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2023 15th International Conference on Computer and Automation Engineering (ICCAE)最新文献

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Distributed Scheduling of Home Appliances to Flatten Peak Demand in Microgrids and Enhancements 家用电器分布式调度在微电网中平抑峰值需求及其增强
2023 15th International Conference on Computer and Automation Engineering (ICCAE) Pub Date : 2023-03-03 DOI: 10.1109/ICCAE56788.2023.10111449
Devendra Dahiphale, Vijay Dahiphale
{"title":"Distributed Scheduling of Home Appliances to Flatten Peak Demand in Microgrids and Enhancements","authors":"Devendra Dahiphale, Vijay Dahiphale","doi":"10.1109/ICCAE56788.2023.10111449","DOIUrl":"https://doi.org/10.1109/ICCAE56788.2023.10111449","url":null,"abstract":"The primary power grids provide electricity to cities, businesses, and industries. In addition to the primary power grids, there exist smaller, independent grids called microgrids or remote grids that provide electricity to islands, rural areas, remote areas, or small communities. Because micro-grids limited capacity for power generation, flattening the peak power demand is one of the significant challenges. We focus on peak demand flattening using the power-voltage relationship approach out of the available solutions. Specifically, we observe that the existing algorithms for flattening peak demand using a distributed water heater scheduling algorithm suffer from the following drawbacks, 1. It generates short-term ON/OFF events, which are unsuitable for electrical appliances 2. It does not guarantee performance in distributed scheduling 3. Finally, it has severe consequences if water usage prediction goes wrong. Therefore, we propose a new algorithm that overcomes the problem of short-term ON/OFF events. In addition, we verified that at any given instance in time, fewer homes keep their water heater ON simultaneously without affecting the hot water usage of targeted users.","PeriodicalId":406112,"journal":{"name":"2023 15th International Conference on Computer and Automation Engineering (ICCAE)","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125067930","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
Elevation Estimation in 3D Radar by an Ensemble Regression Model for Surveillance Applications 基于集成回归模型的三维雷达高程估计
2023 15th International Conference on Computer and Automation Engineering (ICCAE) Pub Date : 2023-03-03 DOI: 10.1109/ICCAE56788.2023.10111447
Ram Pravesh, B. Sahana
{"title":"Elevation Estimation in 3D Radar by an Ensemble Regression Model for Surveillance Applications","authors":"Ram Pravesh, B. Sahana","doi":"10.1109/ICCAE56788.2023.10111447","DOIUrl":"https://doi.org/10.1109/ICCAE56788.2023.10111447","url":null,"abstract":"3D surveillance radars determine three main parameters: Range, Azimuth, and Elevation angle of the aerial target. The elevation estimation parameter is a key feature of 3D radars. Sequential lobing, conical scanning, and mono-pulse are the traditional methods to estimate the elevation angle of an aerial target. These methods have limitations in elevation estimation accuracy due to antenna pattern error, channel mismatch error, platform orientation, platform stabilization, jamming and clutter, multipath reflection, target fluctuation, etc. This paper suggests the machine learning based Ensemble Regression Elevation Estimation Method (EREEM) for elevation estimation in 3D radars. It is based on popular regression techniques such as Linear Regression, Decision Trees, Random Forest, Support Vector Regression, Gaussian Process Regression, Kernel Regression and Neural Network Regression. The accuracy of the proposed method is validated over simulated stacked pencil beam data as well as recorded data from 3D surveillance radars. It has higher accuracy over sequential lobing, conical scanning, and mono-pulse methods of angle estimation. Observed height accuracy is more than 95% using EREEM.","PeriodicalId":406112,"journal":{"name":"2023 15th International Conference on Computer and Automation Engineering (ICCAE)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125105328","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
Integration of Machine Learning in Agile Supply Chain Management 机器学习在敏捷供应链管理中的集成
2023 15th International Conference on Computer and Automation Engineering (ICCAE) Pub Date : 2023-03-03 DOI: 10.1109/ICCAE56788.2023.10111340
Vivek Ghabak, A. Seetharaman
{"title":"Integration of Machine Learning in Agile Supply Chain Management","authors":"Vivek Ghabak, A. Seetharaman","doi":"10.1109/ICCAE56788.2023.10111340","DOIUrl":"https://doi.org/10.1109/ICCAE56788.2023.10111340","url":null,"abstract":"One essential component of any manufacturing industry's success is a successful supply chain. Customer expectations have increased due to the quick growth of information and communication technologies, which has also made the world more competitive. Global production and manufacturing have now transitioned to Industry 4.0. The \"Internet of Things,\" \"Big Data,\" and \"Artificial Intelligence\" are the dominant digital technologies in this. Consequently, in the near future, supply chain management (SCM) will manage not only the flow of raw materials, semi-finished goods, finished goods, and services from the manufacturer to the customer, but also the flow of the most recent data for current and future supply chain visibility & sustainability. For this many companies around the world have tapped one of the advanced technique - Machin Learning (ML) for early risk identification & management, material planning & forecasting, raw material price forecasting etc. As a result, purpose of this paper is to explain a conceptual framework which illuminates factors influencing integration of Machin learning (ML) in Agile Supply chain management, its benefits, and challenges to implement.","PeriodicalId":406112,"journal":{"name":"2023 15th International Conference on Computer and Automation Engineering (ICCAE)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125154790","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
Neural Network Modeling of the Refining Motor Load for Medium-Density Fibreboard Production 中密度纤维板精炼电机负荷的神经网络建模
2023 15th International Conference on Computer and Automation Engineering (ICCAE) Pub Date : 2023-03-03 DOI: 10.1109/ICCAE56788.2023.10111131
Lorenzo Tuissi, Daniele Ravasio, S. Spinelli, A. Ballarino
{"title":"Neural Network Modeling of the Refining Motor Load for Medium-Density Fibreboard Production","authors":"Lorenzo Tuissi, Daniele Ravasio, S. Spinelli, A. Ballarino","doi":"10.1109/ICCAE56788.2023.10111131","DOIUrl":"https://doi.org/10.1109/ICCAE56788.2023.10111131","url":null,"abstract":"In this study, artificial neural networks are adopted to perform multi-step predictions of the power consumed by the refiner of a thermo-mechanical pulping process specialized in medium-density fiberboard production. In this way, the obtained model can be integrated within a model-based control. The refining process is characterized by a large number of variables, and artificial neural networks are a well-established methodology for multivariate data processing, able to identify the non-linear hidden relationship between monitored variables. Both a Long Short-Term Memory network, with stability guarantees, and a Transformer one are implemented due to their ability to model the evolution of dynamical systems. Simulation results prove both models’ multi-step prediction capabilities.","PeriodicalId":406112,"journal":{"name":"2023 15th International Conference on Computer and Automation Engineering (ICCAE)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129600775","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
Effects of ESRGAN in Sugar Apple Ripeness Detection ESRGAN在糖苹果成熟度检测中的作用
2023 15th International Conference on Computer and Automation Engineering (ICCAE) Pub Date : 2023-03-03 DOI: 10.1109/ICCAE56788.2023.10111452
Rhys B. Sanchez, Jose Angelo C. Esteves, N. Linsangan
{"title":"Effects of ESRGAN in Sugar Apple Ripeness Detection","authors":"Rhys B. Sanchez, Jose Angelo C. Esteves, N. Linsangan","doi":"10.1109/ICCAE56788.2023.10111452","DOIUrl":"https://doi.org/10.1109/ICCAE56788.2023.10111452","url":null,"abstract":"In using the CNN algorithm, detecting and classifying objects will output classification errors in images throughout its usage. Presently, using SRGAN was not tested whether it has an effect on the use of CNN in determining sugar apple ripeness. The researchers used Enhanced SRGAN to improve the quality of sugar apple images taken. Images taken from sugar apples were compared to images stored in the dataset of the device using CNN, which then tells the ripeness stage of the sugar apple image. The same set of images captured is enhanced using ESRGAN to compare if there will be an effect on the results of the system using CNN. The researchers saw that better resolution and quality of the images could produce better results based on the data collected. Images without ESRGAN saw an accuracy of 84.00% and with a confidence of 49.57%. Enhanced images using ESRGAN produced more promising results with an accuracy of 92.00% and a confidence of 52.61% compared to normal images.","PeriodicalId":406112,"journal":{"name":"2023 15th International Conference on Computer and Automation Engineering (ICCAE)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128535256","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
YOLOv7 for Face Mask Identification Based on Deep Learning 基于深度学习的YOLOv7人脸识别
2023 15th International Conference on Computer and Automation Engineering (ICCAE) Pub Date : 2023-03-03 DOI: 10.1109/ICCAE56788.2023.10111427
Christine Dewi, Abbott Po Shun Chen, Henoch Juli Christanto
{"title":"YOLOv7 for Face Mask Identification Based on Deep Learning","authors":"Christine Dewi, Abbott Po Shun Chen, Henoch Juli Christanto","doi":"10.1109/ICCAE56788.2023.10111427","DOIUrl":"https://doi.org/10.1109/ICCAE56788.2023.10111427","url":null,"abstract":"The World Health Organization (WHO) has publicized a global public health emergency due to the COVID-19 coronavirus pandemic. Wearing a mask in public can provide protection against the spread of disease. Tremendous progress has been made in object detection in recent times, thanks in large part to deep learning models, which have shown encouraging results when it comes to recognizing objects in images. Recent technological developments have made this progress possible. Wearing a mask in public is one way to prevent the transmission of COVID-19 from others. Our study employs You Only Look Once (YOLO) v7 to determine whether a subject is wearing a mask, and then divides them into three groups depending on the degree to which they are wearing a mask correctly (none, bad, and good). In this study, we merged two datasets, the Face Mask Dataset (FMD) and the Medical Mask Dataset (MMD), to conduct our experiment. These models' evaluations and ratings include crucial criteria. According to our data, YOLOv7 achieves the highest mAP (98.5%) in the \"Good\" class.","PeriodicalId":406112,"journal":{"name":"2023 15th International Conference on Computer and Automation Engineering (ICCAE)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124301866","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: 3
Application of Earthworm Algorithm in Battery Size Optimization and Load Schedule of PV-BESS for Residential Houses 蚯蚓算法在家用光伏电池储能系统电池尺寸优化及负荷调度中的应用
2023 15th International Conference on Computer and Automation Engineering (ICCAE) Pub Date : 2023-03-03 DOI: 10.1109/ICCAE56788.2023.10111448
Raymart A. Naces, Carol Joy M. Tejada, C. Ostia
{"title":"Application of Earthworm Algorithm in Battery Size Optimization and Load Schedule of PV-BESS for Residential Houses","authors":"Raymart A. Naces, Carol Joy M. Tejada, C. Ostia","doi":"10.1109/ICCAE56788.2023.10111448","DOIUrl":"https://doi.org/10.1109/ICCAE56788.2023.10111448","url":null,"abstract":"Due to economic expansion, population growth, and technological improvements contribute to rising energy demand, the self-consumption of locally generated electricity from photovoltaic (PV) systems is becoming an important application area for stationary battery energy storage systems (BESS). The optimized load schedule and battery capacity were employed in this research to reduce the customer's total cost. In many articles, a PV-BESS system was optimized using various optimization approaches. The Earthworm Algorithm (EWA) in MATLAB was used as the optimization method. Based on the result, the EWA BESS size optimized is 20.36 kWh, the total optimized cost is 45% less than the total unoptimized value, and the total EWA optimized cost is 7% less expensive than the total Cuckoo Search Algorithm (CSA) optimized cost. It was proven using statistical tools that the overall cost of an optimized and unoptimized PV-BESS system differs significantly, whereas the total cost of an EWA optimized, and CSA optimized system does not differ much.","PeriodicalId":406112,"journal":{"name":"2023 15th International Conference on Computer and Automation Engineering (ICCAE)","volume":"198 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131732027","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
Main Results on Earliest Deadline First Scheduling for Energy Neutral Sensors 能量中性传感器最早截止时间优先调度的主要结果
2023 15th International Conference on Computer and Automation Engineering (ICCAE) Pub Date : 2023-03-03 DOI: 10.1109/ICCAE56788.2023.10111188
M. Chetto, Rola El Osta
{"title":"Main Results on Earliest Deadline First Scheduling for Energy Neutral Sensors","authors":"M. Chetto, Rola El Osta","doi":"10.1109/ICCAE56788.2023.10111188","DOIUrl":"https://doi.org/10.1109/ICCAE56788.2023.10111188","url":null,"abstract":"Energy harvesting technology permits perpetual operation to small electronic devices such as wireless sensors. Intermittent computing and real-time scheduling are the two main issues when designing such devices. Classical scheduling approaches are not convenient because they cannot accommodate fluctuations in power supply. A variant of the Earliest Deadline First scheduler was proposed so as to adapt to the characteristics of energy harvesting computing systems. The so-called ED-H algorithm is an idling and clairvoyant one which improves performance in terms of deadline missing ratio. And the so-called SSP algorithm is an aperiodic task server which provides optimal responsiveness for aperiodic tasks while guaranteeing deadlines of the critical periodic tasks. Thus, this paper reviews the main advances in real-time scheduling theory for energy harvesing systems under real-time constraints.","PeriodicalId":406112,"journal":{"name":"2023 15th International Conference on Computer and Automation Engineering (ICCAE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131112547","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
Musculoskeletal Modelling and Simulation for Upper Limb Muscle Activities 上肢肌肉活动的肌肉骨骼建模与仿真
2023 15th International Conference on Computer and Automation Engineering (ICCAE) Pub Date : 2023-03-03 DOI: 10.1109/ICCAE56788.2023.10111291
Mohd Fadzli Ashari, A. Hanafusa, S. Mohamaddan
{"title":"Musculoskeletal Modelling and Simulation for Upper Limb Muscle Activities","authors":"Mohd Fadzli Ashari, A. Hanafusa, S. Mohamaddan","doi":"10.1109/ICCAE56788.2023.10111291","DOIUrl":"https://doi.org/10.1109/ICCAE56788.2023.10111291","url":null,"abstract":"Musculoskeletal modeling and simulation are widely used in many areas of research including biomedical, sports, and engineering. In this study, the musculoskeletal model from an open-source platform, OpenSim software is used to simulate the upper limb muscle activities while performing the ADLs tasks using an assistive device. The upper limb musculoskeletal model was scaled down from the existing model to meet the motion requirement of the device. The device was remodeled in 3D using design software and imported into OpenSim environment and connected to the musculoskeletal model. The center of mass (COM) and inertia calculation were also conducted to adjust the model. Two experiments of ADLs task; the touching nose and moving object was conducted and simulated using the model. The simulation results showed that the muscle force values for the selected muscles (deltoid interior, pectoralis major, and teres major) were reduced during the simulated ADLs tasks when wearing the assistive device.","PeriodicalId":406112,"journal":{"name":"2023 15th International Conference on Computer and Automation Engineering (ICCAE)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123180135","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
Development, Implementation and Control of Active Compliance on Servo Motors in Robotics Applications 机器人应用中伺服电机主动顺应性的开发、实现与控制
2023 15th International Conference on Computer and Automation Engineering (ICCAE) Pub Date : 2023-03-03 DOI: 10.1109/ICCAE56788.2023.10111245
Noureldeen M. Zaki, Mohamed S. Kamel, Mohamed A. ElSheshtawy, Reda ElHakim, W. Omran
{"title":"Development, Implementation and Control of Active Compliance on Servo Motors in Robotics Applications","authors":"Noureldeen M. Zaki, Mohamed S. Kamel, Mohamed A. ElSheshtawy, Reda ElHakim, W. Omran","doi":"10.1109/ICCAE56788.2023.10111245","DOIUrl":"https://doi.org/10.1109/ICCAE56788.2023.10111245","url":null,"abstract":"Servo motors provide numerous benefits in robotic applications. They are small, powerful and easy to program. This paper aims to design an electronic driver for a DC servo motor for compliance usage to the human robot interaction and obstacles avoidance. The General and main aim is to Design an electronic driver for DC servo motor for compliance usage for the human robot interaction (HRI) and obstacles interaction. Firstly the main objective is to model a servo motor and to develop a full functioning standing alone software to provide compliance control. The driver must be capable of controlling the output torque (Force control Active Compliance) of the motor by setting a desired torque. Also Implementing a C library for the driver to make the end user-to-user experience able to attach the driver for any compliance robotic application.","PeriodicalId":406112,"journal":{"name":"2023 15th International Conference on Computer and Automation Engineering (ICCAE)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128836972","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
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