• 제목/요약/키워드: Online update

검색결과 81건 처리시간 0.023초

배터리 모델 파라미터의 온라인 업데이트 기술 복잡도와 추정 정확도 비교 및 분석 (A Comparative Analysis of Online Update Techniques for Battery Model Parameters Considering Complexity and Estimation Accuracy)

  • 한해찬;노태원;이병국
    • 전력전자학회논문지
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    • 제24권4호
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    • pp.286-293
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    • 2019
  • This study compares and analyzes online update techniques, which estimate the parameters of battery equivalent circuit models in real time. Online update techniques, which are based on extended Kalman filter and recursive least square methods, are constructed by considering the dynamic characteristics of batteries. The performance of the online update techniques is verified by simulation and experiments. Each online update technique is compared and analyzed in terms of complexity and accuracy to propose a suitable guide for selecting algorithms on various types of battery applications.

MMORPG의 버전업 전략을 통한 이용자 유지: 시뮬레이션 기법을 활용한 업데이트와 CRM전략 분석 (Simulation Analysis of Version Up Strategy for Holding Online Game Customers through Update and CRM)

  • 노태우;백수정;이상근
    • 한국정보시스템학회지:정보시스템연구
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    • 제17권4호
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    • pp.281-299
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    • 2008
  • An online game is popular topic due to the increased total online game market volume nowadays. Even though many studies on an online game are released, most studies have used survey method that reveal only section of the situation like a snapshot. For this reason, previous studies have a little limitation that does not show dynamically changing issues like a product life cycle and change in customer's satisfaction. Because of this, we researched on an online game with the system dynamic model which can show dynamic simulation to analysis time series data. We chose MMORPG (Massively Multi-play Online Role Playing Game) in sort of an online game because it has many absorbing factors and enthusiastic users. We assumed that the game developer is ready for updated version game and release that periodically and focused on dormant users who used to be enthusiastic about MMORPG and designed simulation model which analyze how to influence of update and CRM strategy on users. The simulation results showed that the update has positive influences to gather new users and hold established users and CRM strategies help to prevent dormant users from transferring to rivals to offer them re-absorbing factors. Through this study, we confirmed importance of update on a online game and suggested the necessity to introduce CRM strategy in an online game market.

온라인게임을 위한 무 정지 업데이트 기법의 연구 (A Study of Non-Disruptive Update Scheme for Online Game)

  • 강상용;한정현
    • 한국멀티미디어학회논문지
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    • 제17권11호
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    • pp.1307-1312
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    • 2014
  • Online games are virtual space where it connects individual users through network connection to offer enjoyment of play games and game developer who service online games have to develop new contents and provide them to users to extend life of their service. Typically, in order to update new contents, all service companies have maintenance schedule to stop the game service for a while to update both server and client applications. Usually this process takes quite amount of time and users do not have any other choice but disconnected from server and wait until it is over. The purpose of this thesis is to describe the advantages of new design system which will allows users to continue to play the game even during the update. The main focus of this design is to make users feel more convenience in online gaming experience by move client from previous server to new server while users are still playing. If they can to connect current client with new server without any certificate validation process while users information from the client can automatically pass through to the new server, users may not need to experience maintenance for new contents update.

MMORPG의 Version Up 전략을 통한 이용자 유지 - System Dynamics 기법을 활용한 업데이트(Update)와 CRM전략 분석 -

  • 노태우;백옥희;이상근
    • 한국경영정보학회:학술대회논문집
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    • 한국경영정보학회 2008년도 춘계학술대회
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    • pp.383-393
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    • 2008
  • Online games are the popular topic due to the increased total online game market volume nowadays. And many studies on online games are released. But most studies used the questionnaire method that reveals only section of the situation like a snapshot. For this reason, previous studies have a little limitation that does not show dynamical changing issues like a product life cycle and changes in customer's mind Because of this, we studied on online games with the system dynamic model which can show dynamic simulations to analysis time series data. We chose MMORPG (Massively Multi-play Online) RPG (Role Playing Game) in sort of online games because it has many absorbing factors and enthusiastic users. We designed the simulation model which analyzes the influences of update and CRM strategy on users. We put the game developer who is ready for updated version game and released that periodically and focused on dormant users who used to be enthusiastic about MMORPG. The simulation results showed that the update has positive influences on new users gathering and hold established users. And CRM strategies help to prevent dormant users from transferring to rivals by offering them re-absorbing factors. Through this study, we confirmed the importance of update on online games and the necessity of introducing CRM strategy in the online game market.

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다충신경망을 위한 온라인방식 학습의 개별학습단계 최적화 방법 (Local-step Optimization in Online Update Learning of Multilayer Perceptrons)

  • Tae-Seung, Lee;Ho-Jin, Choi
    • 한국정보과학회:학술대회논문집
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    • 한국정보과학회 2004년도 가을 학술발표논문집 Vol.31 No.2 (2)
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    • pp.700-702
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    • 2004
  • A local-step optimization method is proposed to supplement the global-step optimization methods which adopt online update mode of internal weights and error energy as stop criterion in learning of multilayer perceptrons (MLPs). This optimization method is applied to the standard online error backpropagation(EBP) and the performance is evaluated for a speaker verification system.

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점진적 중심 갱신을 이용한 deep support vector data description 기반의 온라인 비정상 탐지 알고리즘 (Online anomaly detection algorithm based on deep support vector data description using incremental centroid update)

  • 이기배;고건혁;이종현
    • 한국음향학회지
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    • 제41권2호
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    • pp.199-209
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    • 2022
  • 일반적인 비정상 탐지 알고리즘은 사전 데이터를 이용하여 학습된다. 따라서 시간에 따른 정상 데이터의 특징이 변화되는 경우에 기존의 배치 학습 기반 알고리즘의 성능 저하가 불가피하다. 본 논문에서는 정상 데이터의 점진적 특징 변화를 고려할 수 있는 온라인 비정상 탐지 알고리즘을 제안한다. 제안하는 알고리즘은 단일 클래스 분류 모델에 기반하며 오프라인 및 온라인 단계의 학습 과정을 포함한다. 제안된 알고리즘의 오프라인 학습 단계에서는 사전 데이터가 잠재 공간의 중심에 근접하도록 학습하고, 이후 온라인 학습단계에서는 신규 데이터에 의한 점진적 잠재 공간의 중심을 갱신하고, 갱신된 중심을 기준으로 계속 학습을 진행한다. 공개된 수중 음향 데이터를 이용한 실험결과 제안된 온라인 비정상 탐지 알고리즘은 점진적 중심 갱신 및 학습을 위해 단지 2 % 정도의 추가 학습시간이 소요되는 것으로 확인되었다. 반면에 시변 정상데이터가 수신되는 경우에 오프라인 학습 모델과 비교하여 19.10 % 개선된 Area Under the receiver operating characteristic Curve(AUC) 성능을 보였다.

온라인 게임 콘텐츠 업데이트의 효과에 관한 탐색적 연구 (An Exploratory Study on the Impact of Contents Updates in Online Games)

  • 김태웅;김대영;박성택
    • 디지털융복합연구
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    • 제13권10호
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    • pp.147-155
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    • 2015
  • 본 연구의 목적은 시장에 출시된 온라인 게임의 운영과정에서 오류를 수정하고 게임성능을 제고하기 위해 제공하는 콘텐츠 업데이트 또는 패치서비스가 실질적으로 게이머의 플레잉 시간에 영향을 미치는지 여부를 계량적으로 분석해 보는 데에 있다. 이를 위해 온라인게임 개발회사가 게임콘텐츠와 관련하여 추가하는 콘텐츠 업데이트를 두 가지 유형으로 구분하여 업데이트 후 플레잉 시간에 통계적으로 유의한 영향을 미치는지 여부를 회귀분석을 이용하여 분석하였다. 분석 결과, 콘텐츠 업데이트 외에 추가적인 독립변수로 설정한 출시 후 경과시간은 플레잉 시간 변동에 음의 유의한 영향을 미치는 것을 나타났지만, 새로운 게이머들을 유인하고 기존 게이머들의 플레잉 시간을 증가시키기 위해 제공하는 콘텐츠 생성이나 조절은 플레잉 시간 증가에 유의한 영향을 미치지 않은 것으로 나타났다. 연구결과가 제시하는 게임 디자인 측면에서의 시사점을 결론으로 제시하였다.

Laser Spot Detection Using Robust Dictionary Construction and Update

  • Wang, Zhihua;Piao, Yongri;Jin, Minglu
    • Journal of information and communication convergence engineering
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    • 제13권1호
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    • pp.42-49
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    • 2015
  • In laser pointer interaction systems, laser spot detection is one of the most important technologies, and most of the challenges in this area are related to the varying backgrounds, and the real-time performance of the interaction system. In this paper, we present a robust dictionary construction and update algorithm based on a sparse model of background subtraction. In order to control dynamic backgrounds, first, we determine whether there is a change in the backgrounds; if this is true, the new background can be directly added to the dictionary configurations; otherwise, we run an online cumulative average on the backgrounds to update the dictionary. The proposed dictionary construction and update algorithm for laser spot detection, is robust to the varying backgrounds and noises, and can be implemented in real time. A large number of experimental results have confirmed the superior performance of the proposed method in terms of the detection error and real-time implementation.

Online Evolution for Cooperative Behavior in Group Robot Systems

  • Lee, Dong-Wook;Seo, Sang-Wook;Sim, Kwee-Bo
    • International Journal of Control, Automation, and Systems
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    • 제6권2호
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    • pp.282-287
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    • 2008
  • In distributed mobile robot systems, autonomous robots accomplish complicated tasks through intelligent cooperation with each other. This paper presents behavior learning and online distributed evolution for cooperative behavior of a group of autonomous robots. Learning and evolution capabilities are essential for a group of autonomous robots to adapt to unstructured environments. Behavior learning finds an optimal state-action mapping of a robot for a given operating condition. In behavior learning, a Q-learning algorithm is modified to handle delayed rewards in the distributed robot systems. A group of robots implements cooperative behaviors through communication with other robots. Individual robots improve the state-action mapping through online evolution with the crossover operator based on the Q-values and their update frequencies. A cooperative material search problem demonstrated the effectiveness of the proposed behavior learning and online distributed evolution method for implementing cooperative behavior of a group of autonomous mobile robots.

Digital Literacy Skills and Utilization of Online Platforms for Teaching by LIS Educators in Universities in Rivers State, Nigeria

  • David-West, Boma Torukwein
    • International Journal of Knowledge Content Development & Technology
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    • 제12권4호
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    • pp.105-117
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    • 2022
  • The study investigated digital literacy skills and utilization of online platforms for teaching by LIS educators in universities in Rivers State, Nigeria. The study was undertaken as a descriptive survey design. Three research questions and three hypotheses guided this study. The population of the study was twenty-six Lecturers from the three universities in Rivers State where library and information science are offered. The twenty-six constitute the sample size. Census sampling technique was adopted for the study. The instrument titled Digital Literacy Skills and Utilization of Online Platform for Teaching Questionnaire (DLSOPUQ) was used to elicit information from the respondents. Twenty-six copies of the questionnaire were administered and retrieved. Mean (${\bar{x}}$) was used to analyze the research questions and the null hypotheses was tested with t-test at 0.05 level of significance. The study revealed that there is no significant difference between digital literacy and utilization of online platforms for teaching by LIS educators in universities in Rivers State. Further findings revealed that LIS educators do not have the necessary skills to navigate the online environment for teaching without assistance. In conclusion LIS educators should be innovative and update their skills to meet up with global practice. It was recommended among others that LIS educators should be trained and retrained by the university management to cope with online teaching and provision of the right infrastructure by governments for effectives teaching and learning process.