5259 research outputs found
Sort by
Study on PD Properties of Palm Fatty Acids Esters Oil
Get PDFInternational Symposium on EcoTopia Science(ISETS '15), November 27-29, 2015, Nagoya University, Nagoya, JapanFollowing the successful application of natural ester of triglyceride type as insulation liquid in transformer, natural ester of mono ester type with the benefit in higher fluidity [1], which was introduced for the same purpose.
Since PD detection is an important method of early warning of deterioration of insulation, PD properties of the PFAE need to be investigated. Particular attention was paid on the effect of moisture content up to 188 ppm
人の動作の検出に関する研究 - 異常動作の特定に向けて -
Get PDF九州工業大学博士学位論文 学位記番号:工博甲第383号 学位授与年月日:平成27年3月25日1 Introduction||2 Fast Motion Detection based on a Velocity and a Shift Histogram||3 Fast Motion Detection based on a Shift Histogram||4 Head Motion Detection based on a Histogram of Transition||5 Final Experimental Results and Evaluation||6 ConclusionNowadays, there is an increasing demand for security system by continuously using CCTV systems. Most current surveillance systems need a human operator to constantly monitor them. Their effectiveness and response is largely determined not by the technological capabilities but by the vigilance of the person monitoring the display. To overcome these limitations of traditional surveillance methods, a major effort is under way in the computer vision and artificial intelligence community to develop automated systems. An Automatic Vision Surveillance (AVS) has become an important topic for the academic community, which aims to develop autonomous surveillance schemas to replace the traditional schemes.
The human motion detection can be performed in two approaches: The first one is a flow or motion based approach. The second approach is head motion based approach.
These approaches are usually used to detect an abnormal motion.
The existing methods of the first approach have some inadequacies: Some of them rely on feature points extraction and tracking. Owing to the lack of feature points, it increases the false negative value; Some of them perform the observing of flow directions only; Some of them fail to detect an abnormal motion when the motion flow is not perpendicular with camera direction; Some of them rely on the training process;
Some of them need a camera observation from very high position. Some of them should be applied in extremely crowded scenes.
The existing methods of the second approach have some inadequacies: Some of them rely on foreground extraction and very sensitive with a pattern which similar to a head. Some of them need a complex computation and big vector dimension.
In order to make up for the inadequacies of the existing human motion detection based on the first approach, we propose the improvement of the motion flow method. In this research, our information on motion flow is provided by the analysis of motion history image (MHI). Our method gives more accurate as well as important information for fast motion detection in a condition where the motion is not perpendicular with a camera view.
Another improvement is based on the second approach. In this thesis, we introduce a histogram of transition as a novel feature. Since this feature calculates the transition between the background and the foreground, the computation is very simple and takes a short time compared with the computation of LBP and HOG feature.
The originalities of this thesis are as follows :
In the first place, we introduce a shift histogram based on MHI representation. To the best of our knowledge, this is a new method to get shift information. Most of the existing methods use optical flow generated by Lucas-Kanade tracker or spatio-temporal gradient.
In the second place, we apply an accumulative function of the shift histogram to detect fast motion as an anomaly motion in a crowd. This approach does not necessitate motion learning. Most of the existing methods need a learning stage to learn normal and anomaly motion in a video clip.
In the third place, we introduce a function distance and a refined frame differencing as foreground extraction. Foregrounds which extracted from a static image and frame differencing images give an accurate detection of a head. They can distinguish a head and a pattern similar with a head.
In the fourth place, we introduce a histogram of transition feature as a feature to be fed into a classifier. The computation of this feature is simple and needs smaller computation time. It is suitable for real time application. The dimension of the employed feature vector is small
火星探査航空機主翼翼型の多目的最適設計探査とクラスタ分析を用いたデータマイニング
Get PDF九州工業大学博士学位論文 学位記番号:工博甲第379号 学位授与年月日:平成27年3月25日第1章 序言||第2章 設計探索法||第3章 低レイノルズ数翼型の設計探索||第4章 低レイノルズ数翼型のデータマニング||第5章 階層的クラスタリングを組み合わせた最適翼型探索の提案||第6章 結
Dynamic Lift Produced by a Moving Object and Vortex Ring Rolled up from the Object
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303号 学位授与年月日:平成27年3月25日1章 背景と目的||2章 数値解析および実験条件||3章 運動物体が生み出す非定常揚力と巻き上がる渦輪の動的挙動||4 章 蝶が生み出す非定常揚力と翅から巻き上がる渦輪の動的挙動||5 章 結
Analyzing Daily-life Activities and Power Consumptions Using Tablet Sensors and Activity Annotation Web System
Get PDFマルチメディア，分散，協調とモバイル(DICOMO2015)シンポジウム, 平成27年7月8日(水)-7月10日(金), 岩手県 ホテル安比グランド本研究では，家庭の電力消費量を抑えるため，家庭内の行動と消費電力の相関の具体的な解析を述べる．近年，様々な消費電力に関する研究が行われている．我々の研究では家庭の消費電力削減の目的とし，システム開発，被験者による実験，生活パターンと消費電力の相関分析，電力削減への提案の研究を行う．
現在，我々は住人の生活パターンと消費電力の相関分析に取り組んでいる．開発したシステムを用いて，1日に数分程度行動の入力を依頼した．約4 ヶ月間分，35 軒の家庭から約11745 件の行動入力と約7.14GBのセンサデータと約237280 時間分の消費電量データが得られた．収集したデータを用いて，推定された行動の時刻と持続時間を説明変数とし，一日の平均消費電力を目的変数とした重回帰分析を行った結果，一般的な家庭で「テレビを長く見る」，「テレビ時刻が早い」，「食事時刻が早い」及び「睡眠時刻が早い」などの日は消費電力が大きいことが分かった．消費電力が一番高い家庭の「食事時間を長く食べる」，「睡眠時刻が遅い」及び「食事時刻が早い」などの日は消費電力が大きいことが分かった．このように，住人行動のラベルデータを使用することで，電力と行動の具体的な解析が可能になることを示す
Numerical Analysis of Stress Intensity Factors of a Crack in the Composite Patch Repair
Get PDFKona, Big Island, Hawaii, USA, June 21-26, 2015The composite patch repair technology can be utilized to provide upgrades, such as higher design requirements and life extensions. However, in this case, failures easily happen on the edge interface between the substrate material and the restorative material, because of the incompatible of different properties. Failures such as flaws or cracks lying along the interface reduce the strength of the structure significantly. In this paper, the numerical solutions of hypersingular integro-differential equations are discussed in the analysis of three dimensional interfacial cracks subjected to general internal pressure,
and the problem is formulated on the basis of the body force method.
The stress intensity factors are given with varying material combinations. It is found that the stress intensity factors and are determined by the bi-materials constant alone, independent of elastic modulus ratio and Poisson's ratio
