• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2016.05a
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• pp.291-293
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• 2016

해상교통관제사의 업무는 선박교통의 안전과 효율을 목적으로 하는 의사결정의 연속이다. 의사결정은 문제해결과정의 일종으로 가치 판단을 포함한다. 올바른 의사결정을 내리기 위해서는 해상교통상황을 정확히 파악하는 것이 우선되어야 하지만, 상황판단을 제대로 했다하더라도 의사결정을 그르칠 위험이 있다는 측면에서 관제사가 적극적으로 습득하여야 하는 인지과제다. 본고에서는 먼저 관제사에게 필요한 의사결정 이론에 대해서 기술한 뒤, 이를 구체적인 관제과제에 적용할 때 합리적인 의사결정 모델보다는 휴리스틱 또는 재인촉발의사결정 모델을 사용한다는 점을 밝혔다. 또한 관제사의 의사결정 과정에서 발생할 수 있는 실수를 사례 위주로 고찰하였다. 특히 관제사의 업무역량 향상을 위해서 의사결정방법을 어떻게 훈련할 것인가를 제안하였다.

• Knowledge Management Research
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• v.24 no.4
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• pp.23-42
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• 2023

This study originated from recognition of importance of firefighters' decision-making in fire response, coupled with existing gap in research. By utilizing Q-methodology, the study aimed to categorize firefighters' subjectivity in fire response decision-making. Through this categorization, the study sought to highlight insights into the current technological and data limitations, as well as potential directions for future R&D in the field of firefighting. The findings of the study revealed that firefighters' subjectivity could be classified into three factors: "emphasis on direct information related to rescue," "emphasis on information related to the target property," and "emphasis on information related to command and coordination." The study theoretically confirmed that the subjectivity of firefighters' decision-making in fire response is partially influenced by their experiences and job. Additionally, the study's significance lay in its approach of collecting specific decision-making factors in fire response, moving beyond general theoretical models. Furthermore, from a policy perspective, the typification of decision-making factors contributed to connecting the identified data-based administrative needs from prior studies. Insights from the study emphasized the importance of leveraging on-site experience in Korea to aid decision-making, calling for the development of equipment and data collection methods that can rapidly and accurately assess on-site conditions.

• Culinary science and hospitality research
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• v.16 no.2
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• pp.31-48
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• 2010

The purpose of this study was to examine the influence of food service web site users' functional recognition extent on switching behaviors. For this, a survey of web site users was carried out. As for analytic methods, frequency analysis was used to examine respondents' demographic features. In addition, simple regression analysis and multiple regression analysis were carried out used to look into the influence of functional recognition of food providers' web sites on switching behaviors. Study findings are as follows: all the functional variables such as entertainment, advertisement & public relations, communication and purchase decision-making function have significant influence on users' switching behaviors. When users' recognition extent of food providers' online web sites is high, their switching behavior is also high. In particular, the following clause have the greatest influence upon users' switching behaviors pattern. In the function of entertainment, (1) it is easy to search on web site; in the advertisement function, (2) the image of restaurant can easily be recognize; In the communication function, (3) the image of new products can be seen with ease; and in the purchase decision-making function, (4) web sites are easily accessible.

• Management & Information Systems Review
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• v.4
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• pp.257-284
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• 2000

According as the drivers increase who have their cars, the comprehensive studies on the automobile for the traffic safety have been raised as the important problems. Visual Recognition System for radio-controled driving is a part of the sensor processor of Unmanned Autonomous Vehicle System. When a driver drives his car on an unknown highway or general road, it produces a model from the successively inputted road traffic information. The suggested Recognition System of the Road Traffic Safety Information Board is to recognize and distinguish automatically a Road Traffic Safety Information Board as one of road traffic information. The whole processes of Recognition System of the Road Traffic Safety Information Board suggested in this study are as follows. We took the photographs of Road Traffic Safety Information Board with a digital camera in order to get an image and normalize bitmap image file with a size of $200{\times}200$ byte with Photo Shop 5.0. The existing True Color is made up the color data of sixteen million kinds. We changed it with 256 Color, because it has large capacity, and spend much time on calculating. We have practiced works of 30 times with erosion and dilation algorithm to remove unnecessary images. We drawing out original image with the Region Splitting Technique as a kind of segmentation. We made three kinds of grouping(Attention Information Board, Prohibit Information Board, and Introduction Information Board) by RYB( Red, Yellow, Blue) color segmentation. We minimized the image size of board, direction, and the influence of rounding. We also minimized the Influence according to position. and the brightness of light and darkness with Eigen Vector and Eigen Value. The data sampling this feature value appeared after building the learning Code Book Database. The suggested Recognition System of the Road Traffic Safety Information Board firstly distinguished three kinds of groups in the database of learning Code Book, and suggested in order to recognize after comparing and judging the board want to recognize within the same group with Nearest Neighborhood Decision Making.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.56 no.7
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• pp.1183-1190
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• 2007

This paper proposes the improved fault decision algorithm using DWT(Discrete Wavelet Transform) and ANNs for the FRTU(Feeder Remote Terminal Unit) on the feeder in the power distribution system. Generally, the FRTU has the fault decision scheme detecting the phase fault, the ground fault. Especially FRTU has the function for 2000ms. This function doesn't operate FI(Fault Indicator) for the Inrush current generated in switching time. But it has a defect making it impossible for the FI to be operated from the real fault current in inrush restraint time. In such a case, we can not find the fault zone from FI information. Accordingly, the improved fault recognition algorithm is needed to solve this problem. The DWT analysis gives the frequency and time-scale information. The neural network system as a fault recognition was trained to distinguish the inrush current from the fault status by a gradient descent method. In this paper, fault recognition algorithm is improved by using voltage monitoring system, DWT and neural network. All of the data were measured in actual 22.9kV power distribution system.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2011.11a
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• pp.66-68
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• 2011

VTS 협력항해는 수많은 상황판단과 자율적인 행위자들의 의사결정들의 집합체이다. 선박이 서로 영향을 끼치며 상호작용하기 때문에 발생하는 불확실성이 바로 VTS 협력항해가 해결해야 하는 문제 상황이다. 이러한 불확실성으로 인한 항해위험을 극복하기 위해서는 상황자각과 의사결정이 항해사 개별 차원에서 뿐만 아니라 모든 항해자들이 서로 도우면서 VTS 협력항해 전체적인 차원에서 이루어져야 한다는 점을 중점적으로 논의하였다. 본고에서는 해양사고의 원인으로서 조선기술의 미숙보다는 항해관련 인지기술이 더 직접적으로 작용한다는 점을 주장하면서, 더 나아가 기왕에 발생한 해양사고를 상황자각 관점에서 접근함으로써 해양사고의 인적과실과 관련한 심층적인 분석을 할 수 있다는 것을 밝혔다. 항해의 인지과업을 1단계 상황자각에서부터 분산의사결정에 이르는 과정으로 세분화하고, 이런 관점에서 접근함으로써 해양사고의 원인으로 작용하는 인적과실을 심도 있게 분석할 수 있었다. 인지과업의 세분화를 통해서 항해사들이 각 단계별로 에러를 수정할 수 있는 여유를 확보할 수 있게 하고, 사고로 이어지는 인과 고리를 차단하는 한편 보다 안전한 대안을 찾아 실행할 수 있다는 점을 부각시켰다. 이런 연구결과를 항해사의 훈련 과정에 접목함으로써 해양사고의 위험을 획기적으로 줄일 수 있다는 것을 밝히고자 노력하였다.

• Journal of Information Technology Services
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• v.7 no.4
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• pp.1-19
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• 2008

This study began with the proposition that, compared to the impulse buying in the conventional offline market, consumers will exhibit a different process of decision-making for impulse buying on the Internet as it has become easier to acquire information and purchase goods which are offered online like digital contents goods. To verify this roposition, this study attempted to find out the external and internal factors as that affect the impulse buying behavior by incorporating Theory of Planned Behavior In addition, this study seeks to confirm the role of alternative's attractiveness in terms of mediating between internal and internal factors affecting impulse buying. The major purpose of this study was to understand Impulse Buying Intention(IBI) for digital contents on the internet. The results of the this study showed that the behavior of impulse buying can be explained with the information searching in which the external factors for the marketing of digital contents affect the internal stimulation factors. It was also found that the impulse buying of digital contents on the Internet starts with non-planned impulse at the problem recognition stage, but planned decision-making will take over when it is proven to be effective with information searching.

• Journal of Engineering Education Research
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• v.24 no.5
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• pp.28-37
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• 2021

The purpose of this study was to develop and apply of career education program in science and engineering fields for science gifted high school students. To do this, the career education program was developed and applied to science gifted high school students 129 in H-science gifted high school with K-institute. The results are followings. First, after participating in the career education program, the career decision making self-efficacy of students were increased significantly. Second, it has been increased that external factor of career outcome expectation and continuation effort of grit. In this study, it has showed educational effects of the career education programs that related to career recognition in science and engineering fields for science gifted high school students by developing and applying of program. Based on these results, it is necessary to recognize the importance of customized career education programs for science gifted high school students.

• Journal of the Korea Society of Computer and Information
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• v.24 no.6
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• pp.21-28
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• 2019

Recent years with the development of artificial intelligence and the success of the deep model, they have been deployed in all fields of computer vision. Action recognition, as an important branch of human perception and computer vision system research, has attracted more and more attention. Action recognition is a challenging task due to the special complexity of human movement, the same movement may exist between multiple individuals. The human action exists as a continuous image frame in the video, so action recognition requires more computational power than processing static images. And the simple use of the CNN network cannot achieve the desired results. Recently, the attention model has achieved good results in computer vision and natural language processing. In particular, for video action classification, after adding the attention model, it is more effective to focus on motion features and improve performance. It intuitively explains which part the model attends to when making a particular decision, which is very helpful in real applications. In this paper, we proposed a 3D dense convolutional network based on attention mechanism(ADD-Net), recognition of human motion behavior in the video.

• The KIPS Transactions:PartB
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• v.12B no.4 s.100
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• pp.437-442
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• 2005

For the purpose of speaker normalization in speaker independent speech recognition systems, experiments are conducted on a method based on Gaussian mixture model(GMM). The method, which is an improvement of the previous study based on vector quantizer, consists of modeling the probability distribution of canonical feature vectors by a GMM with an appropriate number of clusters, and of estimating the warp factor of a test speaker by making use of the obtained probabilistic model. The purpose of this study is twofold: improving the existing ML based methods, and comparing the performance of what is called 'soft decision' method with that of the previous study based on vector quantizer. The effectiveness of the proposed method is investigated by recognition experiments on the TIMIT corpus. The experimental results showed that a little improvement could be obtained tv adjusting the number of clusters in GMM appropriately.