BACKGROUND Understanding the long-distance movement of bats has direct relevance to studies of population dynamics, ecology, disease emergence, and conservation. METHODOLOGY/PRINCIPAL FINDINGS We developed and trialed several collar and platform terminal transmitter (PTT) combinations on both free-living and captive fruit bats (Family Pteropodidae: Genus Pteropus). We examined transmitter wei...

nowadays the science of remote sensing and satellite data, constitute modern scientific tools,as they provide important information and make research easier in many scientific fields. this research articlepresents an integrated system for continuous monitoring of the vegetation and the human impact on the natura2000 protected areas of strofilia forest and kotychi lagoon (natura 2000 codes: gr 2...

This paper evaluates the proposed implementation of short length low density parity check (LDPC) codes within the telemetry space protocol. Due to the varying orbital patterns of low earth orbit (LEO) satellites, limited communication time windows need to be optimised to maximise data throughput. Most popular connection oriented protocols focus on correcting congestion related link errors, but ...

Abstrac~At the start of the new millennium, a new array capability will be introduced into the NASA Deep Space Network (DSN). This is a second generation system employing the full spectrum combining technique first deployed to support the Galileo mission in 1996. The new array capability offers multi-mission support with real-time combining at higher data rates. In addition, for the first time...

The purpose of this study is to perform an analysis of the process of experimental testing of the thermal control system of the “AIST” small satellite, using the computer simulation of the satellite’s flight in the “TERM” software package. Based on the telemetry data, obtained by the Samara University satellite ground control center, actualized parameters of the ground testing process were prop...

Health monitoring and anomaly detection techniques for artificial satellites are very significant, as it is very hard to repair those space systems on orbit. Authors have proposed the framework of learning-based anomaly detection that applies statistical machine learning and data mining techniques to the satellite telemetry data to automatically obtain normal behavior models which can be used f...