Modeling charge transport in Swept Charge Devices for X-ray spectroscopy

We present the formulation of an analytical model which simulates charge transport in Swept Charge Devices (SCDs) to understand the nature of the spectral redistribution function (SRF). We attempt to construct the energy-dependent and position dependent SRF by modeling the photon interaction, charge cloud generation and various loss mechanisms viz., recombination, partial charge collection and split events. The model will help in optimizing event selection, maximize event recovery and improve spectral modeling for Chandrayaan-2 (slated for launch in 2014). A proto-type physical model is developed and the algorithm along with its results are discussed in this paper.Comment: 9 pages, 7 figures, Proc. SPIE 8453, High Energy, Optical, and Infrared Detectors for Astronomy

Reconfiguration with Simultaneous DG Installation to Improve the Voltage Profile in Distribution Network Using Harmony Search Algorithm

Due to dynamic nature of loads, total system load is more than its generation capacity that makes relieving of load on the feeders not possible and hence voltage profile of the system will not be improved to the required level. In order to meet required level of load demand, Reconfiguration & DG units are integrated in distribution network to improve voltage profile, to provide reliable and uninterrupted power supply and also to achieve economic benefits such as minimum power loss, energy efficiency and load leveling. This work proposes minimization of real power losses and improvement of voltage profile using network reconfiguration in the presence of distributed generation. Generally distributed generations (DG) are preferred with objective of minimizing real power loss and improving voltage profile in distribution system. In this work A meta heuristic Harmony Search Algorithm (HSA) is used to simultaneously reconfigure and identify the optimal locations for installation of DG units in a distribution network. Sensitivity analysis is used to identify optimal locations for installation of DG units. The proposed method has tested in MATLAB for 33-bus and 69- Bus radial distribution systems at three different load levels and the analysis is presented for loss minimization

IMPLEMENTATION OF PIPELINED DES USING VERILOG

An implementation of the Data Encryption Standard (DES) algorithm is described. Protection of data during transmission or while in storage may be necessary to maintain the confidentiality and integrity of the information represented by the data. The algorithms uniquely define the mathematical steps required to transform data into a cryptographic cipher and also to transform the cipher back to the original form. The proposed pipeline method is for improving the speed of execution when compare with the non-pipeline method

Characterization of Indian and exotic quality protein maize (QPM) and normal maize (Zea mays L.) inbreds using simple sequence repeat (SSR) markers

Polymorphism analysis and genetic diversity of normal maize and quality protein maize (QPM) inbreds among locally well adapted germplasm is a prerequisite for hybrid maize breeding program. The diversity analyses of 48 maize accessions including Indian and exotic germplasm using 75 simple sequence repeat (SSR) markers yielded 258 scorable alleles, out of which 251 alleles were polymorphic with an average of 3.35 alleles per locus. The polymorphism information content (PIC) values of all the polymorphic primers across the maize genotypes varied from 0.11 to 0.91, with an average value of 0.56. Di-nucleated repeats showed more number of average alleles (4.2) with more mean PIC value (0.61) than tri-, tetra-, penta- and hexa- nucleotide repeats. Gene diversity (He) was in the range of 0.11 (umc1766) to 0.81 (mmc0371 and bnlg1600) with an average value of 0.59, while heterozygosity (Ho) was observed with an average of 0.19, ranging from 0.02 (umc1495) to 0.98 (umc1906). Inbreeding coefficient (F) varied from 0.06 (umc2075) to 1.00 (15 SSR loci). Thus, the present study resulted to the identification of highly polymorphic SSR loci mmc0371, umc2364, umc1568, bnlg1600, phi026, umc2071 and bnlg1904 by considering the parameters of PIC value (≥0.74), gene diversity (≥0.75), inbreeding coefficient (≥0.62) and polymorphic alleles (≥4). These 7 polymorphic primers can be effectively used in a molecular breeding programs and quantitative trait loci (QTL) mapping studies since they exhibited very high polymorphism over other loci. Genotype pairs VQL 2 and CML 173 was observed to serve as ideal parents for mapping modifiers since they differ significantly for tryptophan content and also showed lowest similarity of 27% between them. Among all the genotypes, V 370 and B 06-7 (22%), V 25 and CM 152 (22%) and V 341 and CM 145 (24%) genotype pairs can be used in maize hybrid breeding programs for producing high yielding hybrids.Key words: Quality protein maize (QPM), gene diversity, heterozygosity, inbreeding coefficient, SSR markers, allele frequency

Reconfiguration with Simultaneous DG installation to Improve the Voltage Profile in Distribution Network using Harmony Search Algorithm

Due to dynamic nature of loads, total system load is more than its generation capacity that makes relieving of load on the feeders not possible and hence voltage profile of the system will not be improved to the required level. In order to meet required level of load demand, Reconfiguration & DG units are integrated in distribution network to improve voltage profile, to provide reliable and uninterrupted power supply and also to achieve economic benefits such as minimum power loss, energy efficiency and load leveling. This work proposes minimization of real power losses and improvement of voltage profile using network reconfiguration in the presence of distributed generation. Generally distributed generations (DG) are preferred with objective of minimizing real power loss and improving voltage profile in distribution system. In this work A meta heuristic Harmony Search Algorithm (HSA) is used to simultaneously reconfigure and identify the optimal locations for installation of DG units in a distribution network. Sensitivity analysis is used to identify optimal locations for installation of DG units. The proposed method has tested in MATLAB for 33-bus and 69- Bus radial distribution systems at three different load levels and the analysis is presented for loss minimization

An Intelligent Analysis of Crime through Newspaper Articles - Clustering and Classification

Crime analysis is one of the most important activities of the majority of the intelligent and law enforcement organizations all over the world. Thus, it seems necessary to study reasons, factors and relations between occurrence of different crimes and finding the most appropriate ways to control and avoid more crimes. A major challenge faced by most of the law enforcement and intelligence organizations is efficiently and accurately analyzing the growing volumes of crime related data. The vast geographical diversity and the complexity of crime patterns have made the analyzing and recording of crime data more difficult. This paper presents an intelligent crime analysis system which is designed to overcome the above mentioned problems. Data mining is used extensively in terms of analysis, investigation and discovery of patterns for occurrence of different crimes. The proposed system is a web-based system which performs crime analysis through news articles. In this paper we use a clustering/ classification based model to automatically group the retrieved documents into a list of meaningful categories. The data mining techniques are used to analyze the web data