• Journal of KIISE
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• v.42 no.4
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• pp.475-482
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• 2015

Developing a high-performance Semantic Role Labeling (SRL) system for a domain requires manually annotated training data of large size in the same domain. However, such SRL training data of sufficient size is available only for a few domains. Performances of Korean SRL are degraded by almost 15% or more, when it is directly applied to another domain with relatively small training data. This paper proposes two techniques to minimize performance degradation in the domain transfer. First, a domain adaptation algorithm for Korean SRL is proposed which is based on the prior model that is one of domain adaptation paradigms. Secondly, we proposed to use simplified features related to morphological and syntactic tags, when using small-sized target domain data to suppress the problem of data sparseness. Other domain adaptation techniques were experimentally compared to our techniques in this paper, where news and Wikipedia were used as the sources and target domains, respectively. It was observed that the highest performance is achieved when our two techniques were applied together. In our system's performance, F1 score of 64.3% was considered to be 2.4~3.1% higher than the methods from other research.

• Journal of The Korean Association For Science Education
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• v.34 no.6
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• pp.593-599
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• 2014

The purpose of this study is to figure out the influence on the students' achievement of the cognitive and the affective domains by descriptive items assessment of teacher or peer and to obtain implications by analyzing the students' satisfaction and the reliability of the assessment. For this purpose, two classes of 11th grade students located in a small city were selected and took an exam related to the cognitive and the affective domains before and after the assessment. The assessment activities were carried out during 10 lessons and the teacher gave feedback to the students of the teacher assessment class in the lessons. In the peer assessment class, a small-size student group discussion and feedback were given to the students after the exam. The results show that higher level achievement group students represented relatively positive satisfaction on teacher assessment, and lower level achievement group students represented positive satisfaction on peer assessment. In spite of the same marker list, higher level achievement group students represent relatively high reliability than lower level achievement group students. The lower level achievement group students in the peer assessment class got statistically meaningful improvement of achievement than the students of teacher assessment class. The peer assessment activity was positively influenced on the affective domain of the lower level achievement group students, especially signigicant meaning of statistics was found on the students' perception about science.

• Journal of The Korean Association For Science Education
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• v.32 no.7
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• pp.1109-1123
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• 2012

The purpose of this study is to examine the effects of small group discussion on elementary students' science writing. In this study, four 6th grade students were chosen from an elementary school in Seoul. Students were involved in eight science writing classes and the contents of a small group discussion and interactions were recorded and observed. Students' science works were collected and analysed based on three domains: scientific thinking, logic and originality. The result of this study showed that the contents of a small group discussion greatly affected the scientific thinking domain. A low-achieving student received lots of help from a high-achieving student. It was easy to improve in the logic domain through the science writing classes. Average students got good grades in an originality domain when the subject was related to their real life. A small group discussion would have an effect on science writing ability positively if the students acquired proper guidance on the procedure and manner of discussion. The science writing lesson would be more effective if the learning group was organized homogeneously in the aspects of intelligence achievement and interpersonal relationships.

• Journal of Korea Port Economic Association
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• v.39 no.4
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• pp.147-161
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• 2023

As global challenges, particularly climate change, become more pressing, there is a growing global awareness of Environmental, Social, and Governance (ESG) management. Given the crucial role played by the logistics industry in the complex network of the global supply chain, various societal stakeholders are emphasizing the necessity for logistics entities to practice ESG management. Despite the comprehensive ESG guidelines established by Korea for all enterprises, a notable limitation arises from its inadequate consideration of the distinctive features inherent to logistics enterprises, especially those of a smaller and medium scale. Accordingly, this study conducts a thorough examination of existing ESG guidelines, sustainable management approaches in large-scale logistics enterprises, and prior research to identify potential ESG management diagnostic criteria relevant to small and medium-sized logistics enterprises, including aspects such as Public(P), Environmental(E), Social(S), and Governance(G). To streamline the diagnostic criteria, taking into account the unique characteristics of small and medium-sized logistics enterprises, this study conducts a survey involving 60 logistics company personnel and experts from academic and research domains. The collected data undergoes Principal Component Analysis (PCA), revealing that the four dimensions of information disclosure can be consolidated into a single dimension. Additionally, environmental criteria reduce from 16 to 3 items, societal considerations decrease from 22 to 7 items, and governance structures distill from 20 to 5 items. This empirical endeavor is deemed significant in presenting tailored ESG management diagnostic criteria aligned with the specificities of small and medium-sized logistics enterprises. The findings of this study are expected to serve as a foundational resource for the development of guidelines by relevant entities, promoting the wider adoption of ESG management practices in the sphere of small and medium-sized logistics enterprises in the near future. population coming from areas other than Gwangyang, where Gwangyang Port is located.

• Proceedings of the Korean Society of Plant Pathology Conference
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• 2003.10a
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• pp.81.2-82
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• 2003

Plants have evolved along with pathogens, and they have developed sophisticated defense systems against specific microorganisms to survive. G-protons are considered one of the upstream signaling components working as a key for the defense signal transduction pathway. For activation and inactivation of G-protein, GTP-biding proteins are involved. GTP -binding proteins are found in all organisms. Small GTP-binding proteins, having masses of 21 to 30kD, belong to a superfamily, often named the Ras supefamily because the founding members are encoded by human Ras genes initially discovered as cellular homologs of the viral ras oncogene. Members of this supefamily share several common structural features, including several guanine nucleotide binding domains and an effector binding domain. However, exhibiting a remarkable diversity in both structure and function. They are important molecular switches that cycle between the GDP-bound inactive form into the GTP-bound active form through GDP/GTP replacement. In addition, most GTP-binding proteins cycle between membrane-bound and cytosolic forms. such as the RAC family are cytosolic signal transduction proteins that often are involved in processing of extracellular stimuli. Plant RAC proteins are implicated in regulation of plant cell architecture secondary wall formation, meristem signaling, and defense against pathogens. But their molecular mechanisms and functions are not well known. We isolated a RacB homolog from rice to study its role of defense against pathogens. We introduced the constitutively active and the dominant negative forms of the GTP-hinging protein OsRacB into the wild type rice. The dominant negative foms are using two forms (full-sequence and specific RNA interference with RacB). Employing southern, and protein analysis, we examine to different things between the wild type and the transformed plant. And analyzing biolistic bombardment of onion epidermal cell with GFP-RacB fusion protein revealed association with the nucle.

• The Journal of the Korea Contents Association
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• v.10 no.6
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• pp.415-428
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• 2010

Converging technologies have become a major issue in science policy. This paper describes the current state of scientific collaboration for convergent technologies among researchers in South Korea, by conducting Social Network Analysis (SNA) with the data set of 1,095 researchers who have involved in the development of the convergent technologies. It is found that the researchers in convergent technology are more productive than the researchers in other technology domains. However, the researchers in convergent technologies have small number of collaborators, compared with their productivity. Only a few researchers have a role of the hub in the collaboration networks, meaning that the structure network is closer to than the core than the peripheral. The scientific collaboration network of the convergent technology researchers shows that the members of the network are close to each other, but there is small number of cliques.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.1
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• pp.214-220
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• 2021

SUGVs (Small Unmanned Ground Vehicles) are being used to conduct dangerous missions, such as EOD (explosive ordinance disposal), counter-terrorism operations, fire extinguishing and fire-fighting reconnaissance, reconnaissance of disaster areas, and surveillance of contact areas. Technology leading countries, the United States, United Kingdom, France, Germany, and Israel, have developed and operated various SUGVs for use in the military and civilian fields. The developed system was upgraded further based on additional requirements associated with data collected during the actual operation. The development trends of technology leading countries are an important indicator for the future development of SUGVs. In this study, the development trends and missions of SUGVs operating in the technology leading countries were analyzed. Based on the development trends of SUGVs in these countries, this paper discusses the features and design characteristics needed for the development of SUGVs in future military and civilian domains.

• Journal of IKEEE
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• v.26 no.4
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• pp.568-576
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• 2022

Automatic modulation classification(AMC) is a core technique in Software Defined Radio(SDR) platform that enables smart and flexible spectrum sensing and access in a wide frequency band. In this study, we propose a simple yet accurate deep learning-based method that allows AMC for variable-size radio signals. To this end, we design a classification architecture consisting of two Convolutional Neural Network(CNN)-based models, namely main and small models, which were trained on radio signal datasets with two different signal sizes, respectively. Then, for a received signal input with an arbitrary length, modulation classification is performed by augmenting the input samples using a self-replicating padding technique to fit the input layer size of our model. Experiments using the RadioML 2018.01A dataset demonstrated that the proposed method provides higher accuracy than the existing methods in all signal-to-noise ratio(SNR) domains with less computation overhead.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.19 no.1
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• pp.74-86
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• 2012

Purpose: The purpose of this study was to develop a comprehensive self-management program promoting self efficacy for Type 2 diabetic patients. Methods: The study was a methodological research design in which previous related research was reviewed to develop the comprehensive self-management program promoting self efficacy using self efficacy theory. Results: Comprehensive self-management programs promoting self efficacy included the whole range of eight self-management domains: diet, exercise, medication, self-testing of blood glucose, complication or foot, stress, time, and general health, and consisted of four sources of self efficacy: enactive mastery experience, vicarious experience, verbal persuasion, and physiological and affective states, as strategies to promote self efficacy. Developmental methods included, in addition to large and small group education, individual education or counseling, and telephone counseling. Conclusion: Further studies are needed in community health centers or hospitals to establish the effects on self-management compliance and glycemic control of the comprehensive self-management program promoting self efficacy.

• Journal of the Korean Society for Precision Engineering
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• v.23 no.1 s.178
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• pp.174-184
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• 2006

In order to fill the holes with complex shapes in the large polygon model, a new approach which is based on the implicit surface interpolation method combined with domain decomposition method is presented. In the present study, a surface is constructed by creating smooth implicit surface from the incomplete polygon model through which the surface should pass. In the method an implicit surface is defined by a radial basis function, a continuous scalar-valued function over the domain $R^3$ The generated surface is the set of all points at which this scalar function takes on the value zero and is created by placing zero-valued constraints at the vertices of the polygon model. In this paper the well-known domain decomposition method is used in order to treat the large polygon model. The global domain of interest is divided into smaller domains where the problem can be solved locally. LU decomposition method is used to solve a set of small local problems and their local solutions are combined together using the weighting coefficients to obtain a global solution. In order to show the validity of the present study, various hole fillings are carried out fur the large and complex polygon model of arbitrary topology.