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| Paper Type | : | Research Paper |
| Title | : | FPGA Based Embedded System For Plasma Diagnostics |
| Country | : | India |
| Authors | : | Surbhi Sharma || K. M. Khare || D. V. Ghodke || V. K. Senecha |
| : | 10.9790/4200-0804010106 ![]() |
ABSTRACT: Speed, reliability and flexibility are the essential requirements for achieving high performance in various applications of Physical and Engineering Sciences. FPGA's are considered to be the ideal devices for maximizing the efficiency and productivity of the system. This paper discusses the development of FPGA based fast acquisition system to determine the plasma characteristics using Langmuir probe in a plasma chamber. The plasma is created using Radio Frequency (RF) power input, operating at a frequency of 2MHz. The RF power pulse repetition rate (PRR) is 2 Hz with ON time of 0.5 msec. The FPGA based embedded system has been prototyped using Very-High-Speed Integrated Circuits Hardware Description Language (VHDL). The FPGA based design consists of various interface modules........
Keywords: FPGA, VHDL, Embedded System, Graphical User Interface.
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ABSTRACT: There are various kinds of Network attacks often identifiable by the patterns of data they contain. More complex regular expressions that express these patterns need to be matched at a very high speed. Most hardware-based approaches build the equivalent automata using minimal hardware resources to detect pattern variations. This paper explains the design, structure, and suitability of an optimized hardware-based automata implementation called Equivalence Class Direct Table Synthesis Nondeterministic Finite Automata (ECDRTS-NFA). The optimized approach described in this paper builds upon the earlier published version called Equivalence Class Descriptor Nondeterministic Finite Automata (ECD-NFA). The ECDRTS............
Keywords: ECDs, ECD-NFA, FPGA, LUTs, Throughput.
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ABSTRACT: Millimeter wave imaging is the emerging technique for detection of targets and distinguishes different targets from one another. Millimeter frequency band is the combination of both visible region and infrared region. As a result it has a combined feature of both visible region and infrared region. MM wave imaging is quite useful for imaging because of certain frequencies which have low attenuation and can be able to detect target in low visibility area. In this paper, we focus an area to detect presence of short range targets. Target is focused with some grazing angle of narrow beam width. The returned echoes are detected by 2D array of imaging sensors. This raw data of image is further processed to detect presence of multiple targets and distinguish them.
Keywords: Active and passive imaging, focal plane array, interpolation, linearly frequency modulation, Millimeter frequencies, RCS.
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