• 아시안잔디학회지
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• 제20권2호
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• pp.203-211
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• 2006

본 연구는 천연잔디, 인조잔디 및 맨땅 축구장이 축구 경기력에 미치는 영향을 구명하고자 하였다. 천연잔디 축구장은 한지형 잔디(켄터키 블루그래스 80%+퍼레니얼 라이그래스 20%)와 중엽형 한국잔디로 조성된 축구장이며, 인조잔디 축구장은 코니그린 $DV5000^{TM}$으로 조성하였고 맨땅 축구장은 마사토로 조성되었다. 축구 경기력 분석을 위한 볼 구름거리(m)와 수직 볼리바운드(m)는 2005년과 2006년 건국대학교 스포츠과학타운에서 조사하였다. 본 실험에 사용된 공은 한국축구협회(Korea Football Association)에서 공인된 Hummel Air Vision #1을 사용하였고 공기압은 1.0 1bs를 유지하였다. 볼 구름거리는 맨땅 축구장(13.6m) > 인조잔디 축구장(11.4m) > 한지형 잔디축구장(7.8m) > 한국잔디 축구장(4.7m) 순으로 길었다. 또한 볼 구름거리는 잔디의 사용빈도가 적을수록, 잔디의 직립정도가 강할수록, 잔디의 밀도가 높을수록 짧아지는 경향이었다. 수직 볼리바운드 역시 맨땅 축구장(1.0m) > 인조잔디 축구장(0.98m) > 한지형 잔디 축구장(0.68m) > 한국잔디축구장(0.4m) 순으로 높았다. 수직 볼 리바운드는 잔디의 사용빈도가 적을수록, 잔디의 직립정도가 강할수록, 잔디의 밀도가 높을수록 낮아지는 경향이었다. 표준관리가 되는 한지형 잔디 축구장은 조성연수에 따른 볼 구름거리와 수직 볼 리바운드에 미치는 영향이 적었다. 반면 표준 관리가 하지 않은 한국잔디 축구장은 오래 될수록 볼 구름거리는 길어졌고 수직 볼 리바운드 역시 높았다.

• 한국의류산업학회지
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• 제7권2호
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• pp.143-152
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• 2005

A concept of 'digital' is changing a living pattern of moderners, with having influence on the whole life of modern society. The purpose of this study is arrange the frame of conformity to the 'fashion as culture' by considering the social and cultural phenomena being shown in relation to digital, which is a concept being watched most for the 21st century and by trying to analyze a tendency of digital culture being shown in the modernly fashion design based on this. The digital culture, which is a concept of generalizing the phenomena of interactional changes in the sub-structure being derived by digital technology, is being shown as a tendency of fusionization and globalization, and due to this, the culture of digital nomads is being formed. On the other hand, a tendency of amenity caused by the reaction against the coldly digital technology, is forming one axis of digital culture. As the culture, which experiences the process of a change by digital technology, is reflected even on the fashion, the fusion of technology and the human body, brought about the appearance and the development of the artificial body, by allowing the wearable computer to be introduced to fashion and by being connected directly to the body. This means the expansion of range for fashion. The destruction of a border between space and space, is making an opportunity of forming another ego inside the cyber space, with bringing about the mixed loading between the cyber space and the real space. As the border between the cyber space and the real space is being collapsed, the space of newly self-realization is being created. The collapse of gender is being shown as the pursuit of gender, which is a nomadic concept of not giving priority to anywhere of male gender and female gender. The tendency of sensitive design introduced the sports look as the largely fashion trend. Fascinated with Zen thoughts is leading to a response to the swiftly and coldly social conditions caused by machine. The digital culture by digital technology and the fashion tendency being shown by its influence, meet the needs of self-realization and self-expansion for a human being, and satisfy the needs for the expression of self-identity for a human being, and enable the search for introspection about inner existence inside the self.

• The International Journal of Costume Culture
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• 제8권1호
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• pp.32-42
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• 2005

This paper aims to propose fashion designs based on the application of art flower technique to translucent clothing material. For study method, firstly I looked into art flower applications occurred in modern trend since 2000 as well as theoretical research on art flower and transparency expressed as artificial beauty. Second, I attempt to express transparency in a variety of unique ways by using the art flower technique in producing clothes. Third, I utilized transparent flower with translucent clothing material and tried to suggest fashion design attempting mixture of new materials. As a result, firstly transparent image and material are well fitted in with modern trend and especially it was very suitable for expressing feminine beauty. Second, transparency was the element to suggest creative formative world in fashion design in regard to flower's beauty, various shapes and colors and to provide infinite materials as design motive. Third, the combination of knit clothing and plastic art flower displayed a new form of material combination. Especially as translucent material is fitted with trend such as function, lightness and variableness in modern times of the $21^{st}$ century, it presents beautiful combination with transparent flower. Fourth, Silk flower technique is variously used in art flower techniques. Various possibility ranges are presented such as flower was recreated with artificial image by silk flower technique to be newly expressed and various materials like aesthete film can be also expressed with silk flower technique.

• 복식문화연구
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• 제15권2호
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• pp.214-220
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• 2007

The purpose of this study is to derive the use of the luminous source corresponding to the intention and contribute to product display by visually evaluating the relations between luminous source and colors, analyzing and reviewing the subjective perceptions depending on the luminous source, and clarifying the colors of artificial luminous source that look close to natural lights by each color. Hence, the researcher objectified the subjective evaluation for which they used sensory evaluation method with four colors of luminous sources(natural colors, 2800K, 4200K, and 6500K) and five colors of textiles(purple, blue, green, yellow, and red) by quantifying the evaluation. As a result, we could obtain the conclusion as follows. As for the temperature of textile colors under artificial luminous sources that appeared most close to the colors of textiles under natural luminous sources, 6500K was most frequent, and the temperature of the luminous sources that appeared most different was 2800K. However, as there were also 4200K colors that looked most close to the textile colors under natural light source, it was observed that the temperature differs depending on the textile colors. In addition, less glossy textiles exhibited more visual changes by luminous source colors than comparatively more glossy textiles, and it was observed that the most influenced color was purple, as purple has shown the largest difference among colors.

• International Journal of Advanced Culture Technology
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• 제5권2호
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• pp.74-81
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• 2017

Recently, there are many companies that use systems based on artificial intelligence. The accuracy of artificial intelligence depends on the amount of learning data and the appropriate algorithm. However, it is not easy to obtain learning data with a large number of entity. Less data set have large generalization errors due to overfitting. In order to minimize this generalization error, this study proposed DGA(Dropout Genetic Algorithm) which can expect relatively high accuracy even though data with a less data set is applied to machine learning based genetic algorithm to deep learning based dropout. The idea of this paper is to determine the active state of the nodes. Using Gradient about loss function, A new fitness function is defined. Proposed Algorithm DGA is supplementing stochastic inconsistency about Dropout. Also DGA solved problem by the complexity of the fitness function and expression range of the model about Genetic Algorithm As a result of experiments using MNIST data proposed algorithm accuracy is 75.3%. Using only Dropout algorithm accuracy is 41.4%. It is shown that DGA is better than using only dropout.

• International Journal of Advanced Culture Technology
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• 제8권3호
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• pp.54-60
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• 2020

Online cybercrime has various causes. The criminal guilty language, Criminal lingo is active in the shaded area with the bilateral aspect of the word on cyber. It has been continuously producing massive risk factors in cyberspace. Criminals are shared and disseminated online. It has been linked with fake news and aids to suicide that has recently become an issue. Thus the criminal lingo has become a real danger factor on cyber interface. Recently, Criminal lingo is shared and distributed as cyber hazard information. It is transformed that damaging to the youth and ordinary people through the internet and social networks. In order to take action, it is necessary to construct an expert system based on AI to implement a smart management architecture with block-chain technology. In this paper, we study technically a new smart management architecture which uses artificial intelligence based decision algorithm and block-chain tracking technology to prevent the spread of criminal lingo factors in the evolving cyber world. In addition, through the off-line regular patrol program of police units, we proposed the conversion of online regular patrol program for "cyber harem area".

• 식물조직배양학회지
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• 제21권3호
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• pp.183-186
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• 1994

태백벼의 현탁배양세포주로부터 유도된 체세포배를 낱개로 알진산 캡슐화하여 인공종자화하였다. 인공종자는 1/2 MS 고체배지에서 73%의 발아율을 나타내었으며 알진산 캡슐은 체세포배의 발아율에 영향을 주지 않았다. 그러나 멸균되지 않은 여과지에서는 발아율이 60%로 낮아졌다. 캡슐화된 진정종자는 무균상태여부에 관계없이 높은 발아율을 나타내었다. 이상의 결과로 무균상태가 유지되지 않을 때 인공종자 발아율이 낮아지는 것은 체세포배가 진정종자의 접합자배보다 오염을 견디기 어렵기 때문인 것으로 사료된다.

• 한국미생물·생명공학회지
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• 제22권6호
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• pp.685-691
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• 1994

The biodegradation of aromatic compounds by mixed and monoculture was investigated in an artificial wastewater containing 500 mg/l of benzene(B), phenol(P), and toluene(T) in various combinations. None of three strains utilized P-xylene(X) as a carbon source, but they grew well on p-xylene in mixtures with benzene and toluene. In the mixed culture on mixed substrate, the length of lag phase was different depending on the nature of mixture. Cell growths of Flavobac- terium sp. BEN2 and Acinetobacter sp. GEM63 were inhibited in the presence of a 500 mg/l of phenol. When the mixed culture of three strains was cultured in a bench-scale reactor containing artificial wastewater, each of benzene, phenol, and toluene was not detected at 30 hrs, 50 hrs, and 12 hrs after incubation in the treatment. The removal rates of COD$_{t}$(total COD) and COD$_{s}$,(soluble COD) of upper phase after centrifugation during early 50 hrs were ca. 80% and ca. 93.8%, respectively.

• International Journal of Advanced Culture Technology
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• 제11권3호
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• pp.310-314
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• 2023

The purpose of this study is to predict the remaining capacity of lithium-ion batteries and evaluate their performance using five artificial intelligence models, including linear regression analysis, decision tree, random forest, neural network, and ensemble model. We is in the study, measured Excel data from the CS2 lithium-ion battery was used, and the prediction accuracy of the model was measured using evaluation indicators such as mean square error, mean absolute error, coefficient of determination, and root mean square error. As a result of this study, the Root Mean Square Error(RMSE) of the linear regression model was 0.045, the decision tree model was 0.038, the random forest model was 0.034, the neural network model was 0.032, and the ensemble model was 0.030. The ensemble model had the best prediction performance, with the neural network model taking second place. The decision tree model and random forest model also performed quite well, and the linear regression model showed poor prediction performance compared to other models. Therefore, through this study, ensemble models and neural network models are most suitable for predicting the remaining capacity of lithium-ion batteries, and decision tree and random forest models also showed good performance. Linear regression models showed relatively poor predictive performance. Therefore, it was concluded that it is appropriate to prioritize ensemble models and neural network models in order to improve the efficiency of battery management and energy systems.

• International Journal of Advanced Culture Technology
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• 제11권1호
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• pp.320-324
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• 2023

As urbanization accelerates and facilities that use energy increase, human life and property damage due to fire is increasing. Therefore, a fire monitoring system capable of quickly detecting a fire is required to reduce economic loss and human damage caused by a fire. In this study, we aim to develop an improved artificial intelligence model that can increase the accuracy of low fire alarms by mixing DeepSORT, which has strengths in object tracking, with the YOLOv5s model. In order to develop a fire detection model that is faster and more accurate than the existing artificial intelligence model, DeepSORT, a technology that complements and extends SORT as one of the most widely used frameworks for object tracking and YOLOv5s model, was selected and a mixed model was used and compared with the YOLOv5s model. As the final research result of this paper, the accuracy of YOLOv5s model was 96.3% and the number of frames per second was 30, and the YOLOv5s_DeepSORT mixed model was 0.9% higher in accuracy than YOLOv5s with an accuracy of 97.2% and number of frames per second: 30.