• Title/Summary/Keyword: Generation Prediction

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Fragility curves of gravity-load designed RC buildings with regularity in plan

  • Masi, A.;Digrisolo, A.;Manfredi, V.
    • Earthquakes and Structures
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    • v.9 no.1
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    • pp.1-27
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    • 2015
  • In this paper Fragility Curves (FCs) relevant to existing RC framed building types representative of the Italian building population designed only to vertical load and regular in-plan have been derived from an extensive campaign of non-linear dynamic analyses. In the generation of the FCs, damage states according to the EMS98 scale have been considered while the intensity measure has been defined by adopting an integral parameter, such as the Housner intensity. FCs have been generated by varying different parameters, including building age, number of storeys, presence and position of infill panels, plan dimensions, external beams stiffness and concrete strength. In order to verify the effectiveness of the damage prediction, comparisons were made between the results obtained from the proposed FCs with those deriving from both prominent fragility studies available in the technical literature and damage distributions observed in past earthquakes. Results show that damage grades obtained by adopting the proposed FCs are generally lower than those provided by the other approaches considered. A comparison with real damage data, shows that the proposed FCs generally estimate more severe damage distributions than those observed in past earthquakes, although they give lower differences with respect to the other approaches.

Genome Sequencing and Genome-Wide Identification of Carbohydrate-Active Enzymes (CAZymes) in the White Rot Fungus Flammulina fennae

  • Lee, Chang-Soo;Kong, Won-Sik;Park, Young-Jin
    • Microbiology and Biotechnology Letters
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    • v.46 no.3
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    • pp.300-312
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    • 2018
  • Whole-genome sequencing of the wood-rotting fungus, Flammulina fennae, was carried out to identify carbohydrate-active enzymes (CAZymes). De novo genome assembly (31 kmer) of short reads by next-generation sequencing revealed a total genome length of 32,423,623 base pairs (39% GC). A total of 11,591 gene models in the assembled genome sequence of F. fennae were predicted by ab initio gene prediction using the AUGUSTUS tool. In a genome-wide comparison, 6,715 orthologous groups shared at least one gene with F. fennae and 10,667 (92%) of 11,591 genes for F. fennae proteins had orthologs among the Dikarya. Additionally, F. fennae contained 23 species-specific genes, of which 16 were paralogous. CAZyme identification and annotation revealed 513 CAZymes, including 82 auxiliary activities, 220 glycoside hydrolases, 85 glycosyltransferases, 20 polysaccharide lyases, 57 carbohydrate esterases, and 45 carbohydrate binding-modules in the F. fennae genome. The genome information of F. fennae increases the understanding of this basidiomycete fungus. CAZyme gene information will be useful for detailed studies of lignocellulosic biomass degradation for biotechnological and industrial applications.

A Design of Component-based System Architecture for COMS Meteorological Data Processing (천리안위성 기상자료처리를 위한 컴포넌트 기반의 시스템 아키텍처 설계)

  • Cho, Sanggyu;Kim, Byunggil;SaKong, Youngbo
    • Journal of Satellite, Information and Communications
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    • v.9 no.1
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    • pp.65-69
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    • 2014
  • The Communication, Ocean and Meteorological Satellite(COMS) data processing system(CMDPS) has developed to support the meteorological observation and weather prediction by NMSC(National Meteorological Satellite Center) and it is generating the 16 kind of meteorological data(Level 2 product). Unfortunately, currently CMDPS has some problems in terms of the system maintenance and the integrated software efficiency, and the extension to support the next generation meteorological satellite data processing. To solve this problems, in this paper, we suggest the extensible component-based system architecture for COMS meteorological data processing with consideration of identified issues. Proposed system is adapted the component-based frameworks with extensible architecture. We expects that this system will be provide easy ways to develop new satellite data processing algorithms and to maintain the system.

Three Dimensional Solidification Analysis in Large Steel Castings by Modified Finite Difference Method (개량차분법에 의한 대형주강품의 3차원 응고해석)

  • Yoo, Seung-Mog;Lee, Doo-Ho;Kim, Jong-Ki;So, Chan-Young;Hong, Chun-Pyo
    • Journal of Korea Foundry Society
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    • v.11 no.1
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    • pp.54-62
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    • 1991
  • A computer program which consists of pre-processor, main solidification simulator and post-processor has been developed for three dimensional solidification analysis of steel castings. The pre-processor is used for mesh generation in a small personal computing system. The modified finite difference method is adopted for the main solidification simulation algorithm. The post -processor graphically presents the simulation results and shows the formation of shrinkage defects. Several experiments on large steel castings in sand mold were carried out. The temperature variations in casting and mold with time are measured experimentally, and the results are compared with calculation results. Several numerical examples for the prediction of shrinkage cavity in large steel casting of SC42 and SCNCrM2 alloys are compared with experimental results. The effect of sleeve and chills on solidification patterns are also studied. Formation of shrinkage defects for the three cases of experimental castings are relatively well predicted by present model.

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An Analysis for the Characteristics of Digital TVs in CES in the View of Technology Growth and Substitution Curves (기술 성장 및 대체 곡선 관점에서의 CES 출품 Digital TV의 특성 분석)

  • Kim, Do-Goan;Shin, Seong-Yoon;Jin, Chan-Yong
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.17 no.6
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    • pp.1336-1341
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    • 2013
  • Through reviewing the characteristics of digital TVs, which have emerged in CES since 2005, in the view of technology growth and substitution curves, this paper is to provide a prediction on the next generation's multi-media on smart environment. As a result, digital TV has been developed on the flow of its technology growth curve from the early version in 2005 to smart digital TV in 2013, which emphasizes the key word "connected", and it has already come to the market puberty.

Finite State Model-based Predictive Current Control with Two-step Horizon for Four-leg NPC Converters

  • Yaramasu, Venkata;Rivera, Marco;Narimani, Mehdi;Wu, Bin;Rodriguez, Jose
    • Journal of Power Electronics
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    • v.14 no.6
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    • pp.1178-1188
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    • 2014
  • This study proposes a finite-state model predictive controller to regulate the load current and balance the DC-link capacitor voltages of a four-leg neutral-point-clamped converter. The discrete-time model of the converter, DC-link, inductive filter, and load is used to predict the future behavior of the load currents and the DC-link capacitor voltages for all possible switching states. The switching state that minimizes the cost function is selected and directly applied to the converter. The cost function is defined to minimize the error between the predicted load currents and their references, as well as to balance the DC-link capacitor voltages. Moreover, the current regulation performance is improved by using a two-step prediction horizon. The feasibility of the proposed predictive control scheme for different references and loads is verified through real-time implementation on the basis of dSPACEDS1103.

Kalman Filter-Based Ensemble Timescale with 3- Hydrogen Masers

  • Lee, Ho Seong;Kwon, Taeg Yong;Lee, Young Kyu;Yang, Sung-hoon;Yu, Dai-Hyuk
    • Journal of Positioning, Navigation, and Timing
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    • v.9 no.3
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    • pp.261-272
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    • 2020
  • A Kalman filter algorithm is used for the generation of an ensemble timescale with three hydrogen masers maintained in KRISS. Allan deviation curves of three pairs of clocks were obtained by a three-cornered hat method and were used as reference curves for determination of parameters of the Kalman filter-based timescale. The ensemble timescale equation of a 3-clock system was established, and the clocks' phases estimated by the Kalman filter were used as the prediction time of each clock in the equation. The weight of each clock was determined inversely proportional to the Allan variance calculated with the clocks' phases. The Allan deviation of the weighted mean was 1.2×10-16 at the averaging time of 57,600 s. However when we made fine adjustments of the clocks' weight, the minimum Allan deviation of 2×10-17 was obtained. To find out the reason of the great improvement in the frequency stability, additional researches are in progress theoretically and experimentally.

Established Smart Disaster Safety Management Response System based on the 4th Industrial Revolution (4차 산업혁명 기반 스마트 재난안전관리 대응체계 구축)

  • Kang, Heau-Jo
    • Journal of Digital Contents Society
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    • v.19 no.3
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    • pp.561-567
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    • 2018
  • In this paper, we apply this method to the entire process of smart disaster safety management based on the $4^{th}$ industrial revolution to minimize human, social, economic and environment damage from accidents and disasters, prevention evaluation and disaster information collection analysis and real-time detection of field situation. Prevention of $5^{th}$ generation communication system by analysis, contrast by education and training using virtual reality and augmented reality disaster safety management decision support system intelligent robot for recovery, disaster, discovery, reconnaissance relief, and scale analysis of damages were proposed.

Cloud-based Intelligent Management System for Photovoltaic Power Plants (클라우드 기반 태양광 발전단지 통합 관리 시스템)

  • Park, Kyoung-Wook;Ban, Kyeong-Jin;Song, Seung-Heon;Kim, Eung-Kon
    • The Journal of the Korea institute of electronic communication sciences
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    • v.7 no.3
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    • pp.591-596
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    • 2012
  • Recently, the efficient management system for photovoltaic power plants has been required due to the continuously increasing construction of photovoltaic power plants. In this paper, we propose a cloud-based intelligent management system for many photovoltaic power plants. The proposed system stores the measured data of power plants using Hadoop HBase which is a column-oriented database, and processes the calculations of performance, efficiency, and prediction the amount of power generation by parallel processing based on Map-Reduce model. And, Web-based data visualization module allows the administrator to provide information in various forms.

Prediction of Micro-Bubble Releasing Concentration with the Retention Time of a Micro-Bubble Generating Pump (미세기포 발생펌프 내 체류시간에 따른 미세기포의 발생 농도 예측)

  • Ambrosia, Matthew Stanley;Lee, Chang-Han
    • Journal of Environmental Science International
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    • v.25 no.6
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    • pp.829-837
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    • 2016
  • The mechanism of micro-bubble generation with a pump is not clarified yet, so the design of water treatment systems with a micro-bubble generating pump is based on trial and error methods. This study tried to explain clearly quantitative relationships of experimental micro-bubble concentration ($C_{air}$) of continuous operation tests with a micro-bubble generating pump and theoretical air solubility. Operation parameters for the tests were discharge pressure ($P_g$), water ($Q_{w0}$) and air ($q_0$) flow rates, orifice diameter ($D_o$), and retention time (t). The experimental micro-bubble concentrations ($C_{air}$) at 4.8 atm of discharge pressure ($P_g$) were in the range of 21.04 to 25.29 mL/L. When the retention time (t) by changing the pipe line length ($L_p$) increased from 1.22 to 6.77s, the experimental micro-bubble concentrations ($C_{air}$) increased from 25.86 to 30.78 mL air/L water linearly. The dissolved and dispersed micro-bubble concentrations ($C_{air}$) are approximately 4 times more than the theoretical air solubility.