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2016 3rd International Conference on Advanced Computing and Communication Systems (ICACCS)最新文献

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A survey on node discovery in Mobile Internet of Things(IoT) scenarios 移动物联网(IoT)场景中的节点发现研究
M. Valarmathi, L. Sumathi, G. Deepika
Internet of Things (IoT) paradigm is gaining immense importance in today's world of rapid connectivity. Mobile IoT scenario like Smart City is characterized by short and recurrent contact between IoT devices. The existence of contacts between the mobile and infrastructure devices is an enabler for nodes to discover their neighbors to relay data. A recent chapter in research aims at learning the mobility pattern of devices to improve efficiency of discovery. In this paper, various techniques that are available for neighbor discovery are discussed and it is shown that knowledge integration in the process of node discovery leads to efficient scheduling of resources.
物联网(IoT)范式在当今快速连接的世界中变得越来越重要。像智慧城市这样的移动物联网场景的特点是物联网设备之间的短暂和反复接触。移动设备和基础设施设备之间存在的联系使节点能够发现它们的邻居以中继数据。最近的一章研究旨在学习设备的移动模式,以提高发现的效率。本文讨论了各种可用于邻居发现的技术,并证明了节点发现过程中的知识集成可以有效地调度资源。
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引用次数: 11
Power quality improvement of 1-φ grid integrated pulse width modulated voltage source inverter using hysteresis Current Controller with offset band 利用带偏置带的迟滞电流控制器改善1-φ栅极集成脉宽调制电压源逆变器的电能质量
S. Jena, Bhabasis Mohapatra, C. Panigrahi, Subodh Kumar Mohanty
At present-day scenario, renewable energy sources become a substitute source of energy to reduce environment pollution and future energy demand. Commonly pulse width modulated voltage source inverter is widely used for the interconnecting renewable to the existing grid. For the control of the converter hysteresis current controller is one of the popular control strategies. But hysteresis Current Controller has the drawback of inconsistence switching frequency. In this paper a hysteresis current controller with offset band for single phase grid integrated pulse width modulated voltage source inverter has been implemented. In the conventional hysteresis current controller an offset band is introduced for considerable diminution in switching frequency and better power quality. The MATLAB-Simulink environment is used to model, study and simulate the system.
在目前的情况下,可再生能源成为减少环境污染和未来能源需求的替代能源。通常脉宽调制电压源逆变器被广泛用于可再生能源与现有电网的互联。对于变换器的控制,迟滞电流控制器是常用的控制策略之一。但磁滞电流控制器的缺点是开关频率不一致。针对单相电网集成脉宽调制电压源逆变器,设计了一种带偏置带的磁滞电流控制器。在传统的迟滞电流控制器中,为了大幅度降低开关频率和提高电能质量,引入了偏置带。利用MATLAB-Simulink环境对系统进行建模、研究和仿真。
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引用次数: 6
Study of normal and abnormal EEG 正常与异常脑电图的研究
John William Carey Medithe, U. R. Nelakuditi
Electroencephalogram (EEG) is the most efficient medical imaging tool to analyze and interpret the characteristics of the brain disorder which helps the physician to diagnose the brain disorder patient. EEG signal is a representation of electrical activity over the surface of the brain with respect to time, this electrical activity is caused by the firing of neurons. If these neurons fire in anomalous manner, results in sudden impulses which can be stated as Seizures. If this unusual firing of nerve cells occurs in severe, may result in a shake and loss of control in the subject sometime. EEG waveform information about frequency, amplitude and shape are entirely dependent on the subjects age, state of alertness and location on scalp where the EEG is drawn with electrodes. An EEG waveform is said to be abnormal when the EEG waveform exhibits unusual characteristics which does not match to the subject's state of alertness, age and other factors. In this article it is to study the different types of EEG waveforms both in the case of normal and abnormal and further concentrated on the abnormalities both in the foam of Epileptical and Non-Epileptical. These abnormalities are internally classified as focal and generalized seizures. The comparable tabular form is given to the each type of EEG waveform based on their characteristics.
脑电图(EEG)是分析和解释脑部疾病特征的最有效的医学影像工具,有助于医生对脑部疾病患者进行诊断。脑电图信号是脑表面相对于时间的电活动的表现,这种电活动是由神经元的放电引起的。如果这些神经元以异常的方式放电,就会导致突然的脉冲,也就是癫痫发作。如果这种不寻常的神经细胞放电在严重的情况下发生,可能会导致受试者在某个时候颤抖和失去控制。脑电图波形的频率、幅度和形状信息完全取决于受试者的年龄、警觉性状态和电极绘制脑电图的头皮位置。当脑电图波形表现出不寻常的特征,与受试者的警觉性状态、年龄和其他因素不匹配时,脑电图波形就被称为异常。本文对正常和异常情况下不同类型的脑电图波形进行了研究,并进一步集中研究了癫痫性和非癫痫性泡沫的异常。这些异常在内部分为局灶性和全身性癫痫发作。根据每种脑电图波形的特点,给出了可比较的表格形式。
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引用次数: 20
Evaluation of IEEE standard 1459-2010 power components using stationary wavelet transform 基于平稳小波变换的IEEE 1459-2010功率元件评价
D. Manimala, D. Sundararajan
IEEE 1459-2010 defines a set of power components for measuring power quality factors such as active power, reactive power and apparent power. In a recent paper, the stationary wavelet transform has been proposed to evaluate the power components. In this paper, the use of the stationary wavelet transform to evaluate the power components, as defined by the standard, will further be investigated. Simulation results and computational complexity are provided to validate the proposed approach.
IEEE 1459-2010定义了一套用于测量有功功率、无功功率和视在功率等电能质量因素的功率元件。在最近的一篇论文中,提出了平稳小波变换来评估功率分量。在本文中,将进一步研究使用平稳小波变换来评估标准中定义的功率分量。仿真结果和计算复杂度验证了该方法的有效性。
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引用次数: 3
Open circuit switch fault diagnosis methods for VSI fed induction motor drive VSI感应电动机驱动开路开关故障诊断方法
S. Anupama, S. Priya
This paper is a brief survey of various existing methods for an open circuit switch fault diagnosis methods with special focus on three phase voltage source inverters. 15 such methods for open circuit faults has been studied and compared. A new real time fault diagnosis method for three phase pulse width modulated voltage source inverter fed vector controlled induction motor drive is presented in a brief which can detect both single and double switches faults. By the proposed method it has a tendency to get high potency compared with all existing methods. Finally the MATLAB/SIMULINK simulations are carried out which shows the effectiveness and merits of the proposed method.
本文简要综述了现有的各种开路开关故障诊断方法,重点介绍了三相电压源逆变器的故障诊断方法。对这15种方法进行了研究和比较。简要介绍了一种新的三相脉宽调制电压源逆变器馈控矢量感应电动机驱动故障实时诊断方法,该方法可同时检测单开关和双开关故障。与现有的方法相比,该方法有获得高效价的趋势。最后进行了MATLAB/SIMULINK仿真,验证了该方法的有效性和优越性。
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引用次数: 4
Survey on illumination condition of video / image under heterogeneous environments for enhancement 异构环境下视频/图像增强照明条件研究
K. Akila, S. Chitrakala, S. Vaishnavi
Both videos and images captured during various events play a vital role in information sharing amongst human race from olden days. The images and video captured under varied conditions such as lighting, shading etc., are classified under two major categories viz., controlled and uncontrolled environment. The clarity factor of such multimedia data are affected by factors such as lighting, weather or the equipments used to capture etc., Among various factors, illumination plays a major role in the clarity of videos and images. This paper attempts to enlist various illumination of video / image pertaining to enhancement for various applications.
从古代开始,在各种事件中拍摄的视频和图像在人类之间的信息共享中起着至关重要的作用。在光照、阴影等不同条件下拍摄的图像和视频分为两大类,即受控环境和非受控环境。这类多媒体数据的清晰度因素受光线、天气或用于捕获的设备等因素的影响,在各种因素中,照明对视频和图像的清晰度起着主要作用。本文试图获得各种照明的视频/图像有关增强的各种应用。
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引用次数: 4
Study of implementation of Voice Controlled Wheelchair 语音控制轮椅的实现研究
Romil Chauhan, Yash S. Jain, Harsh Agarwal, A. Patil
To improve the life of disabled people by use of automated tools, many scientists and organizations have been doing research on designing various products. One such intelligent product is the Voice Controlled Wheelchair. Many methods have been used to design it, each method uses a different hardware and hence providing specific functionalities. In this paper we examine few of the implemented methods and then propose a new model based on the concept of Artificial Intelligence which uses Raspberry Pi, for controlling the device, infrared and ultrasonic sensors for robust obstacle detection, USB microphone for voice input. Thus, enhancing the hardware used in previous models and at the same time achieving cost efficiency.
为了利用自动化工具改善残疾人的生活,许多科学家和组织一直在研究设计各种产品。语音控制轮椅就是这样一种智能产品。已经使用了许多方法来设计它,每种方法使用不同的硬件,因此提供特定的功能。在本文中,我们研究了一些实现的方法,然后提出了一个基于人工智能概念的新模型,该模型使用树莓派来控制设备,红外和超声波传感器用于鲁棒障碍物检测,USB麦克风用于语音输入。因此,增强了以前型号中使用的硬件,同时实现了成本效率。
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引用次数: 26
Effective Implementation of Data Segregation and Extraction Using Big Data in E-Health Insurance as a Service 利用大数据在电子健康保险即服务中有效实现数据分离与提取
K. M. Kumar, S. Tejasree, S. Swarnalatha
Big data is emerging technology now in all areas, i.e. like online purchase, E-healthcare, tweet analysis, and banking sector. Now a day's insurance companies are showing interest towards analysis of their huge datasets consists of patient's and hospital's information. From those data sets they extracting some useful information. Mostly they concentrate on success and failure percentage and feedback given by patients. Patients will be applying the hospital bills along with discharge summary, medical reports to the insurance company. Based on the patient procedure insurance company will decide to approve the claim and suggest for new patients. Here in this paper patients records, reports, symptoms, and feedbacks are analyzed using big data technologies like infinispan and map reduce concepts for data extraction and segregation in E-health insurance. Disclosing of patients' private information has been done using private data encoding algorithm.
如今,大数据在所有领域都是新兴技术,如在线购物、电子医疗、微博分析和银行业。现在,每天的保险公司都对分析由病人和医院信息组成的庞大数据集表现出兴趣。他们从这些数据集中提取了一些有用的信息。他们主要关注的是成功率和失败率以及患者的反馈。患者将把医院账单连同出院总结、医疗报告一起提交给保险公司。保险公司将根据患者的程序决定是否批准索赔并建议新患者。本文使用infinispan和map reduce等大数据技术对电子健康保险中的数据提取和分离进行分析,分析患者的记录、报告、症状和反馈。患者隐私信息的披露采用隐私数据编码算法。
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引用次数: 14
Estimation of power quality indices using discrete wavelet transform 用离散小波变换估计电能质量指标
R. Sugi, D. Sundararajan
An estimation and analysis of power quality disturbances are essential for the maintenance of power quality of power systems. Since the power quality disturbances are mostly noisy and nonstationary, wavelet transform methods have gained significant importance in analyzing them recently. In a recent paper, the estimation of power quality indices using an empirical wavelet transform has been proposed. In this paper, further investigation of this approach is carried out and a comparison of the use of the empirical and discrete wavelet transform is presented.
电能质量扰动的估计和分析对电力系统的电能质量维护至关重要。由于电能质量扰动多为噪声扰动和非平稳扰动,小波变换方法在分析电能质量扰动方面具有重要意义。在最近的一篇论文中,提出了一种基于经验小波变换的电能质量指标估计方法。本文对该方法进行了进一步的研究,并对经验小波变换和离散小波变换的使用进行了比较。
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引用次数: 6
A review of hilevel authorized deduplication method for cloud storage system 云存储系统的分级授权重复数据删除方法综述
I. Nandhini, K. Selvappriya, S. Tamilselvi
The data storage management is the biggest problem in the cloud computing environment. To reduce the storing space and save the bandwidth share the data with others in cloud storage using public-key cryptosystems that produce constant-size cipher texts such that the active delegation of decoding rights for any set of cipher texts but it lead to many privacy problems. To avoid this problem the private and public cloud combine and form a hybrid cloud. In this the confidential data can be stored in private cloud and other data are stored in public cloud. Even though, the exponential growth of ever-increasing volume of data in the cloud has raised many storage challenges. To overcome these challenges we proposed a deduplication technique. It is specialized and resent data compression technique which eliminates redundant data as well as improves the cloud storage and bandwidth utilization. We also present several new deduplication constructions which are supporting authorized duplicate check in hybrid cloud architecture. To protect the confidentiality of sensitive data, whereas supporting deduplication, the convergent encryption technique has been proposed to encrypt the data before outsourcing. To provide the highest data security, this paper makes the first attempt to formally address the problem of authorized data deduplication. We also proposed many new deduplication constructions supporting authorized duplicate check in hybrid cloud architecture, which incurs nominal overhead compared to conventional operation.
数据存储管理是云计算环境中最大的问题。为了减少存储空间和节省带宽,使用生成固定大小密文的公开密钥密码系统与云存储中的其他人共享数据,从而对任何一组密文进行主动授权,但这会导致许多隐私问题。为了避免这个问题,私有云和公有云结合起来形成混合云。在这种情况下,机密数据可以存储在私有云,其他数据存储在公共云。尽管如此,云中不断增加的数据量的指数级增长也带来了许多存储挑战。为了克服这些挑战,我们提出了一种重复数据删除技术。它是一种专门的数据压缩技术,消除了冗余数据,提高了云存储和带宽利用率。我们还提出了几种新的重复数据删除结构,它们支持混合云架构中的授权重复检查。为了保护敏感数据的机密性,在支持重复数据删除的同时,提出了在外包前对数据进行加密的融合加密技术。为了提供最高的数据安全性,本文首次尝试正式解决授权重复数据删除问题。我们还提出了许多新的重复数据删除结构,支持在混合云架构中授权重复检查,与传统操作相比,这产生了名义上的开销。
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引用次数: 1
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2016 3rd International Conference on Advanced Computing and Communication Systems (ICACCS)
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