{"title":"Receding Horizon Control Method for Obstacle Avoidance System of Wheelchair with BMI","authors":"T. Kawabe","doi":"10.4156/IJEI.VOL3.ISSUE1.9","DOIUrl":"https://doi.org/10.4156/IJEI.VOL3.ISSUE1.9","url":null,"abstract":"","PeriodicalId":223554,"journal":{"name":"International Journal of Engineering and Industries","volume":"135 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131458690","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":"Emotion Recognition by Machine Learning Algorithms using Psychophysiological Signals","authors":"E. Jang, B. Park, Sang-Hyebo Kim, J. Sohn","doi":"10.4156/IJEI.VOL3.ISSUE1.6","DOIUrl":"https://doi.org/10.4156/IJEI.VOL3.ISSUE1.6","url":null,"abstract":"Recently, emotion recognition systems based on physiological signals have introduced in humancomputer interaction researches. The aim of this study is to classify seven emotions (happiness, sadness, anger, fear, disgust, surprise, and stress) by machine learning algorithms using physiological signals. 12 college students participated in this experiment over 10 times. Total 70 emotional stimuli (10 emotional stimuli per each emotion) had been tested their suitability and effectiveness prior to experiment. Physiological signals, i.e. EDA, ECG, PPG, and SKT were acquired and were analyzed. Physiological signals were obtained prior to the presentation of emotional stimuli and while emotional stimuli were presented to participants. 28 features were extracted the acquired signals and analyzed for 30 seconds from the baseline and the emotional states. For emotion recognition, the data which is subtracted baseline values from the emotional state applied to 5 machine learning algorithm, i.e. FLD, CART, SOMs, Naive Bayes and SVM. The result showed that an accuracy of emotion classification by SVM was highest and lowest by FLD. This means that SVM is the best emotion recognition algorithm in this study. Our result can help emotion recognition studies lead to better chance to recognize not only basic emotion but also user’s various emotions, e.g., boredom, frustration, love, pain, etc., by using physiological signals. Also, it is able to be applied on many human-computer interaction devices for emotion detection.","PeriodicalId":223554,"journal":{"name":"International Journal of Engineering and Industries","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115337695","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":"Research on the Marine Shafting Torsional Vibration with Gears Transmission","authors":"Xiang Xu, Rui-ping Zhou, Mengsheng Wang","doi":"10.4156/IJEI.VOL3.ISSUE1.10","DOIUrl":"https://doi.org/10.4156/IJEI.VOL3.ISSUE1.10","url":null,"abstract":"Abstract The torsional vibration of marine propulsion shafting has been studied for more than a century. With abundant research achievements and experiences, a systematic approach of vibration calculation has been put forward for ship industrial applications. However, literature review indicates that when processing the gear transmission in the shaft line, the meshing motion has been treated as rigid mass in the equivalent equation of energy conservation, which leads to a certain error between the theoretical and experimental results of torsional vibration. Hence, to improve the calculation accuracy, a new method which considers the gear meshing stiffness is proposed in this paper. By taking the propulsion shafting of 3700DWT IMO TYPE II CHEMICAL TANKER as the research object, the forward computing formula of the shaft torsional vibration was first obtained using gear system dynamics theory. Then, the gear mesh stiffness was derived from the length variation of gear contact line. Finally, the free torsional vibration frequency was calculated considering the influence of the gear meshing force. The real marine test was implemented to verify the proposed method. The calculation results show that the new approach can track the actual torsional vibration more precisely than that without taking the gear meshing impact into account.","PeriodicalId":223554,"journal":{"name":"International Journal of Engineering and Industries","volume":"308 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121293718","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 Input and Output Monitoring System for FPGA-based Hardware PLC","authors":"Shunzhou Yu, Xiaodong Xu","doi":"10.4156/IJEI.VOL3.ISSUE1.4","DOIUrl":"https://doi.org/10.4156/IJEI.VOL3.ISSUE1.4","url":null,"abstract":"","PeriodicalId":223554,"journal":{"name":"International Journal of Engineering and Industries","volume":"132 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131405355","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":"Emotion Recognition based on ANS Responses Evoked by Negative Emotion","authors":"E. Jang, B. Park, Sang-Hyebo Kim, Y. Eum, J. Sohn","doi":"10.4156/IJEI.VOL3.ISSUE1.8","DOIUrl":"https://doi.org/10.4156/IJEI.VOL3.ISSUE1.8","url":null,"abstract":"","PeriodicalId":223554,"journal":{"name":"International Journal of Engineering and Industries","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132922742","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":"Adaptive Control of a 2-DOF Inverted Pendulum Using an OMP","authors":"P. Doan, V. Dinh, Hak-Kyeong Kim, Sang Bong Kim","doi":"10.4156/IJEI.VOL3.ISSUE1.2","DOIUrl":"https://doi.org/10.4156/IJEI.VOL3.ISSUE1.2","url":null,"abstract":"Abstract In this paper, stabilization of a 2-degrees-of-freedom (2-DOF) inverted pendulum using an omnidirectional mobile platform (OMP) is studied. The inverted pendulum is a rod that rotating around a universal joint structure with 2-DOF. The OMP consists of platform and three omnidirectional wheels that are moving on x y plane and keeping the rod balance. The dynamic modeling of the 2-DOF inverted pendulum and the OMP are presented. From the dynamic equation, an adaptive backstepping control method is proposed to keep the rod balance with an assumption that the distance from the center of gravity of the rod to the rotary point on the OMP is unknown. Stability of the adaptive controller is proven by using Lyapunov function. Simulation and experimental results show the effectiveness of the proposed controller.","PeriodicalId":223554,"journal":{"name":"International Journal of Engineering and Industries","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124724041","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":"Efficient Image Recognition Using Local Feature and Fuzzy Triangular Number Based Similarity Measures","authors":"N. Belacel","doi":"10.4156/IJEI.VOL3.ISSUE1.5","DOIUrl":"https://doi.org/10.4156/IJEI.VOL3.ISSUE1.5","url":null,"abstract":"Image local scale invariant features are of great importance for object recognition. Among various local scale invariant feature descriptors, Scale Invariant Feature Transform (SIFT) descriptor has been shown to be the most descriptive one and thus widely applied to image retrieval, object recognition and computer vision. By SIFT descriptor, an image may be described by hundreds of key points with each point depicted by a 128-element feature vector; this representation makes the subsequent feature matching very computationally demanding. In this paper, we propose to incorporate the fuzzy set concepts into SIFT features and define fuzzy similarity between images. The proposed approach is applied to image recognition. Experimental results with the coil-100 image database are provided to show the superiority of the proposed approach.","PeriodicalId":223554,"journal":{"name":"International Journal of Engineering and Industries","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131151913","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-Control with Filtered State-Feedback for Disturbance Attenuation of Active Suspension Systems","authors":"Wen-Yen Hsiao, H. Chiang","doi":"10.4156/IJEI.VOL3.ISSUE1.7","DOIUrl":"https://doi.org/10.4156/IJEI.VOL3.ISSUE1.7","url":null,"abstract":"","PeriodicalId":223554,"journal":{"name":"International Journal of Engineering and Industries","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122331067","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}
V. Dinh, P. Doan, H. Giang, Hak-Kyeong Kim, Sang Bong Kim
{"title":"Path Following of an Omnidirectional Mobile Platform Using Adaptive Backstepping Technique","authors":"V. Dinh, P. Doan, H. Giang, Hak-Kyeong Kim, Sang Bong Kim","doi":"10.4156/IJEI.VOL3.ISSUE1.1","DOIUrl":"https://doi.org/10.4156/IJEI.VOL3.ISSUE1.1","url":null,"abstract":"This paper proposes a controller design for an omnidirectional mobile platform (OMP) with three wheels using adaptive backstepping control. A kinematic modeling and a dynamic modeling of the system with disturbance and friction are presented. Based on the dynamic modeling, an adaptive backstepping controller (ABC) is designed to stabilize the OMP with parameter variations and uncertainties caused by friction and slip to follow a desired path. The controller and update laws are designed based on an adaptive backstepping control theory. It includes two steps: firstly, a virtual state and a stability function are introduced. Secondly, Lyapunov functions for the system are chosen and an adaptive backstepping controller to make the system stabilisable and the update laws to estimate the unknown parameters are obtained. The system stability is guaranteed by the Lyapunov stability theory. The simulation and experimental results are presented to demonstrate the effectiveness of the proposed controller and update laws.","PeriodicalId":223554,"journal":{"name":"International Journal of Engineering and Industries","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124801694","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}
Sungyoon Lee, Jaesung Oh, Youngwon Kim, M. Kwon, Jaehyo Kim
{"title":"Estimation of the upper limb lifting movement under varying weight and movement speed","authors":"Sungyoon Lee, Jaesung Oh, Youngwon Kim, M. Kwon, Jaehyo Kim","doi":"10.4156/IJEI.VOL2.ISSUE4.11","DOIUrl":"https://doi.org/10.4156/IJEI.VOL2.ISSUE4.11","url":null,"abstract":"This paper aims to estimate physical human intention during lifting movement from EMG signals. Subjects conducted periodic target following up/down movement which the target moves in sinusoidal speed profile on sagittal plane. The movement conditions vary with target speed, 0.2Hz, 0.3Hz, 0.4Hz, and 0.5Hz, and with weight, 1.5kg, 3kg, 4.5kg, and no load. The difference between loaded and unloaded lifting movement in muscle contraction level is investigated and a simple mathematical method to recognize the motor intention and load condition is suggested. Through the logistic regression model, movement direction was estimated with over 80% accuracy. In addition, it was found that the pattern of TCL is similar to the joint angle in unloaded condition and to the angular speed in loaded condition.","PeriodicalId":223554,"journal":{"name":"International Journal of Engineering and Industries","volume":"210 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115759077","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}