Vuong Quang Huy, Nguyen Tan Huy, Pham Bach Duong, Nam Truong Ngoc Hai
{"title":"Design and Develop Optimal Pathfinding Algorithm Applied in Book Accessing and Returning for Autonomous Mobile Robot in Library","authors":"Vuong Quang Huy, Nguyen Tan Huy, Pham Bach Duong, Nam Truong Ngoc Hai","doi":"10.1109/GTSD54989.2022.9989272","DOIUrl":"https://doi.org/10.1109/GTSD54989.2022.9989272","url":null,"abstract":"This paper presents a visual optimal pathfinding algorithm that avoids obstacles on the way to the destination in a simulation environment, and the idea took inspiration from the optimization for solving the Traveling Salesman Problem. Firstly, using a webcam to scan the book information by QR code to know where the book's location is, what is the type of the books and use location information to send to robots for autonomous navigation duty. After that, the order list of books borrowed or returned is calculated and visualized using the K-means Clustering and Genetic algorithm. Then, to apply the optimal algorithms for a practical situation, Robot Operating System (ROS) is considered. In the ROS platform, to make sure the robots operate precisely, parameters of global, local cost maps and algorithms for global, local planners need to be adjusted. The robots will follow the order calculated path and announce when arriving at the book's location successfully. To track if the robots work correctly, a software for users to observe robot operation is created. The proposed algorithm works quite well in a simulation environment through implementing experiments. It is also a good foundation for further research into another autonomous field.","PeriodicalId":125445,"journal":{"name":"2022 6th International Conference on Green Technology and Sustainable Development (GTSD)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126241691","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}
{"title":"Designing the Robot Arms for Upper Limb Recovery Movements of Post-Stroke Patients","authors":"Khanh T. K. Nguyen, Hoang Dung Nguyen","doi":"10.1109/GTSD54989.2022.9989183","DOIUrl":"https://doi.org/10.1109/GTSD54989.2022.9989183","url":null,"abstract":"Strokes are one of the top dangerous diseases leading to death. Post-stroke patients are a huge burden for both their relatives and social activities. And bimanual coordination activities and resistance forces play important roles in the recovery processes for post-stroke patients. Therefore, this paper proposes simple robotic arms assisting post-stroke patients in terms of their upper limb movement recovery. The robotic arms use the combination of in-phase or 90-degree patterns as bimanual exercises and linear springs as resistance agents for the patient's arms. Patients place their arms on each robot arm and conduct bimanual tasks while resistance forces are generated automatically by adjusting the device's spring lengths. The findings illustrated that both robotic arms are capable of following bimanual task motions and modifying the force by changing expected values on the computer. The amount of error force between the patient's arm and the device fluctuated around 2 newtons and the relative position of the two arms was roughly 10 degrees. This research results promise actual exercises to help post-stroke patients to recover their upper limb movements.","PeriodicalId":125445,"journal":{"name":"2022 6th International Conference on Green Technology and Sustainable Development (GTSD)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126848228","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}
{"title":"Robust Adaptive Neural Sliding Mode Method for Coupled-Tank System Intelligent Control","authors":"Nguyen Anh Tuan, N. Dat, Cao Van Kien, H. Anh","doi":"10.1109/GTSD54989.2022.9989211","DOIUrl":"https://doi.org/10.1109/GTSD54989.2022.9989211","url":null,"abstract":"This paper introduces an advanced adaptive neural sliding mode controller (ANSMC) applied for precisely tracking control the liquid level of the coupled tank system. The controlled plant is a highly nonlinear time-delayed system which contains the uncertainties such as noise measurement, disturbances of output valves, etc. The proposed ANSMC controller includes a combined neural sliding mode controller permitting to generate adaptive learning rule which can adaptively estimate the plant parameters and compensate the uncertainties of the plant regardless of the knowledge concerning the controlled plant information. The effectiveness of the proposed control scheme is convincingly proved through the simulation results applied for a highly nonlinear coupled tank system.","PeriodicalId":125445,"journal":{"name":"2022 6th International Conference on Green Technology and Sustainable Development (GTSD)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126976895","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}
Vũ Hải Quân, Le Tuan Long, N. Ngọc, Nguyen Minh Tien
{"title":"A Comparison of the Performance of Anti-Lock Braking System (ABS) Using Fuzzy and PID Controllers","authors":"Vũ Hải Quân, Le Tuan Long, N. Ngọc, Nguyen Minh Tien","doi":"10.1109/GTSD54989.2022.9989135","DOIUrl":"https://doi.org/10.1109/GTSD54989.2022.9989135","url":null,"abstract":"Anti-lock braking system (ABS) is an active safety system equipped on vehicles as a mandatory standard for modern cars today. The system detects that the wheel is locked and will adjust the brake pressure to prevent the wheel from locking. The main objective of ABS control is to provide the required braking torque value to achieve optimum wheel slip speed. This paper analyzes the working mechanism of the ABS braking system, builds a physical model ¼ and applies Matlab - Simulink software to simulate the dynamics of the braking system. The research results of the article compared and evaluated the performance of the ABS braking system when using two different control algorithms, Fuzzy and PID. Based on the analysis of simulation results, it shows that controlling vehicle speed and wheel angular speed with Fuzzy Logic controller will give better performance than PID controller on both criteria of reducing stopping distance and the required braking time.","PeriodicalId":125445,"journal":{"name":"2022 6th International Conference on Green Technology and Sustainable Development (GTSD)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134214580","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}
Do Duc Tri, Trần Vĩnh Thanh, Hồ Anh Khoa, Nguyen Phan Thanh, N. Thoi
{"title":"New PWM Strategy for Quasi-Z-Source Three-Level T-Type Inverter with Inductor Current Ripple Reduction","authors":"Do Duc Tri, Trần Vĩnh Thanh, Hồ Anh Khoa, Nguyen Phan Thanh, N. Thoi","doi":"10.1109/GTSD54989.2022.9989092","DOIUrl":"https://doi.org/10.1109/GTSD54989.2022.9989092","url":null,"abstract":"The topology of a three-level quasi Z-source T Type inverter (qZST2I) is presented in this paper. This circuit is combined with two symmetrical quasi-Z source networks with T-type inverter to operate a shoot-through (ST) mode, in which both power switches in the same leg can be switched on at the same time, is avoided. A new pulse-width modulated (PWM) control method is used to reduce the ripple of input inductor current by the technique of shifting the reference signal and duty cycle (D), the total shoot-through time remains constant. The simulation and experimental results demonstrate the efficiency of the 3L-qZST2I inverter topology and control methods.","PeriodicalId":125445,"journal":{"name":"2022 6th International Conference on Green Technology and Sustainable Development (GTSD)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123811332","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}
{"title":"A Convolutional Neural Network with The VGG-16 Model for Classifying Human Brain Tumor","authors":"Duc-Dung Vo, Ba-Viet Ngo, Truong-Duy Nguyen, Thanh-Hai Nguyen, Thanh-Nghia Nguyen","doi":"10.1109/GTSD54989.2022.9989206","DOIUrl":"https://doi.org/10.1109/GTSD54989.2022.9989206","url":null,"abstract":"Brain cancer is one of the most dangerous diseases if it is not detected early. In recent years, AI technology has been increasingly applied in many different fields, including the medical field. For the purpose of supporting doctors in diagnosis and treatment, this paper proposes a Convolutional Neural Network (CNN) architecture with the VGG-16 model to classify brain tumors. In particular, adjusting the learning rate, sorting, and dividing the appropriate data sets are performed in the classification system to increase the classification performance. The experimental results of the classifier with the VGG-16 model gave an accuracy of 97.3%, with 3000 MRI images, in which there is 50% of the tumor images. For the accuracy evaluation, a confusion matrix is applied to illustrate the effectiveness of the proposed approach. This research can develop for the application to many types of different brain problems with a large number of images.","PeriodicalId":125445,"journal":{"name":"2022 6th International Conference on Green Technology and Sustainable Development (GTSD)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115306718","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}
{"title":"Identification modeling and Steering Controller Design for Unmanned Surface Vehicles","authors":"Tu-Cuong Nguyen","doi":"10.1109/GTSD54989.2022.9989095","DOIUrl":"https://doi.org/10.1109/GTSD54989.2022.9989095","url":null,"abstract":"With the continuous advancement of science and technology, many unmanned surface vehicles (USVs) are being developed for many different applications: military, environmental, mapping… So the steering (heading) control is for unmanned surface vehicles important research designed for motion control. It is not only about handling and ship stabilization, but also the basics of trajectory tracking and obstacle avoidance. During the USV research, mathematical models of steering control were critical to explaining vehicle behavior and stability. Therefore, this paper introduces two contents related to USV steering control, namely model identification and steering control design. For this purpose, the Nomoto model is chosen as the recognition model. These defined offline Nomoto models can serve a variety of purposes: simulation purposes or offline control algorithms… First, experiments are performed to collect experimental data (zigzag tests…), then prediction error identification methods are used to identify Nomoto model parameters, such as recursive least squares (RLS). To verify the recognition accuracy and model results, a sliding mode controller (SMC) was designed based on the established model. Finally, the simulation and experimental results show that the sliding mode controller and integrated line-of-sight guidance (ILOS) have good control effects, proving their feasibility and stability. All of this shows the correctness and practical value of the established model, and on this basis, advanced control algorithms, trajectory tracking, obstacle avoidance… are developed for USV.","PeriodicalId":125445,"journal":{"name":"2022 6th International Conference on Green Technology and Sustainable Development (GTSD)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115972458","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}
Thanh True Vo Thi, Minh Tai Le, Lam Son Cao, Quoc Thien Truong
{"title":"A Control Algorithm for Automated Guided Vehicle in Logistics System","authors":"Thanh True Vo Thi, Minh Tai Le, Lam Son Cao, Quoc Thien Truong","doi":"10.1109/GTSD54989.2022.9989227","DOIUrl":"https://doi.org/10.1109/GTSD54989.2022.9989227","url":null,"abstract":"Today, the global trend is to build automation systems and constantly upgrade for comprehensive development. Building a warehouse management system and automatic goods transportation in the logistics system is also a goal that is gradually becoming popular. With the great advancement of automation technology, AGV vehicles are also being developed and operated to replace the usual transport, towing, and pushing jobs. This paper focuses on the control logic of the AGV vehicle in the warehouse system. More specifically, using an algorithm to come up with a plan to optimize the distance and travel time. Thereby reducing costs for the warehouse system. At the same time affirming the importance of artificial intelligence in the 4.0 revolution era.","PeriodicalId":125445,"journal":{"name":"2022 6th International Conference on Green Technology and Sustainable Development (GTSD)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129478103","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}
{"title":"A Method to Develop Web-Based Performance Estimation for Grid-Connected Photovoltaic Systems: A Case Study in Dong Nai Province, Vietnam","authors":"L. Truong","doi":"10.1109/GTSD54989.2022.9989235","DOIUrl":"https://doi.org/10.1109/GTSD54989.2022.9989235","url":null,"abstract":"This article presents a method to develop a web-based performance estimation for grid-connected photovoltaic system in Vietnam. It's called PVcall. The solar radiation data and simulation models are linked to the web interface. In addition, a yield model of a web-based performance model based on the parameters of the commercial PV module (PV) and the performance rate (PR) was developed. All data including solar radiation, PV parameters and PR were input into the yield model to estimate the final yield of a photovoltaic system. In addition, the solar radiation and the final yield of the PV system are visually displayed in the form of a dashboard in the web interface. The result also shows the number of PV modules and areas required for the installed system. In addition, the accuracy of the system has been proven by comparing it with the commercial software.","PeriodicalId":125445,"journal":{"name":"2022 6th International Conference on Green Technology and Sustainable Development (GTSD)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129492796","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}
{"title":"FCMD-Net: A Full-Connection Multi-Decoder Network for Polyp Segmentation","authors":"Q. Nguyen, Thi-Thao Tran, Van-Truong Pham","doi":"10.1109/GTSD54989.2022.9989317","DOIUrl":"https://doi.org/10.1109/GTSD54989.2022.9989317","url":null,"abstract":"Colorectal cancer is ranked 4th in the list of leading causes of death after lung, stomach, and liver cancers. Most colorectal cancers arise from growths in the mucosa of the colon called polyps. Therefore, early detection of polyps can help to faster monitor and treat for both patients and doctors. This requires an automatic, accurate, efficient, and reliable polyp segmentation system. Currently, U-shape architectures have shown promising performance with developments and advancements in encoder and decoder designs as well as skip connection solutions. However, existing skip connection approaches face some problems such as plenty of redundant information, or lack of generality causing to weakening of feature maps. To handle this challenge, we propose a new architecture namely Full-Connection Multi-Decoder Network (FCMD-Net) for the polyp segmentation task. First, we design a new model, using an encoder and three decoder branches to take advantage of multi-path information to increase inference speed and produce a better prediction mask. Besides, we create a skip connection method called full-connection to reduce effectively the semantic gap between two components encoder and decoder. In addition, we inherit and flexibly apply Atrous Spatial Pyramidal Pooling blocks to increase the performance of the model. The results on the Kvaisir-Seg dataset and CVC-ClinicDB dataset demonstrate that FCMD-Net has advantages over state of the art methods in the benchmark.","PeriodicalId":125445,"journal":{"name":"2022 6th International Conference on Green Technology and Sustainable Development (GTSD)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129873548","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}