국산 캐릭터를 테마로 한 어린이 실내 테마파크의 현황 및 시장전략에 관한 기초연구

박성식(Park, Seongsik) 한국만화애니메이션학회 2012 만화애니메이션연구 Vol.- No.28

본 연구는 문화콘텐츠 비즈니스의 한 분야인 테마파크 비즈니스와 관련하여, 기존의 대규모 야외 복합 테마파크 중심의 접근에서 벋어나 소규모?소자본 전략의 실내 테마파크를 지향하는 흐름에 주목하고 있다. 기존의 대규모 야외 복합 테마파크가 수천억 원 규모의 자본과 고난이도의 기술력, 최신 운영 노하우 등을 필요로 함으로써 큰 리스크와 함께 높은 신규 진입장벽을 가지고 있는 것에 반해, 최근의 실내 테마파크들은 효율적인 리스크 관리와 탄력적인 시장전략으로 시장진입에 성공하고 있기 때문이다. 본 연구에서는 이러한 실내 테마파크들 가운데 새로운 시장인 국산 캐릭터를 테마로 한 어린이 실내 테마파크 시장의 현황을 살펴보고, 국산 캐릭터의 프로퍼티 가치 확장과 국내 테마파크 시장의 확산이라는 두 가지 확장의 측면에서 이 시장의 시장전략을 살펴보고자 한다. 이를 위해 테마파크에 관한 선행연구들을 검토하여 공간적 분류와 테마별 분류, 주 사용자층에 따른 분류 등을 기준으로 국내에 존재하는 테마파크의 유형을 나누어보았다. 또한 국산 캐릭터를 테마로 한 어린이 실내 테마파크 가운데 수도권 소재 5개소를 직접 방문하여 현황조사를 실시하였고, 수도권 소재 2개소와 지방 4개소는 업체 담당자를 통해 현황자료를 입수하여 분석하였다. 또 올 4월 25일 신규 개관한 ‘디보빌리지’ 청계천점을 방문한 관람객을 대상으로 만족도 조사를 시행하여 분석하였다. 이를 통해 현재 국산 캐릭터를 테마로 한 어린이 실내 테마파크 비즈니스의 구조를 분석하고 수행중인 시장전략의 유효성을 분석할 수 있는 토대를 제시하여 보았다. 본 연구를 통하여 테마파크 비즈니스의 틈새시장이라 할 수 있는 실내 테마파크 비즈니스에 대한 체계적이고 심도 있는 논의의 단초를 마련하여 소규모 지역밀착형 실내 테마파크들이 국내 테마파크 산업의 유력한 비즈니스 모델로 연구될 수 있기를 기대한다. 또한 캐릭터 비즈니스의 측면에서도 국산 애니메이션 캐릭터들의 프로퍼티 가치의 공간적?스토리텔링적 확장의 새로운 모델을 정립하는 계기가 될 수 있기를 바란다. Regarding the theme park business as an area of cultural content business, this study focuses on the trend of pursuing indoor theme parks as a small-scale?small capital strategy escaped from the existing approach oriented to large-scale outdoor complex theme parks. It is because although existing large-scale outdoor complex theme parks require the capital with the scale of hundreds of billion won and also high-level technique and the latest operational know-how that they have a great barrier for new entry as well as enormous risk, the rent indoor theme parks succeed in market entry with efficient risk management and flexible market strategies. Thereupon, this study examines the current status of the children’s indoor theme park market with Korean characters as their theme as a new market among the indoor theme parks and also investigates the market strategies of this market in the two aspects of expansion: the expansion of Korean characters’ property value and the expansion of the local theme park market. For that, this article reviewed the advanced researches on theme parks and divided the types of theme parks existing in Korea with the criteria of classification by space and theme or classification by main users. Also, among the children’s indoor theme parks with Korean characters as their theme, this study visited five ones located in the capital area to examine the current status. And about two located in the capital area and also four in the local area, the current data were received from the persons in charge of the companies for analysis. Also, with the subjects of spectators visiting the ‘DIBO VILLAGE, Cheonggye-cheon’ newly opened on April 25th, 2012, the research on satisfaction was conducted for analysis. Through that, this study analyzed the structure of the existing children’s indoor theme park business with Korean characters as their theme and suggested the ground to analyze the effectiveness of market strategies being implemented. It is expected that this study will establish the clues of systematic and profound discussion for the indoor theme park business that can be said to be the niche market of the theme park business and allow the small-scale areal indoor theme parks to be examined as a significant business model for the local theme park industry. In the aspect of character business as well, it is expected that this will give a chance to establish a new model of spatial?storytelling expansion in terms of the property value of Korean animation characters.

Removal of Alpha-Gal Epitopes from Porcine Aortic Valve and Pericardium using Recombinant Human Alpha Galactosidase A

Park, Seongsik,Kim, Woong-Han,Choi, Sun-Young,Kim, Yong-Jin The Korean Academy of Medical Sciences 2009 JOURNAL OF KOREAN MEDICAL SCIENCE Vol.24 No.6

<P>It has been reported that the immune response due to α-Gal epitopes is an important factor in tissue valve failure. The elimination of the interaction between the natural anti-Gal antibodies and α-gal epitopes on the xenografts is a prerequisite to the success of xenografts in humans. Previously, we reported that the green coffee bean α-galactosidase could remove all α-Gal epitopes from cell surface of porcine aortic valve and pericardial tissue, but it has limitations on cost effectiveness. In this study we wanted to know whether the recently produced recombinant human α-galactosidase A has the same effective enzymatic activity as green coffee bean α-galactosidase in removing α-Gal epitopes from the same tissues. After treating fresh porcine aortic valve and pericardial tissue with recombinant α-galactosidase A, each sample was stained with <I>Griffonia simplicifolia</I> type I isolectin B4 indirect immunoperoxidase avidin-biotin technique. We then examined whether the α-Gal epitopes were reduced or abolished in each consecutive concentration of recombinant α-galactosidase A by comparing the degree of the <I>Griffonia simplicifolia</I> isolectin B4 staining. As a result, the recombinant α-galactosidase A could remove cell surface α-Gals on porcine aortic valve and pericardial tissue as effectively as green coffee bean α-galactosidase.</P>

Programming by Demonstration Using the Teleimpedance Control Scheme: Verification by an sEMG-Controlled Ball-Trapping Robot

Park, Seongsik,Lee, Woongyong,Chung, Wan Kyun,Kim, Keehoon IEEE 2019 IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS - Vol.15 No.2

<P>Impedance control allows robots to manipulate physical interactions delicately. However, issues associated with path planning and impedance remain unresolved. Herein we propose a path and impedance planning method for impedance control in a robot based on programming by demonstration through telemanipulation using a surface electromyogram. We considered a task that requires quick and precise adjustment of path and impedance, that is, ball trapping. We implemented a teleoperated robot that can deliver an operator's impedance as well as position during the ball trapping task to the slave side. The operators were asked to perform demonstrations of ball-trapping tasks using the implemented teleoperated robot, where the slave side is a vertical robot with one degree of freedom. The path and impedance were recorded and programmed as control input profiles from a set of successful demonstrations using Gaussian mixture regression. The result showed that using the human demonstration, the robot could learn how to catch a dropped ball without rebounding.</P>

새로운 방식의 BSB(brain-state-in-a-box) 신경망 설계

윤성식(Seongsik Yoon),박주영(Jooyoung Park),박대희(Daihee Park) 대한전기학회 1995 대한전기학회 학술대회 논문집 Vol.1995 No.7

오픈 도메인 QA를 위한 tf-idf의 정보 검색 성능 및 하드웨어 요구사항 분석

박성식(Seongsik Park),윤성로(Sungroh Yoon) 대한전자공학회 2020 대한전자공학회 학술대회 Vol.2020 No.8

Open―domain question answering (QA) is a natural language processing (NLP) task that predicts an answer to the given question with knowledge base. It is an intriguing and challenging NLP task that requires multiple parts of NLP. Generally, open―domain QA models consist of information retrieval models, which select the related information in the knowledge base, and a machine reader, which generates an answer based on the question and selected information. Thus, the information retrieval models have significant effects on performance and efficiency of the open―domain QA model. In this paper, to Investigate performance and requirements of the information retrieval model, we analysis the retrieval models in open―domain QA tasks. With various experiments, we showed the retrieval performance on the various configurations. In addition, we provides hardware requirements for the retrieval model including model size, required amount of data load, and operations.

개체-문맥 간 상호 주의 집중을 이용한 문서 단위 관계 추출

박성식(Seongsik Park),김학수(Harksoo Kim) 한국정보과학회 2020 한국정보과학회 학술발표논문집 Vol.2020 No.7

주의 집중 방법을 이용한 개체명 인식

박성식(Seongsik Park),김학수(Harksoo Kim) 한국정보과학회 2018 한국정보과학회 학술발표논문집 Vol.2018 No.6

Long Short Term Memory 모델 기반 Case Study를 통한 낙동강 하구역의 용존산소농도 예측

박성식(Seongsik Park),김경회(Kyunghoi Kim) 한국해안해양공학회 2021 한국해안해양공학회 논문집 Vol.33 No.6

본 연구에서는 LSTM 모델을 활용하여 낙동강 하구역의 DO 농도 예측을 위한 최적 모델 조건과 적합한 예측변수를 찾기 위한 Case study를 수행하였다. 모델 매개변수 case study 결과, Epoch = 300과 Sequence length = 1에서 상대적으로 높은 정확도를 보였다. 예측변수 case study 결과, DO와 수온을 예측변수로 했을 때 가장 높은 정확도를 보였으며, 이는 DO 농도와 수온의 높은 상관성에 기인한 것으로 판단된다. 상기 결과로부터 낙동강 하구역의 DO 농도 예측에 적합한 LSTM 모델 조건과 예측변수를 찾을 수 있었다. In this study, we carried out case study to predict dissolved oxygen (DO) concentration of Nakdong river estuary with LSTM model. we aimed to figure out a optimal model condition and appropriate predictor for prediction in dissolved oxygen concentration with model parameter and predictor as cases. Model parameter case study results showed that Epoch = 300 and Sequence length = 1 showed higher accuracy than other conditions. In predictor case study, it was highest accuracy where DO and Temperature were used as a predictor, it was caused by high correlation between DO concentration and Temperature. From above results, we figured out an appropriate model condition and predictor for prediction in DO concentration of Nakdong river estuary.

기계학습 모형 기반 진해만 용존산소농도 및 빈산소수괴 발생 예측

박성식(Seongsik Park),김병국(Byeong Kuk Kim),김경회(Kyunghoi Kim) 한국해안해양공학회 2022 한국해안해양공학회 논문집 Vol.34 No.3

본 연구에서는 진해만의 단일 정점 장기 모니터링 자료를 사용하여 LSTM 모형을 이용한 DO 농도 예측 및 결정 트리 모형을 이용한 빈산소수괴 발생 예측 연구를 수행하였다. LSTM을 이용한 DO 농도 예측 결과, Hidden node의 수가 증가할수록 모형의 복잡도가 증가하여 많은 Epoch을 요구하는 모습을 보였으며, 예측 시간 간격이 증가할수록 긴 Sequence length에서 높은 정확도를 보였다. 결정 트리를 이용한 빈산소수괴 발생 예측 결과, 30 day 예측에서 빈산소수괴 미발생 예측 정확도는 6 6 .1%로 발생 예측 정확도의 37.5%보다 상대적으로 높게 나타났다. 이는 결정 트리 모형이 DO 농도를 관측값보다 고평가하여 나타난 결과로 판단된다. We carried out studies on prediction in concentration of dissolved oxygen (DO) with LSTM model and prediction in occurrence of hypoxia water mass (HWM) with decision tree. As results of study on prediction in DO concentration, a large number of Hidden node caused high complexity of model and required enough Epoch. And it was high accuracy in long Sequence length as prediction time step increased. The results of prediction in occurrence of HWM showed that the accuracy of nonHWM case was 66.1% in 30 day prediction, it was higher than 37.5% of HWM case. The reason is that the decision tree might overestimate DO concentration.

굴 패각 소성재를 이용한 연안 오염 퇴적물 내의 인산염 제거 연구

박성식(Seongsik Park),우희은(Hee Eun Woo),정일원(Ilwon Jeong),이인철(In-Cheol Lee),김경회(Kyunghoi Kim) 한국해양환경·에너지학회 2019 한국해양환경공학회 학술대회논문집 Vol.2019 No.5