• The Journal of Korean Academy of Sensory Integration
• /
• v.21 no.2
• /
• pp.24-34
• /
• 2023

Objective : This study sought to investigate the effects of a sensory integration intervention focusing on vestibular and proprioceptive on the spatial relations and visual-motor coordination of children with developmental disorders. Methods : Three children with developmental disabilities aged 5 to 6 years were the subjects of this study, and the ABA' design, which is one of the single subject research designs. A total of 18 sessions were conducted over a six-week period-that is, three 30-minute sessions per week. During the three baseline sessions, the children's spatial relations and visual-motor coordination were evaluated prior to the intervention. During the 12 sessions conducted in the intervention period, a vestibular and proprioception sensory integration intervention was performed, while in the final three sessions, the children's spatial relations and visual-motor coordination were again evaluated (without any further intervention Children were measured and evaluated every session after intervention using a computer cognitive rehabilitation program (CoTras-C). Moreover, the Kaufman Assessment Battery for Children and the Korean-Development Test of Visual Perception-2 were used as evaluation tools to verify the effectiveness of the intervention. Results : There were significant differences in the spatial relations and visual-motor coordination scores of the children with developmental disorders before and after the vestibular and proprioceptive sensory integration intervention. More specifically, after the intervention, all three children showed statistically significant improvements. Conclusion : The applied vestibular and proprioceptive sensory integration therapy had a significant impact on the spatial relations and visual-motor coordination of the three children with developmental disorders.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2007.06a
• /
• pp.597-600
• /
• 2007

Face is considered to be one of the biometrics in person identification. But Face recognition is a high dimensional pattern recognition problem. Even low-resolution face images generate huge dimensional feature space. The aim of this paper is to present a fast feature extraction method for real time human face recognition. first, It compute eigen-vector and eigen-value by Principle component analysis on inputed human face image, and propose method of feature extraction that make feature vector by apply gabor filter to computed eigen-vector. And it compute feature value which multiply by made eigen-value. This study simulations performed using the ORL Database.

• Journal of Korean Association for Spatial Structures
• /
• v.12 no.3
• /
• pp.89-95
• /
• 2012

Post-tensioned void slab is frequently used for improving the deflection and sound proofing. Two one story 8m spanned structures were built. One structure applied post-tensioned solid slab, but the other did post-tensioned void slab. Dynamic characteristics, which is natural frequency and damping ratio, was compared between that of solid slab and void slab before and after post tension. The natural frequency of void slab was greater than that of solid slab before and after post tension. It was shown that damping ratio of solid slab and void slab was almost same at two stages.

• Journal of the Institute of Electronics Engineers of Korea SP
• /
• v.47 no.1
• /
• pp.25-34
• /
• 2010

Robust face recognition under various illumination environments is difficult to achieve. For robust face recognition with respect to illumination variations, illumination normalization of face images is usually applied as a preprocessing step. Most of previously proposed illumination normalization methods cannot handle cast shadows in face images effectively. In this paper, We propose a new face illumination normalization method based on the illumination-separated face identity texture subspace. Since the face identity texture subspace is constructed so as to be separated from the effects of illumination variations, the projection of face images into the subspace produces a good illumination-normalized face images. Through experiments, it is shown that the proposed face illumination normalization method can effectively eliminate cast shadows as well as attached shadows and achieves a good face illumination normalization.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
• /
• 2008.06a
• /
• pp.3-9
• /
• 2008

최근 유비쿼터스(ubiquitous), 네비게이션(navigation), 위치기반서비스(Location Based Service) 등의 발전으로 공간정보에 대한 욕구가 증가하고, 나아가 사용자의 환경에 구애받지 않고 공간정보를 제공하는 서비스가 발전하고 있다. 그러나 현재 우리나라는 표준화된 식별자가 없이 정부 부처별 또는 지방자치단체로 공간정보 특히, 그 필요성이 높은 건축물을 DB로 구축 관리하고 있어, 이들 시스템의 고유번호를 건축물 유일식별자로 활용하는데 한계가 있다. 또한 여러 지형지물 식별차도 개별 업무 및 DB관리를 위하여 부여된 측면이 있어 건축물 유일식별자로는 적당치 않았다. 따라서 본 연구에서는 국가 차원의 건축물 유일식별자의 필요성을 제기하고, 이들 유일식자 관리시스템을 난립한 건축물 고유번호를 상호적으로 변환하는 시스템으로 활용할 것을 제안한다.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.15 no.4
• /
• pp.400-405
• /
• 2005

This paper analyzes the performance of a face recognition algorithm using the eigenfaces method. In the absence of robust personal recognition schemes, a biometric recognition system has essentially researched to improve their shortcomings. A face recognition system in biometries is widely researched in the field of computer vision and pattern recognition, since it is possible to comprehend intuitively our faces. The proposed system projects facial images onto a feature space that effectively expresses the significant variations among known facial images. The significant features are known as 'eigenfaces', because they are the eigenvectors(principal components) of the set of faces. The projection operation characterizes an individual face by a weighted sum of the eigenface features, and to recognize a particular face it is necessary only to compare these weights to those of known individuals. In order to analyze the performance of the system, we develop a face recognition system by using Harvard database in Harvard Robotics Laboratory. We present the recognition rate according to variations on the lighting condition, numbers of the employed eigenfaces, and existence of a pre-processing step. Finally, we construct a rejection curve in order to investigate the practicability of the recognition method using the eigenfaces.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.16 no.5
• /
• pp.119-123
• /
• 2006

We present a new face recognition method, which selects eigenfaces by our algorithm instead of the existing eigenfaces selection method that chooses eigenfaces by the value of corresponding eigenvalues. We justify our method by comparing our method with traditional one by experiments with YALE, ORL database. By using our algorithm in selecting the eigenfaces, we obtain higher recognition rate than the existing schemes.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.16 no.10
• /
• pp.2121-2128
• /
• 2012

This paper proposed the real time face area detection using Wavelet transform and the strong detection algorithm that satisfies the efficiency of computation and detection performance at the same time was proposed. The detected face image recognizes the face by configuring the low-dimensional face symbol through the principal component analysis. The proposed method is well suited for real-time system construction because it doesn't require a lot of computation compared to the existing geometric feature-based method or appearance-based method and it can maintain high recognition rate using the minimum amount of information. In addition, in order to reduce the wrong recognition or recognition error occurred during face recognition, the input symbol of Hidden Markov Model is used by configuring the feature values projected to the unique space as a certain symbol through clustering algorithm. By doing so, any input face will be recognized as a face model that has the highest probability. As a result of experiment, when comparing the existing method Euclidean and Mahananobis, the proposed method showed superior recognition performance in incorrect matching or matching error.

• Journal of Korean Association for Spatial Structures
• /
• v.7 no.1 s.23
• /
• pp.55-62
• /
• 2007

The Paper presents three methods for calculating the natural frequencies of cantilevered curved Beams. A summary is given of the development of two techniques: theoretic value and the result of the experiment. Theoretic value of curved beam vibration analysis are derived from complementary variational principles assuming as unknown stress-displacement result fields. In order to perform free vibration analysis of curved beam, Aluminum-made cantilevered curved beam is used in experiment. Experimental input and output signals are derived from the impact hammer and the one accelemeter are amplificated by an amplifier. The validity of the modal analysis method

• Journal of the Institute of Electronics Engineers of Korea SP
• /
• v.47 no.6
• /
• pp.162-170
• /
• 2010

Adaptive arrays reject interferences while preserving the desired signal, exploiting a priori information on its arrival angle. Subspace-based adaptive arrays, which adjust their weight vectors in the signal subspace, have the advantages of fast convergence and robustness to steering vector errors, as compared with the ones in the full dimensional space. However, the complexity of theses subspace-based methods is high because the eigendecomposition of the covariance matrix is required. In this paper, we present a simple subspace-based method based on the PASTd (projection approximation subspace tracking with deflation). The orignal PASTd algorithm is modified such that eigenvectora are orthogonal to each other. The proposed method allows us to significantly reduce the computational complexity, substantially having the same performance as the beamformer with the direct eigendecomposition. In addition to the simple beamforming method, we present theoretical analyses on the SINR (signal-to-interference plus noise ratio) of subspace beamformers to see their behaviors.