• Korean Security Journal
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• no.25
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• pp.185-208
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• 2010

This study is to suggest the current security education programs and improvement of industrial security curriculums in Korea. We live in a world of insecurity; the world is changing at an ever accelerating pace. Life, society, economics, international relations, and security risk are becoming more and more complex. The nature of work, travel, recreation, and communication is radically changing. We live in a world where, seemingly with each passing year, the past is less and less's guide to the future. Security is involved in on one way or another in virtually every decision we make and every activity we undertake. The global environment has never been more volatile, and societal expectations for industrial security and increasing if anything. The complexities of globalization, public expectation, regulatory requirements, transnational issues, jurisdictional risks, crime, terrorism, advances in information technology, cyber attacks, and pandemics have created a security risk environment that has never been more challenging. We had to educate industrial security professional to cope with new security risk. But, how relevant is a college education to the security professional? A college degree will not guarantee a job or advancement opportunities. But, with a college and professional training, a person has improved chances for obtaining a favored position. Commonly, Security education and experience are top considerations to find a job so far, also training is important. Today, Security is good source to gain competitive advantage in global business. The future of security education is prospect when one considers the growth evident in the field. Modern people are very security-conscious today, so now we had to set up close relevant industrial security programs to cope with new security risk being offered in colleges or several security professional educational courses.

• Korean Journal of Ecology and Environment
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• v.51 no.1
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• pp.105-123
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• 2018

Currently, satellite images act as essential and important data in water resources, environment, and ecology as well as information of geographic information system. In this paper, we will investigate basic characteristics of satellite images, especially application examples in water resources. In recent years, researches on spatial and temporal characteristics of large-scale regions utilizing the advantages of satellite imagery have been actively conducted for fundamental hydrological components such as evapotranspiration, soil moisture and natural disasters such as drought, flood, and heavy snow. Furthermore, it is possible to analyze temporal and spatial characteristics such as vegetation characteristics, plant production, net primary production, turbidity of water bodies, chlorophyll concentration, and water quality by using various image information utilizing various sensor information of satellites. Korea is planning to launch a satellite for water resources and environment in the near future, so various researches are expected to be activated on this field.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.16 no.2
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• pp.128-139
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• 2017

Railway is one of the public transportation systems along with shipping and aviation. With the recent introduction of high speed train, its proportion is increasing rapidly, which results in the higher risk of catastrophic failures. The wheel bearing to support the train is one of the important components requiring higher reliability and safety in this aspect. Recently, many studies have been made under the name of prognostics and health management (PHM), for the purpose of fault diagnosis and failure prognosis of the bearing under operation. Among them, the most important step is to extract a feature that represents the fault status properly and is useful for accurate remaining life prediction. However, the conventional features have shown some limitations that make them less useful since they fluctuate over time even after the signal de-noising or do not show a distinct pattern of degradation which lack the monotonic trend over the cycles. In this study, a new method for feature extraction is proposed based on the observation of relative frequency energy shifting over the cycles, which is then converted into the feature using the information entropy. In order to demonstrate the method, traditional and new features are generated and compared using the bearing data named FEMTO which was provided by the FEMTO-ST institute for IEEE 2012 PHM Data Challenge competition.