• 한국인공지능학회지
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• 제12권1호
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• pp.7-16
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• 2024

This study aims to explore driving factors of Artificial Intelligence application for city marketing strategy with perspectives of millennials and generation Z. This study proposed the following research questions: i) how perceived place branding factor, public service factor, affective factor, immersive experience factor, cognitive factor, cost benefit factor, social networking factor, and promotional value factor affect attitude toward AI application for city marketing; and ii) how attitude affect satisfaction and prospect toward AI application for city marketing? This study conducted an online survey with the assistance of a well-known research agency and applied factor and regression analysis to test hypotheses. The results found that effects of place branding, cognitive, social networking, and promotional value affect attitude significantly in the case of millennials, while effects of public service, affective, cost benefit, social networking, and promotional value affect attitude significantly in the case of generation Z. The results found that effects of attitude on satisfaction and prospect of AI showed significance. The results provide implications and different aspects for AI application of city marketing strategy with perspectives by generations, while millennials and generation Z perceived effects of promotional value as the most significant factor for AI application of city marketing strategy.

• 전기학회논문지P
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• 제54권4호
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• pp.211-216
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• 2005

In this paper a robust controller using adaptive backstepping technique is proposed to control the speed of wind power generation system. To make wind power generation truly cost effective and reliable, advanced and robust control algorithms are derived to on-line adjust the excitation winding voltage of the generator based on both mechanical and electrical dynamics. This method is shown to be able to achieve smooth and asymptotic rotor speed tracking, as justified by analysis and computer simulation.

• 신재생에너지
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• 제2권3호
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• pp.23-30
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• 2006

Need developments of substitute energy to solve problem of global warming by excess use of fossil energy, excess discharge of carbon dioxide. wind power generation system is all-important energy in next generation as clean energy. Environmental pollution of wind power generation system is not exhausted entirely. And, electric-power generation system cost is cheap than other energy. Wind Generation system that is supplied much present is most horizontality style blade structure. But, Horizontal style structure is serious noise and there is problem in stability of blade. We designed special blade solve to this problem. And, manufactured vertical axis wind power generation system because using blade. Also, developed assistance power generator to increase driving efficiency ago wind power generation. We expect this devices that is such cover shortcoming of wind power generation system.

• 만화애니메이션 연구
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• 통권13호
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• pp.223-236
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• 2008

본 논문에서는 강력한 하드웨어 게임콘솔을 타깃으로 제작되는 넥스트 제너레이션 게임의 탄생배경과 의미, 그 새로운 개념의 등장으로 인해 현 게임인더스트리에 요구되어지는 제작구조의 변화를 슈터게임을 중심으로 분석했으며, 이 전의 슈터게임 애니메이션 파이프라인과 구별되는 넥스트 제너레이션 게임 애니메이션의 필요성과 그 제작과정을 정리하였다. 더불어 최근 북미 게임 인더스트리에서 시도되고 있는 기술적 도전들을 살펴봄으로써 넥스트 제너레이션 게임의 새로운 가능성과 과제들을 연구하는 것이 본 논문에 목적이다.

• 한국콘텐츠학회논문지
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• 제12권11호
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• pp.39-48
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• 2012

소프트웨어 테스팅이 소프트웨어 개발 비용의 상당 부분을 차지하는 것은 잘 알려진 사실이다. 소프트웨어 테스팅 비용을 줄이기 위해 소프트웨어 테스트 데이터를 자동으로 생성하는 방법에 많은 연구가 이루어지고 있다. 일반적으로 테스트 데이터 자동 생성을 지원하기 위해 심볼릭 실행기나 제약 해결기와 같은 정교한 도구들을 요구한다. 그러나 이와 같은 도구들을 개발하거나 구입하는 것은 소프트웨어 테스트 관련 비용을 증가시키는 또 다른 요소로 작용된다. 이 논문에서는 심볼릭 실행이나 제약 해결에 의존되지 않는 동적 테스트 데이터 방법을 제안한다. 제안된 방식은 분기 커버리지 기준을 효과적으로 만족하도록 Korel의 경로 지향 테스트 데이터 생성 방법을 확장한다. 이 논문에서는 삼각형 분류 프로그램에 대한 실험을 통하여 제안된 방법이 분기 커버리지를 매우 효과적으로 달성함을 보인다.

• JSTS:Journal of Semiconductor Technology and Science
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• 제17권1호
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• pp.147-155
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• 2017

A new endurance test-pattern generation on NAND-flash memory is proposed to improve test cost. We mainly focus on the correlation between the data-pattern and the device error-rate during endurance testing. The novelty is the development of testing method using quasi-random pattern based on device architectures in order to increase the test efficiency during time-consuming endurance testing. It has been proven by the experiments using the commercial 32 nm NAND flash-memory. Using the proposed method, the error-rate increases up to 18.6% compared to that of the conventional method which uses pseudo-random pattern. Endurance testing time using the proposed quasi-random pattern is faster than that of using the conventional pseudo-random pattern since it is possible to reach the target error rate quickly using the proposed one. Accordingly, the proposed method provides more low-cost testing solutions compared to the previous pseudo-random testing patterns.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2000년도 하계학술대회 논문집 A
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• pp.334-336
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• 2000

In Korea, the CCGTs have been installed to about 25% of the total generating capacity. Generally CCGTs determine the System Marginal Prices(SMP) in Cost Based Generation Pool. So the scheduling of CCGTs is very important in daily generation scheduling. This paper describes the scheduling of CCGTs which considers the operating characteristics of them. We use lagrangian relaxation method which decomposes the unit committment problem into the subproblems of the individual unit. In the CCGT subproblem, we define the cost function of CCGT in two way. In Case study, the daily generation scheduling is performed using the data of Korean thermal system.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1997년도 하계학술대회 논문집 D
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• pp.1083-1087
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• 1997

Every effort is now being exerted in industrialized and developing countries to reduce emission of greenhouse gases from electric power sector. In this paper, we provide supply-side resource mix strategies in the long-term generation expansion planning under the expected greenhouse gas regulations. Under the environmental regulations, we explore the least-cost generation expansion plan of Korea and determine the composition of future resource mixes. Our analysis is performed on the basis of the revised WASP package which can evaluate emission of carbon dioxide from each power plant. The evaluation process of carbon dioxide emissions, which can consider the efficiency and operating conditions of each generator simultaneously, has been incorporated into the probabilistic production cost simulation module of WASP.

• Journal of Communications and Networks
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• 제9권4호
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• pp.438-445
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• 2007

In this paper, we consider the problem of optimum selection of quality-of-service(QoS) classes in interworking between the networks in a next-generation-network(NGN) environment. After introducing the delay-cost and loss-cost characteristics, we discuss the time-invariant(TI) and time-variant(TV) scenarios. For the TI case, we show that under nearly lossless transmission condition, each network can make its own optimization regardless of other networks. For the TV case, we present sufficient conditions under which the optimum QoS class of each network can be considered fixed with respect to time without considerable degradation in the optimization target. Therefore, under the conditions presented in this paper, the QoS of a flow in each network can be determined solely by considering the characteristics of that network and this QoS class can be held fixed during the flow period.

• 대한설비공학회:학술대회논문집
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• 대한설비공학회 2008년도 동계학술발표대회 논문집
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• pp.15-20
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• 2008

The objectives of this study are to analyze the energy independence plan and to propose a suitable sewage treatment plant in Korea. The total amount of electricity consumption for public sewage treatment plant was estimated as 1,182 GWh in 2007. It was estimated that total 16 sewage treatment plants with renewable energy systems produced electricity of 15.2 GWh per year, which could replaced 0.8% of total electricity used for sewage treatment. It was found that domestic sewage treatment plants with power generation plants by digestion gas were installed in 7 places and produced electricity of 13 GWh per year. It was also found that the power generation plants by digestion gas were the most cost-effective for sewage treatment out of the renewable energy systems based on the benefit-cost analysis.