2022 6th International Conference on Green Technology and Sustainable Development (GTSD)最新文献_第4页

Developing a Decentralized Wastewater Treatment System using Modular Plasma at Atmospheric Pressure 常压下模块化等离子体分散式污水处理系统的开发

2022 6th International Conference on Green Technology and Sustainable Development (GTSD) Pub Date : 2022-07-29 DOI: 10.1109/GTSD54989.2022.9989238

T. Dam

{"title":"Developing a Decentralized Wastewater Treatment System using Modular Plasma at Atmospheric Pressure","authors":"T. Dam","doi":"10.1109/GTSD54989.2022.9989238","DOIUrl":"https://doi.org/10.1109/GTSD54989.2022.9989238","url":null,"abstract":"The water pollution from the local restaurants and hotels in many tourist cities is currently being warned. The disadvantages of using centralized wastewater plants are expensive, environmental impact, and high energy consumption. Moreover, a large-scale plant in rural areas risks on a long pipe, high bump capacity and high initial capital investment. Furthermore, the conventional treatment methods have low treatment efficiency, and unstable and high maintenance and operation cost because of using combined physical-chemical, and microbiological systems. In this study, a decentralized wastewater system using modular plasma at atmospheric pressure integrated with a distributed control system was developed to solve the real problem in the big cities. The wastewater's properties of a tourist city, Sam Son, are determined to evaluate the upstream wastewater. A decentralized treatment system, 10m3 /day, was installed in a hotel to evaluate the treatment efficiency. The results showed that the untreated wastewater was seriously polluted including inorganic and organic; the properties are higher than 1.8 to 8.8 times compared to the permitting standard. And the quality of treated water was reduced to 70-90% and reached QCVN 14:2008 in column A. An alert platform for monitoring the location, capacity, and quality of treated water was modeled. In conclusion, the system is high efficiency, low cost, and environmentally friendly.","PeriodicalId":125445,"journal":{"name":"2022 6th International Conference on Green Technology and Sustainable Development (GTSD)","volume":"43 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":"133577843","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

Key Information Extraction from Mobile-Captured Vietnamese Receipt Images using Graph Neural Networks Approach 基于图神经网络的越南移动接收图像关键信息提取

2022 6th International Conference on Green Technology and Sustainable Development (GTSD) Pub Date : 2022-07-29 DOI: 10.1109/GTSD54989.2022.9989111

Van Dung Pham, L. Nguyen, Nhat Truong Pham, Bao Hung Nguyen, Due Ngoe Minh Dang, Sy Dzung Nguyen

{"title":"Key Information Extraction from Mobile-Captured Vietnamese Receipt Images using Graph Neural Networks Approach","authors":"Van Dung Pham, L. Nguyen, Nhat Truong Pham, Bao Hung Nguyen, Due Ngoe Minh Dang, Sy Dzung Nguyen","doi":"10.1109/GTSD54989.2022.9989111","DOIUrl":"https://doi.org/10.1109/GTSD54989.2022.9989111","url":null,"abstract":"Information extraction and retrieval are growing fields that have a significant role in document parser and analysis systems. Researches and applications developed in recent years show the numerous difficulties and obstacles in extracting key information from documents. Thanks to the raising of graph theory and deep learning, graph representation and graph learning have been widely applied in information extraction to obtain more exact results. In this paper, we propose a solution upon graph neural networks (GNN) for key information extraction (KIE) that aims to extract the key information from mobile-captured Vietnamese receipt images. Firstly, the images are pre-processed using U2-Net, and then a CRAFT model is used to detect texts from the pre-processed images. Next, the implemented TransformerOCR model is employed for text recognition. Finally, a GNN-based model is designed to extract the key information based on the recognized texts. For validating the effectiveness of the proposed solution, the publicly available dataset released from the Mobile-Captured Receipt Recognition (MC-OCR) Challenge 2021 is used to train and evaluate. The experimental results indicate that our proposed solution achieves a character error rate (CER) score of 0.25 on the private test set, which is more comparable with all reported solutions in the MC-OCR Challenge 2021 as mentioned in the literature. For reproducing and knowledge-sharing purposes, our implementation of the proposed solution is publicly available at https://github.com/ThorPhamlKey_infomation_extraction.","PeriodicalId":125445,"journal":{"name":"2022 6th International Conference on Green Technology and Sustainable Development (GTSD)","volume":"50 12","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114119831","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

Remapping the EFI in Automotive Engine Control Unit Using Piggy-Back ECU 用背接式ECU重新映射汽车发动机控制单元的电喷

2022 6th International Conference on Green Technology and Sustainable Development (GTSD) Pub Date : 2022-07-29 DOI: 10.1109/GTSD54989.2022.9989252

Phu Thuong, Luu Nguyen

{"title":"Remapping the EFI in Automotive Engine Control Unit Using Piggy-Back ECU","authors":"Phu Thuong, Luu Nguyen","doi":"10.1109/GTSD54989.2022.9989252","DOIUrl":"https://doi.org/10.1109/GTSD54989.2022.9989252","url":null,"abstract":"Electronic fuel injection (EFI) is a complex system where many parts are connected together, from mechanical parts to electronic parts, to control the internal combustion engine. It must ensure many different things, and the most important thing in motorsport to achieve is power optimization. High power and engine responsiveness are often desired to gain a competitive edge. Usually, motorsport enthusiasts will upgrade the car's standard with aftermarket components such as higher-rated turbos, longer-duration camshafts, and exhaust systems. These are difficult to approach, time-consuming, and expensive tasks compared to the ECU calibration method. In Vietnam, most customers who want to change the performance of their vehicle use the remapping method on the factory ECU. By using the vehicle performance regulation method with a piggy-back ECU, it is easier for the user to adjust than the popular remap method. With advantages such as low cost and easy installation. And currently, there are very few documents describing and evaluating the effectiveness of piggy-back ECUs installed in vehicles. So in this paper, experimental remapping of the electronic fuel injection system with a piggy-back ECU was performed, and then we simulated the control algorithms of the electronic fuel injection system on LabView and compared the results with the experiment. This was based on a simulation model of the EFI system's operation algorithm, with many cases in various load engines and engine speeds. Simulation results are used to evaluate the algorithm on the piggy-back ECU.","PeriodicalId":125445,"journal":{"name":"2022 6th International Conference on Green Technology and Sustainable Development (GTSD)","volume":"43 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":"116340420","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 Speed Control With Disturbance Rejection for Surface-mounted Permanent Magnet Synchronous Motor 面贴式永磁同步电动机的鲁棒抗扰速度控制

2022 6th International Conference on Green Technology and Sustainable Development (GTSD) Pub Date : 2022-07-29 DOI: 10.1109/GTSD54989.2022.9989278

T. Le, M. Hsieh, Minh-Tam Nguyen

引用次数: 0

Lane Keeping and Navigation of a Self-driving RC Car Based on Image Semantic Segmentation and GPS Fusion 基于图像语义分割和GPS融合的自动驾驶RC汽车车道保持与导航

2022 6th International Conference on Green Technology and Sustainable Development (GTSD) Pub Date : 2022-07-29 DOI: 10.1109/GTSD54989.2022.9989054

Hoang-Hai-Nam Nguyen, Duy-Hung Pham, Trung-Linh Le, M. Le

引用次数: 0

The General Carrier-based PWM Implementation based on Space Vector Analysis for Three-phase Three-level T-type NPC Inverter 基于空间矢量分析的通用载波PWM三相三电平t型NPC逆变器实现

2022 6th International Conference on Green Technology and Sustainable Development (GTSD) Pub Date : 2022-07-29 DOI: 10.1109/GTSD54989.2022.9988757

N. Tuyen, Vo Van Minh, Le An Nhuan, Do Ngoc Phat, Truong Phuoc Hoa, Nguyen Duc Hung

引用次数: 0

Manufacturing Machine to Test Speed and Power of Electric Motors for Electric Motorcycles 电动摩托车用电机速度与功率测试试验机

2022 6th International Conference on Green Technology and Sustainable Development (GTSD) Pub Date : 2022-07-29 DOI: 10.1109/GTSD54989.2022.9989212

Ngo Tan Thong, Bui Văn Ga, Pham Quoc Thai, Bui Thi Minh Tu, Huynh Thi Tam Thuong, Nguyen Le Chau Thanh, Tran Le Nhat Hoang

引用次数: 0

Improving the performance and stability of the self-pumping enzymatic biofuel cell via employing CC-CNT/PEI[PCA/GOx]/Na 利用CC-CNT/PEI[PCA/GOx]/Na提高自泵酶生物燃料电池的性能和稳定性

2022 6th International Conference on Green Technology and Sustainable Development (GTSD) Pub Date : 2022-07-29 DOI: 10.1109/GTSD54989.2022.9989311

Ngoc Bich Duong, Van Men Truong, Shu-Ching Yang, Hsiharng Yang

{"title":"Improving the performance and stability of the self-pumping enzymatic biofuel cell via employing CC-CNT/PEI[PCA/GOx]/Na","authors":"Ngoc Bich Duong, Van Men Truong, Shu-Ching Yang, Hsiharng Yang","doi":"10.1109/GTSD54989.2022.9989311","DOIUrl":"https://doi.org/10.1109/GTSD54989.2022.9989311","url":null,"abstract":"The self-pumping enzymatic biofuel cell (self-pumping EBC) has recently attracted much attention in fuel cell technology due to its distinct feature in enabling automatic fuel delivery as well as employing the enzyme as a catalyst, rather than precious metal to oxidize the fuel. The self-pumping EBC driven by a capillary force of micro-fluidic channel plate empowers an alternative to implantable applications. In this regard, our group demonstrates that the new biocatalyst anodic electrode of CC-CNT/PEI[PCA/GOx]/Nafion can enhance a stability of the enzyme immobilization on the surfaces of conductive carbon cloth. The experimental results show that the self-pumping EBC using CC-CNT/PEI[PCA/GOx]/Na via PCA/GOx combined with CNT/PEI with the addition of Nafion solution as a bio-anodic electrode has a better performance. The self-pumping EBC using CC-CNT/PEI[PCA/GOx]/Na can produce the highest power density of around 2.3 mWcm-2 and remain stable at 85% of its initial value after 10 working days. Such an improvement can be ascribed to the formation of Nafion polymer firm to prevent the exfoliation of GOx enzyme as well as the formation of π-conjugated bonds that are beneficial for electron transfer pathways and π-hydrogen bonds recently activated by the PCA/GOx composite for enhancing stability.","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":"128876834","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

Stable Walking Gait Design for 5-links Underactuated Planar Biped Robot 五连杆欠驱动平面双足机器人稳定行走步态设计

2022 6th International Conference on Green Technology and Sustainable Development (GTSD) Pub Date : 2022-07-29 DOI: 10.1109/GTSD54989.2022.9989190

T. Nguyen

引用次数: 0

Remote Monitoring and Health Diagnosis of Distribution Transformers Based Lora Apply to Rural Areas of Vietnam 基于Lora的配电变压器远程监测与健康诊断在越南农村的应用

2022 6th International Conference on Green Technology and Sustainable Development (GTSD) Pub Date : 2022-07-29 DOI: 10.1109/GTSD54989.2022.9989322

Tran Ngoc Huy Thinh, Nguyen Huu Chau Minh, Lam Hoang Cat Tien, Ly Phuc Lac

引用次数: 0