• 국제학술발표논문집
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• The 4th International Conference on Construction Engineering and Project Management Organized by the University of New South Wales
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• pp.318-323
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• 2011

Illegal and unethical behaviors of the construction industry affect people's lives and health more than the same problems of the other industries. Among these behaviors, the construction industry is mostly criticized for bribery scandals. According to the survey of the Ministry of Justice in Taiwan over the past years, bribery cases involving public engineering projects and governmental procurements account for a rather large portion of the indicted corruption cases. Transparency International's "Bribe Payer Index" indicates people in construction-related industries are the most likely to pay bribes. Poor construction quality directly and indirectly caused by bribery poses a great threat to public safety, organizational reputation and economic development. However, there is a limited number of existing research on the bribery problem of the construction industry. This study is an empirical attempt to explore bribery intention and its affecting factors among the construction organizations in Taiwan by conducting a questionnaire survey. The theory of planned behavior was used in this study to build its research model (covering elements of attitude, subjective norm, perceived behavior control, and intention). Totally 431 valid samples were returned. To explore the factors affecting bribery intention, this study adopted Pearson's correlation analysis to discuss about the connections among the questionnaire respondents' attitudes to bribery, subjective norms, perceived behavior control, and bribery intention. A multi-regression analysis was then conducted to test if the planned behavior theory can effectively predict bribery intention. The research found (1) according to the results of Pearson's correlation analysis, the respondents' bribery intention, attitudes, subjective norms, and perceived behavior control are positively correlated with one another; (2) according to the results of the multi-regression analysis, bribery intention can be explained through attitudes, subjective norms, and perceived behavior control with an adjusted R² value of 0.591, meaning 59.1% of the bribery intention's variances can be explained through the three dimensions. In addition, each of the three dimensions has a significant influence on the respondents' behavior intentions.

• 아태비즈니스연구
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• 제14권2호
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• pp.201-212
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• 2023

Purpose - Internet-based e-commerce is rapidly developing and applied, and e-commerce through Internet technology overcomes the time and space constraints of existing business exchanges and facilitates multinational transactions.At the same time, disputes over e-commerce are increasing.In order to solve these disputes, clear laws should be regulated and regulated. Design/methodology/approach - This paper first studies the development and trend of E-commerce, then studies the legal provisions of CISG, and then combines them to analyze and draw a conclusion. Findings - Since its enactment in 1980, the CISG has been one of the most influential international commercial laws to date, with 95 States parties. It is a very important international agreement and norm that helps maintain and facilitate the settlement of international trade disputes and coordination of international merchandise sales activities. However, CISG, which is most widely used in traditional trade, faces many challenges due to the nature of E-commerce, but after studying the development and trend of E-commerce and the legal provisions of E-commerce, we conclude that CISG can be applied to E-commerce. Research implications or Originality - All the international conventions are the fruit of the efforts of the people, CISG, as one of the most important unitary laws of international trade, can be said to be representative.The analysis of CISG's legal provisions should be combined with the current international e-commerce trade form, so that CISG can be reasonably applied to modern trade disputes.

• 대한임베디드공학회논문지
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• 제18권6호
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• pp.267-275
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• 2023

This paper presents the development of specialized software for annotating volume-of-interest on ¹⁸F-FDG PET/CT images with the goal of facilitating the studies and diagnosis of head and neck cancer (HNC). To achieve an efficient annotation process, we employed the SE-Norm-Residual Layer-based U-Net model. This model exhibited outstanding proficiency to segment cancerous regions within ¹⁸F-FDG PET/CT scans of HNC cases. Manual annotation function was also integrated, allowing researchers and clinicians to validate and refine annotations based on dataset characteristics. Workspace has a display with fusion of both PET and CT images, providing enhance user convenience through simultaneous visualization. The performance of deeplearning model was validated using a Hecktor 2021 dataset, and subsequently developed semi-automatic annotation functionalities. We began by performing image preprocessing including resampling, normalization, and co-registration, followed by an evaluation of the deep learning model performance. This model was integrated into the software, serving as an initial automatic segmentation step. Users can manually refine pre-segmented regions to correct false positives and false negatives. Annotation images are subsequently saved along with their corresponding ¹⁸F-FDG PET/CT fusion images, enabling their application across various domains. In this study, we developed a semi-automatic annotation software designed for efficiently generating annotated lesion images, with applications in HNC research and diagnosis. The findings indicated that this software surpasses conventional tools, particularly in the context of HNC-specific annotation with ¹⁸F-FDG PET/CT data. Consequently, developed software offers a robust solution for producing annotated datasets, driving advances in the studies and diagnosis of HNC.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제18권4호
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• pp.1042-1058
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• 2024

Terahertz (THz) communication is becoming a key technology for future 6G wireless networks because of its ultra-wide band. However, the implementation of THz communication systems confronts formidable challenges, notably beam splitting effects and high computational complexity associated with them. Our primary objective is to design a hybrid precoder that minimizes the Euclidean distance from the fully digital precoder. The analog precoding part adopts the delay-phase alternating minimization (DP-AltMin) algorithm, which divides the analog precoder into phase shifters and time delayers. This effectively addresses the beam splitting effects within THz communication by incorporating time delays. The traditional digital precoding solution, however, needs matrix inversion in THz massive multiple-input multiple-output (MIMO) communication systems, resulting in significant computational complexity and complicating the design of the analog precoder. To address this issue, we exploit the characteristics of THz massive MIMO communication systems and construct the digital precoder as a product of scale factors and semi-unitary matrices. We utilize Schatten norm and Hölder's inequality to create semi-unitary matrices after initializing the scale factors depending on the power allocation. Finally, the analog precoder and digital precoder are alternately optimized to obtain the ultimate hybrid precoding scheme. Extensive numerical simulations have demonstrated that our proposed algorithm outperforms existing methods in mitigating the beam splitting issue, improving system performance, and exhibiting lower complexity. Furthermore, our approach exhibits a more favorable alignment with practical application requirements, underlying its practicality and efficiency.

• Animal Bioscience
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• 제37권1호
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• pp.16-27
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• 2024

Objective: The objective of this study was to investigate the effect of heat stress on the growth traits and genetic parameters of Thai native chickens. Methods: A total of 16,487 records for growth traits of Thai native chickens between 2017 and 2022 were used in this study. Data included the body weight at birth, body weight at 4, 8, and 12 weeks of age (BW0, BW4, BW8, BW12), average daily gain during 0 to 4, 4 to 8, and 8 to 12 weeks of age (ADG0-4, ADG4-8, ADG8-12), absolute growth rate at birth, at 4, 8, and 12 weeks of age (AGR0, AGR4, AGR8, AGR12). The repeatability test day model used the reaction-norm procedure to analyze the threshold point of heat stress, rate of decline of growth traits, and genetic parameters. Results: At temperature and humidity index (THI) of 76, Thai native chickens began to lose their growth traits, which was the onset of heat stress in this study. The estimated heritability, genetic correlation between animal and heat stress effect, and correlations between the intercept and slope of the permanent environmental effects were 0.27, -0.85, and -0.83 for BW, 0.17, -0.81, and -0.95 for ADG, 0.25, -0.61, and -0.83 for AGR, respectively. Male chickens are more affected by heat stress than female chickens with a greater reduction of BW, ADG, and AGR, values equal to -9.30, -0.23, -15.21 (in males) and -6.04, -0.21, -10.10 (in females) gram per 1 level increase of THI from the THI of 76. Conclusion: The influence of thermal stress had a strong effect on the decline in growth traits and genetic parameters in Thai native chickens. This study indicated that genetic models used in conjunction with THI data are an effective method for the analysis and assessment of the effects of heat stress on the growth traits and genetics of native chickens.

• 한국컴퓨터정보학회논문지
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• 제29권2호
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• pp.153-168
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• 2024

본 연구는 의료정보서비스 애플리케이션에 대한 지속적 이용의도에 영향을 미치는 변인들 간의 유의성을 검증하기 위해 ETPB를 기반으로 PLS-SEM을 사용하여 실증적인 연구를 진행하였다. 첫째, 개인적 특성 변수인 친밀감, 사전지식과 인지된 기대편익 변수인 비용절감은 TPB 변수인 태도, 주관적 규범, 인지된 행동통제에 유의한 영향을 미친다는 것이 확인되었다. 둘째, TPB 변수들은 행동의도에 유의한 영향을 미치고 행동의도는 지속적 이용의도에 유의한 영향을 미친다는 것이 확인되었다. 셋째, 친밀감, 사전지식, 비용절감은 의료소비자들의 인식 전환을 기반으로 하는 행동의도의 매개를 통해 지속적 이용의도에 영향을 미친다는 것이 확인되었다. 본 연구는 의료소비자들의 행동의도를 통해 의료정보서비스 애플리케이션에 대한 지속적 이용의도에 미치는 영향을 도출하여 의료소비자들의 행태를 실증적으로 규명하였다는 점에서 그 의의를 찾을 수 있다.

• 대한치위생과학회지
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• 제1권2호
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• pp.53-60
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• 2018

The purpose of this study was to examine the relationship between academic personality types and academic achievement in an effort to seek teaching and learning strategies geared toward improving the academic achievement of students. The subjects in this study were 400 dental hygiene students who were randomly selected from three-year colleges in Gyeonggi Province. Their academic personality types and academic achievement were investigated, and the findings of the study were as follows: 1. As for the academic personality types of the subjects, the inquiry-oriented type was most dominant, and the ideal-oriented one was least common. 2. In regard to differences in academic personality types according to academic year, the inquiry-oriented type was most common in every academic year, and there were statistically significant differences(p<.05). 3. As to differences in academic personality types according to academic achievement, the best academic achievement was found in the norm-oriented type, and there were statistically significant differences(p<.05). 4. Concerning differences among the subjects in academic satisfaction according to academic personality types, there were no statistically significant differences(p>.05). When the above-mentioned findings of the study were pieced together, the academic achievement of the subjects varied with their academic personality types, and it's consequently necessary to make an effort to apply different teaching methods and learning methods according to their preferences. As there are individual variances among students in achievement goal, preferred learning method and experience though they study in the same space with different learning methods, the development of student guidance programs tailored to academic personality types seems necessary.

• 대한치과교정학회지
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• 제31권5호
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• pp.505-515
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• 2001

대한치과교정학회 부정교합백서 발간위원회에서 보관중인 한국성인 정상교합자의 표본(남 22명, 여 55명)과 연세대학교 치과대학 교정과에서 부정 교합 백서 발간을 위하여 수집한 표본(남자: 21명)을 이용한 한국성인 정상교합자의 치아크기의 계측과 비율에 관한 연구를 통해, 한국성인 정상교합자의 치아크기의 평균치를 구하고, 조화로운 교합관계와 심미성의 획득에 기여하는 치아크기의 비율을 구하여 다음과 같은 결론을 얻었다. 1. 한국성인 정상교합자의 남녀 치아크기의 평균치를 구하였다. 2. 남녀간 치아크기의 평균치 비교에서 상하악 제1대구치를 제외한 치아에서 통계적으로 유의하게 남자의 치아크기가 여자의 치아크기에 비하여 크게 계측되었다(p<0.05). 3. 계측된 한국성인 정상교합자의 치아크기 평균치를 바탕으로 교정치료시 전치부에서의 적절한 수직피개도와 수평피개도, 구치부에서의 적절한 교합관계를 예측할 수 있게 해주는 치아비율을 산출하였다. 1) Sum of incisors = 4 : 2.97 2) Neff anterior coefficient = 1.28 3) Bolton의 anterior ratio = 78.29%, overall ratio = 91.14% 4. 혼합치열기에서 맹출된 4전치 폭경의 합과 상하악 편측 미맹출 견치와 소구치 폭경의 합과의 상관관계를 조사한 결과 양의 상관관계를 나타내었으며, 이 상관관계에 의해 상하악 편측 미맹출 소구치 폭경의 합을 예측할 수 있는 회귀방정식을 구하였다. 1) 미맹출 편측 상악 견치와 소구치 폭경의 합 예측 회귀방정식 = 10.435018 + 0.513346 ${\times}$ (하악 4전치의 합) 2) 미맹출 편측 하악 견치와 소구치 폭경의 합 예측 회귀방정식 = 9.654002 + 0.502565 ${\times}$ (하악 4전치의 합)

• 벤처창업연구
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• 제15권4호
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• pp.231-244
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• 2020

4차 산업혁명의 급속한 진전에 따라 기술 인력은 기업의 핵심 경쟁요소가 되고 있으며 기술교육을 통하여 인력을 양성하는 것은 벤처창업기업의 필수 과제가 되고 있다. 이에 따라 기술 교육과정의 개설과 기업의 교육지원제도는 증가하고 있으나 기술인력 부족현상은 오히려 점차 심화되고 있다. 이에 본 연구는 기술교육의 참여의도에는 인간 행동의 결정요인이 중요하다고 판단하여 이를 설명하는 목표지향행동모델(Model of Goal-directed Behavior)을 토대로 연구모형을 설정하였다. 따라서 목표지향행동모델(MGB)을 기반으로 4차 산업혁명 기술교육의 참여의도에 영향을 미치는 요인을 연구하기 위해 4차 산업혁명 기술교육 참여 잠재 이용자를 대상으로 수집한 250개 설문 데이터를 기반으로 구조방정식 모형을 이용하여 분석하였다. 분석한 결과, 독립변수 중 태도, 주관적 규범, 긍정적 기대정서, 부정적 기대정서는 종속변수인 기술교육 참여의도에 직접적으로 영향을 미친 반면 지각된 행동통제는 기술교육 참여의도에 직접적인 영향력이 없는 것으로 나타났다. 기술교육 참여의도에 대한 독립변수의 영향력 크기는 긍정적 기대정서, 태도, 부정적 기대정서, 주관적 규범 순으로 나타났다. 한편, 열망은 독립변수인 태도, 주관적 규범, 지각된 행동통제, 긍정적 기대정서, 부정적 기대정서와 종속변수인 참여의도 간에 매개역할을 하는 것으로 나타났다. 특히 지각된 행동통제는 기술교육 참여의도에 직접적인 영향은 미치지 않지만 열망을 매개로 하여 기술교육 참여의도에 유의한 영향(완전매개)을 미치는 것으로 나타났다. 본 연구의 학술적 시사점은 다음과 같다. 첫째, 목표지향행동모델(MGB)을 기술교육 분야에 적용하였다. 둘째, 독립변수와 행동의도 간의 직접적인 관계도 동시에 검정하였다. 셋째, 기존의 교육관련 연구와 달리 교육에 참여하는데 있어서 영향을 미치는 요인들을 분석하였다. 넷째, 열망이 교육에 미치는 중요성을 제시하였다.

• 기술혁신연구
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• 제24권4호
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• pp.277-307
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• 2016

2011년 이후 농식품 산업에서 연구개발 기술 자산들에 대한 평가를 수행할 때 주도적으로 활용되고 있는 방법이 현금흐름할인(DCF) 방법이었으며, 최근에 종자기술 등과 같은 기술자산의 경우에는 기술료 사례 정보를 기반으로 하는 기술평가를 병행하여 수행해 오고 있다. 지금까지 알려진 현금흐름할인 방법은 추정되어야 할 입력변수가 많아 기술평가 시에 정교한 추정이 요구되고 있다. 또한 기술료 사례 정보를 근거로 하는 거래사례비교 방법이나 업종별 산업표준(industry norm)을 적용할 때에도 평가대상 기술자산과 보다 근사한 거래사례가 적용되어야 하는 것은 농식품 산업분야에서도 동일하게 고려되어야 하는 문제이다. 농식품 산업에서 기술평가 시 활용되고 있는 주요입력변수는 경제적 수명주기, 농식품업종 관련 재무적 정보, 할인율, 기술기여율 등이며, 해당 평가기관에서는 기반 정보구축과 자료 최신화를 주기적으로 수행해오고 있다. 본 연구에서는 농식품 산업에서의 기존의 기술평가 시 평가결과에 가장 중요한 영향 미치는 주요변수를 탐색하고, 기술평가 입력 정보의 최신화를 통해 도출된 참조 지원정보를 활용하여 기존의 대표 평가사례들의 평가결과가 어떤 변화가 발생하였는지를 분석하였다. 또한 입력자료 최신화가 기술평가 결과에 미치는 단편적 정보제공을 보완하기 위한 방안을 제시하면서 기존평가 결과와 자료 현행화 이후의 기술평가 결과를 비교 분석하였다. 이러한 분석을 수행하기 위해서 과거 농식품 산업에서 수행되었던 기술평가 사례를 선별하고 이를 바탕으로 입력변수들에 대한 민감도 분석 방법과 주요 핵심변수를 활용한 시뮬레이션 분석방법을 적용하였다. 본 연구결과는 농식품 분야에서 기술평가 시에 활용되고 있는 입력변수들에 대한 자료 최신화 필요성과 핵심입력변수 기반 구축에 대한 중요한 정책적 시사점, 그리고 기술가치평가 결과에 대한 보다 유용한 정보를 제공할 수 있을 것으로 기대된다.