2023 IEEE International Conference on Electro Information Technology (eIT)最新文献_第4页

Divide-and-Conquer Algorithms for Computing Three-Dimensional Voronoi Diagrams 计算三维Voronoi图的分治算法

2023 IEEE International Conference on Electro Information Technology (eIT) Pub Date : 2023-05-18 DOI: 10.1109/eIT57321.2023.10187378

Daniel Dietsche, T. E. Dettling, C. Trefftz, Byron DeVries

引用次数: 0

A Heuristic for Multiple Heterogeneous Mobile Robots Task Assignment under Various Loading Conditions considering Workload Balance 考虑工作负载平衡的多异构移动机器人任务分配启发式算法

2023 IEEE International Conference on Electro Information Technology (eIT) Pub Date : 2023-05-18 DOI: 10.1109/eIT57321.2023.10187290

Zongguang Liu, Myoungkuk Park, J. Bae

{"title":"A Heuristic for Multiple Heterogeneous Mobile Robots Task Assignment under Various Loading Conditions considering Workload Balance","authors":"Zongguang Liu, Myoungkuk Park, J. Bae","doi":"10.1109/eIT57321.2023.10187290","DOIUrl":"https://doi.org/10.1109/eIT57321.2023.10187290","url":null,"abstract":"This paper proposes a heuristic that optimizes the task completion time for heterogeneous multi-robot systems operating in various real-world applications such as transportation, surveillance, and monitoring. Focusing on transportation missions in manufacturing or warehouse environments, the heuristic aims to find a tour for each robot that departs from distinctive depots completes all assigned tasks, and returns to the depot while minimizing the last task completion time. Building on previous work, the newly developed algorithm can solve more generalized problems, which involve required minimum payload restrictions on each task. The heterogeneous multi-robot systems consist of robots with different average running speeds and maximum payloads. The proposed heuristic considers workload balancing between the robots to provide a feasible solution satisfying all constraints. To validate the approach, the algorithm is tested repeatedly in simulation, varying problem sizes. The results show that the heuristic produces good-quality solutions within a reasonable computation time, demonstrating the potential for real-time implementation. Performance metrics used for evaluation include the objective function value and computation time.","PeriodicalId":113717,"journal":{"name":"2023 IEEE International Conference on Electro Information Technology (eIT)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123439401","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

Cybersecurity Risk in Digitalization of Infrastructure Systems: A Use Case 基础设施系统数字化中的网络安全风险:一个用例

2023 IEEE International Conference on Electro Information Technology (eIT) Pub Date : 2023-05-18 DOI: 10.1109/eIT57321.2023.10187348

D. Möller, H. Vakilzadian

{"title":"Cybersecurity Risk in Digitalization of Infrastructure Systems: A Use Case","authors":"D. Möller, H. Vakilzadian","doi":"10.1109/eIT57321.2023.10187348","DOIUrl":"https://doi.org/10.1109/eIT57321.2023.10187348","url":null,"abstract":"The increasing number and effectiveness of cyber-attacks and data breaches adversely affect infrastructure systems by exploiting their vulnerabilities. Cyber-attacks on critical infrastructure sometimes undermine safe operations or cause complete shutdowns. Therefore, identifying and evaluating the actual status of infrastructure system processes for critical assets in advance requires analyzing the actual cybersecurity status to protect them from potential cyber-attacks and data breaches. So far, the information deficit about cybersecurity awareness in the infrastructure systems sector exists. International studies are more broadly designed, but not directly focused on gaining detailed knowledge about cybersecurity defense's status quo in the infrastructure system sector. Therefore, strategic steps are required to secure the infrastructure systems against cyber-attacks and vulnerabilities. This includes developing and implementing procedures to improve cyber-attack detection and eliminate system vulnerabilities. In this regard, a maturity level model as a specific analysis method of the actual cybersecurity status of the infrastructure system is introduced to gain knowledge about how to achieve the desired to-be-cybersecurity status against the actual status, as a best practice example is provided for a rail system. This paper describes the cybersecurity risk of digitization in the railway sector as a use case.","PeriodicalId":113717,"journal":{"name":"2023 IEEE International Conference on Electro Information Technology (eIT)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126284390","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

Optimal Allocation of EV Charging Stations to Support Vast Internal Combustion Engine Vehicle Replacement 支持大规模内燃机汽车更换的电动汽车充电站优化配置

2023 IEEE International Conference on Electro Information Technology (eIT) Pub Date : 2023-05-18 DOI: 10.1109/eIT57321.2023.10187340

Md Shahin Alam, Il-Seop Shin, S. A. Arefifar

{"title":"Optimal Allocation of EV Charging Stations to Support Vast Internal Combustion Engine Vehicle Replacement","authors":"Md Shahin Alam, Il-Seop Shin, S. A. Arefifar","doi":"10.1109/eIT57321.2023.10187340","DOIUrl":"https://doi.org/10.1109/eIT57321.2023.10187340","url":null,"abstract":"Global warming has become a serious issue throughout the entire world. It is mainly caused by environmental pollution from burning fossil fuels. According to the California Air Resources Board, transportation is the state's single largest source of global warming emissions and air pollution. The policymakers proposed a plan that 100% of new cars and light trucks sold in California would be zero-emission vehicles, such as electric vehicles (EVs), by 2035. In this scenario, finding optimal locations of EV charging stations (EVCSs) is highly manifested to support transition to EVs from internal combustion engine vehicles. EV integration into the existing power distribution system will help reduce not only environmental emissions but also operational costs for the utility companies, which leads to financial incentives for the EV owners and general public. This research presents ideas of identifying the optimal locations, finding appropriate charging capacities based on the types of vehicles, and improving operational performance of distribution systems. In addition, EVCSs can work in a hybrid manner where electricity is provided by utilities, solar energy, and energy storage units. By adopting the concept of microgrids, EV owners charge their vehicles during off-peak hours and unload the energy back to the grid during peak hours at higher prices. Utility companies utilize the energy to further reduce their dependency on fossil fuels to provide electricity. The PG&E 69-bus distribution system is used to find the optimal location of charging stations. The operational costs and emissions are evaluated to improve the operational performance.","PeriodicalId":113717,"journal":{"name":"2023 IEEE International Conference on Electro Information Technology (eIT)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133785170","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

Characterization of Inkjet-Printed Stacked MIM Thin-film Solid-State Flexible Super-Capacitor 喷墨印刷叠层MIM薄膜固态柔性超级电容器的特性研究

2023 IEEE International Conference on Electro Information Technology (eIT) Pub Date : 2023-05-18 DOI: 10.1109/eIT57321.2023.10187294

B. Morshed, Moriom R. Momota, Tomoko Fujiwara

{"title":"Characterization of Inkjet-Printed Stacked MIM Thin-film Solid-State Flexible Super-Capacitor","authors":"B. Morshed, Moriom R. Momota, Tomoko Fujiwara","doi":"10.1109/eIT57321.2023.10187294","DOIUrl":"https://doi.org/10.1109/eIT57321.2023.10187294","url":null,"abstract":"Electrical energy storage need has evolved to lightweight and portable devices such as electric vehicle, drones, robotics, wearables, etc. Current technology of batteries such as Li-Ion or Li-Poly are not able to meet the requirement for future. We have been developing a new type of supercapacitor for this technological barrier. Our supercapacitors are fabricated with inkjet-printing (IJP) technique that uses very precise MEMS based cartridge to print thin-films on planar substrates. We have previously demonstrated metal-insulator-metal (MIM) capacitor fabrication and simulation, as well as stacked MIM supercapacitor fabrication. In this paper, we present electrical characterization (such as charging-discharging cycles) and scanning electron microscopy image for IJP stacked MIM supercapacitor. The electrical characterization validates the charge storage capability of the supercapacitor. We have tested the samples for up to 20 V charging voltage. The corresponding stored charge can be as high as 40 nC, and the charge density is 17.4 $mathbf{C}/mathbf{m}^{3}$. These solid-state IJP stacked MIM supercapacitors are flexible with high energy-density and safe for prolonged use which can be applicable in electric vehicles, wearables, implantable, drones, and other energy storage applications.","PeriodicalId":113717,"journal":{"name":"2023 IEEE International Conference on Electro Information Technology (eIT)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134447943","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

Room Categorization utilizing Convolutional Neural Network on 2D map obtained by LiDAR 利用卷积神经网络对激光雷达获得的二维地图进行房间分类

2023 IEEE International Conference on Electro Information Technology (eIT) Pub Date : 2023-05-18 DOI: 10.1109/eIT57321.2023.10187383

Iman Yazdansepas, N. Houshangi

引用次数: 0

Design of an Integrated Weighted One Step Ahead and Fuzzy Yaw Controller for an Electric AWD Powertrain 电动AWD动力总成加权一步超前模糊偏航综合控制器设计

2023 IEEE International Conference on Electro Information Technology (eIT) Pub Date : 2023-05-18 DOI: 10.1109/eIT57321.2023.10187285

A. Ross, M. Das

引用次数: 0

Deep Learning Patch-Based Approach for Hyperspectral Image Classification 基于深度学习补丁的高光谱图像分类方法

2023 IEEE International Conference on Electro Information Technology (eIT) Pub Date : 2023-05-18 DOI: 10.1109/eIT57321.2023.10187387

Papia F. Rozario, E. Ruehmann, T. Pham, Tianqi Sun, Jacob Jensen, Hengrui Jia, Zhongyue Yu, Rahul Gomes

引用次数: 0

Modeling and Control of Torque Converter Clutch Using a Disturbance Observer based Tracking Controller 基于扰动观测器的变矩器离合器跟踪控制器建模与控制

2023 IEEE International Conference on Electro Information Technology (eIT) Pub Date : 2023-05-18 DOI: 10.1109/eIT57321.2023.10187311

Todd A. Perkins, M. Das

引用次数: 0

Classification Of Cancer Genome Atlas Glioblastoma Multiform (TCGA-GBM) Using Machine Learning Method 基于机器学习方法的肿瘤基因组图谱多形性胶质母细胞瘤(TCGA-GBM)分类

2023 IEEE International Conference on Electro Information Technology (eIT) Pub Date : 2023-05-18 DOI: 10.1109/eIT57321.2023.10187283

Rabia Emhamed Al Mamlook, Ahmad Nasayreh, Hasan Gharaibeh, Sujeet Shrestha

引用次数: 2