D. S. Sidhu

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This paper presents the evolutionary optimization technique called craziness based particle swarm optimization (CRPSO) for the design of a digital band stop FIR filter. CRPSO is the much improved version of PSO, that proposes a new definition for the velocity vector and swarm updating and hence the solution quality is improved. It is a population based(More)
INTRODUCTION Breast cancer is the most common occurring cancer in women worldwide. Various factors that have lead to change in lifestyle are thought to be associated with increase in breast cancer incidence in Asian countries. Several clinical studies suggest the prognostic significance of serum lipid levels in breast cancer. Present study was planned to(More)
This paper presents a novel approach for designing a digital FIR high pass filter using hybrid predator prey optimization (HPPO) algorithm. HPPO is a combination of two algorithms that are given by predator prey optimation (PPO) and exploratory move (EM). Predator prey optimization is a global search algorithm whereas exploratory move is a local search(More)
In this paper, hybrid technique with differential evolution (DE) method as a global search technique and binary successive approximation (BSA) based evolutionary search method as a local search technique is proposed. Evolutionary search is used for the exploration and pattern search method for exploitation. To initiate with good population, the opposition(More)
BACKGROUND Estimation of the outcome is paramount in disease stratification and subsequent management in severely ill surgical patients. Risk scoring helps us quantify the prospects of adverse outcome in a patient. Portsmouth-Physiological and Operative Severity Score for the Enumeration of Mortality and Morbidity (P-POSSUM) the world over has proved itself(More)
This paper presents an optimal design of linear phase digital low pass finite impulse response (FIR) filter using hybrid particle swarm optimization (HPSO) technique where PSO has been hybridized with exploratory search technique. PSO is a simple, population based robust global search algorithm capable of handling large search space. Exploratory move is a(More)
INTRODUCTION Breast cancer is now the leading cause of cancer among Indian women. Usually large tumour size and axillary lymph node involvement are linked with adverse outcome and this notion forms the basis of screening programs i.e. early detection. AIM The present study was carried out to analyse relationship between tumour size, lymph node status and(More)
Iris Recognition System being highly accurate and reliable is superior to all the biometric systems for person identification. This paper describes a Hough Transform and Reverse Biorthogonal Wavelet Transform based iris recognition system. Performance of the system has been evaluated on various levels of decomposition. For this, grayscale images of UBIRIS(More)
Image segmentation is an important problem in computer vision to completely understand the image for better results, i.e., identification of homogeneous regions in the image and has been the subject of considerable research for over the last three decades. Many algorithms have been elaborated for this purpose. This paper elaborates two algorithms one is(More)