• Proceedings of the Korea Information Processing Society Conference
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• 2022.11a
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• pp.234-236
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• 2022

딥러닝 원격 컴퓨팅 서비스(Deep Learning as a Service, DLaaS)가 널리 활용되면서 클라우드에서의 개인 정보 보호에 대한 우려가 커졌다. 신뢰실행환경(Trusted Execution Environment, TEE)는 운영체제의 접근까지 차단한 메인 프로세서의 보안 영역으로 DLaaS 환경에서의 개인 정보 보호 기법으로 채택되고 있다. 사용자의 데이터를 보호하면서 고성능 클라우드 환경을 활용하기 위해 신뢰실행환경을 활용한 딥러닝 모델 추론 연구들을 살펴보고자 한다.

• Tunnel and Underground Space
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• v.18 no.2
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• pp.91-97
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• 2008

In this paper, in-situ technique for measuring hydraulic conductivity of Excavation Disturbed Zone (EDZ) in a direct way and its application to an Underground Research Laboratory (URL) site were introduced. It was understood that both the EDZ oriented test equipment as a hardware and analysis/evaluation technique as a software should be integrated for upgrading a quality of estimated EDZ hydraulic conductivity. The well-estimated EDZ hydraulic conductivity is expected to enhance a reliability of stability evaluation for caverns under groundwater table and design of a waterproof or drainage system as well as a grout system.

• Tunnel and Underground Space
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• v.15 no.4 s.57
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• pp.250-263
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• 2005

Progressive and localized brittle failures around an excavated opening by the overstressed condition can act as a serious obstacle to ensure the stability and the economical efficiency of construction work. In this paper, the characteristics of the brittle failure around an circular opening with stress level was studied by the biaxial compressive test using sealed specimen and by the numerical simulation with $PFC^{2D}$, one of the discrete element codes. The occurring pattern and shape of the brittle failure around a circular opening monitored during the biaxial loading were well coincided with those of the stress induced failures around the excavated openings observed in the brittle rock masses. The crack development stages with stress level were evaluated by the detailed analysis on the acoustic emission event properties. The microcrack development process around a circular opening was successfully visualized by the particle flow analysis. It indicated that the scaled test had a good feasibility in understanding the mechanism of the brittle failure around an opening with a high reliability.

• Transactions of the Korean Society of Mechanical Engineers B
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• v.39 no.5
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• pp.415-423
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• 2015

In this study, we present a grid refinement model in the lattice Boltzmann method (LBM) for two-dimensional incompressible fluid flow. That is, the model combines the desirable features of the lattice Boltzmann method and stream function-vorticity formulations. In order to obtain an accurate result, very fine grid (or lattice) is required near the solid boundary. Therefore, the grid refinement model is used in the lattice Boltzmann method for stream function-vorticity formulation. This approach is more efficient in that it can obtain the same accurate solution as that in single-block approach even if few lattices are used for computation. In order to validate the grid refinement approach for the stream function-vorticity formulation, the numerical simulations of lid-driven cavity flows were performed and good results were obtained.

• Proceedings of the Korea Information Processing Society Conference
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• 2021.05a
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• pp.25-28
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• 2021

블록체인은 탈집중화, 위변조 방지, 추적 가능, 노드 간 공동 유지 및 보수가 가능한 데이터베이스로서 서로 신뢰하지 않은 노드 간 통신 신뢰 문제를 해결할 수 있는 점 대 점 통신 네트워크를 실현할 수 있다. 최근 몇 년 동안, 블록체인 기술은 지속적으로 발전하여 데이터 보안 문제를 해결하기 위한 중요한 기술로 주목받고 있다. 블록체인의 응용은 최초의 디지털 화폐 영역에서 금융·정무·공업 제조 영역으로 확대되고 있다. 블록체인의 특성에 따라 블록체인의 성능은 분산형 데이터 통신에 비해 크게 떨어지고 처리량이 제한되는 문제점이 존재한다. 본 논문에서는 최근 연구되고 있는 블록체인의 보안 구조 및 성능 분석에 대해 조사하고, 기존에 연구되었던 기술과 비교하여 블록체인의 안전성을 유지하며 성능을 향상시키는 방법에 대해 고찰한다. 이후 유향 비순환 그래프 (DAG: Directed Acyclic Graph) 및 샤딩 (Sharding)을 이용하여 안전성과 성능을 강화시키는 방법에 대해 제안한다. 제안하는 시스템은 DAG를 사용하여 위변조 방지 및 처리 속도 향상의 이점을 가지고 있으며, 샤딩을 사용함으로써 데이터 처리량을 향상시킨다. 마지막으로 제안하는 시스템은 기존 블록체인과 비교하여 안정성과 데이터 처리량 측면에서 비교 분석을 진행한다.

• Communications for Statistical Applications and Methods
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• v.18 no.3
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• pp.377-389
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• 2011

A higher quality level is generally perceived by customers as improved performance by assigning a correspondingly higher satisfaction score. The third generation index $C_{pmk}$ is more powerful than two useful indices $C_p$ and $C_{pk}$ that have been widely used in six sigma industries to assess process performance. In actual manufacturing industries, process capability analysis often entails characterizing or assessing processes or products based on more than one engineering specification or quality characteristic. Since these characteristics are related, it is a risky undertaking to represent the variation of even a univariate characteristic by a single index. Therefore, the desirability of using vector-valued process capability index(PCI) arises quite naturally. In this paper, we consider more powerful vector-valued process capability index $C_{pmk}$ = ($C_{pmkx}$, $C_{pmky}$)$^t$ that consider the univariate process capability index $C_{pmk}$. First, we examine the process capability index $C_{pmk}$ and plug-in estimator $\hat{C}_{pmk}$. In addition, we derive its asymptotic distribution and variance-covariance matrix $V_{pmk}$ for the vector valued process capability index $C_{pmk}$. Under the assumption of bivariate normal distribution, we study asymptotic confidence regions of our vector-valued process capability index $C_{pmk}$ = ($C_{pmkx}$, $C_{pmky}$)$^t$.

• Survey Research
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• v.10 no.2
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• pp.45-69
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• 2009

This paper explores how multiple facets of social capital in Korea affects social conflict. The notion of social capital is composed of several elements including (1) social trust in generalized others (2) confidence in public sector fairness and the principles of democracy (3) social networks and closures and (4) community spirit and collective norms. We particularly examine how these multiple dimensions of social capital affect an individual`s tendency of social conflict orientation. The findings address the following four points. First, an individual, who trusts generalized others in a society, is less likely to be exclusive and conflict-oriented. Second, the more an individual has confidence in the efficacy of democratic processes and public sector fairness, the more (s)he is likely to be social integration oriented. When an individual, in contrast, gives strong support to a particular party (or government in power), the person is more likely to be conflict oriented. Third, an individual who mobilizes exclusive social closures to solve a problem is more likely to be conflict oriented. However, an individual who maintains a variety of inclusive social networks is more likely to be social integration oriented. Finally, the internalization of collective norms does not affect directly the tendency of individual's social conflict orientation. Increasing social capital at the individual level does not automatically guarantee societal level conflict resolutions. Rather, building extensive social closures based on strong family or hometown ties, school connections, political interests has detrimental effects on social integration and conflict resolutions. More, constructive social integration in a society requires higher level of open social networks, consistent administrative and democratic procedures, and social trust in generalized others.

• Journal of the Korean association of regional geographers
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• v.20 no.2
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• pp.163-175
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• 2014

This study is to explain social capital characteristics of Filipino immigrant women at the level of neighborhood. This research targeted Filipino immigrant women in the metropolis, small town and rural area in Korea to find out the relevance of individual property and characteristics of the community and social capital of neighboring communities- school community, cathedral community, etc- through measurement of the participants' recognition. This study reveals that differences exist in the relationship between length of residence and social capital in the school community and the catholic church community. There is a significant positive relationship between length of residence and political factors in the catholic church community, thereby having a better relationship with longer period of stay, while length of residence and confidence show a negative trend in the school community, leading to less confidence. The catholic church community holds a dominant position in homogeneity, cohesion, and the amount of social capital. According to the findings, social capital 'relation' is more closely related to homogeneity of the community, 'norms' to cohesion. 'Relation and norms' and 'confidence and politics' factors are recognized similarly in both communities, thus resulting in the recognition that decision making within the community, the share of value, and observance of social norms approximate a friendly relationship among members, and satisfaction level, emotional support, and confidence among members approach politics that members can talk about their personal matters. It is noted in the research process that the symbolism of the cathedral community as a transnational circuit behavior occurs where collective culture and personal desires of Filipino immigrant women were combined with production of social capital. Filipino immigrant women's awareness of community and social capital appearing in the cathedral community show that not only residence, along with the cultural identity of Filipino immigrant women, but also collective social and cultural characteristics, such as 'family reunion' can not be overlooked. In particular, at this time when discussion and debate on the interculturalism over multiculturalism is heating up, communal spirit and social capital based on the ethnic identity are important in that they can be a crucial path to the cross-cultural interaction with our society, therefore, a study on the social capital of the ethnic community needs to be encouraged and extended to more diverse communities, to the space of the multilayered scale.

• Journal of the Korean Geosynthetics Society
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• v.21 no.1
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• pp.49-56
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• 2022

In this study, finite element numerical analysis was performed considering various influence factors(cavity shape and size, pavement thickness and size of traffic load) in order to analyze the impact factors in the underground of the road where the cavity occurred and to evaluate the stability of the ground. In order to verify the reliability of the numerical analysis method applied in this study and the results it was compared and analyzed with the results of previous studies and field measurements. The correlation between the influence factors was analyzed through the distribution of vertical displacement obtained from the numerical analysis results, the distribution of surface settlement and surface settlement, the distribution of the stress ratio, and the distribution of the safety factor. As a result, it was confirmed that as the size of the cavity and traffic load increased and the thickness of the pavement decreased, the vertical displacement and surface settlement at the top of the cavity increased. Also, the shape of the cavity was square, the stability of the ground was significantly reduced compared to the case of a circular cavity. Through these results, it was possible to confirm the overall stability of the lower ground of the road where the cavity was generated.

• The Korean Journal of Applied Statistics
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• v.19 no.1
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• pp.97-110
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• 2006

Since it is well-established that even high quality data tend to contain outliers, one would expect fat? greater reliance on robust regression techniques than is actually observed. But most of all robust regression estimators suffers from the computational difficulties and the lower efficiency than the least squares under the normal error model. The weighted self-tuning estimator (WSTE) recently suggested by Lee (2004) has no more computational difficulty and it has the asymptotic normality and the high break-down point simultaneously. Although it has better properties than the other robust estimators, WSTE does not have full efficiency under the normal error model through the weighted least squares which is widely used. This paper introduces a new approach as called the reweighted WSTE (RWSTE), whose scale estimator is adaptively estimated by the self-tuning constant. A Monte Carlo study shows that new approach has better behavior than the general weighted least squares method under the normal model and the large data.