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An IoT-based Appliance Control System for Smart Homes

An IoT-based Appliance Control System for Smart Homes

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4th International conference on intelligent Control and information processing (ICICIP)

作者： Wang, Ming Zhang, Guiqing Zhang, Chenghui Zhang, Jianbin Li, Chengdong Shandong Univ Sch Control Sci & Engn Jinan 250061 Shandong Peoples R China Shandong Jianzhu Univ Sch Informat & Elect Engn Jinan 250101 Shandong Peoples R China ShenZhen Soben Skysafe Hitech Dev Co Ltd Shenzhen 518033 Peoples R China

ISBN: (纸本)9781467362498;9781467362481

With the development of the social economy, more and more appliances have been presented in a house. It comes out a problem that how to manage and control these increasing various appliances efficiently and conveniently so as to achieve more comfortable, security and healthy space at home. In this paper, a smart control system base on the technologies of internet of things has been proposed to solve the above problem. The smart home control system uses a smart central controller to set up a radio frequency 433 MHz wireless sensor and actuator network (WSAN). A series of control modules, such as switch modules, radio frequency control modules, have been developed in the WSAN to control directly all kinds of home appliances. Application servers, client computers, tablets or smart phones can communicate with the smart central controller through a wireless router via a Wi-Fi interface. Since it has WSAN as the lower control layer, a appliance can be added into or withdrawn from the control system very easily. The smart control system embraces the functions of appliance monitor, control and management, home security, energy statistics and analysis.

关键词： Internet control engineering computing domestic appliances home automation wireless LAN wireless sensor networks

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A hybrid history based weighted voting algorithm for smart mobile e-health monitoring systems

A hybrid history based weighted voting algorithm for smart m...

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intelligent sensors, sensor networks and information processing conference (ISSNIP)

作者： Ahmed Alahmadi Ben Soh Saleh Alghamdi Department of Computer Science and Computer Engineering La Trobe University Melbourne Australia School of Computer Science and IT RMIT University Melbourne Australia

In the development of general system design approaches the main concern is whether the approach meets the proposed system's specifications and the ability of the system to operate for a specified period of time within those specifications. However, with the expansion in the field of sensitive and complex systems, e.g. e-health monitoring systems, a great emphasis is put on the behaviour of the system with the presence of fault (i.e. fault-tolerance). There are numerous fault-tolerant mechanisms to enhance the reliability of a real-time critical system fault masking is one of the significant techniques amid those. It is one of the key approaches to improve or maintain the normal behaviour of a system in the appearance of fault. Voting as fault masking method aims to form a single output from a set of n input data, as prescribed by the requirements of a voting algorithm. In data fusion, voting is a probable method of combining different data delivered by several sources. These sources can be sensors, as in our e-health system, whose outputs may be mistaken. This paper aims to introduce a new hybrid history based voting algorithm for our proposed smart mobile e-health monitoring system. Our proposed algorithm gives better and stable performance, in the error range expected by our system.

关键词： Reliability Monitoring History Algorithm design and analysis Classification algorithms intelligent sensors

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sensor data meets social networks reflecting on benefits in the case of a patient room

Sensor data meets social networks reflecting on benefits in ...

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IFIP WG 8.4, 8.9, TC 5 International Cross-Domain conference on Availability, Reliability, and Security in information Systems and HCI, CD-ARES 2013

作者： Kuhn, Fabienne Spichiger, Andreas Riedl, Reinhard Bern University of Applied Sciences Bern Switzerland

ISBN: (纸本)9783642405105

In a hospital, information exchange is essential to save lives and to prevent life-endangering mistakes. information exchange is supported by a hospital information system (HIS). From a theoretical perspective, the deployment of an HIS is promising because it reduces errors and duplication of information. In practice, however, there are some major problems concerning the usage of such a system. One way to deal with these problems is introduced in this paper: the integration of sensor data into social media. The paper concentrates on the conceptual benefits and risks such an integration may generate. It focuses on the case of a patient room. © 2013 IFIP International Federation for information processing.

关键词： sensors

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Quality-of-Service-Aware Fiber Wireless sensor Network Gateway Design for the Smart Grid

Quality-of-Service-Aware Fiber Wireless Sensor Network Gatew...

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IEEE International conference on Communications (ICC)

作者： Zaker, Nima Kantarci, Burak Erol-Kantarci, Melike Mouftah, Hussein T. Univ Ottawa Sch Elect Engn & Comp Sci Ottawa ON K1N 6N5 Canada

ISBN: (纸本)9781467357531

Smart grid aims to enhance the efficiency, security and the reliability of electricity generation, delivery and consumption. Smart grid benefits from a variety of information and Communication Technologies (ICTs) for the betterment of the power grid. Two-way communications between the customers and the utility, advanced monitoring tools and intelligent control mechanisms are the key components to realize the new services of the smart grid. Particularly, energy monitoring tools at the customer premises as well as event and ambient monitoring tools at the substations, power lines and vaults play a significant role in managing and protecting the smart grid. Wireless sensor network (WSN) technology is a promising monitoring tool for residential premises and the smart grid assets. However, the large volume of data collected by billions of sensors requires a robust communication infrastructure to deliver data from the field to the operators in a timely manner. In this paper, we adopt the Fiber-WSN architecture to support both WSN data and Fiber To The Home/Building/Curb (FTTX) traffic. We design a Fi-WSN gateway that allows data prioritization, maintains the Quality of Service (QoS) of FTTX users and delivers WSN data in a reliable manner. Data prioritization is fundamental for design considerations since ambient data have lower priority than an alarm generated at a smart grid asset. Our gateway employs a burst assembly mechanism that allows differentiation between high and low priority packets in the Fiber-WSN architecture. We show that the proposed gateway design attains low delay for high priority packets while maintaining the delay of FTTX traffic and the reliability of the WSN at desired levels.

关键词： EPON fiber-wireless networks gateway design smart grid wireless sensor networks

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Considerations for Multiple Hypothesis Correlation on Tactical Platforms

Considerations for Multiple Hypothesis Correlation on Tactic...

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conference on Multisensor, Multisource information Fusion - Architectures, Algorithms, and Applications

作者： Thomas, Alan M. Turpen, James E. Georgia Inst Technol Georgia Tech Res Inst Atlanta GA 30318 USA

ISBN: (纸本)9780819495471

Tactical platforms benefit greatly from the fusion of tracks from multiple sources in terms of increased situation awareness. As a necessary precursor to this track fusion, track-to-track association, or correlation, must first be performed. The related measurement-to-track fusion problem has been well studied with multiple hypothesis tracking and multiple frame assignment methods showing the most success. The track-to-track problem differs from this one in that measurements themselves are not available but rather track state update reports from the measuring sensors. Multiple hypothesis, multiple frame correlation systems have previously been considered;however, their practical implementation under the constraints imposed by tactical platforms is daunting. The situation is further exacerbated by the inconvenient nature of reports from legacy sensor systems on bandwidth-limited communications networks. In this paper, consideration is given to the special difficulties encountered when attempting the correlation of tracks from legacy sensors on tactical aircraft. Those difficulties include the following: covariance information from reporting sensors is frequently absent or incomplete;system latencies can create temporal uncertainty in data;and computational processing is severely limited by hardware and architecture. Moreover, consideration is given to practical solutions for dealing with these problems in a multiple hypothesis correlator.

关键词： Data Association Multiple Hypothesis Correlation Multiple Hypothesis Tracking Avionics information Fusion sensors

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A graph-based multi-hop cooperative MIMO scheme for heterogeneous WSN

A graph-based multi-hop cooperative MIMO scheme for heteroge...

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6th China conference of Wireless sensor networks, CWSN 2012

作者： Li, Zhetao Xie, Da Pei, Tingrui Choi, Youngjune Li, Renfa College of Information Engineering Xiangtan University Xiangtan 411105 China School of Computer National University of Defense Technology Changsha 410073 China Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education Xiangtan University Xiangtan 411105 China Department of Information and Computer Engineering Ajou University Suwon 443749 Korea Republic of School of Computers and Communications Hunan University Changsha 410082 China

ISBN: (纸本)9783642362514

A Graph-based multi-hop cooperative MIMO transmission scheme (GM-MIMO) aimed at optimizing the network lifetime and saving energy for heterogeneous wireless sensor networks (WSN) is proposed. In GM-MIMO, clusters are established based on geographical position. Graph theory is applied to find an optimal forwarding path. For taking the presence of node heterogeneity into consideration, GM-MIMO obtains maximum network lifetime. Simulation results show that GM-MIMO makes a significant performance improvement in terms of network lifetime and survival rate of nodes. © 2013 Springer-Verlag.

关键词： Graph theory

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Application of Dynamic Neural networks with Exogenous Input to Industrial Conditional Monitoring

Application of Dynamic Neural Networks with Exogenous Input ...

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International Joint conference on Neural networks (IJCNN)

作者： Yusuf, Syed A. Brown, David J. Mackinnon, Alan Papanicolaou, Richard STS Def Ltd Gosport PO12 1AF Hants England Univ Portsmouth Inst Ind Res Portsmouth PO1 2EG Hants England

ISBN: (纸本)9781467361293;9781467361286

intelligent assessment of information gathered from industrial-grade data loggers for preemptive maintenance is one of the foremost areas of research in conditional monitoring. Due to the general operating environment, there exists a non-linear relationship between the input and output data gathered from these sensors. Moreover, the transmission of data from such dynamic environments is generally marred by a large SNR with substantial level of " false-noise" belonging to the normal movement pattern of the mechanical parts. Within this context, the goal of this paper is to explore, evaluate and develop an optimal, dynamic neural network to improve the fault prediction accuracy of condition monitoring systems. The training data for this research was obtained from a vibration and a thermal sensor connected mounted over a polyphase induction motor. The objective was to identify any anomalies in the motor's fan-based cooling system. Moreover, the model presented a comparative analysis of a dynamic neural network (DNN) model against a non-linear autoregressive neural system (NARX) with exogenous input. The validation outcome presented a close regressive relationship of 0.9734 between observed and targeted outcomes over a 7-second delay with a NARX model giving a 4.56% and 5.23% classification accuracy. The best model system was evaluated against unseen anomaly data and demonstrated high prediction accuracy.

关键词： autoregressive processes condition monitoring data loggers neural nets nonlinear systems preventive maintenance

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A novel detection approach using bio-inspired vision for enhanced object tracking in video

A novel detection approach using bio-inspired vision for enh...

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intelligent sensors, sensor networks and information processing conference (ISSNIP)

作者： James A. Dowley Kutluyil Dogançay Russell S.A. Brinkworth Division of Electrical and Information Engineering University of South Australia Adelaide Australia

Video surveillance systems play an important role in many civilian and military applications, for the purposes of security and surveillance. Object detection is an important component in a video surveillance system, used to identify possible objects of interest and to generate data for tracking and analysis purposes. A video surveillance system is presented here which incorporates a novel motion detection approach using a biologically inspired vision system, within a hardware solution, for enhanced object tracking performance. This method is compared with a traditional object detection approach. This initial investigation determined that the biological vision system is robust in detecting objects representative of actual ground truth values under various complex lighting conditions. The system has shown enhanced capability by reducing false track confirmation rates (at least one order of magnitude) and achieving high confirmation rates of objects of interest within independent video data sets. An effective tracking solution has been achieved through the implementation of the biologically-inspired vision system as an enhancement to object detection.

关键词： Biological system modeling Object detection Tracking Motion detection Video surveillance Machine vision

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An Energy Efficiency Trusted Dynamic Routing Protocol for Wireless sensor networks

An Energy Efficiency Trusted Dynamic Routing Protocol for Wi...

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International conference on Emerging intelligent Data and Web Technologies (EIDWT)

作者： Zhou Quan Daixian Wu Deqin Xiao Yang Zhang Chunming Tang Key Laboratory of Mathematics and Interdisciplinary Guangzhou University Guangzhou China College of Computer and Information Science & College of Software Southwest University Chongqing China College of Informatics South China Agricultural University Guangzhou China School of Mathematics and Information Science Guangzhou University Guangzhou China

ISBN: (纸本)9781479921423

Wireless sensor networks (WSNs) consists of a large number of low-power, limited-processing and limited-storage sensors, which is applied for all kinds of areas. In the paper, we introduce an energy efficiency trusted dynamic routing protocol for wireless sensor network (EETDRP), which is designed based on Destination Sequenced Distance Vector Protocol and trusted management. And the wireless sensor network topology, architecture framework, design and simulation of the EETDRP are discussed in detail. The simulation test shows that the EETDRP is reliable and effective in case of some failure sensor nodes in wireless sensor network.

关键词： sensors Wireless sensor networks Routing protocols Network topology Topology Educational institutions

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Classification of physiological sensor signals using artificial neural networks

Classification of physiological sensor signals using artific...

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20th International conference on Neural information processing, ICONIP 2013

作者： Sharma, Nandita Gedeon, Tom Research School of Computer Science Australian National University Canberra Australia

ISBN: (纸本)9783642420412

Physiological signals have certain prominent characteristics that distinguish them from other types of physiological signals which are familiar to experts and assessed by inspection. The aim of this paper is to develop a computational model that can distinguish electrocardiogram, galvanic skin response and blood pressure signals acquired from sensors as well as detect corrupted signals which can arise due to hardware problems including sensor malfunction. Our work also investigates the impact of the signal modeling for various time lengths and determines an optimal signal time length for classification. This provides a method for automatic detection of corrupted signals during signal data collection which can be incorporated as a support tool during real-time sensor data acquisition. © Springer-Verlag 2013.

关键词： Neural networks

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