• Fashion & Textile Research Journal
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• v.6 no.1
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• pp.102-108
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• 2004

The anthropometric measurement and the photometric measurement for have been conducted 358 children from 4 years old to 6 years old to design children's clothing. The characteristics of body type were grasped among total 44 measurement items according to the aging, being extracted seven factors from factor analysis. From cluster analysis among the seven factors the three body types were classified. Type 1 shows low fat body with a small figure and short upper body. The body has a round belly and waist. Type 2 shows the fattest body with an average height. The body has been backed with lower shoulders. Type 3 shows common fat body with a high height and a big figure. The body shows crooked round back with a big upper body and rising shoulders.

• Journal of Korean Neurosurgical Society
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• v.58 no.3
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• pp.286-290
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• 2015

We report a case of neurilemmoma of deep peroneal nerve sensory branch that triggered sensory change with compression test on lower extremity. After resection of tumor, there are evoked thermal changes on pre- and post-operative infrared (IR) thermographic images. A 52-year-old female presented with low back pain, sciatica, and sensory change on the dorsal side of the right foot and big toe that has lasted for 9 months. She also presented with right tibial mass sized 1.2 cm by 1.4 cm. Ultrasonographic imaging revealed a peripheral nerve sheath tumor arising from the peroneal nerve. IR thermographic image showed hyperthermia when the neurilemoma induced sensory change with compression test on the fibular area, dorsum of foot, and big toe. After surgery, the symptoms and thermographic changes were relieved and disappeared. The clinical, surgical, radiographic, and thermographic perspectives regarding this case are discussed.

• The Journal of Korea Robotics Society
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• v.2 no.4
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• pp.346-352
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• 2007

As the new industry of this 21centuries, theme park is the important position to the front leader countries as a new growth engine due to its industrial-economical and cultural-social effect. While domestic theme park industries show lower competitive position with global theme park in aspect of management and qualities and have weak brand power. The global situation of present service robot industry of the world is the beginning stage and the time for strengthening competitive position and the best opportunity becoming global leader of world markets by prior occupation through provision of factitious market creating big demand. Robot theme park is possibile to provide such big demand of various robot and this paper present of ideas for robot theme park.

• Journal of the speleological society of Korea
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• no.4
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• pp.69-78
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• 1996

During the year and a half of preparation for the Untnmed Ri Expedition (Caves $ Caving 29 p. 29) a lot of time was devoted developing the techniques we would use to explore the roaring wh waters of Nare. We finally left for New Britain with a whole new set caving rules and hardware which would not be out of place in an Indi Jones movie. The first serious work to tackle this new problem in caving wa pioneered by the French in 1978 after the discovery of the Nare. M and Kavakuna - all big river caves with flows of 15-20 cumes. We tir out these techniques on the white water rivers of north Wales. ma some improvements and tested some new ideas. This articles is a summary of our research and experience.

• Proceedings of the Technology Innovation Conference
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• 2003.06a
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• pp.26-40
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• 2003

Korean enterprises have increased their R&D efforts to a large scale since the 1990s, especially after IMF jurisdiction period. The number of research institutes and R&D resources increased sharply. In line with the increase of R&D efforts, this paper investigates how well Korean firms manage R&D capabilities. According to our analysis, Korean enterprises adopt about the 2.3th to 2.7th generation of R&D management. In spite of insufficient R&D resources, Korean SMEs adopt a similar level of R&D management practice to that of big firms. However, some big enterprises have already adopted the 4th generation of R&D management. Also, many SMEs adopt a much lower level of R&D management than average level. In this sense, it is necessary to make an in-depth study on firms'R&D management capabilities by utilizing various factors of R&D generation model.

• Culinary science and hospitality research
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• v.13 no.4
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• pp.67-79
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• 2007

This study verified the relationship between the personality traits and the job preference in the foodservice industry. Questionnaire was held with targeting to the persons who engage in the foodservice industry, especially restaurants located in Seoul and Gyeonggi Province. Factor analysis, regression analysis, t-analysis and dispersion analysis were carried out as the methodology of this study to analyze the relation with the Big Five Theory of Personality, which includes agreeableness, conscientiousness, extraversion, openness to experience, and neuroticism and job preference. As a result, conscientiousness, openness to experience and neuroticism were founded as the meaningful factors of effect on the job preference. In order to promote the job preference in the foodservice industry, engagement of employees who have suitable personality traits should be considered as an important issue in result of this study.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2007.11a
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• pp.1-4
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• 2007

Because reinforced concrete structures were being high more and more in recent year, concrete was being demanded high performance of high strength and high fluidity. But various characteristics must be confirmed besides guarantee of demand strength in ultra-high strength concrete. In ultra-high strength concrete, autogenous shrinkage and drying shrinkage grow big because of a low water cement ratio and much quantity of binder. So dangerousness of crack generation grow big in early ages. And ultra-high strength concrete is influenced by use materials more than ordinary strength concrete. In this study we were examined mix design, atuogenous shrinkage and pumpability of ultra-high strength concrete to apply on the ground.

• Journal of Information Processing Systems
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• v.16 no.4
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• pp.795-808
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• 2020

Due to the poor evaluation indexes such as detection accuracy and recall rate when Yolov3 network detects aircraft in remote sensing images, in this paper, we propose a remote sensing image aircraft detection method based on machine vision. In order to improve the target detection effect, the Inception module was introduced into the Yolov3 network structure, and then the data set was cluster analyzed using the k-means algorithm. In order to obtain the best aircraft detection model, on the basis of our proposed method, we adjusted the network parameters in the pre-training model and improved the resolution of the input image. Finally, our method adopted multi-scale training model. In this paper, we used remote sensing aircraft dataset of RSOD-Dataset to do experiments, and finally proved that our method improved some evaluation indicators. The experiment of this paper proves that our method also has good detection and recognition ability in other ground objects.

• KEPCO Journal on Electric Power and Energy
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• v.6 no.4
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• pp.399-404
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• 2020

There are many attempts to apply AI technology to diagnose facilities or improve the work efficiency of the power industry. The emergence of new machine learning technologies, such as deep learning, is accelerating the digital transformation of the power sector. The problem is that traditional power systems face security risks when adopting state-of-the-art AI systems. This adoption has convergence characteristics and reveals new cybersecurity threats and vulnerabilities to the power system. This paper deals with the security measures and implementations of the power system using machine learning. Through building a commercial facility operations forecasting system using machine learning technology utilizing power big data, this paper identifies and addresses security vulnerabilities that must compensated to protect customer information and power system safety. Furthermore, it provides security guidelines by generalizing security measures to be considered when applying AI.

• International journal of advanced smart convergence
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• v.11 no.2
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• pp.1-6
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• 2022

With the emergence of the new era of the 4th industrial revolution, compute-bound workloads with large memory footprint like big data processing increase dramatically. Even in such compute-bound workloads, however, we observe bulky I/Os while loading big data from storage to memory. Although file I/O cache plays a role of accelerating the performance of storage I/O, we found out that the cache hit rate in such environments is not improved even though we increase the file I/O cache capacity because of some special I/O references generated by compute-bound workloads. To cope with this situation, we propose a new file I/O cache management policy that improves the cache hit rate for compute-bound workloads significantly. Trace-driven simulations by replaying file I/O reference logs of compute-bound workloads show that the proposed cache management policy improves the cache hit rate compared to the well-acknowledged CLOCK algorithm by a large margin.