• Title/Summary/Keyword: Performance Criterion

검색결과 1,190건 처리시간 0.029초

KNOCKOFF를 이용한 성근 VHAR 모형의 FDR 제어 (Controlling the false discovery rate in sparse VHAR models using knockoffs)

  • 박민수;이재원;백창룡
    • 응용통계연구
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    • 제35권6호
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    • pp.685-701
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    • 2022
  • FDR은 1종 오류를 제어하는 매우 보수적인 FWER과 달리 더 자유로운 변수 판단을 제공하여 고차원 자료의 추론에 있어 널리 쓰이고 있다. 본 논문은 Barber와 Candès (2015)가 제안한 knockoff 방법론을 사용하여 FDR을 일정 수준으로 제어하면서 고차원 장기억 시계열 모형인 성근 VHAR 모형을 추정하는 방법을 제안한다. 또한 기존의 방법론인 AL (adaptive Lasso)와의 모의실험을 통한 비교 연구를 통해서 장단점을 비교하였다. 그 결과 AL이 성근 일치성을 보이는 등 전체적으로 좋은 성질을 가지고 있지만, FDR의 관점에서는 비교적 높은 값을 주는 것을 관찰했다. 즉 AL은 0인 계수를 0이 아닌 계수로 추정하려는 경향이 있었다. 반면, knockoff 방법론은 FDR을 일정 수준으로 유지하였지만 표본의 수가 작을 경우 매우 보수적으로 0이 아닌 계수를 찾아냄을 관찰할 수 있었다. 하지만, 모형이 희박할 수록 knockoff의 성능이 크게 향상됨을 확인할 수 있어 표본의 개수가 크고 성근 모형일 경우 knockoff 방법론이 우수함을 살펴볼 수 있었다.

한국 벤처기업 국제화 전략의 유형과 성과 분석 (Analysis of Categories of Internationalization Strategy by Korean Ventures and Their Performances)

  • 이기환;최봉호
    • 무역학회지
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    • 제43권4호
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    • pp.177-217
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    • 2018
  • 벤처기업이 내부자원의 부족함에도 불구하고 신속한 국제화를 이루는 현상에 대해, 벤처기업의 국제화 전략을 유형화하고 이러한 유형과 국제화 성과 간에 유의한 관계가 있는지를 검토하는 것이 본 연구의 목적이다. 유형화의 기준으로서 국제화를 수행하는 벤처기업의 글로벌 창업가정신과 실현화역량을 설정하고, 이를 기준으로 세 가지 유형이 존재하는 모델이 구성되었다. 그에 대한 유형별 특성과 국제화 전략의 내용에 대해서 설명하며 그에 대한 실증적 분석으로서 군집분석이 행해졌다. 각 유형별로 국제화 성과에서의 유의한 차이가 있는지에 대해서도 실증분석 하였다. 군집분석의 결과 개척자형과 신중한 준비형, 그리고 소극적 반응형의 세 가지 유의한 유형이 존재하는 것으로 결론을 내렸다. 또한 해외지명도와 지식·경험의 제고라는 국제화 성과에서는 각 유형 간에 부분적으로 혹은 완전한 정도로 유의한 차이가 나타났다. 따라서 국제화 전략포지션에 따른 유형별 차이와 성과 차이가 존재함을 의미하며, 벤처기업의 국제화 전략과 지원정책의 수립에서 이를 감안해야 할 것으로 판단된다.

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한국형 테스트 패널과 Static Headform Chamber 개발연구 (A Study on the Korean Fit Test Panel and Static Headform Chamber)

  • 서혜경;장호영;안하림
    • 한국산업보건학회지
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    • 제33권2호
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    • pp.145-155
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    • 2023
  • Objectives: A fit test panel is needed to identify the fit performance of a respirator and its face seal. This is a criterion for selecting subjects that can represent the facial characteristics of users. Although anthropometry data has been developed for people in United States and China it is not yet present in Korea. This study aimed to develop a Korean fit test panel and test headform. Methods: For the 7th and 8th waves of the Size Korea anthropometry data, facial measurements of 11,429 people aged 15 to 69 years were used for analysis. PCA and bivariate panel were classified using the ISO16976-2:2022(E) anthropometrics analysis method. Based on this result, a static headform was developemed and a fit test chamber was constructed. Results: Of the 11,429 Korean people used for principal component analysis, 11,300 were included in the ellipse, marking an acceptance rate of 98.87% on PCA panel. The face types were classified into five types. Among them, a large, medium, and small static headform were printed using a 3D printer. In addition, 10,985 people (96.12%) were included in the bivariate panel based on face length and face width. The y-axis (face length) boundary was 97.87 to 134.59 mm, and the x-axis (face width) boundary was 120.75 to 158.23 mm. Conclusions: Compared to the ISO analysis, the Korean principal component was narrower in the width item (PC1) and longer in the length item (PC2). For the future, it is necessary to conduct a fit test using the developed headform and chamber device to confirm the usefulness of this Korean test panel. Therefore, this study is considered valuable as basic research for Korean test panels.

전략적 인적자원관리 측면의 육군 ROTC 제도 개선방안 연구 - 조직편성 및 운영체계를 중심으로 - (A Study on the Improvement Plan of ROK Army's ROTC System in the Aspect of Strategic Human Resource Management -Focusing on the Organizational Structure and Operation System-)

  • 김명렬;김충관
    • 융합보안논문지
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    • 제22권1호
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    • pp.141-148
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    • 2022
  • 한국의 ROTC 제도는 유능한 초급장교 충원과 평시부터 예비전력 확보를 위해 1961년에 미국으로부터 도입되었다. 하지만 2000년대 접어들어 저출산에 따른 학령인구 및 병역자원의 감소, 병 복무기간까지 단축되는 획득환경의 변화로 지원율이 점점 하락하는 심각한 위기에 직면하게 되었다. 따라서 본 연구는 이러한 획득환경의 변화와 그에 따른 지원율 감소의 원인을 분석하여 조직편성 및 운영체계를 중심으로 ROTC 제도 개선방안을 제시하고자 하였다. 연구방법은 국내‧외 문헌연구를 통해 미국과 한국의 ROTC 제도에 관한 사례 간 비교기법을 적용하였다. 이론적 측면에서는 지식기반사회에서 조직의 성과달성과 비교경쟁우위 확보를 위해 기업경영에 적용하고 있는 전략적 인적자원관리를 이론적 준거로 삼았다.

A Study on Multilayer Sub-contracting in Construction Industry of Hong Kong

  • Cheng, T.F.;Lam, H.C.;Leung, K.L.;Liu, W.T.;Zayed, Tarek;Sun, Yi
    • 국제학술발표논문집
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    • The 8th International Conference on Construction Engineering and Project Management
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    • pp.23-29
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    • 2020
  • Multilayer sub-contracting is a significant practice among the world, including Hong Kong. When a principal contractor secured a project from a developer, the specific jobs will usually be breaking down and sub-contractors with the lowest bid [1]. The adoption of multilayer sub-contracting has been a controversy issue which is considered as a two-side blade. While certain studies have been carried out to examine both the contributions, damages and improvements for multi-layer subcontracting, the construction industry and researchers are still waiting for a solid measure to enhance the system. Hence, this research attempts to study the advantages, disadvantages, conducts a comparison between single and multilayer sub-contracting and measures of current Hong Kong construction industry based on literature review, questionnaire and in-depth interviews. To achieve the objectives, Analytic Hierarchy Process (AHP) and total weighted score methods are adopted to examine and rank the criterion. The findings of this study provide a good basis for understanding the major reasons and problems caused by the adoption of multilayer sub-contracting. Besides, the identified safety perspective explores a new perspective regarding to issues of multi-layer subcontracting, which will serve as a solid foundation for further research to enhance safety performance. Finally, the findings of measurements towards improvement of multilayer sub-contracting will also provide a solidsolution for construction industry.

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Multiple effects of nano-silica on the pseudo-strain-hardening behavior of fiber-reinforced cementitious composites

  • Hossein Karimpour;Moosa Mazloom
    • Advances in nano research
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    • 제15권5호
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    • pp.467-484
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    • 2023
  • Despite the significant features of fiber-reinforced cementitious composites (FRCCs), including better mechanical, fractural, and durability performance, their high content of cement has restricted their use in the construction industry. Although ground granulated blast furnace slag (GGBFS) is considered the main supplementary cementitious material, its slow pozzolanic reaction stands against its application. The addition of nano-sized mineral modifiers, including nano-silica (NS), is an alternative to address the drawbacks of using GGBFS. The main object of this empirical and numerical research is to examine the effect of NS on the strain-hardening behavior of cementitious composites; ten mixes were designed, and five levels of NS were considered. This study proposes a new method, using a four-point bending test to assess the use of nano-silica (NS) on the flexural behavior, first cracking strength, fracture energy, and micromechanical parameters including interfacial friction bond strength and maximum bridging stress. Digital image correlation (DIC) was used for monitoring the initiation and propagation of the cracks. In addition, to attain a deep comprehension of fiber/matrix interaction, scanning electron microscope (SEM) analysis was used. It was discovered that using nano-silica (NS) in cementitious materials results in an enhancement in the matrix toughness, which prevents multiple cracking and, therefore, strain-hardening. In addition, adding NS enhanced the interfacial transition zone between matrix and fiber, leading to a higher interfacial friction bond strength, which helps multiple cracking in the composite due to the hydrophobic nature of polypropylene (PP) fibers. The findings of this research provide insight into finding the optimum percent of NS in which both ductility and high tensile strength of the composites would be satisfied. As a concluding remark, a new criterion is proposed, showing that the optimum value of nano-silica is 2%. The findings and proposed method of this study can facilitate the design and utilization of green cementitious composites in structures.

Optimization of forensic identification through 3-dimensional imaging analysis of labial tooth surface using open-source software

  • Arofi Kurniawan;Aspalilah Alias;Mohd Yusmiaidil Putera Mohd Yusof;Anand Marya
    • Imaging Science in Dentistry
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    • 제54권1호
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    • pp.63-69
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    • 2024
  • Purpose: The objective of this study was to determine the minimum number of teeth in the anterior dental arch that would yield accurate results for individual identification in forensic contexts. Materials and Methods: The study involved the analysis of 28 sets of 3-dimensional (3D) point cloud data, focused on the labial surface of the anterior teeth. These datasets were superimposed within each group in both genuine and imposter pairs. Group A incorporated data from the right to the left central incisor, group B from the right to the left lateral incisor, and group C from the right to the left canine. A comprehensive analysis was conducted, including the evaluation of root mean square error (RMSE) values and the distances resulting from the superimposition of dental arch segments. All analyses were conducted using CloudCompare version 2.12.4 (Telecom ParisTech and R&D, Kyiv, Ukraine). Results: The distances between genuine pairs in groups A, B, and C displayed an average range of 0.153 to 0.184mm. In contrast, distances for imposter pairs ranged from 0.338 to 0.522 mm. RMSE values for genuine pairs showed an average range of 0.166 to 0.177, whereas those for imposter pairs ranged from 0.424 to 0.638. A statistically significant difference was observed between the distances of genuine and imposter pairs(P<0.05). Conclusion: The exceptional performance observed for the labial surfaces of anterior teeth underscores their potential as a dependable criterion for accurate 3D dental identification. This was achieved by assessing a minimum of 4 teeth.

조직구성원의 정보기술 인적역량과 개인 업무만족 및 업무성과 간의 관계: 목표지향성 관점 (Relationships Among Employees' IT Personnel Competency, Personal Work Satisfaction, and Personal Work Performance: A Goal Orientation Perspective)

  • 허명숙;천면중
    • Asia pacific journal of information systems
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    • 제21권4호
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    • pp.63-104
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    • 2011
  • The study examines the relationships among employee's goal orientation, IT personnel competency, personal effectiveness. The goal orientation includes learning goal orientation, performance approach goal orientation, and performance avoid goal orientation. Personal effectiveness consists of personal work satisfaction and personal work performance. In general, IT personnel competency refers to IT expert's skills, expertise, and knowledge required to perform IT activities in organizations. However, due to the advent of the internet and the generalization of IT, IT personnel competency turns out to be an important competency of technological experts as well as employees in organizations. While the competency of IT itself is important, the appropriate harmony between IT personnel's business capability and technological capability enhances the value of human resources and thus provides organizations with sustainable competitive advantages. The rapid pace of organization change places increased pressure on employees to continually update their skills and adapt their behavior to new organizational realities. This challenge raises a number of important questions concerning organizational behavior? Why do some employees display remarkable flexibility in their behavioral responses to changes in the organization, whereas others firmly resist change or experience great stress when faced with the need to alter behavior? Why do some employees continually strive to improve themselves over their life span, whereas others are content to forge through life using the same basic knowledge and skills? Why do some employees throw themselves enthusiastically into challenging tasks, whereas others avoid challenging tasks? The goal orientation proposed by organizational psychology provides at least a partial answer to these questions. Goal orientations refer to stable personally characteristics fostered by "self-theories" about the nature and development of attributes (such as intelligence, personality, abilities, and skills) people have. Self-theories are one's beliefs and goal orientations are achievement motivation revealed in seeking goals in accordance with one's beliefs. The goal orientations include learning goal orientation, performance approach goal orientation, and performance avoid goal orientation. Specifically, a learning goal orientation refers to a preference to develop the self by acquiring new skills, mastering new situations, and improving one's competence. A performance approach goal orientation refers to a preference to demonstrate and validate the adequacy of one's competence by seeking favorable judgments and avoiding negative judgments. A performance avoid goal orientation refers to a preference to avoid the disproving of one's competence and to avoid negative judgements about it, while focusing on performance. And the study also examines the moderating role of work career of employees to investigate the difference in the relationship between IT personnel competency and personal effectiveness. The study analyzes the collected data using PASW 18.0 and and PLS(Partial Least Square). The study also uses PLS bootstrapping algorithm (sample size: 500) to test research hypotheses. The result shows that the influences of both a learning goal orientation (${\beta}$ = 0.301, t = 3.822, P < 0.000) and a performance approach goal orientation (${\beta}$ = 0.224, t = 2.710, P < 0.01) on IT personnel competency are positively significant, while the influence of a performance avoid goal orientation(${\beta}$ = -0.142, t = 2.398, p < 0.05) on IT personnel competency is negatively significant. The result indicates that employees differ in their psychological and behavioral responses according to the goal orientation of employees. The result also shows that the impact of a IT personnel competency on both personal work satisfaction(${\beta}$ = 0.395, t = 4.897, P < 0.000) and personal work performance(${\beta}$ = 0.575, t = 12.800, P < 0.000) is positively significant. And the impact of personal work satisfaction(${\beta}$ = 0.148, t = 2.432, p < 0.05) on personal work performance is positively significant. Finally, the impacts of control variables (gender, age, type of industry, position, work career) on the relationships between IT personnel competency and personal effectiveness(personal work satisfaction work performance) are partly significant. In addition, the study uses PLS algorithm to find out a GoF(global criterion of goodness of fit) of the exploratory research model which includes a mediating variable, IT personnel competency. The result of analysis shows that the value of GoF is 0.45 above GoFlarge(0.36). Therefore, the research model turns out be good. In addition, the study performs a Sobel Test to find out the statistical significance of the mediating variable, IT personnel competency, which is already turned out to have the mediating effect in the research model using PLS. The result of a Sobel Test shows that the values of Z are all significant statistically (above 1.96 and below -1.96) and indicates that IT personnel competency plays a mediating role in the research model. At the present day, most employees are universally afraid of organizational changes and resistant to them in organizations in which the acceptance and learning of a new information technology or information system is particularly required. The problem is due' to increasing a feeling of uneasiness and uncertainty in improving past practices in accordance with new organizational changes. It is not always possible for employees with positive attitudes to perform their works suitable to organizational goals. Therefore, organizations need to identify what kinds of goal-oriented minds employees have, motivate them to do self-directed learning, and provide them with organizational environment to enhance positive aspects in their works. Thus, the study provides researchers and practitioners with a matter of primary interest in goal orientation and IT personnel competency, of which they have been unaware until very recently. Some academic and practical implications and limitations arisen in the course of the research, and suggestions for future research directions are also discussed.

협업필터링에서 고객의 평가치를 이용한 선호도 예측의 사전평가에 관한 연구 (Pre-Evaluation for Prediction Accuracy by Using the Customer's Ratings in Collaborative Filtering)

  • 이석준;김선옥
    • Asia pacific journal of information systems
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    • 제17권4호
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    • pp.187-206
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    • 2007
  • The development of computer and information technology has been combined with the information superhighway internet infrastructure, so information widely spreads not only in special fields but also in the daily lives of people. Information ubiquity influences the traditional way of transaction, and leads a new E-commerce which distinguishes from the existing E-commerce. Not only goods as physical but also service as non-physical come into E-commerce. As the scale of E-Commerce is being enlarged as well. It keeps people from finding information they want. Recommender systems are now becoming the main tools for E-Commerce to mitigate the information overload. Recommender systems can be defined as systems for suggesting some Items(goods or service) considering customers' interests or tastes. They are being used by E-commerce web sites to suggest products to their customers who want to find something for them and to provide them with information to help them decide which to purchase. There are several approaches of recommending goods to customer in recommender system but in this study, the main subject is focused on collaborative filtering technique. This study presents a possibility of pre-evaluation for the prediction performance of customer's preference in collaborative filtering before the process of customer's preference prediction. Pre-evaluation for the prediction performance of each customer having low performance is classified by using the statistical features of ratings rated by each customer is conducted before the prediction process. In this study, MovieLens 100K dataset is used to analyze the accuracy of classification. The classification criteria are set by using the training sets divided 80% from the 100K dataset. In the process of classification, the customers are divided into two groups, classified group and non classified group. To compare the prediction performance of classified group and non classified group, the prediction process runs the 20% test set through the Neighborhood Based Collaborative Filtering Algorithm and Correspondence Mean Algorithm. The prediction errors from those prediction algorithm are allocated to each customer and compared with each user's error. Research hypothesis : Two research hypotheses are formulated in this study to test the accuracy of the classification criterion as follows. Hypothesis 1: The estimation accuracy of groups classified according to the standard deviation of each user's ratings has significant difference. To test the Hypothesis 1, the standard deviation is calculated for each user in training set which is divided 80% from MovieLens 100K dataset. Four groups are classified according to the quartile of the each user's standard deviations. It is compared to test the estimation errors of each group which results from test set are significantly different. Hypothesis 2: The estimation accuracy of groups that are classified according to the distribution of each user's ratings have significant differences. To test the Hypothesis 2, the distributions of each user's ratings are compared with the distribution of ratings of all customers in training set which is divided 80% from MovieLens 100K dataset. It assumes that the customers whose ratings' distribution are different from that of all customers would have low performance, so six types of different distributions are set to be compared. The test groups are classified into fit group or non-fit group according to the each type of different distribution assumed. The degrees in accordance with each type of distribution and each customer's distributions are tested by the test of ${\chi}^2$ goodness-of-fit and classified two groups for testing the difference of the mean of errors. Also, the degree of goodness-of-fit with the distribution of each user's ratings and the average distribution of the ratings in the training set are closely related to the prediction errors from those prediction algorithms. Through this study, the customers who have lower performance of prediction than the rest in the system are classified by those two criteria, which are set by statistical features of customers ratings in the training set, before the prediction process.

수리온 통신 안테나 장착 및 최적위치 선정을 위한 안테나 성능시험에 관한 연구 (The Study on Antenna Performancet Test for Surion Radio Installation and Optimal Positioning)

  • 노상완;이순영;김민수
    • 항공우주시스템공학회지
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    • 제14권5호
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    • pp.122-129
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    • 2020
  • 수리온은 전 방위 통신이 가능한 무전기(U/VHF-AM, VHF-FM) 장착 요구도가 있다. 이에 본 논문에서는 수리온 통신안테나 장착 및 최적위치 선정을 위한 안테나 성능시험에 관하여 다루었다. 안테나에 대한 시뮬레이션 패턴분석을 하였으며 새로운 평가기준을 만들어 커플링시험을 수행하였다. 또한 기존에 제시된 1:20의 Turn과 이격거리 비율에서 실시한 패턴비행시험 결과는 정상이었으나 장거리 비행시험에서 음성끊김 현상이 발생하였다. 이에 본 논문에서는 장거리 비행시험 결과를 사전 예측할 수 있는 최적의 비율로 1:300(15 NM)을 새롭게 제시하였다. 최종적으로 장거리 비행시험을 통하여 제시한 평가기준들의 유효성을 입증하였다. 본 연구의 결과로 수리온 기종에 대한 성능시험의 시행착오를 줄여 개발 일정단축 및 비용 절감을 예상한다. 또한 본 연구의 결과는 다른 헬리콥터 기종에 대한 통신 안테나 장착 및 품질 시험의 기준으로 사용 할 수 있을 것으로 기대된다.