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2023 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2023

作者： Xu, Panpan Tan, Weijie Niu, Kun Li, Zhen Peng, Changgen School of Mathematics and Statistics Guizhou University Guiyang China Key Laboratory of Advanced Manufacturing Technology of Ministry of Education Guizhou China Guizhou Big Data Academy Guizhou University Guiyang China College of Computer Science and Technology Guizhou University State Key Laboratory of Public Big Data Guiyang China College of Big Data and Information Engineering Guizhou University Guiyang China

ISBN: (纸本)9798350316728

In the paper, we investigate the secure communication of multiple-input single-output (MISO) systems with multiple eavesdroppers. We jointly design the beamforming (BF) and the artificial noise (AN) in MISO systems with multiple eavesdroppers to enhance the secrecy rate. Furthermore, under the secrecy interrupt constraint, we obtain the calculation formulas of the secrecy interrupt probability and the optimal secrecy rate. The simulation results demonstrate that AN with a higher dimension can effectively obstruct eavesdroppers and enhance the system's optimal secrecy rate. In addition, it is proved that the 1/4 full-dimension AN's secrecy rate close to that of the full-dimension AN in the system with multiple eavesdroppers, allowing the trade-off between system secrecy performance and artificial noise design complexity to be realized. © 2023 IEEE.

关键词： Economic and social effects

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KAN v.s. MLP for Offline Reinforcement Learning

arXiv

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arXiv 2024年

作者： Guo, Haihong Li, Fengxin Li, Jiao Liu, Hongyan School of Information Renmin University of China China Institute of Medical Information Medical Library Chinese Academy of Medical Sciences Peking Union Medical College China Key Laboratory of Data Engineering and Knowledge Engineering Ministry of Education China School of Economics and Management Tsinghua University China

Kolmogorov-Arnold Networks (KAN) is an emerging neural network architecture in machine learning. It has greatly interested the research community about whether KAN can be a promising alternative of the commonly used Multi-Layer Perceptions (MLP). Experiments in various fields demonstrated that KAN-based machine learning can achieve comparable if not better performance than MLP-based methods, but with much smaller parameter scales and are more explainable. In this paper, we explore the incorporation of KAN into the actor and critic networks for offline reinforcement learning (RL). We evaluated the performance, parameter scales, and training efficiency of various KAN and MLP based conservative Q-learning (CQL) on the the classical D4RL benchmark for offline RL. Our study demonstrates that KAN can achieve performance close to the commonly used MLP with significantly fewer parameters. This provides us an option to choose the base networks according to the requirements of the offline RL tasks. © 2024, CC BY.

关键词： Adversarial machine learning

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Entropy engineering in CaZn_(2)Sb_(2)-YbMg_(2)Sb_(2)Zintl alloys for enhanced thermoelectric performance

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Rare Metals 2022年第9期41卷 2998-3004页

作者： Ke-Jia Liu Zong-Wei Zhang Chen Chen Li-Hua Wei Huo-Lun He Jun Mao Qian Zhang School of Materials Science and Engineering and Institute of Materials Genome&Big DataHarbin Institute of TechnologyShenzhen518055China Department of Mechanical Engineering The University of Hong KongHong Kong999077China State Key Laboratory of Advanced Welding and Joining Harbin Institute of TechnologyHarbin150001China

The significant atomic disorder induced by entropy engineering can effectively suppress lattice thermal conductivity and improve thermoelectric *** variety of compositions of Zintl phases offers a wide range of possibilities for entropy *** we successfully prepared a five-component solid solution(CaZn_(2)Sb_(2))_(0.5)(YbMg_(2)Sb_(2))_(0.5) with a configurational entropy of~1.40R,whereR is the gas *** a result,the room-temperature lattice thermal conductivity was only~0.68 W·m^(-1)·K^(-1),which is lower than that of all AM_(2)Sb_(2) Zintl phases.

关键词： alloys entropy performance

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Spatial-temporal changes and driving factors of eco-environmental quality in the Three-North region of china

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Journal of Arid Land 2023年第3期15卷 231-252页

作者： LONG Yi JIANG Fugen DENG Muli WANG Tianhong SUN Hua Research Center of Forestry Remote Sensing&Information Engineering Central South University of Forestry and TechnologyChangsha 410004China Key Laboratory of Forestry Remote Sensing Based Big Data&Ecological Security for Hunan Province Changsha 410004China Key Laboratory of National Forestry&Grassland Administration on Forest Resources Management and Monitoring in Southern Area Changsha 410004China

Eco-environmental quality is a measure of the suitability of the ecological environment for human survival and socioeconomic *** the spatial-temporal distribution and variation trend of eco-environmental quality is essential for environmental protection and ecological *** remote sensing ecological index(RSEI)can quickly and objectively quantify eco-environmental quality and has been extensively utilized in regional ecological environment *** this paper,Moderate Resolution Imaging Spectroradiometer(MODIS)images during the growing period(July-September)from 2000 to 2020 were obtained from the Google Earth Engine(GEE)platform to calculate the RSEI in the three northern regions of china(the Three-North region).The Theil-Sen median trend method combined with the Mann-Kendall test was used to analyze the spatial-temporal variation trend of eco-environmental quality,and the Hurst exponent and the Theil-Sen median trend were superimposed to predict the future evolution trend of eco-environmental *** addition,ten variables from two categories of natural and anthropogenic factors were analyzed to determine the drivers of the spatial differentiation of eco-environmental quality by the geographical *** results showed that from 2000 to 2020,the RSEI in the Three-North region exhibited obvious regional characteristics:the RSEI values in Northwest china were generally between 0.2 and 0.4;the RSEI values in North china gradually increased from north to south,ranging from 0.2 to 0.8;and the RSEI values in Northeast china were mostly above *** average RSEI value in the Three-North region increased at an average growth rate of 0.0016/a,showing the spatial distribution characteristics of overall improvement and local degradation in eco-environmental quality,of which the areas with improved,basically stable and degraded eco-environmental quality accounted for 65.39%,26.82%and 7.79%of the total study area,*** Hurst

关键词： eco-environmental quality remote sensing ecological index Google Earth Engine Hurst exponent geographical detector Three-North region of china

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Traceable Ring Signature Scheme in Internet of Vehicles Based on Lattice Cryptography 21

Traceable Ring Signature Scheme in Internet of Vehicles Base...

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21st IEEE International Symposium on Parallel and Distributed Processing with Applications, 13th IEEE International Conference on Big data and Cloud Computing, 16th IEEE International Conference on Social Computing and Networking and 13th International Conference on Sustainable Computing and Communications, ISPA/BDCloud/SocialCom/SustainCom 2023

作者： Liao, Wei Han, Lansheng Chen, Peng Huazhong University of Science and Technology Hubei Key Laboratory of Distributed System Security Hubei Engineering Research Center on Big Data Security School of Cyber Science and Engineering Wuhan China

ISBN: (纸本)9798350329223

Lattice cryptography, as a recognized Cryptosystem that can resist quantum computation, has great potential for development. Lattice based signature scheme is currently a research focus. In this paper, the traceable ring signature scheme based on lattice cryptography in the Internet of Vehicles (IoV) environment is studied. Firstly, users' public and private keys are generated on the lattice, which effectively reduces the key size and time cost. Secondly, the scheme also achieves traceability by adding additional information. The scheme satisfies strong unforgeability, traceability, and anonymity. In addition, the traceable ring signature scheme based on lattice cryptography is applied in the IoV environment to effectively protect user privacy. Model communication can not only protect user privacy, but also trace the signer when necessary, achieving a balance between security and privacy. The simulation results show that the average delay of IoV of our scheme is better than that of similar schemes. The research in this paper improves the security of data transmission in the IoV environment, enables it to adapt to the complex and changeable new network environment, and effectively guarantees the information security of vehicles and owners. © 2023 IEEE.

关键词： Cryptography

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Magic-sized CdSe nanoclusters for efficient visible-light-driven hydrogen evolution

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Nano Research 2022年第4期15卷 3106-3113页

作者： Ping Wang Qingqing Yang Chen Xu Bo Wang Huan Wang Jidong Zhang Yongdong Jin State Key Laboratory of Electroanalytical Chemistry Changchun Institute of Applied ChemistryChinese Academy of Sciences5625 Renmin StreetChangchun 130022China State Key Laboratory of Polymer Physics and Chemistry Changchun Institute of Applied ChemistryChinese Academy of Sciences5625 Renmin StreetChangchun 130022China University of Science and Technology of China No.96JinZhai RoadHefei 230026China School of Materials Science and Engineering Jilin Jianzhu University5088 Xincheng StreetChangchun 130118China

Semiconductor magic-sized nanoclusters have got tremendous interests owing to their distinct chemical and photophysical properties,however,researches concerning their applications are still quite ***,we employ magic-sized CdSe nanoclusters as the light absorber for hydrogen photogeneration,which exhibits much better photocatalytic performance as compared to other conventional semiconductor quantum dots,such as CdS,CdSe,CdS/CdSe,and CdSe/CdS under identical *** lifetime and transient absorption studies indicated that the superior activity is mainly ascribed to the longer exciton lifetime and fast electron transfer from nanoclusters to ***,the issue of instability during reaction could be significantly inhibited by anchoring Zn2+onto the surface of nanoclusters,which gives the average efficacy of hydrogen evolution at 0.61±0.07 mL·h^(-1)·mgcatalyst^(-1),i.e.,27.3±2.9 mmol·h^(-1)·g_(catalyst)^(-1)(420 nm)with maintained 95.2%of original activity over 12 h illumination.

关键词： magic-sized nanoclusters CdSe photocatalysis hydrogen

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Rethinking Distribution Alignment for Inter-class Fairness 1

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1st International Conference on Artificial Intelligence Security and Privacy, AIS and P 2023

作者： Ye, Jinhuang Wu, Jiawei Li, Zuoyong Zheng, Xianghan College of Computer and Big Data Fuzhou University Fuzhou350108 China School of Intelligent Systems Engineering Sun Yat-sen University Shenzhen518107 China Fujian Provincial Key Laboratory of Information Processing and Intelligent Control College of Computer and Control Engineering Minjiang University Fuzhou350121 China

ISBN: (数字)9789819997886

ISBN: (纸本)9789819997879

Semi-supervised learning (SSL) is a successful paradigm that can use unlabelled data to alleviate the labelling cost problem in supervised learning. However, the excellent performance brought by SSL does not transfer well to the task of class imbalance. The reason is that the class bias of pseudo-labelling further misleads the decision boundary. To solve this problem, we propose a new plug-and-play approach to handle the class imbalance problem based on a theoretical extension and analysis of distribution alignment. The method, called Basis Transformation Based Distribution Alignment (BTDA), efficiently aligns class distributions while taking into account inter-class *** implements the basis transformation through a learnable transfer matrix, thereby reducing the performance loss caused by pseudo-labelling biases. Extensive experiments show that our proposed BTDA approach can significantly improve performance in class imbalance tasks in terms of both accuracy and recall metrics when integrated with advanced SSL algorithms. Although the idea of BTDA is not complex, it can show advanced performance on datasets such as CIFAR and SVHN. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Image classification

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Semi-global Stereo Matching Algorithm by Superpixel Guided Cost Aggregation 23

Semi-global Stereo Matching Algorithm by Superpixel Guided C...

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15th International Conference on Digital Image Processing, ICDIP 2023

作者： Jiang, Puzhao Ma, Xing Mu, Chunyang Ping, Lujing College of Electronic and Information Engineering North Minzu University Yinchuan China The Key Laboratory of Intelligent Information and Big Data Processing North Minzu University Yinchuan China College of Electronic and Information Engineering North Minzu University Yinchuan China

ISBN: (纸本)9798400708237

Aiming at the problem of disparity calculation in small occluded areas by using path aggregation to fuse adjacent pixel features in traditional semi-global stereo matching algorithms, a semi-global stereo matching algorithm by superpixel guided cost aggregation is proposed. The algorithm begins by fusing local feature information of the image with superpixel blocks during the first aggregation step, and then combines the path aggregation to complete the entire cost aggregation step. The disparity of 4 groups of classic Middlebury image pairs is calculated experimentally, and the average mismatch rate of all regions and non-occluded regions is 4.69%, more than 0.36% higher than the comparison algorithm, and the mismatch rate of non-occlusion regions is 3.13%, more than 1.12% higher than the comparison algorithm. Experiments show that the proposed algorithm can effectively optimize the disparity of partially occluded pixels and improve the effect of non-occluded areas. © 2023 ACM.

关键词： Superpixels

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How to Mitigate Information Loss in knowledge Graphs for GraphRAG: Leveraging Triple Context Restoration and Query-Driven Feedback

arXiv

引用

arXiv 2025年

作者： Huang, Manzong Bu, Chenyang He, Yi Wu, Xindong Key Laboratory of Knowledge Engineering with Big Data [Hefei University of Technology Ministry of Education China School of Data Science William & Mary WilliamsburgVA United States

knowledge Graph (KG)-augmented Large Language Models (LLMs) have recently propelled significant advances in complex reasoning tasks, thanks to their broad domain knowledge and contextual awareness. Unfortunately, current methods often assume KGs to be complete, which is impractical given the inherent limitations of KG construction and the potential loss of contextual cues when converting unstructured text into entity-relation triples. In response, this paper proposes the Triple Context Restoration and Query-driven Feedback (TCR-QF) framework, which reconstructs the textual context underlying each triple to mitigate information loss, while dynamically refining the KG structure by iteratively incorporating query-relevant missing knowledge. Experiments on five benchmark question-answering datasets substantiate the effectiveness of TCR-QF in KG and LLM integration, where it achieves a 29.1% improvement in Exact Match and a 15.5% improvement in F1 over its state-of-the-art GraphRAG competitors. © 2025, CC BY.

关键词： knowledge graph

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Enhancing Online Teaching Effectiveness Through Hand-Raising Detection 4

Enhancing Online Teaching Effectiveness Through Hand-Raising...

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4th International Conference on Information Science and Education, ICISE-IE 2023

作者： Zhu, Xiaoke Dong, Zhiwei Chen, Xiaopan Shi, Yufeng Henan Engineering Research Center of Intelligent Technology and Application Henan University Kaifeng China School of Computer and Information Engineering Henan University Kaifeng China Henan University Henan Key Laboratory of Big Data Analysis and Processing Kaifeng China

ISBN: (纸本)9798350394610

After the outbreak of the COVID-19 pandemic, online teaching has gradually emerged as an indispensable component of education. Despite its convenience, online education lacks the immediate interactive experience inherent in traditional classrooms. This paper presents a meticulously designed DS-YOLOv8 network model, specifically tailored for real-time recognition of students raising their hands under cameras. On our proprietary dataset, this network model exhibits exceptional accuracy in hand-raising detection, showcasing a 1.3% improvement in the AP50 index compared to the baseline YOLOv8 model. Our focus lies on the application of hand-raising detection within online classrooms with an objective to provide enhanced support for teachers by promptly identifying students raising their hands and thereby improving teaching efficiency while enriching the interactive experience of students in virtual learning environments. © 2023 IEEE.

关键词： Students

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