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Stationery Management System 文具管理系统
Pub Date : 2024-02-28 DOI: 10.9756/iajir/v11i1/iajir1105
Dr.N. Baggyalakshmi, J. Kanishka, Dr.R. Revathi
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.
文具管理系统是一个全面的软件解决方案,旨在简化和自动化企业管理文具库存的流程。该系统旨在通过提供一个跟踪、控制和补充文具用品的集中平台,提高效率、降低成本并提升整体生产力。该系统提供用户友好型界面,允许办公室管理员或采购经理等授权人员有效管理文具库存的各个方面。它具有以下主要功能:库存管理:系统可维护一个全面的文具用品数据库,包括物品名称、描述、数量和单价等详细信息。用户可以轻松添加新项目、更新现有项目并实时跟踪库存水平。采购和请购单:用户可直接从系统生成采购订单或请购单,确保采购流程简化。该系统还可与外部卖方或供应商集成,实现自动下单和跟踪。库存监控:系统可实时查看文具用品的当前库存水平。用户可以设置自动警报,在库存水平低于预定阈值时发出通知,确保及时重新订购,防止缺货。发货和退货跟踪:该系统便于跟踪发给员工或部门的文具用品。用户可通过它记录物品发放情况、监控其使用情况并有效管理退货。这一功能有助于防止滥用,并确保问责制。报告和分析:系统可生成全面的报告和分析,提供有关文具使用、支出和库存趋势的宝贵见解。这些报告有助于做出以数据为导向的决策、优化采购流程和确定节约成本的机会。集成性和可访问性:该系统可与组织内的其他现有系统(如会计或企业资源规划(ERP)软件)集成,确保数据流的无缝衔接,最大限度地减少人工数据输入。该系统还可通过多种设备进行访问,使用户能够远程管理文具库存。总之,文具管理系统为企业提供了一个集中、高效的解决方案,以有效管理其文具库存。通过自动化关键流程和提供实时可见性,该系统可优化采购、减少浪费并提高生产率,从而节约成本并提高运营效率。
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引用次数: 0
Smart Billing Software 智能计费软件
Pub Date : 2024-02-28 DOI: 10.9756/iajir/v11i1/iajir1106
Dr.N. Baggyalakshmi, M.S. Harrsini, Dr.R. Revathi
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.
业务运营支持系统提供的一整套解决方案围绕智能计费软件展开。因为计费是公司的神经中枢,它负责监管所有重要数据,包括产品目录、客户、费率、税收、财务会计、发票、付款、借方和贷方票据、双分类账、支持多种货币等。在 Smart Billing Software 引擎的帮助下,您可以管理涉及计量收费、经常性收费、基于事件的收费和临时收费的任何业务操作,该引擎在设置任何类型的产品、产品包、用户定义的评级结构、税收规则等方面提供了无与伦比的灵活性。有了 Smart Billing Software,任何服务模式和产品都可以轻松集成到一个平台中。它兼容预付费和后付费支付系统。由于其开放的API基础,Smart Billing软件与其他BOSS产品高度兼容,可构建全面的解决方案。智能计费是新思科技解决方案的预集成组件,也是新思科技提供的BOSS解决方案之一。
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引用次数: 0
HR Onboarding Kit 人力资源入职工具包
Pub Date : 2024-02-28 DOI: 10.9756/iajir/v11i1/iajir1104
Dr.N. Baggyalakshmi, R. Dhanya, Dr.R. Revathi
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.
用户可以使用 Microsoft Flow(现称为 Power Automate)在 Office 365 工作流程中自动执行任务和流程。许多组织都依赖 Microsoft Office 365 中的许多程序。常见的微软 Office 应用程序包括 Word、Excel、PowerPoint、Outlook、OneNote 和 OneDrive。其他微软产品也有各自的用途,但应用程序之间通常不会相互通信,而是独立运行。有了 Power Automate/Microsoft Flow,这些应用程序就可以相互通信,并对其他程序触发的事件做出响应。使用 Microsoft Power Automate,您可以通过集成各种应用程序和平台来自动执行各种流程和任务。无论是在云端还是在企业内部,用户都能将 Microsoft Office 365 应用程序相互集成,并集成大量其他程序库。即使是对 Office 365 有初步了解的人,也可以建立简单的自动化,为公司简化琐碎的任务。Power BI 和 Microsoft Power Apps 允许高级用户建立自己独特的业务流程。用户可以使用工作流(也称为流程)轻松设计应用程序的交互性。
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引用次数: 0
Managing and Billing Software for Hypermarket 大卖场管理和计费软件
Pub Date : 2024-02-08 DOI: 10.9756/iajir/v11i1/iajir1103
Baggyalakshmi N., Jokani N.R., Revathi R.
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.
在免费演示会话中,您可以预览整个系统的设计,并通过体验 Optech 的数字仪表板消除您的疑问。在导航系统中,我们对用户界面进行了优化,使其直观易懂,适合所有人群,以便员工掌握整个操作。Optech 软件采用 VB.net 和 MY SQL Server 开发。该系统可以高效地生成报告,这将有助于轻松维护大卖场。Optech 软件可在数据库中存储大量记录。这是一款用户友好型软件,可用于服务、销售和报告。它的存储空间不受限制,可在线或离线使用。计费报告可按数据或价格生成。
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引用次数: 0
Covid -19 Prediction 科维德-19预测
Pub Date : 2024-02-08 DOI: 10.9756/iajir/v11i1/iajir1102
Baggyalakshmi N., Jayasri K., Revathi R.
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.
COVID-19 大流行已成为全球紧急事件。如果世界各国政府真想降低这种世界性流行病的影响,就必须投入大量资源来研究这种疾病。本研究调查了该疾病的爆发情况,为印度地区训练了数据集,并测试了随后三周内的病例数量。基于从印度政府官方门户网站获取的整个关键时期的数据,我们利用包括逻辑回归模型在内的各种机器学习算法进行了预测。在测试模型的有效性时,我们使用了多个回归模型。在为期三周的测试数据中,预计实例数约为 17.5 万-20 万,与实际数字非常接近。政府和医疗专业人员都可以利用这些信息为自己的未来计划提供依据。数据科学的目标是通过应用统计和计算方法在大型数据集中发现新的模式和关系。数据清洗和准备、数据可视化、统计建模、机器学习和许多其他任务都是数据科学的组成部分。使用这些方法可以发现数据中的趋势和模式、创建预测并提供决策支持。他们可能遇到的数据类型包括结构化数据(如电子表格中的日期和数字)和非结构化数据(如文本、照片或音频)。许多不同的行业都在使用数据科学,包括银行业、医药业、零售业等。
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引用次数: 2
Managing and Billing Software for Hypermarket 大卖场管理和计费软件
Pub Date : 2024-02-08 DOI: 10.9756/iajir/v11i1/iajir1103
Baggyalakshmi N., Jokani N.R., Revathi R.
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.
在免费演示会话中,您可以预览整个系统的设计,并通过体验 Optech 的数字仪表板消除您的疑问。在导航系统中,我们对用户界面进行了优化,使其直观易懂,适合所有人群,以便员工掌握整个操作。Optech 软件采用 VB.net 和 MY SQL Server 开发。该系统可以高效地生成报告,这将有助于轻松维护大卖场。Optech 软件可在数据库中存储大量记录。这是一款用户友好型软件,可用于服务、销售和报告。它的存储空间不受限制,可在线或离线使用。计费报告可按数据或价格生成。
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引用次数: 0
Covid -19 Prediction 科维德-19预测
Pub Date : 2024-02-08 DOI: 10.9756/iajir/v11i1/iajir1102
Baggyalakshmi N., Jayasri K., Revathi R.
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.
COVID-19 大流行已成为全球紧急事件。如果世界各国政府真想降低这种世界性流行病的影响,就必须投入大量资源来研究这种疾病。本研究调查了该疾病的爆发情况,为印度地区训练了数据集,并测试了随后三周内的病例数量。基于从印度政府官方门户网站获取的整个关键时期的数据,我们利用包括逻辑回归模型在内的各种机器学习算法进行了预测。在测试模型的有效性时,我们使用了多个回归模型。在为期三周的测试数据中,预计实例数约为 17.5 万-20 万,与实际数字非常接近。政府和医疗专业人员都可以利用这些信息为自己的未来计划提供依据。数据科学的目标是通过应用统计和计算方法在大型数据集中发现新的模式和关系。数据清洗和准备、数据可视化、统计建模、机器学习和许多其他任务都是数据科学的组成部分。使用这些方法可以发现数据中的趋势和模式、创建预测并提供决策支持。他们可能遇到的数据类型包括结构化数据(如电子表格中的日期和数字)和非结构化数据(如文本、照片或音频)。许多不同的行业都在使用数据科学,包括银行业、医药业、零售业等。
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引用次数: 2
Image Based Authentication Using Zero-Knowledge Protocol 使用零知识协议进行基于图像的身份验证
Pub Date : 2024-01-03 DOI: 10.9756/iajir/v11i1/iajir1101
Samyadevi V., Anguraj S., Singaravel G., Suganya S.
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.
随着技术的进步,许多著名的互联网应用已经问世。电子银行或移动银行就是这样一种重要的程序,它对我们的现代生活产生了重大影响。尽管银行呼吁客户进行在线互动,称其为一种安全的方法,但事实却揭示了其中存在的严重风险。手机银行应用的不断扩展引发了人们对安全问题的担忧,也增加了银行和客户采取有力安全措施的成本。本研究在深入探讨移动银行系统的弱点时,探讨了通过木马、僵尸网络和网络钓鱼等方法可能造成的危害。虽然多因素身份验证解决方案可用于验证客户的真实性,但其交易层面的关注点会使浏览器和智能手机受到中间人攻击。这项工作认识到了提高移动银行安全性的迫切需求,并提供了一种新颖的身份验证方法。主要重点是将 SHA 256 位加密与随机一次性口令相结合的混合一次性口令解决方案。所建议的方法旨在通过将图片验证整合到身份验证程序中来加强交易和身份验证层面的安全性。
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引用次数: 0
Cluster Head Selection and Secured Routing Using Glowworm Swarm Algorithm and Hybrid Security Algorithm for Over IoT-WSNs 使用萤火虫群算法和混合安全算法为物联网-无线局域网选择簇头和安全路由
Pub Date : 2023-12-11 DOI: 10.9756/iajir/v10i2/iajir1004
Prakash M., Prakash A.
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.
无线传感器网络(WSN)因其自配置性、维护简便性和扩展能力,在许多行业受到广泛关注。WSN 配置了额外的节点,以便在网络中传输数据。传感器网络的通常特点是低带宽、低能耗、电力供应有限和内存空间小,这使得这些网络的安全性特别困难。簇中的 CH(簇首)比其他簇节点承受更重的流量负荷。这就导致了热点问题。因此,在面向集群的路由方案中,选择合适的 CH 至关重要。本研究建议采用两级安全来保障 WSN 的数据传输。本文提出了一种新颖的 CH 选择方法,以提高网络的寿命和能效。这项研究还结合了基于适配性的果蝇算法(FGF)和萤火虫群算法(GSA),以选择最佳 CH。为了保护网络免受攻击,它采用了一种混合安全方法,该方法结合了 Diffie-Hellman 密钥交换机制和 ECC(椭圆曲线加密)算法。所建议的 GSA-HSA 协议在 MSR(信息成功率)、E2E(端到端)延迟、NT(网络吞吐量)和网络吞吐量以及平均 AEE(能效)方面始终保持着良好的性能。所建议的方法为无线传感器网络提供了安全、优化覆盖和节能的综合优势,优于之前的所有研究。
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引用次数: 0
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International academic journal of innovative research
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