This paper aims to develop a sensor based monitoring and analyzing system for Neuro-Degenerative Disorder patients (NDD); this may consist on SpO2 sensor, Electrophysiological sensors, NIBP, Motion Capture sensors and...
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This paper aims to develop a sensor based monitoring and analyzing system for Neuro-Degenerative Disorder patients (NDD); this may consist on SpO2 sensor, Electrophysiological sensors, NIBP, Motion Capture sensors and Eye Monitoring sensor, taking into consideration an acceptable cost for the whole system. Recorded data will be sent to an embedded decision making unit where detection, analysis, classification, prediction and action control will occur. The sensors and the decision making unit will be implemented in a comfortable jacket that doesn't affect the patients' movements and that can be used by several patients with reduced sensor placement alterations. The decision that can be made is creating a stimulus to avoid falling in case of sudden stop while moving, initiating an alarm, sending a notification to a mobile phone application, and/or telemedicine monitoring features. Artificial Neural Networks will be used to classify and predict the abnormal cases where action should be taken, and since the sensors will be continuously recording, it is possible to achieve continuous learning for the ANN as a first phase. Initial models will be defined by testing normal behaviors and some known abnormal behaviors or symptoms related to the electrical activity and other characteristics of the heart, oxygen saturation level, eye activity and body motion.
In the article the detection of “missing” or “hidden” data during the processing of the well-defined queries to database is discussed and on terms of quality the importance is justified, the article also covers or...
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In the article the detection of “missing” or “hidden” data during the processing of the well-defined queries to database is discussed and on terms of quality the importance is justified, the article also covers organization, processing, and program implementation issues of fuzzy queries to database of information systems.
Diagnostics is one of the significant parameters of functional safety which concerns itself with revealing dangerous incidents that might impede the operation of safety systems. Diagnostic coverage factor (DC) is defi...
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Smart Home is indeed a broad concept which includes the techniques and systems applied to living spaces. While its main goal is to reduce the consumption of energy, it provides many benefits including living in comfor...
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ISBN:
(纸本)9789897581038
Smart Home is indeed a broad concept which includes the techniques and systems applied to living spaces. While its main goal is to reduce the consumption of energy, it provides many benefits including living in comfort, security and increasing flexibility. Smart homes are achieved through networking, control and automation technologies. Since smart homes offer more comfort and security and provide novel innovative services, people with disabilities or the elderly can take the advantages and improve their life quality. However, for such novel services, an analytical infrastructure which can manage overall data flow provided by various sensors, understand anomalous behaviour, and make necessary decisions. In this study, for efficient data handling and visualisation, an integrated smart service approach based on the use of a smart vest is proposed. The smart vest plays a key role in the proposed system since it provides the main health parameters of the monitored person to the smart home service and enables tracking of the monitored person's location. The proposed system offers many benefits to both people with disabilities and the elderly and their families in terms of increased efficiency of health care service and comfort for the monitored person. It can also reduce the cost of health care services by reducing the number of periodical visits.
This model considers the strategy that supplier offers retailer a full trade-credit policy whereas retailer offers their customers a partial trade-credit policy. For such assumption, retailer can earn more profits. In...
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This paper presents a novel approach of using a Wireless Sensor Network (WSN) as the communication means for Multi-Robot, Cooperative, Simultaneous Localization and Mapping (CSLAM) applications investigating the assoc...
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Cognitive Radio Technology has brought new insights to the problems of spectrum scarcity and inefficiency, in which spectrum holes are opportunistically accessed when the licensed users (primary users) are not using t...
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Cognitive Radio Technology has brought new insights to the problems of spectrum scarcity and inefficiency, in which spectrum holes are opportunistically accessed when the licensed users (primary users) are not using the frequencies that are assigned to those users. In this paper, we propose a multi-path route discovery algorithm for cognitive radio ad hoc networks (CRAHN) using algebraic connectivity. The employed routing mechanism takes into account the impact of the primary users on the non-licensed users (secondary users) in a way that the secondary users choose the paths which are less affected by the non-licensed users. With regard to proposed route discovery algorithm, data traffic congestions are tried to be avoided in the secondary network by reducing the number of all possible paths from source to destination. The results show that the devised method overcomes the technique of the route request (RREQ) message flooding between a source and a destination.
Nowadays, the emerging wireless communication technologies cause rapid growth in radio spectrum usage. However, the radio spectrum is a limited resource and has almost been fully assigned by the current network operat...
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Nowadays, the emerging wireless communication technologies cause rapid growth in radio spectrum usage. However, the radio spectrum is a limited resource and has almost been fully assigned by the current network operators (NOs). Although numerous studies have been accomplished on the spectrum management, there are rare evolutionary techniques dealing with booking spectrum on cognitive radio. Instant Overbooking Framework for Cognitive Radio networks (IOFCR) is used to maximize both spectrum utilization and the revenue of NOs under several over-booking and pricing policies. In such a network, when a primary user (PU) activity is sensed, the control of which requesting secondary users (SUs) can be denied and which Active SUs can be ejected is managed by IOFCR. In this paper, the Particle Swarm Optimization (PSO) algorithm is applied into the IOFCR to find optimal values of the over-booking price and the Compensation Cost (CC) ratio to optimize revenue and achieve high performance.
For every organization having a well secured network is the primary requirement to reach their goals. A network is said to be secure if it can protect itself from sophisticated attacks. Due to the rapid increase in th...
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For every organization having a well secured network is the primary requirement to reach their goals. A network is said to be secure if it can protect itself from sophisticated attacks. Due to the rapid increase in the number of network users, security becomes the main challenge in the area of network field. Most security related threats target the layers of the OSI reference model. Sophisticated attack types such as Distributed Denial of Service (DDoS), Man-in-the-Middle and IP spoofing attacks are used to attack these layers. In this paper, we analyze most of the attack types that cause serious problems in computer networks and defense techniques to stop or prevent these attacks.
This paper deals with a comparison between inventory followed by shortages model and shortages followed by inventory model with variable demand rate. It is assumed that the stock deteriorates over time which follows a...
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