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To overcome the limitations of existing manufacturing execution systems the PABADIS’PROMSIE project aims at the development of a flexible agent-based architecture. The paper at hand introduces this new PABADIS’PROMISE architecture based on a GAIA role model description. It starts with a short reflection of requirements and functionalities in focus of the(More)
The advances in the wearable devices and Artificial Intelligence domains highlight the need for ICT systems that aim in the improvement of human's quality of life. In this paper we present the sleeping tracking component of an activity and sleeping tracking system. We present the sleep quality assessment based on EEG processing and support vector machines(More)
Telemetric monitoring of vital parameters of patients with chronic diseases is recognized to improve their medical condition and hence their quality of life. It also improves treatment adjustments, reaction time in acute cases and helps to reduce duration and costs of hospitalization. As a result of this, there are plenty of products and solutions for(More)
Enterprise integration is significant for the enforcement of novel business models in an enterprise/industry. The great heterogeneity of systems/applications in the enterprise environment requires the introduction of interoperability aspects in order to resolve integration problems in a flexible and dynamic way. Our approach introduces an advanced(More)
Today, Indian Government agenda is to create smart cities. While promoting Swachh Bharat Abhiyan, solid waste management is most challenging problem for municipals, which are facing a serious pollution problem due to the huge quantities of solid waste. If solid waste is not managed effectively it may lead to lots of issue related to environment and human(More)
Ontologies present a state-of-the-art technology for the provision of machine-readable semantics. Its utilization for the annotation of end-to-end enterprise/industrial processes characterizing advanced collaborative business models, largely contributes to enterprise interoperability, flexibility and component reusability. Our work in this paper emphasizes(More)
This paper compares two supervised learning algorithms for predicting the sleep stages based on the human brain activity. The first step of the presented work regards feature extraction from real human electroencephalography (EEG) data together with its corresponding sleep stages that are utilized for training a support vector machine (SVM), and a fuzzy(More)
The European agenda for 2020 sets out the challenge of improving the quality of life of European citizens and thereby increasing life-expectancy by two years. The objective of the study and proposed system presented in this paper is to promote physical activity among older people in a way that ensures the elderly person's welfare and health by designing(More)
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