• Journal of the Korea Computer Industry Society
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• v.7 no.4
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• pp.447-454
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• 2006

Imbecility, Parkinson's disease, the brain disease occurrence rate such as motor nerve disease are increasing rapidly since 1980 years, according to the Britain, the United States of America, Japan, Germany, result that investigate the spanish occurrence rate, was expose that imbecility mortality including Alzheimer's disease increased more than man case 3 triple and man and woman of brain disease mortality increases by about 50% with Parkinson's disease and motor nerve disease. <중략> first of all, courtesy call is important. So that can find out danger benevolence and occurrence danger at early stage, person arranged brain vein because examination does special Quality examination and modelling Tuesday embodying possible Cerebrovascular Ultrasonogram (brain vein supersonic waves) and prove excellency of performance from time to time. Is going to apply to brain disease patient of other disease if supplement system hereafter, and this research tried to study special quality that standardization is not producing poetic theme width directly and approach.

• Journal of the Korean Institute of Gas
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• v.15 no.2
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• pp.69-74
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• 2011

As a way to propose a method for the establishment of practical damage-minimizing plan for chemical plants, the release scenario was established by using API-581 BRD and the effect zone was estimated by the KS-RBI program supporting the quantitative cause analysis. And the risk assessment was performed. As a result, we found that to minimize the damage of a chemical plant, it is effective to use four release hole diameters (small, medium, large and rupture) and release time estimated according to the classes of detection and isolation systems. In addition, it can be safely said that through appling the damage areas considering weighted average by failure frequency and worst-case simultaneously, industrial sites can come up with the effective emergency response plan.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.270-272
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• 2022

Safety is one of the factors that prevent clinical drugs from being distributed on the market. In the case of neurotoxicity, which is the main cause of safety problems caused by drug side effects, risk assessment of drugs and compounds is required in advance. Currently, experiments for testing drug safety are based on animal experimetns, which have the disadvantage of being time-consuming and expensive. Therefore in order to solve the above problem, a neurotoxic prediction model through an in silico experiment was suggested. In this study, the category of neurotoxicity was expanded using a unified medical language system and various related compound data were obtained based on an integrated database. The SMILES (Simplified Molecular Input Line Entry System) of the obtained compounds were converted into fingerprints and it is used as input of machine learning. The model finally predicts the presence or absence of neurotoxicity. The experiment proposed in this study can reduce the time and cost required for the in vivo experiment. Furthermore, it is expected to shorten the research period for new drug development and reduce the burden of suspension of development.

• Journal of the Korea institute for structural maintenance and inspection
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• v.20 no.4
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• pp.1-8
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• 2016

Recently, buildings tend to be large size, complex shape and functional. As the size of buildings is becoming massive, the need for structural health monitoring(SHM) technique is ever-increasing. Various SHM techniques have been studied for buildings which have different dynamic characteristics and are influenced by various external loads. Generally, the visual inspection and non-destructive test for an accessible point of structures are performed by experts. But nowadays, the system is required which is online measurement and detect risk elements automatically without blind spots on structures. In this study, in order to consider the response of non-linear structures, proposed a signal feature extraction and the adaptive threshold setting algorithm utilized to determine the abnormal behavior by using statistical methods such as control chart, root mean square deviation, generalized extremely distribution. And the performance of that was validated by using the acceleration response of structures during earthquakes measuring system of forced vibration tests and actual operation.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.05a
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• pp.666-668
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• 2013

Recently, the kind and number of malicious code, which operates in Operation System of smart devices, are rapidly increasing along with the fast supplement of smart devices. Especially, smart devices based on Android OS have high potential of danger to expose to malicious code as it has an easy access to system authority. When using intent, the global message system provided from Android, inter approach between applications is available, and possible to access to created data by the device. Intent provides convenience to application development in the aspect of reusability of component however, it could be appointed as a risk element in security-wise. Therefore, if intent is used in malicious purpose, it is easy to lead the condition where is weak on security. That is, it is possible to control as accessing to resources which application is carrying to operate by receiving intents as making smart device uncontrollable or consuming system resources. Especially, in case of system authority is achieved, the risks such as smart device control or personal information exposure become bigger when misusing broadcast intent through malicious code. This paper proposes a corresponding method of security vulnerability of Android intent that monitors the appearance of intent with intent pattern inspection, detects and blocks unidentified pattern intent.

• The Bulletin of The Korean Astronomical Society
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• v.35 no.1
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• pp.45.2-45.2
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• 2010

한국천문연구원은 한국우주전파관측망(Korean VLBI Network, KVN)에서 시험 운영 중인 한일공동VLBI상관기(Korea-Japan VLBI Correlator, KJJVC)의 핵심인 VLBI상관 서브시스템(VLBI Correlation Subsystem, VCS)을 제어하기 위해 CCS(Correlation Control Software)를 개발하였다. CCS는 명령어의 문법 검사를 하고, VCS와 TCP/IP 소켓으로 통신하여 명령어와 응답(reply)을 주고받으며, VCS의 실시간 요청에 대응하여 입력 지연 파라미터(delay parameter)를 자동으로 전달하는 소프트웨어이다. CCS는 사용자의 명령어를 local UNX FIFO를 통하여, 명령줄(Command Line)로 전달받고, 이러한 명령어들의 조합을 쉘 스크립트로 묶는 형태로 구성 되어있다. 그러나, 이렇게 명령어의 조합을 직접 편집하여 구성할 때, 입력할 명령어나 지연 파라미터의 구성이 복잡해지면, 스크립트에 필요한 명령이 문법에 맞지 않게 사용되거나, 일부 명령어가 누락될 수 있는 위험이 있다. 이러한 오류를 차단하고 작업 효율을 높이기 위하여, 상관 처리의 전체 운용 및 제어를 통합적으로 할 수 있는 사용자 인터페이스가 필요하다. 이를 위하여 KJJVC의 운용 및 제어를 위한 GUI를 설계하고 제작하였다. 개발된 GUI는 Python 언어를 기반으로 하는 wxPython 패키지를 사용하였으며, 사용자(Operator)가 명령어 문법이나 순서를 확인할 필요 없이, 관측 정보와 관측국 정보, 기록 매체 정보만 가지고 손쉽게 명령어의 조합을 생성해 주며, 시스템 초기화와 각종 정보의 입력이 직관적으로 이루어질 수 있도록 해 준다. 본 연구에서는 개발된 GUI의 설계 및 개발 과정과 시험운영에 대해 소개한다.

• Journal of the Korean Society of Safety
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• v.22 no.6
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• pp.35-40
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• 2007

As a way of improving the safety of the chemical facilities, the risk based-inspection(RBI) was executed for the facilities of the applied petrochemical plant using KS-RBI Ver. 3.0 program developed based on the API-581 based resource document(BRD). From an evaluation result of KS-RBI program, we could find the evaluation of the process safety management(PSM) for the applied plant, risk of the applied process, risk of static facilities and pipes, and the demage mechanism of the facilities. Also, we could suggest a proper inspection plan(frequency and method of inspection) using the calculated risk and the status of the facilities. Therefore, the applied plant could be achieved a reduced inspection cost by an extension of inspection frequency, improved productivity, improved reliability of the facilities, and a computerized history management.

• Korean Journal of Clinical Laboratory Science
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• v.55 no.4
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• pp.291-297
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• 2023

Gastritis is an inflammation of the gastric mucosa and gastric ulcers are a break in the mucosa of the stomach lining. Past research on gastritis and gastric ulcers has been mainly conducted from the perspective that environmental factors are the primary cause of these gastric diseases. However, recently the importance of genetic factors has been emphasized due to current developments in genetic research. The SLC25A26 gene is believed to be associated with the accumulation of reactive oxygen species. Oxidative stress promotes an inflammatory response, which increases the production of free radicals and causes cellular damage, and these lead to the development of gastric diseases. In this study, the correlation between SLC25A26 and gastric diseases was analyzed. Polymorphisms in SLC25A26 were analyzed in 1,369 domestic gastric disease patients and 7,471 healthy controls. As a result, 11 single nucleotide polymorphisms (SNPs) (in the genotype) and 13 SNPs (in the imputation) showed statistical significance (P<0.05), and high relative risk of gastric diseases. Among them, the rs13874 allele of SLC25A26 showed a highly significant association with gastric diseases. In the genotype-based mRNA expression analysis, the minor allele (C) group showed increased mRNA expression and this could increase oxidative stress. In conclusion, SLC25A26 polymorphisms are associated with gastric diseases. These results may provide a basis for new guidelines for gastric disease management in the Korean population.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.27 no.6
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• pp.1467-1482
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• 2017

Recently, Interests on The Fourth Industrial Revolution has been increased. In the manufacturing sector, the introduction of Smart Factory, which automates and intelligent all stages of manufacturing based on Cyber Physical System (CPS) technology, is spreading. The complexity and uncertainty of smart factories are likely to cause unexpected problems, which can lead to manufacturing process interruptions, malfunctions, and leakage of important information to the enterprise. It is emphasized that there is a need to perform systematic management by analyzing the threats to the Smart Factory. Therefore, this paper systematically identifies the threats using the STRIDE threat modeling technique using the data flow diagram of the overall production process procedure of Smart Factory. Then, using the Attack Tree, we analyze the risks and ultimately derive a checklist. The checklist provides quantitative data that can be used for future safety verification and security guideline production of Smart Factory.

• Journal of agricultural medicine and community health
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• v.39 no.1
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• pp.25-36
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• 2014

Objectives: The objective of this study was to investigate the relationship between coronary artery calcification and risk factors of cardiovascular disease with multidetector computed tomography. Methods: Data were collected from 5,899 males between 30 and 59 years old by interview, survey, physical examination, blood test, and multidetector computed tomography in the university hospital from January 2010 to December 2011. We confirmed the coronary artery calcium scores of subjects by multidetector computed tomography and identified risk factors of cardiovascular disorders. We investigated the relationship between coronary artery calcification and risk factors of cardiovascular disorders. Results: Mean calcium score of the coronary arteries in 5,899 participants was 8.20, and 773 participants (13.1%) exhibited coronary artery calcification. The presence of coronary artery calcification was correlated to risk factors of cardiovascular disease (age, blood pressure, triglyceride, HDL cholesterol, LDL cholesterol, glucose, Apolipoprotein A-1, Apolipoprotein B, body mass index, waist circumference) and risk assessment tools of cardiovascular disorders. Significant predicted factors of coronary artery calcification had different patterns in each age group (30-39, 40-49, 50-59 years old). Conclusions: We confirmed the relationship between coronary artery calcification and either typical risk factors of cardiovascular disease or risk assessment tools of cardiovascular disease. In addition, we also observed that the pattern of these factors varied according to age. Therefore, age-related variation needs to be considered in management strategies to prevent cardiovascular disease.