• 한국IT서비스학회:학술대회논문집
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• 2002.11a
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• pp.42-46
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• 2002

현재의 우리나라 SI 관련 산업은 IT 산업의 핵심을 차지하고 국내 산업을 주도할 전략 사업으로 그 중요성이 부각되고 있으며, IT 산업의 경쟁력을 강화하는데 SI 산업의 대내외 위상이 커지고 있다. 2002년도 SI시장 규모는 전년대비 15%정도 성장한 9.5조원을 형성할 것으로 예상된다. 올해는 SI사업부문 매출액 등을 전년대비 해볼 때 국내 SI사업 시장이 호전되었지만, 해외 SI사업 시장 상황은 여전히 어려운 것으로 나타나고 있다. 그 타개책으로 국내 SI 업체의 자본 및 기술의 합작제휴가 많아지고 있으며 그 중 자본 제휴보다는 중점적으로 기술 제휴를 하고 있지만, 기술 제휴 한계는 기술 이전이나 기술 확보가 되지 않는 것이다. 기술개발이 무한경쟁의 시대에서 살아 남기 위하여 어느 때 보다 더 필수 불가결의 수단이 되고 있어 기술개발을 위하여 SI 기업들이 R&D 투자와 운용에 회사의 사활을 걸고 있으며, R&D현황은 이전에 비해 단순히 양적인 측면을 떠나 질적인 부문에도 많은 변화가 일고 있다. 이것은 기술개발이 SI 시장의 흐름을 간파하거나 리드할 수 있는지가 주요 개발요인으로 작용하고 있기 때문으로 SI산업에서의 R&D 현황 등을 검토하여 국내 SI산업의 발전뿐만 아니라 해외시장의 참여에 기여 할 수 있도록 R&D 활성화 방안을 제안하고자 한다.

• Electronics and Telecommunications Trends
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• v.33 no.5
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• pp.121-134
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• 2018

The Von Neumann based architecture of the modern computer has dominated the computing industry for the past 50 years, sparking the digital revolution and propelling us into today's information age. Recent research focus and market trends have shown significant effort toward the advancement and application of artificial intelligence technologies. Although artificial intelligence has been studied for decades since the Turing machine was first introduced, the field has recently emerged into the spotlight thanks to remarkable milestones such as AlexNet-CNN and Alpha-Go, whose neural-network based deep learning methods have achieved a ground-breaking performance superior to existing recognition, classification, and decision algorithms. Unprecedented results in a wide variety of applications (drones, autonomous driving, robots, stock markets, computer vision, voice, and so on) have signaled the beginning of a golden age for artificial intelligence after 40 years of relative dormancy. Algorithmic research continues to progress at a breath-taking pace as evidenced by the rate of new neural networks being announced. However, traditional Von Neumann based architectures have proven to be inadequate in terms of computation power, and inherently inefficient in their processing of vastly parallel computations, which is a characteristic of deep neural networks. Consequently, global conglomerates such as Intel, Huawei, and Google, as well as large domestic corporations and fabless companies are developing dedicated semiconductor chips customized for artificial intelligence computations. The AI Processor Research Laboratory at ETRI is focusing on the research and development of super low-power AI processor chips. In this article, we present the current trends in computation platform, parallel processing, AI processor, and super-threaded AI processor research being conducted at ETRI.

• Journal of the Microelectronics and Packaging Society
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• v.27 no.2
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• pp.1-10
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• 2020

The technology and market size of image sensors continue to develop thanks to the release of image sensors that exceed 100 million pixels in 2019 and expansion of black box camera markets for vehicles in addition to existing mobile applications. We review the technology flow of image sensors that have been constantly evolving for 40 years since Hitachi launched a 200,000-pixel image sensor in 1979. Although CCD has made inroads into image sensor market for a while based on good picture quality, CMOS image sensor (CIS) with active pixels has made inroads into the market as semiconductor technology continues to develop, since the electrons generated by the incident light are converted to the electric signals in the pixel, and the power consumption is low. CIS image sensors with superior characteristics such as high resolution, high sensitivity, low power consumption, low noise and vivid color continue to be released as the new technologies are incorporated. At present, new types of structures such as Backside Illumination and Isolation Cell have been adopted, with better sensitivity and high S/N ratio. In the future, new photoconductive materials are expected to be adopted as a light absorption part in place of the pn junction.

• Journal of Electrical Engineering and Technology
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• v.5 no.2
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• pp.209-219
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• 2010

In this paper, a novel dynamic available transfer capability (DATC) has been computed for real time applications using three different intelligent techniques viz. i) back propagation algorithm (BPA), ii) radial basis function (RBF), and iii) adaptive neuro fuzzy inference system (ANFIS) for the first time. The conventional method of DATC is tedious and time consuming. DATC is concerned with calculating the maximum increase in point to point transfer such that the transient response remains stable and viable. The ATC information is to be continuously updated in real time and made available to market participants through an internet based Open Access Same time Information System (OASIS). The independent system operator (ISO) evaluates the transaction in real time on the basis of DATC information. The dynamic contingency screening method [1] has been utilized and critical contingencies are selected for the computation of DATC using the energy function based potential energy boundary surface (PEBS) method. The PEBS based DATC has been utilized to generate patterns for the intelligent techniques. The three different intelligent methods are tested on New England 68-bus 16 machine and 39-bus 10 machine systems and results are compared with the conventional PEBS method.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.4
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• pp.613-624
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• 2021

This paper analyzes the relationship between income distribution and energy consumption from a Pareto optimal approach. For this purpose, the causality relationship between electricity consumption per capita (kWh) with respect to country groups and energy consumption per capita (kg of oil equivalent) along with gross domestic product per capita was analyzed. In addition to this purpose, a Pareto analysis was conducted to determine the countries with the highest per capita national income, how much of the world total energy they consume, and whether the law of power in the energy and electricity markets exists. Finally, the impact of official development assistance provided to low-income countries by high-income countries on the low-income countries' electricity and energy consumption was analyzed. In other words, it was questioned whether pareto redistribution policies serve the purpose or not. The Engle-Granger causality approach was used in the analysis of the causality relationship between variables. Our analysis indicated that, first, the energy data of the country groups may be inadequate in revealing income inequalities. Second, the existence of Pareto law of power and global income inequality can be explained based on energy data. Finally, Pareto optimal redistribution policies to eliminate income inequality remain inadequate in practice.

• Journal of the Korea Safety Management & Science
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• v.24 no.2
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• pp.67-76
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• 2022

Power generation construction projects involving large amounts of capital can affect the survival of a company along with huge economic losses in the event of a business failure. In general, private companies are organizations with challenging risk taking tendencies while public companies have a risk averse tendency to avoid risk, so these differences in organizational tendencies make it difficult to respond to risk. In particular, public companies are more likely to fail than private companies because they choose the contradiction of risk picking to enter overseas markets with high uncertainty despite their tendency to risk averse due to the nature of the organization. Therefore, these organizations need risk management techniques that reflect a risk-averse strategy. Accordingly, this paper analyzes the risk management research papers of the existing overseas development EPC business in order to find the risk management techniques related to the organizational tendencies of public companies and proposes "establishing a performance audit system for risk management of the organizational tendencies of public companies" as a way to extract the risk factors through the examples of overseas development projects of public companies and to manage the organizational tendencies of public companies that affect them.

• Journal of the Korean Society of Industry Convergence
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• v.25 no.6_2
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• pp.1029-1036
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• 2022

The traditional outdoor advertising market has been stagnant recently, but the digital advertising market has been steadily increasing, and the digital signage market has been expanding despite the recent corona pandemic. However, in terms of hardware, new displays are required due to excessive power consumption, lack of visibility in sunlight, and continuous operating expenses. Since the e-paper display does not require a light emitting device therein, it is advantageous to solve above problems. In addition, it has the advantage of consuming power only when converting an image due to bistability, so it is suitable as hardware that implements images rather than moving pictures. Currently, one of the most successful examples of commercializing e-paper displays is ESL devices. According to a recent market study, the market for large-sized panels larger than 10 inches has grown at an annual rate of 21.6%, and the market is expected to exceed 30% by 2026. It is judged that it will be relatively easy to apply the roll-to-roll technology, which is currently developing the technology applied to OLED, to the e-paper display. Therefore, mass production technology and market expansion for ESL panel enlargement are expected, and a new market is also expected to be formed at the same time. New markets will be traffic signs, public displays, billboards, façades, kiosks, digital signage, and so on.

• Journal of Korean Society of Rural Planning
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• v.13 no.2
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• pp.133-142
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• 2007

Tourism and recreation spots in Korea have been developed metropolitan cities-oriented that facility construction has too much importance in local tourist site development more than satisfaction and experience. Tourism hardly seems to play its role as a motive power even in locals where tourism occupies much in their economic development. Therefore, the ministry of culture & tourism has introduced a plan to discover cultural and tourism resources as a development alternative which handles theme-ability and specialization. However, most projects of local tourism resources developed since 1999 have resulted similar features comparing to previous and existing tourist spots. And the main objectives of this paper have not been realized very well. This research hence forth suggests a program-based model development in tourism resources, with a case study of Gokun-gugok, one of the historical and cultural sites and is located in Hwachon-gun, Gangwon Province. Main points include: Since the Gokun-gugok landscape has been undermined and been loosed the traditional cultural value due to the road development, this study intends to plan to make the adventure of tourism destination including restoring the site as a cultural place. The Gokun-gugok site needs to develop combining various types of tours and adventures with instructive and educational programs to meet the visitors' needs. This research also intends to precede a development plan based on harmonizing natural, historical and cultural assets of the Gokun-gugok with facility maintains and tourism development. Meanwhile, the study stresses on realizing development of tourism resources categorizing programs by seasonality, visitor's economic class, and visit duration. Asa consequence, the research presents a "Culture & Tourism Academy" which deals with these types of adventure programs and informative educations. To assess feasibility of the development plan in terms of economy, environment and policy, the research conducted the site inspection and examined the site's surroundings, land properties and inundation. 145,000 square meters have been extracted as a feasible development area out of total 392,500 square meters. Finally, the study segmentizes target markets basedon the result of the survey on visitors and local residents. The more segmentized markets employ facilities according to their traditional characters.

• The Korean Journal of Financial Management
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• v.26 no.2
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• pp.63-91
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• 2009

This paper tests the validity of pecking order theory by Myers(1977) and Myers and Majluf(1984) on Korean manufacturing firms listed in the KRX for the years of 1994 to 2003. We also want to see if there is any difference in financing behavior between chaebol affiliated firms and non-chaebol affiliated firms. We develop testable hypotheses from the idea that established relationship between bank and firm mitigates the problem of information asymmetry (Kang and Lim, 2001), and thus makes it easier for firms to raise funds through banks. The test result of the first stage shows that firms prefer cash reserves to debt financing, and prefer debt to equity. Chaebol affiliated firms are found to behave as if they already exploit internal capital markets. The second stage of the test carried out by dividing debt capital into bank loans and corporate bonds also shows a consistent pattern of financing behavior. Firms are testified to prefer cash to bank loans, bank loans to corporate bonds, and corporate bonds to equity. In this case chaebol affiliation seems to make firms behave as if they already establish internal capital markets. Further analysis shows that some, though not in every case, difference of ordering around the occasion of Korean financial crisis exists. It may be from the change of attitude of Korean firms to risk, or from weakened influence of internal capital market along with strengthened market power in the post-crisis period.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.42 no.3
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• pp.109-115
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• 2019

Most demand forecasting studies for telecommunication services have focused on estimating market size at the introductory stage of new products or services, or on suggesting improvement methods of forecasting models. Although such studies forecast business growth and market sizes through demand forecasting for new technologies and overall demands in markets, they have not suggested more specific information like relative market share, customers' preferences on technologies or service, and potential sales power. This study focuses on the telecommunication service industry and explores ways to calculate the relative market shares between competitors, considering competitive situations at the introductory stage of a new mobile telecommunication service provider. To reflect the competitive characteristics of the telecommunication markets, suggested is an extended conjoint analysis using service coverage and service switching rates as modification variables. This study is considered to be able to provide strategic implications to businesses offering existing service and ones planning to launch new services. The result of analysis shows that the new service provider has the greatest market share at the competitive situation where the new service covers the whole country, offers about 50% of existing service price, and allows all cellphones except a few while the existing service carrier maintains its price and service and has no response to the new service introduction. This means that the market share of the new service provider soars when it is highly competitive with fast network speed and low price.