2023 4th International Conference on Intelligent Engineering and Management (ICIEM)最新文献

{"title":"Handwritten Digit Recognition using Deep Neural Networks","authors":"S. Chauhan, Samar Mahmood, T. Poongodi","doi":"10.1109/ICIEM59379.2023.10167391","DOIUrl":"https://doi.org/10.1109/ICIEM59379.2023.10167391","url":null,"abstract":"People have never been extra reliant on machines than they're nowadays. As an instance, neural network and machine learning algorithms may be used to do everything to classify objects in films for adding some sound to silent films. Similarly, one of the many regions of studies and development is handwritten textual content reputation, which has a plethora of ability programs. Handwritten Recognition (HWR), many times also called as Transcribed textual content acknowledgment Handwritten Text Recognition (HTR), is the capability of a system to benefit and decipher comprehensible manually written input collected from various sources. On this paper, here used Convolution Neural network (CNN), support Vector Machines (SVM), and Multi-Layer Perceptron (MLP) models to perform handwritten digit reputation on MNIST datasets. The main objective is to determine the quality possible model for digit recognition with the aid of evaluating the accuracy and execution instances of the aforementioned models. The CNN model was able to give 99.53% accuracy on testing data.","PeriodicalId":397602,"journal":{"name":"2023 4th International Conference on Intelligent Engineering and Management (ICIEM)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124815027","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":"eCopyright information","authors":"Pranit Puri, Sahil Kumar, Aditya Khare, Pulom Gupta, Gaurav Parashar, Vikas Goel, Sanghmitra Gopal, Priyanka Gupta, Sachin Chauhan, Samar Mahmood, T. Poongodi, Rishi Sanjaykumar Patel, Dhrumi Devendra Amin, Sachindra Patel, Chirag Patel, Mrugendrasinh L. Rahevar, Amit Nayak, Sartaj Ahmad, Puneeta Singh, Shubham Kumar Arya, Shobhit Gupta, S. Dwivedi, T. Seetharaman, Sanchit Jeena, Alka Chaudhary, Ramandeep Singh, Gaurav Singh Manral, R. K. T. Prakhar Duggal, N. Kaushika, Amrisha Minocha, P. B. N. Kiran, K. Sireesha, Somasekhar Donthu, P. Duggal, Ayesha Siddiqui, R. K. Tomar, U. Bharadwaj, Ankit Kumar, Ajitesh Sharma, Sanjiv Kumar Grewal, A. Chaturvedi, Manish Gupta, Archana Singh, Sakshi Mishra, P. Sharma, Varsha Singh, Ashima Arya, Rachna Joshi, Govinda rajulu Lanke, Dibyhash Bordoloi, Anurag Shrivastava, Arun Pratap Srivastavaa, S. Deshmukh, Rohit Kumar","doi":"10.1109/ICIEM59379.2023.10166322","DOIUrl":"https://doi.org/10.1109/ICIEM59379.2023.10166322","url":null,"abstract":"PUBLICATION TITLE Pranjali Srivastava, Pranit Puri, Sahil Kumar, Aditya Khare, Pulom Gupta, Gaurav Parashar, Vikas Goel 2023 4th International Conference on Intelligent Engineering and Management (ICIEM) Sanghmitra Gopal, Priyanka Gupta, Amrisha Minocha 2023 4th International Conference on Intelligent Engineering and Management (ICIEM) Sachin Chauhan, Samar Mahmood, T. Poongodi 2023 4th International Conference on Intelligent Engineering and Management (ICIEM) Rishi Sanjaykumar Patel, Dhrumi Devendra Amin, Sachin Patel, Chirag Patel, Mrugendrasinh Rahevar, Amit Nayak 2023 4th Int rnational Conference on Intelligent Engineer ng nd Management (ICIEM) Sartaj Ahmad, Puneeta Singh, Shubham Kumar Arya, Shobhit Gupta, Sanjeev Kumar Dwivedi 2023 4th International Conference on Intelligent Engineering and Management (ICIEM) Tamizharasi Seetharaman, Vandana Sharma, Varalakshmi BD, Amruta Maruti Khangaonkar 2023 4th Internation l Conference on Intelligent Engineering and Management (ICIEM) Sanchit Jeena, Alka Chaudhary, Ayush Thakur 2023 4th International Conference on Intelligent Engineering and Management (ICIEM) Ramandeep Singh, Alka Chaudhary 2023 4th International Conference on Intelligent Engineering and Management (ICIEM) Gaurav Singh Manral, Alka Chaudhary 2023 4th International Conference on Intelligent Engineering and Management (ICIEM) Aradya Garg, alka Chaudhary 2023 4th International Conference on Intelligent Engineering and Management (ICIEM) Prakhar Duggal, R.K. Tomar, N.D. Kaushika 2023 4th International Conference on Intelligent Engineering and Management (ICIEM) Amrisha Minocha, Priyanka Gupta, Sanghmitra Gopal 2023 4th International Conference on Intelligent Engineering and Management (ICIEM) P. B. Narendra Kiran, Kanugo Sireesha, Dr Somasekhar Donthu, Dr S Kalesha Masthan Vali, Dr.S.Pushpalatha, Palla Madhan 2023 4th I ernational Conference on Inte ligent Engineering and Management (ICIEM) MOHD. SHAHZEB, Prakhar Duggal, UDAYAN VASHIST, RAVINDER K. TOMAR, ISHAAN KOHLI 2023 4th International Conference on Intelligent Engineering and Management (ICIEM) MOHD. SHAHZEB, Prakhar Duggal, Ayesha Siddiqui, Ravinder K. Tomar, Ujjwal Bharadwaj 2023 4th International Conference on Intelligent Engineering and Management (ICIEM) Anwar Nadaf, Dr. Beena B.M 2023 4th International Conference on Intelligent Engineering and Management (ICIEM) Ankit Kumar, Neetu Mittal 2023 4th International Conference on Intelligent Engineering and Management (ICIEM) Ajitesh Sharma, T.Poongodi 2023 4th International Conference on Intelligent Engineering and Management (ICIEM) Himani Maheshwari, Umesh Chandra, Dharminder Yadav, Ashulekha Gupta, Rasmeet Kaur 2023 4th International Conference on Intelligent Engineering and Management (ICIEM) Sanjiv Kumar Grewal, Neeraj Mangla 2023 4th International Conference on Intelligent Engineering and Management (ICIEM) Vandana Sharma, Sahil Gupta 2023 4th International Conference on Intelligent Engineering and Management (ICIEM) Saswat M","PeriodicalId":397602,"journal":{"name":"2023 4th International Conference on Intelligent Engineering and Management (ICIEM)","volume":"183 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115065481","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":"Covid-19 Detection on X-Ray Image Using Deep Learning","authors":"Roja Boina, A. Chaturvedi, Manish Sharma, Anurag Shrivastava, I. Kumar, A. Rao","doi":"10.1109/ICIEM59379.2023.10166708","DOIUrl":"https://doi.org/10.1109/ICIEM59379.2023.10166708","url":null,"abstract":"An unexpected pandemic known as COVID-19 struck the entire world in the year 2020. Research in numerous sectors has been prompted to address it as a result of the lack of treatment. Understanding the new variety and developing a vaccination become more challenging as a virus evolves. Numerous nations are impacted by the rise of novel variations. Therefore, it is crucial to assess COVID-19's performance in addition to death forecasting. The proposal develops numerous analyses, visualizations, and predictive models that can forecast COVID 19 performance. The goal is to first track data visualization, later Covid 19 data are analyzed and predicted globally to raise awareness by applying machine learning techniques including linear regression, support vector regression, and Holt forecasting method. The objective of this study is to understand how machine learning methods and applications are used for various COVID-19-related tasks and investigations. An analysis of research published in Science Direct, Springer, Hindawi, and MDPI on this topic in 2020 using the search terms COVID-19, machine learning, supervised learning, and unsupervised learning. In total, 16,306 articles were retrieved, but 14 searches from these publications were used in this study. It has been demonstrated that machine learning can be useful for understanding, predicting, and differentiating COVID-19.","PeriodicalId":397602,"journal":{"name":"2023 4th International Conference on Intelligent Engineering and Management (ICIEM)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123037054","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":"Analysis and Selection of Lesser Crime Route","authors":"J. Singh, Jitender Tanwar","doi":"10.1109/ICIEM59379.2023.10166202","DOIUrl":"https://doi.org/10.1109/ICIEM59379.2023.10166202","url":null,"abstract":"It is critical to safeguard individuals as much as possible since criminal activity increases daily. Nowadays, people visit many different places, both well-known and obscure. People may not be aware of unsafe neighbourhoods or roadways. In this study work, we tried mining the data of 12 years based on geographic areas in order to discover the safest path out of all conceivable routes for a given source and destination at a specified time. With the help of the ID3 decision tree algorithm, we determine the danger level for each street along a specified path. In order to ensure traveller safety, the safest route is also suggested based on the gender and time of the journey. In this paper, the methodology, dataset, ID3 algorithm, and outcomes are discussed. This algorithm can be applied to a variety of tasks, including neighborhood-level crime analysis, criminal profiling, and assisting potential buyers in real estate transactions.","PeriodicalId":397602,"journal":{"name":"2023 4th International Conference on Intelligent Engineering and Management (ICIEM)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129282833","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":"Green Computing: Optimized Underutilized Host detection in IQR Vm Allocation Policy","authors":"Anwar Nadaf, B. M","doi":"10.1109/ICIEM59379.2023.10166423","DOIUrl":"https://doi.org/10.1109/ICIEM59379.2023.10166423","url":null,"abstract":"In a broader sense, the term “green computing” refers to techniques and guidelines for creating, utilizing, and decommissioning computer resources in a way that is ecologically beneficial while still preserving overall computing performance. To do this, it is necessary to utilize less hazardous materials, use products as efficiently as possible while using the least amount of energy, and increase the reusability, recyclable content, and biodegradability of trash. Many businesses are making efforts to lessen the negative effects of their activities on the environment. An international environmental treaty known as the United Nations Framework Convention on Climate Change (UNFCC) aims to stabilize greenhouse gas emissions in the atmosphere at a level that would stop harmful anthropogenic interference with the eco system. Sustainable development entails growth that doesn't jeopardize the needs of coming generations. It is achieving human development goals while protecting the ecosystems and natural resources that are essential to society. The importance of green computing for sustainable development is emphasized in this paper's assessment of several significant recent studies in the subject. The use of computers and other computing devices in ways that are both energy-efficient and ecologically friendly is known as green computing also referred to as green technology. Energy-efficient servers, peripherals, power systems, and central processing units (CPUs) are frequently used in green computing firms. They underline the necessity of conserving resources and properly disposing of physical and electronic trash (e-waste).","PeriodicalId":397602,"journal":{"name":"2023 4th International Conference on Intelligent Engineering and Management (ICIEM)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132803175","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":"Agent Based Simulation of Botnet Volumetric and Amplification Attack Scenarios Applied to Smart Grid Systems","authors":"Callaghan Ebojoh, Abel Yeboah-Ofori","doi":"10.1109/ICIEM59379.2023.10167206","DOIUrl":"https://doi.org/10.1109/ICIEM59379.2023.10167206","url":null,"abstract":"All industries rely on smart grid infrastructures and systems to energy systems to provide power supply to industries and individual users for innovation, economic growth and sustainability as part of SGD goals. However, recent attacks on the smart grid using various attack methods have made it inevitable to provide security implementation for sustainable development infrastructures and economic growth. Agent-based simulation (ABS) considers modelling complex adaptive systems in a heterogeneous environment to detect their interactive behaviours and attacks. Agents can represent people, households, and business entities in a smart grid system. ABSs are created with three core attributes, the declaration of the agent's architectures and associated agent classes, an agent environment, and the software modules to establish communication protocols between agents. However, threat actors can use these attributes to cause Distributed Denial of Service (DDoS) and False Data Injection Attacks (FDIA) on the smart grid. The paper presents an agent-based simulation of offensive botnet interactions within a smart grid system and considers amplification attack scenarios of DDoS and FDIA on the smart grid. The contribution of the paper is threefold. First, we explore how botnet agent attacks systems using ABS impact of cooperative defence during DDoS and FDIA attacks. Secondly, we implement attack models using GAMA tool to determine offensive botnet interactions within a smart grid system. Finally, we recommend control mechanisms to prevent offensive botnets on the smart grid network. The results show that ABS could be used to detect offensive botnet interactions within smart grid systems to improve cybersecurity.","PeriodicalId":397602,"journal":{"name":"2023 4th International Conference on Intelligent Engineering and Management (ICIEM)","volume":"171 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115183467","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":"CNN based IDS Framework for Financial Cyber Security","authors":"M. Dahiya, Naman Mishra, Chinki Nagar, Ruby Bhati","doi":"10.1109/ICIEM59379.2023.10166069","DOIUrl":"https://doi.org/10.1109/ICIEM59379.2023.10166069","url":null,"abstract":"The Cyber Financial domain has changed a lot over the past few years but with the digitalization of the same, the various gaps in the field of security have risen. In terms of Finance, although there has been the implementation of technology 4.0 there is a lack of proper regulations, and any countermeasures are still absent to make the system secure and prevent any attack on data integrity. This research builds a bridge in the security aspects of cyberspace as well as provides a comprehensive framework which is based on the blockchain network to improve cybersecurity. The various issues with the increasing number of intrusive attacks, data breaches, and system failures have made it important to adopt proper measures to curb the spread of such attacks. To make cyberspace more secure and understand the different types of intrusion attacks an IDS is developed to make use of self-learning to continually grow and thus be more efficient. The proposed VCM framework also makes use of a blockchain network for decentralization as well as the use of smart contracts are also discussed which gives an idea as to the depth of the cybersecurity which can be maintained with the help of this. All the proposed framework is centred around the vulnerabilities of cyberspace which are being continuously exploited by malicious attackers and thus the VCM acts in a comprehensive way to maintain the security, privacy as well as robustness of the system by enforcing certain regulations.","PeriodicalId":397602,"journal":{"name":"2023 4th International Conference on Intelligent Engineering and Management (ICIEM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115533622","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":"Impact of Digital Technologies to Attain Sustainable Development Goals","authors":"Janmejai Kumar Shah, Manu Sharma, A. Misra, Deepak Kaushal, Sudhanshu Joshi","doi":"10.1109/ICIEM59379.2023.10167260","DOIUrl":"https://doi.org/10.1109/ICIEM59379.2023.10167260","url":null,"abstract":"Digital technologies have become an integral aspect of people's life, serving as a strategic lever for businesses' economic and social development objectives. Using thematic analysis, this study looks at the investigation on digital technologies and Sustainable Development Goals (SDGs) from 2014 to 2023, assessing how it influences supply chain operations inside Agri food businesses and identifying new issues for further study. The aim of this research is to examine how digital technologies contribute to the achievement of the SDGs and how they support in tackling societal problems. The bibliometric analysis, clustering, and thematic analysis have been used in this study. These concepts will offer new directions of research.","PeriodicalId":397602,"journal":{"name":"2023 4th International Conference on Intelligent Engineering and Management (ICIEM)","volume":"292 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114398436","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":"Study of Cryptographic Techniques Adopted in Blockchain","authors":"Sartaj Ahmad, Shubham Kumar Arya, Shobhit Gupta, Puneet Singh, S. Dwivedi","doi":"10.1109/ICIEM59379.2023.10166591","DOIUrl":"https://doi.org/10.1109/ICIEM59379.2023.10166591","url":null,"abstract":"This study investigates how blockchain, a decentralized ledger technology that has garnered popularity due to its potential to revolutionize industries, uses cryptography technology. In the article, the main ideas of cryptography-such as encryption, hashing, digital signatures, and public-key cryptography-as well as their applications in blockchain technology are discussed. The significance of cryptography in the blockchain is examined in the paper, with a focus on protecting user data privacy, maintaining data integrity, and authenticating transactions. By using encryption algorithms to scramble data so that only authorized parties can decrypt it, cryptography guarantees that data is protected from unauthorized access. Data integrity is protected by hashing algorithms because any alterations to the data would produce a new hash value. Transactions are authenticated using digital signatures and public-key encryption, ensuring that only authorized parties carry them out. The study also looks at the cryptographic limitations of blockchain, like the possibility of quantum attacks on public-key cryptography, which might jeopardize the security of blockchain systems. The paper's discussion of future research paths and potential areas for advancement in cryptography technology to maintain the security and robustness of blockchain systems comes to a close.","PeriodicalId":397602,"journal":{"name":"2023 4th International Conference on Intelligent Engineering and Management (ICIEM)","volume":"202 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116170850","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":"Real Time Monitoring of Water Quality for Rural Areas: A Machine Learning and Internet of Things Approach","authors":"Tushar Paul, R. Raj, Priyanshi Garg, Shruti Jain","doi":"10.1109/ICIEM59379.2023.10165824","DOIUrl":"https://doi.org/10.1109/ICIEM59379.2023.10165824","url":null,"abstract":"A water quality monitoring system can aid in preserving the environment, ensuring the security of nearby water sources, and fostering economic growth in rural areas. This results in the development of a system, employing the Internet of Things (IoT) and Machine Learning to monitor the quality of water. This paper discusses the characteristics of water that explains whether it is fit for human consumption or not. The pH and Turbidity sensors are dipped in water samples acquired from wells, lakes, rivers, ponds, and other places are used to inform the development of an effective model. The data will be delivered from the sensors to the IDE, where it will then be sent to the cloud server. The model effectively accounts for test tables, where 1 indicates the water is fit for drinking and 0 indicates the water is unfit. The model is validated by employing Support Vector Machine, Random Forest and XG Boost methods. The maximum accuracy of 95.12% was observed using XGBoost. We have successfully implemented the real-time data for the water quality monitoring system for rural areas using Machine Learning and IoT which lets us know whether the water is fit for drinking or not.","PeriodicalId":397602,"journal":{"name":"2023 4th International Conference on Intelligent Engineering and Management (ICIEM)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123475708","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}