scholarly journals Σύστημα διάχυτης και διεισδυτικής υπολογιστικής με επίγνωση του περιβάλλοντος

2008 ◽  
Author(s):  
Μαρία Στριμπάκου

Η έννοια της διάχυτης και διεισδυτικής υπολογιστικής (Pervasive Computing - PerCom) είναι συνυφασμένη με το μέλλον των υπολογιστικών και επικοινωνιακών συστημάτων επόμενης γενιάς. Αυτή η βιομηχανία είναι μια άγνωστη αλλά πολλά υποσχόμενη περιοχή, δεδομένου ότι η διεισδυτικότητα θα δημιουργήσει πολλές νέες επιχειρηματικές ευκαιρίες. Η διάχυση της νοημοσύνης στα καθημερινά αντικείμενα, λόγω της σμίκρυνσης και της μείωσης των δαπανών του υλικού, σε συνδυασμό με τα ερευνητικά αποτελέσματα που πραγματοποιούνται από τις διάφορες πρωτοβουλίες στον τομέα PerCom, θα αλλάξει τον τρόπο με τον οποίο αλληλεπιδρούν οι παροχείς με τους πελάτες. Υπό αυτό το πρίσμα η επιχειρηματικότητα θα συναντήσει τους ανθρώπους σύμφωνα με τους όρους τους, ενώ η γεωγραφική θέση του πελάτη θα είναι η θέση του επιχειρηματικού πεδίου δράσης του παροχέα. Καθώς λοιπόν εξελίσσονται τα παραδοσιακά συστήματα, μια σημαντική πτυχή που πρέπει να μελετηθεί είναι η επίγνωση του περιβάλλοντος (context-awareness). Η δημιουργία και παροχή υπηρεσιών που έχουν επίγνωση του περιβάλλοντος (context-aware services) είναι μια από τις κρισιμότερες απαιτήσεις κατά την υλοποίηση της διάχυτης υπολογιστικής. Ο όρος "πληροφορίες περιβάλλοντος" (context) αναφέρεται στην περιρρέουσα φυσική και κοινωνική κατάσταση και θεωρείται βασικό εργαλείο στις προσπάθειες των υπεύθυνων για την ανάπτυξη να διασκορπίσουν και να ενσωματώσουν άρρηκτα την υπολογιστική PerCom στην ανθρώπινη καθημερινότητα. Ο κυριότερος στόχος της υπολογιστικής επίγνωσης του περιβάλλοντος (context-aware computing) είναι να αποκτηθούν και να αξιοποιηθούν πληροφορίες από τον περιρρέοντα χώρο ώστε να παρέχονται υπηρεσίες που είναι κατάλληλες για συγκεκριμένους ανθρώπους, σε συγκεκριμένο τόπο, χρόνο, γεγονότα, κ.λπ. Υπό αυτό το πρίσμα η υπολογιστική επίγνωσης του περιβάλλοντος είναι σε θέση να σφυρηλατήσει νέους συνδυασμούς των υπαρχουσών και μελλοντικών τεχνολογιών και να δημιουργήσει μία τεχνολογική πραγματικότητα ζωηρότερη και πιο ευφάνταστη πιθανόν από κάθε άλλη που προηγήθηκε. Η παρούσα διατριβή δίνει απαντήσεις σε προβλήματα τα οποία δεν έχουν ακόμη αντιμετωπιστεί στα πλαίσια της υπολογιστικής επίγνωσης του περιβάλλοντος, καλύπτοντας θέματα που αφορούν τη σχεδίαση, την ανάπτυξη, την προώθηση και την αξιολόγηση ενός συστήματος διαχείρισης πληροφοριών περιβάλλοντος. Έπειτα από την παρουσίαση της έννοιας της διάχυτης υπολογιστικής, η διατριβή εστιάζει στην υπολογιστική επίγνωσης του περιβάλλοντος και αναλύει τα αναδυόμενα ζητήματα και προκλήσεις κατά την υλοποίηση μεθόδων αποδοτικής διαχείρισης της πληροφορίας που ανακτάται από το περιβάλλον, ενώ πραγματοποιείται μία επισκόπηση των σχετικών λύσεων μεσισμικού. Ακολούθως η διατριβή επικεντρώνεται στους εξής θεμελιώδεις μηχανισμούς βελτιστοποίησης των λειτουργιών διαχείρισης της πληροφορίας περιβάλλοντος: (i) Επιλογή και υλοποίηση ενός αποδοτικού μοντέλου αναπαράστασης πληροφοριών context, (ii) σχεδιασμός ενός ολοκληρωμένου αρχιτεκτονικού πλαισίου που υποστηρίζει προηγμένους μηχανισμούς επικοινωνίας, διαχείρισης και αποθήκευσης πληροφοριών context, ενώ προδιαγράφει ειδικές μεθόδους διαχείρισης της κινητικότητας του χρήστη, (iii) υλοποίηση και αξιολόγηση ευφυών μηχανισμών σημασιολογικής αναζήτησης κατανεμημένων πληροφοριών context σε κείμενα ελεύθερης περιγραφής και (iv) σχεδιασμός και αποτίμηση ενός καινοτομικού μοντέλου διανομής και ενημέρωσης αντιγράφων context σε κατανεμημένους κόμβους του δικτύου.

Author(s):  
Amina HAMEURLAINE ◽  
Samiha Brahimi

This chapter is consecrated to provide background information that encompass the basic concepts of context-aware pervasive computing systems. The major challenges that researchers need to consider when conducting research in context-aware pervasive computing systems and the most interesting approaches that can be used in order to deal with these challenges are reviewed. This chapter describes also the basic design principles of context-aware pervasive systems and depicts different models for representing and reasoning upon contextual information and an overview of the most known development frameworks of context-aware systems and application adaptation is presented too. Moreover, this chapter describes the usefulness of using context-awareness in ubiquitous healthcare domain and the major challenges in using context-awareness in this domain. The well-known works that have been proposed in the field of Ubiquitous healthcare are discussed too.


2021 ◽  
Vol 9 (2) ◽  
pp. 1022-1030
Author(s):  
Shivakumar. C, Et. al.

In this Context-aware computing era, everything is being automated and because of this, smart system’s count been incrementing day by day.  The smart system is all about context awareness, which is a synergy with the objects in the system. The result of the interaction between the users and the sensors is nothing but the repository of the vast amount of context data. Now the challenging task is to represent, store, and retrieve context data. So, in this research work, we have provided solutions to context storage. Since the data generated from the sensor network is dynamic, we have represented data using Context dimension tree, stored the data in cloud-based ‘MongoDB’, which is a NoSQL. It provides dynamic schema and reasoning data using If-Then rules with RETE algorithm. The Novel research work is the integration of NoSQL cloud-based MongoDB, rule-based RETE algorithm and CLIPS tool architecture. This integration helps us to represent, store, retrieve and derive inferences from the context data efficiently..                       


Author(s):  
Pawan Kumar ◽  
Adwitiya Sinha

In the modern era of technological advancements, internet of things (IoT) and social network of things (SNoT) have gained vitality with the extensive application of sensors for accumulation of socially relevant data. A colossal amount of social data collected becomes unfeasible to process and deliver with progress in time and domain. Therefore, a major problem lies in analysis, interpretation, and understanding of the huge amount of social data. This challenge has been greatly leveraged by context-aware computing, which permits storing context information so that meaningful analysis of data can be achieved. Also, the importance of context-aware social networking and network diffusion is elaborated with the aim to develop effective solutions to issues in this domain. The main concept here is people around a person share common experiences with that person, which in turn can be made interactive, thereby leading to collective and quick resolving of problems. Social network of things is closely coupled with context awareness to make interpretation of big data easier and compatible to recent trends.


Author(s):  
Bessam Abdulrazak ◽  
Patrice Roy ◽  
Charles Gouin-Vallerand ◽  
Yacine Belala ◽  
Sylvain Giroux

Context-aware software provides adapted services to users or other software components. On the other hand, Autonomic Pervasive Computing uses context to reduce the complexity of pervasive system utilization, management and maintenance. This paper describes two context-awareness models, the macro and micro approaches, that define and integrate contextual views of individual pervasive components (micro level) and global knowledge of the system (macro level), and provides a more detailed overview of a micro Context-aware programming model for open smart space problems. These models are presented and compared with respect to their ability to meet the requirements of the Autonomic Pervasive Computing concept of the four selves.


2010 ◽  
Vol 2 (3) ◽  
pp. 31-43 ◽  
Author(s):  
Darren Black ◽  
Nils Jakob Clemmensen ◽  
Mikael B. Skov

Shopping in the real world is becoming an increasingly interactive experience as stores integrate various technologies to support shoppers. Based on an empirical study of supermarket shoppers, the authors designed a mobile context-aware system called the Context-Aware Shopping Trolley (CAST). The purpose of CAST is to support shopping in supermarkets through context-awareness and acquiring user attention, thus, the authors’ interactive trolley guides and directs shoppers in the handling and finding of groceries. An empirical evaluation showed that shoppers using CAST behaved differently than shoppers using a traditional trolley. Specifically, shoppers using CAST exhibited a more uniform pattern of product collection and found products more easily while travelling a shorter distance. As such, the study finds that CAST supported the supermarket shopping activity.


2019 ◽  
pp. 524-545 ◽  
Author(s):  
Pawan Kumar ◽  
Adwitiya Sinha

In the modern era of technological advancements, internet of things (IoT) and social network of things (SNoT) have gained vitality with the extensive application of sensors for accumulation of socially relevant data. A colossal amount of social data collected becomes unfeasible to process and deliver with progress in time and domain. Therefore, a major problem lies in analysis, interpretation, and understanding of the huge amount of social data. This challenge has been greatly leveraged by context-aware computing, which permits storing context information so that meaningful analysis of data can be achieved. Also, the importance of context-aware social networking and network diffusion is elaborated with the aim to develop effective solutions to issues in this domain. The main concept here is people around a person share common experiences with that person, which in turn can be made interactive, thereby leading to collective and quick resolving of problems. Social network of things is closely coupled with context awareness to make interpretation of big data easier and compatible to recent trends.


Author(s):  
Taha Abdelmoutaleb Cherfia ◽  
Faïza Belala

In the past few years, context-aware computing has become one of the most promising topics of ubiquitous (pervasive) computing where computers are integrated and vanish in the background of users everyday activities. A context-aware system is a ubiquitous system, which is able to adapt its behavior automatically according to the gathered context information. However, due to the increasing complexity and diversity of such systems, the modeling process has become a major challenge for the ubiquitous computing community. In order to address this critical issue, different bigraphical reactive systems based approaches have been proposed to ease the modeling of some aspects of context-aware systems. Therefore, this paper presents a study attempting to show how bigraphs work under these approaches, and to illustrate the efficiency of our proposed approach in terms of addressing various aspects of context-aware systems.


Author(s):  
Juan-Carlos Cano ◽  
Carlos Tavares Calafate ◽  
Jose Cano ◽  
Pietro Manzoni

Communication technologies are currently addressing our daily lives. Internet, fixed-line networks, wireless networks, and sensor technologies are converging, and seamless communication is expected to become widely available. Meanwhile, the miniaturization of devices and the rapid proliferation of handheld devices have paved the path towards pervasive computing and ubiquitous scenarios. The term ubiquitous and pervasive computing refers to making many computing devices available throughout the physical environment, while making them effectively invisible to the user (Weiser, 1991). Thanks to advances in the devices’ processing power, extended battery life, and the proliferation of mobile computing services, the realization of ubiquitous computing has become more apparent, being a major motivation for developing location and context-aware information delivery systems. Strongly related to ubiquitous computing is context-aware computing. In context-aware computing, the applications may change or adapt their functions, information, and user interface depending on the context and the client’s profile (Weiser, 1993). Many research centers and industries are actively working on the issues of context-awareness or more generally on ubiquitous computing (Baldauf, Dustdar, & Rosenberg, 2007). In particular, several proposals focus on smart spaces and intelligent environments (Harter, Hopper, Steggeles, Ward, & Webster, 1999; Kindberg et al., 2002; Smart-its, 2007), where it is expected that smart devices all around us will maintain updated information about their locations, the contexts in which they are being used, and relevant data about the users. Clearly, contextual services represent a milestone in today’s mobile computing paradigm, providing timely information anytime, anywhere. Nevertheless, there are still few examples of pervasive computing environments moving out from academic laboratories into our everyday lives. This occurs since pervasive technologies are still premature, and also because it is hard to define what a real pervasive system should be like. Moreover, despite the wide range of services and potential smart applications that can benefit from using such systems, there is still no clear insight about a realistic killer application.


2013 ◽  
Vol 411-414 ◽  
pp. 545-548
Author(s):  
Dong Xu ◽  
Gang Zhu ◽  
De Zhen Xu

Context-aware computing is an important aspect of Pervasive Computing, Cyber-physical Systems (CPS), Cloud computing, etc. Recently, few works have been reported on formal approaches for this area. Bigraph was proposed as a mathematical structure that is consist of two graphs, a place graph and a link graph, intended for modeling distributed, mobile systems, etc. Bigraphs and its corresponding Bigraphical Reactive Systems (BRSs) present a modern, graphical structure, algebra calculus for the description of the syntax and semantics of systems in accordance with the orthogonal notions of connectivity and locality. Bigraphs and BRSs have been applied in various areas. Bigraph is used to formalize context-aware models in this paper. Then, we present an approach to check the formal context-aware models. The formalisms and checking are explicitly depicted through a simple but non-trivial example.


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