• Title/Summary/Keyword: post data processing

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Study on Enhancements to Ultrasonic Data Imaging Using Full Matrix Capture Technique (Full Matrix Capture 기법을 통한 초음파신호 영상화 향상 연구)

  • Lee, Tae-Hun;Yoon, Byung-Sik;Lee, Jeong-Seok
    • Journal of the Korean Society for Nondestructive Testing
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    • v.35 no.5
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    • pp.299-306
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    • 2015
  • A conventional phased array system can control an ultrasonic beam electronically by adjusting the excitation time delay of individual elements in a multi-element probe and produce an ultrasonic image. In Contrast, full matrix capture (FMC) is a data acquisition process that allows receiving ultrasonic signals from one single shot of the phased array transducer element through all the other elements and captures the complete dataset from every possible transmit-receive combination. This FMC data can be used to create the ultrasonic image in post processing. It is possible to produce not only images equivalent to conventional phased array image but also total focusing method (TFM) images with improved resolution and sharpness, which is virtually focused at any point in a region of interest. In this paper, the system that can perform FMC by using a conventional phased array instrument is developed, and a study was conducted on the imaging algorithms to reconstruct sector B-scan and TFM images from FMC dataset.

CNVR Detection Reflecting the Properties of the Reference Sequence in HLA Region (레퍼런스 시퀀스의 특성을 고려한 HLA 영역에서의 CNVR 탐지)

  • Lee, Jong-Keun;Hong, Dong-Wan;Yoon, Jee-Hee
    • Journal of KIISE:Computing Practices and Letters
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    • v.16 no.6
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    • pp.712-716
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    • 2010
  • In this paper, we propose a novel shape-based approach to detect CNV regions (CNVR) by analyzing the coverage graph obtained by aligning the giga-sequencing data onto the human reference sequence. The proposed algorithm proceeds in two steps: a filtering step and a post-processing step. In the filtering step, it takes several shape parameters as input and extracts candidate CNVRs having various depth and width. In the post-processing step, it revises the candidate regions to make up for errors potentially included in the reference sequence and giga-sequencing data, and filters out regions with high ratio of GC-contents, and returns the final result set from those candidate CNVRs. To verify the superiority of our approach, we performed extensive experiments using giga-sequencing data publicly opened by "1000 genome project" and verified the accuracy by comparing our results with those registered in DGV database. The result revealed that our approach successfully finds the CNVR having various shapes (gains or losses) in HLA (Human Leukocyte Antigen) region.

Low-Level Wind Shear (LLWS) Forecasts at Jeju International Airport using the KMAPP (고해상도 KMAPP 자료를 활용한 제주국제공항에서 저층 윈드시어 예측)

  • Min, Byunghoon;Kim, Yeon-Hee;Choi, Hee-Wook;Jeong, Hyeong-Se;Kim, Kyu-Rang;Kim, Seungbum
    • Atmosphere
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    • v.30 no.3
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    • pp.277-291
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    • 2020
  • Low-level wind shear (LLWS) events on glide path at Jeju International Airport (CJU) are evaluated using the Aircraft Meteorological Data Relay (AMDAR) and Korea Meteorological Administration Post-Processing (KMAPP) with 100 m spatial resolution. LLWS that occurs in the complex terrains such as Mt. Halla on the Jeju Island affects directly aircraft approaching to and/or departing from the CJU. For this reason, accurate prediction of LLWS events is important in the CJU. Therefore, the use of high-resolution Numerical Weather Prediction (NWP)-based forecasts is necessary to cover and resolve these small-scale LLWS events. The LLWS forecasts based on the KMAPP along the glide paths heading to the CJU is developed and evaluated using the AMDAR observation data. The KMAPP-LLWS developed in this paper successfully detected the moderate-or-greater wind shear (strong than 5 knots per 100 feet) occurred on the glide paths at CJU. In particular, this wind shear prediction system showed better performance than conventional 1-D column-based wind shear forecast.

EEG Signal Characteristic Analysis for Monitoring of Anesthesia Depth Using Bicoherence Analysis Method (바이코히어런스 분석 기법을 이용한 마취 단계별 뇌파의 특성 분석)

  • Park Jun-Mo;Park Jong-Duk;Jeon Gye-Rok;Huh Young
    • The Transactions of the Korean Institute of Electrical Engineers D
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    • v.55 no.1
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    • pp.35-41
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    • 2006
  • Although reachers have studied for a long time, they don't make criteria for anesthesia depth. anesthetists can't make a prediction about patient's reaction. Therefor, patients have potential risk such as poisonous side effect late-awake, early-awake and strain reaction. EEG are received from twenty-five patients who agreed to investigate themselves during operation with Enflurane-anesthesis in progress of anesthesia. EEG are divided pre-anesthesia, before incision of skin, operation 1, operation 2, awaking, post-anesthesia by anesthesia progress step. EEG is applied pre-processing, base line correct, linear detrend to get more reliable data. EEG data are handled by electronic processing and the EEG data are calculated by bicoherence. During pre-anesthesia and post anesthesia, appearance rate of bicoherence value is observed strong appearance rate in high frequency range($15\~30Hz$). During the anesthesia of patient, a strong appearance rate is revealed the low frequency area(0~10Hz). After bicoherence is calculated by percentage of a appearance rate, that is, Bicpara$\#$1, Bicpara$\#$2, Bicpara$\#$3 and Bicpara$\#$4 parameter are extracted. In result of bicoherence analysis, Bicpara$\#$2 and Bicpara#4 are considered that the best parameter showed progress of anesthesia effectively. And each separated bicoherence are calculated by average bicoherence's numerical value, divide by 2 area, appear by each BicHz$\#$1, BicHz$\#$2, and observed BicHz$\#$1/BicHz$\#$2's change. In result of bicoherence analysis, BicHz$\#$1, BicHz$\#$2 and BicHz$\#$1/BicHz$\#$2 are considered that the best parameter showed progress of anesthesia effectively. In conclusion, I confirmed the anesthesia progress phase, concluded to usefulness of parameter on bispectrum and bicoherence analysis and evaluated the depth of anesthesia. In the future, it is going to use for doctor's diagnosis and apply to protect an medical accident owing to anesthesia.

A Study on the Synchronous Signal Detection and Error Correction in Radio Data System (RDS 수신 시스템에서 동기식 신호복원과 에러정정에 관한 연구)

  • 김기근;류흥균
    • Journal of the Korean Institute of Telematics and Electronics A
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    • v.29A no.8
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    • pp.1-9
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    • 1992
  • Radio data system is a next-generation broadcasting system of digital information communication which multiplexes the digital data into the FM stereo signal in VHF/FM band and provides important and convenient service features. And radio data are composed of groups which are divided into 4 blocks with information word and check word. In this paper, radio data receiver is developed which recovers and process radio data to provide services. Then we confirm that 7dB SNR is required to be 10S0-5TBER of demodulation. Deconding process of shortened-cyclic-decoder has been simulated by computer. Also, the time-compression (by 16 times) method has been adopted for the RDS features post-processing. Via the error probability calculation, simulation and experimentation, the developed receiver system is proved to satisfy the system specification of EBU and implemented by general logic gates and analog circuits.

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A Study on the Correlation between Job performance and Vocational abilities of People with developmental disabilities (발달장애인의 직무수행도와 직업능력의 상관관계 연구)

  • Kim, Mi-Jung
    • Journal of the Korea Convergence Society
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    • v.12 no.12
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    • pp.427-434
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    • 2021
  • This study was conducted to investigate the job-performance of manual wheelchair post-management and to find out the relationship between job-performance and vocational ability of people with developmental disabilities. In this study, situational evaluation and vocational evaluation were conducted for 9 subjects participated in the vocational training program about manual wheelchair post-management. The data was analyzed by non-parametric statistical processing. As a result, the job-performance was an average of 80.87%. The job-performance had a positive correlations with visual closure, kinesthetic integration, and basic concepts(p<.05). The relationship between job-performance and vocational abilities can be used as basic data for vocational training program and job assignment. It is expected to be useful of spreading the post-management job for assistive technology devices in the local community activated through the convergence of assistive technology and vocational rehabilitation.

Selection of Build Orientation for Reducing Surface Roughness with Stereolithography Parts (광조형물의 표면 거칠기 저감을 위한 성형방향의 선정)

  • 안대건;김호찬;이석희
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1997.10a
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    • pp.137-140
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    • 1997
  • In general, stereolithography parts is not suitable for master pattern. Because of its bad surface roughness. Therefore, To reduce roughness it requires post-process that is depending on user skill and takes long time to do. This study aims to develop an expert system which can select an optimal build orientation, reduce roughness and shorten post-processing time. Genetic Algorithm was introduced for optimization. A simplified computation model was developed for real-time response. For accurate roughness estimation, mterpolation of experimental data was implemented.

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An Ambiguity-free Surface Construction from Volume Data (입체적인 데이터에서 애매성-프리 표면 재구성)

  • Lee, Ee-Taek;Oh, Kwang-Man;Park, Kyu Ho
    • Journal of the Korea Computer Graphics Society
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    • v.4 no.1
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    • pp.55-66
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    • 1998
  • This paper presents a simple method for relieving the ambiguity problems within the sub-voxel based surface-fitting approach for the surface construction. ECB algorithm is proposed to avoid the ambiguity problem which is the root of the holes within the resulting polygon based approximation. The basic idea of our disambiguation strategy is the use of a set of predefined modeling primitives (we call SMP) which guarantees the topological consistency of resulted surface polygons. 20 SMPs are derived from the extension of the concept of the elementary modeling primitives in the CB algorithm [3], and fit one to five faces of them to the iso-surface crossing a cell with no further processing. A look-up table which has a surface triangle list is pre-calculated using these 20 SMPs. All of surface triangles in the table are from the faces of SMPs and are stored in the form of edge list on which vertices of each surface triangle are located. The resulted polygon based approximation is unique at every threshold value and its validity is guaranteed without considering the complicated problems such as average of density and postprocessing. ECB algorithm could be free from the need for the time consuming post-processing, which eliminates holes by revisiting every boundary cell. Through three experiments of surface construction from volume data, its capability of hole avoidance is showed.

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A Study on Implementation of Finger-Print Identification System Using Optical Sensor (광센서를 이용한 지문인식 시스템의 구현에 관한 연구)

  • Shin, Gi-Bong;Jung, Kyong-Hun;Kang, Dong-Wook;Kim, Ki-Doo
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2005.11a
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    • pp.67-69
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    • 2005
  • 지문인식 시스템이란 저장되어서 가지고 있는 지문data와 지금 현재sensor로 입력받은 지문data의 유사도를 측정하는 system이다. 현 시대의 보안에 관한 요구가 많아지면서, 개인password나PIN(Personal Identification Number)같이 외워서 사용해야만 하는 불편함이 없고, 본인임을 쉽게 증명할 수 있는 생체정보를 이용한 ID system이 각광을 받고 있다. 이러한 상황 속에서 가장 손쉽게 접할 수 있는Finger-print Identification system을 구현할 것이다. 지문인식 시스템은 sensor의 방식에 따라 여러가지로 분류되는데, 본 논문에서는 광학방식 센서를 이용한 지문인식 시스템을 구현 하였다. 본 지문인식 시스템은 처음 지문영상을 센서로 입력 받고 그 입력된 영상을 전처리(pre-processing)해서 지문의 특징점을 추출한다. 이렇게 특징점들을 획득한 후, 후처리(post-processing)과정을 거쳐서 database에 저장 한다. 이렇게 지문영상의database를 구성한 후, 비교하고자 하는 지문영상을 센서로 입력 받아 지문영상을 획득할 때와 같은 processing과정을 거치고, 그 결과물과 database에 저장되어있는 지문과 1:N matching을 한다. 이렇게 해서 유사한 지문영상을 유사도에 따라 출력한다.

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Development of Adaptive Noise Cancelling Algorithm for Post Processing of Biomedical Signals

  • Nam, Ji-Hyun;Yoon, Dal-Hwan
    • Proceedings of the IEEK Conference
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    • 2002.07a
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    • pp.500-503
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    • 2002
  • Biomedical signals are ubiquitously contaminated and degraded by background noise which span nearly all frequency bandwidths. This paper proposes the MADF (multiplication free adaptive digital filter) algorithm to cancel the noise. And the convergence characteristics of the algorithm is analyzed. In the experimental results, the MADF algorithm has the advantage in which has superior to a condition of low-frequency and slow data speed. This application gives an important significance in ensuring the objectivity of clinical information and in promoting the representation and the disease diagnosis.

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