Technology Development for Space-Based Electro-Optical Deep-Space Surveillance

Author(s):  
Nikolay Petrov ◽  
◽  
Tamara Antonova ◽  
◽  

With the rapid development of space technology, the scale of human space exploration is expanding significantly. However, the growing demand for deep space travel cannot be met with conventional chemical engines. Thus, the need for new mechanisms for providing jet thrust, including electric motors, becomes clear. Electric propulsion technology has significant advantages over traditional chemical engines in deep space flight due to its characteristics such as high specific impulse, small size, long service life. A negative feature of electric motors can be called low thrust, however, firstly, in open space this is insignificant and, secondly, the thrust of electric motors can be significantly increased, and for this, there are reserves available at the current level of technology development. Ways to increase the thrust of electric ion thrusters will be detailed and discussed in this work. The increase in the power of ion engines is limited to a large extent by the erosion of the control grids; the ion flow hits the surface of the solid material of the control grid electrode with energetic ions and gradually leads to the failure of this electrode. In this work, the authors will show that the use of field emission as a source of electron beams ionizing the working medium can solve the problem of erosion of control electrodes, due to which it will be possible to significantly increase the strength of the working fields for ion engines, which in turn will increase the specific impulse, efficiency, flow rate and power of the ion engine as a whole.


1991 ◽  
Vol 25 (1) ◽  
pp. 51-60 ◽  
Author(s):  
J.H. Yuen ◽  
G.M. Resch ◽  
C.T. Stelzried

Author(s):  
S. I. Vatutin ◽  

The method of synchronous addition of signals of separate antennas was proposed previously for the aggregation of relatively small-scale aperture antennas into a single digital antenna array (digital antenna field) with a combined area for receiving telemetry signals from spacecraft. In this case, the antennas are mutually spaced by a big enough distance in order to not shade one another. The method is based on the idea of compensating the mutual delays between the antennas of the received signal by a corresponding shift of the sampling pulses of the signals of different antennas. This article demonstrates the method’s workability in idealized mode of spacecraft tracking by target designations on orbits of global navigation systems. It is shown that with the up-to-date level of impulse technology development the method of synchronous addition of antenna signals with a shift of sampling pulses is potentially capable of ensuring the reception of telemetry information from deep-space spacecraft at rates approximately 6 times higher than those of the classic Delta-DOR method.


Author(s):  
Simon Thomas

Trends in the technology development of very large scale integrated circuits (VLSI) have been in the direction of higher density of components with smaller dimensions. The scaling down of device dimensions has been not only laterally but also in depth. Such efforts in miniaturization bring with them new developments in materials and processing. Successful implementation of these efforts is, to a large extent, dependent on the proper understanding of the material properties, process technologies and reliability issues, through adequate analytical studies. The analytical instrumentation technology has, fortunately, kept pace with the basic requirements of devices with lateral dimensions in the micron/ submicron range and depths of the order of nonometers. Often, newer analytical techniques have emerged or the more conventional techniques have been adapted to meet the more stringent requirements. As such, a variety of analytical techniques are available today to aid an analyst in the efforts of VLSI process evaluation. Generally such analytical efforts are divided into the characterization of materials, evaluation of processing steps and the analysis of failures.


2012 ◽  
pp. 117-131 ◽  
Author(s):  
O. Golichenko

The problems of multifold increase of technological potential of developing countries are considered in the article. To solve them, i.e. to organize effectively tapping into global knowledge and their absorption, the performance of two diffusion channels is considered: open knowledge transfer and commercial knowledge transfer. The models of technological catching-up are investigated. Two of them are found to give an opportunity of effective use of international competition and global technology knowledge as a driver of technology development.


Author(s):  
M. Jeyanthi ◽  
C. Velayutham

In Science and Technology Development BCI plays a vital role in the field of Research. Classification is a data mining technique used to predict group membership for data instances. Analyses of BCI data are challenging because feature extraction and classification of these data are more difficult as compared with those applied to raw data. In this paper, We extracted features using statistical Haralick features from the raw EEG data . Then the features are Normalized, Binning is used to improve the accuracy of the predictive models by reducing noise and eliminate some irrelevant attributes and then the classification is performed using different classification techniques such as Naïve Bayes, k-nearest neighbor classifier, SVM classifier using BCI dataset. Finally we propose the SVM classification algorithm for the BCI data set.


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