• Journal of the Korean Institute of Gas
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• v.5 no.4 s.16
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• pp.8-20
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• 2001

Neoliberalism became a catch word of a post-cold war era. It began to develop in the middle of welfare state crisis in developed countries. It promoted both a unified world market through mutual penetration of national boundaries in International scene and maximization of efficiency through market competition in domestic scene. Privatization of public corporations is a major policy to pursue market efficiency through deregulation. Two reasons are often adduced to support the cause The socio-economic changes diminished the necessity to establish public corporation on the one hand. On the other hand gross inefficiency has been observed in the management of public corporation. 'Government failure' is an apt expression of the inefficiency. In analysing the experiences of privatization of utility industries of some other countries we found a couple of lessons for a Korean case. First, it is doubtful if privatization, that is a change in the form of ownership, is a necessary condition for achieving market efficiency. Because it is possible to operate a mechanism of market competition while maintaining competition among public corporations and with private actors. Second, the patron-agent dilemma is often cited as a major culprit of an inefficient management of public corporations. But it is without saying that the dilemma is also found in the management of private firms. So, the issue is not the privatization per se but to realize responsible management through discipline and incentives.

• Journal of the Korean Operations Research and Management Science Society
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• v.40 no.1
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• pp.91-116
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• 2015

This study aims to provide public sectors with eco-efficiency information. To implement the purposes of the study, environmental and economic variables of Eco-Efficiency were identified through decision tree model, then the relative Eco-Efficiencies of 243 public sectors were evaluated through input-oriented DEA (Data Envelopment Analysis) model. Specifically, the amount of public purchasing per a staff and the amount of energy use per a staff were considered as input factors. Sales per a staff was considered as output factor. The result shows that most of the public sectors (94.2%) were evaluated as "inefficient" taking into consideration of average value, 0.501 from market-based public corporations, 0.288 from local public corporations, 0.28 from quasi-market-based public corporations, 0.269 from fund-management-based quasi-governmental institutions, 0.09 from non-classified public institutions, and 0.078 from commissioned-service-based quasi-governmental institutions. Furthermore, it is possible to establish a plan for internal Eco-Efficiency improvement based on information of the reference set. In order to improve the Eco-Efficiency in the public sectors in the long term, environmental impacts of the overall public sectors' operations (e.g., energy saving, water saving, waste reduction, and purchasing of green products) needs to be properly proposed in consideration of BSC (Balanced Scorecard) indicators of public sectors.

• Journal of Internet Computing and Services
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• v.25 no.1
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• pp.39-48
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• 2024

Due to the outbreak of COVID-19, the domestic disinfection and quarantine market has grown, and the demand for disinfection operators who want to recruit disinfectants and disinfectants who want to work has increased, but it is not easy to find jobs. In addition, there is a need for a system that can automate or efficiently manage work by hand-recording and writing a disinfection record for disinfection work. Therefore, in this paper, an O2O disinfection service system is designed using the MVC pattern and implemented through MySQL, Ejs/BootStrap view, and Node.js. Additionally, it connects with AWS cloud services so users can use the system anytime, anywhere. Through the proposed O2O disinfection service system, we hope to solve the difficulties of recruiting personnel in the domestic disinfection station market and improve the existing inefficient disinfection work process.

• Korean Journal of Computational Design and Engineering
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• v.16 no.4
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• pp.260-267
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• 2011

Nowadays, automobile manufacturers are faced with increasing global competition which is required low cost as well as high quality. To reduce shipping and handling cost and delivery time, lots of automobile manufactures tried to build their new factory in the neighborhood of market. Simultaneously, many factories are under construction in developing countries to make efficient use of low-wage workers. However, because systems are installed in developing countries as the same type of domestic facilities, systems have lots of problems such as high installation cost and inefficient use of manpower. To find core problems and generate optimal solution of these problems, thinking process of TOC(Theory Of Constrains) is used. In case of transmission gear machining system, semi-auto system is proposed as the best solution to increase manpower efficiency and system utilization. Semi-auto system consists of automatic machining process and manual transporting process. The system layout is generated based on semi-auto process concept. And, 3D simulation method using QUEST is used to verify production volume of generated system.

• Journal of Korea Port Economic Association
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• v.23 no.4
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• pp.216-227
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• 2007

The aim of this paper is to find out the nature of causality between the two ocean freights employing the Granger method. That is because the Baltic freights tend to move very closely and seem to be behave like one time series. The Granger causality test, however, is very sensitive to the number of lags used in the analysis. This means that one has to be very careful in implementing the Granger causality test. This paper, hence, uses more rather than the lags which the Akaike Information Criterion and the Schwarz Information Criterion suggest. This study shows that BPI does not "Granger-cause" BCI and BSI, but BCI and BSI Granger-cause BPI. I also discover that BHSI does not "Granger-cause" BPI and BSI, but BPI and BSI Granger-cause BHSI. I, hence, model and estimate the ocean freight function and show that the Baltic ocean freight market is inefficient and the biased estimator of the other freight.

• 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.

• Proceedings of the KIEE Conference
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• 2005.07c
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• pp.2427-2429
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• 2005

OLED in the spotlight of display market has advantages of low power driving, self-emission and fast response. But it has disadvantages of inefficient luminescence and high power consumption. Most of PM(passive Matrix) DC-DC converters in common use is using voltage divider. This voltage divider type has some difficulties of suitable electric device selection for voltage division and of the stabilized output due to feedback current trimming. Therefore, noise analysis and power solution in OLED are important technologies having an effect on electric characteristics. In this dissertation, we have obtained the stable output by using digital signals in multi-channel DC-DC converter, the profit of power consumption reduction of driving source and economical efficiency in the PCB board size.

• Journal of Labour Economics
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• v.43 no.4
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• pp.87-116
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• 2020

This study empirically investigates the possible negative relationship between the number of job offers and the job satisfaction in the Korean labor market, using the Korea Labor Income Panel Study, where the number of job offers of young workers are collected in the third wave. Results show that the number of job offers is negatively related to every year job satisfaction, this effect is smaller for higher earning and older individuals, and there is a gender heterogeneity. We discuss that having more job offers does not necessarily increase the workers' utility, which is a general monotonic assumption in the traditional economics. We suggest that having a large number of job offers allowing them to choose the best option can be inefficient itself, and therefore it is better to focus on qualitative matching rather than increasing just the absolute number of job opportunities.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.6
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• pp.105-114
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• 2022

With the help of this study, we aim to investigate the influence of Financial Distress (FD) and information and communication technology (ICT) on the operating performance and efficiency of banks in the Indian banking sector. FD can be defined as a position in which a company or individual is not in a condition to fulfill their promise of paying their obligations on time. The term "financial distress" refers to a situation in which a corporation or individual is unable to keep their promise of paying their debts on time. In this work, panel data analysis (PDA) was used to analyze data from 33 Indian banks over ten years (2010 to 2019). According to the findings, FD has a positive and significant impact on bank operational performance and efficiency. The current study will give the banking industry a better understanding of how a bank's performance can be negatively impacted by distressing conditions that render it inefficient and ineffective. Second, it will show investors how the level of distress can have a significant impact on bank performance in the market, finally resulting in the loss of money invested.

• Journal of Distribution Science
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• v.9 no.2
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• pp.83-95
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• 2011

Conventional markets in Korea have played a pivotal role in the vitalization of local communities and economies along with the distribution of products. Although many people believe the markets to be disorderly, they are lively and provide local people with things to enjoy, watch and buy. However, superstores have undergone a mushrooming proliferation since Korea opened its gates to multinational superstores in 1996. This phenomenon has caused a crisis for Korea's conventional markets. They have lost their competitiveness because of this environmental change, inefficient management, and their outmoded facilities. Government efforts to revitalize the markets have centered on redevelopment of the facilities, a perspective that has caused not only the fall of the old business districts but also the decline of the distribution function. Under these conditions, the traditional market has re-entered into competition. The Korean government enacted a special law to revitalize the conventional markets and has been implementing many policies to support them since 2003. In 2009, the government amended the law and adopted the Business Improvement District System. The government also changed the official term from 'old markets' to 'Conventional markets'. Despite this legal amendment, though, we still need to re-establish the concept of the Conventional market. Historically, markets grew up spontaneously to dispose of surplus products. Some manmade markets were established through urban planning or as public facilities. Their businesses transactions have always been based on mutual trust between consumers and trades people, the traditional way of commercial dealing. Conventional markets can be defined, then, as creatures of societal necessity where transactions for services and products are based on mutual trust. Problematically, unlisted markets are left out of government support. Although unlisted markets have performed almost the same functions as listed markets, they exist only as a statistic as far as the special law is concerned. In some areas, there are more unlisted markets than unlisted ones. Therefore, it is necessary to establish systematic management methods for the unlisted markets. Some unlisted markets received support in the form of facility improvement from local governments' budgets in the early stage of the special law's enforcement. The current government also assists with safety issues involving unlisted markets; however, the current special law provides no legal framework for unlisted markets. Moreover, consumers cannot tell the difference between unlisted markets and listed ones. Finding a solution to this problemrequires new standards and a wider scope of support by which the efficiency of the market improvement support system might be enhanced.