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Aspect-Based Comparative Summarization with Large Language Model
Yunseok Kang, Jaeseok Lee, Jaewoong Choi, Jaekoo Lee
http://doi.org/10.5626/JOK.2025.52.7.587
We proposed a strategy to mitigate the VRAM(Video Random Access Memory) shortage problem encountered when applying 3D Gaussian Splatting in large-scale 3D mapping environments derived from drone footage. To efficiently manage large scale scenes, we partitioned input data, optimized each partition independently, and subsequently merged optimized scenes. Additionally, we introduced a technique to augment point data by considering specific characteristics of drone-captured footage during the optimization process. As a result, our method reduced VRAM usage by two-thirds compared to previous studies, while achieving a 2.5% average improvement in quality as measured by PSNR(Peak Signal-to-Noise Ratio). Our approach emphasizes enhancing the accuracy and quality of 3D reconstructions while minimizing VRAM consumption.
A Study on the Architecture of Cyber Public Information Forensic Tools for Investigation to Obtain the Court Evidence Ability
Jeongho Lee, Minchang Kang, HyunSeok Kang, Jaehoon Jang, Homook Cho
http://doi.org/10.5626/JOK.2022.49.6.494
Although recent development in Internet technology has brought many benefits to our lives, numerous dysfunctions, such as Internet-based cybercrime, have also increased. In order to effectively investigate such Internet-based cybercrime, it is essential to collect, store, and process cyber public information from a digital forensics perspective. However, related laws, such as the current Criminal Procedure Act, have not yet explicitly stipulated cyber public information forensics, or deletion of the original data, may also be one of the reasons for this occurrence. In this paper, we propose a novel architecture in processing and disclosing cyber information forensics tool for investigation to secure the legal evidence capability of cyber disclosure information collected between effective investigations and investigations of cybercrime. We also present a technical approach from a digital forensics perspective to demonstrate the integrity, identity, reproducibility, and authenticity of digital evidence to be observed while collecting and storing cyber disclosure information using the proposed tool.
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