2020 IEEE International Conference on Technology, Engineering, Management for Societal impact using Marketing, Entrepreneurship and Talent (TEMSMET)最新文献_第2页

Wave force on a floating thin plate in intermediate water using VOF method 浮动薄板在中间水中的波浪力

2020 IEEE International Conference on Technology, Engineering, Management for Societal impact using Marketing, Entrepreneurship and Talent (TEMSMET) Pub Date : 2020-12-10 DOI: 10.1109/TEMSMET51618.2020.9557424

D. Singh, P. Roy

引用次数: 1

Behavior of Soil in Settlement of Foundation: Experimental Approach 地基沉降过程中土的特性:试验方法

2020 IEEE International Conference on Technology, Engineering, Management for Societal impact using Marketing, Entrepreneurship and Talent (TEMSMET) Pub Date : 2020-12-10 DOI: 10.1109/TEMSMET51618.2020.9557530

Hemraj R. Kumavat, Rohan V. Kumavat, Saurabh S Gavande, Sanika K Chavan, J. Mahajan

{"title":"Behavior of Soil in Settlement of Foundation: Experimental Approach","authors":"Hemraj R. Kumavat, Rohan V. Kumavat, Saurabh S Gavande, Sanika K Chavan, J. Mahajan","doi":"10.1109/TEMSMET51618.2020.9557530","DOIUrl":"https://doi.org/10.1109/TEMSMET51618.2020.9557530","url":null,"abstract":"Structural activities also accelerated with the growth of new economic activities around the world. A proper sub-surface investigation is to be carried out to determine the overall suitability of the site and to develop an appropriate and economical, secure design for the proposed work. Overstressing the soil may result in an excessive settlement of the soil, both of which cause structural damage. Standards, therefore, study bearing capacity and settlement theories. Paper focused on designing the foundation of the Basement+G+32 upper floor structure and assessing its suitability through the borehole and log analysis. Data from the soil investigation were obtained from the boreholes at the site of the proposed Tower No.3 (T3) of Tata Serein. The paper focused on different soil parameters and properties at appropriate depths (13 to 16 m) measured from the natural soil level for the exploration of three boreholes (BH-04, BH-07 and BH-15). It is revealed that the settlement is estimated to be 3.88 mm, which is within the 10 mm limit as per standard. These field and laboratory findings are ultimately interpreted to design and recommend an appropriate foundation.","PeriodicalId":342852,"journal":{"name":"2020 IEEE International Conference on Technology, Engineering, Management for Societal impact using Marketing, Entrepreneurship and Talent (TEMSMET)","volume":"229 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123877774","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

Autoencoder Based Network Anomaly Detection 基于自动编码器的网络异常检测

2020 IEEE International Conference on Technology, Engineering, Management for Societal impact using Marketing, Entrepreneurship and Talent (TEMSMET) Pub Date : 2020-12-10 DOI: 10.1109/TEMSMET51618.2020.9557464

Mukkesh Ganesh, Akshay Kumar, V. Pattabiraman

{"title":"Autoencoder Based Network Anomaly Detection","authors":"Mukkesh Ganesh, Akshay Kumar, V. Pattabiraman","doi":"10.1109/TEMSMET51618.2020.9557464","DOIUrl":"https://doi.org/10.1109/TEMSMET51618.2020.9557464","url":null,"abstract":"Network security is one of the most critical fields of computer science. With the advent of IoT technologies and peer-to-peer networks, the significance of mitigating security threats has never been higher. Network Intrusion Detection Systems are used to monitor the traffic in a network to detect any malicious or anomalous behavior. Anomalous behaviour includes different types of attacks such as Denial of Service (DoS), Probe, Remote-to-Local and User-to-Root. If an attack/anomaly is detected, custom alerts can be sent to the desired personals. In this paper, we explored the effectiveness of various types of Autoencoders in detecting network intrusions. Artificial Neural Networks can parse through vast amounts of data to detect various types of anomalies and classify them accordingly. An autoencoder is a type of artificial neural network which can learn both linear and non-linear representations of the data, and use the learned representations to reconstruct the original data. These hidden representations are different from the ones attained by Principal Component Analysis due to the presence of nonlinear activation functions in the network. Reconstruction error (the measure of difference between the original input and the reconstructed input) is generally used to detect anomalies if the autoencoder is trained on normal network data. Here, we compared the performance of 4 different autoencoders on the NLS-KDD dataset to detect attacks in the network. With just reconstruction error, we were able to achieve an accuracy of 89.34% by using a Sparse Deep Denoising Autoencoder.","PeriodicalId":342852,"journal":{"name":"2020 IEEE International Conference on Technology, Engineering, Management for Societal impact using Marketing, Entrepreneurship and Talent (TEMSMET)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131412177","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

A Review on Power Generation from Wind Power Created By Fast Moving Train Perspective Bangladesh 孟加拉高速列车风力发电研究综述

2020 IEEE International Conference on Technology, Engineering, Management for Societal impact using Marketing, Entrepreneurship and Talent (TEMSMET) Pub Date : 2020-12-10 DOI: 10.1109/TEMSMET51618.2020.9557448

Saikat Das, Dipta Mazumder, Nasim Mia, Showhanur Rahman

引用次数: 0

A Study of Big Data and Classification of NoSQL Databases 大数据与NoSQL数据库分类研究

2020 IEEE International Conference on Technology, Engineering, Management for Societal impact using Marketing, Entrepreneurship and Talent (TEMSMET) Pub Date : 2020-12-10 DOI: 10.1109/TEMSMET51618.2020.9557566

Jeelani Ahmed, Muqeem Ahmed

{"title":"A Study of Big Data and Classification of NoSQL Databases","authors":"Jeelani Ahmed, Muqeem Ahmed","doi":"10.1109/TEMSMET51618.2020.9557566","DOIUrl":"https://doi.org/10.1109/TEMSMET51618.2020.9557566","url":null,"abstract":"Today, Big Data is the main topic of discussion everywhere due to its huge popularity as its getting generated in a huge volume in every second. It is getting huge consideration and gratitude because of its wide research area and application scenarios. Large scale, bulky, quick changes, huge growth in data is generally stated as Big Data. Data that is obtained from a wide variety of sources are usually in a format of structured, unstructured or semi-structured data. Many times big data is collected from multiple application sources, so there is a presence of structural heterogeneity. This problem of structural heterogeneity is one of the major challenges for researchers around the world and can be overcome using big data Integration. As big data refers to the data in large volumes, available in different formats and generated at extraordinary speed so to capture, process and analyze this kind of data becomes difficult using traditional data processing tools. These difficulties can be overcome using big data management tools and techniques. Big Data Integration and Management are very crucial, revolutionizing the industries and has many applications in all sectors of human life. This paper discusses brief information about big data, its history, integration issues, and available management methods and tools.","PeriodicalId":342852,"journal":{"name":"2020 IEEE International Conference on Technology, Engineering, Management for Societal impact using Marketing, Entrepreneurship and Talent (TEMSMET)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123749916","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

Sensor Based System to Study the Native Environmental Conditions of Stagnant Water 基于传感器的滞水原生环境条件研究

2020 IEEE International Conference on Technology, Engineering, Management for Societal impact using Marketing, Entrepreneurship and Talent (TEMSMET) Pub Date : 2020-12-10 DOI: 10.1109/TEMSMET51618.2020.9557497

M. Abhishek Kumar, R. Deekshitha, G. Gaurav, R. Inchara, S. Pushpamala

{"title":"Sensor Based System to Study the Native Environmental Conditions of Stagnant Water","authors":"M. Abhishek Kumar, R. Deekshitha, G. Gaurav, R. Inchara, S. Pushpamala","doi":"10.1109/TEMSMET51618.2020.9557497","DOIUrl":"https://doi.org/10.1109/TEMSMET51618.2020.9557497","url":null,"abstract":"Although water being a very important part of living, there is an increase in degradation of water resources. Monitoring water bodies helps in maintaining the ecosystem for aquatic habitat and providing healthy water, thereby, providing objective evidence for timely decisions on managing water quality. There is a need to develop a system for a continuous monitoring of the water bodies with assistance towards determining compliance with drinking water standards. This proposed work is a step towards continuous monitoring in real time using sensors to determine the environmental aspect of stagnant water bodies. A 3D printed robotic unit (fish) imbibed with sensors is used to assess the physical parameters of the water body to determine the quality of water body with the buoyancy controlled unit using Pascal’s Principle of Fluids. Basic parameters like Temperature, Dissolved Oxygen, pH and Turbidity was measured and the data observed on the cloud. Big Data analysis is the future work in this regard.","PeriodicalId":342852,"journal":{"name":"2020 IEEE International Conference on Technology, Engineering, Management for Societal impact using Marketing, Entrepreneurship and Talent (TEMSMET)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122890900","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

Performance Optimization of Planar Directional Coupler 平面定向耦合器的性能优化

2020 IEEE International Conference on Technology, Engineering, Management for Societal impact using Marketing, Entrepreneurship and Talent (TEMSMET) Pub Date : 2020-12-10 DOI: 10.1109/TEMSMET51618.2020.9557408

Harsh Dashora, J. Kumar, D. Mamatha

引用次数: 0

Centrality Measure Analysis on Protein Interaction Networks 蛋白质相互作用网络的中心性测度分析

2020 IEEE International Conference on Technology, Engineering, Management for Societal impact using Marketing, Entrepreneurship and Talent (TEMSMET) Pub Date : 2020-12-10 DOI: 10.1109/TEMSMET51618.2020.9557447

Anooja Ali, Vishwanath R. Hulipalled, S. Patil

{"title":"Centrality Measure Analysis on Protein Interaction Networks","authors":"Anooja Ali, Vishwanath R. Hulipalled, S. Patil","doi":"10.1109/TEMSMET51618.2020.9557447","DOIUrl":"https://doi.org/10.1109/TEMSMET51618.2020.9557447","url":null,"abstract":"Analysis of protein interaction is widely recognized to understand cell physiology and disease conditions. The increase in the accumulation of these interaction data facilitates the recognition of the essential proteins in Protein Protein Interaction (PPI) networks. An array of centrality measures are available to uncover essential proteins in PPI networks. However, majority approaches are centered around topological properties of PPI. Few approaches integrate gene annotation with topology for predicting essential proteins. This biological framework in PPI network are inferred in terms of graph-theoretic approaches. The topological analysis focuses on protein, their interactions, and the subnetworks. In this research, we review the common centrality measures. We thoroughly studied the centrality aspect of each node in the PPI to detect the influential nodes and the impact of topological features in centrality measures. We applied centrality measures to the PPI networks obtained from the Biological General Repository for Interaction Networks (BioGRID) and Mammalian Protein Protein Database (MIPS) datasets. The experimental evaluation shows the behavior of centrality measures to the datasets.","PeriodicalId":342852,"journal":{"name":"2020 IEEE International Conference on Technology, Engineering, Management for Societal impact using Marketing, Entrepreneurship and Talent (TEMSMET)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126271009","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: 4

[TEMSMET 2020 Front cover] [TEMSMET 2020封面]

2020 IEEE International Conference on Technology, Engineering, Management for Societal impact using Marketing, Entrepreneurship and Talent (TEMSMET) Pub Date : 2020-12-10 DOI: 10.1109/temsmet51618.2020.9557398

引用次数: 0

Evaluation of Banking Standards to ascertain their suitability for building Data Models for Big data based Data Lake for Banking Domain 对银行业标准进行评估，以确定其是否适合构建基于大数据的银行业数据湖数据模型

2020 IEEE International Conference on Technology, Engineering, Management for Societal impact using Marketing, Entrepreneurship and Talent (TEMSMET) Pub Date : 2020-12-10 DOI: 10.1109/TEMSMET51618.2020.9557578

N. B. Satyendra, Neeraja K. Swami, Priyanka V. Bhailume

引用次数: 0