Дисертації з теми "Profiling and Behavioral Analysis"
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Lane, Erin C. "Urban disadvantage, social disorganization, and racial profiling an analysis of ecology and police officers' race-specific search behaviors /." [Gainesville, Fla.] : University of Florida, 2005. http://purl.fcla.edu/fcla/etd/UFE0012660.
Повний текст джерелаSchmidt, Elisabeth. "Profiling the german Gazela vinho verde consumer: a market segmentation based on product quality." Master's thesis, [s.n.], 2013. http://hdl.handle.net/10284/4105.
Повний текст джерелаThe core objective of this study was to find out what preferences and wine consumer patterns characterize specific segments in the German market for Vinho Verde. For this purpose an exploratory research using a self-administered questionnaire was applied. The basis for a cluster analysis was a measurement scale about the perceived product quality of Gazela. Four segments were derived from the cluster analysis: (1) refusing, (2) enthusiastic, (3) indifferent and (4) enjoying Vinho Verde drinker. The second and the fourth segments were found to be the main target groups for Gazela. The findings about the associations between Portugal as the country of origin of Gazela and Portuguese wine were rather negative. The managerial implications suggest developing an advertising campaign in order to successfully promote Gazela in Germany. Two alternatives are suggested: keeping the country of origin on the label or removing it. The first suggestion requires extensive measures and actions to improve the image of wine, which is “made in Portugal”. The results of this study show the need of increasing the awareness of Vinho Verde among German consumers and indicate the need of improvement of the perceptions about Portugal and Portuguese wine and examine possibilities for enhancing the acceptance of Portuguese wine, especially Vinho Verde in Germany.
O objetivo principal deste estudo foi o de descobrir as preferências e os padrões de consumo de vinho que caracterizam os segmentos específicos do mercado alemão para o Vinho Verde. Para este objectivo esta pesquisa exploratória utilizou um questionário auto-administrado. A escala base escolhida para a análise de cluster foi a de medição sobre a qualidade do produto percebida aplicada à marca Gazela. Foram obtidos quatros segmentos a partir da análise de cluster: (1) Objector (2), entusiasta, (3) indiferente e (4) Fruidor de Vinho Verde. Os segmentos 2 e 4 são os grupos alvos de Gazela. Os resultados sobre as associações com Portugal, o país de origem do Gazela, e vinho português demostraram relações bastante negativas. As implicações ao nível da gestão sugerem o desenvolvimento de uma campanha publicitária para promover o sucesso de Gazela na alemanha. Duas alternativas são sugeridas: manter o país de origem no rótulo ou removê-lo. A primeira sugestão requer medidas e ações mais abrangentes para melhorar a imagem do vinho "made in Portugal". Os resultados deste estudo apontam para a necessidade de aumentar a consciência sobre o Vinho Verde entre os consumidores alemães e indicam a necessidade de melhoria das percepções sobre Portugal e sobre o vinho português e de estudar as possibilidades de aumentar a aceitação de vinho português, especialmente o Vinho Verde na Alemanha.
Yan, Dacong. "Program Analyses for Understanding the Behavior and Performance of Traditional and Mobile Object-Oriented Software." The Ohio State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=osu1406064286.
Повний текст джерелаFarahbakhsh, Reza. "Profiling professional and regular users on popular Internet services based on implementation of large scale Internet measurement tools." Thesis, Evry, Institut national des télécommunications, 2015. http://www.theses.fr/2015TELE0012/document.
Повний текст джерелаPopular Internet services are fundamentally shaping and reshaping traditional ways of people communication, thus having a major impact on their social life. Two of the very popular Internet services with this characteristic are Online Social Networks (OSNs) and Peer-to-Peer (P2P) systems. OSNs provide a virtual environment where people can share their information and interests as well as being in contact with other people. On the other hand, P2P systems, which are still one of the popular services with a large proportion of the whole Internet traffic, provide a golden opportunity for their customers to share different type of content including copyrighted content. Apart from the huge popularity of OSNs and P2P systems among regular users, they are being intensively used by professional players (big companies, politician, athletes, celebrities in case of OSNs and professional content publishers in case of P2P) in order to interact with people for different purposes (marketing campaigns, customer feedback, public reputation improvement, etc.). In this thesis, we characterize the behavior of regular and professional users in the two mentioned popular services (OSNs and P2P systems) in terms of publishing strategies, content consumption and behavioral analysis. To this end, five of our conducted studies are presented in this manuscript as follows: - “The evolution of multimedia contents", which presents a thorough analysis on the evolution of multimedia content available in BitTorrent by focusing on four relevant metrics across different content categories: content availability, content popularity, content size and user's feedback. - “The reaction of professional users to antipiracy actions", by examining the impact of two major antipiracy actions, the closure of Megaupload and the implementation of the French antipiracy law (HADOPI), on professional publishers behavior in the largest BitTorrent portal who are major providers of online copyrighted content. - “The amount of disclosed information on Facebook", by investigating the public exposure of Facebook users' profile attributes in a large dataset including half million regular users. - “Professional users Cross Posting Activity", by analyzing the publishing pattern of professional users which includes same information over three major OSNs namely Facebook, Google+ and Twitter. - “Professional Users' Strategies in OSNs", where we investigate the global strategy of professional users by sector (e.g., Cars companies, Clothing companies, Politician, etc.) over Facebook, Google+ and Twitter. The outcomes of this thesis provide an overall vision to understand some important behavioral aspects of different types of users on popular Internet services and these contributions can be used in various domains (e.g. marketing analysis and advertising campaign, etc.) and different parties can benefit from the results and the implemented methodologies such as ISPs and owners of the Services for their future planning or expansion of the current services as well as professional players to increase their success on social media
Farahbakhsh, Reza. "Profiling professional and regular users on popular Internet services based on implementation of large scale Internet measurement tools." Electronic Thesis or Diss., Evry, Institut national des télécommunications, 2015. http://www.theses.fr/2015TELE0012.
Повний текст джерелаPopular Internet services are fundamentally shaping and reshaping traditional ways of people communication, thus having a major impact on their social life. Two of the very popular Internet services with this characteristic are Online Social Networks (OSNs) and Peer-to-Peer (P2P) systems. OSNs provide a virtual environment where people can share their information and interests as well as being in contact with other people. On the other hand, P2P systems, which are still one of the popular services with a large proportion of the whole Internet traffic, provide a golden opportunity for their customers to share different type of content including copyrighted content. Apart from the huge popularity of OSNs and P2P systems among regular users, they are being intensively used by professional players (big companies, politician, athletes, celebrities in case of OSNs and professional content publishers in case of P2P) in order to interact with people for different purposes (marketing campaigns, customer feedback, public reputation improvement, etc.). In this thesis, we characterize the behavior of regular and professional users in the two mentioned popular services (OSNs and P2P systems) in terms of publishing strategies, content consumption and behavioral analysis. To this end, five of our conducted studies are presented in this manuscript as follows: - “The evolution of multimedia contents", which presents a thorough analysis on the evolution of multimedia content available in BitTorrent by focusing on four relevant metrics across different content categories: content availability, content popularity, content size and user's feedback. - “The reaction of professional users to antipiracy actions", by examining the impact of two major antipiracy actions, the closure of Megaupload and the implementation of the French antipiracy law (HADOPI), on professional publishers behavior in the largest BitTorrent portal who are major providers of online copyrighted content. - “The amount of disclosed information on Facebook", by investigating the public exposure of Facebook users' profile attributes in a large dataset including half million regular users. - “Professional users Cross Posting Activity", by analyzing the publishing pattern of professional users which includes same information over three major OSNs namely Facebook, Google+ and Twitter. - “Professional Users' Strategies in OSNs", where we investigate the global strategy of professional users by sector (e.g., Cars companies, Clothing companies, Politician, etc.) over Facebook, Google+ and Twitter. The outcomes of this thesis provide an overall vision to understand some important behavioral aspects of different types of users on popular Internet services and these contributions can be used in various domains (e.g. marketing analysis and advertising campaign, etc.) and different parties can benefit from the results and the implemented methodologies such as ISPs and owners of the Services for their future planning or expansion of the current services as well as professional players to increase their success on social media
Casserly, Alison P. "Integrated Analysis of miRNA/mRNA Expression in the Neurocircuitry Underlying Nicotine Dependence." eScholarship@UMMS, 2018. https://escholarship.umassmed.edu/gsbs_diss/985.
Повний текст джерелаKumar, Tushar. "Characterizing and controlling program behavior using execution-time variance." Diss., Georgia Institute of Technology, 2016. http://hdl.handle.net/1853/55000.
Повний текст джерелаGao, Wei. "CONSTRUCTING USER BEHAVIORAL PROFILES USING DATA-MINING-BASED APPROACH." Diss., Tucson, Arizona : University of Arizona, 2005. http://etd.library.arizona.edu/etd/GetFileServlet?file=file:///data1/pdf/etd/azu%5Fetd%5F1261%5F1%5Fm.pdf&type=application/pdf.
Повний текст джерелаToure, Almamy. "Collection, analysis and harnessing of communication flows for cyber-attack detection." Electronic Thesis or Diss., Valenciennes, Université Polytechnique Hauts-de-France, 2024. http://www.theses.fr/2024UPHF0023.
Повний текст джерелаThe increasing complexity of cyberattacks, characterized by a diversification of attack techniques, an expansion of attack surfaces, and growing interconnectivity of applications with the Internet, makes network traffic management in a professional environment imperative. Companies of all types collect and analyze network flows and logs to ensure the security of exchanged data and prevent the compromise of information systems. However, techniques for collecting and processing network traffic data vary from one dataset to another, and static attack detection approaches have limitations in terms of efficiency and precision, execution time, and scalability. This thesis proposes dynamic approaches for detecting cyberattacks related to network traffic, using feature engineering based on the different communication phases of a network flow, coupled with convolutional neural networks (1D-CNN) and their feature detector. This double extraction allows for better classification of network flows, a reduction in the number of attributes and model execution times, and thus effective attack detection. Companies also face constantly evolving cyber threats, and "zero-day" attacks that exploit previously unknown vulnerabilities are becoming increasingly frequent. Detecting these zero-day attacks requires constant technological monitoring and thorough but time-consuming analysis of the exploitation of these vulnerabilities. The proposed solutions guarantee the detection of certain attack techniques. Therefore, we propose a detection framework for these attacks that covers the entire attack chain, from the data collection phase to the identification of any type of zero-day, even in a constantly evolving environment. Finally, given the obsolescence of existing datasets and data generation techniques for intrusion detection, and the fixed, non-evolving, and non-exhaustive nature of recent attack scenarios, the study of an adapted synthetic data generator while ensuring data confidentiality is addressed. The solutions proposed in this thesis optimize the detection of known and zero-day attack techniques on network flows, improve the accuracy of models, while ensuring the confidentiality and high availability of data and models, with particular attention to the applicability of the solutions in a company network
Wu, Burton. "New variational Bayesian approaches for statistical data mining : with applications to profiling and differentiating habitual consumption behaviour of customers in the wireless telecommunication industry." Thesis, Queensland University of Technology, 2011. https://eprints.qut.edu.au/46084/1/Burton_Wu_Thesis.pdf.
Повний текст джерелаBorchert, Thomas. "Code Profiling : Static Code Analysis." Thesis, Karlstad University, Faculty of Economic Sciences, Communication and IT, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-1563.
Повний текст джерелаCapturing the quality of software and detecting sections for further scrutiny within are of high interest for industry as well as for education. Project managers request quality reports in order to evaluate the current status and to initiate appropriate improvement actions and teachers feel the need of detecting students which need extra attention and help in certain programming aspects. By means of software measurement software characteristics can be quantified and the produced measures analyzed to gain an understanding about the underlying software quality.
In this study, the technique of code profiling (being the activity of creating a summary of distinctive characteristics of software code) was inspected, formulized and conducted by means of a sample group of 19 industry and 37 student programs. When software projects are analyzed by means of software measurements, a considerable amount of data is produced. The task is to organize the data and draw meaningful information from the measures produced, quickly and without high expenses.
The results of this study indicated that code profiling can be a useful technique for quick program comparisons and continuous quality observations with several application scenarios in both industry and education.
Jayawardena, Kasun P. "A criminological analysis : using real-time monitoring to gather data on online predators." Thesis, Queensland University of Technology, 2011. https://eprints.qut.edu.au/40227/1/Kasun_Jayawardena_Thesis.pdf.
Повний текст джерелаAl-Nemrat, Ameer. "Investigating cybercrime profiling and trends analysis." Thesis, University of East London, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.532998.
Повний текст джерелаChapman, Demian D. "From Microsatellite DNA Profiling to Satellite Telemetry: Integrating Behavioral Ecology Into Shark Conservation." NSUWorks, 2007. http://nsuworks.nova.edu/occ_stuetd/61.
Повний текст джерелаMasri, Wassim. "DYNAMIC INFORMATION FLOW ANALYSIS, SLICING AND PROFILING." Case Western Reserve University School of Graduate Studies / OhioLINK, 2005. http://rave.ohiolink.edu/etdc/view?acc_num=case1092886961.
Повний текст джерелаJohnson, Kevin Russell. "Advancements in Thermal Integrity Profiling Data Analysis." Scholar Commons, 2016. http://scholarcommons.usf.edu/etd/6520.
Повний текст джерелаTsai, Shang-Yuan. "Device profiling analysis in Device-Aware Network." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2004. http://library.nps.navy.mil/uhtbin/hyperion/04Dec%5FTsai.pdf.
Повний текст джерелаThesis advisor(s): Singh Gurminder, John Gibson. Includes bibliographical references (p. 65-66). Also available online.
Wortmann, Peter Moritz. "Profiling optimised Haskell : causal analysis and implementation." Thesis, University of Leeds, 2014. http://etheses.whiterose.ac.uk/8321/.
Повний текст джерелаNichols, Beth. "Geographic Profiling: Contributions to the Investigation of Serial Murders." Wright State University / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=wright1559164233007786.
Повний текст джерелаEklöv, David. "Profiling Methods for Memory Centric Software Performance Analysis." Doctoral thesis, Uppsala universitet, Avdelningen för datorteknik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-182594.
Повний текст джерелаUPMARC
Ridley, Andrew James. "Genome wide analysis of dna repair by expression profiling." Thesis, Cardiff University, 2006. http://orca.cf.ac.uk/56167/.
Повний текст джерелаDai, Wei. "Biostatistical analysis of DNA methylation profiling in ovarian cancer." Thesis, Imperial College London, 2011. http://hdl.handle.net/10044/1/7065.
Повний текст джерелаSluss, Randal J. "Racial Profiling and Policing in North Carolina: Reality or Rhetoric?" Digital Commons @ East Tennessee State University, 2007. https://dc.etsu.edu/etd/2073.
Повний текст джерелаHeller, Mark D. "Behavioral analysis of network flow traffic." Thesis, Monterey, California. Naval Postgraduate School, 2010. http://hdl.handle.net/10945/5108.
Повний текст джерелаNetwork Behavior Analysis (NBA) is a technique to enhance network security by passively monitoring aggregate traffic patterns and noting unusual action or departures from normal operations. The analysis is typically performed offline, due to the huge volume of input data, in contrast to conventional intrusion prevention solutions based on deep packet inspection, signature detection, and real-time blocking. After establishing a benchmark for normal traffic, an NBA program monitors network activity and flags unknown, new, or unusual patterns that might indicate the presence of a potential threat. NBA also monitors and records trends in bandwidth and protocol use. Computer users in the Department of Defense (DoD) operational networks may use Hypertext Transport Protocol (HTTP) to stream video from multimedia sites like youtube.com, myspace.com, mtv.com, and blackplanet.com. Such streaming may hog bandwidth, a grave concern, given that increasing amounts of operational data are exchanged over the Global Information Grid, and introduce malicious viruses inadvertently. This thesis develops an NBA solution to identify and estimate the bandwidth usage of HTTP streaming video traffic entirely from flow records such as Cisco's NetFlow data.
Emfevid, Lovisa, and Hampus Nyquist. "Financial Risk Profiling using Logistic Regression." Thesis, KTH, Matematisk statistik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-229821.
Повний текст джерелаI samband med en ökad automatiseringstrend har digital investeringsrådgivning dykt upp som ett nytt fenomen. Av central betydelse är tjänstens förmåga att bedöma en investerares förmåga till att bära finansiell risk. Logistik regression tillämpas för att bedöma en icke- professionell investerares vilja att bära finansiell risk. Målet med uppsatsen är således att identifiera ett antal faktorer med signifikant förmåga till att bedöma en icke-professionell investerares riskprofil. Med andra ord, så syftar denna uppsats till att studera förmågan hos ett antal socioekonomiska- och psykometriska variabler. För att därigenom utveckla en prediktiv modell som kan skatta en individs finansiella riskprofil. Analysen genomförs med hjälp av en enkätstudie hos respondenter bosatta i Sverige. Den huvudsakliga slutsatsen är att en individs inkomst, konsumtionstakt, tidigare erfarenheter av abnorma marknadsförhållanden, och diverse psykometriska komponenter besitter en betydande förmåga till att avgöra en individs finansiella risktolerans
Charles, Nathan Richard. "Data model refinement, generic profiling, and functional programming." Thesis, University of York, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.341629.
Повний текст джерелаStokowy, Tomasz, Markus Eszlinger, Michał Świerniak, Krzysztof Fujarewicz, Barbara Jarząb, Ralf Paschke, and Kurt Krohn. "Analysis options for high-throughput sequencing in miRNA expression profiling." Universitätsbibliothek Leipzig, 2014. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-144393.
Повний текст джерелаBeech, Adam. "Metabolic profiling analysis of pharmacodynamic responses to chemotherapy in cancer." Thesis, Imperial College London, 2016. http://hdl.handle.net/10044/1/51548.
Повний текст джерелаAnderson, Travis J. (Travis John). "Operational profiling and statistical analysis of Arleigh Burke-class destroyers." Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/81582.
Повний текст джерела"June 2013." Cataloged from PDF version of thesis.
Includes bibliographical references (p. 60-62).
Ship operational profiles are a valuable tool for ship designers and engineers when analyzing potential designs and ship system selections. The most common is the speed-time profile, normally depicted as a histogram showing the percent of time spent at each speed. Many shortcomings exist in the current Arleigh Burke (DDG 51)-class operational profiles. The current speed-time profile is out of date, based on another ship class, and does not depict the profile in one-knot increments. Additional profile data, such as how the engineering plant is operated and a mission profile, do not exist. A thorough analysis of recent DDG 51 operations was conducted and new and improved profiles were developed. These profiles indicate the ships tend to operate at slower speeds than was previously predicted with 46% of the time spent at 8 knots and below as compared to the previous profile with 28% for the same speeds. Additionally, profiles were developed to show the amount of time spent in each engineering plant line-up (69% trail shaft, 24% split plant, 7% full power) and the time spent in different mission types (69% operations, 27% transit, 4% restricted maneuvering doctrine). A detailed statistical analysis was then conducted to better understand the data used in profile development and to create a region of likely speed-time profiles rather than just a point solution that is presented in the composite speed-time profile. This was accomplished through studying the underlying distributions of the data as well as the variance.
by Travis J. Anderson.
Nav.E.and S.M.
Louw, Leanie. "Sensory analysis of brandy: the application of rapid profiling methodologies." Thesis, Stellenbosch : Stellenbosch University, 2014. http://hdl.handle.net/10019.1/86483.
Повний текст джерелаENGLISH ABSTRACT: Brandy has a high alcohol content of at least 36% alcohol by volume and a complex volatile chemical structure. Due to this, the sensory evaluation of brandy is challenging to execute and must be carefully managed to avoid panellists’ sensory and mental fatigue. Although rapid sensory profiling methods, such as projective mapping (PM), are commonly used for fast moving consumer goods, it was unclear whether these methods could accommodate the difficulties associated with brandy evaluation. The primary objective of this study was to validate PM, also called Napping®, as a reliable tool for brandy evaluation. Two variations of PM were tested: global napping (GN) where products are evaluated based on overall sensory perception, and partial napping (PN) where the product perception is broken down in to separate sensory modalities, in this case appearance, aroma and in-mouth sensations. Several practical aspects of PM were investigated in order to optimise the method for brandy evaluation and to gain understanding into practical methodological aspects that have not been fully understood at the onset of this study. The results showed that both GN and PN delivered reliable results, but that PN was more reproducible and better suited to larger sample sets (10 products). The concept of in-mouth sensations was found to be ineffective in extracting useful information on mouthfeel differences in the product set and that retronasal flavour should be separated from basic tastes and mouthfeel. A verbal instruction to the panellists was sufficient to obtain reliable information on mouthfeel differences; it was not necessary to use black glasses or nose-clips to eliminate the influence of appearance and flavour perception. In response to the insufficient reproducibility of GN, the sorting method was tested and validated as a suitable screening method that delivered reliable product maps of larger sample sets (10 products) in one replication, compared to GN which has to be replicated several times. A recent hypothesis states that the elongated horizontal dimension of a rectangular PM tasting sheet could be used to elicit more prominent product differences, while tasting sheets without an elongated axis, such as circles or squares, could be used to bring forth more subtle differences. This hypothesis was challenged by testing rectangular, square and round tasting sheet shapes. Although differences were observed between the shapes in terms of product configuration and panellist performance, the practical value of using different tasting sheet shapes to obtain specific information could not be established. The impact of high alcohol content and product complexity on panellist performance in PM was tested and it was concluded that product complexity did influence the panellists’ performance, particularly for high alcohol products. It was also found that prior knowledge of a products’ high alcohol content influenced the panellists’ descriptive language to include more alcohol-related terms. A new panellist performance measure was developed, namely the Relative Performance Index (RPI). This measure can be used to monitor trained panellists’ performance in the PM task more effectively to thereby ensure reliable results. The outcomes of this study extended the brandy sensory evaluation toolbox. Practical measures were identified that can be used to overcome the challenges associated with the sensory evaluation of complex high alcohol products.
AFRIKAANSE OPSOMMING: Met ‘n alkohol inhoud van mintens 36% alkohol per volume en ‘n komplekse vlugtige chemise samestelling is brandewyn ‘n uitdagende produk om sensories te evalueer. Maatreëls moet in plek gestel word om te verhoed dat sensoriese paneellede nie uitgeput raak nie om sodoende betroubare resultate te verseker. Hoewel vinnige sensoriese toetsmetodes, soos projeksiekartering (PM) en sortering, gereeld gebruik word vir die evaluasie van vining bewegende verbruikersgoedere was dit weens die voorafgenoemde redes onduidelik of die metodes geskik sou wees vir brandewynevaluasie. Die oorhoofse doelwit van hierdie projek was om PM, ook genoem Napping®, te valideer as ‘n geskikte metode vir die sensoriese evaluering van brandewyn. Twee variasies van PM is ondersoek: oorhoofse kartering (GN) waar die produkte op grond van ‘n algehele sensoriese waarneming evalueer word, en gedeeltelike kartering (PN), waar die verskillende sensoriese waarnemingsmodaliteite afsonderlik gemeet word. In hierdie geval is voorkoms, aroma en algehele binne-mondse ervaring gemeet. Verskeie aspekte van GN en PN is ondersoek ten einde die metodes vir brandewynevaluasie te optimiseer asook lig te werp op praktiese metodologiese aspekte waaroor daar nog onsekerheid was by die aanvang van hierdie studie. Die resultate het getoon dat beide GN en PN betroubare inligting oor brandewyn kan oplewer, maar dat PN meer herhaalbaar en beter geskik is vir groter produkstelle (10 produkte). Dit is egter bevind dat die konsep van algehele binne-mondse waarneming nie doeltreffend was om mondgevoelverskille tussen produkte uit te lig nie. Smaak- en mondgevoelwaarnemings moet liefs onderskei word van binne-mondse geurwaarneming. Dis bevind dat dit voldoende is om hierdie onderskeid deur skriftelike instruksies tot die paneel te bewerkstelling en dat die gebruik van swart glase en neusknippies nie nodig was om betekenisvolle inligting oor mondgevoel te bekom nie. Na aanleiding van die swak herhaalbaarheid van GN, is sortering getoets en gevalideer as ‘n geskikte siftingsmetode wat betroubare produkkaarte van groot produkstelle (10 produkte) kan oplewer met slegs een evaluasie, teenoor GN waarvoor meer as een sessie benodig word. ‘n Onlangse hipotese stel dat die langer horisontale dimensie van reghoekige PM proekaarte gebruik kan word om meer prominente verskille tussen produkte uit te wys, terwyl proekaarte sonder verlengde asse, soos sirkels en vierkante, gebruik kan word om meer subtiele verskille uit te wys. Hierdie hipotese is bevraagteken deur reghoekige, vierkantige en ronde PM proekaarte teenoor mekaar te toets. Hoewel die resultate vanaf die verskillende proekaarte effens verskil het in terme van produk konfigurasie en die paneel se taakverrigting, kon die praktiese waarde van die gebruik van produkkaarte met verskillende vorms om spesifieke inligting te bekom nie bevestig word nie. Die impak van hoë alkohol en produkkompleksiteit op paneellede se PM taakverrigting is ondersoek. Dit is bevind dat produkkompleksiteit wel hul taakuitvoering beinvloed, en dat hierdie invloed groter is vir hoë alkohol produkte. Dit is ook gevind dat paneellede se beskrywende taalgebruik beïnvloed om meer alkoholverwante woorde in te sluit word indien hul kennis dra van ‘n produk se hoë alkohol inhoud. ‘n Nuwe vaardigheidsberaming vir die meet van paneellede se taakverrigting is ontwikkel, naamlik die Relatiewe Taakverrigtingsindeks (RTW). Dit kan gebruik word om paneellede se vaardigheid in PM meer doeltreffend te monitor en sodoende betroubare resultate te verseker. Die uitkomste van die studie het die poel beskikbare metodes vir die sensoriese evaluering van brandewyn suksesvol verbreed en praktiese maatreëls is geidentifiseer om die uitdagings van ‘n komplekse hoë alkohol produkte te oorkom.
Jacobsen, Mette Dorph. "Analysis of Candida albicans gene expression using single cell profiling." Thesis, University of Aberdeen, 2005. http://digitool.abdn.ac.uk/R?func=search-advanced-go&find_code1=WSN&request1=AAIU193586.
Повний текст джерелаVieira, Thiago Pereira de Brito. "An approach for profiling distributed applications through network traffic analysis." Universidade Federal de Pernambuco, 2013. https://repositorio.ufpe.br/handle/123456789/12454.
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Made available in DSpace on 2015-03-13T14:22:30Z (GMT). No. of bitstreams: 2 Dissertação Thiago Vieira.pdf: 1199574 bytes, checksum: 81f443f0b4fbf4d223cda440cc56d722 (MD5) license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5) Previous issue date: 2013-03-05
Distributed systems has been adopted for building modern Internet services and cloud computing infrastructures, in order to obtain services with high performance, scalability, and reliability. Cloud computing SLAs require low time to identify, diagnose and solve problems in a cloud computing production infrastructure, in order to avoid negative impacts into the quality of service provided for its clients. Thus, the detection of error causes, diagnose and reproduction of errors are challenges that motivate efforts to the development of less intrusive mechanisms for monitoring and debugging distributed applications at runtime. Network traffic analysis is one option to the distributed systems measurement, although there are limitations on capacity to process large amounts of network traffic in short time, and on scalability to process network traffic where there is variation of resource demand. The goal of this dissertation is to analyse the processing capacity problem for measuring distributed systems through network traffic analysis, in order to evaluate the performance of distributed systems at a data center, using commodity hardware and cloud computing services, in a minimally intrusive way. We propose a new approach based on MapReduce, for deep inspection of distributed application traffic, in order to evaluate the performance of distributed systems at runtime, using commodity hardware. In this dissertation we evaluated the effectiveness of MapReduce for a deep packet inspection algorithm, its processing capacity, completion time speedup, processing capacity scalability, and the behavior followed by MapReduce phases, when applied to deep packet inspection for extracting indicators of distributed applications.
Sistemas distribuídos têm sido utilizados na construção de modernos serviços da Internet e infraestrutura de computação em núvem, com o intuito de obter serviços com alto desempenho, escalabilidade e confiabilidade. Os acordos de níves de serviço adotados pela computação na núvem requerem um reduzido tempo para identificar, diagnosticar e solucionar problemas em sua infraestrutura, de modo a evitar que problemas gerem impactos negativos na qualidade dos serviços prestados aos seus clientes. Então, a detecção de causas de erros, diagnóstico e reprodução de erros provenientes de sistemas distribuídos são desafios que motivam esforços para o desenvolvimento de mecanismos menos intrusivos e mais eficientes, para o monitoramento e depuração de aplicações distribuídas em tempo de execução. A análise de tráfego de rede é uma opção para a medição de sistemas distribuídos, embora haja limitações na capacidade de processar grande quantidade de tráfego de rede em curto tempo, e na escalabilidade para processar tráfego de rede sob variação de demanda de recursos. O objetivo desta dissertação é analisar o problema da capacidade de processamento para mensurar sistemas distribuídos através da análise de tráfego de rede, com o intuito de avaliar o desempenho de sistemas distribuídos de um data center, usando hardware não especializado e serviços de computação em núvem, de uma forma minimamente intrusiva. Nós propusemos uma nova abordagem baseada em MapReduce para profundamente inspecionar tráfego de rede de aplicações distribuídas, com o objetivo de avaliar o desempenho de sistemas distribuídos em tempo de execução, usando hardware não especializado. Nesta dissertação nós avaliamos a eficácia do MapReduce para um algoritimo de avaliação profunda de pacotes, sua capacidade de processamento, o ganho no tempo de conclusão de tarefas, a escalabilidade na capacidade de processamento, e o comportamento seguido pelas fases do MapReduce, quando aplicado à inspeção profunda de pacotes, para extrair indicadores de aplicações distribuídas.
Goudsmits, E. "Chemical profiling of ballistic materials : analysis of organic gunshot residue." Thesis, Liverpool John Moores University, 2018. http://researchonline.ljmu.ac.uk/8454/.
Повний текст джерелаLuo, Yawen. "Cognitive deficits, behavioral changes and gene expression profiling in a mouse model of repeated mild traumatic brain injury." Thesis, University of British Columbia, 2011. http://hdl.handle.net/2429/32853.
Повний текст джерелаWilson, Alyssa N. "Behavioral and neurological investigations into pathological gambling as a behavioral addiction." OpenSIUC, 2012. https://opensiuc.lib.siu.edu/dissertations/524.
Повний текст джерелаHahn, Fox Bryanna. "Developing and testing a profile of American burglars using statistical analyses and scientific methods : a new approach to offender profiling." Thesis, University of Cambridge, 2013. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.648401.
Повний текст джерелаYiu, Tak Wing. "A behavioral analysis of construction dispute negotiation /." access full-text access abstract and table of contents, 2005. http://libweb.cityu.edu.hk/cgi-bin/ezdb/thesis.pl?phd-bc-b19887577a.pdf.
Повний текст джерела"Submitted to Department of Building and Construction in partial fulfillment of the requirements for the degree of Doctor of Philosophy" Includes bibliographical references (leaves 179-201)
REIS, ROBSON COSTA. "ANALYSIS OF THE PERFORMANCE OF BEHAVIORAL FUNDS." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2015. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=25836@1.
Повний текст джерелаThis work has analyzed the performance of 31 behavioral mutual funds operating in USA, Europe and Japan, as described in Santoni and Kelshiker (2010). It has been observed the performance of the funds and their respective Benchmarks according to four measures: Sharpe Index, Sortino Index, Omega Measure and Behavioral Performance Measure. The analysis covered a 10-year period (jan-04 to dec-14) split into intervals of 6, 12, 36, 60 and 120 months. Based on the consolidation of the performance measures, the funds have been ranked and classified into three performance categories: upper, intermediate and lower. In the 120-month interval there has not been, on average, a significant difference (at 5 per cent) in performance between funds and Benchmarks. The analysis by intervals showed that the funds performance worsens in relation to the Benchmarks as the investment period increases. In shorter intervals (6 and 12 months) there has not been, on average, a significant difference in performance while in the longer intervals (36 and 60 months) the funds average performance was significantly lower than the Benchmarks. Computing the mean of all intervals, the funds average performance was significantly lower than the Benchmarks. Among the performance measures used, the Sortino Index presented the highest correlation with the general performance of the funds.
Belfodil, Adnene. "Exceptional model mining for behavioral data analysis." Thesis, Lyon, 2019. http://www.theses.fr/2019LYSEI086.
Повний текст джерелаWith the rapid proliferation of data platforms collecting and curating data related to various domains such as governments data, education data, environment data or product ratings, more and more data are available online. This offers an unparalleled opportunity to study the behavior of individuals and the interactions between them. In the political sphere, being able to query datasets of voting records provides interesting insights for data journalists and political analysts. In particular, such data can be leveraged for the investigation of exceptionally consensual/controversial topics. Consider data describing the voting behavior in the European Parliament (EP). Such a dataset records the votes of each member (MEP) in voting sessions held in the parliament, as well as information on the parliamentarians (e.g., gender, national party, European party alliance) and the sessions (e.g., topic, date). This dataset offers opportunities to study the agreement or disagreement of coherent subgroups, especially to highlight unexpected behavior. It is to be expected that on the majority of voting sessions, MEPs will vote along the lines of their European party alliance. However, when matters are of interest to a specific nation within Europe, alignments may change and agreements can be formed or dissolved. For instance, when a legislative procedure on fishing rights is put before the MEPs, the island nation of the UK can be expected to agree on a specific course of action regardless of their party alliance, fostering an exceptional agreement where strong polarization exists otherwise. In this thesis, we aim to discover such exceptional (dis)agreement patterns not only in voting data but also in more generic data, called behavioral data, which involves individuals performing observable actions on entities. We devise two novel methods which offer complementary angles of exceptional (dis)agreement in behavioral data: within and between groups. These two approaches called Debunk and Deviant, ideally, enables the implementation of a sufficiently comprehensive tool to highlight, summarize and analyze exceptional comportments in behavioral data. We thoroughly investigate the qualitative and quantitative performances of the devised methods. Furthermore, we motivate their usage in the context of computational journalism
Subramaniyam, Yamuna. "Behavioral analysis of comminution using complex networks." Thesis, The University of Sydney, 2014. http://hdl.handle.net/2123/13355.
Повний текст джерелаLuc, Oanh. "A Behavioral Analysis of the Stroop Effect." Thesis, University of North Texas, 2019. https://digital.library.unt.edu/ark:/67531/metadc1538655/.
Повний текст джерелаArole, Alukayode. "Power profiling an incremental power analysis technique for FPGA-based designs /." Cincinnati, Ohio : University of Cincinnati, 2006. http://www.ohiolink.edu/etd/view.cgi?acc%5Fnum=ucin1155577393.
Повний текст джерелаForshed, Jenny. "Processing and analysis of NMR data : Impurity determination and metabolic profiling." Doctoral thesis, Stockholm : Dept. of analytical chemistry, Stockholm university, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-712.
Повний текст джерелаHu, C. T. "Gene expression profiling in rat tissues by cDNA representational difference analysis." Thesis, University of Cambridge, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.604690.
Повний текст джерелаHardwicke, Alexander. "Performance impacts of profiling multi-threaded applications with flexible analysis tools." Thesis, Malmö högskola, Fakulteten för teknik och samhälle (TS), 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-20723.
Повний текст джерелаThe aim of this study was to investigate how the use of profilers impacted the performance of multi-threaded applications. This study was undertaken in the framework of a project for Edument AB, creators of one of the profilers investigated in this study. Specifically, the study aimed to find out what additional overhead can result in profiling multi-threaded applications, with regards to CPU use, memory use, and additional time taken to complete execution. The paper hypothesised that the selection of data that each profiler recorded would impact the performance, with those that recorded a very large amount of detail about the application being profiled would introduce a higher overhead.A selection of five profilers was made, each profiler offering a range of features and functionality, and a test application was written to simulate a multi-threaded application. A very lightweight application, referred to as the monitoring application, was also written which recorded the overhead each profiler used, along with the overhead of the test application and the time taken to run. Essentially, each profiler was itself profiled by the monitoring application, ensuring consistent overhead data was gathered for each profiler.The results of the study showed that the choice of profiler can have a substantial impact on the performance of the application being profiled. One profiler resulted in execution of the test application taking 513% as much time to run, and adding an overhead of 1400% memory use. After analysing this data, there appeared to be a correlation between what features the profilers recorded and the overhead, consistent with the hypothesis put forward at the beginning of the study.
AROLE, ALUKAYODE. "POWER PROFILING: AN INCREMENTAL POWER ANALYSIS TECHNIQUE FOR FPGA-BASED DESIGNS." University of Cincinnati / OhioLINK, 2006. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1155577393.
Повний текст джерелаHeimiller, Joseph Karl. "Genome-wide analysis of splicing requirements and function through mRNA profiling." Thesis, University of Colorado at Boulder, 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=3607314.
Повний текст джерелаThe RNA-binding proteins U2AF and PTB play important roles in gene expression in many eukaryotic species. Although U2AF and PTB have been well-studied, their functional requirements have not been investigated on a genome-wide scale. In this thesis, I analyze RNA expression data to determine the requirement of the general splicing factor U2AF in S. pombe and to identify genes misregulated in Drosophila PTB mutants. I find that many introns are insensitive to U2AF inactivation in a Schizosaccharomyces pombe U2AF59 mutant, prp2.1. Bioinformatics analysis indicates that U2AF-insensitive introns have stronger 5' splice sites and higher A/U composition. The importance of intronic nucleotide composition was further investigated using wild type RNA expression data sets. I show that nucleotide composition is a relatively important factor for regulated intron retention in a variety of species. I also analyzed the RNA-binding protein PTB using RNA Seq data to reveal genes misregulated in PTB mutants in D. melanogaster. I identify misregulation of alternative splicing in PTB mutants and putative PTB binding sites. In the PTB embryonic lethal mutant, which shows dorsoventral patterning defects, I show that dorsal fate genes are significantly up-regulated. I present a model to link PTB to dorsal closure defects. This thesis provides the first genome-wide analysis of U2AF in S. pombe and PTB in Drosophila melanogaster.
Deshpande, A. B. "Mango ( magnifera indica L.) flavor biogenesis: metabolic profiling and molecular analysis." Thesis(Ph.D.), CSIR-National Chemical Laboratory, Pune, 2017. http://dspace.ncl.res.in:8080/xmlui/handle/20.500.12252/4512.
Повний текст джерелаSievertzon, Maria. "Transcript profiling of small tissue samples using microarray technology." Doctoral thesis, Stockholm Department of Biotechnology, Royal Institute of Technology, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-158.
Повний текст джерелаYezbick, Gabrielle. "Physicochemical Characterization and Isoflavone Profiling of Sourdough Soy Bread." The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1345313529.
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