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检索条件"任意字段=Scientific Conference on Mechatronics Engineering and Computer Science"

共 38171 条记录，以下是831-840 订阅

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Research on Human-computer Interaction Following Motion Based on Kinect Somatosensory Sensor 6

Research on Human-Computer Interaction Following Motion Base...

引用

6th IEEE Information Technology and mechatronics engineering conference, ITOEC 2022

作者： Qiao, Caiying Shen, Bilong Zhang, Na Jia, Junliang Meng, Lei Mechanical and Electrical Engineering College Beijing Polytechnic Beijing China College of Joint Operation National Defense University Beijing China Beijing NAURA Microelectronics Equipment Co. Ltd. Beijing China

ISBN: (纸本)9781665431859

Based on the rapid development of somatosensory technology, now a human-computer interaction control method using somatosensory technology to control robots is proposed, which can control robots and other equipment through body motion. This paper analyzes and studies the machine vision principle of the somatosensory sensor Kinect. Based on the principle of human body recognition, it obtains real-time human body 3D modeling data, and realizes that the robot can follow the human body in real time. Instability, this article innovatively uses fuzzy logic control to establish a mathematical model of language analysis and obtains accurate control information following the motion through the calculation of the fuzzy controller to realize the trajectory control of the biomimetic robot and use MATLAB to verify the fuzzy control. The correctness of the device improves the robustness and stability of the entire system. © 2022 IEEE.

关键词： Fuzzy control

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An Offloading Strategy for Ocean Edge Computing Based on Game Theory

An Offloading Strategy for Ocean Edge Computing Based on Gam...

引用

2023 International conference on Electrical, computer, Communications and mechatronics engineering, ICECCME 2023

作者： Lin, Shan Yuan, Yu Wei, Yan Yang, Shaojian Liu, Jianzhang Yuan, Yufan Tu, Xingbin Qu, Fengzhong Zhejiang University Key Laboratory of Ocean Observation-Imaging Testbed of Zhejiang Province Zhoushan China Ministry of Education The Engineering Research Center of Oceanic Sensing Technology and Equipment Zhoushan China Hainan Institute of Zhejiang University Sanya China

ISBN: (纸本)9798350322972

Mobile edge computing has an excellent performance in reducing delay and improving system reliability. Nevertheless, relatively few studies have been conducted concerning ocean edge computing. Due to the limited communication and computing power in the ocean environment, an improper offloading policy easily leads to wastage of resources. To address this problem, we propose a master-slave mobile edge computing (MEC) server offloading strategy for ocean edge computing based on game theory. The game theory algorithm has low complexity and good effect, which is suitable for the relatively small decision-making model scenario in this paper. A system model for the offloading strategy in ocean edge computing is established, considering the communication interruption problem of the Ocean Internet of Things caused by the current scarcity of computing power resources in the ocean. According to the game theory, we solve the offloading strategy between the autonomous underwater vehicle (AUV) and the primary MEC server. And the optimization performance index is based on minimizing delay and energy loss. The simulation results verify the effectiveness of the algorithm, and demonstrate the superior performance of the offloading strategy based on game theory compared with other mainstream methods. © 2023 IEEE.

关键词： computer games

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Mathematical Formulas-Based scientific Literature Retrieval with Heterogeneous Network Semantic Enhancement 25th

Mathematical Formulas-Based Scientific Literature Retrieval ...

引用

25th International conference on Web Information Systems engineering, WISE 2024

作者： He, Xin School of Cyber Security and Computer Hebei University Baoding071002 China Institute of Intelligent Image and Document Information Processing Hebei University Baoding071002 China Hebei Machine Vision Engineering Research Center Hebei University Baoding071002 China

ISBN: (纸本)9789819605781

As the critical elements of scientific literature, mathematical formulas contribute significantly to the effectiveness of literature retrieval. Existing formula-based retrieval methods of scientific literature primarily focus on the number of matching symbols between formulas and often neglect the semantic relevance which leads to suboptimal retrieval outcomes. Additionally, existing literature retrieval methods frequently ignore the ontological relationships between literature, resulting in potential semantic information loss. To address these challenges, we propose a two-stage scientific literature retrieval model named SC-HNE (Symbol Contribution-Heterogeneous Network Enhancement). First, we introduce a Symbol Contribution Aware (SCA) module that calculates the contribution of each symbol based on its hierarchical position in the Operator Tree (OPT), and the symbols with the higher contributions will be paid more attention during the process of formula matching. Second, a heterogeneous network for scientific literature is constructed which uses Heterformer to enrich literature node embeddings with network-aware information and enhance literature representation. Finally, the similarity scores from two modules are combined to rank the top-K scientific literature. Experiments on the DBLP-Citation-network dataset demonstrated the effectiveness of the proposed method through MAP and NDCG metrics. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Trees (mathematics)

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scientific measurement analysis of supply chain risk management 24

Scientific measurement analysis of supply chain risk managem...

引用

5th International conference on Artificial Intelligence and computer engineering, ICAICE 2024

作者： Pan, Yu-Chun Chen, Ruiyan Graduate Institute of Finance National Taiwan University of Science and Technology Taipei Taiwan Nanfang College Guangzhou Guangdong Guangzhou China

ISBN: (纸本)9798400718007

The production, manufacturing, logistics transportation, and user service of enterprises all rely on complex supply chain system support. Therefore, supply chain risk management is crucial for the sustained operation and success of enterprises, as it directly affects whether the enterprise can effectively manage costs and ensure the quality of products or services. By establishing a sound risk management system, enterprises can maintain a competitive advantage in a constantly changing market environment. This article used scientometric analysis to search 668 relevant documents in the Web of science (WoS) database. Using bibliometric tools to establish correlations and visualize relevant literature, in order to present research trends and hotspots in supply chain risk management. Its purpose is to provide theoretical guidance for researchers, business decision-makers, and other stakeholders in this field, and to promote academic research and discussion. © 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Competition

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Research on Design of Advanced Marine scientific Survey Vessel Based on computer Data engineering and Intelligent Information System 3

Research on Design of Advanced Marine Scientific Survey Vess...

引用

3rd IEEE International conference on Power, Electronics and computer Applications, ICPECA 2023

作者： Wang, Ning Hou, Xiaojun Ma, Liang Zhang, Haoran Zhang, Zhiqiang Yellow Sea Fisheries Research Institute Qingdao266071 China China Ship Scientific Research Center Qingdao214082 China

ISBN: (纸本)9781665472784

This paper studies the integrated fishery environmental scientific survey vessel system, which has the topology and data flow model of the scientific survey vessel information system with the time series database. The performance testing technology of big computer data in scientific survey ship information topology system has established a comprehensive fishery scientific survey system in ocean waters. The scientific research ship information topology system can meet the requirements of the information management algorithm for scientific research ship operation. In this paper, the topological structure of the information system is used to build the data flow model of the scientific research ship. series database. This paper designs a set of ship systems suitable for research and found that the system can meet the needs of comprehensive investigation and research tasks of fishery science in distant waters. The system provides computer platform support for fishery resource protection, environmental restoration, responsible exploration and fishing, and satellite remote sensing applications. © 2023 IEEE.

关键词： Topology

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Visual SLAM with a Multi-Modal Semantic Framework for the Visually Impaired Navigation-Aided Device 8

Visual SLAM with a Multi-Modal Semantic Framework for the Vi...

引用

8th IEEE International conference on Advanced Robotics and mechatronics, ICARM 2023

作者： Li, Shaohu Gu, Jason Feng, Ying Institute of Advanced Technology University of Science and Technology of China Hefei230031 China Dalhousie University Department of Electrical and Computer Engineering HalifaxNS Canada College of Automation Science and Engineering South China University of Technology Guangzhou510641 China

ISBN: (纸本)9798350300178

Visual Simultaneous Localization and Mapping (VSLAM) based on image feature points often contains feature points on non-stationary objects in dynamic scenes, resulting in poor localization performance. Recent research has improved VSLAM performance by removing dynamic feature points utilizing optical flow, deep learning, or multi-view geometry, however, the volume of data makes real-time operation challenging. In this study, we propose a multimodal framework for semantic VSLAM. To eliminate dynamic feature points, the system effectively blends object detection, instance segmentation, and geometry modules. To ensure high-precision pose estimation and quick back-end optimization, we exclusively use object detection in the front-end of VSLAM to mask dynamic feature points. In the keyframes of the local map, semantic segmentation is utilized to remove dynamic feature points, and an effective geometric module is employed to assess the dynamic consistency of objects that are challenging to categorize. Therefore, more feature points are retained, and the running speed is also ensured. Evaluations of the system on public datasets and in the real world show that it improves the accuracy and stability of VSLAM in dynamic environments. © 2023 IEEE.

关键词： Object detection

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Cardiac Disease Detection Using Machine Learning Algorithms: A Review 2

Cardiac Disease Detection Using Machine Learning Algorithms:...

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2nd International conference on Advancements in Smart, Secure and Intelligent Computing, ASSIC 2024

作者： Sahoo, Soumya Bisoy, Sukant Kishoro Mallick, Pradeep Kumar C.V Raman Global University Dept of Computer Science and Engineering Bhubaneswar India Kiit University Dept of Computer Engineering Bhubaneswar India

ISBN: (纸本)9798350370188

Health problems are currently spreading progressively. Particularly prevalent today are cardiovascular disorders. Mortality nowadays is primarily caused by cardiovascular disease in emerging nations. The death rate can be reduced by early detection of cardiovascular infections and ongoing care for doctors. However, because it takes more effort and skill, it is impossible to assess patients consistently and accurately in every situation. The amount of information available in the healthcare fields is enormous. The information that has been stored can be a useful resource for predicting potential future illnesses. There are very few effective tools available to extract information from data sets for scientific disease discovery or other purposes. The numerous patient heart properties may be used with a number of informational mining and machine learning approaches to excerpt crucial data obtained from the set of data. In addition to constructing scientific objectives by utilizing data mining and machine learning approaches. Aim of this work is to summarize current studies on cardiac sickness expectations and related results. © 2024 IEEE.

关键词： Diseases

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Modeling of Energy Flows in Microgrids 31

Modeling of Energy Flows in Microgrids

引用

2023 31st National conference with International Participation, TELECOM 2023

作者： Stanchev, Plamen Vacheva, Gergana Hinov, Nikolay Klimenta, Dardan Technical University of Sofia Faculty of Computer Systems and Technologies Departement of Information Techonology in Industry Sofia Bulgaria Technical University of Sofia Faculty of Electronic Engineering and Technologies Departement of Power Electronics Sofia Bulgaria University of Priština in Kosovska Chair of Power Engineering Faculty of Technical Science Kosovska Mitrovica Mitrovica Serbia

ISBN: (纸本)9798350303292

In this article, a microgrid model with the possibility of adding renewable energy sources is considered. The considered grid is radial and in it the dues of the lines between the individual nodes have been added and the values of the loads have been set. According to a certain methodology, the necessary cross-sections and type of wires are calculated and designed. Different energy sources and energy storage elements can be easily connected to the implemented scheme. For this reason, it is suitable for study by students and doctoral students for a better presentation of the basic principles in the distribution of energy flows in low voltage grids. © 2023 IEEE.

关键词： Renewable energy

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Cyber Security and Digital Forensics -Challenges in Current Scenario 15

Cyber Security and Digital Forensics -Challenges in Current ...

引用

15th International conference on Advances in Computing, Control, and Telecommunication Technologies, ACT 2024

作者： Shirbhate, Dhiraj D. Gupta, Sunil R. Government College of Engineering Computer Engineering Yavatmal India PRMITR Computer Science & Engineering Badnera Amravati India

ISBN: (纸本)9798331300579

Those who are not in computer science background, the preparation of the tutorial of cyber security can be more complex and difficult to *** paper generates a degree level virtualforensics and security course in a computer engineering department which presents synopsis, policies and application for a different departmental student *** the larger numbers of students in the section don't have background of computer science, then the application for integrated student listeners can be *** course led to provide a comprehensive perspective to widen knowledge and deep learning of network security by utilizing multidisciplinary groups to get knowledge and experience taking theory to practice and *** science gives conceptual support and technological tools and approach to verify security *** techniques and principles to critical analysis are provided by Forensic *** also collect data and analyzes the data which is digital *** course involves learners from multidisciplinary educational backgrounds promotes cooperation between computer science and forensic *** this student gets familiar with the all views of *** abstract concludes that producing students which are well-equipped to plot the route for complex and emerging field of cyber *** research also explores emerging technologies and trends that are reshaping the cyber security landscape, including the role of artificial intelligence and machine learning in threat detection, the rise of quantum-resistant cryptography, and the implications on digital *** review paper critically examines the current landscape of cyber security measures with a focus on strategies employed to counteract evolving digital *** technology continues to advance, so do the complexities of cyber threats, necessitating a thorough analysis of existing cyber security paradigms. © Grenze scientific Society, 2024.

关键词： Cyber attacks

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Research on Overseas Warehouse Inventory Control Based on Gray Prediction 7

Research on Overseas Warehouse Inventory Control Based on Gr...

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7th International conference on computer Information science and Application Technology, CISAT 2024

作者： Zhang, Shuntang Wen, Wei Zhang, Xiaowen Xu, Jiayu Shandong Technology and Business University School of Management Science and Engineering Yantai China

ISBN: (纸本)9798350375107

Inventory control is a critical aspect of operating an e-commerce offshore warehouse model. With the growing instability of customer demand and the significant increase in the number of product returns, companies are faced with the increasingly complex and pressing challenge of determining inventory levels. In this uncertain environment, how to accurately forecast customer demand and flexibly adjust inventory levels has become a key issue for companies. In this paper, we firstly use the gray forecasting method to predict the customer demand and get the commodity demand distribution function. Then, the classic newsboy model is improved, and the inventory cost model is constructed to minimize the expected cost by considering the influence of the return factor. Finally, the empirical analysis verifies the influence of return rate and unit return cost on the optimal order quantity, so as to help enterprises develop more scientific and reasonable inventory control strategies. © 2024 IEEE.

关键词： Marketplaces

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