2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS)最新文献_第6页

Data-Driven Output Regulation of Uncertain 6 DOF AUV via Lagrange Interpolation 基于拉格朗日插值的不确定六自由度水下机器人数据驱动输出调节

2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2022-11-21 DOI: 10.1109/ICCAIS56082.2022.9990560

Dung Manh Do, D. Hoang, NamHoai Nguyen, P. D. Nguyen

引用次数: 0

Deployment of UAVs for Optimal Multihop Ad-hoc Networks Using Particle Swarm Optimization and Behavior-based Control 基于粒子群优化和行为控制的多跳自组织网络无人机部署

2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2022-11-21 DOI: 10.1109/ICCAIS56082.2022.9990164

Nga Bui Thi Thuy, D. N. Bui, Manh Duong Phung, Hung Pham Duy

引用次数: 2

Trans2Unet: Neural fusion for Nuclei Semantic Segmentation Trans2Unet:核语义分割的神经融合

2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2022-11-21 DOI: 10.1109/ICCAIS56082.2022.9990159

Dinh-Phu Tran, Quoc-Anh Nguyen, Van-Truong Pham, Thi-Thao Tran

{"title":"Trans2Unet: Neural fusion for Nuclei Semantic Segmentation","authors":"Dinh-Phu Tran, Quoc-Anh Nguyen, Van-Truong Pham, Thi-Thao Tran","doi":"10.1109/ICCAIS56082.2022.9990159","DOIUrl":"https://doi.org/10.1109/ICCAIS56082.2022.9990159","url":null,"abstract":"Nuclei segmentation, despite its fundamental role in histopathological image analysis, is still a challenge work. The main challenge of this task is the existence of overlapping areas, which makes separating independent nuclei more complicated. In this paper, we propose a new two-branch architecture by combining the Unet and TransUnet networks for nuclei segmentation task. In the proposed architecture, namely Trans2Unet, the input image is first sent into the Unet branch whose the last convolution layer is removed. This branch makes the network combine features from different spatial regions of the input image and localizes more precisely the regions of interest. The input image is also fed into the second branch. In the second branch, which is called TransUnet branch, the input image will be divided into patches of images. With Vision transformer (ViT) in architecture, TransUnet can serve as a powerful encoder for medical image segmentation tasks and enhance image details by recovering localized spatial information. To boost up Trans2Unet efficiency and performance, we proposed to infuse TransUnet with a computational-efficient variation called “Waterfall” Atrous Spatial Pooling with Skip Connection (WASP-KC) module, which is inspired by the “Waterfall” Atrous Spatial Pooling (WASP) module. Experiment results on the 2018 Data Science Bowl benchmark show the effectiveness and performance of the proposed architecture while compared with previous segmentation models.","PeriodicalId":273404,"journal":{"name":"2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"23 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":"126802535","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

Operating Temperature Systemic Management of a Fuel Cell System Considering the Impact on the Power Electronics Performances 考虑对电力电子性能影响的燃料电池系统工作温度系统管理

2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2022-11-21 DOI: 10.1109/ICCAIS56082.2022.9990266

T. V. Do, Pascal Messier, J. Trovão, L. Boulon

{"title":"Operating Temperature Systemic Management of a Fuel Cell System Considering the Impact on the Power Electronics Performances","authors":"T. V. Do, Pascal Messier, J. Trovão, L. Boulon","doi":"10.1109/ICCAIS56082.2022.9990266","DOIUrl":"https://doi.org/10.1109/ICCAIS56082.2022.9990266","url":null,"abstract":"For each fuel cell (FC) system design, a constant operating temperature is frequently chosen to maximize its efficiency. Nevertheless, the temperature variation leads to changing the FC output at a given power. This adjustment in the FC current and voltage impacts the power electronics performance, thus influencing the performance of the fuel cell hybrid electric vehicle (FC-HEV). Therefore, this paper investigates the performance of coupling the FC and power electronics to choose this operating temperature. Firstly, an operating temperature adjustment model of the Proton Exchange Membrane Fuel Cell (PEMFC) system is established. The efficiency of the powertrain based on an embedded highperformance active switched quasi-Z-Source inverter (HP-ASqZSI) at various FC operating voltages is secondly realized by theoretical analysis. Opal-RT-based real-time simulation is then performed to validate the performance of the FC-HEV system against various temperatures in terms of efficiency and hydrogen consumption. Simulation results indicate that increasing the FC operating temperature from 25°C to 60°C and 70°C results in an improved FC-HEV efficiency by 1.09% and 1.14%, respectively. Moreover, the average total hydrogen consumption of the FC system is also decreased by 21.23% and 29.34%, respectively over the lowest operating temperature under the studied Artemis driving cycle.","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":"133000362","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

Hands Tracking over Steering Wheel based on Multi-Bernoulli Filter Framework with Hand Landmarks Detector and Semantic Segmentation 基于多伯努利滤波框架的手部特征检测和语义分割的方向盘手部跟踪

2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2022-11-21 DOI: 10.1109/ICCAIS56082.2022.9990413

N. Ikoma

引用次数: 0

Wireless Smart Shoes for Running Gait Analysis Based on Deep Learning 基于深度学习的跑步步态分析无线智能鞋

2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2022-11-21 DOI: 10.1109/ICCAIS56082.2022.9990398

N. D. Thuan, Hoang Si Hong

引用次数: 1

Resilience of multi-object density fusion against cyber-attacks 多目标密度融合抵御网络攻击的弹性

2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2022-11-21 DOI: 10.1109/ICCAIS56082.2022.9990117

Lin Gao, G. Battistelli, L. Chisci

引用次数: 0

Implementation of a HITL-Enabled High Autonomy Drone Architecture on a Photo-Realistic Simulator 在逼真的模拟器上实现一个支持hitl的高自主无人机架构

2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2022-11-21 DOI: 10.1109/ICCAIS56082.2022.9990214

D. M. Huynh, A. Nguyen, H. Nguyen, H. Tran, Dung Daniel Ngo, J. Pestana, A. Q. Nguyen

{"title":"Implementation of a HITL-Enabled High Autonomy Drone Architecture on a Photo-Realistic Simulator","authors":"D. M. Huynh, A. Nguyen, H. Nguyen, H. Tran, Dung Daniel Ngo, J. Pestana, A. Q. Nguyen","doi":"10.1109/ICCAIS56082.2022.9990214","DOIUrl":"https://doi.org/10.1109/ICCAIS56082.2022.9990214","url":null,"abstract":"In the development process of Unmanned Aerial Vehicles (UAVs), researchers have to solve a lot of complex problems such as unreliable pose estimation, sensor errors, unknown and fast-changing environments, which require a lot of test trials. However, real-world testing of UAVs is expensive, time-consuming, and requires a pilot and careful testing of the correct integration of the hardware and software components. As a result, the usage of simulation tools presents itself as a promising alternative to real flight tests. Therefore, having a nearly photo-realistic, Hardware in the Loop (HITL) enabled and accurate simulation tool integrated with a popular autopilot board would be advantageous to the research community. We propose an implementation of a high autonomy drone navigation architecture integrated with the photo-realistic environment simulator Flightmare Renderer, the flight-dynamics simulator Gazebo and a popular autopilot board Pixhawk (PX4) controller to make a photo-realistic and accurate dynamic simulation for drones. By means of our simulation, we evaluate the drone system architecture by running a full set of algorithms required to achieve full autonomy, which includes visual-inertial pose estimation, mapping, path planning, obstacle avoidance, and control modules. That means each individual module and the whole system are tested and evaluated on the photo-realistic rendering and accurate flight-dynamics simulation environment. Thanks to the integration of the PX4 autopilot with HITL simulation, the progress from simulation flight to real flight experiments is easier and faster.","PeriodicalId":273404,"journal":{"name":"2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"26 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":"117158117","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

KPmixer-a ConvMixer-based Network for Finger Knuckle Print Recognition kpmixer -一种基于convmixer的指关节指纹识别网络

2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2022-11-21 DOI: 10.1109/ICCAIS56082.2022.9990402

Ngoc-Du Tran, H. Lê, Van-Truong Pham, Thi-Thao Tran

{"title":"KPmixer-a ConvMixer-based Network for Finger Knuckle Print Recognition","authors":"Ngoc-Du Tran, H. Lê, Van-Truong Pham, Thi-Thao Tran","doi":"10.1109/ICCAIS56082.2022.9990402","DOIUrl":"https://doi.org/10.1109/ICCAIS56082.2022.9990402","url":null,"abstract":"Biometric technology is increasingly popular and has many practical applications in our lives, such as fingerprint recognition, face recognition, iris recognition, etc. In biometrics based recognition technologies, finger knuckle print recognition (FKP) has received a lot of research attention recently. This method has many advantages compared to the others such as fingerprint recognition and iris recognition. Motivated by the advantages of FKR and advances of deep learning, this paper proposes a finger knuckle print recognition model, namely KPmixer. In particular, we modify the Convmixer model using variable-size kernels to reduce the number of parameters of the model and help the model mix spatial information at various distances. At the same time, we recommend the SE+ module to increase the accuracy of FKP recognition. Moreover, we propose to use a set of effective data augmentation methods for FKP recognition. The performance of the proposed model is compared with modern CNN models such as Convmixer, Resnet18, MobileNet, and DenseNet, showing an outstanding result in terms of accuracy.","PeriodicalId":273404,"journal":{"name":"2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"66 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":"123585228","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

Multi-Sensor Control for Jointly Searching and Tracking Multi-Target Using the Poisson Multi-Bernoulli Mixture Filter 基于泊松-伯努利混合滤波的多传感器联合搜索与跟踪控制

2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2022-11-21 DOI: 10.1109/ICCAIS56082.2022.9990345

Ke Chen, Lei Chai, Wei Yi

引用次数: 0