File Management Research Articles

Optimizing the Transition: Strategies for Migrating On-Premise Storage to the Cloud

In recent years, Cloud Computing has had great relevance and has aroused interest in the Telecommunications industry, due to the reduction of costs in hardware acquisition, maintenance and operation personnel. One of the great advantages of cloud computing is the automation of processes that makes systems more robust and secure by limiting the margin of human and operational errors. It is of utmost importance to consider the large storage capacity management of video files that can provide solutions to media companies or related industries, this is key to think about a cost benefit analysis that can generate the migration and rental of these services in the cloud, with more reliable and accessible systems, this will help us to study hybrid technologies that offer on premise solutions. In addition to the above, when talking about companies that seek to digitally transform themselves to achieve agility and resilience, as well as to support future applications, it is necessary to mention their current infrastructures that have the capacity to host new technologies that require high performance, security and an adequate digital interconnection that allows the correct access to the acquired applications. In this research, an analysis of the existing process models for migration from on-premise storage to the cloud has been made with the objective of identifying the most important challenges, from planning, execution, factors to consider when assessing the complexity of applications and data before migrating to the cloud.

Enhancing Village Management and Governance Through Mobile Learning Initiatives

The Institute for Rural Advancement (INFRA), under the Ministry of Rural and Regional Development (KKDW), conducted a comprehensive outcome assessment of its mobile learning programme. This evaluation aligned with the TVET principle of practical, hands-on training, emphasizing real-world applications crucial for rural management. The study aimed to assess the programme's impact on enhancing participants' skills and knowledge in village management, including governance, financial management, and file system management. Quantitative survey was used to collect data from 219 trained participants. The results showed significant improvements in village management practices, with high effectiveness ratings across all dimensions. File management skills, demonstrated a strong acceptance of organized filing systems and improved administrative capacity. The findings also revealed notable improvements in village leadership, attributed to the programme's focus on community engagement and practical field experiences. By aligning its mobile learning programme with TVET's practical training pillar, INFRA has established itself as a leader in integrating TVET principles into rural management. This research offers valuable insights for policymakers and practitioners in designing effective rural development initiatives and enhancing village governance through targeted mobile learning programmes.

Designing File Storage and Sharing System

Background: Files stored on a network are anticipated to be exchanged securely and efficiently. An internet-based file management platform that enables users to securely create, save, organize, collaborate, and share files. Sharing is a recently developed service idea that is frequently sought after by researchers and students. The suggested work offers many forms of data files, including documents and multimedia files. File storage has been a widely used storage method for many years. Materials and Methods: The proposed method used to build the website is Visual Studio 2015 with SQL server Database to provide file storage with different data type storage and it provides a service as an IT repository file storage system to help student and teachers to communicate with each other in academic way for publishing files in easy and in a flexible manner. Results: The proposed system results showed that the website can provide file upload with supported files are ".doc", ".docx", ".pptx", ".pdf", ".zip", ".rar", ".mp4", ".flv", ".avi", ".PDF", ".DOCX" and ".DOC". Results showed that the system uploaded file size 5M, 10 and 25 M smoothly. Conclusion: The work provides a flexible way to store and sharing files for different fields and we use it for education purposes. The results showed that the proposed system is very flexible in the process of uploading various files at a very high speed, due to the ease of uploading files to the server and accessing them by various students in the college.

Ichor: A Python library for computational chemistry data management and machine learning force field development.

We present ichor, an open-source Python library that simplifies data management in computational chemistry and streamlines machine learning force field development. Ichor implements many easily extensible file management tools, in addition to a lazy file reading system, allowing efficient management of hundreds of thousands of computational chemistry files. Data from calculations can be readily stored into databases for easy sharing and post-processing. Raw data can be directly processed by ichor to create machine learning-ready datasets. In addition to powerful data-related capabilities, ichor provides interfaces to popular workload management software employed by High Performance Computing clusters, making for effortless submission of thousands of separate calculations with only a single line of Python code. Furthermore, a simple-to-use command line interface has been implemented through a series of menu systems to further increase accessibility and efficiency of common important ichor tasks. Finally, ichor implements general tools for visualization and analysis of datasets and tools for measuring machine-learning model quality both on test set data and in simulations. With the current functionalities, ichor can serve as an end-to-end data procurement, data management, and analysis solution for machine-learning force-field development.

Research on the Transformation of Enterprise Accounting in the New Era

In the face of the severe economic situation, In the new era, corporate finance has transformed from accounting to management accounting, and we should make full use of the cloud technology to improve the quality and efficiency of financial work and contribute to the management of the enterprise value chain. The specific measures for the financial transformation of enterprises mainly include: building an integrated platform for business and finance within the enterprise, transforming the organizational structure to a platform, integrating accounting file management, building a cross-enterprise integrated information system for business and finance, and strengthening internal audit and internal control of the enterprise.

Digital transformation in PAS file management: A case study of PT. AP I Bali

In the current era of globalization, digitization has become a significant advancement, often utilized by companies to streamline administrative processes and reduce reliance on paper-based systems. This research explores the effectiveness of using Google Drive for the monthly accumulation of Passenger Service Charge (PSC) files at PT. AP1 Bali. It aims to assess how digital technology can optimize administrative tasks, particularly the storage and management of PAS files. Additionally, the study outlines the procedural steps involved in the accumulation of these files, offering insights into improving service efficiency. The research is conducted through interviews, observations, and documentation at the airport, using qualitative methods to analyse the collected data. The process involves data reduction, summarization, and drawing conclusions to determine how effectively Google Drive enhances the company's file management system. The expected outcomes will provide PT. AP1 Bali with practical recommendations to optimize its PAS file accumulation process and improve overall service efficiency.

An efficient blockchain-based framework for file sharing

File sharing, being the foundation of the Internet, has traditionally relied on a centralized service architecture resulting in significant maintenance costs. Moreover, due to the lack of an effective file management system, instances of sensitive information going out of control and loss of confidentiality in file sharing have occurred frequently. In order to address the difficulty of tamper detection and the lack of supervision in the entire process of file transfer in the current Internet environment, this paper designs a blockchain-based system architecture for secure sharing of electronic documents. An efficient blockchain model is used in our framework, and with the help of distributed storage system and asymmetric encryption technology, file sharing can be controlled, reliable and traceable in the transfer process. Referring to existing consensus mechanisms, e.g., Delegated Proof of Stake (DPoS) and Practical Byzantine Fault Tolerance (PBFT), we propose a new consensus for efficient and secure file sharing. Our experimental results show that our framework can maintain a higher throughput than existing schemes

Management of sports injury treatment and radiological data analysis based on enhanced MRI image retrieval using autoencoder-based deep learning

BackgroundThe retrieval of magnetic resonance imaging (MRI) data holds paramount importance in clinical settings and sports medicine due to the limitations of conventional methods, such as slow speed, low accuracy, and limited learning capabilities. Enhancing this retrieval process is critical for advancing sports injury diagnostics and treatment outcomes. Overcoming these challenges is vital for improving healthcare practices and sports medicine methodologies. MethodThis study investigates the utilization of autoencoders in deep learning to efficiently retrieve MRI data from databases for sports injury diagnosis and treatment, with a focus on the model's ability to be trained with a small amount of labeled data. This research aims to enhance the MRI data retrieval process by leveraging autoencoders, showcasing the potential of deep learning technologies in sports injury diagnostics without the necessity of extensive labeled datasets for training. ResultsFindings have showcased the remarkable benefits of this approach for MRI data retrieval tasks, achieving an average accuracy of 99.09%. This signifies the exceptional performance of the technique within this specific domain, demonstrating its effectiveness and reliability in extracting MRI data. ConclusionsThis innovative methodology can enhance the management of archival data and diagnostic capabilities of medical images in sports injury contexts, offering an efficient and dependable solution for MRI data retrieval. It not only facilitates rapid clinical diagnosis and sports medicine research but also proposes a convenient approach for medical image file management.

Performance Optimization of Voice-Assisted File Management Systems

In this paper, we present a novel approach for managing the file system in Linux using a voice assistant. Our system allows users to perform file system operations such as creating directories, renaming files, and deleting files by issuing voice commands. We develop a voice assistant using Python libraries and integrate it with the file system in Linux. The voice assistant is capable of understanding natural language and executing commands based on the user’s voice inputs. We conduct experiments to evaluate the performance of the system and demonstrate that our approach is effective and efficient in managing the file system using voice commands. Our system can enhance the accessibility and usability of the file system in Linux for individuals with disabilities or those who prefer a hands-free approach to file management.

Towards a practical usage for the Sleuth Kit supporting file system add-ons

Most modern digital devices with storage utilize a file system to manage files and directories. Consequently, when digital forensic investigators derive evidence from such devices, they collect and analyze data stored on them through file system analysis. However, there are numerous types of file systems, with new ones continually being developed. Each file system possesses a distinct metadata structure and file management system. Therefore, investigators must possess prior knowledge of the specific file system being examined. Nevertheless, it is challenging for practitioners to be knowledgeable about all existing file systems. To address this issue, forensic software such as The Sleuth Kit (TSK), an open-source forensic tool, is employed for investigations. However, even these tools may not offer complete support for relatively recent file systems.Hence, we propose a structure for integrating a new file system into the open-source forensic tool TSK. Additionally, to validate this proposed structure, we demonstrate that support for five file systems (Ext4, XFS, Btrfs, F2FS, and Hikvision) can be added following this framework. To achieve this, we conducted an analysis of the metadata and file management scheme for these five file systems. Furthermore, we examined the operational procedures of the TSK framework. Based on these analyses, investigation capabilities for the five file systems have been incorporated into TSK. Moreover, reliability verification experiments were conducted on the developed tools; and performance evaluation was carried out in comparison with other commercial digital forensic tools. The findings of this study can serve as a foundation for future forensic studies based on file systems. Additionally, the TSK developed based on the proposed structure can assist investigators in conducting digital forensics effectively.

FInCH: FIJI plugin for automated and scalable whole-image analysis of protein expression and cell morphology

Study of morphogenesis and its regulation requires analytical tools that enable simultaneous assessment of processes operating at cellular level, such as synthesis of transcription factors (TF), with their effects at the tissue scale. Most current studies conduct histological, cellular and immunochemical (IHC) analyses in separate steps, introducing inevitable biases in finding and alignment of areas of interest at vastly distinct scales of organization, as well as image distortion associated with image repositioning or file modifications. These problems are particularly severe for longitudinal analyses of growing structures that change size and shape. Here we introduce a python-based application for automated and complete whole-slide measurement of expression of multiple TFs and associated cellular morphology. The plugin collects data at customizable scale from the cell-level to the entire structure, records each data point with positional information, accounts for ontogenetic transformation of structures and variation in slide positioning with scalable grid, and includes a customizable file manager that outputs collected data in association with full details of image classification (e.g., ontogenetic stage, population, IHC assay). We demonstrate the utility and accuracy of this application by automated measurement of morphology and associated expression of eight TFs for more than six million cells recorded with full positional information in beak tissues across 12 developmental stages and 25 study populations of a wild passerine bird. Our script is freely available as an open-source Fiji plugin and can be applied to IHC slides from any imaging platforms and transcriptional factors.

Managing Linux servers with LLM-based AI agents: An empirical evaluation with GPT4

This paper presents an empirical study on the application of Large Language Model (LLM)-based AI agents for automating server management tasks in Linux environments. We aim to evaluate the effectiveness, efficiency, and adaptability of LLM-based AI agents in handling a wide range of server management tasks, and to identify the potential benefits and challenges of employing such agents in real-world scenarios. We present an empirical study where a GPT-based AI agent autonomously executes 150 unique tasks across 9 categories, ranging from file management to editing to program compilations. The agent operates in a Dockerized Linux sandbox, interpreting task descriptions and generating appropriate commands or scripts. Our findings reveal the agent’s proficiency in executing tasks autonomously and adapting to feedback, demonstrating the potential of LLMs in simplifying complex server management for users with varying technical expertise. This study contributes to the understanding of LLM applications in server management scenarios, and paves the foundation for future research in this domain.

ACCESSING TECHNOLOGY ACCEPTANCE OF AN ELECTRONIC RECORDS MANAGEMENT PLATFORM FOR ACADEMIC RECORDS ‘E-COF’ AMONG ACADEMICIAN

Using technology to manage files can increase the organization's quality and productivity. This study addressed the product innovation of the electronic course file management system known as an e-COF platform used by academicians at a public university in Negeri Sembilan designed for managing the course files. This study investigated the academicians’ perceived of usefulness, perceived ease of use, user satisfaction, attribute of usability, and behavioural intention to use the e-Cof platform. Descriptive and inferential statistics were analysed using the latest version of Statistical Package for the Social Sciences (SPSS) software. Findings indicated that perceived of usefulness, perceived ease of use, user satisfaction, attribute of usability, and behavioral intention to use towards e-Cof platform were at a positive level with an average overall mean of 4.0 for all the statements. Findings also indicated that the gender and years of working experience of the academicians do not differ towards e-COF. This study provides significant feedback on public university academicians’ acceptance of new technology used for academic file management. This study will also help university administrators to better understand and cater to the need for reliable and stable electronic file management at public universities.

Design Web-based Portal to Management a Pilgrim Office in Kurdistan Region

In the era of globalization, the region of Kurdistan, is participation in several ongoing projects where IT-enable systems are intended to be implemented in various sectors as part of the national IT policy. However, because of the establish system complex structure and the outdated system poor design, implementing IT enable systems locally is a significant issue. Particularly in the section dedicated to Hajj services, where files are still manually stored overcrowding happens ate registration offices since pilgrims cannot get any fresh instruction or announcements at the time they must got to the office or call them and insufficient security and safety measure for pilgrims’ data. The purpose of developing this file filing system was to facilitate and ease the management of current files by staff. As part of the research process, issues with Haji file management were identified and information was gathered via literature research, interview and observation. Laravel (PHP), Bootstrap and HTML5 are programming language used in system development, along MySQL, Xampp. System Usability Scale (SUS) approach was used to test the system, and 10 participations sign up for it. The highest overall satisfaction rate, at roughly 80.1%

Hybrid Architectures Used in the Protection of Large Healthcare Records Based on Cloud and Blockchain Integration: A Review

The management of large medical files poses a critical challenge in the health sector, with conventional systems facing deficiencies in security, scalability, and efficiency. Blockchain ensures the immutability and traceability of medical records, while the cloud allows scalable and efficient storage. Together, they can transform the data management of electronic health record applications. The method used was the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology to choose and select the relevant studies that contribute to this research, with special emphasis set on maintaining the integrity and security of the blockchain while tackling the potential and efficiency of cloud infrastructures. The study’s focus is to provide a comprehensive and insightful examination of the modern landscape concerning the integration of blockchain and cloud advances, highlighting the current challenges and building a solid foundation for future development. Furthermore, it is very important to increase the integration of blockchain security with the dynamic potential of cloud computing while guaranteeing information integrity and security remain uncompromised. In conclusion, this paper serves as an important resource for analysts, specialists, and partners looking to delve into and develop the integration of blockchain and cloud innovations.

Large file encryption in a reduced-round permutation-based AES file management system

In the rapid evolving digital landscape, the imperative to ensure data security has never been more crucial. This paper addresses the pressing challenges in data security by introducing a file encryption management system, leveraging a modified advanced encryption standard (AES) algorithm with reduced round iterations and bit permutation. This system aims to comprehensively secure various file types, providing a dependable solution for file exchange. Our findings reveal substantial improvements in both encryption and decryption processes using the reduced-round permutation-based AES (RRPBA). The adapted algorithm demonstrates a significant 38.8% acceleration in encryption time and a remarkable 44.86% improvement in decryption time, positioning it as a pivotal component for efficient file operations within the management system. Moreover, the throughput assessments showcase a remarkable 33.73% improvement in encryption and 23.72% in decryption, outperforming the original AES, emphasizing the algorithm's superior computational effectiveness, signaling positive implications for future high-performance applications. In conclusion, the study not only addresses critical security challenges but also presents a viable solution with tangible speed advantages for file encryption and decryption processes within digital file management systems.

Study on the Utilization of Electronic Files in the Context of Intelligent Courts

With the online litigation, intelligent justice in all parts of China's courts to fully promote the wisdom of the court is in an important stage of rapid development, the traditional paper file archiving has not been able to effectively adapt to the information age judicial reform to explore the practical needs of the courts around the world to explore the application of electronic files. The popularization and application of electronic file, not only the authenticity of the case file, the effectiveness of the new requirements, but also for the right to read the file and other rights of the exercise of the right to bring new challenges. Combined with an analysis of the current state of practice and problems in the use of electronic files, it promotes the formation of countermeasures and recommendations for solving problems related to the generation, management, transfer and access of electronic files.

KONTRIBUSI PEGAWAI DALAM MANAJEMEN SEKTOR PUBLIK TERHADAP PENGELOLAAN BERKAS RUMAH TANGGA BIRO UMUM SETDA PROVINSI JAWA TIMUR

Nowadays the modern management system involves a wider role on the performance of public sector organizations. In developing a management system, it also requires good human resources and is able to carry out all the tasks for which it is responsible. The ability of human resources can be influenced by their educational background. Because the form of the ability of each human resource is taaught and obtained from the level of Education. These human resources will be able to influence the implementation of an effective and efficient management system. If the management system runs effectively and efficiently, the goals of each organization can be realized to the maximum. In this article discusses the management system in File Management in government agencies at the regional level, namely the East Java Provincial Secretariat Agency. After research found several things that have a relationship with the contribution of employees. Employees also have a contribution in building involvement and empowerment in the field of file management. Not only that, employees are also required to be able to encourage new ideas in the field of file management. And finally, employees can also contribute to creating an environment to realize personal goals and develop skills and abilities in file management. In this study aims to determine the role of employees in contributing to create good management in the process of file management in the household sub-division of the Bureau of General Secretariat of East Java. This study uses descriptive qualitative research methods with literature reviews and interviews with household employees of the East Java Secretariat General Bureau. The role of employees is very important for the development of management systems in a public sector organization. Keywords: Public Sector Organizations; Management; Employees

Dual Education: A methodology Used in the Professional Secretariat School for developing workplace competencies during 2023

The Dual Professional Training Project of the Professional Secretarial School (ESP) of the National University since 2000 and is implemented in the diploma program of the two careers Commercial Education and Office Administration, which provide work spaces for students to acquire certified professional experience and, at the same time, develop labor and social competencies, through the combination of theory and practice. Continuous supervision of the participants is carried out, as well as interviews and focus groups to learn about the experiences of this modality in the year 2023, which were the acquisition of knowledge in the area of technology with the use of platforms, programs and databases; the execution of techniques through the development of document types and file management; and participation in areas complementary to their training, such as training and handling of confidential information, in addition to the skills put into practice, for example, teamwork, assertive communication and creativity. The teaching staff of the ESP has pedagogical training and experience in the technical area, necessary to complement the work developed by the tutors within the companies, which have the disposition and resources to participate in this modality.

Enhancing MRI image retrieval using autoencoder-based deep learning: A solution for efficient clinical and teaching applications

BackgroundMagnetic resonance imaging (MRI) image retrieval holds significant value in clinical contexts and medical education due to the shortcomings of traditional methods: slow speed, low accuracy, and limited learning capabilities. Improving this retrieval process is crucial for enhancing medical diagnostics and educational outcomes. Efforts to overcome these challenges are paramount for advancing healthcare practices and educational methodologies. MethodThis study explores the use of autoencoders in deep learning to effectively retrieve MRI images from databases for medical education, emphasizing the model's capacity to be trained with a small amount of labeled data. This work intends to improve the MRI image retrieval process by utilizing autoencoders, demonstrating the promise of deep learning technologies in medical image analysis without the need for large labeled datasets for training. ResultsResearch has demonstrated the exceptional advantages of this method for MRI image retrieval tasks, with an average accuracy of 99.09%. This indicates that the technique performs exceptionally well in this particular domain and is very effective and reliable in extracting MRI images. ConclusionsThis innovative approach can improve the archival management and diagnostic functions of medical images, providing an efficient and reliable solution for MRI image retrieval. It not only helps doctors with clinical diagnosis and medical teaching and research more quickly but also suggests a convenient solution for file management related to medical images.