Voltage stability issues have attracted the interest of power system researchers worldwide. It is important to maintain the system stability, or else it would lead to voltage collapse and consequently complete blackout of the system. In this paper the voltage stability indices, Fast Voltage Stability Index (FVSI) and Voltage Reactive Power Index (VQI Line ) are used to determine the stability of a system. These indices are used to identify the most critical line and bus of the system. Under single line outage condition, effect of placing a TCSC in the system on FVSI & VQI Line has been observed. An IEEE 6 bus system has been considered for simulation purpose.

Forages usually constitute the major portion of the ruminant feeds in our country. Availability of feed containing imbalanced chemical composition and metabolisable energy is major handicap in ruminant production the world over. The present study aimed to evaluate the fibre fractions of Ailanthus excels Roxb. fast growing multipurpose indigenous tree species used as cattle fodder as the leaves are rated as highly palatable and nourishing with high percentage of crude protein. The fiber fractions i.e. Neutral Detergent Fibre (NDF), Acid Detergent Fiber (ADF), Acid Detergent Lignin (ADL) values were measured for Ailanthus excels Roxb. leaves and observed that AD Fvaried from 0.91% to 74 %and the average was recorded as 48.93 ± 8.36 %, NDF ranged from 28.49 % to 94.77 % with an average of 5.6± 0.97 % and recorded the minimum of 0.2% to the maximum of 17.5 % of ADL value. Low or high NDF value indicate the dry matter digestibility and dry matter intake that will result in a decrease or increase in livestock consumption. Hemicellulose and cellulose, the slowly digestible fibre materials present in the cell wall ranged from 1.72 to 82.5 % and 0.45 to 96.72 % respectively. The digestibility of the A.excelsa leaves was tested for 24 hrs and 48 hrs were observed that almost all accessions showed digestibility greater than 50%.Metabolizable energy (ME) and Total Digestible Nutrients (TDN) are the other two energy requirement of cattle other than IVDMD and ME observed to be more than 8.23(MJ/Kg DM) for all the accessions and TDN value more than 40 %. Though fodder is nutrient treasure, the IVDMD decides the nutrient intake by the cattle. With the desirable fibre fraction and promising IVDMD and metabolizable energy values of A. excel accessions can be an alternate tree fodder for cattle during lean period.

Cognitive property of the human visual system to detect salient objects in image and video sequences to correlate with neighbouring objects for information retrieval and understanding is developed for computer vision application. Detecting salient objects with accurate boundaries and features is addressed in this work by using the directional selectivity property of complex wavelets. Computation complexity of processing complex wavelet sub band is addressed by companding the features into eight sub bands and optimum number of features are selected using SPIHTL (Set Partition In Hierarchical Trees List) algorithm. Five layered deep learning algorithm is designed with 2D FFNN ( Feed Forward Neural Network) structure and reordering units to detect salient object features. The 3D DTCWT (Dual Tree Complex Wavelet Transform) model combined with 2D SPIHTL encoder and deep learning algorithm is modelled in MATLAB and is trained to identify 120 objects with PSNR (Peak Signal To Noise Ration) of 40dB. The designed model is demonstrated to detect generic objects. Keywords: Video saliency, DTCWT, Directional Features, SPIHTL, Deep Learning, 2D Neural Network

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