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2019 5th International Conference on Advanced Computing & Communication Systems (ICACCS)最新文献

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Power Theft Identification System Using Iot 使用物联网的电力盗窃识别系统
P. Leninpugalhanthi, Janani R, Nidheesh s, Mamtha Rv, K. I, R. Senthil Kumar
Power theft is a blatant problem in electric powersystems, which causes great economic losses and leads to irregular supply of electicity. Power theft can be briefly defined as usage of power without the knowledge of the supplier. It has become the major problem in India and it is a crime. Overall India has highest losses about 16.2 billion dollar. Power theft can be happened in many ways one such way is that a registered customers steal either bypassing the meter ie: connecting around the meter to a live cable on a company side of the meter or tampering with the meter to make the meter to read less or no consumption. In order to eradicate the power theft it has to be identified. In this paper the raspberry Pi is fixed with threshold voltage and current whenever the voltage level get increased power theft is detected.
窃电是电力系统中一个突出的问题,不仅造成了巨大的经济损失,而且导致电力供应不规律。窃电可以简单地定义为在供应商不知情的情况下使用电力。这已经成为印度的主要问题,这是一种犯罪。总的来说,印度损失最大,约为162亿美元。电力盗窃可以通过多种方式发生,其中一种方式是注册客户绕过电表进行盗窃,即:将电表周围连接到电表公司一侧的带电电缆上,或者篡改电表,使电表读取更少或没有消耗。为了根除窃电现象,必须对其进行识别。在本文中,树莓派是固定的阈值电压和电流,当电压水平增加时,检测到窃电。
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引用次数: 12
Design Of Sar-Adc Based Mixed Signal Architecture For Low Power Application 基于Sar-Adc的低功耗混合信号结构设计
R. R. Thirrunavukkarasu, S. Kirthika, N. Nivetha, N. Renuka
The wearable devices became wide wont to monitor body signals for long health care and residential care applications because of the speedy development of moveable natural philosophy. They sight very important signals through physiological sensors and so transmit them to a cloud info for analysis and watching functions through wireless communication systems. A sensible digitizer (ADC) was accomplished by a mixed-signal application-specific integrated circuit (ASIC) that is intended supported adaptive resolution and lossless compression techniques for graph (ECG) signal watching. The adaptive resolution technique is employed to pick out totally different sampling frequencies of the ADC consistent with amplitude changes within the input signals. Consistent with the characteristic of the signals the sampling clock for the ADC are often adaptively elect. Data compression techniques used are economical methodology to avoid wasting transmission power by reducing the number of knowledge being transmitted over the network. The signal transmission rate has been reduced and maintained high-quality detection and meets the low power consumption of the planning. The ADC application of mixed signal design is implemented using VHDL coding.
由于可移动自然理念的迅速发展,可穿戴设备广泛用于监测身体信号,用于长期医疗保健和居家护理应用。它们通过生理传感器看到非常重要的信号,然后通过无线通信系统将这些信号传输到云信息中进行分析和观察。一个敏感的数字化仪(ADC)是由一个混合信号专用集成电路(ASIC)完成的,旨在支持自适应分辨率和无损压缩技术,用于图(ECG)信号的观察。采用自适应分辨率技术,根据输入信号的幅值变化挑选出完全不同的ADC采样频率。根据信号的特性,ADC的采样时钟通常是自适应选择的。数据压缩技术是一种经济的方法,通过减少在网络上传输的知识数量来避免浪费传输功率。降低了信号传输速率,保持了高质量的检测,满足了低功耗的规划。混合信号设计的ADC应用采用VHDL编码实现。
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引用次数: 0
Area Efficient Self Controlled Pre Charge Free Content Addressable Memory 区域高效自我控制预收费免费内容可寻址存储器
S. Arulpriya, P. Kumar
A self-controlled precharge free Content Addressable Memory is mainly used in speedy and high-performance searching operation. Here the precharge operation can be eliminated so that the design is preferred in the larger word length CAM to reduce the search time. In the conventional SCPF-CAM, 6T CAM is used but in the proposed method SCPF using 4T CAM is designed so the number of transistors can be reduced as compared to the conventional SCPF-CAM. The area utilised is approximately 20% reduced in this proposed design, and the power consumption also can be reduced.
一种自我控制的免预付费内容可寻址存储器主要用于快速和高性能的搜索操作。在这里可以省去预充操作,以便在较大字长CAM中优先采用该设计,以减少搜索时间。在传统的SCPF-CAM中,使用了6T CAM,但在该方法中,使用4T CAM的SCPF设计使得与传统的SCPF-CAM相比,晶体管数量可以减少。在这个提议的设计中,使用的面积减少了大约20%,并且功耗也可以降低。
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引用次数: 0
Enhanced Weighted Centroid Localization in RFID Technology: Patient Movement Tracking in Hospital 射频识别技术中增强加权质心定位:医院患者运动跟踪
Bikash Thapa Chhetri, A. Alsadoon, P. Prasad, Haritha Sallepalli Venkata, A. Elchouemi
Technologies like Global positioning system (GPS), sensors, Infrared (IR) Wi-Fi, cellular signals, etc. for tracking the movement of an object lack the location precision. The existing systems developed with these technologies were lacked of efficiency and accuracy to locate patient inside the hospital for utilizing the available resources (doctors, nurse, staff, and equipment). Therefore, we propose a system which minimizes the location error with less processing time for an indoor moving patient. Proposed system comprises Received Signal Strength Indicator (RSSI) with the existing Weighted Centroid Localization (WCL) methods improve the signal strength of a signal received from the tag and determining the exact position of moving tag by reducing the location error and improving the processing time. The efficiently tracks moving patient inside the hospital with decreased processing time from 86ms to 52ms and 116ms to 97ms also less location error from 0.08m to 0.03m and 0.18m to 0.15m based upon the number of tags deployed, i.e. 10 and 20 respectively. Thus, this solution provides hospital management accurate tracking of moving patient for efficient allocation of the available resources (doctors, nurse, examination room, etc.) based upon their position.
全球定位系统(GPS)、传感器、红外(IR) Wi-Fi、蜂窝信号等跟踪物体运动的技术缺乏定位精度。利用这些技术开发的现有系统在利用可用资源(医生、护士、工作人员和设备)定位医院内患者方面缺乏效率和准确性。因此,我们提出了一个系统,以减少处理时间最小化的定位误差为室内移动的病人。该系统由接收信号强度指示器(RSSI)和现有的加权质心定位(WCL)方法组成,通过减小定位误差和缩短处理时间,提高接收到的标签信号的信号强度,确定运动标签的准确位置。有效地跟踪医院内移动的患者,处理时间从86ms减少到52ms,从116ms减少到97ms,根据部署的标签数量(分别为10个和20个),定位误差从0.08m减少到0.03m,从0.18m减少到0.15m。因此,该解决方案为医院管理层提供了对移动患者的准确跟踪,以便根据他们的位置有效分配可用资源(医生、护士、检查室等)。
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引用次数: 5
Deployable SDN architecture for network applications: an investigative survey 网络应用的可部署SDN架构:调查调查
S. Gangadhara, Swati Nagaraj Hasyagar, Uma Damotharan
Software Defined Networking (SDN) is acclaimed as the future of networking as it provides disaggregation between software and hardware and enables a central point of control over the entire network. Many network applications such as load balancers, IPv4-IPv6 converters, VMs, IDS and IPS systems can be realised through SDN deployments. Implementing an SDN solution for the aforementioned network applications would guarantee better performance. As part of this survey, research papers have been reviewed to understand various network applications, their shortcomings in the current deployments and a corresponding proposed SDN solution to tackle these shortcomings. Accordingly, proposals have been made with respect to the deployment strategies of these SDN network applications. The three approaches to deploy SDN solutions are: the rip and replace model, the overlay model and the hybrid model. The main focus of this paper is to propose the best model out of the three models for an SDN deployment for each of the discussed network applications.
软件定义网络(SDN)被誉为网络的未来,因为它提供了软件和硬件之间的分解,并实现了对整个网络的中心控制点。许多网络应用,如负载均衡器、IPv4-IPv6转换器、虚拟机、IDS和IPS系统都可以通过SDN部署来实现。为上述网络应用程序实现SDN解决方案将保证更好的性能。作为本次调查的一部分,我们对研究论文进行了回顾,以了解各种网络应用,它们在当前部署中的缺点以及相应的SDN解决方案来解决这些缺点。据此,对这些SDN网络应用的部署策略提出了建议。部署SDN解决方案的三种方法是:rip和替换模型、覆盖模型和混合模型。本文的主要重点是为所讨论的每个网络应用程序的SDN部署提出三种模型中的最佳模型。
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引用次数: 1
Fusion of histogram based features for Human Action Recognition 基于直方图特征融合的人体动作识别
S. Sahoo, Silambarasi R, S. Ari
Human action recognition is an active research topic which is having real time challenges. Some of the challenges are speed of action, background noise and shape of the performing action. To handle these problem, in this paper the following works are proposed. By the help of optical flow, Bag of Bag of histogram of optical flow (BoHOF) is proposed which is useful to differentiate actions varying with speed of action. BoHOF features are calculated from segmented human objects. To remove the shadow effect, sobel edge filter is used combingly in horizontal and vertical direction. Median filtering is applied to suppress background noise. Histogram of oriented gradients (HOG) features are extracted from 3D projected planes and combined with BoHOF to extract maximum advantages of both the features. Finally, the multi-class SVM-based classifier with radial basis kernel is applied to recognize different human actions. The experiments are conducted on the benchmark KTH dataset and the experimental findings concludes that the proposed HAR technique provides better performance compared to the state-of-the-art techniques.
人体动作识别是一个活跃的研究课题,面临着现实的挑战。其中一些挑战是动作的速度、背景噪音和表演动作的形状。为了解决这些问题,本文提出了以下工作。借助光流直方图(BoHOF),提出了一种用于区分随动作速度变化的动作的Bag of Bag方法。BoHOF特征是从分割的人体物体中计算出来的。为了消除阴影效果,在水平方向和垂直方向上混合使用sobel边缘滤波器。采用中值滤波抑制背景噪声。从三维投影平面中提取定向梯度直方图(Histogram of oriented gradients, HOG)特征,并与BoHOF相结合,提取两种特征的最大优势。最后,应用基于径向基核的多类svm分类器对不同的人体动作进行识别。在基准KTH数据集上进行了实验,实验结果表明,与最先进的技术相比,所提出的HAR技术提供了更好的性能。
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引用次数: 10
Analysis of 1- bit full adder using different techniques in Cadence 45nm Technology Cadence 45nm技术中不同技术的1位全加法器分析
Chandran Venkatesan, Thabsera Sulthana M, Sumithra M.G, S. M
The full adder is an important component for controller or processor design like microprocessors, digital signal processors etc. It is also used to do arithmetic and logical operations. The objective of this project is to reduce power, delay and increase the stability factor of a full adder by using various 1bit full adder designs and techniques. Here 10T full adder circuits using CMOS technology plots the minimum power consumption rather than others. Because CMOS technology dissipates low power. A comparative data analysis is shown for power, delay and stability using SERF (Static Energy Recovery Full Adder), GDI(Gate Diffused Input) method with different number of transistors which is used to extend the battery life. The adders are designed and implemented in the virtuoso platform using Cadence 45nm tool.
全加法器是微处理器、数字信号处理器等控制器或处理器设计的重要组成部分。它也被用来做算术和逻辑运算。该项目的目标是通过使用各种1bit全加法器设计和技术来降低功耗,延迟和增加全加法器的稳定系数。这里使用CMOS技术的10T全加法器电路绘制了最小功耗而不是其他电路。因为CMOS技术功耗低。采用不同晶体管数量的静态能量回收全加法器(SERF)和栅极扩散输入(GDI)方法对电池的功率、延迟和稳定性进行了对比分析,以延长电池寿命。这些加法器是使用Cadence 45nm工具在virtuoso平台上设计和实现的。
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引用次数: 8
Fuel Level Indication and Mileage Calculator Using Iot 燃油水平指示和里程计算器使用物联网
B. Anuradha, B. Priyadharsini, A. Yuvasri, M. Yamuna
Digital technologies shape our everyday lives for calculating everything. In this paper we proposed to implement a digital way to view fuel target in a vehicle. The simple aspect of this work is to check whether the fuel filled in the vehicle is appropriate to the given price or not, as for the first two pumps the tank is filled with fuel with air and then for the rest of the pumps, tank is filled with fuel. The level of the fuel is calculated with the help of float sensor. When people are moving in the highways or in the hills, they don’t know how long will that vehicle will travel. So, we are embedding the mileage calculation with the level detection. With the help of the distance which is displayed in the LCD, the person can aware about how far that vehicle will move further.
数字技术塑造了我们的日常生活,计算一切。本文提出了一种实现车辆燃油目标数字化的方法。这项工作的简单方面是检查车辆中填充的燃料是否适合给定的价格,对于前两个泵,油箱中填充空气燃料,然后对于其余的泵,油箱中填充燃料。利用浮子传感器计算燃油的液位。当人们在高速公路上或山上移动时,他们不知道车辆将行驶多长时间。因此,我们将里程计算嵌入到液位检测中。在液晶显示屏上显示的距离的帮助下,人们可以意识到车辆还将行驶多远。
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引用次数: 1
Congestion Management based Optimal Sizing of PV System using MultiVerse Optimization Algorithm 基于拥塞管理的多元宇宙优化算法光伏系统最优规模
Rajasekhar Vatambeti, P. Dhal
The Congestion management of multi bus i.e 30 bus system is assessed by optimal sizing of PV system in this research paper. The recitation analysis of PV system has carried out in 30 bus system for the development of power system security through MATPOWER software. When the multi bus system goes an unexpected loading, its stability and security of the system is disturbed. It is required better results, it is required better the security from the disturbance of the areas. Here, the system is monitoring by continuation power flow (CPF), because of to improve the congestion situation of the systems. The various operating conditions like without PV system and with PV system tuned by Multi verse optimization algorithm. It has used to evaluate the performance of the proposed systems. The result shows, the system with PV system properly is tuned by this algorithm. It produces better result than the systems without PV.
本文通过PV系统的最优规模来评估多母线即30母线系统的拥塞管理。通过MATPOWER软件对30个母线系统进行了光伏系统的背诵分析,以开发电力系统的安全性。当多总线系统发生意外负载时,会对系统的稳定性和安全性造成影响。它需要更好的效果,需要更好的安全性,不受区域的干扰。为了改善系统的拥塞状况,采用连续潮流(CPF)对系统进行监测。采用多工况优化算法对无光伏系统和有光伏系统等工况进行了优化。它已用于评估所建议系统的性能。结果表明,该算法能较好地调节具有光伏系统的系统。与无PV系统相比,效果更好。
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引用次数: 1
A Strategy on Channel Equalization for Digital Communication Based on Neural Network System 基于神经网络系统的数字通信信道均衡策略
Ami Kumar Parida, S. Panda, R.P. Singh
In present scenario when we talk about digital signal transmission inter symbol interference is the most exciting problem over frequency selective communication channel. To avoid such drawback and to get back initial transmitted information there is an equalization process at the receiver end which compensating corrupted data due to ISI. Hence the basic techniques as Channel equalizers are generally adapted to minimize consequences are Inter-Symbol Interference. An adaptive equalizer is highly suitable to handle the time varying and random nature of communication channel. This conversational equalizer by nature inverse to channel and channel’s influence can be compensating. Also for non inverse channel there is no existence of equalizer. Now we think about better performance comparing with traditional, and a neural equalizer can be proposed. This research paper also reflecting the process of minimizing of mean square error and also distortion due to ISI. Analysis outcome of this work satisfy us that neural equalizer operational behavior much better than all existing conversational system of equalizers. The outcome on the planned equalizer is deeply considered for every channel having its own bit-error rate with noisy data. Result after Simulation expressing the properly designed equalizer has lower Bit Error Rate (BER) with respect to performance.
在目前的数字信号传输中,码间干扰是选频信道中最令人关注的问题。为了避免这种缺点,并获得初始传输信息,在接收端有一个均衡过程,补偿由于ISI而损坏的数据。因此,作为通道均衡器的基本技术通常适用于最小化符号间干扰的后果。自适应均衡器非常适合处理通信信道的时变和随机特性。这种对话式均衡器本质上与信道相反,信道的影响可以进行补偿。对于非逆信道,也不存在均衡器。现在我们考虑比传统均衡器更好的性能,可以提出一种神经均衡器。本研究还反映了均方误差最小化的过程,以及ISI引起的失真。分析结果表明,神经均衡器的工作性能远优于现有的会话式均衡器系统。对于每个信道都有自己的误码率和有噪声的数据,对所规划的均衡器的结果进行了深入考虑。仿真结果表明,合理设计的均衡器在性能方面具有较低的误码率。
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引用次数: 3
期刊
2019 5th International Conference on Advanced Computing & Communication Systems (ICACCS)
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