• Korean Journal of Plant Taxonomy
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• v.47 no.1
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• pp.51-93
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• 2017

Eastern coastal lagoons are a particular type of estuarine systems where seawater mixes with fresh water from their catchments. With the development of aquatic vegetation, this area shows high level of biodiversity. The purpose of this study is to produce a strategy for the comprehensive conservation of the vegetation of coastal lagoons through studies of the floristics and plant species compositions in 17 eastern coastal lagoons in Korea. Vascular plants were collected 109 times, from June of 2010 to November of 2014. The results showed that there were 720 taxa in total, including 118 families, 378 genera, 655 species, 13 subspecies, 46 varieties, and 6 hybrids. Korean endemic species numbered 11 taxa, and vascular plants listed in the red list according to the International Union for Conservation of Nature (IUCN) numbered 18 taxa. Indicator species of fourth (IV) and fifth (V) degree, as specified by floristic subregions, numbered 23 taxa. Among the species investigated in this survey, there were 4 taxa of plants of southern origin and 8 taxa of plants of northern originin the Korean peninsula. Several rare plants, Thermopsis lupinoides, Ligusticum hultenii, Mitrasacme alsinoides, Utricularia australis, Juncus fauriei, Carex vesicaria, and Puccinellia kurilensis, were distributed in eastern coastal lagoons. In all, 96 alien plants were recorded in the investigated area. The coastal lagoons on the eastern coast of Korea showed high plant diversity with many rare plants and phytogeographically important plants. Conservation strategies to ensure biodiversity and effective management of coastal lagoons are discussed in detail.

• Korean Association of Arts Management
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• no.51
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• pp.75-102
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• 2019

This study aims to figure out the progression of Hyundai motor's corporate cultural marketing by conducting semantic network analysis. Although the previous research has focused on conception, categorization, impact, and performance of cultural marketing, they hardly pay attention to changes in cultural marketing over time. To explore the identified gap, we collected 2,315 articles concerning Hyundai motor's cultural marketing on daily newspapers printed from 2001 to 2018. The 18-year time period was classified into four periods, and lists of words were extracted and analyzed by Korean language analysis program, Textom and social network analysis program, called 'UCINET'. The outcome of our analysis indicates that Hyundai Motor's cultural marketing has been developed from the strategy of merely increasing sales to the means of distinguishing their corporate and brand identity. In the early 2000s, the words 'customer', 'The Age of Great Paintings: Rembrandt and the 17th century Dutch paintings', and 'performances' were extracted with high frequency. It shows Hyundai Motor held performance-oriented events and provided benefits to specific consumer groups under the type of 'Cultural Promotion'. In addition, as the exhibition sponsored by Hyundai motor was reported in the media with high publicity effect, the concept of 'Cultural Support' is also emerged. In the late 2000s, the top exposures were 'Seoul Arts Center' and 'Seoul Metropolitan Symphony Orchestra'. Under the concept of 'Cultural Support', both organizations and cultural events were sponsored by Hyundai motor. Hyundai Motor has the tendency to cooperate with high profile parties who have already accomplished high publicities to attract social interests and issues. In the early 2010s, Hyundai Motor created cultural marketing brand and space ('Brilliant' and 'Hyundai Art Hall') that broadened the potential target groups, which represented both 'Cultural Support' and 'Cultural Enterprise'. In the middle and late of the 2010s, as shown by the high frequency of 'brand' and 'global', Hyundai Motor has focused on the global market and viewpoint has expanded to brand building focusing on the type of 'Cultural Enterprise'.

• Journal of the Korean Institute of Landscape Architecture
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• v.51 no.6
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• pp.75-87
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• 2023

This study presents an experimental design for demonstrating the role of nature-based solutions to climate change in the landscape and garden sector. The study suggests spatial strategies for a carbon-neutral society and its role as a cultural industry. This paper describes the use of a low-maintenance garden as part of a strategy for carbon reduction with the goal of protecting the environment and forming a carbon-neutral society. To this end, this study involved the design and construction of a realistic model garden to provide scientific data on the functions, spatial elements, and carbon neutrality of carbon-reducing gardens. The target site is located in the Sejong National Arboretum. The test area in which the carbon-reducing function is measured is located in the centre of the site, and other spaces include dry gardens, community gardens, and flower gardens intended for exhibition and relaxation. The experimental area is divided into several smaller areas within which the carbon-reducing effect is analysed according to the amount of biochar installed, the planting density, and the plant species present. The application of facilities and construction methods to promote carbon reduction were based on the method known as '10 types of carbon gardening for the earth'. In the model garden, we employed rainwater utilization facilities and used low-carbon certified wood and local materials. The carbon reduction effect of each facility and construction method is compared and presented here. The results are expected to serve as an important basis for realizing a carbon-neutral society and can be used as a reference in various fields that require sustainable development, such as the garden industry.

• Journal of Korean Society of Forest Science
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• v.98 no.4
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• pp.370-378
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• 2009

This study tries to provide the basic direction to form the arboretum with the distinct features by providing the basic data to help the differentiated strategy for each arboretum. For this purpose, the users' pattern, importance of the indicator by the function, and the stimulation and specialization importance were examined for Daegu Arboretum, Gyeongbuk Arboretum and Gyeongnam Arboretum in Gyeongsang Province. The result says, looking into the functions of arboretum, the collection function showed the highest importance in the preservation of the endangered crisis species; the display function showed the highest in the use as the nature experiencing spaces through the plant exhibition; the research function showed the highest in the study on Plant Systematics; the education function showed the highest in the protection of the native plants; and the recreational function showed the highest in the healthy recreational space. In the plan for the promotion of the arboretum showed the highest in the public education program operation such as the narration from arboretum and education for plant. Therefore, it is considered to need the system setup such as the education program, material development and specialist training in terms of the arboretum. For the specialization plan for arboretum in this study, it seem desirable to concentrate on the research and education related to the natural resources renewal, for Daegu Arboretum; to concentrate on the resort site for the protection and display of the species and the disabled visitors by utilizing the geographical traits in the mountains, for Gyeongbuk Arboretum; to create the specialization plan mainly for the tree species suitable for the warm weather and for the children.

• Korean Journal of Plant Taxonomy
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• v.51 no.3
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• pp.250-293
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• 2021

Limestone areas are sedimentary rock outcrops consisting of calcium carbonate created several hundreds of millions of years ago by calcium-secreting marine organisms and subsequently lifted above sea level by tectonic movement. Limestone areas support very high levels of endemic species of plants and are recognized as biodiversity areas with much biological information. The purpose of this study is to devise a strategy for the comprehensive conservation of the vegetation of limestone areas through analyses of the floristics and plant species compositions in ten limestone areas on the Korean Peninsula. The results of 153 field surveys from April of 2010 to October of 2016 identified 1,202 taxa in total, representing 1,096 species, 18 subspecies, 84 varieties, 2 forms, and 2 hybrids in 530 genera and 133 families. Among them, 55 taxa were endemic plants to Korea, and 38 taxa were red data plants. The floristic target plants amounted to 102 taxa, specifically 27 taxa of grade V and 75 taxa of grade IV. In all, 121 alien plants were recorded in the investigated area. Calciphilous plants amounted to 102 taxa, specifically 14 taxa of calciphilous indicator plants, 30 taxa of superlative most calciphilous plants, and 58 taxa of comparative more calciphilous plants. A cluster analysis showed a high degree of similarity between sites that are geographically adjacent with similar habitat environments. Limestone areas also supported groups distinct from those in non-limestone areas, demonstrating the specificity of limestone flora. Plant geography approaches therefore appear to be crucial to gain a better understanding of the level of biodiversity in limestone areas, not only at the interspecific but also at the intraspecific level. These results highlight the importance of protecting limestone habitats to preserve not only their interspecific but also the intraspecific diversity, which is highly threatened.

• Journal of Intelligence and Information Systems
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• v.19 no.2
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• pp.73-85
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• 2013

Nowadays, in today's information society, the importance of the knowledge service using the information to creative value is getting higher day by day. In addition, depending on the development of IT technology, it is ease to collect and use information. Also, many companies actively use customer information to marketing in a variety of industries. Into the 21st century, companies have been actively using the culture arts to manage corporate image and marketing closely linked to their commercial interests. But, it is difficult that companies attract or maintain consumer's interest through their technology. For that reason, it is trend to perform cultural activities for tool of differentiation over many firms. Many firms used the customer's experience to new marketing strategy in order to effectively respond to competitive market. Accordingly, it is emerging rapidly that the necessity of personalized service to provide a new experience for people based on the personal profile information that contains the characteristics of the individual. Like this, personalized service using customer's individual profile information such as language, symbols, behavior, and emotions is very important today. Through this, we will be able to judge interaction between people and content and to maximize customer's experience and satisfaction. There are various relative works provide customer-centered service. Specially, emotion recognition research is emerging recently. Existing researches experienced emotion recognition using mostly bio-signal. Most of researches are voice and face studies that have great emotional changes. However, there are several difficulties to predict people's emotion caused by limitation of equipment and service environments. So, in this paper, we develop emotion prediction model based on vision-based interface to overcome existing limitations. Emotion recognition research based on people's gesture and posture has been processed by several researchers. This paper developed a model that recognizes people's emotional states through body gesture and posture using difference image method. And we found optimization validation model for four kinds of emotions' prediction. A proposed model purposed to automatically determine and predict 4 human emotions (Sadness, Surprise, Joy, and Disgust). To build up the model, event booth was installed in the KOCCA's lobby and we provided some proper stimulative movie to collect their body gesture and posture as the change of emotions. And then, we extracted body movements using difference image method. And we revised people data to build proposed model through neural network. The proposed model for emotion prediction used 3 type time-frame sets (20 frames, 30 frames, and 40 frames). And then, we adopted the model which has best performance compared with other models.' Before build three kinds of models, the entire 97 data set were divided into three data sets of learning, test, and validation set. The proposed model for emotion prediction was constructed using artificial neural network. In this paper, we used the back-propagation algorithm as a learning method, and set learning rate to 10%, momentum rate to 10%. The sigmoid function was used as the transform function. And we designed a three-layer perceptron neural network with one hidden layer and four output nodes. Based on the test data set, the learning for this research model was stopped when it reaches 50000 after reaching the minimum error in order to explore the point of learning. We finally processed each model's accuracy and found best model to predict each emotions. The result showed prediction accuracy 100% from sadness, and 96% from joy prediction in 20 frames set model. And 88% from surprise, and 98% from disgust in 30 frames set model. The findings of our research are expected to be useful to provide effective algorithm for personalized service in various industries such as advertisement, exhibition, performance, etc.