International Journal of Innovative Science and Modern Engineering最新文献

{"title":"Monitoring and Predicting Urban Growth Trends by Using Geo-Informatics Approaches, A Case Study of Hossana City, Southern Ethiopia","authors":"Yigezu Lenda Liyuneh, Dr. M. Kartic Kumar","doi":"10.35940/ijisme.f3772.12070724","DOIUrl":"https://doi.org/10.35940/ijisme.f3772.12070724","url":null,"abstract":"In recent decades, urban sprawl has been a prominent element of urban expansion, particularly in developing nations like Ethiopia. To deal with this problem, it's necessary to forecast auto-spreading orientation toward rural areas through time to avoid haphazard urban growth. Although there were many Models applied to investigate urban growth trends all over the world, just a few studies have used these methods to look at Hossana City's urban expansion. The study used the Cellular Automata (CA) model in concert with MOLUSCE to monitor and evaluate spatial changes in the city over the last two decades. For this, Landsat data (TM, ETM+, and OLI) from the years 2000, 2010, and 2021 were used. A 30m DEM was used to extract several thematic layers such as distance to stream, topography, slope, and aspect. Distance to build up land and road networks were derived from classified LULC maps and OSM respectively. For comparison and assessment of the city's urbanization extent, Google Earth images were used. For accuracy testing, topo sheets were employed. ENVI software was used to preprocess satellite data and related auxiliary data. Land use and land cover maps were created using the maximum likelihood algorithm of supervised image classification. ArcGIS 10.8 was used to classify land use and land cover, as well as to evaluate accuracy. Overall accuracy and kappa coefficient results were higher than the minimum acceptable levels. The cumulative rate of urban growth in Hossana city has resulted in significant change during the last two decades (2000 to 2021). This reveals that there have been significant changes in several LULC categories, including bare land, agricultural land, water bodies, and green areas, which have declined by (-6.73 percent), (-18.69 percent), (-0.67), and (2.51) percent, respectively. Built-up areas and vegetation, on the other hand, increased by 22.88 percent and 5.73 percent, respectively. Projection of the future urban growth pattern processed through QGIS by using the CA model. As a result of the findings, significant changes in various LULCs are likely to occur between the present study period (2021) and the prediction year (2031). Thus agricultural land will reduce by 1.55 %, while bare land will shrink by 0.5%, but built-up areas and green areas will grow by 3.09 % and 0.91 %, respectively. Vegetation coverage would be reduced by 3.0%, while water bodies would be reduced by 0.17 %. Thus more change was made towards agricultural land and vegetation. Therefore Hossana city's urbanization rate is greatly expanding on agricultural land. The project output indicated that the increase in built-up of the town brings about high pressure on agricultural land. In general, Geoinformatics techniques enable us for sustainable management of urban sprawl and monitoring of urban expansion and future development.","PeriodicalId":356562,"journal":{"name":"International Journal of Innovative Science and Modern Engineering","volume":"2 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141795632","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":"3D Printing and Additive Manufacturing Technology - The Dawn of a New Era!","authors":"Brigadier Dr. Priya Jeyaraj, Lt Gen, Dr. Tsa Narayanan AVSM (Retd)","doi":"10.35940/ijisme.c1316.12030324","DOIUrl":"https://doi.org/10.35940/ijisme.c1316.12030324","url":null,"abstract":"This Scientific Paper explores the intricate landscape of the fast emerging and rapidly developing 3D Printing, also known as Digital Fabrication technology, spanning and providing an overview of its initial inception, innovation, historical evolution, present day applications across industries, and the various social and environmental implications of its use. This Study highlights the strengths and limitations of the diverse 3D printing technologies and Materials Science, emphasizing their significance in industrial and consumer contexts. The examination of materials underscores their crucial role in determining the quality and functionality of printed objects, with a focus on emerging materials driving innovation. The Study aims to build upon the rich tapestry of historical developments, fundamental principles, and existing research, providing a comprehensive understanding of diverse and manifold 3D printing technologies, analyzing their transformative impact on industries. Furthermore, it carries out an in-depth exploration of challenges, potential solutions, and future directions, aiming to provide insights into the dynamic and versatile nature of 3D printing and Additive Manufacturing technology.","PeriodicalId":356562,"journal":{"name":"International Journal of Innovative Science and Modern Engineering","volume":"58 33","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140362469","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":"Advancements in GitHub Automation and Workflow: A Comprehensive Exploration","authors":"Anurag Pindoriya, Janki Velani","doi":"10.35940/ijisme.b1311.12020224","DOIUrl":"https://doi.org/10.35940/ijisme.b1311.12020224","url":null,"abstract":"The landscape of software development has been significantly transformed by the integration of automation and streamlined workflows, with GitHub emerging as a pivotal platform in this evolution. This research paper delves into the multifaceted realm of GitHub automation and workflow, investigating key aspects that contribute to enhanced efficiency, collaboration, and code quality in modern development practices. The paper begins by exploring the utilization of GitHub Actions for establishing robust Continuous Integration and Continuous Deployment (CI/CD) pipelines. Best practices for designing reliable workflows are discussed, along with insights into customizing workflows to suit diverse project requirements through the use of custom actions and templates. The automation of code reviews is scrutinized, with a focus on tools and practices that facilitate objective and efficient evaluation of code quality. The paper also investigates GitHub's role in security automation, covering strategies for vulnerability detection and integration of security checks into the development lifecycle. Collaborative workflows on GitHub, including branch management, pull requests, and code reviews, are explored as pivotal components fostering teamwork. The integration of GitHub into DevOps practices is analyzed, showcasing its synergy with popular DevOps tools and platforms. As a forward-looking endeavor, the research paper concludes by examining emerging trends and technologies in GitHub automation. By encapsulating a comprehensive overview of the current state and future trajectories of GitHub automation and workflow, this paper aims to contribute to the collective understanding of best practices, challenges, and opportunities in contemporary software development.","PeriodicalId":356562,"journal":{"name":"International Journal of Innovative Science and Modern Engineering","volume":"55 15","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140419824","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":"Robustness Evaluation of LSTM-based Deep Learning Models for Bitcoin Price Prediction in the Presence of Random Disturbances","authors":"V. Kanaparthi","doi":"10.35940/ijisme.b1313.12020224","DOIUrl":"https://doi.org/10.35940/ijisme.b1313.12020224","url":null,"abstract":"As Deep Learning (DL) continues to be widely adopted, the growing field of study on the robustness of DL approaches in finance is gaining steam. This paper investigates the robustness of a Recurrent Neural Network (RNN) with Long Short-Term Memory (LSTM) intended for daily closing price predictions of Bitcoin (BTC). The research entails reproducing and adjusting an LSTM design from previous research, with an emphasis on evaluating the robustness of the network. The network is trained using data that has been disturbed by Gaussian noise to assess robustness, and the effect on predictions made outside of the sample is examined. To examine the impact of adding Gaussian noise layers and noisy dense layers on training accuracy and out-of-sample predictions, further robustness tests are conducted. The results show that the LSTM network has remarkable robustness to random disturbances in the data. Nevertheless, the Root Mean Square Error (RMSE) of the prediction increases with the addition of Gaussian noise and noisy dense layers. When random noise is present in the training data, the Autoregressive Integrated Moving Average (ARIMA) model is more vulnerable to it than the LSTM, according to the robustness of the two models. These findings highlight how robustness DL techniques are overall when compared to more conventional linear methods. However, because these models are black-box, the study highlights the significance of comprehensive testing. Although the robustness of the LSTM is impressive, it is important to understand that each network may behave differently depending on the circumstances.","PeriodicalId":356562,"journal":{"name":"International Journal of Innovative Science and Modern Engineering","volume":"41 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140419321","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":"Evaluating Financial Risk in the Transition from EONIA to ESTER: A TimeGAN Approach with Enhanced VaR Estimations","authors":"V. Kanaparthi","doi":"10.35940/ijisme.b1312.12020224","DOIUrl":"https://doi.org/10.35940/ijisme.b1312.12020224","url":null,"abstract":"This study investigates the evaluation of multivariate time series data using a Generative Adversarial Network (GAN). Calculating the Value at Risk (VaR) for the Euro Overnight Index Average (EONIA) over different time periods and evaluating the financial risk consequences of the EONIA to Euro Short-Term Rate (ESTER) transition are the main objectives. Through the use of a particular GAN called TimeGAN, which focuses on macro-finance temporal and latent representation, the study aims to predict short-rate risk for EONIA. When estimating lower VaR and the 1-day higher VaR for EONIA, the TimeGAN model performs poorly. However, it performs well when estimating upper VaR for 10-day and 20-day periods. The variation of TimeGAN with PLS+FM, which uses Positive Label Smoothing and Feature Matching shows the upper and lower VaR for EONIA over 10 and 20-day periods are excellently estimated by this enhanced model. Simulations for the 20-day EONIA show less variation between TimeGAN variations than a one-factor Vasicek model, even with the proper VaR estimations. This study evaluates the proposed transition mapping from ESTER to EONIA by the European Central Bank (ECB), calculating an ESTER+8.5bps shift with the TimeGAN with PLS+FM. The results do not refute the validity of the ECB's proposed EONIA-ESTER mapping. Additionally, the TimeGAN with PLS+FM accurately predicts VaR for 10 and 20-day periods for ESTER using the EONIA-ESTER mapping. Whereas the one-factor Vasicek model finds it difficult to estimate higher VaR for ESTER over the same time frames.","PeriodicalId":356562,"journal":{"name":"International Journal of Innovative Science and Modern Engineering","volume":"83 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140423618","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":"Silver Nanoparticle Synthesis using Ocimum Santum","authors":"Dr. Vadiraj B Tangod, Dr. Namrata M","doi":"10.35940/ijisme.f9560.12010124","DOIUrl":"https://doi.org/10.35940/ijisme.f9560.12010124","url":null,"abstract":"Silver nanoparticles are synthesised using green nanotechnology and environmentally friendly chemistry, with Ocimum Santum (Krishna Tulasi) leaf extract serving as a reducing and capping agent. This technique enables us to eliminate the usage of harmful reducing reagents while maintaining eco-friendly, cost-effective, and capable large-scale production due to the plentiful supply of greener products. This would accelerate science and technology forward at an alarming rate in the production of agricultural and industrial products, superior and durable materials, novel therapies for chronic and hated diseases like cancer, and plenty of additional industrial applications. The stability of synthesised molecules is examined using several components, such as temperature, time, and aggregation. The characterization was further examined using UV-Visible Spectroscopy, Scanning Electron Microscopy, and Transmission Electron Microscopy.","PeriodicalId":356562,"journal":{"name":"International Journal of Innovative Science and Modern Engineering","volume":"78 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140485398","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 Job Portal using Django","authors":"Mangesh Kumar Yadav, Abhinandan Singh","doi":"10.35940/ijisme.k1307.12010124","DOIUrl":"https://doi.org/10.35940/ijisme.k1307.12010124","url":null,"abstract":"The main purpose of the job portal of the Django project is to manage job information, search, post jobs, register with employers, and find jobs. It manages all information regarding employers, interviews, job searches, and workplaces. The project was created with the administration closed, so it was easier for administrators to control it. The startup aims to create the necessary software to reduce the hassle of negotiations with employers, cover letters, interviews, and career guidance. It tracks all information regarding job postings, job listings, and job searches this article, the author presents an online recruitment system that allows employers to post recruitment advertisements, where job seekers come to apply for Volunteers while looking for a job. The event portal provides access to key events tailored to business needs. Online Event Portal is a website designed specifically for job searches. Administrators can access existing roles. Users need to register themselves and then log in. These jobs will be displayed to customers based on their search terms.","PeriodicalId":356562,"journal":{"name":"International Journal of Innovative Science and Modern Engineering","volume":"11 51","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139591618","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":"Role of Artificial Intelligence in Enhancing Healthcare Delivery","authors":"Brigadier Dr. Priya Jeyaraj, Lt Gen Tsa Narayanan AVSM","doi":"10.35940/ijisme.a1310.12111223","DOIUrl":"https://doi.org/10.35940/ijisme.a1310.12111223","url":null,"abstract":"The integration of Artificial Intelligence (AI) into the healthcare industry has ushered in a new era of innovation and transformation. Artificial Intelligence (AI) is rapidly shaping the future of healthcare. Its integration into various healthcare domains, from medical imaging and diagnostics to drug discovery, virtual health assistants, and remote patient monitoring, has demonstrated transformative potential in improving patient care and healthcare delivery. AI-powered medical imaging algorithms have revolutionized diagnostics, aiding in early disease detection and treatment planning. Drug discovery and development have benefited from AI-driven predictive models, leading to faster identification of drug candidates and personalized treatments. Virtual health assistants and chatbots have enhanced patient engagement and access to healthcare services, while remote patient monitoring has enabled continuous health tracking and proactive disease management, reducing hospitalizations and improving patient outcomes. Moreover, AI's predictive analytics and risk stratification have paved the way for personalized preventive strategies and population health management, contributing to better healthcare outcomes and disease prevention. This paper aims to explore the current state of AI adoption in healthcare and investigate the various AI-driven applications that are transforming the industry. By analysing case studies and success stories, it seeks to highlight the concrete impact of AI on patient care and healthcare systems, and examine how it can improve patient care delivery and enhance medical logistics. Furthermore, this research will delve into the challenges and ethical dilemmas surrounding AI in healthcare and provide insights into potential solutions to overcome these obstacles.","PeriodicalId":356562,"journal":{"name":"International Journal of Innovative Science and Modern Engineering","volume":" 96","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139139086","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":"Digital Twins and Its Security Issues and Implications","authors":"Nikhil C","doi":"10.35940/ijisme.f4228.11111123","DOIUrl":"https://doi.org/10.35940/ijisme.f4228.11111123","url":null,"abstract":"A digital twin is a digital or virtual copy of physical assets or products. It has the virtual and real world by collecting real-time data from the sensors which are installed in the devices. The collected data is either locally decentralized or centrally stored in cloud. Then the data is evaluated and simulated in virtual copy of the assets. After revising the information from stimulation the parameters are applied to real assets and we can predict current and future conditions in both design and operational environment. Also these are the next big thing in fourth industrial revolution for the development of new products and process. Because of vast amount of data used and the risk this poses to sensitive system data. To overcome these. The key enabling technology for digital twins data analytics and IoT must follow the updated security policies, and data sharing based on Distributed Ledger Technology can help to overcome the challenges in sharing data.","PeriodicalId":356562,"journal":{"name":"International Journal of Innovative Science and Modern Engineering","volume":"42 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139206735","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":"IoT-Internet of Things in Health Care ECG-Electrocardiogram & Medical kit by Connecting Doctor","authors":"B. V. Reddy, Rachit Garg, Vivek. V","doi":"10.35940/ijisme.b7788.11111123","DOIUrl":"https://doi.org/10.35940/ijisme.b7788.11111123","url":null,"abstract":"Nowadays present is the beginning of the future with new computing technology in IoT-internet of things consists of a sort of “universal global neural networks” in the cloud computing internet with connecting various devices and machines interacting with help of it we are going to do research in the medical field with help of “artificial intelligence”-AI check’s automatically kept patients verified with help of sharp sensors and medical gadget blend. I have created IoT-architecture customized for health applications to improve the lifestyle of patients and to utilize the new various technology in different areas in every living organism. In this field two fields of easy monitoring with help of “ECG and medical-kit” any change in easy identification diseases and given treatment immediately on spot. While treatment will be given anywhere in the world located GPS-tracking and alert given to doctors & families etc. after treatment facilities given progress as per doctor consultations.","PeriodicalId":356562,"journal":{"name":"International Journal of Innovative Science and Modern Engineering","volume":"51 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139199474","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}