International academic journal of innovative research最新文献

{"title":"Stationery Management System","authors":"Dr.N. Baggyalakshmi, J. Kanishka, Dr.R. Revathi","doi":"10.9756/iajir/v11i1/iajir1105","DOIUrl":"https://doi.org/10.9756/iajir/v11i1/iajir1105","url":null,"abstract":"The Stationery Management System is a comprehensive software solution designed to streamline and automate the processes involved in managing stationery inventory for organizations. This system aims to improve efficiency, reduce costs, and enhance overall productivity by providing a centralized platform to track, control, and replenish stationery supplies. The system offers a user-friendly interface that allows authorized personnel, such as office administrators or procurement managers, to manage all aspects of stationery inventory effectively. It provides the following key features: Inventory Management: The system maintains a comprehensive database of stationery items, including details such as item name, description, quantity, and unit price. It allows users to easily add new items, update existing ones, and track stock levels in real-time. Purchase and Requisition: Users can generate purchase orders or requisitions directly from the system, ensuring a streamlined procurement process. The system can also integrate with external vendors or suppliers to automate order placement and tracking. Stock Monitoring: The system provides real-time visibility into the current stock levels of stationery items. Users can set up automated alerts to notify them when stock levels fall below a predefined threshold, ensuring timely reordering and preventing stock outs. Issue and Return Tracking: The system facilitates the tracking of stationery items issued to employees or departments. It enables users to record item issuances, monitor their usage, and manage returns efficiently. This feature helps prevent misuse and ensures accountability. Reporting and Analytics: The system generates comprehensive reports and analytics, offering valuable insights into stationery usage, expenditure, and inventory trends. These reports assist in making data-driven decisions, optimizing procurement processes, and identifying cost-saving opportunities. Integration and Accessibility: The system can integrate with other existing systems within the organization, such as accounting or Enterprise Resource Planning (ERP) software, to ensure seamless data flow and minimize manual data entry. It also provides accessibility across multiple devices, enabling users to manage stationery inventory remotely. Overall, the Stationery Management System provides organizations with a centralized and efficient solution to manage their stationery inventory effectively. By automating key processes and providing real-time visibility, the system optimizes procurement, reduces waste, and enhances productivity, leading to cost savings and improved operational efficiency.","PeriodicalId":479892,"journal":{"name":"International academic journal of innovative research","volume":"112 19","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140422250","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":"Smart Billing Software","authors":"Dr.N. Baggyalakshmi, M.S. Harrsini, Dr.R. Revathi","doi":"10.9756/iajir/v11i1/iajir1106","DOIUrl":"https://doi.org/10.9756/iajir/v11i1/iajir1106","url":null,"abstract":"The set of solutions offered by the Business Operation Support System revolves around Smart Billing Software. Because billing is the nerve centre of the company, it oversees all the important data, including product catalogues, customers, rates, taxes, financial accounting, invoices, payments, debit and credit notes, dual ledgers, support for multiple currencies, and more. You can manage any business operation involving metered charges, recurring charges, event-based charges, and ad-hoc charges with the help of Smart Billing Software's engine, which offers unparalleled flexibility in setting up any kind of product, product packages, user-defined rating structures, tax rules, and more. With Smart Billing Software, any service model and offering can be easily integrated into a single platform. It is compatible with both pre-paid and post-paid payment systems. Due to its open API foundation, Smart Billing Software is highly compatible with other BOSS products, allowing for the construction of comprehensive solutions. Smart Billing is a pre-integrated component of Xsinfosol Solutions and is one of the BOSS solutions offered by Xsinfosol.","PeriodicalId":479892,"journal":{"name":"International academic journal of innovative research","volume":"1 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140419895","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":"HR Onboarding Kit","authors":"Dr.N. Baggyalakshmi, R. Dhanya, Dr.R. Revathi","doi":"10.9756/iajir/v11i1/iajir1104","DOIUrl":"https://doi.org/10.9756/iajir/v11i1/iajir1104","url":null,"abstract":"Users can automate tasks and processes within their Office 365 workflow with Microsoft Flow, now called Power Automate. There are many of organisations that rely on the many programmes that are part of Microsoft Office 365. Common Microsoft Office applications include Word, Excel, PowerPoint, Outlook, OneNote, and OneDrive. Other Microsoft products serve their purpose, but apps typically don't talk to each other and operate independently. With Power Automate/Microsoft Flow, these apps can communicate with one another and respond to events triggered by other programmes. With Microsoft Power Automate, you can automate a wide variety of processes and tasks by integrating various apps and platforms. Whether in the cloud or on-premises, users are able to integrate Microsoft Office 365 apps with one another and a vast library of other programmes. Anyone with even a rudimentary grasp of Office 365 may build simple automations to streamline mundane tasks for their company. Power BI and Microsoft Power Apps allow advanced users to build their own unique business processes. Users may easily design the interactivity of apps using workflows, which are also called flows.","PeriodicalId":479892,"journal":{"name":"International academic journal of innovative research","volume":"265 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140417588","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":"Managing and Billing Software for Hypermarket","authors":"Baggyalakshmi N., Jokani N.R., Revathi R.","doi":"10.9756/iajir/v11i1/iajir1103","DOIUrl":"https://doi.org/10.9756/iajir/v11i1/iajir1103","url":null,"abstract":"It previews the whole system design while in the free demo session and clear your queries by experiencing Optech’s digital dashboard. In the navigation system, we optimize the UI to be straightforward and comprehend for all sets of people so the employees grasp this entire operation. The Optech software has been developed with VB.net and MY SQL Server. The system is efficient in generating reports, which will help in the maintenance of the hypermarket easily. This Optech software can store a lot of records in the database. It’s a user-friendly software, which can be used for service, sales and report. It has an unlimited storage and application can be used in both online and offline. Reports for billing can be generated by data wise or pricewise.","PeriodicalId":479892,"journal":{"name":"International academic journal of innovative research","volume":"40 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139794452","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 Prediction","authors":"Baggyalakshmi N., Jayasri K., Revathi R.","doi":"10.9756/iajir/v11i1/iajir1102","DOIUrl":"https://doi.org/10.9756/iajir/v11i1/iajir1102","url":null,"abstract":"A global emergency has emerged in the form of the COVID-19 pandemic. If governments around the world are serious about lowering the impact of this worldwide epidemic, they must devote significant resources to studying this disease. This research looks into the disease's outbreak, trains datasets for the Indian region, and tests the number of cases over the following three weeks. Based on data acquired from the official portal of the Government of India throughout the crutial time period, we have utilised various machine learning algorithms, including a logistic regression model, to make predictions. When testing the models' efficacy, several regression models were used. In the three-week period of test data, the expected instances are anticipated to be approximately 175K--200K, which closely matches the actual figures. Both the government and medical professionals can use this information to inform their future plans. The goal of data science is to discover new patterns and relationships in large datasets by applying statistical and computational methods. Cleansing and preparing data, visualising data, statistical modelling, machine learning, and many other tasks are all part of it. Discovering trends and patterns in data, creating forecasts, and providing decision-making support are all possible with the use of these methods. Data types that they might encounter include both structured (like dates and numbers in a spreadsheet) and unstructured (like text, photos, or audio). Many different sectors make use of data science, including banking, medicine, retail, and many more.","PeriodicalId":479892,"journal":{"name":"International academic journal of innovative research","volume":"72 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139794590","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":"Managing and Billing Software for Hypermarket","authors":"Baggyalakshmi N., Jokani N.R., Revathi R.","doi":"10.9756/iajir/v11i1/iajir1103","DOIUrl":"https://doi.org/10.9756/iajir/v11i1/iajir1103","url":null,"abstract":"It previews the whole system design while in the free demo session and clear your queries by experiencing Optech’s digital dashboard. In the navigation system, we optimize the UI to be straightforward and comprehend for all sets of people so the employees grasp this entire operation. The Optech software has been developed with VB.net and MY SQL Server. The system is efficient in generating reports, which will help in the maintenance of the hypermarket easily. This Optech software can store a lot of records in the database. It’s a user-friendly software, which can be used for service, sales and report. It has an unlimited storage and application can be used in both online and offline. Reports for billing can be generated by data wise or pricewise.","PeriodicalId":479892,"journal":{"name":"International academic journal of innovative research","volume":"18 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139854474","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 Prediction","authors":"Baggyalakshmi N., Jayasri K., Revathi R.","doi":"10.9756/iajir/v11i1/iajir1102","DOIUrl":"https://doi.org/10.9756/iajir/v11i1/iajir1102","url":null,"abstract":"A global emergency has emerged in the form of the COVID-19 pandemic. If governments around the world are serious about lowering the impact of this worldwide epidemic, they must devote significant resources to studying this disease. This research looks into the disease's outbreak, trains datasets for the Indian region, and tests the number of cases over the following three weeks. Based on data acquired from the official portal of the Government of India throughout the crutial time period, we have utilised various machine learning algorithms, including a logistic regression model, to make predictions. When testing the models' efficacy, several regression models were used. In the three-week period of test data, the expected instances are anticipated to be approximately 175K--200K, which closely matches the actual figures. Both the government and medical professionals can use this information to inform their future plans. The goal of data science is to discover new patterns and relationships in large datasets by applying statistical and computational methods. Cleansing and preparing data, visualising data, statistical modelling, machine learning, and many other tasks are all part of it. Discovering trends and patterns in data, creating forecasts, and providing decision-making support are all possible with the use of these methods. Data types that they might encounter include both structured (like dates and numbers in a spreadsheet) and unstructured (like text, photos, or audio). Many different sectors make use of data science, including banking, medicine, retail, and many more.","PeriodicalId":479892,"journal":{"name":"International academic journal of innovative research","volume":"15 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139854356","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":"Image Based Authentication Using Zero-Knowledge Protocol","authors":"Samyadevi V., Anguraj S., Singaravel G., Suganya S.","doi":"10.9756/iajir/v11i1/iajir1101","DOIUrl":"https://doi.org/10.9756/iajir/v11i1/iajir1101","url":null,"abstract":"Numerous well-known Internet applications have been introduced as a result of technological advancements. E-banking, or mobile banking, is one such vital program that significantly affects our contemporary lives. Although banks urge customers to interact online, citing it as a secure method, the truth reveals serious risks involved. The ongoing expansion of mobile banking applications raises concerns about security and drives up the expense of putting strong security measures in place for banks and clients alike. This study explores potential compromises via methods like Trojan horses, botnets, and phishing as it dives into the weaknesses of mobile banking systems. Although multifactor authentication solutions are available to verify the authenticity of clients, their transaction-level focus exposes browsers and smart phones to man-in-the-middle attacks. This work recognizes the urgent need for improved security for mobile banking and offers a novel approach to authentication. The main focus is on a hybrid one-time password solution that combines SHA 256-bit encryption with random OTP. The suggested approach seeks to strengthen security at the transaction and authentication levels by integrating picture verification into the authentication procedure.","PeriodicalId":479892,"journal":{"name":"International academic journal of innovative research","volume":"36 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139452338","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":"Cluster Head Selection and Secured Routing Using Glowworm Swarm Algorithm and Hybrid Security Algorithm for Over IoT-WSNs","authors":"Prakash M., Prakash A.","doi":"10.9756/iajir/v10i2/iajir1004","DOIUrl":"https://doi.org/10.9756/iajir/v10i2/iajir1004","url":null,"abstract":"WSNs (Wireless Sensor Networks) have received a lot of attention in a number of industries due to its self-configurability, simplicity in maintenance, and scaling capacities. WSN is configured with extra nodes in order to transport data around the network. The usual characteristics of sensor networks are low bandwidth, low energy, constrained power supply, and little memory space, which makes security particularly difficult in these networks. CH (Cluster heads) in a cluster experience heavier traffic loads than other cluster nodes. This results in the hotspot problems. Therefore, in a cluster-oriented routing scheme, picking the right CH is crucial. The two-level security is recommended in this research to safeguard data transmission via the WSN. A novel CH selection methodology is presented in order to increase the network's lifespan and energy effectiveness. This work also combines the fruit fly algorithm (FGF) with the GSA (firefly swarm algorithm) based on fitness to choose the optimal CH. To defend the network from assaults, it employs a hybrid security method that combines the Diffie-Hellman key exchange mechanism and the ECC (elliptic curve cryptography) algorithm. The suggested GSA-HSA protocol consistently produces good performance results in terms of MSR (Message Success Rate), E2E (End-to-End) Latency, NT (Network Throughput), and network throughput. average AEE (energy efficiency). The suggested approach outperforms all prior research by giving the wireless sensor network combination security, optimised coverage, and energy savings.","PeriodicalId":479892,"journal":{"name":"International academic journal of innovative research","volume":"57 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138980556","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}