• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.16 no.3
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• pp.39-46
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• 2016

For several decades, Korean corporations have achieved remarkable success in the world market pursuing a quantitative growing strategy by benchmarking developed countries such as the United States, Japan and European Union. Recently, however, since not only the world economy enters into low growth age of New Normal, but the continuously increasing pressure of emerging countries like China and India, the global position of Korean corporations has ruffled. For these reason, the purpose of the study based on searching the strategy for Korean corporations to promote sustainable growth while gaining a competitive advantage in the world market. The study uses two analytical tools, Porter's Diamond Model and Productivity Frontier by analyzing the smart phone industry where Korea, the United States and China are competing desperately. The study is aimed at analyzing and comparing the global competitiveness among Apple as a leader, Samsung Electronics as a follower and Chinese corporations as newcomers in the smart phone industry. Based on the analysis and comparison, the study focuses on searching the strategic decision of Samsung Electronics, and suggests the future strategic positioning of major corporations in different industries in the world market.

• Journal of the Korean Institute of Intelligent Systems
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• v.26 no.1
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• pp.56-63
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• 2016

In this study, we introduce a design of Fuzzy RBFNNs-based digit recognition system using the incremental-PCA in order to recognize the handwritten digits. The Principal Component Analysis (PCA) is a widely-adopted dimensional reduction algorithm, but it needs high computing overhead for feature extraction in case of using high dimensional images or a large amount of training data. To alleviate such problem, the incremental-PCA is proposed for the computationally efficient processing as well as the incremental learning of high dimensional data in the feature extraction stage. The architecture of Fuzzy Radial Basis Function Neural Networks (RBFNN) consists of three functional modules such as condition, conclusion, and inference part. In the condition part, the input space is partitioned with the use of fuzzy clustering realized by means of the Fuzzy C-Means (FCM) algorithm. Also, it is used instead of gaussian function to consider the characteristic of input data. In the conclusion part, connection weights are used as the extended diverse types in polynomial expression such as constant, linear, quadratic and modified quadratic. Experimental results conducted on the benchmarking MNIST handwritten digit database demonstrate the effectiveness and efficiency of the proposed digit recognition system when compared with other studies.

• Korean Journal of Construction Engineering and Management
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• v.14 no.4
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• pp.35-45
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• 2013

Facility Management is the longest in the building of life cycle. Because it occupies more than 80% of cost, the phase of Facility Management has to be managed and has to be perceived as important as design and construction phase. The method to manage building more efficiently is the introduction of Facility Management System used by CAD and database. But information Requirement is now input by hand in the most Facility Management System. This study aims to analyze the example of applying BIM in the Korea or abroad and the errors of this were deducted by many phase. Lastly, the possible solution is suggested in order to be used in the Facility Management System. This study's benchmarking is COBIE which is developed by the COE(Corps of Engineers) and now popular in the world. The suggestion in this study is the method that I have already mentioned is helpful for a designer to do modeling when a designer uses BIM S/W(software). To be more specific, the method plays a side role in helping data input considering the phase of Facility Management.

• Korean Journal of Construction Engineering and Management
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• v.14 no.4
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• pp.130-139
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• 2013

Construction accident rates are reflected in the pre-qualification of public construction projects in order to prevent accidents and facilitate the safety management of construction companies. However, the construction industry is still experiencing an increase in accident rates. Hence, there is a need to strengthen existing safety evaluation systems and requirements in public construction tendering. The objective of this study was to acquire and provide basic data for benchmarking to select tenderers in domestic public construction projects. In Singapore and Japan, safety evaluation systems and requirements are applied based on various aspects in order to screen tenderers. These evaluation systems include safety regulations and institutional requirements, as well as safety performance and safety management plans of respective construction projects. This study recommends that korean public construction projects also apply similar safety evaluation systems which include comprehensive safety criteria in order to decrease accident rates in the industry.

• Journal of Korea Port Economic Association
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• v.28 no.1
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• pp.53-82
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• 2012

The purpose of this paper is to show the clustering trend by using the context-dependent and measure-specific models for 38 Asian ports during 10 years(2001-2009) with 4 inputs and 1 output. The main empirical results of this paper are as follows. First, clustering results by using context-dependent and measure-specific models are same. Second, the most efficient clustering was shown among the Hong Kong, Singapore, Ningbo, Guangzhou, and Kaosiung ports. Third, Port Sultan Qaboos, Jeddah, and Aden ports showed the lowest level clustering. Fourth, ranking order of attractiveness is Guangzhou, Dubai, HongKong, Ningbo, and Shanghai, and the results of progressive scores confirmed that low level ports can increase their efficiency by benchmarking the upper level ports. Fifth, benchmark share showed that Dubai(birth length), and HongKong(port depth, total area, and no. of cranes) have affected the efficiency of the inefficient ports.

• Journal of the Korea Convergence Society
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• v.8 no.7
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• pp.183-189
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• 2017

This research aims to inquire about local festival culture contents of France which are considered a successful case of cultural contents industry and will make a diagnosis regarding the applicability and concomitant problems in our country. It reviews French local festival and culture contents, represented by Bordeaux wine Festival. This research analyses the structure of storytelling and the emotional factors as communication and experience tool of historical and cultural resources in terms of cultural semiotics. The findings are as follows: First, it is about a strategy linked with historical and cultural resources as a package touristic product made of the tradition, history, cultural heritage, arts and winery experience. Second, it is about a storytelling strategy. The status of Bordeaux wine holds a splendid story originated in long historical background and benefits of nature. Third, it is about a strategy oriented to communication and experience. Fourth, it is about a strategy inducing fun and fantasy. A festival is a form of a play, and the play is the culture itself. The revitalization of local festivals which allow the increment of one's most personal happiness index is estimated to have the most crucial values and significance. Finally, the cases of European local festivals are considered to be worth benchmarking in many different domains in the sense that they create new contents by making interesting stories adapted from the past history.

• Journal of the Korea Society of Computer and Information
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• v.21 no.6
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• pp.9-19
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• 2016

In finance literature, stock liquidity showing how stocks can be cashed out in the market has received rich attentions from both academicians and practitioners. The reasons are plenty. First, it is known that stock liquidity affects significantly asset pricing. Second, macroeconomic announcements influence liquidity in the stock market. Therefore, stock liquidity itself affects investors' decision and managers' decision as well. Though there exist a great deal of literature about stock liquidity in finance literature, it is quite clear that there are no studies attempting to investigate the stock liquidity issue as one of decision making problems. In finance literature, most of stock liquidity studies had dealt with limited views such as how much it influences stock price, which variables are associated with describing the stock liquidity significantly, etc. However, this paper posits that stock liquidity issue may become a serious decision-making problem, and then be handled by using data mining techniques to estimate its future extent with statistical validity. In this sense, we collected financial data set from a number of manufacturing companies listed in KRX (Korea Exchange) during the period of 2010 to 2013. The reason why we selected dataset from 2010 was to avoid the after-shocks of financial crisis that occurred in 2008. We used Fn-GuidPro system to gather total 5,700 financial data set. Stock liquidity measure was computed by the procedures proposed by Amihud (2002) which is known to show best metrics for showing relationship with daily return. We applied five data mining techniques (or classifiers) such as Bayesian network, support vector machine (SVM), decision tree, neural network, and ensemble method. Bayesian networks include GBN (General Bayesian Network), NBN (Naive BN), TAN (Tree Augmented NBN). Decision tree uses CART and C4.5. Regression result was used as a benchmarking performance. Ensemble method uses two types-integration of two classifiers, and three classifiers. Ensemble method is based on voting for the sake of integrating classifiers. Among the single classifiers, CART showed best performance with 48.2%, compared with 37.18% by regression. Among the ensemble methods, the result from integrating TAN, CART, and SVM was best with 49.25%. Through the additional analysis in individual industries, those relatively stabilized industries like electronic appliances, wholesale & retailing, woods, leather-bags-shoes showed better performance over 50%.

• Science of Emotion and Sensibility
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• v.20 no.4
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• pp.79-88
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• 2017

As the age in which the importance of sensitivity has increased, education for the future generation regarding emotion engineering, affective recognition and cognitive science have taken center stage. We measure human's emotion quantitatively, analyze evaluation and apply them to various services in life, which are based on human technology. Therefore, we need the education which is related to emotion science to cultivate talented people. The goal of this paper is to suggest the possibility of emotion science education and effective methods through development of the STEAM (Science, Technology, Engineering, Arts, Mathematics) program which can teach emotion science to early elementary school students by applying it to pilot classes. For this study, first, we build a program, 'The mind made by figure' for student of early elementary school. The method of STEAM was used in this program, because it is an effective system to educate the emotion science. We recognize the needs and value of this program development through theory and benchmarking of STEAM related to emotion science. And then the contents of class, activities, course book and kit are designed with elementary school textbook of pertinent grade. Secondly, we analyze the result which is applied in two pilot classes of second grade by satisfaction survey and teacher interview. As a result, the average of satisfaction level was very high (4.40/5), Class participation was especially high. Third, we discuss the ability, value and limits of this program based on the result of analysis. The outcome of this research shows that students of early elementary school who have difficulty in understanding science can approach the education program related to emotion science with ease and interest. We hope this education will help students understand emotion science effectively, and to train people to lead the emotion centered era.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2009.05a
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• pp.733-736
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• 2009

Power Line Communication(PLC) is need not additional communication line. So establishment expense is inexpensive and application is simple. Therefore, lower part network of various application field is possible. However, there are high subordinate interference and noise problem on limited transmission data and communication interference element. Wireless Sensor Network(WSN) is need not infrastructure, Self-regulating network architecture of sensor nodes is possible. So at short time, network construction is available. But, power consumption is increased by active sensing for QoS elevation and unnecessary information transmission, low electric power design and necessity of improve protocol are refered to life shortening problem and is studied. In this paper, supplement problem of power line communication and wireless sensor network mutually and because advantage becomes linkage integration control system using synergy effect of two technologies as more restriction be and tries to approach structurally control network that is improved for smooth network environment construction. Honeywell's hybrid sensor network does comparative analysis(benchmarking). Confirm performance elevation proposing teaming of power line communication and wireless sensor network. Through simulation, service delay decreases and confirms that performance elevation.

• Journal of Wetlands Research
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• v.21 no.3
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• pp.224-235
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• 2019

Rapid urbanization poses three major problems in urban streams. The first problem is the reduction of soil wetting from rainfall as the impervious area increases. Decrease in soil wetting causes serious distortion in the water cycle of urban streams. The second problem is the increase of non-point sources pollutants by urban land use, and the third problem is the combined sewer overflows in the old city center. Increased non-point sources pollutants and combined sewer overflows are associated with water cycle distortion, which increases water pollution in urban streams. In this study, EPA SWMM was constructed for the Busan Oncheon-stream watershed in order to suggest solutions for these three problems, and the bio-retention cells installation project was planned by benchmarking the actual projects in New York City. Water cycle improvement and reduction of non-point sources pollutants and combined sewer overflows for each project scenario were analyzed together with required budgets.