• Asia pacific journal of information systems
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• 제29권2호
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• pp.181-202
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• 2019

The purpose of this study is to explore the effect of different types of simultaneous presentation (i.e., reviewer information, textual and visual content, and similarity between textual-visual contents) on review usefulness and review enjoyment in online restaurant reviews (ORRs), as they are interrelated yet have rarely been examined together in previous research. By using Latent Dirichlet Allocation (LDA) topic modeling and state-of-the-art machine learning (ML) methodologies, we found that review readability in textual content and salient objects in images in visual content have a significant impact on both review usefulness and review enjoyment. Moreover, similarity between textual-visual contents was found to be a major factor in determining review usefulness but not review enjoyment. As for reviewer information, reputation, expertise, and location of residence, these were found to be significantly related to review enjoyment. This study contributes to the body of knowledge on ORRs and provides valuable implications for general users and managers in the hospitality and tourism industries.

• Educational Technology International
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• 제25권1호
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• pp.1-25
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• 2024

This study aims to analyze the impact of learners' usability perceptions of topic modeling-based visual feedback and generative AI interpretation on reflection levels in online discussions. To achieve this, we asked 17 students in the Department of Korean language education to conduct an online discussion. Text data generated from online discussions were analyzed using LDA topic modeling to extract five clusters of related words, or topics. These topics were then visualized in a network format, and interpretive feedback was constructed through generative AI. The feedback was presented on a website and rated highly for usability, with learners valuing its information usefulness. Furthermore, an analysis using the non-parametric Mann-Whitney U test based on levels of usability perception revealed that the group with higher perceived usability demonstrated higher levels of reflection. This suggests that well-designed and user-friendly visual feedback can significantly promote deeper reflection and engagement in online discussions. The integration of topic modeling and generative AI can enhance visual feedback in online discussions, reinforcing the efficacy of such feedback in learning. The research highlights the educational significance of these design strategies and clears a path for innovation.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2001년도 ICCAS
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• pp.88.3-88
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• 2001

In this paper, an on-line multi-sensor visual inspection technique for seamless steel pipe´s straightness is developed. The basic principle of the visual measuring method is detailed. The modeling of visual sensor, measurement system and data processing are presented. In order to test the accuracy of the multi-sensor visual inspection, an experiment inspecting the straightness of a 1500mm long seamless steel pipe is made. The experiment results show that the visual inspection technique can achieve on-line measurement and offers high precision and stability.

• 대한산업공학회지
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• 제42권6호
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• pp.377-385
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• 2016

The previous Adaptive Control of Thought-Rational (ACT-R) cognitive architecture model has a limitation in that it cannot accurately predict human visual search strategy, because time effect, one of important human cognitive features, is not considered. Thus, the present study proposes ACT-R cognitive modeling that contains the impact of time using a revised utility system in the ACT-R model. Then, the validation of the model is performed by comparing results of the model with eye-tracking experimental data and SEEV-T (SEEV-Time; SEEV model which considers time effect) model in "Where's Wally" game. The results demonstrate that the model data fit fairly well with the eye-tracking data ($R^2=0.91$) and SEEV-T model ($R^2=0.93$). Therefore, the modeling method which considers time effect using a revised utility system should be used in predicting the human visual search paradigm when the available time is limited.

• 한국멀티미디어학회논문지
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• 제11권6호
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• pp.746-754
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• 2008

A 3D stereoscopic image is generated by interdigitating every scene with video editing tools that are rendered by two cameras' views in 3D modeling tools, like Autodesk MAX(R) and Autodesk MAYA(R). However, the depth of object from a static scene and the continuous stereo effect in the view of transformation, are not represented in a natural method. This is because after choosing the settings of arbitrary angle of convergence and the distance between the modeling and those two cameras, the user needs to render the view from both cameras. So, the user needs a process of controlling the camera's interval and rendering repetitively, which takes too much time. Therefore, in this paper, we will propose the 3D stereoscopic image editing system for solving such problems as well as exposing the system's inherent limitations. We can generate the view of two cameras and can confirm the stereo effect in real-time on 3D modeling tools. Then, we can intuitively determine immersion of 3D stereoscopic image in real-time, by using the 3D stereoscopic image preview function.

• 디지털산업정보학회논문지
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• 제12권1호
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• pp.27-33
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• 2016

In this study we propose a method for 3D landform reconstruction and object modeling method by generating contour lines on the map using a depth sensor which abstracts characteristics of geological layers from the depth map. Unlike the common visual camera, the depth-sensor is not affected by the intensity of illumination, and therefore a more robust contour and object can be extracted. The algorithm suggested in this paper first abstracts the characteristics of each geological layer from the depth map image and rearranges it into the proper order, then creates contour lines using the Bezier curve. Using the created contour lines, 3D images are reconstructed through rendering by mapping RGB images of the visual camera. Experimental results show that the proposed method using depth sensor can reconstruct contour map and 3D modeling in real-time. The generation of the contours with depth data is more efficient and economical in terms of the quality and accuracy.

• 한국지리정보학회지
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• 제6권2호
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• pp.65-79
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• 2003

본 연구에서는 지리정보시스템(GIS)을 사용하여 Visual MODFLOW 지하수 유동 모델링 툴에 필요한 입력 인자(자료)를 과학적으로 만들어줄 뿐만 아니라, 모델링을 위해 입력된 인자들과 모델링 후 생성된 결과물들을 DB화하고 이를 체계적으로 관리할 수 있도록 하는 Visual MODFLOW 지하수 유동 모델링을 위한 GIS 기반 전 후처리기를 개발하였다. 이 전 후처리기의 모듈로서 가장 특징적인 것은 모델구역 내에서 관정 주변에 상대적으로 조밀하게 즉, 셀의 크기가 다양한 그리드를 GIS ArcView에서 자동 또는 반자동으로 형성하는 툴을 개발하였다는 것이다. 모델링 구역 내에서 다양한 경계조건(boundary condition)을 반영한 DXF 생성을 위한 툴 개발도 들 수 있다. 아울러 2차원인 ArcView를 이용하여 3차원 수리지질구조를 생성하고, MODFLOW 프로그램의 입출력 자료형태와 동일한 위상구조를 유지한 채 전 후처리하도록 한 것은 이 연구의 가장 큰 성과이다.

• 대한인간공학회지
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• 제31권6호
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• pp.705-713
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• 2012

Objective: The aim of this study is to predict human visual target search using ACT-R cognitive architecture in real scene images. Background: Human uses both the method of bottom-up and top-down process at the same time using characteristics of image itself and knowledge about images. Modeling of human visual search also needs to include both processes. Method: In this study, visual target object search performance in real scene images was analyzed comparing experimental data and result of ACT-R model. 10 students participated in this experiment and the model was simulated ten times. This experiment was conducted in two conditions, indoor images and outdoor images. The ACT-R model considering the first saccade region through calculating the saliency map and spatial layout was established. Proposed model in this study used the guide of visual search and adopted visual search strategies according to the guide. Results: In the analysis results, no significant difference on performance time between model prediction and empirical data was found. Conclusion: The proposed ACT-R model is able to predict the human visual search process in real scene images using salience map and spatial layout. Application: This study is useful in conducting model-based evaluation in visual search, particularly in real images. Also, this study is able to adopt in diverse image processing program such as helper of the visually impaired.

• 한국정보통신학회논문지
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• 제4권5호
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• pp.919-930
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• 2000

본 논문은 정수계획 문제로 수리모형화 되는 선박운항 일정계획 문제에 대한 컴퓨터 그래픽기반의 상호대화식 모델링 시스템의 개발에 관해서 논한다. 선박운항 일정계획 문제는 "최대의 운임수익을 얻기 위하여 선박과 화물을 적절히 배정하는 문제"로 요약되며 수리모형과 해법에 대한 많은 연구가 있어왔다. 1970년 후반부터 컴퓨터의 발전에 힘입어 수학적 모델링 뿐만 아니라 컴퓨터 그래픽을 활용한 시각적 상호대화식 모델링에 관한 연구가 시도되었고 현재는 MS/OR(management Science / Operational Research) 및 경영정보시스템(Management Information System : MIS)의 중요한 한 분야가 되었다. 시각적 상호대화식 모델링(Visual Interactive Modeling : VIM)이란 자료의 입력과 모델의 생성 및 해의 표현에 이르는 모델링 생명주기 전체에 걸쳐 의사결정자가 직접 개입하여 의사결정자가 원하는 해를 얻는 과정을 말한다. 본 논문에서는 선박운항일정계획 문제에 있어 컴퓨터 그래픽을 이용한 자료의 입력, 모델의 생성 및 검증, 적절한 해법의 선택 그리고 해의 표현 방법을 제안하고 개발된 프로토타입 시스템을 소개한다.시스템을 소개한다.

• 한국전자통신학회논문지
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• 제11권11호
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• pp.1069-1076
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• 2016

최근 비쥬얼 센서 기술의 발달로 센서 네트워크에 영상을 추가하기 위한 다양한 연구가 진행되고 있다. 비쥬얼 센서는 다른 센서 정보에 비해 데이터가 크기 때문에 데이터의 크기를 효율적으로 관리하는 것이 무엇보다 중요하다. 본 논문에서는 효과적인 데이터 관리에 필요한 비디오 트래픽 예측 방법을 제안한다. 제안하는 방법은 비디오 센서에서 획득되는 영상의 특성을 반영하여 1차 AR 모델로 비디오 트래픽을 모델링하고 칼만필터 알고리즘을 적용하여 트래픽을 예측한다. 제안하는 방법은 계산량이 많지 않아 센서 노드에 적용되기 적합하다. 실험 결과는 제안하는 방법이 비교적 간단한 형태이지만 전체 평균 트래픽의 1% 이내로 오차로 정확하게 트래픽을 예측하는 것을 보여준다.