2017 6th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)最新文献

E-health application using network coding based caching for Information-centric networking (ICN) 为信息中心网络(ICN)使用基于网络编码的缓存的电子卫生应用程序

2017 6th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) Pub Date : 2017-09-01 DOI: 10.1109/ICRITO.2017.8342464

Kumari Nidhi Lal, Anoj Kumar

引用次数: 4

Human identification and verification based on signature, fingerprint and iris integration 基于签名、指纹和虹膜一体化的人体身份识别与验证

2017 6th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) Pub Date : 2017-09-01 DOI: 10.1109/ICRITO.2017.8342470

Vikramaditya Agarwal, A. Sahai, Akshay Gupta, Nidhi Jain

引用次数: 4

The relationship between user preferences in interactive information retrieval evaluation 交互式信息检索评价中用户偏好的关系

2017 6th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) Pub Date : 2017-09-01 DOI: 10.1109/ICRITO.2017.8342463

Tanisha Gahlawat, P. Bhatia, D. Mehrotra

引用次数: 0

Segmentation based non local means filter for denoising MRI 基于非局部均值滤波分割的MRI去噪方法

2017 6th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) Pub Date : 2017-09-01 DOI: 10.1109/ICRITO.2017.8342506

N. Joshi, Sarika Jain, Amit Agarwal

引用次数: 3

Design and analysis of symmetrical notch S shape patch antenna for wideband applications 宽带对称陷波S型贴片天线的设计与分析

2017 6th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) Pub Date : 2017-09-01 DOI: 10.1109/ICRITO.2017.8342477

Shipra Singh, R. Verma

引用次数: 1

A detailed study of clustering algorithms 详细研究了聚类算法

2017 6th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) Pub Date : 2017-09-01 DOI: 10.1109/CTCEEC.2017.8454973

Kamalpreet Bindra, Dr Anuranjan Misra

{"title":"A detailed study of clustering algorithms","authors":"Kamalpreet Bindra, Dr Anuranjan Misra","doi":"10.1109/CTCEEC.2017.8454973","DOIUrl":"https://doi.org/10.1109/CTCEEC.2017.8454973","url":null,"abstract":"The foremost illustrative task in data mining process is clustering. It plays an exceedingly important role in the entire KDD process also as categorizing data is one of the most rudimentary steps in knowledge discovery. It is an unsupervised learning task used for exploratory data analysis to find some unrevealed patterns which are present in data but cannot be categorized clearly. Sets of data can be designated or grouped together based on some common characteristics and termed clusters, the mechanism involved in cluster analysis are essentially dependent upon the primary task of keeping objects with in a cluster more closer than objects belonging to other groups or clusters. Depending on the data and expected cluster characteristics there are different types of clustering paradigms. In the very recent times many new algorithms have emerged which aim towards bridging the different approaches towards clustering and merging different clustering algorithms given the requirement of handling sequential, extensive data with multiple relationships in many applications across a broad spectrum. Various clustering algorithms have been developed under different paradigms for grouping scattered data points and forming efficient cluster shapes with minimal outliers. This paper attempts to address the problem of creating evenly shaped clusters in detail and aims to study, review and analyze few clustering algorithms falling under different categories of clustering paradigms and presents a detailed comparison of their efficiency, advantages and disadvantages on some common grounds. This study also contributes in correlating some very important characteristics of an efficient clustering algorithm.","PeriodicalId":357118,"journal":{"name":"2017 6th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133533546","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 22

Cloud security architecture based on user authentication and symmetric key cryptographic techniques 基于用户认证和对称密钥加密技术的云安全架构

2017 6th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) Pub Date : 2017-09-01 DOI: 10.1109/ICRITO.2017.8342485

Abdul Raoof Wani, Q. P. Rana, Nitin Pandey

引用次数: 6

An analytical model for performance analysis of mobile ad hoc network using queueing approach 基于排队方法的移动自组网性能分析模型

2017 6th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) Pub Date : 2017-09-01 DOI: 10.1109/ICRITO.2017.8342458

Dr. Aleem Ali, Neeta Singh

引用次数: 1

Design of radix-4,16,32 approx booth multiplier using Error Tolerant Application 基于容错应用的基数4,16,32近似乘法器设计

2017 6th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) Pub Date : 2017-09-01 DOI: 10.1109/ICRITO.2017.8342444

G. Jain, Meenal Jain, Gaurav Gupta

{"title":"Design of radix-4,16,32 approx booth multiplier using Error Tolerant Application","authors":"G. Jain, Meenal Jain, Gaurav Gupta","doi":"10.1109/ICRITO.2017.8342444","DOIUrl":"https://doi.org/10.1109/ICRITO.2017.8342444","url":null,"abstract":"Approximate computing has a very important contribution in the multimedia world. Approximate computing consists of arithmetic circuits such as adder, multiplier etc. Which are based on the approximate technique or error tolerant application. These arithmetic circuits have high efficiency and better performance, but less accurate. In an electronic world, many applications are used such as signal processing, network signaling, image processing, neural networks where multiplier is used as an arithmetic circuit. In this way, approximate multiplier shows some mean error which is not so important at large. This multiplier makes significant improvements in power, delay, and area at the expense of reducing accuracy. The approximate multiplier is to use less power and area than conventional truncated multiplier, and keep high speed. Its main purpose is to speed up the speed of arithmetic circuits as well as spend low power. A lot of process is being taken to fulfill this objective Like ETM (Error tolerant Multiplier), UDM (Under designed Multiplier), AWTM (Approx Wallace Tree Multiplier), AM (Approx Multiplier). In this paper, the approximate Booth Multiplier has been designed which works on error tolerant multiplication (ETM) technology and provides high performance for the DSP application. This Error Tolerant Application easily restrict on accuracy and achieve various improvement in power consumption and speed accuracy. A new type of approximate multiplier has been designed in this multiplier which can increase the speed by reducing the partial product of the traditional multiplier. According to this paper is to design such a high-speed radix signed approximate booth multiplier which provides significant improvements in power, delay and area at low cost performance in accuracy.","PeriodicalId":357118,"journal":{"name":"2017 6th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129157527","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7

Finding similarity in articles using various clustering techniques 使用各种聚类技术查找文章的相似性

2017 6th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) Pub Date : 2017-09-01 DOI: 10.1109/ICRITO.2017.8342449

Deeksha, Shashank Sahu

引用次数: 2