IJERD Editor

Abstract: Most of the embedded telecom applications running on customized processor boards are needed to record their activities in the form of log messages. These messages help telecom application developers to troubleshoot virtually all kinds of system and application problems. The logger also provides valuable early warning signs and also provides with crucial forensic data .Hence Logger’s performance is to be investigated and optimization is required for logger. In this project we are proposing a method to optimize logger for IPBTS application running on embedded system. This paper describes the procedure to asses and analyse logger with the syslog for telecom application and also elaborates the method to measure the logging time with a test application which contains two threads running on customized processor board. These papers presents the procedure to measure logging time and compare it with optimized syslog package logging time on linux operating file system. With this research experiment for logger, we minimized Layer 1 processing time in IPBTS product development project from 1700 micro seconds to 160 micro seconds. Layer 1 processing time includes channel activatation i.e. non combined CCCH channel, 3 TCHF, 1 SDCCH8 and mode of activation is by BTS controller stub. This paper also presents the experimental results to optimize syslog package for IPBTS application development on linux environment running on MPC 8548E processor board.

Abstract: Gear defects are a major reason for poor quality and of embarrassment for manufacturers. 0Inspection processes done on these industries are mostly manual and time consuming. To reduce error on identifying gear defects requires more automotive and accurate inspection process. Considering this lacking, this research implements a Gear Defect Recognizer which uses computer vision methodology with the combination of local thresholding to identify possible defects. The recognizer identifies the gear defects within economical cost and produces less error prone inspection system in real time. In order to generate data set, primarily the recognizer captures digital gear images by image acquisition device and converts the RGB images into binary images by restoration process and local threshold techniques. Later, the outputs of the processed image are the area of the faulty portion and compute the possible defective and non –defective gear as an output.

Abstract: Plants play an important role for the development of human society. The urgent situation is that due to environmental degradation, many rare plant species on the earth are still unknown and are at the margin of extinction, so it is necessary to keep record for plant protection. This research focuses on using digital image processing for the purpose of automate classification and recognition of plants based on the images of the leaves. The system consists of 4 main modules, 1) image acquisition, 2) image preprocessing, 3) image recognition and 4) display result. In the image acquisition module leaf image is captured by using digital camera. In the image preprocessing module, various image processing techniques are applied for preparing a leaf image for the features extraction process. In the image recognition module, various features are extracted from the leaf image and recognize it. In the display result module displays the recognition results. 12 kinds of leaves were taken to carry out the experiment. The accuracy of the system is 97.9 percent.

Abstract: Electrochemical oxidation of synthetic aqueous Acid Green V dye solution was investigated in a tubular flow reactor using Ti/RuO2IrO2TiO2 as electrodes in NaCl electrolyte medium. The influence of effluent flow rate, initial dye concentration and the current density on COD reduction and color removal were studied and the power consumption computed. Percentage reduction in COD and color removal were found to be maximum(80% to 100%) at the minimum flow rate of 10 lph and the maximum current density of 2.5 A/dm 2 for all the effluent solutions of different initial concentrations. A flow rate of 30 lph and current density of 1.5 A/dm 2 was found to be optimal for lower power consumption.

Abstract: Low frequency electromechanical oscillations are inevitable characteristics of power systems and they greatly affect the transmission line transfer capability and power system stability. Traditionally, power system stabilizers (PSS) are being used to damp these oscillations. Unified Power Flow Controller (UPFC) is a well-known FACTS device that can control power flow in transmission lines. It can also replace PSS to damp low frequency oscillations effectively through direct control of voltage and power. In this paper a liberalized Philips-Heffron model of a (Single Machine– Infinite Bus) power system with a unified power flow controller is considered. The designed fuzzy-based UPFC controller adjusts four UPFC inputs by appropriately processing of the input error signal, and provides an efficient damping. The results of the simulation show that the UPFC with fuzzy-based controllers is effectively damping the LFO.

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Abstract: This paper describes an integrated speed-position control mechanism for 2 – axis of DC motors with precise synchronization. The trajectory for each axis is generated by setting acceleration and velocity. The speed control is adopted in an inner loop to ensure robustness of position of each axis against disturbances. The performance of speed and position control is tested in presence of load and variation in power supply voltage. The speed controllers are implemented using Proportional-Integral-Derivative (PID) algorithm; while position controllers are implemented using Proportional-Derivative (PD) algorithm. The integrated speed-position control is used to reduce position synchronization error caused by different motor dynamics. The results demonstrate the effectiveness of the proposed control for 2-axis position synchronous control.

Abstract: Deblurring is one of the issue which occurs while Nailfold Videoscopy is done which effects the flow calculations of the particles moving in the vessels. There has been an urgent need to develop non invasive methods and algorithms which helps in diagnosis of cronic diseases like arthritis, sclerosis etc. our proposed algorithm helps to deblur the Nailfold Videoscopic frames for better enchanced image and thereby helping to have more accurate calculations. In this paper we have first try to enchanced the image/frames by using deconvolution method and Jacob enchancement filter which gives excellent results and improved segmentation for better accurate flow calculations.

Abstract: Eesembling Classification techniques have been widely used in the medical field for accurate classification than an individual classifier. Modified Rotation Forest algorithm was proposed for accurate liver classification by analyzing the combination of selected classification algorithm and feature selection technique. Selected classification algorithms were considered from each category of classification algorithms. The category of classification algorithms are Tree based, Statistical based, Neural Networks based, Rule based and Lazy learners. Modified Rotation Forest algorithm for UCI liver data set has multi layer perception classification algorithm and Random Subset feature selection technique and for INDIA liver data set has nearest neighbour with generalized distance function and correlation based feature selection technique

Abstract: The Computer has become an inseparable part of life for many people in the world. Its innumerable uses have changed the life of many, not only in technical field but also in non-technical field. Moreover, now-a-days, with increasing use of the computer, people are getting well aware of the peripherals that are associated with it. These peripherals give additional features to the already existing functionalities of the computer, while some enhance them. Along with the advancements in capabilities of the Computer, the capabilities of these peripherals have also been improved, thus, making it simpler and more user-friendly for the user. Gradually, using the computer has become very easy these days. To make it even more simple, the interfacing of the peripherals with the computer have also changed and improved a lot. The main idea of this project is related to one such peripheral the USB. This user friendly device is actually recognized by its Connection type- the BUS; called the Universal Serial Bus. It comprises of just four connection wires between the Host (Computer) and the Device, governed by a set of rules called the Protocol. The aim of this project is to transfer data without using a computer, from one USB flash disk to another.

Abstract: There are many different features for the diagnosis of fibrosis in Computerized tomographic (CT) images and microscopic Images etc. This paper provides a brief review of prominent features used in identifying fibrosis in microscopic tissue images and the usage of Digital Image Processing in identifying the disease. Traditional methods like unnecessary needle biopsies, manual diagnosis used in identifying the disease require more time, the quality of diagnosis is also bad and having very little reliability. So new methods need to be introduced which helps in diagnosing fibrosis with the help of most prominent features of the disease studied in microscopic images of tissues. In this paper, interest is on the discussion of the prominent features and the usage of automated computerized diagnosis using digital image processing for the recognition of fibrosis. It would enhance the benefits, quality and reliability of diagnosis and how actually it works i.e. different steps involved in the methodology adopted are also summarized.