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The methodology of case base reasoning (CBR) is proposed to perform supervisory tasks in industrial process. An outlook of main difficulties in applying this methodology in dynamic systems is contrasted with the benefits of applying it. A generic case definition is proposed to achieve supervisory tasks in the domain of dynamic systems. This methodology has been implemented for improving the control...
Sensor-based activity monitoring systems promise to prolong independent living of frail elderly people, including those affected by cognitive disorders. Different solutions are already available on the market, which use wireless sensors installed in the home to track the daily living routines of the senior. Those systems provide caregivers with statistics about detected activities; some of them may...
We present a mobile decision support system (mDSS) which helps patients adhere to best clinical practice by providing pervasive and evidence-based health guidance via their smartphones. Similar to some existing clinical DSSs, the mDSS is designed to execute clinical guidelines, but it operates on streaming data from, e.g., body sensor networks instead of persistent data from clinical databases. Therefore,...
Open-source repository data can be automatically mined using sequence mining methods to provide high-level feedback on project status. GitHub.com projects are acquired, sequence-mined, clustered, and regressed to analyze project characteristics. Such results can be presented to project managers, as part of a display generated by an automated monitoring system. Such monitoring systems provide high-level...
This paper investigates the challenges in developing a semantic-based Dementia Care Decision Support System based on the non-intrusive monitoring of the patient's behaviour. Semantic-based approaches are well suited for modelling context-aware scenarios similar to Dementia care systems, where the patient's dynamic behaviour observations (occupants movement, equipment use) need to be analysed against...
In recent years, developments in Internet of things and ubiquitous computing have created new opportunities to promote sensors participation in environmental, military and personalized monitoring. Up to now, sensor networks have been proposed for various applications, which are however characterized by a lack of interoperability. In this context, the paper gives a survey on semantic sensor web, and...
Given cloud-based realization of a distributed system S, QoS auditing enables risk analysis and accounting of SLA violations under various security threats and resource depletion faced by S. The problem of QoS failures and security infringements arises due to third-party control of the underlying cloud resources and components. Here, a major issue is to reason about how well the system internal mechanisms...
Fleet management is actually a very hot topic in development and research. Modern organizations such as goods transportation companies and emergency/security agencies need to track and coordinate their resources in real-time, typically for supporting control-center officers and optimizing the overall planning. This kind of tools are called decision support systems. This paper introduces the architecture...
Recently, the idea that the Internet of Things (IoT) systems can be advantaged in many ways by integrating social networking concepts is gaining momentum. In this paper we present the social approach that the COSMOS project introduces. COSMOS supports knowledge flow between Things in order to provide a system that learns, observes and evaluates the usage and communication patterns and generates new...
In all the projects centered on the promotion of self-regulation, self-regulation strategies and learning strategies are taught, to enable the students to use them in order to improve their learning and self-regulatory skills. When the students use these strategies, they choose the tools that they want to use to implement the strategies, pen and paper in many cases, and generic software tools in other...
In this paper we present our approach in the field of Intelligent Tutoring System (ITS), in fact the risk of dropping out for learners have emerged as crucial issues to be solved. So it is necessary to ensure an individualized and continuous learner's follow-up during learning process. Several research effort has been spent on the development of ITS. However the available literature does not generally...
Cloud computing enables elastic resource provisioning on demand and removes the boundaries of resources' physical locations. The number of cloud-based services is on the rise due to the growing interest from both providers and consumers. These services are characterized by a large number of features or properties, which makes the automatic service selection and deployment challenging. This paper proposes...
The ability to run and manage multi-clouds applications (i.e., Applications that run on multiple clouds) allows exploiting the peculiarities of each cloud solution and hence improves non-functional aspects such as availability, cost, and scalability. Monitoring such multi-clouds applications is fundamental to track the health of the applications themselves and of their underlying infrastructures as...
We describe an approach to the representation of requirements using answer set programming and how this leads to a vision for the role of artificial intelligence techniques in software engineering with a particular focus on adaptive business systems. We outline how the approach has developed over several years through a combination of commercial software development and artificial intelligence research,...
This paper briefly introduces the effort focused on developing an integrated cognitive model of the manual RVD task in the ACT-R cognitive architecture. The descriptions about the manual RVD task and ACT-R have been shown and preliminary analysis of the control strategies has also been made. The comparison results of the performance between human operators and the cognitive model show that the control...
The accuracy of soil moisture depends on these sensors' observation capability. Current methods have simple inference rules to provide obvious results for users, which have not clear connection between the sensors and specific application. This paper proposes an ontology and the reason rules of observation capability about optical satellite sensor, in order to mine deeper observation capability of...
Main objective of the paper is to create a generic methodology as well as context sensitive services based on an ontological approach, to support decision support across various application domains (e.g, manufacturing, software engineering). It is investigated how context sensitivity can be used in order to achieve high adaptivity of software solutions for decision support within the addressed application...
Despite the fact that current device works significantly well on the utilization of geothermal, the management is still extensive and relies on human experiences mainly. For such reasons, the device parameters cannot be flexible enough to make full advantage of the device and the geothermal cannot be fully utilized. To solve this problem, this paper analyzes and compares some existing expert system...
Multiple Security Domains Nondeducibility, MSDND, yields results even when the attack hides important information from electronic monitors and human operators. Because MSDND is based upon modal frames, it is able to analyze the event system as it progresses rather than relying on traces of the system. Not only does it provide results as the system evolves, MSDND can point out attacks designed to be...
Integration of data from heterogeneous data sources is one of several technical challenges during the tunnel construction. BIM and relational database have maken their efforts for tunnel data organization, but they are not qualified for tunnel problem reasoning. This paper proposes a tunnel data organization method driven by Ontology, which is suitable for data reorganization as well as reasoning...
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