• Journal of Digital Convergence
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• v.19 no.2
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• pp.481-488
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• 2021

This study aimed to identify and to compare the difference the changes of one-leg drop landing pattern depending on chronic ankle instability (CAI) among basketball club members. For 30 basketball club members who are currently participating in recreational basketball games in Busan Metropolitan City, 21 CAI groups and 9 CON groups were classified according to the CAI standards provided by the International Ankle Consortium. The one-leg drop landing pattern was measured with the alignment of the lower extremity and joint movement at the initial contact (IC), and the point of peak knee flexion. In addition, the one-leg drop landing pattern was tested with the muscular activity of tibialis anterior, peroneus longus, medial gastrocnemius and gluteus medius at the initial contact (IC), heel contact (HC), and the point of peak knee flexion. The results of this study showed that there was no significant difference in lower limb alignment and lower limb muscular activity among single leg drop landing. These results showed no significant differences in the one leg drop landing pattern and muscular activity depending on CAI. The further studies should classify the types of chronic ankle instability and consider the physical demands and movement characteristics depending on their playing position for providing useful information on prevention of CAI in basketball club members.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.18 no.2
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• pp.127-139
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• 2023

Compensation and pay dispersion has been rigorously scrutinized to investigate their impacts on productivity and organizational performance. However, it is difficult to find a systematic study on the systematic dynamics of compensation and pay dispersion effects specifically in the context of Korean venture companies. Venture companies should manage their organizational resources efficiently to maximize their organizational performance through pay structure by efficiently managing the inherent resources. However, we acknowledge that empirical studies on how compensation and pay dispersion affect organizational productivity and performance are rare to find in the Korean context. To overcome this supplement limitation, this study hypothesized that (1) pay and members' productivity are positively related, (2) pay dispersion and organizational productivity have U shaped relationship, and (3) organizational productivity mediates the positive relationship between compensation and organizational performance. Venture companies and professional sports teams share manifold common characteristics such as size, financial circumstances, and operational objectives. We collect 9 seasons (2013~2014 - 2021~2022) of 10 teams' data of Korean Basketball League teams to test our hypotheses. Methodologically, the assessment of our analysis is rendered with PROCESS macro model 58. The statistical results showed that all hypotheses are statistically supported. This study explains how compensation and pay dispersion affect organizational productivity and performance of venture companies in Korea.

• KOMUNHWA
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• no.27
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• pp.89-129
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• 1985

• Life and Agrochemicals
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• v.27 no.3 s.216
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• pp.41-43
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• 2006

• 월간낙농육우
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• v.35 no.11
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• pp.105-108
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• 2015

• 정보화사회
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• s.189
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• pp.40-41
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• 2007

• Proceedings of the Materials Research Society of Korea Conference
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• 1993.05a
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• pp.98-99
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• 1993

• Monthly Duck's Village
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• s.198
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• pp.70-73
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• 2019

• Proceedings of the Korean Society of Computer Information Conference
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• 2021.07a
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• pp.617-620
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• 2021

우리나라는 온라인 게임 개발의 글로벌 리더로서 MMORPG 장르와 캐주얼 아케이드 장르를 중심으로 다양한 게임을 만들어왔다. 하지만 MMORPG와 캐주얼 아케이드 게임의 과도한 경쟁은 장르의 편중 현상을 가져오게 되었고, 신선하고 새로운 재미를 기대하는 플레이어들의 요구와 결합하여 FPS(First Person Shooting) 장르나 스포츠 게임 장르 등의 새로운 장르 게임에 대한 연구와 개발로 이어졌다. 이러한 시대적 흐름 속에 대한민국 스포츠게임 개발 선구자인 조이시티는 길거리 농구 게임인 '프리스타일'을 개발하여 엄청난 화제를 불러일으켰고, 많은 개발사 및 개발자들에게 큰 영감을 선사하였다. 프리스타일의 후속작인 프리스타일2는 길거리 농구 게임의 재미를 더욱 현실감 있게 제공하고자 개발된 캐주얼 스포츠 장르 게임으로, 본 논문에서는 프리스타일2의 게임플레이 개발 사례를 통해 캐주얼 스포츠 장르의 개발 방법에 대한 한 예를 제시하고자 한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.11a
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• pp.475-477
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• 2022

최근 강화 학습을 적용한 게임 AI 에 대한 연구가 활발히 진행되고 있다. 하지만 대부분 상용게임은 유한 상태 머신(Finite State Machine, FSM)을 이용한 스크립트 기반 AI 를 사용하기 때문에 복잡한 환경의 게임에서 불안정한 상태로 인해 적절한 강화 학습의 수행이 어렵다. 따라서 본 논문에서는 상용 게임 강화 학습 적용을 위하여 상태 정규화 및 Dense 보상 기반 강화 학습 기법을 제안한다. 제안한 기법을 상용 농구 게임에 적용하고 학습된 모델의 성능을 기존 FSM 기반 AI 와 비교를 통해 성능이 약 80% 증가한 결과를 확인하였다.