• Journal of the Korean Institute of Landscape Architecture
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• v.29 no.3
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• pp.10-18
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• 2001

The purpose of this study is to research the influence of soundscape in the preference of landscape. Specifically, Standards types of communications are applied to the landscape such as artificial waterscapes and natural valley. The spatial image was analyzed by the variables of Kaplan´s information processing model. The level of visual preferences was measured by a type of acoustic information in landscape and media of communication, and these data were analyzed by multiple regression. The results of this study can be summarized as follows; The value of landscape preference was not different from all fluent of coherence, complexity, legibility ,mystery and preference utilized the communication media, but it was different by the type of acoustic information in landscape. These results clearly show the influence of sound affecting decisions of landscape preference. The factors determining the level of landscape preference were found to be coherence, complexity, legibility, mystery and dummy variables of acoustic information in landscape and media od communication. These variables amy be the major factors which must be considered on planning and designing as the functional basis for the quantitative analysis.

• Proceedings of the Korean Society of Computer Information Conference
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• 2021.07a
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• pp.559-560
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• 2021

본 논문에서는 인공지능, 사물인터넷 등 4차 산업혁명 기술을 기반으로 생산 업체와 공급 업체 간의 공급망의 가시성, 안전성, 효율성 향상을 위한 물류 표준을 준수하며 고도화 및 지능화된 스마트 SCM 솔루션을 제시하고자 한다. 이를 위해 사물 인터넷, 인공지능 기술을 기반으로 공급망의 가시성, 안전성, 효율성 향상을 위한 물류 표준을 준수하며 고도화되고 지능화된 효율적인 자동 발주 솔루션을 제시한다. 자동 발수 솔루션은 협력업체와의 생산계획정보, 발주정보, 납품정보, 품질판정정보, 재고현황 등의 제품 데이터를 실시간 공유하는 웹 기반 솔루션이다.

• Journal of the Korea Society of Computer and Information
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• v.27 no.8
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• pp.241-251
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• 2022

Diagnosis and management of customer's skin condition is an important essential function in the cosmetics and beauty industry. As the social media environment spreads and generalizes to all fields of society, the interaction of questions and answers to various and delicate concerns and requirements regarding the diagnosis and management of skin conditions is being actively dealt with in the social media community. However, since social media information is very diverse and atypical big data, an intelligent skin condition diagnosis system that combines appropriate skin condition information analysis and artificial intelligence technology is necessary. In this paper, we developed the skin condition diagnosis system SCDIS to intelligently diagnose and manage the skin condition of customers by processing the text analysis information of social media into learning data. In SCDIS, an artificial neural network model, AnnTFIDF, that automatically diagnoses skin condition types using artificial neural network technology, a deep learning machine learning method, was built up and used. The performance of the artificial neural network model AnnTFIDF was analyzed using test sample data, and the accuracy of the skin condition type diagnosis prediction value showed a high performance of about 95%. Through the experimental and performance analysis results of this paper, SCDIS can be evaluated as an intelligent tool that can be used efficiently in the skin condition analysis and diagnosis management process in the cosmetic and beauty industry. And this study can be used as a basic research to solve the new technology trend, customized cosmetics manufacturing and consumer-oriented beauty industry technology demand.

• Korean Journal of Soil Science and Fertilizer
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• v.40 no.3
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• pp.189-195
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• 2007

Using fractal dimensionality theory proposed by Riew and Sposito (1991), we attempted to analyze quantitatively the characteristics of porous distribution for built-in soils in the mini-lysimeter and artificial seed-bed media. The 2" stainless core soil samples were taken from lysimeter soils. Artificial seed-bed media were compacted in the acrylic core filled with raw materials consisted of cocopeat, zeolite and perlite. N (Constant number of partitioned group size smaller media volumes) and r (Self-similarity ratio) parameters consisting of fractal dimension D=log(N)/log(1/r) were obtained by Excel Programme using the Riew and Sposito's fractal model. The pore distribution of tested media was screened in pore size and its occurring frequency. The results reveal that the distribution range of pores is wider in the lysimeter soils than in the seed-bed media, while average size of pores in the media is smaller in lysimeter core soils than in seed-bed media.

• Journal of the Korean Institute of Landscape Architecture
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• v.29 no.5
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• pp.20-27
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• 2001

The purpose of this study is to investigate and compare the validity and the reliability of the visual simulation method using the internet. For this. the evaluation of the artificial and natural landscape through the medium of color slides are compared with the internet survey. Data is analysed through the comparison of t-test between the two media by landscape type, and spatial image is analysed by factor analysis algorithm. Principle component analysis using Varimax Method is applied for extraction and factor rotation respectively. The results of this study can be summarized as follows; There are no statistical differences between the two methods with artificial and natural landscape in the total data that included second tests. Factors covering the spatial image are found to be \`aesthetic\`, \`spatial shape\`, and \`familiarity\`. Total variance is obtained as 66.4%. There are no statistical differences between the two methods in 2/3 of the cases. In the case of far view of artificial landscape, the results of the t-test show that the two methods are exactly the same. Especially in the case of the artificial far landscape shows no difference of all factors between two methods. There are no differences between first and second tests of the same media and the same landscape type. And it shows the reliability of this method. These results suggest that the probability that the internet can be used as a medium of landscape evaluation and gathering information on anyone\`s landscape image. Simulation techniques with the internet survey method should be further developed for practical application.

• Smart Media Journal
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• v.13 no.3
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• pp.45-52
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• 2024

In today's growing threat environment, rapid and effective detection and response to security events is essential. To solve these problems, many companies and organizations respond to security threats by introducing security control systems. However, existing security control systems are experiencing difficulties due to the complexity and diverse characteristics of security events. In this study, we propose an automated integrated security control system model based on artificial intelligence. It is based on deep learning, an artificial intelligence technology, and provides effective detection and processing functions for various security events. To this end, the model applies various artificial intelligence algorithms and machine learning methods to overcome the limitations of existing security control systems. The proposed model reduces the operator's workload, ensures efficient operation, and supports rapid response to security threats.

• The Korean Journal of Mycology
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• v.15 no.1
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• pp.42-47
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• 1987

4 strains of the oak mushroom Lentinus edodes including the strain ASI 3046 were collected home and abroad to investigate the characterics of mycelial growth on synthetic media and sawdust media. The possibility of artificial culture of Lentinus edodes on media composed of different saw dusts and adding materials was investigated. Results were as follows: The optimum temperature for growth ranged from $22^{\circ}C$ to $26^{\circ}C$ among the lineages of Lentinus edodes. The optimal growth temperature for ASI 3046 strain and ASI 3047 strain was $26^{\circ}C$ and $22^{\circ}C$, respectively. The optimal carbon source for ASI 3046 strain was glucose, and peptone and ammoinum tartrate were proved excellent as nitrogen sources. When Lentinus edodes was cultured on sawdust media by varying the mixing ratio of different sawdusts and adding materials, mixed sawdust media composed of oak sawdust(50%, v/v), poplar sawdust(50%, v/v), acorn powder(5%, v/v) and rice bran(10%, v/v) showed higher yields of fruit bodies. Results showed that the ideal strain of Lentinus edodes for artificial culture on sawdust media was strain ASI 3046.

• Korean Journal of Ecology and Environment
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• v.41 no.spc
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• pp.93-98
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• 2008

We investigated the effect on the removal of BOD, SS, TN and TP and algal growth inhibition of Vegetated Artificial Floating Island (VAFI), by examining microorganism activity and nutrient uptake in the batch test of various conditions: (1) Blank (Control group), (2) VAFI of $0.25m^2$, (3) AFI of $0.25m^2$ which has no vegetation, (4) buoyant plate of $0.25m^2$, (5) buoyant plate of $0.25m^2$ with linear media. The proportion of BOD removal in the VAFI, AFI, buoyant plate and buoyant plate with media were 82.7, 80.8, 45.2% and 59.6% respectively. TN removal in the VAFI, AFI and buoyant plate with media were 51.2, 31.7% and 25.1% respectively. TP removal in the VAFI, AFI, buoyant plate and buoyant plate with media were 23.3, 16.7, 10.0% and 13.3% respectively. Chlorophyll-${\alpha}$ removal in the VAFI was 97.9%. The factors of chlorophyll-${\alpha}$ removal in the VAFI accounted for the shading effect of 35.1%, microorganisms activity of 61%, and plant root of 1.8%.

• Journal of Broadcast Engineering
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• v.27 no.4
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• pp.519-526
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• 2022

Identifying and searching for characters appearing in scenes during multimedia video editing is an arduous and time-consuming process. Applying artificial intelligence to labor-intensive media editing tasks can greatly reduce media production time, improving the creative process efficiency. In this paper, a method is proposed which combines existing artificial intelligence based techniques to automate character recognition and search tasks for video editing. Object detection, face detection, and pose estimation are used for character localization and face recognition and color space analysis are used to extract unique representation information.

• Korean Journal of Plant Resources
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• v.11
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• pp.126-128
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• 1998