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IEEE World Haptics conference (WHC)

作者： Tercero, Carlos R. Najdovski, Zoran Ikeda, Seiichi Nahavandi, Saeid Fukuda, Toshio Nagoya Univ Dept Micronano Syst Engn Nagoya Aichi 4648601 Japan Deakin Univ Ctr Intelligent Syst Geelong Vic 3217 Australia

ISBN: (纸本)9781479900886;9781479900879

The introduction of robotics technology within endovascular surgical procedures has realised accurate catheter navigation and reduced surgeon irradiation. Insufficient force information from the catheter remains a limitation for significant improvement in the performance of these procedures. While recent developments of catheter tip-force measurement sensors have witnessed a notable outcome, packaging complexities and sensor size constraints limit their application. This work presents an approach to catheter tip-force measurement during endovascular surgery simulation. Image processing and photoelasticity are utilized to measure arterial stress and morphological deformation in a carotid artery segment model. Deformation is measured in real-time and conveyed to the user as haptic feedback during tele-operation of a robotic catheter insertion system. A preliminary single user study was completed to realise the potential of force feedback as it is correlated to the level of deformation and stress in the artery model. The results of this haptic feedback are compared with experimental results of the same operator manually inserting the catheter, and also using a computer graphical-user-interface to control the catheter insertion system.

关键词： haptics tele-surgery photoelastic stress analysis

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DECENTRALIZED LOCALIZATION USING FINGERPRINTING AND KERNEL METHODS IN WIRELESS sensor networks

DECENTRALIZED LOCALIZATION USING FINGERPRINTING AND KERNEL M...

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European Signal processing conference

作者： Sandy Mahfouz FarahMourad-Chehade Paul Honeine Joumana Farah Hichem Snoussi Institut Charles Delaunay (CNRS) Université de Technologie de Troyes Troyes France Department of telecommunications Faculty of engineering Université Saint-Esprit de Kaslik Lebanon

ISBN: (纸本)9781479936878

sensors localization has become an essential issue in wireless sensor networks. This paper presents a decentralized localization algorithm that makes use of radio-location fingerprinting and kernel methods. The proposed algorithm consists of dividing the network into several zones, each of which having a calculator capable of emitting, receiving and processing data. By using radio-information of its zone, each calculator constructs, by means of kernel methods, a model estimating the nodes positions. Calculators estimates are then combined together, leading to final position estimates. Compared to centralized methods, this technique is more robust, less energy consuming, with a lower processing complexity.

关键词： decentralized processing fingerprinting localization machine learning wireless sensor networks Wireless sensor networks Fingerprinting kernel method Distributed processing Decentralized Seeds Calculators sensors Artificial Intelligence Machine Learning Radio

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An analysis on the effects of cluster leadership rotation among nodes using least temperature routing protocol

An analysis on the effects of cluster leadership rotation am...

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2013 International conference on Future information and Communication Engineering, ICFICE 2013

作者： Encarnacion, Nico Yang, Hyunho Department of Information and Telecommunication Engineering Kunsan National University 558 Daehak-ro Gunsan-si Jeollabuk-do 573-701 Korea Republic of

ISBN: (纸本)9789400765153

The area of body sensor networks has recently attracted many researchers due to its potential to revolutionize medicine. These sensors are usually implanted inside the human body and communicate among themselves. In the process of receiving, processing or transmitting data, these devices produce heat. The temperature produced by these sensor nodes might damage tissues surrounding the devices if exposed for a prolonged period of time. This paper seeks to improve and evaluate two protocols - Least Temperature Routing and Adaptive Least Temperature Routing protocol - by implementing clustering as well as a leadership rotation algorithm that was also previously proposed. The researchers used Castalia to simulate a basic BAN cluster composed of 6 nodes. To simulate all nodes sending data to one sink node, a throughput application was used. Simulations with leadership rotation showed significantly lower energy consumption compared to a set up with no leadership rotation. © 2013 Springer Science+Business Media Dordrecht.

关键词： Routing protocols

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Feed forward back propagation neural networks to classify freeway traffic flow state

Feed forward back propagation neural networks to classify fr...

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9th conference on Traffic and Granular Flow, TGF 2011

作者： Deniz, Onur Celikoglu, Hilmi Berk Civil Engineering Department Istanbul Technical University Ayazaga Campus 34469 Istanbul Turkey

ISBN: (纸本)9783642396687

Analyses on traffic flow require accurate time-varying local traffic density information in order to effectively determine inflows to and outflows from freeway segments in several aspects of network traffic control. It is essential to specify the flow state, equivalently to derive density variable with the corresponding flow-rate measure, from primary traffic variables in order to provide accurate input to real-time traffic management strategies. In this paper, a study on the flow state specification process that employs feed forward back propagation neural network method to map sectional lane based density measure with raw traffic data collected from successive remote microwave sensor units mounted along a segment existing on the freeway network of Istanbul, is summarized. Classification of traffic flow states and matching the corresponding real-time flow state is obtained dynamically inputting raw flow measures simultaneously to neural density mapping and traffic flow modeling processes. The approach is promising in capturing instantaneous changes on flow states and may be utilized within intelligent management strategies such as incident control. © Springer-Verlag Berlin Heidelberg 2013.

关键词： Microwave sensors

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Expedite Privacy-Preserving Emergency Communication Scheme for VANETs

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INTERNATIONAL JOURNAL OF DISTRIBUTED sensor networks 2013年第5期9卷 1-13页

作者： Chen, Long Jia, Xuedan Meng, Lixia Wang, Liangmin Jiangsu Univ Automot Engn Res Inst Zhenjiang 212013 Peoples R China Jiangsu Univ Sch Comp Sci & Telecommun Engn Zhenjiang 212013 Peoples R China Anhui Univ Minist Educ Key Lab Intelligent Comp & Signal Proc Hefei 230039 Peoples R China

The existing communication schemes are often unusable in natural disasters and public emergencies. But requirements of information collection and data transmission in emergency scenario are very imperative. Thus, sensor networks ad hoc networks are required in the emergency communication systems. For example, rescue vehicles equipped with wireless communication devices, sensors, and cameras are regularly used to collect and transmit the real-time information for the rescue action. The paper focuses on security solutions for the vehicular ad hoc networks (VANETs) in the emergency communication cases, in which the communication infrastructures are not always available. An expedite privacy-preserving emergency communication (EPEC) scheme is presented for the vehicles to securely connect with the others in the neighbor area even when the trusted infrastructures are destroyed by the disaster. EPEC satisfies conditional privacy preservation requirements, in which both lightweight signature and batch verification are employed to provide efficiency. We also show the proof of the security, feasibility, and efficiency of our EPEC by the theoretical and experimental analyses.

关键词： NATURAL disasters VEHICULAR ad hoc networks (Computer networks) EMERGENCY communication systems WIRELESS communication systems COMPUTER network security CRISIS management EMERGENCY management

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Odor classification by neural networks

Odor classification by neural networks

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IEEE International Workshop on intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications

作者： Sigeru Omatu Department of Electronics and Information and Communication Engineering Osaka Institute of Technology Osaka Japan

It is important to detect an odor in the human living space and artificial electronic noses have been developed. This paper considers an array sensing system of odors and adopts a layered neural network for classification. We use all measurement data obtained from fourteen metal oxide semiconductor gas (MOG) sensors. Some sensors are not sensitive while others are sensitive. In order to classify odors, we use data from all fourteen sensors even if some of them are not sensitive so much. We will propose three methods to use the data by insensitive sensors to find the features of odors. Then, applying those features to a layered neural network, we will compare the classification results.

关键词： Olfactory Electronic noses sensor phenomena and characterization Neural networks sensor arrays

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Prototypes of opportunistic wireless sensor network for temperature monitoring and control

Prototypes of opportunistic wireless sensor network for temp...

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International conference on Signal processing and Communication (ICSC)

作者： Raaziyah Shamim M. Salim Beg Navaid Z. Rizvi Department of Electronics Engineering NOIDA Department of Electronics Engineering Z. H College of Engineering & Technology A. M. U. Aligarh School of ICT Gautam Buddha University Greater Noida

ISBN: (纸本)9781479916061

Environment monitoring and control is the next evolutionary development step in building, utilities, industrial, home, shipboard and transportation systems automation. Wireless sensor network technologies are becoming increasingly essential in the arena of smart homes to provide the residents with various intelligent services. However, due to their limited energy and hardware capabilities (storage, communication and processing), WSNs are not so popular. In this paper, an IEEE 802.15.4 based intelligent network prototype has been designed, implemented and tested for automatic temperature monitoring and control in smart homes. The system is designed considering the limited power, storage, processing power and bandwidth of sensor nodes.

关键词： Temperature sensors Monitoring Temperature measurement Wireless sensor networks Temperature control Base stations Batteries

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Introducing smart drivers A Way to conceive smart data sensing in wireless sensor networks

Introducing smart drivers A Way to conceive smart data sensi...

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International conference on information Communication and Embedded Systems (ICICES)

作者： Carlo Brandolese William Fornaciari Luigi Rucco Federico Terraneo Department of Electronics and Information Politecnico di Milano Milano Italy

This paper presents a power-management infrastructure, referred to as Smart Drivers, devised for efficiently managing the data sensing phase in a wireless sensor network (WSN). The key idea is that the data sensing phase can be logically decoupled from data processing, which can be in turn decoupled from data transmission, the last being already done in classical approaches of data aggregation. By decoupling data sensing from data processing, applications can delegate the Smart Driver infrastructure to collect a certain number of samples from the sensors in a power-efficient mode and to wake up the system in full-active mode once a given number of measures have been collected, so that the process that required the bunch of measures can analyze them and eventually transmit the result of the analysis. Results show that, since data sensing periods in WSN applications are typically much longer than processing period, the smart driver paradigm strongly reduce the overall energy consumption of the system.

关键词： sensors Data processing Wireless sensor networks Energy efficiency Operating systems Hardware Random access memory

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Cut Graph Based information Storage and Retrieval in 3D sensor networks with General Topology

Cut Graph Based Information Storage and Retrieval in 3D Sens...

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32nd IEEE INFOCOM conference

作者： Yang, Yang Jin, Miao Zhao, Yao Wu, Hongyi Univ Louisiana Lafayette Ctr Adv Comp Studies Lafayette LA 70504 USA

ISBN: (纸本)9781467359467

We address the problem of in-network information processing, storage, and retrieval in three-dimensional (3D) sensor networks in this research. We propose a geographic location free double-ruling-based scheme for large-scale 3D sensor networks. The proposed approach does not require a 3D sensor network with a regular cube shape or uniform node distribution. Without the knowledge of the geographic location and the distance bound, a data query simply travels along a simple curve with the guaranteed success to retrieve aggregated data through time and space with one or different types across the network. Simulations and comparisons show the proposed approach with low cost and a balanced traffic load.

关键词： distributed sensors graph theory information storage query processing

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Neural networks And Genetic Algorithm Based intelligent Robot For Face Recognition And Obstacle Avoidance

Neural Networks And Genetic Algorithm Based Intelligent Robo...

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International conference on Current Trends in Engineering and Technology (ICCTET)

作者： Arun, S. Harish, G. Salomon, K. Saravanan, R. Kalpana, K. Jaya, J. Hindusthan Inst Technoil Dept ECE Coimbatore Tamil Nadu India Akshaya Coll Engg & Tech Coimbatore Tamil Nadu India

ISBN: (纸本)9781479925834

The Internet-based security Soft-i-Robot is modeled using Soft computing paradigms for problem solving and decision-making in complex and ill-structured situations. Soft-i-Robot monitors the workspace with multimedia devices and sensor using an Internet application program. The model has sensory subsystems such as Intruder detection which, detects intruder, captures image and sends to server, and an Obstacle Avoidance Unit to detect the objects in the path of the mobile robot. These multiple features with hybrid Soft computing techniques depart the developed Soft-i-Robot from the existing developments, proving that the streaming technology-based approach greatly improves the sensibility of robot tele-operation. The relatively powerful online robots available today provoke the simple question, in terms of two competing goals: recognition accuracy and computing time. Improved recognition accuracy and reduced computing time for face recognition of the intruder is obtained using Morphological Shared Weight Neural Network. To obtain a collision-free optimized path, Soft-i-Robot uses derivative free Genetic Algorithm. With rapid expansion of Robotics and Soft computing paradigms, robotic technology touches upon self-understanding of humans, socio-economic, legal and ethical issues leading to improved performance rate and information processing capabilities.

关键词： Neural Network Genetic Algorithm Soft-i-Robot

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