• Title/Summary/Keyword: Roberts

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Moving Object Segmentation using Space-oriented Object Boundary Linking and Background Registration (공간기반 객체 외곽선 연결과 배경 저장을 사용한 움직이는 객체 분할)

  • Lee Ho Suk
    • Journal of KIISE:Software and Applications
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    • v.32 no.2
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    • pp.128-139
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    • 2005
  • Moving object boundary is very important for moving object segmentation. But the moving object boundary shows broken boundary We invent a novel space-oriented boundary linking algorithm to link the broken boundary The boundary linking algorithm forms a quadrant around the terminating pixel in the broken boundary and searches forward other terminating pixel to link within a radius. The boundary linking algorithm guarantees shortest distance linking. We also register the background from image sequence. We construct two object masks, one from the result of boundary linking and the other from the registered background, and use these two complementary object masks together for moving object segmentation. We also suppress the moving cast shadow using Roberts gradient operator. The major advantages of the proposed algorithms are more accurate moving object segmentation and the segmentation of the object which has holes in its region using these two object masks. We experiment the algorithms using the standard MPEG-4 test sequences and real video sequence. The proposed algorithms are very efficient and can process QCIF image more than 48 fps and CIF image more than 19 fps using a 2.0GHz Pentium-4 computer.

A Study on the Edge Detection using Modified Expansion Mask (변형된 확장 마스크를 이용한 에지 검출에 관한 연구)

  • Lee, Chang-Young;Hwang, Yeong-Yeun;Kim, Nam-Ho
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2012.05a
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    • pp.630-632
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    • 2012
  • Contemporary society has evolved in the digital information age. Because of this, use of various digital images has been increased. To process these images, various digital image processing methods are used. Edge detection methods, one of those, are utilized to various areas of application such as object recognition, line detection. To detect edge, there are many methods such as Sobel, Prewitt, Laplacian. Because images which are dealt with existing methods are processed in same methods regardless the distribution of gray-level in image, edge detection property is insufficient. Therefore, In this study, to improve shortcomings of existing methods an algorithm using modified expansion mask is proposed.

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A Study of Bitcoin Transaction Tracking Method through Illegal Community (불법 커뮤니티를 통한 비트코인 거래 추적 방법에 관한 연구)

  • Jeong, Sejin;Kwak, Nohyun;Kang, Brent Byunghoon
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.28 no.3
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    • pp.717-727
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    • 2018
  • When illegal transactions are made with bitcoin, it's not easy to track all the bitcoins used in the transaction and seize them. Especially, if criminals distribute illegal transactions by spreading them to several bitcoin addresses, it's difficult to track hidden bitcoins other than confiscated bitcoins even if some bitcoins are confiscated. This paper proposes a method for tracking and monitoring all bitcoin transactions suspected of illegal transactions. This method estimates bitcoin addresses that are highly relevant to crime among all bitcoin addresses that dealing with the address based on the bitcoin address list of the alleged crime, and keeps track of addresses that are relevant to crime and help to investigate illegal bitcoin transaction.

An edge detection method for gray scale images based on their fuzzy system representation (디지털 영상의 퍼지시스템 표현을 이용한 Edge 검출방법)

  • 문병수;이현철;김장열
    • Journal of the Korean Institute of Intelligent Systems
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    • v.11 no.6
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    • pp.454-458
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    • 2001
  • Based on a fuzzy system representation of gray scale images, we derive and edge detection algorithm whose convolution kernel is different from the known kernels such as those of Robert's Prewitt's or Sobel's gradient. Our fuzzy system representation is an exact representation of the bicubic spline function which represents the gray scale image approximately. Hence the fuzzy system is a continuous function and it provides a natural way to define the gradient and the Laplacian operator. We show that the gradient at grid points can be evaluated by taking the convolution of the image with a 3$\times$3 kernel. We also that our gradient coupled with the approximate value of the continuous function generates an edge detection method which creates edge images clearer than those by other methods. A few examples of applying our methods are included.

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Effect of Contact Area on Friction and Wear Behavior in Atomic Force Microscope (원자 현미경을 이용한 접촉 면적에 따른 마찰 및 마멸 특성 분석)

  • Choi Dukhyun;Hwang Woonbong
    • Journal of the Korean Society for Precision Engineering
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    • v.21 no.12
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    • pp.167-173
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    • 2004
  • Recently, it has been reported that frictional behavior at nanometer scale can be different from that at macro scale. In this article, friction and wear tests were conducted using an AFM to investigate the effect of real contact area on the coefficient of friction and wear property. SiO$_2$, Hica, and SiGe were used in friction test and the AFM tip was Si$_3$N$_4$. The real contact area between an AFM tip and flat surface was calculated by the Johnson-Kendall-Roberts (JKR) theory. Wear specimen was Mica, and the diamond tip was used. We found that the coefficient of friction is constant below a critical area, but it is degraded over the area. Moreover, it is found that wear depth increased rapidly from a certain load and was degraded as a function of the number of the scanning cycles. Also, the range of scanning velocity used in this study had little effect on the wear depth.

Analysis of Operational Concept Development Guide, Process and A Case Study (운용개념 개발 가이드와 프로세스 분석 및 작성 사례 연구)

  • Park, Joongyong
    • Journal of the Korean Society of Systems Engineering
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    • v.9 no.1
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    • pp.13-23
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    • 2013
  • Operational Concept Descriptions or Document(OCD) shall be developed to understand stakeholder's desire for to-be-delivered system. But there is little study on methodology of OCD generation and many developers do not understand importance of OCD in Korea. According to Nicole Roberts' industry(18 U.S. companies and organizations) survey, only 30% of system development projects had OCD, too. Researchers and developers have opposing views regarding the generation of an OCD. Many researchers believe that the development and use of operational concepts at the start of large projects is essential. Alternatively, developers may view the OCD as a burden to the development process rather than an enabler due to the extensive documentation requirement. In this paper a couple of OCD guidelines were investigated to clarify how to build a CONOPS effectively and what to include. Finally, OCD for rotorcraft based Personal Air Vehicle System(PAVS) was developed as a case study. In the future, a template for generating OCD appropriate to Korean environment could be proposed.

Model for Estimating CO2 Concentration in Package Headspace of Microbiologically Perishable Food

  • Lee, Dong-Sun;Kim, Hwan-Ki;An, Duck-Soon;Yam, Kit L.
    • Preventive Nutrition and Food Science
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    • v.16 no.4
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    • pp.364-369
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    • 2011
  • Levels of carbon dioxide gas, a metabolite of microbial growth, have been reported to parallel the onset of microbial spoilage and may be used as a convenient index for a packaged food's shelf life. This study aimed to establish a kinetic model of $CO_2$ production from perishable food for the potential use for shelf life control in the food supply chain. Aerobic bacterial count and package $CO_2$ concentration were measured during the storage of seasoned pork meat at four temperatures (0, 5, 10 and $15^{\circ}C$), and their interrelationship was investigated to establish a mathematical model. The microbial growth at constant temperature was described by using model of Baranyi and Roberts. $CO_2$ production from the stored food could be explained by taking care of its yield and maintenance factors linked to the microbial growth. By establishing the temperature dependence of the microbial growth and $CO_2$ yield factor, $CO_2$ partial pressure or concentration in package headspace could be estimated to a limited extent, which is helpful for controlling the shelf life under constant and dynamic temperature conditions. Application and efficacy of the model needs to be improved with further refinement in the model.

Synthesis, Characterization, and Electrochemical Behavior of Viologen-Functionalized Poly(Amidoamine) Dendrimers

  • Oh, Mi-Kyung;Bae, Sang-Eun;Yoon, Jung-Hyun;Roberts, Mary F.;Cha, Eun-Hee;J. Lee, Chi-Woo
    • Bulletin of the Korean Chemical Society
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    • v.25 no.5
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    • pp.715-720
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    • 2004
  • Amineterminated, ethylenediamine core polyamidoamine starburst dendrimers of generation 2 (G2), generation 4 (G4) and generation 6 (G6) have been successfully surface-modified via an amide coupling reaction with 4-ethyl, 4'-(3-propionic) bipyridinium cation and the electrochemical behavior of the resulting dendrimers were investigated in aqueous potassium chloride electrolyte solutions. The 1-[3-(dimethylamino)propyl]-3-ethylcarbodiimide hydrochloride/N-hydroxysuccinimide-mediated reaction resulted in 25-39% end-group functionalization. The water-soluble 4-ethyl, 4'-(3-propylamide) bipyridinium dibromide dendrimers (G2-V2+, G4-V2+ and G6-V2+) were characterized by $^1H$ NMR and UV-Vis spectroscopic methods. The cyclic voltammetric and chronoamperometric experiments were performed to determine the diffusion coefficient and the number of electrons transferred in the process of the first reduction of the viologen-functionalized dendrimers. Adsorption of viologen-functionalized dendrimers at electrode surface was evidenced in the voltammograms. Experimentally determined diffusion coefficients were in good agreement with the values expected from the Stokes-Einstein relation, while the number of electrons transferred concurred with the extent of functionalization determined by $^1H$ NMR and UV-Vis spectra.

APPLICATION OF UNCERTAINTY ANALYSIS TO MAAP4 ANALYSES FOR LEVEL 2 PRA PARAMETER IMPORTANCE DETERMINATION

  • Roberts, Kevin;Sanders, Robert
    • Nuclear Engineering and Technology
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    • v.45 no.6
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    • pp.767-790
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    • 2013
  • MAAP4 is a computer code that can simulate the response of a light water reactor power plant during severe accident sequences, including actions taken as part of accident management. The code quantitatively predicts the evolution of a severe accident starting from full power conditions given a set of system faults and initiating events through events such as core melt, reactor vessel failure, and containment failure. Furthermore, models are included in the code to represent the actions that could mitigate the accident by in-vessel cooling, external cooling of the reactor pressure vessel, or cooling the debris in containment. A key element tied to using a code like MAAP4 is an uncertainty analysis. The purpose of this paper is to present a MAAP4 based analysis to examine the sensitivity of a key parameter, in this case hydrogen production, to a set of model parameters that are related to a Level 2 PRA analysis. The Level 2 analysis examines those sequences that result in core melting and subsequent reactor pressure vessel failure and its impact on the containment. This paper identifies individual contributors and MAAP4 model parameters that statistically influence hydrogen production. Hydrogen generation was chosen because of its direct relationship to oxidation. With greater oxidation, more heat is added to the core region and relocation (core slump) should occur faster. This, in theory, would lead to shorter failure times and subsequent "hotter" debris pool on the containment floor.

Microbial Quality Change Model of Korean Pan-Fried Meat Patties Exposed to Fluctuating Temperature Conditions

  • Kim, So-Jung;An, Duck-Soon;Lee, Hyuek-Jae;Lee, Dong-Sun
    • Preventive Nutrition and Food Science
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    • v.13 no.4
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    • pp.348-353
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    • 2008
  • Aerobic bacterial growth on Korean pan.fried meat patties as a primary quality deterioration factor was modeled as a function of temperature to estimate microbial spoilage on a real.time basis under dynamic storage conditions. Bacteria counts in the stretch.wrapped foods held at constant temperatures of 0, 5, 10 and $15^{\circ}C$ were measured throughout storage. The bootstrapping method was applied to generate many resampled data sets of mean microbial counts, which were then used to estimate the parameters of the microbial growth model of Baranyi & Roberts in the form of differential equations. The temperature functions of the primary model parameters were set up with confidence limits. Incorporating the temperature dependent parameters into the differential equations of bacterial growth could produce predictions closely representing the experimental data under constant and fluctuating temperature conditions.