Academic literature on the topic 'STREAMING SITES'
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Journal articles on the topic "STREAMING SITES"
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Chowdhury, Sugnik Roy. "Twitter Data Analysis by Live Streaming." Journal of Computational and Theoretical Nanoscience 16, no. 8 (August 1, 2019): 3178–82. http://dx.doi.org/10.1166/jctn.2019.8156.
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Streaming now a days have been of great use when comes to Social Media. Streaming of data have made it easy for Companies to understand the pros and cons of their product. Streaming acts as a survey now a days which a few years ago were done by a team of individual using pen and papers. In order to collect and process the streaming data from various streaming sites to produce an analytical report that helps to get a clear pictorial representation of events, the assets of streaming process generates a huge volume of real time data mainly referred to as “Big Data.” In order to aggregate, store and analyses the streaming data that are being generated Day-By-Day we get into the concept of Hadoop and Flume Technologies, API that helps to collect data from Twitter/other streaming sites by using “#” tag/Keywords. Tweets by the News channel and retweets by the public are being collected.
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Almatarneh, Feras Mohammed. "Investigating the Network Characteristics of Two Popular Web-Based Video Streaming Sites." European Scientific Journal, ESJ 13, no. 33 (November 30, 2017): 305. http://dx.doi.org/10.19044/esj.2017.v13n33p305.
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The determinants of the strategies to be employed by video streaming sites are application (mobile devices or web browsers) and container of the video application. They affect video streaming network characteristics, which is often the traffic flow, and its quality. It is against this background that studies on streaming strategies suggested the need to investigate and identify the relationship between buffer time, video stream protocol, packet speed and size, upload time, and waiting period, specifically to aid network administrative support in case of network traffic bottlenecks. In view of this, this study investigates the network characteristics of YouTube and Vimeo, using experimental methodology, and involving WireShark as network analyzer. Google Chrome and Firefox are the web browsers employed, while packet size, protocols, packet interval, TCP window size and accumulation ratio are the metrics. Short ON-OFF, Long ON-OFF, and No ON-OFF cycles are the three streaming strategies identified. It is further shown that both Vimeo and YouTube employ these strategies but the choice depends on the container of the video streamed.
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Kitamura, Masahiko, Daisuke Shirai, Kunitake Kaneko, Takahiro Murooka, Tomoko Sawabe, Tatsuya Fujii, and Atsushi Takahara. "Beyond 4K: 8K 60p live video streaming to multiple sites." Future Generation Computer Systems 27, no. 7 (July 2011): 952–59. http://dx.doi.org/10.1016/j.future.2010.11.025.
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Mai, Thoai Diem Phuong, Anh Tho To, Thi Hong Minh Trinh, Thi Thoa Nguyen, and Thi Thanh Trang Le. "Para-Social Interaction and Trust in Live-Streaming Sellers." Emerging Science Journal 7, no. 3 (May 3, 2023): 744–54. http://dx.doi.org/10.28991/esj-2023-07-03-06.
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Live streaming is one of the modern methods that allows sellers to create, transmit, or broadcast some content on the internet in real-time, and it has been used by many small individual merchants. Understanding how live streaming contributes to online consumption is becoming increasingly important in social commerce as the live-streaming industry has grown more and more popular. However, the number of studies on live streaming is still quite limited in Vietnam. Therefore, this research will look at the mechanism that enables live streaming to boost customer trust in streamers. Using PLS-SEM on a sample of 360 respondents who viewed selling live streams on social network sites in Vietnam, we discovered that other members' endorsement, value similarity, hedonic value, and utilitarian value contribute to good para-social interaction. Next, utilitarian and hedonic values, streamer product expertise, and para-social interaction all positively affect trust in the streamers. The findings could help live-streaming sellers better understand their social interactions with viewers, resulting in increased customer trust. Doi: 10.28991/ESJ-2023-07-03-06 Full Text: PDF
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Hamilton, Robert. "YouTube For Two: Online Video Resources In A Student-Centered, Task-Based ESL/EFL Environment." Contemporary Issues in Education Research (CIER) 3, no. 8 (November 9, 2010): 27. http://dx.doi.org/10.19030/cier.v3i8.224.
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Online technology and streaming video have the potential to generate tremendous interest and motivation in ESL/EFL students. Unfortunately, as the basis for a task-based language teaching (TBLT) program, such technology often places students in a passive position and limits inter-student communication. This paper describes a successful TBLT course at Tokyo’s Meiji University, and explores some of the methodology for exploiting the motivational potential of streaming video sites, while ensuring that students use the target language both productively and receptively.
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Blacklock, J. Bob, Donald C. Wright, Robert L. Dedrick, Ronald G. Blasberg, Robert J. Lutz, John L. Doppman, and Edward H. Oldfield. "Drug streaming during intra-arterial chemotherapy." Journal of Neurosurgery 64, no. 2 (February 1986): 284–91. http://dx.doi.org/10.3171/jns.1986.64.2.0284.
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✓ Treatment of brain tumors by intra-arterial (IA) chemotherapy is occasionally complicated by sites of focal toxicity in the brain and retina. A possible cause of focal toxicity is non-uniform drug delivery due to intravascular drug streaming. To investigate this phenomenon in vivo, the authors examined the distribution of drug delivery after internal carotid artery (ICA) infusion in rhesus monkeys. Carbon-14 (14C)-labeled iodoantipyrine was delivered into the ICA of eight monkeys at slow infusion rates (1% to 2% of ICA flow) or at fast infusion rates (20% of ICA flow) combined with additional techniques to promote mixing with ICA blood. Two monkeys received intravenous (IV) 14C-antipyrine. Uniformity of delivery was assessed by comparing high-to-low ratios of isotope concentration in four brain regions evaluated by quantitative autoradiography. There was striking non-uniformity of drug delivery in the slow IA infusion group, with as much as 13-fold differences in drug concentration in anatomically contiguous areas. The values of high-to-low concentration ratios (mean ± standard deviation) in individual autoradiographic planes were: 1) frontoparietal cortex: slow IA infusion 4.54 ± 2.07, fast IA infusion 1.71 ± 0.31, IV infusion 1.30 ± 0.174; 2) frontoparietal white matter: slow IA infusion 2.94 ± 1.45, fast IA infusion 1.59 ± 0.41, IV infusion 1.34 ± 0.21; 3) temporal cortex: slow IA infusion 5.43 ± 3.57, fast IA infusion 1.69 ± 0.24, IV infusion 1.67 ± 0.25; 4) basal ganglia: slow IA infusion 3.6 ± 2.9, fast IA infusion 1.18 ± 0.10, IV infusion 1.09 ± 0.04. Differences between concentration ratios after slow IA and fast IA infusion are significant (p < 0.01); those between fast IA and IV infusion are not significant. Intra-arterial drug administration at infusion rates analogous to those currently used clinically results in drug streaming with markedly heterogeneous drug deposition in the perfused hemisphere. This may cause suboptimal drug levels in the tumor, and toxic levels at sites within the perfused hemisphere. This effect can be abrogated by techniques that eliminate drug streaming.
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Druschke, Maik, Anna T. P. Schauer, Simon C. O. Glover, and Ralf S. Klessen. "Shape and spin of minihaloes – II. The effect of streaming velocities." Monthly Notices of the Royal Astronomical Society 498, no. 4 (August 29, 2020): 4839–52. http://dx.doi.org/10.1093/mnras/staa2605.
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ABSTRACT Models of the decoupling of baryons and photons during the recombination epoch predict the existence of a large-scale velocity offset between baryons and dark matter at later times, the so-called streaming velocity. In this paper, we use high resolution numerical simulations to investigate the impact of this streaming velocity on the spin and shape distributions of high-redshift minihaloes, the formation sites of the earliest generation of stars. We find that the presence of a streaming velocity has a negligible effect on the spin and shape of the dark matter component of the minihaloes. However, it strongly affects the behaviour of the gas component. The most probable spin parameter increases from ∼0.03 in the absence of streaming to ∼0.15 for a run with a streaming velocity of three times σrms, corresponding to 1.4 km s−1 at redshift z = 15. The gas within the minihaloes becomes increasingly less spherical and more oblate as the streaming velocity increases, with dense clumps being found at larger distances from the halo centre. The impact of the streaming velocity is also mass-dependent: less massive objects are influenced more strongly, on account of their shallower potential wells. The number of haloes in which gas cooling and runaway gravitational collapse occurs decreases substantially as the streaming velocity increases. However, the spin and shape distributions of gas that does manage to cool and collapse are insensitive to the value of the streaming velocity and we therefore do not expect the properties of the stars that formed from this collapsed gas to depend on the value of the streaming velocity. The spin and shape of this central gas clump are uncorrelated with the same properties measured on the scale of the halo as a whole.
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Moreno-García, María N. "Information Retrieval and Social Media Mining." Information 11, no. 12 (December 11, 2020): 578. http://dx.doi.org/10.3390/info11120578.
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The large amount of digital content available through web sites, social networks, streaming services, and other distribution media, allows more and more people to access virtually unlimited sources of information, products, and services [...]
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Gondara, Lovedeep, and Ke Wang. "PubSub-ML: A Model Streaming Alternative to Federated Learning." Proceedings on Privacy Enhancing Technologies 2023, no. 2 (April 2023): 464–79. http://dx.doi.org/10.56553/popets-2023-0063.
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Federated learning is a decentralized learning framework where participating sites are engaged in a tight collaboration, forcing them into symmetric sharing and the agreement in terms of data samples, feature spaces, model types and architectures, privacy settings, and training processes. We propose PubSub-ML, Publish-Subscribe for Machine Learning, as a solution in a loose collaboration setting where each site maintains local autonomy on these decisions. In PubSub-ML, each site is either a publisher or a subscriber or both. The publishers publish differentially private machine learning models and the subscribers subscribe to published models in order to construct customized models for local use, essentially benefiting from other sites' data by distilling knowledge from publishers' models while respecting data privacy. The term “model streaming” comes from the extension of PubSub-ML to decentralized data streams with concept drift. Our extensive empirical evaluation shows that PubSub-ML outperforms federated learning methods by a significant margin.
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Nair, Lekha R., Sujala D. Shetty, and Siddhant Deepak Shetty. "Streaming Big Data Analysis for Real-Time Sentiment based Targeted Advertising." International Journal of Electrical and Computer Engineering (IJECE) 7, no. 1 (February 1, 2017): 402. http://dx.doi.org/10.11591/ijece.v7i1.pp402-407.
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Big Data constituting from the information shared in the various social network sites have great relevance for research to be applied in diverse fields like marketing, politics, health or disaster management. Social network sites like Facebook and Twitter are now extensively used for conducting business, marketing products and services and collecting opinions and feedbacks regarding the same. Since data gathered from these sites regarding a product/brand are up-to-date and are mostly supplied voluntarily, it tends to be more realistic, massive and reflects the general public opinion. Its analysis on real time can lead to accurate insights and responding to the results sooner is undoubtedly advantageous than responding later. In this paper, a cloud based system for real time targeted advertising based on tweet sentiment analysis is designed and implemented using the big data processing engine Apache Spark, utilizing its streaming library. Application is meant to promote cross selling and provide better customer support.
Dissertations / Theses on the topic "STREAMING SITES"
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Shuai, Yongtao [Verfasser], and Thorsten [Akademischer Betreuer] Herfet. "Dynamic adaptive video streaming with minimal buffer sizes / Yongtao Shuai ; Betreuer: Thorsten Herfet." Saarbrücken : Saarländische Universitäts- und Landesbibliothek, 2018. http://d-nb.info/1169132545/34.
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Khokhar, Muhammad Jawad. "Modélisation de la qualité d'expérience de la vidéo streaming dans l'internet par expérimentation contrôlée et apprentissage machine." Thesis, Université Côte d'Azur (ComUE), 2019. http://www.theses.fr/2019AZUR4067.
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Le streaming vidéo est l'élément dominant au trafic Internet actuel. En conséquence, l'estimation de la qualité d'expérience (QoE) pour le streaming vidéo est de plus en plus importante pour les opérateurs réseau. La qualité d'expérience (QoE) de la diffusion vidéo sur Internet est directement liée aux conditions du réseau (par exemple, bande passante, délai) également appelée qualité de service (QoS). Cette relation entre QoS et QoE motive l'utilisation de l'apprentissage automatique supervisé pour établir des modèles reliant QoS à QoE. La QoS du réseau peut être mesurée activement en dehors du plan de données de l'application (outband) ou de manière passive à partir du trafic vidéo (inband). Ces deux types de qualité de service correspondent à deux scénarios d'utilisation différents : la prévision et la surveillance. Dans cette thèse, nous examinons les défis associés à la modélisation de la QoE à partir de la QoS réseau, à savoir 1) le coût élevé de la phase expérimentale, et 2) la considération de la grande diversité du contenu vidéo et du chiffrement déployé. Premièrement, la modélisation de la QoE par expérimentation contrôlée constitue un défi, les dimensions d'espace d'expérimentations ainsi que le temps non négligeable de chaque expérience rend cette modélisation plus complexe. L'approche classique consiste à expérimenter avec des échantillons (de qualité de service), échantillonnés de manière uniforme dans tout l'espace expérimental. Cependant, un échantillonnage uniforme peut entraîner une similarité significative au niveau des labels, ce qui entraine une augmentation du coût sans gain en précision du modèle. Pour résoudre ce problème, nous recommandons d'utiliser apprentissage actif pour réduire le nombre d'expériences sans affecter la précision. Nous examinons le cas de la modélisation QoE sur YouTube et montrons que l'échantillonnage actif fournit un gain significatif par rapport à l'échantillonnage uniforme en termes d'augmentation de la précision de la modélisation en moins d'expériences. Nous évaluons ensuite notre approche avec des ensembles de données synthétiques et montrons que le gain dépend de la complexité de l'espace expérimental. Dans l'ensemble, nous présentons une approche générale d'échantillonnage qui peut être utilisée dans n'importe quel scénario de modélisation QoS-QoE, à condition que la fonctionnalité de QoS en entrée soit entièrement contrôlable. Deuxièmement, prévoir la qualité de l'expérience de la vidéo avec précision s'avère difficile, d'une part les vidéos des fournisseurs de contenu actuels varient énormément, des vidéos sportives rapides aux vidéos éducatives statiques. De plus, le trafic vidéo actuel est crypté, ce qui signifie que les opérateurs de réseau ont une visibilité réduite sur le trafic vidéo, ce qui rend la surveillance de la QoE plus complexe. Face à ces défis, nous développons des modèles afin de prévoir ainsi que surveiller avec précision la qualité de l'expérience vidéo. Pour le scénario de prévision QoE, nous construisons un indicateur QoE appelé YouScore qui prédit le pourcentage de vidéos pouvant être lues sans interruption en fonction de l'état du réseau sous-jacent. En ce qui concerne la surveillance QoE, nous estimons la QoE à l'aide des fonctionnalités de qualité de service inband obtenues à partir du trafic vidéo crypté. En conclusion, pour les deux scénarios (prévision et surveillance), nous soulignons l'importance d'utiliser des fonctionnalités qui caractérisent le contenu vidéo afin de pouvoir améliorer la précision des modèlesVideo streaming is the dominant contributor of today's Internet traffic. Consequently, estimating Quality of Experience (QoE) for video streaming is of paramount importance for network operators. The QoE of video streaming is directly dependent on the network conditions (e.g., bandwidth, delay, packet loss rate) referred to as the network Quality of Service (QoS). This inherent relationship between the QoS and the QoE motivates the use of supervised Machine Learning (ML) to build models that map the network QoS to the video QoE. In most ML works on QoE modeling, the training data is usually gathered in the wild by crowdsourcing or generated inside the service provider networks. However, such data is not easily accessible to the general research community. Consequently, the training data if not available beforehand, needs to be built up by controlled experimentation. Here, the target application is run under emulated network environments to build models that predict video QoE from network QoS. The network QoS can be actively measured outside the data plane of the application (outband), or measured passively from the video traffic (inband). These two distinct types of QoS correspond to the use cases of QoE forecasting (from end user devices) and QoE monitoring (from within the networks). In this thesis, we consider the challenges associated with network QoS-QoE modeling, which are 1) the large training cost of QoE modeling by controlled experimentation, and 2) the accurate prediction of QoE considering the large diversity of video contents and the encryption deployed by today's content providers. Firstly, QoE modeling by controlled experimentation is challenging due to the high training cost involved as each experiment usually consumes some non-negligible time to complete and the experimental space to cover is large (power the number of QoS features). The conventional approach is to experiment with QoS samples uniformly sampled in the entire experimental space. However, uniform sampling can result in significant similarity in the output labels, which increases the training cost while not providing much gain in the model accuracy. To tackle this problem, we advocate the use of active learning to reduce the number of experiments while not impacting accuracy. We consider the case of YouTube QoE modeling and show that active sampling provides a significant gain over uniform sampling in terms of achieving higher modeling accuracy with fewer experiments. We further evaluate our approach with synthetic datasets and show that the gain is dependent on the complexity of the experimental space. Overall, we present a sampling approach that is general and can be used in any QoSQoE modeling scenario provided that the input QoS features are fully controllable. Secondly, accurate prediction of QoE of video streaming can be challenging as videos offered by today's content providers vary significantly from fast motion sports videos to static lectures. On top of that, today's video traffic is encrypted, which means that network operators have little visibility into the video traffic making QoE monitoring difficult. Considering these challenges, we devise models that aim at accurate forecasting and monitoring of video QoE. For the scenario of QoE forecasting, we build a QoE indicator called YouScore that quantifies the percentage of videos in the catalog of a content provider that may play out smoothly (without interruptions) for a given outband network QoS. For the QoE monitoring scenario, we estimate the QoE using the inband QoS features obtained from the encrypted video traffic. Overall, for both scenarios (forecasting and monitoring), we highlight the importance of using features that characterize the video content to improve the accuracy of QoE modeling
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PRAGYA. "ASSESSING THE POTENTIAL OF OTT PLATFORMS DURING THE PANDEMIC." Thesis, 2022. http://dspace.dtu.ac.in:8080/jspui/handle/repository/19696.
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People used to watch television when there were just a few channels and options to choose
from. People also couldn't watch films and television shows according to their own
preference or convenience as they had to stick to the program's scheduling. You weren't
provided with the opportunity to re-watch the slot if you missed it. There were occasions
when we would look in the newspaper for the channel's telecasting schedule. However,
with the advent of OTT services, everything got simple, and users were able to stream
anything they wanted, whenever they wanted. People might alter their entertainment
schedules to fit their work schedules because to OTT.
When people were trapped at home due to the epidemic and the box office was shut down
by Covid-19, Streaming sites came to Bollywood's rescue. During the lockdown, several
on-demand movie streaming platforms noticed a surge in new users. Some platforms have
kept up with the pace even after the lockdown was lifted.
In this study, I'll look at how OTT platforms grew in popularity during the epidemic. This
study will be carried out with the assistance of interviewers from various viewers. It's
evident that since their introduction, OTT platforms have only grown in popularity and
usage. People's consumption patterns have changed as a result of the pandemic, resulting
in a major surge in their popularity.
The aim of this study is to look into the growth of OTT services during the epidemic. To
understand the future potential of OTT platforms, it is necessary to understand the level
to which their popularity grew during the pandemic. True, all such OTT platforms have
only grown in popularity and usage since their launch, but the pandemic has resulted in a
significant boost in their popularity due to the shift in people's consumption patterns.
This study conducted a survey and interviewed three people to assess their views on OTT
platforms, consumption patterns, and comparisons to cinema to evaluate if OTT platforms
were gradually displacing the most popular traditional entertainment medium. People used
OTT more than any other platform, according to research. The majority of them had
noticed a rise in the amount of hours they spent on OTT services and were anticipating
movies being launched on OTT at the same time as they were in theatres. People were
also content to see films on OTT rather than in the theatre. However, for some, it was
determined by the film. This study revealed that OTT platforms have a lot of room to
grow.
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Caetano, Miguel Afonso. "Cultura P2P: uma análise sociológica comparativa das redes e dos sites de partilha online de músicas, filmes e livros eletrónicos em Portugal e no Brasil." Doctoral thesis, 2016. http://hdl.handle.net/10071/12456.
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Esta tese tem como principal objetivo ajudar a preencher o défice de pesquisa teórico-empírica
com origem nos países lusófonos em torno do confronto aparente entre os direitos dos utilizadores de
Internet e a aplicação dos direitos de propriedade intelectual. Recorrendo a um olhar interdisciplinar
(comunicacional, sociológico, económico e jurídico), visa colocar em relevo o novo papel dos
utilizadores de obras culturais enquanto distribuidores proporcionado pelas plataformas informais
paralelas aos circuitos legais de distribuição.
A primeira parte, de cariz teórico, inicia-se com uma genealogia histórica dos conceitos de
pirataria, direito de autor, copyright e propriedade intelectual para prosseguir com uma exposição dos
fundamentos para uma crítica da economia política da informação, seguindo-se um retrato da evolução
tecnológica e comercial da partilha de ficheiros ao longo da última década e meia. Quase a terminar,
encontra-se um resumo da literatura mais relevante sobre a relação entre vendas e cópias não
autorizadas de bens informacionais, assim como uma apresentação dos principais resultados de
centenas de estudos quantitativos incidindo nos comportamentos dos utilizadores e nas motivações que
os levam a descarregar obras protegidas por direitos de autor. Por fim, procede-se a uma análise
comparativa de um conjunto de indicadores estatísticos relativos aos níveis de penetração das TICs em
Portugal e no Brasil e às atividades online dos utilizadores de Internet de ambos os países.
A segunda parte consiste numa análise empírica dos comportamentos e perceções dos
utilizadores portugueses e brasileiros de redes peer-to-peer (P2P) e sites que permitem efetuar cópias
não autorizadas de obras protegidas por direitos de autor. Para tal, irei socorrer-me das respostas de
301 indivíduos de ambas as nacionalidades a um inquérito online bem como nas declarações
posteriores de 16 desses inquiridos recolhidas por entrevista online.
Com esta pesquisa pretende-se demonstrar que, longe de ser uma mera falha de mercado, a
partilha é antes uma dimensão fundamental da cultura (Aigrain 2011). Visto deste prisma, as
limitações da perspetiva economicista da contabilização dos eventuais prejuízos tornam-se evidentesThis thesis has for its main goal to help fill the gap of theoretical and empirical research originating from Portuguese-speaking countries concerning the apparent clash between the rights of Internet users and the enforcement of intellectual property laws. By way of an interdisciplinary lens gathering contributions from communication science, sociology, economics and law, it intends to shed light on the new role of users of cultural works as distributors – a role amplified by informal platforms parallel to formal distribution circuits. The first part, of a theoretical nature, starts with a historical genealogy of concepts such as piracy, copyright, droit d’auteur and intellectual property, followed by a presentation of the technological and commercial evolution of file sharing over the past decade and a half. Next comes an overview of the most relevant literature on the relationship between sales and unauthorized copies of information goods, as well as a synthesis of the main results of hundreds of quantitative studies covering the behaviors of filesharers and their motives for downloading copyrighted works. Finally, this part ends with a comparative analysis of a set of statistical indicators regarding the penetration levels of ICTs in Portugal and Brazil as well as on the most popular online activities of Internet users in both countries. The second part comprises an empirical analysis of the behaviors and perceptions of Portuguese and Brazilian users of peer-to-peer (P2P) networks and sites enabling the unauthorized copying of copyrighted works. The analysis will be based on the answers of 301 individuals of both nationalities to an online survey, as well as on the subsequent statements made by 16 of these respondents in the context of a series of online interviews. With this research, it is my aim to show that, rather than being only a market failure, sharing is instead a fundamental dimension of culture (Aigrain 2011) Seen in this light, the constraints of an economic perspective exclusively aimed at measuring any possible losses become evident.
Books on the topic "STREAMING SITES"
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Alvear, Jose. Web developer.com guide to streaming multimedia. New York: Wiley, 1998.
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United States. Congress. House. Committee on the Judiciary. Subcommittee on Intellectual Property, Competition, and the Internet. Promoting investment and protecting commerce online: Legitimate sites v. parasites. Washington: U.S. G.P.O., 2013.
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HTML5 multimedia: Develop and design. Berkeley, Calif: Peachpit Press, 2012.
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United States. Environmental Protection Agency. Office of Solid Waste and Emergency Response and Brownfields Technology Support Center (U.S.), eds. Using the triad approach to streamline brownfields site assessment and cleanup. Washington, DC: U.S. Environmental Protection Agency, Office of Solid Waste and Emergency Response, Brownfields Technology Support Center, 2003.
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United States. Environmental Protection Agency. Office of Solid Waste and Emergency Response. and Brownfields Technology Support Center (U.S.), eds. Using the triad approach to streamline brownfields site assessment and cleanup. Washington, DC: U.S. Environmental Protection Agency, Office of Solid Waste and Emergency Response, Brownfields Technology Support Center, 2003.
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Mastering internet video: A guide to streaming and on-demand video. Boston: Addison-Wesley, 2005.
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Streaming and digital media: Understanding the business and technology. Burlington, MA, USA: Focal Press, 2007.
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Department of Energy: Additional opportunities exist to streamline support functions at NNSA and Office of Science sites : report to congressional requesters. Washington, D.C.]: U.S. Govt. Accountability Office, 2012.
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Ferrate, Andres. Building web apps for Google TV. Sebastopol, CA: O'Reilly Media, 2011.
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Scalable video on demand: Adaptive Internet-based distribution. Hoboken, NJ: J. Wiley & Sons, 2005.
Find full textBook chapters on the topic "STREAMING SITES"
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Furukawa, Gavin. "The Widening Road: Constructions of Gay Japanese Men on YouTube." In Gender in Japanese Popular Culture, 151–74. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-12942-1_6.
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AbstractThis chapter examines the discourses found in Japanese gay vlog entries to see how such streaming contents are used as sites of contact between gays and straights in Japan. Early internet sites created safe public spaces for sexual minority members to meet and socialize where straights previously seldom had access or were expressly unwelcome. Using a collection of coming out and Q and A videos, the chapter will also explore the use of vlogging discourse for social change in Japan. More recently, sites like YouTube have created new contact spaces where straights are welcomed and can interact with gay content creators more directly. This chapter analyzes the ways in which Japanese gay men construct themselves as well as other gay and straight people around them in these videos. Utilizing membership categorization and indexicality the analysis will show how notions of family and gayness along with associated bound predicates are used to discursively resist heteronormativity. The discourse also shows how these videos focus on the purposes of informing and educating over phatic communication. The analysis will also demonstrate how the concept of internationalization has become semiotically relevant to the gay Japanese male category, constructing an image of masculine interculturality, contrasted against overly feminine mass-mediated stereotypes. Possibilities for further change and social justice in Japan through such sites of contact will also be discussed.
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Liu, Chuang, Sujie Shao, Shaoyong Guo, and Xuesong Qiu. "WebRTC-Based On-Site Operation and Maintenance Adaptive Video Streaming Rate Control Strategy." In Security with Intelligent Computing and Big-data Services, 292–303. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-16946-6_23.
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Zhang, Chi, and Xiaojie Wang. "On-Site Dance Teaching Live Broadcast System Based on Internet Streaming Media Technology." In Cyber Security Intelligence and Analytics, 457–63. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-97874-7_59.
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Nawaz, Shahid, Asad Waqar Malik, and Raihan ur Rasool. "Ceaseless Virtual Appliance Streaming." In Advances in Data Mining and Database Management, 70–84. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-9767-6.ch005.
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Cloud computing is modus operandi of manipulating server clusters hosted at secluded sites on Internet for storage, processing, and retrieval of data. It tenders suppleness, disaster recovery, competitiveness, and cutback in capital and operational cost for ventures, principally small and medium ones, which hold meager resource base. Virtualization at plinth of cloud computing sanctions utilizing physical hardware stratum to frame and administer virtualized infrastructure, storage areas, and network interfaces. Virtual machines, administered on clouds to seize inherent advantages of virtualization, are fabricated on storage area networks (Armbrust et al., 2009). But whenever user endeavors to access them from remote location it resulted in hundreds of megabytes of data reads and ensuing congestion in network. Question is how to instigate virtual machines and load their applications in minimal time. The ingenious Ceaseless Virtual Appliance Streaming system assures virtual machine's streaming just like video on demand. It trims down burden over existing resources and offers improved network utilization.
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Sendhilvel, Lavanya, Kush Diwakar Desai, Simran Adake, Rachit Bisaria, and Hemang Ghanshyambhai Vekariya. "Twitter Data Analysis Using Apache Streaming." In Convergence of Big Data Technologies and Computational Intelligent Techniques, 61–75. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-6684-5264-6.ch002.
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Real-time data from social network sites like Twitter or Facebook has been a popular source for analytics and researchers in the recent years due to various factors like large amount of data, structured-ness, and popularity. Analyzing data is a very common requirement today, but such requirements become difficult when there is a bulk of data which needs to processed and analyzed in real time. Analyzing large number of tweets from Twitter to get different patterns and extract useful information is a massive challenge. Apache Spark is a platform that can be used to handle big data efficiently, and it offers faster solutions compared to Hadoop. This chapter addresses the issue of real-time analyzing and filtering the tweets as per the user's requirements from among the millions of other streaming tweets and classifies them into various categories. It creates an interactive automatic system that splits data based on important keywords and displays a graphical representation of connected tweets using Apache Spark.
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Stewart, Jennifer. "Could Television Streaming Sites Lead the Charge for Film-Induced Tourism Post COVID?" In Global Perspectives on Literary Tourism and Film-Induced Tourism, 217–39. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-7998-8262-6.ch012.
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By focusing on television film-induced tourists, this chapter will contribute to a better understanding of tourist behaviour in relation to motivations for travel to filming locations. The chapter combines, analyses, and critiques the main debates raised by key authors in relation to identifying the motivational factors that prompt site-specific film tourism as well as providing contributions from this author's 2016 research on television film-induced tourism in Ireland. The chapter is divided into the following sections: a brief history of film and television and a review and discussion on film tourism, a breakdown of the different categories of film tourist and a summation of the various motivations for television induced film tourism, followed by an insight into the concept of authenticity in film tourism studies and the use of technologies such as virtual reality and augmented reality as a means to provide a more immersive experience post COVID-19.
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Skondras, Emmanouil, Konstantina Siountri, Angelos Michalas, and Dimitrios D. Vergados. "Personalized Real-Time Virtual Tours in Places With Cultural Interest." In Destination Management and Marketing, 802–20. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-2469-5.ch044.
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Virtual tours using drones enhance the experience the users perceive from a place with cultural interest. Drones equipped with 360o cameras perform real-time video streaming of the cultural sites. The user preferences about each monument type should be considered in order to decide the appropriate flying route for the drone. This article describes a scheme for supporting personalized real-time virtual tours at sites with cultural interest using drones. The user preferences are modeled using the MPEG-21 and the MPEG-7 standards, while Web Ontology Language (OWL) ontologies are used for metadata structure and semantics. The Metadata-Aware Analytic Network Process (MANP) algorithm is proposed in order to weigh the user preferences for each monument type. Subsequently, the Trapezoidal Fuzzy Topsis for Heritage Route Selection (TFT-HRS) algorithm ranks the candidate heritage routes. Finally, after each virtual tour, the user preferences metadata are updated in order in order the scheme to continuously learn about the user preferences.
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Ebara, Yasuo. "Tele-Immersive Collaborative Environment with Tiled Display Wall." In E-Activity and Intelligent Web Construction, 75–84. IGI Global, 2011. http://dx.doi.org/10.4018/978-1-61520-871-5.ch007.
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In intellectual collaborative works with participants between remote sites via WAN, CSCW have been used as general communication tools. Especially, the sharing of various, high-quality digital contents such as various materials, computer graphics or visualization contents, and video streaming by between remote places is important to recognize or analyze to easily refer to these contents. However, the image magnification by general projector and large-sized display equipment is low-resolution, and sufficient quality of contents is not obtained. In this research, the author has constructed a tele-immersive collaborative environment with a tiled display wall. In this environment, the author has implemented an application to display high-resolution real video streaming on a tiled display wall in remote place. By using the application, the author displayed the clear video image of remote place over a wide range. Then, the author conducted experimental verification on the effect for eye-to-eye contact by changing the position of camera on frame of LCDs on tiled display wall, and has collected a lot of knowledge. Moreover, the author has tried realistic display processing of high-resolution astronomical observation image and movie data, and it has enabled observation of the entire image of observation data all over tiled display wall.
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Akgun, Ozgur. "The Role of New Media in Contemporary Entertainment Culture." In Advances in Media, Entertainment, and the Arts, 542–57. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-6190-5.ch029.
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New media technologies have become an important part of our everyday lives and are predominantly shaping our perceptions. Increased usage of Internet has changed every aspect of our everyday lives. Other new media technologies make the impact of this change even more intense. This chapter provides a review of the academic and popular literature on the relationship between new media and contemporary entertainment practices. It investigates the new tools and ways (such as social networking sites, online retail environments, and online video streaming options) utilized to communicate and entertain. These environments are dynamic, intercultural, and allow for instant information sharing. This chapter focuses on how these environments are alternative to traditional communication contexts and how the new media shapes the entertainment culture.
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Sharma, Sunil, and Minakshi Sharma. "Applications of Deep Learning-Based Product Recommendation Systems." In Advances in Web Technologies and Engineering, 89–104. IGI Global, 2023. http://dx.doi.org/10.4018/978-1-6684-8306-0.ch006.
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The high-tech world we live in today is dominated by multimedia. Multimedia is being created at a rapid rate in the current technological era. Consumption and the exchange of the same between users happen quickly. Choosing whatever form of content or multimedia to consume next depending on interests and preferences is a conundrum while consuming this content. Nowadays, all online streaming sites utilize multimedia recommender systems. These are utilized to anticipate the following collection of multimedia that users can enjoy based on their prior usage patterns. By identifying the points of commonality between the user and the goods, preexisting models can forecast this utilizing the collaborative field. By treating this as a sequence prediction problem, the proposed model in this chapter increases the predicted accuracy using collaborative filtering (CF), ripple nets, deep learning, and recurrent neural networks (RNNs).
Conference papers on the topic "STREAMING SITES"
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Utami, Paramita Retno, Riyanto Fitri Setiyono, Dina Fitria Murad, and Sunardi. "User Experience and Service Quality (SERVQUAL) Influence on Customer Loyalty of Video Streaming Sites Visitors." In 2023 8th International Conference on Business and Industrial Research (ICBIR). IEEE, 2023. http://dx.doi.org/10.1109/icbir57571.2023.10147446.
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Lučić, Sonja. "VIDEO STRIMING USLUGE I AUTORSKO PRAVO." In XIX majsko savetovanje. University of Kragujevac, Faculty of Law, 2023. http://dx.doi.org/10.46793/xixmajsko.375l.
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The Internet plays an important role in private and professional life. The so- called "streaming" has appeared in the entertainment sector in recent years, which brings numerous advantages, especially for users. Namely, films and series no longer have to be watched only on television. The Internet offers numerous portals that allow users to watch movies and series wherever and whenever they want. However, streaming creates a number of problems for authors, as there are many streaming portals that offer film and music works online without their consent. There is no doubt that the operators of such sites are infringing copyright. But what about users who just watch these illegal movies and series? The answer to this question was given by the Court of Justice of the EU in case C-527/15. In its ruling, the court pointed out that the streaming of films offered on the Internet without the consent of the copyright holder is not covered by the restriction on temporary reproductions, provided that the users knew that the work was made available on the Internet without authorization or this was clearly recognizable to them. This interpretation of copyright restrictions on temporary reproductions favors copyright holders. On the other hand, the requirement of "obviousness" partially protects the interests of users so that they do not have to fear potential copyright infringements every time they watch a movie on the Internet.
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Babaei, Hadi, and Kamran Siddiqui. "Investigation of Streaming Flow Patterns in a Thermoacoustic Device Using PIV." In ASME 2010 3rd Joint US-European Fluids Engineering Summer Meeting collocated with 8th International Conference on Nanochannels, Microchannels, and Minichannels. ASMEDC, 2010. http://dx.doi.org/10.1115/fedsm-icnmm2010-30798.
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We report on an experimental study conducted to study the streaming velocity fields in the vicinity of the stack in a thermoacoustic device. Synchronized Particle Image Velocimetry (PIV) technique was used to measure the two-dimensional streaming velocity fields. The streaming velocity fields were measured at both sides of the porous stack over a range of pressure amplitudes (drive ratios). The results show that the streaming flow structure is significantly different on hot and cold sides of the stack. The hot side of the stack experienced higher magnitudes and higher spatial variability of the streaming velocities compared to the cold side. The difference in the velocity magnitude between the hot and cold sides of the stack showed a significant increase with an increase in the drive ratio.
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Groppe, Sven, Jinghua Groppe, Dirk Kukulenz, and Volker Linnemann. "A SPARQL Engine for Streaming RDF Data." In 2007 Third International IEEE Conference on Signal-Image Technologies and Internet-Based System SITIS. IEEE, 2007. http://dx.doi.org/10.1109/sitis.2007.22.
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Paya, A., and D. C. Marinescu. "A Cloud Service for Adaptive Digital Music Streaming." In 2012 Eighth International Conference on Signal-Image Technology & Internet-Based Systems (SITIS 2012). IEEE, 2012. http://dx.doi.org/10.1109/sitis.2012.135.
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Ichibane, Yacine, Youssef Gahi, Zouhair Guennoun, and Mouhcine Guennoun. "Private Video Streaming Service Using Leveled Somewhat Homomorphic Encryption." In 2014 Tenth International Conference on Signal-Image Technology & Internet-Based Systems (SITIS). IEEE, 2014. http://dx.doi.org/10.1109/sitis.2014.61.
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Orlando, Dominick, and Claudia M. Craig. "Status of the NRC Decommissioning Program." In ASME 2003 9th International Conference on Radioactive Waste Management and Environmental Remediation. ASMEDC, 2003. http://dx.doi.org/10.1115/icem2003-4671.
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On July 21, 1997, the U.S. Nuclear Regulatory Commission (NRC) published the final rule on Radiological Criteria for License Termination (the License Termination Rule or LTR) as Subpart E to 10 CFR Part 20. NRC regulations require that materials licensees submit Decommissioning Plans to support the decommissioning of its facility if it is required by license condition, or if the procedures and activities necessary to carry out the decommissioning have not been approved by NRC and these procedures could increase the potential health and safety impacts to the workers or the public. NRC regulations also require that reactor licensees submit Post-shutdown Decommissioning Activities Reports and License Termination Plans to support the decommissioning of nuclear power facilities. This paper provides an update on the status of the NRC’s decommissioning program. It discusses the staff’s current efforts to streamline the decommissioning process, current issues being faced in the decommissioning program, such as partial site release and restricted release of sites, as well as the status of the decommissioning of complex sites and those listed in the Site Decommissioning Management Plan. The paper discusses the status of permanently shut-down commercial power reactors and the transfer of complex decommissioning sites and sites listed on the SDMP to Agreement States. Finally the paper provides an update of the status of various tools and guidance the NRC is developing to assist licensees during decommissioning, including an effort to consolidate and risk-inform decommissioning guidance.
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Corallo, Angelo, Annamaria Crespino, Carla Dibiccari, Mariangela Lazoi, and Marianna Lezzi. "Processing Big Data in Streaming for Fault Prediction: An Industrial Application." In 2018 14th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS). IEEE, 2018. http://dx.doi.org/10.1109/sitis.2018.00117.
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Shrivastava, Amit, Anand Rajavat, and Rahul Deshmukh. "Predicting Number of Connections on Video Streaming Server with Machine Learning Approach." In 2017 13th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS). IEEE, 2017. http://dx.doi.org/10.1109/sitis.2017.26.
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Taraghi, Babak, Selina Zoë Haack, and Christian Timmerer. "Towards Better Quality of Experience in HTTP Adaptive Streaming." In 2022 16th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS). IEEE, 2022. http://dx.doi.org/10.1109/sitis57111.2022.00096.
Full textReports on the topic "STREAMING SITES"
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Whitaker, Stephen. Rocky intertidal community monitoring at Channel Islands National Park: 2018–19 annual report. National Park Service, August 2023. http://dx.doi.org/10.36967/2299674.
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Channel Islands National Park includes the five northern islands off the coast of southern California (San Miguel, Santa Rosa, Santa Cruz, Anacapa, and Santa Barbara Islands) and the surrounding waters out one nautical mile. There are approximately 176 miles of coastline around the islands, about 80% of which is composed of rock. The diversity and undisturbed nature of the tidepools of this rocky coastline were recognized as special features of the islands in the enabling legislation. To conserve these communities unimpaired for future generations, the National Park Service has been monitoring the rocky intertidal communities at the islands since 1982. Sites were established between 1982 and 1998. Site selection considered visitation, accessibility, presence of representative organisms, wildlife disturbance, and safety. This report summarizes the 2018–2019 sampling year efforts (from November 2018 to April 2019) and findings of the Channel Islands National Park Rocky Intertidal Community Monitoring Program. Specific monitoring objectives are 1) to determine the long-term trends in percent cover of key sessile organisms in the rocky intertidal ecosystem, and 2) to determine population dynamics of black abalone (Haliotis cracherodii), owl limpets (Lottia gigantea), and ochre sea stars (Pisaster ochraceus). Objectives were met by monitoring percent cover of core species in target intertidal zones using photoplots and transects, and by measuring size frequency and abundance of black abalone, owl limpets, and sea stars using fixed plots or timed searches. Twelve key species or assemblages, as well as the substrate, tar, have been monitored twice per year at 21 sites on the five park islands as part of the rocky intertidal community monitoring program. Fixed photoplots were used to monitor the percent cover of thatched and acorn barnacles (Tetraclita rubescens, Balanus glandula/Chthamalus spp., respectively), mussels (Mytilus californianus), rockweeds (Silvetia compressa, and Pelvetiopsis californica (formerly Hesperophycus californicus), turfweed (Endocladia muricata), goose barnacles (Pollicipes polymerus) and tar. Point-intercept transects were used to determine the percent cover of surfgrass (Phyllospadix spp.). Information about size distribution (i.e., “size frequency” data) was collected for owl limpets in circular plots. Size distribution and relative abundance of black abalone and ochre sea stars were determined using timed searches. The maximum number of shorebirds and pinnipeds seen at one time were counted at each site. The number of concession boat visitors to the Anacapa tidepools was collected and reported. All sites were monitored in 2018–2019. This was the third year that we officially reduced our sampling interval from twice per year (spring and fall) to once in order to streamline the program and allow for the implementation of additional protocols. Weather conditions during the site visits were satisfactory, but high wind coupled with strong swell and surge limited or prevented the completion of some of the abalone and sea star searches. The percent cover for most key species or assemblages targeted in the photoplots was highly variable among sites. Mussel (Mytilus californianus) cover remained below average at Anacapa and Santa Barbara Islands. Record or near record low abundances for Mytilus were measured at Middle West Anacapa (Anacapa Island), Harris Point (San Miguel Island), Prisoner’s Harbor (Santa Cruz Island), and Sea Lion Rookery (Santa Barbara Island) sites. The only site that appeared to have above average Mytilus cover was Scorpion Rock on Santa Cruz Island. All other sites had mussel cover near or below the long-term mean. Qualitatively, Mytilus recruitment appeared low at most sites. Both rockweed species, Silvetia compressa and Pelvetiopsis californica (formerly Hesperophycus californicus), continued to decrease markedly in abundance this year at the majority of sites compared to combined averages for previous years. Fossil Reef and Northwest-Talcott on Santa Rosa Island, Sea Lion Rookery on Santa Barbara Island, and South Frenchy’s Cove on Anacapa Island were the only sites that supported Silvetia cover that was near the long-term mean. No sites exhibited above average cover of rockweed. Extremely high levels of recruitment for Silvetia and Pelvetiopsis were documented at many sites. Most sites exhibited marked declines in S. compressa abundances beginning in the early 2000s, with little recovery observed for the rockweed through this year. Barnacle (Chthamalus/Balanus spp.) cover fell below the long-term means at all islands except Anacapa, where barnacle cover was slightly above average. Endocladia muricata abundances remained comparable to the grand mean calculated for previous years at Santa Barbara, Santa Cruz, and Santa Rosa Islands, while cover of the alga decreased slightly below the long-term means at Anacapa and San Miguel Islands. Black abalone (Haliotis cracherodii) abundances at the islands remain less than one percent of 1985 population levels. Zero abalone were found throughout the entire site at Landing Cove on Santa Barbara Island and South Frenchy’s Cove on Anacapa Island. Above average abundances relative to the long-term mean generated from post-1995 data were observed at all but five sites. Juvenile black abalone were seen at all islands except Santa Barbara. Ochre sea star (Pisaster ochraceus) populations crashed in 2014 at all monitoring sites due to Sea Star Wasting Syndrome, an illness characterized by a suite of symptoms that generally result in death. The mortality event was widely considered to be the largest mortality event for marine diseases ever seen. Beginning in June 2013, the disease swiftly and significantly impacted P. ochraceus (among other species of sea stars) populations along the North American Pacific coast from Alaska to Baja California, Mexico. By the beginning of 2014, P. ochraceus abundances had declined by >95% at nearly all Channel Islands long-term intertidal monitoring sites, in addition to numerous other locations along the West Coast. At various times during the past decade, extremely high abundances (~ 500 P. ochraceus) have been observed at multiple sites, and most locations have supported >100 sea stars counted during 30-minute site-wide searches. This year, abundances ranged 0–13 individuals per site with all but one site having fewer than 10 P. ochraceus seen during routine searches. Insufficient numbers of sea stars were seen to accurately estimate the size structure of P. ochraceus populations. Only two juveniles (i.e., <50 mm) were observed at all sites combined. Giant owl limpet densities in 2018–2019 were comparable or slightly above the long-term mean at seven sites. Exceptionally high densities were measured at Northwest-Talcott on Santa Rosa Island, Otter Harbor on San Miguel Island, and Willows Anchorage on Santa Cruz Island. The sizes of L. gigantea this year varied among sites and islands. The smallest L. gigantea were observed at Otter Harbor followed closely by Willows Anchorage and Anacapa Middle West, and the largest were seen at Northwest-Talcott. Temporally, the mean sizes of L. gigantea in 2018–2019 decreased below the long-term mean at each island except Anacapa. Surfgrasses (Phyllospadix spp.) are typically monitored biannually at two sites each on Santa Cruz and Santa Rosa Islands. Beginning in 2015, all transects at each of the monitoring sites were only sampled once per year. At East Point on Santa Rosa Island, the conditions were not conducive to sampling the surfgrass transects, but qualitatively, percent cover of surfgrass appeared to be near 100% on all three transects. Relative to past years, cover of surfgrass increased above the long-term mean at Fraser Cove on Santa Cruz Island, fell slightly below the mean at Trailer on Santa Cruz Island, and remained approximately equivalent to the mean at the two Santa Rosa Island sites. Overall, the abundance and diversity of shorebirds in 2018–2019 at all sites appeared similar to observations made in recent years, with the exception of elevated numbers of brown pelicans (Pelecanus occidentalis) observed at East Point on Santa Rosa Island. Black oystercatchers (Haematopus bachmani) were the most ubiquitous shorebird seen at all sites. Black turnstones (Arenaria melanocephala) were not common relative to past years. Pinniped abundances remained comparable in 2018–2019 to historical counts for all three species that are commonly seen at the islands. Harbor seals (Phoca vitulina) were seen in the vicinity of eight sites this year. As in past years, harbor seals were most abundant at Otter Harbor and Harris Point on San Miguel Island. Elephant seals (Mirounga angustirostris) were seen at six sites during the year, where abundances ranged 1–5 individuals per location. California sea lions (Zalophus californianus) were common at Santa Barbara Island; 117 individuals were observed at Sea Lion Rookery. Sea lion abundances were higher than usual at Harris Point (N = 160) and Otter Harbor (N = 82) on San Miguel Island. Relative to past years, abundances this year were considered average at other locations.