Yoshiaki Kunieda, Kiminobu Kumada, K. Murai, Hideyuki Kashima
{"title":"Education and Training on Causal Factors of Marine Collisions","authors":"Yoshiaki Kunieda, Kiminobu Kumada, K. Murai, Hideyuki Kashima","doi":"10.1109/ICETET.2015.36","DOIUrl":"https://doi.org/10.1109/ICETET.2015.36","url":null,"abstract":"According to the Japan Coast Guard, marine accidents involving over 2,000 vessels have occurred annually, and approximately 30% of these are collision accidents. Presumably, approximately 92% of collision accidents' causes are human factors. We classified the causal factor termed 'gprimary cause by human error' into ten items. As a result of analyzing the dangerous case that we experienced and investigating the causal factor of error, the problem of 'gbelief' was revealed. (In this paper, belief says what there is no rational basis or what is the thing that is believed based on the wrong basis, and is a meaning near assumption.) Furthermore, 130 marine collision accidents were investigated, overwhelmingly, 'gbelief' was a causal factor. As a countermeasure against a 'gbelief' as a causal factor of error, we proposed training that aimed at acquisition of critical thinking.","PeriodicalId":127139,"journal":{"name":"2015 7th International Conference on Emerging Trends in Engineering & Technology (ICETET)","volume":"76 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129353667","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":"Sensorless Field Oriented Control of PMSM Drive System for Automotive Application","authors":"M. Daigavane, S. R. Vaishnav, R. G. Shriwastava","doi":"10.1109/ICETET.2015.11","DOIUrl":"https://doi.org/10.1109/ICETET.2015.11","url":null,"abstract":"This paper presents an analysis and hardware implementation of a Sensorless Field oriented control method for Permanent Magnet Synchronous Motor drive using 3-Phase Permanent Magnet Synchronous Low-Voltage Motor Control Drive. The Sensorless Field oriented control Permanent Magnet Synchronous Motor drive system is designed, simulated and implemented using the standard setup by free scale. The experimental setup is designed and implemented based on a six-pole, 2 kW permanent magnet synchronous motor. The 3-ph permanent magnet synchronous motor LV (low voltage) motor control drive board consists of all the required circuitry needed for development of motor control applications. It incorporates a complete 3-phase power stage, a communication interface, feedback signal handling and the user's interface. Power circuit consists of metal oxide semiconductor field effect transistor based voltage source inverter and gate driver circuit. The control hardware consists of power supplies, resolver demodulation circuit, current sensors and interfacing circuits. The reference speed, rotor speed estimation using sensed position signals, speed controller, reference frame transformation, vector controller and PWM current controller for gating pulse generation of voltage source inverter are implemented using the standard GUI interface of the software where high level language coding is used. The simulated performances along with test results of the permanent magnet synchronous motor drive are studied for starting, steady-state condition, speed reversal and load perturbation. Experimental results show that the drive system has a good dynamic response particularly in terms of torque ripple and speed response.","PeriodicalId":127139,"journal":{"name":"2015 7th International Conference on Emerging Trends in Engineering & Technology (ICETET)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127796464","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":"Traffic Video Surveillance Using Contourlet Transform","authors":"Archana Boharapi, S. Paygude, V. Vyas, M. Sutaone","doi":"10.1109/ICETET.2015.31","DOIUrl":"https://doi.org/10.1109/ICETET.2015.31","url":null,"abstract":"This paper proposes an innovative idea for segmenting a video sequence including vigorous textures in transform domain. The advanced mode is based on the contourlet transform. This transform method agreed to re-evaluate spatiotemporal structures for a given level and inclination. All advances examine and compare multi-scale dissolution to recognize dynamic texture in image sequences and then intend a simple efficient approach to dynamic texture segmentation using contourlet transform with measures to find the vibratory attribute. So it is competent to specify the traffic of an image sequence by calculating the parameters. The observation that, for objects that generally travel, it is normally easier to see them when they are moving than when they are stationary. However when there will be more traffic crowd, it is difficult to find the task features. The segmentation proficiency is well applied on video sequence of dynamic texture and also traffic classification is done by measuring the parameter. Future prospects are finally discussed.","PeriodicalId":127139,"journal":{"name":"2015 7th International Conference on Emerging Trends in Engineering & Technology (ICETET)","volume":"195 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130016461","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":"FPGA Implementation of Modulo (231-1) Adder","authors":"R. Kharadkar, N. Hulle","doi":"10.1109/ICETET.2015.23","DOIUrl":"https://doi.org/10.1109/ICETET.2015.23","url":null,"abstract":"Modulo (231-1) adder is one of the important module in ZUC stream cipher. The paper presents compact, high performance architecture for modulo (231-1) adder using CLA. The proposed architecture is implemented by using VHDL language with CAD tool Xilinx ISE Design Suite 13.2 and target device is Xilinx Spartan3-xc3s1000, with package FG320. Presented result shows that proposed architecture minimizes the chip area, power consumption and increases computation speed of modulo (231-1) adder.","PeriodicalId":127139,"journal":{"name":"2015 7th International Conference on Emerging Trends in Engineering & Technology (ICETET)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121454942","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}
Atsuki Tashita, Syoji Kobashi, Y. Mori, M. Morimoto, S. Aikawa, Y. Yoshioka, Y. Hata
{"title":"Macrophage Tracking Using the Hungarian Algorithm in Time Lapse MR Images","authors":"Atsuki Tashita, Syoji Kobashi, Y. Mori, M. Morimoto, S. Aikawa, Y. Yoshioka, Y. Hata","doi":"10.1109/ICETET.2015.40","DOIUrl":"https://doi.org/10.1109/ICETET.2015.40","url":null,"abstract":"Immune cells deeply affect human health, however, it has not been investigated well due to difficulty of observing immune cells in vivo. The recent study enables us to acquire single Macrophage, which is the representative cell of immune cells, in vivo using 11.7 T magnetic resonance imaging (MRI). To quantify the kinematics of macrophages, it requires detection and tracking macrophages in MR image. The kinematic analysis will help researchers to investigate the mechanism of autoimmune diseases. This paper proposes an automated single macrophage tracking method in mouse brain 11.7 T time-lapse MR images. The method detects macrophages using background subtraction algorithm, and tracks macrophages using the Hungarian algorithm. The results showed that the proposed method detected and tracked macrophages in MR images successfully.","PeriodicalId":127139,"journal":{"name":"2015 7th International Conference on Emerging Trends in Engineering & Technology (ICETET)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132317250","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}
Mu-Chen Chen, Yu-Hsiang Hsiao, H. Reddy, M. Tiwari
{"title":"A Particle Swarm Optimization Approach for Route Planning with Cross-Docking","authors":"Mu-Chen Chen, Yu-Hsiang Hsiao, H. Reddy, M. Tiwari","doi":"10.1109/ICETET.2015.12","DOIUrl":"https://doi.org/10.1109/ICETET.2015.12","url":null,"abstract":"In cross-docking operations, planners need to coordinate the inbound, docking and outbound logistics operations to ensure a smooth flow of goods across the supply chain. The operation management of cross docking is a crucial task with high complexity for the logistics systems. This paper attempts to address the Vehicle Routing Problems (VRPs) of distribution centers with multiple cross-docks for processing multiple products. In this paper, the mathematical model intends to minimize the total cost of operations subjected to a set of time and capacity constraints. Due to high complexity of model, a variant of Particle Swarm Optimization (PSO) with a Self-Learning approach is tailored to solve the VRP. Two test problems are generated and results are obtained.","PeriodicalId":127139,"journal":{"name":"2015 7th International Conference on Emerging Trends in Engineering & Technology (ICETET)","volume":"2008 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127317224","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}