International Journal of Cloud Computing and Supply Chain Management
https://jacr.sciforce.org/JACR
<p>The<strong> International Journal of Cloud Computing and Supply Chain Management</strong> is a peer-reviewed journal dedicated to the exploration and advancement of robotics and artificial intelligence (AI). It serves as a platform for researchers, engineers, and practitioners to share innovative solutions, research findings, and cutting-edge technologies in the field.</p> <p>The journal emphasizes practical applications of robotics and AI, fostering collaboration between academia and industry to address global challenges.</p>Sciforce Publicationsen-USInternational Journal of Cloud Computing and Supply Chain Management3067-0535The secure computation application programming interface using the ARAS Method
https://jacr.sciforce.org/JACR/article/view/236
<p>An Application Programming Interface (API) entails guidelines, Principles and an array of<br>utilities, it stands as distinct software Applications interacting with one another communication enables<br>A service tailored for developers, of the library or website Intrinsic operations without the need for<br>comprehension in connection with that correspondence Approaches that can be employed and structures<br>of data APIs establish.service or platform. Abstraction Layer: An API acts as an abstraction layer that<br>separates the implementation details of a software component from its usage. It provides a standardized<br>way for developers to access the functionality of another software component or service.<br>Interoperability: The significance of application programming interfaces (APIs) in research is profound<br>and multifaceted, impacting various fields and disciplines. APIs serve as crucial tools that enable<br>researchers to interact with and harness the capabilities of existing software, platforms, and services.<br>Here&#39;s why APIs are significant in research: Efficiency and Productivity: APIs allow researchers to<br>access complex functionalities without having to reinvent the wheel. By integrating APIs, researchers<br>can save time and effort, focusing more on the core research objectives. Data Access and Analysis: APIs<br>provide access to vast amounts of data from different sources. Researchers can gather, analyze, and<br>synthesize data from diverse platforms, expanding the scope and depth of their research.<br>Interdisciplinary Collaboration: APIs facilitate collaboration across disciplines. Researchers from<br>different domains can utilize APIs to combine tools and data, fostering interdisciplinary studies that<br>address complex problems. Innovation: APIs encourage innovation by enabling researchers to build<br>upon existing technologies. By integrating APIs creatively, researchers can develop novel solutions that<br>were not feasible before. Replicability and Transparency: APIs enhance research transparency by<br>allowing others to reproduce research procedures easily. The use of APIs ensures that methodologies<br>and data processing steps can be replicated accurately. Customization: APIs enable researchers to<br>customize tools and platforms according to their specific research needs. This flexibility empowers<br>researchers to tailor solutions to their unique requirements.Automation: APIs facilitate the automation<br>of repetitive tasks and data collection, reducing human errors and enhancing the reliability of research<br>outcomes. Real-time Data: Many APIs provide real-time data updates. Researchers can access and<br>analyze current information, making their studies more relevant and timelier. Experimentation and<br>Prototyping: APIs enable researchers to quickly prototype ideas and experiment with different<br>functionalities. This rapid iteration helps in refining research methodologies. Cross-platform<br>Integration: APIs bridge the gap between different software and platforms, enabling seamless<br>integration between tools that might not natively work together. Cost-effectiveness: Instead of building<br>tools from scratch, researchers can utilize APIs, which often offer cost-effective solutions for specific<br>research needs. Education and Training: APIs play a role in educating the next generation of<br>researchers and programmers. Learning to work with APIs exposes students to real-world coding<br>practices and software development concepts. The ARAS method for complex decision problems Trying<br>to simplify and appropriate indicator (degree of application) &quot;excellent&quot; Through alternate exams It is in<br>between alternative and the best solution Reflects difference and is different Eliminates the influence of<br>units of measurement. ARAS technique might be used. A regular MCDM trouble is related to the project<br>of Limited variety of results Ranking the options, each of them Based on various selection criteria are<br>clearly described, in line with the ARAS method, decide a application characteristic fee. The relative<br>effectiveness of the complexity of the viable opportunity. Google Maps API, Twitter API, Stripe API,<br>Spotify API, OpenWeatherMap API and Twilio API.Documentation Quality, Ease of Integration,<br>Functionality, Performance, Community and Support and Security. the Rank Application Programming<br>Interface using the analysis of Addition Ratio Assessment (ARAS) Method. Twilio API is showing the<br>highest value of rank whereas Twitter API is showing the lowest value.<br><br></p>Rakesh Mittapally
Copyright (c) 2025 International Journal of Cloud Computing and Supply Chain Management
2025-02-172025-02-171111210.55124/ijccsm.v1i1.236Understanding its Big Data Analytics Potential Benefits for Healthcare Organizations
https://jacr.sciforce.org/JACR/article/view/234
<p>Big data analytics involves the examination and analysis of extensive and intricate datasets to discover shape business strategies, or deepen understanding of a specific phenomenon. It encompasses the use of advanced analytic techniques like data mining, machine learning, and statistical analysis to extract valuable information from vast quantities of data. datasets characterized by their size, speed, and diversity. It involves rephrasing or restating the information in a different way, using different words and sentence structures. Paraphrasing helps to avoid plagiarism and can be used to clarify complex concepts or make information more accessible to a specific audience. It is important to accurately represent the original source while incorporating your own writing style. Storing the processed data in appropriate storage systems, such as data lakes or distributed file systems, Data analysis: Applying various analytic techniques to extract insights and discover patterns, correlations, and trends within, predictive analytics. Researchers can Through the utilization of advanced analytical techniques like unveil concealed patterns, correlations, and trends that might not be evident through conventional analysis approaches. This allows researchers decision-making processes. These insights can lead to new discoveries, novel findings, and a deeper understanding of complex phenomena. Nonmetal mineral product industry, General equipment manufacturing, Mining and washing of coal, Textile industry, Food manufacturing industry. e-Readiness, Technology, Environment, Organization, People. e-Readiness is got the first rank whereas is the Organization is having the Lowest rank. Rank using the DEMATEL for e-Readiness is got the first rank whereas is the Organization is having the Lowest rank.</p>Surya Rao Rayarao
Copyright (c) 2025 International Journal of Cloud Computing and Supply Chain Management
2025-02-182025-02-1811475610.55124/ijccscm.v1i1.234The Role of Expectations in Human-Computer Interaction Using by TOPSIS Method
https://jacr.sciforce.org/JACR/article/view/237
<p>Human-Computer Interaction (HCI) refers to a multidisciplinary domain that involves creating, assessing, and implementing interactive computing systems. In an introductory context, HCI covers fundamental principles and concepts pivotal to the field. This foundational knowledge paves the way for delving into more complex subjects like interface design, usability testing, and user research. Given the continuous technological advancements, HCI remains a dynamic and crucial area of study in the digital era, offering exciting prospects for further exploration. Improved User Experiences: By studying user behaviors and preferences, researchers can identify pain points and design solutions that lead to more enjoyable and productive experiences with technology. Increased Technology Adoption: When technology is user-friendly and easy to use, people are more likely to adopt and integrate it into their daily lives. HCI research helps in reducing barriers to technology adoption, leading to broader acceptance and usage of various technological innovations. Foster Innovation: Understanding human needs and behaviors in relation to technology inspires innovation. HCI research uncovers new insights into user requirements, enabling the development of novel technologies and applications that cater to diverse needs and preferences. Address Ethical Considerations: HCI research includes ethical considerations in the design process. It helps identify and mitigate potential risks related to privacy, security, and other ethical concerns, ensuring that technology is developed responsibly and with user well-being in mind. he prioritization of the ideal solution using the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is a multi-criteria decision-making method. TOPSIS, also known as PIS (Positive Ideal Solution), is a technique that aims to identify the alternative with the shortest geometric distance from the positive ideal solution, while also ensuring a substantial distance from the negative ideal solution (NIS) in terms of geometry. The underlying decrease consistently. In many cases, scaling problems or criteria may have improper dimensions, making normalizations essential for meaningful comparisons. Text only, Text, voice, and image, Text, voice, and animation, Contingent face-to-face Competence, Dominance, Iron and steel, Sociability, Task-partner attraction, From the result it is seen that Competence is got the first rank where as is the Iron and steel is having the lowest rank.</p>Janaki Ram Kiran Gummaluri
Copyright (c) 2025 International Journal of Cloud Computing and Supply Chain Management
2025-02-162025-02-1611374610.55124/ijccsm.v1i1.237Design and Implementation of Online Auction System Project Documentation Using the WPM Method
https://jacr.sciforce.org/JACR/article/view/235
<p><em>Online auction system project documentation refers to the comprehensive collection of written materials, instructions, guidelines, and resources that outline the design, development, and operation of an online platform where goods or services can be auctioned off to potential buyers over the internet. This documentation is essential to guide developers, stakeholders, and users through the process of creating, understanding, and utilizing the online auction system. Key aspects and components covered in online auction system project documentation typically include: Introduction: An overview of the project, its objectives, and the scope of the online auction system. This section sets the context and explains the purpose of the documentation. System Architecture: A detailed description of the technical structure of the online auction platform, including databases, servers, APIs, and user interfaces. It outlines how different components interact to create a functional system. User Roles and Permissions: Explanation of different user roles (buyers, sellers, administrators, etc.) and the permissions each role has within the system. This ensures that the platform operates securely and effectively. User Registration and Authentication: Guidelines on how users can create accounts, log in, and manage their profiles. Security measures like password policies and two-factor authentication might also be covered. Item Listing and Management: Instructions on how sellers can list their items for auction, including adding descriptions, images, and setting starting bids. Also, guidelines for managing active and completed auctions. Bidding Process: Details on how buyers can place bids on items, how bidding increments work, and how the highest bidder is determined. This section may also address automatic bidding and bid tracking. Payment and Checkout: Information on how winning bidders can complete their transactions, make payments, and confirm delivery details. This part ensures smooth monetary transactions. Security and Privacy: Documentation on measures taken to ensure data security, user privacy, and fraud prevention. A Weight product Model (WPM) establishment solution to a decision-making issue utilized to address. This suggested approach an evaluation relative in nature takes into consideration the method. Subsequent segment includes a relaxation sheet structured implementation delivers an appraisal of the challenge. Tasks associated with a specific domain Weighted Product</em><em>Online auction system project documentation</em><em> Content Quality, Clarity of Instructions, Visual Presentation and Completeness the Ranking of </em><em>Online auction system project documentation</em><em> in </em><em>Online auction system project documentation 5 </em><em>is got the first rank whereas is the </em><em>Online auction system project documentation 3the </em><em>Lowest rank.</em></p>Venkata Kalyana Chakravarthy Gentena
Copyright (c) 2025 International Journal of Cloud Computing and Supply Chain Management
2025-02-152025-02-1511253610.55124/ijccsm.v1i1.235Evaluation of Computer Architecture and Organization using the SPSS Method
https://jacr.sciforce.org/JACR/article/view/233
<p><strong>Abstract.</strong>The process of creating a computer's internal structure and layout, as well as the electronic components' interactions with one another, is referred to as computer architecture design. It entails making choices about the architectural of the entire system as well as the CPU, memory hierarchy, input/output (I/O) systems, and memory hierarchy. (ISA) Instruction Set Architecture The interface that exists between software and computer hardware is described by ISA. It contains the set of instructions the CPU is capable of processing, the addressing modes, and the register structure.The ISA decision has an impact on CPU architecture and programmed compatibility. CPU Design: The brains of a computer system, the CPU. A control unit, an arithmetic logic unit (ALU), registers, and data routes are all included in its architecture. Pipelining, superscalar implementation, out-of-order execution, and branched prediction algorithms are design options that can boost performance.<em>Research on computer design is crucial for developing computer technologies and scientific knowledge. Here are several main justifications for the significance of computer architecture design research: Performance Enhancement: Research in computer architecture design focuses on enhancing the functionality of computer systems. Researchers can develop processors, memory layers, and I/O systems that are more efficient by investigating novel architectural methodologies and designs. This results in quicker calculations, quicker responses, and better system performance all around. Energy & Efficiency in Technology: With the demand for energy-efficient computer systems growing, computer design research is crucial in creating designs that use the least amount of electricity possible. Researchers are able to contribute to more sustainability computing solutions and lessen the impact of technology by enhancing design choices and introducing low-power strategies. Scalability and Parallelism: Scalable and parallel computing systems are crucial as computing demands continue to increase. Techniques including multiple cores, parallel programming methods, and distributed systems for computation are explored in this field of study. Researchers permit high-performance computing and effectively carry out complicated tasks by inventing architectures that make optimum use of parallelism.</em><em>SPSS statistics is multivariate analytics, business intelligence, and criminal investigation data management, advanced analytics, developed by IBM for a statistical software package. A long time, spa inc. Was created by, IBM purchased it in 2009. The most contemporary versions are marketed under the designation IBM SPSS statistics. Arithmetic logic unit, Data memory, Instruction memory, Hardwired control unit, Microprogrammed control unit</em>The Cronbach's Alpha Reliability result. The overall Cronbach's Alpha value for the model is .860 which indicates 86% reliability. From the literature review, the above 50% Cronbach's Alpha value model can be considered for analysis.</p>Nitesh Kumar Ramancha
Copyright (c) 2025 International Journal of Cloud Computing and Supply Chain Management
2025-02-192025-02-1911132410.55124/ijccsm.v1i1.233