• 대한의용생체공학회:의공학회지
• /
• 제36권5호
• /
• pp.228-234
• /
• 2015

The balance ability significantly decreased in the elderly because of deterioration of the neural musculature regulatory mechanisms. Several studies have investigated methods of improving balance ability using real-time systems, but it is limited by the expensive test equipment and specialized resources. Recently, Kinect system based on depth data has been applied to address these limitations. Little information about accuracy/inaccuracy of Kinect system is, however, available, particular in motion analysis for evaluation of effectiveness in rehabilitation training. Therefore, the aim of the current study was to evaluate accuracy/inaccuracy of Kinect system in specific rotational movement for balance rehabilitation training. Six healthy male adults with no musculoskeletal disorder were selected to participate in the experiment. Movements of the participants were induced by controlling the base plane of the balance training equipment in directions of AP (anterior-posterior), ML (medial-lateral), right and left diagonal direction. The dynamic motions of the subjects were measured using two Kinect depth sensor systems and a three-dimensional motion capture system with eight infrared cameras for comparative evaluation. The results of the error rate for hip and knee joint alteration of Kinect system comparison with infrared camera based motion capture system occurred smaller values in the ML direction (Hip joint: 10.9~57.3%, Knee joint: 26.0~74.8%). Therefore, the accuracy of Kinect system for measuring balance rehabilitation traning could improve by using adapted algorithm which is based on hip joint movement in medial-lateral direction.

• Fisheries and Aquatic Sciences
• /
• 제15권4호
• /
• pp.337-343
• /
• 2012

The Korean bottom trawl survey was conducted using a trawl designed by the National Fisheries Research and Development Institute (NFRDI). The capture efficiency and size selectivity of this trawl for snow crab Chionoecetes opilio was investigated by experimental tows. An auxiliary sampling net (underbag) was attached beneath the trawl net to capture crabs escaping under the trawl footrope. Experimental tows were made by the same vessel speed (3.4 knots) as in the bottom trawl survey, but toing time was shortened from the standard 30 min to 10 min to reduce possible trawl distortion due to the high catch rate of mud and debris in the underbag. In averaged over 17 tows conducted between 110-383 m depth, trawl efficiency of both males and females combined increased from about 10% at 20 mm (carapace width) to about 70% at 100 mm, with a width of 50% capture equal to 78 mm.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제10권6호
• /
• pp.2730-2747
• /
• 2016

Due to the limitation of the bandwidth resource and capture resolution of depth cameras, low resolution depth maps should be up-sampled to high resolution so that they can correspond to their texture images. In this paper, a novel depth map up-sampling algorithm is proposed by exploiting the fractal internal self-referential feature. Fractal parameters which are extracted from a depth map, describe the internal self-referential feature of the depth map, do not introduce inherent scale and just retain the relational information of the depth map, i.e., fractal transforms provide a resolution-independent description for depth maps and could up-sample depth maps to an arbitrary high resolution. Then, an enhancement method is also proposed to further improve the performance of the up-sampled depth map. The experimental results demonstrate that better quality of synthesized views is achieved both on objective and subjective performance. Most important of all, arbitrary resolution depth maps can be obtained with the aid of the proposed scheme.

• 문화기술의 융합
• /
• 제9권5호
• /
• pp.849-857
• /
• 2023

볼류메트릭 스튜디오는 XR 콘텐츠 시장의 성장을 견인하고 있다. 이에 따라, 볼류메트릭 캡처 기술에 관한 기술적 연구 수요가 증가하고 있다. 이 연구에서는 댄서들의 움직임을 3D 영상 이미지로 캡처하는 과정과 결과를 분석하였으며, 유의미한 결과를 얻기 위해 볼류메트릭 스튜디오의 인프라와 워크플로우를 평가하여 볼류메트릭 캡처 기술의 실제적 방법론에 관해 탐색하였다. 본 연구를 통해 볼류메트릭 스튜디오 내에서 영상 이미지 왜곡과 렌더링 시간과 관련된 제한사항들이 확인되었다.

• 한국통신학회논문지
• /
• 제36권12C호
• /
• pp.738-743
• /
• 2011

고해상도 3차원 깊이 영상은 고품질의 3차원 방송을 위해 필요한 중요한 정보이다. 깊이 카메라는 정확한 깊이 정보를 실시간으로 얻을 수 있지만, 카메라 물리적 한계로 인해 저해상도의 깊이 영상만 이용한다. 본 논문에서는 저해상도의 깊이 영상과 색상 영상을 이용하여 색상 영상을 보간 하는 방법을 제안한다. 제안하는 방법은 랜덤워크 확률 모델을 이용하여 각 화소들이 초기 깊이값과 같을 확률값을 정의하여 가장 높은 확률을 가지는 초기 깊이값을 나머지 화소들에 복사한다. 제안한 방법은 인접한 화소들만을 이용하는 것이 아니라 경로를 따라 비용을 계산함으로써, 여러 화소에 걸친 색상의 변화율이 고려되어 물체의 경계 주변에서 색상 영역과 깊이 영상간의 경계가 일치하는 향상된 깊이 영상을 얻을 수 있다.

• Nuclear Engineering and Technology
• /
• 제56권5호
• /
• pp.1813-1821
• /
• 2024

Beam shaping assembly (BSA) is a vital component in Boron Neutron Capture Therapy (BNCT) for obtaining epithermal neutron beams. Several feasible designs of BSA for accelerator-based BNCT (AB-BNCT) neutron source are carried out based on neutrons by bombarding a natural lithium target with 10 mA, 2.8 MeV proton beams. The calculation results demonstrate that a thickness of 45 cm is appropriate for general moderators referring to the therapeutic parameter of Advanced Depth (AD). A series of optimizations are performed and two results are confirmed: One is that employing the configuration of MgF₂ and FLUENTAL combined by 1:1 could improve the therapeutic rate (TR) of tumors at a depth of middle region, and the other one is that the TR of superficial tumors can be increased by adding a 5 cm thick boron-11 secondary moderator at the end of general moderators. As a result, an innovative conception of an adjustable moderator is recommended to BNCT. Compared to the MgF₂ moderator with a fixed thickness of 45 cm, the TR value can be improved by a maximum of 47.7 % by using the adjustable moderator. Furthermore, the configuration of adjustable moderator has been designed with regulation method for treating tumors of different depths.

• 한국전문물리치료학회지
• /
• 제29권4호
• /
• pp.262-268
• /
• 2022

Background: Virtual reality (VR) programs based on motion capture camera are the most convenient and cost-effective approaches for remote rehabilitation. Assessment of physical function is critical for providing optimal VR rehabilitation training; however, direct muscle strength measurement using camera-based kinematic data is impracticable. Therefore, it is necessary to develop a method to indirectly estimate the muscle strength of users from the value obtained using a motion capture camera. Objects: The purpose of this study was to determine whether the pedaling speed converted using the VR engine from the captured foot position data in the VR environment can be used as an indirect way to evaluate knee muscle strength, and to investigate the validity and reliability of a camera-based VR program. Methods: Thirty healthy adults were included in this study. Each subject performed a 15-second maximum pedaling test in the VR and built-in speedometer modes. In the VR speedometer mode, a motion capture camera was used to detect the position of the ankle joints and automatically calculate the pedaling speed. An isokinetic dynamometer was used to assess the isometric and isokinetic peak torques of knee flexion and extension. Results: The pedaling speeds in VR and built-in speedometer modes revealed a significantly high positive correlation (r = 0.922). In addition, the intra-rater reliability of the pedaling speed in the VR speedometer mode was good (ICC [intraclass correlation coefficient] = 0.685). The results of the Pearson correlation analysis revealed a significant moderate positive correlation between the pedaling speed of the VR speedometer and the peak torque of knee isokinetic flexion (r = 0.639) and extension (r = 0.598). Conclusion: This study suggests the potential benefits of measuring the maximum pedaling speed using 3D depth camera in a VR environment as an indirect assessment of muscle strength. However, technological improvements must be followed to obtain more accurate estimation of muscle strength from the VR cycling test.

• 디지털콘텐츠학회 논문지
• /
• 제13권3호
• /
• pp.271-278
• /
• 2012

적외선 기반 깊이 센서는 최근 저렴해진 가격으로 인해 소비자용으로 널리 보급되고 있으며 원래 목적을 넘어서 방송용 가상 스튜디오 제스처 인식을 포함한 다양한 분야로까지 적용 범위를 확대하고 있다. 그러나 이러한 방송 스튜디오 환경에서는 깊이 센서와 간섭을 일으키는 적외선이 다량 방출되어 올바른 깊이 정보의 포착이 불가능한 문제가 발생한다. 본 논문에서는 특정 적외선 파장대를 사용하는 깊이 센서가 적외선 방출 광원 하에서 간섭이 발생하는 원리에 대해 분석하고 깊이 센서의 올바른 작동을 보장하기 위한 필터링 기법을 논의한다. 또한 여러 차단 주파수대를 가지는 통과 필터를 적용하는 실험방법과 그 결과를 제시하며 올바른 대역 통과 필터를 적용함으로써 조명에서 방출되는 적외선을 차단하고 효과적으로 깊이 정보를 포착할 수 있다는 사실을 실험적으로 증명한다.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제17권8호
• /
• pp.2068-2082
• /
• 2023

With the rapid development of deep learning, Depth Map Super-Resolution (DMSR) method has achieved more advanced performances. However, when the upsampling rate is very large, it is difficult to capture the structural consistency between color features and depth features by these DMSR methods. Therefore, we propose a color-image guided DMSR method based on iterative depth feature enhancement. Considering the feature difference between high-quality color features and low-quality depth features, we propose to decompose the depth features into High-Frequency (HF) and Low-Frequency (LF) components. Due to structural homogeneity of depth HF components and HF color features, only HF color features are used to enhance the depth HF features without using the LF color features. Before the HF and LF depth feature decomposition, the LF component of the previous depth decomposition and the updated HF component are combined together. After decomposing and reorganizing recursively-updated features, we combine all the depth LF features with the final updated depth HF features to obtain the enhanced-depth features. Next, the enhanced-depth features are input into the multistage depth map fusion reconstruction block, in which the cross enhancement module is introduced into the reconstruction block to fully mine the spatial correlation of depth map by interleaving various features between different convolution groups. Experimental results can show that the two objective assessments of root mean square error and mean absolute deviation of the proposed method are superior to those of many latest DMSR methods.

• International Journal of Computer Science & Network Security
• /
• 제22권10호
• /
• pp.262-270
• /
• 2022

In the past two decades, there has been an increasing interest in project knowledge management, as knowledge is a crucial resource for project management success. Knowledge capture and sharing are two effective project management practices. Capturing and sharing project knowledge has become more efficient due to technological advances. Nevertheless, present technologies face several technical, functional, and usage obstacles and constraints. Thus, Blockchain technology might provide promising answers, yet, there is still a dearth of understanding regarding the technology's proper and practical application. Consequently, the goal of this study was to fill the gap in the literature about the adoption of Blockchain technology and to investigate the project stakeholders' acceptance and willingness to utilize the technology for capturing and sharing project knowledge. Due to this inquiry's exploratory and inductive characteristics, qualitative research methodology was used, namely the Grounded Theory research approach. Accordingly, eighteen in-depth, semi-structured interviews were conducted to collect the data. Concurrent data collection and analysis were undertaken, with findings emerging after three coding steps. Four influencing factors and one moderating factor were identified as affecting users' acceptance of Blockchain technology for capturing and sharing project knowledge. Consequently, the results of the study aimed to fill a gap in the existing literature by undertaking a comprehensive analysis of the unrealized potential of Blockchain technology to improve knowledge capture and sharing in the project management environment.