• Title/Summary/Keyword: Real-time Cost Estimation

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GPU-Accelerated Single Image Depth Estimation with Color-Filtered Aperture

  • Hsu, Yueh-Teng;Chen, Chun-Chieh;Tseng, Shu-Ming
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.8 no.3
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    • pp.1058-1070
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    • 2014
  • There are two major ways to implement depth estimation, multiple image depth estimation and single image depth estimation, respectively. The former has a high hardware cost because it uses multiple cameras but it has a simple software algorithm. Conversely, the latter has a low hardware cost but the software algorithm is complex. One of the recent trends in this field is to make a system compact, or even portable, and to simplify the optical elements to be attached to the conventional camera. In this paper, we present an implementation of depth estimation with a single image using a graphics processing unit (GPU) in a desktop PC, and achieve real-time application via our evolutional algorithm and parallel processing technique, employing a compute shader. The methods greatly accelerate the compute-intensive implementation of depth estimation with a single view image from 0.003 frames per second (fps) (implemented in MATLAB) to 53 fps, which is almost twice the real-time standard of 30 fps. In the previous literature, to the best of our knowledge, no paper discusses the optimization of depth estimation using a single image, and the frame rate of our final result is better than that of previous studies using multiple images, whose frame rate is about 20fps.

A Study on the Software Development to Automate the Calculation for the Landscape Architecture Construction Cost Estimation. (조경 공사 내역서 계산 자동화를 위한 소프트웨어 개발에 관한 연구)

  • 이규석;황국웅
    • Journal of the Korean Institute of Landscape Architecture
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    • v.20 no.2
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    • pp.106-118
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    • 1992
  • The landscape architecture construction cost estimation includes the repeated calculation and updating. Thus, it is time-consuming, and one of the jobs which needs to be automated first. In Korea, the IBM compatible personal computer(PC) is the most widely used one in the landscape architecture firms. However, the software for landscape architecture construction cost estimation is not being used in the PC environment. Therefore, the purpose of this study is to develop the software which can be used to automate the calculation for the landscape architecture construction cost estimation, and runs in the IBM compatible personal computers(PC). The clipper '88 summer is one of the DBMS software packages, and it has many commands and functions and functions which reduces program lines and makes the programing efficient, especially in the programing work whose total source code lines do not exceed over 10,000 lines. So, it was used in this study. The software developed in the this study was tested using the real data, and it was found that it can be efficiently used in the following jobs. They are: (1) to calculate exactly and rapidly. (2) to use resources repeatedly. (3) to print out the results. (4) to store data files for the future use. The software, as discussed in this paper, reduces the time and efforts to be spent in the calculation for the landscape architecture construction cost estimation compared with the traditional approach using the pocket calculator.

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Stochastic analysis for Real Rate Interest of Building Life Cycle Cost(LCC) with Monte-Carlo Simulation (몬테카를로 시뮬레이션을 이용한 건축물 생애주기비용(LCC)의 실질할인율에 대한 확률론적 분석)

  • Kim, Bum-Sic;Jung, Young-Han
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2012.05a
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    • pp.161-163
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    • 2012
  • Recently on Value Engineering(VE) and Life Cycle Cost(LCC) social interests is increasing. The government Turn Key, BTL projects and public works projects, such as VE and LCC Analysis on the value and economic analysis is mandatory. And accordingly the VE and LCC analysis is underway for the various studies. However, there is a problem existing in the LCC analysis. Worth the cost varies according to the flow of time. However, the real interest rate during the LCC analysis of buildings in calculation time for interest rates and inflation are not considering the value of the flow. In other words, a few years using the average value of the deterministic analysis method has been adopted. These costs for the definitive analysis of the cost of an uncertain future, unforeseen changes resulting hazardous value. In this study of the last 15 years interest rates and inflation targeting by using Monte-Carlo Simulation is to perform probabilistic analysis. This potential to overcome uncertainties of the cost of building a more scientific and LCC Estimation of the probability value of the real interest rate is presented.

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Probabilistic real-time updating for geotechnical properties evaluation

  • Ng, Iok-Tong;Yuen, Ka-Veng;Dong, Le
    • Structural Engineering and Mechanics
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    • v.54 no.2
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    • pp.363-378
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    • 2015
  • Estimation of geotechnical properties is an essential but challenging task since they are major components governing the safety and reliability of the entire structural system. However, due to time and budget constraints, reliable geotechnical properties estimation using traditional site characterization approach is difficult. In view of this, an alternative efficient and cost effective approach to address the overall uncertainty is necessary to facilitate an economical, safe and reliable geotechnical design. In this paper a probabilistic approach is proposed for real-time updating by incorporating new geotechnical information from the underlying project site. The updated model obtained from the proposed method is advantageous because it incorporates information from both existing database and the site of concern. An application using real data from a site in Hong Kong will be presented to demonstrate the proposed method.

Implementation of a Labview Based Time-Frequency Domain Reflectometry Real Time System using the PXI Modules (PXI모듈을 이용한 랩뷰 기반 시간-주파수 영역 반사파 실시간 계측 시스템 구현)

  • Park, Tae-Geun;Kwak, Ki-Seok;Park, Jin-Bae;Yoon, Tae-Sung
    • Proceedings of the KIEE Conference
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    • 2006.04a
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    • pp.336-338
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    • 2006
  • One of the important topics concerning the safety of electrical and electronic system is the reliability of the wiring system. The Time-Frequency Domain Reflectometry(TFDR) is a state-of-the-art system for detection and estimation of the fault on a wiring/cable. The purpose of this paper is to implement a Labview based TFDR Real Time system though the instruments of PCI extensions for Instrumentation(PXI). The TFDR Real Time system consists of the five parts: Reference signal design, signal generation, signal acquisition, algorithm execution, results diplay part. In the signal generation and acquisition parts we adopt the Arbitrary Waveform Generator(AWG) and Digital Storage Oscilloscope(DSO) PXI modules which offer commonality, compatibility and easy integration at low cost. And execution of the PXI modules not only is controlled by the Labview programing but also the total system process is executed by the Labview application software.

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Printing Time/Material Usage Estimation of 3-D Printer Using Digital Printing Method (디지털 프린팅 방식 3차원 프린터의 출력 시간 및 재료 사용량 예측 방법)

  • Park, Jaeil;Cho, Sungwook;Lee, Gyeorye;Kim, Dusu
    • Korean Journal of Computational Design and Engineering
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    • v.22 no.2
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    • pp.215-221
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    • 2017
  • This paper describes a method of precise estimation for printing time and material consumption which are directly related to the 3D printing cost. Printing process and head motion of 3D printers using digital printing head, which is analyzed by its digitized steps, is rapidly simulated without slicing to calculate estimated printing results. Using this method, printing time and material usage of 3D printer were estimated quickly and precisely and compared to the real printing result. Applying compensation using the printing parameters, transferred from the 3D printer to the printing estimation system, even more accurate estimation is achieved. This method is used in the 3D Sprint software.

Development of the Soil Thermal Property and Temperature Measurement System for the Real-time Ampacity Estimation of Underground Power Cables (실시간 지중 전력케이블 용량 평가를 위한 토양 열 특성 및 온도 측정 시스템 개발)

  • Jeong, Seong-Hwan;Kim, Dae-Kyeong;Choi, Sang-Bong
    • Proceedings of the KIEE Conference
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    • 2002.07a
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    • pp.22-24
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    • 2002
  • This paper introduces the real-time soil thermal property analyzer and temperature measuring system which is combined with radio telecommunication technique. To measure the thermal parameters in real-time, the radio telecommunication technique are used the personal communication service (PCS) which is in the world-wide serviced commercially firstly by CDMA. The thermal property analyzer has an ability of measuring thermal resistivity, thermal diffusivity and thermal stability. To estimate the soil thermal properties, the curve fitting algorithm by means of the least square method are used. TCP/IP protocol and MTM are used to install the real-time soil thermal property and temperature measurement system at multiple locations along routes of the underground power cables and to reduce the cost of telecommunication.

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An Improved Three-Step Search Algorithm for Block Motion Estimation

  • Hong, Won-Gi
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.25 no.9B
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    • pp.1604-1608
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    • 2000
  • The three-step search (TSS) algorithm for block motion estimation has been widely used in real-time video coding due to the simplicity of the algorithm significant reduction of computationl cost and good performance. In this paper an improved three-step search (ITS) algorithm is proposed to improve the performance of the TSS algorithm. Simulation results show that in terms of motion compensation errors the proposed ITSS outperforms some popular fast search algorithms while it has the lower computational complexity.

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A light-weight Gender/Age Estimation model based on Multi-taking Deep Learning for an Embedded System (임베디드 시스템을 위한 멀티태스킹 딥러닝 학습 기반 경량화 성별/연령별 추정)

  • Bao, Huy-Tran Quoc;Chung, Sun-Tae
    • Proceedings of the Korea Information Processing Society Conference
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    • 2020.05a
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    • pp.483-486
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    • 2020
  • Age estimation and gender classification for human is a classic problem in computer vision. Almost research focus just only one task and the models are too heavy to run on low-cost system. In our research, we aim to apply multitasking learning to perform both task on a lightweight model which can achieve good precision on embedded system in the real time.