• International Journal of Contents
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• 제11권1호
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• pp.21-30
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• 2015

A simulated realistic virtual environment is inhabited by autonomous cyber-humans who play the roles of agents in events. A key element, which enables this realism, is the historical context formed by time and space. A knowledge-representation scheme, composed of both spatial and temporal aspects needed by the agent to respond to dynamically changing situations, is essential for the design of a realistic virtual agent. In this work, spatial and temporal aspects of dynamic situations in the virtual environment have been formalized as a key component of our knowledge-representation scheme. This scheme provides a mathematical framework to construct realistic virtual situations that change with time, and background knowledge for agents in the simulated environment to deduce new pieces of information and plan against changing situations.

• 한국의류산업학회지
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• 제16권5호
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• pp.689-697
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• 2014

This study aims to analyze the representation forms of bloggers' personal style on the fashion blogs and enlighten their values which can be actively applied to design and marketing in fashion industry. Image representation of fashion bloggers is reflected by the characteristics in the digital environment, which are the creative manipulation of expression and the production of virtual and fantastic images by taking advantage of the composite medium such as images, music, videos, articles, etc. Also real time updates in blog indicate the latest trends in terms of the representation of image as the actual currency. The study conducted case studies of 5 women's personal fashion blogs through the verification of a variety of global fashion media and blog ranking sites: Style Bubble, Style Rookie, The Cherry Blossom Girl, The Blond Salad, and Fashion Toast. Research findings are as follows. First, the application of creative design elements is indicated as symbolic items, self-made designs, DIY, and various mix and match emphasizing design elements such as color, patterns, proportion, etc. Second, the virtual representation is very highlighted on the story telling applied by film like production or digital effect. Third, the commercial application with mainly sponsored wardrobe and designer collaboration indicates promoting a updated trend as well as a specific brand or designer to make their business profits.

• ETRI Journal
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• 제28권2호
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• pp.219-222
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• 2006

Virtual source location information (VSLI) has been newly utilized as a spatial cue for compact representation of multichannel audio. This information is represented as the azimuth of the virtual source vector. The superiority of VSLI is confirmed by comparison of the spectral distances, average bit rates, and subjective assessment with a conventional cue.

• 한국콘텐츠학회논문지
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• 제13권6호
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• pp.9-19
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• 2013

본 논문에서는 가상 상황속의 사건들에 역사적 맥락을 부여하기 위한 통합적 직관적 정보표현구조로서 시공간 그래프(Spatio-Temporal Graph)를 설계하고 구현하였다. 일반적으로 사건은 공간뿐 아니라 시간을 점유함으로써 역사적 사실이 된다. 따라서 가상 상황을 시뮬레이션하기 위해서는 공간적 측면을 표현하기 위한 삼차원 정보구조에 시간적 측면을 더한 다차원적인 맥락에 사건들을 위치시키는 일이 핵심적 기초가 된다. 이러한 다차원적 맥락은 온톨로지 뷰, 인스턴스 뷰, 시공간 뷰, 실제 뷰 등과 같은 여러 수준에서의 통합적 직관적 지식표현수단들을 통해 구현된다. 이와 같이 구현된 시공간 그래프에 기반한 시뮬레이션 시스템에 예제 시나리오를 적용하여 실용성을 검증한다. 본 기술은 지능형 교육시스템이나 차세대 시뮬레이션 게임 등에 필수적인 다양한 상황들을 제공하는 시뮬레이션 시스템의 중심요소가 된다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권7호
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• pp.3172-3193
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• 2018

Recently, several studies have shown that linear representation based approaches are very effective and efficient for image classification. One of these linear-representation-based approaches is the Collaborative representation (CR) method. The existing algorithms based on CR have two major problems that degrade their classification performance. First problem arises due to the limited number of available training samples. The large variations, caused by illumintion and expression changes, among query and training samples leads to poor classification performance. Second problem occurs when an image is partially noised (contiguous occlusion), as some part of the given image become corrupt the classification performance also degrades. We aim to extend the collaborative representation framework under limited training samples face recognition problem. Our proposed solution will generate virtual samples and intra-class variations from training data to model the variations effectively between query and training samples. For robust classification, the image patches have been utilized to compute representation to address partial occlusion as it leads to more accurate classification results. The proposed method computes representation based on local regions in the images as opposed to CR, which computes representation based on global solution involving entire images. Furthermore, the proposed solution also integrates the locality structure into CR, using Euclidian distance between the query and training samples. Intuitively, if the query sample can be represented by selecting its nearest neighbours, lie on a same linear subspace then the resulting representation will be more discriminate and accurately classify the query sample. Hence our proposed framework model the limited sample face recognition problem into sufficient training samples problem using virtual samples and intra-class variations, generated from training samples that will result in improved classification accuracy as evident from experimental results. Moreover, it compute representation based on local image patches for robust classification and is expected to greatly increase the classification performance for face recognition task.

• ETRI Journal
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• 제44권2호
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• pp.327-338
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• 2022

Classification models for human action recognition require robust features and large training sets for good generalization. However, data augmentation methods are employed for imbalanced training sets to achieve higher accuracy. These samples generated using data augmentation only reflect existing samples within the training set, their feature representations are less diverse and hence, contribute to less precise classification. This paper presents new data augmentation and action representation approaches to grow training sets. The proposed approach is based on two fundamental concepts: virtual video generation for augmentation and representation of the action videos through robust features. Virtual videos are generated from the motion history templates of action videos, which are convolved using a convolutional neural network, to generate deep features. Furthermore, by observing an objective function of the genetic algorithm, the spatiotemporal features of different samples are combined, to generate the representations of the virtual videos and then classified through an extreme learning machine classifier on MuHAVi-Uncut, iXMAS, and IAVID-1 datasets.

• 한국콘텐츠학회논문지
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• 제20권12호
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• pp.230-240
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• 2020

가상세계 기반 몰입형 가정교사 시스템을 개발하기 위해 상황의 다양성과 사실성을 최대화하기 위한 공간적 측면에서의 시뮬레이션을 개발하고자 한다. 이를 위해서는 가상공간의 모델링과 함께 가상인간들의 지식 및 지능적 사유기능이 필요하다. 먼저 공간의 계층적이고 다면적인 구성과 그에 상응하는 가상인간들의 지식을 모사하기 위한 정보구조가 필요하다. 구체적으로 2.5차원 공간분포표현, 복잡한 공간관계표현, 객체표현, 사건들의 시공간적 표현을 위한 네 개의 구조를 각각 개발한다. 그리고 이와 같이 표현된 지식을 사용하여 공간적인 이동을 하는데 필요한 가상인간의 공간적 사유 기능을 개발한다. 일반적으로 사건은 힘을 매개로 인접하거나 연결된 다른 객체들에게도 연쇄적으로 영향을 미쳐서 다양한 상황들이 펼쳐지며 관련된 가상인간들이 다음 행동을 계획하는 데에 반영된다. 이를 위해 시공간 표현구조 상에 역사적 흐름에 따라 사건들의 전개를 기록한다. 전형적 사건을 구현하여 가상인간의 복잡한 공간속에서의 자주적 행동의 실현가능성을 보여준다.

• Journal of Welding and Joining
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• 제31권5호
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• pp.35-40
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• 2013

In this paper, we propose the Tangible Virtual Reality Representation Method to using haptic device and feature to morphology of created bead from Flux Cored Arc Welding. The virtual reality was started to rising for reduce to consumable materials and welding training risk. And, we will expected maximize virtual reality from virtual welding training. In this paper proposed method is get the database to changing the input factor such as work angle, travelling angle, speed, CTWD. And, it is visualization to bead from extract to optimal morphological feature information to using the Neural Network algorithm. The database was building without error to extract data from automatic robot welder. Also, the Neural Network algorithm was set a dataset of the highest accuracy from verification process in many times. The bead was created in virtual reality from extract to morphological feature information. We were implementation to final shape of bead and overlapped in process by time to using bead generation algorithm and calibration algorithm for generate to same bead shape to real database in process of generating bead. The best advantage of virtual welding training, it can be get the many data to training evaluation. In this paper, we were representation bead to similar shape from generated bead to Flux Cored Arc Welding. Therefore, we were reduce the gap to virtual welding training and real welding training. In addition, we were confirmed be able to maximize the performance of education from more effective evaluation system.

• 한국콘텐츠학회논문지
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• 제12권6호
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• pp.21-31
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• 2012

가상현실은 현실처럼 구성된 가상공간과 그 속에서 살아가는 에이전트들로 구성되어 있다. 여기서 가상공간이란 시각적 표현뿐만 아니라 질량, 중력, 마찰력등과 같은 물리속성들과 법칙들에 의해 규율되는 질서 있는 공간을 의미한다. 이러한 가상공간을 구축하기 위해서는 인간과 유사한 행동을 하는 가상 에이전트와 그를 둘러싼 환경을 설계해야 한다. 정해진 공간이나 기억에 대하여 설계자의 지식에 따라서 그대로 반응하게 만들어진 기존의 반응형 에이전트의 행동방식을 개선하여 능동적 행동이 가능하기 위해서는 에이전트의 활동 공간에 관련된 다양한 지식이 필요하다. 본 연구에서는 이러한 지식중에서 공간적 지식에 관한 표현구조를 설계하고 구현한다. 이와 같은 지식표현은 사실적이고 효율적인 물리적 가상환경을 구축하는 바탕으로 사용됨과 동시에 가상에이전트들의 지식을 표현하는 구조로 이용된다.

• 한국항행학회논문지
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• 제11권1호
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• pp.99-104
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• 2007

온라인 아바타 커뮤니티서비스를 위해서는 의사소통, 감정표현, 유행하는 춤 등을 자연스럽게 표현해야하며 다양한 서비스를 제공해야한다. 또한 공간이 동적이며 아바타의 움직임과 공간과의 상호 작용이 필요하며, 3D 아바타의 개발에서 경쟁력을 갖추기 위해서는 아바타가 자연스러운 동작과 재미있고 다양한 동작과 가상공간의 인터렉티브가 함께 구현되어야 한다. 3D 아바타는 전자상거래를 위한 3차원쇼핑몰, 사이버 모델하우스, 3차원 시뮬레이션, 3차원 가상현실 게임 등의 폭넓은 영역에서 응용 될 것으로 기대된다. 이에 온라인 3D 아바타 커뮤니티서비스를 위해서 3D 아바타 애니메이션과 함께 인터렉티브 가상공간을 제작하고 그 방법을 제시하고자 한다.