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

{"title":"Improving Business Intelligence through Machine Learning Algorithms","authors":"Minsang D. Tamang, Vinod Kumar Shukla, S. Anwar, Ritu Punhani","doi":"10.1109/ICIEM51511.2021.9445344","DOIUrl":"https://doi.org/10.1109/ICIEM51511.2021.9445344","url":null,"abstract":"Machine learning (ML) is the study of various algorithms that help in making computers learn and work on itself without any specific programming done beforehand. It is a branch of artificial intelligence in which devices are built or programmed in order to function mostly on its own. In order to be able to predict or make decisions, mathematical models are built by the algorithms. Since machine learning is close to computational statistics, it is useful in developing computers to access data and derive the required outputs. Business Intelligence (BI) consists of the technologies and applications that are used to collect, integrate, analyze raw data and present information of a particular business. These systems help in making strategies and decisions in order to get better results for the future by comparing the past and present performances. It also helps organizations identify the market trends and business problems that have to be looked upon. Along with many advantages like boosting productivity and accountability, it also has a few drawbacks such as it being costly, complex and takes a long time to be implemented. In this paper, we have discussed how combining machine learning with business intelligence would be a true game-changer for companies who can afford it. It can not only help improve operational processes and provide better customer services, but also analyze large amounts of data and achieve real-time data analysis, as well as prevent the number of cybercrimes as these systems can learn to differentiate between what is the threat and what is not. Paper also represents the algorithms that are being used by the company in the process, and if it has been beneficial to them or not. One of the algorithms of machine learning that is used is linear regression. It is easy to implement and is used for purposes such as predicting real estate prices, financial performances and traffic. Cluster analysis is also used for the purpose of understanding the relationship between consumers and the products they mostly search for. In this paper a case study has been presented to demonstrate the business operations that take place in a major airport retailer in the region, and how they take the advantage of Business Intelligence to get better outcomes.","PeriodicalId":264094,"journal":{"name":"2021 2nd International Conference on Intelligent Engineering and Management (ICIEM)","volume":" 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":"120832812","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}

{"title":"Exploiting UML Diagrams for Test Case Generation: A Review","authors":"R. Tiwari, Arun Pratap Srivastava, Garima Bhardwaj, Vinay Kumar","doi":"10.1109/ICIEM51511.2021.9445383","DOIUrl":"https://doi.org/10.1109/ICIEM51511.2021.9445383","url":null,"abstract":"Testing is an integral part of life cycle of software development/ It aims to create a highly uncompromising framework. The program tests are conducted to verify the complex actions of the programme in a small range of test cases chosen from the execution domain. The unified modelling language (UML), which attracts considerable attention from the researchers and professionals, has emerged as an important standard for modelling software systems. In this paper, we will look at how to simplify test cases using UML diagrams including actvity, state, and sequence diagram.","PeriodicalId":264094,"journal":{"name":"2021 2nd International Conference on Intelligent Engineering and Management (ICIEM)","volume":"23 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":"123511481","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}

{"title":"A Hybrid Model for the Classification of Sunflower Diseases Using Deep Learning","authors":"Akash Sirohi, A. Malik","doi":"10.1109/ICIEM51511.2021.9445342","DOIUrl":"https://doi.org/10.1109/ICIEM51511.2021.9445342","url":null,"abstract":"Prediction and Recognition of plant disease in the early stage is one of the most essential needs to increase agriculture, which plays an important role in our country's economy and helps to feed a large population. And with the help of earlier detection, we can save the plants and avoid losses. Deep learning techniques are used widely to classify or predict diseases by using images. This paper proposed a hybrid model of deep learning to classify the sunflower diseases, i.e. Alternaria leaf blight, Downy mildew, Phoma blight, and Verticillium wilt. To make a hybrid model I used the stacking ensemble learning technique and combine two models i.e. VGG-16 and MobileNet, We also make our own dataset with Google images, and our proposed model gave 89.2% accuracy on our dataset, which is better than the other models.","PeriodicalId":264094,"journal":{"name":"2021 2nd International Conference on Intelligent Engineering and Management (ICIEM)","volume":"25 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":"122264014","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}

{"title":"Detection of Attacks in Cloud Computing Environment– A Comprehensive Review","authors":"Pooja Rana, Isha Batra","doi":"10.1109/ICIEM51511.2021.9445284","DOIUrl":"https://doi.org/10.1109/ICIEM51511.2021.9445284","url":null,"abstract":"Today cloud computing is becoming very popular as it provides computing services at low cost. But the major obstacle in the cloud computing implementation is the security issue. Despite various advantages of cloud computing, various organizations are not moving towards it. are Cloud computing is following the distributed technology and many vulnerabilities are introduced because of the features like multi-tenancy, resource-sharing. In this review paper various attacks and intrusion detection system in the cloud computing environment are discussed. Various existing intrusion detection systems for the cloud computing environment are explored and their limitations are also discussed. The future work is also discussed in this review paper.","PeriodicalId":264094,"journal":{"name":"2021 2nd International Conference on Intelligent Engineering and Management (ICIEM)","volume":"6 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":"128876708","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}

{"title":"A Critical Review on the Applications of Optimization Techniques in the UN Sustainable Development Goals","authors":"Umar Muhammad Modibbo, Yashpal Singh Raghav, M. Hassan, M. Mijinyawa","doi":"10.1109/ICIEM51511.2021.9445349","DOIUrl":"https://doi.org/10.1109/ICIEM51511.2021.9445349","url":null,"abstract":"The United Nations agenda 2030 adopted sustainable development goals in 2015 with 17 targets and 231 unique indicators achievable in 2030. The ever-growing demand for member countries for these achievements resulted in the setting of individual aspirational goals. This article extensively discusses the optimization techniques applied in modelling and analyzing several member countries’ vital economic indicators. The study reveals that goal programming (GP) and its variants mostly applied in this regard. Some variants identified include fuzzy GP, stochastic GP, polynomial GP, weighted GP, and GP with satisfaction function. Other multi-criteria optimization techniques also used in different concept. They include the analytic hierarchy process, the fuzzy-AHP, entropy method, the technique for order of preference by similarity to ideal solution (TOPSIS), the fuzzy-TOPSIS, the VIKOR method, the combined compromise solution method and data envelopment analysis. Most of the studies carried out in Africa, Asia, Europe and the UAEs. It shows that some targets are achievable while others are not. Several suggestions and conclusions made in respect of different countries studied to achieve the SDGs vision 2030.","PeriodicalId":264094,"journal":{"name":"2021 2nd International Conference on Intelligent Engineering and Management (ICIEM)","volume":"1 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":"131100764","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}

{"title":"A Novel Optimization Technique for Integrated Supply Chain Network in Industries - A Technical Perspective","authors":"D. Singh, Hossein Shokri Garjan, S. V. Singh, Garima Bhardhwaj","doi":"10.1109/ICIEM51511.2021.9445392","DOIUrl":"https://doi.org/10.1109/ICIEM51511.2021.9445392","url":null,"abstract":"Supply chain (SC) management is an integral part of the technological advancement of industries nowadays. This study designed and presents an optimization model for the inventory-location technical problems in an SC network. The model considers carbon emission and perishable products and formulated a novel model based on the mixed-integer linear programming concept. The proposed model aimed at minimizing the total costs in the network. The solution of the model obtained using the GAMS optimization package. The results show that an optimal solution is reachable within a reasonable time with the presented mathematical model.","PeriodicalId":264094,"journal":{"name":"2021 2nd International Conference on Intelligent Engineering and Management (ICIEM)","volume":"35 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":"125116062","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}

{"title":"Online Attendance Monitoring System Using QR Code (OAMS)","authors":"Shubham Mishra, C. Kumar, Ahmad Ali, J. Bala","doi":"10.1109/ICIEM51511.2021.9445304","DOIUrl":"https://doi.org/10.1109/ICIEM51511.2021.9445304","url":null,"abstract":"The regular attendance system continued in the educational system where the instructor announced the name of every single student and marked the attendance, causing time wastage during address time. This turned out to be increasingly more time-consuming particularly in the current situation where the number of students in a class is exceptionally huge. Dealing with the attendance information of a huge gathering is additionally troublesome. Another burden of the present system is the opportunity for the student to stamp fake attendance. These days mobile phones can tackle the vast majority of the issue rapidly and without any problem. It has made the existence of each individual basic and simpler with the various social application, business applications, critical thinking applications, applications for training and advertising, and so on. Followed by the innovation, the paper proposed a framework that will deal with an issue for recording attendance. The proposed framework has three segments, one for producing the QR Code by entering the student's subtleties and the second application for taking the attendance, and the third for creating the attendance in CSV or XLS design. The educator should check the QR code of the specific understudy to affirm their attendance. The understudy QR code will be given to the teacher to mark their attendance.","PeriodicalId":264094,"journal":{"name":"2021 2nd International Conference on Intelligent Engineering and Management (ICIEM)","volume":"21 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":"127352605","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}

{"title":"Cost effective DIY Smartphone based Retinal Imaging","authors":"Shubhi Gupta, Akhilesh Kumar, Sanjeev Thakur, Ashutosh Gupta, Swati Vashisht, Divya Singh","doi":"10.1109/ICIEM51511.2021.9445288","DOIUrl":"https://doi.org/10.1109/ICIEM51511.2021.9445288","url":null,"abstract":"Images of retina of high quality with a wide field is a powerful form of classifying and detecting retinal diseases. These are preventable however can jeopardize vision. Retinal cameras dependent on cell phones hold guarantee to expand admittance to retinal symbolism, however various characteristics of picture and protected area of view will diminish their value. Our paper proposes fundus camera dependent on your own cell phone that can take photographs of the focal retina as well as the fringe retina at a plana standards. This may be demonstrated well as a methodology less expensive to the camera zeroing in on fundus pictures.","PeriodicalId":264094,"journal":{"name":"2021 2nd International Conference on Intelligent Engineering and Management (ICIEM)","volume":"31 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":"127729298","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}

{"title":"Web Application Implementation with Machine Learning","authors":"Ankit Verma, Chavi Kapoor, Abhishek Sharma, B. Mishra","doi":"10.1109/ICIEM51511.2021.9445368","DOIUrl":"https://doi.org/10.1109/ICIEM51511.2021.9445368","url":null,"abstract":"Every Service nowadays has applications. If we want to order food but don't like to talk to someone, we simply go for the web apps or mobile apps and ordered food and it is the more convenient and easy method. so basically, the web application provides a virtual platform where we do lots of tasks from anywhere all around the globe. Here we make a responsive college community web application that helps the college students, faculty, and alumni to interact on one platform. As the objective of this paper is to elaborate the web application working functionality like the creation of fronted part using React Js, backend part by using Django framework, use of the database in web apps to store data in the database, fetch and serve data in the user interface, deployment of a website in the cloud, all components integration and the main part is the use of machine learning where we create a Machine learning NLP Model for text analysis and using Scikit learn library for using python and using flask to deployed in Web apps.","PeriodicalId":264094,"journal":{"name":"2021 2nd International Conference on Intelligent Engineering and Management (ICIEM)","volume":"311 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113958926","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}

{"title":"Isolation Enhancement of MIMO Antenna for Millimeter wave Applications","authors":"S. V. Singh, Janendra Pratap, Akanksha Singh, Smita Sharma, Shubhi Gupta","doi":"10.1109/ICIEM51511.2021.9445333","DOIUrl":"https://doi.org/10.1109/ICIEM51511.2021.9445333","url":null,"abstract":"In this paper a novel 2x2 multi input multi output antenna system with two crown shaped radiators is introduced. This work illustrates the effect of novel T shaped structure which is connected in the ground, of the compact MIMO antenna with very low mutual coupling for the future 5G millimeter wave applications. A reference monopole antenna is introduced and from that a MIMO antenna was designed which is of very compact size. A very low mutual coupling is achieved with introduction of the T shaped structure in the ground plane. This antenna work for the frequency band of 20-28.1 GHz and all other frequencies are rejected other than this band, the proposed MIMO antenna works for 5G milli meter wave applications. Ground plane is taken as the partial ground plane which further improves the operating bandwidth of the proposed MIMO antenna. Proposed MIMO antenna was simulated and fabricated and results are experimentally verified.","PeriodicalId":264094,"journal":{"name":"2021 2nd International Conference on Intelligent Engineering and Management (ICIEM)","volume":"1 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":"130074205","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}