International Journal of Scientific Research in Computer Science, Engineering and Information Technology最新文献_第2页

Improving the Integrity of Pharmaceutical Serialization with Enterprise Technologies 利用企业技术提高药品序列化的完整性

International Journal of Scientific Research in Computer Science, Engineering and Information Technology Pub Date : 2024-06-12 DOI: 10.32628/cseit2410338

Hariprasad Mandava

{"title":"Improving the Integrity of Pharmaceutical Serialization with Enterprise Technologies","authors":"Hariprasad Mandava","doi":"10.32628/cseit2410338","DOIUrl":"https://doi.org/10.32628/cseit2410338","url":null,"abstract":"Medical devices and pharmaceutical drugs undergo packaging procedures to ensure their stability and integrity remain intact throughout post-production shipping and storage, prior to their clinical utilization. Throughout delivery and storage, the packaging may interact either directly or indirectly with the drug product or medical device, potentially leading to chemical reactions between the two. The role of packaging is paramount in ensuring success, safeguarding the product, and facilitating its sale. Similar to other items found in supermarkets, prescription pharmaceuticals necessitate packaging that addresses various needs, including security, promptness, safety, product identity, quality assurance, patient well-being, and product excellence. Packaging represents both a scientific and artistic endeavour, involving the consideration of numerous factors, beginning with the fundamental design and technology utilized to package the product securely, while also ensuring its protection, presentation, and compliance with manufacturing standards during transportation, storage, and consumption. To uphold the physiochemical, biological, and chemical stability of drugs, packaging professionals design containers capable of withstanding the pressures encountered during supply and shipping processes. Enhancements in the field of prescription drug development have long emphasized the importance of packaging expertise. This serialization process is crucial for bolstering drug security within the supply chain while maintaining drug quality, thereby minimizing the risk of counterfeit drugs infiltrating the distribution network.","PeriodicalId":313456,"journal":{"name":"International Journal of Scientific Research in Computer Science, Engineering and Information Technology","volume":"108 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141352379","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

An Efficient Blockchain Enabled Score Voting with Face Recognition 基于区块链的高效人脸识别计分投票系统

International Journal of Scientific Research in Computer Science, Engineering and Information Technology Pub Date : 2024-06-10 DOI: 10.32628/cseit24103130

Madhubal A. M

{"title":"An Efficient Blockchain Enabled Score Voting with Face Recognition","authors":"Madhubal A. M","doi":"10.32628/cseit24103130","DOIUrl":"https://doi.org/10.32628/cseit24103130","url":null,"abstract":"The security considerations of the votes are based on blockchain technology using cryptographic hashes to secure end-to-end verification. To this end, a successful vote cast is considered as a transaction within the blockchain of the voting application. Therefore, a vote cast is added as a new block (after successful mining) in the blockchain as well as being recorded in data tables at the backend of the database. The system ensures only one-person, one-vote (democracy) property of voting systems. This is achieved by using the voter’s unique face image, which is matched at the beginning of every voting attempt to prevent double voting. The Face Recognition is the study of physical or behavioral characteristics of human being used for the identification of person. So implement real time authentication system using face biometrics for authorized the person for online voting system. This work claims to score voting method and data management challenges in blockchain and provides an improved manifestation of the electronic voting process. Score-based voting methods, also known as range voting or rated voting, are electoral systems where voters are allowed to express their preferences for candidates or options by assigning numerical scores to them. Unlike traditional voting methods where voters choose a single candidate, score-based systems enable voters to provide a more nuanced and detailed assessment of their preferences. It is important here to note that cryptographic hash for a voter is the unique hash of voter by which voter is known in the blockchain. This property facilitates achieving verifiability of the overall voting process. Furthermore, this id is hidden and no one can view it even a system operator cannot view this hash therefore achieving privacy of individual voters.","PeriodicalId":313456,"journal":{"name":"International Journal of Scientific Research in Computer Science, Engineering and Information Technology","volume":"120 40","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141362503","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

Age and Gender voice Recognition using Deep learning 利用深度学习识别年龄和性别语音

International Journal of Scientific Research in Computer Science, Engineering and Information Technology Pub Date : 2024-06-06 DOI: 10.32628/cseit2410336

Santhiya S, N. Nanda Kumar

引用次数: 0

Towards Open-Source Cloud Adoption : Exploring the Determinants 迈向开源云的采用：探索决定因素

International Journal of Scientific Research in Computer Science, Engineering and Information Technology Pub Date : 2024-06-05 DOI: 10.32628/cseit24103120

Chirchir P. K, Muhambe T. M, Obare E. O

{"title":"Towards Open-Source Cloud Adoption : Exploring the Determinants","authors":"Chirchir P. K, Muhambe T. M, Obare E. O","doi":"10.32628/cseit24103120","DOIUrl":"https://doi.org/10.32628/cseit24103120","url":null,"abstract":"The trends in cloud computing development have become fundamental building blocks to many business information system models and innovations, the architects are designing cloud systems to be as effective and beneficial as possible. In this paradigm, open-source cloud platforms are part of the design philosophy that drives innovation in cloud services. The adoption of open-source cloud has become pervasive in the modern enterprise; this has been accelerated by perceived benefits of openness. The power in the community of developers and openness fosters development of hardened, secure and reliable solutions. These features enable a collaborative source code, modification and customization geared towards innovation with positive impact on the design, aligning perfectly with the dynamic nature of open-source cloud solutions. However, the slow adoption rate in the modern enterprises has been attributed to a lack of understanding of open-source cloud adoption. This study explores the determinants of open-source cloud adoption in the context of higher learning institutions. A deductive thematic analysis technique was utilized in the study.","PeriodicalId":313456,"journal":{"name":"International Journal of Scientific Research in Computer Science, Engineering and Information Technology","volume":"7 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141382786","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

Bird Sound Classification : Leveraging Deep Learning for Species Identification 鸟类声音分类：利用深度学习进行物种识别

International Journal of Scientific Research in Computer Science, Engineering and Information Technology Pub Date : 2024-06-05 DOI: 10.32628/cseit24103127

Ardon Kotey, Allan Almeida, Nihal Gupta, Dr. Vinaya Sawant

{"title":"Bird Sound Classification : Leveraging Deep Learning for Species Identification","authors":"Ardon Kotey, Allan Almeida, Nihal Gupta, Dr. Vinaya Sawant","doi":"10.32628/cseit24103127","DOIUrl":"https://doi.org/10.32628/cseit24103127","url":null,"abstract":"Birds are meaningful to a wide audience including the public. They live in almost every type of environment and in almost every niche (place or role) within those environments. The monitoring of species diversity and migration is important for almost all conservation efforts. The analysis of long-term audio data is vital to support those efforts but relies on complex algorithms that need to adapt to changing environmental conditions. Convolutional neural networks (CNNs) are powerful toolkits of machine learning that have proven efficient in the field of image processing and sound recognition. In this paper, a CNN system classifying bird sounds is presented and tested through different configurations and hyperparameters. The MobileNet pre-trained CNN model is finetuned using a dataset acquired from the Xeno-canto bird song sharing portal, which provides a large collection of labeled and categorized recordings. Spectrograms generated from the downloaded data represent the input of the neural network. The attached experiments compare various configurations including the number of classes (bird species) and the color scheme of the spectrograms. Results suggest that choosing a color map in line with the images the network has been pre-trained with provides a measurable advantage. The presented system is viable only for a low number of classes.","PeriodicalId":313456,"journal":{"name":"International Journal of Scientific Research in Computer Science, Engineering and Information Technology","volume":"73 S105","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141382719","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

Decoding Stocks Patterns Using LSTM 使用 LSTM 解码股票模式

International Journal of Scientific Research in Computer Science, Engineering and Information Technology Pub Date : 2024-05-20 DOI: 10.32628/cseit2410328

Dr. Madhur Jain, Shilpi Jain, Ankit Gupta

引用次数: 0

QML Powered Interface for Diffusion Imaging 用于扩散成像的 QML Powered 接口

International Journal of Scientific Research in Computer Science, Engineering and Information Technology Pub Date : 2024-05-20 DOI: 10.32628/cseit2410329

Rupali Jadhav, Ajay Jadhav, Vinay Ghate, Gitesh Mahadik, Praneeth Shetty

{"title":"QML Powered Interface for Diffusion Imaging","authors":"Rupali Jadhav, Ajay Jadhav, Vinay Ghate, Gitesh Mahadik, Praneeth Shetty","doi":"10.32628/cseit2410329","DOIUrl":"https://doi.org/10.32628/cseit2410329","url":null,"abstract":"In the field of medical imaging, Diffusion Imaging (DI) has emerged as a powerful technique for investigating the microstructural properties of biological tissues. However, the complexity of DI analysis software often poses a significant barrier to its widespread adoption, as it typically requires proficiency in Python programming and command-line interactions. This technical barrier can limit the accessibility of DI technology to individuals without extensive technical expertise, hindering its potential impact in various medical and research applications To address this challenge, we propose a novel solution that leverages the capabilities of Query Markup Language (QML) to develop a user-friendly interface for Diffusion Imaging. By combining the power of Python technology, which forms the core of DI analysis, with the intuitive interface design capabilities of QML, our project aims to democratize DI analysis and make it accessible to a broader audience, including medical professionals, researchers, and students. Our research focuses on bridging the gap between the technical complexities of DI analysis and user accessibility. The proposed QML-powered interface will feature modern UI elements with fluid animations, ensuring a seamless and engaging user experience. Crucially, it will abstract away the intricacies of Python programming and command-line interactions, allowing users to concentrate on the analysis and interpretation of DI data without the burden of technical hurdles.","PeriodicalId":313456,"journal":{"name":"International Journal of Scientific Research in Computer Science, Engineering and Information Technology","volume":"9 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141119689","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

Utilizing Real – Time Face Recognition Based Bio-Metric System for Online Transaction 利用基于实时人脸识别的生物计量系统进行在线交易

International Journal of Scientific Research in Computer Science, Engineering and Information Technology Pub Date : 2024-05-20 DOI: 10.32628/cseit24103108

A. Dhivya, K. Aashika, S. Pavitha, G. Varshini

{"title":"Utilizing Real – Time Face Recognition Based Bio-Metric System for Online Transaction","authors":"A. Dhivya, K. Aashika, S. Pavitha, G. Varshini","doi":"10.32628/cseit24103108","DOIUrl":"https://doi.org/10.32628/cseit24103108","url":null,"abstract":"A crucial component of contemporary banking is now online banking. Due to the present password- based authentication paradigm’s inadequacies in terms of efficiency and robust, as well as their suspectibility to automated attacks, several attempts are successful in gaining access to social network accounts. The easiest solution is to add more identifying features, like one-time PIN numbers that are created by the user’s own device(like a smart phone) or sent to them via SMS to the single factor(Password-based) authentication procedure. With the help of this technology, client’s identities may be instantly and conveniently verified. The goal of this project is to create an online banking system that authenticates customer’s using real-time facial recognition technology. The system will be made to offer a safe and convenient user interface that enables users to perform financial operation like bill payment, money transfers, and balance queries. A facial recognition algorithm, such Grassmann learning, which can record and evaluate customer’s facial traits in real time, will be included into the system. To confirm customer’s identification, the algorithm will match the customer’s facial traits with those in the bank’s database. The technology would give users a safe and convenient interface to conduct real-time banking transactions. Notifications about banking amount transactions are sent to the user in this suggested netbanking application.","PeriodicalId":313456,"journal":{"name":"International Journal of Scientific Research in Computer Science, Engineering and Information Technology","volume":"9 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141120425","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

An Effective Optimization in Education System using Decision Support Systems 利用决策支持系统有效优化教育系统

International Journal of Scientific Research in Computer Science, Engineering and Information Technology Pub Date : 2024-05-20 DOI: 10.32628/cseit24103111

Abhijeet Joshi, Dr. A. S. Kapse

引用次数: 0

Arduino Based Smart Irrigation Using Advanced Robot 使用先进机器人进行基于 Arduino 的智能灌溉

International Journal of Scientific Research in Computer Science, Engineering and Information Technology Pub Date : 2024-05-20 DOI: 10.32628/cseit24103110

Dr. R. Gopi, A. Srimathi, S. S. S. Sudaroli, R. Gayathri Devi, R. Jayashree

{"title":"Arduino Based Smart Irrigation Using Advanced Robot","authors":"Dr. R. Gopi, A. Srimathi, S. S. S. Sudaroli, R. Gayathri Devi, R. Jayashree","doi":"10.32628/cseit24103110","DOIUrl":"https://doi.org/10.32628/cseit24103110","url":null,"abstract":"Global food security is largely dependent on the agriculture sector, and technological developments are becoming necessary to meet the growing need for efficient and sustainable farming methods. This paper presents a revolutionary Agriculture Robot that is intended to improve overall crop productivity and resource usage by streamlining the procedures of water spraying and seed sowing. The Agriculture Robot integrates state-of-the- art technologies, including precision navigation systems, real-time sensors, and automation mechanisms. The robot is equipped with a precise seed dispensing system that ensures optimal seed placement, spacing, and depth, promoting uniform crop germination. Additionally, the robot features an efficient water spraying mechanism, utilizing advanced sensors to assess soil moisture levels and crop health, enabling targeted and judicious irrigation practices. The robot employs advanced algorithms and sensors to precisely sow seeds with optimal spacing and depth, ensuring uniform germination and maximizing crop yield. Real-time soil moisture sensors and crop health monitoring enable the robot to make data-driven decisions for targeted water spraying. This minimizes water wastage while maintaining optimal moisture levels for crop growth. Farmers can remotely monitor and control the Agriculture Robot through a user- friendly interface. This feature enhances flexibility and allows farmers to adapt to changing conditions promptly. By integrating cutting-edge technologies, the Agriculture Robot presented in this paper addresses the challenges of labour- intensive and resource-inefficient traditional farming methods. The implementation of this robot has the potential to revolutionize agriculture by increasing productivity, reducing environmental impact, and contributing to sustainable and precision farming practices.","PeriodicalId":313456,"journal":{"name":"International Journal of Scientific Research in Computer Science, Engineering and Information Technology","volume":"58 17","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141121811","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