Program Implementation of Methods for Analysis and Verification of Technical Reports

2024;
: pp. 208-221
1
Lviv Polytechnic National University, Computer Engineering Department, Software Department
2
Lviv Polytechnic National University, Computer Engineering Department, Software Department

The paper provides a solution to the problem of software implementation of methods of analysis and standard control of textual technical reports in docx format to check their compliance with given standards. The proposed solution uses .NET, WPF and DocumentFormat.OpenXml technologies are used to check the correctness of page formatting, the consistency of styles, the presses, and compliance of page parameters with standards (A4, Letter). Administrators are also allowed to flexibly configure the sequence of styles using the “before” and “after” parameters.

One of the key features of the implementation is the optimization of the size of the program, which allowed it to reduce its size by more than 50% without losing functionality, which ensures high productivity and efficiency. All detected inconsistencies are recorded in a report file for further analysis. The software solution simplifies the process of document verification, improves the quality of documents, and contributes to the standardization of reporting in organizations, reducing the time and resources required.

The results of the work demonstrate that an automated approach to document verification can significantly improve the quality of data processing and facilitate documentation management, contributing to the further development of computer engineering and optimization of work processes.

  1. Hlukhov V. S. and Sydorko D. S., "Algorithms and software for verification of scientific and technical text documents" 2023 Applied Aspects of Information Technology 2023; Vol.6 No. 3:304–317, doi: 10.15276/aait.06.2023.21.
  2. D. Jung, M. Kim and Y. -S. Cho, "Detecting Documents With Inconsistent Context," in IEEE Access, vol. 10, pp. 98970-98980, 2022, doi: 10.1109/ACCESS.2022.3204151.
  3. S. Eken, H. Menhour and K. Köksal, "DoCA: A Content-Based Automatic Classification System Over Digital Documents," in IEEE Access, vol. 7, pp. 97996-98004, 2019, doi: 10.1109/ACCESS.2019.2930339.
  4. K. Nguyen, A. Nguyen, N. D. Vo and T. V. Nguyen, "Vietnamese Document Analysis: Dataset, Method and Benchmark Suite," in IEEE Access, vol. 10, pp. 108046-108066, 2022, doi: 10.1109/ACCESS.2022.3211069.
  5. H. Lee and H. -W. Lee, "Hidden Message Detection in MS-Word File by Analyzing Abnormal File Structure," 2020 International Conference on Green and Human Information Technology (ICGHIT), Hanoi, Vietnam, 2020, pp. 54-57, doi: 10.1109/ICGHIT49656.2020.00021.
  6. W. Xu, Y. Xu, G. Huo, Y. Yang and Y. Jin, "Optimized Dual-mode Security Encryption Chip Design Based on Hash Algorithm," 2022 IEEE 11th International Conference on Communication Systems and Network Technologies (CSNT), Indore, India, 2022, pp. 566-570, doi: 10.1109/CSNT54456.2022.9787655.
  7. R. N. Kulkarni, C. Ganesh, D. K. B K, H. B and A. P. Reddy, "Novel Approach to Detect Plagiarism in the Document," 2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE), Ballar, India, 2023, pp. 1-6, doi: 10.1109/ICDCECE57866.2023.10150442.
  8. J. Chang and M. Fanguy, "Collab_doc_maker: An Automatic Google-Doc-making Tool," 2021 16th International Conference on Computer Science & Education (ICCSE), Lancaster, United Kingdom, 2021, pp. 806-809, doi: 10.1109/ICCSE51940.2021.9569570.
  9. B. Li, Y. Chen and L. Zeng, "Kenet: Knowledge-Enhanced DOC-Label Attention Network for Multi-Label Text Classification," ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Seoul, Korea, Republic of, 2024, pp. 11961-11965, doi: 10.1109/ICASSP48485.2024.10447643.
  10. N. Nissim, A. Cohen and Y. Elovici, "ALDOCX: Detection of Unknown Malicious Microsoft Office Documents Using Designated Active Learning Methods Based on New Structural Feature Extraction Methodology," in IEEE Transactions on Information Forensics and Security, vol. 12, no. 3, pp. 631-646, March 2019, doi: 10.1109/TIFS.2016.2631905.
  11. Academic Journals and Conferences. Advances in Cyber-Physical Systems. Available at: https://science.lpnu.ua/acps (Accessed: 18/10/2024)