• The Journal of Information Systems
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• v.31 no.4
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• pp.47-73
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• 2022

Purpose The purpose of this study is to select the electronic architecture concept of the powertrain domain of the electronic platform to be applied to electric vehicles after 2025. Previously, the automotive electrical and electronic architecture was determined only by trend analysis, but the purpose was to determine the scenario based on the data and select it with clear evaluation indicators. Design/methodology/approach This study identified the function to be applied to the powertrain domain of next-generation electric vehicle, estimated the controller, defined the function feature list, organized the scenario candidates with the controller list and function feature list, and selected the final architecture scenario. Findings According to the research results, the powertrain domain of electric vehicles was selected as the architectural concept to apply the DCU (Domain Control Unit) and VCU (Vehicle Control Unit) integrated architecture to next-generation electric vehicles. Although it is disadvantageous or equivalent in terms of cost, it was found to be excellent in most indicators such as stability, security, and hardware demand.

• 한국연소학회:학술대회논문집
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• 2015.12a
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• pp.279-282
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• 2015

Energy Technology Perspectives (ETP) has provided the current status of energy system, technology developments and external events that have changed ETP scenario since 2006. The three scenarios are presented in four different fields (power generation, transport, industry, building). Energy efficiency improvement of energy system and the new system that can solve the increasing energy demand and the emissions are introduced. The activities on IEA/ECERC delegation of Korea will be also reported in this presentation.

• Journal of the Korean Operations Research and Management Science Society
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• v.6 no.1
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• pp.15-23
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• 1981

This paper deals with cross impact analysis for technology assessment. The focus of the paper is to develop new technique of cross impact matrix using goal programming method. In this study, the idea of cross impact analysis based on scenario generation method especially SMIC-74 (2) is expanded. Critical literature review on SMIC-74 is presented to discuss the mathematical rationale of consistent probability in cross impact analysis. A new model of cross impact analysis using goal programming to overcome the shortcomings of the scenario generation technique especially SMIC-74 is developed. This new technique is also applied to the assessment of the air pollution problems in Seoul Metropolitan area in Korea. The results of analysis give us following findings 1) Cross impact analysis using goal programming produce more meaningful solutions comparing to those of SMIC-74 2) Theoretical rationale of the objective function in the newly developed technique is more appropriate than that of SMIC-74.

• Journal of information and communication convergence engineering
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• v.9 no.4
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• pp.401-404
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• 2011

Considerations for green house gas (GHG) monitoring over next generation network (NGN) are regarded as a green convergence service for the successful reduction of GHG emission leading to resolve global warming issue in that NGN is expected to provide secure connections to fixed-and-mobile converged (FMC) features. Model-based scenario approach is an appropriate way to standardize and actualize the desired service. This paper first describes the service scenario of GHG monitoring service over NGN.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.07a
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• pp.503-504
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• 2022

최근 자연어 처리 분야에서 언어 모델을 활용하여 문장 생성에 관한 연구가 이루어지고 있다. 기존 언어 모델을 활용하여 생성된 시나리오는 텍스트를 학습하여 활용하는 것 외에는 작가의 의도를 반영하는 것에 한계가 존재했고 문맥에 일관성 없는 모습을 보여주었다. 시나리오를 작성하는 것은 작가가 흐름을 주도하며 작업해야 하는 내용이다. 본 논문에서는 GPT-3 기반 언어 모델을 기반으로 다양한 시나리오 문장을 생성하여 작가가 선택하거나 원하는 문장을 직접 입력하는 등 작가의 의도에 부합하는 시나리오를 생성하는 보조 시스템을 제안한다. 본 연구를 통해 시나리오 생성을 포함한 문장 생성 분야의 보조 도구로 활용하여 작가의 의도를 반영하는 결과물을 생성하는 것을 목표로 한다.

• Journal of Korea Society of Digital Industry and Information Management
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• v.10 no.3
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• pp.71-85
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• 2014

This study proposes the future strategy of semiconductor companies corresponding to the growth of cloud computing. Cloud computing is the delivery of IT resources such as hardware and software as a service rather than a product, and it is expected to significantly change the IT market. By employing the scenario planning method, this study develops a total of eight scenario cases, and presents the three possible scenarios including the best market, the worst market, and the neutral market scenario. This study suggests the future strategy of semiconductor companies based on the best market scenario (increasing firms' IT expenditure, increasing the complexity and performance of devices, the frequent replacement of devices). The suggested future strategy of semiconductor includes that the semiconductor companies need to strengthen their price competitiveness, secure the next generation technologies, and develop the better capability for market prediction with the growth of cloud computing. This study will help semiconductor companies set up the strategy direction of technology development, and understand the connections between cloud computing and the memory semiconductor industry. This study has practical implications for semiconductor industry to prepare for the future of cloud computing.

• Journal of the Korea Society for Simulation
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• v.24 no.4
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• pp.51-58
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• 2015

Since SBA is regarded as mandatory for DM&S, many M&S frameworks and solutions were developed and applied to military simulation systems. Simulation systems developed based on such framework or solution are consist of simulation control part, scenario generation part and modeling part in common. Although the functions of these parts are similar between another simulation systems, these are developed separately by different implementation, so it causes increase of development cost. In order to solve these problems, we developed a simulation scenario framework which can be reusable regardless of simulation purpose. In this paper, we propose an architecture of simulation scenario framework and its functions.

• Nuclear Engineering and Technology
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• v.51 no.2
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• pp.510-517
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• 2019

Increasing proliferation resistance of plutonium by way of increased $^{238}Pu$ content is of interest to the nuclear nonproliferation and international safeguards community. Considering the high alpha decay heat of $^{238}Pu$, increasing the isotopic fraction leads to a noticeably higher amount of heat generation within the plutonium. High heat generation is especially unattractive in the scenario of weaponization. Upon weaponization of the plutonium, the plutonium may generate enough heat to elevate the temperature in the high explosives to above its self-explosion temperature, rendering the weapon useless. In addition, elevated temperatures will cause thermal expansion in the components of a nuclear explosive device that may produce thermal stresses high enough to produce failure in the materials, reducing the effectiveness of the weapon. Understanding the technical limit of $^{238}Pu$ required to reduce the possibility of weaponization is key to reducing the current limit on safeguarded plutonium (greater than 80 at. % $^{238}Pu$). The plutonium vector evaluated in this study was found by simulating public information on Lightbridge's fuel design for pressurized water reactors. This study explores the temperature profile and maximum stress within a simple (first generation design) hypothetical nuclear explosive device of four unique scenarios over time. Analyzing the transient development of both the temperature profile and maximum stress not only establishes a technical limit on the $^{238}Pu$ content, but also establishes a time limit for which each scenario would be useable.

• Journal of the Society of Naval Architects of Korea
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• v.56 no.5
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• pp.457-463
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• 2019

Damage control is a very important preliminary and primary activity to improve the survivability of naval ships by preventing spread of damage, and various types of onboard damage control training are conducted regularly on naval ships. The scenarios for these trainings should be well organized to improve the training efficiency. However, at present, it takes much time and effort to generate the training scenarios and there is a problem that the procedures and contents of the scenarios vary widely depending on the persons who generate, without the established methods and standards. In this paper, an efficient generation method of damage control onboard training scenarios has been established, especially for flood and fire o n naval ships. Also a computer program has been developed based on the established method. The results showed that this method and computer program reduce the time and effort to generate these scenarios, and it is hoped that the method be used as a ROK Navy Standard.

• Proceedings of the IEEK Conference
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• 2008.06a
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• pp.959-960
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• 2008

Recently, biometric authentication mechanism has been used to provide high level of security in cryptographic systems. In this paper, we propose an efficient method of generating invariant iris key to be applied in cryptographic systems. In order to generate iris key and improve the performance at the stolen token scenario, multiple random projection technique was combined with multiple linear transformation methods. From the experimental results, we proved that invariant iris keys were generated and the proposed method was robust to stolen token scenario.