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RFID based location algorithm for property management

INTERNATIONAL JOURNAL OF RF TECHNOLOGIES-RESEARCH AND APPLICATIONS 2020年第1期11卷 1-13页

作者： Xu, Le Zhengzhou Railway Vocat & Tech Coll Zhengzhou 450000 Henan Peoples R China

To solve the problem of significant location error caused by non-line of sight (NLOS), multi-path transmission and other factors in the property management functional location of college sports venues, radio frequency identification location algorithm (RFIDLA) is proposed. Given the range error caused by location recognition volatility, RFIDLA value is used to optimize the property management functional location of college sports venues, and RFID based location algorithm for property management is proposed. Compared with traditional location algorithms, RFIDLA has optimized the weight model and speed update strategy, which can prevent the situation from falling into local optimum. After the simulation experiment, the algorithm is further applied to the property management functional location experiment of college sports venues. Throught the actual measurement experiment, it is verified that the mean location error of the proposed algorithm in the test environment is less than 0.5 m, with a better locator effect compared with LSE and standard identification location algorithm.

关键词： College sports venues property management functional location attenuation model location algorithm

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Research On A Fast location algorithm For Human Eye Center Used In Automatic Optometry Unit

Research On A Fast Location Algorithm For Human Eye Center U...

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Chinese Automation Congress (CAC)

作者： Wu, Hao Qiu, Jun Fang, Qin Xie, Yunzhen Yang, Jie Jiangxi Univ Sci & Technol Dept Elect Engn & Automat Ganzhou Peoples R China NingboTech Univ Sch Informat Sci & Engn Ningbo Peoples R China Zhejiang Univ Coll Elect Engn Ningbo Peoples R China Zhejiang Univ Ind Technol Res Inst Hangzhou Peoples R China

ISBN: (纸本)9781728176871

Fast, accurate, and locating the pupil center on low-cost hardware is the goal followed by developing the automatic optometry unit. In this paper, we propose a double-filtered pupil center location algorithm tackle with the goal followed. First, the collected image is processed into a binary image. Second, we double-filter all connected components in the binarized image by the pixel number and relative position of the target connected component. Third, we use the spatial moment algorithm to locate the center of the target connected components. Finally, the center point of the target connected components are fitted into an ellipse by using a least-squares ellipse-fitting algorithm, and the center of the ellipse is the center of the pupil. This paper uses simulated eyes to experiment with the designed algorithm on Raspberry Pi 4B. The experimental results show that: Compared with the traditional location algorithm in the same experimental environment, the designed algorithm improves the running speed and anti-interference ability while ensuring the accuracy of the center locating. Therefore, the designed algorithm can fully meet to carry out on low-cost hardware real-time identification and location.

关键词： location algorithm pupil center double filter the spatial moment least squares ellipse fitting

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A Novel Hybrid location algorithm Based on Chaotic Particle Swarm Optimization for Mobile Position Estimation

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IEEE ACCESS 2019年 7卷 58541-58552页

作者： Yue, Yinggao Cao, Li Hu, Jun Cai, Shaotang Hang, Bo Wu, Hao Sichuan Univ Sci & Engn Artificial Intelligence Key Lab Sichuan Prov Yibin 644000 Peoples R China Hubei Univ Arts & Sci Comp Sch Xiangyang 441053 Peoples R China Southwest Univ Sci & Technol Sch Informat Engn Mianyang 621010 Peoples R China

location estimation is significant in mobile and ubiquitous computing systems. Considering the influence of measurement error caused by time difference of arrival (TDOA)/angle of arrival (AOA) hybrid location algorithm and the nonlinear optimization problem encountered in the location estimation, in this paper, a particle swarm optimization (PSO) algorithm based on the chaos theory is proposed for the hybrid location of mobile location estimation. Taking the TDOA/AOA hybrid location algorithm for mobile location estimation as the object, the proposed algorithm greatly improves the location performance and accuracy of mobile location estimation. First, the estimation function of the mobile station is obtained by the maximum likelihood method, and then the initial population of PSO is generated by using the estimation function of the mobile station as a fitness function. The chaotic optimized particle swarm optimization algorithm (CPSO) is used to solve the optimal solution of the optimal position of the population and obtain the optimal mobile location position estimation, which makes the TDOA/AOA location algorithm have better location performance. The simulation results have demonstrated that the performance of the proposed method compared with the traditional Chan algorithm, the Taylor algorithm, and the TDOA/AOA hybrid location algorithm, the proposed algorithm can reduce the impact of error on the location accuracy, achieve a balance of global and local search capabilities, and have a faster convergence speed and more accurate positioning accuracy.

关键词： location algorithm particle swarm optimization chaos theory time difference of arrival arrival angle TDOA/AOA

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An auxiliary container loading location algorithm based on computer vision 34

An auxiliary container loading location algorithm based on c...

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34th Youth Academic Annual Conference of Chinese-Association-of-Automation (YAC)

作者： Dai, Mengting Liu, Qing Wang, Jingbo Wuhan Univ Technol Sch Automat Wuhan 430070 Hubei Peoples R China

ISBN: (纸本)9781728139364

Port container handling is an important part of terminal operations. When loading multiple containers, operators can only rely on human eyes and PLC information to obtain the location of the container. To avoid the serious consequences of miscalculation, a combination algorithm is proposed in this paper. We choose coastline, container ridgeline and container number as features to analyses and locate. coastline location algorithm based on color space and improved OTSU segmentation. Container ridgeline location based on Sobel and clustering algorithm. Container number location based on Maximally Stable Extremal Regions (MSER) algorithm. After testing 71 group operation videos of 4 bridge cranes in Ningbo port, the combination algorithm achieves better positioning accuracy. The average processing time of a single frame is less than 0.6s. The algorithm proposed in this paper provides an effective reference and solution for improving the efficiency of terminal operations.

关键词： location algorithm clustering algorithm OTSU segmentation MSER algorithm

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Fault detection and location algorithm for DG-integrated distribution systems

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JOURNAL OF ENGINEERING-JOE 2018年第15期2018卷 1286-1290页

作者： Manditereza, Patrick Tendayi Bansal, Ramesh C. Cent Univ Technol Dept Elect Elect & Comp Engn Bloemfontein Free State South Africa Univ Pretoria Dept Elect Elect & Comp Engn Pretoria South Africa

The overcurrent protection on the traditional distribution system uses local measurements and settings as a basis for decision-making. However, connection of multiple distributed generators with different short-circuit characteristics makes the local measurements unpredictable, leading to possible loss of protection coordination. In order to solve this problem, this study proposes an algorithm that achieves its protection function through load flow and sensitivity calculations based on voltage measurements. The algorithm is built on a modelling approach that splits the distribution network into a series of overlapping protection zones. The overlapping feature is realised logically through peer-to-peer communications between intelligent agents located in adjacent zones. A sensitivity-based electrical signature was identified that is generated when a fault occurs within a zone. Simulation results show that the proposed protection algorithm is able to identify the zone in which the fault has occurred and the specific faulted node or line section in that zone. The fault current contributions, or no contributions, of the distributed generators (DGs) do not impact the operation of this algorithm.

关键词： fault diagnosis fault currents overcurrent protection distributed power generation power distribution protection power distribution faults distribution networks location algorithm distribution generators fault current contributions specific faulted node protection algorithm sensitivity-based electrical signature adjacent zones peer-to-peer communications overlapping feature overlapping protection zones distribution network modelling approach voltage measurements sensitivity calculations load flow protection function protection coordination possible loss short-circuit characteristics multiple distributed generators decision-making settings local measurements traditional distribution system overcurrent protection DG-integrated distribution systems

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Study of Wireless Sensor Network location algorithm and Data Collection Protocol

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INTERNATIONAL JOURNAL OF ONLINE ENGINEERING 2016年第10期12卷 70-75页

作者： Han, Weimin Li, Shijun Li, Weidong Hunan Vocat Inst Technol Dept Wind Engn Xiangtan 411000 Peoples R China Hunan Inst Engn Xiangtan Hunan Peoples R China Hunan Prov Key Lab Wind Generator & Its Control X Xiangtan Peoples R China Powerchina Zhongnan Engn Co Ltd Changsha 410014 Hunan Peoples R China Hunan Prov Cooperat Innovat Ctr Wind Power Equipm Xiangtan Peoples R China

It is deduced that the network life time is inversely proportional to the zone area of the collection data that each sink is responsible for. That is to say, when the zone area in the charge of a sink is smaller, the average load of nodes distributed in this area and the energy consumption are smaller, while the network life time is longer. MSGP protocol is proposed, with several round cluster head candidate zones, fixed member zones and public zones being delimited to make approximately uniform clustering. The cluster head is responsible for collecting a meaningful event in the cluster, making data fusion and then forwarding it to sink. Multi-sinks move according to the zone division rules and the rule of free movement. Specific analysis is made from three aspects of data direction, single round data collection of sink, and network life time.

关键词： wireless sensor network data collection protocol location algorithm multi-sinks

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A Fusion location algorithm Based on Federated Kalman Filtering

A Fusion Location Algorithm Based on Federated Kalman Filter...

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2016 4th International Conference on Machinery,Materials and Computing Technology(ICMMCT 2016)

作者： LV Long-hui JIN Hong-xia Henan Quality Engineering Vocational College

The paper designed a WLAN system with RFID systems joint locating algorithm based on Federated Kalman Filtering. For the problem in indoor mobile node single positioning system, such as insufficient positioning accuracy, longer positioning time and not ideal algorithm complexity, it was proposed that the federated filtering techniques was applied in the location system, and was combined with data from WLAN and RFID to realize all accuracy improved. In the system, sub-filter use unscented Kalman filter algorithm independent measurement updates and time update, and the subsystem information is fused with the main filter based on no feedback mode. It was proved from the result that the calculation improved was of feasibility, which reduced unscented Kalman filter calculation, decreased maximum deviation and minimum deviation and improved the positioning accuracy.

关键词： Federal Kalman Filter WLAN System RFID System location algorithm Fusion algorithm

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WKNN indoor location clustering algorithm with triangle correction

WKNN indoor location clustering algorithm with triangle corr...

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2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology(FMSMT 2017)

作者： Di Zhou Haiyan Lan Guoyin Zhang Xuesong Ma Eryue Liang College of computer science and technology Harbin Engineering University Heilongjiang Academy of Sciences

ISBN: (纸本)9781510840232

Aiming at the problem of low precision in the positioning stage of fingerprint location positioning technology based on Wi Fi, through the comparative study of the nearest neighbor classification algorithm(NN),K nearest neighbor classification algorithm(KNN) and Bias algorithm, and then we present a kind of weighted KNN algorithm of based on triangle correction. On the one hand, the algorithm uses the difference between the AP signal intensity value of the node and the fingerprint node to be taken as the weighting factor, and the positioning accuracy of KNN is improved by the contribution ratio of different fingerprint nodes;On the other hand, we further improve the positioning accuracy by selecting three nearest neighbor points which the unknown node must be in the triangle composed of these three points. Finally, the simulation results showed the effectiveness of the algorithm.

关键词： indoor location location algorithm triangle correction

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An evaluation and query algorithm for the influence of spatial location based on RkNN

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Frontiers of Computer Science 2021年第2期15卷 81-89页

作者： Jingke XU Yidan ZHAO Ge YU School of Computer Science and Engineering Northeastern UniversityShenyang110819China School of Information and Control Engineering Shenyang Jianzhu UniversityShenyang110168China Liaoning Province Big Data Management and Analysis Laboratory of Urban Construction Shenyang110168China

This paper is devoted to the investigation of the evaluation and query algorithm problem for the influence of spatial location based on RkNN(reverse k nearest neighbor).On the one hand,an object can make contribution to multiple ***,for the existing measures for evaluating the influence of spatial location,an object only makes contribution to one location,and its influence is usually measured by the number of spatial objects in the *** this case,a new measure for evaluating the influence of spatial location based on the RkNN is *** the weight of the contribution is determined by the distance between the object and the location,the influence weight definition is given,which meets the actual *** the other hand,a query algorithm for the influence of spatial location is introduced based on the proposed ***,an algorithm named INCH(INtersection’s Convex Hull)is applied to get candidate regions,where all objects are ***,kNN and Range-k are used to refine ***,according to the proposed measure,the weights of objects in RkNN results are computed,and the influence of the location is *** experimental results on the real data show that the optimized algorithms outperform the basic algorithm on *** addition,in order to provide the best customer service in the location problem and make the best use of all infrastructures,a location algorithm with the query is presented based on *** influence of each facility is calculated in the location program and the equilibrium coefficient is used to evaluate the reasonability of the location in the *** smaller the equilibrium coefficient is,the more reasonability the program *** actual application shows that the location based on influence makes the location algorithm more reasonable and available.

关键词： spatial data reverse k nearest neighbor influence of spatial location location algorithm

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location and spectral extraction algorithm for a static broadband snapshot imaging spectrometer

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OPTICAL ENGINEERING 2024年第3期63卷 035103-035103页

作者： Wang, Zhipeng Yang, Qinghua Li, Bingbin Wang, Weiqiang Xidian Univ Sch Optoelect Engn Xian Peoples R China Chinese Acad Sci Xian Inst Opt & Precis Mech State Key Lab Transient Opt & Photon Xian Peoples R China

A location algorithm and a spectral extraction algorithm for a static broadband snapshot imaging spectrometer (SBSIS) are presented. The high-energy target is dispersed into a V-shaped pseudo-image (VPI) in the focal plane of the SBSIS. The location algorithm accurately calculates the target azimuth based on the one-to-one mapping relationship between the intersection position of the extension lines of the two arms of the VPI and the azimuth of the target. The spectral extraction algorithm is described to extract the characteristic spectrum of the target based on the azimuth angle of the target and the VPI.

关键词： spectrometer high-energy target location algorithm spectral extraction algorithm picture processing

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