• Journal of Korean Home Economics Education Association
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• v.31 no.2
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• pp.137-153
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• 2019

This study reviewed the Technology & Home Economics Education textbooks to examine if their illustrations would be appropriate for students' balanced view of gender. To this end, the textbooks of 'Technology & Home Economics Education 1 and 2' from 12 publishers (24 books in total) were analyzed focusing on the formative and content characteristics of illustrations in the textbooks. The results of this study is as follows. There were areas in the textbooks that may not be considered gender-equal. Although the textbooks have been improved to some extent from the previous versions, they still show gender stereotypes biased towards men. If students are constantly exposed to the prescriptive characteristics that are in favor of certain gender, they would find it difficult to develop their personality strengths, due to the gender role pressures. In order to help students cultivate sensitivity and activism toward the gender equality issues, it is important that the textbooks are gender-equal. To summarize, in order to suggest to students a balanced image of society with male and female cooperating with each other in diverse domains, it is deemed necessary to constantly examine and revise the textbooks for their gender stereotypic contents, and thereby, improve them for gender equality.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.9
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• pp.458-465
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• 2020

Technological advances in artificial intelligence are affecting many industries, such as telecommunications, logistics, security, and healthcare, and research and development related to economic, efficiency, linkage with commercial technologies are the current focus. Predicting the changes in the future battlefield environment and ways of conducting war from a strategic point of view, as well as designing/planning the direction of military development for a leading response is not only a basic element to prepare for comprehensive future threats but also an indispensable factor that can produce an optimal effect over a limited budget/time. From this perspective, this study was conducted as part of a technology-driven plan to discover potential future technologies with high potential for use in the defense field and apply them to R&D. In this study, based on research data collected in a defense future technology investigation, the future new technology that requires further research was predicted by considering the redundancy with existing defense research projects and the feasibility of technology. In addition, an empirical study was conducted to verify the significance between the future new defense technology and the evaluation indicators in the AI field.

• Korean Security Journal
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• no.26
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• pp.89-119
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• 2011

The purpose of this study is to progress the development plan of safety management on the intelligent robot through safety analysis on the intelligent robot, major present condition of safety management on the intelligent robot, enforcement method of safety management on the intelligent robot. The following is the result of the study. First, we have to establish the provision or the special legislation to regulate the safety management of the intelligent robot substantially in the intelligent robot development and supply promotion law, the enforcement ordinance, the enforcement regulation. And, we should propel to establish the provision on the safety management of the intelligent robot in the laws related on ethics and safety. Second, we should establish the Robot Ethical Charter through the national and international agreement to give a guarantee against the safety management of the intelligent robot. Furthermore, we have to induces people's interest on the safety management of the intelligent robot through offering the public information of the Robot Ethical Charter for coexistence of human and robot and have to understand about rights of the intelligent robot. Third, the security industry and learned circles have to recognize the important effect that the intelligent robot gets in the security industry and try to grope the safety management and the application plan on the intelligent robot. Also, the security industry and learned circles should concern not only using and managing of the intelligent robot including the military robot, the security robot but also protecting human from the intelligent robot.

• Korean Security Journal
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• no.51
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• pp.223-249
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• 2017

The purpose of this study is to analyze the actual situation of crime victimization by North Korean defectors and to examine whether any of the protection and support systems for defectors has a statistically significant effect on the perceived effectiveness for preventing the criminal victimization of North Korean Defectors. The subjects of this study were 107 police officers from the 17 provincial police departments. Independent variables were (1) social adaptation education in Hanawon, (2) protection officer system, (3) legal support system, (4) private participation system, (5) support for family life, (6) community participation activity. And the dependent variable is the crime prevention effectiveness for the defectors. As a result of multiple regression analysis, it was found that the independent variables that have a significant effect on the effectiveness of prevention of crime victimization were protection officer system and support for family life. First, in order to prevent the crime victimization of North Korean defectors in advance, three kinds of protection officer system that will be received after the transfer of the residence should play the role successfully. Second, the efforts of the government and municipalities alone are insufficient for the early settlement of North Korean defectors. Therefore, it is necessary to diversify the support and protection programs for North Korean refugees through cooperation with civic organizations. Third, it is necessary to expand the legal education time so that North Korean defectors do not suffer crime because of lack of legal knowledge. Fourth, in order to prevent North Korean defectors from being victimized by various kinds of crime, it is necessary to actively support them so that family life can be stabilized.

• Journal of KIISE:Software and Applications
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• v.34 no.3
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• pp.226-234
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• 2007

In this paper, we develop a speech recognition system using a throat microphone. The use of this kind of microphone minimizes the impact of environmental noise. However, because of the absence of high frequencies and the partially loss of formant frequencies, previous systems developed with those devices have shown a lower recognition rate than systems which use standard microphone signals. This problem has led to researchers using throat microphone signals as supplementary data sources supporting standard microphone signals. In this paper, we present a high performance ASR system which we developed using only a throat microphone by taking advantage of Korean Phonological Feature Theory and a detailed throat signal analysis. Analyzing the spectrum and the result of FFT of the throat microphone signal, we find that the conventional MFCC feature vector that uses a critical pass filter does not characterize the throat microphone signals well. We also describe the conditions of the feature extraction algorithm which make it best suited for throat microphone signal analysis. The conditions involve (1) a sensitive band-pass filter and (2) use of feature vector which is suitable for voice/non-voice classification. We experimentally show that the ZCPA algorithm designed to meet these conditions improves the recognizer's performance by approximately 16%. And we find that an additional noise-canceling algorithm such as RAST A results in 2% more performance improvement.

• 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.

• Review of KIISC
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• v.18 no.5
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• pp.33-48
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• 2008

최근 은행의 소유지분한도와 설립자본금 등에 대한 정부의 금융규제 완화로 인터넷전문은행의 설립 가능성이 높아지고 있다. 그러나 우리나라의 전자금융환경은 전자금융거래법 제정에 따라 금융기관의 입증책임을 강화함으로써 금융기관의 전자금융리스크가 상대적으로 크게 증가하였다. 또한, 정보 공격기술 및 수법의 발달로 전자금융보안에 대한 위협이 지속적으로 증가하고 있다. 이외 에도 신BIS 리스크 평가에 IT운영리스크가 포함되는 등 금융환경 변화 및 정보통신 기술의 발전으로 인한 전자금융리스크가 계속 확대되고 있는 추세에 있다. 이러한 금융환경 변화와 함께 서비스채널이 인터넷에 집중되는 인터넷전문은행은 기존의 전통적인 은행과 차별되는 리스크에 추가적으로 노출될 위험성이 높다. 이러한 리스크에 대한 인식 및 대비 부재는 금융소비자가 금융권 전자금융거래에 대한 불신으로 확산되거나, 금융시장의 불안정성을 야기하는 금융사고로 이어져 자칫 국내 전자금융의 발전을 저해하는 심각한 요소가 될 수 있다. 본 논문에서는 국내 금융환경과는 차이가 있지만, 인터넷전문은행이 가져올 전자금융의 기술적 변화는 유사하다는 점에서 해외 주요국가의 인터넷전문은행 현황과 전자금융부문을 중심으로 인터넷전문은행 설립인가 사례를 살펴보고, 국내에서 인터넷전문은행 설립시 우리가 취해야 할 입장에 대해 시사점을 얻고자 하였다. 그리고 국내 전자금융 환경에서 전통적인 일반은행과 차별되거나 인터넷전문은행 고유의 특성으로 발생되는 주요 전자금융리스크를 다섯 가지로 분석하였고, 이러한 전자금융리스크를 줄이기 위한 대응방안을 모색해 보았다. 정부의 금융규제 완화는 금융자유화를 진전시켜 금융거래가 자유경쟁원리에 입각해 이루어짐에 따라 국민경제의 발전에 있어서 바람직한 결과를 얻고자 하는 것이다. 그러나 다른 한편으로 과도한 리스크에 노출 될 경우에는 금융시장의 불안정성을 야기하고 이로 인해 역 선택과 도덕적 해이를 야기 시키는 등 여러 가지의 폐해를 줄 수도 있다 이러한 폐해를 줄이기 위해서는 인터넷전문은행의 고유한 특성으로 수반되는 리스크와 상대적으로 그 중요성이 부각되는 전자금융리스크에 대한 관리 감독을 강화해야 한다. 또한 이러한 리스크 관리강화를 위한 제도적 장치는 인터넷전문은행의 자율성과 책임성을 부여하는 방향으로 이루어지는 것이 바람직하다. 인터넷전문은행이 실질적으로 다수의 금융이용자에게 다양한 혜택과 효율적인 금융서비스를 제공하기 위해서는 초기 사업계획 심사 단계에서부터 위험성이 크게 증가하는 전자금융리스크에 대해서, 적절한 관리방안 수립을 통해 예상되는 리스크를 줄이기 위한 노력이 필요하다고 생각한다. 그리고 인터넷전문은행에 대한 구체적인 인가요건이 마련되지 못한 현 상황에서, 국내 인터넷전문은행 설립이 우리나라 전자금융거래에 발전적 역할을 할 수 있도록 앞으로 더 많은 논의와 연구가 진행될 필요가 있다.

• KIPS Transactions on Computer and Communication Systems
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• v.5 no.12
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• pp.471-480
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• 2016

Recently, the damage of cyber attack toward infra-system, national defence and security system is gradually increasing. In this situation, military recognizes the importance of cyber warfare, and they establish a cyber system in preparation, regardless of the existence of threaten. Thus, the study of Intrusion Detection System(IDS) that plays an important role in network defence system is required. IDS is divided into misuse and anomaly detection methods. Recent studies attempt to combine those two methods to maximize advantagesand to minimize disadvantages both of misuse and anomaly. The combination is called Hybrid IDS. Previous studies would not be inappropriate for near real-time network environments because they have computational complexity problems. It leads to the need of the study considering the structure of IDS that have high detection rate and low computational cost. In this paper, we proposed a Hybrid IDS which combines C4.5 decision tree(misuse detection method) and Weighted K-means algorithm (anomaly detection method) hierarchically. It can detect malicious network packets effectively with low complexity by applying mutual information and genetic algorithm based efficient feature selection technique. Also we construct upgraded the the hierarchical structure of IDS reusing feature weights in anomaly detection section. It is validated that proposed Hybrid IDS ensures high detection accuracy (98.68%) and performance at experiment section.

• Journal of Internet Computing and Services
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• v.17 no.6
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• pp.1-8
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• 2016

Current indoor intrusion detection and location tracking methods have the weakness in seamless operations in tracking the objective because the object must possess a communicating device and the limitation of the single cell size (approximate $100cm{\times}100cm$) exits. Also, the utilization of CCTV technologies show the shortcomings in tracking when the object disappear the area where the CCTV is not installed or illumination is not enough for capturing the scene (e.g. where the context-awarded system is not installed or low illumination presents). Therefore, in this paper we present an improved in-door tracking system based on sensor networks. Such system is built on a simulated scenario and enables us to detect and extend the area of surveillance as well as actively responding the emergency situation. Through simulated studies, we have demonstrated that the proposed system is capable of supplementing the shortcomings of signal cutting, and of estimating the location of the moving object. We expect the study will improve the better analysis of the intruder behavior, the more effective prevention and flexible response to various emergency situations.

• 재활복지
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• v.21 no.3
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• pp.129-146
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• 2017

In an event of an emergency, such as fire in a building, visually impaired and blind people are prone to exposed to a level of danger that is greater than that of normal people, for they cannot be aware of it quickly. Current fire detection methods such as smoke detector is very slow and unreliable because it usually uses chemical sensor based technology to detect fire particles. But by using vision sensor instead, fire can be proven to be detected much faster as we show in our experiments. Previous studies have applied various image processing and machine learning techniques to detect fire, but they usually don't work very well because these techniques require hand-crafted features that do not generalize well to various scenarios. But with the help of recent advancement in the field of deep learning, this research can be conducted to help solve this problem by using deep learning-based object detector that can detect fire using images from security camera. Deep learning based approach can learn features automatically so they can usually generalize well to various scenes. In order to ensure maximum capacity, we applied the latest technologies in the field of computer vision such as YOLO detector in order to solve this task. Considering the trade-off between recall vs. complexity, we introduced two convolutional neural networks with slightly different model's complexity to detect fire at different recall rate. Both models can detect fire at 99% average precision, but one model has 76% recall at 30 FPS while another has 61% recall at 50 FPS. We also compare our model memory consumption with each other and show our models robustness by testing on various real-world scenarios.