2018 Eleventh International Conference on Contemporary Computing (IC3)最新文献_第5页

Modified DBSCAN Using Particle Swarm Optimization for Spatial Hotspot Identification 基于粒子群优化的改进DBSCAN空间热点识别

2018 Eleventh International Conference on Contemporary Computing (IC3) Pub Date : 2018-08-01 DOI: 10.1109/IC3.2018.8530558

Ankita, M. Thakur

引用次数: 5

Threshold-Based Heuristics for Trust Inference in a Social Network 基于阈值的社交网络信任推断启发式算法

2018 Eleventh International Conference on Contemporary Computing (IC3) Pub Date : 2018-08-01 DOI: 10.1109/IC3.2018.8530496

Bithika Pal, Suman Banerjee, M. Jenamani

{"title":"Threshold-Based Heuristics for Trust Inference in a Social Network","authors":"Bithika Pal, Suman Banerjee, M. Jenamani","doi":"10.1109/IC3.2018.8530496","DOIUrl":"https://doi.org/10.1109/IC3.2018.8530496","url":null,"abstract":"Trust among the users of a social network plays a pivotal role in item recommendation, particularly for the cold start users. Due to the sparse nature of these networks, trust information between any two users may not be always available. To infer the missing trust values, one well-known approach is path based trust estimation, which suggests a user to believe all of its neighbors in the network. In this context, we propose two threshold-based heuristics to overcome the limitation of computation for the path based trust inference. It uses the propagation phenomena of trust and decides a threshold value to select a subset of users for trust propagation. While the first heuristic creates the inferred network considering only the subset of users, the second one is able to preserve the density of the inferred network coming from all users selection. We implement the heuristics and analyze the inferred networks with two real-world datasets. We observe that the proposed threshold based heuristic can recover up to 70 % of the paths with much less time compared to its deterministic counterpart. We also show that the heuristic based inferred trust is capable of preserving the recommendation accuracy.","PeriodicalId":118388,"journal":{"name":"2018 Eleventh International Conference on Contemporary Computing (IC3)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114934881","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

Real-Time Driver's Drowsiness Monitoring Based on Dynamically Varying Threshold 基于动态变化阈值的驾驶员睡意实时监测

2018 Eleventh International Conference on Contemporary Computing (IC3) Pub Date : 2018-08-01 DOI: 10.1109/IC3.2018.8530651

Isha Gupta, Novesh Garg, Apoorva Aggarwal, Nitin Nepalia, Bindu Verma

{"title":"Real-Time Driver's Drowsiness Monitoring Based on Dynamically Varying Threshold","authors":"Isha Gupta, Novesh Garg, Apoorva Aggarwal, Nitin Nepalia, Bindu Verma","doi":"10.1109/IC3.2018.8530651","DOIUrl":"https://doi.org/10.1109/IC3.2018.8530651","url":null,"abstract":"One of the most prevailing problems across the globe nowadays is the booming number of road accidents. Improper and inattentive driving is one of the major cause of road accidents. Driver's drowsiness or lack of concentration is considered as a dominant reason for such mishaps. Research in the field of driver drowsiness monitoring may help to reduce the accidents. This paper therefore proposes a non-intrusive approach for implementing a driver's drowsiness alert system which would detect and monitor the yawning and sleepiness of the driver. The system uses Histogram Oriented Gradient (HOG) feature descriptor for face detection and facial points recognition. Then SVM is used to check whether detected object is face or non-face. It further monitors the Eye Aspect Ratio (EAR) and Mouth Aspect Ratio (MAR) of the driver up to a fixed number of frames to check the sleepiness and yawning. Since the drowsiness or tiredness of the driver is also based on the number of hours he or she has been driving, an additional feature of varying the threshold frames for eyes and mouth is included. This makes the system more sensitive towards drowsiness detection. Also, this requires the inclusion of face recognition implementation so that monitoring can be done individually for every driver. Our experimental results shows that our proposed framework perform well.","PeriodicalId":118388,"journal":{"name":"2018 Eleventh International Conference on Contemporary Computing (IC3)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123300779","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: 27

Supporting E-Mentoring for Programming Labs in Engineering Education 支持工程教育编程实验室的电子指导

2018 Eleventh International Conference on Contemporary Computing (IC3) Pub Date : 2018-08-01 DOI: 10.1109/IC3.2018.8530476

R. Arora, S. Goel

引用次数: 3

Sustainable Waste Management Model 可持续废物管理模式

2018 Eleventh International Conference on Contemporary Computing (IC3) Pub Date : 2018-08-01 DOI: 10.1109/IC3.2018.8530544

Dhruv Batra, Shreya Garg, Tarushi Agrawal, Saurabh Gangal, Indu Chawla, Shikha Jain

引用次数: 5

An Ensemble Model for Breast Cancer Prediction Using Sequential Least Squares Programming Method (SLSQP) 序列最小二乘规划法(SLSQP)预测乳腺癌的集成模型

2018 Eleventh International Conference on Contemporary Computing (IC3) Pub Date : 2018-08-01 DOI: 10.1109/IC3.2018.8530572

Madhuri Gupta, B. Gupta

{"title":"An Ensemble Model for Breast Cancer Prediction Using Sequential Least Squares Programming Method (SLSQP)","authors":"Madhuri Gupta, B. Gupta","doi":"10.1109/IC3.2018.8530572","DOIUrl":"https://doi.org/10.1109/IC3.2018.8530572","url":null,"abstract":"Cancer is a collection of diseases which is obsessed by uncontrolled growth of cells in the body to produce abnormal cells. Breast cancer is the most common cancer among women. In cancer, abnormal cells spread in other body part that is advance stage of cancer; at this stage survival rate is very low. So, Cancer detection at early stage is highly required to reduce the mortality rate. Here, Mortality means death because of cancer. With the improvement of innovation and machine learning techniques, cancer detection has made advances. Machine learning (ML) allows system to learn on the basis of past experiences and take decision using various statistical and probabilistic methods with minimal human intervention. This research work exhibited an ensemble model to predict the breast cancer using four machine learning techniques which are Support Vector Machine, Logistic Regression, Decision Tree and K-Nearest Neighbour. Results shows that proposed ensemble framework is more accurate in contrast of tradition single classification system. In this research work, SLSQP method is used to assign weight to each classification model and prediction of each classifier is combined using soft voting technique.","PeriodicalId":118388,"journal":{"name":"2018 Eleventh International Conference on Contemporary Computing (IC3)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126122419","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: 18

Comparative Analysis of Different Keypoint Based Copy-Move Forgery Detection Methods 基于关键点的复制-移动伪造检测方法的比较分析

2018 Eleventh International Conference on Contemporary Computing (IC3) Pub Date : 2018-08-01 DOI: 10.1109/IC3.2018.8530489

Amanpreet Kaur, Savita Walia, Krishan Kumar

引用次数: 4

2018 Eleventh International Conference on Contemporary Computing, IC3 2018, Noida, India, August 2-4, 2018 2018第十一届当代计算国际会议，IC3 2018，印度诺伊达，2018年8月2日至4日

2018 Eleventh International Conference on Contemporary Computing (IC3) Pub Date : 2018-08-01 DOI: 10.1109/ic3.2018.8530627

引用次数: 1

Collusion Attack Resistant SVD Based Secured Audio Watermarking Scheme with Chaotic Encryption 基于混沌加密的抗合谋攻击SVD安全音频水印方案

2018 Eleventh International Conference on Contemporary Computing (IC3) Pub Date : 2018-08-01 DOI: 10.1109/IC3.2018.8530488

T. K. Tewari, V. Saxena

引用次数: 2

Empirical Analysis of Q&A Websites and a Sustainable Solution to Ensure Water-Security 问答网站实证分析与水安全可持续解决方案

2018 Eleventh International Conference on Contemporary Computing (IC3) Pub Date : 2018-08-01 DOI: 10.1109/IC3.2018.8530615

Harshit Gujral, Abhinav Sharma, Sangeeta Lal

{"title":"Empirical Analysis of Q&A Websites and a Sustainable Solution to Ensure Water-Security","authors":"Harshit Gujral, Abhinav Sharma, Sangeeta Lal","doi":"10.1109/IC3.2018.8530615","DOIUrl":"https://doi.org/10.1109/IC3.2018.8530615","url":null,"abstract":"In this paper, we present a novel empirical study of water-related questions from famous environment-related Q&A websites. Additionally, after a comprehensive evaluation, we explore solutions of global freshwater scarcity. Results show that in-spite of approximately constant number of water-related questions-posted from 2014–2017, the views on these questions are significantly decreasing. Prominent locations of water-related discussions are USA, Europe, Australia, and India. Most of the water-related questions discuss oceanography and water-management. Indian-users are observed to discuss solutions of their local water-related problems while no water-related discussion is observed from desalination-pioneers like Saudi-Arabia, Israel etc. Finite annual freshwater inventories are inadequate to meet stringently burgeoning human demand for water. To fathom desalination as a solution to water-scarcity by employing renewable energy, we draw a comparison of India and Saudi-Arabia and suggest desalination of sea-water as the sustainable solution for water-scarcity in regions with proximity to seas and oceans. This work also responds to myths that devoid of desalination and aims to formulate awareness in order to create a global freshwater security.","PeriodicalId":118388,"journal":{"name":"2018 Eleventh International Conference on Contemporary Computing (IC3)","volume":"34 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115496152","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