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P¹-conservative solution interpolation on unstructured triangular meshes

INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING 2010年第13期84卷 1552-1588页

作者： Alauzet, F. Mehrenberger, M. INRIA Projet Gamma F-78153 Le Chesnay France Univ Strasbourg IRMA UMR CNRS 7501 F-67084 Strasbourg France

This paper presents an interpolation operator on unstructured triangular meshes that verifies the properties of mass conservation, P-1-exactness (order 2), and maximum principle. This operator is important for the resolution of the conservation laws in computational fluid dynamics by means of mesh adaptation methods as the conservation properties are not verified throughout the computation. Indeed, the mass preservation can be crucial for the simulation accuracy. The conservation properties are achieved by local mesh intersection and quadrature formulae. Derivatives reconstruction are used to obtain an order 2 method. algorithmically, our goal is to design a method that is robust and efficient. The robustness is mandatory to apply the operator to highly anisotropic meshes. The efficiency will permit the extension of the method to dimension 3. Several numerical examples are presented to illustrate the efficiency of the approach. Copyright (C) 2010 John Wiley & Sons, Ltd.

关键词： solution interpolation conservative interpolation localization algorithm unstructured mesh mesh adaptation conservation laws

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Detection of Link Fault Using Risk Modelling and Improving QOS Parameters in IP/WDM Networks

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Circuits and Systems 2016年第9期7卷 2217-2233页

作者： K. Sashi Rekha M. Sumathi Department of Information Technology R. M. K. Engineering College Thiruvallur India Department of Electronics and Communication Engineering Dhirajlal Gandhi College of Technology Salem India

An operational backbone network is connected with many routers and other devices. Identifying faults in the network is very difficult, so a fault localization mechanism is necessary to identify fault and alleviate it and correct the faults in order to reduce the network performance degradation. A risk model needs to be devised based on the dynamic database by creating alternate path and the network is reconfigured by identifying dynamic paths. In this paper, an on-demand link state routing approach is used for handling failures in IP backbone networks and a localization algorithm is used to improve QOS parameters based on threshold value of gateway. It is proved that on-demand link state routing guarantees loop-free forwarding to reachable destinations regardless of the number of failures in the network, and in case of localization algorithm using modification process packet loss is avoided based on threshold value of gateway. Heuristic algorithm is also used for reconfiguration of dynamic path for effective fault localization. In this paper, in order to change the traffic condition, reconfiguration strategic is dynamically used. Dijikstra’s shortest path algorithm has been used to determine the shortest path between node pairs. Using risk modeling mechanism, a small set of candidate faults is identified. The concept of Fault localization is used to minimize the fault occurring in the node and sends original path to node pairs. The localization algorithm based on MODIFICATION PROCESS, packet loss is avoided in the network by checking threshold value of gateway. If the threshold value is maximum, router directly forwards the packet to destination through gateway and if the threshold value is minimum, router compresses the packet and forwards the packet to destination with notification via gateway.

关键词： Virtual Topology Reconfiguration Load Balancing localization algorithm On-Demand Link State Routing localization algorithm Based Modification

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Field Application of Magnet-Based Smart Rock for Bridge Scour Monitoring

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JOURNAL OF BRIDGE ENGINEERING 2019年第4期24卷

作者： Tang, Fujian Chen, Yizheng Guo, Chuanrui Fan, Liang Chen, Genda Tang, Yan Dalian Univ Technol Sch Civil Engn State Key Lab Coastal & Offshore Engn Dalian 116024 Liaoning Peoples R China Missouri Univ Sci & Technol Dept Civil Architectural & Environm Engn Pine Bldg 2051201 N Pine St Rolla MO 65401 USA

In this study, a smart rock, which is a magnet embedded in a concrete ball and whose direction is always pointing downwards, is proposed to monitor bridge scour depth. Based on the theory of magnetic field, the distribution of the magnet-induced magnetic field (MMF) induced by the smart rock was derived. An algorithm was developed to localize the position of the smart rock. Field tests were conducted at a bridge pier at three different times. Both the intensities of the ambient magnetic field (AMF) and the total magnetic field (TMF) were measured with a magnetometer. Results showed that the presence of steel reinforcement or steel girders in the bridge changed the distribution of the geomagnetic field. The algorithm successfully localized the position of the smart rock with an error ranging from 0.26 to 0.33m, which satisfied the requirement for engineering applications. The effective monitoring range depends on the variation of the AMF, and the maximum monitoring depth ranged from 11.5 to 8.5m as the standard deviation of the AMF increased from 32.3 to 80.75 nT. (c) 2019 American Society of Civil Engineers.

关键词： Smart rock Magnetic field Bridge scour Non-contact measurement Structural health monitoring localization algorithm

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DESIGN AND IMPLEMENTATION OF WIRELESS SENSOR NETWORK FOR ROBOT NAVIGATION

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International Journal of Information Acquisition 2007年第1期4卷 77-89页

作者： WANMING CHEN HUAWEI LIANG TAO MEI ZHUHONG YOU SHIFU MIAO SHUAI LI YAJIN ZHOU MAX Q.-H. MENG Institute of Intelligent Machines Chinese Academy of Science Hefei Anhui 230031 P. R. China Department of Automation University of Science and Technology of China Hefei Anhui Province 230027 P. R. China Department of Electronic Engineering The Chinese University of Hong Kong Sha Tian Hong Kong

Global Positioning System (GPS) is often used as a main information source for robot localization and navigation. However, it cannot be used in room or in field complex environment because of the bad signal there. To solve this problem, the authors designed and implemented a specific wireless sensor network (WSN) to provide information about the environment and indicate path for robot navigation. A two-stage auto-adaptive route selecting mechanism of the WSN was proposed to facilitate data relaying in localization and the robot's navigation. A low complexity localization algorithm was used to localize both the nodes and the robot. An indirect communication method was designed to make the communication between the WSN and the robot possible. In addition, a robot navigation method was proposed based on the wireless sensor network. In this method, the robot did not need to obtain the environment information; the wireless sensor nodes collected and fused the distributed information and then indicate a path for the robot. Experiments showed that the wireless sensor network can result in obstacle avoidance navigation, and can implement the online navigation.

关键词： Wireless sensor networks route selecting mechanism localization algorithm navigation method

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Improved Wireless Sensor Location algorithm Based on Combined Particle Swarm-Quasi-Newton with Threshold N

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INTERNATIONAL JOURNAL OF ONLINE ENGINEERING 2018年第5期14卷 31-41页

作者： Zhang, Hongqiang Wang, Chunhong Suihua Univ Coll Elect Engn Suihua Peoples R China

this paper drills down and systematically analyzes the improved DV-Hop algorithm about the origin of its position errors. A new method is hereby given for modifying such position errors. Beyond that, the particle swarm-quasi-Newton algorithm is improved, intercepting the combined DVHop location algorithm according to the number of known nodes which has been defined by a threshold N. The coordinate of unknown nodes is calculated and analyzed by the combined particle swarm-quasi-Newton algorithm. Then this paper makes a validation analysis on the results by the way of emulation. The results show that the improved algorithm is relatively superior with high precision and lower position error than improved DV-Hop as intercepted.

关键词： DV-Hop location algorithm localization algorithm particle swarm-quasi-Newton threshold N

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3D sensor network location spatial positioning technology based on machine learning

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INTERNATIONAL JOURNAL OF EMERGING ELECTRIC POWER SYSTEMS 2023年第1期24卷 13-23页

作者： Lu, Zhiyong Tan, Xiaodan Southern Med Univ Sch Biomed Engn Guangzhou 510515 Guangdong Peoples R China Guangdong Vocat Coll Elect Technol Guangzhou 510515 Guangdong Peoples R China

The purpose of this paper is to combine machine learning to locate the 3D sensor network space. Real life is mostly a three-dimensional environment. Whether it is a factory in manufacturing or a vegetation base in agriculture, it needs to be monitored and positioned. In this paper, the localization algorithm is discussed to a certain extent. This paper firstly introduces the relevant background and organizes related work. It also wrote related algorithms, such as ranging-based positioning algorithms in the free space of wireless sensors. It shows the positioning link by introducing the wireless sensor network structure system and node structure. And this paper summarizes the Bounding-box Method positioning principle, TDOA algorithm principle, and TDOA positioning principle. It then describes the gradient boosting tree classification algorithm based on machine learning, and focuses on the admiral boosting tree classification algorithm related to the experiment. This paper also describes the ranging technology combining RSSI algorithm and DV-Hop algorithm in three-dimensional space, and mentions two algorithms of RSSI and DV-Hop. In the fourth part, the machine learning coordinate prediction accuracy improvement experiment and the three-dimensional space positioning algorithm optimization experiment and result analysis are carried out. It is proved by experiments that the model evaluation effect of the gradient boosting tree classification algorithm in machine learning is the best. It can be applied to the calculation of relative position coordinates of label nodes. It then carried out the three-dimensional positioning effect test experiment of IDV-Hop algorithm. This shows that when the network density in the experimental environment reaches more than 12, the localization coverage of IDV-Hop algorithm and DV-Hop algorithm are both higher than 91%. Finally, the hybrid algorithm of RSSI and DV-Hop algorithm is used to compare the positioning accuracy, positioning cover

关键词： 3D sensor network DV-Hop algorithm gradient boosting tree algorithm hybrid algorithm localization algorithm machine learning

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An Enhanced Distance Vector-Hop algorithm using New Weighted Location Method for Wireless Sensor Networks

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INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS 2020年第5期11卷 486-495页

作者： Han, Fengrong Abdelaziz, Izzeldin Ibrahim Mohamed Liu, Xinni Ghazali, Kamarul Hawari Univ Malaysia Pahang Fac Elect & Elect Engn Pahang Malaysia

Location is an indispensable segment for Wireless Sensor Network (WSN), since when events happened, we need to know location. The distance vector-hop (DV-Hop) technique is a popular range-free localization algorithm due to its cost efficiency and non-intricate process. Nevertheless, it suffers from poor accuracy, and it is highly influenced by network topology;Especially, more hop counts lead to more errors. In the final phase, least squares are employed to address nonlinear equation, which will gain greater location errors. Aimed at addressing problems mentioned above, an enhanced DV-Hop algorithm based on weighted factor, along with new weighted least squares location technique, is proposed in this paper, and it is called WND-DV-Hop. First, the one hop count of unknown node was corrected by employed received signal strength indication (RSSI) technology. Next, in order to reduce average hop distance error, a weighted coefficient based on beacon node hop count was constructed. A new weighted least squares method was embedded to solve nonlinear equation problem. Finally, considerable experiments were carried out to estimate the performance of WND-DV-Hop, compared the outcomes with state-of-the-art DV-Hop, IDV-Hop, Checkout-DV-Hop, and New-DV-Hop depicted in literature. The empirical findings demonstrated that WND-DV-Hop significantly outperformed other localization algorithms.

关键词： Wireless Sensor Network (WSN) localization algorithm range-free distance vector-hop (DV-Hop) localization algorithm

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Study on Construction of Food Safety Information Platform Based on Internet of Things

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Advance Journal of Food Science and Technology 2016年第4期10卷 240-244页

作者： Zhi-Yi Wu Guangdong Institute of Science and Technology Zhuhai Guangdong 519090 China

In order to avoid the occurrence of food safety events, improve the food safety management level, the corresponding food safety information platform is constructed based on Internet of things. Firstly, the basic theory of Internet of things is analyzed; Secondly, the basic function of food safety information platform based on Internet of things are discussed; Thirdly, Hardware design of food safety management system; then the localization algorithm procession of food safety management system is studied; finally, the application situation of food safety information platform, results show that the food safety information platform is an effective means for food safety management.

关键词： Food safety information platform internet of things localization algorithm

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Three dimensional ultrasound gestural interface

Three dimensional ultrasound gestural interface

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IEEE International Ultrasonics Symposium

作者： Riccardo Carotenuto Radu Ionescu Pietro Tripodi Fabio Urbani DIMET Universita "Mediterranea" di Reggio Calabria Department of Engineering The University of Texas at Brownsville

ISBN: (纸本)9781424443895;9781424443901

Tracking complex human body 3D gestures to realize human-computer interfaces is possible using the proposed localization system. It is composed of a number of low-cost 3D remote position sensors and of a set of beacons that emit a sequence of ultra-acoustic pulses in the space region containing the position sensors. When impinged by the acoustic wavefronts, each sensor sends back a signal to a central unit through a suitable transmission channel. The central unit, knowing the positions of the acoustic beacons and the time of arrival of the sensor signals, computes the positions of the sensors, identifying and discarding possible false signals due to echoes and environmental noise. In a first prototype implementation, four coplanar beacons, actually earphones, are placed at the corners of a PC screen, and are forced to emit pulses in the 20 - 40 kHz band. Each sensor is equipped with a wideband miniature microphone, which is wired to an acquisition board. All the computation, including signal filtering, time of arrival detection, localization and results display, is carried out by a notebook PC at 25 Hz.

关键词： localization sensor localization algorithm Gestural man-machine interface Airborne ultrasounds position sensor hand-held equipment Beacons Sensors Human machine interaction Legumes Pulses Ambient Noise Echoes Acoustic beacons corners Three Dimensions

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Simulation Research of UWB location algorithm

Simulation Research of UWB location algorithm

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第30届中国控制与决策会议

作者： Jihong Liu He Jing Yanxia Xiang Zhiyu Guan College of Information Science and Engineering Northeastern University College of Computer Science and Engineering Northeastern University

Ultra Wideband solves the major problems of traditional wireless technology in *** this paper,a UWB positioning model based on the mixed algorithm of TOA（time of arrival）,RSSI（Received Signal Strength Indication）and TDOA（Time Difference of Arrival） is proposed,and the computer simulation is carried *** initial value which is closer to the real value is obtained by the TOA mixed RSSI *** the initial value is brought into the Taylor algorithm of TDOA,which solves the problem that the Taylor algorithm is not *** the simulation results show that the hybrid algorithm is more accurate when the SNR is high and the number of nodes is high.

关键词： UWB localization algorithm TDOA RSSI TOA

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