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检索条件"任意字段=IEEE International Conference on Distributed Computing in Sensor Systems"

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15th international conference on Natural Computation, Fuzzy systems and Knowledge Discovery, ICNC-FSKD 2019, co-located with the 5th international conference on Harmony Search, Soft computing and Applications, ICHSA 2019

15th International Conference on Natural Computation, Fuzzy ...

引用

15th international conference on Natural Computation, Fuzzy systems and Knowledge Discovery, ICNC-FSKD 2019, co-located with the 5th international conference on Harmony Search, Soft computing and Applications, ICHSA 2019

ISBN: (纸本)9783030325909

The proceedings contain 227 papers. The special focus in this conference is on Natural Computation, Fuzzy systems and Knowledge Discovery. The topics include: New Passive Collision Force Suppression Mechanism for Human-Friendly Robot;User Behavior Tracking for Education Assisting System by Using an RGB-D sensor;distributed Network Data Security Protection for SG-eIoT;Resource Bottleneck Analysis of the Blockchain Based on Tron’s TPS;ontology-Based computing of Sentence Similarity;arm Model and Puncture Training System in Hemodialysis;Construction of the HMM Intelligent Recommendation Model and Its Application in the Film Ticketing System;research on Web Service Clustering Method Based on Word Embedding and Topic Model;an Adaptive Multi-sensor Data Consistency Algorithm Based on Node Credibility;analysis of Big Data of an Online Community Based on Artificial Intelligence;clustering Optimization and Evaluation of Campus Network User Behavior Analysis System;Analysis and Solution of RFID Tag Information Based on Security Technology;multicriteria Decision-Making Problems Under Uncertainty and Their Solution;the Strategy of Constructing an Interdisciplinary Knowledge Center;retinal Image Segmentation Based on Texture Features;a Method of Intention Discovery Based on Scientific Collaboration Information;contextual Analysis of Transactional Data;estimation of Soil Organic Matter Content Based on Regional Feature Bands;Detection and Analysis of Surface Characteristics of Debris Flow Gully Landslide Based on TLS Technology;A Feature-Based Hybrid Medical Image Watermarking Algorithm Based on SURF-DCT;practice of Document Information Knowledge Service Oriented to Metrology Research Innovation;minkowski Metric Based Soft Subspace Clustering with Different Minkowski Exponent and Feature Weight Exponent;comparative Studies of Robot Navigation.

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Multi-Reference Based Target Tracking for TDOA systems

Multi-Reference Based Target Tracking for TDOA Systems

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international conference on Big Data and Smart computing (BIGCOMP)

作者： Jaeuk Baek ChangEun Lee Sangjoon Park Intelligent Convergence Research Laboratory ETRI Daejeon Korea

ISBN: (数字)9781728189246

ISBN: (纸本)9781728189253

In military and civilian applications, target localization is one of the crucial techniques to improve spatial awareness and enable location services without human intervention. However, in a noisy and cluttered environment, it is challenging to achieve high estimation accuracy due to inherent measurement error and clutter-reflected measurement via non-line of sight (NLOS) link between radar sensors and target. In this paper, we propose a multi-reference based target localization (MRTL) process to estimate the location of targets using time difference of arrival (TDOA) measurement. Compared to single reference TDOA systems where target localization may fail in some cases due to sensor-target geometry and TDOA error, the proposed MRTL can be a reliable and robust solution by utilizing multiple reference sensors simultaneously. Simulation results are provided to demonstrate the performance of our proposed MRTL process.

关键词： Location awareness Geometry Simulation Radar tracking sensor systems Time measurement Intelligent sensors

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Wireless sensor network for traffic monitoring

Wireless sensor network for traffic monitoring

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2020 international conference on Promising Electronic Technologies, ICPET 2020

作者： Abdelhaq, Mohammd Fadi Salman, Adnan Advanced Computing AnNajah National University Nablus Palestine AnNajah National University Computer Science Department Nablus Palestine

ISBN: (纸本)9780738111391

Intelligent Traffic systems (ITS) management plays an important role in modern transportation systems. An important area in ITS research is the development of traffic monitoring systems that collect traffic information such as vehicle counting, speed measurements, and vehicle classification. This information allows for developing smart transportation systems that take into consideration the current traffic state in order to generate smart decisions. In this paper, we developed a Wireless sensor Network (WSN) application for vehicle counting, vehicle classification, and speed measurement based on roadside magnetic sensors. Magnetic sensors can be deployed on the roadside to collect traffic data. Then, the data can be communicated using wireless channels to a central computer to be processed and analyzed. The traffic data will be saved in a database and can be shared with other transportation applications through the use of web services. This approach has many advantages includes real-time traffic monitoring, ensures proper monitoring of the roads, and requires less human intervention. The focus of this paper is on the development of the wireless sensor network and traffic data management. Simulated data is used to evaluate the system instead of deploying magnetic sensors. The software implementation of this paper is available at https://***/FadiHaq/WSN_TrafficMonitoring. © 2020 ieee.

关键词： Wireless sensor networks

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On Wireless Communication in Underground Mine System 2nd

On Wireless Communication in Underground Mine System

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2nd international conference on Communication, Devices and computing (ICCDC)

作者： Chowdhury, Ankita Ray Pramanik, Ankita Roy, Gopal Chandra IEM Dept Elect & Elect Engn Kolkata 700091 India IIEST Dept Elect & Telecommun Engn Sibpur 711103 W Bengal India IIEST Dept Min Engn Sibpur 711103 W Bengal India

ISBN: (纸本)9789811508295;9789811508288

Wireless communication inside the mine is much challenging as compared to the communication above the surface. The signal gets highly attenuated due to numerous attenuation and path loss components which are generally absent above the surface. The traditional rooms and pillar or longwall techniques used for mining communication, introduce multipath. Again, choosing a suitable frequency becomes paramount as the ionic air present inside the mines affects signal propagation. So, a detailed study of all the existing works is essential for developing future wireless communication systems inside the mines. Numerous existing works focus on ieee 802.11b and ieee 802.15.4 technologies for communication inside the mines. However, no work giving the actual range obtained with these technologies inside the mine is present. The present work compiles, classifies, and compares the different existingwireless communication technologies used in an underground mine communication system. The work also undertakes a range study in an actual coal mine. The coverage range with ieee 802.11b and ieee 802.15.4 is similar to 83% and similar to 62% lesser, respectively, as compared to that on the surface.

关键词： Underground mine Operational frequencies Underground mine environment Radio communication Wireless sensor network WLAN WPAN

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Efficient Bio-Inspired Routing Algorithm for IoT

Efficient Bio-Inspired Routing Algorithm for IoT

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ieee international conference on Intelligent computing and Information systems (ICICIS)

作者： Aya Saad Islam Hegazy El Sayed M. El-Horbaty Faculty of Computer and Information Sciences Ain Shams University Cairo Egypt

ISBN: (纸本)9781665411592

Wireless sensor Networks (WSNs) is a fundamental portion of different applications. One of those applications is Internet of Things (IoT). IoT sensor-based applications have become one of the most used applications in various fields. Whereas the surrounding data is sensed by sensor nodes and transmitted to its destination. sensors are mostly attached with a limited source of power like batteries. Therefore, finding an efficient routing algorithm to save energy has become a must. In this paper, we present a new routing algorithm that is aimed to elongate the network lifetime and conserve the energy of sensor nodes. A hybrid intelligent algorithm is proposed. Genetic Algorithm (GA) and Ant Colony Optimization (ACO) algorithm are used in our proposed algorithm. Whereas GA is used to select the efficient cluster head. The fitness function of GA considers distance and energy parameters while selecting the cluster heads. Then, ACO is used for data transmission. Furthermore, the distance and energy parameters are considered in ACO while choosing the best path to transmit data from a cluster head to the base station. The performance of the proposed hybrid routing algorithm was compared with Enhanced LEACH algorithm and GA-PSO algorithm. The results of the comparison show that the network lifetime of our proposed hybrid routing algorithm lives 3.1% longer than GA-PSO and 21.2% longer than Enhanced LEACH. This means that our proposed algorithm saves the nodes’ energy and prolongs the network lifetime more than GA-PSO and Enhanced LEACH algorithms.

关键词： Wireless sensor networks Base stations Clustering algorithms Routing Batteries Internet of Things Data communication

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Smart sensor Node for distributed Noise Monitoring 29

Smart Sensor Node for Distributed Noise Monitoring

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29th international Scientific conference Electronics, ET 2020

作者： Nikolov, Dimitar Ganev, Borislav Marinov, Marin B. Nikolov, Nikolay Department of Electronics Faculty of Electronic Engineering and Technologies Bulgaria Technical University of Sofia Faculty of Electronic Engineering and Technologies Department of Electronics 8 Kliment Ohridski Blvd Sofia1756 Bulgaria

ISBN: (纸本)9781728174266

The exposure of millions of people to high noise levels in urban environments is a serious problem globally. The main source of noise is public transport, especially rail transport. The first step in determining the risk in this context is to conduct studies of the noise levels of major nodes of urban transport systems. This work presents the design and implementation of a smart sensor node for distributed noise pollution monitoring. The measurements with the sensor modules are mainly intended for estimating the noise load of the users of public transport and are made at a tram, subway and bus stops. The first measurement results show that the noise levels in the subway and bus stops may exceed the recommended exposure guidelines from the World Health Organization (WHO) and the European Environment Agency [1]. Based on the measurements, actions can be taken to reduce the noise exposure risk in subway and bus stations. © 2020 ieee.

关键词： Urban transportation

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LoRa Based Water Quality Monitoring System in Symbiosis University’s Lavale Campus

LoRa Based Water Quality Monitoring System in Symbiosis Univ...

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international conference on computing, Engineering, and Design (ICCED)

作者： Utkarsh Alset Atul Kulkarni Hrishikesh Mehta Symbiosis Centre For Nanoscience and Nanotechnology Symbiosis International (Deemed) University Lavale Pune India Research And Development Aethertec Innovative Solutions Bavdhan Pune India

ISBN: (纸本)9781665439978

Emergence of Internet of Things (IoT) has enabled convergence in various research areas like wearable electronics, wireless networks, sensors, control systems and embedded systems. Important application areas of healthcare and agriculture are largely benefited with IoT. Remote monitoring of water quality parameters is one such area where IoT can be largely deployed. A Long-range communication (LoRa) is a recent addition to IoT which covers large areas under its wireless network and has ultra-low power consumption. In this paper, a LoRa based monitoring system for measuring water quality parameters of a water reservoir in Symbiosis University’s Lavale Campus is implemented. A wireless floating LoRa transmitter is placed in the reservoir to hourly measure water quality parameters like water temperature, turbidity and pH. A study on effect of various configuration parameters of a LoRa device on time on air (ToA) and battery life is also presented.

关键词： Temperature measurement Symbiosis Wireless sensor networks Wireless networks Wearable computers Water quality Reservoirs

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Fuzzy C-Means based Clustering Algorithm in WSNs for IoT Applications 16

Fuzzy C-Means based Clustering Algorithm in WSNs for IoT App...

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16th ieee international Wireless Communications and Mobile computing conference, IWCMC 2020

作者： Bensaid, Rahil Ben Said, Maymouna Boujemaa, Hatem National Engineering School of Gabes ENIG University of Carthage Higher School of Communications of Tunis Supcom Cosim Research Lab. Tunisia

ISBN: (纸本)9781728131290

Energy efficiency in Wireless sensor Network (WSN)-based Internet of Things (IoT) systems is a very challenging issue since IoT is becoming more complex due to its large scale deployment. Cluster-based hierarchical routing protocols are used as a very effective tool to forward data among nodes in energy constrained networks. In this paper, we propose a new Fuzzy C-Means (FCM) based clustering algorithm for WSN-based IoT applications. The algorithm considers an FCM approach to form the clusters and the minimization of the overall consumed energy in each cluster to select the optimal Cluster Head (CH) in each transmission round. A comparison with Low Energy Adaptive Clustering Hierarchy (LEACH) protocol is presented to analyze the performance and to validate the proposed algorithm. Results show that the proposed FCM method improves the network lifetime by enhancing the residual energy by 50%. © 2020 ieee.

关键词： Wireless sensor networks

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Efficient Implementation of Kyber on Mobile Devices

Efficient Implementation of Kyber on Mobile Devices

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international conference on Parallel and distributed systems (ICPADS)

作者： Lirui Zhao Jipeng Zhang Junhao Huang Zhe Liu Gerhard Hancke Nanjing University of Aeronautics and Astronautics Jiangsu China Beijing Normal University-Hong Kong Baptist University United International College Guangdong China State Key Laboratory of Cryptology Beijing China City University of Hong Kong Hong Kong China

ISBN: (纸本)9781665408790

Kyber, an IND-CCA-secure key encapsulation mechanism (KEM) based on the MLWE problem, has been shortlisted for the third round evaluation of the NIST Post-Quantum Cryptography Standardization. In this paper, we explored the optimizations of Kyber in high-performance processors from the ARM Cortex-A series, which are widely used in mainstream mobile phones. To improve the performance of Kyber, we utilized the powerful SIMD instruction set NEON in an ARMv8-A to parallelize the core modules of Kyber, i.e., modular reduction and NTT. Specifically, we specially designed the optimized implementation based on the characteristic of the NEON instruction set for the Barrett and Montgomery reduction algorithms. To make full use of the computing power of NEON instructions, we proposed a novel strategy for computing the 16-bit Barrett reduction without handling the 32-bit intermediate result. Our Barrett and Montgomery reduction showed 8.52 and 8.89 times faster than the reference implementation. As for NTT/INTT, we adopted the 2+5 layer merging strategy on an ARMv8-A to implement NTT/INTT after carefully analyzing the register occupancy of various layer merging techniques. Thanks to the selected layer merging strategy, our NTT and INTT achieved 11.89 and 13.45 times speedups compared with the reference implementation. Our optimized software achieved 1.77×, 1.85×, and 2.16× speedups for key generation, encapsulation, and decapsulation compared with Kyber's reference implementation.

关键词： Encapsulation Neon Reduced instruction set computing Merging Standardization Mobile handsets Software

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Proceedings of ScalA 2020: 11th Workshop on Latest Advances in Scalable Algorithms for Large-Scale systems, Held in conjunction with SC 2020: The international conference for High Performance computing, Networking, Storage and Analysis

Proceedings of ScalA 2020: 11th Workshop on Latest Advances ...

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11th ieee/ACM Workshop on Latest Advances in Scalable Algorithms for Large-Scale systems, ScalA 2020

ISBN: (纸本)9781665422703

The proceedings contain 10 papers. The topics discussed include: replacing pivoting in distributed Gaussian elimination with randomized techniques;implementation and numerical techniques for one EFlop/s HPL-AI benchmark on Fugaku;performance analysis of a quantum Monte Carlo application on multiple hardware architectures using the HPX runtime;an integer arithmetic-based sparse linear solver using a GMRES method and iterative refinement;two-stage asynchronous iterative solvers for multi-GPU clusters;basic linear algebra operations on TensorCore GPU;a survey of singular value decomposition methods for distributed tall/skinny data;and a fast scalable iterative implicit solver with green’s function-based neural networks.

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