• Korean Journal of Environment and Ecology
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• v.37 no.5
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• pp.318-326
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• 2023

The floristic target species (FTS) has been widely used as a important tool for environmental assessment in Korea. Here the floristic district is a key criterion for the selection and evaluation of FTS. The aim of this study is to clarify the intellectual meaning of the floristic district i.e. a sort of phytogeographical subunit. We reviewed 7 main literatures related to the floristic district. Nakai's 1919 Ulleungdo flora survey report was first to mention a region and/or province in terms of general geographical divisions. In 1977, the floristic district map of the Korea vascular plants was first described by Oh. In 1978, Lee & Yim proposed a new floristic district map dividing the central and southern regions, and the district boundaries have been adjusted by many other researchers. In the end, the floristic district map modified slightly from Lee & Yim's map was nationally recognized in 2018. However, the boundaries of floristic districts were inconsistent, both in their setting and adjustment, as well as the indicator species of the district. No basis for this inconsistency could be confirmed. We concluded that all district maps depend on arbitrary lines drawn a priori, and finally proposed the following two ecological strategies to ensure the effectiveness and practicality of the FTS as a scientific means for environmental impact assessment and national flora evaluation: (i) designing to achieve the flora list and the floristic district based on nativeness of plant distribution, (ii) constructing a habitat-based floral monitoring system.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.27 no.2
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• pp.17-28
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• 2024

In order to achieve the management goals (30by30) mandated by the Kunming-Montreal Global Biodiversity Framework, this study established the site-level assessment criteria for OECMs, tailored to domestic circumstances using the Delphi analysis. Subsequently, a site-level assessment was conducted on the National Gariwangsan Natural Recreation Forest. As a result of the study, the initial step involved presenting criteria for the site-level assessment of OECMs, with 'consent for the assessment and recognition of OECM by competent and management authority' proposed as a prerequisite. Subsequently, seven evaluation criteria were established, including 'other than a legally protected area', 'spatially separated area with defined boundaries', 'effective in-situ conservation of biodiversity', 'sustainable management based on the competent and management authority', 'long-term sustainability of conservation outcomes', and 'provision of ecosystem services'. The results of applying site-level assessment criteria to the National Gariwangsan Natural Recreation Forest indicate that six criteria were met, while one criterion (sustainable management based on the competent and management authority) requires further improvement. Specifically, the key competent and management authorities for the National Gariwangsan Natural Recreation Forest are the Korea Forest Service and the National Natural Recreation Forest Management Office, with competent and management organizations established. However, the management focus is primarily on providing forest recreation services centered on users and facilities, making it difficult to confirm the long-term biodiversity conservation plans and implementation by the competent and management authorities. Therefore, it is deemed necessary to improve the long-term biodiversity conservation plans and implementation for the recognition of the National Gariwangsan Natural Recreation Forest as an OECM.

• Clinical and Experimental Pediatrics
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• v.52 no.8
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• pp.869-874
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• 2009

Purpose : Short attacks of headache are present in the pediatric age group. Short-lasting headaches (SLH) have been infrequently reported in children and adolescents. This study aims to assess the prevalence, clinical characteristics, treatment, and prognosis of short-lasting headaches in children and adolescents. Methods : One hundred twenty-three consecutive patients attended the Chosun University Hospital Headache Center between March 2006 and July 2007. Among 123 headache patients, 44 patients with one key criterion, namely, recurrent headaches episodes of a few seconds to less than 30 minutes, were selected. Results : Of the 123 headache patients, 44 (35.8%, males 18, females 26) had SLH. The mean age was 9.24 years (range 2.3-14.2). The mean headache frequency was $11.50{\pm}10.30$ per month, mean severity was $4.86{\pm}1.36$ out of 10, and the mean PedMIDAS score was $7.97{\pm}17.51$. SLH was significantly more common in children <6 years old (10/22, 45.5%) than in ${\geq}6$ years old (34/101, 33.7%) (P=0.015). The nature of pain was pressure in 30.2%, stabbing in 27.9%, throbbing in 18.6%, and dull in 11.7%. In 52.4% patients, the pain occurred in the front, one side of the temple in 28.5%, both sides of the temple in 7.1%, and back in 4.8% patients. The duration of attacks was <6 minutes in 38% and ${\geq}6$ minutes in 61.4%. The intensity of the pain was 4-6 out of 10 in 75.0%, in 13.6% 1-3, and in 11.4% 7-10. Treatment was significantly effective in reducing the frequency, duration, and severity of headaches and the PedMIDAS score after 3 months (P<0.05). Conclusion : Short attacks of headache are common (35.8%) in children and adolescents. These are difficult to classify according to International Headache Society criteria. The outcome, after a period of 3 months to 2 years, was favorable in most patients. Further studies are needed to gather more data and to obtain a better description of these forms of headache in the pediatric group.

• Journal of Intelligence and Information Systems
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• v.16 no.3
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• pp.147-161
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• 2010

As broadcasting and communication are converged recently, communication is jointed to TV. TV viewing has brought about many changes. The IPTV (Internet Protocol Television) provides information service, movie contents, broadcast, etc. through internet with live programs + VOD (Video on demand) jointed. Using communication network, it becomes an issue of new business. In addition, new technical issues have been created by imaging technology for the service, networking technology without video cuts, security technologies to protect copyright, etc. Through this IPTV network, users can watch their desired programs when they want. However, IPTV has difficulties in search approach, menu approach, or finding programs. Menu approach spends a lot of time in approaching programs desired. Search approach can't be found when title, genre, name of actors, etc. are not known. In addition, inserting letters through remote control have problems. However, the bigger problem is that many times users are not usually ware of the services they use. Thus, to resolve difficulties when selecting VOD service in IPTV, a personalized service is recommended, which enhance users' satisfaction and use your time, efficiently. This paper provides appropriate programs which are fit to individuals not to save time in order to solve IPTV's shortcomings through filtering and recommendation-related system. The proposed recommendation system collects TV program information, the user's preferred program genres and detailed genre, channel, watching program, and information on viewing time based on individual records of watching IPTV. To look for these kinds of similarities, similarities can be compared by using ontology for TV programs. The reason to use these is because the distance of program can be measured by the similarity comparison. TV program ontology we are using is one extracted from TV-Anytime metadata which represents semantic nature. Also, ontology expresses the contents and features in figures. Through world net, vocabulary similarity is determined. All the words described on the programs are expanded into upper and lower classes for word similarity decision. The average of described key words was measured. The criterion of distance calculated ties similar programs through K-medoids dividing method. K-medoids dividing method is a dividing way to divide classified groups into ones with similar characteristics. This K-medoids method sets K-unit representative objects. Here, distance from representative object sets temporary distance and colonize it. Through algorithm, when the initial n-unit objects are tried to be divided into K-units. The optimal object must be found through repeated trials after selecting representative object temporarily. Through this course, similar programs must be colonized. Selecting programs through group analysis, weight should be given to the recommendation. The way to provide weight with recommendation is as the follows. When each group recommends programs, similar programs near representative objects will be recommended to users. The formula to calculate the distance is same as measure similar distance. It will be a basic figure which determines the rankings of recommended programs. Weight is used to calculate the number of watching lists. As the more programs are, the higher weight will be loaded. This is defined as cluster weight. Through this, sub-TV programs which are representative of the groups must be selected. The final TV programs ranks must be determined. However, the group-representative TV programs include errors. Therefore, weights must be added to TV program viewing preference. They must determine the finalranks.Based on this, our customers prefer proposed to recommend contents. So, based on the proposed method this paper suggested, experiment was carried out in controlled environment. Through experiment, the superiority of the proposed method is shown, compared to existing ways.

• Asia Marketing Journal
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• v.14 no.2
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• pp.157-176
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• 2012

Brand switching data frequently used in market structure analysis is adequate to analyze non- durable goods, because it can capture competition between specific two brands. But brand switching data sometimes can not be used to analyze goods like automobiles having long term duration because one of main assumptions that consumer preference toward brand attributes is not changed against time can be violated. Therefore a new type of data which can precisely capture competition among durable goods is needed. Another problem of using brand switching data collected from actual purchase behavior is short of explanation why consumers consider different set of brands. Considering above problems, main purpose of this study is to analyze market structure for durable goods with consideration set. The author uses exploratory approach and latent class clustering to identify market structure based on heterogeneous consideration set among consumers. Then the relationship between some factors and consideration set formation is analyzed. Some benefits and two demographic variables - age and income - are selected as factors based on consumer behavior theory. The author analyzed USA automotive market with top 11 brands using exploratory approach and latent class clustering. 2,500 respondents are randomly selected from the total sample and used for analysis. Six models concerning market structure are established to test. Model 1 means non-structured market and model 6 means market structure composed of six sub-markets. It is exploratory approach because any hypothetical market structure is not defined. The result showed that model 1 is insufficient to fit data. It implies that USA automotive market is a structured market. Model 3 with three market structures is significant and identified as the optimal market structure in USA automotive market. Three sub markets are named as USA brands, Asian Brands, and European Brands. And it implies that country of origin effect may exist in USA automotive market. Comparison between modal classification by derived market structures and probabilistic classification by research model was conducted to test how model 3 can correctly classify respondents. The model classify 97% of respondents exactly. The result of this study is different from those of previous research. Previous research used confirmatory approach. Car type and price were chosen as criteria for market structuring and car type-price structure was revealed as the optimal structure for USA automotive market. But this research used exploratory approach without hypothetical market structures. It is not concluded yet which approach is superior. For confirmatory approach, hypothetical market structures should be established exhaustively, because the optimal market structure is selected among hypothetical structures. On the other hand, exploratory approach has a potential problem that validity for derived optimal market structure is somewhat difficult to verify. There also exist market boundary difference between this research and previous research. While previous research analyzed seven car brands, this research analyzed eleven car brands. Both researches seemed to represent entire car market, because cumulative market shares for analyzed brands exceeds 50%. But market boundary difference might affect the different results. Though both researches showed different results, it is obvious that country of origin effect among brands should be considered as important criteria to analyze USA automotive market structure. This research tried to explain heterogeneity of consideration sets among consumers using benefits and two demographic factors, sex and income. Benefit works as a key variable for consumer decision process, and also works as an important criterion in market segmentation. Three factors - trust/safety, image/fun to drive, and economy - are identified among nine benefit related measure. Then the relationship between market structures and independent variables is analyzed using multinomial regression. Independent variables are three benefit factors and two demographic factors. The result showed that all independent variables can be used to explain why there exist different market structures in USA automotive market. For example, a male consumer who perceives all benefits important and has lower income tends to consider domestic brands more than European brands. And the result also showed benefits, sex, and income have an effect to consideration set formation. Though it is generally perceived that a consumer who has higher income is likely to purchase a high priced car, it is notable that American consumers perceived benefits of domestic brands much positive regardless of income. Male consumers especially showed higher loyalty for domestic brands. Managerial implications of this research are as follow. Though implication may be confined to the USA automotive market, the effect of sex on automotive buying behavior should be analyzed. The automotive market is traditionally conceived as male consumers oriented market. But the proportion of female consumers has grown over the years in the automotive market. It is natural outcome that Volvo and Hyundai motors recently developed new cars which are targeted for women market. Secondly, the model used in this research can be applied easier than that of previous researches. Exploratory approach has many advantages except difficulty to apply for practice, because it tends to accompany with complicated model and to require various types of data. The data needed for the model in this research are a few items such as purchased brands, consideration set, some benefits, and some demographic factors and easy to collect from consumers.