• Journal of Information Technology Services
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• v.10 no.1
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• pp.167-176
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• 2011

Punctuality is one of the key performance indicators of the airline industry and an important service differentiator especially for valuable customers. In addition, improvement on time performance can help achieve cost saving, i.e. the cost of airline report, which could range from 0.6% to 2.9% of their operating revenues. Therefore efficient management of punctuality is crucial for the industry. This study overcomes the limitations of existing analyses on punctuality and develops a multi-dimensional model for airport punctuality analysis. In addition to analysis of airport punctuality, visual analysis is also proposed in the study. Data was collected from actual flight data of Incheon International Airport. Using the new visual analysis method, the study discovered the pattern of the punctuality that has never studied before.

• Journal of Information Processing Systems
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• v.6 no.1
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• pp.33-42
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• 2010

GIS can only be applied to certain areas by storing format. It is subordinate to a system when displaying geographic information data. It is therefore inevitable for GIS to use GML that supports efficient usage of various geographic information data and interoperability for integration and sharing. The paper constructs VisualGML that translates currently-used geographic information such as DXF (Drawing Exchange Format), DWG (DraWinG), or SHP (Shapefile) into GML format for visualization. VisualGML constructs an integrated map pre-process module, which filters geographic information data according to its tag and properties, to provide the flexibility of a mobile device. VisualGML also provides two major GIS services for the user and administrator. It can enable visualizing location search. This is applied with a 3-Layer POI structure for the user. It has trace monitoring visualization through moving information of mobile devices for the administrator.

• Child Health Nursing Research
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• v.9 no.3
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• pp.294-300
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• 2003

Purpose: The purpose of the study was to investigate the status of visual health behavior of school-age children and to identify the predicting variables of the school-age children's visual health behavior. Method: The subject was 764 children in grades 4 to 6, enrolled in 2 elementary schools located in urban area. The data were analyzed using t-test, ANOVA, correlation analysis, and stepwise multiple regression. Result: The findings were as follows: 1. The mean of the score of the visual health behavior of school-age children was 41.59(SD=7.22) and there was a significant difference according to grade. 2. There were significant correlations between visual health behavior and self-efficacy for visual health behavior (r=.51, p=.000), motivation for visual health(r=.45, p=.000), perceived benefits(r= .34, p=.000), self-concept(r=.32, p=.000), knowledge of visual health(r=.30, p=.000), health perception for vision(r=.16, p=.000), health locus of control(r=.11, p=.002), and perceived barriers(r=.-.12, p=.000). 3. Self-efficacy for visual health behaviors, knowledge of visual health, motivation for visual health, self-concept, health perception for vision, and perceived benefits were identified as predictor variables of the visual health behavior of the school-age children from the stepwise multiple regression analysis. The total percent of variance accounted by these 6 variables were 36.9％. Conclusion: From the result, it is suggested that the development of comprehensive visual health education program including the component of self-efficacy, health motivation and self-concept to promote the visual health of school-age children.

• The Journal of the Acoustical Society of Korea
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• v.27 no.5
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• pp.244-251
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• 2008

In this research, we propose an unsupervised debate indexing method using audio and visual information. The proposed method combines clustering results of speech by BIC and visual by distance function. The combination of audio-visual information reduces the problem of individual use of speech and visual information. Also, an effective content based analysis is possible. We have performed various experiments to evaluate the proposed method according to use of audio-visual information for five types of debate data. From experimental results, we found that the effect of audio-visual integration outperforms individual use of speech and visual information for debate indexing.

• 제어로봇시스템학회:학술대회논문집
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• 2004.08a
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• pp.346-349
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• 2004

The teleoperation system applies all of the industrial fields due to the development of the network infrastructure. It is one of the indispensable elements for controlling the robot at a remote sight and monitoring the limit or unknown environment. The common teleoperation robot system is what has the visual module to supply the network system and realistic UI to the existed robot system. Therefore, remarked that the fusion between modules and transmission of visual data the remarked the important element to improve the robot application in the various environments. Delay of development time by robot platform and noneffective communication among developers are also problem to approach. In this paper we propose the independent teleoperation system. The main application language is JAVA in this system, which is applied JAVA API like JNI and JMF to construct the effective teleoperation system. The system has the both side communication system between sever and client as a basic structure. The visual data that is attached the robot at a remote sight is captured by JMF API and then is transmitted to the web browser called client by RTR protocol. JNI is used to connect between JAVA and the lower part application (sensor fusion, motion control.) of the robot programmed by various Native languages. The proposed system is the application that can perform the elements, for instance transmission of visual data, the fusion of various native application modules and the effective network communication, with any platform.

• The Research Journal of the Costume Culture
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• v.17 no.3
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• pp.523-534
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• 2009

The purpose of this study is to categorize the dimensions of the visual evaluation of the costume details of the retro romantic fashion and to research on the costume details and the visual evaluation by evaluators' gender, age, and major, and on their preferences. Quantitative research were conducted for this study. Based on the pictures, 10 costume details were selected for the survey questions and data were collected. All 446 subjects who participated in this research were college students(males and females) residing in or near Seoul. Data were collected in September, 2008. The collected data were statistically analyzed using SPSS which included: factor analysis, Cronbach's $\alpha$ reliability analysis, three-way ANOVA, two-way ANOVA, one-way ANOVA, Duncan's multiple range tests, and the t-test. The results of visual evaluation of retro romantic fashion are as follows: First, as a result of the factor analysis of the costume detail evaluation, five factors including attractiveness, decorativeness, cuteness, retro, and femininity surfaced. Second, the gender difference in the results of the research revealed that women rated decorative, cute, retro, and feminine characteristics higher than men did. Third, there were significant interactive effects in attractiveness and femininity depending on costume details and evaluators' gender. Fourth, subjects majoring in fashion valued attractiveness and femininity of the stimulus over non-fashion majoring subjects. Fifth, there were significant differences in the preferences of costume details depending on gender.

• Journal of Korean Institute of Industrial Engineers
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• v.42 no.6
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• pp.377-385
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• 2016

The previous Adaptive Control of Thought-Rational (ACT-R) cognitive architecture model has a limitation in that it cannot accurately predict human visual search strategy, because time effect, one of important human cognitive features, is not considered. Thus, the present study proposes ACT-R cognitive modeling that contains the impact of time using a revised utility system in the ACT-R model. Then, the validation of the model is performed by comparing results of the model with eye-tracking experimental data and SEEV-T (SEEV-Time; SEEV model which considers time effect) model in "Where's Wally" game. The results demonstrate that the model data fit fairly well with the eye-tracking data ($R^2=0.91$) and SEEV-T model ($R^2=0.93$). Therefore, the modeling method which considers time effect using a revised utility system should be used in predicting the human visual search paradigm when the available time is limited.

• Journal of Construction Engineering and Project Management
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• v.5 no.4
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• pp.16-22
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• 2015

This paper presents an automated computer vision-based system to update BIM data by leveraging multi-modal visual data collected from existing buildings under inspection. Currently, visual inspections are conducted for building envelopes or mechanical systems, and auditors analyze energy-related contextual information to examine if their performance is maintained as expected by the design. By translating 3D surface thermal profiles into energy performance metrics such as actual R-values at point-level and by mapping such properties to the associated BIM elements using XML Document Object Model (DOM), the proposed method shortens the energy performance modeling gap between the architectural information in the as-designed BIM and the as-is building condition, which improve the reliability of building energy analysis. Several case studies were conducted to experimentally evaluate their impact on BIM-based energy analysis to calculate energy load. The experimental results on existing buildings show that (1) the point-level thermography-based thermal resistance measurement can be automatically matched with the associated BIM elements; and (2) their corresponding thermal properties are automatically updated in gbXML schema. This paper provides practitioners with insight to uncover the fundamentals of how multi-modal visual data can be used to improve the accuracy of building energy modeling for retrofit analysis. Open research challenges and lessons learned from real-world case studies are discussed in detail.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.15 no.5
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• pp.374-383
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• 1990

For a visual inspectio system to be viable, it must in general achieve the same or lower costs as those incurred by manual methods, it must have a reasonable inspection rate, and it must be reliable and maintainable : for the visual inspection system, inspection at high speed, flexibility for variety of products, and low cost are needed. In order to solve these problems, we propose the visual inspection algorithm by divide-and-conquer technique using the pyramid data structure and the development of simplified pattern matching method. By this method we can reduce the number of data required to compare with patterns and make the inspection time short.

• The Journal of Korea Robotics Society
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• v.1 no.1
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• pp.25-35
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• 2006

Improving practicality of SLAM requires various sensors to be fused effectively in order to cope with uncertainty induced from both environment and sensors. In this case, combining sonar and vision sensors possesses numerous advantages of economical efficiency and complementary cooperation. Especially, it can remedy false data association and divergence problem of sonar sensors, and overcome low frequency SLAM update caused by computational burden and weakness in illumination changes of vision sensors. In this paper, we propose a SLAM method to join sonar sensors and stereo camera together. It consists of two schemes, extracting robust point and line features from sonar data and recognizing planar visual objects using multi-scale Harris corner detector and its SIFT descriptor from pre-constructed object database. And fusing sonar features and visual objects through EKF-SLAM can give correct data association via object recognition and high frequency update via sonar features. As a result, it can increase robustness and accuracy of SLAM in indoor environment. The performance of the proposed algorithm was verified by experiments in home -like environment.