• Nuclear Engineering and Technology
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• 제51권4호
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• pp.1047-1059
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• 2019

This work describes the development of a numerical module with a multiphysics structure to simulate the thermo-hydro-chemo-mechanical behavior of compacted bentonites. First, the conceptual model, based on the state-of-the-art formulation for clay-based engineered barriers in deep geological repositories, is described. Second, the advantages of multiphysics-based modules are highlighted. Then, the guidelines to develop a code using such tools are outlined, presenting an example of implementation. Finally, the simulation of three tests that illustrate the behavior of compacted bentonites assesses the scope of the developed code. The satisfactory results obtained, and the relative simplicity of implementation, show the opportunity of the modeling strategy proposed.

• 한국컴퓨터정보학회:학술대회논문집
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• 한국컴퓨터정보학회 2024년도 제69차 동계학술대회논문집 32권1호
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• pp.335-337
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• 2024

This paper presents a new open-world object detection method emphasizing uncertainty representation in machine learning models. The focus is on adapting to real-world uncertainties, incrementally updating the model's knowledge repository for dynamic scenarios. Applications like autonomous vehicles benefit from improved multi-class classification accuracy. The paper reviews challenges in existing methodologies, stressing the need for universal detectors capable of handling unknown classes. Future directions propose collaboration, integration of language models, to improve the adaptability and applicability of open-world object detection.

• 디지털콘텐츠학회 논문지
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• 제12권4호
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• pp.501-510
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• 2011

다양한 의료서비스를 정형화되고 효율적인 방법으로 제공하기 위하여 최근 의료기관의 전자의무기록 시스템의 도입이 활발하다. 그러나 국내에서 개발된 대부분의 전자의무기록시스템은 자료수집원 기반의 방식으로 개발되어 왔다. 이러한 시스템들은 시스템 아키텍처와 소프트웨어 프로세스의 태생적인 한계로 인해 전자의무기록시스템의 도입이 추구하는 다양한 목표를 충족시키지 못하고 있다. 이러한 한계를 극복하기 위해 본 연구는 수집원 지향 방식으로 획득한 의무기록 콘텐츠와 문제지향 방식으로 획득한 의무기록 콘텐츠를 융합할 수 있는 시스템 아키텍처와 이러한 시스템을 구축하기 위한 최적화된 소프트 웨어 프로세스를 제시하였다. 이를 위해 문제지향식 의무기록 생성을 위한 진료 과정과 데이터 요구사항을 분석한 후 진료데이터저장소, 문제목록 데이터베이스, 동기화 모듈 등으로 구성되는 아키텍처와 나선형 소프트웨어 프로세스를 제시하고 프로토타입을 개발하였다.

• 정보과학회 논문지
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• 제43권11호
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• pp.1270-1274
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• 2016

로지스틱 회귀분석은 통계학 등의 분야에서 예측을 위한 기술 혹은 변수 간의 상관관계를 설명하기 위하여 오랫동안 사용되어 왔다. 이러한 로지스틱 회귀분석 방법에서 현재 각 속성들은 목적 값에 대하여 동일한 중요도를 가지고 있다. 본 연구에서는 이러한 가중치 계산을 좀더 세분화하여 각 속성의 값이 서로 다른 중요도를 가지는 새로운 학습 방법을 제시한다. 알고리즘의 성능을 최대화하는 각 속성값 가중치의 값을 계산하기 위하여 점진적 하강법을 이용하여 개발하였다. 본 연구에서 제안된 방법은 다양한 데이터를 이용하여 실험하였고 속성값 기반 로지스틱 회귀분석 방법은 기존의 로지스틱 회귀분석보다 우수한 학습 능력을 보임을 알 수 있었다.

• 통상정보연구
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• 제6권3호
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• pp.321-349
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• 2004

Bolero Project initially had the support of TEDIS, and now is a joint-venture between SWIFT and IT Club. After the successful testing of an original pilot project, The Bolero Association was formed in 1995 by a group of interested cross industry companies. A Bolero Bill of Lading replicates the basic functions of a paper-based bill of lading via title registry service and core messaging platform. A Bolero Bill of Lading consists of BBL Text and Title Registry Record. A Tittle Registry Record carries out the function of a document of title and a BBL may be transferred by changing the roles of users in this Title Registry Record. TEDI Project had been conducted from the April 1999 to the September 2000 on the basis of the EDEN Project(Dec.97- Mar. 1999) and International Trade Guidances Project (Nov. 1998-Mar. 1999). Through TEDI Project, the RSP Model was introduced as e-trade solution like Bolero's Solution. The RSP Model Solution will be furnished through TC (Trade Chain) Server and RSP(Repository Service Provider) Server. The purpose of this paper is to study the problems and solutions in the pilot test of electronic Bill of Lading using TEDI's RSP and to promote the introduction of electronic Bill of Lading.

• 한국비블리아학회지
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• 제25권4호
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• pp.209-233
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• 2014

본 연구는 영구기록물관리기관의 업무, 자료, 시스템의 특성을 파악하고 이를 기반으로 하는 클라우드 컴퓨팅 기반의 영구기록물관리시스템의 보존 및 활용 모델을 제안하였다. 이를 위해, 하드웨어 및 소프트웨어 자원을 클라우드 컴퓨팅 모델별로 매핑하고 업무 프로세스를 클라우드 컴퓨팅 기반으로 전환하였다. 영구기록물관리시스템에 클라우드 컴퓨팅기술을 도입하는 것은 다른 기록관의 시스템 및 업무효율성의 개선을 위한 모범적인 사례가 될 수 있다.

• 방사성폐기물학회지
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• 제19권4호
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• pp.517-532
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• 2021

Safe geological disposal of spent nuclear fuel (SNF) requires knowledge of the deep hydrochemical characteristics of the repository site. Here, we conducted a set of deep hydrochemical investigations using a 750-m borehole drilled in a model granite system in Wonju, South Korea. A closed investigation system consisting of a double-packer, Waterra pump, flow cell, and water-quality measurement unit was used for in situ water quality measurements and subsequent groundwater sampling. We managed the drilling water labeled with a fluorescein dye using a recycling system that reuses the water discharged from the borehole. We selected the test depths based on the dye concentrations, outflow water quality parameters, borehole logging, and visual inspection of the rock cores. The groundwater pumped up to the surface flowed into the flow cell, where the in situ water quality parameters were measured, and it was then collected for further laboratory measurements. Atmospheric contact was minimized during the entire process. Before hydrochemical measurements and sample collection, pumping was performed to purge the remnant drilling water. This study on a model borehole can serve as a reference for the future development of deep hydrochemical investigation procedures and techniques for siting processes of SNF repositories.

• International Journal of Computer Science & Network Security
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• 제21권12spc호
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• pp.399-408
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• 2021

Information security reports four types of basic attacks on information. One of the attacks is named as fabrication. Even though mobile devices and applications are showing its maturity in terms of performance, security and ubiquity, location-based applications still faces challenges of quality of service, privacy, integrity, authentication among mobile devices and hence mobile users associated with the devices. There is always a continued fear as how location information of users or IoT appliances is used by third party LB Service providers. Even adversary or malicious attackers get hold of location information in transit or fraudulently hold this information. In this paper, location information fabrication scenarios are presented after knowing basic model of information attacks. Peer-to-Peer broadcast model of location privacy is proposed. This document contains introduction to fabrication, solutions to such threats, management of fabrication mitigation in collaborative or peer to peer location privacy and its cost analysis. There are various infrastructure components in Location Based Services such as Governance Server, Point of interest POI repository, POI service, End users, Intruders etc. Various algorithms are presented and analyzed for fabrication management, integrity, and authentication. Moreover, anti-fabrication mechanism is devised in the presence of trust. Over cost analysis is done for anti-fabrication management due to nature of various cryptographic combinations.

• Nuclear Engineering and Technology
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• 제54권5호
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• pp.1616-1622
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• 2022

Selenium has been identified as an element of interest for the safety assessment of a deep geological repository (DGR) for used nuclear fuel. In Canada, groundwaters at DGR depths in sedimentary rocks have been observed to have a high ionic strength. This paper examines the sorption behavior of Se(-II) onto illite, MX-80 bentonite, Queenston shale, and argillaceous limestone in Na-Ca-Cl solutions of varying ionic strength (0.1-6 mol/kgw (m)) and across a pH range of 4-9. Little ionic strength dependence for Se(-II) sorption onto all solids was observed except that sorption at high ionic strength (6 m) was generally slightly lower than sorption at low ionic strength (0.1 m). Illite and MX-80 exhibited the expected results for anion sorption, while shale and limestone exhibited more constant sorption across the pH range tested. A non-electrostatic surface complexation model successfully predicted sorption of Se(-II) onto illite and MX-80 using the formation of an inner-sphere surface complex and an outer-sphere surface complex. Optimized values for the formation reactions of these surface species were proposed.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권8호
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• pp.2292-2313
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• 2023

With improving computing performance, various digital platforms are being developed to enable easily utilization of high-performance computing environments. EDISON 1.0 is an online simulation platform widely used in computational science and engineering education. As the research paradigm changes, the demand for developing the EDISON 1.0 platform centered on simulation into the EDISON 2.0 platform centered on data and artificial intelligence is growing. Herein, a data framework, a core module for data-centric research on EDISON 2.0 digital platform, is proposed. The proposed data framework provides the following three functions. First, it provides a data repository suitable for the data lifecycle to increase research reproducibility. Second, it provides a new data model that can integrate, manage, search, and utilize heterogeneous data to support a data-driven interdisciplinary convergence research environment. Finally, it provides an exploratory data analysis (EDA) service and data enrichment using an AI model, both developed to strengthen data reliability and maximize the efficiency and effectiveness of research endeavors. Using the EDISON 2.0 data framework, researchers can conduct interdisciplinary convergence research using heterogeneous data and easily perform data pre-processing through the web-based UI. Further, it presents the opportunity to leverage the derived data obtained through AI technology to gain insights and create new research topics.