• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2002.05a
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• pp.195-200
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• 2002

ART (Adaptive Resonance Theory [1]) neural network and its variations perform non-hierarchical clustering by unsupervised learning. We propose a scheme "arboART" for hierarchical clustering by using several ART1.5-SSS networks. It classifies multidimensional vectors as a cluster tree, and finds features of clusters. The Basic idea of arboART is to use the prototype formed in an ART network as an input to other ART network that has looser distance criteria (Ishihara, et al., [2,3]). By sending prototype vectors made by ART to one after another, many small categories are combined into larger and more generalized categories. We can draw a dendrogram using classification records of sample and categories. We have confirmed its ability using standard test data commonly used in pattern recognition community. The clustering result is better than traditional computing methods, on separation of outliers, smaller error (diameter) of clusters and causes no chaining. This methodology is applied to Kansei evaluation experiment data analysis.

• Journal of Korean Academic Society of Home Health Care Nursing
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• v.7 no.1
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• pp.39-57
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• 2000

This study was conducted to identify the current situation of home care nursing research and to propose future research in the area of home care nursing in Korea. The design was a retrospective descriptive study based on 171 studies. The studies were collected from nursing academic magazines, the national library web site and dissertations on home care. The data were classified according to the independent and dependent variables which were represented in the research title. The final category classification was defined by considering the research objectives and content as found in the 171 studies. Eight categories were created to describe the results of home care nursing research in Korea. They included: home care needs. home care services. home care costs. development of home care programs and equipment. management of home care services. effectiveness of home care services, development of an educational curriculum for home care, and recognition of home care services. Based on our research we have identified other future research areas that need to be developed such as community needs assessment, standards and guidelines for home care nursing, quality assurance and quality improvement for controlling home care quality, home care informatics. and a system of home care cost and ethics.

• Journal of Agricultural Extension & Community Development
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• v.23 no.3
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• pp.243-255
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• 2016

This study aims to identify the characteristics of businesses influencing the choice of their type in the 6th industry and analyze how they work. This study analyzed data of 752 businesses certified as belonging to the 6th industry in 2015 through the classification and regression tree (CART) algorithm in decision tree analysis. The results of analysis showed that the type of agricultural product processing, region, the type of service, and the production percentage in a province affected a choice of the type. The most important variable that impacted how businesses in the 6th industry chose their type was the type of agricultural product processing, and if a business produced simple agricultural products, it was likely to specialize into $1st^*2nd$ or $1st^*3rd$. Access to large consumption areas was a critical factor in the growth of 2nd and 3rd industrial functions. These findings would contribute to establishing a model to develop the 6th industry and empirically demonstrate the importance of access to large consumption areas for agricultural businesses and rural tourism.

• The Korean Journal of Ecology
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• v.11 no.3
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• pp.145-152
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• 1988

The potential natural vegetation of Naejangsan national park area, southwestern Korea, was inferred from the actual vegetation. With the phytosociological classification, ordinatins and field surveys, the actual vegetation map of the area was made in scale 1:25, 000, including ten communities of Pinus densiflora, quercus mongolica, Quercus variabilis, Carpinus laxiflora, Daphnipyllum macropodum, Carpinus tschonoskii, Quercus aliena-Carpinus tschonoskii, Cornus controversa-Lindera erythrocarpa, Torreya mucifera-Zelkova serrate and Acer mono-Zelkova serrata community. The analyses of species richness, age structure and various informations on vegetation changes suggest the three pathways of late stage succession from P. densiflora forest to climatic climax. The first of them is through Q. variabilis forest to Q. monogolica forest in the upper parts of the mountain, the second through Q. variabilis and Q. serrata forest to C. laxiflora forest in the middle parts and the third through Q. aliena forest to C. tschonoskii forest in lower parts. Considering the actual vegetation and informations on the vegetation changes including human activities, the potential natural vegetation of the mountain mainly composed of Q. monogolica, C. laxiflora, C. tschonoskii, P. densiflora and Z. serrata forest as climatic climax and/or edaphic climax was inferred. The present situration of nature conservation in the area was estimated by the examination on the actual vegetation and potential natural vegetation map.

• Journal of Korean Academy of Nursing
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• v.33 no.1
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• pp.95-103
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• 2003

Purpose: The purpose of this study was to identify the perceived importance of nursing intserventions of psychiatric nurses according to domains, classes and interventions using the 3th NIC. Method: In this study, a 435 of 486 nursing interventions were selected from 75% consent reached by experts. Data were collected from 9 hospitals and 141 nurses(return rates: 94,0%) in Seoul, Kyonggi, Chungnam, Gwang-ju and Chonnam region from January, 2002 to February, 2002 using 4 point Likert scale. Result: Total perceived importance score was $2.905{\pm}0.463$ and total correlation score with performance frequency was r=0.295. The most important perceived domain and class was found to be ‘safety’ ($3.217{\pm}0.465$) and ‘community health promotion’ ($3.285{\pm}0.866$). The most correlated domain and class with performance frequency appeared to be ‘behavioral’ (r=0.431, p=0.000) and ‘communication enhancement’ (r=0.439, p=0.000). The most important perceived nursing intervention was found to be ‘active listening’ ($3.652{\pm}0.549$). Conclusion: In conclusion, nurses in clinical settings were found to perform less than perceive its importance. Therefore, further researches are needed to identify factors related to impede and develop strategies to improve the performance of nursing interventions.

• Korean Journal of Environment and Ecology
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• v.20 no.2
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• pp.103-113
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• 2006

To investigate the forest structure and to suggest basic data for forest management in the Mookdong area of the Weolchulsan National Park, thirty plots, each size is $100m^2$, were set up and surveyed. According to analysis of classification by TWINSPAN, the community was divided by five groups of Quercus variabilis-Q. mogolica(I), Q. variabilis(II), Q. variabilis-Pinus densiflora(III), P. densiflora(IV), Q. acutissima(V). The structure of communities were investigated using importance value. From the above results, it was anticipated that Quercus spp. will be dominance species instead of Pinus densiflora.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 1998.11a
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• pp.34-36
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• 1998

In Korea, the initial installation of GIS requires lots of cost, time, and human efforts, If the accuracy of GIS data does not meet the certain standard for use, the system may not work as expected. So, it needs to be investigated for the accuracy of raw data. However, there is little study for the accuracy of raw data in Korea. Therefore, the purpose of this study is to review the data accuracy of raw data - geologic map, 1:5,000 and 1:25,000 scale topographic map, forest stand map, degree of green naturality(DGN) map, and detailed survey data of DGN map - for fulfilling the expected use in Korea. After this study, some errors in data were surveyed and following conclusions were derived. (1) There is a lack of data, e. g, wildlife habitat map. (2) Some data are misinterpreted depending on the location in the geologic map. (3) Some data are not updated after change of topography in the topographic map. (4) Some data are not edited properly in the forest stand map. (4) DGN classification system does not reflect the characteristic of Korean vegetation community. So, it needs to be refined and restructured.

• Korean Journal of Environment and Ecology
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• v.7 no.2
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• pp.172-180
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• 1994

The forest of Choksangsansong area was studied to investigate vegetational structure with twenty-five plots(20m$\times$25m). Relative importance values, DBH class distribution, species, diversity indices, DCA ordination and TWINSPAN classification were used for vegetational structure analysis. Quercus mongolica, Carpinus cordata, Quercus serrata and Cornus controversa were appeared to be dominant species in each plot and dominant species in the Choksangsansong area was Quercus mongolica. The forest of Choksangsansong area was classified into four groups and showed seral stage from Quercus mongolica to Carpinus cordata. Vegetational succession in the Choksangsansong area shall be accelerated to moist and shade tolerant species due to cool and humid climatic condition by upper dam construction of the Mujuyangspalchonso (pumping up power station).

• Journal of Information Processing Systems
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• v.1 no.1 s.1
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• pp.14-21
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• 2005

Even though mainly statistical methods have been used in anomaly network intrusion detection, to detect various attack types, machine learning based anomaly detection was introduced. Machine learning based anomaly detection started from research applying traditional learning algorithms of artificial intelligence to intrusion detection. However, detection rates of these methods are not satisfactory. Especially, high false positive and repeated alarms about the same attack are problems. The main reason for this is that one packet is used as a basic learning unit. Most attacks consist of more than one packet. In addition, an attack does not lead to a consecutive packet stream. Therefore, with grouping of related packets, a new approach of group-based learning and detection is needed. This type of approach is similar to that of multiple-instance problems in the artificial intelligence community, which cannot clearly classify one instance, but classification of a group is possible. We suggest group generation algorithm grouping related packets, and a learning algorithm based on a unit of such group. To verify the usefulness of the suggested algorithm, 1998 DARPA data was used and the results show that our approach is quite useful.

• Journal of Korean Society of Rural Planning
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• v.15 no.1
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• pp.1-13
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• 2009

This study tried to establish a renewal guideline for rural villages through the analysis on locational characteristics of amenity/disamenity elements. Space Syntax Method was applied to analyze the locational characteristics of amenity/disamenity elements in qualitative terms. The study was carried out by 5 steps: Selection of amenity/disamenity classification table and case study villages(used same ones as in the previous study) ${\rightarrow}$ Drawing of base-map for spatial analysis ${\rightarrow}$ Preparation of final study-map after field survey ${\rightarrow}$ Spatial analysis using the Space Syntax Method ${\rightarrow}$ Proposing of a rural village renewal guideline. Through the application study to the case study villages, it was ascertained that the renewal guideline proposed in this study would well help reflect spatial characteristics of amenity/disamenity elements in plan-making works of rural villages.