• Applied Chemistry for Engineering
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• v.32 no.4
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• pp.472-477
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• 2021

The crosslinking behavior of polyhedral oligomeric silsesquioxane (POSS) containing eight acrylate groups in a cage form in ethylene-propylene-diene rubber (EPDM) peroxide crosslinking, the effect on mechanical properties, and the thermal stability were investigated. An EPDM/POSS composite material was prepared by mixing 0 to 12 parts per hundreds of rubber (phr) of POSS per 100 phr of rubber by content and adding a peroxide crosslinking agent. As a result of crosslinking properties, it was found that the acrylate group of POSS was activated by peroxide and improved the peroxide crosslinking efficiency. Although the dispersion stability of POSS in EPDM/POSS composites was poor, the fracture strength, elongation and thermal stability were improved.

• Journal of KIISE
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• v.43 no.3
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• pp.362-369
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• 2016

This study is directed toward the design of a hybrid algorithm for syllable-based Korean POS tagging. Previous syllable-based works on Korean POS tagging have relied on a sequence labeling method and mostly used only a machine learning method. We present a new algorithm integrating a machine learning method and a pre-analyzed dictionary. We used a Sejong tagged corpus for training and evaluation. While the machine learning engine achieved eojeol precision of 0.964, the proposed hybrid engine achieved eojeol precision of 0.990. In a Quiz domain test, the machine learning engine and the proposed hybrid engine obtained 0.961 and 0.972, respectively. This result indicates our method to be effective for Korean POS tagging.

• Journal of the Korean Society for Precision Engineering
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• v.19 no.7
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• pp.171-179
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• 2002

STEP-NC is the next generation CNC controller taking STEP-based data model as the interface scheme (or language) between CAM and CNC, and carrying out various intelligent functions. At the moment, efforts are being made worldwide to establish international standard for the new interface scheme formalized as ISO14649. As the new language is being established, increasing attention is being paid to the development of the new CNC. Korea STEP-NC is an integrated STEP-NC system taking ISO 14649 as an input, and carrying out various intelligent functions. It is composed of 5 modules: 1) Shop Floor Programming System (PosSFP), 2) Tool Path Generator (PosTPG), 3) Tool Path Viewer (PosTPV), 4) Man Machine Interface (PosMMI), and 5) CNC Kernel (PosCNC). Distinguished from other prototypes (of Europe and USA), the Korea STEP-NC is top-down designed, and bottom-up implemented comprehensively incorporating all the crucial components for realizing the full benefit of STEP-NC paradigm, without using any existing commercial CAD/CAM systems and CNC kernels. The Korea STEP-NC prototype was successfully demonstrated and evaluated in the ISO conventions Together with prototypes of Europe and USA, Korea STEP-NC will be used as a reference system fur the Triangular Conformance Test to be jointly carried out by ISO TC184 SC1, SC4, and IMS Project.

• Proceedings of the Korean Powder Metallurgy Institute Conference
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• 2006.09b
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• pp.1112-1113
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• 2006

The perovskite- type oxide $(ABO_3)$ containing transition metals on the B-site show mixed (electronic/ionic) conductivity. These mixed-conductivity oxides are promising materials for oxygen permeating membranes. The main objective of this research work is to synthesize and characterization ceramic powders of the Sr-Co-Fe-O system for methane conversion using membrane reactor. SCFO powders were synthesized from the route was based on the complex method of combination of acid EDTA and citrate and shown be available by control efficient of synthesis to performed $SrCo_{0.8}Fe_{0.2}O_{3-\delta$, moreover, it presented easy implementation, reproducibility and operation. Powder ceramic was characterized by XRD, microscopic optic, SEM and TG-DTA.

• Physical Therapy Rehabilitation Science
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• v.10 no.4
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• pp.503-511
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• 2021

Objective: This study compared pain, muscle power (MP), muscle thickness (MT), and normalized position of the scapula (POS) between general physical therapy and general physical therapy with strengthening exercises of the lower trapezius in patients with rounded shoulder and chronic neck pain. Design: Randomized controlled trial. Methods: The participants were 30 patients of W hospital in Gangnamgu, Seoul, with rounded shoulders who were diagnosed with chronic neck pain. Rounded shoulder was defined as a distance between the surface and acromion of >1 inch in the supine position. The participants were assigned to an experimental group (n=15) and a control group (n=15). The experimental group completed four types of strengthening exercises program for 15 minutes, twice weekly, for a total of 5 weeks. Soft tissue mobilization (STM), cervical extension flexion rotation (CEFR), and physical modality were also performed in both groups. Results: The degree of pain was assessed using the numerical rating scale (NRS), MP was measured a handheld dynamometer, MT was measured by ultrasound, and POS was measured using a tapeline. Significant between-group differences were observed in VAS, MP, MP, and POS. Significant changes were observed in the experimental group for VAS, MP, MT, and POS. Conclusions: Based on the results of this study, it was indicated that lower trapezius strengthening exercises performed together with general physical therapy was significantly improved in pain, MP, MT, and POS in patients with rounded shoulder and chronic neck pain compared to when general physical therapy was performed alone.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.17 no.2
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• pp.15-31
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• 2022

This study was conducted to suggest a start-up policy that includes start-up education and support for active seniors with various careers who try to change their careers before and after retirement. From this point of view, this study divided the factors affecting the entrepreneurial will of active seniors into entrepreneurship organizational and functional competency and identified the effect of these competencies on entrepreneurial efficacy and entrepreneurial intention. In the proposed model, start-up competency is divided into organizational competency (leadership, creativity problem-solving, communication, decision-making) and functional competency (management strategy, marketing, business plan). And this study examined the mediating role of entrepreneurial efficacy in the relationship between entrepreneurial competency factors and entrepreneurial intention. Meanwhile, PLS-POS analysis was performed to uncover the heterogeneity and pattern in the proposed structural model. The survey was conducted with the help of an online survey company from November 27 to December 15, 2020 for the active senior age group from 40 to under 65 years old. Data were collected from a total of 433 panelists and analyzed using SPSS 22.0 and SmartPLS 3.3.7 programs. The findings are as follows. First, the finding shows that the entrepreneurial organizational and functional competencies of active seniors had significant positive(+) effects on entrepreneurial efficacy. Second, the result shows that entrepreneurial organizational and functional competencies of active seniors had significant positive(+) effects on entrepreneurial intention. Third, the findings show that entrepreneurship efficacy had a significantly positive(+) effect on entrepreneurial intention. The findings of PLS-POS show that entrepreneurship education needs to be carried out by identifying the needs that require entrepreneurial organizational and functional competency when training for entrepreneurship competency. In summary, the findings of the current study are to determine what the competency factors are for the government (local government) to increase the policy direction necessary for establishing and implementing entrepreneurship education and training programs to develop policies to enhance the economic activity participation rate of active seniors.

• Journal of Digital Convergence
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• v.6 no.2
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• pp.65-76
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• 2008

Recently, software distribution method, along with advent of era of Web 2.0, is rapidly evolving from ASP(Application Service Provider) method into SaaS(Soft as a Service) method due to development in concepts and technologies including SOA(Service Oriented Architecture) Web Service, On Demand and Component. Determining factor in market competitiveness of newly emerging SaaS business model will be analyzed by focusing on Group-Wares, POS(Point of Sale) System, CRM(Customer Relationship Management) and ERP(Enterprise Resource Planning), which are the most representative SaaS business models in Korea. It is anticipated that the outcome of analysis of determining factors for market competitiveness for each of the main SaaS Business Models acquired through questionnaire survey can be utilized as important benchmarking material in setting the direction of cultivating SaaS market by the government as well as new entries into SaaS market.

• Annual Conference on Human and Language Technology
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• 2018.10a
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• pp.417-421
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• 2018

The Universal Dependencies 프로젝트는 현재 71개 언어, 122개 Treebank로 이루어져 있으며, 병렬 언어 처리를 위해 여러 언어에 적용할 수 있는 형태적, 구문론적 특성을 찾는 것을 목표로 한다. 본고는 UD의 형태 태그셋인 Universal POS를 살펴보고, 한국어의 기존 형태 태그셋을 UPOS로 자동 변환하여 적용하는 방안을 제안한다. 영어와 같은 굴절어를 중심으로 구축된 UPOS 체계를 교착어에 속하는 한국어에 적용하기 위해서는 UPOS의 개별 표지와 21세기 세종계획 형태 주석 표지 결합체 간의 일대다 사상을 시도해야 한다.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.12 no.1
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• pp.6-14
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• 2012

All types of part-of-speech (POS) tagging errors have been equally treated by existing taggers. However, the errors are not equally important, since some errors affect the performance of subsequent natural language processing seriously while others do not. This paper aims to minimize these serious errors while retaining the overall performance of POS tagging. Two gradient loss functions are proposed to reflect the different types of errors. They are designed to assign a larger cost for serious errors and a smaller cost for minor errors. Through a series of experiments, it is shown that the classifier trained with the proposed loss functions not only reduces serious errors but also achieves slightly higher accuracy than ordinary classifiers.

• KSCI Review
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• v.15 no.1
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• pp.117-124
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• 2007

통계 기반 접근 방법을 이용한 품사태깅에서 태깅 정확도는 훈련 데이터의 양에 좌우될 뿐 아니라, 말뭉치가 충분할지라도 수작업으로 구축한 말뭉치의 경우 항상 오류의 가능성을 내포하고 있으며 언어의 특성상 통계적으로 신뢰할만한 데이터의 수집에도 어려움이 따른다. 훈련 데이터로 사용되는 말뭉치는 많은 사람들이 수작업으로 구축하므로 작업자 중 일부가 언어에 대한 지식이 부족하다거나 주관적인 판단에 의한 태깅 실수를 포함할 수도 있기 때문에 단순한 저빈도와 관련된 잡음 외의 오류들이 포함될 수 있는데 이러한 오류들은 재추정이나 평탄화 기법으로 해결될 수 있는 문제가 아니다. 본 논문에서는 HMM(Hidden Markov Model)을 이용한 한국어 품사 태깅에서 재추정 후 여전히 존재하는 말뭉치의 잡음에 인한 태깅 오류 해결을 위해 비터비 알고리즘적용 단계에서 데이터 부족과 말뭉치의 오류로 인해 문제가 되는 부분을 찾아내고 규칙을 통해 수정을 하여 태깅 결과를 개선하는 방안을 제안한다. 실험결과는 오류가 존재하는 말뭉치를 사용하여 구현된 HMM과 비터비 알고리즘을 적용한 태깅 정확도에 비해 오류를 수정하는 과정을 거친 후 정확도가 향상됨을 보여준다.