• 제목/요약/키워드: parameter conversion

검색결과 238건 처리시간 0.03초

유무선 네트워크기반 지하철역사 공기질 제어의 위험성 평가 (Assessment of Risk in Wireless-Wired Network Based Control of Indoor Air Quality (IAQ) in Subway Stations)

  • 최기흥
    • 한국안전학회지
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    • 제29권1호
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    • pp.1-6
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    • 2014
  • With increasing number of citizen using subway stations everyday, safety, health and comfort of passengers and occupants became an important social issue. Considering the fact that various physical variables and pollutants are related to indoor air quality (IAQ) which may cause health problem, IAQ need to be closely monitored and controlled in multiple locations in subway stations. This study is a continuation of the previous studies and delay induced in wireless-wired network is experimentally evaluated and the risk involved is assessed. In doing that, a key parameter is identified to be the network delay in different network media. Application of information-theoretic measure to assess the risk in network delay is then discussed. The idea is based on the general principles of engineering design and their applications to quantification of uncertainty in network delay. Experimental results show that more risk is involved in wireless data communication. Efficient and fast conversion of transmission data in both LonWorks/IP server and ZL converter is also noted.

A Double-Hybrid Spread-Spectrum Technique for EMI Mitigation in DC-DC Switching Regulators

  • Dousoky, Gamal M.;Shoyama, Masahito;Ninomiya, Tamotsu
    • Journal of Power Electronics
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    • 제10권4호
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    • pp.342-350
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    • 2010
  • Randomizing the switching frequency (RSF) to reduce the electromagnetic interference (EMI) of switching power converters is a well-known technique that has been previously discussed. The randomized pulse position (RPP) technique, in which the switching frequency is kept fixed while the pulse position (the delay from the starting of the switching cycle to the turn-on instant within the cycle) is randomized, has been previously addressed in the literature for the same purpose. This paper presents a double-hybrid technique (DHB) for EMI reduction in dc-dc switching regulators. The proposed technique employed both the RSF and the RPP techniques. To effectively spread the conducted-noise frequency spectrum and at the same time attain a satisfactory output voltage quality, two parameters (switching frequency and pulse position) were randomized, and a third parameter (the duty ratio) was controlled by a digital compensator. Implementation was achieved using field programmable gate array (FPGA) technology, which is increasingly being adopted in industrial electronic applications. To evaluate the contribution of the proposed DHB technique, investigations were carried out for each basic PWM, RPP, RSF, and DHB technique. Then a comparison was made of the performances achieved. The experimentally investigated features include the effect of each technique on the common-mode, differential-mode, and total conducted-noise characteristics, and their influence on the converter’s output ripple voltage.

INTERACTIVE SYSTEM DESIGN USING THE COMPLEMENTARITY OF AXIOMATIC DESIGN AND FAULT TREE ANALYSIS

  • Heo, Gyun-Young;Lee, Tae-Sik;Do, Sung-Hee
    • Nuclear Engineering and Technology
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    • 제39권1호
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    • pp.51-62
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    • 2007
  • To efficiently design safety-critical systems such as nuclear power plants, with the requirement of high reliability, methodologies allowing for rigorous interactions between the synthesis and analysis processes have been proposed. This paper attempts to develop a reliability-centered design framework through an interactive process between Axiomatic Design (AD) and Fault Tree Analysis (FTA). Integrating AD and FTA into a single framework appears to be a viable solution, as they compliment each other with their unique advantages. AD provides a systematic synthesis tool while FTA is commonly used as a safety analysis tool. These methodologies build a design process that is less subjective, and they enable designers to develop insights that lead to solutions with improved reliability. Due to the nature of the two methodologies, the information involved in each process is complementary: a success tree versus a fault tree. Thus, at each step a system using AD is synthesized, and its reliability is then quantified using the FT derived from the AD synthesis process. The converted FT provides an opportunity to examine the completeness of the outcome from the synthesis process. This study presents an example of the design of a Containment Heat Removal System (CHRS). A case study illustrates the process of designing the CHRS with an interactive design framework focusing on the conversion of the AD process to FTA.

벨 크랭크 구조를 가지는 6 자유도 진동 시험기의 추적 제어 (Tracking Control of 6-DOF Shaking Table with Bell Crank Structure)

  • 전득재;박성호;박영진;박윤식;김형의
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2005년도 추계학술대회논문집
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    • pp.306-309
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    • 2005
  • This parer describes the tracking control simulation of 6-DOF shaking table with a bell crank structure, which converts the direction of reciprocating movements. For the Joint coordinate-based control which uses lengths of each actuator, the trajectory conversion process inverse kinematics is performed. Applying the Newton-Euler approach, the dynamic equation of the shaking table is derived. To cope with nonlinear problems, time-delay control(TDC) is considered, which has been noted for its exceptional robustness to parameter uncertainties and disturbance, in addition to steady-state accuracy and computational efficiency. If the nominal model is equal to the real system, joint coordinate-based control can be very efficient. However, manufacturing tolerances installation errors and link offsets contaminate the nominal values of the kinematic parameters used in the kinematic model of the shaking table. To compensate differences between the nominal model and the real system. the joint coordinate-based control using acceleration feedback in the Cartesian coordinate space is proposed.

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GPS CNAV 데이터를 이용한 저궤도 위성의 위치와 속도의 좌표 변환 (LEO Satellite Position and Velocity Coordinate Transformation Using GPS CNAV)

  • 김강호;김종원;기창돈;최수진
    • 한국항행학회논문지
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    • 제17권3호
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    • pp.271-278
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    • 2013
  • 본 논문에서는 새롭게 추가될 GPS civil signal 에 실릴 civil navigation message 중에서 Earth Orientation Parameter를 이용하여 ECEF 좌표계에서의 위치를 ECI로 변환하는 알고리즘을 설명하고 시뮬레이션을 통해서 결과를 분석하였다. Civil navigation message에 실릴 예정인 EOP를 이용하기 위해서는 GPS 시간을 UTC로 변환하여야 하고 좌표 변환의 중간 단계별로 필요한 여러 종류의 시간과 EOP 데이터를 활용할 수 있어야 한다. 알고리즘의 검증은 Earth Orientation Center에서 제공하는 EOP 데이터를 GPS CNAV에 실린 가상의 EOP 데이터로 가정하고 이를 이용하여 저궤도 위성의 위치와 속도를 변환하고 그 결과를 분석하였다.

Stability Control of Energy Storage Voltage Source Inverters in Isolated Power Systems

  • Hu, Jian;Fu, Lijun
    • Journal of Power Electronics
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    • 제18권6호
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    • pp.1844-1854
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    • 2018
  • Isolated power systems (IPS) are often characterized by a weak grid due to small power grids. The grid side voltage is no longer equivalent to an ideal voltage source of an infinitely big power grid. The conversion control of new energy sources, parameter perturbations as well as the load itself can easily cause the system voltage to oscillate or to become unstable. To solve this problem, increasing the energy-storage power sources is usually used to improve the reliability of a system. In order to provide support for the voltage, the energy-storage power source inverter needs an method to control the voltage source. Therefore, this paper has proposed the active damping control of a voltage source inverter (VSI) based on virtual compensation. By simplifying the VSI double closed-loop control, two feedback compensation channels have been constructed to reduce the VSI output impedance without changing the characteristics of the voltage gain of a system. This improvement allows systems to operate stably in a larger range. A frequency-domain analysis, and simulation and experimental results demonstrate the feasibility and effectiveness of the proposed method.

On the modeling methods of small-scale piezoelectric wind energy harvesting

  • Zhao, Liya;Yang, Yaowen
    • Smart Structures and Systems
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    • 제19권1호
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    • pp.67-90
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    • 2017
  • The interdisciplinary research area of small scale energy harvesting has attracted tremendous interests in the past decades, with a goal of ultimately realizing self-powered electronic systems. Among the various available ambient energy sources which can be converted into electricity, wind energy is a most promising and ubiquitous source in both outdoor and indoor environments. Significant research outcomes have been produced on small scale wind energy harvesting in the literature, mostly based on piezoelectric conversion. Especially, modeling methods of wind energy harvesting techniques plays a greatly important role in accurate performance evaluations as well as efficient parameter optimizations. The purpose of this paper is to present a guideline on the modeling methods of small-scale wind energy harvesters. The mechanisms and characteristics of different types of aeroelastic instabilities are presented first, including the vortex-induced vibration, galloping, flutter, wake galloping and turbulence-induced vibration. Next, the modeling methods are reviewed in detail, which are classified into three categories: the mathematical modeling method, the equivalent circuit modeling method, and the computational fluid dynamics (CFD) method. This paper aims to provide useful guidance to researchers from various disciplines when they want to develop and model a multi-way coupled wind piezoelectric energy harvester.

대기 모형에서의 벌크형 미세구름물리 모수화 방안 (Bulk-Type Cloud Microphysics Parameterization in Atmospheric Models)

  • 임교선
    • 대기
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    • 제29권2호
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    • pp.227-239
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    • 2019
  • This paper reviews various bulk-type cloud microphysics parameterizations (BCMPs). BCMP, predicting the moments of size distribution of hydrometeors, parameterizes the grid-resolved cloud and precipitation processes in atmospheric models. The generalized gamma distribution is mainly applied to represent the hydrometeors size distribution in BCMPs. BCMP can be divided in three different methods such as single-moment, double-moment, and triple-moment approaches depending on the number of prognostic variables. Single-moment approach only predicts the hydrometeors mixing ratio. Double-moment approach predicts not only the hydrometeors mixing ratio but also the hydrometeors number concentration. Triple-moment approach predicts the dispersion parameter of hydrometeors size distribution through the prognostic reflectivity, together with the number concentrations and mixing ratios of hydrometeors. Triple-moment approach is the most time expensive method because it has the most number of prognostic variables. However, this approach can allow more flexibility in representing hydrometeors size distribution relative to single-moment and double-moment approaches. At the early stage of the development of BMCPs, warm rain processes were only included. Ice-phase categories such as cloud ice, snow, graupel, and hail were included in BCMPs with prescribed properties for densities and sedimentation velocities of ice-phase hydrometeors since 1980s. Recently, to avoid fixed properties for ice-phase hydrometeors and ad-hoc category conversion, the new approach was proposed in which rimed ice and deposition ice mixing ratios are predicted with total ice number concentration and volume.

Deep Learning in MR Image Processing

  • Lee, Doohee;Lee, Jingu;Ko, Jingyu;Yoon, Jaeyeon;Ryu, Kanghyun;Nam, Yoonho
    • Investigative Magnetic Resonance Imaging
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    • 제23권2호
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    • pp.81-99
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    • 2019
  • Recently, deep learning methods have shown great potential in various tasks that involve handling large amounts of digital data. In the field of MR imaging research, deep learning methods are also rapidly being applied in a wide range of areas to complement or replace traditional model-based methods. Deep learning methods have shown remarkable improvements in several MR image processing areas such as image reconstruction, image quality improvement, parameter mapping, image contrast conversion, and image segmentation. With the current rapid development of deep learning technologies, the importance of the role of deep learning in MR imaging research appears to be growing. In this article, we introduce the basic concepts of deep learning and review recent studies on various MR image processing applications.

2,2-Bis[4-(2-methoxy-3-methacryloyloxy propoxy) phenyl] propane을 함유한 상아질 접착레진의 물성이 접착강도에 미치는 영향 (The effect of the strength and wetting characteristics of Bis-GMA/TEGDMA-based adhesives on the bond strength to dentin)

  • 박은숙;김창근;배지현;조병훈
    • Restorative Dentistry and Endodontics
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    • 제36권2호
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    • pp.139-148
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    • 2011
  • 연구목적: 치과용 접착제에서 기저단량체로 사용되는 Bis-GMA를 Bis-M-GMA로 대체한 접착레진이, Bis-GMA/TEGDMA 를 사용한 접착제와 비교할 만한 물성과 접착강도를 가지는지 알아보고자 하였다. 연구 재료 및 방법: 다양한 구성비의 Bis-GMA, Bis-M-GMA 및 TEGDMA 를 함유한 접착레진을 제작하여, 점도(${\eta}$), 중합률(DC) 및 굴곡강도(FS)를 측정하고, 상아질에 대한 미세인장접착강도(MTBS)를 측정하였다. 해석을 위해 각 단량체들의 용해도 상수(${\delta}_t$)를 비교하였고, 접착계면을 주사전자현미경으로 관찰하였다. 결과: Bis-M-GMA의 점도는 3.65 Pa s로 크게 감소하였다. Bis-GMA를 함유하지 않는 접착레진은 Bis-GMA를 함유한 접착레진에 비해 낮은 굴곡강도를 보였다(p < 0.05). TEGDMA 함량이 낮은 접착레진은 TEGDMA 함량이 높은 접착레진에 비해 낮은 미세인장접착강도를 보였으며(p < 0.05), 주사전자현미경 사진에서 균열이나 틈이 관찰되었다. 결론: 높은 접착강도를 얻기 위해서는 접착레진의 높은 굴곡강도와 초기 중합률 뿐 아니라, 접착레진과 primer 처리 된 상아질 사이의 용해도 상수의 적합성도 요구되었다.