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CUDA acceleration for solving three-dimension time-dependent parabolic partial differential equation 2

CUDA acceleration for solving three-dimension time-dependent...

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2nd international conference on Intelligent Computing and Human-Computer Interaction, ICHCI 2021

作者： Chi, Zimeng Guo, Xiaoyong School of Data Engineering Tianjin University of Finance and Economics Pearl River College Tianjin301811 China College of Electronic Information and Automation Tianjin University of Science and Technology Tianjin300457 China

ISBN: (纸本)9781665407649

In this paper, we propose a detailed description of programming the time-dependent three-dimensional (3D) parabolic partial differential equation on graphics processing units (GPU). To this end, we frame the problem as the progression stencil on a 3D surface. We adopt finite-different time-domain (FDTD) method to obtain the stencil corresponding to the partial differential equation, which is then programmed according to CUDA (compute unified device architecture) parallel programming model using GPU's shared memory. Experimental results show that comparing with the program that runs on a single CPU (central processing unit), the current GPU version can greatly reduce the run time so as to improve the performance, accelerate the computation speed, and enable the large-scale simulation. © 2021 IEEE.

关键词： Graphics processing unit

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2nd international Workshop on Modelling to Program, M2P 2020

2nd International Workshop on Modelling to Program, M2P 2020

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2nd international Workshop on Modelling to Program, M2P 2020

ISBN: (纸本)9783030726959

The proceedings contain 11 papers. The special focus in this conference is on Modelling to Program. The topics include: Models Versus Model Descriptions;modeling and Implementing of Industrie 4.0 Scenarios;Agile Generator-Based GUI Modeling for Information Systems;Formal Model Checking and Transformations of Models Represented in UML with Alloy;structurally Recursive Patterns in Data Modeling and Their Resolution;a Models-to-Program Information Systems engineering Method;Automating Implementation of Business Logic of Multi Subject-Domain IS on the Base of Machine Learning, Data programming and Ontology-Based Generation of Labeling Functions;preface;from Models_For_programming to Modelling_To_Program and Towards Models_As_A_Program.

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Exploring the Potential of Interplanetary File System for Secure and Transparent Social Media

Exploring the Potential of Interplanetary File System for Se...

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international conference on Vision Towards Emerging Trends in Communication and Networking (ViTECoN)

作者： Shivam Pandey Mayank Sinha Ramya. G Department of Computing Technologies SRM Institute of Science and Technology Kattankulathur Chennai India Department of Computing Technologies Faculty of Engineering and Technology SRM Institute of Science and Technology Kattankulathur Chennai India

A new social media platform will be developed that utilizes blockchain technology to ensure user privacy and security. The platform will use the user's meta-mask wallet ID, which cannot be hacked, to connect to their profile on the blockchain, providing an immutable and tamper-proof ledger for their data. The platform will also allow for cryptocurrency transactions, which are secured by cryptography and do not require a centralized intermediary, adding another layer of security. Smart contracts will be used to enable decentralized and automated crowd funding and giveaways, among other features. The smart contracts will be designed using Solidity, a programming language specific to the Ethereum blockchain. When a user creates an account on the platform, their meta-mask wallet ID will be used for user identification and to verify transactions, ensuring that every transaction is validated by the blockchain.

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Laying the Foundation with the Essential Quintessence of Chinese Culture: Exploring the Deep Integration and Realization of Specialized Connotations of IPE in Python Course 24

Laying the Foundation with the Essential Quintessence of Chi...

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Proceedings of the 2024 2nd international conference on Information Education and artificial Intelligence

作者： Zhipan Wu Bolian Fang Huaying Du Lunman Deng Yunhe Jiang School of Computer Science and engineering Huizhou University Huizhou Guangdong China School of Information Technology City College of Huizhou Huizhou Guangdong China

ISBN: (纸本)9798400711732

This paper discusses the integration of professional knowledge, traditional Chinese culture, and the integration of IPE in the course of Python programming, in order to enhance our cultural self-confidence, stimulate our academic interest, promote our overall development, and realize the goal of curriculum-based ideological education. We demonstrate the "1+1>2" effect of this integration by planning projects related to traditional culture. This approach enriches higher education and lays a solid foundation for cultivating talents with patriotism, social responsibility and innovative spirit. Chinese cultural elements are effectively integrated into teaching and learning through systematic curriculum design, integration of classroom and extracurricular activities, and well-established assessment mechanisms.

关键词： Excellent traditional Chinese culture

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Tilt-Rotating Calibration Method for MEMS Gyroscope Based on ALGRO Algorithm

Tilt-Rotating Calibration Method for MEMS Gyroscope Based on...

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Sensors, Electronics and Computer engineering (ICSECE), IEEE international conference on

作者： Zuo Lipeng Huangfu Bingbin Yang Liu Shen Shaofeng School of Mechanical Engineering Nanjing University of Science & Technology Nanjing China Office of the Military Representative in a Region Nanjing China

ISBN: (数字)9798350373646

ISBN: (纸本)9798350373653

Aiming at the problem that traditional gyroscopic calibration relies on expensive turntables, a tilt-rotating calibration method for MEMS gyroscope based on adaptive levy flight gold rush optimization algorithm (ALGRO) is proposed. The error model of the gyroscope is used to determine the objective function for calibration based on the tilt-rotating method, and an optimization algorithm is employed to derive the gyroscope error parameters. In order to enhance the algorithm's optimization capability, an adaptive levy flight strategy is introduced into the gold rush optimization algorithm (GRO). Experiments show that after compensation, the cumulative error of the rotation angle of the gyroscope is reduced by 96.3%, and the cumulative error of the rotation angle is reduced by 50.4% compared with that of the traditional gyroscope without rotary table calibration method. This method has high accuracy and can meet the needs of consumer-grade MEMS gyroscope calibration.

关键词： Micromechanical devices Gold Adaptation models Accuracy Costs Linear programming Calibration Gyroscopes Sensors Optimization

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A Study of Crew Allocation Based on a Novel Heuristic Algorithm and Simulated Annealing Algorithm

A Study of Crew Allocation Based on a Novel Heuristic Algori...

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Image Processing and Computer Applications (ICIPCA), IEEE international conference on

作者： Hong Wang Jun Xia Yuqin Song School of Management Science and Engineering Anhui University of Technology Ma'anshan China Anhui Jianghuai Automobile Group Co. Ltd. Hefei China

ISBN: (数字)9798350360240

ISBN: (纸本)9798350384161

This paper addresses the optimization of flight crew assignments by introducing a mathematical optimization model aimed at maximizing the allocation of flight crew to flights while minimizing overall occurrences and the use of substitute qualifications. The proposed approach involves route-based clustering, where flight routes are aggregated around hub airports to serve as the fundamental unit for matching flight crew. This transforms the problem of flight crew assignment into a route-based matching scenario. A mathematical programming model is established to minimize the number of unfulfilled crew assignments, flight occurrences, and substitute qualification usage, while also prioritizing these objectives. To enhance computational efficiency, a simulated annealing algorithm and a novel heuristic strategy are employed for solving. Results demonstrate the superiority of the new heuristic strategy over simulated annealing. Specifically, for dataset A, 202 flights were successfully scheduled with no crew occurrences or substitute qualification usage. For dataset B, 13235 flights were successfully arranged with zero crew occurrences or substitute qualification usage, and the program execution time was 0.32s.

关键词： Job shop scheduling Processor scheduling Heuristic algorithms Computational modeling Simulated annealing Computational efficiency Resource management Optimization Qualifications Mathematical programming

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Quotation Strategy of Combined-Cycle Gas Turbine Considering Flexibility and Start-Stop Peak Shaving 2

Quotation Strategy of Combined-Cycle Gas Turbine Considering...

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2nd international conference on Electrical engineering and Computer Technology, ICEECT 2022

作者： Liu, Runzhong Cai, Zhi Hu, Linxian School of Electrical Engineering and Automation Harbin Institute of Technology Heilongjiang150001 China China Electric Power Research Institute Beijing100089 China

This paper proposes a bilevel optimal scheduling model considering the flexibility and peak shaving benefits of gas-steam combined cycle units, which realizes "thermoelectric decoupling"and the flexibility of the unit by configuring electric boilers, and adds the benefit of peak shaving to the upper model to maximize the profit of the unit. Among them, the upper model is the unit optimal bidding model considering flexibility and peak shaving benefits, and the lower model is the power market-clearing model considering the maximization of social welfare. The bilayer model is transformed into a mixed-integer linear programming problem through KKT conditions and other solution methods. The effectiveness and rationality of the model are verified by the analysis of examples. The results of examples show that "thermoelectric decoupling"and start-stop peak shaving can effectively improve the profit of the gas-steam combined cycle unit and the wind power consumption capacity of the system. Finally, the strategic bidding behavior of gas-steam combined cycle units in different periods of the power market is explored. © Published under licence by IOP Publishing Ltd.

关键词： Profitability

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Research on Teaching Reform of AIGC Empowering C Language programming Course 24

Research on Teaching Reform of AIGC Empowering C Language Pr...

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Proceedings of the 2024 2nd international conference on Information Education and artificial Intelligence

作者： Nan Xie Weimin Chen College of Computer Science and Technology Zhejiang University of Water Resources and Electric Power Hangzhou Zhejiang China College of Mechanical and Electrical Engineering China Jiliang University Hangzhou Zhejiang China

ISBN: (纸本)9798400711732

The new idea development has become more and more broadly in the new generation of information technology education. And the computer related general education courses for non-computer majors in Chinese universities are constantly undergoing deeper teaching research and exploration, which including the courses’ curriculum design, teaching mode, teaching methods, teaching design, teaching system, etc., at the same time, the changes in educational reform policies for computer general education courses in universities are all following. The C Language programming course is a compulsory course of non-computer major general education courses in many undergraduate universities. Through studying, the course can not only cultivate students' computer thinking and innovative thinking, but also continuously improve their logical thinking ability and programming debugging practical skills and application skills. What's more, it can expand students’ multidimensional cognition and knowledge seeking ability in the world and help students fully understand the current new generation of information technology foundation, comprehensively master the key, difficult and programming skills of C language. AIGC empowering C course teaching mode has been proposed in response to several explicit issues in the current C programming course teaching, such as poor personalized learning experience, weak practical ability, and slow problem-solving yield. This teaching model builds studying framework based on the multi-source data fusion aims to promote personalized learning for students, deepen their understanding of relevant knowledge, and provide immediate problem feedback. In addition, the model can align the course teaching objects through much training to stimulate better students' learning motivation, improve their comprehensive quality, and cultivate outstanding talents. This paper would provide a new path and reference for the teaching and reform ideas of general education courses for appli

关键词： AI Empowering teaching reform

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The Role of artificial Intelligence (AI) in Creating Smart Energy Infrastructure for the Next Generation and Protection Climate Change 2nd

The Role of Artificial Intelligence (AI) in Creating Smart E...

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2nd international conference on Mechanical and Energy Technologies , ICMET 2021

作者： Kulkarni, Gopal Ramchandra Tamta, Manoj Kumar Kumar, Anil Nomani, M.Z.M. Singh, Charanjeet Pallathadka, Harikumar Merchant Engineering College Gujarat Basna Mahesana384380 India Department of Geography Govt. PG College Uttarakhand Bageshwar India Department of Botany DDU Gorakhpur University Gorakhpur Gorakhpur India Faculty of Law Aligarh Muslim University Aligarh India Electronics and Communication Department Deenbandhu Chhotu Ram University of Science and Technology Sonipat Murthal India Manipur International University Manipur Imphal India

ISBN: (纸本)9789811901072

The application of renewable energy in the world enables in creating of smart energy infrastructure which will help in protecting climate change and prevents the depletion of natural resources. artificial intelligence in implementing better guidelines for organizing the activities so as to respond to the changing requirements for the next generation. artificial Intelligence (AI) can enable in overcoming the challenges through adoption of energy-efficient buildings, support in increasing the energy savings, and protect the climate change effectively. The problem related to energy conservation in the building and creation of smart energy infrastructure for the next generation is a multidimensional aspect across countries. It can be stated that AI can enable in offering better solution to the problem through creating smart energy infrastructure which will create comfortable and productive living spaces, it is noted that the complexity of the grids is evolving due to increased energy usage and AI is one of the effective tools which will apply automatic programming which is coupled with the weather conditioning to estimate the full potential of the effective usage of energy and also to take quick action in creating smart energy infrastructure. Through the application of AI, the systems intend to collate and forecast the large volume of information received through the smart grid which is then used to take timely decision making for saving the energy usage and protect climate change. This paper uses secondary data sources in exploring the evolving role of AI in the creation of smart energy infrastructure and provides the necessary steps of implementing such technologies for protecting the climate change in a sustainable manner. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Climate change

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Energy Coordination Strategy for the Park-Level Integrated Energy System

Energy Coordination Strategy for the Park-Level Integrated E...

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Power science and Technology (ICPST), IEEE international conference on

作者： Xinyi Li Xiaohua Yang Yongqiang Zhu School of Electrical and Electronic Engineering North China Electric Power University Beijing China

ISBN: (数字)9798350349030

ISBN: (纸本)9798350349047

Integrated energy system (IES) represents a crucial avenue of research in the pursuit of energy conservation and carbon reduction, as it facilitates collaborative management and complementarity among multiple energy sources. This study integrates disparate energy networks within the park into a integrated energy system and formulates coordinated scheduling strategies for multiple energy outputs. Configure rooftop photovoltaic and energy conversion equipment in the system. The operation planning objective of the IES is minimizing annual average cost of the system, while taking into account carbon trading expenses and the advantages of substituting purchased electricity with new energy generation. By considering constraints such as supply-demand balance, energy trading, installation requirements for energy conversion equipment, and energy conversion relationships, a mixed integer linear programming (MILP) algorithm is employed to address the problem. This algorithm enables the determination of installation quantity and configuration capacity of distributed energy, energy trading schemes, and daily operation strategies for the system. The calculation results indicate that the addition of photovoltaic power generation units has a positive effect on reducing system carbon emissions and lowering carbon trading costs. Furthermore, energy conversion devices enhance system resilience by efficiently absorbing new energy generation during winter and summer, selling excess electricity to the grid during spring and autumn, and ensuring a stable supply of thermal energy and natural gas.

关键词： Photovoltaic systems Costs Electricity Energy conversion Emissions trading Planning Mixed integer linear programming

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