Performance Analysis of Signal Characteristics of MODFET

Vol. 2 No.2

Year: 2013

Issue: May-Jul

Title : Performance Analysis of Signal Characteristics of MODFET

Author Name : Ganesan.V, K.S. Shaji

Synopsis :

This work addresses the scalability of power performance of AlGaAs/GaAs MODFET (modulated-Doping Field Effect Transistor) with large gate periphery, as necessary for microwave power devices. High-frequency large signal characteristics of AlGaAs/GaAs MODFET have been studied for devices with gate widths from 0.2 to 1 mm. 1-dB gain compression occurred at input power levels varying from -1 to +10dBm as the gate width increased, while gain remained almost constant at ~17dB. Output power density was maximum (1.3W/mm) for devices with 0.6mm gates and maximum output power (29.9dBm) occurred in devices with 1mm gates, while power-added-efficiency remained almost constant at ~30%.We also present a model for the I-V characteristics of MODFET's. In this paper, an analytic velocity-field model is used. To more accurately describe the physical characteristics of MODFET's the model of this paper is divided into two regions (the linear region and the saturation region), being continuous at the pinchoff voltage, and includes the diffusion component in addition to the drift component of current. Using this model, the simulated I-V characteristics are in excellent agreement with the experimental data.

Low Cost 160×130 Uncooled Infrared Sensor Array

Vol. 2 No.2

Year: 2013

Issue: May-Jul

Title : Low Cost 160×130 Uncooled Infrared Sensor Array

Author Name : M. Vilasini, V. Yuva Priya

Synopsis :

This paper gives Readout Integrated Circuit (ROIC) design required for infrared detector in Forward Looking Infrared (FLIR)camera. This design is based on monolithically fabricated 160 x 130 array of uncooled infrared detector. This design provides uniform output over a wide range of temperature and the output is specified in terms of quantum efficiency, specific detectivity and Noise Equivalent differential Temperature (NEdT). This design is fabricated for a high volume low cost production application.

VLSI Based Low Power Hardware Design Using Distributed Arithmetic (DA) Centered 2d Adam7 Transform For The Proposed Image Compression Algorithm

Vol. 2 No.2

Year: 2013

Issue: May-Jul

Title : VLSI Based Low Power Hardware Design Using Distributed Arithmetic (DA) Centered 2d Adam7 Transform For The Proposed Image Compression Algorithm

Author Name : L. Vigneash, C. N. Marimuthu , J. Joseph Lynn

Synopsis :

The need for an efficient technique for compression of images is ever increasing because, the raw images need large amounts of disk space where seem to be a big disadvantage during transmission and storage. Even though, there are so many compression techniques already present, a better technique which is faster, memory efficient and simple, surely suits the requirements of the user. We have planned to design the hardware design flow of Distributed Arithmetic (DA) based 2-D Adam7 algorithm for the proposed image compression algorithm. Accordingly to, an effective 2-D Adam7 algorithm will be performed on input image using well-known Distributed Arithmetic (DA) technique, which exploits the LUT-based FPGA structure to build multiplier-less filter bank, the main component in a Adam7 structure. After computing the Adam7 algorithm, the suitable Adam7 co-efficient is selected and then, applied DPCM (Differential Pulse-Code Modulation) that is a transformation for increasing the compressibility of an image. Finally, the transformed image is given to Huffman-encoder that is designed by merging the lowest probable symbols in such a way that, the images will get compressed. For implementation, the DA-based Adam7 Algorithm is modeled in Simulink and tested. The Verilog source code is developed for the algorithm. All the modules are simulated in Xilinx tool and the final design is verified with Verilog test benches. The final design is implemented in Xilinx Atlys Spartan 6 FPGA Kit.

A Comparaison Between Specific And Generic Fuzzy Expert System For Athlete ECG Analysis

Vol. 2 No.2

Year: 2013

Issue: May-Jul

Title : A Comparaison Between Specific And Generic Fuzzy Expert System For Athlete ECG Analysis

Author Name : Najar Yosra, Raouf Ketata, Mekki Ksouri

Synopsis :

Nowadays, heart disease prediction is a challenge to modern technologies. An Electrocardiogram (ECG) is a preferred tool that could help in making decision about heart conditions. However, uncertainties, that affect sensors measurements in ECG, raise the challenge. This paper describes automatic analysis of Electrocardiographic recordings (ECGs), through the analysis of variables using fuzzy inference systems. Concerned ECGs are specifically those of competitive football players. Hence, variables characterizing ECG are determined from Pre Competition Medical Assessment (PCMA) form imposed by FIFA. Two decision making fuzzy systems are developed. In the first hand, specific Fuzzy Expert System (FES) for ECG analysis is presented to decide about the state of concerned player. In another hand, generic fuzzy expert system, already used in industrial diagnosis and in video surveillance, is presented for the same purpose. Finally, a comparison between two systems is detailed to highlight the efficiency of using generic fuzzy expert system.

License Plate Localization Using Novel Recursive Algorithm And Pixel Count Method

Vol. 2 No.2

Year: 2013

Issue: May-Jul

Title : License Plate Localization Using Novel Recursive Algorithm And Pixel Count Method

Author Name : Siddharth Choubey, G.R. Sinha

Synopsis :

The detection of license plate location is the most important part of a vehicle license plate recognition process. This paper compares the performance of various methods for detecting license plate. We have introduced a novel recursive algorithm for labeling and finding the regions and detected the plate location on the basis of the pixel count method after calculating the area of the regions and removing those region that are not likely to be license plate. Experiment results give better performance and achieved up to 100 percent localization accuracy.