2022 International Conference on Smart Systems and Power Management (IC2SPM)最新文献_第3页

Recycling of Electrical and Electronic-Waste with the Help of Marx Power Pulse Generator 利用马克思功率脉冲发生器回收电子电气废弃物

2022 International Conference on Smart Systems and Power Management (IC2SPM) Pub Date : 2022-11-10 DOI: 10.1109/IC2SPM56638.2022.9988888

Saman Madanian, S. M. Zanjani, A. Baktash, Mahshad Mahmoudian, G. Shahgholian, Mohammad-hossein Fayaz-dastgerdi

引用次数: 0

High-Precision Micro Capacitance Signal Measurement System-Based on Pcap01 基于Pcap01的高精度微电容信号测量系统

2022 International Conference on Smart Systems and Power Management (IC2SPM) Pub Date : 2022-11-10 DOI: 10.1109/IC2SPM56638.2022.9988930

Song Xiaoya, Tian Hanmin

引用次数: 0

Optimization of Darknet-19 model for the early diagnosis of Covid-19 based on CXR images 基于CXR图像的新冠肺炎早期诊断Darknet-19模型优化

2022 International Conference on Smart Systems and Power Management (IC2SPM) Pub Date : 2022-11-10 DOI: 10.1109/IC2SPM56638.2022.9988909

Khouloud Samrouth, Bouchra Abdelaziz

{"title":"Optimization of Darknet-19 model for the early diagnosis of Covid-19 based on CXR images","authors":"Khouloud Samrouth, Bouchra Abdelaziz","doi":"10.1109/IC2SPM56638.2022.9988909","DOIUrl":"https://doi.org/10.1109/IC2SPM56638.2022.9988909","url":null,"abstract":"Even after the pandemic, Covid-19 is still threatening lives and causing devastating losses to businesses. Thus, early Covid-19 diagnosis prevents the further spread of this epidemic and helps to quickly treat affected patients of coronavirus. Unlike Polymerase Chain Reaction (PCR) test, screening techniques based on Chest X-Ray (CXR) scan detect Covid-19 early even before the beginning of Covid-19 symptoms, also they are more effective and have higher detection rates. However, the CXR images suffer of some low visual quality which makes the CXR-based screening method time consuming due to the small number of radiologists. Therefore, in this paper, we propose an optimization technique for a recently developed intelligent classification system (Darknet-19) that assists radiologists in diagnosing coronavirus for patients using CXR images. In particular, our proposed optimization scheme consists first in a close-up dataset cleaning followed by advanced image enhancement as a preprocessing phase to the Darknet-19 classification model. Our experiments show that our proposed preprocessing optimization scheme improved the performance of the Darknet-19 model to reach an accuracy of 99.2%.","PeriodicalId":179072,"journal":{"name":"2022 International Conference on Smart Systems and Power Management (IC2SPM)","volume":"59 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130885248","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Automated Training Data Construction using Measurements for High-Level Learning-Based FPGA Power Modeling 基于高级学习的FPGA功率建模的测量自动化训练数据构建

2022 International Conference on Smart Systems and Power Management (IC2SPM) Pub Date : 2022-11-10 DOI: 10.1109/IC2SPM56638.2022.9988835

Majdi Richa, Jean-Christophe Prévotet, Mickaël Dardaillon, M. Mroué, A. Samhat

{"title":"Automated Training Data Construction using Measurements for High-Level Learning-Based FPGA Power Modeling","authors":"Majdi Richa, Jean-Christophe Prévotet, Mickaël Dardaillon, M. Mroué, A. Samhat","doi":"10.1109/IC2SPM56638.2022.9988835","DOIUrl":"https://doi.org/10.1109/IC2SPM56638.2022.9988835","url":null,"abstract":"Machine Learning (ML) is the process of developing Artificial Intelligence (AI) in computers, where the generated models are trained using appropriate learning algorithms and training data. For many machine learning techniques, especially the ones related to supervised methods, the construction of the training data highly affects the quality and accuracy of the derived model. In this paper w e present and evaluate an automated training set construction methodology where data is synchronously collected from both hardware and software. The complete design and data flow including the interaction between software and hardware, are thoroughly described. As a direct application, this work targets the construction of an FPGA-based circuit power modeling for subsequent early power estimation. The constructed Artificial Neural Network (ANN) model is trained using real measurement data sets extracted using a dedicated in-house designed and implemented generation and acquisition platform. The designated application falls under the power optimization area, becoming nowadays a major concern for most digital hardware designers, particularly in early design phases and especially in limited power budget systems. The power optimization approach in context can be extended in order to support online power management.","PeriodicalId":179072,"journal":{"name":"2022 International Conference on Smart Systems and Power Management (IC2SPM)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122601457","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Acoustic Drone Detection Based on Transfer Learning and Frequency Domain Features 基于迁移学习和频域特征的声无人机检测

2022 International Conference on Smart Systems and Power Management (IC2SPM) Pub Date : 2022-11-10 DOI: 10.1109/IC2SPM56638.2022.9988816

M. Yaacoub, H. Younes, M. Rizk

引用次数: 0

Hierarchical Game for Resource Sharing and Pricing in Multi-Tenant Networks 多租户网络中资源共享与定价的层次博弈

2022 International Conference on Smart Systems and Power Management (IC2SPM) Pub Date : 2022-11-10 DOI: 10.1109/IC2SPM56638.2022.9988959

S. Farhat, Nour Nasser, Nurelhuda Younis

引用次数: 0

State-Space Modeling of an Open-Loop Conversion Chain in Electric Vehicles 电动汽车开环转换链的状态空间建模

2022 International Conference on Smart Systems and Power Management (IC2SPM) Pub Date : 2022-11-10 DOI: 10.1109/IC2SPM56638.2022.9988929

Y. Ajra, Hiba Al Sheikh, N. Moubayed, G. Hoblos

{"title":"State-Space Modeling of an Open-Loop Conversion Chain in Electric Vehicles","authors":"Y. Ajra, Hiba Al Sheikh, N. Moubayed, G. Hoblos","doi":"10.1109/IC2SPM56638.2022.9988929","DOIUrl":"https://doi.org/10.1109/IC2SPM56638.2022.9988929","url":null,"abstract":"The development and increase in the use and reliance on electric vehicles as an alternative to vehicles that depend on fuel make us care about the basic parts that depend on their operation in a typical way. From here, one of the important elements whose task is to convert the energy stored in the battery to the engine and vice versa is the conversion chain. In view of mentioning the conversion chain, it mainly consists of two main power electronics stages: a bi-directional DC-DC converter, and DC-AC inverter. With this intention, one of the most popular types of DC-DC converters is selected for this study which is the CUK converter, alongside the most popular and reliable DC-AC inverter type which is the Voltage Source Inverter (VSI). Taking advantage of the strengths and features of the model-based method, it will be the most suitable choice for the objective to be used for improving the efficiency of the EVs by investigating the faults that impact the conversion chain and attempting to detect, identify, diagnose or prognose, and understand the cause of their occurrence. In this paper, the state-pace method is used to model the CUK converter and the VSI, to obtain a global model of the chain and the model is verified using MA TLAB script. The script code is used to elaborate a diagnosis/prognosis approach and the results are compared against the equivalent circuit that was built using MATLAB/Simulink which represents a real system.","PeriodicalId":179072,"journal":{"name":"2022 International Conference on Smart Systems and Power Management (IC2SPM)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126877491","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

SCADA System for Solar Backup Power System Automation 太阳能备用电力系统自动化的SCADA系统

2022 International Conference on Smart Systems and Power Management (IC2SPM) Pub Date : 2022-11-10 DOI: 10.1109/IC2SPM56638.2022.9988760

Ali Khadra, Rabih Rammal

引用次数: 1

Designing a Smart Alarm System to Prevent Child Heatstroke in Vehicles 设计智能报警系统防止儿童在车内中暑

2022 International Conference on Smart Systems and Power Management (IC2SPM) Pub Date : 2022-11-10 DOI: 10.1109/IC2SPM56638.2022.9988856

M. Saleh, Fareeda Charkie, Rola Al-Hamad, Fatma Almisned

引用次数: 1

Implementation and Optimization of Neural Networks for Tiny Hardware Devices 神经网络在微型硬件设备中的实现与优化

2022 International Conference on Smart Systems and Power Management (IC2SPM) Pub Date : 2022-11-10 DOI: 10.1109/IC2SPM56638.2022.9988992

Hadi Al Zein, Mohamad Aoude, Youssef Harkous

引用次数: 1