• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.6
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• pp.748-755
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• 2019

CCTV Systems have been operated in the variety of serveillance fields of the apartment, transportation, safety, physical security, and so on. And their uses are largely increasing as the CCTV transmission technology has been changed from analog to IP network way. Domestic industry has been working to upgrade from analog CCTV systems to High-Definition(HD) CCTV systems for recent years, which involves a few issues such as mixing with several transmission technologies and duplicated investment in each area because the technological analysis and criteria are specifically not arranged. This paper examines the technical issues of the transmission method between HD analog and HD IP CCTV systems, and induces the criteria of the cost analysis and its weighting factors for HD CCTV reformation. By simulating the cost analysis results of both the HD CCTV systems on apartment environment, this paper proposes the reference for the choice of HD CCTV system reformation.

• International Area Studies Review
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• v.16 no.1
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• pp.101-122
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• 2012

This present paper examines stochastic cost functions of Malaysian commercial bank from 1991 to 1997 periods catches the changes un their management structure and technical efficiency. Then we also discuss policy implications for bank integration and competition policy which is the part of current financial reform that reinforces the banking sector. The present paper contributes to the expansion of their study in two respects. Firstly, we have estimated the cost function, availing ourselves of SEA based on a parametric approach. Secondly, our model also includes as a factor the existence of bad debts. According to our results, we observed economies of scale clearly, but economies of scope and technological progress were not observed. Regarding the policy implications, the result of our analysis suggests strongly that the current policy is appropriate.

• Land and Housing Review
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• v.14 no.1
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• pp.135-144
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• 2023

LH Corporation uses the construction waste disposal fee standard, of which the model was developed a long time ago. Therefore, this model is problematic because it needs to reflect waste treatment facilities' technological development and environmental conditions. In this study, the estimated manpower and costs required for the process operation of waste treatment facilities were analyzed, followed by the proposed estimation criteria. This improved standard model can be used as a cost calculation standard for the recycling and treatment of construction waste in public institutions. The study also suggests that an increase in waste treatment costs is needed.

• Journal of the Korea Organic Resources Recycling Association
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• v.31 no.3
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• pp.93-102
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• 2023

This study investigated the possibility of treating heavy metal pollutants existing in the air in addition to simultaneously removing NOx and SOx by injecting oxidizing and reducing agents into a scrubber into a microbubble device to create an eco-friendly method that does not generate secondary pollutants. Lead compound (Pb) was selected as the heavy metal substance in the air to be treated with microbubbles, and the removal efficiency was confirmed. By treating microbubbles by connecting them to a scrubber, it was confirmed that not only NOx and SOx but also heavy metal substances in the air were reduced, cost was reduced, and secondary environmental pollutants were not generated. Through this study, it was possible to simultaneously remove NOx, SOx, and heavy metals at low cost by applying an eco-friendly method, rather than the existing high-cost treatment method such as SCR. If oxidizing agent, reducing agent, and microbubbles are used appropriately, economical and efficient air pollution can be achieved. Since material processing was possible, it is expected to be helpful in the technological development of environmental prevention facilities.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.41 no.1
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• pp.92-100
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• 2016

It is informed that the Voice over LTE(VoLTE) which serves voice and message on IP networks is better in terms of economies of scale than the legacy voice service on 2G/3G circuit-switched networks because of its technological and cost efficiency. In addition, services of voice and data are running on a single LTE network and as a result VoLTE has the more economies of scope. But, there is no study about how much technology-efficiency VoLTE has compared to circuit-based voice service and how much voice charge can be reduced as VoLTE grows up. This paper analyzes empirically cost-efficiency of VoLTE against circuit-based voice service and quantifies the reduction of voice charge as 2G/3G voice traffic shifts to VoLTE. The results describe the first is that the average cost of the total voice traffic rises shortly just after the investment of LTE network for providing VoLTE but it will soon have a capacity available to reduce the charge due to VoLTE's outstanding cost efficiency on the assumption that voice traffic is fixed, and the second is that the charge can be cut to 60% of the current rate in case of all the voice traffic moves to VoLTE. The latter proves partially the validation of data-focusing pricing plan. Our results are expected to become basic data for network operators' establishing pricing strategies and for policy makers' inducing price cutting.

• International Journal of Quality Innovation
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• v.9 no.3
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• pp.93-112
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• 2008

This study explores the influence of Taiwan's high-tech manufacturers' innovative strategy and innovation motivation concerning the implementation of innovative activities, as well as the influence of innovative activities implementation on business performance. The two intermediate variables, industry group and enterprise scale are also considered. Through a review of the relevant literature, a theoretical model of the influence relationship is developed, while an empirical analysis is simultaneously conducted on Taiwan's high-tech manufacturers. The research result shows that the internal driving force of innovative activities has a significant impact on the level of implementing technological innovative activities and cultural innovative activities. The external driving force of innovative activities has a significant impact on the level of implementing market innovative activities and management innovative activities. Companies adopting self-developed technology and purchased as well as self-developed technology strategies, perform better than those adopting purchased new technology or those with neither purchased nor self-developed technology strategies, at implementing technological innovative activities and cultural innovative activities. The level of implementing innovative activities has a significant influence on business performance (cost reduction and product/service differentiation). For the intermediate variables of "industry group" and "enterprise scale", it is proven in this study that they have no significant influence on the level of innovative activity implementation or business performance.

• Knowledge Management Research
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• v.21 no.1
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• pp.175-195
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• 2020

The development of platform service based on the information and communication technology has revolutionized patterns of commercial transactions, driving the growth of global economy. Furthermore, the radical advancement of artificial intelligence(AI) presents the huge potential to innovate almost all the industrial and economic activities. Given these technological developments, the goal of this paper is to investigate AI's impact on the platform service innovation as well as its influence on the business performance. For the goal, this paper presents the review of the types of service innovation, the nature of platform services, and technological characteristics of leading AI technologies, such as chatbot and recommendation system. As an empirical study, this paper performs a multiple case study of Kakao Group which is the leading mobile platform service with the most advanced AI in Korea. To understand the role and effect of AI on Kakao platform service, this study investigated three cases, including chatbot agent of Kakao Bank, Smart Call service of Kakao Taxi, and music recommendation system of Kakao Mellon. The analysis results of the case study show that AI initiated innovations in platform service concepts, service delivery, and customer interface, all of which lead to a significant decrease in the transaction costs and the personalization of services. Finally, for the successful development of AI, this research emphasizes the significance of the accumulation of customer and operational data, the AI human capital, and the design of R&D organization.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2008.10a
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• pp.24-36
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• 2008

Architecture-based competition has become a very important issue in many industries. As companies seek lower cost, fast development, and more customizability at the same time, modular architecture of products and processes seem to be an inevitable choice. Existing literature, however, has only focused on the basic contents of architecture-based competition. Different competitive environments and technological competencies of incumbent companies influence the evolutionary dynamics of dominant architecture of industries. In this paper we suggest a new theoretical framework to deal with the complex co-adaptation process of architecture-based competition. We first explore the emerging modular architecture in Chinese commercial vehicle industry, and then compare it with the architecture strategies of Korean companies. Based on the explorative case study, we propose new hypotheses relating the market demand, technological competencies of major players and dominant architecture in an indus-try.

• Proceedings of the Korean Vacuum Society Conference
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• 2011.08a
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• pp.70-70
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• 2011

The prospects of current and coming solar-photovoltaic (PV) technologies are envisioned, arguing this solar-electricity source is beyond a tipping point in the complex worldwide energy outlook. Truly, a revolution in both the technological advancements of solar PV and the deployment of this energy technology is underway; PV is no longer an outlier. The birth of modern photovoltaics (PV) traces only to the mid-1950s, with the Bell Telephone Laboratories' development of an efficient, single-crystal Si solar cell. Since then, Si has dominated the technology and the markets, from space through terrestrial applications. Recently, some significant shift toward technology diversity have taken place. Some focus of this presentation will be directed toward PV R&D and technology advances, with indications of the limitations and relative strengths of crystalline (Si and GaAs) and thin-film (a-Si:H, Si, Cu(In,Ga)(Se,S)2, CdTe). Recent advances, contributions, industry growth, and technological pathways for transformational now and near-term technologies (Si and primarily thin films) and status and forecasts for next-generation PV (nanotechnologies and non-conventional and "new-physics" approaches) are evaluated. The need for R&D accelerating the now and imminent (evolutionary) technologies balanced with work in mid-term (disruptive) approaches is highlighted. Moreover, technology progress and ownership for next generation solar PV mandates a balanced investment in research on longer-term (the revolution needs revolutionary approaches to sustain itself) technologies (quantum dots, multi-multijunctions, intermediate-band concepts, nanotubes, bio-inspired, thermophotonics, ${\ldots}$ and solar hydrogen) having high-risk, but extremely high performance and cost returns for our next generations of energy consumers. This presentation provides insights to the reasons for PV technology emergence, how these technologies have to be developed (an appreciation of the history of solar PV)-and where we can expect to be by this mid-21st century.

• Journal of Information Processing Systems
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• v.13 no.4
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• pp.778-804
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• 2017

Software today has become an inseparable part of our life. In order to achieve the ever demanding needs of customers, it has to rapidly evolve and include a number of changes. In this paper, our aim is to study the relationship of object oriented metrics with change proneness attribute of a class. Prediction models based on this study can help us in identifying change prone classes of a software. We can then focus our efforts on these change prone classes during testing to yield a better quality software. Previously, researchers have used statistical methods for predicting change prone classes. But machine learning methods are rarely used for identification of change prone classes. In our study, we evaluate and compare the performances of ten machine learning methods with the statistical method. This evaluation is based on two open source software systems developed in Java language. We also validated the developed prediction models using other software data set in the same domain (3D modelling). The performance of the predicted models was evaluated using receiver operating characteristic analysis. The results indicate that the machine learning methods are at par with the statistical method for prediction of change prone classes. Another analysis showed that the models constructed for a software can also be used to predict change prone nature of classes of another software in the same domain. This study would help developers in performing effective regression testing at low cost and effort. It will also help the developers to design an effective model that results in less change prone classes, hence better maintenance.