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Diagnosis parameters extraction by correlativity analysis of blood pressure(BP) and head blood pressure(HBP) and Development of multi-function automatic blood pressure monitor (상완혈압과 두부혈압의 상관성 분석에 의한 진단요소 추출과 다기능 전자혈압계의 개발)

  • 이용흠;고수복;정동명
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.40 no.6
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    • pp.58-67
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    • 2003
  • Many adult diseases(cerebral apoplexy, athymiait, etc.) result from hypertension, blood circulation disturbance and increment of HBP. In early diagnosis of these diseases, MRI, X-ray and PET have been used rather aim for treatment than prevention of a disease. Since, cerebral apoplexy and athymiait have been caused to the regular/irregular persons, it is very important to measure HBP which has connection with cerebral blood low state. HBP has more diagnosis elements than that of BP. So, we can diagnose accurate hypertension by measuring of HBP. But, existing sphygmomanometers and automatic BP monitors can not measure HBF, and can not execute complex function(measuring of BP/HBP, blood flow improvement). The purpose of this paper is to develop the system and algorithm which can measure BP/HBP for accurate diagnosis. Also, we extracted diagnosis factors by the correlativity analysis of BP/HBP. The maximum pressure of HBP corresponds to 62% that of BP, the minimum pressure of HBP corresponds to 46% that of BP. Therefore, we developed the multi function automatic blood pressure monitor which can measure BP/HBP and improve cerebral blood flow state.

Fingerprint Recognition Algorithm using Clique (클릭 구조를 이용한 지문 인식 알고리즘)

  • Ahn, Do-Sung;Kim, Hak-Il
    • Journal of the Korean Institute of Telematics and Electronics S
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    • v.36S no.2
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    • pp.69-80
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    • 1999
  • Recently, social requirements of personal identification techniques are rapidly expanding in a number of new application ares. Especially fingerprint recognition is the most important technology. Fingerprint recognition technologies are well established, proven, cost and legally accepted. Therefore, it has more spot lighted among the any other biometrics technologies. In this paper we propose a new on-line fingerprint recognition algorithm for non-inked type live scanner to fit their increasing of security level under the computing environment. Fingerprint recognition system consists of two distinct structural blocks: feature extraction and feature matching. The main topic in this paper focuses on the feature matching using the fingerprint minutiae (ridge ending and bifurcation). Minutiae matching is composed in the alignment stage and matching stage. Success of optimizing the alignment stage is the key of real-time (on-line) fingerprint recognition. Proposed alignment algorithm using clique shows the strength in the search space optimization and partially incomplete image. We make our own database to get the generality. Using the traditional statistical discriminant analysis, 0.05% false acceptance rate (FAR) at 8.83% false rejection rate (FRR) in 1.55 second average matching speed on a Pentium system have been achieved. This makes it possible to construct high performance fingerprint recognition system.

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Classification of Scaled Textured Images Using Normalized Pattern Spectrum Based on Mathematical Morphology (형태학적 정규화 패턴 스펙트럼을 이용한 질감영상 분류)

  • Song, Kun-Woen;Kim, Gi-Seok;Do, Kyeong-Hoon;Ha, Yeong-Ho
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.33B no.1
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    • pp.116-127
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    • 1996
  • In this paper, a scheme of classification of scaled textured images using normalized pattern spectrum incorporating arbitrary scale changes based on mathematical morphology is proposed in more general environments considering camera's zoom-in and zoom-out function. The normalized pattern spectrum means that firstly pattern spectrum is calculated and secondly interpolation is performed to incorporate scale changes according to scale change ratio in the same textured image class. Pattern spectrum is efficiently obtained by using both opening and closing, that is, we calculate pattern spectrum by opening method for pixels which have value more than threshold and calculate pattern spectrum by closing method for pixels which have value less than threshold. Also we compare classification accuracy between gray scale method and binary method. The proposed approach has the advantage of efficient information extraction, high accuracy, less computation, and parallel implementation. An important advantage of the proposed method is that it is possible to obtain high classification accuracy with only (1:1) scale images for training phase.

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Extraction of Representative Color of Digital Images Using Histogram of Hue Area and Non-Hue Area (색상영역과 비색상영역의 히스토그램을 이용한디지털 영상의 대표색상 추출)

  • Kwak, Nae-Joung;Hwang, Jae-Ho
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.47 no.2
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    • pp.1-10
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    • 2010
  • There have been studied with activity about color standard due to extention of digital contents' application area. Therefore the studies in relation to the standard are needed to represent image's feature as color. Also the methods to extract color's feature to be apt to various application are needed. In this paper, we set the base color as 50 colors from Munsell color system, get the color histogram to show the characteristics of colors's distribution of a image, and propose the method to extract representative colors from the histogram. Firstly, we convert a input image of RGB color space to a image of HSI color space and split the image into hue area and non-hue area. To split hue area and non-hue area, we use a fixed threshold and a perception-function of color area function to reflect the subjective vision of human-being. We compute histograms from each area and then make a total histogram from the histogram of hue area and the histogram of hue area, and extract the representative colors from the histogram. To evaluate the proposed method, we made 18 test images, applied conventional methods and proposed method to them Also the methods are applied to public images and the results are analyzed. The proposed method represents well the characteristics of the colors' distribution of images and piles up colors' frequency to representative colors. Therefore the representative colors can be applied to various applications

Fungal Biodiversity in Cardamom Protected Forests and Seima Biodiversity Conservation Area of Cambodia

  • Kim, Nam Kyu;Lee, Jin Heung;Jo, Jong Won;Bunthoeun, Roth;Ngeth, Chea;Lee, Jong Kyu
    • Journal of Forest and Environmental Science
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    • v.32 no.2
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    • pp.158-163
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    • 2016
  • Mushroom surveys and collections were conducted in the western and eastern forest areas in Cambodia, and then fungal biodiversity was analyzed by identifying mushrooms. One thousand and three hundreds eighty three specimens were identified by morphological and genetical characteristics, and were classified into 238 species, 160 genera, 52 families, 15 orders, and 3 phylums. The collected mushrooms were immersed in 70% ethyl alcohol for DNA extraction, and the rest of them were dried in the portable mushroom dryer for 12 hrs. Among these mushrooms, the genera Mycena (8.7%), Ganoderma (5.6%), Microporus (5.3%), Marasmius (4.2%), Marasmiellus (3.0%), Phellinus (2.5%), Trametes (2.5%), Hygrocybe (1.9%) and Pycnoporus (1.5%) were dominant. In the western Cambodia, 1,061 specimens were collected from Koh Kong forests, while 263 specimens were collected from the eastern Cambodia, Seima and Mondulkiri forests. Elevations of surveyed sites were ranged from 0 to 750 m above sea level. The number of species observed in the elevation of 251-500 m was the highest as compared to the other ranges of elevation. Daldinia concentrica, Microporus vernicipes, Microporus xanthopus, Pycnoporus coccineus, Stereum hirsutum, and Stereum ostrea were commonly distributed in all ranges of elevation, while the distribution of Ceratomyxa fruticulosa, Panus fulvus, Schizophyllum, Trametes versicolor, and Tyromyces chioneus were limited under 500 m. One hundred and forty one species including Amauroderma sp., Bjerkandera adusta, Trichaptum abietinum, and Tyromyces chioneus were collected only in Cardamom, while 20 species including Auricularia auricula-judae, Coriolopsis sanguinaria, Rigidoporus microporus, and Xylaria polymorpha were collected only in Seima. Ganoderma sp., Mycena sp., Marasmius sp., Microporus xanthopus, Phellinus sp., and Russula sp. were dominant species in both the western and eastern Cambodia. Species diversity indices in the eastern and western survey sites were 1.83 and 1.77, respectively, while evenness indices were 0.92 and 0.90. The species similarity index between two survey sites was 0.42.

Traffic Sign Recognition using SVM and Decision Tree for Poor Driving Environment (SVM과 의사결정트리를 이용한 열악한 환경에서의 교통표지판 인식 알고리즘)

  • Jo, Young-Bae;Na, Won-Seob;Eom, Sung-Je;Jeong, Yong-Jin
    • Journal of IKEEE
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    • v.18 no.4
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    • pp.485-494
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    • 2014
  • Traffic Sign Recognition(TSR) is an important element in an Advanced Driver Assistance System(ADAS). However, many studies related to TSR approaches only in normal daytime environment because a sign's unique color doesn't appear in poor environment such as night time, snow, rain or fog. In this paper, we propose a new TSR algorithm based on machine learning for daytime as well as poor environment. In poor environment, traditional methods which use RGB color region doesn't show good performance. So we extracted sign characteristics using HoG extraction, and detected signs using a Support Vector Machine(SVM). The detected sign is recognized by a decision tree based on 25 reference points in a Normalized RGB system. The detection rate of the proposed system is 96.4% and the recognition rate is 94% when applied in poor environment. The testing was performed on an Intel i5 processor at 3.4 GHz using Full HD resolution images. As a result, the proposed algorithm shows that machine learning based detection and recognition methods can efficiently be used for TSR algorithm even in poor driving environment.

Harmonic Signal Linearization of Nonlinear Power Amplifier Using Digital Predistortion for Multiband Wireless Transmitter (다중 대역 송신을 위한 디지털 사전 왜곡 기법을 이용한 비선형 전력 증폭기의 고조파 신호 선형화)

  • Oh, Kyung-Tae;Ku, Hyun-Chul;Kim, Dong-Su;Hahn, Cheol-Koo
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.19 no.12
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    • pp.1339-1349
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    • 2008
  • In this paper, a nonlinear relationship between an input complex envelope and an output complex envelope of m-th harmonic zone is theoretically analyzed, and AM/$AM_m$ and AM/$PM_m$ are defined. A scheme to extract these characteristics from measured in-phase and quadrature-phase data is suggested. The proposed analysis is verified with a fundamental-fundamental and fundamental-third harmonic measurements for a InGaP power amplifier(PA). Based on the harmonic-band nonlinear analysis and extraction scheme, a new technique to send a signal in m-th harmonic band with a harmonic signal Linearization Digital Predistortion(DPD) scheme is presented. A numerical analysis and a Look-Up Table(LUT) based DPD algorithms to linearize output signal on m-th harmonic zone are developed. For a 16- and a 64-QAM input signals, a DPD for third harmonic signal linearization is implemented, and output spectrum and signal constellation are measured. The wholly distorted signals are linearized, and thus the measured Error Vector Magnitudes (EVM) are 6.4 % and 6.5 % respectively. The results show that a proposed scheme linearizes a nonlinearly distorted harmonic band signals. The proposed nonlinear analysis and predistortion scheme can be applied to multiband transmitter in next generation software defined radio(SDR)/cognitive radio(CR) wireless system.

Development of Unfolding Radial Velocity Algorithm for Dual PRF Mode of Yong-In Testbed(YIT) Radar (용인테스트베드레이다를 이용한 Dual PRF 모드의 시선속도 접힘 풀기 알고리즘 개발)

  • Kim, Hye-Ri;Suk, Mi-Kyung;Nam, Kyung-Yeub;Ko, Jeong-Seok
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.27 no.6
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    • pp.521-530
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    • 2016
  • Weather radar is observation equipment that transmits electromagnetic waves and receives backscattered signals from the targets. The weather radar systems of the Korea Meteorological Administration have a doppler mode that can extract the target's radial velocity. However, the radial velocity over the maximum unambiguous velocity(${\nu}_m$) for which is in a trade-off relationship with the maximum unambiguous range is folded. Therefore, a dual PRF mode of which transmits and receives signals using two different PRFs(high and low) must be used to extend the vm while maintaining the maximum unambiguous range. Using a dual PRF mode, vm can be extended to the amount of lowest common denominator of two observed vm from high and low PRF. For this extension, we have developed a velocity unfolding algorithm of which uses several criteria for classification considering observed velocity differences between high and low PRF and their error boundary. Then, correction factors are calculated for each class and are applied to unfold radial velocity. The developed algorithm was applied to the Yong-In Testbed(YIT) radar and the generated better performance of radial velocity extraction than those of the previous system.

RCS Extraction of Trihedral Corner Reflector for SAR Image Calibration (SAR 영상 보정용 삼각 전파 반사기의 정확한 RCS 추출)

  • Kwon, Soon-Gu;Yoon, Ji-Hyeong;Oh, Yi-Sok
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.21 no.9
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    • pp.979-986
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    • 2010
  • This paper presents an algorithm for retrieving precise radar cross sections(RCS) of various trihedral corner reflectors (TCR) which are external calibrators of synthetic aperture radar(SAR) systems. The theoretical RCSs of the TCRs are computed based on the physical optics(PO), geometrical optics(GO), and physical theory of diffraction(PTD) techniques; that is, the RCS computation includes the single reflections(PO), double reflections(GO-PO), triple reflections(GO-GO-PO), and edge diffractions(PTD) from the TCR. At first, we acquire an SAR image of the area that five TCRs installed in, and then extract the RCS of the TCRs. The RCSs of the TCRs are extracted accurately from the SAR image by adding up the power spill, which is generated due to the radar IRF(Impulse Response Function), using a square window. We compare the extracted RCSs with the theoretical RCSs and analyze the difference between the theoretical and experimental RCSs of the TCR for various window sizes and various backscattering coefficient levels of the adjacent area. Finally, we propose the minimum size of the integration area and the maximum level of the backscattering coefficients for the adjacent area.

A STUDY ON SHEAR BOND STRENGTH OF INTERFACE BETWEEN BONE AND TITANIUM PLASMA SPRAYED IMZ IMPLANT IN RABBITS (가토에 이식된 Titanium plasma Sprayed IMZ 임프란트와 골의 계면 접촉 양상에 따른 결합력에 관한 연구)

  • Han, Chong-Hyun;Han, Dong-Hoo
    • The Journal of Korean Academy of Prosthodontics
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    • v.29 no.2
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    • pp.225-243
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    • 1991
  • In recent years immediate implantation has been tried by a few clinicians. This study placed IMZ implants in the rabbit femur with and without bony defects around the implant for simulating fresh extraction site. And one group with bony defects used porous hydroxyapatite ganules(HA) to fill if and the other group left the bony defects around the implant. The purpose of this study was to compare the shear bond strength and the bony contact and formation around the implant. Fifteen rabbits were divided into three groups and placed 10 IMZ implants to each group. Implant sites were surgically prepared with IMZ drills kit and implants were placed(Control), artificial bony defect was created with Apaceram drills kit around the implant sites and implants were placed(Experimental I), bony defect was filled with porous hydroxyapatite granules(Experimental II). Thereafter, rabbits were sacrificed at 8th week and specimens were prepared and pushout tested for shear bond strength of bone-implant interface immediately. Undecalcified and decalcified specimens were prepared with Vilanueva and hematoxylin-eosin stain for light microscopic finding. The results of this study were as follows. 1. In the control group, mean shear strength of bone-implant interface was $2.614{\pm}0.680$ MPa, experimental I was $0.664{\pm}0.322$ MPa, and experimental II was $2.281{\pm}0.606$ MPa. There was significant difference between control and experimental I, between experimental I and experimental II, but did not show significant difference between control and experimental II statistically. 2. In the bony formation surrounding IMZ implant of the three groups, that of cortical bone is more advanced than cancellous bone area. 3. In the histological findings of undecalcified specimens, control and experimental II showed more than 50% of bony or osteoid formation at the bony-implant interface. 4. In the histological findings of undecalcified specimens, experimental I showed less than 50% of bony or osteoid formation at the interface, and observed partial bony defect in the coronal zone. 5. In the experimental II group, were observed direct bony contact to hydroxyapatite granules, and infiltration of a few giant cells. 6. No inflammatory responses were seen around the titanium implants and the hydroxyapatite granules.

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