메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색
질문

논문 기본 정보

자료유형
학술저널
저자정보
SangHyun Seo (Electronics and Telecommunications Research Institute) YongJun Kim (Electronics and Telecommunications Research Institute) HunJoo Lee (한국전자통신연구원)
저널정보
ICT플랫폼학회 JOURNAL OF PLATFORM TECHNOLOGY JOURNAL OF PLATFORM TECHNOLOGY VOL.2 NO.1
발행연도
2014.3
수록면
3 - 10 (8page)

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색
질문

초록· 키워드

오류제보하기
In this paper, we introduce two kinds of web based interactive visualization approaches that support the bot detection solution based on the game log analysis and describe the lifecycle of game resources generated and destroyed by game players. We focus on the Massively Multi-player Online Role Playing Games (MMORPGs). The systems that handle the massive data require the adaptive visualization tool. Our method is based on game maps and its coordinate system, and use the position-based game log (game money, items, kill count of NPC and so on) that is accumulated in the game server. Especially, by visualizing the statistical data as a form of game-map overlaid with traditional charts, it help game masters to understand the changes of game environment immediately and control the game balance and counteract the abnormality. In this paper, we also introduce a few specialized visualization methods that are used in the solution for bot detection. For this, we used the D3 (Data-Driven Document) JavaScript library.

목차

Abstract
1. Introduction
2. Related Work
3. Specified Charts for BotTracker
4. The Concept of Game Map based Statistics 3D Visualization
5. Conclusions and Future Work
6. Acknowledgments
7. References

참고문헌 (0)

참고문헌 신청

이 논문의 저자 정보

이 논문과 함께 이용한 논문

최근 본 자료

전체보기

댓글(0)

0

UCI(KEPA) : I410-ECN-0101-2017-004-000677282