International Journal for Research in Engineering Application & Management最新文献_第8页

Shift in the Education System Stimulated by COVID-19 2019冠状病毒病刺激教育体系转变

International Journal for Research in Engineering Application & Management Pub Date : 2020-05-30 DOI: 10.35291/2454-9150.2020.0382

{"title":"Shift in the Education System Stimulated by COVID-19","authors":"","doi":"10.35291/2454-9150.2020.0382","DOIUrl":"https://doi.org/10.35291/2454-9150.2020.0382","url":null,"abstract":"A knowledge based economy is equipped with the weapon of a solution to all its problems even in the time of distress. Hence, with the augmentation of the economies there are announcements of progressive issues which in turn demand for a further augmentation in the sphere of education. India has witnessed a perpetual development in the realm of education, starting from the Vedic era of Gurukul system to the chalk and talk mode of the brick and mortar setup to the ICT enabled digitalized mechanism. The recent pandemic, namely, COVID-19 has unlocked anew demand for a digitally supplemented knowledge space. The contemporary trend tends to replace text books by e-books and resource repositories and the hefty assignments dislodged by the e-assignments which seem to be profoundly advocated by the student fraternity. Invigorated by the online mode of teaching the students band seem to favour this mechanism. The navigation through this digitalized mode of learning necessitates the need for the physical intervention of technologically sound teachers. In this framework the paper envisages to examine the factors which affect the shift from offline to online mode, coupled with analyzing the student body’s reactions while accommodating the teaching learning process during this health crisis.","PeriodicalId":394517,"journal":{"name":"International Journal for Research in Engineering Application & Management","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115658569","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

Model Approach of Crop Classification Using Logistic Regression 基于Logistic回归的作物分类模型方法

International Journal for Research in Engineering Application & Management Pub Date : 2020-05-30 DOI: 10.35291/2454-9150.2020.0417

{"title":"Model Approach of Crop Classification Using Logistic Regression","authors":"","doi":"10.35291/2454-9150.2020.0417","DOIUrl":"https://doi.org/10.35291/2454-9150.2020.0417","url":null,"abstract":"Relation between agriculture and the human development is very old. From the beginning era all participant of food chain in second stage depends on agriculture. At the beginning state life was natural and moving. With the stability of humans use of specific land increased and now stage is , where , humans are useable to chemical products for increasing the quantity of crop production in the land. Though the use of external chemicals result in quantitative growth of crop, but internally soil health get suffer from it and one –day it might be loss her fertility. Soil testing tools has a vital role in testing the soil for nutrient in soil and test its productivity. Easy classification of soil on the basis of its different features and also from testing the quality of soil to suggest the additional supplement to improve the health and nutrient in the soil. Key objective of this paper is to capture soil health in concern of nutrient. In this paper we have shown the classification approach of soil nutrient and detecting the soil health. We have built model using machine leaning algorithm (Logistic Regression) in Python. Results are compared with standard chart of soil health contains from the agriculture laboratory. Our detection accuracy lies between 95 to 99%.","PeriodicalId":394517,"journal":{"name":"International Journal for Research in Engineering Application & Management","volume":"1760 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127451620","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

Credit Analysis in Banking Industry 银行业信用分析

International Journal for Research in Engineering Application & Management Pub Date : 2020-05-30 DOI: 10.35291/2454-9150.2020.0366

{"title":"Credit Analysis in Banking Industry","authors":"","doi":"10.35291/2454-9150.2020.0366","DOIUrl":"https://doi.org/10.35291/2454-9150.2020.0366","url":null,"abstract":"Our economy depends on data which is everywhere, in every section, in every country. We produce and convert it into useable data. Information allows us to enhance the business processes and provide our customers and partners with the best quality standards, services and products. The phenomenal rise in information, and problems encountered while dealing with huge amount of data, make it necessary for an organization to introduce a technique that can overcome these problems and provide an effective solution. Every year the banking organizations, generate enormous amount of valuable data from their customers and their transactions. These valuable data need to be saved and analyzed effectively using big data analytic techniques so as to get the necessary and useful insights for the banking sector. Big Data Analytics (BDA) provides a better consumer experience with better data management creating transparency, collecting more accurate and detailed performance data, setting up controlling experiments, segmenting populations to customize actions, and replacing/supporting human decisions making with automated algorithms. The primary focus of our proposed work will be on identifying the issues that the banking sector faces in decision making while granting loans to customers, in detail and providing an optimal solution using the Big Data approach and tools like Hadoop, HDFS, Spark etc.","PeriodicalId":394517,"journal":{"name":"International Journal for Research in Engineering Application & Management","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121534522","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

Experimental analysis of Wage requirement For Handling the Hopper Wagon in Thermal Power Plant using Job Evaluation Approach 运用岗位评价法对火电厂料斗车装卸工人工资要求进行实验分析

International Journal for Research in Engineering Application & Management Pub Date : 2020-05-30 DOI: 10.35291/2454-9150.2020.0396

引用次数: 0

Design and Analysis of a Drilling Fixture 一种钻孔夹具的设计与分析

International Journal for Research in Engineering Application & Management Pub Date : 2020-05-30 DOI: 10.35291/2454-9150.2020.0362

引用次数: 0

Review of Scrap Reduction Methodologies 检讨减少废料方法

International Journal for Research in Engineering Application & Management Pub Date : 2020-05-30 DOI: 10.35291/2454-9150.2020.0407

引用次数: 0

Comparative study on Image Segmentation and Classification Analysis for brain Abnormality 脑异常图像分割与分类分析的比较研究

International Journal for Research in Engineering Application & Management Pub Date : 2020-05-30 DOI: 10.35291/2454-9150.2020.0405

引用次数: 0

Impact of Big Five Personality Traits on Investment Decisions 五大人格特征对投资决策的影响

International Journal for Research in Engineering Application & Management Pub Date : 2020-05-30 DOI: 10.35291/2454-9150.2020.0415

引用次数: 0

A Review on Facial Emotion Recognition Using Machine and Deep Learning Algorithm 基于机器和深度学习算法的面部情绪识别研究进展

International Journal for Research in Engineering Application & Management Pub Date : 2020-05-30 DOI: 10.35291/2454-9150.2020.0353

{"title":"A Review on Facial Emotion Recognition Using Machine and Deep Learning Algorithm","authors":"","doi":"10.35291/2454-9150.2020.0353","DOIUrl":"https://doi.org/10.35291/2454-9150.2020.0353","url":null,"abstract":"Facial emotions are the changes in facial expressions about a person’s inner excited tempers, objectives, or social exchanges which are scrutinized with the aid of computer structures that attempt to subsequently inspect and identify the facial feature and movement variations from visual data. Facial emotion recognition (FER) is a noteworthy area in the arena of computer vision and artificial intelligence due to its significant commercial and academic potential. FER has become a widespread concept of deep learning and offers more fields for application in our day-to-day life. Facial expression recognition (FER) has gathered widespread consideration recently as facial expressions are thought of as the fastest medium for communicating any of any sort of information. Recognizing facial expressions provides an improved understanding of a person’s thoughts or views. With the latest improvement in computer vision and machine learning, it is plausible to identify emotions from images. Analyzing them with the presently emerging deep learning methods enhance the accuracy rate tremendously as compared to the traditional contemporary systems. This paper emphases the review of a few of the machine learning, deep learning, and transfer learning techniques used by several researchers that flagged the means to advance the classification accurateness of the FEM.","PeriodicalId":394517,"journal":{"name":"International Journal for Research in Engineering Application & Management","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128573624","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 Study on Musical Preference and Styles of Personality among Young Adults 青少年音乐偏好与个性风格的研究

International Journal for Research in Engineering Application & Management Pub Date : 2020-05-30 DOI: 10.35291/2454-9150.2020.0371

引用次数: 1