• Proceedings of the Korea Information Processing Society Conference
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• 2007.11a
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• pp.399-402
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• 2007

다양하게 개발되는 정보시스템은 지속가능경영을 위한 서비스 인프라로 그 중요성이 날로 높아지고 있다. 이에 따라 새롭게 개발된 시스템을 얼마나 신속하게 전파하고 공유하여 조직 경쟁력을 향상시킬 것인가가 생존의 기본 조건이 된 것이다. 그러나, 전파 및 공유 도구로서의 콘텐츠 수준은 단순한 매뉴얼 또는 Help 메뉴 형태로 획일적으로 제공되어 단기간 내 조직 확산에는 한계가 있다. 이를 해결하기 위해 콘텐츠의 활용도를 극대화 할 수 있는 새로운 콘텐츠 개발 요구 정의 방법이 제시되어야 할 필요가 있다. 본 논문에서는 개발된 정보 시스템의 조직 전개를 위해 필요한 콘텐츠를 개발함에 있어 업계에 널리 활용되고 있는 스토리 기반 또는 전통적 콘텐츠 개발 방법의 한계를 극복하기 위하여 요구분석 시 Blue Ocean 전략과 6 Sigma 방법론을 결합한 시스템 개발 BORE Process를 콘텐츠 개발에 적합하게 변경한 Value innovative Requirements Engineering for Contents 프로세스로 제안하고, 콘텐츠 개발에 적용한 후, 그 결과의 유효성을 입증하기 위하여 공인된 기관의 콘텐츠 평가 결과를 제시한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2024.05a
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• pp.216-217
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• 2024

최근 클라우드 컴퓨팅 인프라 및 소프트웨어의 지속적인 발전으로 인한 복잡성 증가로 인해 신속한 확장성과 유연성에 대한 요구가 증가하고 있다. 이에 클라우드 네이티브 환경과의 호환성뿐만 아니라 개발과 운영의 효율성을 높이고자 코드로 인프라를 정의하여 자동화된 환경을 구축해 주는 코드형 인프라(Infrastructure as Code, IaC) 기술이 주목받고 있으며, AWS CloudFormation 은 대표적인 솔루션 중 하나이다. 그러나 IaC 형태로 배포되는 템플릿에 취약성이 존재할 경우, 인스턴스가 실행되기 전까지 보안 취약점을 미리 발견하기 어려워 DevOps 사이클에서의 보안 이슈를 야기할 수 있다. 이에 본 논문은 CloudFormation 템플릿의 보안 취약성 스캔이 가능하다고 알려진 오픈 소스 도구의 효율성을 평가하기 위한 사례 연구를 수행한다. 분석 결과를 바탕으로, DevSecOps 달성을 위한 IaC 기반 환경에서 취약성 사전 탐지의 필요성과 세분화된 접근 방식을 제시하고자 한다.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.32 no.5
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• pp.945-954
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• 2022

Billions of malicious codes are detected every year, of which only 0.01% are new types of malware. In this situation, an effective malware type classification tool is needed, but previous studies have limitations in quickly analyzing a large amount of malicious code because it requires a complex and massive amount of data pre-processing. To solve this problem, this paper proposes a method to classify the types of malicious code based on the similarity hash without complex data preprocessing. This approach trains the XGBoost model based on the similarity hash information of the malware. To evaluate this approach, we used the BIG-15 dataset, which is widely used in the field of malware classification. As a result, the malicious code was classified with an accuracy of 98.9% also, identified 3,432 benign files with 100% accuracy. This result is superior to most recent studies using complex preprocessing and deep learning models. Therefore, it is expected that more efficient malware classification is possible using the proposed approach.

• Journal of Nutrition and Health
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• v.42 no.2
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• pp.119-127
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• 2009

Malnutrition of hospitalized patients can adversely affect clinical outcomes and cost. Several nutritional screening tools have been developed to identify patients with malnutrition risk. However, many of those possess practical pitfalls of requiring much time and labor to administer and may not be highly applicable to a Korean population. This study sought to develop and evaluate a Nutrition Risk Screening Tool (NRST) which is simple and quick to administer and widely applicable to Korean hospitalized patients with various diseases. The study was also designed to generate a screening tool predictable of various clinical outcomes and to validate it against the Nutritional Risk Screening 2002 (NRS 2002). Electronic medical records of 424 patients hospitalized at a general hospital in Seoul during a 14-month period were abstracted for anthropometric, medical, biochemical, and clinical outcome variables. The study employed a 4-step process consisting of selecting NRST components, searching a scoring scheme, validating against a reference tool, and confirming clinical outcome predictability. NRST components were selected by stepwise multiple regression analysis of each clinical outcome (i.e., hospitalization period, complication, disease progress, and death) on several readily available patient characteristics. Age and serum levels of albumin, hematocrit (Hct), and total lymphocyte count (TLC) remained in the last model for any of 4 dependent variables were decided as NRST components. Odds ratios of malnutrition risk based on NRS 2002 according to levels of the selected components were utilized to frame a scoring scheme of NRST. A NRST score higher than 3.5 was set as a cut-off score for malnutrition risk based on sensitivity and specificity levels against NRS 2002. Lastly differences in clinical outcomes by patients' NRST results were examined. The results showed that the NRST can significantly predict the in-hospital clinical outcomes. It is concluded that the NRST can be useful to simply and quickly screen patients at high-nutritional risk in relation to prospective clinical outcomes.

• Korean Journal of Cognitive Science
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• v.11 no.1
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• pp.1-8
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• 2000

Most of the important visual information is presented to driver through the display panel that is related to the vehicle. If display panel is designed with the c consideration of driver's visibility, drivers can get broad visual field and visual I information related to vehicle promptly and exactly during driving situation. Therefore display panel has direct relationship with the driver's task performance and it can be considered as an important device that affects the driver-automotive interaction. Many r researches about shape, characteristic and color of display panel have been performed, but not sufficient in this country Nowadays most of vehicles has an analog type display. but its shape and arrangement a are various without any definite standards about position. Therefore. experiments using evaluation tool (VISVEC System) were conducted to inquire the driver's preference on the major objects arrangement of display panel (speedometer. tachometer. fuel meter. and t thermometer) and to ascertain the factors that have an effect on drivers according to the objects position of the display panel The experiment results showed that there was no correlation between the arrangement c characteristics preferred by subjects and the cognitive accuracy but the cognition of V visual information more easy when the each major object has its area.

• Journal of Digital Convergence
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• v.19 no.2
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• pp.93-103
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• 2021

S&OP(Sales and Operations Planning) is an ongoing process of periodic planning, reviewing, and evaluation through the involvement of all key stakeholders. Within this process, performance is regularly reviewed and early warning signals are generated, so that the company can react quickly to changing market and operational environment. This paper presents a framework for effective S&OP for fair alignment, accountability, teamwork, visibility, and risk management. This framework focuses on supply chain information governance, level of information sharing through S&OP, role of S&OP as coordination mechanism, APS effectivesness as a planning tool and SCM performance. In addition, a brief case study on the operating characteristics of S&OP at three Korean firms is presented. Implications of the study finding are also provided. It will also make companies that are considering the introduction of S&OP aware of the importance of S&OP, which will provide practical guidelines for the introduction of S&OP.

• The Journal of Dong Guk Oriental Medicine
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• v.8 no.2
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• pp.25-46
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• 2000

Pain can be evaluated by experimental methods and clinical methods, but due to subjective characteristics of pain, clinical methods are generally used. The clinical pain measurement tools are divided into unidimensional and multidimensional assessment tools. The former include Visual Analogue Scale, Verbal Rating Scale, Numerical Rating Scale, Pain Faces Scale, and Poker Chip Tool and the latter include McGill Pain Questionnaire, MMPI, Pain Behavior Scale, Pain disability index, and Pain Rating Scale. Unidimensional pain scales mainly measure the intensity of pain on the basis of the patient's self report and their simple construction and ease of use enable the invesgator to assess acute pain. Multidimensional pain scales are used to evaluate subjective, psychological and behavioral aspects of pain and because of its comprehensive and confidential properties they are applied to chronic pain. Patient's linguistic and cognitive abilities are major factors to restrain accurate assessment of pain. Although behavioral patterns and vital sign are inferior to self-report in the measurement of pain, they can be useful indexes in those situations. When deciding on a pain-assessment tool, the investigator must determine which aspect of pain he or she wishes to evaluate on the characteristics of the group of patients, their backgrounds, and their communication skills. Making the proper choice will facilitate the acquisition of meaningful data and the formulation of valid conclusions.

• Journal of the Korean Geographical Society
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• v.43 no.6
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• pp.961-980
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• 2008

It is usual to prioritize the blocks to rearrange residential environment by the responsible officer's intuition or a few specialist's experienced knowledge. The aim of this research was to evaluate rebuilding priority in the context of spatially weighted framework integrating resident's view. The spatial weighting for the variables related to evaluation of dwelling environment was derived from AHP (Analytic Hierarchy Process) approach through the analysis of resident's view. An empirical study for a case study site has been conducted to confirm the validity for the spatial weighting. The spatial weighting has frequently influenced in changing the rebuilding priority and was identified as the important predictor for the improvement sites of dwelling environment. The spatially weighted analysis made it possible to identify area-wide patterns of rebuilding priority area subject to many different type of thematic variables, which cannot be acquired by traditional field sampling. The spatially weighting derived by integrating various formats of spatial data into a comprehensive GIS database in particular, was ideally suited to displaying the objective distribution patterns for rebuilding priority. The result of this study would play a crucial role in dealing with public complaints for rebuilding priority since it could provide objective evidences in accordance with spatial weighting.

• Journal of Food Hygiene and Safety
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• v.35 no.6
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• pp.607-617
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• 2020

Human bio-monitoring (HBM) data is a very important resource for tracking total exposure and concentrations of a parent chemical or its metabolites in human biomarkers. However, until now, it was difficult to execute the integration of different types of HBM data due to incompatibility problems caused by gaps in study design, chemical description and coding system between different sources in Korea. In this study, we presented a standardized code system and HBM knowledge model (KM) based on relational database modeling methodology. For this purpose, we used 11 raw datasets collected from the Ministry of Food and Drug Safety (MFDS) between 2006 and 2018. We then constructed the HBM database (DB) using a total of 205,491 concentration-related data points for 18,870 participants and 86 chemicals. In addition, we developed a summary report-type statistical analysis program to verify the inputted HBM datasets. This study will contribute to promoting the sustainable creation and versatile utilization of big-data for HBM results at the MFDS.

• KIPS Transactions on Software and Data Engineering
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• v.1 no.3
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• pp.149-158
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• 2012

As service-oriented software is considered as one of solutions to fulfill the users' needs in internet service environment, it has been increased the demands of reliable service development by the composition of internet services. However a critical issue in the service development approach is to satisfy the performance requirement as well as the functional correctness for the developing services, because impatient user multiply clicks the request-button of service without a short waiting. This paper proposes a framework to examine the performance of composite service. Our testing framework provides the data of service response time to service developer by measuring the service execution time. We develope an Aspect-based timer service, and weave the service with existing services to measure the execution time. Additionally, we perform some experiments to confirm the usefulness of performance test for composite service. This framework can support to develop a good performance service by substitution of the dragging service with another new service that will be a component of composite service.