• The Journal of the Korea institute of electronic communication sciences
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• v.10 no.3
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• pp.349-356
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• 2015

Remote monitoring partial discharge sensor, equipping with hybrid filter combining optical and electrical noise reduction capabilities and with signal integrating function to calculate total arc energy, was investigated. Hybrid filter showed insensitivity to fluorescent and incandescent lamps under simulated distribution panel condition. Signal integrating function showed selective detection capability corresponding to different arc energy levels, while convention arc sensor had difficulty to discriminate arc energy level due to bursty arc waveform and peak level detection characteristics. The sensor showed possibility for application to remote monitoring partial discharge sensor, since it detected arc energy level corresponding to normal open and close discharge in low voltage 100A MCCB at 2m distance.

• The Journal of Information Systems
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• v.18 no.3
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• pp.89-110
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• 2009

In today's e-business environment, it is important to make decisions cooperatively between companies on a supply chain for their business success. This research analyzes empirically the influences of organizational factors on joint decision making and the ones of the joint decision making on business performance. We collected 188 corporate-level data through a Web survey and tested them statistically through PLS method based on a structured equation modeling. The results showed that (i) partner's knowledge creation capabilities, inter-organizational process modularity, and inter-organizational trust had direct effects on joint decision making, (ii) joint decision making and electronic business interfaces bad direct impacts on business performance. Contrary to our expectation, however, the moderating effects of electronic business interfaces between corporations on the relationship between joint decision making and business performance was not significant. On the basis of these results, we discussed theoretical and managerial implications of the findings. The results are expected to provide useful perspectives when companies establish strategies to improve capabilities of cooperative decision making and business performance.

• 제어로봇시스템학회:학술대회논문집
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• 1992.10b
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• pp.79-84
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• 1992

Path planning is an important task for optimal motion of a robot in structured or unstructured environment. The goal of this paper is to plan the optimal collision-free path in 3D, when a robot is navigated to pick up some tools or to repair some parts from various locations. To accomplish the goal, the Path Coordinator is proposed to have the capabilities of an obstacle avoidance strategy and a traveling salesman problem strategy (TSP). The obstacle avoidance strategy is to plan the shortest collision-free path between each pair of n locations in 2D or in 3D. The TSP strategy is to compute a minimal system cost of a tour that is defined as a closed path navigating each location exactly once. The TSP strategy can be implemented by the Hopfield Network. The obstacle avoidance strategy in 2D can be implemented by the VGraph Algorithm. However, the VGraph Algorithm is not useful in 3D, because it can't compute the global optimality in 3D. Thus, the Path Coordinator is used to solve this problem, having the capabilities of selecting the optimal edges by the modified Genetic Algorithm and computing the optimal nodes along the optimal edges by the Recursive Compensation Algorithm.

• East Asian Journal of Business Economics (EAJBE)
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• v.7 no.1
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• pp.17-25
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• 2019

Purpose - The international market provides a growth momentum for firms by allowing them to tap into a new market. Given information asymmetry between firms and financial analysts, firms' international growth can be perceived as a higher business prospect by analysts. This paper explores the possibility of analysts' over-emphasis on foreign income growth in predicting earnings. Research design, data, and methodology - We utilize a sample of U.S. firms to test the relationship between foreign income growth and analysts' forecast optimism. Our sample of publicly listed and traded U.S. firms between 1976 and 2016 consists of 6,120 firm-year observations. Results - Empirical analyses show that firms that show higher international growth in earnings are likely to face forecast inaccuracy by financial analysts. From the perspective of firms, their earnings are less than what analysts forecasted. Contrary to our prediction on the moderating effect of innovative capabilities, optimistic bias is not intensified - rather, it is reduced - when firms have higher innovative capabilities. Conclusions - Our results imply that while analysts favor firms with higher international growth, innovative capability on the international market places additional risks to firms' operation.

• 한국지구물리탐사학회:학술대회논문집
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• 2003.11a
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• pp.684-689
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• 2003

One field identified by an inverse method is one of multiple candidate solutions those are independently obtained through a specific estimation technique. While averaging of optimized fields can provide a better description of the spatial feature of an unknown field, it deteriorates the flow and transport characteristics of the optimized fields. As a result, the averaged field is not suited for modeling aquifer performances. Based on genetic algorithm, an optimal field synthesis technique is developed, which combines diversely optimized fields into a refined group of fields. Each field in the population is paired, and a sub-region of each field is exchanged by crossover operation to create a group of synthesized fields of enhanced modeling capability. The population of the fields is evolved till the synthesized fields become sufficiently similar. Applications of the optimal field synthesis to synthetic cases indicate that the objective functions of the fields assessing the modeling capabilities are further reduced after the optimal field synthesis. The identified fields from various inverse techniques may yield a range of modeling results under varied flow situations. The uncertainty is narrowed down through the optimal field synthesis and the associated modeling results converge on that of the reference field. The developed inverse modeling facilitates the construction of a reliable simulation model and hence trustworthy predictions of the future performances.

• Mass Spectrometry Letters
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• v.3 no.3
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• pp.63-67
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• 2012

The need of heavy and unconventional crude oil as an energy source is increasing day by day, so does the importance of petroleomics: the pursuit of detailed knowledge of heavy crude oil. Crude oil needs techniques with ultra-high resolving capabilities to resolve its complex characteristics. Therefore, ultra-high resolution mass spectrometry represented by Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR MS) has been successfully applied to the study of heavy and unconventional crude oils. The analysis of crude oil with high resolution mass spectrometry (FT-ICR MS) has pushed analysis to the limits of instrumental and methodological capabilities. Each high-resolution mass spectrum of crude oil may routinely contain over 50,000 peaks. To visualize and effectively study the large amount of data sets is not trivial. Therefore, data processing and visualization methods such as Kendrick mass defect and van Krevelen analyses and statistical analyses have played an important role. In this regard, it will not be an overstatement to say that the success of FT-ICR MS to the study of crude oil has been critically dependent on data processing methods. Therefore, this review offers introduction to peotroleomic data interpretation methods.

• The Journal of Korean Association of Computer Education
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• v.4 no.1
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• pp.109-118
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• 2001

The change of job environments with information technologies demands workers' capabilities to adapt rapidly changing and variety of work environments. To cope with this situation, many countries and institutions propose 'basic vocational competency' which is focused on basic capabilities of workers. And also, they do research on how to educate and train students to be prepared for new environments. We surveyed with teachers of computer technology which is one of the information technologies, to find out the competency development level, they expressed negative view on general competency development because of current computer education's focusing on 'using computers to process information'. Therefore, we intended to analyze the necessity and problem of developing the whole basic vocational competency in vocational high school and proposed a 'in context' learning for it.

• Korean Management Science Review
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• v.32 no.3
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• pp.71-89
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• 2015

This research empirically investigated the influence factors on the activation of environmental innovations (EI) in Korean manufacturing firms. In this study, external factors (compulsory demand, government regulation, normative pressure and imitative pressure) and internal factors (environmental resources, top management support, integration of environmental tasks, capabilities of environmental personnel, and environmental strategy/environmental management systems) were totally considered. The results of a multiple regression analysis showed that influence factors such as top management support, environmental resources and integration of environmental tasks have a significant and positive impact on levels of EI. However, the effects of external factors were not statistically significant. We also examined whether capabilities of environmental personnel as well as environmental resources, which are directly related with degrees of EI, have a moderating impact on relationships between other internal factors and levels of EI. With a subgroup analysis, the moderating role of abilities of environmental personnel were empirically confirmed. Through a multiple regression analysis, the direct effects of external factors on the adoption or construction of internal factors were demonstrated. The effects of government regulation, normative pressure and imitative pressure on internal factors were significant and positive. It was also found that external factors have indirect effects on EI through internal factors. Finally, the results of multiple regression analyses indicated that EI positively influences the achievement of environmental competitive benefits, and environmental competitive advantages can improve the organizational performance of a firm.

• Korean Management Science Review
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• v.26 no.2
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• pp.113-134
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• 2009

Rapid knowledge change, heightened competition. and shortened product life cycles are just a few of the constants faced by many buying firms in today's markets. Many buying firms have responded to these conditions by outsourcing non-core activities. The Quality and cost of a product or service offered in the market is a function, not only of the capabilities of the firm, but also of the network of suppliers who provide inputs to the firm. When a firm finds its suppliers lacking in performance it can help suppliers to develop their capabilities. There are three main goals for this study. The first goal is to identify the important factors that precede and influence firms' investment in knowledge transfer activities. The second goal is to investigate the relationship between knowledge transfer activities and the consequences of knowledge transfer activities. The last goal is to explore the effects of knowledge change speed. To analyze the validity of the research model and the hypotheses. the data are collected from 238 manufacturing firms through the administration of structured Questionnaires. The results of structural equation model analyses indicate that the model is generally valid and 11 of 14 hypotheses are supported by the data. Reasons for and implications of these observed relationships are discussed.

• Asia pacific journal of information systems
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• v.13 no.1
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• pp.73-101
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• 2003

Firms can create additional customer values by changing the visibility characteristic of business transactions. Both visible and invisible transactions can provide distinctive values to the customers. Visible transactions are those that are open to the customer: the customer can see the detailed logic of the transaction and may manipulate specific variables to control the transaction process. Invisible transactions mean that customers have little ability to control the transaction flow and may even be insulated from seeing the transaction. These invisible transactions will be taken care of only by suppliers, and be regarded as a process performed by suppliers. This paper pursues finding out the contingencies of successful transaction visibility change by answering to the following question; "when does increasing(or decreasing) transaction visibility make sense to customers?" This archival case study finds out that transaction visibility change should fit to the need and capabilities of customers. Increasing transaction visibility makes sense when customers need a certain supplier's performance and have a confidence in the capabilities of executing the performance. By the same token, decreasing transaction visibility makes sense when customers have substantial troubles in conducting their current transaction actions or when customers don't feel it necessary to conduct them separately because they can be derived from other action.