157,967 research outputs found

    Svjesnost konteksta u mreži pokretnih programskih agenata

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    The paper deals with context awareness in information, communication and computing systems and context introduction in mobile software agent network. Mobile agent network is a formal system that includes a multi-agent system residing in a network of interconnected nodes, which hosts agents, allowing their operation, communication and migration. Software agents can help in managing complex relationships between information and communication service users and service providers. The role of intelligent and mobile agents representing service users and service providers in the network and supporting context awareness is considered. Context is defined as any information that can be used to characterize the situation of an entity respecting its physical, social, communication and computing environment. A unified treatment of context information contained in the user profile, presence service and those relevant for general context-aware systems is proposed in order to preserve the functionality and performance evaluation capabilities of the mobile agent network. The approach elaborated in the paper is based on conceptual context representation, system services and agent operations required for supporting context-awareness in the mobile agent network. Case study on agent-based ad-hoc social network service is included.Rad se bavi svjesnošću konteksta u informacijskim, komunikacijskim i računalnim sustavima i uvođenjem konteksta u mrežu pokretnih programskih agenata. Mreža pokretnih agenata je formalni sustav koji uključuje višeagentski sustav koji djeluje u mreži međusobno povezanih čvorova koji udomljuju agente, omogućujući im provedbu operacija, komunikaciju i migraciju. Programski agenti mogu pridonijeti upravljanju složenih odnosa između korisnika i davatelja informacijskih i komunikacijskih usluga. Razmatra se uloga inteligentnih i pokretnih agenata koji predstavljaju korisnike i davatelje usluga u mreži te im omogućuju kontekstno svjesnu potporu. Kontekst se definira kao svaka informacija kojom se može obilježiti situacija nekog entiteta uvažavajući njegovo fizičko, društveno, komunikacijsko i računalno okružje. Predlaže se objedinjeno tretiranje kontekstne informacije sadržane u korisničkom profilu, usluzi nazočnosti, kao i one mjerodavne za opće kontekstnosvjesne sustave, kako bi se očuvala mogućnost evaluacije funkcionalnosti i performansi mreže pokretnih agenata. Pristup obrađen u radu zasniva se na koncepcijskom predočavanju konteksta te uslugama sustava i agentskim operacijama potrebnima za potporu konteksta u mreži pokretnih agenata. Uključen je studijski primjer agentski zasnovanog ad-hoc društvenog umrežavanja

    Development of ambient intelligence systems based on collaborative task models

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    So far, the Ambient Intelligence (AmI) paradigm has been applied to the development of a great variety of real systems. They use advanced technologies such as ubiquitous computing, natural interaction and active spaces, which become part of social environments. In the design of AmI systems, the inherent collaboration among users (with the purpose of achieving common goals) is usually represented and treated in an ad-hoc manner. However, the development of this kind of systems can take advantage of rich design models which embrace concepts in the domain of collaborative systems in order to provide the adequate support for explicit or implicit collaboration. Thereby, relevant requirements to be satisfied, such as an effective coordination of human activities by means of task scheduling, demand to dynamically manage and provide group- and context-awareness information. This paper addresses the integration of both proactive and collaborative aspects into a unique design model for the development of AmI systems; in particular, the proposal has been applied to a learning system. Furthermore, the implementation of this system is based on a blackboardbased architecture, which provides a well-defined high-level interface to the physical layer.This research is partially supported by a Spanish R&D Project TIN2004-03140, Ubiquitous Collaborative Adaptive Training (U-CAT)

    MOSAIC vision and scenarios for mobile collaborative work related to health and wellbeing

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    The main objective of the MOSAIC project is to accelerate innovation in Mobile Worker Support Environments by shaping future research and innovation activities in Europe. The modus operandi of MOSAIC is to develop visions and illustrative scenarios for future collaborative workspaces involving mobile and location-aware working. Analysis of the scenarios is input to the process of road mapping with the purpose of developing strategies for R&D leading to deployment of innovative mobile work technologies and applications across different domains. This paper relates to one specific domain, that of Health and Wellbeing. The focus is therefore is on mobile working environments which enable mobile collaborative working related to the domain of healthcare and wellbeing services for citizens. This paper reports the work of MOSAIC T2.2 on the vision and scenarios for mobile collaborative work related to this domain. This work was also an input to the activity of developing the MOSAIC roadmap for future research and development targeted at realization of the future Health and Wellbeing vision. The MOSAIC validation process for the Health and Wellbeing scenarios is described and one scenario – the Major Incident Scenario - is presented in detail

    Training of Crisis Mappers and Map Production from Multi-sensor Data: Vernazza Case Study (Cinque Terre National Park, Italy)

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    This aim of paper is to presents the development of a multidisciplinary project carried out by the cooperation between Politecnico di Torino and ITHACA (Information Technology for Humanitarian Assistance, Cooperation and Action). The goal of the project was the training in geospatial data acquiring and processing for students attending Architecture and Engineering Courses, in order to start up a team of "volunteer mappers". Indeed, the project is aimed to document the environmental and built heritage subject to disaster; the purpose is to improve the capabilities of the actors involved in the activities connected in geospatial data collection, integration and sharing. The proposed area for testing the training activities is the Cinque Terre National Park, registered in the World Heritage List since 1997. The area was affected by flood on the 25th of October 2011. According to other international experiences, the group is expected to be active after emergencies in order to upgrade maps, using data acquired by typical geomatic methods and techniques such as terrestrial and aerial Lidar, close-range and aerial photogrammetry, topographic and GNSS instruments etc.; or by non conventional systems and instruments such us UAV, mobile mapping etc. The ultimate goal is to implement a WebGIS platform to share all the data collected with local authorities and the Civil Protectio

    Separation Framework: An Enabler for Cooperative and D2D Communication for Future 5G Networks

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    Soaring capacity and coverage demands dictate that future cellular networks need to soon migrate towards ultra-dense networks. However, network densification comes with a host of challenges that include compromised energy efficiency, complex interference management, cumbersome mobility management, burdensome signaling overheads and higher backhaul costs. Interestingly, most of the problems, that beleaguer network densification, stem from legacy networks' one common feature i.e., tight coupling between the control and data planes regardless of their degree of heterogeneity and cell density. Consequently, in wake of 5G, control and data planes separation architecture (SARC) has recently been conceived as a promising paradigm that has potential to address most of aforementioned challenges. In this article, we review various proposals that have been presented in literature so far to enable SARC. More specifically, we analyze how and to what degree various SARC proposals address the four main challenges in network densification namely: energy efficiency, system level capacity maximization, interference management and mobility management. We then focus on two salient features of future cellular networks that have not yet been adapted in legacy networks at wide scale and thus remain a hallmark of 5G, i.e., coordinated multipoint (CoMP), and device-to-device (D2D) communications. After providing necessary background on CoMP and D2D, we analyze how SARC can particularly act as a major enabler for CoMP and D2D in context of 5G. This article thus serves as both a tutorial as well as an up to date survey on SARC, CoMP and D2D. Most importantly, the article provides an extensive outlook of challenges and opportunities that lie at the crossroads of these three mutually entangled emerging technologies.Comment: 28 pages, 11 figures, IEEE Communications Surveys & Tutorials 201

    Smart objects as building blocks for the internet of things

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    The combination of the Internet and emerging technologies such as nearfield communications, real-time localization, and embedded sensors lets us transform everyday objects into smart objects that can understand and react to their environment. Such objects are building blocks for the Internet of Things and enable novel computing applications. As a step toward design and architectural principles for smart objects, the authors introduce a hierarchy of architectures with increasing levels of real-world awareness and interactivity. In particular, they describe activity-, policy-, and process-aware smart objects and demonstrate how the respective architectural abstractions support increasingly complex application
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