• 제목/요약/키워드: MULTILAYER

검색결과 2,082건 처리시간 0.028초

은전도층이 추가된 AZO 박막 제작 (Preparation of AZO thin film adding to Ag layer)

  • 김상모;이지훈;임유승;손인환;금민종;김경환
    • 한국전기전자재료학회:학술대회논문집
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    • 한국전기전자재료학회 2007년도 하계학술대회 논문집 Vol.8
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    • pp.385-386
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    • 2007
  • We prepared the Al doped ZnO coating Ag multilayer thin films on glass without substrate heating using FTS system. The structure of multilayer thin films has Al doped ZnO/Ag/Al doped ZnO(AZO/Ag/AZO). The thickness of top and bottom AZO thin films were fixed to 50 nm, respectively and controlled the thickness of Ag thin films with deposition time. As-doped multilayer thin films were prepared at 1mTorr and input power (DC) of 100W at room temperature. To investigate the film properties, we employed four-point probe, UVNIS spectrometer, X-ray diffractometer (XRD), scanning electron microscopy (SEM), Hall Effect measurement system and Atomic Force Microscope (AFM).

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CdTe/HgTe/CdTe구조 나노입자의 광전류 특성 (Photo current Characteristic of CdTe/HgTe/CdTe Structured Nanoparticles)

  • 김동원;조경아;김현석;박병준;김상식
    • 한국전기전자재료학회:학술대회논문집
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    • 한국전기전자재료학회 2005년도 하계학술대회 논문집 Vol.6
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    • pp.139-140
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    • 2005
  • The photocurrent characteristics of CdTe/HgTe/CdTe structured nanoparticles are studied. CdTe/HgTe/CdTe multilayer structured nanoparticles were synthesized by colloidal method. CdTe/HgTe/CdTe multilayer structured nanoparticles were characterized by x-ray diffraction, high-resolution transmission electron microscopy(HRTEM), absorbance and photoluminescence(PL). PL spectrum of CdTe/HgTe/CdTe multilayer structured nanoparticles exhibits a strong exciton bond in the near infrared range. The I-V curves and photoresponses revealed that CdTe/HgTe/CdTe multilayer structured nanoparticles are very prospective materials for the photodetectors.

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공진형 인버터를 사용한 적층액츄에이터형 초음파 노즐 구동시스템의 전기적 특성 (Electrical Properties of Multilayer Actuator Structured-ultrasonic Nozzle Driving System using a Resonant Inverter)

  • 황락훈;김화수;김국진;류주현
    • 한국전기전자재료학회논문지
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    • 제20권11호
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    • pp.953-958
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    • 2007
  • In this paper, multilayer actuator structured-ultrasonic nozzle and resonant inverter driving circuit were manufactured, respectively. Its electrical properties were investigated. Multilayer actuator structured ultrasonic nozzle was fabricated using PMN-PNN-PZT ceramics showing excellent piezoelectric characteristics. In order to drive ultrasonic nozzle, resonant PWM inverter was used. The purpose of this study is to find the optimal driving condition of ultrasonic nozzle. Accordingly, electrical and temperature characteristic of multilayer ultrasonic driving system were investigated by experiments as a function of the series resonance inductance. The driving current of ultrasonic nozzle showed the maximum current of 27 mA. Also, the surface temperature of ceramic vibrator showed $44^{\circ}C$ at driving time for 20 min. The ultrasonic nozzle was stably operated in the case of driving for more than 20 min.

Post Deposition Annealing Effect on the Structural, Electrical and Optical Properties of ZnO/Ag/ZnO Thin Films

  • Kim, Daeil
    • 열처리공학회지
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    • 제25권2호
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    • pp.85-89
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    • 2012
  • Transparent conductive ZnO/Ag/ZnO (ZAZ) multilayer films were deposited by Radio frequency (RF) magnetron sputtering and direct current (DC) magnetron sputtering. The effects of post deposition vacuum annealing temperature on the structural, electrical and optical properties of the ZAZ multilayer films were investigated. The thickness of ZAZ films is kept constant at ZnO 50 nm/Ag 5nm/ZnO 45 nm, while the vacuum annealing temperatures were varied from 200 and $400^{\circ}C$, respectively. As-deposited ZAZ films exhibit a sheet resistance of $6.1{\Omega}/{\Box}$ and optical transmittance of 72.7%. By increasing annealing temperature to $200^{\circ}C$, the resistivity decreased to as low as $5.3{\Omega}/{\Box}$ and optical transmittance also increased to as high as 82.1%. Post-deposition annealing of ZAZ multilayer films lead to considerably lower electrical resistivity and higher optical transparency, simultaneously by increased crystallization of the films.

Metaheuristic Optimization Techniques for an Electromagnetic Multilayer Radome Design

  • Nguyen, Trung Kien;Lee, In-Gon;Kwon, Obum;Kim, Yoon-Jae;Hong, Ic-Pyo
    • Journal of electromagnetic engineering and science
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    • 제19권1호
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    • pp.31-36
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    • 2019
  • In this study, an effective method for designing an electromagnetic multilayer radome is introduced. This method is achieved by using ant colony optimization for a continuous domain in the transmission coefficient maximization with stability for a wide angle of incidence in both perpendicular and parallel polarizations in specific X- and Ku-bands. To obtain the optimized parameter for a C-sandwich radome, particle swarm optimization algorithm is operated to give a clear comparison on the effectiveness of ant colony optimization for a continuous domain. The qualification of an optimized multilayer radome is also compared with an effective solid radome type in transmitted power stability and presented in this research.

A Novel Feature Selection Approach to Classify Breast Cancer Drug using Optimized Grey Wolf Algorithm

  • Shobana, G.;Priya, N.
    • International Journal of Computer Science & Network Security
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    • 제22권9호
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    • pp.258-270
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    • 2022
  • Cancer has become a common disease for the past two decades throughout the globe and there is significant increase of cancer among women. Breast cancer and ovarian cancers are more prevalent among women. Majority of the patients approach the physicians only during their final stage of the disease. Early diagnosis of cancer remains a great challenge for the researchers. Although several drugs are being synthesized very often, their multi-benefits are less investigated. With millions of drugs synthesized and their data are accessible through open repositories. Drug repurposing can be done using machine learning techniques. We propose a feature selection technique in this paper, which is novel that generates multiple populations for the grey wolf algorithm and classifies breast cancer drugs efficiently. Leukemia drug dataset is also investigated and Multilayer perceptron achieved 96% prediction accuracy. Three supervised machine learning algorithms namely Random Forest classifier, Multilayer Perceptron and Support Vector Machine models were applied and Multilayer perceptron had higher accuracy rate of 97.7% for breast cancer drug classification.

Preparation and properties of Bi-based lead-free ceramic multilayer actuators

  • Nguyen, Van-Quyet;Han, Hyoung-Su;Lee, Han-Bok;Yoon, Jong Il;Ahn, Kyoung Kwan;Lee, Jae-Shin
    • Journal of Ceramic Processing Research
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    • 제13권spc2호
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    • pp.282-285
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    • 2012
  • Lead-free (Bi0.5Na0.41K0.09)TiO3 (BNKT) multilayer ceramic actuators were prepared using tape-casting and screen-printing techniques. Co-firing behavior of BNKT/AgPd laminates was examined as a function of sintering temperature. It was found that co-firing induced bending and electrical properties were very sensitive to sintering condition. By optimizing sintering conditions, lead-free electrostrictive multilayer actuators with normalized strain Smax/Emax of 266 pm/V have been successfully fabricated, which is promising for lead-free actuator applications.

Channel modeling based on multilayer artificial neural network in metro tunnel environments

  • Jingyuan Qian;Asad Saleem;Guoxin Zheng
    • ETRI Journal
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    • 제45권4호
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    • pp.557-569
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    • 2023
  • Traditional deterministic channel modeling is accurate in prediction, but due to its complexity, improving computational efficiency remains a challenge. In an alternative approach, we investigated a multilayer artificial neural network (ANN) to predict large-scale and small-scale channel characteristics in metro tunnels. Simulated high-precision training datasets were obtained by combining measurement campaign with a ray tracing (RT) method in a metro tunnel. Performance on the training data was used to determine the number of hidden layers and neurons of the multilayer ANN. The proposed multilayer ANN performed efficiently (10 s for training; 0.19 ms for prediction), and accurately, with better approximation of the RT data than the single-layer ANN. The root mean square errors (RMSE) of path loss (2.82 dB), root mean square delay spread (0.61 ns), azimuth angle spread (3.06°), and elevation angle spread (1.22°) were impressive. These results demonstrate the superior computing efficiency and model complexity of ANNs.