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

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Proposing Vietnamese Text Recognition Algorithm Combining CRAFT and VietOCR 结合CRAFT和VietOCR的越南文文本识别算法
2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2022-11-21 DOI: 10.1109/ICCAIS56082.2022.9990349
P. N. Huu, Thanh Tran Ngoc, Q. Minh
{"title":"Proposing Vietnamese Text Recognition Algorithm Combining CRAFT and VietOCR","authors":"P. N. Huu, Thanh Tran Ngoc, Q. Minh","doi":"10.1109/ICCAIS56082.2022.9990349","DOIUrl":"https://doi.org/10.1109/ICCAIS56082.2022.9990349","url":null,"abstract":"Letter recognition based on artificial neural networks is currently achieving promising results. In this paper, we propose a method that combines character-region awareness for text detection (CRAFT) and VietOCR to recognize letters and Vietnamese texts effectively based on finding characters in words and affinity among them. The algorithm uses the tool to crop each character to put it into VietOCR to recognize letters. The results show that the algorithm achieves an accuracy of 89.84% with 10 epochs. We find that the proposed method has accuracy and execution time depending on the variety of input data based on the obtained results.","PeriodicalId":273404,"journal":{"name":"2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"30 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":"129842168","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
Impacts of high Solar Inverter Integration on Performance of FLIRS Function: Case Study for Danang Distribution Network 太阳能逆变器高集成度对FLIRS功能性能的影响——以岘港配电网为例
2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2022-11-21 DOI: 10.1109/ICCAIS56082.2022.9990451
T. Hoang, Q. Tran, Hoai Son Le, Hoang Nhan Nguyen, M. Q. Duong
{"title":"Impacts of high Solar Inverter Integration on Performance of FLIRS Function: Case Study for Danang Distribution Network","authors":"T. Hoang, Q. Tran, Hoai Son Le, Hoang Nhan Nguyen, M. Q. Duong","doi":"10.1109/ICCAIS56082.2022.9990451","DOIUrl":"https://doi.org/10.1109/ICCAIS56082.2022.9990451","url":null,"abstract":"The increasing integration of distributed energy resources (DERs), especially renewable sources such as photo-voltaic (PV) systems, into distribution networks has presented several challenges to the fault location, isolation, and restoration service (FLIRS) integrated in their distribution automation system (DAS). While majority of studies reported paid attention on the issues related to knowledge- or impedance-based fault location, others only adopted simplified PV models which cannot ensure accurate presentation of actual PV fault behaviors. This paper, therefore, aims at conducting an extensive investigation on impacts of PV increased integration on the performance of the existing FLIRS. Since Danang Power Company has recently put in operation a commercial advanced FLIRS function integrated with its DAS system, considering the extremely rapid and high integration of PV systems into its medium-voltage (MV) distribution network, one of its typical highly PV-penetrated MV feeders is adopted for the study. All the network components relevant to the study are simulated with high details in the software environment PowerFactory/DIgSILENT. A total of 2700 fault scenarios is performed for the investigation purpose.","PeriodicalId":273404,"journal":{"name":"2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"28 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":"128039707","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: 2
Performance Analysis and Experiment of Data Transmission Rate of LEDs in Optical Camera Communication for Indoor Positioning System 室内定位系统光学摄像机通信中led数据传输率的性能分析与实验
2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2022-11-21 DOI: 10.1109/ICCAIS56082.2022.9990269
N. Nguyen, L. Pham-Nguyen, Hue Nguyen Thi, Son Nguyen Viet, Huong Nguyen Thi Lan, Hong Hoang Si
{"title":"Performance Analysis and Experiment of Data Transmission Rate of LEDs in Optical Camera Communication for Indoor Positioning System","authors":"N. Nguyen, L. Pham-Nguyen, Hue Nguyen Thi, Son Nguyen Viet, Huong Nguyen Thi Lan, Hong Hoang Si","doi":"10.1109/ICCAIS56082.2022.9990269","DOIUrl":"https://doi.org/10.1109/ICCAIS56082.2022.9990269","url":null,"abstract":"Optical Camera Communication (OCC) delivers data from LEDs to the camera. Artificial lighting, such as LED lights and cameras, are widely available, so OCC will benefit from these current infrastructures. The parameters of the camera that affect the OCC system’s data rate will be discussed in this article. In addition, an experimental system for measuring data transmission based on distance and angle is proposed.","PeriodicalId":273404,"journal":{"name":"2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"77 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":"124945133","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
An Improved Robust Estimation Method for GNSS/SINS under GNSS-Challenged Environment GNSS挑战环境下改进的GNSS/SINS鲁棒估计方法
2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2022-11-21 DOI: 10.1109/ICCAIS56082.2022.9990513
Junwei Wang, Xiyuan Chen, Chunfeng Shi, Jianguo Liu
{"title":"An Improved Robust Estimation Method for GNSS/SINS under GNSS-Challenged Environment","authors":"Junwei Wang, Xiyuan Chen, Chunfeng Shi, Jianguo Liu","doi":"10.1109/ICCAIS56082.2022.9990513","DOIUrl":"https://doi.org/10.1109/ICCAIS56082.2022.9990513","url":null,"abstract":"The outlier measurement affects the accurate estimation effect of tightly coupled global navigation satellite system (GNSS) and strapdown inertial navigation system (SINS) integrated navigation parameters under GNSS-challenged environment. To improve the convergence speed and robustness of nonlinear filter used in tightly coupled GNSS/INS under GNSS-challenged environment, an iterated cubature Kalman filter (CKF) based on the improved robust estimation method is proposed. Firstly, the mind of nonlinear least squares regression is included into CKF framework, and multiple iterations are used to improve the convergence speed of the filter and the error compensation effect. Then, a simplified iterated update structure is developed to reduce the computational cost for integrated navigation system. Moreover, the Geman McClure (GM) loss function is introduced to reduce the weight of outlier measurement, which improves the robust estimation ability of the filter. The field experiment indicates that the proposed method has better compensation effect than traditional methods on navigation errors in the case of frequent signal outages.","PeriodicalId":273404,"journal":{"name":"2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"12 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":"122768713","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 Prediction System for the Effect of Electrical Defibrillation Based on Efficient Combinations for Feature Parameters 基于特征参数有效组合的电除颤效果预测系统
2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2022-11-21 DOI: 10.1109/ICCAIS56082.2022.9990403
Yuta Yoshikawa, Takayuki Okai, H. Oya, Y. Hoshi, K. Nakano
{"title":"A Prediction System for the Effect of Electrical Defibrillation Based on Efficient Combinations for Feature Parameters","authors":"Yuta Yoshikawa, Takayuki Okai, H. Oya, Y. Hoshi, K. Nakano","doi":"10.1109/ICCAIS56082.2022.9990403","DOIUrl":"https://doi.org/10.1109/ICCAIS56082.2022.9990403","url":null,"abstract":"In this paper, we propose a prediction system of the effect of electrical defibrillation for shockable arrhythmias. In order to develop the proposed prediction system, ECGs are firstly analyzed by Gabor wavelet transform, Poincare plot and spectral entropy, and feature parameters are extracted by these analysis results. Moreover, the imbalanced data are corrected by using SMOTE (Synthetic Minority Over-sampling TEchnique), and we adopt Pearson’s χ2 test so as to evaluate the efficient feature parameters. Finally, by using selected feature parameters, support vector machines (SVM) based on three kernels (Linear, Gaussian, and Polynomial) are constructed, and the effectiveness of the prediction system is presented.","PeriodicalId":273404,"journal":{"name":"2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"13 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":"129676829","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
Multisensor Data Fusion for Reliable Obstacle Avoidance 可靠避障的多传感器数据融合
2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2022-11-21 DOI: 10.1109/ICCAIS56082.2022.9990495
Thanh Nguyen Canh, T. Nguyen, Cong Hoang Quach, Xiem HoangVan, Manh Duong Phung
{"title":"Multisensor Data Fusion for Reliable Obstacle Avoidance","authors":"Thanh Nguyen Canh, T. Nguyen, Cong Hoang Quach, Xiem HoangVan, Manh Duong Phung","doi":"10.1109/ICCAIS56082.2022.9990495","DOIUrl":"https://doi.org/10.1109/ICCAIS56082.2022.9990495","url":null,"abstract":"In this work, we propose a new approach that combines data from multiple sensors for reliable obstacle avoidance. The sensors include two depth cameras and a LiDAR arranged so that they can capture the whole 3D area in front of the robot and a 2D slide around it. To fuse the data from these sensors, we first use an external camera as a reference to combine data from two depth cameras. A projection technique is then introduced to convert the 3D point cloud data of the cameras to its 2D correspondence. An obstacle avoidance algorithm is then developed based on the dynamic window approach. A number of experiments have been conducted to evaluate our proposed approach. The results show that the robot can effectively avoid static and dynamic obstacles of different shapes and sizes in different environments.","PeriodicalId":273404,"journal":{"name":"2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"108 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":"121864753","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
An Adaptive Multi-Sensor Generalised Labelled Multi-Bernoulli Filter for Linear Gaussian Models 线性高斯模型的自适应多传感器广义标记多伯努利滤波器
2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2022-11-21 DOI: 10.1109/ICCAIS56082.2022.9990549
Tran Thien Dat Nguyen, Cong-Thanh Do, Hoa Van Nguyen
{"title":"An Adaptive Multi-Sensor Generalised Labelled Multi-Bernoulli Filter for Linear Gaussian Models","authors":"Tran Thien Dat Nguyen, Cong-Thanh Do, Hoa Van Nguyen","doi":"10.1109/ICCAIS56082.2022.9990549","DOIUrl":"https://doi.org/10.1109/ICCAIS56082.2022.9990549","url":null,"abstract":"Recent development of the multi-sensor generalised labelled multi-Bernoulli (MS-GLMB) tracking algorithm allows joint estimation of target trajectories adjunct to clutter rate and detection probability. Nevertheless, it requires prior knowledge of new birth target distribution which might not be available in certain tracking scenarios. Conversely, another algorithm has been proposed to handle unknown birth statistics using multi-sensor measurement and a Gibbs sampler, but not be able to estimate clutter rate and detection probability. In this paper, we propose a multi-sensor multi-target tracking algorithm to handle unknown clutter rate, detection profile, and statistics of new birth targets. Our algorithm assumes linear Gaussian property on the dynamic and measurement models for closed-form analytic computation. Experiment with a 3-D tracking scenario demonstrates the robustness of our algorithm.","PeriodicalId":273404,"journal":{"name":"2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"110 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":"122512251","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
Decentralized Multi-Bernoulli Multitarget Tracking Using Multistatic Doppler-Only Measurements 基于多静态多普勒测量的分散多伯努利多目标跟踪
2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2022-11-21 DOI: 10.1109/ICCAIS56082.2022.9990119
Benru Yu, Hong Gu, W. Su, Tiancheng Li
{"title":"Decentralized Multi-Bernoulli Multitarget Tracking Using Multistatic Doppler-Only Measurements","authors":"Benru Yu, Hong Gu, W. Su, Tiancheng Li","doi":"10.1109/ICCAIS56082.2022.9990119","DOIUrl":"https://doi.org/10.1109/ICCAIS56082.2022.9990119","url":null,"abstract":"This paper proposes a decentralized multi-Bernoulli filter for multitarget tracking over a network of separately located Doppler sensors, in which each sensor exchanges its received measurements and posterior estimates with partially selected neighbors via one-iteration-only diffusion. The selection of an optimal neighbor subset for each sensor is formulated as a partially observable Markov decision process with the probability ratio of nonexistence to existence of targets being the cost function. In particular, the locally collected measurements and posteriors are handled by the particle-based iterated-corrector multi-Bernoulli filter and Gaussian-mixture-based arithmetic average fusion, respectively. The validity of the proposed filter is verified via computer simulations.","PeriodicalId":273404,"journal":{"name":"2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"15 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":"133635498","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 Robust Lidar SLAM System Based on Multi-Sensor Fusion 基于多传感器融合的鲁棒激光雷达SLAM系统
2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2022-11-21 DOI: 10.1109/ICCAIS56082.2022.9990085
Fubin Zhang, Bingshuo Zhang, Chenghao Sun
{"title":"A Robust Lidar SLAM System Based on Multi-Sensor Fusion","authors":"Fubin Zhang, Bingshuo Zhang, Chenghao Sun","doi":"10.1109/ICCAIS56082.2022.9990085","DOIUrl":"https://doi.org/10.1109/ICCAIS56082.2022.9990085","url":null,"abstract":"In this paper, we propose a LiDAR-based multi-sensor fusion SLAM system that integrates magnetometer, odometer and IMU information to solve the problem of accuracy degradation of lidar SLAM algorithm in scenes with insufficient structural features. In the lidar odometer part, based on the feature-based point cloud matching algorithm, magnetometer and odometer constraints are introduced to improve the robustness of the algorithm. At the back end, we constructed a factor graph for the global pose optimization, and added the measurement information of each sensor into the factor graph as a factor, so as to realize the nonlinear optimization of the pose and IMU bias. Experimental results show that the proposed algorithm has good robustness and accuracy, and is superior to LeGO-LOAM algorithm in positioning error.","PeriodicalId":273404,"journal":{"name":"2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"18 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":"134513558","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
Disturbance-Observer based Reinforcement Learning for Overhead Crane Systems 基于扰动观测器的桥式起重机系统强化学习
2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2022-11-21 DOI: 10.1109/ICCAIS56082.2022.9990215
Thanh Tung Bui, Thanh Trung Cao, Trong Hieu Nguyen, D. Le, Huy Hoang Dao, P. Dao
{"title":"Disturbance-Observer based Reinforcement Learning for Overhead Crane Systems","authors":"Thanh Tung Bui, Thanh Trung Cao, Trong Hieu Nguyen, D. Le, Huy Hoang Dao, P. Dao","doi":"10.1109/ICCAIS56082.2022.9990215","DOIUrl":"https://doi.org/10.1109/ICCAIS56082.2022.9990215","url":null,"abstract":"In this work, a disturbance-observer based reinforcement learning control scheme is presented for the overhead crane system. First, the approximate/adaptive dynamic programming (ADP) method is applied to obtain the solution of a discounted optimal control problem. Here, we use only one neural network as a critic network. The weights of this network are updated iteratively using a novel updating rule law. A disturbance-observer is then designed to compensate the effect of the unknown input disturbance, therefore improve the robustness of the system. The convergence of each module as well as the stability of the whole closed-loop system is guaranteed by proving rigorously. Finally, numerical simulations are given to illustrate the effectiveness of the proposed method.","PeriodicalId":273404,"journal":{"name":"2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"7 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":"124062019","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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