2018 4th International Conference on Green Technology and Sustainable Development (GTSD)最新文献_第6页

Lossless Data Compression Algorithm to Save Energy in Wireless Sensor Network 无线传感器网络中节能的无损数据压缩算法

2018 4th International Conference on Green Technology and Sustainable Development (GTSD) Pub Date : 2018-11-01 DOI: 10.1109/GTSD.2018.8595614

Tuong Le, Minh-Huan Vo

{"title":"Lossless Data Compression Algorithm to Save Energy in Wireless Sensor Network","authors":"Tuong Le, Minh-Huan Vo","doi":"10.1109/GTSD.2018.8595614","DOIUrl":"https://doi.org/10.1109/GTSD.2018.8595614","url":null,"abstract":"In the Internet of Things system, including wireless sensor networks, energy savings are a matter of prime concern today. While electronic devices as well as software have been developed ceaselessly, the technology of battery development does not keep pace. Beside that each sensor node usually uses batteries for power, these sensors often cannot change or recharge in the usual way. In all the operations of a sensor node, wireless communication is the most energy consuming operations. So, in order to extend the life of the battery in the sensor node, we need to limit the transmission of information over the wireless network, however, we must also ensure that the sensor node transmits enough information about the host. We can do this by data compression. We have to choose an efficient and simple data compression algorithm because energy, memory and computational resources of sensor node are very limited. In this article, we adjust a lossless data compression algorithm to suit the wireless sensor network and meet the requirements set forth above. Accompanying that, with the best knowledge we have, we also offer a comparison of the efficiency of this algorithm with two well-known compression algorithms, namely bzip2 and gzip.","PeriodicalId":344653,"journal":{"name":"2018 4th International Conference on Green Technology and Sustainable Development (GTSD)","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128340988","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: 15

Application Ability and Development Orientation of Ecological Apartments in Ho Chi Minh City 胡志明市生态公寓的应用能力与发展方向

2018 4th International Conference on Green Technology and Sustainable Development (GTSD) Pub Date : 2018-11-01 DOI: 10.1109/GTSD.2018.8595518

H. Hoang

引用次数: 0

Navigating Self-Driving Vehicles Using Convolutional Neural Network 使用卷积神经网络为自动驾驶汽车导航

2018 4th International Conference on Green Technology and Sustainable Development (GTSD) Pub Date : 2018-11-01 DOI: 10.1109/GTSD.2018.8595533

Minh-Thien Duong, Truong-Dong Do, M. Le

{"title":"Navigating Self-Driving Vehicles Using Convolutional Neural Network","authors":"Minh-Thien Duong, Truong-Dong Do, M. Le","doi":"10.1109/GTSD.2018.8595533","DOIUrl":"https://doi.org/10.1109/GTSD.2018.8595533","url":null,"abstract":"In this paper, a method for navigation of self-driving vehicles is proposed. Although the research for this problem has been performed for several years, we noticed that the elevated accuracy results have not been achieved yet. Therefore, the method using a convolutional neural network (CNN) for training and simulation of unmanned vehicle model on the UDACITY platform has been made. Details, we used three cameras mounted in front of a vehicle to follow three directions were left, right and center position to collect data. The data are the images that captured from three cameras. The number of samples image is 15504. In this research, the label with two parameters are the steering angle and speed from each image would also be created. After collecting the data, these parameters will be achieved by training CNN used to navigate the vehicle. With the combination of three cameras, the accuracy of this navigation task is improved significantly. When vehicle deviates to the left, we will compute the error of the steering angle value between the middle and left position. Afterward, the steering angle value will be adjusted to control the vehicle could run in the center of the lane. Similarly, in the case when vehicles deviate to the right. Based on the simulation platform of UDACITY, we simulated and obtained the result with accuracy was 98, 23%.","PeriodicalId":344653,"journal":{"name":"2018 4th International Conference on Green Technology and Sustainable Development (GTSD)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130915750","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: 23

Research on Heat Exchanger between Water with Air in an Intercooler Based on CFD 基于CFD的中冷器中水与空气换热研究

2018 4th International Conference on Green Technology and Sustainable Development (GTSD) Pub Date : 2018-11-01 DOI: 10.1109/GTSD.2018.8595568

Cuong Duong Quoc, T. L. Dinh, Thang Dao Trong

引用次数: 1

Effects of Infill, Infill Patterns and Number of Perimeter Shells on Casting Patterns Fabricated Using FDM Method 填充、填充样式和周壳数对FDM法铸造模的影响

2018 4th International Conference on Green Technology and Sustainable Development (GTSD) Pub Date : 2018-11-01 DOI: 10.1109/GTSD.2018.8595703

N. H. Huu, Duc Tran Cong Toan, T. Huu, H. T. T. Thu

{"title":"Effects of Infill, Infill Patterns and Number of Perimeter Shells on Casting Patterns Fabricated Using FDM Method","authors":"N. H. Huu, Duc Tran Cong Toan, T. Huu, H. T. T. Thu","doi":"10.1109/GTSD.2018.8595703","DOIUrl":"https://doi.org/10.1109/GTSD.2018.8595703","url":null,"abstract":"Rapid prototyping has been the up-and-coming technology to replace traditional manufacturing processes for several decades. However, the cost of producing a rapid prototyping machine that’s able to create a model using metal is too high to apply to low volume production. Therefore, one of the focal points of rapid prototyping is producing patterns for investment casting processes, called rapid casting. Fused deposition modelling (FDM) is a rapid prototyping process which forms a part by continuously melts plastic filaments such as ABS and PLA layer by layer. FDM is a method frequently used in rapid casting. There are two main problems with rapid casting, the cracking of mould shells during the burnout process and patterns incompletely burns out, leaving residual ash and releases corrosive by-products which affect the shells. In this study, we use three parameters to determine their effects on the amount of residual ash the patterns leave behind: Number of perimeters shells, infill percentage and infill pattern. ABS patterns fabricated using FDM method are used because ABS has considerably higher burnout temperature amd is used more frequently in industrial processes, previous studies have also shown that semi-hollow ABS plastic patterns have better dimensional accuracy and surface roughness compared to PLA plastic patterns. After that, we trained an Artificial neural network (ANN) and let it predict the outcomes of the same experiments and compared the results to that of Taguchi’s method predictions using the mean absolute percentage error (MAPE). The results indicate that the predicted outputs of the ANN are very close to the expected output with high reliability (95.218%). ANN method also has a lower MAPE than Taguchi’s method, highlighting that ANN method is a reliable alternative method to accurately predict the relationship between the chosen parameters and the results.","PeriodicalId":344653,"journal":{"name":"2018 4th International Conference on Green Technology and Sustainable Development (GTSD)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126062849","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

Analysis and Design of Distributed and Concentrated IPMSM for Compressor in Electric Vehicles 电动汽车压缩机分布式与集中式IPMSM分析与设计

2018 4th International Conference on Green Technology and Sustainable Development (GTSD) Pub Date : 2018-11-01 DOI: 10.1109/GTSD.2018.8595683

Hojin Jeong, J. Baek, Namhun Kim, Geunsoo Lee, S. Kwak, Chihyung Ahn

引用次数: 0

Theoretical and Experimental Study of Intermittent Absorption Refrigeration System 间歇吸收式制冷系统的理论与实验研究

2018 4th International Conference on Green Technology and Sustainable Development (GTSD) Pub Date : 2018-11-01 DOI: 10.1109/GTSD.2018.8595599

N. Nguyen, Q. Hoang, Hiep-Chi Le, H. Hoang

引用次数: 0

Tra Catfish Oil Production: Phospholipid Removal Using Citric Acid and Bleaching Using Activated Carbon 鲶鱼油的生产:用柠檬酸去除磷脂和用活性炭漂白

2018 4th International Conference on Green Technology and Sustainable Development (GTSD) Pub Date : 2018-11-01 DOI: 10.1109/GTSD.2018.8595528

P. T. Hoan, T. K. Son

{"title":"Tra Catfish Oil Production: Phospholipid Removal Using Citric Acid and Bleaching Using Activated Carbon","authors":"P. T. Hoan, T. K. Son","doi":"10.1109/GTSD.2018.8595528","DOIUrl":"https://doi.org/10.1109/GTSD.2018.8595528","url":null,"abstract":"Tra catfish (Pangasianodon hypophthalmus) is widely cultivated in the Mekong Delta Region, Vietnam, with mainly production of frozen fillets. Crude oil was extracted from tra catfish fat, a by-product, by hot water. Crude oil has phosphorus content of 18.1 mg/kg, Abs $_{mathbf {228nm}}$of 1.07, melting and solidification points of 33.8$^{mathbf {o}}textbf{C}$ and 24$^{mathbf {o}}textbf{C}$, respectively. After treatment stages (degumming using citric acid, neutralization, winterization, dewaxing, bleaching using activated carbon and deodorization), chemical and physical properties of refined oil have many advantaged changes. Respectively, phosphorus content, Abs$_{mathbf {228nm}}$, melting and solidification points were reduced to 3.84 mg/kg, 0.52, $10.2 ^{circ}mathrm {C}$ and $- 2.0 ^{circ}mathrm {C}$. Besides, quality parameters such as peroxide value (2.66 m.eq/kg), iodine value (66.85 g/100g), and saponification value (152 mg KOH/g) were analytical measurements. Moreover, total content of unsaturated fatty acid was 59.7% including palmioleic, oleic, linoleic, $gamma $-linolenic, paullinic, eicosadienoic, dihomo-$gamma $-linolenic, erucic acids. Refined tra catfish oil is pale yellow, liquid state at ambient temperature without strange odor. Obviously, our treatments elevated quality of tra catfish oil to reach the Codex 2017 standard.","PeriodicalId":344653,"journal":{"name":"2018 4th International Conference on Green Technology and Sustainable Development (GTSD)","volume":"133 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122920135","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

Study on the Applicability of Influence Coefficient Method Combined with Vector Analysis in Dynamic Balancing Rigid Rotor Using Flexible Supports 影响系数法结合矢量分析在柔性支承动平衡刚体转子中的适用性研究

2018 4th International Conference on Green Technology and Sustainable Development (GTSD) Pub Date : 2018-11-01 DOI: 10.1109/GTSD.2018.8595685

Lam Nguyen Tran Thanh, Ngon Dang Thien, C. L. Chi

引用次数: 1

Forecasting of CO2 Emissions, Renewable Energy Consumption and Economic Growth in Vietnam Using Grey Models 利用灰色模型预测越南二氧化碳排放、可再生能源消费和经济增长

2018 4th International Conference on Green Technology and Sustainable Development (GTSD) Pub Date : 2018-11-01 DOI: 10.1109/GTSD.2018.8595679

Hong-Xuyen Thi Ho

引用次数: 7