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스마트폰의 사용이 증가함에 따라 스마트폰은 범죄 사건과 연관된 직/간접적 디지털 증거를 처리 ․ 보관하는 중요한 매개체가 되었다. 그러나 스마트폰 운영체제 자체에서 제공하는 잠금 기능을 사용하거나 앱마켓 등에서 쉽게 다운 받을 수 있는 잠금 기능의 어플을 사용하는 경우 특정 파일에 대한 은닉, 암호화 또는 특정 어플 실행 방지 등 디지털 증거를 부정(Anti-Forensic) 할 수 있게 되어 관련 증거를 수집 ․ 처리하는데 있어 어려움을 겪을 수 있다 따라서 본 논문에서는 현재 스마트폰 시장에서 높은 점유율을 확보하고 있는 안드로이드 OS기반 스마트폰에서 각종 잠금 기능을 사용할 때 설정하는 비밀번호에 대한 저장 방식과 획득 방법을 연구한다. 이러한 연구를 통해 스마트폰에서 보관되는 디지털증거에 대한 수집 ․ 처리를 용이하게 하고, 스마트폰에서 확보한 비밀번호를 이용하여 스마트폰 사용자의 다른 디지털 기기의 접근 제어 암호 해독 또는 암호화된 파일을 해독하는데 도움이 될 것으로 기대한다. Since the use of smartphone increased, smartphone has become a very important medium that handles or archives digital evidence, which may be directly or indirectly related to a criminal case. However, it may be difficult to collect and process relevant evidence in case of using the lock function provided by the smartphone OS or an application easily downloaded from the App Market, since such function enables anti-forensic techniques that conceal or encrypt certain files or block the execution of an application. Therefore, this study is about examiing methods of collecting and archiving passwords required for using various lock functions in Android OS smartphones. This study is to facilitate the process and collection of digital evidence archived in smartphone and to help decipher an encrypted file or a password needed for a user to control the access to other digital devices.
조재완 ( Jae Wan Cho ), 서강석 ( Kang Suk Seo ), 이미진 ( Mi Jin Lee ), 박정배 ( Jung Bae Park ), 김종근 ( Jong Kun Kim ), 류현욱 ( Hyun Wook Ryoo ), 안재윤 ( Jae Yun Ahn ), 문성배 ( Sungbae Moon ), 이동언 ( Dong Eun Lee ), 김윤정 ( Yun Je) 대한응급의학회 2018 大韓應急醫學會誌 Vol.29 No.4
Objective: A massive transfusion (MT) of 10 or more units of packed red blood cells (PRCs) focuses on the summation volumes over 24 hours. This traditional concept promotes survivor bias and fails to identify the “massively” transfused patient. The critical administration threshold (≥3 units of PRCs per hour, CAT+) has been proposed as a new definition of MT that includes the volume and rate of blood transfusion. This study examined the CAT in predicting mortality in adult patients with severe trauma, compared to MT. Methods: Retrospective data of adult major trauma patients (age≥15 years, Injury Severity Score [ISS]≥16) from a regional trauma center collected between May 2016 and June 2017 were used to identify the factors associated with trauma-related death. Univariate associations were calculated, and multiple logistic regression analysis was performed to determine the parameters associated with in-hospital mortality. Results: A total of 540 patients were analyzed. The median ISS was 22, and the hospital mortality rate was 30.9% (n=92). Fortytwo (7.8%) and 23 (4.3%) patients were CAT+ and traditional MT+, respectively. Severe brain injury, CAT+, acidosis, and elderly age were significant variables in multivariate analysis. CAT+ was associated with a fourfold increased risk of death (odds ratio, 4.427; 95% confidence interval, 1.040-18.849), but MT+ was not associated (odds, 1.837; 95% confidence interval, 0.376-8.979). Conclusion: The new concept of CAT for transfusion was a more useful validation concept of mortality in adult severe trauma patients on admission than traditional MT. Encompassing both the rate and volume of transfusion, CAT is a more sensitive tool than common MT definitions.
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In this study, we developed the Field-Experiential Learning Framework Using the Location Based Mobil-learning System (LBMS) and it is mobile Augmented Reality (AR) for smart learning system which is advanced e-learning. AR is technology that seamlessly overlays computer graphics on the real world. LBMS-AR has become widely available because of mobile AR. Mobile AR is possible to get information from real world anytime, anywhere. Nowadays, there are various areas using AR such as entertainment, marketing, location-based AR. We analysed the result of survey and implemented the functions. Also, for survey about application s effectiveness, we have focus group interview (FGI). Then we demonstrated and explained the application to them. The result of survey about application s effectiveness shows that application have higher utilization in education area. One of the most promising areas is education. AR in education shows lifelike images to users for realism. It s a good way for improving concentration and attention. We utilize only a beacone for image-based AR without other sensor.
High-efficiency and high-quality machining has become a fact of life for numerous machine shops in recent years. And high-efficiency machining is the most significant tool to enhance productivity. In this study, to achieve high-efficiency machining in turning process, a spindle speed optimization method was proposed based on a cutting power model. The cutting force and power were estimated from the cutting parameters such as specific cutting force, feed, depth of cut, and spindle speed. The time delay due to the acceleration or deceleration of spindle was considered to predict a more accurate machining time. Especially, the good agreement between the predicted and measured cutting forces showed the reliability of the proposed optimization method, and the effectiveness of the proposed optimization method was demonstrated through the simulation results associated with the productivity enhancement in turning process.
High-efficient machining, which means cutting a part in the least amount of time, is the most effective tool to improve productivity. In this study, a new feed optimization method based on the cutting power regulation was proposed to realize the high-efficient machining in turning process. The cutting area was evaluated by using the Boolean intersection operation between the cutting tool and workpiece. And the cutting force and power were predicted from the cutting parameters such as feed, depth of cut, spindle speed, specific cutting force, and so on. Especially, the reliability of the proposed optimization method was validated by comparing the predicted and measured cutting forces. The simulation results showed that the proposed optimization method could effectively enhance the productivity in turning process.