检索结果-内蒙古大学图书馆

9th International Conference on Technology and Energy Management, ICTEM 2024

作者： Rizi, Daryoush Tavangar Nazari, Mohammad Hassan Gharehpetian, G.B. Hosseinian, Seyed Hossein Fani, Maryam Khorsandi, Amir Amirkabir University of Technology Department of Physics and Energy Engineering Tehran Iran Smart Control Systems Department Tehran Iran Amirkabir University of Technology Department of Electrical Engineering Tehran Iran

ISBN: (纸本)9798350329797

Special goals in the oil industry lead experts to the optimal use of hydrogen in refinery and petrochemical units. In this research, the necessity of hydrogen management and refinery hydrogen distribution network in refineries has been investigated. In this method, based on the pressure, the hydrogen distribution network in the refinery is checked in two modes. In the first case, the optimization is done only with the equipment that is currently available in the refinery. Here in, the output of the hydrogen production unit and the operating costs will not decrease. Even so, in the second case, assuming the economic possibility of purchasing a new device called pressure oscillation absorption hydrogen recovery units (PSA), optimization has been done and the results have been analyzed and reviewed. In the simulation of the problem in question, GAMS software has been used in the form of nonlinear programming in the network to reduce hydrogen production in the hydrogen production and recycling unit, which has led to a 54.13% reduction in operating costs. A successful implementation of this initiative has resulted in considerable financial savings of 1.21 million dollars for the refinery on an annual basis. Cost of existing network is 235 million dollars, while PSA costs 1.025 million dollars. The results show that the objectives of this research have been well achieved. © 2024 IEEE.

关键词： Operating costs

来源：评论

学校读者我要写书评

暂无评论

Towards Accurate RPM Detection Using Primary Ignition Pulses 49

Towards Accurate RPM Detection Using Primary Ignition Pulses

引用

49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023

作者： Wijayaraja, Jaliya L. Abhayasinghe, Nimsiri Wellalage, Sasini Sliit Faculty of Computing Department of Computer Systems Engineering Malabe Sri Lanka Sliit Faculty of Engineering Department of Electrical and Electronic Engineering Malabe Sri Lanka

ISBN: (纸本)9798350331820

Enhancing the performance and extending the life-cycle of older vehicles through retrofitting with improved systems presents an alluring opportunity. However, achieving accurate sensing of crucial parameters, such as engine revolutions per minute (RPM), poses challenges due to the need for mechanical manipulation and some designs, which may result in diminished accuracy in adverse settings. This study proposes using the primary ignition pulse signal to accurately determine engine speed without mechanical manipulation. We investigate the effectiveness of signal processing methods, including the RC filter, 2nd and 6th order Butterworth filter, to improve the accuracy of the readings. Our proposed method successfully collects data from conventional internal combustion engines, with simulated signal processing methods producing accurate detection of RPM and reduced fluctuations. The proposed method eliminated the noise, leading to accurate RPM measurements, while the maximum standard deviation observed for the RC filter implementation was 38.74. By accurately sensing key parameters, older vehicles can be retrofitted with improved systems, leading to enhanced performance and an extended lifecycle. The introduced methods can be practically implemented using custom electronics or embedded systems and can contribute to future research on automotive retrofitting. © 2023 IEEE.

关键词： Life cycle

来源：评论

学校读者我要写书评

暂无评论

Answer Code Validation program with Test Data Generation for Code Writing Problem in Java programming Learning Assistant System

引用

engineering Letters 2024年第5期32卷 981-994页

作者： Wai, Khaing Hsu Funabiki, Nobuo Aung, Soe Thandar Lu, Xiqin Jing, Yanhui Kyaw, Htoo Htoo Sandi Kao, Wen-Chung Department of Information and Communication Systems Okayama University Okayama Japan Department of Computer and Information Science Tokyo University of Agriculture and Technology Tokyo Japan Department of Electrical Engineering National Taiwan Normal University Taipei Taiwan

In order to support the learning of novice students in Java programming, the web-based Java programming Learning Assistant System (JPLAS) has been developed. JPLAS offers several types of exercise problems to foster code reading and writing skills at different levels. In JPLAS, the code writing problem (CWP) asks a student to write a source code that will pass the test code given in the assignment where the correctness is verified by running them on JUnit. In this paper, to reduce the teacher’s workload during the marking process, we present the answer code validation program that verifies all the source codes from a large number of students for each assignment and reports the number of passing tests for each source code in the CSV file. Besides, to test a source code with various input data, we implement the test data generation algorithm that identifies the data type, generates new data, and replaces it for each test data in the test code. Furthermore, to verify the correctness of the implemented procedures in the source code, we introduce the intermediate state testing in the test code. For evaluations, we applied the proposal to source codes and test codes in a Java programming course in Okayama university, Japan, and confirmed the validity and effectiveness. © 2024, International Association of Engineers. All rights reserved.

关键词： Students

来源：评论

学校读者我要写书评

暂无评论

Working Condition Identification Method for the Scarifying Tooth Harrow Monitoring System of a Roller-type Residual Film Collector

引用

Journal of engineering Science and Technology Review 2024年第2期17卷 58-65页

作者： Xue, Dangqin Zhang, Xiaodong Dong, ZhaoSen Zhang, Jiaxi Shi, Huojie Nanyang Institute of Technology Nanyang473000 China College of Automation Engineering Henan Polytechnic Institute Nanyang473000 China Mechanical and Electrical Engineering Institute Xinjiang Agricultural University Urumqi830052 China Department of Biological Systems Engineering Washington State University PullmanMI98101 United States

The roller-type residual film collector is the main machine type for collecting residual films. The scarifying tooth harrow bears the largest resistance among all the components of the entire machine, and it directly affects the quality and efficiency of the residual film collector. In this study, the arithmetic optimization algorithm- variational mode decomposition - bidirectional long short-term memory (AOA-VMD-BiLSTM) model was proposed to improve the working condition identification accuracy of the scarifying tooth harrow. First, the locations of three scarifying tooth harrow monitoring points were analyzed, the arithmetic optimization algorithm was introduced to optimize the variational mode decomposition (VMD) parameters, and the optimal parameter combination of the three monitoring points was acquired. Second, the reconstructed signal for the three monitoring points on the scarifying tooth harrow after VMD decomposition was subjected to two-way updating and recursion with bidirectional long short-term memory (BiLSTM) as the core of the model, and iterative training of the scarifying tooth harrow under four working conditions was performed. Last, the new sample set and the original dataset were imported into two deep learning models, namely, BiLSTM and long short-term memory (LSTM), followed by a comparative validation of the training results of VMD-BiLSTM, VMD-LSTM, BiLSTM, and LSTM models. Results demonstrate that among the models, VMD-BiLSTM exerts the best processing effect on complex signals and has a higher convergence rate, better convergence stability, and higher accuracy. In the VMD-BiLSTM diagnostic model, each performance index can exceed 97.3%. This model performs better than VMD-LSTM, BiLSTM, and LSTM models and realizes intelligent classification under four signal conditions of the scarifying tooth harrow: no load, normal operation, mild overload, and serious overload. The proposed method provides great significances for improving the intelligenc

关键词： Long short-term memory

来源：评论

学校读者我要写书评

暂无评论

An Ant-Lion Optimization Based Approach to Solve Phase Balancing Problem in Distribution Networks 59

An Ant-Lion Optimization Based Approach to Solve Phase Balan...

引用

59th International Universities Power engineering Conference, UPEC 2024

作者： Yesilyurt, Gunnur Ceylan, Oguzhan Istanbul Technical University Department of Electrical Engineering Turkey Kadir Has University Management Information Systems Turkey

ISBN: (纸本)9798350379730

Phase unbalance is a significant issue for power distribution networks. It can lead to increased energy losses and voltage instability, undermining the electrical grid's reliability and efficiency. We propose an approach to minimize voltage unbalance through reactive power management from PV instal-lations and the optimization of charging/discharging of energy storage devices utilizing a control algorithm based on Ant-Lion Optimizer. We tested the approach on the IEEE 123-Bus Test System, incorporating PV generations by daily simulations. From the results, the combined operation of reactive power support from PVs and Storage Units with the help of the ALO algorithm offers a promising solution to the phase unbalance problem. © 2024 IEEE.

关键词： Power distribution networks

来源：评论

学校读者我要写书评

暂无评论

Trainable Gaussian-based activation functions for sensor-based human activity recognition

引用

Journal of Reliable Intelligent Environments 2024年第4期10卷 357-376页

作者： Machacuay, Javier Quinde, Mario Department of Mechanical–Electrical Engineering Universidad de Piura Av. Ramón Mugica 131 Piura Piura20009 Peru Department of Industrial and Systems Engineering Universidad de Piura Av. Ramón Mugica 131 Piura Piura20009 Peru

Neural networks’ capability to model non-linear relationships strongly depends on their activation functions (AFs). This dependency makes the search for AFs with better performance a relevant open research subject. This research work proposes two Trainable Gaussian-based AFs for Multilayer Perceptron neural networks on sensor-based human activity recognition (HAR), namely, the Four-Parameter Activation Gaussian Radial Basis Function (T4GRBF) and the Weighted Gaussian Radial Basis Function (WGRBF). The T4GRBF considers the training of four parameters. Two of these parameters regulate the center and spread of the Gaussian shape separately. Another parameter regulates the center and shape simultaneously, and the last parameter regulates the output range of the AF. The WGRBF adjusts the Gaussian shape with only two trainable parameters, and it is then scaled by the AF input. The proposals are validated through experiments on the Opportunity and UniMiB SHAR benchmark datasets. The results found for the Opportunity dataset in this research work evidence that the sliding window segmentation method has a high impact on the AFs’ performance, and the results in the UniMiB dataset show that the trainable GRBF-based AFs improve the HAR models performance. Furthermore, in both datasets, the Trainable Gaussian-based AFs fit the training data better than the standard AFs, regardless of the specific time window setup used in the experiments. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024.

关键词： Multilayer neural networks

来源：评论

学校读者我要写书评

暂无评论

Quantitative Analysis of Ankle Spasticity Through Electromyography Signal

Quantitative Analysis of Ankle Spasticity Through Electromyo...

引用

2024 Medical Technologies Congress, TIPTEKNO 2024

作者： Gurluk, Ayse Bilal, Hafiz Muhammad Hocaoglu, Elif Living Robotics Laboratory Graduate School of Health Sciences Physiotherapy and Rehabilitation Program Istanbul Medipol University Istanbul Turkey Living Robotics Laboratory Graduate School of Engineering and Natural Sciences Electrical-Electronics Engineering and Cyber-Systems Program Istanbul Medipol University Istanbul Turkey Living Robotics Laboratory Department of Electrical and Electronics Engineering Istanbul Medipol University Istanbul Turkey

ISBN: (纸本)9798331529819

This study presents a more accurate evaluation method for assessing ankle spasticity compared to conventional goniometric techniques by utilizing measurements obtained from Inertial Measurement Units (IMU) and surface electromyography (sEMG) devices. Integrating IMU and EMG sensors provides substantial benefits for accurately determining the range of motion (ROM) associated with spasticity during targeted movements. In this study, the proposed method provides precise measurement and an objective evaluation of onset time detection of antagonistic muscle co-contraction, and accordingly the ROM of the actuated joint. Moreover, the implementation of cost-effective wearable sensors enables the monitoring of muscle spasticity in clinical environments and can be particularly valuable in regions with limited access to experienced therapists, providing a more efficient approach to tracking spasticity levels. © 2024 IEEE.

关键词： Electromyography

来源：评论

学校读者我要写书评

暂无评论

Improved Control in Single Phase Inverter Grid-Tied PV System Using Modified PQ Theory

引用

Intelligent Automation & Soft Computing 2023年第8期37卷 2441-2457页

作者： Nur Fairuz Mohamed Yusof Dahaman Ishak Muhammad Ammirrul Atiqi Mohd Zainuri Muhammad Najwan Hamidi Zuhair Muhammed Alaas Mohamed Mostafa Ramadan Ahmed Faculty of Electrical Engineering&Technology Universiti Malaysia Perlis02600ArauMalaysia School of Electrical&Electronic Engineering Universiti Sains Malaysia14300Nibong TebalMalaysia Department of Electrical Electronic and Systems EngineeringFaculty of Engineering and Built EnvironmentUniversiti Kebangsaan MalaysiaSelangor43600Malaysia School of Engineering Jazan UniversityJazanSaudi Arabia Faculty of Technology and Education Helwan UniversityCairoEgypt

Grid-connected reactive-load compensation and harmonic control are becoming a central topic as photovoltaic(PV)grid-connected systems *** research aims to produce a high-performance inverter with a fast dynamic response for accurate reference tracking and a low total har-monic distortion(THD)even under nonlinear load applications by improving its control *** proposed system is expected to operate in both stand-alone mode and grid-connected *** stand-alone mode,the proposed controller supplies power to critical loads,alternatively during grid-connected mode provide excess energy to the utility.A modified variable step incremental conductance(VS-InCond)algorithm is designed to extract maximum power from *** the proposed inverter controller is achieved by using a modified PQ theory with double-band hysteresis current controller(PQ-DBHCC)to produce a reference current based on a decomposition of a single-phase load *** nonlinear rectifier loads often create significant distortion in the output voltage of single-phase inverters,due to excessive current harmonics in the ***,the proposed method generates a close-loop reference current for the switching scheme,hence,minimizing the inverter voltage distortion caused by the excessive grid current *** simulation findings suggest the proposed control technique can effectively yield more than 97%of power conversion efficiency while suppressing the grid current THD by less than 2%and maintaining the unity power factor at the grid *** efficacy of the proposed controller is simulated using MATLAB/Simulink.

关键词： Hysteresis current controller incremental conductance nonlinear load PQ theory single-phase inverter

来源：评论

学校读者我要写书评

暂无评论

Accelerating Image-based Pest Detection on a Heterogeneous Multicore Microcontroller

IEEE Transactions on AgriFood Electronics

引用

IEEE Transactions on AgriFood Electronics 2024年第2期2卷 170-180页

作者： Bompani, Luca Crupi, Luca Palossi, Daniele Baldoni, Olmo Brunelli, Davide Conti, Francesco Rusci, Manuele Benini, Luca University of Bologna Department of Electrical Electronic Information Engineering Bologna40126 Italy USI-SUPSI Dalle Molle Institute for Artificial Intelligence Lugano6962 Switzerland ETH Zürich Integrated Systems Laboratory Zürich8092 Switzerland University of Trento Department of Industrial Engineering Trento38122 Italy KU Leuven Department of Electrical Engineering Leuven3000 Belgium

The codling moth pest poses a significant threat to global crop production, with potential losses of up to 80% in apple orchards. Special camera-based sensor nodes are deployed in the field to record and transmit images of trapped insects to monitor the presence of the pest. This article investigates the embedding of computer vision algorithms in the sensor node using a novel state-of-the-art microcontroller unit (MCU), the GreenWaves Technologies' GAP9 system-on-chip, which combines 10 RISC-V general purposes cores with a convolution hardware accelerator. We compare the performance of a lightweight Viola-Jones detector algorithm with a convolutional neural network (CNN), MobileNetV3-SSDLite, trained for the pest detection task. On two datasets that differentiate for the distance between the camera sensor and the pest targets, the CNN generalizes better than the other method and achieves a detection accuracy between 83% and 72%. Thanks to the GAP9's CNN accelerator, the CNN inference task takes only 147 ms to process a 320 × 240 pixel image. Compared to the GAP8 MCU, which only relies on general-purpose cores for processing, we achieved 9.5× faster inference speed. When running on a 1000 mAh battery at 3.7 V, the estimated lifetime is approximately 199 days, processing an image every 30 s. Our study demonstrates that the novel heterogeneous MCU can perform end-to-end CNN inference with an energy consumption of just 4.85 mJ, matching the efficiency of the simpler Viola-Jones algorithm and offering power consumption up to 15× lower than previous methods. © 2024 IEEE.

关键词： Sensor nodes

来源：评论

学校读者我要写书评

暂无评论

Power transmission network planning under uncertainties

Power transmission network planning under uncertainties

引用

2024 IEEE PES Innovative Smart Grid Technologies Europe Conference, ISGT EUROPE 2024

作者： Vukadinović, Neven Pavić, Ivica Holjevac, Ninoslav Zagreb Croatia University of Zagreb Faculty of Electrical Engineering and Computing Department of Energy and Power Systems Zagreb Croatia

ISBN: (纸本)9789531842976

The optimization of load flow analysis is crucial for the efficient observation of the impact of new power plants into existing electricity power systems (EPS). The advent of integration of new energy sources has reduced construction timeline requirements to 4-5 years, creating a lag in the development of supporting electricity infrastructure. This paper explores the spatial and temporal dimensions of EPS development planning, illustrated through the example of two new connection requests to a transmission network, with emphasis on importance of load flow optimization and the potential failure analysis to meet the (N-1) contingency criterion, which ensures system reliability during outages. This paper underscores the necessity of strategic planning in EPS development to accommodate new generation units while maintaining system stability and reliability at the satisfactory levels. © 2024 IEEE.

关键词： Load flow optimization

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：