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Research on patent recommendation method based on graph neural network 26

Research on patent recommendation method based on graph neur...

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26th international conference on Computer Supported Cooperative Work in Design, CSCWD 2023

作者： Zhang, Enchao Liu, Weidong Liu, Shi Cao, Yan Institute of Scientific and Technical Information of China China College of Computer Science Inner Mongolia University China Natl. Loc. Jt. Eng. Research Center of Intelligent Information Processing Technology for Mongolian China Inner Mongolia Key Laboratory of Social Computing and Data Processing China Inner Mongolia Engineering Laboratory for Big Data Analysis Technology China

ISBN: (纸本)9798350331684

Intellectual property transactions have shown a strong growth momentum in recent years, but the patent transaction market has been plagued by the matching degree of consumers and sellers, resulting in frequent problems such as low patent transformation efficiency and poor transaction quality. this paper proposes a method of recommending patents to consumers by experts to improve the environment of patent transactions. through the analysis of the past transaction information of the patent, the effective path information of the target is extracted. the graph neural network is used to describe the characteristics and semantics among experts, patents and consumers, and then capture the potential weight among them through the common attention mechanism, and then dynamically integrate them to predict the occurrence of recommendation behavior. the paper makes reasonable use of social information and expert information in the transaction, which significantly improves the rationality and accuracy of expert recommendation. © 2023 IEEE.

关键词： Patents and inventions

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Design and implementation of an anti-cheating system for exams 5

Design and implementation of an anti-cheating system for exa...

引用

5th international conference on Computer Communication and Network Security, CCNS 2024

作者： Zheng, Zhiguo Lin, Shuteng Chen, Xiusheng School of Information Engineering Hainan Vocational University of Science and Technology Haikou China

ISBN: (纸本)9781510681842

With the continuous advancement of information technology, remote education exams are facing increasingly diverse cheating methods, and traditional monitoring methods are no longer sufficient to cope with these challenges. this study aims to design and implement a comprehensive anti-cheating system for exams. the core of this system is an intelligent monitoring system that integrates head posture recognition and eye tracking technologies. By monitoring the multidimensional behavior of examinees, it effectively identifies and prevents cheating behaviors. the system also enhances security through functions such as anti-screenshot, disabling clipboard, and preventing remote answering. through practical application testing, the system can effectively identify and prevent various cheating methods, significantly improving the monitoring efficiency and fairness of remote exams. this research provides a comprehensive and effective technical solution for modern educational exam supervision, which is of great significance in improving the security and fairness of remote online exams. © 2024 SPIE.

关键词： Face recognition

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ELCCFD: An Efficient and Enhanced Credit Card Fraud Detection using Enhanced Deep Learning Principle 5

ELCCFD: An Efficient and Enhanced Credit Card Fraud Detectio...

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5th international conference on Image Processing and Capsule Networks, ICIPCN 2024

作者： Potluri, Pandarinath Suneel, Sajja Chandra, B. Muthukumaran, D. Upadhyaya, Makarand Rajesh Kanna, R. Sitarampuram Narsapuram West Godavari district department of CSE Swarnandhra college of engineering and technology 534275 India Telangana Hyderabad India Department of Management Studies AP India Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology India University of Bahrain College of Business Administration Dept. of Management & Marketing Bahrain Department of Computer Science India

ISBN: (纸本)9798350367171

Credit card fraud poses a serious threat to financial institutions and their customers;hence, stringent detection protocols are necessary. this study introduces an approach known as Enhanced Learning for Credit Card Fraud Detection (ELCCFD) to enhance the accuracy of credit card fraud detection. To improve the fraud detection process, the proposed method combines the strengths of Convolutional Neural Networks (CNNs), AlexNet architecture, and Gradient Boosting Machines (GBM). the proposed approach begins with cleaning up the credit card data to get useful features, then trains a Convolutional Neural Network (CNN) using AlexNet to figure out complex patterns and representations on its own. this study generates a complete set of features by merging the CNN's output with features generated using GBM. the final model is trained by using a combination of deep learning and other conventional machine learning techniques to achieve the best results. Experimental findings on benchmark datasets demonstrate the effectiveness of the ELCCFD methodology, achieving an accuracy rate of 98%. this study combines AlexNet with GBM to get a model to capture the complex patterns and is easier to understand with the feature importance analysis. With its strong accuracy and reliability, the proposed methodology offers a strong option to fight credit card fraud, and it shows the potential for actual use in financial systems. © 2024 IEEE.

关键词： Convolutional neural networks

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Research on Fast Adaptive Transmission Models for international Inland Port Based on Edge Intelligence 10

Research on Fast Adaptive Transmission Models for Internatio...

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10th IEEE international conference on Cyber Security and Cloud Computing and 9th IEEE international conference on Edge Computing and Scalable Cloud, CSCloud-EdgeCom 2023

作者： Yiwen, Liu Zhirong, Zhu Tangyan Wenkan, Wen Xiaoning, Peng Yuanquan, Shi Huaihua University School of Computer and Artificial Intelligence Huaihua Hunan418000 China Application in Hunan Province Universities Key Laboratory of Wuling-Mountain Health Big Data Intelligent Processing Huaihua Hunan418000 China Key Laboratory of Intelligent Control Technology for Wuling-Mountain Ecological Agriculture in Hunan Province Huaihua Hunan418000 China

ISBN: (纸本)9798350312461

In this paper, we propose a logistics international Inland Port resource allocation method based on intelligent edge scheduling, and we do a reasonable pre-allocation of logistics resources by building an edge network in the urban system. By using multiple integrated learning models and regional prevalence classification algorithms, the distribution demand of each sub-distribution point is predicted. the proposed method is able to cope with uncertainties such as high distribution volume, variable distribution situations or long transportation distances. We use the HuaiHua international Inland Port as the simulation object, and the simulation results show that the proposed method has the highest efficiency in logistics distribution and is still highly adaptive in emergency situations. © 2023 IEEE.

关键词： Resource allocation

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Applying 3D Human Hand Pose Estimation to Teleoperation 5

Applying 3D Human Hand Pose Estimation to Teleoperation

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5th international conference on Robotics and Computer Vision, ICRCV 2023

作者： Li, Rui Lu, Haopeng Ma, Siwei Cui, Chen National Engineering Research Center of Visual Technology School of Computer Science Peking University Beijing100871 China Cooperative Medianet Innovation Center Shanghai Jiaotong University Shanghai China

ISBN: (纸本)9798350326369

3D human hand pose estimation from visual data has received an increasing amount of attention, and the availability of low-cost depth cameras gives a great impetus to the development of this field. Nearly all recent hand pose estimation methods are oriented towards unified evaluation criteria defined by popular public benchmark datasets: the ultimate goal is to reduce the estimation error. However, the fact is that there exists a gap between human hand pose estimation and its applications. It is unclear how to recover global and local degrees of freedom from a set of structural hand joints, which is a necessary condition to apply human hand pose estimation to teleoperation, i.e., mapping estimated human hand poses at the master side to robotic hand poses at the slave side. Conventional teleoperation systems are implemented with the aid of a data glove or essentially built on gesture recognition. these solutions are inferior to vision-based hand pose estimation in offering an easy-to-use and natural human-robot interaction interface. In this paper, we propose three methods to teleoperate robotic hands by 3D vision-based human hand pose estimation. the feasibility of the three methods is tested in a simulated environment. © 2023 IEEE.

关键词： Remote control

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5th international conference on Artificial Intelligence in China, AIC 2023

5th International Conference on Artificial Intelligence in C...

引用

5th international conference on Artificial Intelligence in China, AIC 2023

ISBN: (纸本)9789819975440

the proceedings contain 64 papers. the special focus in this conference is on Artificial Intelligence in China. the topics include: Research Review on Application of Genetic Algorithms for Multi-Objective Optimal Management of Building Construction;agsNet: An Attention-Guided Lightweight Segmentation Network;A TDOA-Based Optimization Method for Staircase Area Positioning;design and Implementation of Intelligent Classified Garbage Bin;knowledge-Enhanced Recommendation System Design for Mechatronics IoT Cloud Platform;aspect-Level Sentiment Analysis by Fusing Local Information with Graph Attention Networks;image Segmentation Algorithm Based on Improved U-Net for Mineral Froth Flotation Process;automatic Summarization Research for Long Texts Targeting think Tanks;research on Semantic Segmentation Algorithm for Autonomous Driving Based on Improved DeepLabv3+;joint Security Protection and Transmission Delay Scheduling Scheme of Voice Switching Network;subway Tunnel Segment Disease Detection System Based on Machine Vision technology;device-Free Cross-Environment Human Action Recognition Using Wi-Fi Signals;the Performance Analysis of Double Intelligent Reflecting Surface-Assisted Cognitive Radio Network;a Novel Point Cloud Completion Method Based on Height Map and Dual-Mask Images;deep Learning for Skin Lesion Segmentation: A Review and Outlook;research on Revenue Prediction of Automobile Manufacturing Enterprises;Coal Mine Risk Classification Prediction Model Based on BERT;research on Construction and Application of Knowledge Graph for Coal Mine Safety Production Specifications;A TMFV-Based Adaptive E-Learning System for Generating and Allocating Questions;MedFPNet: A Medical Image Segmentation Network Based on Fourier Transform;image Classification Algorithm Based on Improved Soft thresholding and Residual Network;graph Similarity Based on Optimal Transmission for Optimal Deployment of Intelligent Wireless Sensor Networks.

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Development of Fuzzy Logic System for Directional Beamforming in Underwater Communication 5th

Development of Fuzzy Logic System for Directional Beamformin...

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5th international conference on data Science, Machine Learning and Applications, ICDSMLA 2023

作者： Krishnamoorthy, Ramkumar Agrawal, Jaishree Kaipa, Sandhya Agarwal, Trapty Karnataka Bangalore India Department of Computer Science & Engineering School of Engineering and Computing Dev Bhoomi Uttarakhand University Navgaon Manduwala Dehradun India School of Computer Science and Engineering Presidency University Karnataka Bengaluru India Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh Lucknow India

ISBN: (纸本)9789819780426

this paper describes the development of an advanced fuzzy logic system for directional beamforming in underwater communication systems. the fuzzy logic system utilizes a combination of fuzzy and proportional integral derivative controllers, state machines, and signal processing algorithms to create directional beamforming beams that align with the environment. the fuzzy logic system is able to detect changes in the environment, such as changes in water current, and adjust the beamforming beams accordingly. the fuzzy logic system is also optimized to adjust the beamforming beams dynamically. Experiments were carried out to evaluate the performance of the fuzzy logic system in terms of directionality, communication range, and robustness in changing environments. the results showed that the fuzzy logic system provided the best performance compared to all the other systems tested. this system provides an effective solution for directional beamforming in underwater communication systems. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Beamforming

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Achieving efficient and secure keyword attribute community search on cloud servers 5

Achieving efficient and secure keyword attribute community s...

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5th international conference on Computer Communication and Network Security, CCNS 2024

作者： Zhong, Ziyang Chang, Pan Cai, Min Software Engineering Institute East China Normal University Shanghai200062 China Shanghai New York University Working Group East China Normal University Shanghai200062 China

ISBN: (纸本)9781510681842

Community search is a technique used to identify and retrieve groups of nodes with specific attributes or associations by analyzing the connections between nodes in a network or graph structure. Existing researches mainly focus on single secure search requirements, making it difficult to support complex graph searches. therefore, this paper proposes a secure search scheme that simultaneously satisfies k-core and keyword attribute similarity requirements. Specifically, to enhance search efficiency, we utilize an improved core decomposition tree to index community graph containing keyword attributes. Additionally, based on the triangle inequality, we design an efficient pruning strategy. To enhance security, Paillier homomorphic encryption and matrix encryption are adopted, presenting a secure and efficient attribute community search scheme that protects the privacy of outsourced data, query requests, and query results. Security analysis and performance evaluation demonstrate that our proposed solution is both secure and efficient. © 2024 SPIE.

关键词： Matrices Computer security Clouds data privacy Network security Social networks

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Decoding the Self-organizing Dynamics of Informal Street Vending in Guangzhou 5

Decoding the Self-organizing Dynamics of Informal Street Ven...

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2024 5th international conference on big data Economy and Information Management, BDEIM 2024

作者： Ling, Michelle Xiaohong South China University of Technology Guangdong Guangzhou China

ISBN: (纸本)9798400711862

While informal street vending plays an important role in the economic development of cities, it has also caused some environmental problems, such as illegal occupation of public spaces, blocking traffic and affecting citizens’ travel. therefore, understanding the distribution pattern and the operating rules of street vendors can provide insights into urban spatial planning and management. this study then selected three informal vending areas in Guangzhou, including Xanthi Market (suburban area), Jinhua Straight Street (old city center) and Sha Chong (old city fringe) for further research purpose. By using space syntax analysis integrated with POI data and field observations, this study analyses the business strategies of street vendors and the configurational and visual characteristics of the streets they prefer to locate in. Based on these analyses, the study aims to identify the self-organizing characteristics of informal vending and its interaction with surrounding land uses and facilities. the results show that, at the micro level, street vendors tend to cluster in areas with high visual permeability, while at the meso level they prefer locations with better physical accessibility and high pedestrian flows, reflecting the interplay between accessibility, visibility and safety. In addition, their business shows a remarkable adaptability to the surrounding urban contexts by offering flexible working hours, daily nature of goods, mobility and price advantages. It is therefore necessary to personalize management strategies based on vendor profiles and spatial dynamics in order to reduce conflicts and ensure that informal vending continues to complement rather than disrupt the urban economy. © 2024 Copyright held by the owner/author(s).

关键词： Business strategies Guangzhou Informal street vending Self-organizing characteristics

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Successful early warning of a mid-sized landslide in Gansu Province, northwest China 5

Successful early warning of a mid-sized landslide in Gansu P...

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5th international conference on Geoscience and Remote Sensing Mapping, ICGRSM 2023

作者： Hou, Shengshan Chen, Liang Feng, Zhen Liu, Mingxue Li, Ang Wang, Lichao Cao, Peng Liu, Junyou Beijing100081 China Observation and Research Station of Geological Hazard in Sichuan Yaan Ministry of Natural Resources Sichuan Ya'an625099 China Technology Innovation Center for Geohazard Monitoring and Risk Early Warning Ministry of Natural Resources Beijing100081 China Tianjin Geological Engineering Survey and Design Institute Co. Ltd Tianjin300191 China North China Engineering Investigation Institute Co. Ltd. Hebei Shijiazhuang050021 China

ISBN: (纸本)9781510672789

Geohazard is a serious problem in Minxian County of Gansu Province, northwest China. A mid-sized landslide was selected for universal monitoring construction. Crack-meter, GNSS monitoring, soil moisture monitoring, real-time rain-gauge and alarm apparatus were used in the landslide monitoring network. Power supply of landslide monitoring instruments is from Li-ion battery and solar panels, providing sufficient power for 24h-per-day working. data transmission of real-time data is based on near field communication and 2/3/4G mobile communication, with increasing reliability and cost reduction. Monitoring data were transmitted to national platform and provincial platform simultaneously, providing real-time data for both platforms. the monitoring data were analyzed automatically, using multi-module for landslide prediction and warning. When abnormal data were discriminated, SMS messages were delivered automatically to designated personnels for further processing. Based on the monitoring network and intelligent data platform, the landslide was under the inspection of instruments. On Sept. 16, 2021, the active trend was identified before the main sliding. Yellow, orange, and red alerts were sent to the professional staff, government officers and residents in the threat zone. People under risk were evacuated before sliding. through the implementation of landslide universal monitoring projects, on the one hand, real-time monitoring of landslide deformation and environmental factors is realized, and a reference solution is provided for regions with similar problems. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Lithium-ion batteries

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