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检索条件"任意字段=3rd International Symposium on Information Processing in Sensor Networks"

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3rd international Conference on information and Communication Technology for Intelligent Systems, ICTIS 2018

3rd International Conference on Information and Communicatio...

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3rd international Conference on information and Communication Technology for Intelligent Systems, ICTIS 2018

ISBN: (纸本)9789811317415

The proceedings contain 147 papers. The special focus in this conference is on information and Communication Technology for Intelligent Systems. The topics include: Review of EEG signal classification;How to reverse engineer ICS protocols using pair-HMM;classification of plants using invariant features and a neural network;CSTeller: Client or server is a question;geographical zone-based cluster head for routing in urban vehicular network;Congestion management by Static Var Compensator (SVC) using power world simulator;combining user-based and item-based collaborative filtering using machine learning;Predictive monitoring system using K-NN, QDC classifiers of physiological data;Recommender system based on OSN data analytics;automation of process evaluation of saccharification of wheat starch followed by fermentation of glucose to prepare bioethanol using digital image processing;Early detection of ransomware by indicator analysis and WinAPI call sequence pattern;a novel integrated framework based on modular optimization for efficient analytics on twitter big data;study of controller techniques for precision positioning;an effective content-based strategy analysis for large-scale deduplication using a multi-level pattern-matching algorithm;tamil sign language translator—An assistive system for hearing- and speech-impaired people;aspect-based sentiment analysis of students’ feedback to improve teaching–learning process;fair mechanisms for combinatorial reverse auction-based cloud market;timbre-vibrato model for singer identification;a range-based adaptive and collaborative localization for wireless sensor networks;Image edge detection techniques using sobel, T1FLS, and IT2FLS;An optimal cryptographic approach for addressing security breaches to build resilient WSN;detection of mimicry attacks on speaker verification system for cartoon characters’ dataset;smart helmet for safety driving.

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Fault-tolerant sampled-data synchronization of Markovian jumping complex dynamical networks via looped-functional approach

Fault-tolerant sampled-data synchronization of Markovian jum...

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international symposium on Autonomous Systems (ISAS)

作者： Wang Xin Sun Jian Key Laboratory of Intelligent Control and Decision of Complex System Beijing Institute of Technology Beijing China

ISBN: (纸本)9781728112992

In this paper, the issue of sampled-data synchronization of Markovian jumping complex dynamical networks with sensor fault is investigated. Here, we utilize looped-functional approach to constructed Lyapunov functional with more information about r(t k ) and r(t k+1 ), which has contribution to decrease the conservatism of stability condition. Then, we design a sampled-data controller for Markovian jumping complex dynamical networks. Finally, the feasibility and superiority of our method are proved by several numerical and simulation examples.

关键词： complex networks control system synthesis fault tolerant control Lyapunov methods Markov processes network theory (graphs) sampled data systems stability synchronisation sampled data system fault-tolerant control control system synthesis Lyapunov methods Markov chain complex networks data synchronization Jumping Data sampling

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Analysis and Implementation of APIT Localization Algorithm for Wireless sensor Network 3

Analysis and Implementation of APIT Localization Algorithm f...

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3rd international Conference on Computer and Communication Systems (ICCCS)

作者： Jaya Payal, Ashish GGSIP Univ USICT New Delhi India

ISBN: (纸本)9781538663509

In the era of big data and IoT, sensor networks is being explored as a new method of information gathering, processing and dissemination where data is mapped with the location of sensor nodes. Localization is a method where a sensor node has the ability to self-locate the location. Most of the localization algorithms in wireless sensor networks(WSNs) need the location information of reference nodes to localize the unknown nodes. APIT is an anchor based range free localization algorithm which locate the location of unknown node by triangular area method. When the location of the unknown node is near the edge, this algorithm is imprecise. In this paper, an APIT localization algorithm is implemented and analyzed which reduces the localization error by eliminating the edge error effect. The Simulation has been done in MATLAB environment

关键词： APIT localization range free localization triangulation barycentric coordinate technique wireless sensor network

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SolarFinder: Automatic Detection of Solar Photovoltaic Arrays

SolarFinder: Automatic Detection of Solar Photovoltaic Array...

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international symposium on information processing in sensor networks (IPSN)

作者： Qi Li Yuzhou Feng Yuyang Leng Dong Chen Florida International University

ISBN: (数字)9781728154978

ISBN: (纸本)9781728154985

Smart cities, utilities, third-parties, and government agencies are having pressure on managing stochastic power generation from distributed rooftop solar photovoltaic (PV) arrays, such as predicting and reacting to the variations in electric grid. Recently, there is a rising interest to identify solar PV arrays automatically and passively. Traditional approaches such as online assessment and utilities interconnection filings are time consuming and costly, and limited in geospatial resolution, and thus do not scale up to every location. Significant recent work focuses on using aerial imagery to train machine learning or deep learning models to automatically detect solar PV arrays. Unfortunately, these approaches typically require Very High Resolution (VHR) images and human handcrafted solar PV array templates for training, which have a minimum cost of $15 per km 2 and are not always available at every *** address the problem, we design a new system-SolarFinder that can automatically detect distributed solar PV arrays in a given geospatial region without any extra cost. SolarFinder first automatically fetches regular resolution satellite images within the region using publicly-available imagery APIs. Then, SolarFinder leverages multi-dimensional K-means algorithm to automatically segment solar arrays on rooftop images. Eventually, SolarFinder employs hybrid linear regression approach that integrates support vector machine (SVM) modeling with a deep convolutional neural networks (CNNs) approach to accurately identify solar PV arrays and characterize each solar deployment. We evaluate SolarFinder using 269,632 satellite images that include 1,143,636 contours from 13 geospatial regions in U.S. We find that pre-trained SolarFinder yields a Matthews Correlation Coefficient (MCC) of 0.17, which is 3 times better than the most recent pre-trained CNNs approach and the same as a re-trained CNNs approach.

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Deep network source localization and the influence of sensor geometry 23

Deep network source localization and the influence of sensor...

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23rd international Congress on Acoustics: Integrating 4th EAA Euroregio, ICA 2019

作者： Anemüller, Jörn Schoof, Hendrik Computational Audition Group Medical Physics Section and Cluster of Excellence Hearing4all Carl von Ossietzky Universität Oldenburg Germany

ISBN: (纸本)9783939296157

Learning-based localization approaches cast the acoustic speaker localization problem as a machine learning task where a classifier is trained on example data of acoustic feature vectors in order to predict likelihood of speech presence as a spatio-temporal distribution. We investigate the impact that fundamental acoustic parameters of the auditory scene (e.g. SNR, acoustic scene complexity, sensor geometry) exert on the ability to faithfully extract spatio-temporal activity maps for concurrent speakers. Our results indicate that to some degree shortcomings in the acoustic conditions can be compensated by increased complexity in the applied classification techniques. To this end, we systematically investigate localization performance for a set of deep neural network localizers of varying complexity, and for six different sensor configurations in a bilateral hearing aid setup. Deep networks result in improved performance compared to linear localizers, and their performance benefits more from an increase in the number of sensor channels. In specific configurations, deep networks with a smaller number of microphones perform better than a linear baseline network with a larger number of microphones. Thus, location-specific information in source-interference scenarios appears to be encoded non-linearly in the soundfield, requiring non-linear approaches for optimal decoding. © 2019 Proceedings of the international Congress on Acoustics. All rights reserved.

关键词： Insulation Sound Transmission

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Effect of Estimation Timing Error on Pre-TDE for Narrowband Uplink NOMA

Effect of Estimation Timing Error on Pre-TDE for Narrowband ...

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international symposium on Wireless Personal Multimedia Communications (WPMC)

作者： Kei Yoshida Suguru Kameda Noriharu Suematsu Research Institute of Electrical Communication Tohoku University Miyagi Japan Resilient ICT Research Center National Institute of Information and Communication Technology Miyagi Japan

ISBN: (数字)9781728182964

ISBN: (纸本)9781728182971

For realizing narrowband IoT such as sensor networks, we investigate narrowband uplink non-orthogonal multiple access (NOMA), which has high spectrum efficiency. In the narrowband uplink NOMA system, multiple access interference (MAI) occurs because the signals from non-orthogonal nodes propagate different time selective fading channels. In this situation, time-domain pre-equalization (Pre-TDE) can suppress MAI. Since narrowband communication has a small data rate and long data communication time, the effect of estimation timing error Δt on pre-TDE is large. In this paper, to clarify the effect of fading on narrowband uplink NOMA we evaluated the effect of the estimation timing error. As a result of link-level simulation considering the estimation timing error, we verified that bit error rate (BER) is less than 10 -3 when the estimation timing error is within 1.5ms from the channel estimation value.

关键词： Fading channels NOMA Bit error rate Estimation Timing Uplink Narrowband

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Unpredictable disaster evacuation guide for weak people by real-time sensor network, SNS and maps

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The Joint international symposium on Artificial Intelligence and Natural Language processing, iSAI-NLP 2017

作者： Miyachi, Taizo Buribayeva, Gulbanu Iga, Saiko Furuhata, Takashi School of Information Science and Technology Tokai University Hiratsuka Japan Keio Research Institute of SFC Fujisawa Japan University of Utah Salt Lake City United States

ISBN: (纸本)9783319947020

Tokyo residents should prepare predicted future potential great earthquakes similar to 2011 East Japan earthquake. We built an autonomous warning system with real-time sensor networks, SNS (twitter), disaster server, web server, and Google map server for signs of unpredictable disasters. We propose a new evacuation guide system based on the warning system, well designed for weak residents and visitors. We investigated on the effectiveness of collaborations, among real-time sensor network, SNS (twitter), evacuation maps with disaster knowledge, and evacuation wide area maps for unpredictable scale of disasters. We also discuss how the guide system with evacuation maps should be utilized by helpers in a district community for the evacuation of both weak people and new residents. © Springer Nature Switzerland AG 2019.

关键词： Disasters

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23rd Annual RoboCup international symposium, RoboCup 2019

23rd Annual RoboCup International Symposium, RoboCup 2019

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23rd Annual RoboCup international symposium, RoboCup 2019

ISBN: (纸本)9783030356989

The proceedings contain 52 papers. The special focus in this conference is on RoboCup. The topics include: Collision Avoidance for Indoor Service Robots Through Multimodal Deep Reinforcement Learning;YoloSPoC: Recognition of Multiple Object Instances by Using Yolo-Based Proposals and Deep SPoC-Based Descriptors;a Model-Free Algorithm of Moving Ball Interception by Holonomic Robot Using Geometric Approach;toward Data Driven Development in RoboCup;"Lucy, Take the Noodle Box!": Domestic Object Manipulation Using Movement Primitives and Whole Body Motion;Estimation of Subjective Evaluation of HRI Performance Based on Objective Behaviors of Human and Robots;adaptive Walk-Kick on a Bipedal Robot;JET-Net: Real-Time Object Detection for Mobile Robots;Towards S-NAMO: Socially-Aware Navigation Among Movable Obstacles;high-Frequency Multi Bus Servo and sensor Communication Using the Dynamixel Protocol;tell Your Robot What to Do: Evaluation of Natural Language Models for Robot Command processing;people Management Framework Using a 2D Camera for Human-Robot Social Interactions;Gesture Recognition in RGB Videos Using Human Body Keypoints and Dynamic Time Warping;on the Use of Simulated Future information for Evaluating Game Situations;ROBO: Robust, Fully Neural Object Detection for Robot Soccer;a Real-Time Ball Detection Approach Using Convolutional Neural networks;neural Semantic Parsing with Anonymization for Command Understanding in General-Purpose Service Robots;Efficient and Robust 3D Object Reconstruction Based on Monocular SLAM and CNN Semantic Segmentation;On Field Gesture-Based Robot-to-Robot Communication with NAO Soccer Players;an Open Source Vision Pipeline Approach for RoboCup Humanoid Soccer;A Simulation Platform Design and Kinematics Analysis of MRL-HSL Humanoid Robot;ROS 2 for RoboCup.

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Environmental Monitoring Intelligent System Using Wireless Nanosensor networks 33rd

Environmental Monitoring Intelligent System Using Wireless N...

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33rd international Conference on Advanced information Networking and Applications, AINA 2019

作者： Ababneh, Nedal Ameri Sianaki, Omid Hussain, Shafquat College of Engineering and Science Victoria University Sydney Australia

ISBN: (纸本)9783030150341

Wireless nanosensor networks are envisioned to operate in the THz band, due to the small size of the network devices. The tiny dimensions of the nanosensor devices allow them to be embedded in various objects and devices in our environment to obtain fine-grained data, such as object’s components or its internal status, from hard-to-reach locations in a non-invasive way, and to perform additional in-network processing and thereby enabling a myriad of novel applications in industrial, biomedical, and agricultural settings that cannot be realized with conventional sensor networks. In this work, we propose a crop monitoring/defense application of nanosensors, for detection of any compound released by plants. Based on the detected volatile compounds, the state of the plant in its surrounding can be recognized and chemical nanosensors can release the same natural composites to reinforce the plants defense mechanism in case of insect attack. Our approach centers around the creation of a wireless nanosensor network (WNSN) wherein large number of chemical nanosensor devices, which is connected to a remote center via the Internet to provide remote monitoring/controlling capabilities. © 2019, Springer Nature Switzerland AG.

关键词： Intelligent systems

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Unmanned Surface Vehicle with Drown Map System

Unmanned Surface Vehicle with Drown Map System

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international symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)

作者： Saad Al-Dakheel Sibel Tariyan Ozyer Faruk Can Ozdemir Altug Karadag Mahmood Al-Tekreeti Computer Engineeering Çankaya University Ankara Turkey Rakun Company Ankara Turkey Electronic and Communication Engineering Ankara Turkey

The drowning cases that are happened whether in sea or ocean specially increasing cases among refugees requires to employ the advanced technology and tools to encounter this problem. Internet of Things (IoT) and cloud computing techniques will be applied in marine sector to address the problems of drowning. Internet of things that represented in sensors, actuators...etc. generate a vast number of data that globally known as a Big data, due to the limited storage and processing of the physical units with the big number of data, a cloud computing is adopted to solve this problem. In this paper, an Unmanned Surface Vehicle (USV) contains GPS and Force Sensitive Resistor (FSR) sensors will be built to discover the location and approximate number of people exposed to drowning. In addition to USV, a real-time map system will be carried out to display this information. All the data and information that generating from the sensors and map system will be stored in a cloud in real-time. This work is a part of the research and development project which is accepted in Turkey Government with the collaboration of the University and Industry.

关键词： Global Positioning System Cloud computing Servers Force Real-time systems sensor systems

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