Tuesday, December 24, 2019

Human Breast A Transplant Organ Consisting Of Lobular...

Human breast is a glandular organ comprising of lobular organization. A breast lobe has a lone lactiferous duct which branches in various segmental ducts with thousands of terminal ducts and lobules and ultimately opening at the nipple. Within the breast, the epithelial structure conquers a pyramid-like tissue space with the nipple at its tip and a broad base. As human breast is a pair, the lobes are recognized as individual units without any connections between them. It has been observed that the number of lobes, in a women’s lifetimes, remains constant even though the size varies based on progressive and regressive process that involving the role of age and hormonal status . In the second trimester of the embryonic development the primary ectoderm produces a bud like out growth known as the primordium nipple. During 21st-25th week of gestation, secondary buds develop into the underneath mesenchyme and slowly forms the breast166. But breasts continue to develop during fetal l ife with formation of fresh projections and the exhibit duel-cell architecture. The central cells express cytokeratins (CKs) 14 and 19 while the peripheral ones express CK19 only . As a human infant undergoes development after birth, the breast undergoes involution post influences of maternal hormones. During puberty, stromal elements undergo growth and ramification of ductal tree and lobe formation enlarges the breast167. Based on menstrual cycle, the female breast undergoes cyclical changes during

Monday, December 16, 2019

Team Discussion on App for Apple iPhone Free Essays

Working for Apple the type of research one would want to see done would be a reporting study. This type of study will display data that provides statistics comparing the application to other applications that users are already using and what features of the application users are wanting. This report is the first step in determining if the application is worth moving forward with. We will write a custom essay sample on Team Discussion on App for Apple iPhone or any similar topic only for you Order Now Once the application shows to be a valuable asset for users the next step is to focus on what the users want in an applications. I would expect the proposal to demonstrate on how user-friendly the application is, and who is the target audience this application is intended for. Many users want an application easy to use that a child can figure it out in one step. Another key factor users look for is the cost of the application. Keeping the cost down at a low price that is appealing to the user but profitable to the company will make this application successful for both parties. Derek’s Response to Nancy I think the reporting study would be a great way to determine whether or not to move forward with the acceptance of the App into the Apple Store. This is because the reporting study would give background information on the App study, including concrete details of the App and how it differs from other Apps in the same category. It would also give the necessary data to determine what group the App would best suit. This information would be obviously important because one would not want an App that is geared toward adults be in the viewing control of children without the proper warning labels. I think that it would have been a great way to find out if the customers would want to buy an app or not. When people are getting ready to get an app they definitely want something that is useful and they will not be disappointed with. When doing research you will be able to see if the app will do good or not. Also it will be able to decipher whether you are gearing it toward the correct audience. You do not want to just throw something out there to see if it will work without research. It is important to test your product before delivering it. If I worked for Apple, the first thing I would want to see in a proposal for a new App for the App store would be whether or not the proposal has met the policy and procedures by Apple. The reason I would do this is that if the requirements were met the App would be compatible with the requirements of Apple’s App store on so many levels. For example: If there are technical glitches or errors the App will not be approved by our technicians. I will also look for the simplicity of the App to make sure it will be user friendly. Creativity would play a big role in App approval because with more than 300,000 Apps in the App store, we would think it is important for the App to be unique. Research would be just as important as policies and procedures to gain approval for the App store. Although at times because of inappropriate research, we would have to be aware of this type of research to make sure it does not become part of the Apple App store. Inappropriate research will include anything that has any racial tones that may offend any of our customers and research must be in compliance with the law. Bottom line is, I will not except anything is unethical. User-friendly application is a function that users look for when deciding on purchasing the application or not. Statics stating what functions users are most likely to be attractive to provides insight if the product will be successful. These statics are important and presenting them in the proposal will help for determination of releasing the application. The application uniqueness is also important and knowing the competition of other application provides insight. Researching applications similar to the one in the proposal will reflect on the popularity of the new application. Following policies, procedures, compatibility, and ethical conduct are very important steps in business, but I am not sure if this information is appropriate research for a proposal. I agree with Derek on this one. You have to make sure that you can get approval from the app store before you try to finalize your product. If you were to introduce a product that was not something that the App store would not even be allowed to have in there store then you would be just wasting time. Research is the key ingredient to making sure that you are producing the right type of app or anything else. Without this we would have a lot of failed businesses. Always make sure that what we are producing is what the people want. Developers are constantly inventing and improving apps for the Apple ® iPhone ® mobile digital device. As a representative for Apple, researching the market of available apps helps take the first step into developing a successful app. A new app proposal requires a content analysis that helps educate developers on successful app designsand marketing. Proving there is a consumer interest for the app from a variety of age groups, demographics, genders, and geographical locations may help determine whether or not the app gets approved. The proposal should provide evidence regarding how the potential app meets the needs of Apple’s customer base. The proposed app plans should surpass the competition by demonstrating that it is one of a kind and has potential room for growth. The research of the app should determine its reliability and show data that ensure the app functions properly with the operating systems (OS) configurations for each device Apple offers. There are numerous apps with an exceedingly crowded market that the barrier to access is low and the barrier to attaining success is high. Offering research for an app that is difficult to duplicate but easy for customers to download will help in the approval process. However, including inappropriate research in the proposal is cause for disapproval. Technical problems like annoying bugs and constant crashes will result in disapproval from Apple. Using images, words, software, or ideas that Apple owns or information that does not pertain directly to the app and its functionality, technical content, or design criteria is inappropriate (Apple, 2012). Proposals containing explicit or offensive material such as adult material, racial slurs, and any kind of discrimination and defamation are considered inappropriate and disapproval may occur (Apple, 2012). However, there is also research that can be one of the priciest errors developers can make. Applying funds to insufficient research or researching ideas that are extensively available becomes futile for developers. They concentrate on generating original ideas and waste time as well as energy producing those apps. How to cite Team Discussion on App for Apple iPhone, Papers

Saturday, December 7, 2019

Use of Machine Learning Program & Techniques-Samples for Students

Question: Discus about the Use of Machine learning program and techniques of data mining for speech to speech summarization of the text. Answer: Title: Investigation on the machine learning and data mining activities associated with the speech to speech and speech to text summarization. Introduction: In this paper we are going to research on the use of machine learning program and techniques of data mining for speech to speech summarization of the text. The speech recognition is the technologies which are used for converting the language spoken by the user into the text format by the computer. The voice recognition is the major component of the speech recognition methodology. It is the automatic recognition of the speech for mining of the text from the available data. It is the procedure followed for determining the relevant information and high quality data for the test available. The statistic pattern learning is the most useful techniques used for devising the trends in the accumulation of the high quality and accurate information. The summaries are presented by the speech methodology is categorised into two types which are classified as concatenation of the segmentation of the speech for extracting the unique speech presented and the second method synthesizing process used fo r summarization by making use of speech synthesizer. Research aim: The aim of the research is to implement the techniques of data mining for reducing the errors occurred in the compilation of the sentences. It helps in recognizing the procedures which are used for reducing the errors in the speech to speech program. Research questions and Objectives: The research questions which are undertaken for the completion of the research study are described below: How to avoid the wrong information due to errors in the speech recognition? Objective: To record the errors occurring in the speech recognition Policies used for minimizing the occurrence of errors in the speech recognition techniques The method used for removing the less important information before the compilation of the sentences. Proposal of different data mining techniques for the reduction of errors occurred in the sentence formation. Focusing on the advantage of data mining techniques in the recognition of less important data. Research hypothesis The performance of the existing system can be improved by indulging the speech recognition system in the working platform (Berry, 2014). The research hypothesis is constructed in developing the research study on the error occurred in process of speech recognition. The under-generation and the over-generation are used for creating the interpretation of the research hypothesis undertaken (Perner, 2010). H0: The rejection and acceptance of the error in the sentence construction helps in removing the errors from the phrases used. H1: The clarification of the request helps in confirmation of the concept for designing the error resistance model for the activities undertaken to establish error resistance working model for the summarization of the speech to speech and speech to text model (Cercone, 2012). H2: The concatenation of the speech segment for summarizing the scenario of sentences, words, and phrases helps in extracting the relevant information from it. H3: The errors are the deviation of the outcome from the expected results. H4: The word error rate is used for computing the errors are used for identifying the rate of insertion, deletion, and substitution. H5: The concept error rate is used for determining the quantity of errors occurred in the concatenation of the sentences (Dinoy, 2016). H6: The categorisation of the rigid parser helps in demonstrating the over generation and under generation of the resources. H7: The tendency of recalling the occurrences of the activities helps in managing the errors. The consequences help in determining the constraint ratio. Background and significance The communication plays a vital role in gaining accuracy in the working structure of the report generation and required documentation. The process of speech recognition was introduced in converting the spoken words into textual sentences (Moreno, 2012). The efficiency of converting the words into text can be improved and enhanced with the accumulation of the speech program. It has been analysed that the errors occurred in the preparation of the documentation through speech recognition system raises the dissatisfaction in the user because of the occurrence of errors in the development of the report. The turnaround time of producing the report is increased due to occurrence of errors. The substitution of the wrong word in the phrases can completely changed the meaning of the sentences. The focus should be given on the usage of the two stage protocol for constructing the sentence with accuracy. The effectiveness and efficiency can be improved of the sentence construction for managing the compression ratio of larger sentence to reduce the rate of error. The extraction of the sentence depends on the use of three scores which are categorised as Linguistic score, significance score, and confidence score. The error handling helps in demonstrating the errors in the scenari (Liu, 2006). The following table shows the types of errors which occurred in the given scenario of speech recognition techniques (Source: Kang, 2013). Dialogue strategies to overcome speech recognition errors inform filling dialogue) Categories Over generation error type Under generation error type Categorisation of the errors Low precision of errors Low recalling of the errors Occurrence of ASR errors Process of insertion Process of deletion Occurrence of miscommunication Occurrence of misunderstanding in the complete process of the concatenation of the sentences Non-understanding of the error prone construction of the sentences. Consequences of the error prone sentence Failure of the task Repetition of the occurrence of errors The identification of the errors helps in reducing the errors in the construction of the speech recognition system. The acoustic and language model is used for determining the constant error which occurred in the construction of the sentence. The speech recognition system is associated with the variable errors. The expectation of the outputs helps in developing the error resistance system which is capable of enlightening the clear understanding of the information transmitted by the speaker. The handling of error helps in resolving the issues associated with the understanding capability of the receiver and the sender. The false exception and rejection helps in optimising the reduction in the error rate. The correction and in-correction in the decision creates the problem for the speech recognition system. The detection and correction methods are used list of methods used for determining the sequence of activities. The command dialogue helps in establishing the n-list associated with the errors. The prediction of error helps in handling the classification of baseline for the improvement plan for continuous error deduction procedure used. The decision chart or deduction of the error works on four processes which are classified as acceptance, rejection, understanding of the display, and clarification of the request. The division of the problem helps in the identification of the error prone area. The theoretical model for predicting the data driven policies helps in analysing the ground decision. The error detection in the later phases helps in predicting the inconsistency for the re-evaluation of the assumptions taken in the development of the speech to speech summarization and speech to text summarization. The following table shows the positive and negatives cues of the speech recognition system which is undertaken for analysing the speech to speech and speech to text summarization. The handling of error can be done by the series of functions which are categorised as development of the new system, repetition of the processes undertaken by the user, integration of the system, modification of the user requirement, and the negation of the user. Research methodology The qualitative and quantitative research methodology has been undertaken on analysing the facts and figures associated with the investigation of the data mining techniques used in the formulation of the speech to speech and speech to text summarization. The interview is arranged with the IT experts to gather facts and figures which helps in analysing the investigation of the data mining techniques used in the formulation of the speech to speech and speech to text summarization. The scenario of interview is developed for formulating the solution for reducing the errors occurred in the system of speech synthesis. The questionnaire is arrange with many IT expert under the same platform for analysing the difference in the information provided by different expert on the program of data mining in the speech text summarization system. Focused groups is group of IT experts which are in collecting the relevant information based on real and virtual facts collected from the different sources o n the common platform (Najafabadi, 2012). Sampling method is based on the selection of the small sample for organizing the experiment for analysing the frequency of errors occurred in the construction of the sentence. The sampling methods help in analysing the defects and gaps which exist in the concatenation of the phrases for the development of the sentence (Kawle, 2013). The qualitative and quantitative methods are used for predicting the errors occurred in the spoken sentences. The data gathered from focused groups, interviews, and other qualitative approach helps in providing the details of using the following data mining techniques for reducing the errors in the sentence formation which are stated below: Unsupervised data mining techniques Semi-Supervised Data mining techniques Supervised data mining techniques Sentiment lexicon techniques Classification of the lexical sentiments Support vector machine Distinction of positive and negative binary data Transductive vector machine support Use of nave bayes Orientation of the sentiments Detection of the polarity Adaptation of the nave bayes Extraction of the patterns Mincuts of the randomised data Developments of the decision tree. The identification of the problematic error helps in devising the concept level clarification. The alternative clarification helps in generating parallel hypothesis for the management of the decision problem. The fixing of the errors helps in developing the robust processes for determining the uncertainty and ambiguity in the development of the speech recognition system. The following tasks should be taken under consideration while collecting data on the speech to speech synthesis. Tokenization process: The sequence of character is break down into tokens which can be used for putting punctuation marks in the text for further processing. The higher rte is generated with longer sentences. Filtering: Filtering is the process focuses on removing the extra word from the frequently appeared text. Lemmatization: It is used for doing the morphological analysis on the sequence of characters. Stemming: Stemming is the methodology used for obtaining the root words from the sequence of derived words. Research Philosophy: Research philosophy focuses on the use of knowledge for speech text summarization. The complexity with the investigating techniques is raised due to the potential risks associated with the deployment of speech recognition system. The accuracy is the major factor associated with the preparation of the report through the speech to speech recognition system or speech to text recognition system. The ontological research philosophy is used for defining the process of conceptualization between different terms for finding out the relationship between the knowledge based recognized domains. Research Strategy: The focus should be given on the sources which are responsible for the occurrence of uncertainty and the errors in human, age, gender, and variability in the dialects used for the construction of the sentence for communication between the participating units. The speaking rate is the major factor responsible for the occurrence of errors. The unpredictable results helps in establishing the errors related with the out of vocabulary. The errors can be handled with the distinguishing of bugs and exceptions which occurred in the speech recognition system. Research Design: The research design focuses on analysing the research problem and correlation between dependent and independent variable for analysing the speech text summarization. The system is comprised with the robust assessment of the hypothetical activities for resolving the occurrence of error occurred in the complete scenario for the construction and concatenation of the sentences (Neto, 2015). The acceptance of the concept helps in defining the error resistance background for the construction of the sentence. Data Collection: The following are the data collection methods used for collecting data for the speech text summarization process: Nave Bayes Collection Method: This is the approach which is based on assumptions. Bayes rules is used for collecting the parameters for the study. The independency is the common rule which is used for the different data collected. The calculation of the probabilities can be done by summing the probabilities for the variety of components (Sources: Nenkova, A. (2016). A survey of text summarization techniqies. 1st ed. [ebook]). The highest probability can be calculated by the following: Nearest Neighbour collection method: This method is used for measuring distance based data to improve the classification methodology. The k-nearest neighbour is used for the classification of different components. Decision Tree collection method: This methodology is used for calculating the value of the attributes in the given hierarchy of data. The root node is classified as the instance for the tree structure. Support Vector Machine: This is used for supervising the liner classifiers which helps in taking the decision based on the linear combination of the data. It helps in providing the robust data of high dimension. Data analysis: Analysis of the Speech text summarization: The speech text summarization depends on the sequence of two stages which are categorised as extraction of the sentence and compaction of the sentence. The result helps in calculating the accuracy of the sentence. The filers are removed from the sentence for controlling the automatic speech system. The following diagram shows the automation system which is used for text summarization ( Source: Zhong, N. (2012). Effective pattern discovery for text mining. 1st ed. [ebook]). Procedure of sentence extraction: The following equation is used for storing the result of the automatic speech summarization system. Here, N represent the number of words used in representing the construction of the sentence, L(wi) represent the linguistic score of the sentence, I(wi) represent the significance score, and C(wi) represent the confidence score of the sentence (W). These scores help in the representation of the compaction method. Compaction of the sentence: The low significant sentences are removed for achieving accuracy by reducing the number of errors. The transcription procedures are used for calculating the sentence compaction score. The three scores are used for managing transcription of the word (Govindraj, 2016). The dependency of the phrases can be improved by providing structured format to the grammar used in the construction of the sentences (Chakraborty, 2014). The concatenation score is used for measuring the compression ratio with the use of protocol named as 2-stage dynamic protocol. The fillers are used for managing the difference between the participating units. The rejection and acceptance of the error in the sentence construction helps in removing the errors from the phrases used (Bramer, 2013). The clarification of the request helps in confirmation of the concept for designing the error resistance model for the activities undertaken to establish error resistance working model for the summarization of the speech to spe ech and speech to text model (Furui, 2013)). This protocol helps in developing the compression ratio according to the demand of the sentence formation to achieve accuracy and minimizing errors in the sentence. The accuracy in the summarization can be achieved by using transcription process in the evaluation of the set target. The variation in the speech summarization theory helps in constructing the sentence with accuracy (Zhong, 2012). The following string shows the example of sentence formation with the use of speech recognition technique with accuracy (Source: Zhong, 2012. Effective pattern discovery for text mining. 1st ed. [ebook]). The two stage protocol depends on the random selection of the word, the weighting factor, optimization of the value used, and recurrence in the summary word, linguistic score, confidence score, and significance score. Analysis of the Speech to speech presentation and summarization: The concatenation of the speech segment for summarizing the scenario of sentences, words, and phrases helps in extracting the relevant information from it. The importance should be given on extracting criteria. The summary speech is used for managing the concatenation methods (Antino, 2012). The investigation helps in managing the relationship between words, sentences, and fillers. The reliability of the method can be achieved by managing the occurrence of spontaneous speech. The correction is recognized automatically for extracting the speech segmentation (Chakraborty, 2010). The purpose of this paper is to reduced errors from the construction of the sentence. The important sentence depends on the synchronization of the result achieved. The removal of the unwanted words helps in reducing the length of the sentence and reducing errors (Gonzalez, 2015). The filler units are used for managing the boundaries of the sentence for extracting expected results. The intermediate results can be developed with the use of continuity of acoustic speech. The evaluation of the units depends on the recognition of the consequences associated with the speech extraction. Concatenation of the participating units: The segmentation boundaries help in attaining the required results for obtaining amplitude difference for the waveform formation for analysing the accuracy for the deployment of result. The speaking rate helps in managing the unnatural sound held in the short pause of the sentence. It has been analysed that the length of the speaking rate should be in between 50 and 100 ms (Kang, 2013). The summarization of the sentence helps in increasing the data transfer rate for enhancing the frequency of conversion. The speech period is the time for which text sentences are summarised to give accuracy and relevancy in the result. The text sentences are used for managing the time required for the concatenation of the sentences. The upgrading of the short pause ad long pause helps in demonstrating the speech waveforms for managing the boundaries of the sentences. The attenuation is inserted in the sentences for reducing the rate of errors in the construction of the sentences through the medium of speech recognition system. The insertion of the long pauses helps in identifying the completion of the sentence (Bijuraj, 2013). The concatenation of the word limit helps in analysing the termination of the sentences. Time Line Activity chart of the research study Timeline for starting the research Timeline for completing the research Description of the activities performed Research undertaken 09-Oct-17 10-Oct-17 The research is undertaken on the topic Investigation on the machine learning and data mining activities associated with the speech to speech and speech to text summarization Selection of team criteria 11-Oct-17 13-Oct-17 The experienced and the expertise person should be selected for carrying out the research activities in gathering relevant data for the research study Collection of data required for carrying out the process of literature review 14-Oct-17 16-Oct-17 The format should be developed for collecting required data to carry out the research studies. Tools and techniques used for data analysis 17-Oct-17 19-Oct-17 The study of the literature helps in analysing the required data selection needed for the designing of the research study Construction of research questions according to the research undertaken 20-Oct-17 23-Oct-17 The designing of the research question is the vital role in the preparation of the research study because the data collected from different sources are depends on the primary and secondary research questions prepared for the completion of the research study Drafting a research proposal 24-Oct-17 26-Oct-17 The designing of the draft is based on the research questions designed on the investigation of speech to speech summarization with the use of machine learning program Deployment of research methodologies 27-Oct-17 20-Nov-17 The relevant and adequate data can be collected with the use of research methodologies such as face to face interview, questionnaire, focused group, observation, and others Reviewing of the draft prepared for research undertaken 21-Nov-17 23-Nov-17 Reviewing of the draft prepared for research undertaken Providing the research draft for sanctioning and approval 24-Nov-17 27-Nov-17 The research authority approved the research proposal on the investigation of speech to speech summarization with the use of machine learning program (Garla, 2010) Analysis of the research documentation collected 28-Nov-17 30-Dec-17 The data analysis of tools and technologies are used for investigation of speech to speech summarization with the use of machine learning program Findings and assessment 01-Jan-18 10-Jan-18 The focus should be given on the clear understanding on investigation of speech to speech summarization with the use of machine learning program Completion of the undertaken research 11-Jan-18 20-Jan-18 Submission of the research undertaken on the topic Investigation on the machine learning and data mining activities associated with the speech to speech and speech to text summarization Budget The budget allocated for conducting the research study is around $ 6000 on investigation of speech to speech data mining techniques. $ 1200 is allocated for conducting the literature review and collecting data from research methodologies. $ 1200 is used for data collection and data analysis for finding the result of the undertaken research. $ 2500 is spent on traveling allowance. $ 1100 are used for conducting experiments for the analysis of the error occurred in the process of data mining in the speech to speech summarization. The following table shows the distribution of the budget allocated to the research study. Activities Allocated budget literature review and collecting data from research methodologies $ 1200 Data collection and data analysis for finding the result of the undertaken research $ 1200 Traveling allowance $ 1500 Conducting experiments for the analysis of the error occurred in the process of data mining in the speech to speech summarization $ 1100 Development of the research report $ 1000 Total estimated cost $ 6000 Research limitation The limitation of the research is the number of samples used for study. The sub-analysis of the finding has not been done (Nenkova, 2016). The proposed budget and time is inefficient in handling the research proposal. Constraints: The major constraints associated with the speech text summarization are the concatenation of the words and the construction of the sentence. Ethical Issues: The miscommunication is the major problem which can give birth to the misunderstanding. The interpretation of the speaker language is wrongly done by the receiving units which creates the scenario of the misunderstanding. The intention and the emotion of the listener are misinterpreted by the receiver. Conclusion The purpose of this paper is to reduced errors from the construction of the sentence. The important sentence depends on the synchronization of the result achieved. The removal of the unwanted words helps in reducing the length of the sentence and reducing errors. The two phased protocol developing the compression ratio according to the demand of the sentence formation to achieve accuracy and minimizing errors in the sentence. The reliability of the method can be achieved by managing the occurrence of spontaneous speech. The errors is the deviation of the outcome from the expected results. The errors are categorised into two categories which are under generation and over generation. The insertion and deletion process is used for handling the errors in the construction of the sentence. The correction is recognized automatically for extracting the speech segmentation. The clarification of the request helps in confirmation of the concept for designing the error resistance model for the a ctivities undertaken to establish error resistance working model for the summarization of the speech to speech and speech to text model. The attenuation is inserted in the sentences for reducing the rat of errors in the construction of the sentences through the medium of speech recognition system. The effectiveness and efficiency can be improved of the sentence construction for managing the compression ratio of larger sentence to reduce the rate of error. References: Antino, H. (2012). Emerging technologies of text mining: Techniques and applications. 1st ed. [ebook]. [Accessed 06 Oct. 2017]. Berry, M. (2014). Survey of text mining: clustering, classification, and retrieval. 1st ed. [ebook]. [Accessed 06 Oct. 2017]. Bijuraj, L. (2013). Clustering and its applications. 1st ed. [ebook]. [Accessed 06 Oct. 2017]. Bramer, M. (2013). Research and development in intelligent system. 1st ed. [ebook]. [Accessed 06 Oct. 2017]. Cercone, N. (2012).Advances in knowledge discovery and data mining . 1st ed. [ebook]. [Accessed 06 Oct. 2017]. Chakraborty, G. (2014). Analysis of unstructured data: Application of text analytics and sentiment mining. [Accessed 06 Oct. 2017]. Dinoy, I. (2016). Methodological challenges and analytic opportunities for modelling and interpreting big data. 1st ed. [ebook]. [Accessed 06 Oct. 2017]. Furui, S. (2013). Speech to speech and speech to text summarization. 1st ed. [ebook]. [Accessed 06 Oct. 2017]. Garla, S. (2010). Text mining and analysis. 1st ed. [ebook]. [Accessed 06 Oct. 2017]. Gonzalez, G. (2015).Recent advances and emerging applications in text and data mining for biomedical discovery. [Accessed 06 Oct. 2017]. Govindraj, S. (2016). Intensified sentiments analysis of customers product review using acoustic and textual features. 1st ed. [ebook]. [Accessed 06 Oct. 2017]. Kang, S. (2013). Dialogue strategies to overcome speech recognition errors inform filling dialogue. [Accessed 06 Oct. 2017]. Kawle, A. (2013). Text to speech web plugin with text summarisation. 1st ed. [ebook]. [Accessed 06 Oct. 2017]. Koulali, R. (2011). Topic detection and multi-word terms extraction for Arabic unvowelized documents. 1st ed. [ebook]. [Accessed 06 Oct. 2017]. Liu, Y. (2006). A study on the machine learning from imbalanced data for sentence boundary detection in speech. 1st ed. [ebook]. [Accessed 06 Oct. 2017]. Moreno, A. (2012). Text analytics: The convergence of big data and artificial intelligence. 1st ed. [ebook]. [Accessed 06 Oct. 2017]. Najafabadi, M. (2012). Deep learning application and challenges in big data. 1st ed. [ebook]. [Accessed 06 Oct. 2017]. Nenkova, A. (2016). A survey of text summarization techniqies. 1st ed. [ebook]. [Accessed 06 Oct. 2017]. Neto, J. (2015). Automatic text summarization using a machine learning approach. 1st ed. [ebook]. [Accessed 06 Oct. 2017]. Perner, P. (2010). Machine learning and data mining in pattern recognition. 1st ed. [ebook]. [Accessed 06 Oct. 2017]. Solka, J. (2013). Text data mining theory and methods. 1st ed. [ebook]. [Accessed 06 Oct. 2017]. Zhong, N. (2012). Effective pattern discovery for text mining. 1st ed. [ebook]. [Accessed 06 Oct. 2017].

Use of Machine Learning Program & Techniques-Samples for Students

Question: Discus about the Use of Machine learning program and techniques of data mining for speech to speech summarization of the text. Answer: Title: Investigation on the machine learning and data mining activities associated with the speech to speech and speech to text summarization. Introduction: In this paper we are going to research on the use of machine learning program and techniques of data mining for speech to speech summarization of the text. The speech recognition is the technologies which are used for converting the language spoken by the user into the text format by the computer. The voice recognition is the major component of the speech recognition methodology. It is the automatic recognition of the speech for mining of the text from the available data. It is the procedure followed for determining the relevant information and high quality data for the test available. The statistic pattern learning is the most useful techniques used for devising the trends in the accumulation of the high quality and accurate information. The summaries are presented by the speech methodology is categorised into two types which are classified as concatenation of the segmentation of the speech for extracting the unique speech presented and the second method synthesizing process used fo r summarization by making use of speech synthesizer. Research aim: The aim of the research is to implement the techniques of data mining for reducing the errors occurred in the compilation of the sentences. It helps in recognizing the procedures which are used for reducing the errors in the speech to speech program. Research questions and Objectives: The research questions which are undertaken for the completion of the research study are described below: How to avoid the wrong information due to errors in the speech recognition? Objective: To record the errors occurring in the speech recognition Policies used for minimizing the occurrence of errors in the speech recognition techniques The method used for removing the less important information before the compilation of the sentences. Proposal of different data mining techniques for the reduction of errors occurred in the sentence formation. Focusing on the advantage of data mining techniques in the recognition of less important data. Research hypothesis The performance of the existing system can be improved by indulging the speech recognition system in the working platform (Berry, 2014). The research hypothesis is constructed in developing the research study on the error occurred in process of speech recognition. The under-generation and the over-generation are used for creating the interpretation of the research hypothesis undertaken (Perner, 2010). H0: The rejection and acceptance of the error in the sentence construction helps in removing the errors from the phrases used. H1: The clarification of the request helps in confirmation of the concept for designing the error resistance model for the activities undertaken to establish error resistance working model for the summarization of the speech to speech and speech to text model (Cercone, 2012). H2: The concatenation of the speech segment for summarizing the scenario of sentences, words, and phrases helps in extracting the relevant information from it. H3: The errors are the deviation of the outcome from the expected results. H4: The word error rate is used for computing the errors are used for identifying the rate of insertion, deletion, and substitution. H5: The concept error rate is used for determining the quantity of errors occurred in the concatenation of the sentences (Dinoy, 2016). H6: The categorisation of the rigid parser helps in demonstrating the over generation and under generation of the resources. H7: The tendency of recalling the occurrences of the activities helps in managing the errors. The consequences help in determining the constraint ratio. Background and significance The communication plays a vital role in gaining accuracy in the working structure of the report generation and required documentation. The process of speech recognition was introduced in converting the spoken words into textual sentences (Moreno, 2012). The efficiency of converting the words into text can be improved and enhanced with the accumulation of the speech program. It has been analysed that the errors occurred in the preparation of the documentation through speech recognition system raises the dissatisfaction in the user because of the occurrence of errors in the development of the report. The turnaround time of producing the report is increased due to occurrence of errors. The substitution of the wrong word in the phrases can completely changed the meaning of the sentences. The focus should be given on the usage of the two stage protocol for constructing the sentence with accuracy. The effectiveness and efficiency can be improved of the sentence construction for managing the compression ratio of larger sentence to reduce the rate of error. The extraction of the sentence depends on the use of three scores which are categorised as Linguistic score, significance score, and confidence score. The error handling helps in demonstrating the errors in the scenari (Liu, 2006). The following table shows the types of errors which occurred in the given scenario of speech recognition techniques (Source: Kang, 2013). Dialogue strategies to overcome speech recognition errors inform filling dialogue) Categories Over generation error type Under generation error type Categorisation of the errors Low precision of errors Low recalling of the errors Occurrence of ASR errors Process of insertion Process of deletion Occurrence of miscommunication Occurrence of misunderstanding in the complete process of the concatenation of the sentences Non-understanding of the error prone construction of the sentences. Consequences of the error prone sentence Failure of the task Repetition of the occurrence of errors The identification of the errors helps in reducing the errors in the construction of the speech recognition system. The acoustic and language model is used for determining the constant error which occurred in the construction of the sentence. The speech recognition system is associated with the variable errors. The expectation of the outputs helps in developing the error resistance system which is capable of enlightening the clear understanding of the information transmitted by the speaker. The handling of error helps in resolving the issues associated with the understanding capability of the receiver and the sender. The false exception and rejection helps in optimising the reduction in the error rate. The correction and in-correction in the decision creates the problem for the speech recognition system. The detection and correction methods are used list of methods used for determining the sequence of activities. The command dialogue helps in establishing the n-list associated with the errors. The prediction of error helps in handling the classification of baseline for the improvement plan for continuous error deduction procedure used. The decision chart or deduction of the error works on four processes which are classified as acceptance, rejection, understanding of the display, and clarification of the request. The division of the problem helps in the identification of the error prone area. The theoretical model for predicting the data driven policies helps in analysing the ground decision. The error detection in the later phases helps in predicting the inconsistency for the re-evaluation of the assumptions taken in the development of the speech to speech summarization and speech to text summarization. The following table shows the positive and negatives cues of the speech recognition system which is undertaken for analysing the speech to speech and speech to text summarization. The handling of error can be done by the series of functions which are categorised as development of the new system, repetition of the processes undertaken by the user, integration of the system, modification of the user requirement, and the negation of the user. Research methodology The qualitative and quantitative research methodology has been undertaken on analysing the facts and figures associated with the investigation of the data mining techniques used in the formulation of the speech to speech and speech to text summarization. The interview is arranged with the IT experts to gather facts and figures which helps in analysing the investigation of the data mining techniques used in the formulation of the speech to speech and speech to text summarization. The scenario of interview is developed for formulating the solution for reducing the errors occurred in the system of speech synthesis. The questionnaire is arrange with many IT expert under the same platform for analysing the difference in the information provided by different expert on the program of data mining in the speech text summarization system. Focused groups is group of IT experts which are in collecting the relevant information based on real and virtual facts collected from the different sources o n the common platform (Najafabadi, 2012). Sampling method is based on the selection of the small sample for organizing the experiment for analysing the frequency of errors occurred in the construction of the sentence. The sampling methods help in analysing the defects and gaps which exist in the concatenation of the phrases for the development of the sentence (Kawle, 2013). The qualitative and quantitative methods are used for predicting the errors occurred in the spoken sentences. The data gathered from focused groups, interviews, and other qualitative approach helps in providing the details of using the following data mining techniques for reducing the errors in the sentence formation which are stated below: Unsupervised data mining techniques Semi-Supervised Data mining techniques Supervised data mining techniques Sentiment lexicon techniques Classification of the lexical sentiments Support vector machine Distinction of positive and negative binary data Transductive vector machine support Use of nave bayes Orientation of the sentiments Detection of the polarity Adaptation of the nave bayes Extraction of the patterns Mincuts of the randomised data Developments of the decision tree. The identification of the problematic error helps in devising the concept level clarification. The alternative clarification helps in generating parallel hypothesis for the management of the decision problem. The fixing of the errors helps in developing the robust processes for determining the uncertainty and ambiguity in the development of the speech recognition system. The following tasks should be taken under consideration while collecting data on the speech to speech synthesis. Tokenization process: The sequence of character is break down into tokens which can be used for putting punctuation marks in the text for further processing. The higher rte is generated with longer sentences. Filtering: Filtering is the process focuses on removing the extra word from the frequently appeared text. Lemmatization: It is used for doing the morphological analysis on the sequence of characters. Stemming: Stemming is the methodology used for obtaining the root words from the sequence of derived words. Research Philosophy: Research philosophy focuses on the use of knowledge for speech text summarization. The complexity with the investigating techniques is raised due to the potential risks associated with the deployment of speech recognition system. The accuracy is the major factor associated with the preparation of the report through the speech to speech recognition system or speech to text recognition system. The ontological research philosophy is used for defining the process of conceptualization between different terms for finding out the relationship between the knowledge based recognized domains. Research Strategy: The focus should be given on the sources which are responsible for the occurrence of uncertainty and the errors in human, age, gender, and variability in the dialects used for the construction of the sentence for communication between the participating units. The speaking rate is the major factor responsible for the occurrence of errors. The unpredictable results helps in establishing the errors related with the out of vocabulary. The errors can be handled with the distinguishing of bugs and exceptions which occurred in the speech recognition system. Research Design: The research design focuses on analysing the research problem and correlation between dependent and independent variable for analysing the speech text summarization. The system is comprised with the robust assessment of the hypothetical activities for resolving the occurrence of error occurred in the complete scenario for the construction and concatenation of the sentences (Neto, 2015). The acceptance of the concept helps in defining the error resistance background for the construction of the sentence. Data Collection: The following are the data collection methods used for collecting data for the speech text summarization process: Nave Bayes Collection Method: This is the approach which is based on assumptions. Bayes rules is used for collecting the parameters for the study. The independency is the common rule which is used for the different data collected. The calculation of the probabilities can be done by summing the probabilities for the variety of components (Sources: Nenkova, A. (2016). A survey of text summarization techniqies. 1st ed. [ebook]). The highest probability can be calculated by the following: Nearest Neighbour collection method: This method is used for measuring distance based data to improve the classification methodology. The k-nearest neighbour is used for the classification of different components. Decision Tree collection method: This methodology is used for calculating the value of the attributes in the given hierarchy of data. The root node is classified as the instance for the tree structure. Support Vector Machine: This is used for supervising the liner classifiers which helps in taking the decision based on the linear combination of the data. It helps in providing the robust data of high dimension. Data analysis: Analysis of the Speech text summarization: The speech text summarization depends on the sequence of two stages which are categorised as extraction of the sentence and compaction of the sentence. The result helps in calculating the accuracy of the sentence. The filers are removed from the sentence for controlling the automatic speech system. The following diagram shows the automation system which is used for text summarization ( Source: Zhong, N. (2012). Effective pattern discovery for text mining. 1st ed. [ebook]). Procedure of sentence extraction: The following equation is used for storing the result of the automatic speech summarization system. Here, N represent the number of words used in representing the construction of the sentence, L(wi) represent the linguistic score of the sentence, I(wi) represent the significance score, and C(wi) represent the confidence score of the sentence (W). These scores help in the representation of the compaction method. Compaction of the sentence: The low significant sentences are removed for achieving accuracy by reducing the number of errors. The transcription procedures are used for calculating the sentence compaction score. The three scores are used for managing transcription of the word (Govindraj, 2016). The dependency of the phrases can be improved by providing structured format to the grammar used in the construction of the sentences (Chakraborty, 2014). The concatenation score is used for measuring the compression ratio with the use of protocol named as 2-stage dynamic protocol. The fillers are used for managing the difference between the participating units. The rejection and acceptance of the error in the sentence construction helps in removing the errors from the phrases used (Bramer, 2013). The clarification of the request helps in confirmation of the concept for designing the error resistance model for the activities undertaken to establish error resistance working model for the summarization of the speech to spe ech and speech to text model (Furui, 2013)). This protocol helps in developing the compression ratio according to the demand of the sentence formation to achieve accuracy and minimizing errors in the sentence. The accuracy in the summarization can be achieved by using transcription process in the evaluation of the set target. The variation in the speech summarization theory helps in constructing the sentence with accuracy (Zhong, 2012). The following string shows the example of sentence formation with the use of speech recognition technique with accuracy (Source: Zhong, 2012. Effective pattern discovery for text mining. 1st ed. [ebook]). The two stage protocol depends on the random selection of the word, the weighting factor, optimization of the value used, and recurrence in the summary word, linguistic score, confidence score, and significance score. Analysis of the Speech to speech presentation and summarization: The concatenation of the speech segment for summarizing the scenario of sentences, words, and phrases helps in extracting the relevant information from it. The importance should be given on extracting criteria. The summary speech is used for managing the concatenation methods (Antino, 2012). The investigation helps in managing the relationship between words, sentences, and fillers. The reliability of the method can be achieved by managing the occurrence of spontaneous speech. The correction is recognized automatically for extracting the speech segmentation (Chakraborty, 2010). The purpose of this paper is to reduced errors from the construction of the sentence. The important sentence depends on the synchronization of the result achieved. The removal of the unwanted words helps in reducing the length of the sentence and reducing errors (Gonzalez, 2015). The filler units are used for managing the boundaries of the sentence for extracting expected results. The intermediate results can be developed with the use of continuity of acoustic speech. The evaluation of the units depends on the recognition of the consequences associated with the speech extraction. Concatenation of the participating units: The segmentation boundaries help in attaining the required results for obtaining amplitude difference for the waveform formation for analysing the accuracy for the deployment of result. The speaking rate helps in managing the unnatural sound held in the short pause of the sentence. It has been analysed that the length of the speaking rate should be in between 50 and 100 ms (Kang, 2013). The summarization of the sentence helps in increasing the data transfer rate for enhancing the frequency of conversion. The speech period is the time for which text sentences are summarised to give accuracy and relevancy in the result. The text sentences are used for managing the time required for the concatenation of the sentences. The upgrading of the short pause ad long pause helps in demonstrating the speech waveforms for managing the boundaries of the sentences. The attenuation is inserted in the sentences for reducing the rate of errors in the construction of the sentences through the medium of speech recognition system. The insertion of the long pauses helps in identifying the completion of the sentence (Bijuraj, 2013). The concatenation of the word limit helps in analysing the termination of the sentences. Time Line Activity chart of the research study Timeline for starting the research Timeline for completing the research Description of the activities performed Research undertaken 09-Oct-17 10-Oct-17 The research is undertaken on the topic Investigation on the machine learning and data mining activities associated with the speech to speech and speech to text summarization Selection of team criteria 11-Oct-17 13-Oct-17 The experienced and the expertise person should be selected for carrying out the research activities in gathering relevant data for the research study Collection of data required for carrying out the process of literature review 14-Oct-17 16-Oct-17 The format should be developed for collecting required data to carry out the research studies. Tools and techniques used for data analysis 17-Oct-17 19-Oct-17 The study of the literature helps in analysing the required data selection needed for the designing of the research study Construction of research questions according to the research undertaken 20-Oct-17 23-Oct-17 The designing of the research question is the vital role in the preparation of the research study because the data collected from different sources are depends on the primary and secondary research questions prepared for the completion of the research study Drafting a research proposal 24-Oct-17 26-Oct-17 The designing of the draft is based on the research questions designed on the investigation of speech to speech summarization with the use of machine learning program Deployment of research methodologies 27-Oct-17 20-Nov-17 The relevant and adequate data can be collected with the use of research methodologies such as face to face interview, questionnaire, focused group, observation, and others Reviewing of the draft prepared for research undertaken 21-Nov-17 23-Nov-17 Reviewing of the draft prepared for research undertaken Providing the research draft for sanctioning and approval 24-Nov-17 27-Nov-17 The research authority approved the research proposal on the investigation of speech to speech summarization with the use of machine learning program (Garla, 2010) Analysis of the research documentation collected 28-Nov-17 30-Dec-17 The data analysis of tools and technologies are used for investigation of speech to speech summarization with the use of machine learning program Findings and assessment 01-Jan-18 10-Jan-18 The focus should be given on the clear understanding on investigation of speech to speech summarization with the use of machine learning program Completion of the undertaken research 11-Jan-18 20-Jan-18 Submission of the research undertaken on the topic Investigation on the machine learning and data mining activities associated with the speech to speech and speech to text summarization Budget The budget allocated for conducting the research study is around $ 6000 on investigation of speech to speech data mining techniques. $ 1200 is allocated for conducting the literature review and collecting data from research methodologies. $ 1200 is used for data collection and data analysis for finding the result of the undertaken research. $ 2500 is spent on traveling allowance. $ 1100 are used for conducting experiments for the analysis of the error occurred in the process of data mining in the speech to speech summarization. The following table shows the distribution of the budget allocated to the research study. Activities Allocated budget literature review and collecting data from research methodologies $ 1200 Data collection and data analysis for finding the result of the undertaken research $ 1200 Traveling allowance $ 1500 Conducting experiments for the analysis of the error occurred in the process of data mining in the speech to speech summarization $ 1100 Development of the research report $ 1000 Total estimated cost $ 6000 Research limitation The limitation of the research is the number of samples used for study. The sub-analysis of the finding has not been done (Nenkova, 2016). The proposed budget and time is inefficient in handling the research proposal. Constraints: The major constraints associated with the speech text summarization are the concatenation of the words and the construction of the sentence. Ethical Issues: The miscommunication is the major problem which can give birth to the misunderstanding. The interpretation of the speaker language is wrongly done by the receiving units which creates the scenario of the misunderstanding. The intention and the emotion of the listener are misinterpreted by the receiver. Conclusion The purpose of this paper is to reduced errors from the construction of the sentence. The important sentence depends on the synchronization of the result achieved. The removal of the unwanted words helps in reducing the length of the sentence and reducing errors. The two phased protocol developing the compression ratio according to the demand of the sentence formation to achieve accuracy and minimizing errors in the sentence. The reliability of the method can be achieved by managing the occurrence of spontaneous speech. The errors is the deviation of the outcome from the expected results. The errors are categorised into two categories which are under generation and over generation. The insertion and deletion process is used for handling the errors in the construction of the sentence. The correction is recognized automatically for extracting the speech segmentation. The clarification of the request helps in confirmation of the concept for designing the error resistance model for the a ctivities undertaken to establish error resistance working model for the summarization of the speech to speech and speech to text model. The attenuation is inserted in the sentences for reducing the rat of errors in the construction of the sentences through the medium of speech recognition system. The effectiveness and efficiency can be improved of the sentence construction for managing the compression ratio of larger sentence to reduce the rate of error. References: Antino, H. (2012). Emerging technologies of text mining: Techniques and applications. 1st ed. [ebook]. [Accessed 06 Oct. 2017]. Berry, M. (2014). Survey of text mining: clustering, classification, and retrieval. 1st ed. [ebook]. [Accessed 06 Oct. 2017]. Bijuraj, L. (2013). Clustering and its applications. 1st ed. [ebook]. [Accessed 06 Oct. 2017]. Bramer, M. (2013). Research and development in intelligent system. 1st ed. [ebook]. [Accessed 06 Oct. 2017]. Cercone, N. (2012).Advances in knowledge discovery and data mining . 1st ed. [ebook]. [Accessed 06 Oct. 2017]. Chakraborty, G. (2014). Analysis of unstructured data: Application of text analytics and sentiment mining. [Accessed 06 Oct. 2017]. Dinoy, I. (2016). Methodological challenges and analytic opportunities for modelling and interpreting big data. 1st ed. [ebook]. [Accessed 06 Oct. 2017]. Furui, S. (2013). Speech to speech and speech to text summarization. 1st ed. [ebook]. [Accessed 06 Oct. 2017]. Garla, S. (2010). Text mining and analysis. 1st ed. [ebook]. [Accessed 06 Oct. 2017]. Gonzalez, G. (2015).Recent advances and emerging applications in text and data mining for biomedical discovery. [Accessed 06 Oct. 2017]. Govindraj, S. (2016). Intensified sentiments analysis of customers product review using acoustic and textual features. 1st ed. [ebook]. [Accessed 06 Oct. 2017]. Kang, S. (2013). Dialogue strategies to overcome speech recognition errors inform filling dialogue. [Accessed 06 Oct. 2017]. Kawle, A. (2013). Text to speech web plugin with text summarisation. 1st ed. [ebook]. [Accessed 06 Oct. 2017]. Koulali, R. (2011). Topic detection and multi-word terms extraction for Arabic unvowelized documents. 1st ed. [ebook]. [Accessed 06 Oct. 2017]. Liu, Y. (2006). A study on the machine learning from imbalanced data for sentence boundary detection in speech. 1st ed. [ebook]. [Accessed 06 Oct. 2017]. Moreno, A. (2012). Text analytics: The convergence of big data and artificial intelligence. 1st ed. [ebook]. [Accessed 06 Oct. 2017]. Najafabadi, M. (2012). Deep learning application and challenges in big data. 1st ed. [ebook]. [Accessed 06 Oct. 2017]. Nenkova, A. (2016). A survey of text summarization techniqies. 1st ed. [ebook]. [Accessed 06 Oct. 2017]. Neto, J. (2015). Automatic text summarization using a machine learning approach. 1st ed. [ebook]. [Accessed 06 Oct. 2017]. Perner, P. (2010). Machine learning and data mining in pattern recognition. 1st ed. [ebook]. [Accessed 06 Oct. 2017]. Solka, J. (2013). Text data mining theory and methods. 1st ed. [ebook]. [Accessed 06 Oct. 2017]. Zhong, N. (2012). Effective pattern discovery for text mining. 1st ed. [ebook]. [Accessed 06 Oct. 2017].

Saturday, November 30, 2019

Nestle’s Sustainable Growth in Mature Market Essay Example

Nestle’s Sustainable Growth in Mature Market Essay The company establishment Nestle was first founded by Henri Neslte in the 1860s by developing and producing food products for babies who could not adapt mother’s milk. Following the success in baby food products, Henri incorporated with an Anglo-Swiss condensed milk company to develop dairy products, especially for government supply in World War I. High sensitive and quick responding to the demand of consumer, Nestle continued to create and develop new product mix to canned food, beverage, pet care products, to maximize its scope of business in food segment. Nestle had been incurring high success during its operation in food industry, proved by production many creative product portfolio, double sales and tripled profits, globally brand recognition, offices and factories around the world with the management of previous CEO Helmut Maucher. Maucher successfully promoted Nestle to higher position in market as a global company and has been operating beyond its original Europe boundary. Nestle seems not still happy with what it had obtained. Under leadership of current CEO Peter Brabeck, Nestle is now experiencing a more significant growth and synergies as the top nutrition and food company with strategic management of Brabeck since he took over Nestle in 1997. In today, Nestle has developed another core business to Research and Development sector to support its traditional food and beverage business. Vision and Mission Vision According to Chief Technology Officer, Bauer, of Nestle in his presentation, Nestle has two visions classified for its two core sectors. We will write a custom essay sample on Nestle’s Sustainable Growth in Mature Market specifically for you for only $16.38 $13.9/page Order now We will write a custom essay sample on Nestle’s Sustainable Growth in Mature Market specifically for you FOR ONLY $16.38 $13.9/page Hire Writer We will write a custom essay sample on Nestle’s Sustainable Growth in Mature Market specifically for you FOR ONLY $16.38 $13.9/page Hire Writer For the Nestle’s operation vision, it indicates Nestle’s ambition to be the world’s largest Nutrition, Health, and Wellness company that innovate and distribute nutritious products that satisfy consumers’ nutritional and emotional needs. Additionally, to have continuous product innovations, Nestle realizes the important of new product research and development. As a result, the second sector is established with the vision is â€Å"to create future, move faster and go beyond what consumers tell us† (Bauer 2009). The new sector applies science and technology into innovating and reinnovating consumer=oriented products. Mission Brabeck’s growing strategies are aiming to position Nestle as the market leader in food industry, or at least to rank stably its product categories as second strong product power. Approaches to the mission are now strategically deploying by series of initiatives to increase internal and external operation efficiency. Nestle is currently widely known as the most success company manufacturing and distributing nutritional products for any aspect of health care. That means, Nestle already reaches the first part of its vision, however, Brabeck never stop thinking of giving Nestle to the most possibly highest position as he can and strikes strategies to advance Nestle’s competencies over its major competitors Nestle in a mature market Industry value chain analysis Targeted consumers: Nestle focuses on developing and manufacturing nutritious food and health care products to all types of retail consumers from premature babies to maturity and aging group. Another special profitable market for Nestle is to develop consuming products for pet care In order to Nestle’s products deliver to end-users, they are distributed by large buyers such as wholesalers, supermarkets, schools, businesses. Even they are retail or larger buyers; they of course have power over their choices and expectation of products. They are holding negotiating power on sales contracts at prices and quality they expect to. Nestle is an nutrition, health and wellness business, and it declare consumer orientation is main business development, it thus must notice to consumer’s wants and needs to offer them satisfactory products and acceptable prices. Intensive competition: Although already being the world’s largest food and beverage company, other food companies either globally or regionally achieve some objectives of their expansion strategies during years. Consequently, Nestle’s widespread position is not likely to be stable for a long-run. The three main competitors of Nestle are defined as Kraft, Masterfoods, and Unilever. Additionally, Nestle also must be aware of slow and consistent of local rivals. Both Nestle and its competitors distribute similar products to the same groups of consumers in same markets. Obviously, demand for food is essential and mature; however, with the significant increase in quality of life, people are searching for high qualitative nutritious products that satisfy their demand for health care. Thus, add-ins product is an important strategy for Nestle to remain its world largest position and market share. Key suppliers: strong supply chain is one of the most important competitive advantages to every business. Nestle has a wide supply chain operating over the world, in countries it has representing offices and factories. Similarly to consumer aspect, suppliers also have their owned power in term of conditions and considerations of supply contracts and they are uncontrollable entities. According to Nestle’s official website, it asserts the company has a strong relationship with its suppliers in single market. The relationship and professional corporation are conducted under respect and loyalty elements of non-negotiable standards to generate the competitive advantage to the company. Barriers to entry/exit: There is unlikely chance for a new participant to compete against Nestle and there is no signal from Nestle’s current rivals to exit the industry. The expansion of regional companies, however, must be noticed as they cannot confront to Nestle in global arena but they will probably occupy market share in a particular area. Merges between existing competitors to enhance their capital, market share and competitive factors then can obstruct Nestle’s internal growth. Substitute product: Adopting business strategies Raisch and Ferlic (2005) mentioned in their analysis that Brabeck wanted to achieve four percent of real internal growth when he had recently taken over Nestle in 1997. On the way to reach his goal, Brabeck had been developing challenging objectives such as strengthening innovative capacity and organizational changes. Many strategies were initialed during 1997 to 2005 in order to obtain his ambitious goal and objectives. Corporate level strategies As a global organization international strategy is at the heart of their competitive focus. Nestle’s competitive strategies are associated mainly with foreign direct investment. Nestle aims to balance sales between low risk but low growth countries of the developed world and high risk and potentially high growth markets of Africa and Latin America. Nestle recognizes the profitability possibilities in these high-risk countries, but pledges not to take unnecessary risks for the sake of growth. This process of hedging keeps growth steady and shareholders happy. When operating in a developed market, Nestle strives to grow and gain economies of scale through foreign direct investment in big companies. For example Nestle licenses its brands to local producers. In the developing markets, Nestle grows by manipulating ingredients or processing technology for local conditions, and employ the appropriate brand. For example, in many European countries most chilled dairy products contain sometimes two to three times the fat content of American Nestle products and are released under different brand names. Another strategy that has been successful for Nestle involves striking strategic partnerships with other large companies. In the early 1990s, Nestle entered into an alliance with Coca Cola in ready-to-drink teas and coffees in order to benefit from Coca Cola’s worldwide bottling system and expertise in prepared beverages. European and American food markets are seen by Nestle to be flat and fiercely competitive. Therefore, Nestle is setting is sights on new markets and new business for growth. In Asia, Nestle’s strategy has been to acquire local companies in order to form a group of autonomous regional managers who know more about the culture of the local markets than Americans or Europeans. Nestle’s strong cash flow and comfortable debt-equity ratio leave it with ample muscle for takeovers. Recently, Nestle acquired Indofood, Indonesia’s largest noodle producer. Their focus will be primarily on expanding sales in the Indonesian market, and in time will look to export Indonesian food products to other countries. Nestle has employed a wide-area strategy for Asia that involves producing different products in each country to supply the region with a given product from one country. For example, Nestle produces soy milk in Indonesia, coffee creamers in Thailand, soybean flour in Singapore, candy in Malaysia, and cereal in the Philippines, all for regional distribution. Business level strategies. To be able to adopt Innovation Strengthening objective, Nestle invested in maximizing assets, capacity utilization and distribution network. These investments were to generate operation efficiency and resources for reinforcing brands and stimulate product innovation that increases the company’s competitive advantages. For example, Nestle employed and financially succeeded in MH97, Target 2004+ and Operation Excellent 2007 projects which created considerably savings on capital. Reducing production cost (direct and indirect cost), innovation on production to minimize time and maximize outputs, closure of 165 factories from 1997 to 2002 and focusing on high-performed factories, improve supply chain were implemented during the period. As a result, the company saved up to 7 billion. For more saving, the company initialed FitNes project in 2002 to renovate administrative process that could save 1 billion. The amount saved from those activities was then invested in Ramp;D sector by establishment of Product Technology Centers, Local Application Centers and Clusters in the US, Europe, and partly Asia.

Tuesday, November 26, 2019

The Fresh Prince of Bel-Air Essays

The Fresh Prince of Bel-Air Essays The Fresh Prince of Bel-Air Essay The Fresh Prince of Bel-Air Essay Essay Topic: The Prince The Fresh Prince of Bel-Air is an American sit com, which is targeted at everyone but mainly at teenagers. It has been popular for more then eighteen years. But why would teenagers watch such a TV programme that only teaches them to do something good. This is done in a different way, to do as youre told, keep out of trouble and respect others. So how does it keep its success for over eighteen years? If The Fresh Prince of Bel-Air is just about being good, then why do teenagers still watch this programme? In my opinion I think that its the way the producers use media devices and the structure of the narrative that attracts teenagers rather a repels them.In the beginning of the show we se Will spinning on a throne acting as if hes a king which shows us that he is being the boss (as in a king) and in control everything around him. He is wearing a t-shirt which is a bit like a gangster and cool glasses and one of his legs are up on the throne making him look more of a gangster type then a king. He tells us the story of how his life got twisted upside down when he moved from West Philadelphia to Bel-Air. This appeals to a few audiences because even some teenagers want to either leave home forever or move to their aunty and uncle.The techniques used in this scene are notan lighting which makes it quite normal because its not scary at all. This is important that its not scary because its a comedy show and if they put scary lighting it wouldnt make sense. The camera is at the top and Will is at the bottom, on the floor spinning around on his throne, its quite a close up shot as well. Theres also graffiti in the background. This attracts the teenagers and makes them feel that theyre Will Smith and making them look at Wills point of view, because you know that some teenagers want to be gangsters and want to take over something as being a king, and thats what exactly happens in the first shot. I think that when the audience watches this first shot they will straight away feel that theyre on Wills side because its a quite close up shot and it makes the audience feel that Will is talking straight to them.This shot is related to the title of this page because in this scene Will is acting as a prince because Will is sitting on the throne, and plus on the title it says The Fresh Prince which means hes like a prince.The second scene we see Will doing some graffiti on a wall when all of a sudden, a policeman appears. The policeman scolds Will. Will get a bit scared to see him. Will makes the fool out of the policeman by saying no Im not graffitting its just a deodorant and gets away from trouble.In this scene the media devices used are notan lighting and a close up shot only.The second scene relates to the target audience because there are a few teenagers who think they can do graffiti and act cool by doing it, and also its one of a thing that some teenagers might want to try it out if they havent done it.This scene takes place at t he basketball court where Will and his friends are playing basketball. Will does some silly tricks while his friends are just pushing and shoving each other. Will shoots the ball but misses the basket and the ball bounces to some gangsters, who then gets angry and beat up Will.The techniques used were notan lighting as usual, the camera angle is straight and close up when its at Will when hes playing basketball. Then its a low angle shot looking up when it is at the gangsters because theyre big, strong and scary. Then the camera is overhead and Will and the gangsters are having a fight, which is shown as a birds eye view.When Will is playing basketball he tries to do these cool moves and shoot the ball in the basket but misses which shows hes not actually cool. Will also tries to be a gangster but when he faces the real gangsters he gets scared. This relates to the target audience because this shows how most teenagers act like, because some teenagers act really cool and talk in slan g but when it comes to a challenge or something they get scared back away.If you look close at Wills friends, they are actually a bit stupid because when Will is just standing in one place and doing his tricks, his friends are like jumping about around him, pushing and shoving each other and putting their hands up to stop the ball, when Will isnt doing anything.Wills mum and Will, both, is in his room where his mum is scolding him and pointing her finger at Will (but actually it seems shes scolding at us because of the camera viewpoint). She is also saying something at Will that hes going to moving with his aunty and uncle to Bel-Air.There are a few techniques used in this scene like in-between of extreme shot and really close up shot, like right in the face. Theres also notan lighting as usual in all shots. When Wills mum is talking and pointing her finger at us, because her face is so close to the camera it exactly feels like that she is talking to the people who are watching it. When you look at Wills mum when shes scolding, and at the back the background is in graffiti, I think that Wills mum is acting as a barrier between Will Smith and the bad things like graffiti, fights, and chaos. She doesnt want Will to be getting in any trouble. Now Will is being stopped from doing bad things from his mum, but when he goes away to Bel-Air his mum wont be there so he can do whatever he likes.This scene takes place in where Will whistles for a cab; gets in and off he sets to Bel-Air. On the way he sees the Hollywood sign and other things and gets exited and starts taking photos. When he reaches his uncle and aunties house he yelled to the cab yo home smell you later, and then walks to the house. The media devises used are close up shots and as always notan lighting in every scene. The affect on the viewer is that if Will really is a cool and gangster type then why is he getting happy and excited just seeing the Hollywood sign from far away, because real gangsters woul d say like ya ya so its just Hollywood sign. In my opinion I think that Will is getting happy that he is going to his aunty and uncle who are rich and then says yo home smell you later that also suggests that he is happy to leave west Philadelphia and move to Bel-Air. This appeals to the target audience because some teenagers get bored at home or have a fight with their parents and feel like that they want to leave home and go somewhere else where they would be happier.In conclusion I think that will smith is trying to be a gangster and fit in the west Philadelphia, but what we see is actually happening in the show. We see will trying to be a gangster by doing graffiti, playing basketballbut thats not all, we also see Will doing as his mum says like when she said that he had to move to Bel-Air, he does as hes mum tells him to do. If you really think about it there are quite subliminal messages in the opening sequence. So you see in one way Will tries to be a gangster and show off bu t in the other hand he also listens to his mother. So this shows that pupil can be gangster in school or outside, but also listen to their parents.

Friday, November 22, 2019

Nellie Bly - Investigative Journalist

Nellie Bly - Investigative Journalist The reporter known as Nellie Bly was born Elizabeth Jane Cochran in Cochrans Mills, Pennsylvania, where her father was a mill owner and county judge. Her mother was from a wealthy Pittsburgh family. Pink, as she was known in childhood, was the youngest of 13 (or 15, according to other sources) of her fathers children from both of his marriages; Pink competed to keep up with her five older brothers. Her father died when she was only six. Her fathers money was divided among the children, leaving little for Nellie Bly and her mother to live on. Her mother remarried, but her new husband, John Jackson Ford, was violent and abusive, and in 1878 she filed for divorce. The divorce was final in June of 1879. Nellie Bly briefly attended college at Indiana State Normal School, intending to prepare to be a teacher, but funds ran out in the middle of her first semester there, and she left. She had discovered both a talent and interest in writing and talked her mother into moving to Pittsburgh to look for work in that field. But she did not find anything, and the family was forced to live in slum conditions. Finding Her First Reporting Job With her already-clear experience with the necessity of a woman working and the difficulty of finding work, she read an article in the Pittsburgh Dispatch called What Girls Are Good For, which dismissed the qualifications of women workers. She wrote an angry letter to the editor as a response, signing it Lonely Orphan Girl- and the editor thought enough of her writing to offer her an opportunity to write for the paper. She wrote her first piece for the newspaper, on the status of working women in Pittsburgh, under the name Lonely Orphan Girl. When she was writing her second piece, on divorce, either she or her editor (the stories told differ) decided she needed a more appropriate pseudonym, and Nellie Bly became her nom de plume. The name was taken from the then-popular Stephen Foster tune, Nelly Bly. When Nellie Bly wrote human interest pieces exposing the conditions of poverty and discrimination in Pittsburgh, local leaders pressured her editor, George Madden, and he reassigned her to cover fashion and society- more typical womens interest articles. But those didnt hold Nellie Blys interest. Mexico Nellie Bly arranged to travel to Mexico as a reporter. She took her mother along as a chaperone, but her mother soon returned, leaving her daughter to travel unchaperoned, unusual for that time, and somewhat scandalous. Nellie Bly wrote about Mexican life, including its food and culture- but also about its poverty and the corruption of its officials. She was expelled from the country and returned to Pittsburgh, where she began reporting for the Dispatch again. She published her Mexican writings as a book, Six Months in Mexico, in 1888. But she was soon bored with that work, and quit, leaving a note for her editor, Im off for New York. Look out for me. Bly. Off for New York In New York, Nellie Bly found it difficult to find work as a newspaper reporter because she was a woman. She did some freelance writing for the Pittsburgh paper, including an article about her difficulty in finding work as a reporter. In 1887, Joseph Pulitzer of the New York World hired her, seeing her as fitting into his campaign to expose all fraud and sham, fight all public evil and abuses- part of the reformist trend in newspapers of that time. Ten Days in a Mad House For her first story, Nellie Bly had herself committed as insane. Using the name Nellie Brown, and pretending to be Spanish-speaking, she was first sent to Bellevue and then, on September 25, 1887, admitted to Blackwells Island Madhouse. After ten days, lawyers from the newspaper were able to get her released as planned. She wrote of her own experience where doctors, with little evidence, pronounced her insane and of other women who were probably just as sane as she was, but who didnt speak good English or were thought to be unfaithful. She wrote of the horrible food and living conditions, and the generally poor care. The articles were published in October 1887 and were widely reprinted across the country, making her famous. Her writings on her asylum experience were published in 1887 as Ten Days in a Mad House. She proposed a number of reforms- and, after a grand jury investigation, many of those reforms were adopted. More Investigative Reporting This was followed with investigations and exposà ©s on sweatshops, baby-buying, jails, and corruption in the legislature. She interviewed Belva Lockwood, the Woman Suffrage Party presidential candidate, and Buffalo Bill, as well as the wives of three presidents (Grant, Garfield, and Polk). She wrote about the Oneida Community, an account republished in book form. Around the World Her most famous stunt, though, was her competition with the fictional Around the World in 80 Days trip of Jules Vernes character, Phileas Fogg, an idea proposed by G. W. Turner. She left from New York to sail to Europe on November 14, 1889, taking only two dresses and one bag. Traveling by many means including boat, train, horse, and rickshaw, she made it back in 72 days, 6 hours, 11 minutes and 14 seconds. The last leg of the trip, from San Francisco to New York, was via a special train provided by the newspaper. The World published daily reports of her progress and held a contest to guess her return time, with over a million entries. In 1890, she published about her adventure in Nellie Blys Book: Around the World in Seventy-Two Days. She went on a lecture tour, including a trip to Amiens, France, where she interviewed Jules Verne. The Famous Female Reporter She was, now, the most famous female reporter of her time. She quit her job, writing serial fiction for three years for another New York publication- fiction that is far from memorable. In 1893 she returned to the World. She covered the Pullman strike, with her coverage having the unusual distinction of paying attention to the conditions of the strikers lives. She interviewed Eugene Debs and Emma Goldman. Chicago, Marriage In 1895, she left New York for a job in Chicago with the Times-Herald. She only worked there for six weeks. She met Brooklyn millionaire and industrialist Robert Seaman, who was 70 to her 31 (she claimed she was 28). In just two weeks, married him. The marriage had a rocky start. His heirs- and a previous common-law wife or mistress- were opposed to the match. She went off to cover a womens suffrage convention and interview Susan B. Anthony; Seaman had her followed, but she had the man he hired arrested and then published an article about being a good husband. She wrote an article in 1896 on why women should fight in the Spanish American War- and that was the last article she wrote until 1912. Nellie Bly, Businesswoman Nellie Bly- now Elizabeth Seaman- and her husband settled down, and she took an interest in his business. He died in 1904, and she took over the Ironclad Manufacturing Co. which made enameled ironware. She expanded the American Steel Barrel Co. with a barrel that she claimed to have invented, promoting it to increase the success appreciably of her late husbands business interests. She changed the method of payment of workers from piecework to a salary and even provided recreation centers for them. Unfortunately, a few of the long term employees were caught cheating the company, and a long legal battle ensued, ending in bankruptcy, and employees sued her. Impoverished, she began writing for the New York Evening Journal. In 1914, to avoid a warrant for obstructing justice, she fled to Vienna, Austria- just as World War I was breaking out. Vienna In Vienna, Nellie Bly was able to watch World War I unfolding. She sent a few articles to the Evening Journal. She visited the battlefields, even trying out the trenches, and promoted U.S. aid and involvement to save Austria from Bolsheviks. Back to New York In 1919, she returned to New York, where she successfully sued her mother and brother for the return of her house and what remained of the business she had inherited from her husband. She returned to the New York Evening Journal, this time writing an advice column. She also worked to help place orphans into adoptive homes and adopted a child herself at age 57. Nellie Bly was still writing for the Journal when she died of heart disease and pneumonia in 1922. In a column published the day after she died, famous reporter Arthur Brisbane called her the best reporter in America. Key Facts Family: Mother: Mary Jane Kennedy Cummings (her second marriage, the first was childless)Father: Michael Cochran (mill owner and county judge; had 10 [or 12?] children from a first marriage)Siblings: two full siblings, and 10 (or 12?) half-siblings from her fathers first marriageHusband: Robert Livingston Seaman (married April 5, 1895, when he was 70; millionaire industrialist)Children: none from her marriage, but adopted a child when she was 57 Education: early education at homeIndiana State Normal School, Indiana, Pennsylvania Known for: investigative reporting and sensationalist journalism, especially her commitment to an insane asylum and her around-the-world stunt Occupation: journalist, writer, reporter Dates: May 5, 1864-January 27, 1922; she claimed 1865 or 1867 as her birth year) Other Names: Elizabeth Jane Cochran (birth name), Elizabeth Cochrane (a spelling she adopted), Elizabeth Cochrane Seaman (married name), Elizabeth Seaman, Nelly Bly, Pink Cochran (childhood nickname) Books by Nellie Bly Ten Days in a Mad-House; or Nellie Blys Experience on Blackwells Island. Feigning Insanity in order to Reveal Asylum Horrors.... 1887.Six Months in Mexico. 1888.The Mystery in Central Park. 1889.Outline of Bible Theology! Exacted from a Letter by a Lady to the New York World of 2nd June, 1889. 1889.Nellie Blys Book: Around the World in Seventy-Two Days. 1890. Books About Nellie Bly: Jason Marks. The Story of Nellie Bly. 1951.Nina Brown Baker. Nellie Bly. 1956.Iris Noble. Nellie Bly: First Woman Reporter. 1956.Mignon Rittenhouse. The Amazing Nellie Bly. 1956.Emily Hahn. Around the World with Nellie Bly. 1959.Terry Dunnahoo. Nellie Bly: A Portrait. 1970.Charles Parlin Graves. Nellie Bly, Reporter for the World. 1971.Ann Donegan Johnson. The Value of Fairness: The Story of Nellie Bly. 1977.Tom Lisker. Nellie Bly: First Woman of the News. 1978.Kathy Lynn Emerson. Making Headlines: A Biography of Nellie Bly. 1981.Judy Carlson. Nothing Is Impossible, Said Nellie Bly. 1989.Elizabeth Ehrlich. Nellie Bly. 1989.Martha E. Kendall. Nellie Bly: Reporter for the World. 1992.Marcia Schneider. First Woman of the News. 1993.Brooke Kroeger. Nellie Bly: Daredevil, Reporter, Feminist. 1994.

Wednesday, November 20, 2019

Using technology in class Essay Example | Topics and Well Written Essays - 500 words

Using technology in class - Essay Example Akhtar says that multitasking interferes with the accuracy and quality of work being done by students. For that matter, college students using laptops, tablets, phones and social media in class perform poorly (Akhtar, 33). Technology does not enhance the learning experience of students; instead, it interferes with the accuracy and quality of work that students do during classroom setting (Akhtar, 33). For that matter, technology makes students become less attentive and focused in class. There should be no certain cases in which only some certain technological devices should be allowed by professors. For example, there should no cases when a cell phone should be allowed in class by professors. A cell phone has several negative effects on the performance of a student. The major effect of using a cell phone in a class is distraction (Kiuhara, 101). When the phone rings while students are in a class, attention is distracted. Thus, students may miss the point that a teacher is passing across. Also, when students go with phones to classes, their attention is distracted when they start scrolling through the phone, listening to music while a class is on, looking at pictures and videos in the phone. All these things that students do with their cell phones in a classroom setting negatively affects their performance since they are pushed into multitasking. Students who are poor at multitasking, but use phones frequently, lose a lot since they do not understand anything their professors teach. Also, using cell phones in class distracts other students who may be curious to know what the phone has, how it looks like and the specifications of the phone. For that matter, there should be no cases when some technological devices should be allowed in class, in fact, the devices should be banned in class. As much as people argue that the success of college students is correlated with the usage and dependence on

Tuesday, November 19, 2019

Darwin and Social Darwinism Essay Example | Topics and Well Written Essays - 1000 words

Darwin and Social Darwinism - Essay Example Owing to the general environment and direction of knowledge in the era, Lamarck’s theoretical perspective surfaced as a dominant conjectural framework on the matter during the timeframe. Lamarck’s comprehension of life forms suggested that the species’ desire to adapt perfectly and successfully into the environment prompted the utilization of their body parts in a certain manner which would eventually impact their overall structures, depending upon how the body parts were used (Schlinger and Poling 75). The crux of this comprehension postulates that these structural changes are such that they can be transported to the progeny of the species as per Lamarck’s argument. This theoretical model which is termed as the inheritance of acquired characteristics establishes the foundation for that a need for adapting within the wider context of the environment aided the species’ journey towards perfection where a point of perfection was eventually attained and the transformation of life forms ceased to exist at that stage (Schlinger and Poling 75). However, the weakness of Lamarck’s suggestions lies in a lack or even scarcity of evidence whic h should be presented so that his findings can be marked with the stamp of validity. Indeed even regular observations of individuals and their offspring can shed light on the fact that the physical traits of an athlete cannot be passed upon to his/her child in the form of agility and dexterity if the offspring does not expend similar effort to attain the desired outcomes. Schlinger and Poling understand that Darwin’s theoretical premise was developed as a consequence his journey on H.M.S Beagle which allowed him to explore the vastness of life forms and creations that had previously remained unexplored (76). Thus, a strong point of disagreement between Darwin’s theory of natural selection and Lamarck’s stance on