2016 IEEE Region 10 Conference (TENCON)最新文献_第9页

Ultrahigh birefringent index guiding photonic crystal fibers 超高双折射率导向光子晶体光纤

2016 IEEE Region 10 Conference (TENCON) Pub Date : 2016-11-01 DOI: 10.1109/TENCON.2016.7848534

Md Nafiz Amin, M. Faisal, Md. Mostafizur Rahman

引用次数: 2

Spectral analysis of SPWM controlled cascaded three-level inverter drive SPWM控制级联三电平逆变器驱动的频谱分析

2016 IEEE Region 10 Conference (TENCON) Pub Date : 2016-11-01 DOI: 10.1109/TENCON.2016.7848092

Pratibha N, S. Srinivas

引用次数: 6

Grid code compliance for grid-connecting a PV system to an existing facility in Singapore 新加坡光伏系统与现有设施并网的电网规范合规性

2016 IEEE Region 10 Conference (TENCON) Pub Date : 2016-11-01 DOI: 10.1109/TENCON.2016.7848056

L. Brenda, T. Logenthiran, K. Yathunanthan, P. Amirthan

引用次数: 0

Experimental implementation of direct torque control of open end winding induction motor 开放式绕组异步电动机直接转矩控制的实验实现

2016 IEEE Region 10 Conference (TENCON) Pub Date : 2016-11-01 DOI: 10.1109/TENCON.2016.7848666

K. Kumar, T. Kumar

引用次数: 10

The simplest rectifier topology tolerant of load resistance variation and circuit analysis by square-wave approximation 最简单的整流器拓扑结构对负载电阻变化的容忍度及方波近似电路分析

2016 IEEE Region 10 Conference (TENCON) Pub Date : 2016-11-01 DOI: 10.1109/TENCON.2016.7848327

Kyohei Yamada, Y. Miyazaki, S. Abe, N. Sakai, T. Ohira

{"title":"The simplest rectifier topology tolerant of load resistance variation and circuit analysis by square-wave approximation","authors":"Kyohei Yamada, Y. Miyazaki, S. Abe, N. Sakai, T. Ohira","doi":"10.1109/TENCON.2016.7848327","DOIUrl":"https://doi.org/10.1109/TENCON.2016.7848327","url":null,"abstract":"We propose a novel, extremely simple rectifier whose input impedance is insensitive to the variation of the load resistance. Thanks to this insensitivity, the reflection loss caused by the load variation is minimized, and thus the rectifier keeps high efficiency in a wide load range. This characteristic is welcomed by wireless power transfer, especially for variable or unstable load resistance. The wide-load-range characteristic is demonstrated by time domain analysis with a new approximation technique. By employing a square-wave-stimulus approximation, we find that the rectifier has two conduction modes and autonomously selects a preferable mode depending on the load resistance. Under a light load condition, the rectifier works like a single series rectifier and the input impedance is proportional to the load resistance. Under a heavy load condition, the rectifier works in a peculiar manner unlike any other rectifiers, and the input impedance is inversely proportional to the load resistance. The condition of the light and heavy load is also clearly formulated by the analysis. The comparison with the simulation result shows that the approximated analysis reflects the rectifier's behavior well, and so the result is useful for the analysis and the design of the proposed rectifier.","PeriodicalId":246458,"journal":{"name":"2016 IEEE Region 10 Conference (TENCON)","volume":"160 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":"124493597","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}

引用次数: 1

A multi clue heuristic based algorithm for table detection 基于多线索启发式的表检测算法

2016 IEEE Region 10 Conference (TENCON) Pub Date : 2016-11-01 DOI: 10.1109/TENCON.2016.7848210

G. V. S. S. K. Naganjaneyulu, N. V. Sathwik, A. V. Narasimhadhan

引用次数: 4

Robots for the bottom of the pyramid: Mobile robot racing over the internet 金字塔底层的机器人:移动机器人在互联网上比赛

2016 IEEE Region 10 Conference (TENCON) Pub Date : 2016-11-01 DOI: 10.1109/TENCON.2016.7848104

V. S. Harini, M. Dharani, K. V. Balaji, S. Pandian

{"title":"Robots for the bottom of the pyramid: Mobile robot racing over the internet","authors":"V. S. Harini, M. Dharani, K. V. Balaji, S. Pandian","doi":"10.1109/TENCON.2016.7848104","DOIUrl":"https://doi.org/10.1109/TENCON.2016.7848104","url":null,"abstract":"Innovative and quality education for all is a major precondition for smart nations. Children and youth are fascinated by mechanisms, machines and robots. Therefore, robotics using inexpensive open source hardware and software is increasingly being used in innovative STEM education. But, developing countries in Asia, Africa and Latin America are well behind the curve in the use of robots in schools and colleges. An innovative and extremely affordable robotic system is developed in this paper, whereby school children anywhere can go online and race multiple indoor mobile robots over the Internet. Virtual reality and force feedback are used to make the racing realistic and interactive. Children will be introduced to building their own inexpensive mobile robots using commercial, off-the-shelf components and materials. Advanced learners, e.g., college and university students, can modify and improve the hardware and software for Internet-based teleoperation. The project can be used to introduce or improve robotics education at a low cost among school children, while providing opportunities in service learning for college/university students.","PeriodicalId":246458,"journal":{"name":"2016 IEEE Region 10 Conference (TENCON)","volume":"80 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":"124630591","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}

引用次数: 0

Performance analysis of various segmentation techniques for detection of brain abnormality 脑异常检测中各种分割技术的性能分析

2016 IEEE Region 10 Conference (TENCON) Pub Date : 2016-11-01 DOI: 10.1109/TENCON.2016.7848387

M. Sumithra, B. Deepa

{"title":"Performance analysis of various segmentation techniques for detection of brain abnormality","authors":"M. Sumithra, B. Deepa","doi":"10.1109/TENCON.2016.7848387","DOIUrl":"https://doi.org/10.1109/TENCON.2016.7848387","url":null,"abstract":"In the field of neuropsychiatric disorders, it is known that brain segmentation is important for both detection and diagnosis. Processing of MRI/PET images for brain pathology detection is a challenging task for radiologists. To address this issue the performance of various segmentation techniques has been analyzed with Independent component analysis (ICA) as a pre-processing step for removal of salt and pepper and speckle noise at 5dB noise level. There are so many segmentation methodology used for medical diagnosis, which comes under the classification strategy like supervised and unsupervised segmentation, region and edge based segmentation. The methodologies considered in this paper will cover the main classification strategy of segmentation for brain abnormality. Mean Shift (MS), Fuzzy C Means (FCM), Hough Transform (HT), Normalized Graph Cut (NGC), Thresholding by Histogram (ThH) and Support Vector Machine (SVM) are taken here for performance analysis. Experimental results suggest that, for PET images, pathology detection is found good while using ICA as denoising method for removing salt and pepper and speckle noise at 5dB and SVM as segmentation technique. Whereas for MRI images the performance of both ThH and SVM goes hand in hand as a segmentation methodology with ICA as noise removal method. The evaluation measure used here are Jaccard and Dice Coefficient, Peak Signal to Noise Ratio (PSNR), Global Consistency Error (GCE), Under Segmentation (UnS), Over segmentation (OvS) and Incorrect Segmentation (InC), Selectivity, Specificity, Accuracy, Positive predictive value (PPV) and Negative predictive value (NPV) . From the obtained results it is seen that SVM gives better result for detection of mild cognitive impairment in PET scan images and both SVM and ThH is performing good for brain tumor detection in MRI images, without affecting the image quality.","PeriodicalId":246458,"journal":{"name":"2016 IEEE Region 10 Conference (TENCON)","volume":"61 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":"124686301","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}

引用次数: 16

AES in partially reconfigurable CGRAs AES在部分可重构的CGRAs

2016 IEEE Region 10 Conference (TENCON) Pub Date : 2016-11-01 DOI: 10.1109/TENCON.2016.7848368

Chinmaya Dash, K. Paul, D. R. Chowdhury

{"title":"AES in partially reconfigurable CGRAs","authors":"Chinmaya Dash, K. Paul, D. R. Chowdhury","doi":"10.1109/TENCON.2016.7848368","DOIUrl":"https://doi.org/10.1109/TENCON.2016.7848368","url":null,"abstract":"Encryption standards demand significant compute capabilities and hence they have often been implemented in FPGAs to satisfy performance requirements. In recent times, coarse grain reconfigurable architectures (CGRA) have become popular for building high throughput applications. In many cases, the regular nature of CGRAs allow the architecture to be clocked at frequencies in excess of 400MHz enabling high throughputs. In this work, we use a model coarse grain reconfigurable fabric to explore the potential of implementing the Advanced Encryption Standard (AES). This coarse grain reconfigurable array with malleable communication links is used to build a multiprocessor archirecture for the highly compute intensive kernel and also exploits dynamic reconfiguration. The semi-systolic near neighbour communication interconnect can be dynamically reconfigured for each “epoch” of computation. Different rounds of the application are computed in different tiles for different blocks of plain text . The paper proposes a radically different implementation of AES where randomization of the computation in each round is achieved which enables us to mitigate the side channel attack vulnerabilities associated with any memory based implementation.","PeriodicalId":246458,"journal":{"name":"2016 IEEE Region 10 Conference (TENCON)","volume":"12 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":"129907945","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}

引用次数: 0

Olfactory classification using electronic nose system via artificial neural network 利用人工神经网络对电子鼻系统进行嗅觉分类

2016 IEEE Region 10 Conference (TENCON) Pub Date : 2016-11-01 DOI: 10.1109/TENCON.2016.7848722

Aaron Paulo D. Heredia, F. Cruz, Jessie R. Balbin, Wen-Yaw Chung

引用次数: 11