• Proceedings of the KIEE Conference
• /
• 2007.04b
• /
• pp.143-145
• /
• 2007

화력발전소 S/Y(switchyard)의 362 kV GIS에 대한 부분방전 정밀측정을 수행하였다. 2005년 부터 화력발전소 S/Y GIS의 고장예방을 위해 설치 운전승인 UHF 부분방전 상시감시시스템에서 상당히 큰 부분 방전신호가 지속적으로 감지되었다. 상시감시시스템에서 방전신호의 원인을 부유전극으로 추정하였으며, 이에 해당 사업소에서 감지된 방전신호의 노이즈 여부 및 방전 발생위치 추정을 위한 기술지원을 요청하였다. 이에 따라 전력연구원은 방전신호를 정밀 측정한 후 PRPD(phase resolved partial discharge) 분석을 통해 부유전극이 GIS 내부에 존재함을 확인하였으며, TOA(time of arrival)법에 의해 제 1 발전기 step-up 변압기부터 인근 가스절연모선 사이에 결함이 존재하는 것으로 추정하였다. 전력연구원의 측정결과를 바탕으로 발전소측에서 해당 개소를 분해 점검한 결과 가스절연모선의 중앙도체를 지지하는 supporting insulator 금구류의 접촉불량에 의한 부유전극 결함을 발견하고 보수하였다. 보수후 상시감시시스템에서 방전신호가 검출되지 않음에 따라 방전원인이 제거되었음을 확인하였다.

• The Transactions of The Korean Institute of Electrical Engineers
• /
• v.65 no.8
• /
• pp.1436-1441
• /
• 2016

Currently, partial discharge diagnosis in the field of prevention applied technology and diagnostic equipment is a possible strong limit to remove the noise generated by external or internal I still have one unreliable diagnosis. This technology is the noise removal from signal the time lag analysis algorithms technique is applied by a fundamental. Increasing the reliability in terms of technology spectrum frequence of analysis method for by applying the acquisition through the position of the frequency content and sources of traffic lights partial discharge of the acquisition of signal analysis to judge whether a way diagnosis the environment of the scene, and conditions. Partial discharge signal and make the discharge while building blocks were found through the Analysis. Spectrum frequence of Analysis and wide discharge part, to be more precise, in line with the various functions, including the analysis technique band. Diagnosis and comes up with advanced technology that can detect the presence of a position. This method is portable single device developed for maintenance and mobility and ease and convenience of getting caught by discharge of the pattern analysis and position detection method suitable for a new diagnosis will suggest.

• Journal of the Institute of Convergence Signal Processing
• /
• v.21 no.1
• /
• pp.7-12
• /
• 2020

Various parameters are used to measure anesthetic depth during surgery using brain waves, and in actual clinical use, the linear analysis SEF is widely used. However, with recent studies showing that biological signals including EEG, contain nonlinear properties interest in nonlinear analysis of brain signals is increasing and parameters based on these are being developed. In this study, we are going to develop a parameter that can measure EEG using the nonlinear analysis method and extract noise that can be mixed with external electronic equipment and EEG instrumentation by comparing it with the data from the bispectrum analysis of static waves.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.18 no.1
• /
• pp.77-84
• /
• 2023

In autonomous robots, obstacle avoidance is a key feature. Potential Field is the most widely used method in this field. Such method requires real-time calculation of the nearest point of the obstacle from the robot, which involves difficulty of reliably segmenting the obstacle region from the distance sensor data profile. In this paper, Active Min-Depth Filter is introduced to obtain the nearest point of each obstacle using real-time calculation but without segmentation. Through simulations on various sensor noise environments, the robustness of the Active Min-Depth Filter could be confirmed, and successful results were obtained by applying real-world moving robots.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2021.06a
• /
• pp.202-202
• /
• 2021

최근 국내·외에서는 산지에서 발생하는 토사재해를 관리하기 위하여 유사이송해석에 필수적인 요소인 소류사량 추정 방안에 대한 연구가 활발히 진행되고 있다. 음향센서가 내장되어 있는 파이프 하이드로폰은 소류사 입자가 충돌 또는 통과하면서 발생하는 음향을 계측하여 소류사량을 간접적으로 계측하는 방법이다. 하이드로폰에 계측된 음향신호는 신호의 정점을 연결한 포락선 신호로 변환되며, 증폭기에 의해 다양한 배율의 신호로 증폭된다. 이렇게 증폭되어진 여러 배율의 신호와 원시신호는 데이터로거에 의해 지속적으로 기록되고, 가공처리하며 검출된 음향 펄스 수와 특정 시간간격의 음압적분치를 이용하여 소류사량을 추정하게 된다. 본 연구에서는 하이드로폰에 계측되는 소류사의 충돌음으로부터 정량적인 소류사량을 추정하기 위한 실험적 연구를 수행하였다. 단일 입경 6종류와 유속 3종류 및 소류사량 5단계로 변화를 주었으며 디노이징 필터를 통해 원시신호의 노이즈를 제거함으로써, 소류사량 추정률의 성능을 높이고자 하였다. 원시신호와 디노이징 음향신호를 비교·분석한 결과 제안된 방법이 기존 원시신호 보다 높은 소류사량 추정률을 보이는 것으로 나타났으며, 단일 입경 연속공급실험을 수행하여 소류사량 추정 가능성을 확인하였다. 향후 혼합 입경 소류사량 추정 실험 및 다양한 입경을 활용한다면 높은 소류사량 추정률을 얻을 것으로 기대된다.

• Journal of Software Assessment and Valuation
• /
• v.15 no.1
• /
• pp.79-86
• /
• 2019

Software dimension reduction identifies the commonality of elements and extracts important feature elements. So it reduces complexity by simplify and solves multi-collinearity problems. And it reduces redundancy by performing redundancy and noise detection. In this study, we proposed defect severity-based dimension reduction model. Proposed model is applied defect severity-based NASA dataset. And it is verified the number of dimensions in the column that affect the severity of the defect. Then it is compares and analyzes the dimensions of the data before and after reduction. In this study experiment result, the number of dimensions of PC4's dataset is 2 to 3. It was possible to reduce the dimension.

• Journal of radiological science and technology
• /
• v.38 no.4
• /
• pp.365-374
• /
• 2015

The regular quality assurance (RQA) of X-ray images is essential for maintaining a high accuracy of diagnosis. This study was to evaluate the modulation transfer function (MTF), the noise power spectrum (NPS), and the detective quantum efficiency (DQE) of a computed radiography (CR) system for various periods of use from 2006 to 2015. We measured the pre-sampling MTF using the edge method and RQA 5 based on commission standard international electro-technical commission (IEC). The spatial frequencies corresponding to the 50% MTF for the CR systems in 2006, 2009, 2012 and 2015 were 1.54, 1.14, 1.12, and $1.38mm^{-1}$, respectively and the10% MTF for 2006, 2009, 2012, and 2015 were 2.68, 2.44, 2.44, and $2.46mm^{-1}$, respectively. In the NPS results, the CR systems showed the best noise distribution in 2006, and with the quality of distributions in the order of 2015, 2009, and 2012. At peak DQE and DQE at $1mm^{-1}$, the CR systems showed the best efficiency in 2006, and showed better efficiency in order of 2015, 2009, and 2012. Because the eraser lamp in the CR systems was replaced, the image quality in 2015 was superior to those in 2009 and 2012. This study can be incorporated into used in clinical QA requiring performance and evaluation of the performance of the CR systems.

• Journal of Food Hygiene and Safety
• /
• v.22 no.3
• /
• pp.173-178
• /
• 2007

Children may respond differently to the caffeine from adults because they have different physiologic makeup and are functionally immature in terms of hepatic and renal function; this leads to the slower clearance of caffeine in early life. Therefore, children are often assumed to be more susceptible to caffeine effects. Alarge number of food supplements may interfere with these processes, and therefore caffeine exposure may have more serious consequences for children than for adults, irrespective of sensitivity. However, there has never been a national dietary survey on caffeine intakes in children. The purpose of our study was to identify caffeine intakes and beverage sources of caffeine in a representative sample of children in Busan, Korea. Caffeine intakes were based only on beverages included in the Continuing Surveys of Food Intakes by individuals. The caffeine content of the beverages ranged from 2.8 to 65.2mg/100ml for cola, soft drinks, and teas. Caffeine was not completely absent from caffeine-free colas, juice, and milk. In this study, cola-type beverages were an important dietary source of caffeine in the children. Daily caffeine intake for children was estimated to range from 12.5 to 250 mg/day. In general, the acceptable daily intake (ADI) of caffeine should cover the entire population including children. Therefore, special considerations should be needed regarding the consumption of soft drinks containing caffeine to children below the 12 years of age.

• Journal of KIISE:Information Networking
• /
• v.32 no.3
• /
• pp.318-326
• /
• 2005

This paper presents the image feature extraction method and the image classification technique to select the harmful image flowed from the Internet by grade of image contents such as harmlessness, sex-appealing, harmfulness (nude), serious harmfulness (adult) by the characteristic of the image. In this paper, we suggest skin area detection technique to recognize whether an input image is harmful or not. We also propose the ROI detection algorithm that establishes region of interest to reduce some noise and extracts harmful degree effectively and defines the characteristics in the ROI area inside. And this paper suggests the multiple-SVM training method that creates the image classification model to select as 4 types of class defined above. This paper presents the multiple-SVM classification algorithm that categorizes harmful grade of input data with suggested classification model. We suggest the skin likelihood image made of the shape information of the skin area image and the color information of the skin ratio image specially. And we propose the image feature vector to use in the characteristic category at a course of traininB resizing the skin likelihood image. Finally, this paper presents the performance evaluation of experiment result, and proves the suitability of grading image using image feature classification algorithm.

• Journal of Korea Multimedia Society
• /
• v.8 no.10
• /
• pp.1369-1382
• /
• 2005

Vehicle segmentation, which extracts vehicle areas from road scenes, is one of the fundamental opera tions in lots of application areas including Intelligent Transportation Systems, and so on. We present a vehicle segmentation approach for still images captured from outdoor CCD cameras mounted on the supporting poles. We first divided the input image into a set of two-dimensional grids and then calculate the feature values of the edges for each grid. Through analyzing the feature values statistically, we can find the optimal rectangular grid area of the vehicle. Our preprocessing process calculates the statistics values for the feature values from background images captured under various circumstances. For a car image, we compare its feature values to the statistics values of the background images to finally decide whether the grid belongs to the vehicle area or not. We use dynamic programming technique to find the optimal rectangular gird area from these candidate grids. Based on the statistics analysis and global search techniques, our method is more systematic compared to the previous methods which usually rely on a kind of heuristics. Additionally, the statistics analysis achieves high reliability against noises and errors due to brightness changes, camera tremors, etc. Our prototype implementation performs the vehicle segmentation in average 0.150 second for each of $1280\times960$ car images. It shows $97.03\%$ of strictly successful cases from 270 images with various kinds of noises.