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Context-aware applications adapt their behavior based on collected contexts. However, contexts can be inaccurate due to sensing noise, which might cause applications to misbehave. One promising approach is to check contexts against consistency constraints at runtime, so as to detect context inconsistencies for applications and resolve them in time. The checking is typically immediate upon each collected...
Self-adaptive systems are modern applications in which the running software system should be able to react on its own, by dynamically adapting its behavior, for sustaining a required set of qualities of service, and dynamic changes in the context or in user requirements. They are typically involved in Future Internet development such as the Internet of Things where interoperability, flexibility, and...
The paper provides a contextualization process to adapt Open Knowledge Resources for the need of public administrations. By help of a matching strategy, culture and context profiles of learners and learning resources are compared. The comparison allows to draw inferences how to contextualize an open knowledge resource for own learning needs. An example is illustrated and future research fields are...
Embedded devices based on emerging technologies of the Internet of Things (IoT) are used to provide resources, business models and opportunities to build potential industrial systems improving manufacturing systems with efficient operations. In this context, IoT networks are dynamic environments and changes are also being increasingly frequent, modifying the environment execution. Nevertheless, severe...
Business process variability is an active research area in the field of business process management and deals with variations and commonalities among processes of a given process family. Many theoretical approaches have been suggested in the last years; however, practical implementations are rare and limited in their functionality. In this paper, we propose a new approach for business process variability...
Improving citizens' quality of life is one of the main goals of Smart Cities development. Accessibility of urban public spaces absolutely determines the living conditions for people. Technology provides new opportunities of autonomy for an increasing group of inhabitants with specific disabilities. This work proposes an urban model for improving accessibility based on the design of intelligent environments,...
Smart Home solutions are currently booming and apply to a variety of areas in order to improve inhabitants' quality of life. Many Smart Home solutions are based on service-oriented pervasive platforms providing context services. These services may correspond to devices (a lamp for instance) or to any computing unit providing useful functions (luminosity in a room for example). One of the big issues...
This paper introduces a methodology to design a Context-aware Adaptive System based on a layered software architecture. The model of the context awareness multi-modal traffic management takes into account the context parameters in order to adapt dynamically the decisions (choice of the best transportation route). The efficiency of the proposed technique is validated through a case study including...
In this paper we propose several novel approaches for incorporating forgetting mechanisms into sequential prediction based machine learning algorithms. The broad premise of our work, supported and motivated in part by recent findings stemming from neurology research on the development of human brains, is that knowledge acquisition and forgetting are complementary processes, and that learning can (perhaps...
The paper aims to identify the elements that make possible the appearance of emergent properties in organizations structured as social networks, considered as adaptive multi-agent complex systems. The dynamics of these communities (referring primarily to the increasing number of members who interact) was analyzed by the specific rules of scale-free networks growth and the specific principles of multi-agent...
Episodic memory which can store and recall episodes has been modeled by various research. Those models focus on encoding and retrieving the same sequence of events of episodes. In this paper, we propose context preference-based deep adaptive resonance theory (CPD-ART). CPD-ART uses a new approach in encoding and retrieving a temporal sequence of events considering subjects, preference criteria such...
Due to the number of cloud providers, as well as the extensive collection of services, cloud computing provides very flexible environments, where resources and services can be provisioned and released on demand. However, reconfiguration and adaptation mechanisms in cloud environments are very heterogeneous and often exhibit complex constraints. For example, when reconfiguring a cloud system, a set...
A network epidemics model based on the classical Polya urn scheme is investigated. Temporal contagion processes are generated on the network nodes via a modified Polya sampling scheme that accounts for spatial infection among neighboring nodes. The stochastic properties and the asymptotic behavior of the resulting network contagion process are analyzed. Unlike the classical Polya process, the network...
The development of context-adaptable user interfaces (UI) is a main requirement to handle change in the context of use, ensure user centeredness and improve UI usability. In context-adaptable UIs, context informations are acquired from the end-user. This later can provide informations about his preferences and/or about his environment and the execution platform if sensors do not succeed to detect...
Software testing plays a major role for engineering future systems that become more and more ubiquitous and also more critical for every days life. In order to fulfill the high demand, test automation is needed as a keystone. However, test automation, as it is used today, is counting on scripting and capture-and-replay and is not able to keep up with autonomous and intelligent systems. Therefore,...
Self-adaptive systems are able to manage themselves autonomously. A common approach to engineer these systems is to use the MAPE control loop based on these four steps: Monitoring, Analysis, Planning, and Execution. Existing research pays little attention to the modeling of self-adaptive systems with multiple MAPE control loops, and is lacking in considering the formal specification and verification...
Isolating fine-grained business functionalities byboundaries into entities called microservices is a core activityunderlying microservitization. We define microservitization asthe paradigm shift towards microservices. Determining theoptimal microservice boundaries (i.e. microservice granularity) is among the key microservitization design decisions thatinfluence the Quality of Service (QoS) of the...
Demanding for efficient compression and storage of DNA sequences has been rising with the rapid growth of DNA sequencing technologies. Existing reference-based algorithms map all patterns to regions found in the reference sequence, which lead to redundancy of incomplete similarity. This paper proposes an efficient reference-based method for DNA sequence compression that integrates FM-index and complementary...
We propose a new concept for adapting CNN-based acoustic models using spatial diffuseness features as auxiliary information about the acoustic environment: the spatial diffuseness features are simultaneously employed as acoustic-model input features and to estimate environmental cues for context adaptation, where one convolutional layer is factorized into several sub-layers to represent different...
We consider a non-stationary data stream in which the data statistics may change abruptly from one sample to another, i.e. each sample might be generated from a different (unknown) source in a mixture of K sources. The problem of identifying the models and parameters of K sources, as well as the source switching model is investigated. We proposed an algorithm based on Bayesian Information Criterion...
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