• Title/Summary/Keyword: 선별 알고리즘

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PERIOD ANALYSIS FOR THE F COMPONENT OF THE ∈ AURIGAE SYSTEM USING WAVELETS (웨이블렛을 이용한 ∈ AURIGAE SYSTEM 주성 F별의 주기분석)

  • Kim, Hyouk
    • Journal of Astronomy and Space Sciences
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    • v.25 no.1
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    • pp.1-18
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    • 2008
  • We present a detailed period analysis for the F-type primary of ${\in}$ Aurigae by means of Fourier and wavelet algorithm. After collecting all available data which have been observed for around 160 years (1842 - 2006) from various international databases and published references we selected only data obtained during outside eclipse among them again. As a result of analysis using CLEANest and WWZ(weighted wavelet Z-transform) several frequencies including two clear periods ($67^d\;and\;123^d$) were found. In contrast to previous results that the periods vary irregularly it seems that the primary of ${\in}$ Aurigae is double mode or multiperiodic pulsator. The presence of the two periods and their ratio indicates that the high-mass interpretation of the variable could be valid. Also better understanding of the mechanisms driving the light variability of F-type supergiant stars requires continual series of photometric and radial velocity measurements in outside eclipse of this star.

Statistical Examination and Improvement of the Internet Addition Testing Method for Adolescent - Focused on Young's Measurement (청소년 인터넷 중독 검사 방법의 통계적 고찰 및 개선 - Young의 척도를 중심으로)

  • Park, Chan-Jung;Kim, Hyung-Chul;Ko, Young-Min;Hyun, Jung-Suk;Kim, Cheol-Min
    • The Journal of Korean Association of Computer Education
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    • v.13 no.4
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    • pp.41-50
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    • 2010
  • So far, the researches about the Internet addiction testing are diverse and enormous. However, since the testing factors have the same importance, there is no discrimination among the factors. In our paper, we analyze the problems of the existing researches by using Lisrel and data mining algorithms. Next, we propose an alternative for the Internet addiction testing. In order to accomplish these, we make an questionnaire consisted of Young's test and then, we asked to 440 primary and secondary school students. In addition, we analyzed the problems of Young's test with factor analysis and then, we distinguish more important items from others with J48 and PART. Finally, based on this analysis, we propose a method to diagnose addicted students and prescribe them.

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Development of Bolt Tap Shape Inspection System Using Computer Vision Technology (컴퓨터 비전 기술을 이용한 볼트 탭 형상 검사 시스템 개발)

  • Park, Yang-Jae
    • Journal of Digital Convergence
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    • v.16 no.3
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    • pp.303-309
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    • 2018
  • Computer vision technology is a component inspection to obtain a video image from the camera to the machine to perform the capabilities of the human eye with a field of artificial intelligence, and then analyzed by the algorithm to determine to determine the good and bad of production parts It is widely applied. Shape inspection method was used as how to identify the location of the start point and the end point of the search range, measure the height to the line scan method, in such a manner as to determine the presence or absence of the bolt tabs average brightness of the inspection area in a circular scan type value And the degree of similarity was calculated. The total time it takes to test in the test performance tests of two types of bolts tab enables test 300 min, and demonstrated the accuracy and efficiency of the inspection on the production line represented a complete inspection accuracy.

Development of a System Predicting Maximum Displacements of Earth Retaining Walls at Various Excavation Stages Using Artificial Neural Network (인공신경망을 이용한 굴착단계별 흙막이벽체의 최대변위 예측시스템 개발)

  • 김홍택;박성원;권영호;김진홍
    • Journal of the Korean Geotechnical Society
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    • v.16 no.1
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    • pp.83-97
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    • 2000
  • In the present study, artificial neural network based on the multi-layer perceptron is used and an optimum model is chosen through the process of efficiency evaluation in order to develop a system predicting maximum displacements of the earth retaining walls at various excavation stages. By analyzing the measured field data collected at various urban excavation sites in Korea, factors influencing on the behaviors of the excavation wall are examined. Among the measured data collected, reliable data are further selected on the basis of the performance ratio and are used as a data base. Data-based measurements are also utilized for both teaming and verifying the artificial neural network model. The learning is carried out by using the back-propagation algorithm based on the steepest descent method. Finally, to verify a validity of the formulated artificial neural network system, both the magnitude and the occurring position of the maximum horizontal displacement are predicted and compared with measured data at real excavation sites not included in the teaming process.

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REST-Based Open API Ontology Modeling and Automatic Mash-Up Method Using In/Output Properties (입출력 파라미터 특성을 이용한 REST 기반의 Open API 온톨로지 모델링 및 자동 매쉬업 방법)

  • Jung, Wan;Kim, Hwa Sung
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.39C no.8
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    • pp.626-636
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    • 2014
  • Existing mash-up services could not be offered in accordance with the purposes and preferences of all users because they are created by the service developers. Therefore some precedent studies, which enable for individual users to create their own mash-up services automatically, have been conducted. In order to create automatic mash-up services, it is important to find elements to distinguish the possibility of mash-up. The precedent studies determine the possibility of mash-up through comparison of the similarity between input/output parameter names in the REST-based Open API. Only using the similarity to distinguish the possibility of mash-up, however, some unintended mash-up results can be occurred because the property of input/output parameters are not considered. In this paper, we propose the method considering the properties of input/output parameters to decrease the unintended mash-up results and extend ontology proposed in precedent studies by applying this property. And we propose the algorithm to distinguish the possibility of mash-up using the expanded ontology and describe the result of automatic mash-up services.

A research on the algorithm of traffic card for blacklist checking (교통카드 블랙리스트 체크를 위한 알고리즘에 관한 연구)

  • Jeong, Yang-Kwon;Kim, Yong-Sik;Kim, Kyung-Hee
    • The Journal of the Korea institute of electronic communication sciences
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    • v.5 no.1
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    • pp.58-65
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    • 2010
  • The research which sees is to paying in advance and or the after non traffic card use composes shortens about the method which sorts the difference of the method which with the thing is proposing from card system of existing and that system improves only the unable card or serviceable card information and the response time of the system operation and to improve the method which composes information, control method preparation improved a updating speed and effectiveness of system improvement at the time. The respectively file composed with the multiple mind section from the research which sees hereupon and also each section composed of the multiple mind block and each block multiple mind divided at size of the unit which will count and with the index father whom composes more kicked a low-end ratio use wrongly or in serviceable card information and the low to compose with the data bringing up for discussion territory which composes of information the efficiency of system, improved.

Kriging Surrogate Model-based Design Optimization of Vehicle and Adaptive Cruise Control Parameters Considering Fuel Efficiency (연비를 고려한 차량 및 적응형 순항 제어 파라미터의 크리깅 대체모델 기반 최적설계)

  • Kim, Hansu;Song, Yuho;Lee, Seungha;Huh, Kunsoo;Lee, Tae Hee
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.41 no.9
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    • pp.817-823
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    • 2017
  • In the past, research has been conducted on the development of an adaptive cruise control algorithm considering fuel efficiency, and an adaptive cruise control system considering fuel efficiency have been developed. However, research on optimizing vehicle and adaptive cruise control parameters in order to maximize performances is insufficient. In this study, the design optimization of vehicle and control parameters considering fuel efficiency, trackability, ride comfort and safe distance is performed. This paper proposes performance measures of vehicle behavior and develops an adaptive cruise control system. In addition, based on the screening of vehicle parameters that significantly influence performances, kriging surrogate models are constructed through a sequential design of experiment, and kriging surrogate model-based design optimization is performed to maximize fuel efficiency and satisfy target performances.

Content-based Image Retrieval using the Color and Wavelet-based Texture Feature (색상특징과 웨이블렛 기반의 질감특징을 이용한 영상 검색)

  • 박종현;박순영;조완현;오일석
    • Journal of KIISE:Databases
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    • v.30 no.2
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    • pp.125-133
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    • 2003
  • In this paper we propose an efficient content-based image retrieval method using the color and wavelet based texture features. The color features are obtained from soft-color histograms of the global image and the wavelet-based texture features are obtained from the invariant moments of the high-pass sub-band through the spatial-frequency analysis of the wavelet transform. The proposed system, called a color and texture based two-step retrieval(CTBTR), is composed of two-step query operations for an efficient image retrieval. In the first-step matching operation, the color histogram features are used to filter out the dissimilar images quickly from a large image database. The second-step matching operation applies the wavelet based texture features to the retained set of images to retrieve all relevant images successfully. The experimental results show that the proposed algorithm yields more improved retrieval accuracy with computationally efficiency than the previous methods.

Development of Tomographic Scan Method for Industrial Plants (산업공정반응기의 감마선 전산 단층촬영기술 개발)

  • Kim, Jong-Bum;Jung, Sung-Hee;Moon, Jin-Ho;Kwon, Taek-Yong;Cho, Gyu-Seong
    • Journal of the Korean Society for Nondestructive Testing
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    • v.30 no.1
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    • pp.20-30
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    • 2010
  • In this paper, a new tomographic scan method with fixed installed detectors and rotating source from gamma projector was presented to diagnose the industrial plants which were impossible to be examined by conventional tomographic systems. Weight matrix calculation method which was suitable for volumetric detector and statistical iterative reconstruction method were applied for reconstructing the simulation and experimental data. Monte Carlo simulations had been performed for two kinds of phantoms. Lab scale experiment with a same condition as one of phantoms, had been carried out. Simulation results showed that reconstruction from photopeak counting measurement gave the better results than from the gross counting measurement although photopeak counting measurement had large statistical errors. Experimental data showed the similar result as Monte Carlo simulation. Those results appeared to be promising for industrial tomographic applications, especially for petrochemical industries.

Performance Analysis of Scalable HEVC Coding Tools (HEVC 기반 스케일러블 비디오 부호화 툴의 성능 분석)

  • Kim, Yongtae;Choi, Jinhyuk;Choi, Haechul
    • Journal of Broadcast Engineering
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    • v.20 no.4
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    • pp.497-508
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    • 2015
  • Current communication networks consist of channels with various throughputs, protocols, and packet loss rates. Moreover, there are also diverse user multimedia consumption devices having different capabilities and screen sizes. Thus, a practical necessity of scalability on video coding have been gradually increasing. Recently, The Scalable High Efficiency Video Coding(SHVC) standard is developed by Joint Collaborative Team on Video Coding(JCT-VC) organized in cooperation with MPEG of ISO/IEC and VCEG of ITU-T. This paper introduces coding tools of SHVC including adopted and unadopted tools discussed in the process of the SHVC standardization. Furthermore, the individual tool and combined tool set are evaluated in terms of coding efficiency relative to a single layer coding structure. This analysis would be useful for developing a fast SHVC encoder as well as researching on a new scalable coding tool.