• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.6
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• pp.625-633
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• 2020

this study, an expert AHP questionnaire analysis of public and private groups was conducted to take into consideration the requirements for realistic disaster services. Considered are public areas that manage disasters like fires and earthquakes that can be a major threat to national safety, as well as private areas that mainly develop disaster-related technologies. In the questionnaire, the public respondents valued accurate disaster situation information (ranked 4th and 6th) for citizens (1st), managers (3rd), and related organizations (2nd); the private sector highly valued the importance of three-dimensional (3D) control (ranked 1st, 3rd, and 5th) using future technologies. This study suggests the realization of a disaster-response service that meets the needs of public safety and technological innovation based on a 3D safety state information platform. We anticipate that this study will provide useful data for applying technology and for establishing detailed scenarios during the test bed and commercialization phases. We also expect that further studies will be conducted, such as the practical application and operation of realistic disaster response services, on the financial resources for the proliferation of local governments, and on policy support measures.

• Korean Security Journal
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• no.15
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• pp.337-358
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• 2008

With the Japanese attacks on Pearl Harbor in 1941, approximately 2,500 people were killed. The terrorist attack on World Trade Center in the United States resulted in the heavy loss of people's lives, 2,749 in all. The 9.11 demonstrated that terrorist attack could be more serious problem than the war in our modern life. In addition, terrorist armed with new and high technologies have become more dangerous elements to the international community. Especially, the fact that the weapons of mass destruction are used by terrorist organizations is a matter of great concern. The strength of terrorist arsenal gives terrorist a decided advantage over us. The chances of success for terrorist have been increased due to the terrorist friendly environments. Terrorism has evolved without stopping from its birth, which is imposing a great burden on the authorities concerned. The counter-terrorism strategy and tactics used in the past have been useless in the fighting against new terrorism. To cope with the fast changing terrorism, comprehensive countermeasures should be developed. The purpose of this study is to know the enemy. To achieve the goal, the current situation on international terrorism as a whole is examined. Based on the result of the research, this paper also tried to give a perspectives on the future terrorism. At the same time, it provides a guidelines of the direction in the fighting against terrorism.

• Korean Journal of Social Welfare
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• v.69 no.3
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• pp.241-265
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• 2017

This study was conducted to propose anti-stigma strategies by verifying the social stigma on behavioral addiction under the premise that social stigma is a main obstacle to the treatment of addiction. A research model was constructed by applying the attribution affection theory and the modified attribution affection theory, which are very useful for explaining emotional and behavioral responses to the persons with mental illness. In other words, when attributing the causes of behavioral addiction to the personally controllable things such as personality, will and lifestyle, social distance can be increased by the mediate of anger. However, when attributing the causes of behavioral addiction to biological factors that can not be controlled by an individual, there can exist two pathway, one is the arising of helping behaviors by the mediate of sympathy (the attribution affection theory), and the other is the aggravation in the social distance due to rising fear (the modified attribution affection theory). In order to verify the research model, 383 adult subjects mainly in South Gyeongsang Province were randomly presented with the vignettes of gambling addiction and internet game addiction, and asked about the causes of the problems and their emotional, prejudicial, and behavioral responses to them. As a result, all pathway had statistically significant predictive effect. Therefore, in the case of attributing to personal causes, social distance increased by the mediate of anger. In the case of attributing to biological causes, both pathway had significant predictive effect, but the indirect effect of the pathway predictive of the helping behavior by the mediate of sympathy was greater. Researchers suggested that anti-stigma strategies, which emphasize that behavioral addiction is a mental health problem requiring treatment, are necessary.

• Journal of the Korean Institute of Intelligent Systems
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• v.18 no.1
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• pp.32-40
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• 2008

Fuzzy rules are very useful and efficient to describe classification rules especially when the attribute values are continuous and fuzzy in nature. However, it is generally difficult to determine membership functions for generating efficient fuzzy classification rules. In this paper, we propose a method of automatic generation of efficient fuzzy classification rules using evolutionary algorithm. In our method we generate a set of initial membership functions for evolutionary algorithm by supervised clustering the training data set and we evolve the set of initial membership functions in order to generate fuzzy classification rules taking into consideration both classification accuracy and rule comprehensibility. To reduce time to evaluate an individual we also propose an evolutionary algorithm with data partition evaluation in which the training data set is partitioned into a number of subsets and individuals are evaluated using a randomly selected subset of data at a time instead of the whole training data set. We experimented our algorithm with the UCI learning data sets, the experiment results showed that our method was more efficient at average compared with the existing algorithms. For the evolutionary algorithm with data partition evaluation, we experimented with our method over the intrusion detection data of KDD'99 Cup, and confirmed that evaluation time was reduced by about 70%. Compared with the KDD'99 Cup winner, the accuracy was increased by 1.54% while the cost was reduced by 20.8%.

• Journal of dental hygiene science
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• v.6 no.2
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• pp.79-84
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• 2006

The purpose of this study was to collect base-data for evaluation of primary school oral health program. The data was Obtained from 648 children of four primary schools in Gwangiu city, Gyeonggi-Do Korea, during 2 month (March to May, 2006). The survey was performed by a face-to-face interview questionnaire consisting of OIDP. We analyzed knowledge, attitude, action and DMFT, oral health knowledge, the state satisfaction, no dental treatment need according to being or not being of the score using SPSS 12.0. ODIP score measure was based on scoring method for OIDP. The results were as follows. 1. In knowledge, attitude, behavior of oral hygiene with regard to OIDP score, he group with OIDP score is higher than the group without that and in case of knowledge and behavior, the group with OIDP score has a significant difference from the group without (p < 0.05). 2. In case of the oral hygiene cognition, a situation satisfaction, a no dental treatment need based on OIDP score, the group without OIDP score has a desirable andsignificant difference from the group with OIDP score (p < 0.05). 3. In case of DMFT based on OIDP score, the group with has a higher DMFT than the group without and has an significant difference from the group without (p < 0.05).

• School Mathematics
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• v.16 no.2
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• pp.387-407
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• 2014

Gender differences have been given major attention in mathematics education in the context of pursuing gender equity in instructional and learning environment. It had been traditional belief that male students would outperform female students in mathematics, especially in the areas as geometry. This belief has been given doubts by cumulated empirical evidences that gender differences are gradually diminishing or even reversing its direction as time goes on. In this study, gender differences in geometry were explored using TIMSS 8th grade mathematics data administered in TIMSS 2003, 2007, and 2011, based on a cognitive diagnostic modeling(CDM) approach. Among various CDM models, the Fusion model was employed. The Fusion model has advantages over other CDM models in that it provides more detailed information about gender differences at the attribute level as well as item level and more mathematically tractable. The findings of this study show that Attribute 3(Three-dimensional Geometric Shapes) revealed statistically significant gender differences favoring male students in TIMSS 2003 and 2007, but did not show significant differences in TIMSS 2011, which provides an additional empirical evidence supporting the recent observation that gender gap is narrowing. In addition to the general trends in gender differences in geometry, this study also provided affluent information such as gender differences in attribute mastery profiles and gender differences in relative contributions of each attribute in solving a particular item. Based on the findings of the CDM approach exploring gender differences, instructional implications in geometry education are discussed.

• Cartoon and Animation Studies
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• s.39
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• pp.365-391
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• 2015

The purpose of this study is to comprehend the characteristics of collaborative examples in mobile games by analyzing the types of cultural fusion and their utilization in mobile game industry. The major examples of collaborations include the collaborative works utilizing artists, characters, and products by examining the practical collaborations within international mobile games between the years 2010 to 2014. The most typical kind of collaboration among them is the utilization of characters, composed of using characters between games, applying animation characters, borrowing cartoon or web-cartoon characters, hiring famous celebrities, or even including great men in their games. Therefore, the characteristics of mobile game's collaborative types are confirmed as below by studying the above examples. (1) There are many examples of collaborating between different types of businesses defined as 'conversion type fusion.' (2) The character utilization is the most sought after type of collaboration. (3) The applied content's target audience seems to share the same age groups of the game's audience. (4) The game industry always adopts the components that could be recognized instantly. (5) The status and influence of mobile game have risen greatly. Consequently, this research has important role in establishing the strategic collaborative plans for mobile game business by expanding the prospects of game related researches and industrial and academic theories.

• Resources Recycling
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• v.22 no.3
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• pp.73-80
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• 2013

Metal prices are rapidly rising due to increasing demand of metals and limited available resources according to the industrial requirement. As a result, securing a stable supply of these metal resources has been recognized as a core element of national competitiveness and sustained economic growth. In the case of magnesium and its alloys which are entirely depending on import, low-grade magnesium scraps from end-of-life vehicles and 3C(Camera, Computer, Communication) parts and magnesium wastes such as sludge and dross generated during melting process are hardly recycled. Accordingly, the development and commercialization of recycling technology of low-grade magnesium scrap is desperately needed to improve efficiency of resource circulation and to establish the required proprietary of resource metal supply and demand. In this study, papers and patents on recycling technologies of waste magnesium were analyzed. The range of search was limited in the open patents of USA (US), European Union (EP), Japan (JP), Korea (KR) and SCI journals from 1974 to 2012. Patents and journals were collected using key-words searching and filtered by filtering criteria. The trends of the patents and journals was analyzed by the years, countries, companies, and technologies.

• Journal of the Korean Society of Marine Environment & Safety
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• v.25 no.1
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• pp.34-44
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• 2019

Marine activities are becoming more diverse and extensive due to recent social developments, exceeding the environmental capacity of the marine ecosystem. The resilience, resistance, and constancy of marine ecosystems are being damaged or degraded. This prevents the ecosystem from functioning properly, leading to a decline in ecosystem services and value. As a means of returning the damaged ecosystem to health, more and more people are interested in restoration. At a time when restoration projects are gradually expanding, various problems that may arise when implementing the Sea Area Utilization Consultation and Impact Assessment for restoration projects need to be checked, in addition to confirming the direction to be pursued. Therefore, in this study terms related to restoration from research papers and reports were summarized, and the status of the Sea Area Utilization Consultation related to restoration projects and the status of the restoration project were reviewed. In addition, problems with Sea Area Utilization Consultations were considered through a case study to ensure the successful execution of restoration projects. Based on this, we intend to present improvement measures for Sea Area Utilization Consultations and Impact Assessments for restoration projects. This will provide effective information for future policies and plans.

• Journal of the Korea Convergence Society
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• v.11 no.12
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• pp.39-47
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• 2020

In this paper, we proposed a deep learning-based detection method using Saliency Attention to detect salient objects in images. The salient object detection separates the object where the human eye is focused from the background, and determines the highly relevant part of the image. It is usefully used in various fields such as object tracking, detection, and recognition. Existing deep learning-based methods are mostly Autoencoder structures, and many feature losses occur in encoders that compress and extract features and decoders that decompress and extend the extracted features. These losses cause the salient object area to be lost or detect the background as an object. In the proposed method, Saliency Attention is proposed to reduce the feature loss and suppress the background region in the Autoencoder structure. The influence of the feature values was determined using the ELU activation function, and Attention was performed on the feature values in the normalized negative and positive regions, respectively. Through this Attention method, the background area was suppressed and the projected object area was emphasized. Experimental results showed improved detection results compared to existing deep learning methods.