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检索条件"任意字段=2nd International Conference on Art, Science, and Engineering of Programming, Programming 2018"

共 1804 条记录，以下是21-30 订阅

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Research on the Optimization of Wind-Solar Energy Storage Systems in Park Microgrids Based on Mixed Integer Linear programming and Monte Carlo Simulation 2

Research on the Optimization of Wind-Solar Energy Storage Sy...

引用

2nd IEEE international conference on Sensors, Electronics and Computer engineering, ICSECE 2024

作者： Wen, Dongbin Zhang, Fan Li, Chengyue Sheng, Peizhi Huaneng Clean Energy Research Institute Beijing China School of Statistics and Information Shanghai University of International Business and Economics Shanghai China College of Mathematics and Computer Shantou University Shantou China School of Computer and Information Science School of Software Southwest University Chongqing China

ISBN: (纸本)9798350373646

This paper delves into the optimization and economic benefits of wind-solar energy storage systems in park microgrids. By constructing and refining multiple mathematical models, the study provides scientific decision support for system configuration, aiming to meet the increasing demand for load and enhance overall economic benefits. Firstly, the paper proposes the Photovoltaic and Energy Storage Coordination Optimization Model (PCSO-Model), which combines Mixed Integer Linear programming (MILP) with Monte Carlo simulation, effectively reducing the total supply cost of the park. Subsequently, considering the aging effect of energy storage systems, load forecasting errors at different time scales, and the impact of electricity price fluctuations on economic viability, the PCSO model is improved and solved using an improved genetic algorithm. Simulation and optimization results demonstrate that the introduction of energy storage systems reduces costs by approximately 10% on average, decreases the curtailment of wind and solar power by about 15%, and increases the utilization rate of wind and solar power generation by 20%. © 2024 IEEE.

关键词： Mathematical model MILP Monte Carlo simulation PCSO-Model

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Inverter Based on Arduino Mega programming for Uninterruptible Power Supply Applications 2

Inverter Based on Arduino Mega Programming for Uninterruptib...

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2nd IEEE North Karnataka Subsection Flagship international conference, NKCon 2023

作者： Rao, Bhukya Nageswar Oswal, Riya A. Biraje, Swarup R. Hadimani, Lingaraj Kolhapur Institute of Technology College of Engineering Department of Computer Science and Business Systems Kolhapur India

ISBN: (纸本)9798350314045

The utilization of power electronic converters, specifically DC/AC inverters are progressively expanding across industries and household appliances due to their myriad benefits. These inverters commonly adopt a staircase voltage waveform derived from multiple DC sources, resulting in reduced harmonic distortion. This paper strives to enhance our understanding of the performance of a five-level inverter topology using Arduino Mega programming. The Arduino Mega programming will be employed to generate the required pulses for the suggested inverter. The efficacy of this inverter will be assessed through MATLAB/Simulink simulations substantiated through practical implementation using optocouplers and an Arduino Mega controller. The outcomes from the simulation and hardware experimentation confirm the effectiveness of the suggested inverter design. © 2023 IEEE.

关键词： Uninterruptible power systems

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Optimize Design Strategies for Heat-Integrated Air Separation Columns 2

Optimize Design Strategies for Heat-Integrated Air Separatio...

引用

2nd international conference on Multidisciplinary engineering and Applied science, ICMEAS 2023

作者： Zangina, Ja'Afar Sulaiman Suleiman, Muhammad Aliyu Ahmed, Abdulla National Biotechnology Development Agency Food and Industrial Biotechnology Department Abuja Nigeria Nile University of Nigeria Software Engineering Department Abuja Nigeria University of Nyala Department of Electrical and Electronics Engineering Nyala Sudan

ISBN: (纸本)9798350358834

The forefront of energy-saving research in cryogenic air separation units (ASUs) involves the utilization of a heat-integrated air separation column (HIASC). By strategically distributing heat within specific segments of the column, it is possible to enhance the energy efficiency of the HIASC. The current study employed a systematic optimization-based design approach to assess the potential for energy savings in the ASU process while ensuring the production of high-purity products. This approach focuses on mixed-integer nonlinear programming (MINLP) techniques to manipulate the column's stages and variables, including the internal heat exchanger area between two diabatic sections of the column. The study findings indicate that implementing the HIASC based on the proposed design approach can result in energy savings of 16.2% and a reduction of over 20% in operating pressure compared to the baseline design. © 2023 IEEE.

关键词： Integer programming

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2nd international Workshop on the Value Independence in Modern programming Languages (VIMPL 2024)

Programming Companion 2024 - Proceedings of the 8th Internat...

引用

programming Companion 2024 - Proceedings of the 8th international conference on on the art, science, and engineering of programming 2024年 XVII页

作者： Racordon, Dimi Geneva Switzerland

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Research on Simulation Model of Explosion Impulse Noise 2

Research on Simulation Model of Explosion Impulse Noise

引用

2nd IEEE international conference on Electrical engineering, Big Data and Algorithms, EEBDA 2023

作者： Liu, Xingyu Engineering University of PAP Xi'an China

ISBN: (纸本)9781665462532

To calculate sound pressure level of near-field and far-field explosion impulse noise, the simulation model of near-field and far-field explosion impulse noise with joint simulation method of finite element and self-programming. Near-field explosion model is established with finite element method and fluid structure interaction method. Calculation model of far-field impulse noise is established with attenuation formula of sound pressure level, conversion formula of shock wave overpressure and impulse noise, and self-programming method. Sound pressure level of impulse noise can be calculated automatically at any distance from the explosion center. The results show that the simulation results of near-field and far-field impulse noise are in good agreement with static explosion test, and the error is less than 14%. The joint simulation method of finite element and self-programming can also provide a feasible method for the near-field and far-field power calculation, effectiveness evaluation and safety analysis of various explosive ammunition. © 2023 IEEE.

关键词： Explosives

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Research of hanoi tower based on computational thinking 2

Research of hanoi tower based on computational thinking

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2nd international conference on Electrical, Electronics, and Information engineering, EEIE 2023

作者： Zhu, Xia Zhang, Jing Cui, Zhi Xia, Hanjing Wu, Chunyan Jinling Institute of Technology Nanjing211169 China School of Communications and Information Engineering Nanjing University of Posts and Telecommunications Nanjing210003 China Jiangsu Jinling Machinery Manufacturing Factory Nanjing210016 China

ISBN: (纸本)9781510672840

C Language programming is an important professional basic course for computer majors in colleges and universities, and is an introductory course for learning programming technology, which is helpful for improving students' computational thinking. This paper introduces the classical problem Hannover Tower, through the solution of the Hanoi problem, excavates the mathematical rules of its connotation, and derives a series of mathematical formulas to help students understand the idea of non-recursive algorithms. Through the model described in the article to find out the movement law of each disk, it can be seen that the non-recursive solution is exactly the same as the traditional recursive solution in the disk movement, but this algorithm is more efficient and occupies less store space. © 2024 SPIE.

关键词： Students

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An Innovation Development of Smart Robotic System for Autonomous Monitoring 2

An Innovation Development of Smart Robotic System for Autono...

引用

2nd IEEE international conference on Distributed Computing and Electrical Circuits and Electronics, ICDCECE 2023

作者： Reddy, Somashekhara Srivastava, Saurabh Kumar Department of Computer Science and Engineering Bangalore India Teerthanker Mahaveer University College of Computing Science & It Department of Computing Science & It Moradabad India

ISBN: (纸本)9798350347456

Autonomous monitoring systems are becoming increasingly popular as they can be used to monitor a number of different processes and tasks, ranging from security and surveillance to industrial optimization. Smart robotic systems are one of the most popular types of autonomous monitoring systems and can provide an effective and efficient way to monitor different situations. A smart robotic system consists of a robot that is programmed and equipped with sensors to detect and recognize objects and conditions in its environment. The robot is able to analyze the data from the sensors and use it to make decisions based on its programming. This allows the robot to act autonomously and autonomously monitor different areas, depending on its programming. The advantages of using a smart robotic system for autonomous monitoring include increased accuracy, efficiency, and safety. For example, a smart robotic system can be used to monitor and control industrial processes, such as production lines and assembly lines. The sensors allow the robot to identify objects and conditions, such as temperature, humidity, and pressure, and then adjust the parameters accordingly. This can help to optimize the production process, resulting in a more efficient process. © 2023 IEEE.

关键词： Robot programming

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A Fruit and Vegetable Detection Based on Pytorch Machine Learning Frame Work Model 2

A Fruit and Vegetable Detection Based on Pytorch Machine Lea...

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2nd international conference on Emerging Trends in Information Technology and engineering, ic-ETITE 2024

作者： Priyadharshini, U. Vijayan, R. School of Advanced Science Vellore Institute of Information Technology Vellore India School of Computer Science Engineering and Information System Vellore Institute of Information Technology Vellore India

ISBN: (纸本)9798350328202

Today, Agricultures has become a significant element of people's life. Among them fruits and vegetables are a great thing for healthy lives. Classification of fruits and vegetable are difficult for normal person because of some same similarities like shape and color. Also, Fruits and Vegetables classification is an important process in industries applications as well as local market. Lots of similarities available between fruits like apples, pears and peaches, and that kinds of fruits are generally used in daily routine. As well as some vegetables are same in shape, so it will be difficult to differentiate in this type of situation for old persons. The previous research for solution of this type of problem for classification of fruits CNN is used but the problem in this research is when they use the self-made datasets then their accuracy decreases as compare to public datasets accuracy increases. To solve this type of problem, here produce a kind of algorithms in the paper to classify fruits and vegetable, using deep leaning technique such as VGG16 and DenseNet169 model have capability to extract the feature of images very deeply using various small filters so it provide a better result. On this premise, it was used to classify fruit kinds against a complex background and integrated with data improvement technology for future usage. It might be helpful for human for automatic differentiate the both categories. This project is implemented in the python programming language and the dataset used Fruits and Vegetables Image Recognition Dataset for the classification. Which will help to differentiate between Fruits and Vegetables with high accuracy rate. For the implementation of this project used Python programming and this implementation using the tool like Jupiter and Kaggle Notebook and used GPU for highspeed execution. © 2024 IEEE.

关键词： Fruits

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Workspace Modeling and Trajectory Mapping for Robotic Execution using artificial Neural Networks 2

Workspace Modeling and Trajectory Mapping for Robotic Execut...

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2nd international conference on Automation, Computing and Renewable Systems, ICACRS 2023

作者： Jha, Abhishek Poorani Ayswariya, P.S. Bhattacharjee, Neelanjan Department of Mechanical Engineering Amrita School of Engineering Amrita Vishwa Vidyapeetham Chennai India Department of Computer Science and Engineering Amrita School of Engineering Amrita Vishwa Vidyapeetham Chennai India Department of Mechanical Engineering University of Alberta Edmonton Canada

ISBN: (纸本)9798350340235

Demonstrating a task at trajectory level is one of the key concepts in robot programming by demonstration approaches. The suitability of the demonstrated trajectory for robot execution is a challenging problem to answer in such approaches. In this work, a simplified framework is presented to judge the suitability of an externally defined trajectory for robot execution. The approach is based on learning of the workspace model of the robot and then retrieving an analogous trajectory for robot execution corresponding to externally mapped trajectory. An artificial Neural Network architecture is used to learn the workspace model of the robot and extract an analogous trajectory. The approach is demonstrated for a six degrees of freedom robot. Simulation results reveal that the approach provides an effective way to evaluate an externally demonstrated trajectory. © 2023 IEEE.

关键词： artificial Neural Network Kinematics programming by demonstration Robot Workspace Trajectory Mapping

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IoT Based Security System In Railway Tracks 2

IoT Based Security System In Railway Tracks

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2nd IEEE international conference on Advances in Information Technology, ICAIT 2024

作者： Sandhya, G. Reshma, Rabiya S. Satin, Jebeena R. Logeshwari, R. Department of Computer Science and Engineering Sri Krishna College of Technology Tamil Nadu Coimbatore India

ISBN: (纸本)9798350383867

Our Internet of Things (IoT)-based Railway Track Security System is a cutting-edge solution to increasing issues on train accidents and animal deaths on railway lines. The real-time animal identification and alerts accomplished with the help of artificial Intelligence powered cameras and Python algorithms by system. It ensures prompt notifications to approaching trains and nearby train stations with the help of Long-Range (LoRa) communication, allowing for proactive responses to potential threats. Based on Python programming, the system' s architecture ensures a robust and flexible backend. This system allows for seamless integration with the current rail system and for future enhancements. As a proactive and efficient solution, our technology enhances track safety, lowers accident rates, and safeguards the lives of people and animals on railroad tracks. © 2024 IEEE.

关键词： Railroad accidents

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