• Title/Summary/Keyword: Interactive Method

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A BEM/RANS interactive method for predicting contra-rotating propeller performance

  • Su, Yiran;Kinnas, Spyros A.
    • Ocean Systems Engineering
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    • v.7 no.4
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    • pp.329-344
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    • 2017
  • This paper introduces a BEM/RANS interactive scheme to predict the contra-rotating propeller (CRP) performance. In this scheme, the forward propeller and the aft propeller are handled by two separate BEM models while the interactions between them are achieved by coupling them with a RANS solver. By using the body force field and mass source field to represent the propeller in the RANS model, the number of RANS cells and the number of required RANS iterations reduce significantly. The method provides an efficient way to predict the effective wake, the steady/unsteady propeller forces, etc. The BEM/RANS interactive scheme is first applied to a CRP in both an axisymmetric manner and a non-axisymmetric manner. Results are shown in good agreement with the experimental data in moderate to high advance ratios. It is proved that the difference between the axisymmetric scheme and the non-axisymmetric scheme mainly comes from the non-axisymmetric bodies. It is also found that the error is larger at lower advance ratios. Possible explanations are given. Finally, some additional cases are tested which justifies that the non-axisymmetric BEM/RANS scheme is able to handle a podded CRP working at given inclination angles.

Train Booking Agent with Adaptive Sentence Generation Using Interactive Genetic Programming (대화형 유전 프로그래밍을 이용한 적응적 문장생성 열차예약 에이전트)

  • Lim, Sung-Soo;Cho, Sung-Bae
    • Journal of KIISE:Computing Practices and Letters
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    • v.12 no.2
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    • pp.119-128
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    • 2006
  • As dialogue systems are widely required, the research on natural language generation in dialogue has raised attention. Contrary to conventional dialogue systems that reply to the user with a set of predefined answers, a newly developed dialogue system generates them dynamically and trains the answers to support more flexible and customized dialogues with humans. This paper proposes an evolutionary method for generating sentences using interactive genetic programming. Sentence plan trees, which stand for the sentence structures, are adopted as the representation of genetic programming. With interactive evolution process with the user, a set of customized sentence structures is obtained. The proposed method applies to a dialogue-based train booking agent and the usability test demonstrates the usefulness of the proposed method.

An Interactive Image Transmission For Mobile Devices (모바일 시스템을 위한 인터랙터브 이미지 전송)

  • Lim, Nak-Won;Kim, Dae-Young;Lee, Hae-Young
    • Journal of the Korea Computer Graphics Society
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    • v.17 no.2
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    • pp.17-26
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    • 2011
  • This paper presents an interactive progressive image transmission method, which enables a remote user to interactively select and transmit preferred regions from an index image. Our enhanced quadtree decomposition using PSNR-based rules and new implicit quadtree coding provide better rate-distortion performance than previous quadtree coders as well as leading bit plane methods. An adaptive traversal of child nodes is introduced for better visual display of restored images. Depth-first traversal combined with breadth-first traversal of the quadtree to accomplish interactive transmission as presented, results in a method that provides competitive performance at a low level of computational complexity. Moreover, our decoding requires only simple arithmetic which is enabling our method to be used for real-time mobile applications.

A Real-time Interactive Shadow Avatar with Facial Emotions (감정 표현이 가능한 실시간 반응형 그림자 아바타)

  • Lim, Yang-Mi;Lee, Jae-Won;Hong, Euy-Seok
    • Journal of Korea Multimedia Society
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    • v.10 no.4
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    • pp.506-515
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    • 2007
  • In this paper, we propose a Real-time Interactive Shadow Avatar(RISA) which can express facial emotions changing as response of user's gestures. The avatar's shape is a virtual Shadow constructed from the real-time sampled picture of user's shape. Several predefined facial animations overlap on the face area of the virtual Shadow, according to the types of hand gestures. We use the background subtraction method to separate the virtual Shadow, and a simplified region-based tracking method is adopted for tracking hand positions and detecting hand gestures. In order to express smooth change of emotions, we use a refined morphing method which uses many more frames in contrast with traditional dynamic emoticons. RISA can be directly applied to the area of interface media arts and we expect the detecting scheme of RISA would be utilized as an alternative media interface for DMB and camera phones which need simple input devices, in the near future.

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An Exploration of Interaction Factors and Analysis on Interaction-Level of Synchronous Online Education in University (대학 실시간 온라인 교육에서의 상호작용 요소 탐색과 수준 분석)

  • Han, Hyeong-Jong
    • The Journal of the Korea Contents Association
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    • v.21 no.4
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    • pp.14-25
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    • 2021
  • The purpose of this study is to explore what are the interactive factors of synchronous online education in university and identify the level of interaction. This study used mixed research method. As a result of the interaction level, it was recognized that face-to-face education could be more interactive than synchronous online education. Synchronous online education could have better interactive between instructor and learner, and among learners than asynchronous online education. Factors which influencing the interaction were as follows: small group activities and scaffolding, diversification of communication channels and integration of learner's question in learning content. Detrimental elements were distance felt between instructor and learners, low intimacy among learners, content-focused lecture, restrictions on non-verbal communication, unstable systems and misusing microphones. The necessary factors to promote interaction are planning interactive class activities, etc. Based on the results, it was to suggest what kinds of efforts are needed to make interaction more effective in terms of teaching and learning method & activity, tool & system, and environment.

ZoomISEG: Interactive Multi-Scale Fusion for Histopathology Whole Slide Image Segmentation (ZoomISEG: 조직 병리학 전체 슬라이드 영상 분할을 위한 대화형 다중스케일 융합)

  • Seonghui Min;Won-Ki Jeong
    • Journal of the Korea Computer Graphics Society
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    • v.29 no.3
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    • pp.127-135
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    • 2023
  • Accurate segmentation of histopathology whole slide images (WSIs) is a crucial task for disease diagnosis and treatment planning. However, conventional automated segmentation algorithms may not always be applicable to WSI segmentation due to their large size and variations in tissue appearance, staining, and imaging conditions. Recent advances in interactive segmentation, which combines human expertise with algorithms, have shown promise to improve efficiency and accuracy in WSI segmentation but also presented us with challenging issues. In this paper, we propose a novel interactive segmentation method, ZoomISEG, that leverages multi-resolution WSIs. We demonstrate the efficacy and performance of the proposed method via comparison with conventional single-scale methods and an ablation study. The results confirm that the proposed method can reduce human interaction while achieving accuracy comparable to that of the brute-force approach using the highest-resolution data.

Reinforcement Learning Method Based Interactive Feature Selection(IFS) Method for Emotion Recognition (감성 인식을 위한 강화학습 기반 상호작용에 의한 특징선택 방법 개발)

  • Park Chang-Hyun;Sim Kwee-Bo
    • Journal of Institute of Control, Robotics and Systems
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    • v.12 no.7
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    • pp.666-670
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    • 2006
  • This paper presents the novel feature selection method for Emotion Recognition, which may include a lot of original features. Specially, the emotion recognition in this paper treated speech signal with emotion. The feature selection has some benefits on the pattern recognition performance and 'the curse of dimension'. Thus, We implemented a simulator called 'IFS' and those result was applied to a emotion recognition system(ERS), which was also implemented for this research. Our novel feature selection method was basically affected by Reinforcement Learning and since it needs responses from human user, it is called 'Interactive feature Selection'. From performing the IFS, we could get 3 best features and applied to ERS. Comparing those results with randomly selected feature set, The 3 best features were better than the randomly selected feature set.

Software Designing Simulator for Controlling Multiple-Mechanism Carrier System

  • Nakamura, Kotaro;Kumagai, Koji;Sato, Seiji;Sato, Shoichi
    • 제어로봇시스템학회:학술대회논문집
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    • 2000.10a
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    • pp.450-450
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    • 2000
  • This paper presents a software design simulation method for controlling multiple mechanism carrier system (MMCS), which is mainly used in a wrapping machine or a case packing machine. This method uses a mechanical tool-work interactive model proposed in this paper, in order to represent the interactive behaviors between some tools and a work driven by their tools, in which low effect states of a work are defined. Based on this method, a 3-D simulation system has been built. It consists of shape modeling of each device, behavior definitions of tools, and control logic using if-then expression. By applying it to a ase packing machine having about 30 mechanical devices and 100 inputs/outputs for control, the effectiveness of this method has been shown in general verification of control logic specification in an early software design phase and the possibility of smooth communication tool between mechanical and software designers.

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Computational Cost Reduction Method for HQP-based Hierarchical Controller for Articulated Robot (다관절 로봇의 계층적 제어를 위한 HQP의 연산 비용 감소 방법)

  • Park, Mingyu;Kim, Dongwhan;Oh, Yonghwan;Lee, Yisoo
    • The Journal of Korea Robotics Society
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    • v.17 no.1
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    • pp.16-24
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    • 2022
  • This paper presents a method that can reduce the computational cost of the hierarchical quadratic programming (HQP)-based robot controller. Hierarchical controllers can effectively manage articulated robots with many degrees of freedom (DoFs) to perform multiple tasks. The HQP-based controller is one of the generic hierarchical controllers that can provide a control solution guaranteeing strict task priority while handling numerous equality and inequality constraints. However, according to a large amount of computation, it can be a burden to use it for real-time control. Therefore, for practical use of the HQP, we propose a method to reduce the computational cost by decreasing the size of the decision variable. The computation time and control performance of the proposed method are evaluated by real robot experiments with a 15 DoFs dual-arm manipulator.

Influential Factors on the Interactivity in the Interactive Space II ; Focus on Interface Factors' Attributes for Supporting Behavioral Participation (상호작용 공간의 상호작용성 영향요인 II ; 인터페이스 요인의 참여행태 지원 속성 분석을 중심으로)

  • Lee, Jeong-Min
    • The Journal of the Korea Contents Association
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    • v.10 no.5
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    • pp.185-201
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    • 2010
  • Interactive space became one of the major design paradigms. For elevating the interactive effect in this, we need user-centered design methodology which uses the influential factors on the interactivity. As the second paper of three-linked studies for the interactivity in the interactive space, this research analyzed the interface factors' specific attributes for supporting behavioral participation. 'Interface' is one of three main factors on the interactivity(Intersubject/Interface/Interaction). Its role in the interactive space is to induce or support user's participations which bring the interactive changes into the designs. Qualitative case analysis was the main method and 30 cases were investigated. 'Individual analysis-Transitional description-Generalization' were the progressive steps for case analysis. As final results, 17 attributes for supporting behavioral participation were analyzed.