• Title/Summary/Keyword: 작업 영역

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A Terrestrial LiDAR Based Method for Detecting Structural Deterioration, and Its Application to Tunnel Maintenance (터널 유지관리를 위한 지상 LiDAR 기반의 구조물 변상탐지 기법 연구)

  • Bae, Sang Woo;Kwak, Jae Hwan;Kim, Tae Ho;Park, Sung Wook;Lee, Jin Duk
    • The Journal of Engineering Geology
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    • v.25 no.2
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    • pp.227-235
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    • 2015
  • In recent years, owing to the frequent occurrence of natural disasters, the inspection and maintenance of structures have become increasingly important on a national scale. However, because most structural inspections are carried out manually, and due to the lack of objectivity in data acquisition, quantitative data are not always available. As a result, researchers are seeking ways to collect and standardize survey data using terrestrial laser scanning, thereby bypassing the limitations associated with visual investigations. However, field data acquired using a laser scanner have been required to measure changes in structure geometry resulting from passive deterioration. In this study, we demonstrate that it is possible to identify the processes of structural deterioration (e.g., efflorescence, leakage, delamination) using intensity data from terrestrial laser scanning. Additionally, we confirm the viability of automated classification of alteration type and objectification of the polygon area by establishing intensity characteristics. Finally, we show that our method is effective for structural inspection and maintenance.

Issues in Applying CV Methods to the Preliminary Feasibility Test (예비타당성조사 적용 CVM의 분석체계와 개선과제)

  • Eom, Young Sook;Kwon, Oh-Sang;Shin, Youngchul
    • Environmental and Resource Economics Review
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    • v.20 no.3
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    • pp.595-628
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    • 2011
  • This study investigates the issues and suggests reform measures in applying CV methods to the Korea Development Institute's (KDI's) Preliminary Feasibility Test (PFT) of public projects. Most public projects on culture, science and environment evaluated under the PFT system belong to the category of "nonstandard" projects whose outputs are non-marketed, and CV is currently the main tool used for their benefit estimation. A careful discussion and investigation is recommended for the selection of target population, payment vehicle, and number of payment times. Operating expert reviews, focus group interviews, and pre-tests is highly recommended to reduce the potential bias involved in the CV studies. A single or double bounded dichotomous choice format is the most popular design of questionnaire, but we identify several undissolved issues in designing and implementing the format. Some other forms of inducing WTPs may still deserve our consideration. Various specifications of the WTP function need to be tried and tested based on their stability, in particular. Employing a nonparametric approach is also recommended. Treatments of 0 or negative WTPs and protest bids are shown to be the most serious issues that affect the estimation results significantly. We review diverse measures of handling those issues and summarize their advantages and shortcomings.

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Development of Evaluation Framework and Professional Evaluation of Health Information Predictability (건강정보의 예보성 평가준거를 활용한 전문가 평가결과 분석연구)

  • Kang, Min-Sug;Lee, Moo-Sik;Hong, Jee-Young;Kim, Sang-Ha
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.10 no.10
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    • pp.2966-2973
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    • 2009
  • In this article, I propose effective strategies for improving the Predictive Health Care. The results of qualitative study on health information show the following order from the highest score: whether health information is scientifically sound ($3.7\pm0.5$), whether people can easily understand health information ($3.6\pm0.5$), and whether health information reflects the public'sconcerns (($3.5\pm0.5$), and whether health information includes enough information to satisfy the public ($2.9\pm0.6$). The most pressing reforms for the effective Predictive Health Care areto provide enough health information and regularly collection of information because the Predictive Health Care has not provided enough information, authoritative information has rarely been offered, and methodological limitations on producing and applying predictive information have not been addressed. Although the Predictive Health Care provides online services like web-based epidemic reporting system, it needs to extend services from the epidemic information to general health information because of lack of promoting the Predictive Health Care and of credibility of information offered so far. Lastly, the Predictive Health Care needs to strengthen efforts to collect information, form common grounds between information and the public's concerns, clarify classification system of information, and offer an easy way for the public to use information.

Wireless u-PC: Personal workspace on an Wireless Network Storage (Wireless u-PC : 무선 네트워크 스토리지를 이용한 개인 컴퓨팅 환경의 이동성을 지원하는 서비스)

  • Sung, Baek-Jae;Hwang, Min-Kyung;Kim, In-Jung;Lee, Woo-Joong;Park, Chan-Ik
    • Journal of KIISE:Computing Practices and Letters
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    • v.14 no.9
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    • pp.916-920
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    • 2008
  • The personal workspace consists of user- specified computing environment such as user profile, applications and their configurations, and user data. Mobile computing devices (i.e., cellular phones, PDAs, laptop computers, and Ultra Mobile PC) are getting smaller and lighter to provide personal work-space ubiquitously. However, various personal work-space mobility solutions (c.f. VMWare Pocket ACE[1], Mojopac[2], u-PC[3], etc.) are appeared with the advance of virtualization technology and portable storage technology. The personal workspace can be loaded at public PC using above solutions. Especially, we proposed a framework called ubiquitous personal computing environment (u-PC) that supports mobility of personal workspace based on wireless iSCSI network storage in our previous work. However, previous u-PC could support limited applications, because it uses IRP (I/O Request Packet) forwarding technique at filter driver level on Windows operating system. In this paper, we implement OS-level virtualization technology using system call hooking on Windows operating system. It supports personal workspace mobility and covers previous u-PC limitation. Also, it overcomes personal workspace loading overhead that is limitation of other solutions (i.e., VMWare Pocket ACE, Mojopac, etc). We implement a prototype consisting of Windows XP-based host PC and Linux-based mobile device connected via WiNET protocol of UWB. We leverage several use~case models of our framework for proving its usability.

Implementation of Massive FDTD Simulation Computing Model Based on MPI Cluster for Semi-conductor Process (반도체 검증을 위한 MPI 기반 클러스터에서의 대용량 FDTD 시뮬레이션 연산환경 구축)

  • Lee, Seung-Il;Kim, Yeon-Il;Lee, Sang-Gil;Lee, Cheol-Hoon
    • The Journal of the Korea Contents Association
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    • v.15 no.9
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    • pp.21-28
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    • 2015
  • In the semi-conductor process, a simulation process is performed to detect defects by analyzing the behavior of the impurity through the physical quantity calculation of the inner element. In order to perform the simulation, Finite-Difference Time-Domain(FDTD) algorithm is used. The improvement of semiconductor which is composed of nanoscale elements, the size of simulation is getting bigger. Problems that a processor such as CPU or GPU cannot perform the simulation due to the massive size of matrix or a computer consist of multiple processors cannot handle a massive FDTD may come up. For those problems, studies are performed with parallel/distributed computing. However, in the past, only single type of processor was used. In GPU's case, it performs fast, but at the same time, it has limited memory. On the other hand, in CPU, it performs slower than that of GPU. To solve the problem, we implemented a computing model that can handle any FDTD simulation regardless of size on the cluster which consist of heterogeneous processors. We tested the simulation on processors using MPI libraries which is based on 'point to point' communication and verified that it operates correctly regardless of the number of node and type. Also, we analyzed the performance by measuring the total execution time and specific time for the simulation on each test.

An Adaptive Multi-Level Thresholding and Dynamic Matching Unit Selection for IC Package Marking Inspection (IC 패키지 마킹검사를 위한 적응적 다단계 이진화와 정합단위의 동적 선택)

  • Kim, Min-Ki
    • The KIPS Transactions:PartB
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    • v.9B no.2
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    • pp.245-254
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    • 2002
  • IC package marking inspection system using machine vision locates and identifies the target elements from input image, and decides the quality of marking by comparing the extracted target elements with the standard patterns. This paper proposes an adaptive multi-level thresholding (AMLT) method which is suitable for a series of operations such as locating the target IC package, extracting the characters, and detecting the Pinl dimple. It also proposes a dynamic matching unit selection (DMUS) method which is robust to noises as well as effective to catch out the local marking errors. The main idea of the AMLT method is to restrict the inputs of Otsu's thresholding algorithm within a specified area and a partial range of gray values. Doing so, it can adapt to the specific domain. The DMUS method dynamically selects the matching unit according to the result of character extraction and layout analysis. Therefore, in spite of the various erroneous situation occurred in the process of character extraction and layout analysis, it can select minimal matching unit in any environment. In an experiment with 280 IC package images of eight types, the correct extracting rate of IC package and Pinl dimple was 100% and the correct decision rate of marking quality was 98.8%. This result shows that the proposed methods are effective to IC package marking inspection.

The Effects of Design Thinking-based Collaborative Workshop on Creative Problem Solving: Focused on the development case of SAP Smart Bulk Bin Monitoring System (디자인 사고 기반의 협력적 워크숍이 창의적 문제해결에 미치는 영향 : SAP 스마트 벌크빈 모니터링 시스템 개발 사례를 중심으로)

  • Jeon, Young-Ok;Choi, Hye-Jeong
    • Journal of Digital Convergence
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    • v.15 no.10
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    • pp.429-436
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    • 2017
  • A design thinking-based collaborative workshop in which various stakeholders in the milk processing industry circulation ecosystem participated shows a new problem innovation paradigm that encourages the spread of practical prototyping culture. in the expression of empathy and collective intelligence among members on facing issues, the conversion of collaboration and communication methods, the business handling of the organization based on the design work method as 'creativity mechanism'. In this workshop, which was promoted in three stages of 'approach to problems', 're-definition of problems', and 'experience-based future vision design', participants themselves redefine real problems in terms of the accuracy of feed orders between feed suppliers and livestock farmers, ordering of feeds on time, cost reduction of feed supply and present new alternatives and expanded business areas. The results suggested in this workshop suggest the usefulness of design thinking in business innovation in that they presented how to approach the problem and a creative thinking system to find its solution to direct and indirect stakeholders of the industry as well as the improvement of supply and demand rate of livestock feed and quality.

Determination of Personnel Exposures in the Lower Energy Ranges of X-Ray by Photographic Dosimeter (저(低)에너지 X-선장(線場)에서 필름배지에 의한 개인피폭선량(個人被曝線量)의 결정(決定))

  • Ha, C.W.;Kim, J.R.;Suh, K.W.
    • Journal of Radiation Protection and Research
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    • v.11 no.1
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    • pp.57-64
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    • 1986
  • This paper described an improved technical method required for proper evaluation of personnel exposures by means of the photographic dosimeter developed by KAERI in lower gamma or X-ray energy regions, with which response of the dosimeter varies significantly. With calibration of the dosimeter in the energy range from 30 to 300 keV, the beam spectrum was carefully selected and specified it adequately. The absorber combinations and absorber thickness used to obtain the specified X-ray spectra from a constant potential X-ray machine were determined theoretically and also experimentally. A correlation between the density and exposure for the four separate energies, such as $49\;keV_{eff},\;154\;keV_{eff}\;250\;keV_{eff}\;and\;662\;keV$, is experimentally determined. As a result, it can be directly evaluated the exposure from the measured response of dosimeter.

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Fixed-Point Modeling and Performance Analysis of a SIFT Keypoints Localization Algorithm for SoC Hardware Design (SoC 하드웨어 설계를 위한 SIFT 특징점 위치 결정 알고리즘의 고정 소수점 모델링 및 성능 분석)

  • Park, Chan-Ill;Lee, Su-Hyun;Jeong, Yong-Jin
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.45 no.6
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    • pp.49-59
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    • 2008
  • SIFT(Scale Invariant Feature Transform) is an algorithm to extract vectors at pixels around keypoints, in which the pixel colors are very different from neighbors, such as vortices and edges of an object. The SIFT algorithm is being actively researched for various image processing applications including 3-D image constructions, and its most computation-intensive stage is a keypoint localization. In this paper, we develope a fixed-point model of the keypoint localization and propose its efficient hardware architecture for embedded applications. The bit-length of key variables are determined based on two performance measures: localization accuracy and error rate. Comparing with the original algorithm (implemented in Matlab), the accuracy and error rate of the proposed fixed point model are 93.57% and 2.72% respectively. In addition, we found that most of missing keypoints appeared at the edges of an object which are not very important in the case of keypoints matching. We estimate that the hardware implementation will give processing speed of $10{\sim}15\;frame/sec$, while its fixed point implementation on Pentium Core2Duo (2.13 GHz) and ARM9 (400 MHz) takes 10 seconds and one hour each to process a frame.

A Development of Fusion Processor Architecture for Efficient Main Memory Access in CPU-GPU Environment (CPU-GPU환경에서 효율적인 메인메모리 접근을 위한 융합 프로세서 구조 개발)

  • Park, Hyun-Moon;Kwon, Jin-San;Hwang, Tae-Ho;Kim, Dong-Sun
    • The Journal of the Korea institute of electronic communication sciences
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    • v.11 no.2
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    • pp.151-158
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    • 2016
  • The HSA resolves an old problem with existing CPU and GPU architectures by allowing both units to directly access each other's memory pools via unified virtual memory. In a physically realized system, however, frequent data exchanges between CPU and GPU for a virtual memory block result bottlenecks and coherence request overheads. In this paper, we propose Fusion Processor Architecture for efficient access of main memory from both CPU and GPU. It consists of Job Manager, Re-mapper, and Pre-fetcher to control, organize, and distribute work loads and working areas for GPU cores. These components help on reducing memory exchanges between the two processors and improving overall efficiency by eliminating faulty page table requests. To verify proposed algorithm architectures, we develop an emulator based on QEMU, and compare several architectures such as CUDA(Compute Unified Device Architecture), OpenMP, OpenCL. As a result, Proposed fusion processor architectures show 198% faster than others by removing unnecessary memory copies and cache-miss overheads.