{"title":"Time-varying fuzzy logic controller of skid-steering mobile robot based on Lyapunov stability","authors":"Fady Ibrahim, A. Abouelsoud, A. M. F. Elbab","doi":"10.1109/M2VIP.2016.7827299","DOIUrl":"https://doi.org/10.1109/M2VIP.2016.7827299","url":null,"abstract":"A kinematic model of a skid-steering mobile robot (SSMR) is analyzed. The influence of relative position between the instantaneous center of rotation and SSMR center of mass is considered in the analysis. Then, a time-varying fuzzy logic controller based on Lyapunov stability criterion is designed. The closed loop system is simulated using Matlab-Simulink on point stabilization from different initial conditions. Results show that the proposed controller reaches almost zero steady state error with smooth trajectory.","PeriodicalId":125468,"journal":{"name":"2016 23rd International Conference on Mechatronics and Machine Vision in Practice (M2VIP)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115417200","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":"Particle image velocimetry study of displacement field in granular continua under axisymmetric conditions","authors":"K. Arif, J. Potgieter","doi":"10.1109/M2VIP.2016.7827321","DOIUrl":"https://doi.org/10.1109/M2VIP.2016.7827321","url":null,"abstract":"In this paper we study the characteristics of displacement field during installation of a model pile in granular media using particle image velocimetry (PIV). A steel pile of 12.7 mm width was driven to a depth of 120 mm in silica sand of 0.6 mm mean particle size in axisymmetric condition. The chamber for the sand was fabricated out of transparent acrylic glass to allow high resolution imaging from front side under diffused illumination condition. Instron material testing system was utilized to drive the pile into the soil with controlled speed while a custom-built imaging system recorded the images for offline processing with PIV algorithms. Before application of the technique to the model pile, PIV parameters were also optimized through a simple translation test. Results for displacement as well as strain field obtained using finite element post-processing are appended as evidence of impact of this study.","PeriodicalId":125468,"journal":{"name":"2016 23rd International Conference on Mechatronics and Machine Vision in Practice (M2VIP)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122181307","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":"Ultrasonic phased array length measurement of internal detects in butt weld","authors":"T. Lei, Li Dong","doi":"10.1109/M2VIP.2016.7827340","DOIUrl":"https://doi.org/10.1109/M2VIP.2016.7827340","url":null,"abstract":"Length measurement of internal defects in butt welds is very important for the quantitative assessment of ultrasonic testing. Ultrasonic phased array testing technology has been widely used because of great detection rate and detection efficiency. We analyzed characteristics and causes of ultrasonic phased array length measurement to provide an important basis for ultrasonic phased array testing process optimization and defect assessment of the butt weld, Firstly, CIVA numerical simulation software is used to simulate length measurement of ultrasonic phased array and conventional ultrasonic inspection. Secondly, some experiments are implemented including ultrasonic phased array testing, conventional ultrasonic testing and ray detection in butt weld testing plate and the results are compared and analyzed. Finally, according to simulation and experimental results, length measurement of typical internal defects in the butt weld has its own characteristics, which is closely related to the type of defect, the distance between probe and the weld, amplitude calibration, wedge block size and non deflection direction of acoustic beam diffusion, and other factors.","PeriodicalId":125468,"journal":{"name":"2016 23rd International Conference on Mechatronics and Machine Vision in Practice (M2VIP)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131555924","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 efficient artistic image-video transfer approach","authors":"S. Prasad, B. N. Keshavamurthy","doi":"10.1109/M2VIP.2016.7827320","DOIUrl":"https://doi.org/10.1109/M2VIP.2016.7827320","url":null,"abstract":"The paper presents a very simple and efficient way of color style transfer of a video using a reference image. Style transfer changes the mood of look and feel of video. Here, in this paper instead of RGB color space, for style transfer oRGB is used which is much more robust compared to other color spaces. Then the color space is segmented using an unsupervised k-means algorithm. Later, each cluster is passed through a histogram matching filter to generate artistic synthetic image. Cumulatively this process generates an artistic video entirely different from the original ones. Several experimental results are shown to prove the efficient of the proposed approach compared to the other existing state-of-the-arts.","PeriodicalId":125468,"journal":{"name":"2016 23rd International Conference on Mechatronics and Machine Vision in Practice (M2VIP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129948218","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":"Existing weld seam recognition based on sub-region BP_Adaboost algorithm","authors":"Shanshan Wang, Xingsong Wang","doi":"10.1109/M2VIP.2016.7827283","DOIUrl":"https://doi.org/10.1109/M2VIP.2016.7827283","url":null,"abstract":"This paper presents a sub-region BP_Adaboost algorithm. Compared with the sub-region BP algorithm, it can raise the recognition accuracy of existing weld seam from 90% to 94%. The algorithm firstly obtains various tilt angles of three types of weld seam and builds samples set which consists of weld seam and equal number of non-weld seam sub-regions. 5000 samples are obtained by Matlab. 4000 samples are selected as the training data while 1000 samples are chosen as testing data. For training samples, the final strong classifier is obtained by adjusting the node number of hidden layer and the number of weak classifiers. The strong classifier is applied to test 1000 group of samples. The experiment shows that the classification accuracy is increased by 4%. The algorithm has good result. The network structure is simple due to less input vector dimensions and only four weak classifiers can improve the recognition accuracy of existing weld seam.","PeriodicalId":125468,"journal":{"name":"2016 23rd International Conference on Mechatronics and Machine Vision in Practice (M2VIP)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130772602","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":"Kinematic analysis of cable-driven hyper-redundant catheter robot","authors":"Zhao Peng, Chen Bai, Wang Yaoyao, Bai Dongming","doi":"10.1109/M2VIP.2016.7827332","DOIUrl":"https://doi.org/10.1109/M2VIP.2016.7827332","url":null,"abstract":"For the need of interventional operation, a modular hyper-redundant catheter robot based on cable-driven mechanism is presented. According to the complex interventional environment, the operator can choose the appropriate catheter unit for rapid reconfiguration. In this paper, the kinematic model of a single flexible catheter is established, and the mapping relationship between drive space and operation space is given. Under the restraint of vascular environment, this paper puts forward the inverse kinematics solution of hyper-redundant catheter robot by combining methods of backbone curve and joint equivalent. Simulation results show that the proposed method can meet the requirements of optimization and robustness.","PeriodicalId":125468,"journal":{"name":"2016 23rd International Conference on Mechatronics and Machine Vision in Practice (M2VIP)","volume":"182 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116655427","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}