디지털 증거물의 법적능력 확보를 위한 정보감사용 e-Forensic 툴 연구

Seungyong Kim,Gyeongyong Kim,Incheol Hwang,Dongsik Kim 한국재난정보학회 2017 한국재난정보학회 논문집 Vol.13 No.2

본 연구는 재해현장에서 발생한 다양한 형태의 디지털 증거물을 채집・분석하는데 있어 디지털 포렌식 기법에 입각하여 효율적으로 재해 현장 디지털 데이터를 채증할 수 있는 e-Forensic 툴 개발에 관한 것이다. 현장에서 채집한 다양한 디지털 증거물이 법적 증거물로 채택되기 위해서는 디지털 증거물이 위변조가 없는 원본과 동일한 상태임을 입증해야만 하는데 이를 본 e-Forensic툴을 이용하여 검증하였다. 이 툴을 활용하면, 현장 수사 중 디지털 파일을 증거로 수집하는 경우에 현장에서 바로 해시값을 생성, 암호화된 디지털 파일에 부가함으로써 디지털 파일의 원본과 사본의 동일성을 보장하고 현장 증거의 무결성을 향상시킬 수 있는 효과가 있음을 증명하였다. This research is about the development of e-forensic tool that extract & analyze different forms of digital evidence that individuals come across in a disaster scene. The tool utilizes digital forensic techniques which makes the tool efficient in any disaster analysis situation. In order for the forensic evidence to be selected as legal evidence, the evidence needs to be proven that it is in its original state with no forgery involved. This is where the e-forensic tool comes in, as its ability to collect digital evidence during investigation has proven; that the tool can keep the evidence in its original state and increase the integrity by generating hash TAG and adding the forensic evidence to a password encoded file.

IoT개념을 활용한 중증도 분류 시스템에 관한 연구

Kim, Seungyong,Kim, Gyeongyong,Hwang, Incheol,Kim, Dongsik 한국재난정보학회 2018 한국재난정보학회 논문집 Vol.14 No.1

본 연구에서는 재난현장 또는 일상에서 발생할 수 있는 다수사상자의 중증도 분류를 신속하고 정확하게 수행하기 위한 시스템을 설계하여 구현하였으며, 중증도 분류 알고리즘의 정확도뿐만 아니라 사용자 편의성 등 현장의 요구사항을 적극 반영하였다. 개발된 e-Triage System은 IoT개념을 활용하여 다양한 중증도 분류 알고리즘을 적용하였으며, 기존의 중증도 분류표의 단점을 극복하기 위하여 NFC 모듈 등 전자적 요소를 반영한 e-Triage Tag를 구현하였다. 앱으로 구현된 중증도 분류 알고리즘을 사용하여 신속하고 정확한 환자의 평가가 가능함을 입증하였고, 시인성을 위해 전자 중증도 분류 결과를 4가지 LED램프로 표출하였으며, 2차 분류를 통해 RTS 점수를 FND(Flexible Numeric Display)로 표출하였다. The following research has focused and implemented on designing a system that classifies the severity of mass casualty situations across both normal and disaster levels. The system's algorithm has implemented requirements such as accuracy as well as user convenience. The developed e-Triage System has applied various severity classification algorithms implemented from IoT concepts. In order to overcome flaws of currently used severity classification systems, the e-Triage System used electronic elements including the NFC module. By using the mobile application's severity classification algorithm the system demonstrated quick and accurate assessment of patient. Four different LED lamps visualized the severity classification results and RTS scores were portrayed through FND(Flexible Numeric Display) after a two wave classification.

디지털 증거물의 법적능력 확보를 위한 정보감사용 e-Forensic 툴 연구

Kim, Seungyong,Kim, Gyeongyong,Hwang, Incheol,Kim, Dongsik 한국재난정보학회 2017 한국재난정보학회 논문집 Vol.13 No.2

본 연구는 재해현장에서 발생한 다양한 형태의 디지털 증거물을 채집 분석하는데 있어 디지털 포렌식 기법에 입각하여 효율적으로 재해 현장 디지털 데이터를 채증할 수 있는 e-Forensic 툴 개발에 관한 것이다. 현장에서 채집한 다양한 디지털 증거물이 법적 증거물로 채택되기 위해서는 디지털 증거물이 위변조가 없는 원본과 동일한 상태임을 입증해야만 하는데 이를 본 e-Forensic툴을 이용하여 검증하였다. 이 툴을 활용하면, 현장 수사 중 디지털 파일을 증거로 수집하는 경우에 현장에서 바로 해시값을 생성, 암호화된 디지털 파일에 부가함으로써 디지털 파일의 원본과 사본의 동일성을 보장하고 현장 증거의 무결성을 향상시킬 수 있는 효과가 있음을 증명하였다. This research is about the development of e-forensic tool that extract & analyze different forms of digital evidence that individuals come across in a disaster scene. The tool utilizes digital forensic techniques which makes the tool efficient in any disaster analysis situation. In order for the forensic evidence to be selected as legal evidence, the evidence needs to be proven that it is in its original state with no forgery involved. This is where the e-forensic tool comes in, as its ability to collect digital evidence during investigation has proven; that the tool can keep the evidence in its original state and increase the integrity by generating hash TAG and adding the forensic evidence to a password encoded file.

Gender-related Difference in Alteration of Acetylcholinesterase Activity of Rats Exposed to Organophosphate Pesticide Terbufos

Kwon OhSeung,Kim HyoJoon,Ryu JaeChun,Kim JungRan,Kim SeungYong 대한약학회 2002 大韓藥學會 總會 및 學術大會 Vol.2002 No.1

IoT개념을 활용한 중증도 분류 시스템에 관한 연구

Seungyong Kim,Gyeongyong Kim,Incheol Hwang,Dongsik Kim 한국재난정보학회 2018 한국재난정보학회 논문집 Vol.14 No.1

본 연구에서는 재난현장 또는 일상에서 발생할 수 있는 다수사상자의 중증도 분류를 신속하고 정확하게 수행하기 위한 시스템을 설계하여 구현하였으며, 중증도 분류 알고리즘의 정확도뿐만 아니라 사용자 편의성 등 현장의 요구사항을 적극 반영하였다. 개발된 e-Triage System은 IoT개념을 활용하여 다양한 중증도 분류 알고리즘을 적용하였으며, 기존의 중증도 분류표의 단점을 극복하기 위하여 NFC 모듈 등 전자적 요소를 반영한 e-Triage Tag를 구현하였다. 앱으로 구현된 중증도 분류 알고리즘을 사용하여 신속하고 정확한 환자의 평가가 가능함을 입증하였고, 시인성을 위해 전자 중증도 분류 결과를 4가지 LED램프로 표출하였으며, 2차 분류를 통해 RTS 점수를 FND(Flexible Numeric Display)로 표출하였다. The following research has focused and implemented on designing a system that classifies the severity of mass casualty situations across both normal and disaster levels. The system’s algorithm has implemented requirements such as accuracy as well as user convenience. The developed e-Triage System has applied various severity classification algorithms implemented from IoT concepts. In order to overcome flaws of currently used severity classification systems, the e-Triage System used electronic elements including the NFC module. By using the mobile application’s severity classification algorithm the system demonstrated quick and accurate assessment of patient. Four different LED lamps visualized the severity classification results and RTS scores were portrayed through FND(Flexible Numeric Display) after a two wave classification.

네트워크 기반 실시간 제어 시스템을 위한 지연 보상기 개발

김승용(Seungyong Kim),김홍열(Hongryeol Kim),김대원(Daewon Kim) 대한전기학회 2004 대한전기학회 학술대회 논문집 Vol.2004 No.11

Antibacterial and Synergistic Effect of Edible Marine Seaweed against Enterococcus Species

SeungYong KIM,SungHwan EOM,MyungSuk LEE,YoungMog KIM 한국생물공학회 2014 한국생물공학회 학술대회 Vol.2014 No.10

Analysis of noise coupling from a power distribution network to signal traces in high-speed multilayer printed circuit boards

Kim, Jingook,Rotaru, M.D.,Baek, Seungyong,Park, Jongbae,Iyer, M.K.,Kim, Joungho IEEE 2006 IEEE transactions on electromagnetic compatibility Vol.48 No.2

As layout density increases in highly integrated multilayer printed circuit boards (PCBs), the noise that exists in the power distribution network (PDN) is increasingly coupled to the signal traces, and precise modeling to describe the coupling phenomenon becomes necessary. This paper presents a model to describe noise coupling between the power/ground planes and signal traces in multilayer systems. An analytical model for the coupling has been successfully derived, and the coupling mechanism was rigorously analyzed and clarified. Wave equations for a signal trace with power/ground noise were solved by imposing boundary conditions. Measurements in both the frequency and time domains have been conducted to confirm the validity of the proposed model.

Extended Use of Extracorporeal Membrane Oxygenation for Acute Respiratory Distress Syndrome: A Retrospective Multicenter Study

Kim, Won-Young,Park, SeungYong,Kim, Hwa Jung,Baek, Moon Seong,Chung, Chi Ryang,Park, So Hee,Kang, Byung Ju,Oh, Jin Young,Cho, Woo Hyun,Sim, Yun Su,Cho, Young-Jae,Park, Sunghoon,Kim, Jung-Hyun,Hong, Sa The Korean Academy of Tuberculosis and Respiratory 2019 Tuberculosis and Respiratory Diseases Vol.82 No.3

Background: Beyond its current function as a rescue therapy in acute respiratory distress syndrome (ARDS), extracorporeal membrane oxygenation (ECMO) may be applied in ARDS patients with less severe hypoxemia to facilitate lung protective ventilation. The purpose of this study was to evaluate the efficacy of extended ECMO use in ARDS patients. Methods: This study reviewed 223 adult patients who had been admitted to the intensive care units of 11 hospitals in Korea and subsequently treated using ECMO. Among them, the 62 who required ECMO for ARDS were analyzed. The patients were divided into two groups according to pre-ECMO arterial blood gas: an extended group (n=14) and a conventional group (n=48). Results: Baseline characteristics were not different between the groups. The median arterial carbon dioxide tension/fraction of inspired oxygen ($FiO_2$) ratio was higher (97 vs. 61, p<0.001) while the median $FiO_2$ was lower (0.8 vs. 1.0, p<0.001) in the extended compared to the conventional group. The 60-day mortality was 21% in the extended group and 54% in the conventional group (p=0.03). Multivariate analysis indicated that the extended use of ECMO was independently associated with reduced 60-day mortality (odds ratio, 0.10; 95% confidence interval, 0.02-0.64; p=0.02). Lower median peak inspiratory pressure and median dynamic driving pressure were observed in the extended group 24 hours after ECMO support. Conclusion: Extended indications of ECMO implementation coupled with protective ventilator settings may improve the clinical outcome of patients with ARDS.

HCCMeshes: Hierarchical‐Culling oriented Compact Meshes

Kim, Tae‐,Joon,Byun, Yongyoung,Kim, Yongjin,Moon, Bochang,Lee, Seungyong,Yoon, Sung‐,Eui Blackwell Publishing Ltd 2010 Computer Graphics Forum Vol.29 No.2

<P><B>Abstract</B></P><P>Hierarchical culling is a key acceleration technique used to efficiently handle massive models for ray tracing, collision detection, etc. To support such hierarchical culling, bounding volume hierarchies (BVHs) combined with meshes are widely used. However, BVHs may require a very large amount of memory space, which can negate the benefits of using BVHs. To address this problem, we present a novel hierarchical‐culling oriented compact mesh representation, <I>HCCMesh</I>, which tightly integrates a mesh and a BVH together. As an in‐core representation of the HCCMesh, we propose an i‐HCCMesh representation that provides an efficient random hierarchical traversal and high culling efficiency with a small runtime decompression overhead. To further reduce the storage requirement, the in‐core representation is compressed to our out‐of‐core representation, o‐HCCMesh, by using a simple dictionary‐based compression method. At runtime, o‐HCCMeshes are fetched from an external drive and decompressed to the i‐HCCMeshes stored in main memory. The i‐HCCMesh and o‐HCCMesh show 3.6:1 and 10.4:1 compression ratios on average, compared to a naively compressed (e.g., quantized) mesh and BVH representation. We test the HCCMesh representations with ray tracing, collision detection, photon mapping, and non‐photorealistic rendering. Because of the reduced data access time, a smaller working set size, and a low runtime decompression overhead, we can handle models ten times larger in commodity hardware without the expensive disk I/O thrashing. When we avoid the disk I/O thrashing using our representation, we can improve the runtime performances by up to two orders of magnitude over using a naively compressed representation.</P>