Crowdsourced localization using geo-spatial big data has become an effective approach for constructing smart-city-based location services with the fast growing number of Internet Things terminals. This paper presents a self-calibrated multi-floor indoor positioning framework combination Wi-Fi ranging, crowdsourced fingerprinting and low-cost sensors (SM-WRFS). The parameters, such as heading al...

Regionalization and uniform/homogeneous region building constitutes one of the most longstanding concerns of geographers. In this paper we explore the Geo-Self-Organizing Map (Geo-SOM) as a tool to develop homogeneous regions and perform geographic pattern detection. The Geo-SOM presents several advantages over other available methods. The possibility of “what-if” analysis, coupled with powerfu...

The Gene Expression Omnibus (GEO) is an international public repository that archives and freely distributes microarray, next-generation sequencing, and other forms of highthroughput functional genomic data sets (1). Approximately 90% of the data in GEO are gene expression studies that investigate a broad range of biological themes including disease, development, evolution, immunity, ecology, t...

This paper presents the DIGMAP geo-temporal Web gazetteer service, a system providing access to names of places, historical periods, and associated geo-temporal information. Within the DIGMAP project, this gazetteer serves as the unified repository of geographic and temporal information, assisting in the recognition and disambiguation of geo-temporal expressions over text, as well as in resourc...

This paper analyzes a discrete-time infinite-buffer Geo/Geo/2 queue, in which the number of servers can be adjusted depending on the number of customers in the system one at a time at arrival or at service completion epoch. Analytical closed-form solutions of the infinite-buffer Geo/Geo/2 queueing system operating under the triadic (0, Q N, M) policy are derived. The total expected cost functio...

2. OVERVIEW OF GIR SYSTEM 2.1 Pre-process The GIR system requires a text index and a geographic index. As the text index, those created for existing full-text search can be used. The geographic index is made by using NE recognizer, which locates place name expressions in texts as geo-references and geo-coder, which assigns coordinates to each geo-reference. The geographic index of our method al...