• Journal of the Korean Geographical Society
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• v.39 no.5 s.104
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• pp.735-754
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• 2004

This paper provides an overview of political ecology, a body of theory that focuses on the links between political and economic inequality on the one hand, and environmental degradation on the other. Adopting a tripartite classification scheme that identifies three political ecology traditions -'classical', 'democratic' and 'poststructuralist'- the discussion shows the need for a move within the poststructuralist tradition away from a narrow and quasi-idealistic focus on discourse to a more robust philosophical engagement with ontological and epistemological issues grounded in Gilles Deleuze's development of Nietzschean materialism. From there. the author draws on numerous examples from Canada, and surveys the available literature on 'bioregionalism', a relatively new intellectual tradition evolved from the North American environmental social movements of the 1970s and 1980s. The so-called 'bioregional approach' stresses that administrative units need to reflect (rather than transect) eco-geographical and cultural features. Bioregionalism is described and assessed as a potential pragmatic research framework for geographers and other planners wishing to respond proactively to the call for a revamped, poststructuralist political ecology. The paper concludes that a bioregional approach to political ecology avoids the weaknesses identified by certain critics, provides scope for consideration of fundamental philosophical ideas, and as such, represents a practical development of a poststructuralist political ecology.

• Pediatric Gastroenterology, Hepatology & Nutrition
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• v.7 no.1
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• pp.40-47
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• 2004

Purpose: A new classification of gastrointestinal food allergy was published, but the changes of terminology between previously reported terms and the new ones were in a state of disorder. This has resulted in confusion between medical communication and diagnostic and therapeutic approaches. The clinical observations of infants presenting with gastrointestinal cow milk allergy (GI-CMA) were performed, and the changes in the terminology reviewed through the published Korean literature. Methods: Between March 2003 and July 2003, data from 37 consecutive infants with GI-CMA, aged 2 weeks to 15 months, were reviewed. The challenge and elimination test of cow milk, and the endoscopic and histologic findings, were used for the seven subdivisions of GI-CMA according to a new classification on the basis of patients' ages, clinical manifestations and location of gastrointestinal lesions. Results: The 37 patients had a mean age of $5.4{\pm}4.8$ months, with those observed in 26 (70.3%) of patients being below 6 months of age. The seven final diagnoses were; cow milk protein-induced enterocolitis (CMPIE) in 12 (32.4%), cow milk protein proctitis (PROC) in 12 (32.4%), IgE-mediated (IGE) in 6 (16.2%), gastroesophageal reflux-associated cow milk allergy (GERA) in 5 (13.5%) and eosinophilic gastroenterocolitis in 2 (5.4%). CMPIE was revealed as the typical type in 7 (18.9%) and the atypical type in 5 (13.5%), and all of typical CMPIE revealed cow milk protein-induced enteropathy. The mean age at symptom onset was $4.3{\pm}0.8$ months, and for those with typical and atypical CMPIE, and PROC and GERA were $3.8{\pm}4.6$, $10.4{\pm}3.8$, $3.4{\pm}3.9$ and $7.8{\pm}5.7$ months, respectively (p<0.05). The period from onset of symptom to diagnosis was $2.4{\pm}3.3$ (0.5~12) months, with those observed in atypical CMPIE and GERA being over 3months. Although the birth weights in all patients were within the 10~90 percentile range, the body weights on diagnoses were below the 3 percentile in 48.6%; IGE 16.7%, EOS 0%, typical CMPIE 85.7%, atypical CMPIE 60.0%, PROC 25.0% and GERA 100% (p<0.05). Through the review of the Korean literature, 8 case reports and 14 original articles for GI-CMA were found. Conclusion: GI-CMA is not a rare clinical disorder and is subdivided into seven categories on the basis of the patient's age, clinical manifestations and location of the gastrointestinal lesions. The terms for GI-CMA are changing with new classifications, and careful approaches are necessary for medical communications.

• Korean Journal of Soil Science and Fertilizer
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• v.43 no.5
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• pp.705-715
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• 2010

The adoption of carbon foot print system is being activated mostly in the developed countries as one of the long-term response towards tightened up regulations and standards on carbon emission in the agricultural sector. The Korean Ministry of Environment excluded the primary agricultural products from the carbon foot print system due to lack of LCI (life cycle inventory) database in agriculture. Therefore, the research on and establishment of LCI database in the agriculture for adoption of carbon foot print system is urgent. Development of LCA (life cycle assessment) methodology for application of LCA to agricultural environment in Korea is also very important. Application of LCA methodology to agricultural environment in Korea is an early stage. Therefore, this study was carried out to find out the effect of lettuce cultivation on agricultural environment by establishing LCA methodology. Data collection of agricultural input and output for establishing LCI was carried out by collecting statistical data and documents on income from agro and livestock products prepared by RDA. LCA methodology for agriculture was reviewed by investigating LCA methodology and LCA applications of foreign countries. Results based on 1 kg of lettuce production showed that inputs including N, P, organic fertilizers, compound fertilizers and crop protectants were the main sources of major emission factor during lettuce cropping process. The amount of inputs considering the amount of active ingredients was required to estimate the actual quantity of the inputs used. Major emissions due to agricultural activities were $N_2O$ (emission to air) and ${NO_3}^-$/${PO_4}^-$ (emission to water) from fertilizers, organic compounds from pesticides and air pollutants from fossil fuel combustion in using agricultural machines. The softwares for LCIA (life cycle impact assessment) and LCA used in Korea are 'PASS' and 'TOTAL' which have been developed by the Ministry of Knowledge Economy and the Ministry of Environment. However, the models used for the softwares are the ones developed in foreign countries. In the future, development of models and optimization of factors for characterization, normalization and weighting suitable to Korean agricultural environment need to be done for more precise LCA analysis in the agricultural area.

• The Korean Journal of Archival Studies
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• no.70
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• pp.85-117
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• 2021

The purpose of this study is to investigate and analyze the current status of unit tasks, unit task operation, and record management problems used by local governments, and to present improvement measures using text-based big data technology based on the implications derived from the process. Local governments are in a serious state of record management operation due to errors in preservation period due to misclassification of unit tasks, inability to identify types of overcommon and institutional affairs, errors in unit tasks, errors in name, referenceable standards, and tools. However, the number of unit tasks is about 720,000, which cannot be effectively controlled due to excessive quantities, and thus strict and controllable tools and standards are needed. In order to solve these problems, this study developed a system that applies text-based analysis tools such as corpus and tokenization technology during big data analysis, and applied them to the names and construction terms constituting the record management standard. These unit task operation support tools are expected to contribute significantly to record management tasks as they can support standard operability such as uniform preservation period, identification of delegated office records, control of duplicate and similar unit task creation, and common tasks. Therefore, if the big data analysis methodology can be linked to BRM and RMS in the future, it is expected that the quality of the record management standard work will increase.

• Korean Journal of Remote Sensing
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• v.38 no.5_3
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• pp.873-885
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• 2022

The particulate matter (PM) has emerged as a hot topic around the world as it has been reported that PM is related to an increase in mortality and prevalence rates. In South Korea, the importance of PM has been recognized since the late 1990s, and various studies on PM have been conducted. This study investigated the PM research topics and trends for papers (D=2,764) published in Research Information Sharing Service (RISS) using topic modeling based on Latent Dirichlet Allocation (LDA). As a result, a total of 10 topics were identified in the whole papers, and the PM research topics were classified as 'PM reduction (Topic 1)', 'Government policy and management (Topic 2)', 'Characteristics of PM (Topic 3)', 'PM model (Topic 4)', 'Environmental education (Topic 5)', 'Bio (Topic 6)', 'Traffic (Topic 7)', 'Asian dust (Topic 8)', 'Indoor PM (Topic 9)', 'Human risk (Topic 10)'. In particular, the proportion of papers on topics 'Government policy and management (Topic 2)', 'PM model (Topic 4)', 'Environmental education (Topic 5)', and 'Bio (Topic 6)' to the toal number of papers increased over time (linear slope > 0). The results of this study provide the new literature review methodology related to particulate matter and the history and insight.

• Journal of Sasang Constitutional Medicine
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• v.11 no.2
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• pp.95-117
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• 1999

1. Purpose of study There are many Constitution theories. But, In the Sasang Constitutional medicine, the theory and the practice are connected systematically. So it has been used in Korea popularly. Lee Je-Ma suggested that the external form, the mind, the symptom are the criteria of Sasang constitution diagnosis at the Discourse on the Four Principle and the Discourse on the Identifying Four Constitutions. But The clinical importance study of three diagnostic criteria - the external form, the mind, the symptom - has never been studied. Therefore, there are many obstacles of using the three diagnostic criteria totally. And I think that it needs a study which we apply the three diagnostic criteria to practice and approve the clinical importance of one another. I classify and investigate the previous methods of Sasang constitution diagnosis by the three diagnostic criteria in this study. 2. Method of study I investigate the previous methods of Sasang constitution diagnosis bibliographically by Dongyi Soose Bowon, Journal of Constitutional medicine and other books. 3. Result of study (1) Study of the external form The Study of Ki-sang(氣像) and Sa-ki(詞氣) by experience and intuition was done previously, and study of imaginay formulation of each constitution by measuring Chae-hyung(體形) and yong-mo(容貌) has being done recently. (2) Study of the mind For the objectification of study and diagnosis, self-reporting questionnaire has been used. The ideal choice to determine an indivisual constitution, as far as questionnaire go, is to take results from both the modified version Sasang Pattern Identification Questionnaire and QSCCII. (3) Study of the symptom For the study of the symptom - constitution symptom and constitution symptom of disease - the study of principles, the clinical study of the type of disease and symptom, the study which the pathologic view of Oriental medicine apply the view of Sasang Constitutional medicine have been done. We must try to objectfy Sasang Constitutional disease.

• The Journal of the Korea Contents Association
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• v.12 no.10
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• pp.1-10
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• 2012

Many statistical methods have been adapted for terminology recognition to improve its accuracy. However, since previous studies have been carried out in a single core or a single machine, they have difficulties in real-time analysing explosively increasing documents. In this study, the task where bottlenecks occur in the process of terminology recognition is classified into linguistic processing in the process of 'candidate terminology extraction' and collection of statistical information in the process of 'terminology weight assignment'. A terminology recognition system is implemented and experimented to address each task by means of the distributed parallel processing-based MapReduce. The experiments were performed in two ways; the first experiment result revealed that distributed parallel processing by means of 12 nodes improves processing speed by 11.27 times as compared to the case of using a single machine and the second experiment was carried out on 1) default environment, 2) multiple reducers, 3) combiner, and 4) the combination of 2)and 3), and the use of 3) showed the best performance. Our terminology recognition system contributes to speed up knowledge extraction of large scale science and technology documents.

• Journal of the Korea Institute of Building Construction
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• v.22 no.3
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• pp.281-291
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• 2022

This study attempts to use big data to determine the indicators necessary for a fire risk assessment of buildings. Because most of the causes affecting the fire risk of buildings are fixed as indicators considering only the building itself, previously only limited and subjective assessment has been performed. Therefore, if various internal and external indicators can be considered using big data, effective measures can be taken to reduce the fire risk of buildings. To collect the data necessary to determine indicators, a query language was first selected, and professional literature was collected in the form of unstructured data using a web crawling technique. To collect the words in the literature, pre-processing was performed such as user dictionary registration, duplicate literature, and stopwords. Then, through a review of previous research, words were classified into four components, and representative keywords related to risk were selected from each component. Risk-related indicators were collected through analysis of related words of representative keywords. By examining the indicators according to their selection criteria, 20 indicators could be determined. This research methodology indicates the applicability of big data analysis for establishing measures to reduce fire risk in buildings, and the determined risk indicators can be used as reference materials for assessment.

• The Journal of the Korea Contents Association
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• v.17 no.8
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• pp.644-653
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• 2017

This study aimed to analyze the influence relations by applying Q methodology to five-star hotel restaurants' culinary staffs through the research on the subjectivity of five-star hotels' restaurant menu promotion on culinary staffs' job satisfaction and work devotion. This paper largely suggested two research questions like following. Research Question 1: How is the acceptance type of culinary staffs' job satisfaction and work devotion regarding five-star hotels' restaurant promotion? Research Question2: What are the homogeneous characteristics and the implications shown in the acceptance type of culinary staffs' job satisfaction and work devotion regarding five-star hotels' restaurant promotion? In the results of typological analysis based on such research questions, total three types were drawn. In detail, the type1(N=13)(Active personal development type), the type2(N=10)(Normal menu pursuit type), and type3(N=2(Enterprise development pursuit type) showed distinctive characteristics to each other. Researching five-star hotels' culinary staffs' subjective cases, this study could not comparatively analyze diverse cases. Also, in the future, the follow-up research aims to gradually conduct more diversified and objective analysis by developing more detailed questions and analysis method of Q methodology.

• Knowledge Management Research
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• v.24 no.2
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• pp.137-159
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• 2023

This study focuses on consumers' perceptions of virtual influencers, which many companies recently used for marketing. This study uses the Q methodology to derive what kind of perception consumers have about virtual influencers who work with various appearances, background stories, and worldviews as components. In addition, we want to see how the expected value of virtual influencers differs by age group. To this end, 34 statements were produced through preliminary interviews and literature reviews. This study showed that some consumers preferred appearances similar to humans, despite recognizing that virtual influencers are fictional characters. Some other consumers preferred to feel like a fictional character by maintaining virtuality, confirming that there are both opposite consumers. In addition, consumers expect virtual influencers to have consistency and expertise in the content field covered, and some consumers do not prefer to show an overly commercial appearance. This study will likely provide implications for companies that want to utilize virtual influencers in considering which ones to use for target customers in marketing activities.