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Implementation of Bio Inspired Genetic Optimizer in enhancing Power System Stability

R. Shivakumar, R. Lakshmipathi, Y. Suresh
2010 International Journal of Engineering and Technology  
This paper provides a systematic approach to design a damping controller to damp the oscillations based on Bio inspired Genetic Algorithm(GA).The design problem is formulated as an Multiobjective Optimization  ...  criterion comprising of Eigen value based and Time domain based objective functions to compute the optimal controller parameters.  ...  Reproduction is a process in which a new generation of population is formed by selecting the fittest individuals in the current population.  ... 
doi:10.7763/ijet.2010.v2.131 fatcat:bhj3vdwtcjaqnj4prgzyjjvazq

RAFT Chemistry and Huisgen 1,3-Dipolar Cycloaddition: A Route to Block Copolymers of Vinyl Acetate and 6-O-Methacryloyl Mannose?

S. R. Simon Ting, Anthony M. Granville, Damien Quémener, Thomas P. Davis, Martina H. Stenzel, Christopher Barner-Kowollik
2007 Australian journal of chemistry (Print)  
The design of a RAFT agent that is suitable for the controlled polymerization of both blocks present a considerable challenge and only recently have theoretical predictions forecast the possibility to  ...  However, the segregation between core and shell in the spheres is not pronounced; such behaviour is expected for weakly amphiphilic block copolymers.  ...  The design of a RAFT agent that is suitable for the controlled polymerization of both blocks present a considerable challenge and only recently have theoretical predictions forecast the possibility to  ... 
doi:10.1071/ch07089 fatcat:cef3o4fbfnczlhq5ucwal44wqi

Design Space Exploration with Evolutionary Multi-Objective Optimisation

M. Holzer, B. Knerr, M. Rupp
2007 2007 International Symposium on Industrial Embedded Systems  
At first the level of abstraction is raised and secondly this allows for exploring the design space to a higher degree than on register transfer level.  ...  Several performance improvements for genetic algorithms are introduced, which target a fast and accurate design space exploration. Finally, the performance of the proposed algorithm is evaluated.  ...  With this method a scalar fitness function is achieved, which allows for simple comparison of two design points.  ... 
doi:10.1109/sies.2007.4297326 dblp:conf/sies/HolzerKR07 fatcat:tyu2rkwjqncpfae6pqpbs7e7ba

Imaging the functioning human brain

X. Weng, Y.-S. Ding, N. D. Volkow
1999 Proceedings of the National Academy of Sciences of the United States of America  
One of the most exciting methodological advances for brain research field arises in functional brain imaging, which enables us to localize and characterize neural activity and biochemical events in the  ...  Recently developed event-related functional MRI makes it possible to visualize the brain activity associated with cognitive processes with the temporal resolution of the hemodynamic response.  ...  It is significant because this procedure allows for selective averaging of individual trials in mixed task paradigms, thus providing a fundamentally new way to explore brain function with paradigms similar  ... 
doi:10.1073/pnas.96.20.11073 pmid:10500129 pmcid:PMC34247 fatcat:yrrqj4glevgujcenkws6pzjizy

A frequency separation macromodel for system-level simulation of RF circuits

Xin Li, Peng Li, Yang Xu, Robert Dimaggio, Lawrence Pileggi
2003 Proceedings of the 2003 conference on Asia South Pacific design automation - ASPDAC  
In this paper we propose a frequency-separation methodology to generate system-level macromodels for analog and RF circuits.  ...  The proposed macromodels are demonstrated in a system-level simulation tool based on Simulink for efficient evaluation of the entire RF system and associated components.  ...  These design issues have highlighted the need for advanced RF macromodeling techniques for primarily two reasons.  ... 
doi:10.1145/1119772.1119968 dblp:conf/aspdac/LiLXDP03 fatcat:hznnrlig6nh3loa553olpvrxwq

Second issue of volume 13

Nasser Kehtarnavaz, Matthias F. Carlsohn
2017 Journal of Real-Time Image Processing  
The fourth paper by Sahlbach et al. entitled ''A systemlevel FPGA design methodology for video applications with weakly-programmable hardware components,'' covers a system-level FPGA development concept  ...  The fifth paper by Hsia et al. entitled ''A new method of moving object detection using adaptive filter,'' presents a new method that uses a least-mean-square scheme to train the mask operation for low-resolution  ... 
doi:10.1007/s11554-017-0695-2 fatcat:bqcv5ygoknfr3jzvhpigoyyvya

Blinding HT: Hiding Hardware Trojan signals traced across multiple sequential levels

Ying Zhang, Minghui Ge, Xin Chen, Jiaqi Yao, Zhiming Mao
2021 IET Circuits, Devices & Systems  
In this article, a method called Blinding HT is proposed, which camouflages itself as a normal circuit and is difficult to be triggered.  ...  But these methods can still be defeated by designing novel HTs.  ...  [6] designed a new verification technique for HT detection, namely VeriTrust.  ... 
doi:10.1049/cds2.12088 fatcat:mdomkoghibfppa2elzk7omshsa

Page 2657 of Mathematical Reviews Vol. , Issue 83f [page]

1983 Mathematical Reviews  
This indicates that weakly continuous channels may be the most general stationary channels for which one would need a coding theorem.” Papantoni-Kazakos, P.  ...  We also propose nonpredictive block stochastic quantization for weakly correlated or uncorrelated signals.  ... 

Weakly Supervised Object Localization and Detection: A Survey [article]

Dingwen Zhang, Junwei Han, Gong Cheng, Ming-Hsuan Yang
2021 arXiv   pre-print
As an emerging and challenging problem in the computer vision community, weakly supervised object localization and detection plays an important role for developing new generation computer vision systems  ...  As methods have been proposed, a comprehensive survey of these topics is of great importance.  ...  The blue area in the top block indicates the conventional fullysupervised learning tasks, while the red area in the top block indicates the weakly supervised learning tasks.  ... 
arXiv:2104.07918v1 fatcat:dwl6sjfzibdilnvjnrbifp4uke

Page 4992 of Mathematical Reviews Vol. , Issue 96h [page]

1996 Mathematical Reviews  
To use the preconditioner effectively, we develop a new technique for computing a fast convolution using the discrete sine transform (also requiring only real arithmetic).  ...  Summary: “We present a new preconditioner for n x n symmet- ric, positive definite Toeplitz systems.  ... 

Hardware Cost Analysis for Weakly Programmable Processor Arrays

Dmitrij Kissler, Frank Hannig, Alexey Kupriyanov, Jurgen Teich
2006 2006 International Symposium on System-on-Chip  
In this paper technology-independent hardware cost analysis for a new class of highly parameterizable coarse-grained reconfigurable architectures called weakly programmable processor arrays is performed  ...  Coarse-grained reconfigurable architectures support a high degree of parallelism at multiple levels.  ...  This indicates that the comparison of different designs in a design space exploration is accurate enough to take the right calculations for searching cost-optimal architectures. VI.  ... 
doi:10.1109/issoc.2006.321996 dblp:conf/issoc/KisslerHKT06 fatcat:ira6n7n3qfac7ib5j7vd7gszgm

Parameterized Macromodeling for Analog System-Level Design Exploration

Jian Wang, Xin Li, Lawrence T. Pileggi
2007 Proceedings - Design Automation Conference  
In this paper we propose a novel parameterized macromodeling technique for analog circuits.  ...  Unlike traditional macromodels that are only extracted for a small variation space, our proposed approach captures a significantly larger analog design space to facilitate system-level design exploration  ...  CONCLUSIONS In this paper we proposed a novel technique to systematically build parameterized macromodels for analog circuit blocks.  ... 
doi:10.1109/dac.2007.375299 fatcat:dnhxee5dvrd53jkar3g3chgx24

Parameterized macromodeling for analog system-level design exploration

Jian Wang, Xin Li, Lawrence T. Pileggi
2007 Proceedings - Design Automation Conference  
In this paper we propose a novel parameterized macromodeling technique for analog circuits.  ...  Unlike traditional macromodels that are only extracted for a small variation space, our proposed approach captures a significantly larger analog design space to facilitate system-level design exploration  ...  CONCLUSIONS In this paper we proposed a novel technique to systematically build parameterized macromodels for analog circuit blocks.  ... 
doi:10.1145/1278480.1278711 dblp:conf/dac/WangLP07 fatcat:lb4xxasyefhqzh2szpg3rpwy4u

HA-CCN: Hierarchical Attention-based Crowd Counting Network

Vishwanath A. Sindagi, Vishal M. Patel
2019 IEEE Transactions on Image Processing  
This new set up reduces the burden of acquiring labour intensive point-wise annotations for new datasets while improving the cross-dataset performance.  ...  The proposed method, which is based on the VGG16 network, consists of a spatial attention module (SAM) and a set of global attention modules (GAM).  ...  Among the three aggregation functions for weakly supervised learning, LSE outperforms the other two functions.  ... 
doi:10.1109/tip.2019.2928634 fatcat:77rugkw4b5fwxpknbq2p4r3zqi

Efficient Parallel Preconditioners for High-Order Finite Element Discretizations of H(grad) and H(curl) Problems [chapter]

Junxian Wang, Shi Shu, Liuqiang Zhong
2010 Lecture Notes in Computational Science and Engineering  
block Gauss-Seidel smoothing technique.  ...  For an H(grad) elliptic problem discretized by high-order finite elements with a hierachical basis of k-th order, we design and analyse an parallel AMG preconditioner based on a two-level method and a  ...  Using a two-level method and a block Gauss-Seidel smoothing technique, we have designed an efficient parallel AMG preconditioner and a corresponding PCG method, and implemented them using HYPRE.  ... 
doi:10.1007/978-3-642-11304-8_37 fatcat:ahcde5bkwzdhzo2n7sz66mop5i
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