P2p Multimedia Streaming

Abstract: Peer-to-peer (P2P) is a promising technology for video streaming, and offers advantages in terms of re-configurability and scalability. It gains advantage from and share the resources owned by the end-users who are distributed around the Internet. P2P has shown an alternative solution for the traditional Client-Server approach limitations. However, due to the churn of peers, issues of video quality arise such as packet loss. This in turn degrades the QoS, then the QoE. Moreover, in current networking conditions, congestions ...

Current -Internet of Things‖ concepts point to a future where connected objects gather meaningful information about their environment and share it with other objects and people. In particular, objects embedding Human Machine Interaction (HMI), such as mobile devices and, increasingly, connected vehicles, home appliances, urban interactive infrastructures, etc., may not only be conceived as sources of sensor information, but, through interaction with their users, they can also produce highly valuable context-aware human-generated observations. We believe that the great promise offered by combining and sharing all of the different sources of information available can be realized through the integration of HMI and Semantic Sensor Web technologies. This paper presents a technological framework that harmonizes two of the most influential HMI and Sensor Web initiatives: the W3C's Multimodal Architecture and Interfaces (MMI) and the Open Geospatial Consortium (OGC) Sensor Web Enablement (SWE) with its semantic extension, respectively. Although the proposed framework is general enough to be applied in a variety of connected objects integrating HMI, a particular development is presented for a connected car scenario where drivers' observations about the traffic or their environment are shared across the Semantic Sensor Web. For implementation and evaluation purposes an on-board OSGi (Open Services Gateway Initiative) architecture was built, integrating

Interoperability support is a key outstanding requirement for autonomic computing systems, and this need stems from the very success of these systems. Autonomic computing is increasingly popular; soon autonomic control components will be commonplace and present in almost every large or complex application. Interoperability between autonomic managers is an increasingly urgent concern, as the proliferation of autonomic systems inevitably leads to situations where multiple autonomic components coexist and interact either directly or indirectly within the same application or system. Problems can arise when numerous independently designed autonomic components interact, potentially destabilising systems. We advocate a service-based approach to interoperability and present a set of requirements for such an approach as well as a suitable architecture. A key component of this architecture is the Interoperability Service with which Autonomic Managers register their management interests and capabilities, using a management description language. The Interoperability Service automatically discovers and manages potential conflicts between manager components. Developers integrate Autonomic Managers with the Interoperability Service by importing its interfaces. This allows the Interoperability Service to automatically suspend and resume managers, or specific management functions as necessary, driven by the automated conflict detection. We illustrate the use of the Interoperability Service in a datacentre scenario in which independently developed power management and performance management autonomic components operate.

À la suite du double volume consacré à La cinéphilie des cinéastes, la présente publication entend aborder la question des cinéphilies en adoptant une posture sociologique cette fois, ain d'interroger plus précisément la question des nouvelles pratiques cinéphiles. Les différents textes composant ce volume tentent ainsi de mettre en évidence les mutations à l'oeuvre dans les usages, en particulier dans le contexte des transformations radicales engendrées par l'apparition d'Internet, devenu un vecteur privilégié en matière de diffusion d'images animées. Comment les prescripteurs historiques voient-ils leur fonction se transformer au contact des nouveaux modes de consommation cinématographique ? De nouvelles instances de médiation se mettent-elles en place ain de répondre aux enjeux nouvellement formulés ? Comment appréhender le rôle des nouvelles communautés cinéphiles nées de l'émergence du Web 2.0 ? Quelle analyse peut-on porter à propos des pratiques nouvelles qui se développent au contact des nouvelles technologies ? En quoi le renouveau des pratiques amateurs questionne-t-il la notion de cinéphilie ? C'est à ces différents points que les dix auteurs qui ont participé à cet ouvrage tentent d'apporter des réponses. Les Cahiers de Champs Visuels se veulent, avant tout, une tribune pour tous ceux qui s'intéressent à la recherche interdisciplinaire se donnant comme objets l'image animée et le son (publicité, cinéma, télévision, vidéo, multimédia), analogiques et digitaux, dans la perspective d'une étude de leurs usages (socioprofessionnels, marchands, techniques, esthétiques) dans la société : évolution des métiers, des techniques, des écritures, et de leurs interactions. Ainsi, nous souhaitons que cette publication soit mise au service de la Communauté scientiique intéressée par l'image.

Abstract: Rapid discovery and access of geospatial resources is critical for many application domains that require agile data integration. In this context, cross-domain geospatial applications need immediate access to geospatial resources of interest in order to rapidly ...

Abstract- Accomplishing user interoperation and standardized web techniques is a promising mixture to build a next generation of web applications in the currently arising Social Semantic Web. Increasing heterogeneous Open Content is an ongoing trend. Generic concepts for higher-layered reuse of the arbitrary information overload- mentioning the Internet of Services- are not covered very well yet. For further, directed use of distributed services and sources, inquiry, interlinking, analysis, machine- and human-interpretable representation are as essential as lightweight user-oriented interoperation and competency in handling. In the following we introduce the qKAI application framework (qualifying Knowledge Acquisition and Inquiry) [1]- a service-oriented, generic and hybrid approach combining knowledge related offers for convenient reuse and tweaking them with interaction for improved access.

Akamai and Netflix are the most high performance Internet video delivery service provider with their efficient CDN infrastructures. However, due to the high cost of CDN deployment, strong incentives are created to find another lower cost delivery service options. Peer to peer (P2P) network represents less investment architecture that show high potential to reduce the dependency of CDN.A P2P based system shifts the load of content delivery from the content providers' servers to the users. However, high consumption of server bandwidth often become an issue in P2P based streaming as user demand increase rapidly. This paper review two category of methods of server bandwidth saving: (a)peer's bandwidth allocation method and (b) server bandwidth provisioning method which potential for P2P based video on demand (VoD) system. We then conclude our review with CDN-P2P hybrid architectures research towards becoming a high performance video distribution.

Adaptivity in web applications raises several concerns. One demands it to be decoupled from the actual application and at the same time wants to use very domain-specific terms for dividing the audience into groups. Two current trends, aspect-oriented programming and semantic web technologies, fit these requirements like a glove. In this paper, we present the AMACONT web modeling framework and use it as an example of how to extend such a framework to make use of these powerful technologies. The underlying concepts, however, can be applied to the modeling of adaptivity in general.

Video on Demand services generate the Jargest amount of traffic in networks nowadays. Previous works have proposed integrating Content Delivery Networks (CON) and Peer-to-Peer (P2P) networks to satisfy this demand. However, their analytical methods do not consider al) the factors that affect the performance of these systems. Hence, we present a nove) comprehensive framework, based on a fluid mode), to evaluate VoD services over hybrid CDN-P2P systems. The proposed framework considers features of the service (e.g., size, coding-rate and popularity of the video), network attributes (e.g., upload data-rate capacity of servers and peers) and char acteristics of the behavior of the users (e.g., sojourn time, cooperativeness and frequency of random-seeks). Our framework allows a system to be evaluated under a wide variety of scenarios in terms of network-cost and Quality-of-Service (QoS) parameters and is flexible enough to mode) different resource allocation schemes, including a nove! scheme to distribute the upload network capacity. Despite the wide variety of considered factors, our framework is tractable and as accurate as discrete-models based on Markov chains.

Video on Demand services generate the Jargest amount of traffic in networks nowadays. Previous works have proposed integrating Content Delivery Networks (CON) and Peer-to-Peer (P2P) networks to satisfy this demand. However, their analytical methods do not consider al) the factors that affect the performance of these systems. Hence, we present a nove) comprehensive framework, based on a fluid mode), to evaluate VoD services over hybrid CDN-P2P systems. The proposed framework considers features of the service (e.g., size, coding-rate and popularity of the video), network attributes (e.g., upload data-rate capacity of servers and peers) and char acteristics of the behavior of the users (e.g., sojourn time, cooperativeness and frequency of random-seeks). Our framework allows a system to be evaluated under a wide variety of scenarios in terms of network-cost and Quality-of-Service (QoS) parameters and is flexible enough to mode) different resource allocation schemes, including a nove! scheme to distribute the upload network capacity. Despite the wide variety of considered factors, our framework is tractable and as accurate as discrete-models based on Markov chains.

Recent distributed computing trends advocate the use of Representational State Transfer (REST) to alleviate the inherent complexity of the Web services standards in building service-oriented web applications. In this paper we focus on the particular case of geospatial services interfaced by the OGC Web Processing Service (WPS) specification in order to assess whether WPS-based geospatial services can be viewed from the architectural principles exposed in REST. Our concluding remarks suggest that the adoption of REST principles, to specially harness the built-in mechanisms of the HTTP application protocol, may be beneficial in scenarios where ad hoc composition of geoprocessing services are required, common for most non-expert users of geospatial information infrastructures.

Quality of live video streaming technology is based on quality of Experiences parameters (QoE). Approaching the peer-to-peer (P2P) or peerassisted networks as a sympathetic solution is highly required, especially in light of its authentic scalability and its extremely low initial cost requirements. However, the design of robust, efficient, and performing P2P streaming systems remains a high challenge when real-time constraints are part of the quality of service (QoS), as in TV distribution or conferencing applications. One of the P2P main issues that affect the quality of streaming is the neighbor selection methodology. The proposed work presents an effective mesh-based neighbor selection approaches for video streaming-Uniform Peer Distribution Algorithm (UPDA)based on QoS and QoE Parameters. UPDA shortens the latency to be ranging from 10 ms to 50 ms servicing up to 4000 online peers under failure / recovery tests. Simulation results demonstrate that the proposed UPDA achieves good performance in End-to End delay with a percentage of 10.4 % and packet delay variation about 2% compared to random neighbor selection method.

Quality of live video streaming technology is based on quality of Experiences parameters (QoE). Approaching the peer-to-peer (P2P) or peerassisted networks as a sympathetic solution is highly required, especially in light of its authentic scalability and its extremely low initial cost requirements. However, the design of robust, efficient, and performing P2P streaming systems remains a high challenge when real-time constraints are part of the quality of service (QoS), as in TV distribution or conferencing applications. One of the P2P main issues that affect the quality of streaming is the neighbor selection methodology. The proposed work presents an effective mesh-based neighbor selection approaches for video streaming-Uniform Peer Distribution Algorithm (UPDA)based on QoS and QoE Parameters. UPDA shortens the latency to be ranging from 10 ms to 50 ms servicing up to 4000 online peers under failure / recovery tests. Simulation results demonstrate that the proposed UPDA achieves good performance in End-to End delay with a percentage of 10.4 % and packet delay variation about 2% compared to random neighbor selection method.

monash.edu.au This paper outlines the framework of a complex system to demonstrate multimodal spatial and transactional intelligence in a robot which autonomously supports aged, frail, or otherwise disabled people in a domestic assistive technology context. The intention is that the robot be able to navigate around a known multi-room environment along optimal, collision-free paths in search and retrieval of requested objects such as spectacles, books etc. and must also be capable of tracking and following humans and of reminding them of times for meals, medication etc. and to lead disoriented subjects to their meal place at appropriate times and even dispense medication, if necessary. The modes of communication interchanges with the supported human include spoken speech and gestures (including eye gaze direction) within the context of situational analysis which accommodates recent history, temporal factors and individual user behavioural models. This paper provides an overview of an...

The aim of this paper is to describe an architecture named SWARCH (Sensor Web Architecture) that provides quality of service in the context of Sensor Web Enablement (SWE) standards. Sensor Web Enablement is a set of standards proposed by OGC (OpenGis Consortium). These standards provide a transparent and interoperable way to access data measured by sensors. Thus, SWARCH adds to these features of the SWE standard ways of service selection that meet several quality requirements such as response time, availability of sensors, measurement reliability, among others. Quality requirements are defined by users and a broker in the architecture. This broker allows appropriate selection of the sensor network that matches to the QoS parameters. To validate our results, a case study showing reductions up to 50% and 25% in access times to SOS and SES services are presented.

Smart-Device to Smart-Device (D2D) communications over Wi-Fi Direct (WFD) technologies in 5G network is still faces many dilemmas especially if mention some services available to the users such as social sharing of video streaming, audio and caching solutions, with massive number of mobile users, considering ratedistortion (RD) characteristics for QoS with finding the best way to calculate distance between multi-hop candidate devices and whether the device is static or moving with regard to characteristics of flow traffic speed such as High-Speed railways and subway with the mobility feature of communications according to the future demands in 5G. In this article, we present a survey of current methodologies and techniques related to neighboring discovery in the network area, interference management, and low energy consumption communication and its impact on multimedia delivery.

Issu du colloque organisé par le laboratoire LIRCES et l'ESRA, Nice, octobre 2016International audienceThe ways cinephilia has been represented in feature films is linked to the conception of an elitist attitude to cinema that started out in the 50s in Paris, but also to the Hollywood paradigm involving the Star system and the logic of film fans. Simultaneously, other kind of cinematographic content -documents, movies created by amateurs through popular education workshops -may have been considered as the evidence of a counterculture movement that would systematically challenge those dominant models, thus making it understandable only as related to them. The aim of this paper, from a socio-historical perspective, will be to analyse a set of documents and unseen amateur films, made by participants of audiovisual and cinematographic workshops held by the OROLEIS in Toulouse in the 70s. From these, the writings dealing with films are obviously prone to metadiscursive and dialectic ...

Wireless multimedia sensor network (WMSN) is one of broad wide application for developing a smart city. Each node in the WMSN has some primary components: sensor, microcontroller, wireless radio, and battery. The components of WMSN are used for sensing, computing, communicating between nodes, and flexibility of placement. However, the WMSN technology has some weakness, i.e. enormous power consumption when sending a media with a large size such as image, audio, and video files. Research had been conducted to reduce power consumption, such as file compression or power consumption management, in the process of sending data. We propose Green Communication (GeCom), which combines power control management and file compression methods to reduce the energy consumption. The power control management method controls data transmission. If the current data has high similarity with the previous one, then the data will not be sent. The compression method compresses massive data such as images before sending the data. We used the low energy image compression algorithm to compress the data for its ability to maintain the quality of images while producing a significant compression ratio. This method successfully reduced energy usage by 2% to 17% for each data.

Data-driven P2P streaming systems can potentially provide good playback rate to a large number of viewers. One important design problem in such P2P systems is to determine the optimal chunk selection policy that provides high continuity playback under the server's upload capacity constraint. We present a general and unified mathematical framework to analyze a large class of chunk selection policies. The analytical framework is asymptotically exact when the number of viewers is large. More importantly, we provide some interesting observations on the optimal chunk selection policy: it is of ∨-shaped and becomes more greedy as the upload capacity of the server increases. This insight helps content providers to deploy large scale streaming systems with a QoS-guarantee under a given cost constraint.

Quality of Experience (QoE) consists of a set of indicators that show the perceived satisfaction of using a multimedia (or other kind of) service by the end user. Being so the QoE presents a subjective metric and the only relevant mechanisms for measuring such indicators are subjective tests. Due to the fact that subjective tests are an expensive, impractical and in cases of live streaming a close to impossible exercise we set out on a twofold task to address this issue. First we set out to build prediction models using traditional Machine Learning (ML) techniques based on subjective test data. Second we explore an approach for reduction of the training dataset that will minimize the need for subjective data whilst keeping the prediction models as accurate as possible. For the first goal we used supervised learning based classification algorithms and we came up with high accuracy (over ninety percent) for the prediction models. To address the issue of high cost training data we developed a novel approach in reducing the training dataset while keeping a high accuracy of the classifiers. The reduction method provides a grading mechanism for unseen data. By having this mechanism in the online learning platform we can optimize the process of asking for user feedback by looking for the most significant cases, and therefore improving the gain on the trade-off between more feedback and more accuracy.

Quality of Experience (QoE) consists of a set of indicators that show the perceived satisfaction of using a multimedia (or other kind of) service by the end user. Being so the QoE presents a subjective metric and the only relevant mechanisms for measuring such indicators are subjective tests. Due to the fact that subjective tests are an expensive, impractical and in cases of live streaming a close to impossible exercise we set out on a twofold task to address this issue. First we set out to build prediction models using traditional Machine Learning (ML) techniques based on subjective test data. Second we explore an approach for reduction of the training dataset that will minimize the need for subjective data whilst keeping the prediction models as accurate as possible. For the first goal we used supervised learning based classification algorithms and we came up with high accuracy (over ninety percent) for the prediction models. To address the issue of high cost training data we developed a novel approach in reducing the training dataset while keeping a high accuracy of the classifiers. The reduction method provides a grading mechanism for unseen data. By having this mechanism in the online learning platform we can optimize the process of asking for user feedback by looking for the most significant cases, and therefore improving the gain on the trade-off between more feedback and more accuracy.

For Internet based real-time teleoperation systems, random time delay can cause instability in the closed loop control system and hence hinder task accomplishment. Event based control systems have been proposed to overcome the instability caused by the random time delay. High latency at the transport layer can still impede effective and reliable execution of tasks with high dexterity requirements. Network QoS based dynamic resource allocation has been proposed to increase the efficiency and reliability of task execution. However, these approaches only try to mitigate or overcome the effects of random time delay and do not address the cause of latency issues in the communication channel. This paper addresses the efficiency and reliability requirements for supermedia enhanced teleoperated systems by reducing the end-to-end transmission latency through the use of overlay networks. The proposed system reduces the transmission latency by using multiple, disjoint paths in overlay networks. The proposed system facilitates reliable and efficient task completion for tasks with high dexterity requirements. Experimental validation of the proposed teleoperated system using the PlanetLab Network is provided for the task of teleoperating a mobile manipulator system.

Energy consumption has risen to be a bottleneck in wireless sensor networks. This is caused by the challenges faced by these networks due to their tiny sensor nodes that have limited memory storage, small battery capacity, limited processing capability, and bandwidth. Data compression has been used to reduce energy consumption and improve network lifetime, as it reduces data size before it can be forwarded from the sensing node to the sink node in the network. In this paper, a survey and comparison of currently available data compression techniques in wireless sensor networks are conducted. Suitable sets of criteria are defined to classify existing data compression algorithms. An adaptive lossless data compression algorithm (ALDC) is analyzed through MATLAB coding and simulation from the reviewed data compression techniques. The analysis aims to discover strategies that can be used to reduce the amount of data further before it is transmitted. From this analysis, it was discovered that encoding residue samples, rather than raw data samples, reduced the bitstream from 112 bits to a range of 30 to 36 bits depending on the sample block sizes. The average length of data samples to be passed to the encoder was minimized from the original 14 bits per symbol to 1.125 bits per symbol. This demonstrated a 0.875 code efficiency or redundancy. It resulted in an energy saving of 67.8% to 73.2%. This work further proposes a data compression algorithm that encodes the residue samples with fewer bits than the ALDC algorithm. The algorithm reduced the bitstream to 26 bits. The average length of the code is equal to the entropy of the data samples, demonstrating zero redundancy and an improved energy saving of 76.8% compared to ALDC. The proposed algorithm, therefore, shows improved energy efficiency through data compression.

– The paper deals with the methods of security implementation in community areas based on certain high technology sensor system and communication methods. Security systems for home or industry have a lot to perform today in terms of reliability and performance. After examining the various modes for security management, the paper describes data collection and fusion which demand careful processing and discerning of the security problem. Herein, the problem of data detection without errors becomes important to avoid falsely discerning insecurity levels. This paper examines some signal management methods for error free operation of signals from Doppler motion sensors and camera image data. Amongst them this is considered the technique for encoding data using the Hilbert Transform. This is better for motion sensors with a few extra bits of transmission enabling error free reception at the monitoring computer station. Also considered are wavelet compression and transmission for remote si...

Wireless Sensor Nodes (motes) have witnessed rapid development in the last two decades. Though the design considerations for Wireless Sensor Networks (WSNs) have been widely discussed in the literature, limited investigation has been done for their application in pipeline surveillance. Given the increasing number of pipeline incidents across the globe, there is an urgent need for innovative and effective solutions for deterring the incessant pipeline incidents and attacks. WSN pose as a suitable candidate for such solutions, since they can be used to measure, detect and provide actionable information on pipeline physical characteristics such as temperature, pressure, video, oil and gas motion and environmental parameters. This paper presents specifications of motes for pipeline surveillance based on integrated systems architecture. The proposed architecture utilizes a Multi-Agent System (MAS) for the realization of an Integrated Oil Pipeline Monitoring and Incident Mitigation System (IOPMIMS) that can effectively monitor and provide actionable information for pipelines. The requirements and components of motes, different threats to pipelines and ways of detecting such threats presented in this paper will enable better deployment of pipeline surveillance systems for incident mitigation. It was identified that the shortcomings of the existing wireless sensor nodes as regards their application to pipeline surveillance are not effective for surveillance systems. The resulting specifications provide a framework for designing a cost-effective system, cognizant of the design considerations for wireless sensor motes used in pipeline surveillance.

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In the domain of content delivery over Internet, each of the Client/Server and P2P communication modes has its pros and cons. In this scope, hybrid network architectures have been recently proposed as a relevant solution. In this paper we propose a new hybrid architecture that is called P2PWeb, between the centralized client/server and the non-centralized P2P architectures for content delivery. The main objective of this proposal is to reduce the load over the server in order to provide a better Quality of Service (QoS) for the end-users. A new P2PWeb communication protocol has been implemented and deployed to reach the objective. The experimentation results and the performance evaluations that we have made show the efficiency of the proposed system in terms of QoS evaluations.

The aim of this paper is to describe a performance evaluation of the interface model of Sensor Web Enablement, especially highlighting the Sensor Observation Service, Sensor Event Service and Sensor Instance Registry. These standards provide a transparent and interoperable way to access data measured by sensors. Studies found in the literature do not treat a performance evaluation on highlighted services in a detailed way. So, the performance evaluation in our study considers several factors that can influence the access time on these services. The results show an important influence of different filter types in the service response times. The result analysis demonstrated that the implementation of application that uses these services should be careful on use of these filters, as, due their definition, the performance of these applications can decrease.

Ce travail de recherche consiste à analyser et à restituer les principaux faits qui illustrent les changements provoqués par le numérique dans les industries culturelles et les pratiques du cinéma Art et Essai en particulier. A l’ère de la projection numérique, les salles de cinéma vivent une véritable révolution technologique. Cette dernière induit un changement dans les modes de consommation et d’accès à la culture. L’analyse des salles de cinéma Utopia et le concept « vidéo en poche » témoigne d’un nouveau usage des biens culturels à l’ère de l’économie numérique.The present research sets out to study and scrutinise the key facts that illustrate the change in conditions caused by digital cultural industries and practice of the art of cinema and particularly the essay. In the era of digital projection, cinema halls are facing a true technological revolution. The latter induces a change in the consumption patterns and the access to culture The analysis of Utopia cinema halls and th...

The realization that single channel MAC protocols do not offer adequate end-to-end throughput has prompted researchers to explore more scalable approaches such as multi-channel MAC protocols. Multi-channel MAC protocols implementing a dedicated control channel offer promising solutions. However, it has been suggested that the use of a single control channel may lead to saturation problems. The saturation problem needs to be investigated. The paper proposes a cyclic scheduling algorithm, which schedules data transmission in phases. The scheme reduces the signalling overhead of the control channel and improves its capacity by reducing the effects of the channel switching delay and the idleness of the control channel. The scheme is connection oriented and implements the services of a network support systems, which provides the network with the required intelligence for data channels reservation. The scheme takes advantage of the integration of mesh routers and mesh clients in an overlaid wireless mesh networks (WMN). Mesh routers are also deployed in the ad hoc network of mesh clients to act as a network support backbone. The mesh routers forming the network support backbone are assumed to be within the communication range. We first analyze the control bottleneck problem of the proposed scheme as a channel selection and coordination problem requiring an effective channel scheduling technique. The scheduling techniques should be designed to minimize the effects of channel switching penalty on the control channel. The techniques should also increase the scheduling capacity of control channel. A single dedicated channel with at least two data channels and one transceiver system was considered in the analyses. The capacity of a single control channel is investigated as the number of data channels is increased from two to fourteen. Channel saturation is observed on data channels. Analytical results show that a single dedicated control channel causes no bottlenecks. Its capacity is affected by the saturation of data channels. The proposed scheme was also evaluated through NS 2 simulations. The numerical results show that the scheme is effective in reducing the signalling overhead.

This paper outlines the framework of a complex system to demonstrate multimodal spatial and transactional intelligence in a robot which autonomously supports aged, frail, or otherwise disabled people in a domestic assistive technology context. The intention is that the robot be able to navigate around a known multi-room environment along optimal, collision-free paths in search and retrieval of requested objects such as spectacles, books etc. and must also be capable of tracking and following humans and of reminding them of times for meals, medication etc. and to lead disoriented subjects to their meal place at appropriate times and even dispense medication, if necessary. The modes of communication interchanges with the supported human include spoken speech and gestures (including eye gaze direction) within the context of situational analysis which accommodates recent history, temporal factors and individual user behavioural models. This paper provides an overview of an ambitious res...

monash.edu.au This paper outlines the framework of a complex system to demonstrate multimodal spatial and transactional intelligence in a robot which autonomously supports aged, frail, or otherwise disabled people in a domestic assistive technology context. The intention is that the robot be able to navigate around a known multi-room environment along optimal, collision-free paths in search and retrieval of requested objects such as spectacles, books etc. and must also be capable of tracking and following humans and of reminding them of times for meals, medication etc. and to lead disoriented subjects to their meal place at appropriate times and even dispense medication, if necessary. The modes of communication interchanges with the supported human include spoken speech and gestures (including eye gaze direction) within the context of situational analysis which accommodates recent history, temporal factors and individual user behavioural models. This paper provides an overview of an...

We present a trust management system tailored to the needs of the BitTorrent protocol. Unlike other trust management systems, our system is partially decentralized and assumes unstructured BitTorrent swarms. In particular, we use the tracker of each BitTorrent swarm, to compute and distribute global trust scores complementing the local trust scores maintained by each peer. Our simulation study indicates that our system significantly minimizes the downloading by a rogue peer in the swarm. We also found out that it resulted in a fairer allocation of chunks among peers with different link bandwidths.

Abstract: OMiSCID 2.0 is a lightweight middleware for ubiquitous computing and ambient intelligence. Its main objective is to bring Service Oriented Architectures to all developers. After reviewing related works, we demonstrate how OMiSCID 2.0, compared to other available solutions, integrates easily in classical workflows without adding any constraints on the development process. A basic overview of our middleware is given along with brief technical descriptions demonstrating its User Friendly Application Programming Interface. ...

Issu du colloque organisé par le laboratoire LIRCES et l'ESRA, Nice, octobre 2016International audienceThe ways cinephilia has been represented in feature films is linked to the conception of an elitist attitude to cinema that started out in the 50s in Paris, but also to the Hollywood paradigm involving the Star system and the logic of film fans. Simultaneously, other kind of cinematographic content -documents, movies created by amateurs through popular education workshops -may have been considered as the evidence of a counterculture movement that would systematically challenge those dominant models, thus making it understandable only as related to them. The aim of this paper, from a socio-historical perspective, will be to analyse a set of documents and unseen amateur films, made by participants of audiovisual and cinematographic workshops held by the OROLEIS in Toulouse in the 70s. From these, the writings dealing with films are obviously prone to metadiscursive and dialectic ...

Recent distributed computing trends advocate the use of Representational State Transfer (REST) to alleviate the inherent complexity of the Web services standards in building service-oriented web applications. In this paper we focus on the particular case of geospatial services interfaced by the OGC Web Processing Service (WPS) specification in order to assess whether WPS-based geospatial services can be viewed from the architectural principles exposed in REST. Our concluding remarks suggest that the adoption of REST principles, to specially harness the built-in mechanisms of the HTTP application protocol, may be beneficial in scenarios where ad hoc composition of geoprocessing services are required, common for most non-expert users of geospatial information infrastructures.

Mobile location-based games, exploiting the unique capabilities of mobile devices, such as camera, GPS and compass, can have high learning potential. On one hand, they present a very attractive form of learning for modern students, even very young ones, who have already developed their skills in computer games and are very familiar with the use of mobile devices. On the other hand, location-based games provide a unique opportunity for education since they connect an area with a story, and their activities may result in social, experiential and situated learning. These characteristics can make them a powerful tool in a number of applications, including education, nature and museum exploration, city sightseeing, natural disasters awareness and prevention training. In this paper, we present the design and implementation of PlayLearn, a platform for the development and management of learning experiences in mobile location-based games, consisting of: (a) an authoring tool, supporting the...

Role players of any forensic investigation process record chronologically all forensic data resulted from their investigation, in order to be presented to the juries in the court of law. When such results are recorded and posted, they are called chain of custodies (CoCs). The forensic data provided within these documents play a vital role in the process of forensic investigation, because they answer questions about how evidences are collected, transported, analyzed, and preserved since their seizure through their production in court. Provenance metadata accompany these forensic data to answer questions about the origin of these data and build trustworthy between role players and juries in order to make the tangible CoCs admissible in the court of law. Nowadays, with the advent of the digital age, the forensic investigation is not only applied to physical crime, but also on digital evidences. The forensic data and their metadata presented in these tangible documents need also to undergo a radical transformation from paper to electronic data in order to accommodate this evolution. CoCs should be also readable and consumable not only by human but also by machines. The semantic web is a fertile land to represent and manage the tangible CoCs, because it uses web principles known as Linked Data Principles (LDP), which provide useful information in Resource Description Framework (RDF) format upon Unified Resource Identifiers (URI) resolution. In addition, it includes different provenance vocabularies that can be useful to express the forensic metadata. Generally, the power of LDP resides in publishing data publicly without any access restriction on the web. However, the openness of forensic data and their metadata should not be the same case. They should obey some access restriction in order to be shared only between role players and juries. Public Key Infrastructure (PKI) can be applied to restrict the access to some or all resources of represented data and bends the LDP from open to closed consumption, while maintaining the resolution of such restricted resources. Juries in turn will consume the restricted represented data using different LDP consumption applications. This paper provides the complete framework explaining how forensic and provenance data are represented and published using LDP, and how PKI can be used to restrict these data/resources in order to be shared in a closed scale. Evaluation of the framework using several empirical experimentations will not be on the scope of this paper.

Due to the development of so many different educational experiments in radio and television with more than 40 years of existence in many Latin American countries, the appearance of new institutional initiatives done by most of the educational institutions of Latin America and, facing the innovating approaches of technological convergence of telecommunications, the audiovisual means and computer science, with the possible complementarity and interrelation of radio, television and Internet in new broadband IP digital networks, it becomes necessary to raise new lines of future and intervention to encourage the Televisión Educativa Iberoamericana (TEIb) (Latin American Educational Television), Program of Cooperation of the Latin American Heads of States and Governments Summit, and its managing association, the ATEI. Debido al desarrollo de tantas y diversas experiencias de radio y televisión educativas con más de 40 años de existencia en muchos países iberoamericanos, la aparición de nu...

Peer-to-peer file sharing applications such as BitTorrent, Gnutella, and eDonkey are becoming widely utilized using desktops and handheld mobile devices. In this paper, we propose a lightweight model for peer-to-peer file sharing systems using mobile devices. The proposed model splits the peer-to-peer mobile client into two main modules: a mobile module that runs on the mobile device and a gateway module that runs separately on a dedicated server. In order to reduce computational requirements and energy consumption, the gateway server handles the connections to distributed peers over the Internet and downloads the required chunks of a requested file. The mobile device then simply connects to the gateway server to check the status of the download process and to get the requested file as soon as the download is complete. Therefore, the gateway relieves the mobile device from searching and downloading the file chunks. We present the general design and prototype implementation of the proposed model.