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The UK is one of these countries in Europe, which have the highest death rate from asthma, and the rules to identify asthma control steps are vague in the current official guideline of asthma management. In this research, diagnosis rules on asthma control steps are developed to supplement the current guideline and to assist patients to monitor and manage their asthma on daily basis. The main challenge...
Smartphones are used in the framework of the FARSEEING-InChianti study to gain information on activities of daily living and define objective physical activity profiles. In this study we aimed to investigate the association between mean and extreme values of physical activity and gait characteristics derived from daily living activities and well-established clinical tools. 171 older adults from the...
Cognitive SDN orchestration over 400-Gbps OPS and Tbps-class Flexi-WDM networks is demonstrated, where the SDN-controllable OFDM transponders and the extended transport API enable the congestion-aware provisioning of end-to-end real-time services.
To solve the problem of using information to control behavior for unmanned underwater vehicle (UUV), this paper presents a situation awareness method on the basis of ontology. During the period of UUV operation, situation perceived information is more important for the safety of UUV and therefore, real-time and accurate perception of the situation has an important impact on UUV autonomous decision...
Nonintrusive Load Monitoring (NILM) provides information about the electrical power consumption per appliance in a house to manage the energy consumption. NILM requires measurements in only one point and algorithms to make load disaggregation. One approach is classifying characteristics of the appliance through machine learning techniques such as Support Vector Machines (SVM) and Artificial Neural...
Metacognition has been used in artificial intelligence to increase the level of autonomy of intelligent systems. However the design of systems with metacognitive skills is a difficult task due to the number and complexity of processes involved. This paper describes a MOF-based visual metacognitive modeling tool named MetaThink. MetaThink has a core based on a metacognitive metamodel named MISM. MetaThink...
Solutions for caring for the elderly both efficacious and cost-effective are given by Ambient Assisted Living (AAL) systems that combine the research fields of intelligent systems and communication technologies. These systems are promising for the improvement of the quality of life of elderly and disabled people. One important characteristic of health and well-being is sleep. While sleep quantity...
Adaptations need to be considered at design-time (adapting complex systems to new technologies, reengineering due to new regulations etc.), but also during runtime (e.g. new emerging functional and non-functional requirement, context-specific decisions). Objective: I use SPLs as a strategy for coping with uncertainty and adapting to change, where conventionally change occurs in the requirements of...
The safety-critical aspects of cyber-physical systems motivate the need for rigorous analysis of these systems. In the literature this work is often done using idealized models of systems where the analysis can be carried out using high-level reasoning techniques such as Lyapunov functions and model checking. In this paper we present VERIDRONE, a foundational framework for reasoning about cyber-physical...
There has been awareness of the importance of metacognitive skill in learning processes, especially for university students, who are required to be more self-regulated. Therefore, monitoring the development of such skill is needed to ensure student's achievements. Currently, in classroom learning environments, student's metacognition can be observed conventionally by using interview or think-aloud...
In search and rescue missions robots are used to help rescue workers in exploring the disaster site. Our research focuses on how multiple robots and rescuers act as a team, and build up situation awareness. We propose a multi-agent system where each agent supports one member, either human or robot. For representing high-level information about the mission, we design an ontology that serves as a shared...
Most existing monitoring systems do not provide semantic information for their monitoring data. Thus, monitoring data in the repository can only be understood by the system that has generated the data. Round Robin Database (RRD) is an important effort toward building monitoring data semantics [1]. However, the RRD model has missing semantic information, such as what QoS metric or which system entity...
Intelligent service provisioning in the Internet of Things infrastructure can be achieved by discovering and composing most relevant virtual objects and autonomic modification of context information that require learning the system behavior through steady association between the virtual object and the real world object. To meet these challenges, Web-of-Objects enables the objects to be deployed, maintained...
In this article we have discussed the learning skills that are required to help students gain the full benefits of learning within Intelligent Tutoring Systems (ITS). On the one hand, students need to use metacognitive strategies to manage their learning, particularly when they have freedom to determine how they access and use a variety of on-line resources. On the other hand, ITS must includes relevant...
With the rapid advances in sensor data collection and communication, heterogeneous and real-time IOT data is increasing rapidly. To make full use of the information, lots of web technologies are introduced to integrate the IOT world and Web world into an unified Web of Things(WOT). While most of the existing efforts are mainly focused on the modeling, annotation, and representation of WOT data, there...
Multi-agent systems (MAS) for software construction is an approach that has been applied to different and complex domains that require distributed and intelligent environments. A crucial concern related to MAS is how software agents based on the Belief-Desire-Intention (BDI) model should be tested. An agent is an autonomous and pro-active entity that can exchange information with other agents distributed...
Monitoring the massive volume of data streaming from managed nodes in Telecommunication networks reacting in a timely manner is increasingly critical for modern Telecommunications Operations Support Systems (OSS). Given the large number and the varieties of the nodes in a telecoms network, the streaming monitoring data is naturally diverse and the volume is often at scales of multiple millions data...
Parkinson's disease (PD) involves well-known motor symptoms such as tremor, rigidity, bradykinesia, and altered gait, but there are also nonlocomotory motor symptoms (e.g., changes in handwriting and speech) and even nonmotor symptoms (e.g., disrupted sleep, depression) that can be measured, monitored, and possibly better managed through activity-based monitoring technologies. This will enhance quality...
The growing complexity and heterogeneity of modern IT systems demand for intelligent management tools, capable of horizontally integrating technologies of different vendors and domains and vertically relating them with business processes and high level requirements. Due to their often hard-coded and unextendable management models, existing tools are not able to meet those requirements well. Recent...
A resource of knowledge based ontology to tropical region very important owned by Indonesia as one of tropical countries. Climate change often provide for human and the environment impact. Weather monitoring is needed to minimize the impact, so that supervision, appropriate measures and rescue operations can be performed. Monitoring the weather done by placing sensors in weather monitoring stations...
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