Science & Technology Development Journal - Engineering and Technology http://stdjet.scienceandtechnology.com.vn/index.php/stdjet <p><span id="result_box" class="" lang="en"><span title="Tạp chí Phát triển Khoa học và Công nghệ (PTKH&amp;CN) của Đại học Quốc gia thành phố Hồ Chí Minh (ĐHQG-HCM) được thành lập từ năm 1997, ra số đầu tiên vào tháng 1 năm 1998. Từ năm 2006 Tạp chí đã"><strong>Science and Technology Development Journal</strong> (STDJ), Vietnam National University - Ho Chi Minh City (VNU-HCM) was established in 1997. And the first issue was published in January 1998 with </span><span title="đăng ký mã số chuẩn quốc tế ISSN 1859-0128.">ISSN 1859-0128. </span><span title="Từ đó cho đến nay, Tạp chí PTKH&amp;CN đã trở thành diễn đàn khoa học quan trọng nhất của đội ngũ cán bộ nghiên cứu, giảng viên, nghiên cứu sinh của ĐHQG-HCM và cũng là diễn đàn khoa học công nghệ đáng tin cậy của">Since then, STDJ has become the most important scientific forum of scientists from VNU-HCM as well as</span><span title="nhiều nhà nghiên cứu, giảng viên các trường đại học khác tại Việt Nam."> other universities. </span><span title="Tạp chí đã trải qua 20 năm phát triển và đã trở thành nhịp cầu giao lưu khoa học, cũng như làm phong phú tài liệu tham khảo cho đội ngũ giảng viên, nghiên cứu sinh, sinh viên ĐHQG-HCM nói riêng và các Trường đại">The magazine has undergone 20 years of development and has become a bridge for scientific exchanges, as well as enriching reference materials for the faculty, doctoral students, students of VNU-HCM in particular and other universities, institutes... </span></span></p> <p><span id="result_box" class="" lang="en"><span title="học phía Nam nói chung. "><br></span><span title="Tính đến hết năm 2016 Tạp chí đã xuất bản được 276 số với 2714 bài nghiên cứu của các nhà khoa học, cán bộ trong và ngoài ĐHQG-HCM trong 5 lĩnh vực nghiên cứu: Kỹ thuật và Công nghệ, Khoa học Tự nhiên,">By the end of 2016, the journal has published 276 issues with 2714 research articles in five areas of research: Engineering and Technology, Natural Sciences, </span><span title="Khoa học Xã hội và Nhân văn, Kinh tế luật và Khoa học Quản lý, Khoa học Trái đất và Môi trường tương ứng với 5 chuyên san chuyên ngành của Tạp chí.">Social Sciences and Humanities, Economics of Law and Management Sciences, Earth Sciences and Environment corresponding to 5 specialized journals of the Journal. </span></span></p> <p><span id="result_box" class="" lang="en"><span title="Tạp chí đã được phát hành tại các thư viện của các đơn vị thành viên của ĐHQG-HCM, các Sở Khoa học Công nghệ của các tỉnh thành trên cả nước và được Hội đồng học hàm Giáo sư Nhà nước đánh giá cao.">The magazine has been widely indexed in the various libraries at Vietnam. </span></span></p> Viet Nam National University Ho Chi Minh City en-US Science & Technology Development Journal - Engineering and Technology 2615-9872 <p>Copyright The Author(s) 2018. This article is published with open access by Vietnam National University, Ho Chi Minh city, Vietnam. This article is distributed under the terms of the&nbsp;<a href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noopener">Creative Commons Attribution License (CC-BY 4.0)</a> which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.&nbsp;</p> A Using the Fuzzy Logic to Classify Vietnamese Women’s Shapes from 6 to 18 Years Old http://stdjet.scienceandtechnology.com.vn/index.php/stdjet/article/view/630 <p>The paper presents research to establish a simulation program on the Fuzzy logic for the Vietnamese women from 6-18 years old in Ho Chi Minh City. The author used across statistical method, component analysis method, factor analysis method, ANOVA by the&nbsp;SPSS&nbsp;software to overall test the difference between groups, and using the simulation by the Matlab software in this research. This research classified body shapes by a combination of 3 height groups, such as low, medium, and high. They combined with the FFIT&nbsp;and BMI standards to produce the final result of having all 27 women shapes. The results of the groups used to put into the Fuzzy logic simulation program by the Matlab software with the MISO model. It had five variables for inputs, and the output was the result of the shape which needed to know. This is scientific research, so it applies to teach subjects in the field of costume design. Besides, it supports businesses, and fashion designers will have a basis for advice on choosing costumes that fit the body shape, as well as the object of measurement, will have an objective awareness of body shapes to give training directions, adjust the physique appropriately.</p> Mong Hien Thi Nguyen ##submission.copyrightStatement## http://creativecommons.org/licenses/by/4.0 2020-04-05 2020-04-05 3 1 First First 10.32508/stdjet.v3i1.630 title description none g Econometric Model for Forecasting Electricity Demand of Industry and Construction Sectors in Vietnam to 2030 http://stdjet.scienceandtechnology.com.vn/index.php/stdjet/article/view/646 <p>An accurate forecasting for long-term electricity demand makes a major role in the planning of the power system in any country. Vietnam is one of the most economically developing countries in the world, and its electricity demand has been increased dramatically high of about 15%/y for the last three decades. Contribution of industry and construction sectors in GDP has been increasing year by year, and are currently holding the leading position of largest consumers with more than 50% sharing in national electricity consumption proportion. How to estimate the electricity consumption of these sectors correctly makes a crucial contribution to the planning of the power system. This paper applies an econometric model with Cobb Douglas production function - a top-down method to forecast electricity demand of the industry and construction sectors in Vietnam to 2030. Four variables used are the value of the sectors in GDP, income per person, the proportion of electricity consumption of the sectors in total, and electric price. Forecasted results show that the proposed method has a quite low MAPE of 7.66% for long-term forecasting. Variable of electric price does not affect the demand. This is a very critical result of the study for authority governors in Vietnam. In the base scenario of the GDP and the income per person, the forecasted electricity demands of the sectors are 112,853 GWh, 172,691 GWh, and 242,027 GWh in 2020, 2025, 2030, respectively. In high scenario one, the demands are 115,947 GWh, 181,591 GWh, and 257,272 GWh, respectively. The above values in the high scenario are less than from 9.0% to 15.8 % of that of the based on in the Revised version of master plan N0. VII.</p> Viết Cường Võ Phuong Hoang Nguyen Luan Le Duy Nguyen Van-Hung Pham ##submission.copyrightStatement## http://creativecommons.org/licenses/by/4.0 2020-04-05 2020-04-05 3 1 First First 10.32508/stdjet.v3i1.646 title description none g Determine the location and capacity of energy storage in the power system using the improved Min-Cut algorithm http://stdjet.scienceandtechnology.com.vn/index.php/stdjet/article/view/587 <p>This paper aims to exhibit of optimal location and capacity of energy storage (ES) in electricity development planning, including transmission expansion planning (TEP) and generation expansion planning (GEP). Renewable energy sources are being developed in the world in order to replace the increasingly exhausting and polluting fossil energy sources. However, the energy generation of these types cannot be intentionally controlled but depends on natural conditions. To support the defects that renewable energy causes, energy storage systems have been studied and applied. Developing energy storage to charge cheap energy and provide higher prices in the electricity market is one of the issues that have being attention recently. Although choosing the proper location to place is a great challenge. A number of algorithms have been researched for a long time to find suitable locations for GEP; heuristic algorithms have been used in recent years because of their flexibility and wide range. The heuristic approaches, although being varied over time to become more and more effective search engines, but the problem is withheld into local extremes during searching, the number of too many loops when applied to large network systems... are still being researched and overcome by scientists for heuristic algorithms. On the other hand, the Max-Flow-Min-Cut (MFMC) algorithm has been applied to determine thyristor controlled series compensation (TCSC) to manage congestion that also has been of interest to many researchers but it has some limitations. The MFMC algorithm will be improved more effectively to eliminate congestion collaborate with a heuristic in the paper, and the simulation results tested to determine the position and power of ES on the 24 bus IEEE system showed the algorithm's feasibility.</p> Đinh Ngọc Sang Dương Thanh Long Trương Việt Anh Nguyễn Thanh Thuận ##submission.copyrightStatement## http://creativecommons.org/licenses/by/4.0 2020-04-09 2020-04-09 3 1 First First 10.32508/stdjet.v3i1.587 title description none g The optimal generator dispatching with uncertain conditions for grid-connected microgrid http://stdjet.scienceandtechnology.com.vn/index.php/stdjet/article/view/631 <p>Nowadays, the penetration of wind and solar sources is relatively high in Micro Grid. Wind speed and solar radiation forecasting hardly gives an exact value and leads to the values in intervals. Therefore forecasted output powers of these sources are also in the intervals. The constraint on power balance in Micro Grid has the right-hand-side uncertainty, in the interval. So for Micro-Grid in grid connection mode, the presence of the distributed generations based on wind and solar energy sources makes optimal dispatching problems of distributed generations become an uncertainty problem. The optimal solutions for the lower and upper ends of this interval are the best and the worst optimal solution. This paper proposes to treat the above problem as the optimal problem with two objectives: reach the best and the worst solution. The principle of fuzzy set and the Particle Swarm Optimization algorithm will be applied for solving the multi-objective problem. The final optimal value will belong to an interval. Meanwhile, the output power of the swing generator varies to respond to the uncertainty of wind and solar source power. An example of a low-voltage MG with three distributed generators is considered with two cases: connecting to the utility grid via the circuit breaker and via power controller.</p> Phan Quoc Dung Phan Thi Thanh Binh Pham Dinh Minh Tran Minh Hung Nguyen Duc Hung ##submission.copyrightStatement## http://creativecommons.org/licenses/by/4.0 2020-04-09 2020-04-09 3 1 First First 10.32508/stdjet.v3i1.631 title description none g