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检索条件"任意字段=7th International Conference on the Art, Science, and Engineering of Programming, Programming 2023"

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Revolutionizing the Driving Experience : Enhancing Safety and Comfort Using ADAS 7

Revolutionizing the Driving Experience : Enhancing Safety an...

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2023 7th international conference On Computing, Communication, Control And Automation, ICCUBEA 2023

作者： Kelkar, Aditya Jondhale, Digvijay Borade, Rugved Juneja, Ishan Haran, Yuvraj Pawar, Rajendra G. School of Computer Engineering & Technology Mit World Peace University Maharashtra Pune India Mit School of Computing Mit Art Design and Technology University Department of Computer Science Engineering Pune India

ISBN: (纸本)9798350304268

Advanced Driver Assistance Systems, or ADAS for short, are a group of technologies intended to help drivers operate their automobiles more safely and effectively. these systems often employ sensors, cameras, and other gadgets to keep an eye on the surroundings of the car and give the driver alerts or help in a multitude of circumstances, like lane departure, accident avoidance, and parking. Modern vehicles are increasingly utilizing ADAS technologies, which are regarded as an important first step towards completely autonomous vehicles. © 2023 IEEE.

关键词： ADAS Haar Cascade Object-detection RaspberryPi YOLO

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A Two-Stage Task Offloading Algorithm for Cloud-Edge Collaborative Computing 7

A Two-Stage Task Offloading Algorithm for Cloud-Edge Collabo...

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7th IEEE international conference on Smart Internet of things, SmartIoT 2023

作者： Di, Hengye Liu, Chuang He, Jie Qi, Yue School of Computer and Communication Engineering University of Science and Technology Beijing Beijing100083 China Shunde Innovation School University of Science and Technology Guangdong Beijing528399 China Liaoning Academy of Materials Liaoning Shenyang110000 China

ISBN: (纸本)9798350316575

Cloud-edge collaborative computing has become an emerging computing paradigm due to its ability in fully utilizing the computing power for cloud and edge servers. However, in the process of task offloading, it is faced with the problem of long solution time due to high computational complexity and large scale of solving multi-objective optimization problems, which result in excessive cost of time and energy of the local devices. To solve this problem, we design an algorithm with a two-stage task offloading strategy. To be specific, we divide the overall task offloading into two stages. the first stage is to make the decision of allocating each task module to the suitable computational platform by considering each task respectively as a mixed integer linear programming (MILP) problem and solving it by branch and bound algorithm. the second stage is to allocate the selected task nodes at the edge platform reasonably by turning the allocation problem into a knapsack problem, which can be solved by dynamic programming algorithm. In this way, we can not only narrow the problem scale by dividing one large overall constraint model into several smaller ones, but also reduce the computational complexity. Performance evaluation shows that compared with the similar algorithm, our algorithm is optimized by more than 50% in terms of task waiting time and by more than 5% in terms of the optimization effect. © 2023 IEEE.

关键词： Integer programming

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Research on visualization of minority music knowledge graph based on Neo4j 24

Research on visualization of minority music knowledge graph ...

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7th international conference on Information science and Systems, ICISS 2024

作者： Mao, ChunXia Wen, ShuangBing Liu, Hong Hu, Tao Li, Jun College of Intelligent Systems Science and Engineering Hubei Minzu University China Hubei Engineering Research Center of Selenium Food Nutrition and Health Intelligent Technology Hubei Minzu University China School of Music and Dance Hubei Minzu University China The Key Laboratory of Performing Art Equipment and System Technology Ministry of Culture and Tourism Hubei Minzu University China

ISBN: (纸本)9798400717567

the digital age has created various channels for the sustainable development of traditional culture. A Neo4j-based knowledge graph for Tujia Intangible cultural heritage music was constructed to address the potential loss of Tujia Intangible cultural heritage music. the project involved integrating and consolidating Tujia Intangible cultural heritage music resources, organizing and cleaning the collected data, storing it in a Neo4j graph database, designing a knowledge base ontology model, and completing the construction of the Tujia Intangible cultural heritage music knowledge graph. the knowledge graph makes the knowledge of music and cultural heritage explicit from vast information resources, effectively expanding its dissemination breadth and promoting the protection and inheritance of intangible cultural heritage music in ethnic areas. © 2024 Copyright held by the owner/author(s).

关键词： Knowledge graph

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Energy management optimization control with the consideration of the driving style for connected hybrid electric vehicles in mixed driving scenarios 7

Energy management optimization control with the consideratio...

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7th CAA international conference on Vehicular Control and Intelligence, CVCI 2023

作者： Tang, Wenbin He, Jingjing Wang, Zhong Jiao, Xiaohong School of Electrical Engineering Yanshan University Qinhuangdao China School of Vehicle and Energy Yanshan University Qinhuangdao China

ISBN: (纸本)9798350340488

Considering the complexity and variability of the actual traffic environment, aiming at the influence of driving styles on the optimal control of hybrid electric vehicles (HEVs) energy management, this paper proposes a speed planning and energy management strategy (EMS) considering driving style recognition in mixed driving scenarios under the framework of model predictive control (MPC). the proposed strategy uses principal component analysis (PCA) to reduce the dimension of the characteristic parameters and fuzzy C-means (FCM) methods to cluster driving styles. Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) are used to obtain information on the preceding vehicle and traffic lights to classify the hybrid driving scenario. In the different scenarios, the objective function considering traffic safety is constructed to plan the host vehicle's speed based on the speed prediction of the preceding vehicle. A sequential quadratic programming optimization algorithm (SQP) distributes engine and motor power. Simulation results show that the proposed EMS can achieve good fuel economy under the premise of driving safety. © 2023 IEEE.

关键词： driving style (DS) energy management strategy (EMS) hybrid electric vehicles (HEVs) model predictive control (MPC) speed planning

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Significance of State-of-art Search Engine in Game Development 10

Significance of State-of-Art Search Engine in Game Developme...

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17th INDIACom;2023 10th international conference on Computing for Sustainable Global Development, INDIACom 2023

作者： Dewan, Ritu Polishetty, Rohith Jagadam, Naveen Goyal, Mayank Kumar Ravulakollu, Kiran Kumar Sharan, Bhagwati Galgotias College of Engineering and Technology Department of Computer Science and Engineering Greater Noida India Sr. Software Engineer Migo India Limited Hyderabad India Ceo N2force Technologies Inc. NapervilleIL60563 United States School of Engineering and Technology Sharda University Department of Computer Science and Engineering Greater Noida India School of Technology Woxsen University Hyderabad India School of Engineering and Sciences Srm University Department of Computer Science and Engineering AP Amaravati India

ISBN: (纸本)9789380544472

Video game development process is different from other software projects while yet being related to them in software engineering. It is distinctive in that it incorporates the work of teams from several fields (art, music, acting, programming, etc.), and that it seeks to create a compelling gaming experience by using prototypes and iterations. this research study focuses on game development and how it is accomplished utilizing a game engine. the process of creating/developing games from a concept is known as game development. Game engines are software programs that help game developers create games. the literature study discusses about the various game engine. the utility of the 'Unity' gaming engine is investigated in this paper. Unity may be utilized in different fields as study subjects, but there can be certain frequent benefits & obstacles of utilizing it in different case studies. Students learn which game engine to use based on their specific requirements. © 2023 Bharati Vidyapeeth, New Delhi.

关键词： Search engines

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A Precision-Compensated Linear Power Flow Model Based on Mapping Voltage Magnitudes from Logarithmic Space to Squared Space 7

A Precision-Compensated Linear Power Flow Model Based on Map...

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7th international conference on Power and Energy Applications, ICPEA 2024

作者： Lai, Haipeng Li, Zhigang Zhang, Jiahui Bai, Xiang Li, Huajian Liang, Hongyuan Zheng, J.H. School of Electric Power Engineering South China University of Technology Guangzhou China School of Science and Engineering The Chinese University of Hong Kong Shenzhen Shenzhen China Shanxi Energy Internet Research Institute Taiyuan China

ISBN: (纸本)9798350356113

Linear power flow is widely applied in various areas of power systems. the DC power flow model is a classical linear power flow model, but its main limitation is the inability to account for voltage magnitude. Other classical models that consider voltage magnitude are typically linearized in the original voltage magnitude space, leading to a computational accuracy bottleneck. To address this issue, this study first proposes an improved linear power flow model. the model remaps the voltage magnitude from logarithmic space to square space, preserving the nonlinear characteristics of the original current equation and compensating for the voltage phase angle. this approach overcomes the accuracy bottleneck of classical models. then, through matrix partitioning and transformation, the model achieves complete decoupling of the voltage magnitude and phase angle, avoiding nonconvex quadratic programming problems in optimization and enhancing computational efficiency. Finally, the accuracy and speed of the proposed model are validated through simulations across multiple test systems. © 2024 IEEE.

关键词： Load flow control

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Optimization of ship command and dispatch in the waters between the three gorges dams based on GP algorithm 7

Optimization of ship command and dispatch in the waters betw...

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7th IEEE international conference on Transportation Information and Safety, ICTIS 2023

作者： Liu, Qing Tang, Zhuofeng Cong, Zhe Wang, Lei Wuhan University of Technology School of Transportation and Logistics Engineering Wuhan China Guangdong Inland Waterway Port and Maritime Industry Research Co Wuhan China

ISBN: (纸本)9798350308532

At present, the backlog of ships passing through the three Gorges has become the norm, and the difference between the passing capacity of the three Gorges-Gezhouba locks and the passing capacity of the waters between the two dams has led to a reduction in the efficiency of ship navigation through the locks and an increase in the difficulty of control. In view of the above problems, this paper constructs an optimization model for the control and command of formation ship groups under the existing ship navigation rules, taking into account the safety distance to be maintained between ship groups, the continuity of navigation and other realistic constraints, with the objective of minimizing the imbalance between navigation time and delay time. Based on the characteristics that the ship navigation process is similar to the processing operation in the production plant, a heuristic scheduling rule set and Genetic programming (GP) algorithm are established for the solution. the research results show that the method of determining the navigation order of vessel groups by generating composite dispatching rules (CDR) with GP algorithm can reduce the navigation time of vessels crossing the gate in the waters between two dams and effectively improve the fairness of scheduling, while meeting the requirements of vessel navigation rules and safety. © 2023 IEEE.

关键词： Navigation

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Research on Mining Association Rules for Classroom Concentration Based on Apriori Algorithm 7

Research on Mining Association Rules for Classroom Concentra...

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7th IEEE Information Technology and Mechatronics engineering conference, ITOEC 2023

作者： Bai, Jingqiu Kong, Huafeng Hu, Wenhan Wuhan Business University Department of Information Engineering Hubei China Major in Data Science and Big Data Technology China The Main Research Direction Is the Computer Application China

ISBN: (纸本)9798350334197

this paper studies the correlation between students' concentration in class and learning interest, emotional state and other influencing factors. By collecting students' classroom status data, a data set suitable for data mining is constructed. Based on the idea of Apriori algorithm, the Anaconda Navigator programming tool is used to mine the association rules of students' classroom concentration. through data mining based on Apriori algorithm, and the association rules between students' emotional state, learning interest and other factors and in-class test scores are output. the results of strong association rules show that the better students' emotional state, learning interest and other states are, the better their classroom concentration performance is. Mining the potential influencing factors of students' classroom concentration provides valuable reference theory for students to improve classroom concentration and teachers to improve classroom teaching effect, which is helpful for teachers and students to build a more efficient classroom together in the future. © 2023 IEEE.

关键词： Association rules

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Scheduling Optimization Method for Charging Piles in Electric Vehicle Charging Stations Based on Mixed Integer Linear programming 7

Scheduling Optimization Method for Charging Piles in Electri...

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7th IEEE conference on Energy Internet and Energy System Integration, EI2 2023

作者： Zhou, Junfeng Zhou, Yun Zhang, Kaiyu Liu, Shu Shi, Shanshan Li, Hengjie College of Electrical and Information Engineering Lanzhou University of Technology Lanzhou China Shanghai Jiao Tong University Dept. of Electrical Engineering Shanghai China Electric Power Research Institute State Grid Shanghai Municipal Shanghai China

ISBN: (纸本)9798350345094

For electric vehicles (EV s) choosing the same target charging station, appropriate guidance for them to choose the appropriate charging pile for charging will help reduce the charging waiting time of EV users and increase the utilization rate of charging piles. In this context, a scheduling optimization method for charging piles in EV charging stations is based on Mixed Integer Linear programming (MILP). Firstly, the arrival time and charging demand of EV s choosing the same target charging station during the same scheduling optimization period, time are collected;Secondly, a scheduling optimization method is constructed with the goal of minimizing the charging waiting time of EV users and maximizing the utilization rate of charging piles, in which the non-linear constraints are transformed into linear constraints by using the method of MILP;Finally, the validity and feasibility of the proposed scheduling optimization method are verified through practical examples to illustrate the basic features of the proposed method. the results of the analyses show that the proposed method can not only save the time cost of EV users waiting for charging, but also effectively take into account the utilization rate of charging piles. © 2023 IEEE.

关键词： Piles

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SOTA: Stochastic On-Time Arrival Path Prediction and Dynamic programming for Criticality Aware Mobile Healthcare System 17

SOTA: Stochastic On-Time Arrival Path Prediction and Dynamic...

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17th IEEE international conference on Advanced Networks and Telecommunications Systems, ANTS 2023

作者： Singh, Himanshu Singh, Moirangthem Biken Patel, Akash Pratap, Ajay Department of Computer Science and Engineering Varanasi India

ISBN: (纸本)9798350307672

In an emergency healthcare situation, the time delay between injury and treatment is crucial for patient survival. Real-time processing of ambulance data can significantly reduce diagnosis and pre-treatment delays, resulting in faster recovery. Moreover, to achieve timely treatment, reliable and efficient paths should be followed by ambulances to reach hospitals faster. To tackle these phenomena, we utilize Stochastic On-Time Arrival (SOTA) based reliable path prediction. However, accessing real-time patient data from ambulances moving along Road Side Units (RSUs) on a reliable path poses several research challenges. thus, this paper introduces an RSU allocation scheme founded on Dynamic programming (DP), which takes into account latency, migration, and energy consumption as the goal of minimizing average total cost. Evaluation and prototype results confirm our hypothesis, showing marked improvement as compared to other state-of-the-art techniques on real-world datasets. © 2023 IEEE.

关键词： Dynamic programming

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