:Gamification & Serious Game : Symposium 2016, July 4 & 5

Reinforcing the bridge between local academic and applied worlds in the domain of Serious Game & Gamification, e.g. applied universities and startups. Focusing on three application domain, Helath, Social, and Education, the figure next page illustrates the variety of short talks of the symposium. The three categories of talks (among 14 corresponding short papers): five concept-oriented in green, nine demo-oriented in black, and three roundtables

Towards real-time human behavior understanding: A suboptimal shape descriptor

Bu çalışmada insan davranışı anlama (İDA) probleminin çözümünde kullanılmak üzere özgün optimal ve optimal-altı şekil tanımlayıcıları önerilmiştir. Bu şekilde en az veri kullanımıyla en fazla davranış bilgisini sınıflandırabilmek amaçlanmıştır. Optimal şekil tanımlayıcısı başarısı yüksek olmakla beraber algoritmik karmaşıklığı yüksek olduğu için oldukça yavaş çalışmaktadır. Bu sorunu gidermek için daha hızlı çalışan bir optimal-altı tanımlayıcı önerilmiştir. Optimal-altı tanımlayıcının başarısı optimal tanımlayıcıya çok yakın olmakla beraber çok daha düşük algoritmik karmaşıklığa sahip olup çok daha hızlıdır. Sonuçlar Weizmann veri setinde denenmiş ve şekiller ve video bağlantıları ile gösterilmiştir. Veri setinden elde edilen siluet görüntü akışlarından 12 adet istatistiksel öznitelik çıkarılıp sınıflandırmada kullanılmıştır. Sınıflandırmada kullanılan Öklid uzaklığı yöntemi sayesinde oldukça hızlı sonuçlar üretilerek %92 doğruluk oranına ulaşılmıştır.In this study, two novel shape descriptors are proposed to be used in human behavior understanding problem. First is optimal shape descriptor, which has high performance but works very slow due to high algorithmic complexity. Second is suboptimal shape descriptor, performance of which is very close to optimal one, but works much more faster. Optimal means using minimum data to represent maximum knowledge. Algorithms are run on Weizmann dataset and results are shown both as figure and video link. Classification was performed using 12 statistical features extracted from the data sets' human silhouettes. An accuracy rating of 92 percent was obtained by using Euclidean distance in classification

System Support For Stream Processing In Collaborative Cloud-Edge Environment

Stream processing is a critical technique to process huge amount of data in real-time manner. Cloud computing has been used for stream processing due to its unlimited computation resources. At the same time, we are entering the era of Internet of Everything (IoE). The emerging edge computing benefits low-latency applications by leveraging computation resources at the proximity of data sources. Billions of sensors and actuators are being deployed worldwide and huge amount of data generated by things are immersed in our daily life. It has become essential for organizations to be able to stream and analyze data, and provide low-latency analytics on streaming data. However, cloud computing is inefficient to process all data in a centralized environment in terms of the network bandwidth cost and response latency. Although edge computing offloads computation from the cloud to the edge of the Internet, there is not a data sharing and processing framework that efficiently utilizes computation resources in the cloud and the edge. Furthermore, the heterogeneity of edge devices brings more difficulty to the development of collaborative cloud-edge applications. To explore and attack the challenges of stream processing system in collaborative cloudedge environment, in this dissertation we design and develop a series of systems to support stream processing applications in hybrid cloud-edge analytics. Specifically, we develop an hierarchical and hybrid outlier detection model for multivariate time series streams that automatically selects the best model for different time series. We optimize one of the stream processing system (i.e., Spark Streaming) to reduce the end-to-end latency. To facilitate the development of collaborative cloud-edge applications, we propose and implement a new computing framework, Firework that allows stakeholders to share and process data by leveraging both the cloud and the edge. A vision-based cloud-edge application is implemented to demonstrate the capabilities of Firework. By combining all these studies, we provide comprehensive system support for stream processing in collaborative cloud-edge environment

Mission-Critical Communications from LMR to 5G: a Technology Assessment approach for Smart City scenarios

Radiocommunication networks are one of the main support tools of agencies that carry out actions in Public Protection & Disaster Relief (PPDR), and it is necessary to update these communications technologies from narrowband to broadband and integrated to information technologies to have an effective action before society. Understanding that this problem includes, besides the technical aspects, issues related to the social context to which these systems are inserted, this study aims to construct scenarios, using several sources of information, that helps the managers of the PPDR agencies in the technological decisionmaking process of the Digital Transformation of Mission-Critical Communication considering Smart City scenarios, guided by the methods and approaches of Technological Assessment (TA).As redes de radiocomunicações são uma das principais ferramentas de apoio dos órgãos que realizam ações de Proteção Pública e Socorro em desastres, sendo necessário atualizar essas tecnologias de comunicação de banda estreita para banda larga, e integra- las às tecnologias de informação, para se ter uma atuação efetiva perante a sociedade . Entendendo que esse problema inclui, além dos aspectos técnicos, questões relacionadas ao contexto social ao qual esses sistemas estão inseridos, este estudo tem por objetivo a construção de cenários, utilizando diversas fontes de informação que auxiliem os gestores destas agências na tomada de decisão tecnológica que envolve a transformação digital da Comunicação de Missão Crítica considerando cenários de Cidades Inteligentes, guiado pelos métodos e abordagens de Avaliação Tecnológica (TA)

Surveillant Spectatorship: Race and Surveillance in Literature and Sport from Ralph Ellison to Colin Kaepernick

This dissertation theorizes the concept of &ldquo;surveillant spectatorship,&rdquo; which names a dynamic through which fans who watch and follow sport (in-person and through various media) become active monitors of athletes, often exercising rhetorical and material power. The dissertation begins with an examination of Colin Kaepernick&rsquo;s 2016 national anthem protests to reveal that the controversies around the protests are precipitated by surveillant spectatorship. Then surveillant spectatorship is applied to literary texts and events in the world of sports to produce new understandings of the ways in which surveillant spectatorship operates in sport and its representations in literature. The major literary texts studied are Ralph Ellison&rsquo;s Invisible Man, Michael Lewis&rsquo;s Moneyball: The Art of Winning an Unfair Game, Don DeLillo&rsquo;s Pafko at the Wall, August Wilson&rsquo;s Fences, and Roberto Bola&ntilde;o&rsquo;s 2666.</p

Monitoring, Creeping, or Surveillance? A Synthesis of Online Social Information Seeking Concepts

Affordances of Internet sites and Internet-based applications make personal information about romantic partners, friends, family members, and strangers easy to obtain. People use various techniques to find information about others, capitalizing on online affordances by using search engines to find relevant websites and databases; scouring the target’s social media or social networking site presence; accessing information about the target via their links or network association with others on social media; or asking questions or crowdsourcing information through online channels. Researchers have coined an assortment of terms to describe online social information seeking behaviors, such as interpersonal electronic surveillance, social surveillance, monitoring, patient-targeted Googling, cybervetting, websleuthing, human flesh search, lateral surveillance, Facebook surveillance, and Facebook stalking. Although considerable research has examined these behaviors, there has been little effort to clarify the concepts themselves. As a result, the literature is currently full of inconsistent and overlapping conceptualizations. To synthesize these concepts for future research, this review examines 73 online social information seeking concepts extracted from 186 articles. Specifically, the concepts are reviewed in light of their scope; the information seeker or target of information seeking (e.g., romantic partners, parents, children, employees, criminals); motives for information seeking (e.g., uncertainty, threat, curiosity); and the intensity of the behavior. Recommendations are provided for future research, such as employing clear conceptualizations and incorporating affordances. Finally, we offer a decision tree that researchers can use to help select appropriate terms to use in their work moving forward

Shifts in Mapping: Maps as a Tool of Knowledge

Depicting the world, territory, and geopolitical realities involves a high degree of interpretation and imagination. It is never neutral. Cartography originated in ancient times to represent the world and to enable circulation, communication, and economic exchange. Today, IT companies are a driving force in this field and change our view of the world; how we communicate, navigate, and consume globally. Questions of privacy, authorship, and economic interests are highly relevant to cartography's practices. So how to deal with such powers and what is the critical role of cartography in it? How might a bottom-up perspective (and actions) in map-making change the conception of a geopolitical space

Shifts in Mapping

Depicting the world, territory, and geopolitical realities involves a high degree of interpretation and imagination. It is never neutral. Cartography originated in ancient times to represent the world and to enable circulation, communication, and economic exchange. Today, IT companies are a driving force in this field and change our view of the world; how we communicate, navigate, and consume globally. Questions of privacy, authorship, and economic interests are highly relevant to cartography's practices. So how to deal with such powers and what is the critical role of cartography in it? How might a bottom-up perspective (and actions) in map-making change the conception of a geopolitical space