Abstract Due to their limitless possibilities and low cost, RFID systems are powerful object identi cation tools well-suited in everyday applications. When attempting to identify multiple RFID tags from densely populated elds within the shortest timeframe possible, the typical design characteristics of RFID systems lead to a problematic lack of adequate resources to e ciently do so. After a bri...

The MERLIN corpus is a written learner corpus for Czech, German, and Italian that has been designed to illustrate the Common European Framework of Reference for Languages (CEFR) with authentic learner data. The corpus contains 2,290 learner texts produced in standardized language certifications covering CEFR levels A1–C1. The MERLIN annotation scheme includes a wide range of language characteri...

In this paper, RFID as a brand-new pervasive computing technology is to be studied and discussed. In particular, its security threats are the main problems that should be found through literature review. Possible solutions towards these problems are to presented.

あらまし 近年,RFID(Radio Frequency IDentification)システムは,個人認証や物流管理などに利用さ れるなど,普及が進んでいる.読取り対象となる RFIDタグには様々な形状のものが存在し,用途に適したもの が選択される.その一例として,リストバンド型のタグを用いた個人認証が挙げられる.しかしながら,リスト バンド型のように人体に装着して RFID タグを用いる場合には,人体の誘電性によりアンテナ特性が変化する. そこで本論文では,リストバンド型 RFID用アンテナの特性解析を数値解析及び生体等価ファントムを用いた実 験によって行い,人体がアンテナ諸特性に与える影響を評価した.更に,アンテナに反射素子を装荷することに よる利得改善の検討を行った.以上の結果より,人体がアンテナ諸特性に影響を与えることを確認し,また,反 射素子の装荷により放射特性の改善が可...

The task of Native Language Identification (NLI) is typically solved with machine learning methods, and systems make use of a wide variety of features. Some preliminary studies have been conducted to examine the effectiveness of individual features, however, no systematic study of feature interaction has been carried out. We propose a function to measure feature independence and analyze its eff...

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This paper describes the Nara Institute of Science and Technology (NAIST) native language identification (NLI) system in the NLI 2013 Shared Task. We apply feature selection using a measure based on frequency for the closed track and try Capping and Sampling data methods for the open tracks. Our system ranked ninth in the closed track, third in open track 1 and fourth in open track 2.

Jonathan Whitaker • Sunil Mithas • M. S. Krishnan Management Department, Robins School of Business, University of Richmond, 1 Gateway Road, Richmond, Virginia 23173, USA Decision and Information Technologies, R. H. Smith School of Business, 4324 Van Munching Hall, University of Maryland, College Park, Maryland 20742, USA Business Information Technology, Ross School of Business, University of Mi...

We decribe the submissions made by the National Research Council Canada to the Native Language Identification (NLI) shared task. Our submissions rely on a Support Vector Machine classifier, various feature spaces using a variety of lexical, spelling, and syntactic features, and on a simple model combination strategy relying on a majority vote between classifiers. Somewhat surprisingly, a classi...