• 천문학회지
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• 제52권5호
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• pp.145-158
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• 2019

We conducted a survey of open clusters within 1 kpc from the Sun using the astrometric and photometric data of the Gaia Data Release 2. We found 655 cluster candidates by visual inspection of the stellar distributions in proper motion space and spatial distributions in l - b space. All of the 655 cluster candidates have a well defined main-sequence except for two candidates if we consider that the main sequence of very young clusters is somewhat broad due to differential extinction. Cross-matching of our 653 open clusters with known open clusters in various catalogs resulted in 207 new open clusters. We present the physical properties of the newly discovered open clusters. The majority of the newly discovered open clusters are of young to intermediate age and have less than ~50 member stars.

• 로봇학회논문지
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• 제19권2호
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• pp.196-202
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• 2024

The ability to understand given environments and plan a sequence of actions leading to goal state is crucial for personal service robots. With recent advancements in deep learning, numerous studies have proposed methods for state representation in planning. However, previous works lack explicit information about relationships between objects when the state observation is converted to a single visual embedding containing all state information. In this paper, we introduce graph-based state representation that incorporates both object and relationship features. To leverage these advantages in addressing the task planning problem, we propose a Graph Neural Network (GNN)-based subgoal prediction model. This model can extract rich information about object and their interconnected relationships from given state graph. Moreover, a search-based algorithm is integrated with pre-trained subgoal prediction model and state transition module to explore diverse states and find proper sequence of subgoals. The proposed method is trained with synthetic task dataset collected in simulation environment, demonstrating a higher success rate with fewer additional searches compared to baseline methods.

• 한국산학기술학회논문지
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• 제18권5호
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• pp.549-556
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• 2017

본 연구의 목적은 급성기와 직업 사회 복귀전에 있는 뇌졸중 환자의 신경학적 인지기능 및 사회 인지기능의 차이를 비교하고 그 관계를 입증함으로서 급성기 뇌졸중 환자의 인지재활 중재 시 사회 인지 중재의 중요성을 파악하고자 하였다. 2015년 5월에서 2016년 6월까지 서울 소재 재활병원에서 재활치료를 받고 있는 뇌졸중 입원환자 30명과 주간재활센터를 이용하는 환자 30명을 대상으로 LOTCA, 만화 의도추론과제, 사회행동배열과제를 실시하였다. 각 그룹간의 차이를 알아보기 위해 이표본 t 검정을 실시하였다. 각 그룹내에서의 각 변인들간의 상관관계를 알아보기 위해 Pearson's correlations 검정을 실시하였다. 그 결과, 뇌졸중 급성기 뇌졸중 환자군과 지역사회 복귀 전 재활훈련을 받고 있는 만성 뇌졸중 환자군의 신경학적 인지기능과 사회인지 기능 모두에서 통계학적으로 유의한 차이를 나타내었다(p<0.05). 신경학적 인지와 사회인지와의 선형적 관련성을 알아본 결과 급성 뇌졸중군에서는 사고 조직력 항목이 사회행동배열 척도와 상관성을 나타내었다(r=0.539. p<0.05). 만성 뇌졸중군에서는 만화 의도 추론과제는 시지각(r=0.530, p<0.05), 시운동조직화(r=0.655, p<0.05), 사고조작력(r=0.764, p<0.05) 항목과 상관성을 나타내었다. 또한 사회행동배열척도와 시운동조직화(r=0.534, p<0.05). 사고조작력(r=0.650, p<0.05)이 상관성을 나타내었다. 다중회귀 분석 결과, 만화의도 추론과제 결과에서 급성기 뇌졸중 환자의 사회인지기능에 영향을 미치는 신경학적 인지기능은 사고조작력으로 나타났으며(B=0.431), 만성 뇌졸중 환자군의 경우 사고 고작력(B=0.272), 시운동 조직화(B=0.218)로 나타났다. 또한, 사회행동배열과제 결과에서는 급성기 뇌졸중 환자의 경우 사고 조작력(B=0.417)으로 나타났고, 만성 뇌졸중 환자의 경우 사고 조작력(B=0.267), 시운동조직화(B=0.274), 시지각(B=0.151)으로 나타났다. 이번 연구 결과에 의하면, 두 그룹 간 신경학적 인지와 사회인지 수준에 차이를 보였다. 사회인지는 주로 신경학적 인지기능 고차원적 인지 기능인 사고조작력과 높은 관련성이 있고 영향을 받을 것으로 사료된다. 따라서 추후 연구에서는 뇌졸중 환자에게 사회인지기능에 대한 훈련 프로그램을 적용 후 신경학적 인지기능 중 고차원적 인지기능의 변화가 있는지 추정해보는 연구가 필요하겠다.

• 한국실내디자인학회논문집
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• 제16호
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• pp.182-189
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• 1998

The existential space concept which introduced the sense of place that began emerging recently together with the change of space concept results from people's fundamental existential humane aspect as the subject of perceptive experience. The tendencies of enlargement layering and diversification which we can see in contemporary architecture imply the possibility that elements of urban image can be incorporated into interior design. This study utilizes Kevin Lynch's theory which tries to relate environment to existential space. In this study we re-analyze and apply Lynch's $\ulcorner$the Theory of Urban Image$\lrcorner$to interior space and using the conclusion from a case study examine the applicability of the theory about visual perception to interior design. This study considers a new method of analysis to perceive and grasp interior space through the understanding of the cognitive map and image concept.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2001년도 제14회 신호처리 합동 학술대회 논문집
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• pp.121-124
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• 2001

For efficient transmission of 3DTV video signals, it is necessary to eliminate the inherent redundancy between the stereo image pairs. Though disparity estimation provides a powerful tool for eliminating the redundancy, it is very time consuming. This paper presents a novel disparity estimation scheme based on the human visual property. The disparity vectors of image blocks spatially adjacent to the current block are used as initial guesses fur the disparity vector of the current block. In addition, mixed-resolution coding is applied to reduce the computational complexity of disparity estimation. Through computer simulations on a stereoscopic sequence we show that the proposed method gives rise .to visually pleasing results with much reduced computational complexity.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1996년도 한국자동제어학술회의논문집(국내학술편); 포항공과대학교, 포항; 24-26 Oct. 1996
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• pp.273-276
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• 1996

We propose a new method to extract valid lines from a visual image. Unsupervised clustering method is used to assign each line to any of the line groups according to its orientation. During the low-level image processing we use an adaptive threshold method to reduce human supervision and to automate the processing sequence. To reduce the misclassification rate and to suppress the superiors line support regions at the clustering stage, the adaptive threshold method is consistently applied. Performing principal component analysis on each line support region provides an efficient method of obtaining line equation. Finally we adopt the theory of robust statistics to guarantee the quality of each extracted line and to eliminate the lines of poor quality. We present the experimental results to verify our method. With the proposed method, one can extract the lines according to the internal orientation similarities and integrate the whole process into one adaptive procedure.

• 한국디지털건축인테리어학회논문집
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• 제11권3호
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• pp.99-107
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• 2011

The prime purpose of this study is to view traditional residential space not only as visual and figurative but also experiencing space from the perspective of aesthetics. This study points out that traditional residential space should be perceived as "true space" of connecting people, life and experience. Although it was not clearly defined as a visual entity, the value, phenomenon and experience of space materialized through conjecture and expectation are interpreted as the arena of aesthetics and philosophy. This study aims at drawing a conclusion that the characteristics of traditional residential space, which is perceived as experiencing space centered on objective and subjective human behaviors, makes a linkage to aesthetic elements.

• 한국디지털건축인테리어학회논문집
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• 제10권3호
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• pp.53-62
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• 2010

The prime purpose of this study is to view traditional residential space not only as visual and figurative but also experiencing space from the perspective of aesthetics. This study points out that traditional residential space should be perceived as "true space" of connecting people, life and experience. Although it was not clearly defined as a visual entity, the value, phenomenon and experience of space materialized through conjecture and expectation are interpreted as the arena of aesthetics and philosophy. This study aims at drawing a conclusion that the characteristics of traditional residential space, which is perceived as experiencing space centered on objective and subjective human behaviors, makes a linkage to aesthetic elements.

• 전자공학회논문지S
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• 제35S권4호
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• pp.85-95
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• 1998

In this paper, a new watermarking method for a copy protectionof images is proposed. The proposed method adaptively embeds a watermark in the frequency domain of images using human visual system model. For this purpose, the Just Noticeable Differences(JNDs) of each frequency coeffeicient value of a luminance plane is first found using Watson and Solomon's visual system model. An invisible maximum watermark value with is different in every position according to the characteristics of images is determined usig JND and Minkowski metric. A low frequency domain is divided into two sets based on a PN-sequence to protect thewatermark from the attack. The watermarks are added to one set of coefficients and detecting a watermark, the difference between the mean values of absolute coefficient values of both sets is calculated. The embedded watermark is tested using statistical hypothesis based on test static dertermined by the ean difference. To demonstrate the perfromance of the proposed method, the new watermarking method is applied to a high frequency image and low frequency images. Experimenatal results show the watermark is invisible and robust to JPEGlossy compression and noise.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제14권1호
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• pp.8-16
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• 2014

We consider the visual barcode recognition problem in a noisy video data setup. Unlike most existing single-frame recognizers that require considerable user effort to acquire clean, motionless and blur-free barcode signals, we eliminate such extra human efforts by proposing a robust video-based barcode recognition algorithm. We deal with a sequence of noisy blurred barcode image frames by posing it as an online filtering problem. In the proposed dynamic recognition model, at each frame we infer the blur level of the frame as well as the digit class label. In contrast to a frame-by-frame based approach with heuristic majority voting scheme, the class labels and frame-wise noise levels are propagated along the frame sequences in our model, and hence we exploit all cues from noisy frames that are potentially useful for predicting the barcode label in a probabilistically reasonable sense. We also suggest a visual barcode tracking approach that efficiently localizes barcode areas in video frames. The effectiveness of the proposed approaches is demonstrated empirically on both synthetic and real data setup.