http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
- 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
- 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
RISS 인기검색어
- 검색키워드
- 주제어 : TSML (검색결과 2 건)
- 무료
- 기관 내 무료
- 유료
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Maximum likelihood localization: When does it fail?
Stefania Monicaa,Gianluigi Ferrari 한국통신학회 2016 ICT Express Vol.2 No.1
Maximum likelihood is a criterion often used to derive localization algorithms. In particular, in this paper we focus on a distance-based algorithm for the localization of nodes in static wireless networks. Assuming that Ultra Wide Band (UWB) signals are used for inter-node communications, we investigate the ill-conditioning of the Two-Stage Maximum-Likelihood (TSML) Time of Arrival (ToA) localization algorithm as the Anchor Nodes (ANs) positions change. We analytically derive novel lower and upper bounds for the localization error and we evaluate them in some localization scenarios as functions of the ANs’ positions. We show that particular ANs’ configurations intrinsically lead to ill-conditioning of the localization problem, making the TSML-ToA inapplicable. For comparison purposes, we also show, through some examples, that a Particle Swarm Optimization (PSO)-based algorithm guarantees accurate positioning also when the localization problem embedded in the TSML-ToA algorithm is ill-conditioned.
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From Tombstones to Corpora: TSML for Research on Language, Culture, Identity and Gender Differences
( Oliver Streiter ),( Leonhard Voltmer ),( Yoann Goudin ) 한국언어정보학회 2007 학술대회 논문집 Vol.2007 No.-
Tombstone inscriptions represent a linguistic genre which yields insights in culture and language. Creating corpora from tombstones is thus a complementary approach for the study of languages and cultures. For the annotation of tombstone corpora, we propose TSML, the Tombstone-Markup-Language, developed during the massive annotation of Taiwanese tombstones and a number of tombstones from China, Indonesia and Europe. We discuss our conceptual framework in the annotation of tombstones and derive successively and present preliminary research data to show how the usefulness of the annotations. Finally, we will encourage researchers to participate in the specification of TSML to obtain soon an annotation language for annotations across cultures and languages.
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