2022 6th International Conference on Green Technology and Sustainable Development (GTSD)最新文献_第3页

Reinforcement Learning-based Adaptive Fuzzy Controller for Coupled-Tank Liquid System Optimized by Advanced Jaya Algorithm 基于强化学习的先进Jaya算法优化的耦合罐液系统自适应模糊控制器

2022 6th International Conference on Green Technology and Sustainable Development (GTSD) Pub Date : 2022-07-29 DOI: 10.1109/GTSD54989.2022.9989152

Cao Van Kien, N. Dat, Nguyen Ngoc Son, Ho Pham Huy Anh

引用次数: 0

A Scheduled and Slotted MAC Protocol for Underwater Acoustic Networks 一种用于水声网络的定时和开槽MAC协议

2022 6th International Conference on Green Technology and Sustainable Development (GTSD) Pub Date : 2022-07-29 DOI: 10.1109/GTSD54989.2022.9989205

V. Dao, Phuong Thi Tuyet Nguyen, Thi-Bich-Nga Truong, Hoang-Minh Le, Thi-Tuyet-Dan Bui, Thi-Ngoc-Hieu Phu, Thi-Ngoc-Thu Vu

{"title":"A Scheduled and Slotted MAC Protocol for Underwater Acoustic Networks","authors":"V. Dao, Phuong Thi Tuyet Nguyen, Thi-Bich-Nga Truong, Hoang-Minh Le, Thi-Tuyet-Dan Bui, Thi-Ngoc-Hieu Phu, Thi-Ngoc-Thu Vu","doi":"10.1109/GTSD54989.2022.9989205","DOIUrl":"https://doi.org/10.1109/GTSD54989.2022.9989205","url":null,"abstract":"Unlike terrestrial wireless networks, which employ radio waves to communicate, underwater acoustic networks (UANs) employ acoustic waves to communicate. The long propagation delay and limited bandwidth of UANs pose great challenges for MAC protocol design. But the long propagation delay in underwater acoustic channel permits multiple packets to be “pipelined” concurrently in the underwater channel. To utilize this characteristic of underwater acoustic channel, we propose a slotted FAMA-based MAC protocol (slotted C-FAMA) for underwater acoustic networks in this paper. In this protocol, we use control packets (RTS; CTS, ACK and NACK) for handshaking and time-slotted based to allocate the time for each node to communicate. Every control packet is transmitted from the source node to the destination node at the beginning of each time-slot to avoid collision. The simulations show that the slotted C-FAMA is able to achieve high and stable throughput performance, and increase channel utilization while maintaining low collision rate.","PeriodicalId":125445,"journal":{"name":"2022 6th International Conference on Green Technology and Sustainable Development (GTSD)","volume":"7 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":"124405558","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 Study of Vision Transformer for Lung Diseases Classification 视觉变换器用于肺部疾病分类的研究

2022 6th International Conference on Green Technology and Sustainable Development (GTSD) Pub Date : 2022-07-29 DOI: 10.1109/GTSD54989.2022.9989100

M. Nguyen, Khai Ngo Quang

引用次数: 2

Vietnamese Scene Text Detection and Recognition using Deep Learning: An Empirical Study 使用深度学习的越南场景文本检测和识别:实证研究

2022 6th International Conference on Green Technology and Sustainable Development (GTSD) Pub Date : 2022-07-29 DOI: 10.1109/GTSD54989.2022.9989248

Nhat Truong Pham, Van Dung Pham, Qui Nguyen-Van, Bao Hung Nguyen, Duc Ngoc Minh Dang, Sy Dzung Nguyen

{"title":"Vietnamese Scene Text Detection and Recognition using Deep Learning: An Empirical Study","authors":"Nhat Truong Pham, Van Dung Pham, Qui Nguyen-Van, Bao Hung Nguyen, Duc Ngoc Minh Dang, Sy Dzung Nguyen","doi":"10.1109/GTSD54989.2022.9989248","DOIUrl":"https://doi.org/10.1109/GTSD54989.2022.9989248","url":null,"abstract":"Scene text detection and recognition are vital challenging tasks in computer vision, which are to detect and recognize sequences of texts in natural scenes. Recently, researchers have investigated a lot of state-of-the-art methods to improve the accuracy and efficiency of text detection and recognition. However, there has been little research on text detection and recognition in natural scenes in Vietnam. In this paper, a deep learning-based empirical investigation of Vietnamese scene text detection and recognition is presented. Firstly, four detection models including differentiable binarization network (DBN), pyramid mask text detector (PMTD), pixel aggregation network (PAN), and Fourier contour embedding network (FCEN), are employed to detect text regions from the images. Then, four text recognition models including convolutional recurrent neural network (CRNN), self-attention text recognition network (SATRN), no-recurrence sequence-to-sequence text recognizer (NRTR), and RobustScanner (RS) are also investigated to recognize the texts. Moreover, data augmentation methods are also applied to enrich data for improving the accuracy and enhancing the performance of scene text detection and recognition. To validate the effectiveness of scene text detection and recognition models, the VinText dataset is employed for evaluation. Empirical results show that PMTD and SATRN achieve the highest scores among the others for text detection and recognition, respectively. For knowledge-sharing, our implementation is publicly available at https://github.com/ThorPham/VN_scene_text_detection_recognition.","PeriodicalId":125445,"journal":{"name":"2022 6th International Conference on Green Technology and Sustainable Development (GTSD)","volume":"2023 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131549694","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

Design of a Smart Water Meter Module Integrated on a Traditional Mechanical Meter 集成在传统机械水表上的智能水表模块设计

2022 6th International Conference on Green Technology and Sustainable Development (GTSD) Pub Date : 2022-07-29 DOI: 10.1109/GTSD54989.2022.9988753

Nguyễn Hoài Phong, L. M. Phương, N. Tuyen, Pham Chi Dung, N. Huy

{"title":"Design of a Smart Water Meter Module Integrated on a Traditional Mechanical Meter","authors":"Nguyễn Hoài Phong, L. M. Phương, N. Tuyen, Pham Chi Dung, N. Huy","doi":"10.1109/GTSD54989.2022.9988753","DOIUrl":"https://doi.org/10.1109/GTSD54989.2022.9988753","url":null,"abstract":"Smart water metering is one of the important equipment of the smart cities where the information techniques and internet of things are combined and developed. In the field of water measurement, people use smart water meters to collect data remotely, detect fraudulent leaks, and warn of abnormal usage. Most designs use new smart water meters, instead integrated the smart module into old traditional water meters, this waste costs to invest in the new water meters. To overcome this problem, this paper proposes a design to integrate a smart wireless remote data module into the mechanical meter bases on the analysis of the traditional commonly mechanical water meter used in Vietnam. For smart water meters, the big problem is the smart water meter module must have low consumption energy. To solve this problem, this paper focuses on analyzing a LC sensor to replace the conventional Hall sensor. In addition, the paper proposed to use a low-power Lora network with high security for data transmission. To verify the proposed method, an experimental setup on Actaris and Itron water meter, where the testing process uses Hall sensor digital conversion technology for Actaris water meter and uses LC sensor for Itron water meter. The data transmission over the Lorawan network is used for both of two experimental setups. The results of both options show that the accuracy implemented in the laboratory is ~99.9%, packet loss rate <5%, RSSI signal loss >-100dBi, SNR noise < 10dB, consumption average energy < 50uA, capable of operating over 4 years with 3.7V/3600mAh battery. These results show that the proposed design is suitable for water meters with a testing cycle according to the terms of utility agencies in Vietnam.","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":"122964030","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

Study the Effect of Transmission Ratios on the Electric Motorbike's Performance through a Simulation Model 通过仿真模型研究了传动比对电动摩托车性能的影响

2022 6th International Conference on Green Technology and Sustainable Development (GTSD) Pub Date : 2022-07-29 DOI: 10.1109/GTSD54989.2022.9989036

N. Khoa, N. Kien, Nguyen Thanh Vinh, Chu Đức Hùng

引用次数: 0

A Solution to Enhance Operational Effectiveness of the Renewable Energy Sources and Power System Transmission Lines in Vietnam 提高越南可再生能源和电力系统输电线路运行效率的解决方案

2022 6th International Conference on Green Technology and Sustainable Development (GTSD) Pub Date : 2022-07-29 DOI: 10.1109/GTSD54989.2022.9989150

Tran Viet Thanh, Dinh Thanh Viet, Le Cao Quyen, Le Van Dai, Nguyen Trong Hieu

{"title":"A Solution to Enhance Operational Effectiveness of the Renewable Energy Sources and Power System Transmission Lines in Vietnam","authors":"Tran Viet Thanh, Dinh Thanh Viet, Le Cao Quyen, Le Van Dai, Nguyen Trong Hieu","doi":"10.1109/GTSD54989.2022.9989150","DOIUrl":"https://doi.org/10.1109/GTSD54989.2022.9989150","url":null,"abstract":"Power generation by renewable energy sources (RES) integrated into Vietnam's 220kV-500kV grid has increased dramatically in recent years. However, the increasing role of RES has led to overloading of the series capacitor banks connected to 500 kV transmission line, in several cases of operation in the power grid of the Central Highlands area. In practice, to prevent the series capacitor banks from overloading, the operator decreased the energy production from RES and consequently reduced the effectiveness of the RES (mainly from wind farms and solar farms). In this paper, the authors propose a method of controlling the Battery Energy Storage System (BESS) based on the short-term forecasting results for wind speed and solar radiation intensity to overcome this impediment without RES curtailment. The effectiveness of the proposed control strategy has been tested on the 500kV power grid in the Central Highlands area of Vietnam via quasi-dynamic analyses considering the load variation, wind speed and solar radiation intensity for 24 hours. This approach can be used to enhance the operational effectiveness of the RES as well as the power transmission lines, improving the stability of Vietnam's power system as a result.","PeriodicalId":125445,"journal":{"name":"2022 6th International Conference on Green Technology and Sustainable Development (GTSD)","volume":"12 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":"122788358","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

Design and Analysis of Patch Antenna with T-Shape DGS for Aircraft Surveillance Applications 飞机监视用t形DGS贴片天线的设计与分析

2022 6th International Conference on Green Technology and Sustainable Development (GTSD) Pub Date : 2022-07-29 DOI: 10.1109/GTSD54989.2022.9989196

M. Pallavi, Pramod Kumar, T. Ali, Satish B. Shenoy, Lokesh Sharma

{"title":"Design and Analysis of Patch Antenna with T-Shape DGS for Aircraft Surveillance Applications","authors":"M. Pallavi, Pramod Kumar, T. Ali, Satish B. Shenoy, Lokesh Sharma","doi":"10.1109/GTSD54989.2022.9989196","DOIUrl":"https://doi.org/10.1109/GTSD54989.2022.9989196","url":null,"abstract":"In this paper, an inset-fed rectangular microstrip patch antenna (RMPA) is designed for traffic alert and collision avoidance system (TCAS) application. The TCAS is a mandatory surveillance system installed on aircraft to prevent accidents. To improve the bandwidth of the conventional RMPA, a novel modified T-shape defect is etched on the ground surface. The High-Frequency Structure Simulator (HFSS) software is used to optimize and simulate the proposed structures. The general antenna parameters which include impedance, reflection coefficient, bandwidth, gain, VSWR, and radiation pattern have been simulated and analyzed for the proposed structure. The conventional RMPA resonates at 1.06GHz with a bandwidth of 13.10 MHz (1.0740-1.0609GHz), VSWR of 1.13, and a gain of 4.69dB, whereas the RMPA with defect operates at 1.05GHz with a bandwidth of 56.40 MHz (1.0821-1.0257GHz), VSWR of 1.74, and a gain of 3.68dB. In comparison to conventional RMPA, the proposed antenna with defected ground plane has improved the bandwidth by 43.30MHz. The gain of the antenna is reduced by nearly 1dB and the VSWR has slightly deviated. However, the obtained gain and VSWR are sufficient to meet the need for aircraft surveillance applications. In aviation surveillance systems, broader bandwidth is essential to improve channel capacity, airspace efficiency, and to broaden surveillance over a wider area. Hence, the proposed broadband antenna is optimum for the aircraft surveillance application (960 to 1215 MHz).","PeriodicalId":125445,"journal":{"name":"2022 6th International Conference on Green Technology and Sustainable Development (GTSD)","volume":"124 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":"131951254","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

Improved Particle Swarm Optimization-based Support Vector Machine for Fault Diagnostic of Arrester 基于改进粒子群优化的避雷器故障诊断支持向量机

2022 6th International Conference on Green Technology and Sustainable Development (GTSD) Pub Date : 2022-07-29 DOI: 10.1109/GTSD54989.2022.9989251

T. T. Hoang, Nguyen Anh Vu Le

{"title":"Improved Particle Swarm Optimization-based Support Vector Machine for Fault Diagnostic of Arrester","authors":"T. T. Hoang, Nguyen Anh Vu Le","doi":"10.1109/GTSD54989.2022.9989251","DOIUrl":"https://doi.org/10.1109/GTSD54989.2022.9989251","url":null,"abstract":"Arrester plays an important role in protecting equipment used in power system against overvoltage phenomena. Thus, diagnosic of arrester condition is attracting considerable attention from the researchers to ensure the safety and effectiveness of electric power distribution systems. In this paper, a newly perturbed particle swarm optimization (P-PSO) is proposed to classify the fault of surge arrester by adjusting the parameters of the support vector machine (SVM). The proposed method is employed on an actual dataset which consists of 1600 patterns with three features each (the total leakage current its resistive component and the third harmonic of resistive leakage current). The experimential ressults show that the proposed P-PSO is ability to not only accurate diagnostic arrester's faults, but also avoid the local minima. To demonstrate the superiority of the proposed method in identifying the conditions of the arrester, the obtained results are compared to those used by the other variants of PSO such as classical PSO (CPSO), time-varying acceleration coefficients PSO (TPSO) and constriction factor PSO (KPSO).","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":"130917795","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

Deep Learning Model Development for Detecting 22 kV Line-Post Insulator Faults 22kv线柱绝缘子故障检测的深度学习模型开发

2022 6th International Conference on Green Technology and Sustainable Development (GTSD) Pub Date : 2022-07-29 DOI: 10.1109/GTSD54989.2022.9989001

Sarun Kantapong, Tarapong Kanjanaparichat, Nat Songkram

引用次数: 0