Mobile Cloud Computing is a new concept, which offers resources and services for mobile devices. It also brings several advantages to devices the applications developed them. However, it increases security risks privacy invasion due fact that combines with because there not well-defined application model. The issues are treated independently existing solutions supplied separately by various providers. In this paper, we propose framework secure data transmitted between components of same...

In this paper we propose an ontology based representation of the affective states for context aware applications that allows expressing complex relations are among and between these other elements. This is open to map different spaces; basic secondary relation (using Fuzzy Logic), elements as location, time, person, activity etc. The proposed model encoded in OWL. Due difficulties direct detection a method infer characteristic values from values. deduces used here improve behavior Context...

The easiest way for a user to express his needs regarding desired service is use natural language. main issues come from the fact that language incomplete and ambiguous, while composition process should lead valid services. In this paper we propose assemblage method based on templates (patterns). of assures result always valid. proposed system, called NLSC (Natural Language Service Composer), was implemented top service-oriented middleware WComp tested in an intelligent home environment.

The aim of our research is to find an efficient solution the services QoS optimization problem. This NP-hard problem well known in service-oriented computing field: given a business workflow that includes set abstract and concrete service implementations for each service, goal optimal combination services. majority recent proposals indicate Genetic Algorithms (GA) as best approach complex workflows. But this usually needs be solved at runtime, task which GA may too slow. We propose new...

Autonomic adaptation is a very ambitious emerging domain aiming to build self-adaptable systems. The most important advantages of these systems are: easier complexity management, autonomous service evolution and proactive behaviour. In the 'classical' adaptive systems, developer must solve 'manually' two problems. first one determine priori adequacy each possible context. second depends on it specify strategy, reconfiguration suite, which will transform an inadequate into adequate one. order...

Mobile learning is becoming a common experience especially for young people by using state-of-the-art mobile devices able to process large amount of information and equipped with responsive displays different kind sensors. In the development such applications, ability notice user behaviour emotions can lead better experiences thus increasing acceptance efficiency software products. this paper we propose multimodal affective monitoring tool that grasp data from sensors in quest more precise...

The widespread and diversity of Web services in the ubiquitous computing era impossibility to predict a priori all possible user demands, generates need system capable dynamically composing new services, based on unrestricted natural language requests.In order create such two problems be solved: (a) retrieval required (b) service orchestration that fulfills request. We solve first problem by using concepts associated with we define conceptual distance between request configuration. Retrieved...

The punishment effect on social behavior is analyzed within the strategic interaction framework of Cellular Automata and computational Evolutionary Game Theory. A new game, called Social Honesty (SH), proposed. SH game in spatial configurations. Probabilistic used as a dishonesty deterrence mechanism. In order to capture intrinsic uncertainty environments, payoffs are described random variables. New dynamics, with relation between probability severity, revealed. Punishment proves be more...

Interactive Evolutionary Computation (IEC) community aims at reducing user's fatigue during an optimization task involving subjective criteria: a set of graphic potential solutions are simultaneously shown to user which is identify most interesting the problem he had solve. operators applied choices expecting produce better solutions. As traditional IEC ask give mark each solution or explicitly choose bests with mouse, we propose new framework that uses in real time gaze information predict...

Today's trend in education is to integrate computer-based tasks with practical activities. Students are often encouraged work groups solve complex and develop collaboration skills. But classical grouping strategies can't be used eLearning environments where there's little or no physical interaction between parties. We introduce a method that takes into account the student typologies neuro-linguistic programming (NLP) profile. Typologies determined, according Enneagram methodology, RHETI...

The widespread of Web services in the ubiquitous computing era and impossibility to predict a priori all possible user needs generates necessity for on-demand service composition. Natural language is one easiest ways express what he expects regarding service. Two main problems need be solved order create composite satisfy user: a)retrieval relevant b) orchestration/composition selected fulfill request. We solve first problem by using semantic concepts associated with we define conceptual...

The mobility has become a valuable necessity for information technology users. Along with this property, smart phone user, the following aspects are also important: storage space, energy consumption, applications complexity and efficiency. Comparing to standalone mobile applications, cloud make use of resource sharing, have richer functionality reduced costs. On other hand, raise some problems related data security, privacy trust. In paper, we analyze need propose scenario an e-health...

Web services QoS optimization problem using the concept of Lorenz dominance is addressed. solutions are equitable and well balanced. Such an approach could simplify Decision Maker's choice. Evolutionary detection solution seem to be appealing one. Some state-of-the art MOEAs slightly modified for addressing problem. drastically reduce number in Pareto set, thus decision costs.

Grouping students in e-learning using alternative methodologies offers complementary results education. Today's trend education is to integrate computer-based tasks with practical activities. Students are often encouraged work groups solve complex and develop collaboration skills. But classical grouping strategies can’t be used environments where there’s little or no physical interaction between parties. We introduce a method that takes into account the student typologies neuro-linguistic...