检索结果-内蒙古大学图书馆

A comparative study of a traditional localization algorithm and a deep learning model for radioactive particle tracking application

引用

APPLIED RADIATION AND ISOTOPES 2024年 205卷 111156页

作者： Dam, Roos Sophia de Freitas Affonso, Renato Raoni Werneck Salgado, William Luna Schirru, Roberto Salgado, Cesar Marques Univ Fed Rio De Janeiro Programa Engn Nucl Ave Horacio Macedo 2030Bloco G-Sala 206Cidade Un BR-21941914 Rio De Janeiro RJ Brazil Inst Engn Nucl Rua Helio Almeida 75 BR-21941906 Rio De Janeiro RJ Brazil

Radioactive particle tracking is a nuclear technique that tracks a sealed radioactive particle inside a volume through a mathematical location algorithm, which is widely applied in many fields such as chemical and civil engineering in hydrodynamics flows. It is possible to reconstruct the trajectory of the radioactive particle using a traditional mathematical algorithm or artificial intelligence methods. In this paper, the traditional algorithm is based on solving a minimization problem between the simulated events and a calibration dataset, and it was written using C++ language. The artificial intelligence method is represented by a deep neural network, in which hyperparameters were defined using a Python optimization library called Optuna. This paper aims to compare the potentiality of both methods to evaluate the accuracy of the radioactive particle tracking technique. This study proposes a simplified model of a concrete mixer, six NaI(Tl) detectors, and a137Cs sealed radioactive particle. The simulated measurement geometry and the dataset (3615 patterns) were developed using the MCNPX code, which is a mathematical code based on the Monte Carlo Method. The results show a mean absolute percentage error (MAPE) of 20.81%, 10.33%, and 16.84% for x, y and z coordinates, respectively, for the traditional algorithm. For the deep neural network, MAPE is 6.87%, 2.70%, and 22.79% respectively for x, y and z coordinates. In addition, an investigation is carried out to analyze whether the size of the calibration dataset influences the performance of both methods.

关键词： Radioactive particle tracking location algorithm Gamma radiation MCNPX code Deep neural network

来源：评论

学校读者我要写书评

暂无评论

Performance Study of Intelligent Monitoring System for Power Plant Based on UWB 24

Performance Study of Intelligent Monitoring System for Power...

引用

9th International Conference on Intelligent Information Processing, ICIIP 2024

作者： Sun, Lei Guo, Yixuan Zhan, Yong Zhang, Yimei Yue, Xiaoguang Zhu, Yue Wang, Rongheng Wuhan Railway Vocational College of Technology China European University Cyprus Cyprus Cyprus

ISBN: (纸本)9798400718076

With the continuous advancement of science and technology, the establishment of intelligent power plants has emerged as a prevailing trend in the modern power industry. The personnel positioning system serves as an integral component of intelligent power plants, playing a pivotal role in enhancing operational efficiency, ensuring personnel safety, and optimizing production management. This study presents the design of an ultra-wideband-based smart power plant monitoring system, thoroughly examines its positioning techniques and specific application scenarios, and integrates it with a visual platform to achieve trajectory tracking and accident early warning functionalities. Consequently, this research provides both theoretical support and practical guidance for the construction and development of intelligent power plants. Through comprehensive case analysis, we demonstrate the tangible benefits of employing such a positioning system in terms of enhancing power plant safety management practices, improving production efficiency levels, and facilitating emergency rescue operations. © 2024 Copyright held by the owner/author(s).

关键词： location algorithm

来源：评论

学校读者我要写书评

暂无评论

Low beacon node localisation algorithm in sensor networks based on multi-space key distribution algorithm

引用

INTERNATIONAL JOURNAL OF AUTONOMOUS AND ADAPTIVE COMMUNICATIONS SYSTEMS 2022年第3期15卷 266-278页

作者： Huang, Jianguo Fu, Sihan Northeast Normal Univ Coll Informat Technol & Sci Changchun 130117 Jilin Peoples R China Hefei Presch Educ Coll Hefei 230011 Anhui Peoples R China Xi An Jiao Tong Univ Dept Elect Sci & Technol Xian 710049 Shaanxi Peoples R China

In the traditional sensor network low beacon node localisation method, it is easy to be attacked by false routing, which seriously affects the localisation accuracy. A location algorithm based on multi - space key distribution algorithm is proposed. By using the key information of multiple key Spaces brought by sensor nodes, the paired keys in the information are accurately calculated. Routing messages are encrypted and authenticated to effectively prevent spurious routing attacks. The hopping number information and distance information between beacon nodes are used as training datasets. The least square method is learned to realise the localisation of sensor network low beacon nodes. Simulation results show that the algorithm can locate low beacon nodes quickly and accurately.

关键词： multi-space key distribution algorithm sensor network low beacon node location location algorithm multiple key spaces spurious routing attacks

来源：评论

学校读者我要写书评

暂无评论

Convex Localization algorithm based on Time Difference of Arrival for WSN in Uranium Tailings Radioactive Contamination

引用

WIRELESS PERSONAL COMMUNICATIONS 2021年第2期118卷 999-1015页

作者： YU, Xiu-wu HUANG, Lu-ping LIU, Yong YU, Hao LI, Ying Univ South China Hengyang Peoples R China Hunan Engn Res Ctr Uranium Tailings Decommiss & T Hengyang Peoples R China

In order to solve the problem of radionuclide pollution in uranium tailings reservoir, a new wireless sensor network technology is used to monitor uranium tailings reservoir on-line in real-time. Therefore, a convex positioning algorithm based on the time difference of arrival (TDOA) is proposed to meet the uranium tailings reservoir's monitoring requirements. First of all, the distance between the unknown node and each anchor node in the communication range is obtained by using the TDOA ranging method. Through many comparisons and screening times, three anchor nodes that are relatively far away from the unknown node are selected. Then the convex location algorithm is used to reduce the region of the unknown nodes. Then the estimated coordinates of the unknown nodes are obtained. Compared with the original convex algorithm, the results show that the proposed algorithm's positioning accuracy is 27% higher than that of the convex algorithm. The fluctuation range of positioning error is reduced by 26%, which can effectively meet the uranium tailings reservoir's monitoring needs.

关键词： Uranium tailings reservoir Wireless sensor network location algorithm Convex programming Time difference of arrival

来源：评论

学校读者我要写书评

暂无评论

Research on intelligent home design of internet of things based on ZigBee

引用

INTERNATIONAL JOURNAL OF COMMUNICATION NETWORKS AND DISTRIBUTED SYSTEMS 2021年第3期26卷 272-286页

作者： Yuan, Jie He, Yi Hunan City Univ Yiyang Hunan Peoples R China Beijing Jinhehaitai Informat Technol Co Ltd Room 522Door 5Bldg 416North Taiping Rd Beijing Peoples R China

With the rapid development of information technology, improving the intelligent level of family life and modern life style is the trend of future development. Based on the analysis of the development of smart home at home and abroad, a smart home system is designed by combining ZigBee wireless sensor network, gateway technology and mobile terminal remote control app. Firstly, the development and relating technologies of ZigBee are discussed. Secondly, the system overall architecture and data outlier analysis are carried out. Thirdly, the routing algorithm of ZigBee is improved based on neighbour table, and corresponding mathematical model is designed. Fourthly, the location algorithm of ZigBee is improved based on RSSI location algorithm and DV-Hop algorithm. Finally, the system performance is tested based on simulation analysis, results show that the proposed intelligent home system has better performance.

关键词： ZigBee internet of things IoT intelligent home system location algorithm routing algorithm

来源：评论

学校读者我要写书评

暂无评论

A Positioning Optimization System for Intelligent Pharmaceutical Production Line Based on Visual Imaging 23

A Positioning Optimization System for Intelligent Pharmaceut...

引用

Proceedings of the 2023 International Conference on Power, Communication, Computing and Networking Technologies

作者： Yingkun Hu Xiufang Zeng Pinzhong Chen School of Computer and Information Engineering Guangdong Polytechnic of Industry & Commerce China School of Electronics and Information Engineering South China Normal University China

ISBN: (纸本)9781450399951

On the pharmaceutical automation production line, the application of artificial intelligence technologies such as machine vision can make pharmaceutical production automated and intelligent, improve the quality and efficiency of pharmaceutical production. It can be said that machine vision is a major core technology for the automation and intelligence of pharmaceutical production equipment. This article focuses on the visual positioning technology for the filling and sealing process of traditional Chinese medicine in pharmaceutical automation production lines. The research content mainly includes two aspects: The design of visual imaging systems and the research on visual positioning algorithms for bottle mouths, stoppers, and caps. The visual imaging system uses an industrial camera combined with a circular light source, and then uses a hand eye calibration installation method to capture high-quality images of bottle mouth, cork, and cap on a movable robotic arm. Next, a series of image preprocessing operations are carried out on the original image, including Gaussian filtering and smoothing of the image to remove noise, gamma transform image enhancement and edge detection preprocessing operations, and the use of Canny edge detection to obtain images with good foreground and background contrast, appropriate brightness, and prominent edges. Finally, a circle fitting algorithm based on KMeans++ was used to locate the extracted edge images of bottle mouth, bottle stopper, and bottle cap, and the experimental results were preliminarily analyzed.

关键词： KMeans++ Visual imaging system location algorithm

来源：评论

学校读者我要写书评

暂无评论

An analysis of improvement methods for UWB positioning accuracy

An analysis of improvement methods for UWB positioning accur...

引用

作者： Xujie Fang Hangzhou New Channel School

Nowadays, due to the advancement of 5G technology and the emergence of smart cities, people's working and production environments are gradually transitioning from outdoors to indoors. Consequently, an increasing number of corporate and governmental organizations are demanding high-precision indoor positioning solutions. The utilization of ultra-wideband(UWB) signals in indoor positioning systems possesses multiple benefits, such as high transmission rates, strong anti-jamming capabilities, simple structures, and superior security measures. As a result, UWB stands out among other typical indoor positioning methods and has vast market potential. This paper introduces the basic concepts of ultra-wideband positioning techniques and thoroughly discusses the current state of domestic and international research as well as the main positioning models. The trilateral measurement method and TOA positioning algorithms are the primary focus of this paper. In the future, by exploring the combination of intelligent algorithms and wireless positioning technology by combining ultra-wideband and a variety of positioning methods and integrating these technologies together, it is possible to significantly improve positioning accuracy.

关键词： UWB Indoor Positioning High Precision Positioning location algorithm TOA

来源：评论

学校读者我要写书评

暂无评论

Demonstration and verification experiment in deep space optical communications

引用

OPTICS COMMUNICATIONS 2022年 507卷 127605-127605页

作者： Wang, Qiang Zhao, Guoqiang Ma, Jing Tan, Liying Zhao, Haochen Harbin Inst Technol Natl Key Lab Tunable Laser Technol Harbin 150001 Peoples R China

In deep space optical communications, pointing, acquisition and tracking (PAT) system need to locate the position of the beacon, precisely. The way of employing the natural celestial body as the beacon come to draw attention, in contrast to regarding the laser as the beacon which has a series of problems of limited power, serious attenuation, high cost and difficult design realization. In this paper, the primary goal is to study the problem of precise positioning for the beacon by taking the natural celestial body as the beacon. Given the long distance, with small target and large uncertain region in deep space optical communications, the location of the beacon can be realized by the combination of rough and precise positioning based on the image feature of the beacon. Firstly, it performs the rough positioning according to the image characteristic information of the beacon's edge, then in the uncertain region, the processing scope has been narrowed according the results of the rough positioning, finally the beacon is precisely located based on its minutiae feature by the way of feature point matching to achieve the position of the beacon. The impact due to the autorotation of celestial body on the image transform has been also discussed and analyzed with the mapping relationship of coordinate and geometric transform. The feasibility of the algorithm is verified by a long distance far-field Earth-Moon experiment. The design of system implementation on embedded hardware system can provide a reference for the real-time positioning system in deep space optical communications.

关键词： Deep space optical communication location algorithm Earth-Moon experiment

来源：评论

学校读者我要写书评

暂无评论

Achieving Reliable Underground Positioning With Visible Light

引用

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT 2022年 71卷 1页

作者： Pang, Mingzhi Shen, Gang Yang, Xu Zhang, Kuiyuan Chen, Pengpeng Wang, Guofa China Univ Min & Technol Sch Comp Sci & Technol Xuzhou 221116 Jiangsu Peoples R China China Univ Min & Technol Sch Mechatron Engn Xuzhou 221116 Jiangsu Peoples R China Chinese Acad Engn Beijing Peoples R China China Coal Res Inst CCRI China Coal Technol & Engn Grp Beijing Peoples R China

Visible light technology shows great potential in the underground mine positioning today. Most visible light-based underground positioning technology deploy the receiver, such as photodiodes (PDs), on the mine tunnel ground and consider the miner's lamp on the ceiling as the transmitter. This incurs the unreliable reception of visible light signals and the difficult implementation of VLP systems due to the complex underground mine environment, such as the receiver being obscured or trampled by objects (e.g., Minecarts and Ore). We present a reliable underground positioning algorithm with visible light considering the actual mine environment. The key innovation is that we design a novel reverse mechanism, i.e., utilizing the existing miner's headlamp as the transmitter for broadcasting the specific light beacon representing the mine's identity information, and the PDs deployed on the ceiling of the mine tunnel as the receiver for optical signal reception. We can infer the current locations of all miners using a series of base stations constructed by PDs. If some special mine environment limits the large-scale deployment of base stations and causes the positioning blind spots, the inertial navigation is combined to achieve all miners' real-time positioning. We overcome some technical challenges for this new mechanism and the underground mine environment, such as optimal frequency selection, robust frequency identification, and accurate base station positioning. We conduct extensive experiments on our algorithm in a simulated mine tunnel, and the experimental results verify that our algorithm exhibits good performance.

关键词： Base stations Optical transmitters Personnel Hardware Frequency modulation Reliability Optical receivers location algorithm personnel positioning underground positioning visible light communication (VLC) visible light positioning (VLP)

来源：评论

学校读者我要写书评

暂无评论

Dedicated and shared solutions for reliable function splitting in 5G X-haul

引用

PHOTONIC NETWORK COMMUNICATIONS 2020年第3期40卷 245-255页

作者： Masood Khorsandi, Bahare Colle, Didier Tavernier, Wouter Raffaelli, Carla Univ Bologna DEI Bologna Italy Univ Ghent IMEC Ghent Belgium

Functional splitting, referred as X-haul, is introduced in the 5G networks to support flexibility and meet service requirements. Each split option has a different impact on latency and bandwidth characteristics. Depending on the split, a certain amount of redundant resources is required to provide resiliency against outages or failures, as in the case of the uRLLC service. This paper proposes novel reliable function placement algorithms for functional splitting to guarantee service continuity in case of single CU/DU or link failure, namely based on dedicated and shared path protection principles. The proposed techniques not only provide a scalable approach to design full protection against single failure but also exhibit significant savings in terms of network resources, by suitably sharing redundant backup resources. The obtained results show significant improvement in terms of bandwidth saving and multiplexing gain with respect to conventional C-RAN fronthaul, depending on the distance constraints, thus suggesting design criteria for 5G aggregation networks.

关键词： 5G X-haul Function chain Resiliency location algorithm

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：