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Design of pRBFNNs Pattern Classifier-based Face Recognition System Using 2-Directional 2-Dimensional PCA Algorithm ((2D)2PCA 알고리즘을 이용한 pRBFNNs 패턴분류기 기반 얼굴인식 시스템 설계)

  • Oh, Sung-Kwun;Jin, Yong-Tak
    • Journal of the Institute of Electronics and Information Engineers
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    • v.51 no.1
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    • pp.195-201
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    • 2014
  • In this study, face recognition system was designed based on polynomial Radial Basis Function Neural Networks(pRBFNNs) pattern classifier using 2-directional 2-dimensional principal component analysis algorithm. Existing one dimensional PCA leads to the reduction of dimension of image expressed by the multiplication of rows and columns. However $(2D)^2PCA$(2-Directional 2-Dimensional Principal Components Analysis) is conducted to reduce dimension to each row and column of image. and then the proposed intelligent pattern classifier evaluates performance using reduced images. The proposed pRBFNNs consist of three functional modules such as the condition part, the conclusion part, and the inference part. In the condition part of fuzzy rules, input space is partitioned with the aid of fuzzy c-means clustering. In the conclusion part of rules. the connection weight of RBFNNs is represented as the linear type of polynomial. The essential design parameters (including the number of inputs and fuzzification coefficient) of the networks are optimized by means of Differential Evolution. Using Yale and AT&T dataset widely used in face recognition, the recognition rate is obtained and evaluated. Additionally IC&CI Lab dataset is experimented with for performance evaluation.

Analysis of Response Characteristics According to Permanent Displacement in Seismic Slope (지진시 비탈면의 영구변위 발생에 따른 응답특성 분석)

  • Ahn, Jae-Kwang;Park, Sangki;Kim, Wooseok;Son, Su-Won
    • Journal of the Korean Geotechnical Society
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    • v.35 no.12
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    • pp.135-145
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    • 2019
  • The slope collapse can be classified into internal and external factors. Internal factors are engineering factors inherent in the formation of slopes such as soil depth, slope angle, shear strength of soil, and external factors are external loading such as earthquakes. The external factor for earthquake can be expressed by various values such as peak ground acceleration (PGA), peak ground velocity (PGV), Arias coefficient (I), natural period (Tp), and spectral acceleration (SaT=1.0). Specially, PGA is the most typical value that defines the magnitude of the ground motion of an earthquake. However, it is not enough to consider the displacement in the slope which depends on the duration of the earthquake even if the vibration has the same peak ground acceleration. In this study, numerical analysis of two-dimensional plane strain conditions was performed on engineered block, and slope responses due to seismic motion of scaling PGA to 0.2 g various event scenarios was analyzed. As a result, the response of slope is different depending on the presence or absence of sliding block; it is shown that slope response depend on the seismic wave triggering sliding block than the input motion factors.

Coastal Shallow-Water Bathymetry Survey through a Drone and Optical Remote Sensors (드론과 광학원격탐사 기법을 이용한 천해 수심측량)

  • Oh, Chan Young;Ahn, Kyungmo;Park, Jaeseong;Park, Sung Woo
    • Journal of Korean Society of Coastal and Ocean Engineers
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    • v.29 no.3
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    • pp.162-168
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    • 2017
  • Shallow-water bathymetry survey has been conducted using high definition color images obtained at the altitude of 100 m above sea level using a drone. Shallow-water bathymetry data are one of the most important input data for the research of beach erosion problems. Especially, accurate bathymetry data within closure depth are critically important, because most of the interesting phenomena occur in the surf zone. However, it is extremely difficult to obtain accurate bathymetry data due to wave-induced currents and breaking waves in this region. Therefore, optical remote sensing technique using a small drone is considered to be attractive alternative. This paper presents the potential utilization of image processing algorithms using multi-variable linear regression applied to red, green, blue and grey band images for estimating shallow water depth using a drone with HD camera. Optical remote sensing analysis conducted at Wolpo beach showed promising results. Estimated water depths within 5 m showed correlation coefficient of 0.99 and maximum error of 0.2 m compared with water depth surveyed through manual as well as ship-board echo-sounder measurements.

Construction of Three Dimensional Soil Cadmium Pollution Map Using Geotechnical Information DB System (국토지반정보시스템을 이용한 3차원 토양오염지도 구축)

  • Hwang, Dae Young;Kang, In Joon;Jang, Yong Gu;Kim, Soo Kyum
    • Journal of Korean Society for Geospatial Information Science
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    • v.24 no.4
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    • pp.13-19
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    • 2016
  • This study presented the build-up of three-dimensional soil pollution map for precise analysis. To do this, survey on the existing pollutant region on Dongnae-gu, Busan that is the study subject, showed that it tended to produce 0.72 clusters. So, this study suggested to investigate center of $1km{\times}1km $ grid and, as the results of comparing the pollution map that input pollution figure values based on the actually investigation point showed precise results. And, it divided the standard of pollution into 5 levels in surface and underground space and the map was built up using IDW interpolation against the amount of polluted substance. The pollution of ground surface, flow of polluted substance, coefficient of permeability and ground water level that are 504 geotechnical informations were selected as the influential parameters in pollution analysis of underground space, and it calculated that to 0~20 points by dividing the characteristics. It enables the build-up of pollution map of ground surface-underground with depth that considers the characteristics of soil layers and it is considered that it is possible to analyze the general infiltration. And, it was considered that it enables more accurate forecast about influential analysis per depth and pollution of underground water.

Vibration Characteristics of the Fruit and Vegetables during Transportation (I) - Vibration Charateristics of the Pear by Experimental Analysis - (유통중 청과물의 진동 특성 연구 (I) - 실험적 해석에 의한 배의 진동특성 -)

  • Kim, Man-Soo;Jung, Hyun-Mo;Kim, Ghi-Seok;Park, Chung-Gil
    • Korean Journal of Agricultural Science
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    • v.30 no.2
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    • pp.175-183
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    • 2003
  • Fruit and vegetables are subjected to complex dynamic stresses in the transportation environment. During a long journey from the production area to markets, there is always some degree of vibration present. Vibration inputs are transmitted from the vehicle through the packaging to the fruit. Inside, these cause sustained bouncing of fruits against each other and container wall. These steady state vibration input may cause serious fruit injury, and this damage is particularly severe whenever the fruit inside the package is free to bounce, and is vibrated at its resonance frequency. The determination of the resonance frequencies of the fruit and vegetables may help the packaging designer to determine the proper packaging system providing adequate protection for the fruit, and to understand the complex interaction between the components of fruit when they relate to expected transportation vibration inputs. Instrumentation and technologies are described for determining the vibration response characteristics of the fruits with frequency range 3 to 150 Hz. The computer program for controlling the vibration exciter and the function generator and for measuring the vibration response characteristics of the fruits was developed. The resonance frequency of the pear ranged from 64.5 to 72.2 Hz and the amplitude at resonance was between 1.78 and 2.21 G-rms. The resonance frequency and amplitude at resonance decreased with the increase of the sample mass, and they were slightly affected by mechanical properties such as bioyield deformation and rupture deformation. Regression analysis was performed among the relatively high correlated parameters from the results of correlation coefficient analysis.

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A Study on Analyzing the Validity between the Predicted and Measured Concentrations of VOCs in the Atmosphere Using the CalTOX Model (CalTOX 모델에 의한 휘발성유기화합물의 대기 중 예측 농도와 실측 농도간의 타당성 분석에 관한 연구)

  • Kim, Ok;Lee, Minwoo;Park, Sanghyun;Park, Changyoung;Song, Youngho;Kim, Byeongbin;Choi, Jinha;Lee, Jinheon
    • Journal of Environmental Health Sciences
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    • v.46 no.5
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    • pp.576-587
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    • 2020
  • Objectives: This study calculated local residents exposures to VOCs (Volatile Organic Compounds) released into the atmosphere using the CalTOX model and carried out uncertainty analysis and sensitivity analysis. The model validity was analyzed by comparing the predicted and the actual atmospheric concentrations. Methods: Uncertainty was parsed by conducting a Monte Carlo simulation. Sensitivity was dissected with the regression (coefficients) method. The model validity was analyzed by applying r2 (coefficient of determination), RMSE (root mean square error), and the Nash-Sutcliffe EI (efficiency index) formula. Results: Among the concentrations in the atmosphere in this study, benzene was the highest and the lifetime average daily dose of benzene and the average daily dose of xylene were high. In terms of the sensitivity analysis outcome, the source term to air, exposure time, indoors resting (ETri), exposure time, outdoors at home (ETao), yearly average wind speed (v_w), contaminated area in ㎡ (Area), active breathing rate (BRa), resting breathing rate (BRr), exposure time, and active indoors (ETai) were elicited as input variables having great influence upon this model. In consequence of inspecting the validity of the model, r2 appeared to be a value close to 1 and RMSE appeared to be a value close to 0, but EI indicated unacceptable model efficiency. To supplement this value, the regression formula was derived for benzene with y=0.002+15.48x, ethylbenzene with y ≡ 0.001+57.240x, styrene with y=0.000+42.249x, toluene with y=0.004+91.588x, and xylene with y=0.000+0.007x. Conclusions: In consequence of inspecting the validity of the model, r2 appeared to be a value close to 1 and RMSE appeared to be a value close to 0, but EI indicated unacceptable model efficiency. This will be able to be used as base data for securing the accuracy and reliability of the model.

Vegetational Management Planning of the Namsan Nature Park in Seoul on the Basis of Phytosociological Characteristics (식물사회학적 특성을 고려한 남산공원 식생의 관리대책)

  • Oh, Koo Kyoon;Lee, Kyong Jae;Yim, Kyong Bin
    • Journal of Korean Society of Forest Science
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    • v.77 no.1
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    • pp.1-9
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    • 1988
  • To analyze phytosociological characteristics of the Mt. Namsan nature park, Seoul, vegetation structure of north-east and south-west slopes, competition capability among species, vegetation structures of afforested species were studied with belt-transect and quadrat methods. And management plan of each vegetational zone was proposed by the results of this study and the other previous reports. Numbers of species and individuals of south-west slope were greater than those of north-east slope. But species diversity of northeast showed stability of 1.0, while that of south-west showed instability from 0.8 to 1.3. The floristic dissimilarity coefficient between two slopes showed 70-80% in which species composition between two slopes was much different. Quercus mongolica was a dominant species at north-east slope and Pinus densiflora at south-west slope. Competition capability among major species was resulted in deciduous trees>Robinia pseudoacacia>Populus alba ${\times}$ glandulosa>Pinais densiflora, Quercus mongolica>deciduous trees>Pinus densiflora. Afforested vegetation at the Mt. Namsan, especially Pinus koraiensis, Abies holophylla, Picea abies, etc showed poor growth rate. The goal of the Nam-san nature park management is to conserve natural ecosystem as it is and, if necessary, to accerlerate restoration of the disturbed ecosytem to its nature by minimum energy input as possible. Management proposal was made for six vegetational management zone ; P. derasitZoru forest zone, Q. mongolica forest zone, deciduous forest zone, afforestation zone, R. pseduoacacia zone and landscape planting zone.

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Analysis on the Potentiality of Domestic Rainwater Harvesting in Metro Manila (마닐라 지역의 가정용 우수저류시설 잠재가용성 분석)

  • Felix, Micah Lourdes A.;Maniquiz, Marla C.;Seo, Sung-Ho;Kim, Lee-Hyung;Jeong, Sang-Man
    • Journal of Wetlands Research
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    • v.13 no.3
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    • pp.633-641
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    • 2011
  • The Philippines is known for its abundant water resources such as the rainfall, where it has a mean annual rainfall range from 965 to 4,100mm. Due to the rapid urbanization of the country, the population in Metro Manila has been continuously increasing hence, the demand for a potable water supply also increases. To mitigate the scarcity of potable water supply, utilization of the water resources should be practiced. Rainwater harvesting is one way to utilize the rainfall runoff. This study analyzedthe potentiality of the rainwater harvesting on residential areas in Metro Manila. A water balance method based spreadsheet was used with input parameters including daily rainfall, catchment area, runoff coefficient, population and the water demand. The efficiency of the domestic water tank was analyzedusing the three different climatic conditions (i.e., minimum, median andmaximum annual rainfalls) and three different types of toilets (i.e., inefficient, conventional and dual-flush toilets). Furthermore, the overflow volume was used to determine which size of rainwater storage was more appropriate for the study area. The results of the study showed that for the three types of rainfall years, only the conventional and dual-flush toilets were suitable for the utilization of rainwater harvesting. The utilization of the $60m^3$ storage tank was sufficient for supplying the demandsof the 90 houses only for a small period of time, 3 months. Based from this study, to fully sustain the long-term water demand of the houses, the enlargement of the tank size having a capacity of 1,100 to $2,500m^3$ is ideal.

Prediction of Stage Discharge Curve and Lateral Distribution of Unit Discharge in an Arbitrary Cross Section Channel with Floodplain Vegetation (홍수터 식생을 고려한 불규칙한 단면에서의 수위-유량 곡선 및 단위유량 횡분포 예측)

  • Kim, Tae-Beom;Jang, Ji-Yeon;Shin, Jae-Kook;Choi, Sung-Uk
    • Journal of Korea Water Resources Association
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    • v.44 no.2
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    • pp.157-167
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    • 2011
  • A numerical model was developed to predict the stage-discharge curve and lateral distribution of unit discharge in open channels with nonuniform cross section or compound open-channels. The governing equation is the one-dimensional momentum equation based on assumptions of the steady and uniform flow conditions in the longitudinal direction and the uniform water surface elevation in a cross section. Vegetative drag force term was included in governing equation in order to reflect the effect of floodplain vegetation on the flow characteristics. Finite element method was applied to obtain the numerical solution of the governing equation. Stage-discharge curve and lateral distribution of unit discharge for a given water surface are calculated based on input data, such as the cross sectional geometry, Manning's roughness coefficient, vegetative information and longitudinal slope of channel bed. The developed model was verified by comparing the calculated results with the observed data and the results of Darby and Thorne's(1996) model and the nonlinear k-$\epsilon$ model. The verified model was applied to estimate the upstream boundary conditions in two-dimensional flow model. The numerical results using laterally distributed unit discharge were compared with those obtained using uniformly distributed unit discharge in two-dimensional flow model.

DETERMINATION OF SUGARS AND ORGANIC ACIDS IN ORAGE JUICES USING NEAR INFRARED DIFFUSE REFLECTANCE SPECTROSCOPY

  • Tewari, Jagdish;Mehrotra, Ranajana;Gupta, Alka;Varma, S.P.
    • Proceedings of the Korean Society of Near Infrared Spectroscopy Conference
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    • 2001.06a
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    • pp.1522-1522
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    • 2001
  • Beverages based on fruit juices are among the most popular commercially available drinks. There is an ever-increasing demand for these juices in the market. Orange juice is one of the most common as well as most favorite flavor. The fruit processing industries have a tremendous responsibility of quality control. For quality evaluation estimation of various components of the juice is necessary. Sucrose, glucose, fructose, citric acid and malic acid are the prime components of orange juice. Little information is available on analysis of orange juice. However, conventional and general wet chemistry procedures are currently being used which are no longer desired by the industry owing to the time involved, labor input and harmful chemicals required for each analysis. Need to replace these techniques with new, highly specific and automated sophisticated techniques viz. HPLC and spectroscopy has been realized since long time. Potential of Near Infrared Spectroscopy in quantitative analysis of different components of food samples has also been well established. A rapid, non-destructive and accurate technique based on Near Infrared Spectroscopy for determination of sugars and organic acids in orange juice will be highly useful. The current study is an investigation into the potential of Near Infrared Diffuse Reflectance Spectroscopy for rapid quantitative analysis of sucrose, glucose, fructose citric acid and malic acid in orange juice. All the Near Infrared measurements were peformed on a dispersive NIR spectrophotometer (ELICO 153) in diffuse reflectance mode. The spectral region from 1100 to 2500nm has been explored. The calibration has been performed on synthetic samples that are mixtures of sucrose, glucose, fructose, citric acid and malic acid in different concentration ranges typically encountered real orange juice. These synthetic samples are therefore considered to be representatives of natural juices. All the Near Infrared spectra of synthetic samples were subjected to mathematical analysis using Partial Least Square (PLS) algorithm. After the validation, calibration was applied to commercially available real samples and freshly squeezed natural juice samples. The actual concentrations were compared with those predicted from calibration curve. A good correlation is obtained between actual and predicted values as indicated by correlation coefficient ($R^2$) value, which is close to unity, showing the feasibility of the technique.

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