2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS)最新文献

Computed Tomography Image of Lung: A Visualization Enhancement Approach Based on Unsharp Marking and Thresholded Local Intensity Area Descriptor 肺计算机断层图像:基于非锐化标记和阈值局部强度区域描述符的可视化增强方法

2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2022-11-21 DOI: 10.1109/ICCAIS56082.2022.9990411

Chi-Kien Tran, Tsair-Fwu Lee, Trong-The Nguyen, Duc-Tinh Pham

{"title":"Computed Tomography Image of Lung: A Visualization Enhancement Approach Based on Unsharp Marking and Thresholded Local Intensity Area Descriptor","authors":"Chi-Kien Tran, Tsair-Fwu Lee, Trong-The Nguyen, Duc-Tinh Pham","doi":"10.1109/ICCAIS56082.2022.9990411","DOIUrl":"https://doi.org/10.1109/ICCAIS56082.2022.9990411","url":null,"abstract":"Viewing improvement is an important step in lung computed tomography (CT) image analysis. It assists to make diagnosis more accurate. In this paper, a new viewing improvement method for lung CT images is introduced. The proposed method consists of two stages. In the first stage, the image was deblurred and sharpened using the unsharp masking method. In the second stage, pre-processed image was enhanced the viewing by a modified method, thresholded local intensity area descriptor. The experiments were conducted on lung CT images from the LIDC-IDRI database. For the viewing improvement evaluation, our method was evaluated subjectively and quantitatively by five different measures of enhancement: Absolute mean brightness error, Edge content, Entropy, Peak signal-to-noise ratio, and Tenengrad criterion. The results clearly indicated that our approach was better than eight contrast enhancement methods. The proposed approach not only improved the contrast of the lung CT images, but also retained information essential for clinical diagnosis. Thus, it is expected to assist in improving the accuracy of diagnosis by physicians and computer-aided detection/diagnosis systems.","PeriodicalId":273404,"journal":{"name":"2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115646964","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

Static Scheduling Optimization for Outdoor Monitoring Sensor Networks based on Customizable Nodes 基于可定制节点的室外监控传感器网络静态调度优化

2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2022-11-21 DOI: 10.1109/ICCAIS56082.2022.9990359

Van-Phuong Ha, T. Dao, Minh-Hoang Le, N. Pham, Viet-Tung Nguyen, Dinh-Van Nguyen

引用次数: 0

Prediction of Anomalous Variation in GaN-based Chemical Sensors 氮化镓基化学传感器异常变化的预测

2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2022-11-21 DOI: 10.1109/ICCAIS56082.2022.9990542

Jeremy Gillbanks, G. Umana-Membreno, M. Myers, B. Nener, G. Parish

引用次数: 0

A quadratic correlation algorithm with variable sets of lags for frequency estimation 频率估计中具有可变滞后集的二次相关算法

2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2022-11-21 DOI: 10.1109/ICCAIS56082.2022.9990547

Yan Xu, Huiyue Yi, Wuxiong Zhang, Hui Xu

{"title":"A quadratic correlation algorithm with variable sets of lags for frequency estimation","authors":"Yan Xu, Huiyue Yi, Wuxiong Zhang, Hui Xu","doi":"10.1109/ICCAIS56082.2022.9990547","DOIUrl":"https://doi.org/10.1109/ICCAIS56082.2022.9990547","url":null,"abstract":"The range resolution is a critical element for accurately detecting an object in the frequency modulated continuous wave (FMCW) radar system. However, the efficacy of existing correlation-based range estimate algorithms suffers dramatically under the low signal-to-noise ratio (SNR). A quadratic correlation algorithm with variable sets of lags is proposed to improve the estimation accuracy in order to overcome this challenge. The time translation parameter is varied in the proposed method to reduce noise influence, and a method for selecting the lag sequence sets is proposed to reduce computing complexity. Firstly, a variable time translation parameter is utilized to extract two signal segments from the received signal. Then, the autocorrelation function of the first signal segment along with the cross-correlation function of the two signal segments are obtained, and the quadratic correlation of the above two correlation functions is calculated for a lag sequence set with an initial lag step. Moreover, the expression for the frequency estimation as well as the range estimation is derived, and the mean and standard deviation of range estimation can be statistically obtained from the range estimates. Finally, if the standard deviation of the range estimation is above the prefixed standard deviation threshold, the lag step is modified and the above range estimation process is repeated; otherwise, the range estimation is obtained. The simulation results show that the proposed quadratic correlation algorithm with variable sets of lags outperforms existing approaches in terms of range accuracy.","PeriodicalId":273404,"journal":{"name":"2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"15 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114774869","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

PV array Fault Classification based on Machine Learning 基于机器学习的光伏阵列故障分类

2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2022-11-21 DOI: 10.1109/ICCAIS56082.2022.9990272

Nguyen Quoc Minh, Dominik Mai, Ha Huy Phuc Nguyen

引用次数: 0

Development of Estimation Systems of Calving Time Based on Time-Frequency Analysis for Ventral Tail Base Surface Temperature 基于时频分析的腹尾基面温度产犊时间估算系统的开发

2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2022-11-21 DOI: 10.1109/ICCAIS56082.2022.9990234

Tatsuya Komatsu, Kansei Matsumoto, R. Miura, H. Oya, Y. Hoshi

引用次数: 0

Prescribed Tracking Performace for Lateral Control of an Autonomous Vehicle with High-Gain Observer 具有高增益观测器的自动驾驶车辆横向控制的规定跟踪性能

2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2022-11-21 DOI: 10.1109/ICCAIS56082.2022.9990307

Nhu Toan Nguyen, Duc Thinh Le, Van Trong Dang, V. Pham, D. H. Nguyen, D. C. Hoang, Tung Lam Nguyen

{"title":"Prescribed Tracking Performace for Lateral Control of an Autonomous Vehicle with High-Gain Observer","authors":"Nhu Toan Nguyen, Duc Thinh Le, Van Trong Dang, V. Pham, D. H. Nguyen, D. C. Hoang, Tung Lam Nguyen","doi":"10.1109/ICCAIS56082.2022.9990307","DOIUrl":"https://doi.org/10.1109/ICCAIS56082.2022.9990307","url":null,"abstract":"This paper presents a prescribed performance sliding mode approach (PPSMC) with a high-gain state observer for the double lane change maneuver of the autonomous vehicle. The proposed control method forces the tracking error to be bounded within a predefined region with a specific convergence rate, hence avoiding the overshoot phenomenon whenever the curvature of the desired path changes. Using the performance function, the original constrained tracking error is transformed into an equivalent unconstrained quantity, and the control signal is then constructed based on this transformed error. In addition, in practice, measuring precisely the entire state of the vehicle is generally demanding, especially the lateral velocity. Hence, the high-gain observer is introduced to estimate the full state of the system, which is then synthesized to the control signal. The stability of the closed-loop system is analyzed by means of the Lyapunov theory. The numerical simulations are carried out using the high-fidelity simulator Carsim and Matlab/Simulink to illustrate the effectiveness and validity of the proposed approach.","PeriodicalId":273404,"journal":{"name":"2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115787064","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

Robust Human Pose Quality Assessment Using Optimal Sub-Pattern Assignment 基于最优子模式分配的鲁棒人体姿态质量评估

2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2022-11-21 DOI: 10.1109/ICCAIS56082.2022.9990031

Yun Zhu, Shuang Liang, Peng Li, Xiaojun Wu

引用次数: 0

Distributed coordination of power generation and transmission for an energy network 能源网络中发电和输电的分布式协调

2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2022-11-21 DOI: 10.1109/ICCAIS56082.2022.9990105

Viet Hoang Pham, H. M. Nguyen, H. Ahn

{"title":"Distributed coordination of power generation and transmission for an energy network","authors":"Viet Hoang Pham, H. M. Nguyen, H. Ahn","doi":"10.1109/ICCAIS56082.2022.9990105","DOIUrl":"https://doi.org/10.1109/ICCAIS56082.2022.9990105","url":null,"abstract":"This paper studies a modified economic dispatch problem (EDP) of an energy network when both power generation and transmission costs are taken into account. The considered network consists of power stations and energy consuming systems connecting via transmission lines. Due to the differences in generation costs and capacities of generators and the demand of consumers, it is highly required to have an optimal coordination in power generation distribution and power transmission. By assuming the cost functions have convex quadratic forms and applying Douglas–Rachford alternating direction method of multipliers (ADMM), we design a simple iteration update for each agent (corresponding to one power generators or one energy consumer systems) to determine the optimal power generation distribution (for generator nodes) and the optimal power transmitted to its neighbors in a distributed manner. The effectiveness of the proposed method is verified via numerical simulations for a modified IEEE 30-bus test network. We also remark that it can be used to solve the traditional EDP with a small modification in problem setup.","PeriodicalId":273404,"journal":{"name":"2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129713705","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 Multi-Frame Joint Tracking and Classification Method for Weak Target in Radar System 雷达系统弱目标多帧联合跟踪与分类方法

2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2022-11-21 DOI: 10.1109/ICCAIS56082.2022.9990283

W. Zhang, Kai Zeng, Chuan Zhu, Xingyue Long, Wei Yi

引用次数: 0