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2018 International Conference on Recent Innovations in Electrical, Electronics & Communication Engineering (ICRIEECE)最新文献

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Stiff Frame Encryption Using Compression 使用压缩的硬帧加密
Ramesh Makala, Gowtham Mamidisetti, Hemantha Kumar Budithi
This paper introduces a new encryption mechanism implemented over lossless data compression mechanisms. Our approach is applied to ASCII data and is implemented in two phases that are applied on independent frames of size nine bytes extracted from the input data. First phase implements compression, and second phase does compression as well as encryption. Each phase reduces one byte in frames, thereby resulting in two bytes reduction per each frame. Experimental results reveal that it achieves better compression ratios and also encrypts data with better key sizes. The proposed method is very economical and speedy method of doing compression and encryption at the same time of scanning input data.
本文介绍了一种基于无损数据压缩机制的新型加密机制。我们的方法应用于ASCII数据,并分两个阶段实现,这两个阶段应用于从输入数据中提取的大小为9字节的独立帧。第一阶段实现压缩,第二阶段既压缩又加密。每个阶段在帧中减少一个字节,从而导致每帧减少两个字节。实验结果表明,该算法可以获得更好的压缩比,并且可以使用更好的密钥大小对数据进行加密。该方法是在扫描输入数据的同时进行压缩和加密的一种经济、快速的方法。
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引用次数: 1
Demonetization(500&1000):Analysis of Sentiments using NLTK Withtwitter for Text and Image 非货币化(500&1000):使用NLTK对twitter的文本和图像进行情绪分析
Sugandha Bhatnagar, T. Kumar
The main objective of our research is to analyse sentiments on the activity that happened in 2016, named as demonetization. In our research we have collected data by using twitter API. Twitter Application provides four unique tokens i.e. consumer key, consumer Secret, access token, access secret. These keys are unique to every user and comes with certain constraints. After collecting tweets from twitter, preprocessing is performed i.e. removal of stop words like removing punctuations, hash tags etc. After that, by using NLTK we classified the tweets into positive, negative and neutral. In the end tweets are classified by using Kmeans clustering also. In the end, we finally came to a result which is also illustrated in fig 7. 44.1% public has shown positive sentiments, 26.5% has shown negative and 29.5% has shown neutral reaction.
我们研究的主要目的是分析人们对2016年发生的被称为“去货币化”的活动的看法。在我们的研究中,我们使用twitter API收集数据。Twitter应用程序提供了四个唯一的令牌,即消费者密钥,消费者秘密,访问令牌,访问秘密。这些键对每个用户来说都是唯一的,并且有一定的限制。从twitter上收集tweets后,进行预处理,即去除停止词,如去除标点,散列标签等。之后,我们使用NLTK将推文分为积极、消极和中性。最后利用Kmeans聚类对推文进行分类。最后我们得到了一个结果,如图7所示。44.1%的人持肯定态度,26.5%的人持否定态度,29.5%的人持中立态度。
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引用次数: 0
Thyristor Binary Compensator Strategy for Reactive Power Compensation and PF Improvement using Static VAR Compensator 无功补偿的晶闸管二元补偿器策略及静态无功补偿器对PF的改进
Ajay Lohate, M. Chaudhari
the electrical field has to go through many problems related to power quality. It is of the extreme importance to enhance the power quality as well as power factor with minimization of harmonics and losses. In this paper, the control strategy i.e. thyristor binary compensation along with SVC is used consisting of capacitor banks in binary sequence for reactive power compensation and power factor improvement. This technique stabilizes the system as well as it approaches the power factor closer to unity.
电场必须经历许多与电能质量有关的问题。提高电能质量和功率因数,使谐波和损耗最小化,具有极其重要的意义。本文采用晶闸管二值补偿和由二值顺序电容组组成的SVC控制策略进行无功补偿和功率因数改善。这种技术稳定了系统,并使功率因数更接近于统一。
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引用次数: 2
Novel Schemes for Minimizing the PAPR in LTE-OFDM System 最小化LTE-OFDM系统PAPR的新方案
C. Vijay, G. Rao, Vinodh kumar Minchula
Orthogonal Frequency Division Multiplexing (OFDM) has gained an increasing attention due to its potential for supporting higher transmission rates in frequency selective fading environments which causes Inter Symbol Interference (ISI). Though, OFDM system has the drawback of large Peak to Average Power Ratio (PAPR) of the signals which are transmitted with a non-constant envelope. Power amplifiers with a large dynamic range are used to reduce PAPR in OFDM system applications. Due to which, the complexity and cost of the system increases. So to overcome this, different PAPR reduction schemes are used. The existing PAPR reduction schemes i.e. Selective Mapping (SLM), Clipping and Filtering (CF) Schemes are discussed and Novel Schemes are proposed in this paper. Based on BER analysis Novel schemes outperforms when compared to SLM and CF.
正交频分复用(OFDM)由于其在频率选择性衰落环境下支持更高传输速率的潜力而受到越来越多的关注,这种环境会导致码间干扰(ISI)。然而,OFDM系统的缺点是在非恒定包络中传输信号的峰值平均功率比(PAPR)大。在OFDM系统中,采用大动态范围的功率放大器来降低PAPR。因此,系统的复杂性和成本也随之增加。因此,为了克服这个问题,使用了不同的PAPR减少方案。本文讨论了现有的PAPR降低方案,即选择性映射(SLM)、裁剪和滤波(CF)方案,并提出了新的方案。基于误码率分析,与SLM和CF相比,新方案具有更好的性能。
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引用次数: 0
Effect of transition metal doped ZnO coated on Al working electrode for K+ ion sensor 过渡金属掺杂ZnO涂层对K+离子传感器Al工作电极的影响
Usharani Panda, A. Das, F. Ali, P. Pattanaik, S. Kamilla, D. Mishra
Ni doped ZnO has been widely studied as a diluted magnetic semiconductor (DMS), but in this work we have shown its use as a biosensor. Now-a-days, electrochemical biosensors provide an attractive and affordable path to analyze biological samples by converting biological events directly to an electrical output. Alkali metal ions play a vital role in biological events and study of which is necessary to know the healthy functioning of human body organs. Potassium ion (K+) is one of the alkali metal ion in blood which needs regular monitoring. This motivated us to go for synthesis of ZnO and Ni doped ZnO by sol -gel method and later working electrodes were fabricated by coating the synthesized materials on Al substrate by Chemically Wet and Dry (CWD) method indigenously developed in our lab. The fabrication process was followed by insitu annealing of the sample electrodes at 450° C in presence of Nitrogen environment. The crystalline property of the synthesized materials was confirmed by XRD study. The Hall Effect study shows higher mobility and conductivity values for Ni doped ZnO in comparison to pure ZnO. The performance and response to various concentrations of KOH solution and PH level were experimentally studied by both electrodes separately considering Ag as reference electrode.The sensitivity of Ni doped ZnO coated Al electrode was found to be stable and longer sustainable than that of ZnO coated Al electrode in terms of potassium sensing.
Ni掺杂ZnO作为稀释磁性半导体(DMS)已经被广泛研究,但在这项工作中,我们展示了它作为生物传感器的用途。如今,电化学生物传感器通过将生物事件直接转换为电输出,为分析生物样品提供了一种有吸引力且经济实惠的途径。碱金属离子在生物事件中起着至关重要的作用,对其进行研究对于了解人体器官的健康功能是必要的。钾离子(K+)是血液中需要定期监测的碱金属离子之一。这促使我们采用溶胶-凝胶法合成ZnO和Ni掺杂ZnO,并采用本实验室自主开发的化学干湿法(CWD)将合成的材料涂覆在Al衬底上制备工作电极。制备过程中,样品电极在450°C氮气环境下原位退火。通过XRD研究证实了合成材料的结晶性。霍尔效应研究表明,与纯ZnO相比,Ni掺杂ZnO的迁移率和电导率更高。以银为参比电极,分别采用两种电极对不同KOH溶液浓度和PH值的性能和响应进行了实验研究。结果表明,Ni掺杂ZnO包覆Al电极的灵敏度比ZnO包覆Al电极更稳定,且在钾传感方面的持续时间更长。
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引用次数: 0
ICRIEECE 2018 TOC
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引用次数: 0
NS3TCG: NS3 Topology and Code Generator NS3TCG: NS3拓扑和代码生成器
Rishav Halder, Sridhar Mundra, Uttaran Dey, Sreejita Ghosh, S. Karmakar, Raja Karmakar
Construction of Network Simulator version 3 (NS3) code and topology in easy and quick way are one of the main issues. In the world of computer networks, network simulator acts as a program to simulate network from which we can realize the behaviour of a network. In this modern era, the computer networks are getting complex which are becoming difficult to understand and to implement the network in NS3 platform. Our designed NS3 Topology and Code Generator (NS3TCG) tool can minimize the difficulty level as it can construct topology and generate NS3 code in C++ language, with minimum number of inputs about the network like, numbers of nodes, Internet Protocol (IP) address, Wireless or Wired or Mixed Network, delay rate, etcetera (etc). Our networking tool works mainly on two algorithms; one to dynamically generate NS3 code where as the other, to dynamically construct network topology. With the help of Graphical User Interference (GUI), we can understand the structure of any complicated network very easily and on the other hand, NS3 code generated by our tool can be further compiled and executed to obtain the simulation of the topology. As per our knowledge, NS3TCG is the first work in the direction of generating NS3 code and topology, which makes our networking tool unique and innovative.
简单快速地构建网络模拟器(NS3)的代码和拓扑结构是主要问题之一。在计算机网络世界中,网络模拟器是一种模拟网络的程序,我们可以通过它来实现网络的行为。在当今时代,计算机网络变得越来越复杂,在NS3平台上理解和实现网络变得越来越困难。我们设计的NS3拓扑和代码生成器(NS3TCG)工具可以最大限度地降低难度,因为它可以用c++语言构建拓扑和生成NS3代码,并且网络的输入数量最少,如节点数量,互联网协议(IP)地址,无线或有线或混合网络,延迟率等。我们的网络工具主要使用两种算法;一个用于动态生成NS3代码,另一个用于动态构建网络拓扑。借助图形用户干扰(GUI),我们可以很容易地理解任何复杂网络的结构,另一方面,我们的工具生成的NS3代码可以进一步编译和执行,以获得拓扑的仿真。据我们所知,NS3TCG是第一个在生成NS3代码和拓扑方向上的工作,这使我们的网络工具具有独特性和创新性。
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引用次数: 4
Design and Analysis of a Quadratic Boost Derived High Step up Converter for DC Micro-grid Application 用于直流微电网的二次升压型高升压变换器的设计与分析
Arijit Karmahapatra, T. R. Choudhury, B. Nayak, S. B. Santra
This paper proposes a coupled inductor based quadratic boost converter with a switched capacitor cell to attain high voltage gain with low duty ratio. This converter is advantageous in two ways: higher voltage gain and reduced switch voltage stress. An analysis carried out to determine the steady state parameters with design of converter parameters. The theoretical analysis is validated through Matlab Simulink platform by designing a 250 W converter. Simulation results validated the effectiveness of the analysis.
为了在低占空比下获得高电压增益,提出了一种基于耦合电感和开关电容单元的二次升压变换器。这种变换器在两个方面是有利的:更高的电压增益和降低开关电压应力。通过对变换器参数的设计,对稳态参数的确定进行了分析。通过设计250w变换器,在Matlab Simulink平台上对理论分析进行了验证。仿真结果验证了分析的有效性。
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引用次数: 2
Surface Characterisation of Nano Image Using Matlab 基于Matlab的纳米图像表面表征
M. S. Hemanth Kumar, A. Nuthan, C. Sumitha
There has been a plenty of research done on the characterization of surface in macroscopic level. The surface characterization of materials at Nano scale using image processing techniques find plenty applications in computer vision and image processing technologies. This is a novel area of research and only little number of researches exists in terms of literature for the analysis of Nano scale materials. A few attempts have been done in Nano scale images.
在宏观层面上对表面的表征进行了大量的研究。利用图像处理技术在纳米尺度上表征材料表面,在计算机视觉和图像处理技术中有着广泛的应用。这是一个新兴的研究领域,关于纳米尺度材料分析的研究文献很少。在纳米尺度的图像上已经做了一些尝试。
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引用次数: 1
Detection and Extraction of Abnormality from Brain MRI Image Using Extended Fuzzy-C-Means Clustering Algorithm 基于扩展模糊c均值聚类算法的脑MRI异常检测与提取
Ranjita Chowdhury, Samarpan Dutta, Pinaki Saha, Diptak Banerjee
Computerized automated detection of brain disorders is complex as it heavily depends upon the imaging technique, shape and size of the brain and resolution of the image. In this paper we are going to give an efficient algorithm to detect and extract abnormality from brain MRI using Extended-FCM and Density-based clustering technique which perfectly separates out the abnormal lesion with lesser number of input parameters required. Our all new extended-FCM proves to be efficient here, as in 92% of the cases it gives clustered output having high Silhouette index in lesser number of iterations. This approach will facilitate automated detection of brain diseases in rural and remote areas.
脑部疾病的计算机自动检测是复杂的,因为它在很大程度上取决于成像技术、大脑的形状和大小以及图像的分辨率。本文提出了一种基于扩展fcm和基于密度的聚类技术的脑MRI异常检测和提取算法,该算法可以在较少输入参数的情况下完美地分离出异常病灶。我们全新的扩展fcm在这里被证明是有效的,因为在92%的情况下,它在较少的迭代次数下提供具有高廓形指数的聚类输出。这种方法将有助于在农村和偏远地区自动检测脑部疾病。
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引用次数: 0
期刊
2018 International Conference on Recent Innovations in Electrical, Electronics & Communication Engineering (ICRIEECE)
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