분산 OCSP에서의 효율적인 로드 밸런싱 기법에 관한 모델링 및 시뮬레이션

최지혜,조대호,Choi Ji-Hye,Cho Tae Ho 한국시뮬레이션학회 2004 한국시뮬레이션학회 논문지 Vol.13 No.4

The distributed OCSP (Online Certificate Status Protocol), composed of multiple responders, is a model that enhances the utilization of each responder and reduces the response time. In a multi-user distributed environment, load balancing mechanism must be developed for the improvement of the performance of the whole system. Conservative load balancing algorithms often ignore the communication cost of gathering the information of responders. As the number of request is increased, however, fail to consider the communication cost may cause serious problems since the communication time is too large to disregard. We propose an adaptive load balancing algorithm and evaluate the effectiveness by performing modeling and simulation. The principal advantage of new algorithm is in their simplicity: there is no need to maintain and process system state information. We evaluated the quality of load balancing achieved by the new algorithm by comparing the queue size of responders and analyzing the utilization of these responders. The simulation results show how efficiently load balancing is done with the new algorithm.

ANSWER - What is your diagnosis?

최지혜,Choi, Ji-Hye 대한수의사회 2009 대한수의사회지 Vol.45 No.7

탄소성적표시 건축 재료의 환경 효율성 분석 연구 - 바닥 마감재를 중심으로 -

최지혜,이윤선,김재준,Choi, Ji-Hye,Lee, Yoon-Sun,Kim, Jae-Jun 한국주거학회 2014 한국주거학회 논문집 Vol.25 No.2

In recent years, Korean government has focused on improving the environmental impact of products in order to reduce greenhouse gas emissions and to achieve their energy goals. The government has been conducting the following polices such as green procurement inducement and certification system. After carbon labeling was conducted in 2009, among a total of 1,065 items, 97 building materials have been given a certification: finishing materials items have the highest weight (56%). The increase in the certification numbers shows that there has been considerable technical efforts in the building material industry. At the awareness of carbon label and purchase of low carbon product, however, customers are aware of carbon labeling but the purchasing rate of carbon product is low. In this paper, we suggest that low carbon activities must also be considered in order to create client value by adding the concept of ecological efficiency. The objective of this study to measurer the eco-efficiency of carbon labeled building materials on the basis of environmental aspects of the product with the perspective of economy for purchasing the excellent products.

감시정찰 센서네트워크에서 제대규모 식별 기법

최지혜,권태욱,Choi, Ji-Hye,Kwon, Tae-Wook 한국군사과학기술학회 2010 한국군사과학기술학회지 Vol.13 No.3

Surveillance and reconnaissance sensor network system is an application system based on ubiquitous sensor network technology. This technique is to avoid accidental close combat, to minimize the consumption of limited military resources and personnel, and to provide battlefield situational awareness information for the unit's future combat missions. In this paper, we have proposed a echelons scale identification scheme based on information obtained from surveillance and reconnaissance sensor network system.

QUESTION - What is your diagnosis?

최지혜,Choi, Ji-Hye 대한수의사회 2009 대한수의사회지 Vol.45 No.7

개의 후두골 이형성 증후군 10례

최지혜,김혜진,김현욱,이은창,장재영,반현정,김진경,윤정희,Choi, Ji-hye,Kim, Hye-jin,Kim, Hyun-wook,Lee, Eun-chang,Jang, Jae-young,Ban, Hyun-jung,Kim, Jin-kyung,Yoon, Junghee 대한수의학회 2006 大韓獸醫學會誌 Vol.46 No.4

Caudal occipital malformation syndrome (COMS) is relatively common disease which occurs at craniocervical junction. It has been known that this syndrome was developed mainly in Cavalier King Charles spaniels, but these days there are a lot of case reports about COMS in other small breed dogs. In this report, COMS was diagnosed in ten dogs presented to Haemaru Referral Animal Hospital using MRI examination from January 2005 to April 2006. These cases were also investigated about concurrent diseases and syringomyelia was the most common type of complication, but clinical signs were nonspecific. COMS could be controlled by medical therapy with corticosteroid except cases with concurrent meningitis. It is considered that the present report could provide information regarding imaging and clinical features of COMS such as concurrent diseases, clinical signs, and prognosis in small animal practice despite of limited case numbers.

기억력 손상 마우스에서 흑미 호분층 추출물의 인지능력 개선 효과

최지혜(Ji Hye Choi),이은별(Eun Byeol Lee),장환희(Hwan Hee Jang),박용순(Youn Soon Park),이성현(Sung Hyen Lee) 한국약용작물학회 2021 한국약용작물학회지 Vol.29 No.5

인공지능 챗봇의 의인화가 챗봇과의 준사회적 상호작용에 미치는 영향 : 인지된 유사성과 사회적 현존감의 매개효과

최지혜(Ji Hye Choi),노기영(Ghee-Young Noh) 한국광고홍보학회 2022 한국광고홍보학보 Vol.24 No.4

본 연구는 인공지능 챗봇의 의인화가 챗봇과의 준사회적 상호작용에 미치는 영향을 확인해보고자 수행되었다. 그리고 사회적 행위자로서의 미디어(MASA) 패러다임을 바탕으로 챗봇을 사회적 행위자로 가정하고, 사회적 반응인 인지된 유사성과 사회적 현존감의 역할에 대해서도 살펴보았다. 총 132명의 대학생이 실험에 참여하였고, 실험 자극물인 챗봇은 시각적 의인화 단서 유무에 따라 의인화 실험 조건의 사람 외모 챗봇과 비의인화 실험 조건의 로봇 외모 챗봇 두 유형으로 제작되었다. 실험참가자는 두 실험 조건 중 하나에 무선 할당되어 한 유형의 챗봇만을 이용하였다. 연구 결과, 사람 외모 챗봇 이용자는 로봇 외모 챗봇 이용자에 비해 인지된 유사성과 사회적 현존감이 높게 나타났다. 또한 준사회적 상호작용도 높게 나타났으나, 이는 인지된 유사성과 사회적 현존감을 통해 간접적으로 나타남을 확인하였다. 본 연구는 인간-AI 챗봇 상호작용 환경에 MASA 패러다임을 적용, 어떻게 AI 기술이 사회적 행위자가 될 수 있는지를 설명하고 있으며, 이로써 인간 친화적인 인공지능 챗봇 설계를 위한 의미있는 통찰을 제공하고 있다는 점에서 의미가 있다. This study was conducted to examine the effect of AI chatbot’s anthropomorphic cue on parasocial interaction with AI chatbot. Based on the media are social actors(MASA) paradigm, chatbots were assumed to be social actors, and their social responses(i.e., perceived homophily, social presence) were also examined. A total of 132 college students participated in an experiment. Chatbots as experimental stimuli were created in two types: chatbot with human-like appearance for the anthropomorphic experimental condition and chatbot with robot-like appearance for the non-anthropomorphic experimental condition. The participants were randomly assigned to one of the two conditions. This study found that people who used the human-like chatbot reported greater levels of perceived homophily and social presence than those who used the robot-like chatbot. In addition, the level of parasocial interaction was also found to be greater, but the effect occurs indirectly through perceived homophily and social presence. The findings of this study may provide the explanation of how AI technology can be a social actor by empirically testing the MASA in the human-AI robot interaction setting, and may also provide useful insights for the design of human-friendly AI chatbot.

성취정서 적도의 내적 요인구조 확인

최지혜 ( Ji Hye Choi ) 안암교육학회 2014 한국교육학연구 Vol.20 No.1

본 연구는 대학생용 성취정서 척도의 내적 구조 확인을 통해 도구의 심리측정적 속성을 파악하기 위한 것이다. 연구 대상은4년제 대학생 227명이다. 척도의 내적 요인구조를 확인하기 위해 확인적 요인분석을 실시하였고, 경쟁모델의 비교를 통해 요인구조를 확인하였다. 성취정서 척도는 6요인 27문항으로 이루어져 있으며, 하위 요인별 내적 일관성은 .63에서 .84까지로 양호하였다. 연구 결과, 성취정서 척도는 단일차원보다는 다차원구조로 이루어져있음이 확인되었으며, 6요인 상관모델, 위계적 모델, 이인자모델로 이루어진 다차원구조 중 이인자 모델에서 가장 나은 적합도를 보였다. 이러한 연구 결과는 본 성취정서 척도가 대학생의 성취정서를 측정하는데 있어 타당하고 신뢰할 수 있는 도구임을 시사하는 것으로, 학습장면에서 대학생의 성취정서를 측정하는데 있어 유용함을 의미한다. 후속 연구를 위한 제언과 의의가 논의되었다. The present study examines the factorial structure and psychometric properties of the achievement emotion scale. Participants were 227 university students. This study tested four confirmatory factor analytic (CFA) models of the achievement emotion scale to provide validity evidence based on its internal structure. This scale consists of 27items, 6 of which reflect specific emotions during study. The internal consistency for the achievement emotion subscales approached adequate reliability ranging from .63 to .84. Results revealed that achievement emotion consists of multidimensional structure and a bifactor model, provided the best fit to our data. The results support the utility of the achievement emotion scale. Methodological and educational implications as well as directions for future research are discussed.

기술가치평가를 위한 딥러닝 기반 매출추정 연구: 해양수산업을 중심으로

최지혜(Ji-Hye Choi),안민호(Min-Ho Ahn),이찬호(Chan-Ho Lee),김민승(Min-Seung Kim),장용주(Yong-Ju Jang),이정희(Jeong-Hee Lee),성태응(Tae-Eung Sung) 한국기술혁신학회 2021 기술혁신학회지 Vol.24 No.5

최근까지 수행된 해양수산 기술평가 사업은 해양수산 R&D 우수성과의 조기발굴을 통한 기술이전과 산업진흥을 도모해 왔다. 다수의 연구에서는 기술가치의 평가결과에 가장 큰 영향을 미치는 요인 중 하나인 매출액 추정방안이 도출되어 왔으나, 현 시점에서 데이터 기반으로 딥러닝을 적용하는 연구는 존재하지 않는다. 따라서, 해양수산 분야 업종별 기업·시장 환경 특성이 반영된 KED 데이터를 활용하여, 과거 연도별 기업 재무정보를 활용하여 이후 연도 매출이 어떤 양상을 보일지 추정하는 매출추정 예측 모형을 제안하고자 한다. 본 연구는 선형회귀, 머신러닝 모델, 딥러닝 모델 간 예측 성능 비교를 통해 딥러닝 모델이 가장 우수한 성능을 보임을 확인하였고, 기존 연구의 ‘매출액’ 추정 모델과 다르게 ‘매출성장률’ 추정을 모델링하여 활용하였다는 차별성에 주목하여, 향후 지능형 가치평가 시스템으로의 적용 이외에 기업 손익구조에 기반한 경영전략 수립, 금융시장에서의 기업가치평가(수익가치), 투자 전략 수립 등 다양한 분야에서 의사결정의 보조적 자료로 활용 가능할 것으로 기대된다. Until recently, the marine fisheries technology valuation has been promoting technology transfer and industry promotion through early detection of marine fisheries R&D excellence. Previous studies have derived sales prediction methods that are one of the factors that have the greatest impact on the results of technology value, but at present, there exist no studies that apply enterprises’ financial data based on deep learning. Therefore, we would like to propose a sales estimation forecasting model that uses KED data that reflects the characteristics of companies and market environments by marine fishery industry to estimate what the sales will look like in the next year by using corporate financial information in the past year. This study confirmed that the proposed deep learning model showed the best performance. In addition to the application of the intelligent technology valuation system in the future, it is expected to be a subsidiary metric of decision-making in various fields such as establishment of business strategies based on corporate profit-and-loss structure, corporate value evaluation and investment strategy establishment.