• Journal of Technology Innovation
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• v.31 no.2
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• pp.237-262
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• 2023

Digital transformation demands significant and foundational alterations in an organization's structure, processes, business strategy, and communication from a managerial perspective. However, one of the crucial prerequisites for a successful transition is the digital proficiency of its members. Students studying Management of Technology without a prior background in engineering face the difficult challenge of improving both their business management skills and digital competency within a limited time frame. For this reason, effective IT competency education methods are emerging as one of the educational issues in technology management. This paper showcases the IT-focused curriculum revision process of Sogang University's Graduate School of Management of Technology, along with the outcomes of its implementation thus far, as a demonstration of addressing the questions of "what to teach" and "how to teach" for students who could potentially become leaders in guiding the digital transformation. The purpose of this paper, specifically, is to offer a prior reference for the operation direction of effective programming education for students in Management of Technology graduate schools through a discussion on the feedback results of the required fundamental programming course which acts as both the starting point and entry hurdle.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.33 no.2
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• pp.211-222
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• 2023

Multivariate quadratic equations (MQ)-based public-key cryptographic algorithms are one of promising post-quantumreplacements for currently used public-key cryptography. After selecting to NIST Post-Quantum Cryptography StandardizationRound 3 as one of digital signature finalists, Rainbow was cryptanalyzed by advanced algebraic attacks due to its multiple layered structure. The researches on MQ-based schemes are focusing on UOV with a single layer. In this paper, we propose a new MQ-signature scheme based on UOV using the combinations of the special structure of linear equations, spare polynomials and random polynomials to reduce the secret key size. Our scheme uses the block inversion method using half-sized blockmatrices to improve signing performance. We then provide security analysis, suggest secure parameters at three security levels and investigate their key sizes and signature sizes. Our scheme has the shortest signature length among post-quantumsignature schemes based on other hard problems and its secret key size is reduced by up to 97% compared to UOV.

• Membrane Journal
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• v.33 no.2
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• pp.61-69
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• 2023

The technical importance of membrane-based artificial lung technology has been re-emphasized after the recent breakout of COVID-19 to treat acute lung-failure patients. The world population, particularly in Korea, is aging at an unprecedented rate, which can increase the demand for better artificial organs (AO) in the near future. Membrane technology plays a key role in artificial organ markets. Among them, membrane-based artificial lung (AL) technology has improved significantly in the past 50 years, but the survival rate of lung-failure patients is still very low. Most AL works focus on the clinical application of the AL device, not on the development of the AL membrane itself. This review summarizes the challenges and recent progress of membrane-based AL technology.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.392-392
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• 2021

자료동화(data assimilation) 기법은 관측 자료와 예측 모형의 정보를 동시에 활용, 모형의 상태량(state variables)이나 매개변수(model parameters)를 실시간으로 업데이트하는 Bayesian 필터링 이론에 근거한 방법으로, 최근 이를 활용한 수문 모의 정확도 향상 기술이 빠르게 발전하고 있다. 본 연구에서는 앙상블 자료동화의 정확성을 향상시키기 위한 세부 방법인 along-the-stream localization과 inflation 기법의 분포형 수문 모형에 대한 적용성을 대규모 지역 단위(regional-scale) 모의를 통해 검토한다. 분포형 수문모형과 자료동화 framework로는 WRF-Hydro(Weather Research and Forecasting Model Hydrological Modeling System)와 DART(Data Assimilation Research Testbed)를 각각 적용한다. WRF-Hydro는 미국의 전 대륙지역(CONUS; continental United States)에 대한 수문 모델링 framework인 National Water Model의 핵심엔진이고, DART는 미국 National Center for Atmospheric Research(NCAR) 연구소에서 개발한 범용 자료동화 도구이다. 본 연구에서는 지표수 수문모형의 자료동화를 위해 개발된 기법인 along-the-stream localization과 inflation 기법이 하도 추적에 미치는 영향을 분석한다. along-the stream localization 기법은 공간적 근접도 외에 하도의 수문학적 연관관계를 고려하는 localization 기법으로, 상대적으로 수문학적 상관도가 떨어지는 하도에 대한 과도한 자료동화를 줄여줄 수 있다. inflation 기법은 앙상블의 다양성을 증가시키는 기법으로, 칼만 필터(Kalman filter)에 의한 업데이트의 이전이나 이후 적용하여 앙상블 예측의 정확도를 추가적으로 향상시킬 수 있다. 본 고에서는 앙상블 자료동화 기법을 지표수 수문 모의에 적용할 경우 남아 있는 난제와 적용 가능한 방법에 대해 중점적으로 논의한다.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.62-62
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• 2022

홍수 예보를 위한 강우-유출 분석에서 정확한 예측 강우량 정보는 매우 중요한 인자이다. 이에 따라 강우 예측을 위하여 다양한 연구들이 수행되고 있지만 시·공간적으로 비균일한 특성 또는 변동성을 가진 강우를 정확하게 예측하는 것은 여전히 난제이다. 본 연구에서는 딥러닝 기반 ConvLSTM (Convolutinal Long Short-Term Memory) 모형을 사용하여 위성 강수 자료의 단기 예측을 수행하고 그 정확성을 분석하고자 한다. 대상유역은 메콩강 유역이며, 유역 면적이 넓고 강우 관측소의 밀도가 낮아 시·공간적 강우량 추정에 한계가 있으므로 정확한 강우-유출 분석을 위하여 위성 강수 자료의 활용이 요구된다. 현재 TRMM, GSMaP, PERSIANN 등 많은 위성 강수 자료들이 제공되고 있으며, 우선적으로 ConvLSTM 모형의 강수 예측 활용가능성 평가를 위한 입력자료로 가장 보편적으로 활용되는 TRMM_3B42 자료를 선정하였다. 해당 자료의 특성으로 공간해상도는 0.25°, 시간해상도는 일자료이며, 2001년부터 2015년의 자료를 수집하였다. 모형의 평가를 위하여 2001년부터 2013년 자료는 학습, 2014년 자료는 검증, 2015년 자료는 예측에 사용하였다. 또한 민감도 분석을 통하여 ConvLSTM 모형의 최적 매개변수를 추정하고 이를 기반으로 선행시간(lead time) 1일, 2일, 3일의 위성 강수 예측을 수행하였다. 그 결과 선행시간이 길어질수록 그 오차는 증가하지만, 전반적으로 3가지 선행시간 모두 자료의 강수량뿐만 아니라 공간적 분포까지 우수하게 예측되었다. 따라서 2차원 시계열 자료의 특성을 기억하고 이를 예측에 반영할 수 있는 ConvLSTM 모형은 메콩강과 같은 미계측 대유역에서의 안정적인 예측 강수량 정보를 제공할 수 있으며 홍수 예보를 위한 강우-유출 분석에 활용이 가능할 것으로 판단된다.

• Journal of the Korea Society of Computer and Information
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• v.28 no.11
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• pp.209-226
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• 2023

Cross-border e-commerce has emerged as a crucial force in stabilizing China's foreign trade, driving the transformation and upgrade of China's foreign trade, and contributing to global economic development and stability. As a result, promoting the high-quality development of cross-border e-commerce has become a common challenge within the Chinese industry. However, with the rapid growth of cross-border e-commerce, it faces new phenomena and challenges, such as a mix of quality, fierce competition, and price competition. Brands serve as distinguishing markers for identifying entities, and brand building is a prudent choice for achieving high-quality development in cross-border e-commerce. This article utilizes brand theory, employing a combined qualitative and quantitative approach, with a specific focus on key elements within the operations of cross-border e-commerce enterprises. Through an analysis of the key elements influencing the formation and development of brands within the internal operations of Chinese cross-border e-commerce enterprises, it investigates their internal formation mechanisms and assesses the significance of these critical factors in influencing brand formation. The research process is based on data from overseas consumers, conducting empirical analysis, ultimately providing certain guidance for brand development in cross-border e-commerce enterprises.

• Knowledge Management Research
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• v.24 no.3
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• pp.127-148
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• 2023

Traditional Business Intelligence environment is limited to support the rapidly changing businesses and the exponential growth of data in both volume and complexity of data. Companies should shift their business intelligence environment into Self-Service Business Intelligence (SSBI) environment in order to make smarter and faster decisions. However, firms seem to face various challenges in implementing and leveraging the effective business intelligence system, and academics do not provide sufficient studies related including the success factors of SSBI. This study analyzes the three cases of Korean companies in depth, their development process and the assessment of business intelligence, based on the theoretical model on the key success factors of business intelligence systems. The comparative analysis of the three cases including project managers' interviews and performance evaluations provide rich implications for the successful adoption and the use of business intelligence systems of firms. The study is expected to provide useful references for firms to fully leverage the effects of business intelligence systems and upgrade towards self-service business intelligence systems.

• Journal of Cadastre & Land InformatiX
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• v.53 no.2
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• pp.39-52
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• 2023

Cadastral maps are important official documents that affect property rights and have experienced issues due to over 100 years of usage. The accuracy of these old cadastral maps has decreased due to damage, wear, and the accumulation of errors during the rewriting process. These errors have persisted into the digitalization process, creating difficulties in map management. A nationwide project to revise cadastral and forest maps is underway, but there are technical and legal challenges in making corrections. This study addresses the technical aspects of map maintenance and proposes a method to reduce errors and improve maintenance rates by preceding with boundary adjustments. The results show that by preceding with boundary adjustments, the average distance discrepancy decreases from 22.56cm to 8.12cm, and the maintenance rate increases by more than 10%.

• Membrane Journal
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• v.34 no.2
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• pp.114-123
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• 2024

Hydrogen isotopes can be categorized into light hydrogen, heavy hydrogen, and tritium based on the number of neutrons, each of which is used in specific fields. Specifically, deuterium is of interest in the electronics industry, nuclear energy industry, analytical technology industry, pharmaceutical industry, and telecommunications industry. Conventional methods such as cold distillation, thermal cycling absorption processes, Girdler sulfide processes, and water electrolysis have their own advantages and disadvantages, leading to the need for alternative technologies with high separation and energy efficiency. In this context, membrane-based hydrogen isotope separation is one of the promising solutions to reduce energy consumption. In this review, we will present the state-of-the-art in hydrogen isotope separation using membranes and their operating principles. The technology for separating hydrogen isotopes using membranes is just beginning to be conceptualized, and many challenges remain to be overcome. However, if achieved, the economic benefits are expected to be significant. We will discuss future research directions for this purpose.

• Journal of Adhesion and Interface
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• v.24 no.3
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• pp.86-94
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• 2023

To fabricate all-solution-processed flexible Organic Light-Emitting Diodes (OLEDs), we demonstrated a bonding technology using a polyethyleneimine (PEI) as an adhesion layer between the two substrates. As the adhesion layer requires not only a high adhesion strength, but also a high current density, we have tried to find out the optimum condition which meets the two requirements at the same time by changing experimental factors such as PEI concentration, thickness of the layer and by mixing some additives into the PEI. The adhesion strength and the electrical current density were investigated by tensile tests and electron only device (EOD) experiments, respectively. The results showed that at higher PEI concentration the adhesion strength showed higher value, but the electrical current through the PEI layer decreased rapidly due to the increased PEI layer thickness. We added Sorbitol and PolyEthyleneGlycohol (PEG) into the 0.1 wt% PEI solution to enhance the adhesion and electrical properties. With the addition of the 0.5 wt% PEG into the 0.1 wt% PEI solution, the device showed an electrical current density of 900 mA/cm² and a good adhesion characteristic also. These data demonstrated the possibility of fabricating all-solution-processed OLEDs using two-substrate bonding technology with the PEI layer as an adhesion layer.