2017 International Conference on Computing and Communication Technologies for Smart Nation (IC3TSN)最新文献_第6页

SQNR improvement in fixed-point FFT architecture 定点FFT体系结构的SQNR改进

2017 International Conference on Computing and Communication Technologies for Smart Nation (IC3TSN) Pub Date : 2017-10-01 DOI: 10.1109/IC3TSN.2017.8284481

Pulkit Jain, Debjyoti Mallik, H. S. Jatana, S. S. Gill

引用次数: 3

Rainfall prediction based on 100 years of meteorological data 基于100年气象资料的雨量预测

2017 International Conference on Computing and Communication Technologies for Smart Nation (IC3TSN) Pub Date : 2017-10-01 DOI: 10.1109/IC3TSN.2017.8284469

S. K. Mohapatra, Anamika Upadhyay, Channabasava Gola

引用次数: 23

NoSQL databases: Critical analysis and comparison NoSQL数据库:关键的分析和比较

2017 International Conference on Computing and Communication Technologies for Smart Nation (IC3TSN) Pub Date : 2017-10-01 DOI: 10.1109/IC3TSN.2017.8284494

Adity Gupta, S. Tyagi, Nupur Panwar, Shelly Sachdeva, Upaang Saxena

{"title":"NoSQL databases: Critical analysis and comparison","authors":"Adity Gupta, S. Tyagi, Nupur Panwar, Shelly Sachdeva, Upaang Saxena","doi":"10.1109/IC3TSN.2017.8284494","DOIUrl":"https://doi.org/10.1109/IC3TSN.2017.8284494","url":null,"abstract":"The current research explores and differentiates between various forms in which NoSQL databases exist. It examines the need of NoSQL and how they have become an important alternative to relational databases. NoSQL databases can be categorized into four major classifications which are: key value stores, graph databases, wide column stores, and document stores. These categories are compared on the basis of functional features and non-functional features. The non-functional features include performance, scalability, flexibility, structure and complexity. The functional features include de-normalization, joins, atomicity, aggregation and keys. Then for further analysis, one database is selected from each of these categories that is, MongoDB (document stores), Cassandra (wide column stores), Redis (key value stores), and Neo4j (graph databases). Selected databases are compared on their data model, CAP theorem, distributive properties and other factors. By performing the comparison on non-functional features, it has been found that a document store can be used if high performance, flexibility and scalability are required and if we have represented the data in JSON format. Column store can be used for semi structured data which requires high performance and scalability. Redis is anin-memory store and performs exceptionally fast in the case of single shard operation. Graph databases can be used when it comes to highly interconnected data and continuously evolving data models. The comparison between MongoDB, Cassandra, Redis and Neo4j concluded that all of them follow horizontal scaling and are schema free. Except Neo4j, others don't have complete ACID properties. Write and delete operations are fast for databases MongoDB, Redis and Cassandra, whereas read operation is comparatively slow in Cassandra. In case of Neo4j, REST performance is similar to MongoDB, whereas embedded is comparatively slow. We also discuss how these databases work in a distributed environment.","PeriodicalId":322178,"journal":{"name":"2017 International Conference on Computing and Communication Technologies for Smart Nation (IC3TSN)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125705158","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: 37

Classifier cum recommender system for E-governance using collaborative trie 基于协同试验的电子政务分类与推荐系统

2017 International Conference on Computing and Communication Technologies for Smart Nation (IC3TSN) Pub Date : 2017-10-01 DOI: 10.1109/IC3TSN.2017.8284507

G. Rani

{"title":"Classifier cum recommender system for E-governance using collaborative trie","authors":"G. Rani","doi":"10.1109/IC3TSN.2017.8284507","DOIUrl":"https://doi.org/10.1109/IC3TSN.2017.8284507","url":null,"abstract":"The boom in the government services online has put a great difficulty before the users in selection of the desired web pages on the e-governance portal. This has increased the requirement of such a recommendation system which intelligently satisfies needs of a huge user base. The intelligent collaborative recommendation system proposed in this paper analyzes web logs using web usage mining techniques. It provides such an interface to the existing users where they set their preferences for personalized and collaborative recommendations. Experience of previous users is a cornerstone for recommending default set of pages to naïve users. The use of efficient data structure trie performs dual functionality. This clusters the similar users together which saves the efforts of applying a separate approach for categorizing users. In addition, it conveniently recommends the desired pages to the user. This system dynamically changes the support value of a pattern. This automates the promotion and demotion of a pattern to a group. The hashing technique efficiently finds pages of user interest, in the trie in O(1) time complexity.","PeriodicalId":322178,"journal":{"name":"2017 International Conference on Computing and Communication Technologies for Smart Nation (IC3TSN)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132322319","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: 0

Implementation of digital logic circuit in artificial neural network with floating point arithmetic using verilog HDL 用verilog HDL实现浮点运算人工神经网络中的数字逻辑电路

2017 International Conference on Computing and Communication Technologies for Smart Nation (IC3TSN) Pub Date : 2017-10-01 DOI: 10.1109/IC3TSN.2017.8284490

Aisha Jangid, S. Kabra

引用次数: 1

Security analysis of unstructured data in NOSQL MongoDB database MongoDB数据库中非结构化数据的安全性分析

2017 International Conference on Computing and Communication Technologies for Smart Nation (IC3TSN) Pub Date : 2017-10-01 DOI: 10.1109/IC3TSN.2017.8284495

J. Kumar, Varsha Garg

{"title":"Security analysis of unstructured data in NOSQL MongoDB database","authors":"J. Kumar, Varsha Garg","doi":"10.1109/IC3TSN.2017.8284495","DOIUrl":"https://doi.org/10.1109/IC3TSN.2017.8284495","url":null,"abstract":"NoSQL databases systems are non-relational databases uniquely intended to give high accessibility, reliability, and scalability for enormous data. Additionally sharding is the main fundamental favorable circumstances of NoSQL database. Various companies are moving towards NoSQL databases. NoSQL databases can store unstructured data such as email, multimedia, documents, and social media with high performance. NoSQL document stored database, MongoDB has many security risks which can be overcome by a good secure cryptographic system. In this paper, we will use symmetric cryptographic techniques for providing the security (confidentiality) of unstructured data in NoSQL document stored MongoDB. DES, AES, and blowfish algorithms with random key generation are used to encrypt/decrypt the document data before storing/retrieving to/from the NoSQL MongoDB database. We have also provided the comparative analysis of execution time taken by each algorithm with MongoDB for different size of data. There arises a problem that the storage size taken by the encrypted data in MongoDB database is more as compared to the original data. To solve this problem, we used a zlib compression technique to reduce the storage size taken by the encrypted data and provide comparative results.","PeriodicalId":322178,"journal":{"name":"2017 International Conference on Computing and Communication Technologies for Smart Nation (IC3TSN)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124291726","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: 19

An approach to find contextual similsrity of synonyms to improve searching efficiency 一种查找同义词上下文相似度以提高搜索效率的方法

2017 International Conference on Computing and Communication Technologies for Smart Nation (IC3TSN) Pub Date : 2017-10-01 DOI: 10.1109/IC3TSN.2017.8284502

R.Selva rani, Rimpy Singla, C. K. Nagpal

引用次数: 0

Biogeography based optimization protocol for energy efficient evolutionary algorithm: (BBO: EEEA) 基于生物地理学的节能进化算法优化协议(BBO: EEEA)

2017 International Conference on Computing and Communication Technologies for Smart Nation (IC3TSN) Pub Date : 2017-10-01 DOI: 10.1109/IC3TSN.2017.8284492

Komal P. Mehta, Raju Pal

引用次数: 15

A study on DOA estimation algorithms for array processing applications 阵列处理中DOA估计算法的研究

2017 International Conference on Computing and Communication Technologies for Smart Nation (IC3TSN) Pub Date : 2017-10-01 DOI: 10.1109/IC3TSN.2017.8284451

S. Ganguly, Jeevan Kerketta, P. Kumar, Mainak Mukhopadhyay

引用次数: 6

Two dimensional add drop filter based on photonic crystal ring resonator 基于光子晶体环形谐振器的二维加降滤波器

2017 International Conference on Computing and Communication Technologies for Smart Nation (IC3TSN) Pub Date : 2017-10-01 DOI: 10.1109/IC3TSN.2017.8284454

Anjali Tank, R. Mehra

引用次数: 0