Call for Comming Issue

Volume 2, Issue 3 March 2014

S.No. Title Page No.
Author: K. Sanjeeva Rao1, G. Gunasekaran2
Abstract: In the field of antennas the need increase the gain and directivity is dealt in different ways. And often some methods have shown some good results. And specifically the meta-materials also known as artificial magnetic conductors have shown some fruitful results to improve antenna parameters. Know in the current paper the idea is to configure the most of radiation beam or energy in one area to other. This is done by the concept of constructive nature of EBG planes
Compact Electromagnetic Bandgap (EBG) Structure in Antenna Applications
Author: P.Saleem Akram1, Dr.T.Venkata Ramana2
Abstract: In this paper, a novel spiral shape EBG structure is presented. This new EBG structure is a mushroom-like lattice with each element consisting of an inserted spiral branch. A typical period of the EBG lattice is 4.8%λ0 at the desired bandgap frequency. Compared with the conventional mushroom-like EBG structure, simulations results are presented, that the area of the spiral EBG structure is less than 14% of the former. Especially, an even lower bandgap position can be achieved if the winding of spiral branch is farther increased. Also a double element microstrip antenna array inserted with the new EBG structure has been fabricated, showing a 4.93 dB mutual coupling reduction
Improved Perceptibility of Road Scene Images under Homogeneous and Heterogeneous Fog
Author: Shalini Gupta1, Vijay Prakash Singh2 and Ashutosh Gupta3
Abstract: Very interesting thing is image processing when we process the image of real time scenario. In this article, we will present a technique for measuring visibility distances under foggy weather conditions using a camera mounted onboard a moving vehicle. Our research has focused in particular on the problem of detecting daytime fog and estimating visibility distances; thanks to these efforts, an original method has been developed, tested and patented. The approach consists of dynamically implementing Koschmieder's Law. Our method enables computing the meteorological visibility distance, a measured defined by the International Commission on Illumination (CIE) as the distance beyond which a black object of an appropriate dimension is perceived with a contrast of less than 5%. Our proposed solution is an original one, featuring the advantage of utilizing a single camera and necessitating the presence of just the road and sky in the scene. As opposed to other methods that require the explicit extraction of the road, this method offers fewer constraints by virtue of being applicable with no more than the extraction of a homogeneous surface containing a portion of the road and sky within the image. This image preprocessing also serves to identify the level of compatibility of the processed image with the set of Koschmieder's model hypotheses. One source of accidents when driving a vehicle is the presence of homogeneous and heterogeneous fog. One source of difficulties when processing outdoor images is the presence of haze, fog or smokes which fades the colors and reduces the contrast of the observed objects. Fog fades the colors and reduces the contrast of the observed objects with respect to their distances. Various camera-based Advanced Driver Assistance Systems (ADAS) can be improved if efficient algorithms are designed for visibility enhancement of road images. There are so many algorithms for visibility enhancement but not a single algorithm is dedicated to the road images. The visibility enhancement algorithm is not dedicated to road images and thus it leads to limited quality results on images of this kind. In this paper, we interpret the algorithm in visibility enhancement algorithm as the inference of the local atmospheric veil subject to two constraints. From this interpretation, we propose an extended algorithm which better handles road images by taking into account that a large part of the image can be assumed to be a planar road. The advantages of the proposed local algorithm are its speed, the possibility to handle both color images or gray-level images, and its small number of parameters. A comparative study and quantitative evaluation with other state-of-the-art algorithms is proposed on synthetic images with several types of generated fog. This evaluation demonstrates that the new algorithm produces similar quality results with homogeneous fog and that it is able to better deal with the presence of heterogeneous fog.. The main advantage of the proposed algorithm compared with other is its speed: its complexity is a linear function of the number of image pixels only. This speed allows visibility restoration to be applied for the first time within real-time processing applications such as sign, lane-marking and obstacle detection from an in-vehicle camera. Another advantage is the possibility to handle both color images and gray level images since the ambiguity between the presence of fog and the objects with low color saturation is solved by assuming only small objects can have colors with low saturation. The algorithm is controlled only by a few parameters and consists in: atmospheric veil inference, image restoration and smoothing, tone mapping. A comparative study and quantitative evaluation is proposed with a few other state of the art algorithms which demonstrate that similar or better quality results are obtained. Finally, an application is presented to lanemarking extraction in gray level images, illustrating the interest of the approach. We introduce a novel algorithm and variants for visibility restoration from a single image.
Vibration Prevention of Steam Turbine by Mixing the Main Demand with Vibration Signal
Author: Moneer Ali Lilo1*, Latiff, L.A2, Aminudin Bin Haji Abu3, Abidulkarim K. Ilijan4
Abstract: Steam turbine (ST) in power plant is a complex mechanical system. ST is protected from many dangerous situations such as thrust, eccentricity, over frequency and vibration in the bearing. All these situations will cause the turbine to go into the reject area and will cause the turbine to shutdown during the generation stage. This paper will present a new control method by simulation that uses both instantaneous vibration values and generated power of the turbine to reduce the vibration values automatically and hence, protect the turbine. We proposed and designed two electronic circuits using MATLAB-Simulink simulation that will trigger the protection system upon reaching the selected vibration values, which is based on ISO10816-2. Result shows the generated power has successfully decreases as expected after the vibration exceeds the threshold. The system will go into shutdown if the first stage protection system fails to decrease the vibration value which is a basic protection mechanism inherent in all steam turbines.
Parametric study on the model of linear antenna arrays for cosecant squared pattern
Author: Priyanka Behera1, D.S.N. Das2 and A.K. Behera3
Abstract: This work describes the synthesis of cosecant squared pattern (CSP) from a linear array antenna which is placed along positive x-axis with a uniform spacing of 0.6 times the operating wavelength. The amplitudes of the current excitations are taken as the optimizing parameters. The soft-computing techniques are used to optimize the element excitations. The cosecant squared shaped beam pattern is synthesized with a linear array of 30 elements for the angular width of 300 and the reduced side lobe level (SLL) as well as the ripple level using a soft computing tool. The effectiveness of the optimization algorithm, i.e. Artificial Bee Colony (ABC) algorithm has been employed to synthesize non-uniformly excited, non-uniformly spaced, linear arrays.





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