• The Journal of the Korea Contents Association
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• v.17 no.11
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• pp.70-81
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• 2017

The aim of this study is to understand the effects of a self-leadership program on career recognition and self-efficacy in adolescents under probation. As a result, it was discovered that the self-leadership program had statistically significant differences in self-understanding, the understanding of work and the job world, setting a career goal and strategies in the sub-area of career recognition in adolescents under probation while there was no significant difference in the area of attitudes and values of work. The self-leadership program had statistically significant differences in confidence, self-regulated efficacy among the sub-area of self-efficacy of the subjects while there were no significant differences in the difficulty of the challenge. These results suggest that the self-leadership program had significant effects on career recognition and self-efficacy in adolescents under probation. In order to improve the career recognition and self-efficacy in adolescents under probation, further studies on the self-leadership program are needed and care should be paid to its usability.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.6
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• pp.659-665
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• 2019

Various placards are attached to the surface of a container depending on the risk of the cargo loaded. Containers with dangerous goods should be managed separately from ordinary containers. Therefore, as part of the port automation system, there is a demand for automatic recognition of placards. In this paper, proposed is a system that automatically extracts the placard area based on the shape features of the placard and recognizes the contents in it. Various distortions can be caused by the surface curvature of the container, therefore, attention should be paid to the area extraction and recognition process. The proposed system can automatically extract the region of interest and recognize the placard using the feature that the placard is diamond shaped and the class number is written just above the lower vertex. When the proposed system is applied to real images, the placard can be recognized without error, and the used techniques can be applied to various image analysis systems.

• Culinary science and hospitality research
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• v.14 no.4
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• pp.244-256
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• 2008

This study is intended to be used as basic data to understand the role of a food coordinator who creates an environment for eating and to develop menus by studying the expectations of female customers about the food coordinator's role. The reported concepts of the role of a food coordinator were divided into six factors-food(Eigen value 3,181), seat, cutlery, atmosphere, convenience, and sanitation. According to an analysis of the expected factors concerning the role of a food coordinator in terms of the amount paid, when women visited any restaurant once, the factors of "food" and "atmosphere" showed a significant difference(p<0.05) while the other factors did not. According to an analysis of the recognition of a food coordinator in terms of the number of visits, the questions concerning recognition of the job of "food coordination," the necessity of the role and the expectations of the role showed a significant difference (p<0.05). The question on willingness to pay, in relation to the role of a food coordinator, showed a negative response about the direct payment of guests regardless of the number of restaurant visits.

• The Transactions of the Korean Institute of Electrical Engineers D
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• v.49 no.7
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• pp.389-398
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• 2000

The popular methods to check the identity of individuals include passwords and ID cards. These conventional method for user identification and authentication are not altogether reliable because they can be stolen and forgotten. As an alternative of the existing methods, biometric technology has been paid much attention for the last few decades. In this paper, we propose an efficient system for recognizing the identity of a living person by analyzing iris patterns which have a high level of stability and distinctiveness than other biometric measurements. The proposed system is based on wavelet transform and a competitive neural network with the improved mechanisms. After preprocessing the iris data acquired through a CCD camera, feature vectors are extracted by using Haar wavelet transform. LVQ(Learning Vector Quantization) is exploited to classify these feature vectors. We improve the overall performance of the proposed system by optimizing the size of feature vectors and by introducing an efficient initialization of the weight vectors and a new method for determining the winner in order to increase the recognition accuracy of LVQ. From the experiments, we confirmed that the proposed system has a great potential of being applied to real applications in an efficient and effective way.

• International Journal of Internet, Broadcasting and Communication
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• v.14 no.4
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• pp.58-63
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• 2022

Recently, the improvement of computational processing ability due to the rapid development of computing technology has greatly advanced the field of artificial intelligence, and research to apply it in various domains is active. In particular, in the national defense field, attention is paid to intelligent recognition among machine learning techniques, and efforts are being made to develop object identification and monitoring systems using artificial intelligence. To this end, various image processing technologies and object identification algorithms are applied to create a model that can identify friendly and enemy weapon systems and personnel in real-time. In this paper, we conducted image processing and object identification focused on tanks among various weapon systems. We initially conducted processing the tanks' image using a convolutional neural network, a deep learning technique. The feature map was examined and the important characteristics of the tanks crucial for learning were derived. Then, using YOLOv5 Network, a CNN-based object detection network, a model trained by labeling the entire tank and a model trained by labeling only the turret of the tank were created and the results were compared. The model and labeling technique we proposed in this paper can more accurately identify the type of tank and contribute to the intelligent recognition system to be developed in the future.

• Proceedings of the Korean Institute of Interior Design Conference
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• 2005.10a
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• pp.223-226
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• 2005

The latest trend of our medical industry seems to have a raise on more expectation and interest in mystical therapeutics of herb medicine and its efficiency especially for the disease such as chronicity and other obstinacy that used to be impossibie to be cured with only Western medical treatment. potentiality of ideal medical treatment through interchanging of medical study between Eastern and Western is becoming an issue today. Herb medicine is our native ethnic medicine and is based on the friendly-nature and human oriented under one of the classification of natural medicine. The point of this medicine has a strong connection with the conceptional trait of Health-Care that is been newly paid a lot of attention in Western medical science. This 'Y'Oriental Medical Clinic Interior Design is to grant a new possibility of global recognition of herb medicine getting over from a limited ethnic medicine by correcting the existing problems and expanding its scope to a part of natural medicine and to newly establish its meaning as a space for Health-Care utilizing a concept of nature.

• Journal of the Korean Society of Food Culture
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• v.26 no.6
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• pp.554-561
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• 2011

The nutritional value of kimchi is gaining global focus along with new possibilities and uses for the various salts used in making kimchi. The purpose of the study is to conduct research on the uses of various salts and investigate the consumer recognition of salt use in kimchi preparation. The findings are from 824 consumers over 19 years old from 15 locations who participated in this questionnaire via one-to-one interviews from September 23rd to October 14th, 2009. The results of the questionnaire show that when customers cooked, 71.9% used solar salt, 62.2% used flower salt (refined salt), 27.4% used Hanju salt (purified salt), 59.0% used processed salt (roasted salt), 47.4% used bamboo salt, 69.4% used Mat salt (table salt), and 18.2% used low sodium salt. The most preferred origin of salts was domestic. Most customers salted Chinese cabbage while preparing kimchi. Consumers showed low perceptions of different salts used in kimchi production, and did not exactly recognize the characteristics of various salts. The preferences for domestic and solar salts were very high, while the preference for sea salts was low. In conclusion, various types of salts could improve the quality of kimchi. This study hopes to help consumers produce better kimchi to match different needs. Therefore, attention should be paid to promoting the characteristics of various salts influencing the quality of kimchi.

• Journal of Korean Institute of Industrial Engineers
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• v.31 no.1
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• pp.27-35
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• 2005

Due to the importance of lead time demand in the design of inventory management systems, researchers and practitioners have paid continuous attention and a few analytic models using the compound distribution approach have been reported. However, since the nature of compound distributions is hardly amenable, the analytic models have been done by non‐recognition of the compound nature of some components to reduce the analytic task. This study concerns some of the important aspects in the analytic models. Through the theoretic examination of the analytic model approach and the comparison with the rigid compound stochastic process approach, this study clarifies the assumptions implicitly made by the analytic models and provides some precautions in using the analytic models. Illustrative examples are also presented.

• Knowledge Management Research
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• v.13 no.3
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• pp.17-36
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• 2012

With wide recognition of significant roles of venture companies in economic and industrial developments, substantial academic attention has been paid to understanding venture success and numerous policy measures have been made to help them. A serious problem, however, is that only a few limited number of venture could successfully grow to be large firm. The goal of this paper is to identify critical factors to drive 'leapfrogging' growth of venture companies by analyzing the success cases in Daejeon area. The theoretical analysis and case study suggest 1) founders' entrepreneurship continuity as a significant internal organization factor for growth and highlight importance of 2) exploring foreign markets and globalization of business operation in the early stage of growth. Furthermore, the research results identify two critical innovation strategies, 3) ambidextrous R&D strategy and 4) open innovation strategy, for entrepreneurial founders to effectively catch the business chances brought by environment change.

• Proceedings of the KSR Conference
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• 2011.10a
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• pp.281-286
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• 2011

Station structures, one of important infrastructures, which have been being operated since the 1970s, are especially vulnerable to even the medium-level earthquake and they could be damaged by long-term internal or external vibrations such as ambient vibrations. Recently, much attention has been paid to real-time monitoring of the fatal defect or long-term deterioration of civil infrastructures to ensure their safety and adequate performance throughout their life span. In this study, a structural health monitoring methodology using acceleration responses is proposed to evaluate the health-state of the station structures and to detect initial damage-stage. A damage index is developed using the acceleration data and it is applied to outlier analysis, one of unsupervised learning based pattern recognition methods. A threshold value for the outlier analysis is determined based on confidence level of the probabilistic distribution of the acceleration data. The probabilistic distribution is selected according to the feature of the collected data.