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2015 International Conference on Circuits, Power and Computing Technologies [ICCPCT-2015]最新文献

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Smart autonomous self powered wireless sensor networks based low-cost landslide detection system 基于智能自主自供电无线传感器网络的低成本滑坡探测系统
S. Karthik, K. Yokesh, Y. Jagadeesh, R. Sathiendran
Landslides are one of the very serious geologic hazard happens in almost every country around the World. Globally, landslides cause hundreds of thousands of deaths and injuries each year and also Financial Losses. Landslides are mostly unpredictable and occur within a short period of time. To save human life and avoid losses, efficient Technology has to be developed and implemented in high geologically hazardous Areas with low cost. Wireless Sensor Networks Plays a major role in Environment monitoring system. This paper is concerned with the development and implementation of Low cost Autonomous Wireless Sensor Networks based Landslide detection integrated with self-energy harvesting Powered early warning systems (WSN-SEH). WSN-SEH consists of MEMS sensors, Energy harvesting systems, Low power embedded controllers, efficient power Management systems and Super capacitors as storage device.
滑坡是世界上几乎每个国家都会发生的非常严重的地质灾害之一。在全球范围内,山体滑坡每年造成数十万人死亡和受伤,并造成经济损失。山体滑坡大多是不可预测的,而且会在短时间内发生。为了挽救生命,避免损失,必须在高地质危险区以低成本开发和实施高效技术。无线传感器网络在环境监测系统中起着重要的作用。本文研究了基于低成本自主无线传感器网络的滑坡检测与自能量收集供电预警系统(WSN-SEH)的开发与实现。WSN-SEH由MEMS传感器、能量收集系统、低功耗嵌入式控制器、高效电源管理系统和超级电容器作为存储设备组成。
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引用次数: 4
Comparative assessment of the performances of linear quadratic and sliding mode control methodologies in the control of lateral axis of aircraft 线性二次型和滑模控制方法在飞机横轴控制中的性能比较
V. Rajeswari, L. Suresh
The automatic flight control system of an aircraft is very complicated in nature with lot of logics and operational constraints. The study of the detailed automatic flight control and thrust control involves complicated logics for the control functions with closed loop control systems which can be realized in the software. The work is focussed on the redesign of automatic flight control system using robust control methods in MATLAB/Simulink environment. This paper aims at a complete study, analysis, design and performance monitoring of new generation autopilot system using Linear Quadratic Regulator and Sliding Mode Control methods for the control of roll angle of aircraft. Comparison of the results of simulation of the above gives an optimal performance of the autopilot system.
飞机自动飞行控制系统本质上是非常复杂的,有很多逻辑和操作约束。详细的自动飞行控制和推力控制研究涉及复杂的控制功能逻辑,采用闭环控制系统,可在软件中实现。研究了在MATLAB/Simulink环境下利用鲁棒控制方法对自动飞行控制系统进行再设计。本文旨在对采用线性二次型调节器和滑模控制方法控制飞机滚转角的新一代自动驾驶仪系统进行全面的研究、分析、设计和性能监测。通过对上述仿真结果的比较,得出了自动驾驶系统的最优性能。
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引用次数: 1
Development of real time vehicle entry monitoring system 车辆进入实时监控系统的开发
D. A. Ronika, M. S. Godwin Premi
Vehicle monitoring or management system is used to identify vehicles approaching `manned' & `unmanned' Check-Posts at entry/exit with real-time monitoring at the central control room. This paper proposes an entry monitoring system which is mainly focused for university campus. The projected system contains a video camera which is placed in front of the check post and is controlled by a sensor. The video camera which is used can capture slow motion video whenever the check post is raised. The video obtained from the camera is processed and the vehicles are recognized from their number plates. Image processing technique is used to recognize the number from the license plate. The vehicles are identified from the database whether the vehicles belongs to university or unknown. The complete data including vehicle information, timestamp and Check Post details are transmitted in real-time to the central control room that allows authorities to monitor the vehicles. At the central receiver full vehicle entry records are stored and if any unknown vehicle entry is detected it is easily monitored by the central controller.
车辆监控或管理系统用于识别在入口/出口接近“有人”和“无人”检查站的车辆,在中央控制室进行实时监控。本文提出了一种针对高校校园的门禁监控系统。投影系统包含一个摄像机,它被放置在检查站的前面,由一个传感器控制。所使用的摄像机可以在检查站升起时捕捉慢动作视频。从摄像头获得的视频经过处理,并通过车牌识别车辆。采用图像处理技术从车牌中识别车牌号码。无论车辆属于大学还是未知,都可以从数据库中识别车辆。包括车辆信息、时间戳和Check Post详细信息在内的完整数据实时传输到中央控制室,以便当局监控车辆。在中央接收器上存储了完整的车辆进入记录,如果检测到任何未知的车辆进入,中央控制器很容易对其进行监控。
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引用次数: 1
A review on non-destructive methods for the measurement of moisture contents in food items 食品中水分含量无损检测方法综述
K. D. Nath, S. Ramasamy, Y. M. Saranya Das, P. Ramanathan
Moisture content [MC] in food items should be tracked at right time with high precision as it is important for processing and storage of food items. Moisture content in some of the food grains has to be reduced to avoid its damage. In this paper we go through different techniques used to measure MC in different food grains. There are destructive and non-destructive methods to measure MC. In destructive method peanuts or samples have to be cleaned and shells are removed, so that this method is time consuming and samples are wasted. In this paper we study different non-destructive technique, to measure moisture content in which grains or food items can be directly used without any process like cleaning or crushing. Time taken to measure moisture content using this method is less.
食品中的水分含量[MC]对于食品的加工和储存非常重要,因此应在适当的时间进行高精度跟踪。某些粮食中的水分含量必须降低,以避免损坏。在本文中,我们通过不同的技术来测量不同的食品谷物中的纤维素。MC有破坏性和非破坏性两种测量方法。破坏性方法需要将花生或样品清洗干净,剥去外壳,这种方法既耗时又浪费样品。在本文中,我们研究了不同的无损技术,以测量水分含量,其中粮食或食品可以直接使用,而无需任何过程,如清洗或粉碎。使用这种方法测量水分含量所需的时间较少。
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引用次数: 3
Smart measurement techniques for efficient operation of smart grid 智能电网高效运行的智能测量技术
Sonali B. Shinde, P. K. Katti
`Grid' is an electrical network that performs functions like electricity generation, transmission, dispatch and control. The operation of present grid is less efficient due to some of its limitations such as electromechanical nature, one-way communication, centralized generation, few number of sensors and actuators, manual monitoring and restoration, limited control etc. With introduction of `Smart Grid' phenomenon, the improvement in ITC infrastructure, management and control strategies are becoming advanced. This paper highlights the application of one of the Smart infrastructure components called as Smart Meter to prove the feasibility of smart management system by employing accurate load prediction in smart grid.
“电网”是一个具有发电、输电、调度和控制等功能的电网。由于现有电网的机电特性、单向通信、集中发电、传感器和执行器数量少、人工监测和恢复、控制有限等限制,电网运行效率较低。随着“智能电网”现象的引入,ITC基础设施的改善、管理和控制策略也越来越先进。本文重点介绍了智能基础设施组件之一智能电表的应用,以证明智能电网通过准确的负荷预测实现智能管理系统的可行性。
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引用次数: 6
A modern perception for optical diagnosis using simulation techniques 利用模拟技术进行光学诊断的现代感知
R. Velayutham, B. GomathiSundari, M. SeethaSubbulakshmi, L. Suresh
The eye is the most beautiful and the most important sensory organ of the human body. It plays a vital role in our day to day lives. Eye sight is one of our most essential senses as 80% of what we perceive comes through our sense of sight. Moreover, the eyes make an essential contribution to the facial expression and serve for getting into contact with other people; therefore they are an indispensible means of communication. Protection of eyes reduces the odds of loss of sight for the rest of your life. Early detection and diagnosis is a way to achieve a reduction in the percentage of visual impairment. Generally scan reports will be viewed by doctors. So there is a chance for losing the identification of disease or miss prediction of disease due to inconvenience and also some amount of time required for starting the treatment. As a solution to this problem, the proposed system going to be an application that analysis the medical image and reveals the unclear factors which is difficult to view by naked eyes. This system analysis the images by localization followed by segmentation using digital image processing and compare the analyzed images with the sample images using pattern matching and pattern recognition, where the sample images are stored in the database. After knowing the disease stage we have to suggest the treatment for the suffered patient. By using this we can early detect the disease and save the patient's eye.
眼睛是人体最美丽、最重要的感觉器官。它在我们的日常生活中起着至关重要的作用。视觉是我们最基本的感官之一,因为我们80%的感知都是通过视觉来实现的。此外,眼睛对面部表情做出了重要贡献,并为与他人接触服务;因此,它们是一种不可或缺的交流手段。在你的余生中,保护眼睛可以减少失明的几率。早期发现和诊断是降低视力损害百分比的一种方法。一般来说,扫描报告将由医生查看。因此,由于不便和开始治疗所需的时间,有可能失去疾病的识别或错过疾病的预测。为了解决这一问题,本系统将成为医学图像分析和揭示肉眼难以看到的不清晰因素的应用。该系统首先对图像进行定位分析,然后使用数字图像处理进行分割,然后使用模式匹配和模式识别将分析后的图像与样本图像进行比较,并将样本图像存储在数据库中。在了解了疾病的阶段之后,我们必须为病人提出治疗建议。通过这种方法,我们可以早期发现疾病并挽救病人的眼睛。
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引用次数: 1
Performance evaluation of Zig-Bee 802.15.4 WPAN in logical subnet in OPnet modeler OPnet建模器中逻辑子网中zigbee 802.15.4 WPAN的性能评价
Bhumika, A. Parmar
The nascent technological advancement offered a highly complex and competitive environment where service providers are experimenting new options of seamless service in minimum time with the motif of spearheading competitiveness. As the lifestyle of the generation-z citizens are accelerating at jet speed, the expectations of the human beings are to accomplish every job in no time with the help of enhanced Technologies. The more and more technologies are raising, the human wishes are expanding its horizon of expectations by setting up new exceptional targets. One of the major successful technologies that are enabled to provide its best is Wireless Technology. Since then, a lot of wireless technologies have been emerged out. This paper deals with the Zig-Bee wireless technology that is based on an IEEE 802.15 standards. It is developed by Zig-Bee Alliance which is the amalgamation of Ember, Honeywell, Invensys, Mitsubishi, Motorola, Philips, and Samsung etc. Zig-Bee networks provide low cost networks and facilitate low power utilization with low data rate. In this paper, the performance of the network is evaluated with the help of certain parameters.
新兴的技术进步提供了一个高度复杂和竞争的环境,服务提供商正在以领先的竞争力为主题,在最短的时间内试验无缝服务的新选择。随着z世代居民的生活方式以喷气机的速度加速,人类的期望是借助先进的技术在短时间内完成每一项工作。随着科技的不断进步,人类的愿望也在不断地拓展着期望的视野,不断地设定新的超越目标。其中一个主要的成功的技术,使其提供最好的是无线技术。从那时起,出现了许多无线技术。本文研究了基于IEEE 802.15标准的zigbee无线技术。由Ember、霍尼韦尔、英维思、三菱、摩托罗拉、飞利浦、三星等公司合并而成的zigbee联盟开发。zigbee网络提供了低成本的网络,并以低数据速率实现了低功耗。本文利用一定的参数对网络的性能进行了评价。
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引用次数: 1
Design and control of power electronic transformer with power factor correction 带功率因数校正的电力电子变压器的设计与控制
M. Maheswari, N. S. Kumar
This paper proposes the design and control of single phase Power Electronic Transformer (PET). This PET has two stages; the input stage consists of a matrix converter and the output stage has another matrix converter which are connected by a high frequency transformer. It has bidirectional power flow controllability. It can convert high/low voltage into low/high voltage at any frequency. Power factor correction can also be achieved in this transformer. The proposed system uses only two stages, so that the number of switches used is considerably decreased. The converter is simulated using Multisim 13.0 package. Average current controller is used to improve the input power factor and to reduce the source current Total Harmonic Distortion (THD) below 5%. Closed loop control is simulated with the help of LabVIEW 14.0 and found that the Total Harmonic Distortion is well below the acceptable limits. The power factor near to unity is also achieved.
本文提出了单相电力电子变压器(PET)的设计与控制。这种PET有两个阶段;输入级由一个矩阵变换器组成,输出级由一个高频变压器连接另一个矩阵变换器。具有双向潮流可控性。它可以在任何频率将高/低电压转换成低/高电压。功率因数校正也可以在这个变压器中实现。所提出的系统仅使用两个级,因此所使用的交换机数量大大减少。利用Multisim 13.0软件包对该转换器进行仿真。平均电流控制器用于提高输入功率因数,并将源电流总谐波失真(THD)降低到5%以下。利用LabVIEW 14.0对闭环控制进行了仿真,发现总谐波失真远远低于可接受的限值。也实现了接近统一的功率因数。
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引用次数: 3
Classify vehicles: Classification or clusterization? 车辆分类:分类还是聚类?
Lalitha Saroja Thota, Ahmed S. Badawy, Suresh Babu Changalasetty, Wade Ghribi
Vehicle classification has crop up as an important field of study due of its importance in variety of applications like surveillance, security framework, traffic congestion prevention and accidents avoidance. The image sequences for traffic scenes are recorded by a stationary NI smart camera. The video clip is processed in LabVIEW to detect vehicle and measure characteristics like width, length, area, perimeter using image process feature extraction techniques. Data mining is the use of automated data analysis techniques to uncover previously undetected relationships among data items. Two of the major data mining techniques are classification and clustering. To classify a vehicle as big or small needs to classify vehicles into classes. Among many, two techniques in WEKA are feed-forward neural network (NN) classification technique and k-means clustering techniques. To choose between the two techniques is a challenging task. We carry experiments using the extracted features of vehicles from traffic video with both techniques and found that classification model out-performed cluster model by a small degree.
由于车辆分类在监控、安全框架、交通拥堵预防和事故避免等各种应用中具有重要意义,因此成为一个重要的研究领域。交通场景的图像序列由固定的NI智能相机记录。在LabVIEW中对视频片段进行处理,利用图像处理特征提取技术检测车辆的宽度、长度、面积、周长等特征。数据挖掘是使用自动数据分析技术来发现以前未检测到的数据项之间的关系。两种主要的数据挖掘技术是分类和聚类。要将车辆划分为大型或小型,需要将车辆划分为类别。其中,WEKA中的两种技术是前馈神经网络(NN)分类技术和k-means聚类技术。在这两种技术之间做出选择是一项具有挑战性的任务。我们利用这两种方法从交通视频中提取的车辆特征进行实验,发现分类模型的性能略优于聚类模型。
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引用次数: 2
Performance analysis of boost & Cuk converter in MPPT based PV system 基于MPPT的光伏系统中boost & Cuk变换器的性能分析
S. Saravanan, N. R. Babu
Photovoltaic (PV) cell based power generation is best alternative developing for fossil fuel as it does not have pollution issues. This paper focuses on performance of boost and Cuk DC/DC converter, used in MPPT based PV system. Perturb and Observe (P&O) technique used to generate duty cycle of converters. The simulation study is performed using MATLAB/Simulink for the PV system and it has been observed that the Cuk converter produces better results compared with boost converter.
光伏(PV)电池发电因其不存在污染问题而成为化石燃料的最佳替代能源。本文主要研究了用于MPPT光伏系统的boost和Cuk DC/DC变换器的性能。摄动和观察(P&O)技术用于产生变换器的占空比。利用MATLAB/Simulink对PV系统进行了仿真研究,结果表明Cuk变换器比升压变换器具有更好的效果。
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引用次数: 31
期刊
2015 International Conference on Circuits, Power and Computing Technologies [ICCPCT-2015]
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