Bibliografías temáticas / Mobile collaborative applications

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Literatura académica sobre el tema "Mobile collaborative applications"

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Publicado: 25 de mayo de 2024

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Artículos de revistas sobre el tema "Mobile collaborative applications"

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MESSEGUER, ROC, ESUNLY MEDINA, SERGIO F. OCHOA, JOSÉ A. PINO, ANDRES NEYEM, LEANDRO NAVARRO y DOLORS ROYO. "COMMUNICATION SUPPORT FOR MOBILE COLLABORATIVE WORK: AN EXPERIMENTAL STUDY". International Journal of Information Technology & Decision Making 11, n.º 06 (noviembre de 2012): 1035–63. http://dx.doi.org/10.1142/s0219622012400147.

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Advances in mobile computing and wireless communication are easing the evolution from traditional nomadic work to computer-mediated mobile collaborative work. Technology allows efficient and effective interaction among mobile users and also provides access to shared resources available to them. However, the features and capabilities of the communication infrastructure supporting these activities influence the type of coordination and collaboration employed by mobile collaborative applications in real work scenarios. Developers of these applications are typically unaware of the constraints the communication infrastructure imposes on mobile collaborative systems, because they are not easy to foresee. That leads to a high probability of communication problems in otherwise fully functional mobile collaborative support applications. This paper presents an experimental study with real devices and networks on a realistic physical environment that shows how ad hoc networks can effectively support mobile collaborative work and the practical limitations. The paper analyzes several networking issues and determines how they influence mobile collaborative work in various interaction scenarios. The paper also presents the lessons learned in the study and provides recommendations to deal with some networking issues related to real-world ad hoc networks.
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Guetmi, Nadir y Abdessamad Imine. "Cloud patterns for mobile collaborative applications". International Journal of Intelligent Information and Database Systems 10, n.º 3/4 (2017): 191. http://dx.doi.org/10.1504/ijiids.2017.087245.

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Guetmi, Nadir y Abdessamad Imine. "Cloud patterns for mobile collaborative applications". International Journal of Intelligent Information and Database Systems 10, n.º 3/4 (2017): 191. http://dx.doi.org/10.1504/ijiids.2017.10007786.

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Lee, Hochul, Jaehun Lee, Young Choon Lee y Sooyong Kang. "CollaboRoid: Mobile platform support for collaborative applications". Pervasive and Mobile Computing 55 (abril de 2019): 13–31. http://dx.doi.org/10.1016/j.pmcj.2019.02.006.

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Lundin, J. y M. Magnusson. "Collaborative learning in mobile work". Journal of Computer Assisted Learning 19, n.º 3 (septiembre de 2003): 273–83. http://dx.doi.org/10.1046/j.0266-4909.2003.00029.x.

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Park, Sanghun, Wontae Kim y Insung Ihm. "Mobile collaborative medical display system". Computer Methods and Programs in Biomedicine 89, n.º 3 (marzo de 2008): 248–60. http://dx.doi.org/10.1016/j.cmpb.2007.11.012.

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Mallampalli, Sasi Sekhar y Shriya Goyal. "Mobile Applications for Developing Second Language Collaborative Writing". International Journal of Interactive Mobile Technologies (iJIM) 15, n.º 07 (9 de abril de 2021): 185. http://dx.doi.org/10.3991/ijim.v15i07.19885.

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<p>Developing writing skills in a foreign language is one of the demanding tasks for both teachers and students. It not only demands extensive reading and intensive practice in writing both inside and outside the classroom but also timely feedback and error-correction. The experimental study aimed at studying the impact of collaborative writing tasks using mobile applications like <em>WhatsApp</em>, <em>Google Docs</em>, and <em>Google Slides</em> on enhancing the writing ability at the pre-intermediate level of Common European Frame of Reference (CEFR). The participants were tertiary level students of Cihan University who were randomly divided into two equal groups (n=28). One group used <em>WhatsApp</em> and the other group used the <em>Google Docs</em> and <em>Google Slides</em> apps on their mobile devices. The comparative study analyzed the impact of each application on improving the writing skills of the students with pretest and posttest results and semi-structured interviews. The results indicated that the participants who used <em>Google Docs</em> and <em>Google Slides</em> apps have performed better than the participants in the <em>WhatsApp</em> group. The results have implications for teachers teaching writing skills and students who write using mobile applications.</p>
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Jiang, Pingyu, Leijie Fu y Bo Yu. "Developing a mobile collaborative toolkit for industrial applications". International Journal of Internet Manufacturing and Services 2, n.º 3/4 (2010): 365. http://dx.doi.org/10.1504/ijims.2010.033944.

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Mantyjarvi, J., P. Huuskonen y J. Himberg. "Collaborative context determination to support mobile terminal applications". IEEE Wireless Communications 9, n.º 5 (octubre de 2002): 39–45. http://dx.doi.org/10.1109/mwc.2002.1043852.

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Neyem, Andrés, Sergio F. Ochoa, José A. Pino y Rubén Darío Franco. "A reusable structural design for mobile collaborative applications". Journal of Systems and Software 85, n.º 3 (marzo de 2012): 511–24. http://dx.doi.org/10.1016/j.jss.2011.05.046.

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Tesis sobre el tema "Mobile collaborative applications"

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Soon, Chien Jon. "An architecture for user configurable mobile collaborative geographic applications". Thesis, Queensland University of Technology, 2009. https://eprints.qut.edu.au/37311/1/Chien_Soon_Thesis.pdf.

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Geographic information is increasingly being touted for use in research and industrial projects. While the technology is now available and affordable, there is a lack of easy to use software that takes advantage of geographic information. This is an important problem because users are often researchers or scientists who have insufficient software skills, and by providing applications that are easier to use, time and financial resources can be taken from training and be better applied to the actual research and development work. A solution for this problem must cater for the user and research needs. In particular it must allow for mobile operation for fieldwork, flexibility or customisability of data input, sharing of data with other tools and collaborative capabilities for the usual teamwork environment. This thesis has developed a new architecture and data model to achieve the solution. The result is the Mobile Collaborative Annotation framework providing an implementation of the new architecture and data model. Mobile Collaborative Mapping implements the framework as a Web 2.0 mashup rich internet application and has proven to be an effective solution through its positive application to a case study with fieldwork scientists. This thesis has contributed to research into mobile computing, collaborative computing and geospatial systems by creating a simpler entry point to mobile geospatial applications, enabling simplified collaboration and providing tangible time savings.
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Golchay, Roya. "From mobile to cloud : Using bio-inspired algorithms for collaborative application offloading". Thesis, Lyon, 2016. http://www.theses.fr/2016LYSEI009.

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Actuellement les smartphones possèdent un grand éventail de fonctionnalités. Ces objets tout en un, sont constamment connectés. Il est l'appareil favori plébiscité par les utilisateurs parmi tous les dispositifs de communication existants. Les applications actuelles développées pour les smartphones doivent donc faire face à une forte augmentation de la demande en termes de fonctionnalités tandis que - dans un même temps - les smartphones doivent répondre à des critères de compacité et de conception qui les limitent en énergie et à un environnement d'exécution pauvre en ressources. Utiliser un système riche en ressource est une solution classique introduite en informatique dans les nuages mobiles (Mobile Cloud Computing), celle-ci permet de contourner les limites des appareils mobiles en exécutant à distance, toutes ou certaines parties des applications dans ces environnements de nuage. Certaines architectures émergent, mais peu d'algorithmes existent pour traiter les propriétés dynamiques de ces environnements. Dans cette thèse, nous focalisons notre intérêt sur la conception d'ACOMMA (Ant-inspired Collaborative Offloading Middleware for Mobile Applications), un interlogiciel d'exécution déportée collaborative inspirée par le comportement des fourmis, pour les applications mobiles. C'est une architecture orientée service permettant de décharger dynamiquement des partitions d'applications, de manière simultanée, sur plusieurs clouds éloignés ou sur un cloud local créé spontanément, incluant les appareils du voisinage. Les principales contributions de cette thèse sont doubles. Si beaucoup d'intergiciels traitent un ou plusieurs défis relatifs à l'éxecution déportée, peu proposent une architecture ouverte basée sur des services qui serait facile à utiliser sur n'importe quel support mobile sans aucun exigence particulière. Parmi les principaux défis il y a les questions de quoi et quand décharger dans cet environnement très dynamique. A cette fin, nous développons des algorithmes de prises de décisions bio-inspirées : un processus de prise de décision bi-objectif dynamique avec apprentissage et un processus de prise de décision en collaboration avec les autres dispositifs mobiles du voisinage. Nous définissons un mécanisme de dépôt d'exécution avec une méthode de partitionnement grain fin de son graphe d'appel. Nous utilisons les algorithmes des colonies de fourmis pour optimiser bi-objectivement la consommation du CPU et le temps total d'exécution, en incluant la latence du réseau. Nous montrons que les algorithmes des fourmis sont plus facilement re-adaptables face aux modifications du contexte, peuvent être très efficaces en ajoutant des algorithmes de cache par comparaison de chaîne (string matching caching) et autorisent facilement la dissémination du profil de l'application afin de créer une exécution déportée collaborative dans le voisinage
Not bounded by time and place, and having now a wide range of capabilities, smartphones are all-in-one always connected devices - the favorite devices selected by users as the most effective, convenient and neces- sary communication tools. Current applications developed for smartphones have to face a growing demand in functionalities - from users, in data collecting and storage - from IoT device in vicinity, in computing resources - for data analysis and user profiling; while - at the same time - they have to fit into a compact and constrained design, limited energy savings, and a relatively resource-poor execution environment. Using resource- rich systems is the classic solution introduced in Mobile Cloud Computing to overcome these mobile device limitations by remotely executing all or part of applications to cloud environments. The technique is known as application offloading. Offloading to a cloud - implemented as geographically-distant data center - however introduces a great network latency that is not acceptable to smartphone users. Hence, massive offloading to a centralized architecture creates a bottleneck that prevents scalability required by the expanding market of IoT devices. Fog Computing has been introduced to bring back the storage and computation capabilities in the user vicinity or close to a needed location. Some architectures are emerging, but few algorithms exist to deal with the dynamic properties of these environments. In this thesis, we focus our interest on designing ACOMMA, an Ant-inspired Collaborative Offloading Middleware for Mobile Applications that allowing to dynamically offload application partitions - at the same time - to several remote clouds or to spontaneously-created local clouds including devices in the vicinity. The main contributions of this thesis are twofold. If many middlewares dealt with one or more of offloading challenges, few proposed an open architecture based on services which is easy to use for any mobile device without any special requirement. Among the main challenges are the issues of what and when to offload in a dynamically changing environment where mobile device profile, context, and server properties play a considerable role in effectiveness. To this end, we develop bio-inspired decision-making algorithms: a dynamic bi-objective decision-making process with learning, and a decision-making process in collaboration with other mobile devices in the vicinity. We define an offloading mechanism with a fine-grained method-level application partitioning on its call graph. We use ant colony algorithms to optimize bi-objectively the CPU consumption and the total execution time - including the network latency
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McCaffery, Duncan James. "Supporting Low Latency Interactive Distributed Collaborative Applications in Mobile Environments". Thesis, Lancaster University, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.524740.

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Hommerberg, Måns. "Enriching Circuit Switched Mobile Phone Calls with Cooperative Web Applications". Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-159974.

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The thesis investigates the possibility to enrich standard mobile phone calls with cooperative web applications. Originating from the research field know as Computer Supported Cooperative Work (CSCW) this thesis report introduces and describes the implementation of several applications which can be used by the calling parties together during a phone call. Additionally, the report describes a proof-of-concept prototype for the Android platform, and discusses the performance of cooperative web application running on mobile devices in terms of network and CPU use. The conclusions of the thesis describe a prototype application addressing and implementing the requirements as described by the theory of computer supported collaborated work. The performance of the running application showed to be satisfactory, both regarding to network demand and processor use.
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JUNIOR, JONER MARTINS VEIGA DUARTE. "A FRAMEWORK FOR COLLABORATIVE USE OF MOBILE DEVICES FOR REMOTE CONTROL OF SCIENTIFIC APPLICATIONS". PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2012. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=21806@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO
COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR
CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO
Hoje em dia, o uso de dispositivos móveis se tornou bastante popular e criou maneiras diferentes de interação com sua interface sensível ao toque. Aplicações de visualização científica possuem um potencial muito grande de desfrutar dessas novas formas de interação, contudo o poder de processamento dos dispositivos móveis ainda não é suficiente para renderizar e-ou tratar o grande volume de dados que esse tipo de aplicação requer. Propomos um framework, seguindo um modelo cliente-servidor, que permite a utilização de dispositivos móveis para visualização e manipulação colaborativa de aplicações de visualização científica. No papel de servidor, a aplicação científica faz uso de uma biblioteca para compactar e enviar as imagens renderizadas para os clientes e também para tratar os eventos recebidos. No papel de cliente, está um aplicativo multiplataforma (iOS-Android) rodando nos dispositivos móveis, que interpreta os gestos de toque e exibe as imagens recebidas via rede Wi-Fi. O mesmo aplicativo é capaz de conectar em qualquer servidor, pois constrói a interface baseada numa descrição em Lua que o servidor fornece. Por fim, o framework proposto é avaliado em dois aplicativos industriais: Geresim e 3DReplay.
Nowadays, mobile devices have become very popular bringing new ways of interaction with their touch-based interface. Scientific visualization applications have a great potential to take advantage of this new kind of interaction, but the processing capabilities of mobile devices are still not enough to render or process the amount of data this type of application requires. We propose a framework, working as a client-server model, which allows the use of mobile devices to collaboratively visualize and manipulate scientific visualization applications. In the server role, the scientific application uses a library to compress and send rendered images to clients and also to process received events. In the client role, there is a multiplatform application (iOS-Android) running on mobile devices, which interpret touch gestures and show the images received through Wi-Fi network. The same application is able to connect in any server, since it builds its interface from a description in Lua language supplied by the server. Lastly, we evaluate the proposed framework with two industrial applications: Geresim e 3DReplay.
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Kohen-Vacs, Dan. "A Design and Development Approach for Deploying Web and Mobile Applications to Support Collaborative Seamless Learning Activities". Doctoral thesis, Linnéuniversitetet, Institutionen för medieteknik (ME), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-49137.

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In this thesis I address challenges related to the design, development anddeployment of web and mobile technologies used to support CollaborativeSeamless Learning (CSL) activities practiced across a variety of learningcontexts. The scientific publications at the core of this thesis offer adescription of the research I have performed over the last five years, andcomprise studies involving several hundred users.My research efforts included the elicitations of the requirements for and thedesign of a number of web and mobile tools to support collaborative seamlesslearning activities. A web-based environment called CeLS was developed tosupport the orchestration of CSL activities. It was then expanded to integratemobile solutions, aimed to extend the ability of CeLS to support educationalinteractions performed inside as well as outside physical classroom. Thesemobile solutions were designed to implement learning activities that supportdata collection, personal response systems and interaction with mobile videos.The main aim of the research was to investigate how best to design tools andsystems to support students during the enactment of collaborative seamlesslearning activities, and to provide teachers with artifacts to design and assessthose. Special emphasis has been given to the exploration of approaches thatenhance the flow, reusability and sharing of learner-generated content acrossdifferent learning activities. Several studies were conducted in order to validateand assess these ideas and concepts. Various data collection methods wereused to gather data from different stakeholders during the deployment of thedifferent CSL activities. The outcomes were processed and analyzed resultingin a set of recommendations concerning the design, development anddeployment of web and mobile applications to support collaborative seamlesslearning. A software architecture including various web and mobile integratedcomponents used to support innovative CSL activities is also proposed.
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Demigha, Oualid. "Energy Conservation for Collaborative Applications in Wireless Sensor Networks". Thesis, Bordeaux, 2015. http://www.theses.fr/2015BORD0058/document.

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Les réseaux de capteurs sans fil est une technologie nouvelle dont les applications s'étendent sur plusieurs domaines: militaire, scientifique, médicale, industriel, etc. La collaboration entre les noeuds capteurs, caractérisés par des capacités minimales en termes de capture, de transmission, de traitement et d'énergie, est une nécessité pour réaliser des tâches aussi complexes que la collecte des données, le pistage des objets mobiles, la surveillance des zones sensibles, etc. La contrainte matérielle sur le développement des ressources énergétiques des noeuds capteurs est persistante. D'où la nécessité de l'optimisation logicielle dans les différentes couches de la pile protocolaire et du système d'exploitation des noeuds. Dans cette thèse, nous approchons le problème d'optimisation d'énergie pour les applications collaboratives via les méthodes de sélection des capteurs basées sur la prédiction et la corrélation des données issues du réseau lui-même. Nous élaborons plusieurs méthodes pour conserver les ressources énergétiques du réseau en utilisant la prédiction comme un moyen pour anticiper les actions des noeuds et leurs rôles afin de minimiser le nombre des noeuds impliqués dans la tâche en question. Nous prenons l'application de pistage d'objets mobiles comme un cas d'étude. Ceci, après avoir dresser un état de l'art des différentes méthodes et approches récentes utilisées dans ce contexte. Nous formalisons le problème à l'aide d'un programme linéaire à variables binaires dans le but de trouver une solution générale exacte. Nous modélisons ainsi le problème de minimisation de la consommation d'énergie des réseaux de capteurs sans fil, déployé pour des applications de collecte de données soumis à la contrainte de précision de données, appelé EMDP. Nous montrons que ce problème est NP-Complet. D'où la nécessité de solutions heuristiques. Comme solution approchée, nous proposons un algorithme de clustering dynamique, appelé CORAD, qui adapte la topologie du réseau à la dynamique des données capturées afin d'optimiser la consommation d'énergie en exploitant la corrélation qui pourrait exister entre les noeuds. Toutes ces méthodes ont été implémentées et testées via des simulations afin de montrer leur efficacité
Wireless Sensor Networks is an emerging technology enabled by the recent advances in Micro-Electro-Mechanical Systems, that led to design tiny wireless sensor nodes characterized by small capacities of sensing, data processing and communication. To accomplish complex tasks such as target tracking, data collection and zone surveillance, these nodes need to collaborate between each others to overcome the lack of battery capacity. Since the development of the batteries hardware is very slow, the optimization effort should be inevitably focused on the software layers of the protocol stack of the nodes and their operating systems. In this thesis, we investigated the energy problem in the context of collaborative applications and proposed an approach based on node selection using predictions and data correlations, to meet the application requirements in terms of energy-efficiency and quality of data. First, we surveyed almost all the recent approaches proposed in the literature that treat the problem of energy-efficiency of prediction-based target tracking schemes, in order to extract the relevant recommendations. Next, we proposed a dynamic clustering protocol based on an enhanced version of the Distributed Kalman Filter used as a prediction algorithm, to design an energy-efficient target tracking scheme. Our proposed scheme use these predictions to anticipate the actions of the nodes and their roles to minimize their number in the tasks. Based on our findings issued from the simulation data, we generalized our approach to any data collection scheme that uses a geographic-based clustering algorithm. We formulated the problem of energy minimization under data precision constraints using a binary integer linear program to find its exact solution in the general context. We validated the model and proved some of its fundamental properties. Finally and given the complexity of the problem, we proposed and evaluated a heuristic solution consisting of a correlation-based adaptive clustering algorithm for data collection. We showed that, by relaxing some constraints of the problem, our heuristic solution achieves an acceptable level of energy-efficiency while preserving the quality of data
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Syed, Shah Hassan. "Development of collaborative applications for mobile phones : Implementation of the voice messaging system (VMS) using the Peer2Me framework". Thesis, Norwegian University of Science and Technology, Department of Computer and Information Science, 2007. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-8753.

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This study presents the implementation of a voice messaging system using the Peer2Me framework. Voice messaging system (VMS) is an attempt for a new era of communication which is an intuitive-to-use service that adds an emotional and personal dimension to messaging. It enables the user to send voice messages in a peer-to-peer network. One of the objectives of designing VMS is to use the Peer2Me framework which is a framework for developing mobile collaborative applications on mobile phones. For this purpose an initial background study of the framework, central concepts, related technology and state of the art was carried out. We started with the realization of the idea of the VMS by defining its functional and quality requirements, software architecture and high level design. The implementation was carried out in MIDP/J2ME. The application was tested throughout the implementation process and a system test was performed on real phones on completion of the implementation phase. At the end we evaluated our work, discussed the problems we encountered, answered our research questions, gave our conclusions and described further work that could be carried out on the VMS. (All source code of the VMS is attached along with this report).

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Yu, Shuai. "Multi-user computation offloading in mobile edge computing". Electronic Thesis or Diss., Sorbonne université, 2018. http://www.theses.fr/2018SORUS462.

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Mobile Edge Computing (MEC) est un modèle informatique émergent qui étend le cloud et ses services à la périphérie du réseau. Envisager l'exécution d'applications émergentes à forte intensité de ressources dans le réseau MEC, le déchargement de calcul est un paradigme éprouvé réussi pour activer des applications gourmandes en ressources sur les appareils mobiles. De plus, compte tenu de l'émergence de l'application collaborative mobile (MCA), les tâches déchargées peuvent être dupliquées lorsque plusieurs utilisateurs se trouvent à proximité. Cela nous motive à concevoir un schéma de déchargement de calcul collaboratif pour un réseau MEC multi-utilisateurs. Dans ce contexte, nous étudions séparément les schémas de déchargement par calcul collaboratif pour les scénarios de déchargement de MEC, de déchargement de périphérique à périphérique (D2D) et de déchargement hybride, respectivement. Dans le scénario de déchargement de MEC, nous supposons que plusieurs utilisateurs mobiles déchargent des tâches de calcul dupliquées sur les serveurs de périphérie du réseau et partagent les résultats de calcul entre eux. Notre objectif est de développer les stratégies optimales de déchargement collaboratif avec des améliorations de mise en cache afin de minimiser le délai d'exécution global du côté du terminal mobile. À cette fin, nous proposons un déchargement optimal avec un schéma d'amélioration de la mise en cache (OOCS) pour le scénario femto-cloud et le scénario d'informatique mobile, respectivement. Les résultats de la simulation montrent que comparé à six solutions alternatives dans la littérature, notre OOCS mono-utilisateur peut réduire les délais d'exécution jusqu'à 42,83% et 33,28% respectivement pour le femto-cloud mono-utilisateur et l'informatique mobile mono-utilisateur. D'un autre côté, notre système OOCS multi-utilisateur peut encore réduire le délai de 11,71% par rapport à l'OOCS mono-utilisateur grâce à la coopération des utilisateurs. Dans le scénario de déchargement D2D, nous supposons que lorsque des tâches de calcul en double sont traitées sur des utilisateurs mobiles spécifiques et que les résultats de calcul sont partagés via le canal de multidiffusion Device-to-Device (D2D). Notre objectif ici est de trouver une partition réseau optimale pour le déchargement multicast D2D, afin de minimiser la consommation d'énergie globale du côté du terminal mobile. À cette fin, nous proposons d'abord un cadre de déchargement de calcul basé sur la multidiffusion D2D où le problème est modélisé comme un problème d'optimisation combinatoire, puis résolu en utilisant les concepts de correspondance bipartite pondérée maximale et de jeu de coalition. Notez que notre proposition considère la contrainte de délai pour chaque utilisateur mobile ainsi que le niveau de la batterie pour garantir l'équité. Pour évaluer l'efficacité de notre proposition, nous simulons trois composants interactifs typiques. Les résultats de la simulation montrent que notre algorithme peut réduire considérablement la consommation d'énergie et garantir l'équité de la batterie entre plusieurs utilisateurs en même temps. Nous étendons ensuite le déchargement du D2D au déchargement hybride en tenant compte des relations sociales. Dans ce contexte, nous proposons un cadre d'exécution de tâches hybride multicast pour l'informatique mobile, où une foule d'appareils mobiles à la périphérie du réseau s'appuient sur la collaboration D2D assistée par réseau pour l'informatique distribuée sans fil et le partage des résultats. Le cadre est socialement conscient afin de construire des liens D2D efficaces. Un objectif clé de ce cadre est de mettre en place une politique d'attribution de tâches écoénergétique pour les utilisateurs mobiles. Pour ce faire, nous introduisons d'abord le modèle de système de déchargement de calcul hybride social-aware, puis nous formulons le problème d'affectation de tâches économe en énergie en prenant en compte les contraintes nécessaires [...]
Mobile Edge Computing (MEC) is an emerging computing model that extends the cloud and its services to the edge of the network. Consider the execution of emerging resource-intensive applications in MEC network, computation offloading is a proven successful paradigm for enabling resource-intensive applications on mobile devices. Moreover, in view of emerging mobile collaborative application (MCA), the offloaded tasks can be duplicated when multiple users are in the same proximity. This motivates us to design a collaborative computation offloading scheme for multi-user MEC network. In this context, we separately study the collaborative computation offloading schemes for the scenarios of MEC offloading, device-to-device (D2D) offloading and hybrid offloading, respectively. In the MEC offloading scenario, we assume that multiple mobile users offload duplicated computation tasks to the network edge servers, and share the computation results among them. Our goal is to develop the optimal fine-grained collaborative offloading strategies with caching enhancements to minimize the overall execution delay at the mobile terminal side. To this end, we propose an optimal offloading with caching-enhancement scheme (OOCS) for femto-cloud scenario and mobile edge computing scenario, respectively. Simulation results show that compared to six alternative solutions in literature, our single-user OOCS can reduce execution delay up to 42.83% and 33.28% for single-user femto-cloud and single-user mobile edge computing, respectively. On the other hand, our multi-user OOCS can further reduce 11.71% delay compared to single-user OOCS through users' cooperation. In the D2D offloading scenario, we assume that where duplicated computation tasks are processed on specific mobile users and computation results are shared through Device-to-Device (D2D) multicast channel. Our goal here is to find an optimal network partition for D2D multicast offloading, in order to minimize the overall energy consumption at the mobile terminal side. To this end, we first propose a D2D multicast-based computation offloading framework where the problem is modelled as a combinatorial optimization problem, and then solved using the concepts of from maximum weighted bipartite matching and coalitional game. Note that our proposal considers the delay constraint for each mobile user as well as the battery level to guarantee fairness. To gauge the effectiveness of our proposal, we simulate three typical interactive components. Simulation results show that our algorithm can significantly reduce the energy consumption, and guarantee the battery fairness among multiple users at the same time. We then extend the D2D offloading to hybrid offloading with social relationship consideration. In this context, we propose a hybrid multicast-based task execution framework for mobile edge computing, where a crowd of mobile devices at the network edge leverage network-assisted D2D collaboration for wireless distributed computing and outcome sharing. The framework is social-aware in order to build effective D2D links [...]
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Ventura, Raphaël. "Estimation de la pollution sonore en milieu urbain par assimilation d'observations mobiles". Thesis, Sorbonne université, 2018. http://www.theses.fr/2018SORUS387.

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La pollution sonore en milieu urbain est un enjeu sanitaire important, et l'exposition des populations doit être estimée adéquatement. Les simulations qui permettent de générer les cartes de bruit employées à cet effet sont cependant entachées d'erreurs. L'observation de l'environnement est alors judicieuse car elle permet la récolte d'informations supplémentaires en différents points de l'espace et à différents instants. Nous proposons dans cette thèse des méthodes d'assimilation de données permettant la fusion d'une carte de bruit issue de la simulation (ébauche), et d'observations acquises via l'application mobile Ambiciti. La fiabilité des observations est évaluée dans différents contextes, et nous mettons en place une méthode d'étalonnage qui permet de réduire autant que possible le biais de mesure. La combinaison de l'ébauche et des observations résulte en un estimateur nommé analyse, dont la variance de l'erreur est minimisée grâce à une estimation préalable des erreurs suivantes : corrélations spatiales des erreurs d'ébauche; erreurs d'instrumentation, de représentativité temporelle et spatiale pour l'observation. Une méthode d'assimilation à l'échelle du quartier est développée afin de générer des cartes horaires à partir d'une carte d'ébauche de bruit moyen sur une période de la journée, et d'observations acquises par un expérimentateur à travers Ambiciti. Une seconde méthode exploite l'ensemble des données partagées anonymement par les utilisateurs d'Ambiciti. Cet ensemble est filtré et classifié, et la précédente méthode est adaptée afin de produire des cartes de bruit d'analyse à l'échelle de la ville
Noise pollution is a major environmental health problems, and the determination of populations exposure is needed. This can be done through noise mapping. Usually, maps are simulation-based, and subject to high uncertainties. Observational data is distributed in space and time and hence conveys information that is complementary to simulation data. In this thesis, we propose data assimilation methods that allow one to merge prior noise maps issued by numerical simulation with phone-acquired (via the Ambiciti app) noise observations. We run a performance analysis that addresses the range, accuracy, precision and reproducibility of measurements. Conclusions of this evaluation lead us to the proposition of a calibration strategy that has been embedded in Ambiciti. The result of the prior map and observations merging is called an analysis, and is designed to have minimum error variance, based on the respective uncertainties of both data sources that we evaluated: spatial correlations for the prior error; measurement errors, time and location representativeness for the observations. We address the estimation problem on two different scales. The first method relies on the so-called ``best linear unbiased estimator''. It produces hourly noise maps, based on temporally averaged simulation maps and mobile phone audio data recorded at the neighborhood scale. The second method leverages the crowd-sensed Ambiciti user data available throughout the covered city. The observations set must be filtered and pre-processed, in order to only select the ones that were generated in adequate conditions. The prior simulation map is then corrected in a global fashion
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Capítulos de libros sobre el tema "Mobile collaborative applications"

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Zhang, Sheng y Jie Wu. "Collaborative Mobile Charging". En Wireless Power Transfer Algorithms, Technologies and Applications in Ad Hoc Communication Networks, 505–31. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46810-5_19.

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Guo, Yi, Lynne E. Parker y Raj Madhavan. "Collaborative Robots for Infrastructure Security Applications". En Mobile Robots: The Evolutionary Approach, 185–200. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-49720-2_9.

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Cruz Torres, Mario Henrique, Robrecht Haesevoets y Tom Holvoet. "CooS: Coordination Support for Mobile Collaborative Applications". En Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 152–63. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40238-8_13.

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Shrira, Liuba y Hong Tian. "MX: Mobile Object Exchange for Collaborative Applications". En ECOOP 2003 – Object-Oriented Programming, 126–50. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-45070-2_7.

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Yang, Qinglin, Xiaofei Luo, Peng Li y Toshiaki Miyazaki. "Collaborative Inference for Mobile Deep Learning Applications". En 2nd International Conference on 5G for Ubiquitous Connectivity, 1–12. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-22316-8_1.

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Reverte, Óscar Cánovas y Félix J. García Clemente. "Learning Technological Innovation on Mobile Applications by Means of a Spiral of Projects". En Interactive Collaborative Learning, 16–28. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-50340-0_2.

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Torres, Andrei B. B., Bill Kapralos, Alvaro Uribe-Quevedo, Enilda Zea Quero y Adam Dubrowski. "A Gamified Educational Network for Collaborative Learning". En Internet of Things, Infrastructures and Mobile Applications, 266–75. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-49932-7_26.

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Bourimi, Mohamed, Thomas Barth, Bernd Ueberschär y Kesdogan Dogan. "Towards Building User-Centric Privacy-Respecting Collaborative Applications". En Intelligent Interactive Assistance and Mobile Multimedia Computing, 341–42. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-10263-9_33.

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Herskovic, Valeria, Sergio F. Ochoa, José A. Pino, Pedro Antunes y Emilio Ormeño. "Identifying the Awareness Mechanisms for Mobile Collaborative Applications". En Lecture Notes in Computer Science, 241–56. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-41347-6_18.

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Mechaoui, Moulay Driss y Abdessamad Imine. "Concurrency Control for Mobile Collaborative Applications in Cloud Environments". En Studies in Big Data, 269–88. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-45145-9_11.

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Actas de conferencias sobre el tema "Mobile collaborative applications"

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Pichiliani, Mauro Carlos, Prasun Dewan y Celso Massaki Hirata. "Executive Summary: Lacomo: A Layer to Develop Collaborative Mobile Applications". En XV Simpósio Brasileiro de Sistemas Colaborativos. Sociedade Brasileira de Computação - SBC, 2019. http://dx.doi.org/10.5753/sbsc.2019.7819.

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Nowadays, there is little support for developers to transform single user applications to collaborative ones in the mobile domain. We present Lacomo, a new software layer to build collaborative mobile applications with accessibility, screen sharing, and application rewriting technologies that reduce costs to prototype collaboration features, thereby increasing the range of supported applications without deep application knowledge. We compare it to an ad hoc approach. Users using Lacomo performed a testing task faster, with less effort and errors at a higher completion time.
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Mtibaa, Abderrahmen, Mohammad Abu Snober, Antonio Carelli, Roberto Beraldi y Hussein Alnuweiri. "Collaborative Mobile-To-Mobile Computation Offloading". En 10th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing. ICST, 2014. http://dx.doi.org/10.4108/icst.collaboratecom.2014.257610.

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Gallardo-Lopez, Lizbeth, Beatriz A. Gonzalez-Beltran, Roberto Garcia-Madrid, Marco Ferruzca, Irma A. Zafra-Ballinas y Jose A. Reyes-Ortiz. "Collaborative working: Understanding mobile applications requirements". En 2015 International Conference on Computational Science and Computational Intelligence (CSCI). IEEE, 2015. http://dx.doi.org/10.1109/csci.2015.86.

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Killijian, Marc-Olivier, David Powell, Michel Ban�tre, Paul Couderc y Yves Roudier. "Collaborative backup for dependable mobile applications". En the 2nd workshop. New York, New York, USA: ACM Press, 2004. http://dx.doi.org/10.1145/1028509.1028517.

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Worship, G. "Will utilities need collaborative mobile applications?" En IEE Colloquium on Mobile Computing and its Applications. IEE, 1995. http://dx.doi.org/10.1049/ic:19951392.

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Nair, Rajesh. "Collaborative innovation for future mobile applications". En 2013 IEEE Asian Solid-State Circuits Conference (A-SSCC). IEEE, 2013. http://dx.doi.org/10.1109/asscc.2013.6690970.

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Wang, Alf Inge, Tommy Bjornsgard y Kim Saxlund. "Peer2Me - rapid application framework for mobile peer-to-peer applications". En 2007 International Symposium on Collaborative Technologies and Systems (CTS). IEEE, 2007. http://dx.doi.org/10.1109/cts.2007.4621778.

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Bajaj, Garvita y Pushpendra Singh. "Sahyog: A middleware for mobile collaborative applications". En 2015 7th International Conference on New Technologies, Mobility and Security (NTMS). IEEE, 2015. http://dx.doi.org/10.1109/ntms.2015.7266518.

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Shamsi, Jawwad, S. Ali Raza, Hassan Farid, Taha Munir y Abbas Mehdi. "MACNET: Mobile Adhoc Collaborative NETworks". En 10th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing. ICST, 2014. http://dx.doi.org/10.4108/icst.collaboratecom.2014.257322.

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Nygaard, Mads y Hien Nam Le. "Transaction Processing with mobile collaborative works". En 2006 International Conference on Collaborative Computing: Networking, Applications and Worksharing. IEEE, 2006. http://dx.doi.org/10.1109/colcom.2006.361875.

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Informes sobre el tema "Mobile collaborative applications"

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Oleksiuk, Vasyl P. y Olesia R. Oleksiuk. Exploring the potential of augmented reality for teaching school computer science. [б. в.], noviembre de 2020. http://dx.doi.org/10.31812/123456789/4404.

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The article analyzes the phenomenon of augmented reality (AR) in education. AR is a new technology that complements the real world with the help of computer data. Such content is tied to specific locations or activities. Over the last few years, AR applications have become available on mobile devices. AR becomes available in the media (news, entertainment, sports). It is starting to enter other areas of life (such as e-commerce, travel, marketing). But education has the biggest impact on AR. Based on the analysis of scientific publications, the authors explored the possibilities of using augmented reality in education. They identified means of augmented reality for teaching computer science at school. Such programs and services allow students to observe the operation of computer systems when changing their parameters. Students can also modify computer hardware for augmented reality objects and visualize algorithms and data processes. The article describes the content of author training for practicing teachers. At this event, some applications for training in AR technology were considered. The possibilities of working with augmented reality objects in computer science training are singled out. It is shown that the use of augmented reality provides an opportunity to increase the realism of research; provides emotional and cognitive experience. This all contributes to engaging students in systematic learning; creates new opportunities for collaborative learning, develops new representations of real objects.
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Chotelal, Shreshta, Marla Dukharan, Jeetendra Khadan y Melissa Marchand. Financial Inclusion and FinTech in Suriname. Inter-American Development Bank, febrero de 2022. http://dx.doi.org/10.18235/0003988.

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This paper examines the potential role FinTech can play to support Surinames financial inclusion efforts. Financial technologyor “FinTech”describes the integration of technology into financial services to improve their use and delivery to customers. More importantly, it has the potential to meet the needs of those population segments that are not the main target of traditional financial services models. FinTech applications include mobile banking, mobile money, point-of-sale, e-commerce, and digital currencies. These solutions have contributed to financial inclusion, strengthening financial development, economic growth, poverty reduction, and socioeconomic development. We find that Suriname is making progress in promoting the development and use of FinTech. Still, there is room for further improvement, especially in fostering an enabling environment to harness FinTech opportunities, strengthening broader financial sector policies, addressing potential risks, promoting international collaboration, and addressing critical country-specific challenges.
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O’Brien, Tom, Deanna Matsumoto, Diana Sanchez, Caitlin Mace, Elizabeth Warren, Eleni Hala y Tyler Reeb. Southern California Regional Workforce Development Needs Assessment for the Transportation and Supply Chain Industry Sectors. Mineta Transportation Institute, octubre de 2020. http://dx.doi.org/10.31979/mti.2020.1921.

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COVID-19 brought the public’s attention to the critical value of transportation and supply chain workers as lifelines to access food and other supplies. This report examines essential job skills required of the middle-skill workforce (workers with more than a high school degree, but less than a four-year college degree). Many of these middle-skill transportation and supply chain jobs are what the Federal Reserve Bank defines as “opportunity occupations” -- jobs that pay above median wages and can be accessible to those without a four-year college degree. This report lays out the complex landscape of selected technological disruptions of the supply chain to understand the new workforce needs of these middle-skill workers, followed by competencies identified by industry. With workplace social distancing policies, logistics organizations now rely heavily on data management and analysis for their operations. All rungs of employees, including warehouse workers and truck drivers, require digital skills to use mobile devices, sensors, and dashboards, among other applications. Workforce training requires a focus on data, problem solving, connectivity, and collaboration. Industry partners identified key workforce competencies required in digital literacy, data management, front/back office jobs, and in operations and maintenance. Education and training providers identified strategies to effectively develop workforce development programs. This report concludes with an exploration of the role of Institutes of Higher Education in delivering effective workforce education and training programs that reimagine how to frame programs to be customizable, easily accessible, and relevant.
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