• 한국멀티미디어학회논문지
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• 제22권5호
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• pp.558-572
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• 2019

Anthropomorphism is the attribution of human traits, emotions, or intentions to non-human entities. Anthropomorphic animal face masking is the process by which human characteristics are plotted on the animal kind. In this research, we are proposing a compact system which finds the resemblance between a human face and animal face using Deep Convolutional Neural Network (DCNN) and later applies morphism between them. The whole process is done by firstly finding which animal most resembles the particular human face through a DCNN based animal face classification. And secondly, doing triangulation based morphing between the particular human face and the most resembled animal face. Compared to the conventional manual Control Point Selection system using an animator, we are proposing a Viola-Jones algorithm based Control Point selection process which detects facial features for the human face and takes the Control Points automatically. To initiate our approach, we built our own dataset containing ten thousand animal faces and a fourteen layer DCNN. The simulation results firstly demonstrate that the accuracy of our proposed DCNN architecture outperforms the related methods for the animal face classification. Secondly, the proposed morphing method manages to complete the morphing process with less deformation and without any human assistance.

• Asian Journal of Innovation and Policy
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• 제9권3호
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• pp.281-307
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• 2020

A variety of approaches are being applied to improve the existing ex-ante evaluation by expert panels in publicly funded R&D. While the objective evaluation criteria are constantly being improved to screen and select the superior projects, alternative approaches such as random prioritization and logical modeling are also underway to overcome the conservative bias of reviewers and to secure disruptive innovation. This study intends to find critical implications for ex-ante evaluation of public R&D system from the comparison of Indonesia and Korea. For the comparative analysis, literature review and expert in-depth interviews are conducted on the national R&D system and the selection evaluation process. In Korea, the selection criteria of projects are legally promulgated for establishing an objective evaluation system, and at the program level, the major considerations in the planning process are specified by Presidential Decree. On the other hand, while Indonesia conducts R&D in 47 strategic fields largely by public research institutes (PRI) based on the non-competitive government contributions. This study draws out implications of institutionalizing the planning process at the level of program, and of increasing the ratio of contract-based competitive funding at the level of project in the national R&D portfolio.

• 한국과학교육학회지
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• 제28권2호
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• pp.111-119
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• 2008

과학 영재교육 대상자 선발방법으로써의 교사 추천제를 객관적으로 분석하기 위해, 과학 교사가 추천한 학생들의 과학적 태도, 탐구력, 논리적 사고력, 창의적 문제 해결력, 창의성 점수를 과학 영재원 재학생 및 일반학급 학생들의 점수와 비교하였다. 분석 결과, 과학 영재원 재학생과 교사 추천 학생은 일반 중학교 학생보다 모든 영역에서 높은 점수를 얻었으며, 과학 영재원 재학생과 교사 추천 학생 사이에는 유의미한 차이가 없었다. 이는 과학 영재학생 선발을 위해 교사 추천제를 적극적으로 활용할 필요가 있음을 시사한다.

• 유통과학연구
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• 제11권12호
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• pp.71-81
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• 2013

Purpose - This study investigated the effects of consumers' selection criteria for environment-friendly agricultural products on purchase intention and the effects of consumers' attitudes and the reliability of environment-friendly agricultural products on purchase intention by using the theory of planned behavior. Subjective norms of variables of behavioral intention, attitudes toward behavior and control of the behavior were used to create selection criteria, consumers' attitudes and reliability of environment-friendly agricultural products. The study investigated the effects of consumers' selection criteria, attitudes, and reliability of environment-friendly agricultural products on purchase intention constructing models and hypotheses of mediation and moderation between selection criteria for agricultural products and purchase intention by consumers' attitudes and reliability. Research design, data, and methodology - The findings were as follows: first, consumers' selection criteria for environment-friendly agricultural products had a significantly affirmative influence upon purchase intention. Health was the most important factor of selection criteria convenience was more important than quality and familiarity was next. Consumers' attitudes and trust had a significant influence on purchase intention. Second, testing showed that consumers' attitude and trust partially mediated selection criteria: sub-factors and purchase intention were important in selection criteria. Third, testing showed that consumers' attitude and trust had a significant moderation effect between selection criteria and purchase intention. In the test of the moderation effect between sub-factors of selection criteria and purchase intention, consumers' attitude had a significantly positive influence upon health, convenience, and familiarity, and had no significant influence upon quality and purchase intention. Consumers' trust had no significant influence upon health, convenience, and quality. Results - The study provided several theoretical implications: first, an empirical analysis was undertaken with selection criteria for environmental-friendly agricultural products, consumers' attitude, and trust to investigate subjective norms, attitude toward behavior and control of behavior based on the theory of planned behavior. Second, this study investigated both the mediation effect and moderation effect of consumers' subjective norms on attitudes toward behavior, the mediating effects of perceived behavior control and changes of behavioral intention depending upon size and direction of the variables. This study also provided several practical implications. Conclusions - First, consumption of environment-friendly agricultural products did not increase despite rapid increase of production therefore, promotion of consumption and distribution was needed considering the supply and demand of the products. Second, definite standards for selection criteria were suggested to build up consumers' attitude and trust. Consumers' attitude could be improved by factors including the brand of environment-friendly agricultural products, consistent quality, solving physiological problems caused by adverse effects of environmental problems, supplementary approaches, treatment of adverse effects by eating food, and the development and supply of products in accordance with changes of lifestyle. Finally, consumers' demand for sub-factors of selection criteria could be much higher than health, convenience, and quality of the products. Therefore, a process was needed that could continuously check consumers' needs for the products. Limitations were described at the end of the study.

• 한국컴퓨터정보학회논문지
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• 제19권9호
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• pp.197-204
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• 2014

AS(Autonomous System) 안에서 라우터들끼리 라우팅 정보를 주고 받기 위한 내부용 라우팅 프로토콜(IGP : Interior Gateway Protocol)인 RIP, EIGRP, OSPF에 대하여 metric을 이용한 경로선택 방법들이 연구되고 있으나, 학습자들이 이론으로 이해한 내용을 실습을 통해 검증하는 구현 사례는 많지 않았다. 각 라우팅 프로토콜별로 해당 토폴로지에 기반 한 Cost value를 이론적으로 계산하여 Best Path를 결정한 후, 시뮬레이터 상에서 가상망을 구현하여 각 Routing Protocol 별로 경로선택을 검증한 결과와 서로 일치함을 확인하였다. 본 논문에서 제안한 학습방안을 활용하면 라우팅 프로토콜의 경로선택 과정을 체계적으로 이해할 수 있어 우수한 학습 결과를 성취할 수 있을 것으로 기대된다.

• 한국산업경영시스템학회:학술대회논문집
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• 한국산업경영시스템학회 2002년도 춘계학술대회
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• pp.237-242
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• 2002

The sales activity of most of small manufacturing companies is based on orders of buyers. The process of promotion, receipt and selection of orders of the manufacturers is closely coupled with the load status of the production lines. The decision on whether to accept an order or not, or the selection of optimal order set among excessive orders is entirely dependent on the schedule of production lines. However, in the real world, since the production scheduling activity is mainly performed by human experts, most of small manufacturers are suffer from being unable to meet due dates, lack of rapid decision on the acceptance of new order. To cope with this problem, this paper deals with the development of an agent for selecting an optimal order set automatically. The main engine of selection agent is based on the typical job-shop scheduling model since our target domain is the injection molding company. To solve the problem, we have formulated it as IP (Integer Program) model, and it has been successfully implemented by ILOG and selection agent. And we have suggested an architecture of an agent for tackling web based order selection problems.

• 산업경영시스템학회지
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• 제25권5호
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• pp.1-8
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• 2002

The sales activity of most of small manufacturing companies is based on orders of buyers. The process of promotion, receipt and selection of orders of the manufacturers is closely coupled with the load status of the production lines. The decision on whether to accept an order or not, or the selection of optimal order set among excessive orders is entirely dependent on the schedule of production lines. However, in the real world, since the production scheduling activity is mainly performed by human experts, most of small manufacturers are suffer from being unable to meet due dates, lack of rapid decision on the acceptance of new order. To cope with this problem, this paper deals with the development of an agent for selecting an optimal order set automatically. The main engine of selection agent is based on the typical job-shop scheduling model since our target domain is the injection molding company. To solve the problem, we have formulated it as IP (Integer Program) model, and it has been successfully implemented by ILOG and selection agent. And we have suggested an architecture of an agent for tackling web based order selection problems.

• 한국지능시스템학회논문지
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• 제13권1호
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• pp.119-124
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• 2003

본 논문에서는 생체의 면역계에서 중요한 역할을 하는 세포독성 T세포의 생성과정의 하나인 긍정 선택(positive selection)과 부정 선택(negative selection)을 모델링하였다. 그리고 침입에 의한 데이터 변경과 바이러스에 의한 데이터 감염 등을 탐지할 때 가장 중요한 요소인 변경 검사 알고리즘을 개발하였다. 제안된 방법은 자기를 인식하는 MHC 인식부와 비자기를 인식하는 항원 인식부를 생성하는 알고리즘이다. 따라서 제안한 방법은 실제 면역세포와 마찬가지로 자신과 침입자 모두에 대한 인식기를 가지고 변경을 탐지하게 된다. 시뮬레이션을 통하여 자기파일의 국소가 변경되었을 때와 블록이 변경되었을 때에 대하여 두 가지 방법을 이용한 변경 검사 알고리즘의 특성과 유효성을 밝힌다

• 한국인터넷방송통신학회논문지
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• 제12권5호
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• pp.17-23
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• 2012

최근에 스펙트럼 효율과 전력절약을 위해서 협동 다이버시티 구조의 증가 최선 릴레이 선택법이 제안되었다. 그러나 최선 릴레이를 선택하는 과정에서 실제 데이터 전송 시와 채널 예측 시에 시간적인 지연이 발생하게 된다. 결국 이 지연으로 말미암아 지연된 채널 정보를 갖게 된다. 이 논문에서는 지연된 채널 정보가 증가 최선 릴레이 선택 다이버시티 구조에 미치는 영향을 해석적으로 유도하였다. 시스템 성능은 상관계수가 감소할수록 급격히 나빠짐을 알 수 있었다. 시스템 성능은 상관계수가 1에서 0.9로 감소할 때 성능 저하가 가장 컸으며, 상관계수가 점차 작아질수록 성능 저하는 다소 완만하였다.

• 한국공작기계학회논문집
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• 제18권1호
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• pp.59-67
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• 2009

The purpose of this study is to provide a decision support to select an appropriate layered manufacturing(LM) machine that suits the application of a part. Selection factors include concept model, form/fit/functional model, pattern model far molding, material property, build time and part cost that greatly affect the performance of LM machines. However, the selection of a LM is not an easy decision because they are uncertain and vague. For this reason, the aim of this research is to propose hybrid multiple attribute decision making approaches to effectively evaluate LM machines. In addition, because subjective considerations are relevant to selection decision, a fuzzy logic approach is adopted. The proposed selection procedure consists of several steps. First, we identify LM machines that the users consider After constructing the evaluation criteria, we calculate the weights of the criteria by applying the fuzzy Analytic Hierarchy Process(AHP) method. Finally, we construct the fuzzy Technique of Order Preference by Similarity to Ideal Solution(TOPSIS) method to achieve the ranking order of all machines providing the decision information for the selection of LM machines.