2020 10th International Conference on Cloud Computing, Data Science & Engineering (Confluence)最新文献_第7页

Reduce device memory using centralized common resource pool 使用集中式公共资源池减少设备内存

2020 10th International Conference on Cloud Computing, Data Science & Engineering (Confluence) Pub Date : 2020-01-01 DOI: 10.1109/Confluence47617.2020.9058226

Magendra Singh, Pratush Kumar Shrivastava, Ammar Al Hashmi, Anurag Gupta, Amir Ansari

引用次数: 0

Predictive modeling of Pan Evaporation using Random Forest Algorithm along with Features Selection 基于特征选择的随机森林蒸发皿蒸发量预测模型

2020 10th International Conference on Cloud Computing, Data Science & Engineering (Confluence) Pub Date : 2020-01-01 DOI: 10.1109/Confluence47617.2020.9057856

Rakhee, Archana Singh, Mamta Mittal, Amrender Kumar

{"title":"Predictive modeling of Pan Evaporation using Random Forest Algorithm along with Features Selection","authors":"Rakhee, Archana Singh, Mamta Mittal, Amrender Kumar","doi":"10.1109/Confluence47617.2020.9057856","DOIUrl":"https://doi.org/10.1109/Confluence47617.2020.9057856","url":null,"abstract":"Random Forest is a learning method that can be used for classification and regression problems; it operates by constructing decision trees at training time and output the predicted results. In this study, the algorithm is used to predict the Pan Evaporation for Karnal district, India. Random forest is also adopted to select the important features which highly influence the evaporation conditions. The weather of four lag weeks from the week of forecast is used to form indices that are considered for the model development. The algorithm is trained using thirty-one-year data (1973-2003) and subsequent year (2004-05) which is not utilized for model development is used as a testing set. The developed random forest model is further compared with the artificial neural network with backpropagation algorithm. The performance of the models is measured using mean square error, which shows that the predicted values are in close approximation with the observed one but the random forest model has better predictions than the artificial neural network.","PeriodicalId":180005,"journal":{"name":"2020 10th International Conference on Cloud Computing, Data Science & Engineering (Confluence)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132867817","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: 2

A CPW-Fed Square Monopole Triple Notch Band Superwideband Antenna for Wireless Communication Applications And Optimization by using Artificial Intelligence (Back Propagation Model) 一种用于无线通信的cpw馈电方形单极三陷波超宽带天线及其人工智能优化(反向传播模型)

2020 10th International Conference on Cloud Computing, Data Science & Engineering (Confluence) Pub Date : 2020-01-01 DOI: 10.1109/Confluence47617.2020.9058272

Nidhi Bhatia, Manish Sharma

引用次数: 2

Feature Extraction and Classification of Chest X-Ray Images Using CNN to Detect Pneumonia 利用CNN检测肺炎的胸部x线图像特征提取与分类

2020 10th International Conference on Cloud Computing, Data Science & Engineering (Confluence) Pub Date : 2020-01-01 DOI: 10.1109/Confluence47617.2020.9057809

Harsh Sharma, Jai Jain, Priti Bansal, S. Gupta

引用次数: 94

Understanding the Role of Emotional Intelligence in Usage of Social Media 了解情商在社交媒体使用中的作用

2020 10th International Conference on Cloud Computing, Data Science & Engineering (Confluence) Pub Date : 2020-01-01 DOI: 10.1109/Confluence47617.2020.9057873

Vrinda, R. Madaan, K. Bhatia, Surbhi Bhatia

{"title":"Understanding the Role of Emotional Intelligence in Usage of Social Media","authors":"Vrinda, R. Madaan, K. Bhatia, Surbhi Bhatia","doi":"10.1109/Confluence47617.2020.9057873","DOIUrl":"https://doi.org/10.1109/Confluence47617.2020.9057873","url":null,"abstract":"the idea of Emotional Intelligence (EI) is of unmatched enthusiasm for both the literature and inside scholarly world. As a center develops in conventional psychology, emotional intelligence has risen. There are number of definitions of EI. These conceptualizations can be partitioned into two streams: ‘ability models’ where EI is characterized as cognitive abilities in emotional working versus ‘trait models’ that fuse a wide scope of personality traits and different characteristics. Emotional intelligence matters the same amount of as intellectual ability. Also in the world of the internet, emotional intelligence plays a significant role. Across the board enthusiasm for EI prompted the advancement of a wide range of scales indicating to measure the construct. This paper discusses “Emotional Intelligence” and focuses on the evolution of EI by examining the different models, the methods used to survey them, and the connection between these models and other comparable constructs. Both experimental and commercial measures are comprised here. This paper also listed some applications of emotional intelligence we used in our daily life and the social media’s effect on it.","PeriodicalId":180005,"journal":{"name":"2020 10th International Conference on Cloud Computing, Data Science & Engineering (Confluence)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131885525","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: 3

Identifying the Best Network Security Using EDAS 使用EDAS识别最佳网络安全性

2020 10th International Conference on Cloud Computing, Data Science & Engineering (Confluence) Pub Date : 2020-01-01 DOI: 10.1109/Confluence47617.2020.9058265

Shivani Tanwar, D. Mehrotra, Renuka Nagpal

引用次数: 1

Clustering Based Incident Handling For Anomaly Detection in Cloud Infrastructures 基于聚类的云基础设施异常检测事件处理

2020 10th International Conference on Cloud Computing, Data Science & Engineering (Confluence) Pub Date : 2020-01-01 DOI: 10.1109/Confluence47617.2020.9058314

Chitranshu Raj, Lavanya Khular, G. Raj

{"title":"Clustering Based Incident Handling For Anomaly Detection in Cloud Infrastructures","authors":"Chitranshu Raj, Lavanya Khular, G. Raj","doi":"10.1109/Confluence47617.2020.9058314","DOIUrl":"https://doi.org/10.1109/Confluence47617.2020.9058314","url":null,"abstract":"Incident Handling for Cloud Infrastructures focuses on how the clustering based and non-clustering based algorithms can be implemented. Our research focuses in identifying anomalies and suspicious activities that might happen inside a Cloud Infrastructure over available datasets. A brief study has been conducted, where a network statistics dataset the NSL-KDD, has been chosen as the model to be worked upon, such that it can mirror the Cloud Infrastructure and its components. An important aspect of cloud security is to implement anomaly detection mechanisms, in order to monitor the incidents that inhibit the development and the efficiency of the cloud. Several methods have been discovered which help in achieving our present goal, some of these are highlighted as the following; by applying algorithm such as the Local Outlier Factor to cancel the noise created by irrelevant data points, by applying the DBSCAN algorithm which can detect less denser areas in order to identify their cause of clustering, the K-Means algorithm to generate positive and negative clusters to identify the anomalous clusters and by applying the Isolation Forest algorithm in order to implement decision based approach to detect anomalies. The best algorithm would help in finding and fixing the anomalies efficiently and would help us in developing an Incident Handling model for the Cloud.","PeriodicalId":180005,"journal":{"name":"2020 10th International Conference on Cloud Computing, Data Science & Engineering (Confluence)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127459293","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

Natural Language Transfer Learning for Physiological Textual Similarity 生理文本相似度的自然语言迁移学习

2020 10th International Conference on Cloud Computing, Data Science & Engineering (Confluence) Pub Date : 2020-01-01 DOI: 10.1109/confluence47617.2020.9058216

Vasudev Awatramani, Pooja Gupta

引用次数: 2

A Review Paper On The Application Of Knowledge Graph On Various Service Providing Platforms. 知识图谱在各类服务提供平台上的应用综述

2020 10th International Conference on Cloud Computing, Data Science & Engineering (Confluence) Pub Date : 2020-01-01 DOI: 10.1109/Confluence47617.2020.9058298

Vanshika Vikas Nigam, Shreya Paul, A. Agrawal, Rishabh Bansal

引用次数: 3

An Analysis of Polluted Air Consumption and Hazards on Human Health: A Study Towards System Design 污染空气消费及其对人体健康危害分析:系统设计研究

2020 10th International Conference on Cloud Computing, Data Science & Engineering (Confluence) Pub Date : 2020-01-01 DOI: 10.1109/Confluence47617.2020.9057848

Anish Singh, H. Joshi, Amal Srivastava, Raja Kumar, Nitasha Hasteer

引用次数: 3