Literatura académica sobre el tema "Audience monitoring"
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Artículos de revistas sobre el tema "Audience monitoring":
Grujić, Bojana. "Research of public libraries audience". Kultura, n.º 170-171 (2021): 101–23. http://dx.doi.org/10.5937/kultura2171101g.
Heo, Jeakang, Yongjune Kim y Jinzhe Yan. "Sustainability of Live Video Streamer’s Strategies: Live Streaming Video Platform and Audience’s Social Capital in South Korea". Sustainability 12, n.º 5 (4 de marzo de 2020): 1969. http://dx.doi.org/10.3390/su12051969.
Boon, Jan, Koen Verhoest y Jan Wynen. "What determines the audiences that public service organisations target for reputation management?" Policy & Politics 48, n.º 2 (1 de abril de 2020): 295–314. http://dx.doi.org/10.1332/030557319x15613697611542.
Giurgiu, Luminița, Ioan Munteanu y Ilie Gligorea. "Traffic Monitoring Tools to the Site". International conference KNOWLEDGE-BASED ORGANIZATION 24, n.º 3 (1 de junio de 2018): 45–52. http://dx.doi.org/10.1515/kbo-2018-0135.
Sa'diyah El Adawiyah, Nurhayat, Tria Patrianti y Agus Hermanto. "POLITICAL CAMPAIGN FOR SOUTH TANGERANG REGIONAL ELECTIONS". Proceedings Of International Conference On Communication Science 2, n.º 1 (10 de noviembre de 2022): 596–604. http://dx.doi.org/10.29303/iccsproceeding.v2i1.98.
Плотников, Д. Г., И. А. Боков, А. А. Остапенко, С. В. Лихобабин, Р. Д. Бурцев y А. А. Сиделев. "SOFTWARE AND HARDWARE COMPLEX FOR MONITORING THE YOUTH INTERNET AUDIENCE". ИНФОРМАЦИЯ И БЕЗОПАСНОСТЬ, n.º 4(-) (23 de diciembre de 2022): 531–38. http://dx.doi.org/10.36622/vstu.2022.25.4.007.
Little, Andrew T. "Fraud and Monitoring in Non-competitive Elections". Political Science Research and Methods 3, n.º 1 (23 de septiembre de 2014): 21–41. http://dx.doi.org/10.1017/psrm.2014.9.
Turner, Claude, Dwight Richards, Ruth Agada, Jie Yan, Rolston Jeremiah y Thomas Chapman. "LUCID Network Monitoring and Visualization Application". Journal of The Colloquium for Information Systems Security Education 9, n.º 1 (8 de marzo de 2022): 8. http://dx.doi.org/10.53735/cisse.v9i1.151.
Narenthira Prasath, D. y Dushyant Kumar Singh. "An LoRa based WSN for monitoring targeted Audience with Heart Diseases". Journal of Physics: Conference Series 2327, n.º 1 (1 de agosto de 2022): 012074. http://dx.doi.org/10.1088/1742-6596/2327/1/012074.
Halim, Thalia Metta y Kiattipoom Kiatkawsin. "Beauty and Celebrity: Korean Entertainment and Its Impacts on Female Indonesian Viewers’ Consumption Intentions". Sustainability 13, n.º 3 (29 de enero de 2021): 1405. http://dx.doi.org/10.3390/su13031405.
Tesis sobre el tema "Audience monitoring":
Amiri, Asgari J. N. "Automatic face recognition for television audience monitoring". Thesis, Brunel University, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.363285.
Lassoued, Imed. "Adaptive monitoring and management of Internet traffic". Nice, 2011. http://www.theses.fr/2011NICE4110.
Traffic measurement allows network operators to achieve several purposes such as traffic engineering, network resources provisioning and management, accounting and anomaly detection. However, existing solutions suffer from different problems namely the problem of scalability to high speeds, the problem of detecting changes in network conditions, and the problem of missing meaningful information in the traffic. The main consequence of this trend is an inherent disagreement between existing monitoring solutions and the increasing needs of management applications. Hence, increasing monitoring capabilities presents one of the most challenging issues and an enormous undertaking in a large network. This challenge becomes increasingly difficult to meet with the remarkable growth of the Internet infrastructure, the increasing heterogeneity of user’s behaviour and the emergence of a wide variety of network applications. In this context, we present the design of an adaptive centralized architecture that provides visibility over the entire network through a net-work-wide cognitive monitoring system. We consider the following important requirements in the design of our network-wide monitoring system. The first underscores the fact that the vendors do not want to implement sophisticated sampling schemes that give good results under certain circumstances. They want to implement simple and robust solutions that are well described by some form of a standard (i. E. SFlow, NetFlow). Thus, we decide to design a new solution that deals with existing monitoring techniques and tries to coordinate responsibilities between the different monitors in order to improve the overall accuracy. The second requirement stipulates that the monitoring system should provide general information of the entire network. To do so, we adopt a centralized approach that provides visibility over the entire network. Our system investigates the different local measurements and correlates their results in order to address the trade off between accuracy and monitoring constraints. Ands the last requirement indicates that the monitoring system should address the scalability problem and respect monitoring constraints. To this end, our system relies on a network configuration module hat provides a responsive solution able to detect changes in network conditions and adapt the different sampling rates to network state. At the same time it avoids unnecessary details and oscillations in the traffic in order to keep the resulting overhead within the desired bounds. The network reconfiguration module deals with local monitoring tools and adjusts automatically and periodically sampling rates in order to coordinate responsibilities and distribute the work between the different monitors
Cary, Melissa A. "Making Music Sustainable: The Case of Marketing Summer Jamband Festivals in the U.S., 2010". TopSCHOLAR®, 2012. http://digitalcommons.wku.edu/theses/1206.
Yang, Feifei. "Techniques de comptage et cartographie passives de clients WiFi dans l’ère de la protection des données". Electronic Thesis or Diss., Sorbonne université, 2023. https://accesdistant.sorbonne-universite.fr/login?url=https://theses-intra.sorbonne-universite.fr/2023SORUS264.pdf.
The emergence of data privacy legislation, such as the GDPR, has posed significant hurdles for WiFi network operators, impeding their ability to track and analyze client activity for commercial and security purposes. The dynamic randomization of client device MAC addresses during each transmission has created obstacles in aggregating client data using management frames like probe requests, which were commonly employed in the past. Consequently, accurately quantifying and mapping client activity has become a complex task, often necessitating supplementary measurements from alternative sensors such as cameras. Our research yielded encouraging results in addressing these challenges. First of all, we have demonstrated statistically that a proportional relationship exists between the number of clients and the raw count of probe requests, thus alleviating the problem of client counting, without relying on ground truth measurements. Despite this advancement, however, the localization of clients with randomized MAC addresses within a network site remains an unresolved problem. To confront this issue, the thesis proposes a toolkit whose objective is to extend the proportionality between client counts and probe requests to the mapping of client densities in real-world outdoor WiFi networks. With this toolkit, raw probe requests can be transformed into a density map showing client populations. By combining the proposed toolkit with the findings derived from the research on client counting, this thesis presents an interesting solution to the challenges confronted by today’s WiFi network operators. The toolkit facilitates accurate mapping of client densities in outdoor WiFi networks while adhering to data privacy regulations and accounting for MAC address randomization. This approach enhances the comprehension of client behavior, while ensuring the preservation of privacy and addressing technical challenges
Caetano, Diogo Gará 1978. "Proposta de sistema colaborativo cognitivo de baixo custo para análise e predição de sinais DTV". [s.n.], 2015. http://repositorio.unicamp.br/jspui/handle/REPOSIP/261223.
Tese (doutorado) - Universidade Estadual de Campinas, Faculdade de Engenharia Elétrica e de Computação
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Resumo: Esse trabalho inicialmente faz uma análise da evolução dos sistemas de comunicações digitais, enfatizando a evolução dos sistemas DTV (Digital TV) e explora através de aplicações, os conceitos de IoT (Internet of Things), computação em nuvem, mineração de dados, big data e rádios cognitivos, propondo o uso de redes de sensores e banco de dados para uma diversidade de aplicações relacionadas ao uso do espectro de frequências, entre elas: o sensoriamento do espectro, a medição da qualidade de sinais ao longo do tempo, a estatística de audiência e a detecção dos modelos de propagação mais adequados para cada região. Na proposta, a medição de qualidade dos sinais de radiodifusão é realizada por sensores em campo e a interface gráfica é realizada através de Web Map Services, possibilitando a filtragem das informações por tipo de medida, área e período de interesse. Distribui-se o processamento de dados entre servidores e máquinas locais para o melhor desempenho das aplicações. Para o sensoriamento, aplica-se o conceito de IoT ao se propor a conversão de receptores comerciais convencionais como Set-Top-Boxes e smartphones em sensores de qualidade de sinais, considera-se esse método como uma solução viável para a composição de redes com centenas a milhares de sensores. Os sensores ao ganharem a capacidade de varrer o espectro de frequências de forma automática, são também considerados como rádios cognitivos em sistemas DTV. Devido à atual preocupação das agências reguladoras em buscar soluções para a melhor gestão e compartilhamento do espectro, propõe-se dessa forma, uma solução baseada em sensores de baixo custo e banco de dados que possam atuar na gestão do uso das frequências e, consequentemente possibilite uma série de análises quantitativas e qualitativas dos sinais eletromagnéticos
Abstract: This thesis initially analyses the evolution of digital communications, emphasizing the evolution of DTV systems (Digital TV), and, through software applications, explores the concepts of IoT (Internet of Things), cloud computing, data mining, big data and cognitive radios, when proposing the use of sensor networks and databases for a variety of applications related to the use of frequency spectrum, among them, spectrum sensing, measurement of signal quality over time, processing of collected data and its comparison with signal propagation models. We propose the measurement of broadcasting signal quality through low cost field sensors and the use of Web Map Services as a user interface, enabling the data filtering by type of measurement, area and period of interest. The data is processed by servers and local machines for improvement of applications performance. Following the concept of IoT, we propose the conversion of conventional commercial receivers, such as Set-Top-Boxes and smartphones into signal field sensors. This solution is considered a viable solution for the composition of networks with hundreds to thousands of sensors. As the devices incorporates capacity of frequency spectrum scanning capabilities, the proposed method can also be considered an application of cognitive radio system in DTV. Due to the concern of regulatory agencies in seeking solutions for better spectrum management and sharing among different systems, we propose a solution based on low-cost sensors and databases, which can act in the management of the frequency spectrum and therefore enable a series of quantitative and qualitative analyzes of radio signals
Doutorado
Telecomunicações e Telemática
Doutor em Engenharia Elétrica
Chugani, Sunaina Kumar. "Social forces and hedonic adaptation". 2013. http://hdl.handle.net/2152/21729.
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Libros sobre el tema "Audience monitoring":
Media Advocacy Group (New Delhi, India), ed. Assessing the role of television in the general election 1998: A monitoring and audience feedback study. New Delhi: The Group, 1998.
Sil'vestrov, Sergey, Vladimir Starovoytov, Vladimir Bauer, Aleksandr Selivanov, Vladimir Lepskiy, Aleksandr Raykov, Svetlana Lipina et al. Strategic planning in the public sector of the economy. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1081855.
Stuart, Heather, Julio Arboleda-Flórez y Norman Sartorius. Program Monitoring and Evaluation. Oxford University Press, 2013. http://dx.doi.org/10.1093/med/9780199797639.003.0017.
Astor, Ron y Rami Benbenishty. Mapping and Monitoring Bullying and Violence. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190847067.001.0001.
Stolz, John, Daniel Bain y Michael Griffin, eds. Environmental Impacts from the Development of Unconventional Oil and Gas Reserves. Cambridge University Press, 2022. http://dx.doi.org/10.1017/9781108774178.
Pettorelli, Nathalie. Satellite Remote Sensing and the Management of Natural Resources. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198717263.001.0001.
Guideline for Preventive Chemotherapy for the Control of Taenia solium Taeniasis. Pan American Health Organization, 2021. http://dx.doi.org/10.37774/9789275123720.
Toolkit for Integrated Serosurveillance of Communicable Diseases in the Americas. Pan American Health Organization, 2022. http://dx.doi.org/10.37774/9789275125656.
Capítulos de libros sobre el tema "Audience monitoring":
Bocyte, Rasa, Johan Oomen y Fred Truyen. "Self-assessment and Monitoring of CHI Performance in Digital Transformation". En Linking Theory and Practice of Digital Libraries, 128–32. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-86324-1_16.
Inoue, R., Y. Hashimoto y Y. Yokoyama. "Theoretical study on phase interference method for passive reduction of multiple excitation forces – reduction method of vibration due to rhythmic action of concert audience". En Environmental Vibrations: Prediction, Monitoring, Mitigation and Evaluation (ISEV 2005), 445–52. London: CRC Press, 2021. http://dx.doi.org/10.1201/9781003209379-66.
Saran, Ceren. "Algorithms and Audience Monitoring in Newsrooms: Search Engine Optimisation in Editorial Processes of Mainstream Media in Turkey". En Journalism and Digital Content in Emerging Media Markets, 27–47. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-04552-3_3.
Mpofu, Shepherd. "Monitoring the Fourth Estate: A Critical Analysis of the Role of Audiences in Watchdogging Journalists". En New Journalism Ecologies in East and Southern Africa, 183–205. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-23625-9_11.
Dharshini V, Aiswarya S, Ashwin R y Usha A. "Sports Ground Audience Health Monitoring System [For COVID-19] Using Smart Wireless Sensor Network". En Recent Trends in Intensive Computing. IOS Press, 2021. http://dx.doi.org/10.3233/apc210295.
Tsubota, Yasushi, Tsutomu Inagaki, Takayuki Nozawa y Yasushige Ishikawa. "A Pre-Telecollaboration Training Course for Japanese EFL Learners". En Telecollaboration Applications in Foreign Language Classrooms, 23–44. IGI Global, 2023. http://dx.doi.org/10.4018/978-1-6684-7080-0.ch002.
D'Auria, Anna. "New Approaches in Carrying On and Monitoring Museum Performance". En Handbook of Research on Museum Management in the Digital Era, 56–73. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-7998-9656-2.ch004.
Ludovic, Hennebel. "Part III Organs Monitoring Treaty Compliance, 10 The Human Rights Committee". En The United Nations and Human Rights. Oxford University Press, 2020. http://dx.doi.org/10.1093/law/9780198298373.003.0011.
Akpati, Chibuzor y Aderoju Mathew. "A Multimodal Critical Discourse Study of Persuasive Strategies and Identity Construction in Admission Adverts of Select Private University Websites". En Transformation of Higher Education Through Institutional Online Spaces, 224–36. IGI Global, 2023. http://dx.doi.org/10.4018/978-1-6684-8122-6.ch013.
Young, Patricia A. "CBM Inquiry, Development". En Instructional Design Frameworks and Intercultural Models, 55–72. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-60566-426-2.ch004.
Actas de conferencias sobre el tema "Audience monitoring":
Puškar, Liljana, Dorotea Klara Vinski y Ana Sović Kržić. "An Audience Response System for Monitoring Classroom Emotional Climate in Elementary School". En 2023 IEEE Frontiers in Education Conference (FIE). IEEE, 2023. http://dx.doi.org/10.1109/fie58773.2023.10343343.
Dong, Yiwen, Yuyan Wu, Jesse R. Codling, Jatin Aggarwal, Peide Huang, Wenhao Ding, Hugo Latapie, Pei Zhang y Hae Young Noh. "GameVibes: Vibration-based Crowd Monitoring for Sports Games through Audience-Game-Facility Association Modeling". En BuildSys '23: The 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation. New York, NY, USA: ACM, 2023. http://dx.doi.org/10.1145/3600100.3623750.
Stamatiadou, Marina Eirini, Nikolaos Vryzas, Lazaros Vrysis y Charalampos Dimoulas. "BeeMate the Game: A hunting treasure serious game for raising awareness and audience engagement in air pollution monitoring". En 2023 8th International Conference on Smart and Sustainable Technologies (SpliTech). IEEE, 2023. http://dx.doi.org/10.23919/splitech58164.2023.10193725.
Emerson, Benjamin, Chris Perullo, Tim Lieuwen, Scott Sheppard, Jared Kee, David Noble y Leonard Angello. "Combustion Dynamics Monitoring Considerations for Systems With Autotuning". En ASME Turbo Expo 2018: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/gt2018-77072.
Lismidiati, Wiwin, Happy Indah Kusumawati, Akhmadi, Lutfan Lazuardi, Dimas SEW Sumunar y Mia Purnama. "Primagravida System Usability for Pregnancy and Child Growth Monitoring in Rural Areas". En 3rd International Conference on Community Engagement and Education for Sustainable Development. AIJR Publisher, 2023. http://dx.doi.org/10.21467/proceedings.151.54.
Bonel-Cerdan, Jose I. y Jorgen L. Nikolajsen. "An Introduction to Harmonic Wavelet Analysis of Machine Vibrations". En ASME 1997 International Gas Turbine and Aeroengine Congress and Exhibition. American Society of Mechanical Engineers, 1997. http://dx.doi.org/10.1115/97-gt-058.
Simion, Doina irina. "TEACHING VISUAL AIDS PRESENTATIONS TO ADVANCED E_ENGINEERING STUDENTS DEVELOPMENT VIA SELF-TEACHER MONITORING". En eLSE 2020. University Publishing House, 2020. http://dx.doi.org/10.12753/2066-026x-20-149.
Benente, Michela, Valeria Minucciani y Paolo Dabove. "Technology as a tool to study visitor behaviour in museums: positioning and neuropsychological detection to identify physical & cognitive barriers". En 14th International Conference on Applied Human Factors and Ergonomics (AHFE 2023). AHFE International, 2023. http://dx.doi.org/10.54941/ahfe1003332.
Yufei, Xia, Wai Tse, Xinyan Qin, Sheng Liu y Sen Zhang. "First Chinese SCADA System for Long Distance Oil and Gas Pipelines". En 2008 7th International Pipeline Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/ipc2008-64511.
Angello, Leonard, Bobby Noble, Rob Steele, Mitch Cohen y Benjamin Emerson. "Dry Low NOx (DLN) Combustion System Operability Considerations". En ASME Turbo Expo 2022: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/gt2022-82667.
Informes sobre el tema "Audience monitoring":
Baete, Christophe. PR-405-163602-WEB AC Criteria and Coupons. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), octubre de 2019. http://dx.doi.org/10.55274/r0011625.
Baluk, Nadia, Natalia Basij, Larysa Buk y Olha Vovchanska. VR/AR-TECHNOLOGIES – NEW CONTENT OF THE NEW MEDIA. Ivan Franko National University of Lviv, febrero de 2021. http://dx.doi.org/10.30970/vjo.2021.49.11074.
Bozek, Michael y Tani Hubbard. Greater Yellowstone Network amphibian monitoring protocol science review: A summary of reviewers’ responses. National Park Service, junio de 2022. http://dx.doi.org/10.36967/nrr-2293614.
Baron, Lisa, William Vervaeke y M. Gregory. Monitoring coastal wetland elevation in Southeast Coast Network parks: Protocol implementation plan. National Park Service, 2023. http://dx.doi.org/10.36967/2301244.
Consumer Insights Tracker Report March 2022 - March 2023. Food Standards Agency, junio de 2023. http://dx.doi.org/10.46756/sci.fsa.her886.