Advanced Research Publications: Technology Journals
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Designing of Audiometers Embedded Systems Design
An audiometer is a device that can measure a person’s hearing ability, i.e. if the person’s hearing is normal or impaired in any way (various degrees of deafness). The measurement can then give an indication of what might have caused the impairment (noise, age etc.). Most people have had an ear test done at some point of their life, at school, their workplace, national service or their ENT doctor.Statistics indicated that hearing loss is prevalent. Hearing loss can be prevented or minimized especially if detected early. The instruments used for the tests to determine hearing loss as the audiometer. These are very expensive as discussed earlier. Therefore, a low cost functional audiometer will boost and provide more people access to have hearing loss tests conducted and severe cases dealt with. There is therefore, the need to intensify efforts geared towards this low cost audiometer design.
Side Lobe Suppression Techniques in OFDM Based CR
Economical pooling of the spectrum is achieved by employing a psychological feature radio (CR) that could be a multi-band, spectrally agile radio that employs versatile communication techniques. Orthogonal frequency division multiplexing (OFDM) has established to be the prime candidate for spectrum pooling primarily based wireless transmission systems as it can deliver the goods high information rate communications. The big facet lobes ensuing from the employment of OFDM lead to high out-of-band (OOB) radiation. During this context a survey of side lobe suppression methodologies for psychological feature radio is bestowed. Varied aspects of side lobe drawback square measure studied from a psychological feature radio perspective associate degreed an economical suppression technique is introduced. Challenges related to side lobes square measure given and enabling suppression strategies square measure reviewed
Design & Implementation of Basic Autonomous Robots
This paper involves implementation of autonomous robot ‘without’ using any microcontroller. It’s purely a piece of analog and (combinational or sequential) Digital logics that will guide the robot on a known path. Only the electronics hardware (without any microcontroller) will guide the robot and will even take decisions on its way. There won’t be any sort of programming or any interface with PC. This work emphasizes on the wok of designing a robot using the basics of electronics i.e. analog and digital logic thus demonstrating the importance of this two fields in electronics.
Application of Control Desk Test AutomationGraphical Tool for Quality Assurance in the Development of Advanced ECUs
Control Desk Test Automation is a tried and tested tool for quality assurance in the development of advanced ECUs. Control desk is a complete graphical tool which provides GUI for different input/ output variables. One can create graphical panels for power supply, analog/digital inputs/outputs; CAN messages from different controllers, Interactive calibration, FIUs, diagnostic trouble codes and so on.Control Desk can be operated in two modes: The Developer mode gives you the full functionality, and the Operator mode protects your experiments against unauthorized changes
Model Based Design of Hybrid Electric Vehicle (HEV) Powertrain
Hybrid electric vehicles are combination of internal combustion engine and electric motor to drive a vehicle. This combination will reduce growth greenhouse gases or air pollution and also an advantage to conserve fossil fuel reserves in the world. Model based design and simulation will be done in MATLAB/ SIMULINK® software. Model based design and simulation will help the development process and also cut the costs and time. At the same time engineers analyse the model based design to create the actual physical system like combustion engine, electric motor and generator as well the control theories for efficient control mechanism. By using Stateflow® the control logic is created to activate different cycles. The control logic will be changing modes like start mode, acceleration mode, cruise mode, braking mode and stop mode. Each mode will be activating physical models like engine, motor etc, output torque and speed of shaft is shown graphically. These modes will be as per timing and speed of the vehicle. Simulation process will be testing the model based design and control strategy. The graphical results will be showing the functionality of system as well as advantages in efficiency.
A Stochastic Frontier Approach for Performance Assessment of Indian Electricity Distribution Licensees
Indian power sector has witnessed significant progress in recent times particularly in generation and transmission. However, the distribution licensees today are facing different challenges in terms of huge financial losses caused by several factors including inadequate tariff, high aggregate technical and commercial losses, operational inefficiencies, regulatory infirmities etc. Thus, there is a need to effectively assess the efficiency and overall performance of distribution utilities and provide solution for improvement. The present study analyses the performance of 59 Indian electricity distribution licensees (including both public and private owned) by working out the technical efficiency using the mathematical model of Stochastic Frontier Analysis (SFA). In the present research, the authors estimated a translogarithmic inefficiency effects stochastic frontier model using consumer density, consumer structure and distribution loss as determinants of inefficiency. The quantitative estimates obtained from the production function shows the mean technical efficiency score of 0.81 indicating that on the average, the electricity distribution licensees were able to obtain about 81% of potential output from a given mix of inputs and there was 19% allowance for improving efficiency of electricity distribution utilities. This framework would be practical for policy makers and individual state electricity regulatory commission to rank their distribution licensees and formulate performance based incentive mechanism to improve their operational and financial performance
A Glimpse and Contrast on Different Models of Artificial Neuron
Artificial neuron network (ANN) is non linear mapping structures based on the function of human intelligence. They are powerful tools for modeling especially when the underlying data relationship is known.ANN can identify and discover correlated patterns between input data sets and corresponding target value. After training, they can be used to predict the outcome of new self-regulating input data. There are different models of artificial neural networks-The McCulloch-Pitts Model of Neuron, the ADALINE Model and Perceptron Model which are discussed in this paper
Architecture of Tachograph: Blackbox with Smart Card to Enforce Road Safety
Tachograph is a device that combines functions of clock and speedometer. It is used mainly to record driving and rest times for drivers and co-drivers of commercial vehicles. In addition to the vehicle speed, distant traveled and other system related parameters would also be recorded. Various Tachograph cards like, driver card, company card, workshop card are used to store the imperative data like driver personal information, company information. Moreover it facilitates functionality of downloading of stored data to an external storage device like computer. At the end of the day we can easily take print out of data stored in the card with the help of serial printer attached to it. Tachograph itself shall be considered as the memory of the vehicle in which it is fitted, whilst driver card shall be considered as the memory of the activities performed by the driver.This paper gives complete idea regarding the Tachograph, Need and characteristics of the Tachograph. Moreover explains the existing another technologies and their characteristics & mainly elaborates the complete architecture of Tachograph, Gives complete understanding of Rabbit processor board (main board) and Vehicle Data Interface Unit (Data Logger) with the help of block diagrams
Designing of Remote Central Locking System Using RF Communication
In the modern era, automobiles are no longer considered as mere mechanical devices; they emerge from the combination of mechanical, electrical, computer and applied control engineering, and are pervasively monitored and controlled by multiple digital and communication based mechanisms. The transformation of automobiles from being mere mechanical to mechatronics, brings major advancements in security and efficiency but at the same time, it also introduces a range of new potential risks. In this article, we experimentally evaluate these issues on a modern automobile and develop a two way remote keyless entry system which aims at providing secured environment for the vehicles.
A Comparative Study of Power Distribution Over voltages Classification Using feed forward Artificial Neural Networks and General Regression Neural Networks
Power outages due to overvoltage and following damages affect a large part of power distribution networks. A right identification system for the overvoltage can help in fast intervention and shorten the outage duration. In the present work, authors present a comparative study of distribution overvoltage identification. The study is conducted with data simulated from ATP-EMTP with a network designed from data of real case studies conducted on 10kV distribution network of the city of Qingyuan electrified by the China Southern Power Grid. The comparison study is conducted with data from time domain analysis and Wavelet Packet Decomposition (WPD) analysis. Two identification tools are used: the General Regression Neural Network (GRNN) and the Feed forward Artificial Neural Network (FANN). Training and identification performances are compared at the end of the study bringing out some specificities of the two identification tools regarding identifications of the direct strike lightning overvoltages, temporary overvoltages and capacitor bank energization overvoltages.