• The Korean Journal of Zoology
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• v.35 no.3
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• pp.332-338
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• 1992

Samples of ho subspecies of striped field mice, Apodemus agrarius coreue & Apodemus ograrius cheiuensis, from four localities in Korea were used for the analyses of mitochondrial DNA fragment patterns resulted from the digestion with eight restriction enzvmes. A total of 31 fragments were recognized and 15 clones were revealed. The 15 clones were grouped into four major subgroups. One sample from Cheongiu was distinct, and formed one of the four major subgroups: the mean divergence wi6 other subgroups was 4.6 per cent, and extensive analyses using samples from various sites are necessary to clarify the taxonomic status of the subgroup. Samples from Cheju island constituted another subgroup, and they should be named as hpodemus cheiuensis. Samples from Wan island composed still another subgroup, and thew seemed to be another population of Apodemus chejuensis: further analvses are needed for the classification of Apodemus cheiuensis. In the last subgroup composed of six of seven samples from Cheongiu and four samples from Haenam, two samples from Cheonsiu and one sample from Haenam were identical in their mitochondrial genotypes, indicating that these striped field mice from Cheongiu and Haenam have close maternal relationship.

• The Journal of Korean Medicine Ophthalmology and Otolaryngology and Dermatology
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• v.27 no.4
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• pp.16-44
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• 2014

Objective : To search the trend of studying thread-embedding therapy in Korean medicine academia up to now and to expand the range of using thread-embedding therapy in the future, this study was designed. Methods : Using search portal sites the following; http://oasis.kiom.re.kr, http://www.riss.re.kr, collected 37 articles and devided those three parts and classificated those into four subsection as follows; total analysis, original article, case report. Results : The number of articles are 8 review articles, 14 original articles, 15 case reports. In the year 2013, 14 articles were published and ranked highest(37.8%). The journal of acupuncture & moxibustion medicine society ranked highest(40.5%). 5 persons ranked highest(32.4%) in number of author. Facial beauty care ranked highest(21.6%) in clssification of disease. Remedy item ranked highest(50.0%) in classification of subjects of 8 review articles. No more than 25 persons ranked highest(66.7%) and 6~12months of treatment period ranked highest(33.3%) in 14 original articles. Conclusions : Thread-embedding therapy is considered very useful on various part of Korean medicine clinic. We need to expand application scope of thread-embedding therapy in the future.

• Animal Systematics, Evolution and Diversity
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• no.nspc2
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• pp.67-85
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• 1988

The hypotrichous ciliates (Protozoa , Ciliophora, Hypotrichida) inhabiting the Han River in Seoul were systematically investigated. Several Collections were made from 6 November 1986 to 8 November 1987 at 9 sites located in the Han River. Collected protozoans were cultured and characterized cyto-morphologically under the living and/or stained conditions, As a result, 7 species of hypotrichs in 4 families were identified of which 3 species are newly recorded from Korea ; Paraurostyla weissei (Stein, 1859_, Aspidisca cicada(O.F. Mller, 1786) and Euplotes patella (O.f.Mller, 1773). The identified species were redescribed with illustrations and photographs. The morphological similarities among them were numerically analyzed by UPGMA method, and its result of clustering concurs in general with the orthodox classification scheme.

• The Korean Journal of Emergency Medical Services
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• v.25 no.3
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• pp.63-70
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• 2021

Purpose: The study aimed to collect data from patients who were rejected by emergency requests for transfer to a tertiary hospital through 119 EMT and to analyze the data in the hospital to improve the plan. Methods: We analyzed 4,702 cases of emergency requests made by patients who were rejected by 119 emergency assistance out of the 22,568 patients who visited the emergency medical center in the C area of G metropolitan city from January 2018 through December 2020. The collected data were analyzed using IBM SPSS Statistics Version XX (IBM Corp., Armonk, N.Y., USA). Results: The major medical department with the largest number of such cases was the department of emergency medicine, with 2,519 cases (53.6%). Simple bruises were the most common diagnosis, with 2,819 cases (61.2%). KTAS classification was the highest with 3,562 patients (75.8%) in grade 4. As for the results, 4,084 patients (86.9%) were discharged from the hospital. Conclusion: Most of the patients who were rejected by emergency requests were non-emergency patients and were discharged from the hospital. emergency requests must be rejected at public relations and sites. In addition, the law should be amended to specifically present the reasons for refusal of emergency requests.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.05a
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• pp.89-93
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• 2014

Reviews are very important for potential consumer' making choices. They are also used by manufacturers to find problems of their products and to collect competitors' business information. But someone write fake reviews to mislead readers to make wrong choices. Therefore detecting fake reviews is an important problem for the E-commerce sites. Support Vector Machines (SVMs) are very important text classification algorithms with excellent performance. In this paper, we propose a new incremental algorithm based on weight and the extension of Karush-Kuhn-Tucker(KKT) conditions and Convex Hull for online Review Spam Detection. Finally, we analyze its performance in theory.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.1
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• pp.51-73
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• 2023

Social media play a significant role in communicating information across the globe, connecting with loved ones, getting the news, communicating ideas, etc. However, a group of people uses social media to spread fake information, which has a bad impact on society. Therefore, minimizing fake news and its detection are the two primary challenges that need to be addressed. This paper presents a multi-modal deep learning technique to address the above challenges. The proposed modal can use and process visual and textual features. Therefore, it has the ability to detect fake information from visual and textual data. We used EfficientNetB0 and a sentence transformer, respectively, for detecting counterfeit images and for textural learning. Feature embedding is performed at individual channels, whilst fusion is done at the last classification layer. The late fusion is applied intentionally to mitigate the noisy data that are generated by multi-modalities. Extensive experiments are conducted, and performance is evaluated against state-of-the-art methods. Three real-world benchmark datasets, such as MediaEval (Twitter), Weibo, and Fakeddit, are used for experimentation. Result reveals that the proposed modal outperformed the state-of-the-art methods and achieved an accuracy of 86.48%, 82.50%, and 88.80%, respectively, for MediaEval (Twitter), Weibo, and Fakeddit datasets.

• New & Renewable Energy
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• v.20 no.1
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• pp.116-125
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• 2024

Ultra-low-head is an unexplored classification among the sites in which hydroelectric power can be produced. This is typically owing to the low power output and the economic value of the turbines available in this segment. A turbine capable of operating in an ultra-low-head condition without the need of a dam to produce electricity is developed in this study. A gate structure installed at a shallow water channel acting as a weir generates artificial head for the turbine mounted on the gate to produce power. The turbine and generator are designed to be compact and submersible for an efficient and silent operation. The gate angle is adjustable to operate the turbine at varying flow rates. The turbine is designed and tested using computational fluid dynamics tools prior to manufacturing and experimental studies. A parametric study of the runner blade parameters is conducted to obtain the most efficient blade design with minimal hydraulic losses. These parameters include the runner stagger and runner leading edge flow angles. The selected runner design showed improved hydraulic characteristics of the turbine to operate in an ultra-low-head site with minimal losses.

• Journal of Wetlands Research
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• v.6 no.3
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• pp.55-70
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• 2004

The wetland ecosystem is a complex products of various erosion force, accumulation as water flows, hydrogeomorphic units, seasonal changes, the amount of rainfalls, and other essential element. There is no single, correct, ecologically sound definition for wetlands because of the diversity of wetlands and the demarcation between dry and wet environments occurs along a continuum, but wetland plays various ecosystem functions. Despite comprehensive integration through classification and impact factors there is still lacking in systematic management of wetlands. Classification system developed by the USFWS(1979) is hierarchical progresses from systems and subsystems at general levels to classes, subclasses, dominance types, and habitat modifiers. Systems and subsystems are delineated according to major physical attributes such as tidal flushing, ocean-derived salts, and the energy of flowing water or waves. Classes and subclasses describe the type of substrate and habitat or the physiognomy of the vegetation or faunal assemblage. Wetland classes are divided into physical types and biotic types. For the wise management of wetlands in Korea, this study was carried out to examine methodology of USFWS classification system and discuss its application for Korean wetland hydrogeomorphic units already known. Seven wetland types were chosen as study sites in Korea divided into some different types based on USFWS system. Three wetland types belonging to palustrine system showed no difference between Wangdungjae wetland and Mujechi wetland, but Youngnup of Mt. Daeam was different from the former two types at the level of dominant types. This fact means that setting of classification system for management of wetland is needed. Although we may never know much about the wetland resources that have been lost, there are opportunities to conserve the riches that remain. Extensive inventory of all wetland types and documentation of their ecosystem functions are vital. Unique and vulnerable examples in particular need to be identified and protected. Furthermore, a framework with which to demonstrate wetland characteristics and relationships is needed that is sufficiently detailed to achieve the identification of the integrity and salient features of an enormous range of wetland types.

• Journal of Intelligence and Information Systems
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• v.22 no.4
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• pp.193-215
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• 2016

In recent years, the proliferation of diverse social networking services has led users to use many mediums simultaneously depending on their individual purpose and taste. Besides, while collecting information about particular themes, they usually employ various mediums such as social networking services, Internet news, and blogs. However, in terms of management, each document circulated through diverse mediums is placed in different categories on the basis of each source's policy and standards, hindering any attempt to conduct research on a specific category across different kinds of sources. For example, documents containing content on "Application for a foreign travel" can be classified into "Information Technology," "Travel," or "Life and Culture" according to the peculiar standard of each source. Likewise, with different viewpoints of definition and levels of specification for each source, similar categories can be named and structured differently in accordance with each source. To overcome these limitations, this study proposes a plan for conducting category mapping between different sources with various mediums while maintaining the existing category system of the medium as it is. Specifically, by re-classifying individual documents from the viewpoint of diverse sources and storing the result of such a classification as extra attributes, this study proposes a logical layer by which users can search for a specific document from multiple heterogeneous sources with different category names as if they belong to the same source. Besides, by collecting 6,000 articles of news from two Internet news portals, experiments were conducted to compare accuracy among sources, supervised learning and semi-supervised learning, and homogeneous and heterogeneous learning data. It is particularly interesting that in some categories, classifying accuracy of semi-supervised learning using heterogeneous learning data proved to be higher than that of supervised learning and semi-supervised learning, which used homogeneous learning data. This study has the following significances. First, it proposes a logical plan for establishing a system to integrate and manage all the heterogeneous mediums in different classifying systems while maintaining the existing physical classifying system as it is. This study's results particularly exhibit very different classifying accuracies in accordance with the heterogeneity of learning data; this is expected to spur further studies for enhancing the performance of the proposed methodology through the analysis of characteristics by category. In addition, with an increasing demand for search, collection, and analysis of documents from diverse mediums, the scope of the Internet search is not restricted to one medium. However, since each medium has a different categorical structure and name, it is actually very difficult to search for a specific category insofar as encompassing heterogeneous mediums. The proposed methodology is also significant for presenting a plan that enquires into all the documents regarding the standards of the relevant sites' categorical classification when the users select the desired site, while maintaining the existing site's characteristics and structure as it is. This study's proposed methodology needs to be further complemented in the following aspects. First, though only an indirect comparison and evaluation was made on the performance of this proposed methodology, future studies would need to conduct more direct tests on its accuracy. That is, after re-classifying documents of the object source on the basis of the categorical system of the existing source, the extent to which the classification was accurate needs to be verified through evaluation by actual users. In addition, the accuracy in classification needs to be increased by making the methodology more sophisticated. Furthermore, an understanding is required that the characteristics of some categories that showed a rather higher classifying accuracy of heterogeneous semi-supervised learning than that of supervised learning might assist in obtaining heterogeneous documents from diverse mediums and seeking plans that enhance the accuracy of document classification through its usage.

• Korean Journal of Environment and Ecology
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• v.25 no.5
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• pp.691-709
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• 2011

This study was performed to classify habitat types depending on environmental factors and to find out distribution characteristics of functional feeding groups of aquatic insects which were collected at that habitat types. Field survey was conducted twice in a year for every spring and fall from 2007 to 2008 for 38 sites in the Geum River. During the field survey 15 environmental factors were measured at each 38 sites and analyzed by similarity analysis method to classify habitat types. The result of similarity analysis showed that the 38 sites could be grouped into 7 classes like as C1 and C3 class belong to Head water(HD), C2 and C4 and C5 class belong to Middle stream(MS), C6 and C7 class belong to Large River(LR) based on euclidean distances 4. And also, we could extract the main environmental factors affecting the classification of habitat types such as Stream Width and Elevation of physical environmental factors, Water Temperature, Conductivity and DO of chemical environmental factors, percentages of Sand, Silt and Gravel of substrate factors. Total 142 species of aquatic insects in 46 families, 9 orders were collected during the field surveys and the occurrence number of species and individuals showed high correlation with the Velocity factor and the percentage of Sand factor of each habitat types. In addition, correlation analysis between functional feeding groups and environmental factors represented that (1) Filtering-collectors(FC) affected by Velocity, Stream Width and Silt, (2) Gathering-collector(GC) affected by Velocity, (3) Predator(P) affected by Elevation, Velocity, Boulder, Conductivity and Sand, (4) Plant-piecer(PP) affected by Water Width and Silt, (5) Scraper(SC) affected by Elevation and Conductivity, (6) Shredder(SH) affected by Elevation, Boulder, DO, pH, Conductivity and Water Temperature respectively. As a result of this study, Elevation, Stream Width, Velocity, Conductivity, Water Temperature and percentage of Sand factors which were deduced by stepwise multiple regression analysis had correlations($r{\geqq}0.600$, p<0.01) with biota community inhabitation. Therefore these six environmental factors were regarded as major environmental factors that might affect highly the distribution of functional feeding groups in stream ecosystem of the Geum River.