{"title":"Application of Combinatorial Optimization in Logistics","authors":"Long Ngoc Le Bao, Duc Hanh Le, D. Nguyễn","doi":"10.1109/GTSD.2018.8595447","DOIUrl":"https://doi.org/10.1109/GTSD.2018.8595447","url":null,"abstract":"Combinatorial optimization problems are becoming more and more important as its applications take place in many aspects, especially in logistics which planning and management of warehouse are mostly based on. Using exhaustive search for a precise solution is likely not preferable, since the complexity and execution time increases as factorial of input. So people attempt to look for a method which could provide a reasonably good solution with fast response, which heuristic and metaheuristic approaches are superior. In this paper, we will discuss briefly about some common heuristic and metaheuristic ones, as well as their principles and how they are applied to seek the optimal routes in a predefined graph. Then we come to a realistic application in logistics that AGVs have to allocate the best routes and order to achieve the tasks given, by simulation in MATLAB GUI program.","PeriodicalId":344653,"journal":{"name":"2018 4th International Conference on Green Technology and Sustainable Development (GTSD)","volume":"27 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":"121701777","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":"An Implementation of Neuro-Fuzzy System for Gait Analysis in a Smart Insole of Exoskeleton","authors":"D. Phu, Ta Duc Huy, Tran Hoang Ha","doi":"10.1109/GTSD.2018.8595659","DOIUrl":"https://doi.org/10.1109/GTSD.2018.8595659","url":null,"abstract":"This study presents an implementation of neuro-fuzzy model in a smart insole for exoskeleton to extract features using for control. The features are found based on the walking state of the human. The model of fuzzy C means is applied based on the interval type 2 fuzzy. The gait phases of the smart insole are analyzed within a gait cycle of human motion. Due to the boundaries among the gait phases, fuzzy inference is used for finding these variations. In addition, the neural network structure uses as the training role for both the fuzzy membership function parameters and its weights. The results show that states of human motions can be filtered by the neuro-fuzzy model at 98.14%.","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":"123614794","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":"Study the Effect of Chrome Coating Thickness to Fatigue Strength of the Axle-Shaped Machine Parts","authors":"Phoi Nguyen Vinh, Ngon Dang Thien, Cuong Le Chi","doi":"10.1109/GTSD.2018.8595550","DOIUrl":"https://doi.org/10.1109/GTSD.2018.8595550","url":null,"abstract":"Nowadays, electroplating is used in the industry to enhance the corrosion resistance, abrasion resistance of the machine elements. Chrome plating is the most widely used, especially in the dimensions restore of undersized parts. The mechanical properties of details will change when chrome plating on. There are many studies show that the chromium coating greatly affects the fatigue strength of the machine parts. In this study, the fatigue strength of the substrate (C45 steel) and chrome plated with the thicknesses of $1theta, 3theta, 6theta $, and $ 9theta $ micrometers were examined The results show that residual stress tensile and microcrack always exist in the chromium coating due to hydrogen embrittlement in the process of plating. As the coating thickness increased, the residual stress tended to decrease while the microcrack density increased Decrease in fatigue life was observed for coated specimens in comparison to base metal. Fatigue strength goes down when chromium layer thicknesses increase. $X$-ray diffraction (with Cu-Ka radiation) technique is used to determine the residual stress. Microscope optics and scanning electron microscopy (SEM) are used to evaluate the cracks of the chromium coating.","PeriodicalId":344653,"journal":{"name":"2018 4th International Conference on Green Technology and Sustainable Development (GTSD)","volume":"7 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":"123911867","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":"Factors Affecting the Application of Environmental Management Accounting in Construction Companies in Ho Chi Minh City","authors":"Nguyen Thi Huyen-Tram, Pham Ngoc Toàn","doi":"10.1109/GTSD.2018.8595672","DOIUrl":"https://doi.org/10.1109/GTSD.2018.8595672","url":null,"abstract":"This research was aimed to identify and measure the factors affecting the adoption of environmental management accounting in the construction companies in Ho Chi Minh City. The model is tested using data collected from a sample of 200 Ho Chi Minh City construction companies, the survey period is 2 months from October to December 2017. The methodology includes qualitative and quantitative. Analytical techniques include descriptive statistics, scale reliability tests, EFA analysis, linear regression. There are 6 factors that positively influence environmental management accounting in the construction companies in Ho Chi Minh City, including the support of government, company size, manager perception, business strategy, corporate culture, the cost of organizing the environmental management accounting system, construction industry and qualified internal accountant. Research results show the positive role of applying environmental management accounting in corporate governance. The study suggests some policies for government agencies and managers involved in applying environmental management accounting in improving the efficiency of economic and environmental management in companies.","PeriodicalId":344653,"journal":{"name":"2018 4th International Conference on Green Technology and Sustainable Development (GTSD)","volume":"1959 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":"128831911","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":"Facial Expression Recognition Based on Salient Regions","authors":"Anh H. Vo, Bao T. Nguyen","doi":"10.1109/GTSD.2018.8595551","DOIUrl":"https://doi.org/10.1109/GTSD.2018.8595551","url":null,"abstract":"Facial expression recognition has been applied in many fields such as human computer interaction, patient monitoring, neurology, social robot… Although facial expression recognition has gained some encourage results, there are still many challenges such as the change of illumination, blur, etc. Especially, recognizing between sadness and anger expression raises more barriers. In this paper, we proposed a framework using only salient facial regions, but it would be able to improve the accuracy of facial expression recognition. In this framework, one of the most state-of-the-art descriptor, called Pyramid of Local Phase Quantization descriptor (PLPQ) was used to robust with respect to image blur. The experiment achieved 97.7% accuracy recognition rate on the extend Cohn-Canade (CK+) database, and outperformed than other state-of-the-art facial expression recognition methods.","PeriodicalId":344653,"journal":{"name":"2018 4th International Conference on Green Technology and Sustainable Development (GTSD)","volume":"42 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":"117249321","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 Simple Linear Model for the Performance Evaluation of Cascade Fin Arrays","authors":"Hsin-I Chou, Jau-Huai Lu","doi":"10.1109/GTSD.2018.8595628","DOIUrl":"https://doi.org/10.1109/GTSD.2018.8595628","url":null,"abstract":"Cascade fin arrays are used widely to enhance heat transfer in electronic packaging. To analyze the performance of a cascade fin array, usually a complex 3D CFD heat transfer model is conducted in industry. It is time consuming and high computing resource is required. A simple linear model is proposed in this paper to analyze the fin array in a quick and accurate way. Three cases were analyzed and the results of this model were compared with that obtained by CFD. It was found the error in temperature prediction is within 1%.","PeriodicalId":344653,"journal":{"name":"2018 4th International Conference on Green Technology and Sustainable Development (GTSD)","volume":"25 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":"121644335","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":"Comparative Study of Short-term Electric Load Forecasting: Case Study EVNHCMC","authors":"N. T. Dung, T. T. Hà, N. Phuong","doi":"10.1109/GTSD.2018.8595514","DOIUrl":"https://doi.org/10.1109/GTSD.2018.8595514","url":null,"abstract":"Short-term load forecasting (STLF) plays an important role in building business strategies and ensuring reliability and safe operation of any electric power system. There are many different methods used for short-term forecasting, including regression models, time series, neural networks, expert systems, fuzzy logic, machine learning, and statistical algorithms. There are always debates about which algorithms are the best for electric load forecasting. In this paper, we compared the SVR (Support Vector Regression), NN (Neural Network) and RFR (Random Forest Regression) algorithms, based on the dataset of EVNHCMC to find out a suitable STLF for the dataset.","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":"130878463","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":"Sliding Mode Controller with DOBC and MTPA Trajectory for Surface-Mounted PMSM","authors":"Sabizhan Sumbekov, T. Do","doi":"10.1109/GTSD.2018.8595619","DOIUrl":"https://doi.org/10.1109/GTSD.2018.8595619","url":null,"abstract":"This paper provides a new controller technique based on Sliding Mode Control (SMC) and disturbance observer- based control (DOBC) for surface-mounted permanent magnet synchronous motor (SPMSM). The paper considers the maximum torque per ampere (MTPA) trajectory as the control strategy. The proposed technique is applicable for non-linear servo systems such as SPMSM and is supposed to be the highly efficient control method. The MatLab Simulink model block diagram and simulation results are provided in the paper with further discussions. The comparison between proposed method and proportional-integral-derivative (PID) controller as conventional methods is also performed and indicated in the paper.","PeriodicalId":344653,"journal":{"name":"2018 4th International Conference on Green Technology and Sustainable Development (GTSD)","volume":"72 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":"131253861","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":"Observer-Based LQR for Wind Energy Conversion Systems with Single Measurement","authors":"Van‐Phong Vu, T. Do","doi":"10.1109/GTSD.2018.8595673","DOIUrl":"https://doi.org/10.1109/GTSD.2018.8595673","url":null,"abstract":"The control system in wind energy conversion systems is used for tracking the optimal power via regulating the rotor speed of the generator. In this paper, we proposed a novel observer for estimating not only aerodynamic torque in wind energy conversion systems, but also d-axis and q-axis currents. Therefore, in the proposed control system, only the rotor speed of the generator is required to be measured. It should be noted that this is the first time, such a control system can do that for wind energy conversion systems. To form a complete control system, we use linear optimal control method for tracking the optimal trajectory of a generator. In this paper, the permanent magnet synchronous generator is used. In addition, on the basis of the Lyapunov theory and Sum-Of-Square technique, the conditions for observer synthesis are derived in the main theorem. The simulation results show that our control system with proposed robust observer can effectively track the speed reference in the conditions of unknown wind speed and stator currents.","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":"131299078","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":"Automatic Classifying of Cervical Cells Using Fourier Spectral Features","authors":"Thanatip Chankong","doi":"10.1109/GTSD.2018.8595662","DOIUrl":"https://doi.org/10.1109/GTSD.2018.8595662","url":null,"abstract":"A method of automatically classifying cervical cells from Pap smear images using the Fourier Transform-based Features is proposed. To avoid the error occurred from the cell and nucleus segmentation process, we proposed the set of simplified features derived from the two-dimensional Fourier spectrum using the discrete Fourier transform. The features in the proposed method are obtained from the frequency components along the circle of radius centered at the center of the spectrum and the frequency components along the radial line having an angle. Each section of frequency components is divided into subsection. Mean value of each subsection are computed and used as the features for classification. The features are used to discriminate cells as a two-class problem to classify between the normal and abnormal cell. Classification experiments are conducted using 5-fold cross validation. The efficiency of four classifiers including K-nearest neighbor (KNN) support vector machine (SVM), Random Forest, and Adaptive Boosting (AdaBoost) are investigated. The performance of the proposed feature to classify the normal and abnormal cells show promising performance with accuracy of classification from all classifiers is more than 93%. SVM shows the best classification rate at 94.38%.","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":"123982086","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}