Author 3: Dr. Shakeel Ahmed Sheikh
Author 4: Muhammad Haris Khan
Keywords: Lean; KANBAN; FMCG; WMS; Just in Time; Logistics; Inventory Management.
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Paper 4: INTELLIGENT FREQUENCY CONTROL STRATEGY OF WIND TURBINE GENERATION SYSTEM WITH DFIG BY USING PI AND FUZZY LOGIC CONTROLLERS(15-21)
Abstract: In today world’s market; main disadvantage of Doubly fed induction generator is that under its operation mode, rotor speed decoupled from frequency of power grid resultd as not responding situation about changes of system frequency. With large-scale integration of DFIG; frequency stability of power system decreases and most significantly it creates disturbance in frequency regulation so its foremost priority to study control strategies for purpose of overall system frequency adjustment. The aim of this paper is to study and analysis of DFIG along with its frequency control strategy based on existing methods (PI traditional controller) as well as proposed new method based on Fuzzy control logic. Initially, establishes the mathematical model, build power decoupling control strategy, analyze response under varying system load. It is noticed that due to external performance of zero inertia, it changes characteristics of frequency response as well as reduces the equivalent inertia of power system. In order to cope this critical issue; theoretical and simulation-based analysis has performed. Furthermore, paper focuses on selection of control coefficients (Kp, Kd) in DFIG comprehensive inertial control strategy, analyzes the influence of inertial control coefficients and finally optimizes the control coefficient to meet the frequency regulation.
Author 1: Shaikh Jamshed Ali
Author 2: Poonam Lohana
Author 3: Nouman Faiz
Author 4: Umer Farooq
Author 5: Naqqash Ahmed
Keywords: Doubly-fed induction generator; PI traditional controller; Fuzzy logic controller; Inertial control coefficient
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Paper 5: OPTIMIZING ACTIVE CONTOUR EVOLUTION FOR ROBUST OBJECT SEGMENTATION IN MEDICAL IMAGERY(22-27)
Abstract: In image processing, Segmentation means to partition a digital image into multiple regions. Active contours, or snakes, are computer-generated curves that move within images to find object boundaries. These models can provide smooth and closed contours as segmentation results. With the development of modern computer technology and digital medical equipment, medical image has become an important means for clinical doctors to diagnose diseases. It is difficult for a doctor to manually interpret and understand an image, an image may contain more information as compared to required one. It requires more time to manually interpret an image as well as the interpretation remains subjective to previous knowledge. For a focused investigation, the clinician is always interested in a particular object or an ill organ (brain, bones, vessels). The goal of this research is How to improve segmentation for robust extraction of object of interest for a detailed analysis? Accordingly, we will propose an improved segmentation method and test this for a variety of objects including synthetic and clinical imagery.
Author 1: Asma Inayat
Author 2: Moazzam Jawaid
Author 3: Shahnawaz Talpur
Keywords: Image segmentation; Active contour models; Object contour detection; Global region-based segmentation; Localizing region-based segmentation: MATLAB.
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ISSN: (e) 2520-7393
(P) 2521-5027
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