Proceedings of the 9th Annual ACM India Conference最新文献

A Methodology to Detect and Track Breaking News on Twitter 一种在Twitter上检测和跟踪突发新闻的方法

Proceedings of the 9th Annual ACM India Conference Pub Date : 2016-10-21 DOI: 10.1145/2998476.2998491

Anmol Shukla, Dhruv Aggarwal, R. Keskar

引用次数: 3

Centrality Approach for Community Detection in Large Scale Network 大规模网络中社区检测的中心性方法

Proceedings of the 9th Annual ACM India Conference Pub Date : 2016-10-21 DOI: 10.1145/2998476.2998489

R. Behera, Debadatta Naik, Bibhudatta Sahoo, S. K. Rath

引用次数: 7

An Automated Approach for Cross-Browser Inconsistency (XBI) Detection 跨浏览器不一致(XBI)检测的自动化方法

Proceedings of the 9th Annual ACM India Conference Pub Date : 2016-10-21 DOI: 10.1145/2998476.2998496

C. P. Patidar, Meena Sharma

引用次数: 4

Workload Aware Hybrid Partitioning 负载感知混合分区

Proceedings of the 9th Annual ACM India Conference Pub Date : 2016-10-21 DOI: 10.1145/2998476.2998479

Trupti Padiya, Jai Jai Kanwar, Minal Bhise

引用次数: 5

Selection of Image Blocks using Genetic Algorithm and Effective Embedding with DCT for Steganography 基于遗传算法的图像块选择与DCT有效嵌入的隐写

Proceedings of the 9th Annual ACM India Conference Pub Date : 2016-10-21 DOI: 10.1145/2998476.2998495

Shweta Joshi, Kavita Sonawane

引用次数: 2

Concept Preserving Visual Summarization of Social Image Search Results 社会图像搜索结果的概念保留视觉摘要

Proceedings of the 9th Annual ACM India Conference Pub Date : 2016-10-21 DOI: 10.1145/2998476.2998477

S. Takale, P. Kulkarni

{"title":"Concept Preserving Visual Summarization of Social Image Search Results","authors":"S. Takale, P. Kulkarni","doi":"10.1145/2998476.2998477","DOIUrl":"https://doi.org/10.1145/2998476.2998477","url":null,"abstract":"Existing tag based social media search engines present search results as a ranked list of images. But, they fail to identify visual, textual and geographical concepts present in query results. In this paper, we present an approach for automatic generation of visual, textual and geographical concept preserving summary of social image search results. For user specified query, search results are collected from popular content-sharing websites such as Flickr. Aim of the algorithm is, to generate representative but diverse summary having a set of images, information about locations-of-interest (LOI) associated with the query, and a set of tags, describing the context of images. The proposed scheme exploits multiple modalities in order to understand context and content of geotagged social images. We formulate the problem as a graph clustering problem, where nodes are images and edge weight is computed as geo-graphical distance, tag-based similarity between images and visual similarity between images. In order to reduce the computational overhead, we implement late fusion of three different edge weight parameters. An innovative Graph based clustering algorithm using Haversine distance formula is proposed for geo-clustering of images. Performance evaluation is based on intrinsic and extrinsic methods. We also present an evaluation protocol having no human intervention for evaluating coverage of geographical spread of images in the final result and cluster coherence. Through empirical study, we demonstrate the effectiveness of our algorithm against state-of-the-art image search result summarization methods.","PeriodicalId":171399,"journal":{"name":"Proceedings of the 9th Annual ACM India Conference","volume":"165 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121802921","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

Quantitative Estimation of Cost Drivers for Intermediate COCOMO towards Traditional and Cloud Based Software Development 面向传统软件开发和基于云的软件开发的中间COCOMO成本驱动因素的定量估算

Proceedings of the 9th Annual ACM India Conference Pub Date : 2016-10-21 DOI: 10.1145/2998476.2998488

Amit Agrawal, Vaibhav Jain, Mohsin Sheikh

{"title":"Quantitative Estimation of Cost Drivers for Intermediate COCOMO towards Traditional and Cloud Based Software Development","authors":"Amit Agrawal, Vaibhav Jain, Mohsin Sheikh","doi":"10.1145/2998476.2998488","DOIUrl":"https://doi.org/10.1145/2998476.2998488","url":null,"abstract":"Software project estimation is the process of analyzing the resource requirements for the given time duration of product development. Cost estimation models are used for calculating the associated amount required for developing the stakeholder's requirement within the defined time boundaries. Among several models available for the cost estimation of software projects, COCOMO is one of the well-known models which serve the field most. Resources applied for the given time will generate the rough estimates, but for more accurate values, various factors are analyzed. These factors are termed as cost drivers. Software estimation using COCOMO is performed by selecting values of cost drivers on a predefined scale. This approach solely depends on experience of a software analyst. However, there is a lack of a systematic approach available for the selection of values of these cost drivers. Our work suggests the quantification of cost drivers for intermediate COCOMO. Quantification will implicitly fetch the values from the system and its environment which reduces the manual selection of ranges of scaling factors. Hence the systems cost will be generated directly without analyst and selector logic. Finally, if the selection of correct scaling is performed, then the calculation of cost will definitely get improved. An experimental analysis is performed between the above suggested model and the Intermediate COCOMO. The results show that the \"COCOMOUP\" is performing well under the known conditions and in uncertain requirements conditions, the system is getting better predictions.","PeriodicalId":171399,"journal":{"name":"Proceedings of the 9th Annual ACM India Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132530209","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: 5

Comparative Evaluation of Various Indexing Techniques of Geospatial Vector Data for Processing in Distributed Computing Environment 分布式计算环境下各种地理空间矢量数据索引处理技术的比较评价

Proceedings of the 9th Annual ACM India Conference Pub Date : 2016-10-21 DOI: 10.1145/2998476.2998493

Abdul Jhummarwala, Mazin Alkathiri, Miren Karamta, M. Potdar

{"title":"Comparative Evaluation of Various Indexing Techniques of Geospatial Vector Data for Processing in Distributed Computing Environment","authors":"Abdul Jhummarwala, Mazin Alkathiri, Miren Karamta, M. Potdar","doi":"10.1145/2998476.2998493","DOIUrl":"https://doi.org/10.1145/2998476.2998493","url":null,"abstract":"The explosion of ever increasing geospatial data is today met with the challenge of maintaining it in spatial databases and utilization of traditional methods of spatial data processing. The sheer volume and complexity of spatial databases makes them an ideal candidate for use with parallel and distributed processing architectures. There is a lot of enthusiasm toward using MapReduce paradigm and distributed computing for processing of large volumes of vector data. As spatial data cannot be indexed using traditional B-tree structures used by R/DBMS, several libraries such as JSI (Java Spatial Index), libspatialindex and SpatiaLite depend upon advanced data structures such as R/R*-tree, Quad-tree and their variants for spatial indexing. These indexing mechanisms have also been natively incorporated in frameworks such as Spatial Hadoop, Hadoop GIS SATO and GeoSpark. Additionally, most widely used open source RDBMS such as MySQL, Postgres and SQLite incorporate spatial indexing using extensions/add-ons. In this paper, we benchmark and compare the performance of various spatial indexing mechanisms in addition to evaluating the performance of distributed frameworks for planet sized datasets. We conclude by highlighting the characteristics of spatial tools and frameworks for better selection and implementation of R-tree indexing in a big geo-spatial processing system.","PeriodicalId":171399,"journal":{"name":"Proceedings of the 9th Annual ACM India Conference","volume":"112 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128513195","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: 1

Hierarchical Tree-based Optimized Communication for Real Time Event Driven Internet of Things 基于层次树的实时事件驱动物联网优化通信

Proceedings of the 9th Annual ACM India Conference Pub Date : 2016-10-21 DOI: 10.1145/2998476.2998481

Saurabh K. Pandey, M. Zaveri

引用次数: 4

Three Steps Secure Login: A systematic approach 三步安全登录:一个系统的方法

Proceedings of the 9th Annual ACM India Conference Pub Date : 2016-10-21 DOI: 10.1145/2998476.2998484

A. Ranjan, B. Kumar

引用次数: 0