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2015 5th Nirma University International Conference on Engineering (NUiCONE)最新文献

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Brain computer interface: A review 脑机接口:综述
Pub Date : 2015-11-26 DOI: 10.1109/NUICONE.2015.7449615
Parmar Prashant, A. Joshi, Vaibhav Gandhi
A brain-computer interface (BCI), also referred to as a mind-machine interface (MMI) or a brain-machine interface (BMI), provides a non-muscular channel of communication between the human brain and a computer system. With the advancements in low-cost electronics and computer interface equipment, as well as the need to serve people suffering from disabilities of neuromuscular disorders, a new field of research has emerged by understanding different functions of the brain. The electroencephalogram (EEG) is an electrical activity generated by brain structures and recorded from the scalp surface through electrodes. Researchers primarily rely on EEG to characterise the brain activity, because it can be recorded non-invasively by using portable equipment. The EEG or the brain activity can be used in real time to control external devices via a complete BCI system. A typical BCI scheme generally consists of a data acquisition system, pre-processing of the acquired signals, feature extraction process, classification of the features, post-processing of the classifier output, and finally the control interface and device controller. The post-processed output signals are translated into appropriate commands so as to control output devices, with several applications such as robotic arms, video games, wheelchair etc.
脑机接口(BCI),也被称为脑机接口(MMI)或脑机接口(BMI),提供了人类大脑和计算机系统之间的非肌肉通信通道。随着低成本电子设备和计算机接口设备的进步,以及为患有神经肌肉疾病的残疾人提供服务的需要,通过了解大脑的不同功能,出现了一个新的研究领域。脑电图(EEG)是由大脑结构产生的电活动,通过电极从头皮表面记录下来。研究人员主要依靠脑电图来描述大脑活动,因为它可以通过使用便携式设备进行无创记录。脑电图或大脑活动可以通过一个完整的脑机接口系统实时控制外部设备。典型的BCI方案一般包括数据采集系统、采集信号的预处理、特征提取过程、特征分类、分类器输出的后处理,最后是控制接口和设备控制器。将后处理后的输出信号转换成相应的命令,从而控制输出设备,应用于机械臂、电子游戏、轮椅等。
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引用次数: 9
Optimal placement of TCSC for improvement of static voltage stability 优化TCSC的位置以提高静态电压稳定性
Pub Date : 2015-11-01 DOI: 10.1109/NUICONE.2015.7449633
Aesha Sheth, C. Kotwal, S. Pujara
Voltage instability in power system is a major issue in electrical power system operation. Voltage instability occurs mainly due to deficit of reactive power at load buses during some contingency or under increased loading condition. Flexible AC Transmission System (FACTS) devices can improve the voltage stability with reduction of losses and generation cost. Thyristor Controlled Series Compensator (TCSC) is a series FACTS device, which can improve voltage stability with improved power transfer capability of the transmission line. Like other FACTS devices, TCSC is costly and it is required to find its optimal location and size for improvement of voltage stability. Here Particle Swarm Optimization (PSO) and PSO with time varying acceleration coefficient (PSO-TVAC), used to locate a TCSC of an optimum rating for voltage stability improvement of power system. Line Stability Index (LSI) is considered here for optimization purpose which provides the information about the stability condition of a power system and its proximity to voltage collapse. The analysis has been demonstrated on a standard IEEE 6-bus system with some modification in load data and overloading condition using MATLAB. PSO-TVAC gives fast convergence than PSO.
电力系统电压不稳定是电力系统运行中的一个主要问题。电压不稳定主要是由于在某些突发情况下或在负荷增加的情况下,负载母线出现无功亏缺。柔性交流输电系统(FACTS)装置可以提高电压稳定性,降低损耗和发电成本。晶闸管控制串联补偿器(TCSC)是一种串联FACTS器件,可以提高输电线路的电压稳定性,提高输电线路的输电能力。与其他FACTS器件一样,TCSC价格昂贵,需要找到其最佳位置和尺寸以提高电压稳定性。本文采用粒子群算法(PSO)和带时变加速度系数的粒子群算法(PSO- tvac)来定位最优额定值的TCSC,以提高电力系统的电压稳定性。本文考虑了线路稳定指数(LSI)的优化目的,它提供了电力系统的稳定状态及其接近电压崩溃的信息。在一个标准的IEEE 6总线系统上,对负载数据和过载条件进行了一些修改,并利用MATLAB进行了验证。PSO- tvac具有比粒子群算法更快的收敛速度。
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引用次数: 9
Comparative analysis of zoning based methods for Gujarati handwritten numeral recognition 基于分区的古吉拉特手写体数字识别方法比较分析
Pub Date : 2015-11-01 DOI: 10.1109/NUICONE.2015.7449632
Ankit Sharma, D. Adhyaru, T. Zaveri, Priyank Thakkar
Gujarati is one of the ancient Indian languages spoken widely by the people of Gujarat state. This paper is concerned with the recognition of handwritten Gujarati numerals. For recognition of Gujarati numerals zoning based Feature extraction method is used. Numeral image is divided in 16×16, 8×8, 4×4 and 2×2 Zones. After feature extraction through the zoning method, Naive Bayes classifier and multilayer feed forward neural network classifier are implemented for the classification of numerals. For the database generation, 14,000 samples of each numeral are used. The overall recognition rates of this method used for recognition of Gujarati numeral using 16×16, 8×8, 4×4 and 2×2 zoning with neural network are 93.03%, 95.92%, 91.89% and 61.78% and with Naive Bayes classifier are 75%, 85.60%, 81% and 53.75% respectively.
古吉拉特语是古吉拉特邦人民广泛使用的古印度语言之一。这篇论文是关于手写古吉拉特数字的识别。对于古吉拉特数字的识别,采用了基于分区的特征提取方法。数字图像分为16×16、8×8、4×4和2×2四个区域。通过分区法提取特征后,实现朴素贝叶斯分类器和多层前馈神经网络分类器对数字进行分类。对于数据库生成,每个数字使用14,000个样本。该方法对16×16、8×8、4×4和2×2分区识别古吉拉特数字的总体识别率分别为93.03%、95.92%、91.89%和61.78%,对朴素贝叶斯分类器的总体识别率分别为75%、85.60%、81%和53.75%。
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引用次数: 14
USB based high speed data acquisition system 基于USB的高速数据采集系统
Pub Date : 2015-11-01 DOI: 10.1109/NUICONE.2015.7449614
P. Pranav, Pinky J. Brahmbhatt, U. Rao
Present day long format sensors generate a large volume of data thus demanding high-speed data acquisition systems, processing and real-time image display. USB owing to it's features like high data transmission, plug and play, hot plugging, portability, simple interface etc. is best suited for such applications with minimum power and real estate. An attempt is made to design USB based PC peripheral for data acquisition systems/ PC peripheral thus eliminating bulky conventional data acquisitions systems and to design USB (FT2232H) based data acquisition (DAQ) system. Analog front-end device (AFE) with 16-bit ADC is used to quantify analog to 16-bit digital data at 10MSps. `LabVIEW' is a graphical programming environment used for real-time data acquisition, processing and display. This paper summarizes details on design aspects of DAQ system and test results. The developed hardware is low cost, portable, miniaturized, and reliable even at high speeds thus giving an edge over contemporary bulky DAQ systems.
目前,长格式传感器产生大量数据,因此需要高速数据采集系统,处理和实时图像显示。USB由于其特点,如高数据传输,即插即用,热插拔,便携性,简单的接口等,是最适合这样的应用与最小的功率和房地产。尝试设计基于USB的数据采集系统/ PC外设,从而消除笨重的传统数据采集系统,并设计基于USB (FT2232H)的数据采集(DAQ)系统。模拟前端设备(AFE)与16位ADC用于量化模拟到16位数字数据在10MSps。LabVIEW是一个用于实时数据采集、处理和显示的图形化编程环境。本文对数据采集系统的设计细节和测试结果进行了总结。开发的硬件成本低,便携,小型化,即使在高速下也可靠,因此比当代笨重的DAQ系统具有优势。
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引用次数: 8
Pose, illumination and expression invariant face recognition using laplacian of Gaussian and Local Binary Pattern 基于拉普拉斯高斯和局部二值模式的姿态、光照和表情不变人脸识别
Pub Date : 2015-11-01 DOI: 10.1109/NUICONE.2015.7449622
Pradip Panchal, Palak Patel, V. Thakkar, Rachna Gupta
This paper presents an effective approach for the application of Face Recognition using Local Binary Pattern operator. The face image is firstly divided in to the sub regions to generate the locally enhanced Local Binary Histogram, which provide the features information on pixel level by creating LBP labels for histogram. Global Local Binary Histogram for the entire face image is obtained by concatenating all the individual local histograms. As a pre-processing technique the differential excitation of pixel is used to make the algorithm invariant to the illumination changes. The performance of the algorithm is verified under constrains like pose, illumination and expression variation.
提出了一种应用局部二值模式算子进行人脸识别的有效方法。首先将人脸图像划分为子区域,生成局部增强的局部二值直方图,通过对直方图创建LBP标签来提供像素级的特征信息;整个人脸图像的全局局部二值直方图是由所有的局部直方图拼接而成的。作为一种预处理技术,利用像素的差分激励使算法不受光照变化的影响。在姿态、光照和表情变化等约束条件下验证了算法的性能。
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引用次数: 13
Indian transformer industry gearing up for next-gen green liquids 印度变压器行业正在为下一代绿色液体做准备
Pub Date : 2015-11-01 DOI: 10.1109/NUICONE.2015.7449605
D. Mehta, P. Kundu, A. Chowdhury
Transformer mineral oil has proved its suitability with transformer as an insulating medium, a coolant and a diagnostic tool over the past 100 years. Mineral oil is an environmental hazard which is not only toxic for human health, but also non-biodegradable and fast depleting (being a petroleum product). Also, this is not fire safe due to low flash & fire points. Transformer industry therefore, is seeing synthetic esters and natural esters liquids produced from various crop seeds (sunflower, soya bean etc.) as a substitute to mineral oil. The paper deals with challenges in designing, manufacturing, processing and operation of ester immersed transformers. It also discusses different tests carried out on natural ester liquid in factory received condition. The Paper also discusses the current status of Indian Transformer Industry in developing the ester immersed transformers for Indian utilities and development of Indian Standards on Green liquids.
在过去的100年里,变压器矿物油已经证明了它作为绝缘介质、冷却剂和诊断工具的适用性。矿物油是一种环境公害,不仅对人体健康有害,而且不可生物降解,消耗快(作为石油产品)。此外,由于低闪点和着火点,这是不安全的。因此,变压器行业正在看到由各种作物种子(向日葵,大豆等)生产的合成酯和天然酯液体作为矿物油的替代品。论述了酯浸式变压器在设计、制造、加工和运行中面临的挑战。讨论了在工厂接收条件下对天然酯液进行的不同试验。本文还讨论了印度变压器行业在开发用于印度公用事业的酯浸式变压器和制定印度绿色液体标准方面的现状。
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引用次数: 3
Digital protection strategy of microgrid with relay time grading using particle swarm optimization 基于粒子群优化的微电网继电时间分级数字保护策略
Pub Date : 2015-11-01 DOI: 10.1109/NUICONE.2015.7449612
Hemang S. Pandya, Daivik M. Pandeji, Rohini K. Iyer, P. M. Purohit
Microgrid is a callow concept to utilize distributed generation optimally at load end of the conventional distribution networks. As most of the distributed energy resources are intermittent in nature the control and protection become very critical due to varying fault levels. Because of two way energy route in microgrid during Grid Connected mode the fault level drastically changes since grid generators also contribute to fault currents. The utmost importance has been given to protective relaying schemes for the microgrid in recent years. Digitization plays crucial role in the development of protection since the evolution of numerical relays. This paper presents the digital protection methodology for the microgrid using Particle Swarm Optimization (PSO) technique. The parallel feeder protection with the directional feature is introduced and Time Multiplier Setting (TMS) and Plug Setting Multiplier (PSM) for the same are optimized using PSO. A novel time grading scheme is introduced for the faster back up protection. MATLAB/SIMULINK environment is used to simulate the results.
微电网是在传统配电网负荷端优化利用分布式发电的新概念。由于大多数分布式能源是间歇性的,因此由于故障水平的变化,控制和保护变得非常重要。在并网模式下,由于微电网的双向能量路径,由于电网发电机也对故障电流有贡献,故障水平发生了巨大变化。近年来,微电网的继电保护方案受到了极大的重视。自数字继电器发展以来,数字化对保护技术的发展起着至关重要的作用。提出了一种基于粒子群优化技术的微电网数字保护方法。引入了具有定向特性的并联馈线保护,并利用粒子群算法对其时间乘法器(TMS)和插头乘法器(PSM)进行了优化。为了实现更快的备份保护,提出了一种新的时间分级方案。采用MATLAB/SIMULINK环境对结果进行仿真。
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引用次数: 1
Gestures based wireless robotic control using image processing 基于手势的无线机器人控制使用图像处理
Pub Date : 2015-11-01 DOI: 10.1109/NUICONE.2015.7449642
Ganrav Chanhan, Prasad Chandhari
Many people in this world are known to gestures, a powerful communication medium amongst humans. They say actions speak louder than words. Communicating with gestures is a powerful method. Industrial as well as robots used for home purpose are often controlled by remote controllers. The use of gestures as a way to control can help a lot providing ease and can be more useful for the handicapped. Gestures provide a separate complementary modality to speech for expressing ones ideas. Furthermore, Image processing is one of the most effective method used to process image signals. The main purpose of gesture recognition research is to identify a particular human gesture and convey information to the user pertaining to individual gesture. Sign language recognition from hand motions or postures is an active area in gesture recognition research for Human Computer Interaction (HCI). This paper aims to brief the practical approach of robotics through an effective method of image processing using gestures as a mode of control.
这个世界上的许多人都知道手势,这是人类之间强大的沟通媒介。他们说行动比语言更响亮。用手势交流是一种强大的方法。工业机器人和家用机器人一样,都是由遥控器控制的。使用手势作为一种控制方式可以提供很多帮助,并且对残疾人更有用。手势为表达自己的想法提供了一种独立的补充方式。此外,图像处理是处理图像信号最有效的方法之一。手势识别研究的主要目的是识别特定的人类手势,并将与单个手势相关的信息传递给用户。手势识别是人机交互(HCI)手势识别研究的一个热点。本文旨在通过使用手势作为控制模式的有效图像处理方法,简要介绍机器人的实际方法。
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引用次数: 4
Robotics based simultaneous localization and mapping of an unknown environment using Kalman Filtering 基于卡尔曼滤波的机器人同步定位和未知环境映射
Pub Date : 2015-11-01 DOI: 10.1109/NUICONE.2015.7449602
Akshay Mane, Mahesh Parihar, S. Jadhav, Bhavesh B. Digey
In this paper, Robotic application using a microcontroller ATmega2560 based kit mounted with low cost IR sensors for mapping and localization of unknown area is accurately carried out by using Kalman Filtering to determine or measure different parameters. This paper highlights the comparison between the accuracies of output data obtained from IR sensor using Average Technique as well as Kalman Filter. Various cases depending on robot movement in forward and backward direction and wheel rotation in clockwise and anticlockwise direction, are considered in this paper to calculate position encoder resolution. Also probabilistic estimation of actual position of robot is carried out using different techniques i.e Probability Density Function (P.D.F) for verifying the uncertainty in its position and found to be very close to actual position. Simultaneous Localization And Mapping (SLAM) is the only way a robot can navigate through an unknown environment with the use of minimum sensors and get reliable output of the same in identifying an unknown area. Using this method the robot not only create a map more accurate than GPS maps but also localize itself to determine its next position according to the map created more accurately at lower cost. Primarily used for creating a map of an unknown location, this concept can also be used to perform Qualitative Analysis of a given area by equipping the robot with appropriate sensors.
在本文中,机器人应用使用基于微控制器ATmega2560的套件,安装低成本的红外传感器,通过卡尔曼滤波来确定或测量不同的参数,精确地进行未知区域的测绘和定位。本文重点比较了用平均法和卡尔曼滤波对红外传感器输出数据的精度。在计算位置编码器分辨率时,本文考虑了机器人前后运动和车轮顺时针、逆时针旋转的各种情况。利用概率密度函数(Probability Density Function, P.D.F)等不同的技术对机器人的实际位置进行概率估计,以验证机器人位置的不确定性,并发现与实际位置非常接近。同时定位和绘图(SLAM)是机器人在未知环境中使用最少传感器并获得可靠输出以识别未知区域的唯一方法。利用这种方法,机器人不仅能绘制出比GPS地图更精确的地图,而且还能以更低的成本对自己进行定位,根据绘制的地图更精确地确定自己的下一个位置。这个概念主要用于创建未知位置的地图,也可以通过为机器人配备适当的传感器来对给定区域进行定性分析。
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引用次数: 1
Design and implementation of isolated 30 V, 30 A DC power supply using synchronous rectifier 采用同步整流器的隔离式30v、30a直流电源的设计与实现
Pub Date : 2015-11-01 DOI: 10.1109/NUICONE.2015.7449634
Anand Sheth, M. Shah, V. Patel, Vijendra Kharbikar
With advancement in modern power electronics, low voltage, high current DC power supply is used extensively in industrial applications like arc furnace, fusion technology, arc welding etc. Conventional isolated full bridge DC-DC converter has many limitations like lower efficiency, higher weight and size. The main aim of this paper is to meet design requirements for many industrial applications like isolation between source and load, minimization of switching loss, high conversion efficiency, lower output voltage and current ripple and compactness. Phase shifted full bridge topology along with ZVS (Zero Voltage Switching) is selected to reduce switching losses and to improve the performance of the power supply. In low voltage applications, conduction loss of the diode bridge rectifier at secondary side contributes significant power losses. To improve the efficiency of converter synchronous rectifier technique is adopted. Simulation is done in PSIM software to validate the performance of power supply with isolated phase shifted full bridge topology along ZVS and center tap synchronous rectifier.
随着现代电力电子技术的发展,低压大电流直流电源在电弧炉、熔合、电弧焊等工业应用中得到了广泛的应用。传统的隔离式全桥DC-DC变换器存在效率低、重量大、体积大等缺点。本文的主要目的是满足许多工业应用的设计要求,如源负载隔离,最小的开关损耗,高转换效率,低输出电压和电流纹波以及紧凑性。选择移相全桥拓扑以及零电压开关(ZVS)来降低开关损耗并提高电源的性能。在低压应用中,二次侧二极管桥式整流器的导通损耗会造成很大的功率损耗。为了提高变流器的效率,采用了同步整流技术。在PSIM软件中进行了仿真,验证了沿ZVS隔离移相全桥拓扑和中心抽头同步整流电源的性能。
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引用次数: 2
期刊
2015 5th Nirma University International Conference on Engineering (NUiCONE)
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