2172 research outputs found
Sort by
Characterization of mixed titanium-niobium oxide Ti2Nb10O29 annealed in vacuum as anode material for lithium-ion battery
Get PDFIn this paper, the properties of mixed titanium-niobium oxide Ti2Nb10O29 (TNO) annealed in air and vacuum as anode material for lithium-ion battery were investigated.
The color of TNO annealed in vacuum (V-TNO) is dark blue while white for TNO annealed in air (A-TNO). Moreover, lattice parameters for V-TNO were confirmed to be slightly larger than those for A-TNO. Introduction of oxygen defect in V-TNO was confirmed by thermogravimetric analysis. X-ray photoelectron spectroscopy
analysis also indicated that Ti4+ in V-TNO are partially reduced into Ti3+, due to the introduction of oxygen defect in V-TNO. Electronic conductivity at room temperature for uni-axially pressed V-TNO powder is estimated to be around 10-610-5 S cm-1, which is more than three digits higher than that for pressed A-TNO powder (= 10-9 S cm-1). The enhancement of intrinsic electronic conductivity of TNO greatly contributes for improving the rate performance. At low current density of 0.5 mA cm-2, both A-TNO and V-TNO showed reversible capacity around 250 mAh g-1 at potential range from 1.0 to 2.5 V vs. Li/Li+, while at higher current density of 10 mA cm-2, V-TNO maintained much higher discharge capacity of 150 mAh g-1 than that for TNO (= 50 mAh g-1).journal articl
Trend Query Classification using Label Propagation
Get PDFQuery classification is an important technique for web search engines, allowing them to improve users' search experience. Specifically, query classification methods classify queries according to topical categories, such as celebrities and sports. Such category information is effective in improving web search results, online advertisements, and so on. Unlike previous studies, our research focuses on trend queries that have suddenly become popular and are extensively searched. Our aim is to classify such trend queries in a timely manner, i.e., classify the queries on the same day when they become popular, in order to provide a better search experience. To reduce the expensive manual annotation costs to train supervised learning methods, we focus on a label propagation method that belongs to the semi-supervised learning family. Specifically, the proposed method is based on our previous method that constructs a graph using a corpus, and propagates a small number of ground-truth categories of labeled queries in order to estimate the categories of unlabeled queries. We extend this method to cut ineffective edges to improve both classification accuracy and computational efficiency. Furthermore, we investigate in detail the effects of different corpora, i.e., web/blog/news search results, Tweets, and news pages, on the trend query classification task. Our experiments replicate the situation of an emerging trend query; the results show that web search results are the most effective for trend query classification, achieving a 50.1% F-score, which significantly outperforms the state-of-the-art method by 7.2 points. These results provide useful insights into selecting an appropriate dataset for query classification from the various types of data available.journal articl
Study on III-V dilute semiconductor alloy on Si substrate for light emitting devices with strain compensated structure
Get PDF豊橋技術科学大学博士(工学)doctoral thesi
Wikipedia Page View Analysis for Search Trend Prediction
Get PDFウェブ検索エンジンに入力されるクエリの検索頻度は人々の興味関心を反映しており，流行の分析などに有用なデータである。しかし，その検索頻度データを検索エンジン事業者以外が利用することは困難である。そこで本論文では，検索結果の上位に表示される傾向のあるWikipediaのページビューデータを用いれば検索頻度を推定できると仮定し，その推定可能性を検証する。
The frequency of a web search query generally reflects the degree of people's interest in the subject matter. Search logs are therefore a useful resource for trend analysis. However, accessing search logs is typically restricted to search engine providers. In this paper, we investigate whether search frequency can be estimated from another resource, namely, Wikipedia page view of open data. As a result, frequently searched queries revealed remarkably high correlations against Wikipedia page view. This fact suggests that Wikipedia page view is effective for understanding popular web search trends happening around the world.journal articl
Study on Vibration Control and Safety Transfer in Multiple Joints Robot Arm
Get PDF豊橋技術科学大学博士(工学)doctoral thesi
Development of Novel Analytical Techniques for Evaluating In-room Air Environment
Get PDF豊橋技術科学大学博士(工学)doctoral thesi
遠隔地設計教育によるデザイン演習の実施手法および実施環境についての研究－豊橋技術科学大学・高専連携遠隔地設計教育等の実験的演習を通して－
Get PDF豊橋技術科学大学博士(工学)doctoral thesi
