5259 research outputs found
Sort by
A New Evaluation Circuit for DC-link Capacitors Used in a Three-Phase Inverter
Get PDF2015 IEE-Japan Industry Applications Society, September 2-4, 2015, Oita University, Oita, JapanDC-link capacitors in power electronic converters are a major constraint on improvement of power density as well as reliability. Evaluation of the dc-link capacitors in terms of power loss, ageing, and failure rate will play an important role in design stages of the next-generation power converters. This paper proposes a new evaluation circuit for dc-link capacitors used in a high-power three-phase inverter, which employs a full-scale current-rating and downscale voltage-rating three-phase inverter, a low-voltage dc supply, and a high-voltage dc supply. The proposed evaluation circuit is equivalent to a full-scale current-rating and full-scale voltage-rating inverter from the standpoint of ripple current and dc bias voltage, whereas overall power rating of the proposed circuit is much smaller than that of the full-scale current-rating and full-scale voltage-rating inverter
Research for Pseudo Millimeter Wave Circuit Design with 0.18μm CMOS Technology Node
No full text九州工業大学博士学位論文 学位記番号:工博甲第405号 学位授与年月日:平成27年9月25日第一章：イントロダクション || 第二章：技術的課題 || 第三章：モデリング(ディエンベディング)手法 || 第四章：受動素子の設計とそのモデリング結果 || 第五章：K u - バンドの衛星放送受信機用低雑音ブロックに関する研究 || 第六章：K a - バンド周波数変調連続波変調用レーダに適したVCO の研究 || 第七章：結
Probabilistic Prediction of Chaotic Time Series Using Similarity of Attractors and LOOCV Predictable Horizons for Obtaining Plausible Predictions
Get PDF22nd International Conference, ICONIP 2015, November 9-12, 2015, Istanbul, TurkeyThis paper presents a method for probabilistic prediction of chaotic time series. So far, we have developed several model selection methods for chaotic time series prediction, but the methods cannot estimate the predictable horizon of predicted time series. Instead of using model selection methods employing the estimation of mean square prediction error (MSE), we present a method to obtain a probabilistic prediction which provides a prediction of time series and the estimation of predictable horizon. The method obtains a set of plausible predictions by means of using the similarity of attractors of training time series and the time series predicted by a number of learning machines with different parameter values, and then obtains a smaller set of more plausible predictions with longer predictable horizons estimated by LOOCV (leave-one-out cross-validation) method. The effectiveness and the properties of the present method are shown by means of analyzing the result of numerical experiments
実大PC橋梁の耐震性能と損傷メカニズムに関する研究
No full text九州工業大学博士学位論文 学位記番号:工博甲第387号 学位授与年月日:平成27年3月25日Chapter 1 Introduction||Chapter 2 Literature Review||Chapter 3 Failure Mechanisms of Xiaoyudong Bridge||Chapter 4 Evaluation on Influence of M-N Interaction on Seismic Behavior of RC Arch Bridge||Chapter 5 Evaluation on Seismic Behavior of RC Columns based on E-Defense Excitation Tests||Chapter 6 Conclusion
A Study on a Dental Training Evaluation System for Scaling and Root Planing Using Computer Vision
Get PDF九州工業大学博士学位論文 学位記番号:工博甲第380号 学位授与年月日:平成27年3月25日第１章 緒言||第２章 ＳＲＰ臨床シミュレーション実習||第３章 既存の技術||第４章 特許||第５章 スケーラーストローク表示システム||第６章 評価実験||第７章 結
Studies on Real-Time Oriented Sound Source DOA Estimation Based on Sparseness
No full text九州工業大学博士学位論文 学位記番号:情工博甲第295号 学位授与年月日:平成27年3月25日第1章 序論||第2章 DOA 推定の概要||第3章 音声のDOA 推定に関する予備的検討||第4章 フレーム単位のDOA 推定||第5章 シミュレーションおよび考察||第6章 結