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2015 Communication, Control and Intelligent Systems (CCIS)最新文献

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Comprehensive review on Maximum Power Point Tracking techniques: Wind Energy 最大功率点跟踪技术综述:风能
Pub Date : 2015-11-01 DOI: 10.1109/CCINTELS.2015.7437961
Shilpa Mishra, S. Shukla, Nitin Verma, Ritu
Availability of renewable energy resources and their best utilization has now become most preferred research area among power and energy engineers. Due to the most promising features in terms of reliability and efficiency, wind energy can be kept in best corner among all green energy resources which are now being utilized for fulfilling electrical needs. The only negative point that degrades the performance of Wind Energy Conversion System (WECS) in terms of maximum utilization of available power is high variation in wind-velocity (ranging from 3 m/s to 15 m/s and above). Wind energy system has been widely researched so as to extract maximum active power at all possible wind speeds with least detrimental effects on overall performance of plant/system. Here sequential review on Maximum Power Point Tracking (MPPT) techniques is presented. Direct to concept approach is used to describe each method in a way that must be very useful for the beginners in this area. Proper comparison table and charts are used to summarize the work which makes readers more connected to the content. Criteria selected here for comparing different MPPT methods are efficiency, reliability, accuracy, ease in implementation, tracking speed and cost.
可再生能源的可获得性及其最佳利用已成为电力和能源工程师最青睐的研究领域。由于风能在可靠性和效率方面最具前景的特点,它可以在所有绿色能源中保持最佳位置,目前正在用于满足电力需求。就可用功率的最大利用率而言,降低风能转换系统(WECS)性能的唯一负面点是风速的高变化(从3米/秒到15米/秒甚至更高)。为了在所有可能的风速下提取最大的有功功率,同时对电厂/系统的整体性能产生最小的不利影响,风能系统已经得到了广泛的研究。本文对最大功率点跟踪(MPPT)技术进行了综述。直接到概念的方法是用来描述每一种方法的方式,必须是非常有用的初学者在这个领域。适当的对照表和图表用于总结工作,使读者更容易与内容联系起来。这里选择的比较不同MPPT方法的标准是效率、可靠性、准确性、易于实现、跟踪速度和成本。
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引用次数: 27
Detection of human being and non-human object from image and video sequences 从图像和视频序列中检测人类和非人类物体
Pub Date : 2015-11-01 DOI: 10.1109/CCINTELS.2015.7437914
Sudip Kumar Rajak, Sayantani Mondal, I. Ali
This paper represents a new method to classify human or non-human objects from the image and video sequences. A clear detection is essential for such kind of classification. The difficulties that arise during the classification of human being are clothing, illuminations, poses, shadows and shape variations. If the quality of video is not good enough then detection cannot be done perfectly. To avoid these difficulties, we use FCM and k-means based new thresholding technique to decide the threshold point for object detection. Detected object is human being or not is an important task in case of space, security purpose and visual surveillance. So, after the successful detection of object, we use golden ratio as an object classifier to classify it as human or non-human. It is a ratio related to human body parts, such as, height and width of a human body. This ratio also called as divine proportion.
本文提出了一种从图像和视频序列中对人或非人物体进行分类的新方法。对于这种分类,清晰的检测是必不可少的。在人类分类过程中出现的困难是服装,照明,姿势,阴影和形状变化。如果视频质量不够好,那么检测就不能完美地完成。为了避免这些困难,我们使用FCM和基于k-means的新阈值技术来确定目标检测的阈值点。被探测对象是否是人是空间、安全目的和视觉监视的重要任务。因此,在成功检测到目标后,我们使用黄金比例作为目标分类器,将其分类为人类或非人类。它是与人体部位有关的比率,如人体的高度和宽度。这个比例也被称为神圣比例。
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引用次数: 0
Clustering of robotic environment using image data stream 基于图像数据流的机器人环境聚类
Pub Date : 2015-11-01 DOI: 10.1109/CCINTELS.2015.7437910
Priyanka C. Nair, G. Radhakrishnan, Deepa Gupta, T. Sudarshan
Mobile robots are being used in various applications like space shuttles, intelligent home security, military applications or other service oriented applications where human intervention is limited. A robot has to understand its environment by analyzing the data to take the appropriate actions in the given environment. Mostly the data collected from the sensors on the robots are huge and continuous, making it impossible to store the entire data in main memory and hence allowing only single scan of data. Traditional clustering algorithms like k-means cannot be used in such environment as they require multiple scan of data. This paper presents an experimental study on the implementation of Stream KM++, a data stream clustering algorithm that effectively cluster these time series robotic image data within the memory restrictions under various conditions. Promising results are obtained from the various experiments carried out.
移动机器人被用于各种应用,如航天飞机、智能家庭安全、军事应用或其他面向服务的应用,这些应用的人为干预是有限的。机器人必须通过分析数据来了解环境,以便在给定的环境中采取适当的行动。大多数从机器人上的传感器收集的数据是巨大的和连续的,使得不可能将所有数据存储在主存储器中,因此只允许一次扫描数据。传统的聚类算法(如k-means)需要对数据进行多次扫描,因此无法在这种环境下使用。本文对Stream k++的实现进行了实验研究。Stream k++是一种数据流聚类算法,可以在各种条件下在内存限制下有效地聚类这些时间序列机器人图像数据。从进行的各种实验中获得了令人满意的结果。
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引用次数: 4
Identification and localization of event sources in WSN using binary data in fault tolerant way 基于二进制数据的WSN事件源容错识别与定位
Pub Date : 2015-11-01 DOI: 10.1109/CCINTELS.2015.7437892
Chinmay Gordey, V. Deshmukh
This paper examines the problem of identification and localization of event sources in the sensor network. In real life applications the localization is a challenging task because of many constraints on a wireless sensors i.e. sensor node (also called as note) such as short range of communication, short range of sensing, very short amount of storage space and also limited computational capability. We propose a methodology by which we can make the localization task easier. This methodology uses the binary observations of sensor nodes and informs the location of event source to the sink node. Also the system should operate in presence of faults. This is called fault tolerance. The trustworthiness of wireless sensor networks (WSN) is influenced by faults that may cause because of various factors like disturbance, software and hardware defects, ecological harsh conditions, etc. The system proposed in this paper works well in presence of faults as we are masking the faults at the starting of localization phase.
本文研究了传感器网络中事件源的识别和定位问题。在实际应用中,由于无线传感器(即传感器节点)的许多限制(如短距离通信、短距离传感、非常短的存储空间和有限的计算能力),定位是一项具有挑战性的任务。我们提出了一种方法,通过它可以使本地化任务更容易。该方法利用传感器节点的二元观测值,将事件源的位置告知汇聚节点。此外,系统应该在存在故障的情况下运行。这被称为容错。无线传感器网络(WSN)的可靠性受到干扰、软硬件缺陷、生态恶劣条件等多种因素可能导致的故障的影响。本文提出的系统在有故障存在的情况下也能很好地工作,因为我们在定位阶段开始时就对故障进行了屏蔽。
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引用次数: 0
Tuning of generation participation depending upon load demand 根据负载需求调整发电参与
Pub Date : 2015-11-01 DOI: 10.1109/CCINTELS.2015.7437960
P. Mishra, M. Mishra, N. Saxena
Through LFC tie-line interchange power of the area within prescribed limit and scheduled frequency of the system can maintain constant. Generally, Integral (conventional) Controllers are used in Load Frequency Controllers but they are quite slow. In this paper, we have used the PID controller for two-area power system in place of conventional controller and by using various adaption techniques we are tuning controllers. In order to verify the performance of PID and conventional controller, comparative results of both controllers are also presented. Overshoot and settling time are better with PID controller. The result demonstrates the effectiveness of PID controller over conventional controller. Different techniques like Ziegler Nichols and Nonlinear Control Design technique are used for comparing the responses of conventional controllers with PID controllers.
通过LFC联络线交换,使系统在规定的范围内的功率和计划频率保持恒定。一般来说,积分(传统)控制器用于负载频率控制器,但它们相当慢。本文在双区电力系统中采用PID控制器代替传统控制器,并采用各种自适应技术对控制器进行整定。为了验证PID控制器与常规控制器的性能,给出了两种控制器的对比结果。采用PID控制可以提高超调量和稳定时间。结果表明,PID控制器优于常规控制器。不同的技术,如齐格勒尼科尔斯和非线性控制设计技术用于比较传统控制器与PID控制器的响应。
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引用次数: 2
Probabilistic secret sharing scheme for binary images 二值图像的概率秘密共享方案
Pub Date : 2015-11-01 DOI: 10.1109/CCINTELS.2015.7437896
Abhishek Mishra, Ashutosh Gupta
Secure key management is the motivating factor for secret sharing. There are numerous practical situations when it is possible that a single secret key can unlock multiple files. Consider the case when this secret key is lost due to the computer crash or system does not boot, then it is nearly impossible to access those multiple files. In this paper, a probabilistic (2, n) SS scheme based on XOR operation is proposed for binary images. The scheme relies on random generation of matrices over which mathematical and boolean operations are performed to generate secrets. The experimental results shows that the scheme has satisfactory contrast, less prone to security attacks along with reasonable computation time.
安全密钥管理是秘密共享的激励因素。在许多实际情况下,单个密钥可以解锁多个文件。考虑由于计算机崩溃或系统无法启动而丢失此密钥的情况,那么几乎不可能访问这些多个文件。本文提出了一种基于异或运算的二值图像概率(2,n) SS方案。该方案依赖于随机生成的矩阵,在这些矩阵上执行数学和布尔运算来生成秘密。实验结果表明,该方案具有令人满意的对比度,不易受到安全攻击,且计算时间合理。
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引用次数: 0
A comparative study of Differential Evolution and Simulated Annealing for order reduction of large scale systems 大系统降阶的差分进化与模拟退火的比较研究
Pub Date : 2015-11-01 DOI: 10.1109/CCINTELS.2015.7437923
Princy Saraswat, G. Parmar
In this paper, a comparative study of Differential Evolution (DE) and Simulated Annealing (SA) for the order reduction of large scale systems has been carried out. Order reduction is the most important field for analyzing and synthesizing the systems. In the present work, DE and SA along with dominant pole retention technique have been utilized for order reduction of system. The comparison provides the accuracy of techniques in terms of integral square error (ISE) along with time and frequency responses. Also, a comparative study of mentioned techniques with other existing techniques available in the literature has also been given in tabular form. Reduced order system approximates and preserves the stability of the original high order system.
本文对差分进化(DE)和模拟退火(SA)在大系统降阶问题上的应用进行了比较研究。阶数约简是系统分析和综合的重要领域。在本工作中,我们利用DE和SA以及优势极保持技术来降低系统的阶数。比较提供了技术在积分平方误差(ISE)以及时间和频率响应方面的准确性。此外,还以表格形式给出了上述技术与文献中可用的其他现有技术的比较研究。降阶系统近似并保持了原高阶系统的稳定性。
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引用次数: 10
Model order reduction of transformer linear section model using Simulated Annealing 变压器线性截面模型的模拟退火降阶
Pub Date : 2015-11-01 DOI: 10.1109/CCINTELS.2015.7437922
Princy Saraswat, G. Parmar
This brief considers the order reduction of transformer linear section model using combined advantages of Simulated Annealing (SA) and Dominant pole retention technique. SA is a local search method, inspired by the process of physical annealing associated with solids. SA technique in association with dominant pole retention technique shows its effectiveness in obtaining low order model of transformer such that reduced order model approximates the original higher order transformer model and maintains the stability of the original system. The SA optimization method is based on minimization of the integral square error (ISE) between the transient responses of original higher order and the reduced order transformer linear section model. The zeros of reduced order model are obtained using SA by minimizing the ISE between high order and low order models of transformer, while poles are determined by dominant pole retention technique. The algorithm has been illustrated by one transformer model available in the literature. The step and frequency responses of both low and high order transformer models have also been compared along with the transient response parameters and a comparative study of ISE with the other existing techniques has also been given in the tabular form.
本文研究了利用模拟退火和优势极保持技术相结合的优势对变压器线性截面模型进行降阶的方法。SA是一种局部搜索方法,灵感来自与固体相关的物理退火过程。结合优势极保持技术,证明了SA技术在获得变压器低阶模型方面的有效性,使降阶模型近似于原高阶变压器模型,保持了原系统的稳定性。该优化方法基于原高阶变压器线性截面模型与降阶变压器线性截面模型的瞬态响应的积分平方误差(ISE)的最小化。降阶模型的零点是通过最小化变压器高阶模型和低阶模型之间的ISE来实现的,而极点是通过优势极点保持技术来确定的。该算法已通过文献中的一个变压器模型进行了说明。还比较了低阶和高阶变压器模型的阶跃响应和频率响应以及瞬态响应参数,并以表格形式给出了ISE与其他现有技术的比较研究。
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引用次数: 4
Koch fractal antenna using right angled isosceles triangular microstrip patch antenna structure for WiMAX 科赫分形天线采用直角等腰三角形微带贴片天线结构用于WiMAX
Pub Date : 2015-11-01 DOI: 10.1109/CCINTELS.2015.7437875
Manisha Gupta, Vinita Mathur
A dual band CPW-fed Koch fractal antenna, suitable for WLAN and WiMAX operations, is proposed in this paper. The antenna has been designed by increasing the perimeters of right angled isosceles triangular shape patch by using self-similarity property. The proposed antenna is fed by a 50Ω Microstrip line and fabricated on a low-cost FR4 substrate having dimensions 40 (L) × 40 (W) × 1.59(H) mm3. The antenna shows acceptable gain with nearly omni-directional radiation pattern in the frequency band for wireless applications. In second iteration defect in ground is introduced for better gain.
提出了一种适用于WLAN和WiMAX操作的双频cpw馈电Koch分形天线。利用自相似特性,增大直角等腰三角形贴片的周长,设计了天线。所提出的天线由50Ω微带线馈电,并在尺寸为40 (L) × 40 (W) × 1.59(H) mm3的低成本FR4基板上制造。该天线显示出可接受的增益,在无线应用的频段内具有几乎全向的辐射方向图。在二次迭代中,为了获得更好的增益,引入了接地缺陷。
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引用次数: 0
Techniques for optimal placement of DG in radial distribution system: A review 径向配电系统DG优化配置技术综述
Pub Date : 2015-11-01 DOI: 10.1109/CCINTELS.2015.7437959
Purva Sharma, Ankush Tandon
Electricity market reconstituting relegates in power generation technologies and correspondence on the diminution of global greenhouse gas emission have paved the way for an increase in the use of generation. Holocene exploitation in the electric power and difficulty originate from construction and maintenance of large power plants have embossed a gravid deal of interest in distributed power generation. DG is one of the executable option for moderation of problem of load maturation, overloading of lines, timber of supply and reliability in term of exerting equipments maintenance intervals and to abbreviate line losses. Distributed generation is the technique where establishment of the power system as nearer as possible to the consumers and then compare it with the centralized power plants. But there are many difficulties and complexities in placement of DG in radial system, so to overcome these problems (i.e. active and reactive power loss, voltage profile, sizing and sitting of DG, reliability) researchers were used some biological (or) evolutionary algorithms( analytical method, numerical approach, meta-heuristic approach and hybrid approaches). These algorithms follow a strategy where design variables (location, size, type, no. of DG's) and load variables (constant power, variable power) must be considered according to the requirement. These algorithms were tested on a various bus system. This paper presents a brief review of techniques proposed for optimal placement of DG in radial distribution system and those techniques has been shown there effective results.
电力市场的重构、发电技术的升级和全球温室气体减排的对应为发电量的增加铺平了道路。全新世的电力开发和大型发电厂的建设和维护所带来的困难,引起了人们对分布式发电的极大兴趣。从发挥设备维修间隔和减少线路损耗的角度出发,DG是调节负荷成熟、线路过载、供电木材和可靠性问题的可执行方案之一。分布式发电是一种将电力系统建立在离用户尽可能近的地方,然后与集中式发电厂进行比较的技术。但是在径向系统中DG的布放存在许多困难和复杂性,因此为了克服这些问题(如有功和无功损耗、电压分布、DG的尺寸和位置、可靠性),研究人员采用了一些生物(或)进化算法(解析法、数值法、元启发式方法和混合方法)。这些算法遵循这样一种策略,即设计变量(位置、大小、类型、数量)。(DG的)和负载变量(恒功率、变功率)必须根据要求进行考虑。这些算法在不同的总线系统上进行了测试。本文简要介绍了径向配电系统中DG优化配置的技术,并证明了这些技术的有效性。
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引用次数: 14
期刊
2015 Communication, Control and Intelligent Systems (CCIS)
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