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2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI)最新文献

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Design of a front-end DC-DC converter for a permanent magnet DC motor using fuzzy gain scheduling 基于模糊增益调度的永磁直流电动机前端DC-DC变换器设计
Devendra Potnuru, J. Kumar
This paper presents the operation of a buck-converter for smooth starting of a Permanent Magnet DC Motor using Fuzzy Gain scheduling. In this work dc-dc buck converter is used as a input voltage source converter to the motor, further the trajectory control of the motor for a given reference speed has been implemented using Fuzzy Gain scheduling. The effectiveness of the presented work is validated using the rigorous simulations using MATLAB/Simulink.
本文介绍了用模糊增益调度实现永磁直流电动机平稳起动的buck变换器的工作原理。在此工作中,使用dc-dc降压变换器作为电机的输入电压源变换器,并利用模糊增益调度实现给定参考转速下电机的轨迹控制。利用MATLAB/Simulink进行了严格的仿真,验证了所提工作的有效性。
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引用次数: 4
Parabolic Taper Transmission Line Type 8-Port Hybrid 抛物线锥形传输线型8端口混合
Yasser Gharbi, A. Affandi
Parabolic Taper Transmission Line Type 8-Port Hybrid are analyzed. The solution is used to design microwave 8-Port Hybrid. The parameters of this network is calculated and its frequency responses is computed. Simulation design and manufacturing of microwave Parabolic Taper Transmission Line Type 8-Port Hybrid are presented.
分析了抛物线锥形传输线型8端口混合动力系统。该方案被用于微波8口混合电路的设计。计算了该网络的参数,并计算了其频率响应。介绍了微波抛物面锥形传输线型8端口混合动力系统的仿真设计与制造。
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引用次数: 0
Methodical activity recognition and monitoring of a person through smart phone and wireless sensors 通过智能手机和无线传感器系统地识别和监控一个人的活动
S. Rekha, M. Rao
Sophisticated Smart phones with ever-growing computing, networking, and sensing powers has been changing the landscape of people's daily life and has opened the doors for many interesting applications, ranging from i) Health and fitness monitoring ii)Personal biometric signature[1], iii) Elder-care and Assistance iv)App Activity Log v) Indoor localization and navigation, etc. Human activity recognition is a core building block behind these applications. It takes the raw sensor reading as inputs and predicts a user's motion activity. Many main stream smart phones are equipped with various sensors, including accelerometers[2], GPS, light sensors, temperature sensors, gyroscope, barometer, etc. These sensors have become a rich data source to measure various aspects of a user's daily life. The typical activities include walking, jogging, sitting, etc. Due to its unobtrusiveness, low/none installation cost, and easy-to-use, smart phones are becoming the main platform for human activity recognition.
随着计算、网络和传感能力的不断增强,先进的智能手机正在改变人们日常生活的面貌,并为许多有趣的应用打开了大门,包括i)健康和健身监测ii)个人生物特征签名[1],iii)老年人护理和援助iv)App活动日志v)室内定位和导航等。人类活动识别是这些应用程序背后的核心构建块。它将原始传感器读数作为输入,并预测用户的运动活动。许多主流智能手机都配备了各种传感器,包括加速度计[2]、GPS、光传感器、温度传感器、陀螺仪、气压计等。这些传感器已经成为一个丰富的数据源,可以测量用户日常生活的各个方面。典型的活动包括散步、慢跑、坐着等。智能手机以其不显眼、安装成本低、使用方便等特点,正在成为人类活动识别的主要平台。
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引用次数: 5
Implementing job scheduling approach in cloud environment 在云环境下实现作业调度方法
V. Saroha, Sanjeev Rana
Cloud Computing helps us to utilize the facilities of multiple applications such as web conferencing, games, E-mail on the Internet. With cloud computing we can create and configure the applications online. It also helps us to customize the applications according to clients need. We can store over data online and retrieve the data anytime anywhere. Cloud provides us enormous storage and offers different types of resources such as high speed server, runtime platform, applications and software. Due to scarcity and large cost of cloud resources there is need for proper scheduling and allocation of cloud resources. The cloud resources must be allocated in efficient and effective way so that total cost of resources should be minimized. Scheduling algorithms are used for dispatching user tasks or jobs to a particular resource or data. This paper provides review of different cloud scheduling strategies used in cloud environment.
云计算帮助我们利用多种应用程序的设施,如网络会议、游戏、电子邮件等。通过云计算,我们可以在线创建和配置应用程序。它还可以帮助我们根据客户的需求定制应用程序。我们可以在线存储数据并随时随地检索数据。云为我们提供了巨大的存储空间,并提供了不同类型的资源,如高速服务器、运行时平台、应用程序和软件。由于云资源的稀缺性和高成本,需要对云资源进行合理的调度和分配。必须以高效和有效的方式分配云资源,以最大限度地降低资源的总成本。调度算法用于将用户任务或作业分派到特定的资源或数据。本文综述了在云环境中使用的各种云调度策略。
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引用次数: 1
Fault analysis of diode clamped inverter based induction motor drive 基于二极管箝位逆变器的感应电机驱动故障分析
Suresh Aldhandi, Govardhan Sakinala, M. Hussain
In this article Fault analysis in 3 level and 5 level inverter to drive Induction motor is presented. Induction motors are widely used in industrial applications for their intrinsic ruggedness and reduced cost. Recently, the use of adjustable speed drives has spread in many applications. Most of the industrials motors are used today are in fact induction motors. Induction motors have been used in the past mainly in applications requiring a constant speed because conventional methods of their speed control have either been expensive or highly inefficient. Multilevel inverters have a high number of switching states so that the output voltage is stepped in smaller increments. This allows mitigation of the harmonics at low switching frequencies thereby reducing switching losses. Almost 38% of faults in industrial loads like variable speed ac drive. IGBT's are used in almost all converters as power handling capability is high. It is estimated that among all types of faults in variable speed ac drives in industry, 10 μs. The performance of the system is analyzed by adopting MATLAB/SIMULINK software.
本文介绍了三电平和五电平变频器驱动异步电动机的故障分析。感应电动机因其固有的坚固性和较低的成本而广泛应用于工业应用。最近,可调速驱动器的使用在许多应用中得到了普及。今天使用的大多数工业电机实际上都是感应电机。感应电动机在过去主要用于需要恒定速度的应用,因为传统的速度控制方法要么昂贵,要么效率低下。多电平逆变器具有大量的开关状态,以便输出电压以较小的增量步进。这允许降低低开关频率的谐波,从而减少开关损耗。几乎38%的工业负载故障,如变速交流驱动。由于功率处理能力高,IGBT几乎用于所有变换器中。据估计,在工业用变速交流变频器的各种故障中,有10 μs。采用MATLAB/SIMULINK软件对系统性能进行了分析。
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引用次数: 0
Detection of forest fire using Dezert-Smarandache theory in wireless sensor networks 基于Dezert-Smarandache理论的无线传感器网络森林火灾检测
P. Sudha, A. Murugan
The most common hazard in forest is forest fire. Forest fires are as ancient as the forests themselves which destroy the forests, and can be a great threat to people who live in forests as well as wildlife. They pose a peril not only to the forest wealth but also to the entire regime utterly distressing the bio diversity, the ecology and the environment of a region. The present methods of detection of forest fire using satellite are widely considered to be scarce to foreknow the fires in the forest. Moreover, the satellite based methods of forest fire detection predict the forest fire only after the fire blowout uncontrollable and this method is considered to be futile to forecast the forest fire. Hence, a smart system is introduced which comprises of multiple classifiers to classify the forest fire attributes and fusion methods using Dezert-Smarandache theory, are considered to combine the data and to forecast the fire more accurately and effectively. The experimental results demonstrate the combined approach, which yields better accuracy in envisaging the forest fire.
森林中最常见的危险是森林火灾。森林火灾和森林本身一样古老,它会破坏森林,对生活在森林中的人们和野生动物都是一个巨大的威胁。它们不仅对森林财富构成威胁,而且对整个制度构成威胁,彻底破坏了一个地区的生物多样性、生态和环境。人们普遍认为,目前的卫星森林火灾探测方法在预测森林火灾方面存在不足。此外,基于卫星的森林火灾探测方法只有在火灾井喷不可控的情况下才能对森林火灾进行预测,这种方法对森林火灾的预测是无效的。为此,提出了一个由多个分类器组成的智能系统,对森林火灾属性进行分类,并考虑采用Dezert-Smarandache理论的融合方法,将数据结合起来,更加准确有效地预测火灾。实验结果表明,该方法对森林火灾的预测精度较高。
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引用次数: 3
Design and simulation of front end converter for fuel cell based electric vehicle applications 基于燃料电池的电动汽车前端转换器设计与仿真
J. Kumar, P. Mallikarjuna Rao
The increasing consumption of conventional energy in the world with increasing costs of fossil fuel is justifiable reason for using fuel cell technology with high performance. However, the output voltage of fuel cell stack is very low and it is not sufficient to drive the electric vehicle. This paper put forward the three level hybrid boost dc-dc converter, which can be step-up the fuel cell output voltage with high voltage gain. The working principle of present converter is based on the traditional neutral clamped multi level inverter. Here, IGBT based three level converter is designed and steady state of filtering capacitors are observed with MATLAB software. Fuel cell stack is designed in the place of normal dc battery. Hybrid boost dc-dc converter is connected to Multi level inverter for AC output to drive EV. Finally, the simulation results are discussed.
随着化石燃料成本的不断提高,世界上传统能源的消费量不断增加,这是采用高性能燃料电池技术的正当理由。然而,燃料电池堆的输出电压很低,不足以驱动电动汽车。本文提出了一种三电平混合升压dc-dc变换器,该变换器能以较高的电压增益提高燃料电池的输出电压。目前变换器的工作原理是基于传统的中性点箝位多电平逆变器。本文设计了基于IGBT的三电平变换器,并利用MATLAB软件对滤波电容的稳态进行了观察。在常规直流蓄电池的基础上设计了燃料电池堆。混合升压dc-dc变换器与多电平逆变器连接,实现交流输出,驱动电动汽车。最后,对仿真结果进行了讨论。
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引用次数: 3
Image enhancement with histogram local minimas 用直方图局部最小值增强图像
K. Sumathi, S. Anitha, C. Himabindu
In this paper work, the author introduces local minima based image enhancement. Enhancing of images is a primary step in any advanced image processing analysis. Initially, the histogram of an unprocessed image is computed to analyze the gray level distribution of an image. Later the local minima's of histogram image is calculated. Based on these minima's the image is partitioned in to intensity based distributed images. Finally these images undergo mapping process with mean and equalization computational values. The effectiveness of proposed work is verified with PSNR (peak signal to noise ratio), entropy, AMBE (Absolute mean brightness error) & visual quality in both quantitatively, qualitatively.
本文介绍了基于局部最小值的图像增强方法。图像增强是任何高级图像处理分析的首要步骤。首先,计算未处理图像的直方图来分析图像的灰度分布。然后计算直方图图像的局部最小值。基于这些最小值,图像被划分为基于强度的分布式图像。最后对这些图像进行均值和均衡化计算值的映射处理。通过PSNR(峰值信噪比)、熵、AMBE(绝对平均亮度误差)和视觉质量的定量和定性验证了所提工作的有效性。
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引用次数: 1
Methods of the learning experiment of bipolar microcircuits 双极微电路学习实验方法
S. Tyulevin, M. Piganov, E. Erantseva
The analysis of methods of the learning experiment of semiconductor microcircuits for individual forecasting of indicators of their quality has been carried out. The choice of informative parameters and means of their control has been made. The schemes of the inclusion of microcircuits in the process of research tests and the modes of their control has been justified. The analysis of constructive-technological variants of microcircuits has been carried out. A program of research tests has been developed. The results of the training experiment for microchips of the 522 series has been presented. The analysis of the experimental data has been carried out. The results of the training experiment for constructing mathematical predictive models of the quality of microcircuits has been recommended to use.
对半导体微电路学习实验中质量指标的个体预测方法进行了分析。给出了信息参数及其控制方法的选择。在研究试验过程中引入微电路的方案和控制方式是合理的。对微电路的构造技术变体进行了分析。制定了一项研究测试计划。给出了522系列单片机的训练实验结果。对实验数据进行了分析。该训练实验的结果可用于构建微电路质量的数学预测模型。
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引用次数: 0
Assessment of water parameters using Z-test for planning of aqua monitoring system using underwater sensor 基于z检验的水参数评估在水下传感器监测系统规划中的应用
Shreema Shetty, R. Pai, M. M. Manohara Pai
Aquaculture planning and development is a very important process that will enhance and mentor the growth of the sector, while ensuring its long-term sustainability with environmentally and economically. In this proposed work, we have considered two rivers; Netravati and Sita which flows west coastal region of India and join Arabian Sea. These two rivers were studied with the planning of aquaculture and development carried out by deploying the underwater sensor nodes. Assessment of water parameter such as temperature, Salinity, Dissolved oxygen, Turbidity and pH values, and these parameters directly effect on the growth of aquaculture. For a time period the water parameter readings are stored and Z-test analysis applied for a hypothesis with respect to water parameter to evaluate the significant variation between two rivers. The analysis recommends the suitable place, fishes and guide an aquaculture development and planning process.
水产养殖规划和发展是一个非常重要的过程,将加强和指导该部门的增长,同时确保其在环境和经济方面的长期可持续性。在这个提议的工作中,我们考虑了两条河流;尼特拉瓦蒂和西塔河,流向印度西部沿海地区,并加入阿拉伯海。对这两条河流进行了研究,并通过部署水下传感器节点进行了养殖和开发规划。评价水温、盐度、溶解氧、浊度和pH值等水体参数,这些参数直接影响水产养殖的生长。在一段时间内,将水参数读数存储起来,并对有关水参数的假设进行z检验分析,以评估两条河流之间的显著差异。分析建议适宜的地点、鱼类,并指导水产养殖发展和规划过程。
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引用次数: 1
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2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI)
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