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Introducing Feature Selection Fusion into Person Verification Based on Finger-writing of a Simple Symbol
No full textHandwriting verification is one form of biometrics. Among its various approaches, finger-writing verification of a simple symbol is the most convenient, in which a user is verified by writing a simple symbol with a finger on a smartphone screen. In a previous study, an error rate of 11.9% was achieved. Furthermore, by selecting and fusing individually high-performing features, an equivalent error rate was obtained, even though the number of used features was reduced. In this study, we propose a new feature selection method focusing on individuality, and a fusion method that combines this with three other selection methods. By using the proposed method, we finally achieved the error rate of 5.8%
ヒト オヨビ マウス ＧＰＡ３３ ニ コウサ ハンノウ スル カンゼン ヒト コウタイ ニヨル チョウソシキ ヘノ シコウカ
No full text鳥取大学Tottori University博士（医科学
ホッサセイ シンボウ サイドウ カンジャ ニオケル ハイジョウミャク カクリ ジュツゴ ノ ザンゾン タンキョク デンイ ノ リンショウテキ オヨビ デンキ セイリガクテキ イギ
No full text鳥取大学Tottori University博士（医学
イショセイ ＵＬＢＰ２ ハ 、 マウス シュヨウ モデル ノ Ｔサイボウ チョウセツ ジョウケンカ デ ＣＤ８＋Ｔサイボウ ニオケル ＮＫＧ２Ｄ ハツゲン ノ ゲンショウ ト カンレン スル
No full text鳥取大学Tottori University博士（医学
スマート ホアン ノ タメノ サーモ カメラ オ モチイタ デンキ セツゾク タンシブ ノ オンド ブンプ スイテイ ニ カンスル ケンキュウ
No full text鳥取大学Tottori University博士（工学
タヘンリョウ カイセキ オ カツヨウ シタ ラマン ブンコウホウ ニヨル コウゾウ ガ ルイジ シタ シュジュ ノ セイタイ ブンシ ノ ラベル フリー イメージング
No full text鳥取大学Tottori University博士（農学
Fast Simulation of the Flow Field in a VAWTWind Farm Using the Numerical Data Obtained by CFD Analysis for a Single Rotor
Full text linkThe effects of an increase in output power owing to the close arrangement of vertical-axis wind turbines (VAWTs) are well known. With the ultimate goal of determining the optimal layout of a wind farm (WF) for VAWTs, this study proposes a new method for quickly calculating the flow field and power output of a virtual WF consisting of two-dimensional (2-D) miniature VAWT rotors. This new method constructs a flow field in a WF by superposing 2-D velocity numerical data around an isolated single VAWT obtained through a computational fluid dynamics (CFD) analysis. In the calculation process, the VAWTs were gradually increased one by one from the upstream side, and a calculation subroutine, in which the virtual upstream wind speed at each VAWT position was recalculated with the effects of other VAWTs, was repeated three times for each arrangement with a temporal number of VAWTs. This method includes the effects of the velocity gradient, secondary flow, and wake shift as models of turbine-to-turbine interaction. To verify the accuracy of the method, the VAWT rotor power outputs predicted by the proposed method for several types of rotor pairs, four-rotor tandem, and parallel arrangements were compared with the results of previous CFD analyses. This method was applied to four virtual WFs consisting of 16 miniature VAWTs. It was found that a layout consisting of two linear arrays of eight closely spaced VAWTs with wide spacing between the arrays yielded a significantly higher output than the other three layouts. The high-performance layout had fewer rotors in the wakes of the other rotors, and the induced flow speeds generated by the closely spaced VAWTs probably mutually enhanced their output power
