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An Estimation Method of Drivable Path for Unmanned Ground Vehicle Using Camera and 2D Laser Rangefinder on Unpaved Road (카메라와 2차원 레이저 거리센서를 활용한 비포장 도로 환경에서의 지상무인차량의 주행가능영역 추정 기법)

  • Ahn, Seong-Yong;Kim, Chong-Hui;Choe, Tok-Son;Park, Yong-Woon
    • Journal of the Korea Institute of Military Science and Technology
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    • v.14 no.6
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    • pp.993-1001
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    • 2011
  • Unmanned ground vehicle for facility protection mostly uses model of territory for autonomous navigation. However, modeling of territory using several sensors is highly time consuming and sometimes inefficient for road application. Therefore, an estimation of drivable path based on features of road is required for high speed autonomous navigation on road. In this paper, an estimation method of drivable path using camera and 2D laser rangefinder is proposed. First, a vanishing point is estimated based on image data from CCD camera. Second, a road width is estimated based on range data from 2D laser rangefinder. Finally, the drivable path is estimated by fusing the vanishing point and the road width. The proposed method is tested on both well-structured road and unpaved road like cross-country situation.

The effects Sunghyangjungkisan-ga-pogongng and herbs on Mouse neuroblastoma 2a cells damaged by hypoxia-reoxygenation (성향정기산가보공영(星香正氣散加補公英)과 단미(單味)들이 Hypoxia-reoxygenation에 의해 손상받은 Mouse Neuroblastoma 2a Cells에 미치는 영향(影響))

  • Yoo, Jin-Suk;Kim, Jong-Woo;Kang, Chul-Hun;Whang, Wei-Wan
    • Journal of Oriental Neuropsychiatry
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    • v.16 no.1
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    • pp.19-41
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    • 2005
  • Object : This study was designed to asses the effect of Sunghyangjungkisan-ga-pogongng and herbs on Mouse neuroblastoma 2a cells damaged by hypoxia-reoxygenation. Method : Mouse neuroblastoma 2a (N2a) cells were measured by MTT assay and LDH assay after 48h hypoxia and 6h reoxygenation, Mouse neuroblastoma 2a (N2a) cells were treated by SHJG+P and herbs. Result : 1. SHJG+P was effective on LDH assay of hypoxia and reoxygenation. 2. The herbs were generally effective on LDH assay of hypoxia and reoxygenation. In MTT assay of hypoxia JP and GC were effecctive. In LDH assay of hypoxia all of herbs were effective. DMH, BC, SY, NS were more effective than other herbs. In LDH assay of reoxygenation KH, BH, BBR, DMH were especially effective. In MTT assay of reoxygenation most of herbs were not effective. But GC, SY, BH, JP were effective. Conclusion : The results imply that SHJG+P and all of berbs may have protective effect on dementia and GC, SY, BH, JP may have protective effect.

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A Study on Visual Perception of Hologram Advertisement (홀로그램 매체를 활용한 광고의 시각인지도에 관한 연구)

  • Cho, Yong-Jae
    • The Journal of the Korea Contents Association
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    • v.6 no.12
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    • pp.261-268
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    • 2006
  • A hologram is a three-dimensional image reproduced from a pattern of interference produced by a split coherent beam of radiation. Therefore not only can it express the three dimensional properties of the object, but because of it ability to show the depth and spatial properties of the object holograms may be a more effective tool in advertising for its visual appeal. This study presents 'hologram'a three dimensional stereo imaging, as the expression technique in advertising of the next generation, and with proper understanding of 'hologram' and of all its potential applications discusses opportunities for advertisements that are distinct from the multi media advertisements of today. The basic concept of Holograms and their application methods were presented in the thesis, and by using Sales Promotion advertisement as example, discussed what elements are required in order to produce an effective advertisement using holograms.

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GMP Calculation Process in CM at Risk for Public Construction Project (공공 건설사업 CM at Risk 적용시 GMP 산출 프로세스)

  • Kim, Gun-Sung;Jin, Zheng-Xun;Hyun, Chang-Taek
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2020.06a
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    • pp.48-49
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    • 2020
  • Recently the diversification of construction market and the continuous reduction of construction amount are raising the need of alternative delivery method in the construction industry. The foreign advanced companies actively adopted the CM at Risk delivery method where they perform the service of agent CM in the design phase, and agree GMP(Guaranteed Maximum Price) with the client at the time of 50~80% completion of design. Even in Korea they began to apply that method to pilot projects. In CM at Risk, through the early participation of builder, the level of design completion can be improved and the change order and construction period delay can be minimized. On the other hand, GMP is usually calculated when the design is about 80% complete, so there is uncertainty in the construction cost. Therefore, in this research, the increased amounts of construction cost are analyzed in a number of public construction projects, and GMP calculation process is proposed using the analysis results and CBR(Case-Based Reasoning) technique to reduce the construction cost increase in the construction phase.

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Design and Implementation of Serious Game based on AVR Microcontrollerin Virtual Serial Ports (가상 시리얼 포트에서 AVR 마이크로콘트롤러를 기초로 한 기능성 게임의 설계 및 구현)

  • Ko, YoungHyuk
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.12 no.6
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    • pp.105-109
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    • 2012
  • This paper proposed a method which enabled the designing and implementation of a serious game based on AVR microcontroller on a virtual serial port before making the actual circuit by performing simulation, and which made it possible to develop a serious game. The implemented serious game implemented a mole game which can be enjoyed by one person, a love game with which a male gamer and a female gamer can play, and a marathon game in which a gamer can run the marathon while listening to cheerful music and looking at a region he/she wants to visit. The development of a microcontroller device that provides those functions showed that not only does the device make it possible to develop games more easily and conveniently through the implementation of a game using virtual serial communications with a board designed by an ISIS simulator, but also it reduces trials and errors during game development.

Robust iris recognition for local noise based on wavelet transforms (국부잡음에 강인한 웨이블릿 기반의 홍채 인식 기법)

  • Park Jonggeun;Lee Chulhee
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.42 no.2 s.302
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    • pp.121-130
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    • 2005
  • In this paper, we propose a feature extraction method for iris recognition using wavelet transforms. The wavelet transform is fast and has a good localization characteristic. In particular, the low frequency band can be used as an effective feature vector. In iris recognition, the noise caused by eyelid the eyebrow, glint, etc may be included in iris. The iris pattern is distorted by noises by itself, and a feature extraction algorithm based on filter such as Wavelets, Gabor transform spreads noises into whole iris region. Namely, such noises degrade the performance of iris recognition systems a major problem. This kind of noise has adverse effect on performance. In order to solve these problems, we propose to divide the iris image into a number of sub-region and apply the wavelet transform to each sub-region. Experimental results show that the performance of proposed method is comparable to existing methods using Gabor transform and region division noticeably improves recognition performance. However, it is noted that the processing time of the wavelet transform is much faster than that of the existing methods.

Implementation of a Robust Visual Surveillance System for the Variation of Illumination Lights (조명광 변화에 강인한 영상 감시시스템 구현)

  • Jung, Yong-Bae;Kim, Jung-Hyeon;Kim, Tae-Hyo
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.10 no.3
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    • pp.517-525
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    • 2006
  • In this paper, the algorithm which improve the efficiency of surveillance in spite of the change of light is proposed and confirmed by virtue of the experiments. One of the problems for the implementation of visual surveillance system is the image processing technique to overcome with the variations of illumination lights. Some conventional systems are generally not considered the error due to the change of lights because the system use at indoor. In practical, the factors of bad image can be classified to the ghosts due to the reflection of lights and shadows in a scene. Especially weak images and noises at night are decreased the performance of visual surveillance system. In the paper, the filter which improve the images with some change of illumination lights is designed and the gabor filter is used for recognition and tracking of the moving objects. In the results, the system showed that the recognition and tracking were obtained $92\sim100%$ of recognition rate at daytime, but $80\sim90%$ of nighttime.

Clustering Technique Using Relevance of Data and Applied Algorithms (데이터와 적용되는 알고리즘의 연관성을 이용한 클러스터링 기법)

  • Han Woo-Yeon;Nam Mi-Young;Rhee PhillKyu
    • The KIPS Transactions:PartB
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    • v.12B no.5 s.101
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    • pp.577-586
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    • 2005
  • Many algorithms have been proposed for (ace recognition that is one of the most successful applications in image processing, pattern recognition and computer vision fields. Research for what kind of attribute of face that make harder or easier recognizing the target is going on recently. In flus paper, we propose method to improve recognition performance using relevance of face data and applied algorithms, because recognition performance of each algorithm according to facial attribute(illumination and expression) is change. In the experiment, we use n-tuple classifier, PCA and Gabor wavelet as recognition algorithm. And we propose three vectorization methods. First of all, we estimate the fitnesses of three recognition algorithms about each cluster after clustering the test data using k-means algorithm then we compose new clusters by integrating clusters that select same algorithm. We estimate similarity about a new cluster of test data and then we recognize the target using the nearest cluster. As a result, we can observe that the recognition performance has improved than the performance by a single algorithm without clustering.

Removal of Arsenite and Arsenate by a Sand Coated with Colloidal Hematite Particl (나노 크기 적철석 입자 피복 모래를 이용한 비소 3가와 비소 5가의 제거)

  • 고일원;이상우;김주용;김경웅;이철효
    • Journal of Soil and Groundwater Environment
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    • v.9 no.1
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    • pp.63-69
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    • 2004
  • Hematite-coated sand was examined for the application of the PRB (permeable reactive barrier) to the arsenic-contaminated subsurface in the metal mining areas. The removal efficiency of As in a batch and a flow system was investigated through the adsorption isotherm, removal kinetics and column experiments. Hematite-coated sand followed a linear adsorption isotherm with high adsorption capacity at low level concentrations of As (<1.0 mg/L). In the column experiments, high content of hematite-coated sand enhanced the removal efficiency, but the amount of the As removal decreased due to the higher affinity of As (V) than As (III) and reduced adsorption kinetics in the flow system. Therefore. the amount of hematite-coated sand, the adsorption affinity of As species and removal kinetics determined the removal efficiency of As in a flow system.

Document Image Segmentation and Classification using Texture Features and Structural Information (텍스쳐 특징과 구조적인 정보를 이용한 문서 영상의 분할 및 분류)

  • Park, Kun-Hye;Kim, Bo-Ram;Kim, Wook-Hyun
    • Journal of the Institute of Convergence Signal Processing
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    • v.11 no.3
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    • pp.215-220
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    • 2010
  • In this paper, we propose a new texture-based page segmentation and classification method in which table region, background region, image region and text region in a given document image are automatically identified. The proposed method for document images consists of two stages, document segmentation and contents classification. In the first stage, we segment the document image, and then, we classify contents of document in the second stage. The proposed classification method is based on a texture analysis. Each contents in the document are considered as regions with different textures. Thus the problem of classification contents of document can be posed as a texture segmentation and analysis problem. Two-dimensional Gabor filters are used to extract texture features for each of these regions. Our method does not assume any a priori knowledge about content or language of the document. As we can see experiment results, our method gives good performance in document segmentation and contents classification. The proposed system is expected to apply such as multimedia data searching, real-time image processing.