发布求助
文献互助 智能选刊 最新文献

2022 22nd International Conference on Control, Automation and Systems (ICCAS)最新文献

筛选
英文 中文
Development of identification based fuzzy supervisory control for pressure tank system 基于辨识的压力罐系统模糊监控研究
2022 22nd International Conference on Control, Automation and Systems (ICCAS) Pub Date : 2022-11-27 DOI: 10.23919/ICCAS55662.2022.10003818
Natcha Suwatanamala, N. Wongvanich
{"title":"Development of identification based fuzzy supervisory control for pressure tank system","authors":"Natcha Suwatanamala, N. Wongvanich","doi":"10.23919/ICCAS55662.2022.10003818","DOIUrl":"https://doi.org/10.23919/ICCAS55662.2022.10003818","url":null,"abstract":"This paper presents the development of identification based fuzzy supervisory control for application to pressure process. The system identification is carried out using an integral based method that reformulates the differentials with an integral, that provides robustness to noise. A theoretical analysis of the identification method is also provided. Pressure data was obtained through the use of a pressure guage which is connected to a workstation via a DAQ. The collected data was then identified using the developed identification algorithm. Appropriate PID gains are firstly selected by pole placement methodology, where they are later modified with fuzzy rules according to the desired responses. Results show that the designed fuzzy supervisory control outperformed the constant PID gains which was designed by pole placements.","PeriodicalId":129856,"journal":{"name":"2022 22nd International Conference on Control, Automation and Systems (ICCAS)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126338693","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
A Sensor-Based Study for Security Events Detection Systems On Board Autonomous Trains 基于传感器的自主列车安全事件检测系统研究
2022 22nd International Conference on Control, Automation and Systems (ICCAS) Pub Date : 2022-11-27 DOI: 10.23919/ICCAS55662.2022.10003694
C. Nicodeme
{"title":"A Sensor-Based Study for Security Events Detection Systems On Board Autonomous Trains","authors":"C. Nicodeme","doi":"10.23919/ICCAS55662.2022.10003694","DOIUrl":"https://doi.org/10.23919/ICCAS55662.2022.10003694","url":null,"abstract":"The Human wish for autonomy in vehicles goes back to the 15th century and has been the subject of numerous research. In the past decade in particular, the rise of Artificial Intelligence & Deep Learning has provided new efficient tools for self-driving transportation systems. Most of existing works focus on cars, while trains have attracted less attention. However, railway is the most interesting transportation mode in the optic of sustainability. Given the high number of passengers it may carry, an autonomous train must analyze even more accurately its environment. It must also recognize everything happening in its cars to ensure passengers security. The total absence of railway agents on-board fully autonomous trains brings requirements for a monitoring system. It would include sets of sensors for the acquisition, algorithms for analysis and telecommunication network to transfer either the data or its extracted information. Cameras are the first sensor that comes in mind as they would furnish images of the scenes, copying human vision. In addition, other signals such as sound and air composition may supply complementary or new information. The paper offers a review of sensors and their use through the scope of event detection, in the context of public transportation.","PeriodicalId":129856,"journal":{"name":"2022 22nd International Conference on Control, Automation and Systems (ICCAS)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126366476","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 Digital Twin Model-based CPS (Cyber Physical System) Design for Smart Factory 基于数字孪生模型的智能工厂网络物理系统优化设计
2022 22nd International Conference on Control, Automation and Systems (ICCAS) Pub Date : 2022-11-27 DOI: 10.23919/ICCAS55662.2022.10003709
Youngsung Kwon
{"title":"Optimal Digital Twin Model-based CPS (Cyber Physical System) Design for Smart Factory","authors":"Youngsung Kwon","doi":"10.23919/ICCAS55662.2022.10003709","DOIUrl":"https://doi.org/10.23919/ICCAS55662.2022.10003709","url":null,"abstract":"Recently, with the development of the Internet of Things and Artificial Intelligence technology, research and application cases that collect and analyze data in real-time in various fields such as manufacturing and smart city to optimize for real-world problems are increasing. Representatively, a virtual physical system or digital twin technology that supports real-time synchronization in both directions with the virtual world digitized from the real world is attracting attention. In this paper, we intend to design a system that defines a digital twin, operates with the same functions as real-world objects in a virtual environment and maintains and manages state information to compose virtual digital twin objects that are visible to users.","PeriodicalId":129856,"journal":{"name":"2022 22nd International Conference on Control, Automation and Systems (ICCAS)","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114200052","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
Cable Instance Segmentation with Synthetic Data Generation 基于合成数据生成的电缆实例分割
2022 22nd International Conference on Control, Automation and Systems (ICCAS) Pub Date : 2022-11-27 DOI: 10.23919/ICCAS55662.2022.10003680
Assefa Seyoum Wahd, Donghyun Kim, Seung-Ik Lee
{"title":"Cable Instance Segmentation with Synthetic Data Generation","authors":"Assefa Seyoum Wahd, Donghyun Kim, Seung-Ik Lee","doi":"10.23919/ICCAS55662.2022.10003680","DOIUrl":"https://doi.org/10.23919/ICCAS55662.2022.10003680","url":null,"abstract":"We propose a bottom-up approach for the instance segmentation of cables (commonly referred in the literature as deformable linear objects). While the state of the art instance segmentation techniques propose a bounding box and perform foreground segmentation within each proposed bounding box, we adopt a bottom-up approach as cables can span a considerable part of the image or even the entire image, and therefore, cannot be well localized in a bounding box. In this paper, we show that several operations in the top-down instance segmentation approaches are only applicable for certain classes (i.e., compact objects) such as cars but they are a poor approximation for objects with highly overlapping bounding boxes such as cables. In particular, the non-maximum suppression and RoIPool/RoIAlign operations limit the generalizability of proposal-based instance segmentation methods to such datasets. Furthermore, we introduce a synthetic data generation technique that can also be applied to other popular public datasets such as COCO, Pascal VOC, and Cityscapes.","PeriodicalId":129856,"journal":{"name":"2022 22nd International Conference on Control, Automation and Systems (ICCAS)","volume":"125 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115959709","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
A comparative survey on SAR image segmentation using deep learning 基于深度学习的SAR图像分割比较研究
2022 22nd International Conference on Control, Automation and Systems (ICCAS) Pub Date : 2022-11-27 DOI: 10.23919/ICCAS55662.2022.10003707
Ohtae Jang, Sangho Jo, Sungho Kim
{"title":"A comparative survey on SAR image segmentation using deep learning","authors":"Ohtae Jang, Sangho Jo, Sungho Kim","doi":"10.23919/ICCAS55662.2022.10003707","DOIUrl":"https://doi.org/10.23919/ICCAS55662.2022.10003707","url":null,"abstract":"Synthetic Aperture Radar (SAR) image is a radar system that observes topographic maps using microwaves as an active sensor. Due to the backscattering characteristics of SAR, speckle is distributed in the image, making it difficult to analyze. This paper investigates the classically used unsupervised method of SAR image segmentation that can easily recognize and analyze SAR images and the recently used deep learning algorithm, and compare the accuracy using performance metrics. Although the method using deep learning has the problem of insufficient dataset, it improves performance by 10-20% compared to unsupervised. Also, among deep learning algorithms, how the algorithms used in Electro Optical / Infrared (EO / IR) are used in SAR images and problems are investigated. In a recent study, the SAR image considered as a visible light image and applied it to a deep learning algorithm using eo to obtain results. In the future, more benchmark datasets for SAR images should be built, and research on deep learning algorithms using SAR data information will be conducted.","PeriodicalId":129856,"journal":{"name":"2022 22nd International Conference on Control, Automation and Systems (ICCAS)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116613418","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
Emergency Steering Collision Avoidance and Path Tracking System for City Bus Considering Yaw Response 考虑偏航响应的城市客车紧急转向避碰与路径跟踪系统
2022 22nd International Conference on Control, Automation and Systems (ICCAS) Pub Date : 2022-11-27 DOI: 10.23919/ICCAS55662.2022.10003941
Sangwon Han, Jaeun Ryu, Gihoon Kim, Jae-Mo Choi, K. Huh
{"title":"Emergency Steering Collision Avoidance and Path Tracking System for City Bus Considering Yaw Response","authors":"Sangwon Han, Jaeun Ryu, Gihoon Kim, Jae-Mo Choi, K. Huh","doi":"10.23919/ICCAS55662.2022.10003941","DOIUrl":"https://doi.org/10.23919/ICCAS55662.2022.10003941","url":null,"abstract":"As the autonomous driving expands to complex road environment, the importance of collision avoidance is emerging across industries and academia, and its application for passenger cars has been actively studied. Because the dynamic characteristics of low-floor buses are different from those of passenger cars, it is necessary to develop a corresponding collision avoidance and path tracking algorithms. In this paper, a novel Pure-Pursuit controller and collision avoidance trajectory planner considering vehicle stability for buses are proposed. First, in order to compensate for the shortcomings of the geometry-based Pure-Pursuit controller, yaw rate gain and yaw rate response analyzed from the actual vehicle data are considered to improve the stability of the bus. In addition, the Conditional Integration-Proportion Integral (CI-PI) controller is designed to reduce the effect of disturbances. Secondly, the trajectory planner is developed taking into account not only the surrounding object information, but also the dynamic limitation of the bus. A group of trajectory candidates including dynamic relation of the lateral motion is generated that satisfies path stability with pole-zero analysis. Then, an optimal trajectory is selected through the cost function which reflects the dynamic constraints. Finally, stability and performance of the proposed controller are verified through simulations and field tests.","PeriodicalId":129856,"journal":{"name":"2022 22nd International Conference on Control, Automation and Systems (ICCAS)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125014244","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: 1
A New Frequency Estimator with Dynamics That Are Independent of Input Amplitude and Its Application to Notch Filters 一种不依赖于输入幅值的动态频率估计器及其在陷波滤波器中的应用
2022 22nd International Conference on Control, Automation and Systems (ICCAS) Pub Date : 2022-11-27 DOI: 10.23919/ICCAS55662.2022.10003700
Young-Seok Kim, Tae-Ho Oh, Dae-Young Yang, Tae-Hoon Kim, Sang-Hoon Lee, D. Cho
{"title":"A New Frequency Estimator with Dynamics That Are Independent of Input Amplitude and Its Application to Notch Filters","authors":"Young-Seok Kim, Tae-Ho Oh, Dae-Young Yang, Tae-Hoon Kim, Sang-Hoon Lee, D. Cho","doi":"10.23919/ICCAS55662.2022.10003700","DOIUrl":"https://doi.org/10.23919/ICCAS55662.2022.10003700","url":null,"abstract":"This paper proposes a new frequency estimator (FE) and its application to a notch filter (NF). There are many well-known methods for estimating the frequency of a signal in both frequency and time domains. A previously reported time-domain FE was designed by rescaling the forcing signal term and achieved accurate estimation performance. However, the estimation speed was slow when the input signal is in a low-frequency range or when the input amplitude is small. An improved version was developed which decreased the dependency on the frequency. This paper presents a new FE to make the estimation speed less dependent on both the signal frequency and amplitude. The stability properties of the proposed FE are shown, using the averaging theorem under the assumption of slow adaptation. The performance of the proposed FE is also evaluated by both simulations and experiments, which show excellent performance in accuracy and speed in all conditions.","PeriodicalId":129856,"journal":{"name":"2022 22nd International Conference on Control, Automation and Systems (ICCAS)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122883020","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
Research Trend Analysis for EO-IR Image Registration EO-IR图像配准研究趋势分析
2022 22nd International Conference on Control, Automation and Systems (ICCAS) Pub Date : 2022-11-27 DOI: 10.23919/ICCAS55662.2022.10003711
Taeseok Lee, Sungho Kim
{"title":"Research Trend Analysis for EO-IR Image Registration","authors":"Taeseok Lee, Sungho Kim","doi":"10.23919/ICCAS55662.2022.10003711","DOIUrl":"https://doi.org/10.23919/ICCAS55662.2022.10003711","url":null,"abstract":"EO sensor and IR sensor have complementary characteristics. Therefore, registering two different sensors (especially EO-IR) to obtain accurate multi-images is an important part of many image-based applications such as surveillance and automatic target recognition (ATR). However, since images obtained from different sensors have significant differences in image content, an additional method is required to the existing registration technique. In general, there are classical techniques and deep learning techniques for multiple image registration techniques, and this paper introduces the techniques and development trends for them.","PeriodicalId":129856,"journal":{"name":"2022 22nd International Conference on Control, Automation and Systems (ICCAS)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128096737","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: 1
State of Charge Estimation Using Multi-layer Neural Networks Based On Temperature 基于温度的多层神经网络电荷状态估计
2022 22nd International Conference on Control, Automation and Systems (ICCAS) Pub Date : 2022-11-27 DOI: 10.23919/ICCAS55662.2022.10003902
Donghun Wang, Jonghyung Lee, Minchan Kim, Insoo Lee
{"title":"State of Charge Estimation Using Multi-layer Neural Networks Based On Temperature","authors":"Donghun Wang, Jonghyung Lee, Minchan Kim, Insoo Lee","doi":"10.23919/ICCAS55662.2022.10003902","DOIUrl":"https://doi.org/10.23919/ICCAS55662.2022.10003902","url":null,"abstract":"Lithium-ion batteries are generally used in electric vehicles, mobile phones, and lap-tops. Such batteries demonstrate advantages such as environmental-friendliness, high energy density, and long life. However, if not continuously monitored, battery overcharging and over-discharging may occur. Overcharging causes fire and explosion casualties, and overdischarging causes a reduction in the battery capacity and life. In addition, the internal resistance of such batteries varies depending on the external temperature of the batteries, and as the temperature decreases, the capacity of the batteries decreases as well. In this paper, we propose a method for estimating the state of charge (SOC) using a neural network model best suited for the external temperature of such batteries. Experimental data to verify the proposed method were obtained through a discharge experiment conducted using a vehicle-driving simulator. The experimental data were provided as inputs to multi-layer neural network (MNN). The MNN models were trained and optimized for specific temperatures measured during the experiment, and the SOC was estimated by selecting the most suitable model for a temperature. The experimental results revealed that such an estimation of the SOC was better than that using conventional methods.","PeriodicalId":129856,"journal":{"name":"2022 22nd International Conference on Control, Automation and Systems (ICCAS)","volume":"240 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133471146","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
Readiness Estimation for a Take-Over Request in Automated Driving on an Expressway 高速公路自动驾驶接管请求的准备度估计
2022 22nd International Conference on Control, Automation and Systems (ICCAS) Pub Date : 2022-11-27 DOI: 10.23919/ICCAS55662.2022.10003822
Ryohei Suzuki, H. Madokoro, Stephanie Nix, Kazuki Saruta, T. K. Saito, Kazuhito Sato
{"title":"Readiness Estimation for a Take-Over Request in Automated Driving on an Expressway","authors":"Ryohei Suzuki, H. Madokoro, Stephanie Nix, Kazuki Saruta, T. K. Saito, Kazuhito Sato","doi":"10.23919/ICCAS55662.2022.10003822","DOIUrl":"https://doi.org/10.23919/ICCAS55662.2022.10003822","url":null,"abstract":"Automated driving is attracting attention as a solution to road traffic problems. At Level3, a take-over request (TOR) is issued to transfer driving operations from the system to a driver when it is unable to continue. In such cases, the driver must be monitored to ensure a proper takeover of the driving operations. This study aims to measure drivers’ brain activity before and after the TOR by analyzing time-series signals of brain activity with machine learning algorithms. We developed driving scenarios with a TOR trigger on a rainy expressway at night. We used a portable functional near-infrared spectroscopy (fNIRS) device to measure cerebral blood oxygenation changes ($triangle$HbO) at the frontal pole. We used a long short-term memory (LSTM) network on this data for time-series learning and prediction after multivariate and multilayering modifications to improve accuracy. We conducted driving questionnaires beforehand and used two classification methods to categorize subjects into several groups with similar driving characteristics. Experimental results of a $triangle$HbO drop revealed that brain activity tended to decrease during automated driving. Moreover, success in obstacle avoidance and mean squared error (MSE) for each driver group demonstrated that the behavior toward an obstacle after the TOR trigger influenced changes in brain activity.","PeriodicalId":129856,"journal":{"name":"2022 22nd International Conference on Control, Automation and Systems (ICCAS)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131808592","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
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：604180095
Book学术官方微信