• 제목/요약/키워드: Z-network

검색결과 274건 처리시간 0.03초

Development of Multi-Cell Active Switched- Capacitor and Switched-Inductor Z-Source Inverter Topologies

  • Ho, Anh-Vu;Chun, Tae-Won;Kim, Heung-Geun
    • Journal of Power Electronics
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    • 제14권5호
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    • pp.834-841
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    • 2014
  • This paper proposes new active switched-capacitor and switched-inductor Z-source inverter (ASC/SL-ZSI) topologies, which can provide a higher boost ability with a small shoot-through time. The proposed ASC/SL-ZSIs inherit all of the advantages of the classical ZSI, and have a stronger voltage boost inversion ability when compared with the classical ZSI. Thus, the output ac voltage quality is significantly improved. In addition, more cells can be cascaded in the impedance network in order to obtain a very high boost ability. The proposed topologies can be applied to photovoltaic or fuel-cell generation systems with low-voltage renewal sources due to their wide range of obtainable voltages. Both simulations and the experimental results are carried out in order to verify performance of the proposed topologies.

Multi-type sensor placement design for damage detection

  • Li, Y.Q.;Zhou, M.S.;Xiang, Z.H.;Cen, Z.Z.
    • Interaction and multiscale mechanics
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    • 제1권3호
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    • pp.357-368
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    • 2008
  • The result of damage detection from on-site measurements is commonly polluted by unavoidable measurement noises. It is widely recognized that this side influence could be reduced to some extent if the sensor placement was properly designed. Although many methods have been proposed to find the optimal number and location of mono-type sensors, the optimal layout of multi-type sensors need further investigation, because a network of heterogeneous sensors is commonly used in engineering. In this paper, a new criterion of the optimal placement for different types of sensors is proposed. A corresponding heuristic is developed to search for good results. In addition, Monte Carlo simulation is suggested to design a robust damage detection system which contains certain redundancies. The validity of these methods is illustrated by two bridge examples.

입력전류와 커패시터 전압의 맥동저감을 위한 개선된 LCCT Z-소스 DC-AC 인버터 (Improved LCCT Z-Source DC-AC Inverter for Ripple Reduction of Input Current and Capacitor Voltage)

  • 신연수;정영국;임영철
    • 전기학회논문지
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    • 제61권10호
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    • pp.1432-1441
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    • 2012
  • In this study, an improved LCCT(Inductor-Capacitor-Capacitor-Trans) Z-source inverter(Improved LCCT ZSI) with characteristics of Quasi Z-source inverter(QZSI) and LCCT Z-source inverter(LCCT ZSI) is proposed. The proposed inverter can also reduce the voltage stress and input current/capacitor voltage ripples compared with conventional LCCT ZSI and Quasi ZSI. A two winding trans in Z-impedance network of the conventional LCCT ZSI is replaced by a three winding trans in the proposed inverter. To verify the validity of the proposed inverter, a DSP controlled hardware was made and PSIM simulation was executed for each method. Comparing the current and voltage ripples of each method under the condition of input DC voltage 70[V] and output AC voltage 76[Vrms], the input current and capacitor voltage ripple factors of the proposed inverter were low as 11[%] and 1.4[%] respectively. And, for generation of the same output AC voltage of each method, voltage stress of the proposed inverter was low as 175[V] under the condition of duty ratio D=0.15. As mentioned above, we could know that the proposed inverter have the characteristics of low voltage stress, low ripple factor and low operation duty ratio compared with the conventional methods. Finally, the efficiency according to load change/duty ratio and the transient state characteristics were discussed.

The Impact of SNS Advertisements on Online Purchase Intention of Generation Z: An Empirical Study of TikTok in Vietnam

  • NGO, Thi Thuy An;LE, Thi My Thanh;NGUYEN, Thanh Hieu;LE, Truong Giang;NGO, Gia Thinh;NGUYEN, Tran Duong
    • The Journal of Asian Finance, Economics and Business
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    • 제9권5호
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    • pp.497-506
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    • 2022
  • The study was carried out to investigate the factors affecting the online purchase intention of Vietnamese consumers, focusing on Generation Z (Gen Z), through the information provided on TikTok - a social media network. Besides, the study evaluates the influence of these factors on the intention to purchase online of Gen Z. Most important; the research aims to help businesses better understand the insight of their consumers. The data were collected from 250 people who were born in the 1995 to 2010 period, living in the South of Vietnam. The study was conducted from December 2021 to March 2022 and used two analytical methods, which are exploratory factor analysis and Structural Equation Modeling. Research results show that there are 4 factors of TikTok advertisements that affect the purchase intention of Gen Z consumers, including information, entertainment, trust, and social interaction, and they all have a positive impact on the online purchase intention. In which the information factor has the most significant impact on the online purchase intention of Gen Z consumers. Based on the research results, recommendations are made to help businesses that have sold or intend to sell products via TikTok, improve the effectiveness of advertisement through the TikTok channel.

자기저항 센서를 이용한 지능형 자율주행 전기자동차의 신경회로망 조향 제어기 개발 (Development of the Neural Network Steering Controller based on Magneto-Resistive Sensor of Intelligent Autonomous Electric Vehicle)

  • 김태곤;손석준;유영재;김의선;임영철;이주상
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2000년도 제15차 학술회의논문집
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    • pp.196-196
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    • 2000
  • This paper describes a lateral guidance system of an autonomous vehicle, using a neural network model of magneto-resistive sensor and magnetic fields. The model equation was compared with experimental sensing data. We found that the experimental result has a negligible difference from the modeling equation result. We verified that the modeling equation can be used in simulations. As the neural network controller acquires magnetic field values(B$\_$x/, B$\_$y/, B$\_$z/) from the three-axis, the controller outputs a steering angle. The controller uses the back-propagation algorithms of neural network. The learning pattern acquisition was obtained using computer simulation, which is more exact than human driving. The simulation program was developed in order to verify the acquisition of the teaming pattern, teaming itself, and the adequacy of the design controller. The performance of the controller can be verified through simulation. The real autonomous electric vehicle using neural network controller verified good results.

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A New Directional Coupler Type Partial Discharge Sensor Installed on the Power Lead of Rotating Machine

  • Yi, Sang-Hwa;Hwang, Don-Ha;Park, Wee Sang
    • Journal of Electrical Engineering and Technology
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    • 제11권6호
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    • pp.1769-1776
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    • 2016
  • For on-line partial discharge (PD) monitoring of rotating machines, a novel sensor is proposed, which can be installed on the power lead inside the terminal box of the machine. The sensor has been designed to have high capacitance, and minimal reflection of measured pulses. As a sensitivity of the sensor, transfer impedance $Z_t$ has been measured and compared to conventional coupler-type sensors. A simple method is presented for measuring $Z_t$ of coupler sensors, using a vector network analyzer and a practical lead-cable of rotating machine. Through this method, it became possible to measure the $Z_t$ of coupler sensors including the installation environment of them. The $Z_t$ of the proposed sensor is higher than that of same sized other conventional couplers at frequencies between 30 and 92 MHz. Another sensitivity test has been performed using a PD calibrator as a test pulse source. The proposed sensor has higher measured peak voltage than the conventional coupler type sensors when the same charges were input.

Using generalized regression neural network (GRNN) for mechanical strength prediction of lightweight mortar

  • Razavi, S.V.;Jumaat, M.Z.;Ahmed H., E.S.;Mohammadi, P.
    • Computers and Concrete
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    • 제10권4호
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    • pp.379-390
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    • 2012
  • In this paper, the mechanical strength of different lightweight mortars made with 0, 5, 10, 15, 20, 25, 30, 35, 40, 45, 50, 55, 60, 65, 70, 75, 80, 85, 90, 95 and 100 percentage of scoria instead of sand and 0.55 water-cement ratio and 350 $kg/m^3$ cement content is investigated. The experimental result showed 7.9%, 16.7% and 49% decrease in compressive strength, tensile strength and mortar density, respectively, by using 100% scoria instead of sand in the mortar. The normalized compressive and tensile strength data are applied for artificial neural network (ANN) generation using generalized regression neural network (GRNN). Totally, 90 experimental data were selected randomly and applied to find the best network with minimum mean square error (MSE) and maximum correlation of determination. The created GRNN with 2 input layers, 2 output layers and a network spread of 0.1 had minimum MSE close to 0 and maximum correlation of determination close to 1.

Monitoring Activity for Recognition of Illness in Experimentally Infected Weaned Piglets Using Received Signal Strength Indication ZigBee-based Wireless Acceleration Sensor

  • Ahmed, Sonia Tabasum;Mun, Hong-Seok;Islam, Md. Manirul;Yoe, Hyun;Yang, Chul-Ju
    • Asian-Australasian Journal of Animal Sciences
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    • 제29권1호
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    • pp.149-156
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    • 2016
  • In this experiment, we proposed and implemented a disease forecasting system using a received signal strength indication ZigBee-based wireless network with a 3-axis acceleration sensor to detect illness at an early stage by monitoring movement of experimentally infected weaned piglets. Twenty seven piglets were divided into control, Salmonella enteritidis (SE) infection, and Escherichia coli (EC) infection group, and their movements were monitored for five days using wireless sensor nodes on their backs. Data generated showed the 3-axis movement of piglets (X-axis: left and right direction, Y-axis: anteroposterior direction, and Z-axis: up and down direction) at five different time periods. Piglets in both infected groups had lower weight gain and feed intake, as well as higher feed conversion ratios than the control group (p<0.05). Infection with SE and EC resulted in reduced body temperature of the piglets at day 2, 4, and 5 (p<0.05). The early morning X-axis movement did not differ between groups; however, the Y-axis movement was higher in the EC group (day 1 and 2), and the Z-axis movement was higher in the EC (day 1) and SE group (day 4) during different experimental periods (p<0.05). The morning X and Y-axis movement did not differ between treatment groups. However, the Z-axis movement was higher in both infected groups at day 1 and lower at day 4 compared to the control (p<0.05). The midday X-axis movement was significantly lower in both infected groups (day 4 and 5) compared to the control (p<0.05), whereas the Y-axis movement did not differ. The Z-axis movement was highest in the SE group at day 1 and 2 and lower at day 4 and 5 (p<0.05). Evening X-axis movement was highest in the control group throughout the experimental period. During day 1 and 2, the Z-axis movement was higher in both of the infected groups; whereas it was lower in the SE group during day 3 and 4 (p<0.05). During day 1 and 2, the night X-axis movement was lower and the Z-axis movement was higher in the infected piglets (p<0.05). Overall, the movement of infected piglets was altered, and the acceleration sensor could be successfully employed for monitoring pig activity.

무선 네트워크 기술 Li-Fi의 문제점 (Technical problems of Li-Fi wireless network)

  • 박현욱;김현호;이훈재
    • 한국정보통신학회:학술대회논문집
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    • 한국정보통신학회 2014년도 추계학술대회
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    • pp.186-188
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    • 2014
  • 최근 국내에서 사용하는 무선 네트워크 중 Wi-Fi와 LTE등을 가장 많이 사용하고 있는 상황이다. 또한 모바일을 많이 사용하는 우리 사회에서 주로 이용하는 서비스는 웹서핑, SNS, 어플리케이션(APP) 및 파일 다운로드 등이 있다. 이와 같이 생활을 하면서 데이터양이 많이 요구되는 시점에서 모바일 사용자들은 빠르면서 안전한 것을 원하고 있다. 그리고 현재 사용되고 있는 무선 네트워크로는 통신사망(3G, 4G(LTE), LTE-A)과 Wi-Fi(802.11n-2.4GHz, 802.11ac-5GHz)가 있으며, 사용자가 주로 사용하는 통신사망에서는 4G(LTE), Wi-Fi에서는 802.11n-2.4GHz를 가장 많이 사용하고 있다. 위와 같이 무선 네트워크를 안전하고 빠르게 사용하기 위해서 개발된 기술 중에 Li-Fi가 있다. Li-Fi는 빛(가시광선)으로 통신하는 기술이며, Wi-Fi(802.11n-2.4GHz)의 100배, LTE-A의 66배 빠른 기술이다. 그러나 현재 Li-Fi를 상용화 하기에는 큰 문제점이 존재한다. 본 논문에서는 Li-Fi의 상용화 문제점을 기존에 많이 사용되고 있는 Wi-Fi와 비교 분석하고자 한다.

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모비우스 플랫폼을 이용한 IoT 센서 네트워크 구현 (Implementation of IoT Sensors Network Using Mobius Platform)

  • 장우영;이용철;강정진
    • 한국인터넷방송통신학회논문지
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    • 제17권2호
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    • pp.211-218
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    • 2017
  • 본 연구는 모비우스 플랫폼을 이용하여 IoT 센서 네트워크를 구현하였고 성능을 검증하기 위해 스마트 홈 서비스에 적용 가능한 4종의 Z-Wave 센서를 구현하였다. 모비우스가 제공하는 12가지의 CSF(Common Service Function)은 센서들의 상태 감시를 비롯한 어플리케이션 서비스를 빠른 시간에 구현할 수 있도록 하였다. 표준적인 서비스절차와 프로토콜은 시스템의 설계 과정을 생략할 수 있도록 하였고, 어플리케이션 소프트웨어 개발자, Gateway 개발자 및 센서 개발자들 간의 규약확정을 위한 회의시간, 그리고 의견 조정을 위한 논의 시간을 단축할 수 있도록 하였다. 구현된 센서네트워크를 기반으로 하는 어플리케이션 서비스와 IoT 센서의 구현은 개발일정을 단축시킬 수 있음을 확인하였고, 무엇보다도 시장에서 구매한 상용품을 변경개발 없이 수용이 가능함을 확인하였다. 이러한 신속성과 개방성은 다양한 서비스의 요구에 부응할 수 있도록 하여, 서비스 확대 및 신규 시장 창출에 기여할 수 있을 것으로 기대한다.