• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.5
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• pp.409-416
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• 2020

Artificial intelligence, which is in the spotlight as the core driving force of the 4th industrial revolution, is expanding its scope to various industrial fields such as smart factories and autonomous driving with the development of high-performance hardware, big data, data processing technology, learning methods and algorithms. In the field of defense, as the security environment has changed due to decreasing defense budget, reducing military service resources, and universalizing unmanned combat systems, advanced countries are also conducting technical and policy research to incorporate artificial intelligence into their work by including recognition systems, decision support, simplification of the work processes, and efficient resource utilization. For this reason, the importance of technology-driven planning and investigation is also increasing to discover and research potential defense future technologies. In this study, based on the research data that was collected to derive future defense technologies, we analyzed the characteristic evaluation indicators for future technologies in the field of artificial intelligence and conducted empirical studies. The study results confirmed that in the future technologies of the defense AI field, the applicability of the weapon system and the economic ripple effect will show a significant relationship with the prospect.

• Journal of the Korean Society of Marine Environment & Safety
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• v.20 no.1
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• pp.86-95
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• 2014

Productivity improvement of a shipbuilding company depends on how efficiently its limited resources are managed and utilized. Recently, research on modeling and simulation (M&S) to support shipyard production management system has been being under study. The production management based on M&S rejects decision making on experience, and it can establish productivity improvement method based on quantitative and specific data. In this paper, M&S is applied to the long-term plan as a part of the production planning in shipyards. To this end, the long-term plan processes and related management systems are analyzed. Based on the analysis, a simulation model and an application system using commercial simulation software are suggested. And basic structure of the suggested system is based on web technology such as Rich Internet Application, web services protocol for compatibility with existing shipyard enterprise systems. Utilizing the results of this study, it is expected that shipyard production planners can settle down work flow, in which one can establishes the production plan, simulates the plan, and analyzes the results, enabling a more reliable production plans.

• Management & Information Systems Review
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• v.34 no.3
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• pp.179-196
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• 2015

The purpose of this study is to examine the influence of variable cash compensation depending on short-term performances instead of stock compensation for the executives on the investment in tangible assets, investment and R&D, and profit reconciliation. The detailed objectives of the study include, first, to examine the influence of the cash compensation on investment in tangible assets and profit reconciliation depending on the characteristics of the company and, second, to examine the influence of cash compensation on the profit reconciliation of the investment in R&D depending on the characteristics of the company. The results of the analysis in this study can be summarized as follows; Firstly, the result of the positive analysis, as the compensation for the executives increased, by the characteristics of the companies conducted on the significant 'positive' (+) on the investment in R&D and the profits reconciliation showed that the high tech industry and the share ratio of the executives did not show a significant result, while the debt ratio showed a significantly positive result. Secondly, the result of the positive analysis, as the compensation for the executives increased, by the characteristics of the companieson the significant 'positive' (+) of the investment in tangible assets and reconciliation of profits showed that the high-tech industry did not show a significant result, while the hypothesis on the share ratio of the executives and the hypothesis on the debt ratio showed results that are significantly positive as expected. In other words, it can help Korean companies, which have to investment in R&D and tangible assets to increase their competitiveness and promote future growth dynamics, to design a manager compensation system that is appropriate for our country to support efficient investment decision-making.

• Management & Information Systems Review
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• v.39 no.3
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• pp.83-98
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• 2020

This study analyzes how investors' irrational behavior (or pessimistic sentiment) affects stock market returns and investors' market activity using mass media that delivered public information from January 1998 to December 2012 as a sample. According to pessimistic investor theory, investor pessimism leads to downward pressure on the price of equity capital, thereby making market sentiment pessimistic and lowering market yields. It also shows that investor pessimism increases transaction costs in the market, which in turn dampens investors' trading activities. In other words, pessimistic reporting on public information disseminated by mass media induces investors to act irrationally, eventually having a direct impact on the stock market. This study conducted an empirical analysis of the existing theoretical and empirical studies using domestic mass media as a sample. First, the study revealed a negative correlation between pessimistic reporting and returns as well as excess returns, while it did not show statistically significant results. Second, evidence has been suggested that pessimistic sentiment in the stock market has a negative impact on future pessimistic reporting by mass media. Third, the analysis of the impact of pessimistic reporting on investors' market activity using proxy variables for various market activities found that pessimism dampens market activity, while it did not show statistically significant results. It is assumed that low statistical significance is due to the fact that sample collection was carried out on a monthly basis. While the results of the study have low statistical significance, statistical signs support predictions of the theory.

• The KIPS Transactions:PartD
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• v.10D no.2
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• pp.233-246
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• 2003

The mediator-based system integrates heterogeneous information systems with the flexible manner. But it does not give much attention on the query optimization issues, especially for the query reusing. The other thing is that it does not use standardized metadata for schema matching. To improve this two issues, we propose mediator-based Distributed Information Integration System (DIIS) which uses query caching regarding performance and uses ISO/IEC 11179 metadata registry in terms of standardization. The DIIS is designed to provide decision-making support, which logically integrates the distributed heterogeneous business information systems based on the Web environment. We designed the system in the aspect of three-layer expression formula architecture using the layered pattern to improve the system reusability and to facilitate the system maintenance. The functionality and flow of core components of three-layer architecture are expressed in terms of process line diagrams and assembly line diagrams of Eriksson Penker Extension Model (EPEM), a methodology of an extension of UML. For the implementation, Supply Chain Management (SCM) domain is used. And we used the Web-based environment for user interface. The DIIS supports functions of query caching and query reusability through Query Function Manager (QFM) and Query Function Repository (QFR) such that it enhances the query processing speed and query reusability by caching the frequently used queries and optimizing the query cost. The DIIS solves the diverse heterogeneity problems by mapping MetaData Registry (MDR) based on ISO/IEC 11179 and Schema Repository (SCR).

• Journal of the Korean Institute of Intelligent Systems
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• v.26 no.6
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• pp.433-438
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• 2016

This paper proposes a grade prediction method to measure meat quality in Hanwoo (Korean Native Cattle) using classification and feature extraction algorithms. The applied classification algorithm is an AdaBoost and the texture features of the given ultrasound images are extracted using SFTA. In this paper, as an initial phase, we selected ultrasound images of Hanwoo for verifying experimental results; however, we ultimately aimed to develop a diagnostic decision support system for human body scan using ultrasound images. The advantages of using ultrasound images of Hanwoo are: accurate grade prediction without butchery, optimizing shipping and feeding schedule and economic benefits. Researches on grade prediction using biometric data such as ultrasound images have been studied in countries like USA, Japan, and Korea. Studies have been based on accurate prediction method of different images obtained from different machines. However, the prediction accuracy is low. Therefore, we proposed a prediction method of meat quality. From the experimental results compared with that of the real grades, the experimental results demonstrated that the proposed method is superior to the other methods.

• Korean Journal of Construction Engineering and Management
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• v.9 no.3
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• pp.164-174
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• 2008

It is crucial In decision making to select a project delivery system (PDS) adjusted accordingly to the project characteristics. Furthermore, selecting a tendering system is the kernel in the process of selecting PDS. In October 2007, the Ministry of Finance and the Economy of Korea launched two new project delivery systems, "Best Value Contract (Design-Bid-Build)" and "Bridging Contracts (Design-Build)" by revising enforcement ordinances of "Act on Contracts to Which the State is a Party" to provoke the tendering systems. In order to support the proposed purpose, this research developed a selection model for suitable tendering system, which helps a public owner select a tendering system appropriate to the project characteristics. First, the framework of the model was set throughout analyzing previous researches and interviewing relevant experts. Additionally, by analyzing the survey result from 265 experts engaged in architectural and civil engineering business, the relative weights of the selection factors and the effectiveness values of the alternatives were suggested as the quantitative evaluation references. Finally, the practical guideline was suggested to apply this model to three public projects scheduled to be delivered. The result of applying the model to three case projects showed that further researches were needed to make the selection process logical and to suggest the standard weights and effectiveness values according to project type.

• Journal of Korean Philosophical Society
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• v.123
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• pp.309-346
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• 2012

The trust toward the researchers and their study activities in society has faltered, in the wake of the paper fabrication event of researcher, Hwang Woo-Suk's doctor research team. After the event, researcher community and scientific community have experienced many changes through the self-reflection or the process of insight meditation. Until now, we have experienced that when researcher community leads the way to try to show their efforts to eliminate the raised doubts throughly, the public support toward researcher community and the trust in its study activity have not faltered. Nevertheless, the path for the researchers to go is still far and rough because the opposite cases coping with research misconducts passively are much more. Therefore It's urgent that misconducts in the research and learning should be avoided from unnecessary overinterpretation. To practice it, above all it's important how well researcher or learner should be equipped with a system where decision is made autonomously and reasonably, regardless of the interests from all fields including politic, economic and social etc. It's also required that their systems should be meticulous enough to prevent such irrationality in advance before the misconduct instances are depreciated. In this context, I will investigate the reason why research and development on norms in research ethics and learning ethics is meaningful, not in a posteriori but a priori dimension, as the way to have researcher and learner prepare autonomous self-purification systems. It's essential that for the progress of an obvious argument, first, what research ethics and learning ethics are should be established and defined distinctly(2). Then in the process, it is also examined why research ethics and learning ethics need norms(3). Subsequently I will conclude the paper, arguing the reason why research ethics and learning ethics should be justified(4), if the norms in research ethics and learning ethics can be formulated(5).

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.18 no.2
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• pp.29-43
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• 2019

The calibration of microscopic traffic simulation models has received much attention in the simulation field. Although no standard has been established for it, a genetic algorithm (GA) has been widely employed in recent literature because of its high efficiency to find solutions in such optimization problems. However, the performance still falls short in simulation analyses to support fast decision making. This paper proposes a new calibration procedure using a dual GA and central composite design (CCD) in order to improve the efficiency. The calibration exercise goes through three major sequential steps: (1) experimental design using CCD for a quadratic response surface model (RSM) estimation, (2) 1st GA procedure using the RSM with CCD to find a near-optimal initial population for a next step, and (3) 2nd GA procedure to find a final solution. The proposed method was applied in calibrating the Gipps car-following model with respect to maximizing the likelihood of a spacing distribution between a lead and following vehicle. In order to evaluate the performance of the proposed method, a conventional calibration approach using a single GA was compared under both simulated and real vehicle trajectory data. It was found that the proposed approach enhances the optimization speed by starting to search from an initial population that is closer to the optimum than that of the other approach. This result implies the proposed approach has benefits for a large-scale traffic network simulation analysis. This method can be extended to other optimization tasks using GA in transportation studies.

• KIPS Transactions on Computer and Communication Systems
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• v.11 no.8
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• pp.249-258
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• 2022

Since the advent of Bitcoin, various virtual assets have been actively traded through virtual asset services of virtual asset exchanges. Recently, security accidents have frequently occurred in virtual asset exchanges, so the government is obligated to obtain information security management system (ISMS) certification to strengthen information protection of virtual asset exchanges, and 56 additional specialized items have been established. In this paper, we compared the domain importance of ISMS and CryptoCurrency Security Standard (CCSS) which is a set of requirements for all information systems that make use of cryptocurrencies, and analyzed the results after mapping them to gain insight into the characteristics of each certification system. Improvements for 4 items of High Level were derived by classifying the priorities for improvement items into 3 stages: High, Medium, and Low. These results can provide priority for virtual asset and information system security, support method and systematic decision-making on improvement of certified items, and contribute to vitalization of virtual asset transactions by enhancing the reliability and safety of virtual asset services.