Dissertations / Theses on the topic 'Content Analysis'
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1
Wang, Weize. "A Content Analysis of Reliability in Advertising Content Analysis Studies." Digital Commons @ East Tennessee State University, 2011. https://dc.etsu.edu/etd/1375.
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Content analysis is a systematic research method for examining symbolical content in communication by recording or transcribing these messages into categories. Reliability is one of the most distinctive attributes of content analysis methodology comparing to other techniques in communication. A content analysis was conducted by analyzing the method sections of published journal articles in Communication Abstracts from January 2006 through January 2011 by searching "advertising" and "content analysis". Results suggested that television is still the most focused medium in advertising content analysis research. Most of the content analysis studies employed 2 coders for coding reliability assessment data and final data. Moreover, content analysis researchers had improved in reporting reliability and reliability coefficients. However, there was a low percentage of studies that reported specific reliability for each variable as well as the lowest acceptable level for the reliability coefficients.
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King, John D. "Search engine content analysis." Queensland University of Technology, 2008. http://eprints.qut.edu.au/26241/.
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Search engines have forever changed the way people access and discover knowledge, allowing information about almost any subject to be quickly and easily retrieved within seconds. As increasingly more material becomes available electronically the influence of search engines on our lives will continue to grow. This presents the problem of how to find what information is contained in each search engine, what bias a search engine may have, and how to select the best search engine for a particular information need. This research introduces a new method, search engine content analysis, in order to solve the above problem. Search engine content analysis is a new development of traditional information retrieval field called collection selection, which deals with general information repositories. Current research in collection selection relies on full access to the collection or estimations of the size of the collections. Also collection descriptions are often represented as term occurrence statistics. An automatic ontology learning method is developed for the search engine content analysis, which trains an ontology with world knowledge of hundreds of different subjects in a multilevel taxonomy. This ontology is then mined to find important classification rules, and these rules are used to perform an extensive analysis of the content of the largest general purpose Internet search engines in use today. Instead of representing collections as a set of terms, which commonly occurs in collection selection, they are represented as a set of subjects, leading to a more robust representation of information and a decrease of synonymy. The ontology based method was compared with ReDDE (Relevant Document Distribution Estimation method for resource selection) using the standard R-value metric, with encouraging results. ReDDE is the current state of the art collection selection method which relies on collection size estimation. The method was also used to analyse the content of the most popular search engines in use today, including Google and Yahoo. In addition several specialist search engines such as Pubmed and the U.S. Department of Agriculture were analysed. In conclusion, this research shows that the ontology based method mitigates the need for collection size estimation.
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Lidén, Jonas. "Distributed Video Content Analysis." Thesis, Umeå universitet, Institutionen för datavetenskap, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-99062.
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Video Content Analysis (VCA) is usually computationally intense and time consuming. In this thesis the efficiency of VCA is increased by implementing a distributed VCA architecture. Automatic speech recognition is used as a case study to evaluate how the efficiency of VCA can be increased by distributing the workload across several machines. The system is to be run on standard desktop computers and need to support a variety of operating systems. The developed distributed system is compared to a serial system in use today. The results show increased performance, at the cost of a small increase in error rate. Two types of load balancing algorithms, static load balancing and dynamic load balancing, is evaluated in order to increase system throughput and it is concluded that the dynamic algorithm outperforms the static algorithm when running on a heterogeneous set of machines and that the differences are negligible when running on a homogeneous set of machines.
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King, John Douglas. "Search engine content analysis." Thesis, Queensland University of Technology, 2008. https://eprints.qut.edu.au/26241/1/John_King_Thesis.pdf.
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Search engines have forever changed the way people access and discover knowledge, allowing information about almost any subject to be quickly and easily retrieved within seconds. As increasingly more material becomes available electronically the influence of search engines on our lives will continue to grow. This presents the problem of how to find what information is contained in each search engine, what bias a search engine may have, and how to select the best search engine for a particular information need. This research introduces a new method, search engine content analysis, in order to solve the above problem. Search engine content analysis is a new development of traditional information retrieval field called collection selection, which deals with general information repositories. Current research in collection selection relies on full access to the collection or estimations of the size of the collections. Also collection descriptions are often represented as term occurrence statistics. An automatic ontology learning method is developed for the search engine content analysis, which trains an ontology with world knowledge of hundreds of different subjects in a multilevel taxonomy. This ontology is then mined to find important classification rules, and these rules are used to perform an extensive analysis of the content of the largest general purpose Internet search engines in use today. Instead of representing collections as a set of terms, which commonly occurs in collection selection, they are represented as a set of subjects, leading to a more robust representation of information and a decrease of synonymy. The ontology based method was compared with ReDDE (Relevant Document Distribution Estimation method for resource selection) using the standard R-value metric, with encouraging results. ReDDE is the current state of the art collection selection method which relies on collection size estimation. The method was also used to analyse the content of the most popular search engines in use today, including Google and Yahoo. In addition several specialist search engines such as Pubmed and the U.S. Department of Agriculture were analysed. In conclusion, this research shows that the ontology based method mitigates the need for collection size estimation.
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Hosoya, Masao. "Computer aided newspaper content analysis." Thesis, Monterey, California. Naval Postgraduate School, 1991. http://hdl.handle.net/10945/28055.
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This thesis explores issues concerning computer aided content analysis for newspaper articles. Articles relevant to the Japan Air Self Defense Force's new fighter support jet (code named FSX) were collected from three newspapers in the U.S. and Japan. These data were downloaded and stored in a PC then analyzed using word processing software. At the same time, three articles were selected and distributed, along with relevant survey questions, to over 150 people. The survey was intended to examine the readers' responses to those articles. The results from the questionnaire and computer aided content analysis were analyzed, summarized and compared. These complementary studies were conducted to help determine whether computer aided content analysis could identify the information and impressions conveyed by these newspaper articles. The results of this complementary effort indicate that additional work is needed, particularly in software development, to make computer aided content analysis more useful. However, the results also showed the complexities of conveying and interpreting information. Content Analysis, U.S./Japan relationship, FSX
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CURZI, MIRCO. "Content based social network analysis." Doctoral thesis, Università Politecnica delle Marche, 2009. http://hdl.handle.net/11566/242305.
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Sun, Tao. "Product Context Analysis with Twitter Data." Thesis, Blekinge Tekniska Högskola, Institutionen för programvaruteknik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-13526.
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Context. For the product manager, the product context analysis, which aims to align their products to the market needs, is very important. By understanding the market needs, the product manager knows the product context information about the environment the products conceived and the business the products take place. The product context analysis using the product context information helps the product manager find the accurate position of his/her products and support the decision-making of the products. The product context information generally could be found in the user feedbacks. And the traditional techniques of acquiring the user feedbacks can be replaced by collecting the existed online user feedbacks with a cheaper cost. Therefore, researchers did studies on the online user feedbacks and the results showed those user feedbacks contain the product context information. Therefore, in this study, I tried to elicit the product context information from the user feedbacks posted on Twitter. Objectives. Objectives of this study are 1. I investigated what kinds of Apps can be used to collect more related Tweets, and 2. I investigated what kinds of product context information can be elicited from the collected Tweets. Methods. To achieve the first objective, I designed unified criteria for selecting Apps and collecting App-related Tweets, and then conduct the statistical analysis to find out what is/are the factor(s) affect (s) the Tweets collection. To achieve the second objective, I conducted the directed content analysis on the collected Tweets with an indicator for identifying the product context information, and then make a descriptive statistical analysis of the elicited product context information. Results. I found the top-ranked Apps or Apps in few themes like “Health and Fitness” and “Games” have more and fresher App-related Tweets. And from my collected Tweets, I can elicit at least 15 types of product context information, the types include “user experience”, “use case”, “partner”, “competitor”, “platforms” and so on. Conclusions. This is an exploratory study of eliciting product context information from the Tweets. It presented the method of collecting the App-related Tweets and eliciting product context information from the collected Tweets. It showed what kinds of App are suitable to do so and what types of product context information can be elicited from the Tweets. This study let us be aware of that the Tweets can be used for the product context analysis, and let us know the appropriate condition to use the Tweets for the product context analysis.
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Mårtensson, Christoffer. "Content analysis of underlying outsourcing motives." Thesis, Uppsala University, Department of Business Studies, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-126803.
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Outsourcing has over the years become more important when organizations increasingly focus to become best-in-class within their specific area. With this goal, outsourcing may be used to support core activities or dispose of activities judged as non-core for the organization. With these different ways to apply outsourcing, outsourcing may be used with various motives depending on the organizations goal. To better understand these motives, the aim of this paper is to acquire a deeper understanding of underlying motives organizations may have prior to make an outsourcing decision. This study is carried out through a content analysis of press releases published between 2005 and 2010. The results reveal three mayor motives that appear with a higher frequency in the study. These are; motives to gain competence/technology, motives to gain quality and motives to gain a higher flexibility.
Outsourcing har de senaste åren ökat i signifikans då organisationerna hela tiden flyttar fokus mot att nå en best-in-class position på marknaden. Med det målet kan outsourcing användas för att stödja kärnverksamhet eller för att avyttra aktiviteter som bedöms ej tillhöra kärnverksamheten. Dessa olika sätt att tillämpa outsourcing beror på organisationens bakomliggande motiv vad gällande mål med den outsourcade aktiviteten. Målet med denna studie är att öka förståelsen för de bakomliggande motiv som leder till ett outsourcing beslut. Studien är utformad som en kvantitativ innehållsanalys av publicerade pressmeddelanden mellan åren 2005 och 2010. Resultaten visar på tre motiv som uppträder med en högre frekvens i studien. Dessa motiv ämnar till att få; tillgång till kompetens/teknologi, erhålla högre kvalitet samt till att ge den egna organisationen en högre flexibilitet.
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Flaounas, Ilias. "Pattern analysis of news media content." Thesis, University of Bristol, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.547830.
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Lai, Po-yan, and 賴寶欣. "Relationship analysis for web content adaptation." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2014. http://hdl.handle.net/10722/197531.
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The use of mobile devices to access the World Wide Web is becoming more prevalent. When browsing webpages on small-screen devices, it is difficult to locate information of interest since the limited screen space can be fully packed with information. Also, browsing Web tables on small-screen devices is a non-trivial problem. To fit a large table in a small-screen device, the association between data values and their corresponding headers may be disrupted. It is difficult to locate information accurately if the data meanings are lost. For visually impaired users, the problem is even more challenging. Sequential presentation of the webpage by a screen reader is too time-consuming if the information of interest is placed at or near the end of the webpage. Therefore, there is a need to re-organize useful information in webpages in order to enhance information finding on small-screen devices. In this thesis, various adaptations are proposed by exploring and exploiting relationships between Web elements in the webpage.
In the current literature, some proposed heuristics are based on specific HTML elements, which cannot be generalized. Some other algorithms assume a correct DOM structure, which would fail if the webpage is not properly marked up. Many algorithms extract blocks without assigning them the proper titles. A gap needs to be filled, such that extracted blocks will be given a proper title through exploring the relationships between semantic elements. In this thesis, I propose to integrate relationship analysis and DOM-tree structure traversal for identifying logical sections together with their section headings. By extracting all the section headings, a table of content can be constructed to provide direct access to interested sections in an efficient way. Relationship analysis is a critical complement to the DOM structure for identifying the semantic content hierarchy when a webpage is not properly marked up. By exploring relationships between table cells, the structure of an unstructured Web table can be extracted. The semantic meanings of the data values are retained by preserving the data values and their corresponding headers. A novel way of accessing a webpage, which converts the page itself and its Web table into menu-based presentation, is then proposed. Converting the webpage into an Interactive Voice Response System introduces yet another mode of access which can enhance the accessibility of the webpage. In addition to improving mobile accessibility, the proposed adaptations can also benefit the visually impaired users.
Experiments show that the average effectiveness and efficiency of adaptation with direct access are improved by 18% and 15% respectively, which are clearly better than the case without adaptation. Also, by adapting the Web table into a series of menu pages, the effectiveness and efficiency are improved by 61% and 37% respectively. For the evaluations with visually impaired users, the adaptation with direct access can greatly improve efficiency by 85%. Some complicated Web tables in fact could not be properly interpreted by visually impaired users; the Web table adaptation makes them accessible. Information finding indeed becomes more efficient and effective when using the adapted versions.published_or_final_version
Computer Science
Doctoral
Doctor of Philosophy
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Chan, Stephen Chi Yee. "Video analysis for content-based applications." Thesis, University of Southampton, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.395362.
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Smith, Mary. "Content Analysis of Conflict Resolution Curricula." UNF Digital Commons, 2012. http://digitalcommons.unf.edu/etd/399.
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Violence in schools in various forms has become recognizable. Awareness of this situation has resulted with proliferation of curricula for conflict education. The purpose of this study was to analyze conflict resolution curricula designed for five to eight year olds. The study examined three issues formulated from the review of related literature: time and space, skill building, and developmentally appropriate practices. The findings included time and physical space requirements for conflict resolution curricula, the suggested skills needed to peacefully resolve conflicts, and an evaluation of the developmentally appropriate activities in the curricula for early childhood ages 5-8.
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Mayer, Greta H. "Content Analysis of Gatekeeper Training Models." University of Cincinnati / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1397234203.
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Fraz, Muhammad. "Video content analysis for intelligent forensics." Thesis, Loughborough University, 2014. https://dspace.lboro.ac.uk/2134/18065.
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The networks of surveillance cameras installed in public places and private territories continuously record video data with the aim of detecting and preventing unlawful activities. This enhances the importance of video content analysis applications, either for real time (i.e. analytic) or post-event (i.e. forensic) analysis. In this thesis, the primary focus is on four key aspects of video content analysis, namely; 1. Moving object detection and recognition, 2. Correction of colours in the video frames and recognition of colours of moving objects, 3. Make and model recognition of vehicles and identification of their type, 4. Detection and recognition of text information in outdoor scenes. To address the first issue, a framework is presented in the first part of the thesis that efficiently detects and recognizes moving objects in videos. The framework targets the problem of object detection in the presence of complex background. The object detection part of the framework relies on background modelling technique and a novel post processing step where the contours of the foreground regions (i.e. moving object) are refined by the classification of edge segments as belonging either to the background or to the foreground region. Further, a novel feature descriptor is devised for the classification of moving objects into humans, vehicles and background. The proposed feature descriptor captures the texture information present in the silhouette of foreground objects. To address the second issue, a framework for the correction and recognition of true colours of objects in videos is presented with novel noise reduction, colour enhancement and colour recognition stages. The colour recognition stage makes use of temporal information to reliably recognize the true colours of moving objects in multiple frames. The proposed framework is specifically designed to perform robustly on videos that have poor quality because of surrounding illumination, camera sensor imperfection and artefacts due to high compression. In the third part of the thesis, a framework for vehicle make and model recognition and type identification is presented. As a part of this work, a novel feature representation technique for distinctive representation of vehicle images has emerged. The feature representation technique uses dense feature description and mid-level feature encoding scheme to capture the texture in the frontal view of the vehicles. The proposed method is insensitive to minor in-plane rotation and skew within the image. The capability of the proposed framework can be enhanced to any number of vehicle classes without re-training. Another important contribution of this work is the publication of a comprehensive up to date dataset of vehicle images to support future research in this domain. The problem of text detection and recognition in images is addressed in the last part of the thesis. A novel technique is proposed that exploits the colour information in the image for the identification of text regions. Apart from detection, the colour information is also used to segment characters from the words. The recognition of identified characters is performed using shape features and supervised learning. Finally, a lexicon based alignment procedure is adopted to finalize the recognition of strings present in word images. Extensive experiments have been conducted on benchmark datasets to analyse the performance of proposed algorithms. The results show that the proposed moving object detection and recognition technique superseded well-know baseline techniques. The proposed framework for the correction and recognition of object colours in video frames achieved all the aforementioned goals. The performance analysis of the vehicle make and model recognition framework on multiple datasets has shown the strength and reliability of the technique when used within various scenarios. Finally, the experimental results for the text detection and recognition framework on benchmark datasets have revealed the potential of the proposed scheme for accurate detection and recognition of text in the wild.
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Rosani, Andrea. "Multimedia Content Analysis for Event Detection." Doctoral thesis, University of Trento, 2015. http://eprints-phd.biblio.unitn.it/1434/1/Andrea-Rosani_PhD-Thesis.pdf.
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The wide diffusion of multimedia contents of different type and format led to the need of effective methods to efficiently handle such huge amount of information, opening interesting research challenges in the media community.
In particular, the definition of suitable content understanding methodologies is attracting the effort of a large number of researchers worldwide, who proposed various tools for automatic content organization, retrieval, search, annotation and summarization. In this thesis, we will focus on an important concept, that is the inherent link between ''media" and the ''events" that such media are depicting. We will present two different methodologies related to such problem, and in particular to the automatic discovery of event-semantics from media contents. The two methodologies address this general problem at two different levels of abstraction. In the first approach we will be concerned with the detection of activities and behaviors of people from a video sequence (i.e., what a person is doing and how), while in the second we will face the more general problem of understanding a class of events from a set visual media (i.e., the situation and context). Both problems will be addressed trying to avoid making strong a-priori assumptions, i.e., considering the largely unstructured and variable nature of events.As to the first methodology, we will discuss about events related to the behavior of a person living in a home environment. The automatic understanding of human activity is still an open problems in the scientific community, although several solutions have been proposed so far, and may provide important breakthroughs in many application domains such as context-aware computing, area monitoring and surveillance, assistive technologies for the elderly or disabled, and more. An innovative approach is presented in this thesis, providing (i) a compact representation of human activities, and (ii) an effective tool to reliably measure the similarity between activity instances. In particular, the activity pattern is modeled with a signature obtained through a symbolic abstraction of its spatio-temporal trace, allowing the application of high-level reasoning through context-free grammars for activity classification. As far as the second methodology is concerned, we will address the problem of identifying an event from single image. If event discovery from media is already a complex problem, detection from a single still picture is still considered out-of-reach for current methodologies, as demonstrated by recent results of international benchmarks in the field. In this work we will focus on a solution that may open new perspectives in this area, by providing better knowledge on the link between visual perception and event semantics. In fact, what we propose is a framework that identifies image details that allow human beings identifying an event from single image that depicts it. These details are called ''event saliency", and are detected by exploiting the power of human computation through a gamification procedure. The resulting event saliency is a map of event-related image areas containing sufficient evidence of the underlying event, which could be used to learn the visual essence of the event itself, to enable improved automatic discovery techniques.
Both methodologies will be demonstrated through extensive tests using publicly available datasets, as well as additional data created ad-hoc for the specific problems under analysis.
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Richards, Jonathan David. "Implementing strategic decisions : an analysis of decision content, organisational context and managerial strategy." Thesis, University of Manchester, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.631235.
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The management of strategic change has come to be viewed as a complex and difficult area of organisational analysis, both from a theoretical academic and practical management point of view. However, much of the literature on the subject is typically characterised by high levels of normativism and a general lack of analytical depth or sophistication. Empirical studies attempting to capture the complex, dynamic and contextually-embedded character of strategic decision implementation are rare. Those that exist are typically long on description and short on analytical insight. Comparative studies in this field, guided by coherent conceptual frameworks, remain largely unexplored. In recognising these problems, the research presented in this thesis sets out to examine and compare strategies and processes of decision implementation across a diverse range of organisational contexts. The theoretical framework adopted for the study is predicated on the idea that the nature and form of processes of implementation is critically influenced by the interrelationship between three central determining factors - the managerial strategies employed to effect change, the nature or content of the decision issue being implemented, and the wider institutional setting within which the process occurs. The essence of this interrelationship is captured in the concept of implementation system congruence, which identifies the extent to which strategies of implementation adequately address the requirement for staff and employees not only to understand the decision issue, but also to demonstrate sufficient levels of commitment to ensure it is translated into action. The programme of research is conducted using a qualitative case study method within eight British organisations, examining the process of implementation relevant to one decision in each case. All eight decisions are strategic in nature in that they are perceived to be important or consequential by the organisations concerned. Two of the organisations are in the motor component manufacturing industry; the others are a financial institution, a charity, a power station, a printing company, a telemarketing agency and a grammar school. Each detailed study is analysed in a comparative manner alongside the other seven in an effort to derive valid analytical generalisations on the process of strategic decision implementation. The concept of implementation system congruence is found to be extremely useful in understanding relationships between the strategies, content and context of change, and their association with ultimate process outcomes. The research also underscores the nonlinear and dynamic nature of change and the critical need for change managers to assimilate and respond to unforeseen contingencies as processes of implementation unfold over time. In this respect, the notion that the implementation of consequential business decisions seems to require strong commitment, patience, perseverance and repetition fits well with the empirical fmdings of this study. Finally, the broader context in and around the organisation is also revealed to have an important influence in creating a social backdrop against which implementation activities and decision issues are shaped, interpreted and evaluated by others. Levels of trust between sponsors and recipients are singled out as an especially prominent element of an organisation's social context influencing the former's capacity to effect change. 22 No portion of the work referred to in the thesis has been submitted in support of an application for another degree or qualification of this or any other university or other institute of learning. 1. Copyright in text of this thesis rests with the Author. Copies (by any process) either in full, or of extracts, may be made only in accordance with instructions given by the Author and lodged in the John Rylands University Library of Manchester. Details may be obtained from the Librarian. This page must form part of any such copies made. Further copies (by any process) of copies made in accordance with such instructions may not be made without the permission (in writing) of the Author. 2. The ownership of any intellectual property rights which may be described in this thesis is vested in the University of Manchester, subject to any prior agreement to the contrary, and may not be made available for use by third parties without the written permission of the University, which will prescribe the terms and conditions of any such agreement. Further information on the conditions under which disclosures and exploitation may take place is available from the Head of the Faculty of Business Administration, Manchester Business School.
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Bakharia, Aneesha. "Interactive content analysis : evaluating interactive variants of non-negative Matrix Factorisation and Latent Dirichlet Allocation as qualitative content analysis aids." Thesis, Queensland University of Technology, 2014. https://eprints.qut.edu.au/76535/1/Aneesha_Bakharia_Thesis.pdf.
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This thesis addressed issues that have prevented qualitative researchers from using thematic discovery algorithms. The central hypothesis evaluated whether allowing qualitative researchers to interact with thematic discovery algorithms and incorporate domain knowledge improved their ability to address research questions and trust the derived themes. Non-negative Matrix Factorisation and Latent Dirichlet Allocation find latent themes within document collections but these algorithms are rarely used, because qualitative researchers do not trust and cannot interact with the themes that are automatically generated. The research determined the types of interactivity that qualitative researchers require and then evaluated interactive algorithms that matched these requirements. Theoretical contributions included the articulation of design guidelines for interactive thematic discovery algorithms, the development of an Evaluation Model and a Conceptual Framework for Interactive Content Analysis.
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Dixit, Yamini. "Indian award winning advertisements a content analysis /." [Gainesville, Fla.] : University of Florida, 2005. http://purl.fcla.edu/fcla/etd/UFE0010281.
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Van, de Ven Jennifer T. C. "Content analysis of Canadian television crime news." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape15/PQDD_0011/MQ36854.pdf.
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Boos, April Lynn. "The post-abortion experience| A content analysis." Thesis, California State University, Long Beach, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=1588586.
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The purpose of this thesis was to explore the written accounts of women post-abortion, the experiences they faced associated with abortion, and how they found resolution through faith. The study included a content analysis of 15 women's published essays about the factors involved in making the decision to terminate their pregnancy, the effects of their abortion from a bio/psycho/social/spiritual model, and how resolution was achieved. A literature review was conducted to understand abortion from a systems perspective and to examine the history of the abortion movement, policies that have developed surrounding the topic of abortion, social stigma, and the possible negative effects and coping strategies for post-abortive women. This exploration will support social work professionals by providing an overview of possible abortion experiences and in turn, help them to provide improved care to clients, such as providing educational services to women with unplanned pregnancies and appropriate support for post-abortive women.
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Barksdale, Corey D. "A content analysis of defense budget rhetoric." Thesis, Monterey, California. Naval Postgraduate School, 2011. http://hdl.handle.net/10945/5643.
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Approved for public release; distribution is unlimited.In accordance with federal law, the President is required to present to Congress a budget of the United States government by February of each year. This action marks the beginning of the legislative phase of the federal budget process. This thesis provides a systematic analysis of communication between the executive branch and Congress regarding the defense budget. A quantitative content analysis of the President's budget press releases and published transcripts from the Senate Armed Services Committee (SASC) authorization for appropriations hearings on military posture from fiscal years 2001 to 2010, will demonstrate that the framework of the President's budget press releases can guide issue attention in Congressional hearings, and that Congress uses congressional hearings to frame their own issues. The SASC hearings provide the first opportunity for Congress to collectively engage in constructive dialogue with the SECDEF and the CJCS following the release of the President's budget.
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Willits, Carol Ann. "Collaboration and communication strategies : a content analysis." Virtual Press, 1996. http://liblink.bsu.edu/uhtbin/catkey/1020181.
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The problem of this study was to identify collaboration strategies, communication strategies, and barriers to collaboration through examining the strategies utilized by the American Red Cross Statewide HIV/AIDS Networks (SWANs). A cross-sectional, content analysis of documents from 41 American Red Cross SWANs was conducted. The collaborative strategies were catalogued utilizing five levels of collaborative involvement. Communication strategies used by the SWANs and barriers to collaboration were also analyzed. Frequencies and percentages of utilization by the S WANs were calculated. A chi-square test was used to compare the lower and higher levels of collaborative involvement and was found to be statistically significant (p < .05). The identified strategies and barriers can provide a database from which other groups involved in collaboration can select. Descriptive strategy examples are included.Department of Physiology and Health Science
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Garcia, Carmen Maria. "A content analysis of teen magazines' covers." Honors in the Major Thesis, University of Central Florida, 1996. http://digital.library.ucf.edu/cdm/ref/collection/ETH/id/154.
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This item is only available in print in the UCF Libraries. If this is your Honors Thesis, you can help us make it available online for use by researchers around the world by following the instructions on the distribution consent form at http://library.ucf.edu/Systems/DigitalInitiatives/DigitalCollections/InternetDistributionConsentAgreementForm.pdf You may also contact the project coordinator, Kerri Bottorff, at kerri.bottorff@ucf.edu for more information.Bachelors
Arts and Sciences
Sociology
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O'Keefe, Simon Edward Marius. "Neural-based content analysis of document images." Thesis, University of York, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.337632.
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Katamzi, Zama. "Statistical analysis of ionospheric total electron content." Thesis, University of Bath, 2011. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.545315.
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Certain modern radio systems that rely on trans-ionospheric propagation require knowledge of changes in total electron content (TEC). Understanding rapidly changing, small amplitude perturbations in the ionosphere is important in order to quantify the accuracy of those systems. The main aim of this thesis is to collect statistical information on the perturbations and wave structures present in the ionosphere, for use in radio astronomy calibrations and future communication systems planning. To gain this information, TEC calculated from instruments measuring Faraday rotation on signals from geostationary satellites were used. These measurements were collected in Italy over the period of 19751982 and 1989-1991 at one minute intervals. An important class of TEC fluctuations is travelling ionospheric disturbances (TIDs). Here, temporal variations of mid-latitude slant TEC measurements during two solar cycle phases, i.e solar minimum in 1975-1976 and solar maximum in 1989-1990, were studied. Direct inspection of Savitzky-Golay filtered TEC data was used to extract the amplitudes of TIDs. Fourier analysis was used to extract the most dominant periods of the TIDs. Discrete Meyer wavelet together with the ANOVA method to determine TID variation changes in different parts of the day. Another class of TEC fluctuations presented in this thesis is diurnal double maxima (DDM) structures. These structures were observed during mid-day in our TEC measurements between 1975 and 1991. Verification of the DDM observations was sought by using foF2 and hmF2 measurements from an ionosonde in RomeA combination of ionospheric 3-D tomographic imaging and ray propagation theory has been used for the first time to demonstrate a method that can show how the new European radio array LOFAR will be affected by the ionosphere. This was achieved from a case study of a geomagnetic quiet day ionosphere by simulating how ray propagations, at different elevations and frequencies, will behave as they traverse the ionosphere. The important result from this study was that continuous monitoring of the telescope will be important during operation of the array if the errors introduced by the ionosphere are to be accurately corrected for. The study of TEC changes over different short time windows demonstrated that the ionosphere vastly varies over short time scales, thus making the monitory non trivial. Statistical analysis of the TEC changes will also be useful to the new European GPS augmentation system EGNOS as an indicator on whether the ionospheric measurements from the system are realistic.
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Martin, Janice Earlene. "A Content Analysis of Student Conduct Codes." Thesis, Virginia Tech, 2004. http://hdl.handle.net/10919/9879.
Full textAbstract:
Scholars in the field of student judicial affairs have recommended that institutions remove all legal terminology and references in student conduct codes and create codes based on student development theory and practice (Dannells, 1997; Gehring, 2001; Stoner & Cerminara 1990; Stoner, 2000). The purpose of this study was to analyze student conduct codes to determine the extent to which college and university administrators have adopted Stoner and Cerminara, Gehring, and Pavela's suggestions.
This study is a content analysis of student conduct codes. The data were collected by using a stratified randomly selected group of Carnegie classified institutions and examining the student conduct code for each institution from the respective institution's website. Descriptive statements were used to code and analyze the data. The study results show that only 20% of the institutions in the study had taken the advice of the judicial scholars and removed all legalistic language. Therefore, the majority of the institutions in this study, regardless of institutional type or size, need to reexamine and modify their student conduct codes.Master of Arts
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Daniel, Kelsey R. "CONTENT ANALYSIS OF PICTURE BOOKS ABOUT BULLYING." Bowling Green State University / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1394114907.
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Hitlin, Paul M. "A content analysis of television political pundits /." CONNECT TO ELECTRONIC THESIS, 2005. http://dspace.wrlc.org/bitstream/1961/602/1/etd%5Fpmh27.pdf.
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Jacques, Richard. "Statistical analysis of high content screening data." Thesis, University of Sheffield, 2009. http://etheses.whiterose.ac.uk/2220/.
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High throughput screening experiments are typically used within the pharmaceutical industry for the identification and evaluation of candidate drugs. Using a high throughput screen with automated imaging platform allows a large number of compounds to be tested in a biological assay in order to identify any activity inhibiting or activating a biological process. High throughput fluorescent images contain information that can be used to define fully the effects of a compound on cells. It is for this reason that florescent imaging assays have been termed high content screening (Clemons, 2004). The studies analysed in this thesis involve the use of an automated robotic system to administer compounds to cellular assays and take high content images. These images are then analysed and quantified using imaging algorithms to produce a set of variables. Each high content screen may extend to a million or more individual assays. Supervised classification methods have important applications in high content screening experiments where they are used to predict which compounds have the potential to be developed into new drugs. The use of supervised classification for high content screening data is investigated and a new classification method is proposed for batches of compounds where the rule is updated sequentially using information from the classification of previous batches. This methodology accounts for the possibility that the training data are not a representative sample of the test data and that the underlying group distributions may change as new compounds are analysed. Unsupervised classification methods are used in the analysis of high content screening experiments to evaluate potential new drugs. The study in this thesis considers clustering compounds based on their toxicological effect on the liver. Drug induced liver injury is the most common cause for non approval and withdrawal by the Food and Drug Administration (Ainscow, 2007a) and therefore this is an important stage in drug development.
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Tomiczek, B. P. "Computational analysis of gene content in Xenacoelomorpha." Thesis, University College London (University of London), 2017. http://discovery.ucl.ac.uk/1558313/.
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Xenacoelomorpha are simple, marine worms with net-like nervous systems, no circulatory or respiratory systems and a blind gut. The phylogenetic position of Xenacoelomorpha is the subject of ongoing debate in the literature. The two possible locations for the Xenacoelomorpha within the animal tree are i) as the sister clade to all other bilaterians and ii) as deuterostomes, closely related to the Ambulacraria (echinoderms and hemichordates). The understanding of the phylogenetic position of Xenacoelomorpha has major implications in understanding the appearance of the Bilateria last common ancestor and the direction of the evolutionary process within the animal kingdom. If Xenacoelomorpha are in fact basal bilaterians, they can resemble many similarities to simple acoel-like bilaterian ancestor. However, if Xenacoelomorpha are sister group to Ambulacraria, they likely secondary simplified from a complex, segmented, coelomate Bilateria ancestor. I analysed the quality of 6 new xenacoelomorph genomic and 7 transcriptomic data sets (Symsagittifera roscoffensis, Pseudophanostoma variabilis, Paratomella rubra and Praesagittifera naikaiensis, the nemertodermatids Meara stichopi and Nemertoderma westbladi and the xenoturbellid Xenoturbella bocki), and have constructed comprehensive datasets of xenacoelomorph proteins (proteomes (entire set of proteins expressed by a specific organism (UniProt Consortium, 2010))). I used these, together with proteomes from 60 other species, to construct a database of gene families, which have descended from the same common ancestor within the broad range of 67 species within the animal kingdom. Based on inferred orthology/paralogy relations within 2 these families, I reconstructed the duplications, gains and losses of genes across the Metazoa. The analysis of ancestral gene family content is suggestive for the phylogenetic position of the Xenacoelomorpha, as ancestral Xenacoelomorpha gene content is more similar to inferred Xenambulacraria gene content then to ancestral Bilateria gene content. Moreover, Xenacoelomorpha show more simultaneous gene losses with Ambulacraria then with other major Bilateria clades. To reconstruct a molecular phylogenetic tree of Xenacoelomorpha, I first established a bioinformatics pipeline for large-scale molecular phylogeny reconstruction, by comparing 3 commonly used automated methods for orthology and paralogy prediction (OMA, CEGMA, OrthoMCL). I tested the application of these methods in constructing phylogenetic matrices from high throughput sequencing data. I used the best performing pipeline to infer the species tree involving 8 Xenacoelomorpha species. Our phylogenetic analysis tentatively supports the placement of Xenacoelomorpha as a sister group of Ambulacraria.
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Small, Tara. "A Content Analysis of “#MaleRape” on Twitter." Thesis, Université d'Ottawa / University of Ottawa, 2019. http://hdl.handle.net/10393/39401.
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Rape has historically been constructed as a women’s issue and, as such, research has focused on female survivors of sexual assault. Current research on the topic indicates that the construction of female rape is structured by stereotypical gender roles and patriarchal/misogynistic structures. However, there is very little research on male rape. This exploratory thesis seeks to fill this gap by exploring how the meaning of male rape is constructed on Twitter posts that contain the hashtag “MaleRape”. Two thousand ninety-two tweets were collected. The final sample was comprised of 840 tweets and qualitative content analysis was the method used to code and
organize the data. Preliminary analysis suggested that the constructions varied significantly by region; accordingly, the data were sorted into the following four regions: North America; Europe; Africa; and Asia. The analysis, rooted in critical feminism, explores how male rape is constructed in each region. The findings indicate that there is some consistency across regions, especially with respect to the ways in which patriarchal assumptions led to the denial of male rape and the silencing of survivors. However, there were interesting differences in the various regions. This thesis addresses the influence of heteronormative constructions and calls for more
consideration of cultural differences when studying sexual violence.
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Altun, Melih. "Road Scene Content Analysis for Driver Assistance and Autonomous Driving." Ohio University / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1418665048.
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Swiderski-Ritchie, Martha. "The contents of criticism : Ingardenian theory in the context of literary analysis /." [S.l.] : [s.n.], 1986. http://www.ub.unibe.ch/content/bibliotheken_sammlungen/sondersammlungen/dissen_bestellformular/index_ger.html.
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Karphammar, Anette, and Maria Behrns. "Advertising in high- and low context cultures : A comparative content analysis between Sweden and Brazil." Thesis, Högskolan i Halmstad, Akademin för ekonomi, teknik och naturvetenskap, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-37075.
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In today's increasingly globalised world, research within cultural differences is called for to be able to categorize nations and aid cross border communications around the world. This thesis is a quantitative study of differences in advertising communication between what is considered high and low context cultures, through a deeper look into Sweden and Brazil. Trade agreements between these two nations are well-established and highly profitable, but differences in cultural bases are vast, potentially leading to misunderstandings and wrongful communications conduct if not taken in consideration. Studies within cultural differences classify Sweden as a low context individualistic nation and Brazil as a high context collectivistic nation, but these classifications were made many years ago and research within cultural imperialism, globalisation and transnational consumerism state that the world is changing and that further research within the specific communities is needed today. With this problem in mind we have in this study chosen to ask the question of what the differences in advertising context are between Sweden and Brazil and if the theories actually match reality as it is today? The purpose of this question is to further the frame of reference within the theories and to aid in cross border communications. This in order to understand the connection and if needed re-categorize the nations within the spectrum. The study was made through a comparative content analysis of television advertising in both countries, determining differences in context attribute frequency. The results and conclusions of the study show that theories of high and low context classifications do not match reality between these two nations, and that globalism has in fact had an effect on advertising communications.
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Kohlbacher, Florian. "The Use of Qualitative Content Analysis in Case Study Research." Institut für Qualitative Forschung, 2006. http://epub.wu.ac.at/5315/1/75%2D195%2D1%2DPB.pdf.
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This paper aims at exploring and discussing the possibilities of applying qualitative content
analysis as a (text) interpretation method in case study research. First, case study research as a
research strategy within qualitative social research is briefly presented. Then, a basic introduction
to (qualitative) content analysis as an interpretation method for qualitative interviews and other data
material is given. Finally the use of qualitative content analysis for developing case studies is examined
and evaluated. The author argues in favor of both case study research as a research strategy
and qualitative content analysis as a method of examination of data material and seeks to encourage
the integration of qualitative content analysis into the data analysis in case study research.
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Zhang, Jing. "U.S. newspaper coverage of immigration in 2004: a content analysis." Texas A&M University, 2003. http://hdl.handle.net/1969.1/2464.
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This study examined the U.S. newspaper coverage of immigration in 2004.
Previous studies have focused on the ideological implication of news coverage,
showing that the news frames conveyed elites?? racism toward immigrants. Little
research has been done to offer an overview of the general U.S. news content on
immigration in the 21st century, such as a study on how topics, themes, and sources
shape news frames. Guided by the principle of framing, this study explored the topics,
themes, sources, frames, and differences of three major U.S. newspapers??The New
York Times, the Los Angeles Times, and the Houston Chronicle??on immigration. One
hundred and twenty-nine articles were examined for this study. The study found that a
frame of ??confrontation and frustration?? emerged from the most dominant topics,
themes, and sources present in the newspapers. The study also showed that the
newspapers were less concerned about differentiating between ??who was legal and
who was illegal.?? Half of the time, the newspapers studied represented immigrants,
regardless of legal status, as one group. The newspapers were found to be more
concerned about reporting the immigrants?? shared experience of living in a non-native
country, including shared problems such as in home ownership and in education.
Differences among newspapers showed The New York Times?? ??unofficial newspaperof record?? reputation, the Houston Chronicle??s local emphasis, and the Los Angeles
Times?? reflection of minority power in California.
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Erdal, Feride. "Web Market Analysis: Static, Dynamic And Content Evaluation." Master's thesis, METU, 2012. http://etd.lib.metu.edu.tr/upload/12614694/index.pdf.
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Importance of web services increases as the technology improves and the need for the challenging e-commerce strategies increases. This thesis focuses on web market analysis of web sites by evaluating from the perspectives of static, dynamic and content. Firstly, web site evaluation methods and web analytic tools are introduced. Then evaluation methodology is described from three perspectives. Finally, results obtained from the evaluation of 113 web sites are presented as well as their correlations.
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Anderson, Amy. "African American in Televised Advertisements: A Content Analysis." TopSCHOLAR®, 1997. http://digitalcommons.wku.edu/theses/766.
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The purpose of this study was to analyze African American portrayals in televised advertisements over a sixday period in November 1995. A total of 799 advertisements were analyzed, including 205 that depicted at least one African American actor. Content analysis was used to describe the following, with respect to African American actors: age, gender, day and time of portrayal, occupational role, and products and services advertised. Comparisons were also made between frequencies of actors of different races and amount of time these actors appeared. When compared with previous studies of African American television portrayals, many improvements were observed as well as some setbacks, with respect to images of African American actors.
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He, Tian Ying. "Outline-based image content analysis using partial signature." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp03/MQ40415.pdf.
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Aitken, Karen S. "Genetic analysis of grain protein content in wheat." Thesis, University of East Anglia, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.357308.
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Paxton, Sue. "A Content Analysis of Violence in Music Videos." Thesis, North Texas State University, 1985. https://digital.library.unt.edu/ark:/67531/metadc501107/.
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This content analysis study of music videos answered questions concerning the amount and severity of violence content during different time periods of the day. A system of classifying violence content as nonviolent, mostly light, neither light nor serious, mostly serious, and extremely serious was used to evaluate music videos from MTV. One hour from each day was randomly selected for evaluation for a period of thirty days. During this time, there were 313 occurrences of music videos which were aired and subsequently evaluated. The results indicated the majority of these music videos contained mostly light or no violence content. This study also revealed that the most likely time of day a viewer would see videos with violence would be from midnight until eight in the morning.
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Carlier, Axel. "Combining content analysis with usage analysis to better understand visual contents." Phd thesis, 2014. http://oatao.univ-toulouse.fr/12251/1/carlier.pdf.
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This thesis focuses on the problem of understanding visual contents, which can be images, videos or 3D contents. Understanding means that we aim at inferring semantic information about the visual content. The goal of our work is to study methods that combine two types of approaches: 1) automatic content analysis and 2) an analysis of how humans interact with the content (in other words, usage analysis). We start by reviewing the state of the art from both Computer Vision and Multimedia communities. Twenty years ago, the main approach was aiming at a fully automatic understanding of images. This approach today gives way to different forms of human intervention, whether it is through the constitution of annotated datasets, or by solving problems interactively (e.g. detection or segmentation), or by the implicit collection of information gathered from content usages. These different types of human intervention are at the heart of modern research questions: how to motivate human contributors? How to design interactive scenarii that will generate interactions that contribute to content understanding? How to check or ensure the quality of human contributions? How to aggregate human contributions? How to fuse inputs obtained from usage analysis with traditional outputs from content analysis? Our literature review addresses these questions and allows us to position the contributions of this thesis. In our first set of contributions we revisit the detection of important (or salient) regions through implicit feedback from users that either consume or produce visual contents. In 2D, we develop several interfaces of interactive video (e.g. zoomable video) in order to coordinate content analysis and usage analysis. We also generalize these results to 3D by introducing a new detector of salient regions that builds upon simultaneous video recordings of the same public artistic performance (dance show, chant, etc.) by multiple users. The second contribution of our work aims at a semantic understanding of fixed images. With this goal in mind, we use data gathered through a game, Ask’nSeek, that we created. Elementary interactions (such as clicks) together with textual input data from players are, as before, mixed with automatic analysis of images. In particular, we show the usefulness of interactions that help revealing spatial relations between different objects in a scene. After studying the problem of detecting objects on a scene, we also adress the more ambitious problem of segmentation.
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Chen, Yi-ting, and 陳奕廷. "Content Analysis on Women." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/38324494288712197515.
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Shepherd, Jaclyn Sandra. "Music content in state early learning guidelines: a content analysis." Thesis, 2015. https://hdl.handle.net/2144/15203.
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As a result of the Good Start, Grow Smart Initiative (GSGS) in 2002, states began developing Early Learning Guidelines (ELGs), which are utilized by state funded programs for children ages 3 to 5. Although GSGS recommended that states include literacy, language, and pre-reading skills in ELGs, many states developed more comprehensive documents that included broader ranges of skills and activities consistent with each state's conceptualization of what constitutes quality learning environments for this age group. Consequently, music content, if included in ELGs, may vary from state to state.
Three national standards documents may have informed music standards included in ELGs, such as The National Music Standards for Prekindergarten, Head Start Child Development and Early Learning Framework, and the National Association for the Education of Young Children (NAEYC) All-Criteria Document. I conducted a content analysis of state ELGs: 1) to determine what musical behaviors and activities states have codified as official knowledge within quality learning environments for young children, and 2) to ascertain the extent to which the musical content reflects music standards included in national prekindergarten standards documents. Findings indicated that the broadly-framed Head Start and NAEYC music indicators were well-represented in state ELGs. The majority of ELGs have addressed two of the Content Standards of The National Music Standards for Prekindergarten, "Singing and Playing Instruments" (88%) and "Responding to Music" (74%). The Content Standards "Creating Music" and "Understanding Music" were addressed in far fewer ELGs (27% and 33%, respectively). The more prescriptive Achievement Standards were less frequently included in ELGs. Additionally, 14.33% of all music-related indictors included in state ELGs did not reflect the music content of any of the national standards and guidelines; rather, the indicators represented additional music content (for example, audience skills), music activities that promote social and emotional development, and facilitating learning in other curriculum areas. When ELGs were examined through a conceptual framework of policy and Developmentally Appropriate Practice, a co-mingling of standards and guidelines constructs was found, suggesting that state ELG committees attempted to balance the opposing segments, resulting in re-contextualization of the content selected for inclusion in the ELGs.
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Lin, Mei-ling, and 林美玲. "Content Analysis of Logistics Periodicals." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/77904109037944887678.
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碩士國立高雄第一科技大學
運輸倉儲營運所
93
The studies of Logistics have begun since 1970’s. With the explosion of information technology, the economic activities have faced unprecedented challenge. The Logistics and Supply Chain concept has been accepted as a mainstream strategy of Economic Modeling and Business Administration. Because of the fast growing of the technology, people in the global community has completely changed the ways that they are dealing with their daily businesses which in term has led the communication and transportation industries into a twenty first century revolutionary, how to effectively use the endless information resources and easily obtained logistics knowledge to understand logistics pattern and capture the future direction has become the key component to the success for the industries. Researches of logistics subject have gradually more attention among the industrial leaders and scholars. The world is bombarded with new knowledge every second. Publications and periodicals are published more frequently. They provide the readers with the most up to date information which includes the latest development of the technology, and also helps quickly calculate the economic direction and condition and it has become the main source for all humanity in discovering and learning new knowledge in this age. How much truly useful and valuable information is there worthy digging? If we use text mining application programming analyze the content buried in those periodicals. This effort can prospectively help management strategy for enterprises and provide guidance for scholars and students who will be engaged in this area of research. This study used Text Mining software analyze the content from five prominent periodicals published from 2000 to 2004. We discover the most popular research subjects and research technique used, and data analysis method chosen by the researchers. Understand the present status and future approach and provide a scientific model for future researchers when they choose a topic for their study. Understand the authors of the published works according to their study background and professional achievement. Find out the among the authors and the devotion of their time and energy in the studies. Compare the percentage of the researches that is contributed by the academic institutions with that contributed by the industries.
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Wang, Xing-Cheng, and 王興誠. "Content Analysis of Automobile Websites." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/95654552503085654924.
Full textAbstract:
碩士南華大學
文化創意事業管理學系文創行銷碩士班
103
Except for houses, automobile is the highest unit price commodity. Therefore, consumers always do the information collecting before purchase, and the automobile magazine is one of the ways. Yet as the Internet throve these years, the consumers of automobile also gradually started to change the resource of information collecting, transferring from magazines toward the network platform about automobile－automobile websites－to do the involving behavior. The object of this research is the present domestic automobile website, included nine after screening. The researcher found 1,639 reports directing the automobile on the market from May, 2014 to November, 2014 for half a year. The research tool is: the researcher refers to the relative literature, voluntarily develops the automobile website content-analyzed category table, and achieves the research goal by the content-analyzed method. It is discovered after the reorganization and statistical analysis by this research that the domestic automobile magazines can be divided into two main kinds－the websites belonging to the automobile magazine business as well as the websites belonging to the exception of automobile magazine business. As far as the proportion of content category is concerned, eight of the automobile websites all put emphasis on power, brands, and the intrinsic. In these three categories, power takes large proportion in the websites belonging to the automobile magazine, yet brands take large proportion in the exception. In the proportion of information from various categories, BuycartvGO is the most for occupying 2.44% in the agent category; BuycartvGO is the most for occupying 42.17% in the brands category; Twmotor is the most for occupying47.39% in the power category; CarNews is the most for occupying 16.21% in the intrinsic category; AUTO online is the most for occupying 12.75% in the outer category; AUTO online is the most for occupying 4.32% in the media category; ISCAR is the most for occupying 6.31% in the cost category; AutoNet is the most for occupying 1.47% in the repairing category; Twmotor is the most for occupying 9.22% in the vehicle types category.
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Hui-Chuan, Tu, and 杜慧娟. "A Content Analysis of Gender Role Stereotype on Children’s English MaterialsA Content Analysis of Gender Role Stereotype On Children’s English MaterialsA Content Analysis of Gender Role Stereotype On Children’s English MaterialsA Content Analysis of." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/72714969102968915369.
Full textAbstract:
碩士國立台北護理學院
嬰幼兒保育研究所
98
The purpose of this study is to analyze the gender role stereotype in the Children's English materials. Gender relation is promoted in the present society, so the researcher with the Children's English materials, "Let's Go", "Joy English", "YoYo & NaNa", "Max & Mousy", "You & Me" 5 series, a total of 23 textbooks, as the object of this research and analysis. By content analysis and based on Chau Yuh Fang (1999) "The examination standard of sex bias in the textbooks", the following results: "Very important" to the pictures of the books as follows: 1, appearance and personality traits: the male characters with the short hair, cold color clothes, pants, wearing glasses, positive facial expressions, masculine personality traits. The female characters with short hair, warm color clothes, skirts, wearing glasses, feminine personality traits. 2, job titles and professional levels: the male characters’ occupational categories and the professional level are higher than the female characters’. The text part is: these five series of English materials do not appear within the text of the image of gender appearance - hairstyle, clothing, colors, clothing styles, clothing accessories, facial expressions, personality traits such as a description of terms appear, so are unable to do this analysis. "Important" to the pictures of the books as follows: 1, male and female characters types of activities occur close to the main static. 2, male and female characters and gender relations effort or contribution is not described, so can not be analyzed.3, gender appears at the same time, the central figure of the number and percentage are the same. The text part is: 1, the text descriptions of the activities of gender figures are the same as the type and frequency of many. 2, the descriptions of gender’s activities’ nature are static characters. 3, no describe the contribution for the characters . 4, no description for the characters of gender relations. 5, the text describing the role: female characters are more than male characters. 6, describing the role of professional male characters are more than female characters. 7, the career professional level: male characters are higher than female characters. 8, the text part of the appearance of the masculine pronouns as gender occupations, such as: policeman, mailman. 9, no description of gender issues emerged, so the choice of topics whether the bias of balance, can not be analyzed. 10, no description of the gender of the reasons for success or failure, so the reasons for success or failure of men and women there is gender bias, not analysis Finally, the researcher discussed the results of analysis for the study, and to preparation of teaching materials and those publishing in English, teachers, parents, and make recommendations for future research with a view to promoting gender equality, some of the promised benefit.
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Liao, Pao-Chiao, and 廖保朝. "Content analysis of elementary students' diary." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/25400079227784081058.
Full textAbstract:
碩士國立嘉義大學
國民教育研究所
93
Content analysis of students’ diary in elementary school Pao- Chiao Liao Abstract The best way to remember childhood is to keep a diary. Most of us wrote it when we were young. So many memories were kept on it, no matter pleasure or misery. It’s life and reality. There are a lot of functions in keep students’ diary, such as reflect what we did and improve students’ writing ability It also can provide the function that frequently communication between teacher and students. However, there are still a lot of issues to discuss in students’ diary. Therefore, the research will try to explore the following two directions. One is analysis contents of elementary students’ diary, the other is analysis styles of elementary students’ diary. The main findings were as follows: A. There are three conclusions from analysis contents of students’ diary: 1.The functions of elementary students’ diary such as reality memory record, reflection, improvement of writing ability, students’ creature, frequently communication between teacher and students and situations from students were all proved. 2.The writing emotions of students’ diary were found that students talked a lot to their teacher from diary and they adored opposite sex during the young age. Researcher also found that they often exaggerate what happened to them and image things. To compare with the same generation, students form single parents family were more mature than students from normal family. 3.Elemenatry students’ studying values were disturbed by internet. They were enthusiastic about what they interested but lack of patience when they dislike it. It’s not difficult to find that students made the same mistakes often. In spite of the confusing habit, they were still have a pure, kind mind. B、 There are three conclusions from analysis styles of students’ diary: 1.There are several forms in write the diary, include normal form, mix number and pictures, mix different languages , dialogue and journal account. 2. Researcher found that writing rhetoric of students’ diary were used by students. 3.There are several phenomenon in students’ language of subculture, for example, students like mix English, Japanese, phonetic symbols and pictures in the diary. Each student has his or her nickname, and they called their nickname each other. 4.There are several errors of grammar that students often make. The incorrect idiom , superfluous words and the lack of correct words. Students didn’t check what they wrote.
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Lin, Yi-chang, and 林奕昌. "Content-base Analysis for Music Classification." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/63148912142959619645.
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碩士朝陽科技大學
資訊管理系碩士班
99
The music classification techniques can be discriminated into two categories — based by music feature classification and training by learning machine classification. Both have their advantages and disadvantages. For music feature classifications, most of the approaches are based on single music feature, such as melody or chord, and the accuracy is about 70% in few genres of music. However, the accuracy for classification of most music genres is lower. In this research, we study the music contents and use the multi-features of music to design equation for more accuracy music classification. Our performance study shown that more than 85%, 82%, 80%, and 73% of folk, classic, pop, and jazz music can be classified correctly, respectively, by using multi-feature of music content for classification.
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Huang, Ke-Sen, and 黃科森. "Computer Animation Content Analysis and Comprehension." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/73302967269055969475.
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博士國立清華大學
資訊工程學系
98
Prior to reusing existing data, the most fundamental task is to understand the essence of the data. Furthermore, observing given data from distinct perspectives will provide different insights. Therefore, we seek to extract informative knowledge of animations for obtaining better clarity and usability. In this dissertation, we classify various animation features into two kinds of characteristics, representative attributes and implicit knowledge. Representative attributes denote the elements that can convey visual characteristics of animations, and implicit knowledge refers to those correlations and rules which potentially exist but are not presently evident. To obtain representative attributes, we present two animation summarization methods for extracting the keyframes of animations. The first approach is a constraint-based technique, called Key Probe, which casts the keyframe extraction problem as a constrained matrix factorization problem and solves the problem based on the least-squares optimization technique. The second method, called FrameRank, considers the frame dependent properties to evaluate frame importance and extract salient frames. Experiments with various types of animation examples show that the proposed method produces satisfying results. This method improves upon previous work in that it can deal with multiple objects, handle both rigid-body and soft-body animations, and cope with more complex animations that have a time-varying structure (e.g., fractures and fireworks). To discover the implicit knowledge of human motions, we present a novel visual analysis approach for revealing the relation between individual motions of different body portions. The kernel of our analysis method is a symbolic encoding scheme that represents the motion patterns with verbal symbols, effectively characterizing the spatio-temporal variation of the given motion. Two new visual representations are built on the basis of the verbal symbols: a motion plant that sequentially provides a detailed characterization of the motion, and a motion icon that statistically summarizes the comparisons between verbal streams of body portions. Experimental results show that our approach not only reveals the implicit relationships of human motions, but also favors comparative visualization of human motions in the context of the motion synergy study.