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Novel indoor positioning system based on ultra-wide bandwidth

Visual Computing for Industry,Biomedicine,and Art 2020年第1期3卷 1-6页

作者： Zhen Wei Rui Jiang Xing Wei Yun-An Cheng Lei Cheng Cai Wang School of Computer and Information Hefei University of TechnologyHefei 230009China Engineering Research Center of Safety-critical Industry Measure and Control Technology of Ministry of Education Hefei 230009China School of Mechanical Engineering Hefei University of TechnologyHefei 230009China

To tackle challenges such as interference and poor accuracy of indoor positioning systems,a novel scheme based on ultra-wide bandwidth(UWB)technology is ***,we illustrate a distance measuring method between two UWB ***,a Taylor series expansion algorithm is developed to detect coordinates of the mobile node using the location of anchor nodes and the distance between *** results show that the observation error under our strategy is within 15 cm,which is superior to existing *** final experimental data in the hardware system mainly composed of STM32 and DW1000 also confirms the performance of the proposed scheme.

关键词： Indoor positioning Ultra-wide bandwidth Position algorithm Hardware platform

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Learning disturbance-aware correlation filter with adaptive Kaiser window for visual object tracking

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Image and Vision Computing 2025年 160卷

作者： Jianming Zhang Jiangxin Dai Wentao Chen Ke Nai Key Laboratory of Safety Control of Bridge Engineering Ministry of Education (Changsha University of Science and Technology) Changsha 410076 China School of Computer and Communication Engineering Changsha University of Science and Technology Changsha 410076 China

Discriminative Correlation Filters (DCF) have been recognized as a classic and effective method in the field of object tracking. In order to mitigate boundary effects, prior DCF-based tracking methods have commonly employed a fixed Hanning window, limiting the adaptability to fluctuations of the response map. Therefore, we propose a disturbance-aware correlation filter with adaptive Kaiser window (DCFAK) for visual object tracking. The adaptive Kaiser window dynamically adjusts its values according to the kurtosis of the response map, effectively suppressing boundary effects. Additionally, to further improve robustness, our DCFAK introduces a disturbance peaks suppression method, which can better distinguish the target object from the objects with similar appearance in the background by attenuating the sub-peaks within the response map. We comprehensively evaluate the performance of our DCFAK on seven datasets, including OTB-2013, OTB, 2015, TC-128, DroneTB, 70, UAV123, UAVDT, and LaSOT. The results demonstrate the superior performance of our method across these datasets.

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Magnetite processing and magnetic field analysis of iron ore core inductor in iron grade sensor

Magnetite processing and magnetic field analysis of iron ore...

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2014 International Conference on Manufacturing technology and Electronics Applications, ICMTEA 2014

作者： Wang, Li Jie Li, Jian Xin Sun, Lian Kui Zhang, Fu Jun Yang, Xiu Kun College of Measure-Control Technology and Communication Engineering Harbin University of Science and Technology China The Higher Educational Key Laboratory on Measuring and Control Technology and Instrumentations of Heilongjiang Province China

ISBN: (纸本)9783038353287

In order to realize the online monitoring for iron grade of the magnetite during the dressing process, an iron grade fast measurement method based on electromagnetic induction is given, critical segment of the method is to make the iron grade information acquisition by adopting an iron ore core inductance sensor. Magnetic field analysis for iron ore core inductors of the sensor is explored in the paper. Taking a magnetite in certain regions of Liaoning as the test typical sample examples, physicochemical properties of its raw ore are analyzed, the iron ore samples are prepared and made, and the dressing process are completed. Ferromagnetics features of the magnetite samples above is analyzed, magnetic field distribution of the iron ore core inductor is analyzed, and analytic calculation formula of the magnetic fields is derived. Theory of solving the inductance of iron ore core inductor adopting finite element method of energy is discussed. Furthermore, total finite element design for the iron ore core inductor is made;distribution of electromagnetic field is analyzed. Influence regulations of self-inductance coefficients of the inductor are obtained, thus, the optimal combination of structural parameters of the inductor are designed. There is important practical significance to realize the iron grade testing automation for magnetite and other iron ores of the thesis research above. © (2014) Trans Tech Publications, Switzerland.

关键词： Finite element method

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Optimal power allocation for multi-user OFDM and distributed antenna cognitive radio with RoF

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The Journal of China Universities of Posts and Telecommunications 2010年第6期17卷 41-46,71页

作者： GE Wen-dong JI Hong SI Peng-bo LI Yi School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing 100876 China School of Electronics Information and Control Engineering Beijing University of Technology Beijing 100022 China

In cognitive radio （CR）,power allocation plays an important role in protecting primary user from disturbance of secondary user. Some existing studies about power allocation in CR utilize ＇interference temperature＇ to achieve this protection,which might not be suitable for the OFDM-based CR. Thus in this paper,power allocation problem in multi-user orthogonal frequency division multiplexing （OFDM） and distributed antenna cognitive radio with radio over fiber （RoF） is firstly modeled as an optimization problem,where the limitation on secondary user is not ＇interference temperature＇,but that total throughput of primary user in all the resource units （RUs） must be beyond the given threshold. Moreover,based on the theorem about maximizing the total throughput of secondary user,equal power allocation algorithm is introduced. Furthermore,as the optimization problem for power allocation is not convex,it is transformed to be a convex one with geometric programming,where the solution can be obtained using duality and Karush-Kuhn-Tucker （KKT） conditions to form the optimal power allocation algorithm. Finally,extensive simulation results illustrate the significant performance improvement of the optimal algorithm compared to the existing algorithm and equal power allocation algorithm.

关键词： cognitive radio power allocation OFDM distributed antenna convex optimization radio over fiber （RoF）

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Quantum proof and high-speed privacy amplification for quantum key distribution

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Physical Review Applied 2025年第5期23卷 054004-054004页

作者： Bing-Qi Yan Jun-Bin Wu Fan Fan Bing-Jie Xu Xiao-Ling Zhang Min Gu Key Laboratory of Atomic and Subatomic Structure and Quantum Control (Ministry of Education) Guangdong Basic Research Center of Excellence for Structure and Fundamental Interactions of Matter School of Physics South China Normal University Guangzhou 510006 China Guangdong Provincial Key Laboratory of Quantum Engineering and Quantum Materials Guangdong-Hong Kong Joint Laboratory of Quantum Matter South China Normal University Guangzhou 510006 China Quantum Science Center of Guangdong-HongKong-Macao Greater Bay Area (Guangdong) Shenzhen 518000 China School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu 611731 China National Key Laboratory of Security Communication Institute of Southwestern Communication Chengdu 610041 China

Privacy amplification (PA) is a vital step in the postprocessing stage of quantum key distribution, which can extract a secure key from a source partially leaked to the environment. We propose a PA scheme that uses the square hash (SQH)–modular arithmetic hash (MH) function. In consideration of a potential quantum attacker, we use the trace distance as a metric to measure the closeness between two classical-quantum states. We transform a raw key state to a processed state using this scheme and derive the trace distance between the processed state and the ideal target state. It is proven that the trace distance can be reached as small as desired. Additionally, our approach accelerates the SQH-MH function through the number-theoretic transform, reducing the computational complexity to O(nlog n). On the basis of a CPU, a maximum throughput rate of 1.06 Gbit/s is achieved, and the results show that our algorithm demonstrates good stability of the throughput rate when handling tasks with different compression ratios.

关键词： Number theory

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Contrastive Clustering for Unsupervised Recognition of Interference Signals

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Computer Systems Science & engineering 2023年第8期46卷 1385-1400页

作者： Xiangwei Chen Zhijin Zhao Xueyi Ye Shilian Zheng Caiyi Lou Xiaoniu Yang The School of Communication Engineering Hangzhou Dianzi UniversityHangzhou310018China The Science and Technology on Communication Information Security Control Laboratory Jiaxing314001China

Interference signals recognition plays an important role in anti-jamming *** the development of deep learning,many supervised interference signals recognition algorithms based on deep learning have emerged recently and show better performance than traditional recognition ***,there is no unsupervised interference signals recognition algorithm at *** this paper,an unsupervised interference signals recognition method called double phases and double dimensions contrastive clustering(DDCC)is ***,in the first phase,four data augmentation strategies for interference signals are used in data-augmentation-based(DA-based)contrastive *** the second phase,the original dataset’s k-nearest neighbor set(KNNset)is designed in double dimensions contrastive *** addition,a dynamic entropy parameter strategy is *** simulation experiments of 9 types of interference signals show that random cropping is the best one of the four data augmentation strategies;the feature dimensional contrastive learning in the second phase can improve the clustering purity;the dynamic entropy parameter strategy can improve the stability of DDCC *** unsupervised interference signals recognition results of DDCC and five other deep clustering algorithms show that the clustering performance of DDCC is superior to other *** particular,the clustering purity of our method is above 92%,SCAN’s is 81%,and the other three methods’are below 71%when jammingnoise-ratio(JNR)is−5 *** addition,our method is close to the supervised learning algorithm.

关键词： Interference signals recognition unsupervised clustering contrastive learning deep learning k-nearest neighbor

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Few-shot jamming recognition based on NMF combined with multi-dimensional fusion network

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Signal Processing 2025年 237卷

作者： Jiachen Li Jiaxian Hao Yukai Kong Xianxiang Yu Zhaoyin Xiang Guolong Cui Wenmin Wang School of Mathematical Science University of Electronic Science and Technology of China Chengdu 611731 China School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu 611731 China Beijing Institute of Control and Electronic Technology Beijing 100190 China

Accurately identifying specific types of active jamming is essential for optimizing radar resources and enhancing anti-jamming efficiency, particularly in the context of few-shot sample sizes, as discussed in this study. We first employ non-negative matrix factorization (NMF) to pre-process the radar signal. NMF enhances the feature representation of data while simultaneously augmenting the sample size. Subsequently, we propose a multi-dimensional fusion network (MDFN) designed to integrate high-dimensional features and classify jamming signals effectively. The proposed method demonstrates superior performance compared to existing approaches across twelve categories of jamming in few-shot scenario. Experimental results are presented to validate the reliability and effectiveness of the proposed method.

关键词： Non-negative matrix factorization

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Spreading dynamics of information on online social networks

arXiv

引用

arXiv 2025年

作者： Meng, Fanhui Xie, Jiarong Sun, Jiachen Xu, Cong Zeng, Yutian Wang, Xiangrong Jia, Tao Huang, Shuhong Deng, Youjin Hu, Yanqing School of Systems Science and Engineering Sun Yat-sen University Guangzhou510275 China Center for Computational Communication Research Beijing Normal University Zhuhai519087 China School of Journalism and Communication Beijing Normal University Beijing100875 China School of Computer Science and Engineering Sun Yat-sen University Guangzhou510006 China Department of Statistics and Data Science College of Science Southern University of Science and Technology Shenzhen518055 China College of Mechatronics and Control Engineering Shenzhen University Shenzhen518060 China College of Computer and Information Science Chongqing Normal University Chongqing401331 China College of Computer and Information Science Southwest University Chongqing400715 China Institute of Neuroscience Technical University of Munich Munich80802 Germany Department of Modern Physics University of Science and Technology of China Hefei230026 China MinJiang Collaborative Center for Theoretical Physics College of Physics and Electronic Information Engineering Minjiang University Fuzhou350108 China Center for Complex Flows and Soft Matter Research Southern University of Science and Technology Shenzhen518055 China

Social media is profoundly changing our society with its unprecedented spreading power. Due to the complexity of human behaviors and the diversity of massive messages, the information spreading dynamics are complicated, and the reported mechanisms are different and even controversial. Based on data from mainstream social media platforms, including WeChat, Weibo, and Twitter, cumulatively encompassing a total of 7.45 billion users, we uncover a ubiquitous mechanism that the information spreading dynamics are basically driven by the interplay of social reinforcement and social weakening effects. Accordingly, we propose a concise equation, which, surprisingly, can well describe all the empirical large-scale spreading trajectories. Our theory resolves a number of controversial claims and satisfactorily explains many phenomena previously observed. It also reveals that the highly clustered nature of social networks can lead to rapid and high-frequency information bursts with relatively small coverage per burst. This vital feature enables social media to have a high capacity and diversity for information dissemination, beneficial for its ecological development. © 2025, CC BY.

关键词： Tweets

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Research of the scheduling method for fieldbus network real-time information

Research of the scheduling method for fieldbus network real-...

引用

6th International Forum on Strategic technology, IFOST 2011

作者： Zhang, Yuping Li, Chen Higher Educational Key Laboratory for Measuring and Control Technology College of Measure-Control Tech.and Communication Engineer Harbin University of Science and Technology Harbin China School of Electrical Engineering and Automation Harbin Institute of Technology Harbin China

ISBN: (纸本)9781457703966

The real time property of fieldbus network is very important to industrial control system, and the scheduling method of real-time information is an important factor that influences the real time property of fieldbus network. According to industrial real-time applications, a node produces a variety of information which have different requirements for real-time characteristics, the mixed service strategies scheduling method has been presented. This method makes the information scheduling process have the real-time property and without losing its flexibility. The results of simulation show that, compared with the traditional way of using a single service rule, the mixed service rule makes the transmission delay time of real-time information reduced by 50.00%53.75%. © 2011 IEEE.

关键词： Medium access control

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A quick detection approach of magnetic iron grade for magnetite

A quick detection approach of magnetic iron grade for magnet...

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2014 International Conference on Energy Research and Power engineering, ERPE 2014

作者： Wang, He Nan Wang, Li Jie Wang, He Bing Men, Guan Hua Liu, Ye Liu, Hong Yan College of measure-control technology and communication engineering Harbin university of science and technology China Higher educational key lab. on measuring and control tech. and instrumentations of Heilongjiang China

ISBN: (纸本)9783038351603

In order to achieve aims of rapid real-time monitoring iron grade during sales process or mineral processing for the iron ores, a quick detection approach to magnetic iron grade of magnetite based on electromagnetic induction is explored in the paper. Information acquisition head is focused on an iron grade sensor, and the iron grade sensor is made up of coil-windings with magnetite core. Information acquisition circuits are given adapting mode of the transformer bridge type rectifier, and construction of the head is designed and machined. Testing mechanism is analyzed from the angle of magnetic field analysis, and the magnetic field model is also built up. Furthermore, magnetic iron grade of some testing samples are measured by the detection device above. It is showed that when the grade range of the magnetic iron of magnetite is varied from 20% to 65.3%, deviation is lower than 1.0%. By research above, it is shown that the detection method of iron grade based on electromagnetic induction is feasible, and it is also significant for improving the total testing level of mineral processing fields. © (2014) Trans Tech Publications, Switzerland.

关键词： Magnetite

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