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A novel cognitive opportunistic communication framework for coal mines

Coal International 2024年第1期272卷 41-50页

作者： Hu, Qingsong Ding, Juan Li, Shiyin School of Information and Control Engineering China University of Mining and Technology Xuzhou Jiangsu China Zhuhai College Jilin University Zhuhai Guangdong China

The dynamic advancement and harsh environment of coal mines often result in intermittent or regional wireless connection between sending nodes and receiving nodes and then lead to the decrease of transmission success ratio and even failure. To solve this problem, the environmental cognition and best-effort transmission are both demanded. Here we proposed a novel communication framework for coal mines based on a cognitive opportunistic concept to address the wireless network communication problems in coal mines, which consists of the node mobility model in coal mines, cooperative cognition of the time-varying communication environment, and the opportunistic routing of intermittent or regional connection scenarios. To realise this framework, real time neighbour discovering mechanisms and mobility perceiving strategies, called environment cognition, must be deeply investigated to predict the trends of node movement. The obtained results of environment cognition are then used to analyse current channel characteristics to determine and set optimum communication system parameters and reduce the probability of intermittent or regional connection. To address those unavoidable situations of the intermittent or regional connection, the opportunistic routing mechanism is brought forward to provide relatively stable data transmission. Finally, as an example of cognitive opportunistic mine communication of this framework, personnel evacuation under an emergency is discussed. © 2024 Tradelink Publications Ltd.. All rights reserved.

关键词： Coal mines

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Anomaly Detection of MIL-STD-1553 Word Types Based on LSTM 5

Anomaly Detection of MIL-STD-1553 Word Types Based on LSTM

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5th International Conference on Sensing, Measurement and Data Analytics in the Era of Artificial Intelligence, ICSMD 2024

作者： Xi, Longyu Meng, Shengwei Pan, Dawei Song, Yuchen Liu, Datong Peng, Xiyuan School of Electronics and Information Engineering Harbin Institute of Technology Harbin China College of Information and Communication Engineering Harbin Engineering University Harbin China

ISBN: (纸本)9798331529192

MIL-STD-1553 is a data bus standard that is widely used in many military scenarios due to its high reliability and stability for real-time time-division multiplexing communication. The robust design of the MIL-STD-1553 helps to improve the fault tolerance of the bus system in the event of an anomaly, but detection of these anomalies is necessary to minimize their generation and ensure reliable data transmission from a testing perspective. With a variety of information transfer formats on MIL-STD-1553, it is important to find a method of anomaly detection that is accurate, efficient and universal. To address this issue, this paper proposes a method based on Long Short-Term Memory (LSTM) to predict MIL-STD-1553 word types as an indicator of anomaly detection. Firstly, this paper proposes a MIL-STD-1553 word encoding method to extract the sequential features during information transmission. Then, an LSTM-based model is used to predict the type of the next word based on the encoded sequence of known MIL-STD-1553 words. Finally, the anomalies are determined by comparing the actual word type with the predicted word type. The method was validated on datasets containing word type anomalies and datasets containing attack injections that can lead to word type anomalies. The experimental results show that the method is effective in identifying word type anomalies in MIL-STD-1553 information transfer sequences. © 2024 IEEE.

关键词： Encoding (symbols)

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Ciprofloxacin(CIP)-polluted water treatment via a facile mechanochemical route:Influencing factors and mechanism insights

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水科学与水工程 2025年第1期18卷 21-29页

作者： Xiao-yi Wang Cheng-liang Dong Kun Xu Ri-long Xiao Xiu-juan Feng School of Information and Control Engineering China University of Mining and TechnologyXuzhou 221116China Mechano-chemistry Research Institute China University of Mining and TechnologyXuzhou 221116China Mechano-chemistry Research Institute China University of Mining and TechnologyXuzhou 221116China School of Mines China University of Mining and TechnologyXuzhou 221116China School of Information and Control Engineering China University of Mining and TechnologyXuzhou 221116China School of Mines China University of Mining and TechnologyXuzhou 221116China Rare Earth Research Institute China University of Mining and TechnologyXuzhou 221116China

Degrading ciprofloxacin(CIP)-polluted water has recently emerged as an urgent environmental *** study introduced mechano-chemical treatment(MCT)as an innovative and underexplored approach for the degradation of CIP in *** influence of various additives(CaO,Fe2O3,SiO2,Al,and Fe)on CIP degradation efficiency was ***,six types of composite additives(Fe-CaO,Fe-Fe2O3,Fe-SiO2,Fe-Al,Al-SiO2,and Al-CaO)were explored,with the composite of 20％Fe and 80％SiO2 exhibiting notable *** impacts of additive content,pH value,and co-existing ions on CIP degradation efficiency were ***,the effectiveness of MCT in degrading other medical pollutants(norfloxacin,ofloxacin,and enrofloxacin)was *** transformations and changes in the crystal structure,oxidation state,microstructure,and morphology of the Fe-SiO2 composite additive were characterized using X-ray diffraction,X-ray photoelectron spectroscopy,and scanning electron microscopy *** study proposed a sigmoid trend kinetic model(the Delogu model)that better elucidates the MCT *** plausible degradation pathways were discussed based on intermediate substance identification and pertinent *** study not only establishes a pathway for the facile degradation of CIP pollutants through MCT but also contributes to advancements in wastewater treatment methodologies.

关键词： Mechanochemistry Degradation of ciprofloxacin Fe-SiO2 additive Medical pollutants Wastewater treatment

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NSS-ML: a Novel spectrum sensing framework using machine learning for cognitive radio IoT networks

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International Journal of information technology (Singapore) 2024年第7期16卷 4599-4604页

作者： Marriwala, Nikhil Kumar Shukla, Vinod Kumar Shanbhog, Manjula Panda, Sunita Kaushik, Ruchi Rathore, Deepak Dept. of Electronics and Communication Engineering University Institute of Engineering and Technology Kurukshetra University Information Technology Head of Academics-School of Engineering Architecture Interior Design Amity University School of Sciences Christ (deemed to be university) Dept. of Electrical Electronics and Communication Engineering GITAM School of Technology Dept. of Electronics and Communication Engineering Guru Ghasidas Vishwavidyalaya

A key component of cognitive radio systems is spectrum sensing, which reduces coexistence problems and maximises spectrum efficiency. However, the introduction of multiple situations with distinct characteristics brought about by 5G communication presents problems for spectrum sensing to support a wide range of applications with high performance and flexible implementation. Inspired by these difficulties, a new method with a multi-layer extreme learning machine optimised for bats is presented in this study. This technique makes use of a variety of input vectors, such as channel ID, energy, distance, and received signal intensity, to enhance user categorization and sensing capabilities. Moreover, we compare the proposed method with the state-of-the-art spectrum sensing approaches in order to evaluate its effectiveness in 5G situations, especially in healthcare applications. Evaluation metrics including channel detection probability, sensitivity, and selectivity are carefully examined. The findings unequivocally prove the suggested spectrum sensing approach’s superiority over current methods and highlight its potential for smooth incorporation into a variety of 5G applications. © Bharati Vidyapeeth's Institute of Computer Applications and Management 2024.

关键词： 5G communications BAT algorithm Cognitive radio Spectrum sensing

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Group-Based Successive Interference Cancellation for Multi-Antenna NOMA System with Error Propagation

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China communications 2023年第8期20卷 276-287页

作者： Cheng Hu Hong Wang Changxiang Li Rongfang Song School of Network and Communication Nanjing Vocational College of Information TechnologyNanjing 210023China School of Communication and Information Engineering Nanjing University of Posts and TelecommunicationsNanjing 210003China National Mobile Communications Research Laboratory Southeast UniversityNanjing 210096China

Non-orthogonal multiple access(NOMA)is viewed as a key technique to improve the spectrum efficiency and solve the issue of massive ***,for power domain NOMA,the required overall transmit power should be increased rapidly with the increasing number of users in order to ensure that the signal-to-interference-plus-noise ratio reaches a predefined *** addition,since the successive interference cancellation(SIC)is adopted,the error propagation would become more serious as the order of SIC *** at minimizing the total transmit power and satisfying each user’s service requirement,this paper proposes a novel framework with group-based SIC for the deep integration between power domain NOMA and multi-antenna *** on the proposed framework,a joint optimization of power control and equalizer design is investigated to minimize transmit power consumption for uplink multi-antenna NOMA system with error *** on the relationship between the equalizer and the transmit power coefficients,the original problem is transformed to a transmit power optimization problem,which is further addressed by a parallel iteration *** is shown by simulations that,in terms of the total power consumption,the proposed scheme outperforms the conventional OMA and the existing cluster-based NOMA schemes.

关键词： multi-antenna NOMA group-based successive interference cancellation error propagation power control

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Consensus algorithm for medical data storage and sharing based on master–slave multi-chain of alliance chain

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High-Confidence Computing 2023年第3期3卷 12-21页

作者： Yixian Zhang Feng Zhao School of Information and Communication Guilin University of Electronic TechnologyGuilin 541004China School of Artificial Intelligence and Information Engineering Guangxi Electrical Polytechnic InstituteNanning 530299China

The safe storage and sharing of medical data have promoted the development of the public medical *** the same time,blockchain technology guarantees the safe storage and sharing of medical ***,the consensus algorithm in the current medical blockchain cannot meet the requirements of low delay and high throughput in the large-scale network,and the identity of the primary node is exposed and vulnerable to ***,this paper proposes an efficient consensus algorithm for medical data storage and sharing based on a master–slave multi-chain of alliance chain(ECA_MDSS).Firstly,institutional nodes in the healthcare alliance chain are clustered according to geographical location and medical system structure to form a multi-zones *** system adopts master–slave multi-chain architecture to ensure security,and each zone processes transactions in parallel to improve consensus ***,the aggregation signature is used to improve the practical Byzantine fault-tolerant(PBFT)consensus to reduce the communication interaction of consensus in each ***,an efficient ring signature is used to ensure the anonymity and privacy of the primary node in each zone and to prevent adaptive ***,a trust model is introduced to evaluate the trust degree of the node to reduce the evil done by malicious *** experimental results show that ECA_MDSS can effectively reduce communication overhead and consensus delay,improve transaction throughput,and enhance system scalability.

关键词： Alliance chain Master-slave multi-chain Consensus algorithm Aggregation signature Ring signature Trust value

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Innovative applications of black box testing: A new strategy for teaching assessment in higher education1 (March 2025)

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IEEE Access 2025年 13卷 90514-90526页

作者： Wang, Hanjiao Zhang, Yongbin Fu, Xiuli Beijing Institute of Graphic Communication School of Mechanical and Electrical Engineering Beijing102600 China Beijing Institute of Petrochemical Technology Department of Information Engineering Beijing102617 China

Grade inflation in traditional teacher-led evaluation methods in higher education undermines the accurate assessment of students' abilities, hinders their subsequent learning and career development, and negatively affects institutions and society. To address this problem, this paper describes an innovative approach that applies the black box testing method, traditionally used in software testing, to the evaluation of college course grades. This method eliminates direct teacher involvement in course teaching and management;instructors design assessment questions solely based on the syllabus to evaluate students' learning outcomes. Using the C language course offered during the spring semester of 2021-2022 for mechanical engineering students at the Beijing Institute of Printing as a case study, this research compares student performance under the black box test method with traditional instructor-designed assessments. Results reveal that students scored significantly lower under the black box testing approach, validating its potential to mitigate grade inflation. This study not only highlights a novel application of black box testing in education but also offers a more objective and equitable framework for evaluating academic performance, benefiting students, parents, educational institutions, and society. © 2013 IEEE.

关键词： Black-box testing

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An Improved Interleaver Identification Algorithm Based on Conformity of Parity-check Equation 6

An Improved Interleaver Identification Algorithm Based on Co...

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6th International Conference on communication engineering and technology, ICCET 2023

作者： Liu, Meizhen Chen, Zengmao Sun, Zhiguo Yi, Hongjing Harbin Engineering University Key Laboratory of Advanced Marine Communication and Information Technology School of Information and Communication Engineering Harbin China

ISBN: (纸本)9798350336153

In view of the low identification rate under low signal-to-noise ratio in the existing Turbo code interleaver identification algorithms, a novel identification algorithm is proposed in this paper by integrating the verification update of the information into the average conformity of the verification equation. Compared to the conventional identification algorithm, this paper re-estimates the check sequence and the input information sequence utilizing the information of the known interleaving position, so that the remaining interleaving positions can be recognized in turn after the data errors are reduced. The simulation results suggest that the proposed algorithm has a higher recognition rate than the conventional algorithm when the signal-to-noise ratio is low. © 2023 IEEE.

关键词： Signal to noise ratio

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Cross-domain identity authentication scheme based on blockchain and PKI system

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High-Confidence Computing 2023年第1期3卷 8-17页

作者： Hai Zhang Feng Zhao School of Information and Communication Guilin University of Electronic TechnologyGuilin 541004China School of Artificial Intelligence and Information Engineering Guangxi Electrical Polytechnic InstituteNanning 530299China

In vehicular ad hoc networks(VANET),the cross-domain identity authentication of users is very important for the development of VANET due to the large cross-domain mobility of vehicle *** Public Key Infrastructure(PKI)system is often used to solve the identity authentication and security trust problems faced by ***,the PKI system has challenges such as too centralized Authority of Certification Authority(CA),frequent cross-domain access to certificate interactions and high authentication volume,leading to high certificate management costs,complex cross-domain authentication paths,easy privacy leakage,and overburdened *** address these problems,this paper proposes a lightweight blockchain-based PKI identity management and authentication architecture that uses smart contracts to reduce the heavy burden caused by CAs directly managing the life cycle of digital *** this basis,a trust chain based on smart contracts is designed to replace the traditional CA trust chain to meet the general cross-domain requirements,to effectively avoid the communication pressure caused by a mass of certificate *** the cross-domain scenario with higher privacy and security requirements the identity attribute authentication service is provided directly while protecting privacy by using the Merkle tree to anchor identity attribute data on and off the blockchain ***,the proposed scheme was comprehensively analyzed in terms of cost,time consumption and security.

关键词： Vehicular ad hoc network PKI Blockchain Cross-domain authentication

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A model predictive control strategy with switching cost functions for cooperative operation of trains

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Science China(information Sciences) 2023年第7期66卷 224-236页

作者： Zixuan ZHANG Haifeng SONG Hongwei WANG Ling LIU Hairong DONG State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University School of Electronic and Information Engineering Beihang University Beijing National Railway Research and Design Institute of Signal and Communication

The cooperative control of trains is proposed as an innovative method for further improving operation efficiency. Model predictive control(MPC) has been widely discussed for multiple trains because it can handle the challenges posed by the cooperative control problem, such as complex constraints. In real situations, multiple objectives, such as comfort and safety, must be considered when controlling multiple trains with MPC, and the total objective may change during operation, affecting control performance. In this paper, a distributed structure based on switching cost function model predictive control(ScMPC) for multiple trains in a switching situation is given, where the cost functions of the train control problem change with the variable demand of cooperative operation. Furthermore, the feasibility of the proposed method and stability of the closed-loop system are proved to guarantee the stable operation of the controlled ***, the control method's effectiveness is verified. Three kinds of cost functions are given, and their control performance is compared to show the effect of different weights and the advantage of ScMPC.

关键词： cooperative control switching cost functions model predictive control automatic train operation railway train

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