This paper describes a signal processing and control system for atmospheric sounding radars, with improved characteristics with respect to formerly used architectures. We refer especially to wind profiling as an important and interesting application. The system allows up to 4 receiver signals to be processed at the same time, with 60 range gates and 300 m height resolution. The use of two DSPs working in parallel allows the use of a single PC for real time data processing and system control. Some experimental results are reported.
Predicting the success of a startup in information technology (SIT) is a very complex problem due to the diverse factors and uncertainty that affects it. The focus of automatic learning (ML) is promising because it presents good results for prediction issues; however, it presents a diversity of parameters, factors, and data that require consideration to improve prediction results. In this study, a systematic method is proposed to build a predictive model for SIT success, based on factors. The method consists of four processes, a hybrid model, and an inventory of 79 success factors. The method was applied to a database of 265 SITs from Australia with seven ML algorithms and three hybrid models based on the Voting strategy and the GreedyStepwise algorithm to reduce the factors. On average, precision increments in 11.69%, specificity in 3.25%, and accuracy in 21.75%; the prediction has precision of 82% and accuracy of 88%.
Strapdown inertial airborne gravimetry as a practical and feasible tool for local and regional geoid determination is under research at the Institute of Geomatics (IG). Within the framework of the Spanish-Bolivian cooperation project TERRA, between the Institute Geografico Militar of Bolivia (IGM) and the IG, a feasibility analysis on geoid determination in Bolivia by means of INS/GNSS integration is being carried out. TERRA includes, among other goals, the specification of the geoid model that best fits the needs of Bolivia from a global point of view. Simulations in the spatial and spectral domain for GNSS and INS data will allow for an assessment of the performance of the technology. In addition, an empirical covariance model of the gravity anomalies has been derived from CHAMP-data, so that realistic simulations will be carried out. The contribution of other new satellite gravity missions, such as -GOCE-, will be evaluated as well. Actual gravity data will be obtained from a test flight over various topographic conditions to analyze the system response to a highly variable gravity signal. The data will be also processed to empirically verify the simulation results. The aim of this paper is to introduce the project and present some preliminary results.
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