• 정보관리학회지
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• 제34권3호
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• pp.23-48
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• 2017

본 연구는 국내 시각장애인학교 도서관의 운영방향에 대한 기틀을 마련하고, 도서관 프로그램에 대한 실제 이용자의 인식정도를 반영한 체계적인 프로그램을 개발하기 위하여 진행되었다. 국내 시각장애 학교도서관 세 곳을 대상으로 설문조사를 수행하였으며, 분석결과를 기반으로 시각장애인학교 도서관 프로그램 프레임워크를 제안하였다. 프레임워크의 적용가능성 및 효과성을 검증하기 위하여 연구팀과 각 학교의 교사 간의 협의를 통하여 각 학교의 상황에 맞는 총 10개의 프로그램을 설계하여 실제 학생들을 대상으로 수업을 실시하였다. 프로그램 종료 후 조사한 결과 도서관 이용 빈도, 독서량, 도서관에 대한 인식, 정보활용 및 자기주도적 학습의지의 영역에서 모두 긍정적인 반응이 증가한 것을 확인할 수 있었다.

• ETRI Journal
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• 제34권1호
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• pp.130-133
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• 2012

Recently, several noise-robust adaptive multichannel LMS algorithms have been proposed based on the spectral flatness of the estimated channel coefficients in the presence of additive noise. In this work, we propose a general form for the algorithms that integrates the existing algorithms into a common framework. Computer simulation results are presented and demonstrate that a new proposed algorithm gives better performance compared to existing algorithms in noisy environments.

• Journal of applied mathematics & informatics
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• 제26권5_6호
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• pp.1149-1159
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• 2008

Blind source extraction (BSE) is a special class of blind source separation (BSS) methods, which only extracts one or a subset of the sources at a time. Based on the time delay of the desired signal, a simple but important extraction algorithm (simplified " BC algorithm")was presented by Barros and Cichocki. However, the performance of this method is not satisfying in some cases for which it only carries out the constrained minimization of the mean squared error. To overcome these drawbacks, ICA with reference (ICA-R) based approach, which considers the higher-order statistics of sources, is added as the second stage for further source extraction. Specifically, BC algorithm is exploited to roughly extract the desired signal. Then the extracted signal in the first stage, as the reference signal of ICA-R method, is further used to extract the desired sources as cleanly as possible. Simulations on synthetic data and real-world data show its validity and usefulness.

• Steel and Composite Structures
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• 제27권5호
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• pp.647-659
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• 2018

Through extensive research, there exist a new type of connection between railway bridge girders and steel-concrete composite panels. In addition to conventional shear connectors, newly developed blind bolts have been recently adopted for retrofitting. However, the body of knowledge on their influence and application to railway structures has not been thoroughly investigated. This study has thus placed a particular emphasis on the application of blind bolts on the Sydney Harbour Bridge as a feasible alternative constituent of railway track upgrading. Finite element modeling has been used to simulate the behaviours of the precast steel-concrete panels with common types of bolt connection using commercially available package, ABAQUS. The steel-concrete composite track slabs have been designed in accordance with Australian Standards AS5100. These precast steel-concrete panels are then numerically retrofitted by three types of most practical bold connections: head studded shear connector, Ajax blind bolt and Lindapter hollow bolt. The influences of bolt connections on load and stress transfers and structural behaviour of the composite track slabs are highlighted in this paper. The numerical results exhibit that all three bolts can distribute stresses effectively and can be installed on the bridge girder. However, it is also found that Lindapter hollow bolts are superior in minimising structural responses of the composite track slabs to train loading.

• 감성과학
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• 제10권3호
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• pp.299-306
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• 2007

본 연구에서는 남성용 소모직물의 품질향상을 위해 국외 유명 브랜드 소모직물의 물성을 분석하고 이를 바탕으로 국내 소모직물을 시생산하여 국외 소모직물과 비교 분석하였다. 분석방법은 의류소재의 객관적인 평가방법인 KES-FB system과 국내 복지 전문가 등에 의해 평가된 주관적인 평가방법인 Blind field test 방법으로 소모직물의 물성을 평가하여 두 측정 방법 간의 결과를 비교해 보고자 한다. 본 연구에서는 이태리와 영국 그리고 국내에서 생산된 7개 품종의 14개 소모직물 시료를 사용하였다.

• 한국음향학회:학술대회논문집
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• 한국음향학회 2002년도 하계학술발표대회 논문집 제21권 1호
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• pp.9-14
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• 2002

We propose a new algorithm for blind source separation (BSS), in which frequency-domain independent component analysis (FDICA) and time-domain ICA (TDICA) are combined to achieve a superior source-separation performance under reverberant conditions. Generally speaking, conventional TDICA fails to separate source signals under heavily reverberant conditions because of the low convergence in the iterative learning of the inverse of the mixing system. On the other hand, the separation performance of conventional FDICA also degrades significantly because the independence assumption of narrow-band signals collapses when the number of subbands increases. In the proposed method, the separated signals of FDICA are regarded as the input signals for TDICA, and we can remove the residual crosstalk components of FDICA by using TDICA. The experimental results obtained under the reverberant condition reveal that the separation performance of the proposed method is superior to that of conventional ICA-based BSS methods.

• International journal of advanced smart convergence
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• 제9권3호
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• pp.260-271
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• 2020

Smartphones provide blind users with screenreader as an accessibility tool. However, blind users often experience difficulties accessing online shopping malls via smartphones due to their inconsistent and image-based layouts. To enable screenreader users to get access to the detailed information about products while they are shopping online, we have developed BarrierFreeShop, an accessible mobile shopping application for people with visual impairments. BarrierFreeShop has three accessibility features: (1) layout automation, (2) review summarization, and (3) optical character recognition. We conducted a user study with 80 participants with visual impairments where they were asked to use BarrierFreeShop for a month. The findings revealed the effectiveness of our app in terms of speed and post interview feedback. We have also discovered typical shopping experiences that participants had during the test. This research suggests that computer vision technologies can improve accessibility issues in online shopping malls. In addition, we have confirmed that extracting contents from images help people with visual impairments to get better access to product information.

• Clinics in Shoulder and Elbow
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• 제18권3호
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• pp.120-127
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• 2015

Background: We prospectively compared the response to blind and ultrasound-guided glenohumeral injection of corticosteroids for treatment of shoulder stiffness. Methods: A total of 77 patients with shoulder stiffness between April 2008 and March 2012 were recruited. Patients were randomized to receive either a blind (group 1, n=39) or ultrasound-guided (group 2, n=38) glenohumeral injection of 40 mg triamcinolone. The clinical outcomes and shoulder range of motion (ROM) before injection, at 3, 6, and 12 months after injection and at the last follow-up were assessed. The same rehabilitation program was applied in both groups during the follow-up period. Results: There was no significant difference in demographic data on age, sex, ROM, and symptom duration before injection between groups (p>0.05). There were no significant differences in ROM including forward flexion, external rotation at the side, external rotation at $90^{\circ}$ abduction, and internal rotation, visual analogue scale for pain and functional outcomes including American Shoulder and Elbow Surgeons score, Simple Shoulder test between the two groups at any time point (p>0.05). Conclusions: Based on the current data, the result of ultrasound-guided glenohumeral injection was not superior to that of blind injection in the treatment of shoulder stiffness. We suggest that ultrasound-guided glenohumeral injection could be performed according to the patient's compliance and the surgeon's preference. Once familiar with the non-imaging-guided glenohumeral injection, it is an efficient and reliable method for the experienced surgeon. Ultrasound could be performed according to the surgeon's preference.

• Transactions on Control, Automation and Systems Engineering
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• 제2권1호
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• pp.7-12
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• 2000

A new speech enhancement algorithm for speech corrupted by slowly varying additive colored noise is suggested based on a state-space signal model. Due to the FIR structure and the unimportance of long-term past information, the receding horizon (RH) FIR filter known to be a best linear unbiased estimation (BLUE) filter is utilized in order to obtain noise-suppressed speech signal. As a special case of the colored noise problem, the suggested approach is generalized to perform the single blind signal separation of two speech signals. It is shown that the exact speech signal is obtained when an incoming speech signal is noise-free.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제4권3호
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• pp.259-265
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• 2004

In this study, a hybrid genetic algorithm merged with simulated annealing is presented to solve nonlinear channel blind equalization problems. The equalization of nonlinear channels is more complicated one, but it is of more practical use in real world environments. The proposed hybrid genetic algorithm with simulated annealing is used to estimate the output states of nonlinear channel, based on the Bayesian likelihood fitness function, instead of the channel parameters. By using the desired channel states derived from these estimated output states of the nonlinear channel, the Bayesian equalizer is implemented to reconstruct transmitted symbols. In the simulations, binary signals are generated at random with Gaussian noise. The performance of the proposed method is compared with those of a conventional genetic algorithm(GA) and a simplex GA. In particular, we observe a relatively high accuracy and fast convergence of the method.