• Journal of Biomedical Engineering Research
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• v.22 no.3
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• pp.249-257
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• 2001

The voluntary contracted EMG signal of spinal cord injured patients is very small because the information from central nervous system is not sufficiently transmitted to $\alpha$ motor neuron or muscle fiber. Therefore the acquisited EMG signal from needle or surface electrodes can not be identified obvious voluntary contraction pattern by muscle movement. In this paper we propose the extraction technique of voluntary muscle contraction and relaxation pattern from EMG signal of spinal cord injured patient whose EMG signal is composed of the linear sum of mo색 unit action potentials with two noise sources, additive noise assumed to be white Gaussian noise and high frequency discharge assumed to be not motor unit action potential but impulsive noise. In order to eliminate impulsive noise and additive noise from voluntary contracted EMG signal, we use the FatBear filter which is a nonarithmetic piecewise constant filter, and multiscale nonlinear wavelet denoising processing, respectively. The proposed technique is applied to the EMG signal acquisited from transverse myelitis patients to extract voluntary muscle contraction pattern.

• 한국지구물리탐사학회:학술대회논문집
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• 2006.06a
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• pp.281-284
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• 2006

The resistive V dipole (RVD) is a V antenna with both arms loaded with the continuous Wu-King resistive profile. The RVD has many advantages for surface and subsurface probing, such as the ability to radiate a short pulse in a desired direction. The radiated pulse is simply related to the input pulse, e.g., derivative. In addition, it mostly eliminates the multiple reflections between the surface of the ground and the antenna because of its low radar cross section. The drawbacks of the RVD include the high input impedance and the difficulty in implementation. This paper presents ways to improve the accuracy and easiness of the implementation and to improve the low-frequency performance while maintaining the characteristics of the V antenna that are good for probing applications. The implemented antenna is used to form a bistatic radar to scan targets underground, and the result is imaged.

• Economic and Environmental Geology
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• v.37 no.5
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• pp.543-554
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• 2004

Analysis of multi-channel seismic reflection and well data serves to detail the structural evolution of the northern Okinawa Trough, southern offshore Korea. The overall structural style of the area is characterized by a series of half grabens and tilted fault blocks bounded by basement-involved listric normal faults. Most half grabens and tilted fault blocks developed in the direction of NNE-SSW, parallel to the axis of the Okinawa Trough. Orientation and distribution of the listric faults also suggest the development of transfer faults in NW-SE direction. The rifting phase of the northern Okinawa Trough have been established on the basis of structural and stratigraphic analyses of depositional sequences and their seismic expressions. Major phase of rifting probably started in the Late Miocene and the most active rifting occurred during the Early Pliocene. The rifting produced a series of half grabens and tilted fault blocks bounded by listric normal faults. It appears that the rifting activity has become weaker since the Late Pliocene, but the Pleistocene sediments faulted by listric faults bounding tilted fault blocks suggest that the rifting activity is probably still in progress.

• Korean Journal of Remote Sensing
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• v.32 no.6
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• pp.647-656
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• 2016

Growth of UAV technology leads to expansion of UAV image applications. Many UAV image-based applications use a method called incremental bundle adjustment. However, incremental bundle adjustment produces large computation overhead because it attempts feature matching from all image pairs. For efficient feature matching process we have to confine matching only for overlapping pairs using exterior orientation parameters. When exterior orientation parameters are not available, we cannot determine overlapping pairs. We need another methods for feature matching candidate constitution. In this paper we compare matching candidate constitution methods without exterior orientation parameters, including partial feature matching, Bag-of-keypoints, image intensity method. We use the overlapping pair determination method based on exterior orientation parameter as reference. Experiment results showed the partial feature matching method in the one with best efficiency.

• Journal of the Korean Society for Precision Engineering
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• v.28 no.4
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• pp.482-489
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• 2011

In practical design process, designer needs to find an optimal solution by using full factorial discrete combination, rather than by using optimization algorithm considering continuous design variables. So, ANOVA(Analysis of Variance) based on an orthogonal array, i.e. Taguchi method, has been widely used in most parts of industry area. However, the Taguchi method is limited for the shape optimization by using CAE, because the multi-level and multi-objective optimization can't be carried out simultaneously. In this study, a combined method was proposed taking into account of multi-level computational orthogonal array and TOPSIS(Technique for Order preference by Similarity to Ideal Solution), which is known as a classical method of multiple attribute decision making and enables to solve various decision making or selection problems in an aspect of multi-objective optimization. The proposed method was applied to a case study of the multi-level shape optimization of lower arm used to automobile parts, and the design space was explored via an efficient application of the related CAE tools. The multi-level shape optimization was performed sequentially by applying both of the neural network model generated from seven-level four-factor computational orthogonal array and the TOPSIS. The weight and maximum stress of the lower arm, as the objective functions for the multi-level shape optimization, showed an improvement of 0.07% and 17.89%, respectively. In addition, the number of CAE carried out for the shape optimization was only 55 times in comparison to full factorial method necessary to 2,401 times.

• Proceedings of the Korean Vacuum Society Conference
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• 2011.02a
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• pp.241-241
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• 2011

최근들어 저온플라즈마를 이용한 생물학적 응용분야가 각광을 받고 있다. 특히 전기전도도를 가진 전해질 내에서 형성된 액상 플라즈마는 열손상없이 암, 세균 및 비정상 장기조직의 제거가 가능하다는 점에서 기존 시술들이 가지는 문제를 해결할 수 있다. 허리통증을 유발하는 탈출 수핵을 대용량으로 제거하기위한 플라즈마발생 전극에 관한 연구가 수행되었다. 수핵 분해량을 늘리기 위해서는 플라즈마를 통하여 다량의 수산화기 라디컬을 형성, 수핵표면에 조사해야 한다. 이를 위하여 6개의 텅스텐 전극표면에서 기포를 발생시켜 플라즈마 발생면적을 넓힐 수 있었다. 텅스텐 전극들은 캡톤코딩과 세라믹 스페이서를 통하여 분리되었고, 전극의 후방에는 SUS 재질의 환형 접지전극을 배치하여 6개의 텅스텐 전극표면에서 모두 기포가 발생할 수 있도록 하였다. 시술적용시 플라즈마 및 전극이 가지는 제한 조건은 단백질 변성을 막기위한 섭씨 45도 이하의 온도 상승과 조직에 대한 기계적인 손상 방지를 위한 2.5 mm 이하의 전체 전극 굵기이다. 이를 만족하는 가운데 수산화기 라디컬 형성을 증대할 수 있는 전극의 구조를 결정하기 위하여 1-D 전기 열유체 모델 도입하였다. 모델에서 도출된 기포의 두께를 바탕으로 다중전극간의 거리 조절을 통하여 플라즈마 방전구조를 전극 - 전극 (기포두께${\times}2$ > 전극간 거리)과 전극 - 기포표면 (기포두께${\times}2$ < 전극간 거리)으로 통제하였다. 형성된 플라즈마의 소모전력, 전자 밀도및 수산화기 라디컬의 회전온도를 분석하기 위하여 0.9% 염화나트륨 수용액, 1.6 S/m, 전해질에서 플라즈마 형성를 형성하고 전기신호 및 광학신호를 관측하였다. 전극에 인가된 전압은 340 VRMS이며 운전주파수는 380 kHz이다. 실험 결과, 전극 - 기포표면 방전구조는 전극 -전극 방전구조에 비하여 전해질의 저항역할로 인하여 방전전류가 3.4 Ipp에서 1.6 Ipp로 감소하였으나, 기포표면에서의 물분자의 분해로 인하여 수산화기 라디컬에서의 발광세기는 약 4배 증가하였다. 또한 수산화기의 회전온도 분포상에서도 전극 - 기포표면 방전은 주변 물분자의 열교환으로 인하여 전극 -전극간 방전의 1500K 에 비하여 낮은 400K를 보였다. 이는 전극-기포표면 방전구조의 전극이 낮은 온도의 수산화기를 다량으로 형성할 수 있음을 시사하며, 카데바를 이용한 실험에서 220초에 걸쳐 약 87%의 수핵을 기계적 손상 및 단백질 변형없이 효과적으로 제거함을 확인하였다.

• Economic and Environmental Geology
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• v.44 no.5
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• pp.345-357
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• 2011

It was carried out to the survey on the lead-zinc and tungsten occurrences in the Kau Loc mineralized belt within northern Vietnam. The lead-zinc occurrence bear the ore body parallel to the bedding of limestone formation. Assuming the surface grade and geological reserve, Pb+Zn deposit is estimated to the small to medium-sized ore deposit. On the other hand, considering the distribution of small-scale stock intruding the Devonian limestone, it is thought that the tungsten occurrence has the proper geological conditions anticipating the presence of skarn mineralization. However, there is no evidence to recognize economic feasibility in the present situation because of the absence of detailed geology and ore deposit survey on the tungsten occurrence.

• Korean Journal of Remote Sensing
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• v.35 no.5_1
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• pp.727-736
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• 2019

In this paper, we present how to create a point cloud for a target area using multiple unmanned aerial vehicle images and to remove the gaps and overlapping points between datasets. For this purpose, first, IBA (Incremental Bundle Adjustment) technique was applied to correct the position and attitude of UAV platform. We generate a point cloud by using MDR (Multi-Dimensional Relaxation) matching technique. Next, we register point clouds based on observation vectors between stereo images by doing this we remove gaps between point clouds which are generated from different stereo pairs. Finally, we applied an occupancy grids based integration algorithm to remove duplicated points to create an integrated point cloud. The experiments were performed using UAV images, and our experiments show that it is possible to remove gaps and duplicate points between point clouds generated from different stereo pairs.

• Journal of the Korea Convergence Society
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• v.13 no.2
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• pp.281-291
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• 2022

The purpose of this study was to identify the influencing factors on the breast self-examination performance among nursing students. The data collection period was from April 12 to April 26, 2021. Data was gathered from 240 nursing students by using a structured questionnaire. The data was analyzed using Pearson's correlation coefficients and a stepwise regression analysis using the SPSS/WIN 25.0 program. As the result of this study, the factors influencing breast self-examination perfomance were found to be breast self-examination and dietary habits with the explanatory power of these variables being 14.2%(F=19.53, 𝜌<.001). Based on this study, further study may be needed to evaluate the dietary habits of nursing students so that they can practice proper eating behavior. In addition, to maximize the educational effect, there may need to be a development of programs aimed to prevent breast cancer among nursing students.

• Phonetics and Speech Sciences
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• v.14 no.4
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• pp.35-43
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• 2022

This paper studies how to improve the identification rate of laryngeal disability speech data by convolutional neural network (CNN) and machine learning ensemble learning methods. In general, the number of laryngeal dysfunction speech data is small, so even if identifiers are constructed by statistical methods, the phenomenon caused by overfitting depending on the training method can lead to a decrease the identification rate when exposed to external data. In this work, we try to combine results derived from CNN models and machine learning models with various accuracy in a multi-voting manner to ensure improved classification efficiency compared to the original trained models. The Pusan National University Hospital (PNUH) dataset was used to train and validate algorithms. The dataset contains normal voice and voice data of benign and malignant tumors. In the experiment, an attempt was made to distinguish between normal and benign tumors and malignant tumors. As a result of the experiment, the random forest method was found to be the best ensemble method and showed an identification rate of 85%.