• Proceedings of the Korea Society for Industrial Systems Conference
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• 2000.11a
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• pp.375-389
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• 2000

Fuzzy logic ignores some information in the reasoning process. Neural networks are powerful tools for the pattern processing, but, not appropriate for the logical reasoning. To model human knowledge, besides pattern processing capability, the logical reasoning capability is equally important. Another new neural network called neural logic network is able to do the logical reasoning. Because the fuzzy inference is a fuzzy logical reasoning, we construct fuzzy inference network based on the neural logic network, extending the existing rule- inference. network. And the traditional propagation rule is modified. For the search strategies to find out the belief value of a conclusion in the fuzzy inference network, we conduct a simulation to evaluate the search costs for searching sequentially and searching by means of search priorities.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2018.05a
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• pp.72-73
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• 2018

The accuracy of contingency estimation plays an important role for dealing with the uncertainty of the financial success of construction project. Its' estimation may be used for various purposes such as schedule control, emergency resolve, and quality expense, etc. This paper presents a contingency estimation method which is schedule control specific. The method 1) implements stochastic EVMS, 2) detects a specific timing for schedule compression, 3) identifies an optimal strategy for shortening planned schedule, 4) finds a probability density function (PDF) of project cost overrun, and 5) estimates the optimal contingency cost based on the level of confidence. The method facilitates expeditious decisions involved in project budgeting. The validity of the method is confirmed by performing test case.

• The Journal of Fisheries Business Administration
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• v.45 no.2
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• pp.85-95
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• 2014

Fish stocking is important element of land-based aquaculture management. To maintain constant stocking rate considering biological and economic condition is a convenient strategy in intensive aquaculture. This study is aimed to analyze the effect of over-stocking(more than aquaculture capacity) for certain periods of time. This study make the mathematical decision making model that finds the value of decision variable to minimize cost that sums up the water pool usage cost and sorting cost under critical standing corp constraint. The proposed mathematical decision making model was applied to 12 sample combination of sorting cost and the number of fish on the Oliver flounder culture farms. If a immature fish can be sold for high price than farming cost, restricted over-stocking resulted in a improvement of economic performance. When extensive comparable biological and market data become available, analysis model can be widely applied to yield more accurate results.

• Journal of Construction Engineering and Project Management
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• v.2 no.2
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• pp.1-17
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• 2012

The automated construction machines have been recently developed to help solve the construction industry problems that significantly affect labour, productivity, quality, and profit. Despite the importance of performance analysis to commercialize the automated construction machines, previous studies have mainly concentrated on developing hardware and software of automated construction machines. This research now focuses on two objectives: (1) to propose an analysis model which can measure productivity, quality, and safety improvement rate of automated construction machines based on research and development (R&D); and (2) to develop a performance analysis system which will aid the evaluator in analysing the performance of automated construction machines. Finally, it is anticipated that the effective use of the performance analysis model and computerized system will ably develop the high-performance, automated construction machines and establish the marketing strategy to increase not only the commercial value but also the upkeep and development of construction machines.

• Industrial Engineering and Management Systems
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• v.11 no.3
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• pp.241-254
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• 2012

To gain competitive advantage in a fast changing environment, the higher education institution (HEI) must continuously adjust the strategies to that environment. One important strategy is how to determine appropriate practical actions based on what students really need and want. Despite the abundance of research on service quality management, there is no universal consensus on how best to determine appropriate practical actions in HEIs. The aim of this paper is to develop an integrated model to be used to accurately acquire the most critical service attributes and determine appropriate actions that promote student satisfaction. Drawing on relevant literature, an integrated model is proposed which is based on students' perspective by integrating the fuzzy SERVQUAL, refined Kano, and Blue Ocean model. Subsequently, an empirical case study in the higher education sector is described that illustrates the value of the model in determining the most critical attributes and how to improve them.

• Proceedings of the KIPE Conference
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• 2015.07a
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• pp.365-366
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• 2015

Shunt active power filter is a complete current source which can provide an effective and adjustable solution for elimination of harmonic currents in power system. Its performance depends on strategy employed in reference current generation, control technique and topology of converter used in the design.[1-2]. In this paper Three Phase Six switch Z-source rectifier with active power filtering capability based on instantaneous reactive power theory is described. Thanking to the theory power factor and THD value are significantly improved. Experiment results and conclusions are presented.

• Nuclear Engineering and Technology
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• v.54 no.9
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• pp.3283-3292
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• 2022

Based on the Deep Q-Network(DQN) algorithm of reinforcement learning, an active fault-tolerance method with incremental action is proposed for the control system with sensor faults of the once-through steam generator(OTSG). In this paper, we first establish the OTSG model as the interaction environment for the agent of reinforcement learning. The reinforcement learning agent chooses an action according to the system state obtained by the pressure sensor, the incremental action can gradually approach the optimal strategy for the current fault, and then the agent updates the network by different rewards obtained in the interaction process. In this way, we can transform the active fault tolerant control process of the OTSG to the reinforcement learning agent's decision-making process. The comparison experiments compared with the traditional reinforcement learning algorithm(RL) with fixed strategies show that the active fault-tolerant controller designed in this paper can accurately and rapidly control under sensor faults so that the pressure of the OTSG can be stabilized near the set-point value, and the OTSG can run normally and stably.

• Journal of the Korean Society of Clothing and Textiles
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• v.35 no.4
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• pp.408-420
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• 2011

This study identifies the fashion luxury customer segments grouped by expenditures and the number of purchasing brands to verify the effects of perceived luxury consumption values on the intention to maintain a brand relationship for each group. A survey questionnaire was developed and implemented to collect data to measure fashion luxury expenditures, number of purchasing brands, luxury customer values, intention to maintain brand relationships, and demographic variables. A total of 326 responses were analyzed by factor analysis, multiple regression, one-way ANOVA, and $X^2$ analysis with SPSS18.0. Respondents were grouped by luxury expenditures; in addition, the number of purchasing brands were grouped into four segments of Switching/Heavy (31.6%), Switching/Light (19.9%), Loyal/Heavy (31.3%), and Loyal/Light (7.2%) Customer Group, that was different in terms of age and marital status. When the luxury customer value for the most patronized luxury brand was factor analyzed, five distinctive sub dimensions were identified, such as Social Value, Aesthetic/Expressive Value, Experiential Value, Quality Value, and Economic Value. For the Loyal/Heavy Group, the Experiential Value had a significant effect on the customer intention to maintain a brand relationship. For the Loyal/Light group, the Aesthetic /Expressive and Economic Value had a significant effect, and for the Switching/Heavy and Switching/Light Group, Quality and Economic Value had a significant effect on the customer intention to maintain a brand relationship. In conclusion, each luxury customer value in the behavioral segments works differently in influencing the intention to maintain a brand relationship. In addition, the implications for retail strategy were discussed based on the findings.

• Journal of Contemporary Eastern Asia
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• v.20 no.1
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• pp.134-150
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• 2021

Dominant approaches to designing morally capable robots have been mainly based on rule-based ethical frameworks such as deontology and consequentialism. These approaches have encountered both philosophical and computational limitations. They often struggle to accommodate remarkably diverse, unstable, and complex contexts of human-robot interaction. Roboticists and philosophers have recently been exploring underrepresented ethical traditions such as virtuous, role-based, and relational ethical frameworks for designing morally capable robots. This paper employs the lens of ethical pluralism to examine the notion of role-based morality in the global context and discuss how such cross-cultural analysis of role ethics can inform the design of morally competent robots. In doing so, it first provides a concise introduction to ethical pluralism and how it has been employed as a method to interpret issues in computer and information ethics. Second, it reviews specific schools of thought in Western ethics that derive morality from role-based obligations. Third, it presents a more recent effort in Confucianism to reconceptualize Confucian ethics as a role-based ethic. This paper then compares the shared norms and irreducible differences between Western and Eastern approaches to role ethics. Finally, it discusses how such examination of pluralist views of role ethics across cultures can be conducive to the design of morally capable robots sensitive to diverse value systems in the global context.

• International Commerce and Information Review
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• v.14 no.3
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• pp.75-96
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• 2012

China will replace the global governance of the 21st century in 2050. The rise of China provide the Chinese development model to other developing countries. There are positive element and disability element in China's 'peaceful rise' strategy at the same time. Success of the reform and opening up, market liberalization, economic interdependency, economic globalization, stability of ruling power, consolidation of one-party rule and soft power increase are the promotions of peaceful rise. China's rise as a power nation begins by regaining the superpower status in East Asia. East Asia is a lebensraum assuring a continuing growth to China. For this lebensraum, China shows an interest in institutionalization of regional economic cooperation. The core values of ASEAN, namely the mutual respect, harmonious coexistence, co-prosperity, egalitarianism and pluralism are in conform to China's policy of harmonious world and peaceful coexistence. Through this common value the tension in East Asia will be alleviated. By the regional hegemony strategy based on soft power and economic success, China will try to regain the past glorious position. Attaining status as a coordinator of the world rule will be based on the success of the East Asian strategy. Korea and other neighboring countries will be the best beneficiary countries of the China's rise strategy. China's rising strategy will have a profound effect on neighboring countries especially, Korea. The scale of the movement of goods, labor, and capital between the two countries will become much larger than present. Through regional trade agreements, economic interdependency between Korea and China will increase.