2021 2nd International Conference on Intelligent Engineering and Management (ICIEM)最新文献_第6页

Sustainable Building Design: Energy Analysis of a Residential Building using AutodeskRevit 可持续建筑设计:使用AutodeskRevit的住宅建筑能源分析

2021 2nd International Conference on Intelligent Engineering and Management (ICIEM) Pub Date : 2021-04-28 DOI: 10.1109/ICIEM51511.2021.9445376

A. Maurya, Ravinder Kumar, U. Bharadwaj, Paritosh Rawat, Muthkur V Kumar

引用次数: 3

CryptMe: A Cryptographic framework with Steganography for securing data 使用隐写术保护数据的加密框架

2021 2nd International Conference on Intelligent Engineering and Management (ICIEM) Pub Date : 2021-04-28 DOI: 10.1109/ICIEM51511.2021.9445390

Vivek Kumar, H. Kaur, S. Paul

引用次数: 0

Supervised Sentiment Analysis on Amazon Product Reviews: A survey 监督情感分析对亚马逊产品评论的影响

2021 2nd International Conference on Intelligent Engineering and Management (ICIEM) Pub Date : 2021-04-28 DOI: 10.1109/ICIEM51511.2021.9445303

Monir Yahya Ali Salmony, Arman Rasool Faridi

{"title":"Supervised Sentiment Analysis on Amazon Product Reviews: A survey","authors":"Monir Yahya Ali Salmony, Arman Rasool Faridi","doi":"10.1109/ICIEM51511.2021.9445303","DOIUrl":"https://doi.org/10.1109/ICIEM51511.2021.9445303","url":null,"abstract":"Sentiment Analysis (SA), which is also known as Opinion Mining, is a hot-fastest growing research area, making it challenging to follow all the activities in such areas. It intends to study people's thoughts, feelings, and attitudes about topics, events, issues, entities, individuals, and their attributes in social media (e.g., social networking sites, forums, blogs, etc.) expressed by either text reviews or comments. Amazon is an example of the world's largest online retailer that allows its customers to rate its products and freely write reviews. Analyzing these reviews into positive or negative; will assist customers' decision making, which varies from purchasing a product like a camera, mobile phone, etc., to writing a review about movies and making investments - all of these decisions will have a significant impact on the daily life. Sentiment analysis draws the attention of both scientific and market research in Natural Language Processing and Machine Learning fields. In general, the machine learning approach consists of supervised and unsupervised algorithms. In this research study, a detailed typical workflow process often adopted by the researchers is presented. Moreover, traditional supervised machine learning classification techniques have been investigated on various categories of Amazon product reviews to find the best method that provides a reliable result of sentiment analysis and assists future research in this newly emerging area.","PeriodicalId":264094,"journal":{"name":"2021 2nd International Conference on Intelligent Engineering and Management (ICIEM)","volume":"125 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131426210","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

A Novel Approach of Symmetric Key Cryptography 一种新的对称密钥加密方法

2021 2nd International Conference on Intelligent Engineering and Management (ICIEM) Pub Date : 2021-04-28 DOI: 10.1109/ICIEM51511.2021.9445343

Sanjeev Kumar, Madhu Sharma Gaur, Prem Sagar Sharma, Deepkiran Munjal

{"title":"A Novel Approach of Symmetric Key Cryptography","authors":"Sanjeev Kumar, Madhu Sharma Gaur, Prem Sagar Sharma, Deepkiran Munjal","doi":"10.1109/ICIEM51511.2021.9445343","DOIUrl":"https://doi.org/10.1109/ICIEM51511.2021.9445343","url":null,"abstract":"Cryptography plays an important role in secured data communication over the network using unknown, untrusted mediums. In the fast digital transformation, traffic on network increasing rapidly where users are always connected, being online, anytime anywhere. As part of data, extortions like altering, spoofing and snooping of are quite common over the network by unauthorized access. Cryptography is well known mechanism where asymmetric or symmetric algorithms using public or private keys provide secure data communication. There are many more cryptography algorithms existing but with emerging technologies and diverse application domains seeking consistent enhancement and better performance with resource restriction. In this paper, we present a novel symmetric cryptography technique based on Caesar cipher symmetric cryptography technique to transform the original text/message into secret text/message. In this technique, the sender transmits hash code instead of symmetric key and Hash code provides the symmetric key to the receiver to decrypt the message of a sender. Proposed method works for all 256 characters having ASCII value from 0 to 255.","PeriodicalId":264094,"journal":{"name":"2021 2nd International Conference on Intelligent Engineering and Management (ICIEM)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132157046","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: 10

An Overview on Plant Disease Detection Algorithm Using Deep Learning 基于深度学习的植物病害检测算法综述

2021 2nd International Conference on Intelligent Engineering and Management (ICIEM) Pub Date : 2021-04-28 DOI: 10.1109/ICIEM51511.2021.9445336

Manivarsh Adi, Abhishek Singh, Harinath Reddy A, Y. Kumar, Venkata Reddy Challa, Pooja Rana, Usha Mittal

引用次数: 4

Fast Image Encryption Framework for Medical Images 医学图像的快速图像加密框架

2021 2nd International Conference on Intelligent Engineering and Management (ICIEM) Pub Date : 2021-04-28 DOI: 10.1109/ICIEM51511.2021.9445362

Parsa Sarosh, S. A. Parah, G. Mohiuddin Bhat

{"title":"Fast Image Encryption Framework for Medical Images","authors":"Parsa Sarosh, S. A. Parah, G. Mohiuddin Bhat","doi":"10.1109/ICIEM51511.2021.9445362","DOIUrl":"https://doi.org/10.1109/ICIEM51511.2021.9445362","url":null,"abstract":"The role of Information and Communication Technology (ICT) in healthcare has increased tremendously. The era of Artificial Intelligence, the Internet of Health Things (IoHT), and networked technologies have revolutionized the paradigm of healthcare. In the healthcare domain, digital images are a means by which sensitive information about the patients can be transferred wirelessly. Maintaining the confidentiality of these images requires designing a cryptosystem that is fast and sturdy. In this work, we present a fast chaos-based encryption scheme for medical images. The scheme employs a Logistic map, Chebyshev map, and Piecewise Linear Chaotic Map (PWLCM) for confusion and diffusion of the medical image. Initially, the image is circularly shifted, and subsequently, bit plane slicing is performed. The Most Significant Bit (MSB) plane is replaced with a plane formed by the XOR operation between the MSB and 7th ISB plane. The resultant image is scrambled using the Pseudo Random Number (PRN) generated by the Logistic map. The scheme is adaptive and calculates the image parameter like sum or mean to determine the initial condition for the PWLCM chaotic map. The PWLCM is used to generate a key image that is XORed with the scrambled image. Finally, a Chebyshev map is iterated and a PRN sequence is generated to permute the image pixels and obtain the final encrypted image. The cryptosystem has been evaluated for multiple types and sizes of medical images and on natural images as well. The average encryption time for an image of size 256×256 is 0.3287 seconds. The entropy is more than 99.70% and the correlation coefficient is close to zero for all the images. Simulation results validate that the cryptosystem has comparable performance with state-of-the-art schemes.","PeriodicalId":264094,"journal":{"name":"2021 2nd International Conference on Intelligent Engineering and Management (ICIEM)","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114495004","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 Review on Impact of Internet of Things (IoT) on Individual Privacy in Smart Home Systems 物联网(IoT)对智能家居系统中个人隐私的影响综述

2021 2nd International Conference on Intelligent Engineering and Management (ICIEM) Pub Date : 2021-04-28 DOI: 10.1109/ICIEM51511.2021.9445330

Fadimatu Muhammad Marafa, Suleiman Sa'ad, Aisha Tukur, A. Mohammed

引用次数: 1

A distributed and unified API service for machine learning models 为机器学习模型提供分布式和统一的API服务

2021 2nd International Conference on Intelligent Engineering and Management (ICIEM) Pub Date : 2021-04-28 DOI: 10.1109/ICIEM51511.2021.9445348

Harshal Nandigramwar, A. Mittal, Apoorv Bhatnagar, M. Rashid

引用次数: 2

Cattle Movement Monitoring and Location Prediction System Using Markov Decision Process and IoT Sensors 利用马尔可夫决策过程和物联网传感器的牛运动监测和位置预测系统

2021 2nd International Conference on Intelligent Engineering and Management (ICIEM) Pub Date : 2021-04-28 DOI: 10.1109/ICIEM51511.2021.9445360

G. Suseendran, D. Balaganesh

引用次数: 3

The Diagnostic Feedback Supervision Model based on Information Technology as The New Strategy to Improve The Professional Competence of Academic Personnel in School Organization 基于信息技术的诊断反馈监督模式:提高学校组织学术人员专业能力的新策略

2021 2nd International Conference on Intelligent Engineering and Management (ICIEM) Pub Date : 2021-04-28 DOI: 10.1109/ICIEM51511.2021.9445370

B. Wiyono, A. Supriyanto, Maisyaroh Maisyaroh, Henny Indreswari

{"title":"The Diagnostic Feedback Supervision Model based on Information Technology as The New Strategy to Improve The Professional Competence of Academic Personnel in School Organization","authors":"B. Wiyono, A. Supriyanto, Maisyaroh Maisyaroh, Henny Indreswari","doi":"10.1109/ICIEM51511.2021.9445370","DOIUrl":"https://doi.org/10.1109/ICIEM51511.2021.9445370","url":null,"abstract":"The teacher is academic personnel at a school organization. The quality of education will be achieved if it is supported by professional teachers. There have been many attempts to improve the professional skills of teachers, but until now they have not achieved the expected qualifications. Therefore, it is necessary to formulate a more effective teacher supervision model. The success of supervision is not only determined by the intensity of the supervision carried out but also the strategy used. The diagnostic feedback supervision model based on information technology is one technique that is thought to be effective in improving teacher professional competence. The model emphasizes independent development, which is carried out through a cycle with planning, implementation, and evaluation steps, that are supported by information technology. The purpose of this study is to formulate and test the effectiveness of a diagnostic feedback supervision model based on information technology to improve teachers' professional competence. The research was conducted in Malang City, using a quasi-experimental design. The research sample taken was a number of 30 teachers. Data were collected by tests and questionnaires techniques, while descriptive statistics and t-test were used for analyzing it. The results showed that the diagnostic feedback supervision model based on information technology was very effective in improving the professional competence of teachers.","PeriodicalId":264094,"journal":{"name":"2021 2nd International Conference on Intelligent Engineering and Management (ICIEM)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125066719","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