• 한국시스템다이내믹스연구
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• 제17권3호
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• pp.145-173
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• 2016

This study aims to develop strategic diagnosis framework of performance by identifying and analysing the dynamics of the technology commercialization ecosystem in innovative region. To achieve the purpose of this study, the systems thinking approach is used. The systems thinking approach connects feedback structure and behavior more explicitly to diagnosis vicious feedback loop in the regional technology commercialization ecosystem. In terms of an ecological point of view, it will be possible to explore dominant feedback structure and find leverages to overcome the limitations of regional technology commercialization performance. The diagnosis of reenforcing and balancing feedback structure is based on the statistical analysis of the survey data which has been collected in a cluster random sampling method, targeting on the 200 firm located in the Pangyo and Daeduk region. The results from this research showed that the regional technology commercialization ecosystem was immature and faced limit to the growth. An important finding of this study was that regional technology commercialization ecosystem need to activation of startups and reinforcement of virtuous feedback structures of technology commercialization market systems.

• International journal of advanced smart convergence
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• 제11권3호
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• pp.23-27
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• 2022

In this paper, we explore a new type of Android evasive malware based on the Sequential Probability Ratio Test (SPRT) that does not perform malicious task when it discerns that dynamic analyzer is input generator. More specifically, a new type of Android evasive malware leverages the intuition that dynamic analyzer provides as many inputs within a certain amount of time as possible to Android apps to be tested, while human users generally provide necessary inputs to Android apps to be used. Under this intuition, it harnesses the SPRT to discern whether dynamic analyzer runs in Android system or not in such a way that the number of inputs per time slot exceeding a preset threshold is regarded as evidence that inputs are provided by dynamic analyzer, expediting the SPRT to decide that dynamic analyzer operates in Android system and evasive malware does not carry out malicious task.

• 한국항해항만학회지
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• 제47권2호
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• pp.100-105
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• 2023

This study investigated determinants of stock betas of shipping companies in Korea. Beta is a measurement of sensitivity of an individual stock to the movement of the whole stock market. It is widely accepted that stock betas are not constant, but time-varying, which implies that they are affected by other factors. In this regard, this study examined betas of six shipping companies listed on the Korea Exchange for the period of 2000-2021 and their relationship with financial leverage, operating leverage, and cyclicality in the shipping market. Empirical analysis showed that betas of Korean shipping companies were positively associated with financial and operating leverages but negatively with cyclicality.

• The Journal of Asian Finance, Economics and Business
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• 제10권1호
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• pp.67-77
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• 2023

This study investigates the impact of corporate governance (defined as companies' ownership structure and board of directors' characteristics) on cash holdings in the context of Oman. This study leverages a quantitative panel pooled regression on a dataset of Omani non-financial firms from 2009-2015. The findings of this study are generally in line with the predictions of Agency Theory and Mentoring and Busyness Hypotheses. The analysis demonstrates that a large stockholder size has a significant positive relationship with cash holding. Meanwhile, a positive (but insignificant) relationship was also found between institutional ownership and cash holding. Furthermore, state ownership was found to exhibit a significant negative relationship with cash holding. In terms of the board of directors' traits, this study's findings suggest that board sizes have a positive (but insignificant) relationship with cash holding. Furthermore, busy and independent boards were found to have a significant positive relationship with cash holding. The above findings suggest that boards with such traits are less effective in providing oversight on managers' actions, which would then increase Omani non-financial firms' cash holdings.

• International Journal of Computer Science & Network Security
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• 제24권8호
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• pp.61-71
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• 2024

The dynamic nature of Online Social Networks (OSNs), especially on platforms like Twitter, presents challenges in identifying and responding to community attacks, particularly within Arabic content. The proposed integrated system addresses these challenges by achieving 91% accuracy in detecting real-time community event attacks while efficiently managing computational costs. This is accomplished through the use of specialized integrated approach clustering to detect both major and minor attacks. Additionally, the system leverages clustering algorithms, temporal modules, and social network graphs to identify events, map communities, and analyze online dynamics. An extensive parameter sensitivity analysis was conducted to fine-tune the algorithm, and the system's effectiveness was validated using a benchmark dataset, demonstrating substantial improvements in event detection.

• 한국CDE학회논문집
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• 제15권2호
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• pp.124-135
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• 2010

PLM(Product Lifecycle Management) is one of innovative manufacturing paradigms which leverages e-business technologies to allow a company's product content to be developed and integrated with all company business process through the extended enterprise. In these days, most construction companies also make an effort to enhance their systems for creating, sharing and managing information to improve business efficiency through entire lifecycle of project execution. Because of different needs, business process and diverse engineering activities such as design, structural analysis, installing simulation, documents and data managements, a new paradigm for construction companies is needed to manage and share the entire workflow, and information in total project lifecycle. In this paper, we conducted user requirement and business process analysis of constructions to design C-PLM system which is a PLM system for effective management of civil project and engineering activities. Also, we implement C-PLM system based on commercial PDM system, and applied it to civil project as case studies.

• 한국전산구조공학회:학술대회논문집
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• 한국전산구조공학회 2008년도 정기 학술대회
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• pp.253-258
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• 2008

PLM(Product Lifecycle Management) is one of innovative manufacturing paradigms which leverages e-business technologies to allow a company's product content to be developed and integrated with all company business process through the extended enterprise. In these days, most construction companies also make an effort to enhance their systems for creating, sharing and managing information to improve business efficiency through entire lifecycle of project execution. Because of different needs, business process and diverse engineering activities such as design, structural analysis, installing simulation, documents and data managements, a new paradigm for construction companies is needed to manage and share the entire workflow, and information in total project lifecycle. In this paper, we conducted user requirement and business process analysis of the construction to design architecture of C-PLM(Construction Project Lifecycle management) and implement a prototype of C-PLM systems based on commercial PDM system.

• 한국시스템다이내믹스연구
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• 제3권1호
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• pp.5-42
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• 2002

The main purpose of this paper is analyzing long-term growth possibility of a telecommunication Company (Telco) H. First of all, to achieve this purpose, the precise understanding about causal relations among growth and decay factors of Telco H is required. Based upon the causal analysis, a basic computer simulation model is developed. Finally, several predictive examinations about growth possibility and pattern of the Telco H are conducted using three scenarios. From simulation results, the most important policy leverages are capabilities of market share sustenance, improvement of service quality and squeezing current network facility to elevate profitability and efficiency. Recently, telecommunication industry has become more and more competitive due to introduction of Internet and deregulation. Internet has brought about global competition as well as confusion between telecommunication and broadcasting industries. At the almost same time, deregulation is a universal tendency and a catalyst of unlimited competition. Telco H has been a dominant company in Korea for last century. However, the dominant position of Telco H has been threatened by the change of competition environment. The competitive environment has many elements and keeps changing dynamically. Therefore, System Dynamics simulation methodology is adopted to examine the problem.

• Journal of Computing Science and Engineering
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• 제10권3호
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• pp.75-84
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• 2016

Medical cyber-physical systems (MCPS) integrate sensors, actuators, and software to improve patient safety and quality of healthcare. These systems introduce major challenges to safety analysis because the patient's physiology is complex, nonlinear, unobservable, and uncertain. To cope with the challenge that unidentified physiological parameters may exhibit short-term variances in certain clinical scenarios, we propose a novel run-time predictive safety monitoring technique that leverages a maximal model coupled with online training of a computational virtual subject (CVS) set. The proposed monitor predicts safety-critical events at run-time using only clinically available measurements. We apply the technique to a surgical glucose control case study. Evaluation on retrospective real clinical data shows that the algorithm achieves 96% sensitivity with a low average false alarm rate of 0.5 false alarm per surgery.

• 스마트미디어저널
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• 제12권2호
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• pp.36-41
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• 2023

지원자 추적 시스템의 등장으로 온라인 채용이 활성화되면서 채용 사기가 심각한 문제로 대두되고 있다. 이 연구는 온라인 채용 환경에서 채용 사기를 탐지할 수 있는 신뢰할 수 있는 모델을 개발하여 비용 손실을 줄이고 개인 사생활 보호를 강화하고자 한다. 이 연구의 주요 기여는 데이터를 탐색적으로 분석하여 얻은 통찰력을 활용하여 어떤 채용 정보가 사기인지, 아니면 합법적인지를 구분할 수 있는 자동화된 방법론을 제공하는데 있다. 캐글에서 제공하는 채용 사기 데이터 집합인 EMSCAD를 사용하여 다양한 단일 분류기 및 앙상블 분류기 기반 머신러닝 모델을 훈련하고 평가하였으며, 그 결과로 앙상블 분류기인 랜덤 포레스트 분류기가 정확도 98.67%, F1 점수 0.81로 가장 좋은 결과를 보이는 것을 알 수 있었다.