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Electroencephalograph (EEG) based BCI (Brain-Computer Interfacing) paradigm has become a research topic in computer science and, in particular, human-computer interaction. In this paradigm, BCI applications have been largely focused on improving the quality of life for both able-bodied users as well as users with special needs. Despite the fact that low-cost off-the-shelf EEG headsets are becoming...
This paper describes a prototype design and implementation of a real-time (on-line) knowledge generation component which can be utilised in industrial Supervisory Control and Data Acquisition (SCADA) systems. The overall architecture of our SCADA scenario, which utilise proposed knowledge generation is based on a multi-agent approach. This design is different from what we can see in conventional commercial...
In this paper, we propose a new on-line monitoring system in intensive care unit (ICU). Two incremental versions of support vector machines (SVM) have been adapted to the current monitoring system. In fact, the monitoring system in ICU have many issues to detect real states of patients namely critical or normal states. It frequently generates false alarms that have bad effects on the working conditions...
Ahuman-decision basedclassification wood recognition system is designed to classify 52 tropical wood species. The system is designed based on visual inspection of the wood anatomy textures, which can actually be presented as image data processing using statistical parameters representing the texture and the grey values. There are thousands of wood images being processed in the wood database. In order...
Support vector machine (SVM) is a popular method for classification in data mining. The canonical duality theory provides a unified analytic solution to a wide range of discrete and continuous problems in global optimization. This paper presents a canonical duality approach for solving support vector machine problem. It is shown that by the canonical duality, these nonconvex and integer optimization...
Universities are major centers of production and dissemination of knowledge. Because of proximity of knowledge to decisions more data can improve the performance and quality of service organizations. On the other hand, Knowledge management is a systematic issue Categories that successful implementation requires a pathology and holistic approach to organizational various factors. In this paper, we...
This paper reports on the development of a model to improve the understanding of the extent of Enterprise Resource Planning (ERP) system usage in universities. Previous research revealed that university ERP systems are not fully utilized by end-users, resulting in low usage and institutional inefficiencies. This leads to stakeholders particularly students and government pressurizing universities to...
The interest in distance learning (DL) in agronomic sciences, where students are in a place far from the teacher and communicate with each other via computer and other means of communication is growing fast. Thus distance learning becomes the most flexible and adaptable one to the budget of working people, (mother - raising their children, people living in remote locations, seasonal and timely work...
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