• International conference on construction engineering and project management
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• 2022.06a
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• pp.458-464
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• 2022

Hazard recognition is considered as one of the pre-requisites for effective hazard management and injury prevention. However, in complex and changing environments, construction workers are often unable to identify all possible hazards that can occur in the jobsite. Therefore, identification of factors that impact hazard recognition in the work environment is necessary to reduce safety incidents as well as to develop strategies that can improve worker's hazard recognition performance. This study identified factors/problems that impact worker's hazard recognition abilities and suggested some potential technologies that can mitigate such problems. Literature reviews of journal articles and published reports related to hazard recognition studies were conducted to identify the factors. The study found out that the major factor responsible for affecting worker's hazard recognition abilities were human-related. Industry factors, Organizational factors and Physical factors of the site were the other factors identified from the study that impact worker's hazard recognition performances. The findings from the study can help site personnel recognize areas where effective measures can be directed towards worksite safety of workers while working in complex construction environments.

• Journal of Industrial Convergence
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• v.13 no.2
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• pp.45-54
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• 2015

This Study aims to analyze the factors for the success of commercialization of the facial extraction and recognition image security information system of the domestic companies in Korea. As the results of the analysis, the internal factors for the success of commercialization of the facial extraction and recognition image security information system of the company were found to include (1) Holding of technology for close range facial recognition, (2) Holding of several facial recognition related patents, (3) Preference for the facial recognition security system over the fingerprint recognition and (4) strong volition of the CEO of the corresponding company. On the other hand, the external environmental factors for the success were found to include (1) Extensiveness of the market, (2) Rapid growth of the global facial recognition market, (3) Increased demand for the image security system, (4) Competition in securing of the engine for facial extraction and recognition and (5) Selection by the government as one of the 100 major strategic products.

• The Korean Journal of Food And Nutrition
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• v.25 no.2
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• pp.348-356
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• 2012

This study aimed to analyze the effect of demographic characteristics of consumers and quality recognition factors on purchase intention of organic wine, and to provide preliminary data necessary for the development of wine industry. By factor analysis of collected surveys, quality recognition factors of both the experienced and non-experienced group of organic wine environment/health, varieties of grapes, price, and four brand elements. First, among demographic characteristics, only income level hae a significant influence on the changes in quality recognition causes. Each of quality recognition causes of organic wine had a significant relation with purchase intent. The result of our analysis suggested that 'environment/health' was most influential for the experienced group, and 'health' was most influential for the non-experienced group. Therefore, this hypothesis is supported.

• Journal of Korean Academy of Nursing Administration
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• v.18 no.2
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• pp.146-154
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• 2012

Purpose: The purpose of this study was to examine the effects of preceptor nurses' self-leadership on role recognition and job satisfaction. Method: The participants were 171 preceptor nurses worked in one of three general hospitals in Seoul. The data were collected from April 12 to May 12, 2011 and analyzed using descriptive statistics, t-test, ANOVA, pearson correlation, Scheffe, and regression with SPSS Win 19.0 program. Result: The results of the study were as followed. The average score for preceptor nurses' self-leadership was 3.55, for role recognition, 3.81 and for job satisfaction, 3.28. The factors of the preceptors' self-leadership affecting role recognition were self-expectation (${\beta}$=260, p=.002) and goal setting (${\beta}$=199, p=.030), and those factors accounted for 18.9% of explanatory power. The factors of self-leadership influencing job satisfaction were self-expectation (${\beta}$=18.3, p=.021), and rehearsal (${\beta}$=-168, p=.030), and those factors accounted for 31.3% of explanatory power. Among the factors of self-leadership, self-expectation influenced both role recognition and job satisfaction. Conclusions: The results of the study indicate that to improve preceptor's role recognition and job satisfaction, there should be special training programs to enhance preceptor's self leadership.

• Journal of the Korean Institute of Rural Architecture
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• v.24 no.2
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• pp.1-11
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• 2022

Purpose: The purpose of this study is to analyze image factors of places located in natural and humanistically superior geographical locations. It aims to analyze image recognition and spatiality of scenically historical Sahmyook University, located northeast of Gangneung, through standardization. Method: The analysis method of landscape is composed of data investigation and research, and elements of how students, faculty, and visitors recognize a place's beautiful image will be examined. Result: A phenomenological approach was applied to how the images of beautiful place were set by FGI group meeting, and how such factors affect beautiful place's perception from the user's point of view. When looking at comprehensive ranking of image factors in recognition of beautiful landscapes, factors corresponding to forest landscapes appear at the top rank. In determining factors for its recognition, shared space with natural elements such as water, trees, flowers, etc. has been analyzed to have the biggest influence. Among factors corresponding to urban landscape, 'streets and pedestrian paths' is of medium importance and are recognized for it is artificial structure coexisting with natural elements shared with humans. The image corresponding to 'city area' and 'architecture' was analyzed to have insignificant influence on beautiful places' image recognition for artificial element was prioritized.

• Journal of Korea Multimedia Society
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• v.13 no.4
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• pp.487-495
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• 2010

It has been required to develop an accurate and reliable evaluation method for the performance of biometric systems as their use is getting popular. Among a number of biometric systems, face recognition is one of the most widely used techniques and this leads to develop a stable evaluation method for face recognition systems in order to standardize the performance of face recognition systems. However, it is considered as a difficult task to evaluation such systems due to a large number of factors that affect their performance. Thus, it may be infeasible to take into account all the environmental factors that are related to the performance of face recognition systems and this naturally suggests an evaluation method for the overall performance based on scenarios. In this paper, we have analyzed environmental factors that are related to the performance of general face recognition systems and proposed their evaluation method taking into account those factors. We have proposed an evaluation method based on scenario that considers the combination of individual environment factors instead of evaluating the performance of face recognition systems regarding each factor. Indeed, we have presented examples on the evaluation of face recognition systems based on scenario that takes into account overall environmental factors.

• Proceedings of the IEEK Conference
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• 2003.07e
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• pp.1799-1802
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• 2003

This paper has been studied a Adaptive feature-factors based fingerprints recognition in many biometrics. we study preprocessing and matching method of fingerprints image in various circumstances by using optical fingerprint input device. The Fingerprint Recognition Technology had many development until now. But, There is yet many point which the accuracy improves with operation speed in the side. First of all we study fingerprint classification to reduce existing preprocessing step and then extract a Feature-factors with direction information in fingerprint image. Also in the paper, we consider minimization of noise for effective fingerprint recognition system.

• The Transactions of the Korea Information Processing Society
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• v.7 no.3
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• pp.1000-1012
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• 2000

There are many factors for face recognition. Two of those are orientation and brightness of illumination. In early studies of face recognition, with fixing these factors to good conditions th goal of research was focused on improving recognition rate itself. But they are very important factors to be solved for implementing face recognition system. In this paper, two methods wer proposed to minimize the influence of illumination. One is the local difference filter to reduce the influence fo variation of illumination. The other is weight function considering the horizontal difference of intensity. Applying tow proposed methods, the resultant recognition rate revealed 86.5% for 275 test images.

• Journal of Korean language education
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• v.29 no.3
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• pp.25-53
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• 2018

This study examined the influence of lexical factors on verbal Eojeol recognition. To meet the goal, forty-five L2 Korean learners and twenty-two Korean native speakers took Eojeol decision tasks measured with the lexical factors such as 'number of strokes', 'number of consonants and vowels', 'number of syllables', 'number of morphemes', 'whole Eojeol frequency', 'root frequency', 'first-syllable-sharing frequency', and 'number of dictionary meanings.' As a result, 'whole Eojeol frequency' was the most effective factor to predict Eojeol recognition reaction time for native speakers and L2 learners, which supports the full-list model. Other lexical factors influencing Eojeol recognition reaction time in L2 learners were different following their proficiency level.

• Journal of the Korean Society of Clothing and Textiles
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• v.30 no.4 s.152
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• pp.623-632
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• 2006

This study discusses the traditional costume of Korea and Japan and cognitive factors affecting its recognition by conducting a survey on both Korean and Japanese students so that comparative analysis of the differences about whether to rent or own traditional costume and about whether the students surveyed have visited the other country reciprocally, can be made to set the future course of the traditional costume which have gradually been worn less frequently and favored by less people. College students of Japan and Korea were chosen for this study and asked to fill in a questionnaire. 491 respondents were analyzed using SPSS10.0 for frequency analysis, factors analysis and t-test. Findings of this study are as follows: Firstly, there were 7 factors affecting the Korean student's recognition of Hanbok while 6 factors involved in Japanese student's recognition of Kimono. Korean students thought highly of the traditional costume and yet had less knowledge of it compared to the Japanese students. Secondly, analysis of the student's recognition of their counterpart's traditional costume showed that there were equally 4 factors affecting the student's recognition. Students found the traditional costume difficult to wear and uncomfortable when worn. Japanese students regarded Hanbok as an abstract form of the traditional Korean culture while Korean students viewed Kimono as a realistic form of something concrete. Thirdly, analysis of the differences about the recognition based on the student's owning or renting the traditional costume. or visiting the counterpart's country, showed that students owning the traditional costume were more positive about the traditional costume and well versed in it. And students having visited their counterpart's country thought more favorably of the traditional costume of their counterpart.