
Innovative battlefield learning experience for soldiers
The Singapore Armed Forces (SAF) has introduced an innovative training and learning system for its soldiers called Battlefield Instrumentation (BFI). Utilising modern laser and informationcommunication technologies, BFI System brings together soldiers, weapon systems and fighting platforms. It uses the GPS, computer simulation and data communication to record details of battlefield engagements between opposing forces. www.channelnewsasia.com
Delhi itself gives the glimpse of the status of cities of India.
The stress of increasing population, lack of …

Mumbai acquired its port importance only with the advent of the Portuguese in 1508. Francis Almeida sailed into this harbour and called it as Bom Bahia or the Good Bay. The British corrupted the Portuguese name “Bom Baia” to “Bombay”. The Kolis used to call the islands “Mumba” after Mumbadevi.
It was the British who developed it into a centre of commerce to rival any other centres in the country then. The British embarked upon large-scale reclamations and engineering works to consolidate the seven islands. In 1803 Bombay was connected with Salsette by a causeway at Sion. A causeway now called Colaba Causeway joined the island of Colaba to Bombay in 1838 and the Causeway connecting Mahim and Bandra was completed in 1845. This gave access to the rich hinterland of the Deccan providing further impetus for the growth of then Bombay.

Positional accuracy enhancement of an INS/DGPS integrated system using cascade denoising algorithm KAI-WEI CHIANG, YUN-WEN HUANG, CHRIS GOODWALL AND NASER EL-SHEIMY
The end of ’Last Orders‘ in spatio-temporal representation? M MORAD, A ADAMU,
S KHADDAJ
Cartography as a tool in study of dredging SACHIN S PENDSE

Despite the rapid advances in software and hardware technologies, the development of temporal databases capable of dealing with the evolution of geographical entities remains a challenging task. The aim of this paper is to discuss a proposed model that is able to handle spatial entities over time as a continuum.

According to Skaloud [1999], the inertial sensor errors are composed of long term errors (low frequency components) and short term errors (high frequency components). Therefore, a conceptual plot of the frequency spectrum of the inertial sensor errors in the measurements can be illustrated as in Figure (1).














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