International Scientific Journal of Engineering and Management最新文献

{"title":"COMPUTER NETWORKS","authors":"B. S","doi":"10.55041/isjem00277","DOIUrl":"https://doi.org/10.55041/isjem00277","url":null,"abstract":"Computer networks are essential components of modern computing systems. They allow computers to communicate with each other and access shared resources, such as databases and file servers. This paper examines the different types of computer networks, their components, and how they interact. It also discusses the various protocols used for communication and how they are used to establish reliable network connections. Finally, the paper concludes with a discussion of the importance of network security and the potential risks associated with computer networks. Computer networking refers to the interconnection of multiple devices and computers with the help of communication channels such as cables, routers, switches, and other network devices. It enables devices to communicate and share information with each other, which in turn facilitates data exchange and collaboration between individuals and organizations.The purpose of computer networking is to establish a communication infrastructure that can transmit data between devices and users in a secure, efficient, and reliable manner. This involves the use of protocols, algorithms, and network technologies that ensure seamless communication between devices regardless of their location. KEYWORDS: Computer Networks, Network Protocols, Network Security, Potential Risks","PeriodicalId":285811,"journal":{"name":"International Scientific Journal of Engineering and Management","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130545388","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 Phishing Websites Based on Extreme Machine Learning","authors":"M. Lakshmi","doi":"10.55041/isjem00384","DOIUrl":"https://doi.org/10.55041/isjem00384","url":null,"abstract":"Phishing sites which expects to take the victims confidential data by diverting them to surf a fake website page that resembles a honest to goodness one is another type of criminal acts through the internet and its one of the especially concerns toward numerous areas including e-managing an account and retailing. Phishing site detection is truly an unpredictable and element issue including numerous components and criteria that are not stable. On account of the last and in addition ambiguities in arranging sites because of the intelligent procedures programmers are utilizing, some keen proactive strategies can be helpful and powerful tools can be utilized, for example, fuzzy, neural system and data mining methods can be a successful mechanism in distinguishing phishing sites. Keyword: - Extreme Learning Machine, Features Classification, Information Security, Phishing.","PeriodicalId":285811,"journal":{"name":"International Scientific Journal of Engineering and Management","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134634796","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":"INTERACTIVE ARTIFICIAL INTELLIGENCE","authors":"M. M","doi":"10.55041/isjem00281","DOIUrl":"https://doi.org/10.55041/isjem00281","url":null,"abstract":"Interactive AI is a field of artificial intelligence that allows computers to interact with humans in a natural and intuitive way. This technology uses machine learning algorithms to interpret and respond to voice, facial expressions, and other forms of input. Interactive AI has numerous applications in various fields, including natural language processing, computer vision, robotics, and virtual reality. It can be used to create more natural and intuitive user interfaces and to automate tedious tasks.However, the implementation of interactive AI also comes with challenges and opportunities. One of the primary challenges is the need for significant resources and expertise to develop and deploy this technology. In addition, there are concerns about privacy and security, as well as the potential for bias and discrimination in the algorithms. Despite these challenges, there are also significant opportunities associated with interactive AI. This technology has the potential to revolutionize the way we interact with computers, making them more user- friendly and efficient. It can also lead to the development of new products and services, and improve the overall user experience.To fully unlock the potential of interactive AI, further research is needed to address these challenges and ensure that the technology is developed in an ethical and responsible manner. This includes developing algorithms that are transparent and unbiased, ensuring that user data is protected and secure, and promoting diversity and inclusivity in the development process. Overall, interactive AI has the potential to transform numerous industries and enhance human-computer interactions, making it a field with great promise for the future International Scientific Journal of Engineering and Management ISSN: 2583-6129 Volume: 02 Issue: 04 | April – 2023 DOI: 10.55041/ISJEM00281 www.isjem.com An International Scholarly || Multidisciplinary || Open Access || Indexing in all major Database & Metadata © 2023, ISJEM (All Rights Reserved) | www.isjem.com | Page 2 KEYWORDS: Interactive AI, Artificial Intelligence, Machine Learning, Natural Language Processing, Computer Vision","PeriodicalId":285811,"journal":{"name":"International Scientific Journal of Engineering and Management","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133879351","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":"Applications and Potential of Artificial Intelligence in Structural Engineering","authors":"R. Pallavi, Y. H. Sudeep","doi":"10.55041/isjem00353","DOIUrl":"https://doi.org/10.55041/isjem00353","url":null,"abstract":"This review article discusses the various applications of artificial intelligence (AI) in structural engineering. The paper presents a comprehensive overview of the latest research in AI and its use in prediction, risk analysis, decision-making, resources optimization, classification and selection, construction, maintenance, and management of structural engineering problems. The review highlights the significant benefits of using AI, including improved accuracy, efficiency, and cost-effectiveness, compared to conventional methods. It also discusses the limitations and challenges associated with AI in structural engineering and future directions for research. The paper concludes that AI has enormous potential in structural engineering and will transform the field in the coming years. Key Words: artificial intelligence, structural engineering, prediction, resources optimization, construction, maintenance.","PeriodicalId":285811,"journal":{"name":"International Scientific Journal of Engineering and Management","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123823596","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":"POTATO DISEASE CLASSIFICATION USING GRADIENT BOOSTING","authors":"Dr.B.SELVA Priya, Dr.S.MARUTHU Perumal","doi":"10.55041/isjem00396","DOIUrl":"https://doi.org/10.55041/isjem00396","url":null,"abstract":"Potatoes are one of the widely consumed foods throughout the world. Usage of potatoes increases day by day. India is the second largest country in producing potatoes. It is good if we predict the disease earlier. By this wastage of potatoes decreases. Most of the potato disease can be predicted based on condition of leaf. Potato disease are of 2 types – Early blight and Late blight. Dataset is taken from Kaggle website which contains 2000 pictures of healthy and unhealthy potato’s leaf. The dataset contains three classes, two disease classes and one healthy potato class. Models are trained by different train-test splits to understand better and get accurate results. To test performance of the data Applied Accuracy Precision, Recall, F1 score and ROC/AUC curve are used. By using Gradient Boosting approach results are better even for mostly effected leaf.","PeriodicalId":285811,"journal":{"name":"International Scientific Journal of Engineering and Management","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131761900","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":"VEHICLE BREAKDOWN ASSISTANCE MANAGEMENT SYSTEM","authors":"Mrs.Suguna Angamuthu","doi":"10.55041/isjem00330","DOIUrl":"https://doi.org/10.55041/isjem00330","url":null,"abstract":"Daily travel has become a common occurrence for everyone. We utilise many sorts of vehicles for transportation. A machine is not supposed to last forever, and due to regular use and testing under varied situations, it is bound to experience malfunctions of some form. Several malfunctions can be fixed on the spot by the user. When a vehicle breaks down on the road, many individuals have trouble finding help. These issues served as the impetus for the creation of this project, which would assist those in need when their vehicle breaks down on a road. The goal is to create a Django application that will enable users to access nearby resources and request assistance through the application. Keywords :malfunctions, Django application, assistance","PeriodicalId":285811,"journal":{"name":"International Scientific Journal of Engineering and Management","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125785313","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":"RAILWAY TRACK MONITORING SYSTEM","authors":"Isjem Journal","doi":"10.55041/isjem00328","DOIUrl":"https://doi.org/10.55041/isjem00328","url":null,"abstract":"In India rail transport occupies a prominent position in providing the necessary transport infrastructure to sustain. needs of a rapidly growing economy. Today, India possesses the fourth largest railway network in the world. However, in terms of the reliability and safety parameters, we have not yet reached truly global standards. The main problem about a railway analysis is detection of cracks in the structure. If these deficiencies are not controlled at early stages, they might lead to a number of derailments resulting in a heavy loss of life and property. This system proposes a cost-effective solution to the problem of railway track crack detection utilizing IR (Slot sensor) assembly tracks the exact location of faulty track which then mended immediately so that many lives will be saved Key Words: Slot sensor, IR Transmitter and IR Receiver, light, lasers,","PeriodicalId":285811,"journal":{"name":"International Scientific Journal of Engineering and Management","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115722138","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":"STARTUPS AND THEIR CONTRIBUTION TOWARDS THE GROWTH OF INDIAN ECONOMY","authors":"Megha Kukreja, Dr. Priya Makhija","doi":"10.55041/isjem00407","DOIUrl":"https://doi.org/10.55041/isjem00407","url":null,"abstract":"With an estimated 26,000 startups, India is the third largest startup ecosystem in the world and has seen consolidated inflows of over $36 billion in the last three years, with 26 \"unicorns\" - startups valued at over $1 billion. The paper is intended to present an analysis of new theories regarding the startups and their contribution to the growth of the Indian economy and to promote new concepts. For ages, different startups have been a subject of much debate and deliberation and how it’s contribution towards the growth of the Indian economy evoked different responses from followers. This section centers on the main startup, The Hammerlock company with significant styles free enterprise, value-based and ground-breaking ideas, and their relationship to achieve the initiative results (additional work, viability, and fulfilment). We at hammerlock bring tomorrow's technology into your hands by providing you with infrared heat-resistant glassware, made of highly durable materials. Providing customer convenience while delivering a flexible style to the product, this unique container helps determine the temperature of the on-screen, integrated products (or in the app available to both Android and iOS users) while providing incredible durability with aesthetic and style. In recent years, due to factors such as massive funding, consolidation activities, evolving technologies, and a burgeoning domestic market, the Indian startup ecosystem has taken off and become a real success. Figures suggest that the number of startups will increase from 3,100 in 2014 to more than 11,500 in 2020 - this is certainly not a passing trend. It's a revolution. And it'll change the way markets work in India today. The complexity of managing the diversity of thought, process and people in India is well known. Startup Indians' plan is to thrive in an ocean of change in mindset and thinking. It gives momentum to the wings of the unstoppable Indian. The world is struggling to avoid another meltdown.","PeriodicalId":285811,"journal":{"name":"International Scientific Journal of Engineering and Management","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124352323","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":"ACCIDENT DETECTION SENSOR","authors":"Baisakhi D, Accamma Cg","doi":"10.55041/isjem00366","DOIUrl":"https://doi.org/10.55041/isjem00366","url":null,"abstract":"The accidents and the accident injuries in the world is increasing in our day today life so there must be good and efficfient control for the safety of human life violation of traffic rules drunk driving, careless driving are some causes of road accidents as we know we cannot stop the accidents but we can reduce the accidents by some precautionary measures. Road accidents are the most unwanted thing to happen to a road user, though they happen quite often. The most unfortunate thing is that we don’t learn from our mistakes on the road. Most of the road users are quite well aware of the general rules and safety measures while using roads but it is only the laxity on part of road users, which causes accidents and crashes.","PeriodicalId":285811,"journal":{"name":"International Scientific Journal of Engineering and Management","volume":"195 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116105796","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":"QUANTUM COMPUTING","authors":"S. R.","doi":"10.55041/isjem00323","DOIUrl":"https://doi.org/10.55041/isjem00323","url":null,"abstract":"Quantum computing is a revolutionary technology that has been the focus of much research due to its potential to revolutionize computing power. This paper will discuss the potential of quantum computing, its applications, and the challenges that remain. The paper will also discuss the current state of quantum computing, and potential future developments. Finally, this paper will explore the implications of quantum computing for the world of computing. KEYWORDS: Quantum computing, applications, challenges, current state.","PeriodicalId":285811,"journal":{"name":"International Scientific Journal of Engineering and Management","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116220332","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}