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

{"title":"A Survey on Network Penetration Testing","authors":"G. Jayasuryapal, P. Pranay, H. Kaur, Swati","doi":"10.1109/ICIEM51511.2021.9445321","DOIUrl":"https://doi.org/10.1109/ICIEM51511.2021.9445321","url":null,"abstract":"Penetration on network is an important security measurements every company want to take into the consideration. Day-to-Day life as it is seen that cybercrimes are increasing due to lack of security practice. Penetration testing is an outstanding approach where pen tester evaluates the security of network and numerous applications by simulating attacks from attacker’s view point .Additionally, penetration testing process follow certain rules and agreement that both the parties ( client and pen testing team). By this testing, the company’s weakness will be detected like open servers and open ports etc. so we can take a countermeasure by doing penetration testing on the company. This paper contains some of the important terms and steps to do a strong penetration testing on organizations. Hence, this paper covered all the mechanisms including information gathering to the post exploitation.","PeriodicalId":264094,"journal":{"name":"2021 2nd International Conference on Intelligent Engineering and Management (ICIEM)","volume":"54 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":"133020593","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":"Design and fabrication of a Hybrid Go-Kart","authors":"Mohamed Haseb, Kizhakkelan Sudhakaran Siddharth","doi":"10.1109/ICIEM51511.2021.9445273","DOIUrl":"https://doi.org/10.1109/ICIEM51511.2021.9445273","url":null,"abstract":"The racing go-kart used these days are completely run using a petrol engine. This leads to several mechanical issues such as engine breakdown, gearbox issues etc which cause great damage to the racing team both financially and physically. it should also be mentioned that whenever there is a mechanical issue, the damage not only affects that particular vehicle but also leads to further accidents in the track causing damage to other vehicles in the competition as well. The current work is an attempt to design and fabricate a hybrid go-kart which overcomes these issues. The Go-kart used in the project runs with a Rotax FR 125 Max petrol engine, which is 21kW or 28Hp and a 3kW or 4Hp, Electric Brushless Motor is added to the Go-kart through the project to make it Hybrid. Formula-K FK 01 Chassis is used for this project. This Hybrid Technology can be used when the petrol engine is damaged during the race or when the vehicle runs at low speed in order to save petrol and reduce carbon emission. However, this Hybrid system will not automatically turn on, but have to be switched manually to change the primary power source from petrol engine to an electric motor. The project focuses on improving the current design structure and other safety features in a go-kart thereby making the Go-kart more durable, efficient and ways to avoid further collision during sudden mechanical failure.","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":"133273527","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":"Intelligent technologies adoption and their effects on the performance of Indian manufacturing SMEs in modern era: An IRP analysis","authors":"Ravinder Kumar, H. K, K. V, Bhavish Rk","doi":"10.1109/ICIEM51511.2021.9445385","DOIUrl":"https://doi.org/10.1109/ICIEM51511.2021.9445385","url":null,"abstract":"In modern era pandemic has affected all sections of society. The norm of social distancing, non-availability of the workforce due to migration, lockdown and fluctuating demand are few challenges of this era. Competing in such a tough time is a challenging task for manufacturing small and medium enterprises (SMEs). In the current scenario implementation of intelligent technologies can give advantages in the manufacturing sector. All challenges of the modern era can be dealt by adopting automatic technologies.In current research paper authors have identified challenges of implementing intelligent technologies and studied their effects on the performance of Indian manufacturing SMEs. For holistic analysis and ranking of challenges in comparison to performance, authors have used interpretive ranking process (IRP). These challenges can influence the others strategic decision on technologies implementation. From IRP analysis author observed that deficient sentience on intelligent technologies, deficient funding for research on intelligent technologies, deficient long term planning on intelligent technologies and deficient prompting from partners on intelligent technologies are highly ranked and dominating challenges.","PeriodicalId":264094,"journal":{"name":"2021 2nd International Conference on Intelligent Engineering and Management (ICIEM)","volume":"41 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":"133412460","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":"Robust Secured Framework for Online Business Transactions over Public Network","authors":"Vimal Bibhu, Akhilesh Kumar, B. P. Lohani, Pradeep Kushwaha","doi":"10.1109/ICIEM51511.2021.9445380","DOIUrl":"https://doi.org/10.1109/ICIEM51511.2021.9445380","url":null,"abstract":"Today technology has advanced and mature at level that the financial institution such as bank employed the system of banking by mouse click. This is possible through the help of local area network and Internet. Internet is available everywhere. The banking functions of online system makes human life more ease to not physically arrive at bank premise to do transactions. Online banking system poses various security risks. The risks are required to be analyzed and proper prevention and mitigation techniques have been employed by bank to protect the sensitive information following through the local network and also with public network. The various protection mechanisms with tool and technologies are used by bank to protect the sensitive and critical customer and bank information from cyber criminals. The intruder can disrupt the functions of online bank by service congestion or by vulnerability analysis. In this research work we have proposed a layer based security framework for bank that operates its businesses under online mode. The authorization matrix defines the level of functional depth with defined role of each employee of the bank. Bank also protects its information from personnel level abuse by following various measures of functional aspects under the bank.","PeriodicalId":264094,"journal":{"name":"2021 2nd International Conference on Intelligent Engineering and Management (ICIEM)","volume":"74 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":"115388050","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":"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}