• 자원환경지질
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• 제30권4호
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• pp.371-377
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• 1997

This paper presents the geophysical applications to the environmenml problem in an abandoned mine area. We would like to focus our attention on the mapping of the soil contamination and the detection of the buried mine tailings. For mapping the soil contamination. measurements of both in-situ magnetic susceptibility (k) and terrain conductivity were carried out. In-situ magnetic susceptibilities of the contaminated soil due to the acid mine drainage show higher values than those of the uncontaminated area. However. those data do not show the correlation with the degree of the soil contamination observed on the surface. The least-squares fitted formula obtained with the measured insitu magnetic susceptibilities is $k=4.8207{\times}W^{0.6332}$, where W is the $Fe^{+2}$ weight percentage. This weight gives most effect to magnetic susceptibility of the soil. Lateral variations of the soil contamination in the shallow subsurface can be detected by the electrical conductivity distributions from EM induction survey. TDIP (Time Domain Induced Polarization) and EM induction surveys were conducted to detect the buried mine tailings. From the results of TDIP, the spatial zone, which shows high chargeability-low resistivity, is interpreted as the buried mine tailings. Therefore, it is concluded that it is possible to discriminate the spatial zone from the uncontaminated ground.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권5호
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• pp.1881-1903
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• 2015

With the fast-developing of mobile terminals, positioning techniques based on fingerprinting method draws attention from many researchers even world famous companies. To conquer some shortcomings of the existing fingerprinting systems and further improve its performance, we propose a radio map building and updating technique, which is able to customize the spatial and temporal dependency of radio maps. The method includes indoor propagation and penetration modeling and the analysis of human traffic. Based on the combination of Ray-Tracing Algorithm, Finite-Different Time-Domain and Rough Set Theory, the approach of indoor propagation modeling accurately represents the spatial dependency of the radio map. In terms of temporal dependency, we specifically study the factor of moving people in the interest area. With measurement and statistics, the factor of human traffic is introduced as the temporal updating component. We improve our existing indoor positioning system with the proposed building and updating method, and compare the localization accuracy. The results show that the enhanced system can conquer the influence caused by moving people, and maintain the confidence probability stable during week, which enhance the actual availability and robustness of fingerprinting-based indoor positioning system.

• 한국통신학회논문지
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• 제23권7호
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• pp.1869-1882
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• 1998

본 논문에서는 2차원 이동 파라미터 추정을 위한 미분 이동 추정 기법의 수렴 특성을 분석한다. 미분 이동 추정 기법은 동영상 부호화에서의 이동 보상 예측을 위하여 많은 연구가 되어 오고 있으나, 그 수렴 특성에 대한 분석은 미미한 실정이다. 본 연구에서는 비분리 지수형 공분산 영상 모델에 근거하여 2-파라미터와 6-파라미터 이동 모델에 대한 파라미터의 추정치를 유도하며, 이를 이용하여, 잡음, 공간, 상관성, 공간 경사 선택 방법, 영역의 크기 등이 수렴속도에 미치는 영향을 정량적으로 분석한다. 분석에 대한 검증을 위하여 몇가지 실험 결과를 보인다.

• 한국공간구조학회논문집
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• 제22권3호
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• pp.57-64
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• 2022

As earthquakes have increased in Korea recently, people are paying attention to the seismic performance of buildings built in the past. Many school buildings in Korea were built based on standard drawings before the seismic design was applied. However, since school buildings are often designated as emergency evacuation facilities in case of disasters such as earthquakes, seismic evaluation and retrofit must be done quickly. This study investigated the failure modes among structural components (beams, columns, and joints), focusing on 1980s standard drawings for school buildings. The effects of column axial force, partial masonry infills, and different material strengths for concrete and rebar were considered for detailed evaluation. As a result, most of the joints were found to be the weakest among structural components. Column axial forces tended to make the joints more vulnerable, and partial masonry infills increased the possibility of joint failure and shear failure in columns.

• Advances in nano research
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• 제16권1호
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• pp.91-109
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• 2024

Carbon nanotubes are drawing wide attention of research communities and several industries due to their versatile capabilities covering mechanical and other multi-physical properties. However, owing to extreme operating conditions of the synthesis process of these nanostructures, they are often imposed with certain inevitable structural deformities such as single vacancy and nanopore defects. These random irregularities limit the intended functionalities of carbon nanotubes severely. In this article, we investigate the mechanical behaviour of double-wall carbon nanotubes (DWCNT) under the influence of arbitrarily distributed single vacancy and nanopore defects in the outer wall, inner wall, and both the walls. Large-scale molecular simulations reveal that the nanopore defects have more detrimental effects on the mechanical behaviour of DWCNTs, while the defects in the inner wall of DWCNTs make the nanostructures more vulnerable to withstand high longitudinal deformation. From a different perspective, to exploit the mechanics of damage for achieving defect-induced shape modulation and region-wise deformation control, we have further explored the localized longitudinal and transverse spatial effects of DWCNT by designing the defects for their regional distribution. The comprehensive numerical results of the present study would lead to the characterization of the critical mechanical properties of DWCNTs under the presence of inevitable intrinsic defects along with the aspect of defect-induced spatial modulation of shapes for prospective applications in a range of nanoelectromechanical systems and devices.

• Smart Structures and Systems
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• 제33권4호
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• pp.263-279
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• 2024

With the increasing diversity of internet media, available video data have become more convenient and abundant. Related video data-based research has advanced rapidly in recent years owing to advantages such as noncontact, low-cost data acquisition, high spatial resolution, and simultaneity. Additionally, structural nonlinearity extraction has attracted increasing attention as a tool for damage evaluation. This review paper aims to summarize the research experience with the recent developments and applications of video data-based technology for structural nonlinearity extraction and damage evaluation. The most regularly used object detection images and video databases are first summarized, followed by suggestions for obtaining video data on structural nonlinear damage events. Technologies for linear and nonlinear system identification based on video data are then discussed. In addition, common nonlinear damage types in disaster events and prevalent processing algorithms are reviewed in the section on structural damage evaluation using video data uploaded on online platform. Finally, a discussion regarding some potential research directions is proposed to address the weaknesses of the current nonlinear extraction technology based on video data, such as the use of uni-dimensional time-series data as leverage to further achieve nonlinear extraction and the difficulty of real-time detection, including the fields of nonlinear extraction for spatial data, real-time detection, and visualization.

• The Journal of Korean Physical Therapy
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• 제30권5호
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• pp.193-198
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• 2018

Purpose: The purpose of this study was to analysis of effectiveness between cognitive function assessment scores and gaming cognitive rehabilitation system in children with intellectual impairment. Methods: Five children (male=5, $age=10.00{\pm}0.80$) with intellectual impairment participated in this study and were randomly assigned to the experiment that played (received) gaming cognitive rehabilitation system (Neuroworld). The children were applied 2 times a week for 30 minutes during 3 months. The children were assessed K-WSIC-VI (Korean-Wechsler intelligence scale for children-fourth edition) and recorded that gained score in gaming cognitive rehabilitation system before and after intervention. K-WSIC-VI contained five primary index scores: verbal comprehension index, visual spatial index, fluid reasoning index, working memory index, and processing speed index. Gaming cognitive rehabilitation system scoring was composed visual recall, target recall, sequence recall, selective attention, continuous attention, and exploration. Results: In the intelligence quotient (IQ) of K-WSIC-VI, there were significant increased in all children. The visual recall item was highest effective in all children. However, sequential recall showed the lowest improvement in all children. The performance speed of selective attention item was decreased, this means that children's skills have improved. Also, their ability to explore has improved significantly. Conclusion: In conclusion, gaming cognitive rehabilitation system was significant effectiveness in cognitive function in some categories for children with intellectual impairment. However, the visual recall and performance speed don't represent of all cognitive function. Therefore, further studies will need to verify by applying more subject and longer duration.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권7호
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• pp.2131-2153
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• 2022

To achieve accurate detection of tuberculosis (TB) areas in chest radiographs, we design a chest X-ray TB area detection algorithm. The algorithm consists of two stages: the chest X-ray TB classification network (CXTCNet) and the chest X-ray TB area detection network (CXTDNet). CXTCNet is used to judge the presence or absence of TB areas in chest X-ray images, thereby excluding the influence of other lung diseases on the detection of TB areas. It can reduce false positives in the detection network and improve the accuracy of detection results. In CXTCNet, we propose a channel attention mechanism (CAM) module and combine it with DenseNet. This module enables the network to learn more spatial and channel features information about chest X-ray images, thereby improving network performance. CXTDNet is a design based on a sparse object detection algorithm (Sparse R-CNN). A group of fixed learnable proposal boxes and learnable proposal features are using for classification and location. The predictions of the algorithm are output directly without non-maximal suppression post-processing. Furthermore, we use CLAHE to reduce image noise and improve image quality for data preprocessing. Experiments on dataset TBX11K show that the accuracy of the proposed CXTCNet is up to 99.10%, which is better than most current TB classification algorithms. Finally, our proposed chest X-ray TB detection algorithm could achieve AP of 45.35% and AP50 of 74.20%. We also establish a chest X-ray TB dataset with 304 sheets. And experiments on this dataset showed that the accuracy of the diagnosis was comparable to that of radiologists. We hope that our proposed algorithm and established dataset will advance the field of TB detection.

• 수면정신생리
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• 제12권2호
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• pp.122-132
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• 2005

배 경：본 연구에서는 청년기 기면병 환자의 인지기능 변화를 평가하고자 하였다. 청년기 기면병 환자의 인지기능과 수면 증상과의 관계도 관찰하였다. 방 법：17세 이상 35세 이하의 기면병 환자 18명과 정상대조군 18명을 모집하여 연구를 시행하였다. 탈력발작이 있고, HLA $DQB_1$ *0602 양성인 경우만을 기면병 대상군으로 하였다. 기면병 대상군과 정상대조군에게 13종의 신경심리검사(Wisconsin 카드분류, Trail making, Stroop, Ruff, 청각순차합산, 바꿔쓰기, 숫자 외우기, 공간 외우기, Rey 기억력, California 언어학습, 통제단어연상, Boston 이름대기, 굽은 막대 검사)를 시행하여 양군을 비교하였다. 그리고, 기면병 대상군의 신경심리검사 결과와 Epworth 졸음증 척도, Ullanlinna 기면병 척도, 야간수면다원검사 및 입면 잠복시간 반복검사 결과 사이의 상관관계를 분석하였다. 결 과：기면병 대상군은 정상 대조군에 비해 2.0초 간격과 2.4초 간격의 청각순차합산, 바꿔쓰기, 공간 외우기 정방향 검사에서 수행능력이 저조하였다(t=3.86, p<0.001；t=-2.47, p=0.02；t=-3.95, p<0.001；t=-2.22, p=0.03). 다른 신경심리검사에서는 양 군간에 유의한 차이가 없었다. 기면병 대상군에서 저하된 신경심리검사 결과는 Epworth 졸음증 척도나 Ullanlinna 기면병 척도와 유의한 상관관계가 없었으며, 야간수면다원검사나 입면잠복시간 반복검사와도 유의한 상관관계가 없었다. 결 론：본 연구에서 기면병 환자군의 주의력이 저하되어 있음을 관찰하였다. 그러나 주의력 저하는 주간 졸음증과 유의한 상관을 보이지 않았다. 따라서 기면병 환자의 주의력 저하는 주간 졸음증의 개선만으로 호전시킬 수 없다는 점을 시사한다.

• 감성과학
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• 제22권4호
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• pp.3-14
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• 2019

현대사회에서 대표적인 제3의 공간인 카페는 학업과 휴게 등에 중요한 공간으로 사용되고 있다. 카페를 방문 규모에 따른 공간적인 요구사항을 이해할 필요가 있는데, 좁은 카페의 경우, 더 넓고 높고 깊게 보일 수 있는 디자인 방법을 파악하는 것은 이용자나 디자이너들에게 도움이 될 수 있다. 본 연구는 공간의 깊이감과 머물고 싶은 의사의 관계를 시선추적기와 공간 이미지를 이용하여 연구한 것이다. 56명의 실내디자인 학생들은 15개의 렌더링으로 개발된 이미지를 함께 비교하여 보며, 어떤 공간이 가장 깊어 보이는지에 대해 응답하였다. 또한 주어진 공간을 카페로 가정하여 1인 방문 시, 그리고 단체로 방문 시 각각 어느 공간에 머물고 싶은지 응답하였다. 공간을 탐색하는 과정의 시선은 시선추적기를 통해 측정되었다. 연구의 결과, 동일한 규모의 공간일지라도 실내 및 가구요소에 따라 깊이감이 다르게 느껴짐을 보여준다. 어두운 벽에 작은 장식과 분리된 가구가 있는 공간이 밝은 톤의 벽에 큰 장식이 있거나 아예 장식이 없는 경우, 그리고 하나로 연결된 가구가 있는 공간보다 더 깊어 보인다고 인식되었다. 공간의 깊이감은 1인 방문자에게 중요한 요소이나, 여럿이 방문한 경우에는 큰 고려 요소는 아니었다. 연구의 결과는 공간의 깊이감이 카페 방문객의 규모와 관련해 머물고 싶은 의도에 어떤 역할을 하는지 밝히는데 도움이 되리라 본다.