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

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PTFM: Pre-processing Based Traffic flow Mechanism for Smart Vehicular Networks 基于预处理的智能车联网交通流机制
2021 2nd International Conference on Intelligent Engineering and Management (ICIEM) Pub Date : 2021-04-28 DOI: 10.1109/ICIEM51511.2021.9445291
Gurpreet singh Shahi, Ranbir Singh Batth, S. Egerton
{"title":"PTFM: Pre-processing Based Traffic flow Mechanism for Smart Vehicular Networks","authors":"Gurpreet singh Shahi, Ranbir Singh Batth, S. Egerton","doi":"10.1109/ICIEM51511.2021.9445291","DOIUrl":"https://doi.org/10.1109/ICIEM51511.2021.9445291","url":null,"abstract":"Vehicles on the roads in urban areas increased exponentially over the last few decades which leads to numerous traffic-related problems. The traffic flow is getting disrupted due to traffic jams, congestions, collisions, and various other hazards. As a result of this the average fuel consumption, travel time, and pollution level is rising at a faster rate. The average speed of travel for vehicles slows down, especially in urban areas. This paper proposed a mechanism (PFTM) that is based on the pre-processing of information on an additional node which is called a shortcut node for managing the vehicular flow data. For every vehicle data and road, information is processed by using this node and saved for future use. This information is used in the future to guide the vehicles to follow better routes. In this article, the proposed mechanism is compared with the existing mechanism NRR, DIVERT and RE-route. The results of PFTM outperform the existing solutions.","PeriodicalId":264094,"journal":{"name":"2021 2nd International Conference on Intelligent Engineering and Management (ICIEM)","volume":"77 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":"129189741","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
SQL Injection: Classification and Prevention SQL注入:分类和预防
2021 2nd International Conference on Intelligent Engineering and Management (ICIEM) Pub Date : 2021-04-28 DOI: 10.1109/ICIEM51511.2021.9445347
A. Rai, MD. Mazharul Islam Miraz, Deshbandhu Das, H. Kaur, Swati
{"title":"SQL Injection: Classification and Prevention","authors":"A. Rai, MD. Mazharul Islam Miraz, Deshbandhu Das, H. Kaur, Swati","doi":"10.1109/ICIEM51511.2021.9445347","DOIUrl":"https://doi.org/10.1109/ICIEM51511.2021.9445347","url":null,"abstract":"With the world moving towards digitalization, more applications and servers are online hosted on the internet, more number of vulnerabilities came out which directly affects an individual and an organization financially and in terms of reputation too. Out of those many vulnerabilities such as Injection, Deserialization, Cross site scripting and more. Injection stand top as the most critical vulnerability found in the web application. Injection itself is a broad vulnerability as it further consists of SQL Injection, Command injection, LDAP Injection, No-SQL Injection etc. In this paper we have reviewed SQL Injection, different types of SQL injection attacks, their causes and remediation to comprehend this attack.","PeriodicalId":264094,"journal":{"name":"2021 2nd International Conference on Intelligent Engineering and Management (ICIEM)","volume":"169 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":"116415118","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: 8
A Review on life cycle assessment of phase change materials in buildings 建筑相变材料生命周期评价研究进展
2021 2nd International Conference on Intelligent Engineering and Management (ICIEM) Pub Date : 2021-04-28 DOI: 10.1109/ICIEM51511.2021.9445375
P. Duggal, R. K. Tomar, N. Kaushika
{"title":"A Review on life cycle assessment of phase change materials in buildings","authors":"P. Duggal, R. K. Tomar, N. Kaushika","doi":"10.1109/ICIEM51511.2021.9445375","DOIUrl":"https://doi.org/10.1109/ICIEM51511.2021.9445375","url":null,"abstract":"It is very important to carry out the environmental impact assessment of Phase Change Materials (PCM) when they are incorporated in building components through Life Cycle Assessment (LCA) and it is an extensively studied area. In this paper a literature review on the LCA for PCM incorporated building structures is presented to establish the extent of their environmental impacts. And also analyses whether the positive impacts of the operational phases outweigh the negative impacts from manufacturing and disposal phase of PCMs. The methodologies of LCA process according to the international standards and its application in impact assessment also discussed. From studies it has been found that they keep consistency in various stages and depend only on the scope and goal of the LCA processes. This study also suggests that PCMs are good Thermal Energy Storage (TES) components compared to conventional TES techniques.","PeriodicalId":264094,"journal":{"name":"2021 2nd International Conference on Intelligent Engineering and Management (ICIEM)","volume":"24 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":"126121496","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
Multi-Lane Capsule Network Architecture for Detection of COVID-19 新型冠状病毒检测的多车道胶囊网络架构
2021 2nd International Conference on Intelligent Engineering and Management (ICIEM) Pub Date : 2021-04-28 DOI: 10.1109/ICIEM51511.2021.9445363
S. Sridhar, Sowmya Sanagavarapu
{"title":"Multi-Lane Capsule Network Architecture for Detection of COVID-19","authors":"S. Sridhar, Sowmya Sanagavarapu","doi":"10.1109/ICIEM51511.2021.9445363","DOIUrl":"https://doi.org/10.1109/ICIEM51511.2021.9445363","url":null,"abstract":"The COVID-19 pandemic in the world has given rise to a lot of research done in the field of medical imaging using deep learning and artificial intelligence methods for the detection and prognosis of the disease. Capsule Networks (CapsNet) perform image classification by identifying the spatial location and orientation of features within the images. In this paper, a Multi-lane Capsule Neural Networks (MLCN) model is introduced that performs dynamic routing networks with dimensionally distinct parallel lanes, replacing the traditional pooling operations in Convolutional Neural Networks (CNN). With the use of parallel capsules, feature orientation identification at any given part of the image is improved. The MLCN model has been studied in this paper using the X-ray images collected from patients tested for COVID-19 and its performance is evaluated using a number of metrics. It has been observed that the performance of the constructed CapsNet model achieved a testing accuracy of 96.8% with the F-1 score 97.19% performing better than the existing state-of-the-art models.","PeriodicalId":264094,"journal":{"name":"2021 2nd International Conference on Intelligent Engineering and Management (ICIEM)","volume":"16 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":"126699678","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: 3
Deep learning-based model for breast cancer histopathology image classification 基于深度学习的乳腺癌组织病理图像分类模型
2021 2nd International Conference on Intelligent Engineering and Management (ICIEM) Pub Date : 2021-04-28 DOI: 10.1109/ICIEM51511.2021.9445319
Shubham Kushwaha, Mohammad Adil, M. Abuzar, Akib Nazeer, S. Singh
{"title":"Deep learning-based model for breast cancer histopathology image classification","authors":"Shubham Kushwaha, Mohammad Adil, M. Abuzar, Akib Nazeer, S. Singh","doi":"10.1109/ICIEM51511.2021.9445319","DOIUrl":"https://doi.org/10.1109/ICIEM51511.2021.9445319","url":null,"abstract":"Breast cancer is the most commonly found cancer in India and the world. As per Global Cancer Observatory, in 2020 this cancer alone was the reason for the death of more than 6.8 million women throughout the world. There is no single cause of breast cancer but it could be a combination of one's environment, one's genes and the way one lives her life. These breast tumors can be benign (non- cancerous) or malignant (potentially-cancerous). Therefore, it becomes essential to identify them properly for appropriate treatment. Although histopathology images are used to judge breast cancer, there is always a chance of human error. This paper aims to simplify the breast cancer classification process for everyone. We propose a deep learning based Convolutional Neural Network model to detect and classify the breast cancer using histopathology images. This method uses pretrained neural network DenseNet-201 for features extraction from the images, which then used to predict for classification. Our model reached an accuracy of 97.05%.","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":"125240008","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: 3
An Analysis of Students' Readiness and Facilitators' Perception Towards E-learning Using Machine Learning Algorithms 学生对使用机器学习算法的电子学习的准备情况和促进者的感知分析
2021 2nd International Conference on Intelligent Engineering and Management (ICIEM) Pub Date : 2021-04-28 DOI: 10.1109/ICIEM51511.2021.9445296
Surendra Tiwari, S. K. Srivastava, Sunil Upadhyay
{"title":"An Analysis of Students' Readiness and Facilitators' Perception Towards E-learning Using Machine Learning Algorithms","authors":"Surendra Tiwari, S. K. Srivastava, Sunil Upadhyay","doi":"10.1109/ICIEM51511.2021.9445296","DOIUrl":"https://doi.org/10.1109/ICIEM51511.2021.9445296","url":null,"abstract":"E-learning is a tool which supports teachers, students and working Executives through mobiles, Computers, tablets. It uses Internet, Satellite, VSAT and Web Technology to execute e-Learning. e- Learning provides 24 * 7 learning environment all over the world. E-Learning helps educational institutions to fill the gap between Teachers and Student in two different geographical locations. Low cost of hardware, software , development in multimedia technology and rise in demand of cheap internet services make e-learning affordable, reachable to every corner of the world. It allows students from rural as well as urban areas to connect anytime. This technology deliver online and offline learning content. Students can access learning content through mobiles and computers in 24 * 7 environments. In India youth play an important role and also youth contribute its major population. So e learning is a tool that caters the need of growing population. E-leaning helps Universities to enroll large numbers of students from all over the world that helps students and Institutions to exchange culture, currency and improve international business and global placement assistance. This project focuses on various emerging technologies and models used in e-learning to improve the learning and skills and to cater the large population of the country. The current study uses the four basics of data science approach i.e. descriptive approach, Diagnostic approach, predictive and perspective approach. World is progressing in all spheres of life and its developments be it technological Social or economic development [12]. Purpose of this project is to suggest a model that helps secondary and vocational education system so that e-leaning reached to every rural area in term of learning, training and helps in assisting placement to young youth by the use of data Science approach.","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":"132110107","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
Cyber Threat Landscape of G4 Nations: Analysis of Threat Incidents & Response Strategies G4国家的网络威胁形势:威胁事件分析及应对策略
2021 2nd International Conference on Intelligent Engineering and Management (ICIEM) Pub Date : 2021-04-28 DOI: 10.1109/ICIEM51511.2021.9445307
Garima Bhardwaj, Ruchika Gupta, Arun Pratap Srivastava, S. Vikram Singh
{"title":"Cyber Threat Landscape of G4 Nations: Analysis of Threat Incidents & Response Strategies","authors":"Garima Bhardwaj, Ruchika Gupta, Arun Pratap Srivastava, S. Vikram Singh","doi":"10.1109/ICIEM51511.2021.9445307","DOIUrl":"https://doi.org/10.1109/ICIEM51511.2021.9445307","url":null,"abstract":"The application and development of communications and information technology has created a new battleground. The cyber threat is growing rapidly with high pace and variation in the world. It will significantly affect international relations in the 21st century. These threats can be both planned and unplanned and it can come from different sources, like information warfare, hackers, criminals, virus writers, contractors or disgruntled employees working within an organization. This paper brings out a comparative assessment of cyber threats in the G4 Nations which are emerging economies and at higher risk of cyber-attacks. The paper gives an overview of the state of cyber threats and response strategies of G4 Nations. This study focuses mainly on the factors which makes them vulnerable targets of such attacks as well as on the impact assessment of such attacks on these economies. While the impacts of these threats cannot be over emphasized, recommendations were proposed on how these threats can be minimized if not totally eliminated.","PeriodicalId":264094,"journal":{"name":"2021 2nd International Conference on Intelligent Engineering and Management (ICIEM)","volume":"30 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":"133593895","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
A review on gain enhancement techniques of microstrip antenna 微带天线增益增强技术研究进展
2021 2nd International Conference on Intelligent Engineering and Management (ICIEM) Pub Date : 2021-04-28 DOI: 10.1109/ICIEM51511.2021.9445306
Arun Kumar, Raghav Khandelwal, Samarth Singh, Ambuj Kumar, Arsh Makhdumi
{"title":"A review on gain enhancement techniques of microstrip antenna","authors":"Arun Kumar, Raghav Khandelwal, Samarth Singh, Ambuj Kumar, Arsh Makhdumi","doi":"10.1109/ICIEM51511.2021.9445306","DOIUrl":"https://doi.org/10.1109/ICIEM51511.2021.9445306","url":null,"abstract":"Recently, a lot of research has been carried out to improve the performance of microstrip antenna specially in terms of their gain. In this paper, several techniques invented in past to improve the gain of antenna has been investigated and summarized. The various techniques include the addition of frequency selective surface (FSS), metallic reflectors, parasitic patches, superstrate, shorting pins and partial substrate removal. This paper gives an in-depth review of various techniques in terms of gain improvement and ease of implementation in microstrip antennas used for various wireless applications. This paper helps to decide the best technique of gain improvement for microstrip antennas.","PeriodicalId":264094,"journal":{"name":"2021 2nd International Conference on Intelligent Engineering and Management (ICIEM)","volume":"8 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":"131677056","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 Survey about Role of Data Mining Techniques and its Applications in Healthcare Sector 数据挖掘技术的作用及其在医疗保健领域的应用综述
2021 2nd International Conference on Intelligent Engineering and Management (ICIEM) Pub Date : 2021-04-28 DOI: 10.1109/ICIEM51511.2021.9445300
R. A, K. Rohini
{"title":"A Survey about Role of Data Mining Techniques and its Applications in Healthcare Sector","authors":"R. A, K. Rohini","doi":"10.1109/ICIEM51511.2021.9445300","DOIUrl":"https://doi.org/10.1109/ICIEM51511.2021.9445300","url":null,"abstract":"The Data mining is a goal part of different areas looking like financing, quantifiable exploration, instructing, retail, e-business, advertising, human services and so forth. Numerous analysts have been deliberately been inspected and reviewed in social insurance, which is a functioning interdisciplinary region that is the degree of information mining. The assignment of understanding evacuation in the social insurance records is a requesting undertaking and complicated as well. The interoperability of heterogeneous clinical gadgets, security of the patient data, and customized representation of the handled information is by all accounts exceptionally fundamental. In this paper analyzed Data mining techniques with machine learning algorithms and tools.","PeriodicalId":264094,"journal":{"name":"2021 2nd International Conference on Intelligent Engineering and Management (ICIEM)","volume":"316 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":"114960195","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 State of the Art Regressor Model’s comparison for Effort Estimation of Agile software 基于回归模型的敏捷软件工作量估算比较
2021 2nd International Conference on Intelligent Engineering and Management (ICIEM) Pub Date : 2021-04-28 DOI: 10.1109/ICIEM51511.2021.9445345
Mohit Arora, Abhishek Sharma, Sapna Katoch, Mehul Malviya, Shivali Chopra
{"title":"A State of the Art Regressor Model’s comparison for Effort Estimation of Agile software","authors":"Mohit Arora, Abhishek Sharma, Sapna Katoch, Mehul Malviya, Shivali Chopra","doi":"10.1109/ICIEM51511.2021.9445345","DOIUrl":"https://doi.org/10.1109/ICIEM51511.2021.9445345","url":null,"abstract":"Advances and innovations in the field of software engineering are increasing rapidly. This sensitizes researchers to explore the various cross-cutting concerns incorporated to handle the complexities of various domains of interest. One such thrust area is effort estimation in Agile-inspired software. Estimation has always been challenging in an Agile environment because of its requirement volatility. This paper introduces a critical review of state-of-the-art regression techniques to estimate the efforts of Agile projects. It can be concluded from the obtained results that ensemble estimation techniques outperformed single techniques of estimation. The data have been taken from various companies implementing Agile practices. Different regressors have been trained, tested, crossvalidated, and optimized to fill the actual and estimated effort gap. We have used six regression techniques in this paper, Extreme Gradient Boosting (XGB), Decision Tree (DT), Linear Regressor (LR), Random Forest (RF), Adaptive Boosting (AdaBoost) and, Categorical boosting (CatBoost) regressors. Cat Boost regressor wins with the lowest Root Mean Square Error (RMSE) in comparison to other regressors.","PeriodicalId":264094,"journal":{"name":"2021 2nd International Conference on Intelligent Engineering and Management (ICIEM)","volume":"11 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":"115477061","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: 5
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