International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control EngineeringA monthly Peer-reviewed & Refereed journal
IJIREEICE meets the suggestive parameters outlined in the latest University Grants Commission (UGC) for peer-reviewed journals, ensuring high standards of research integrity, publication ethics, and academic excellence.
Abstract: Artificial neural networks (ANN) have been widely used for monitoring, control and optimization of various bioprocesses mainly because of their ability to understand a function from observations. However in the last two decades the application of intelligent controllers has grown tremendously in the field of bioprocess control. This paper provides a brief review the different theories of intelligent control along with a survey of their applications in various bioprocesses of control strategies in terms of type of controller, the structure, the algorithms, the objectives and the results of the work. Apart from demonstrating the successful applications of intelligent controllers in several control applications, the versatility of the controllers to be applied in multiple control methods has also been shown.
Keywords: Bioprocess control, intelligent control, Artificial neural network, Bioprocess control
Comparison of IWSN MAC Protocols for IEC 61850 Application
Maryam Shabro, S. Ali Ghorashi
DOI: 10.17148/IJIREEICE.2015.3602
Abstract: Electric power utilities need status and conditions monitoring of assets in addition to measured and metered data, in order to increase the reliability of power delivery. One of the main standards in the scope of communication networks and systems in electrical power grid is IEC 61850. In smart grid applications, IEC61850 is accepted and deployed for in substation automation as well as other applications such as Condition Monitoring Diagnosis (CMD). Wireless Sensor Networks (WSNs) facilitate the realization of CMD of any device, anytime, anywhere by any service. This provides the use of Internet of Things (IoT) technology for CMD. Some WSN communication profiles are based on IEEE802.15.4 and have specific industrial applications, where time and reliability are critical parameters. In this paper, the specifications of Wireless HART, ISA100.11, and WIA-PA as the most popular industrial WSN protocols are reviewed, in order to define the suitability in supporting IEC61850 message types for smart grid Machine to Machine (M2M) communications. It is concluded that ISA100.11 is much more appropriate to adopt for IEC61850 Manufacturing Message Specification (MMS) messages.
A Survey on ECG Signal Feature Extraction and Analysis Techniques
Naveen Ku. Dewangan, S. P. Shukla
DOI: 10.17148/IJIREEICE.2015.3603
Abstract: Electrocardiogram (ECG), a non-stationary signal, is extensively used to measure the rate and regularity of heartbeats. Comparison of overall ECG waveform pattern and shape enables doctors to diagnose possible diseases. Currently there is computer based analysis which employs certain signal processing to diagnose a patient based on ECG recording. Noise severely limits the utility of the recorded ECG and thus needs to be removed for better clinical evaluation. ECG feature extraction is also required because it plays a significant role in diagnosing most of the cardiac diseases. One cardiac cycle in an ECG signal consists of the P-QRS-T waves. The feature extraction scheme determines the amplitudes and intervals in the ECG signal or any other features of it for subsequent analysis. Recently, numerous research and techniques have been developed for analyzing the ECG signal. This proposed paper discusses various techniques and transformations proposed earlier in literature for feature extraction and analysis of ECG signals and makes comparison among them.
Keywords: ECG, processing, feature extraction, ECG signal analysis.
Abstract: In the automobile industry, Resistance Spot Welding (RSW) is widely used for its low cost, high speed, simple mechanism and applicability for automation. RSW has become the predominant means of auto body assembly, resulting in two to six thousands spot welds performed on each manufactured car. In the North American automobile industry there are approximately 100 billion spot welds, which are done every year. RSW is the joining of two or more metal parts together in a localized area by resistive heating and pressure. Small Scale RSW (SSRSW) is commonly used for medical devices and electronic components, because the welded parts are thinner and smaller compared to common RSW applications, such as automotive applications. This project study will focus on studying and improving weld power supplies, weld schedules and control modes. One of the goals for this project is to improve the consistency of weld nugget size and strength by using different control parameters, which will be weighted geometric averages of voltage and current. These control parameters are fed back to a Proportional Integral Derivative (PID) controller that is designed to control the Direct Current (DC) power supply for the RSW to come up with the best control parameters that will improve the consistency of the RSW spot welds.
Keywords: Resistance Spot Welding (RSW), Small Scale RSW, Large Scale RSW, DC power Supply, Timer IC and Buck Converter.
Design RFID tag and implementation of RSSI based automatic toll Connection
Mrs.D.Muthulakshmi, Mrs.S.Janani
DOI: 10.17148/IJIREEICE.2015.3605
Abstract: Electronic toll collection (ETC) systems are designed to assist in the management of toll operations through technology that aids in streamlining traffic movement. ETC aims to eliminate the delay on toll roads by collecting tolls electronically. ETC determines whether the vehicles passing are enrolled in the program, alerts enforcers for those that are not, and electronically debits the accounts of registered vehicle owners without requiring them to stop. ETC involves four major components: Automated vehicle identification, Automated vehicle classification, Transaction processing, Violation enforcement. The database and report capabilities allow for better management of tolling operations, ensuring maximum revenues. This system detects distance between the vehicles and the reader using RSSI and debits from the account. Received Signal Strength Indicator (RSSI) is a measurement of the power present in a received radio signal. My project consists of an integrated vehicular unit onboard with wireless transceiver and a roadside reader with wireless transceiver and web access to debit from vehicle owner’s account. The vehicular unit automatically communicates with the reader when it enters the range and transmits its identification. The reader based on the identification received, deducts money from the vehicle owner’s account and sends a message to the owner. Other vehicles are indicated in case of arrival of an emergency vehicle in the range to yield the way to the emergency vehicle.
Keywords: Received Signal Strength Indicator (RSSI), Automated vehicle identification, Automated vehicle classification, Transaction processing, Violation enforcement. wireless transceiver and web access.
SOLAR POWERED LED STREETLIGHT WITH AUTOMATIC INTENSITY CONTROL
Ahmed ShariqueAnees, Anupriya, Ayushy Chowdhary,Shalini Dubey,Shweta Verma
DOI: 10.17148/IJIREEICE.2015.3606
Abstract: As we all know that energy consumption has increased a lot and sources of energy are limited so in order to meet the increasing demand of energy use of renewable sources of energy is a must. Keeping this in mind in this paper we are discussing about SOLAR LED STREET LIGHT WITH AUTO INTENSITY CONTROL.This street light is driven by solar energy and apart from this it also controls its intensity from dusk to dawn depending upon the brightness. A case study is also done to show advantages of solar led street light compare to that of traditional street light. This street light can save a large amount of electricity compared to the tradition one which are alight to their maximum intensity at all times after they are switched on.
Abstract: Recently conventional Multi-carrier Code Division Multiple Access (MC-CDMA) techniques attract more attention of researcher’s due to its high frequency spectrum efficiency and high data rate transmission. The aim of this work is to investigate the performance of multi-carrier code division multiple access (MC-CDMA) technique, which is a key technology for efficient and reliable communication due to its high frequency spectrum efficiency and high data rate transmission. This paper presents the performance of conventional MC-CDMA system, orthogonal wavelet packet based MC-CDMA system (WP-MC-CDMA), and Huang Hilbert Transformation (HHT) based MC-CDMA system. This scheme outperforms other two techniques, because this scheme is based on the knowledge of the instantaneous channel state information, or based on instantaneous imperfect channel estimates. Thus, by the knowledge of their channel gains or channel information, it can analyze the data more accurately. Hence, it is a more spectral efficient and high data rate transmission scheme compared to the conventional MC-CDMA and WP-MC-CDMA..
Keywords: AWGN Channel, Bit Error Rate, BPSK OFDM, MC-CDMA, HHT Based MC-CDMA, WP MC-CDMA, M Ray QAM, QPSK.
Passage of power Transformers High- Frequency Models and application top Q Analysis
NiteshPrajapati,Shelender Kumar Vishwaharma, Prof. JanardanPratap Singh Dubey,Prof. Manish Awasthi
DOI: 10.17148/IJIREEICE.2015.3608
Abstract: We consider the possibility of proposed high-frequency (HF) models of transformers past power transformersforming part of an electrical grid. We first model a transformer, their application to power quality (PQ) studies. The models are classified according their structure, including its laminated core, toobtain asymptotic behavior of currents and voltages in the secondary circuit. we are able to determine the effects of different by-pass mechanisms which might be tried to getthe high-frequency signal from the primary to the secondary circuit. This research work is devoted to the comparisonof some proposed high-frequency (HF) models of transformers.
Keywords: high frequency transients, high frequency modelling.
Circular Slot Rectangular Patch Microstrip Antenna for Dual Band Application
Gajanan H. Wankhade, Md. Aslam, Archana Sharma, Vikas Gupta
DOI: 10.17148/IJIREEICE.2015.3609
Abstract: Compact microstrip patch antenna with circular slot is proposed for dual band application. The proposed design offers wide bandwidth and dual band operation useful for WLAN and X band application. This antenna is designed by adopting a rectangular patch on FR-4 epoxy substrate with dielectric constant ( ) is 4.4. Antenna is simulated using electromagnetic solver HFSS. The antenna has small size of 21.1 32 1.6 mm3. The proposed antenna have return loss bandwidth of around 1.5 GHz (4.28 GHz – 5.84 GHz) i.e. 31% at lower band and 6 GHz (7.15 GHz – 13.21 GHz) i.e. 60% at higher band. The gain of antenna is 4.27 dB at resonant frequency. Various antenna characteristics like VSWR, Directivity, Impedance, Radiation pattern is also given in the paper.
Keywords: Fire Redundant-4 (FR-4), Wireless Local Area Network (WLAN), HFSS
Crack Filling of Art by using Image Processing: A Review
Anubhav Singh, Amit.K.Biswas, Ekta Tamrakar
DOI: 10.17148/IJIREEICE.2015.3610
Abstract: The conservation of Art especially the old paintings has been a matter of concern. Numerous methodologies using Digital Image Processing have been proposed regarding the fixation of the cracks. This has been done so as to provide clues to art historians, and the general public on how the painting would look like in its initial state, i.e., without the cracks. In this paper, a brief Literature Survey has been made so as to analyze different methodologies that have been used for the detection as well as for the crack filling. This article discusses a number of modern techniques used for the analysis of works of art.
Keywords: Craquelure, thresholding, top-hat transform, Median Filter.
Abstract: Recycling is a process change waste materials into new products to prevent waste of potentially useful materials, reduce the consumption of fresh raw materials, reduce energy usage, reduce air pollution (from incineration) and water pollution by reducing the need for “conventional” waste disposal, and lower greenhouse gas emissions as compared to plastic production. Recycling is a key component of modern waste reduction and is the third component of the “Reduce, Reuse and Recycle” waste hierarchy.
Comparison of Generalized Instantaneous Power Theory and Modified Generalized Instantaneous Power Theory for Shunt Active Power Line Conditioner
Sanjay C. Patel, Tushar A. Patel
DOI: 10.17148/IJIREEICE.2015.3612
Abstract: In this paper generalized definition of instantaneous power quantity in the multiphase system under unbalanced and non-sinusoidal supply condition is discussed. In the area of Active Power Line Conditioners (APLC), shunt APLC is widely used in practice. Many reference current generation methods are proposed by different researchers, but most of them work optimally with balanced and sinusoidal source voltage. This paper proposes a novel concept of decomposing the multiphase current vector into different components, which represents different component of the power quantity. The formation of calculating compensation current according Generalised Instantaneous Power Theory (GIPT) and Modified GIPT has been studied. Next, the behavior of a shunt APLC with these two theories has been studied. Performance of shunt APLC tested and compared under unbalanced non-sinusoidal supply condition. Under distorted and/or unbalanced system voltages, GIPT does not compensate properly the load currents and injects harmonic currents into the supply, which are not originated from the non linear load. Necessary modifications in GIPT more general compensation objective is possible.The validity of the proposed control scheme is verified by the simulation study.
Keywords: Active filters, instantaneous power, geometric algebra, nonsinusoidal waveforms, power multivector.
Abstract: This paper describe Computer control with voice command using soft computing tool Matlab. The system enlightens upon the invention as well as technological advancement in the field of voice controlled computer using Matlab. In this paper the concept of voice recognition is use to control the computer. Initially analog voice input will be given to computer using microphone which will be recorded in samples and the MFCC feature is extracted from that voice command and it is stored in the database. The real time input voice command to be executed will be send to the computer that will be compared with stored data base by MFCC algorithm and if the match is found then particular operation is performed. This system will be helpful for physically disabled persons and also for the peoples who needs simple access to their computer.
Abstract: In heterogeneous wireless networks, vertical handoff plays a crucial role in providing seamless continuity to a multimode terminal user. Network selection is the key element in vertical handoff process. Several strategies have been proposed in literature to address the problem of network selection and multiple attribute decision making (MADM) methods have evolved as one of the most promising solutions. This paper compares the performance of three MADM methods, namely SAW (Simple Additive Weighting), WPM(Weighted Product Method) and PROMETHEE (Preference Ranking Organization Method for Enrichment Evaluations) in network selection. The AHP (Analytic Hierarchy Process) method is used to assign weights to the criteria. Simulation results show that PROMETHEE provides more accurate network selection for conversational, interactive and background traffic classes. However the performance of SAW, WPM and PROMETHEE is found to be similar and inappropriate for streaming traffic class.
Keywords: Network Selection, SA, WPM, PROMETHEE, AHP.
Comparison Of A Novel Non-Conventional Multi-level Inverter For Different Levels
Sadhu Renuka, G.Kishor
DOI: 10.17148/IJIREEICE.2015.3615
Abstract: Multi-level inverters play a key role in present days as the output obtained from it is of high quality as it contains less harmonic distortion and almost similar to sine-wave .Multi-level inverters are used at high power and voltage purposes which are required by the industries, hence the growth of Multi-level inverters. In this paper, a novel non-conventional Multi-level inverter topology is developed with less number of voltage sources and switching devices, and this developed topology is compared for different levels. Asymmetric condition is verified for this proposed novel non-conventional Multi-level inverter topology by using MATLAB SIMULINK software.
Abstract: Boiler efficiency is a great concern in all process industries. To improve thermal efficiency of boiler, heat loss of the boiler needs to be monitored continuously and controlled. Direct method of evaluating the boiler efficiency is simpler but does not provide any information about boiler losses. Calculation of boiler efficiency using indirect method is time consuming process as it involves complex mathematical expressions. In most of the process industries, the boiler efficiency is calculated once in a month, due to which the boiler losses cannot be controlled as and when they vary. This paper presents development of application software for monitoring of boiler efficiency using conventional indirect method. The software eliminates time consuming calculation for boiler engineers and the control action can be initiated immediately, which reduces the fuel consumption. The system is developed in Data Acquisition SYstem Laboratory (DASY Lab) software package and validated using the data collected from one of the leading cement industries. The data is further analysed to identify the causes for various boiler losses and measures to be taken to minimize losses there-by increasing boiler efficiency.
Identification of Impurity level in Liquids Using Electronic Sensor Based System
Smita A. Nagtode, Dr. N.K. Choudhari
DOI: 10.17148/IJIREEICE.2015.3617
Abstract: Now a day, it is essential to detect impurity in liquids. The research project proposed is beneficial to the society by and large by giving the measure to reduce the adulteration practices in liquid. The concept of electronic tongues is more recent, and much less research has been undertaken on the development of liquid sensors and classification algorithms. By combining sensor systems e.g. Electronic noses and tongues together with a enhanced image processing techniques, the classification accuracy can be increased. In the proposed research work, an electronic system is developed so that it can be used for analyzing liquids like milk and water. The system hardware and software is designed and developed and efforts are taken to analyze a liquid. The research work involved is the use of image processing techniques, development of new algorithms, continuous monitoring of the liquids under test, and an evaluation of the quality of a liquid. This paper is based on new enhancement technique for infrared images which integrates the benefits of additive wavelet transformation and homomorphism image processing. In the final step these homomorphism enhanced sub bands are subjected to an inverse additive wavelet transform to get an infrared image with better visual details.
Long Period Fiber Grating (LPFG) and to Study the Effect of Coupling Length on Its Different Modes
Ms. Himani Dua, Mr. Puneet Sehgal
DOI: 10.17148/IJIREEICE.2015.3618
Abstract: As we already know that optical fiber communication is now a days used in the world’s communication network. Optical fiber can be used as a medium for telecommunication over long distances and networking of respective signals as it is light weight and can be bundled in the form of cables. Fiber optics is the only technique known today to have the power to meet the strong demands for flexibility and high bandwidth posed by the rapidly growing communication networks. The optical systems were primarily used in point-to-point long distance links [10]. As long period grating (LPG) is an important component of optical fiber communication system, thus, long period grating can be designed in a effective manner to use it as a important tool to sense the refractive index of any medium. In this paper we have studied about in depth concepts of Long period grating (LPG) and coupled mode equations have been solved for long period grating to analyze the grating structures that exhibit attractive optical properties that make them suitable for optical communication system as a wavelength filter. At the end, we have studied the effect of coupling length on exchange of power and its variation between the core mode and different cladding modes at =1.55μm for a specific set of parameters defined under the observation for a fiber.
Keywords: Optical Fiber, Communication network, Long Period Grating, Coupled Mode analysis, cladding modes, coupling length.
Abstract: In this paper the driver circuits are proposed for light emitting- diode (LED) lamps with a dimming feature. The two different drivers used are Flyback converter and Forward Converter in series with the dc-link. In this paper the two driver circuits are compared for the controlled output current and voltage. The dimming is achieved by pulse width modulation technique. The variation is observed with the different values of duty cycles. This paper is a comparison between the two driver circuits.
Implementation of UWB-OFDM Fixed Point Model Using PAPR-Clipping Technique with Frequency Hopping Filtering Technique
M.Teja Kiran Kumar,P.Dhana Lakshmi
DOI: 10.17148/IJIREEICE.2015.3620
Abstract: In a communication system, operation of the transmitter power amplifier is limited to linear range. Input signal with an amplitude more than the transmitter power amplifier linear range results in signal distortion. Hence, the input signal to the transmitter should be with low peak to average power ratio. This paper presents a PAPR reduced UWB (ultra wide band) model using clipping Technique and Frequency Hopping Filtering. Due this model we evaluated the low PAPR, Increased signal efficiency and by low Bit error rate. Frequency hopping to decrease channel fading and Inter Symbol Interference.
Efficient Design of Frame Based Recovery Technique for Corrupted Video Files
Chetan Thakre, Prof. Mangesh Thakare, Prof. S. A. Dhande
DOI: 10.17148/IJIREEICE.2015.3621
Abstract: In digital forensic recovery of data from corrupted video files is an essential requirement in criminal case solving issue. Video frame is meaningful measure of video data. This paper presents a novel approach of recovery of video files using frame based recovery technique. Many existing technique uses file restoration rather than frame restoration. This paper proposed the video restoration using a fragmentation technique. The fragmented video is first extract and then it is attached to make it in playable form. if in case a target video file is overwritten then video recovery using this approach may get fail, for a corrupted video file contain overwritten segmenting this proposed technique can recover most of the video contents in non-overwritten segment of the files. This paper presents a frame- based recovery technique of a corrupted video file using the specifications of a codec used to encode the video data.
Keywords: Video file restoration, file fragmentation, frame based recovery, corrupted video data.
Automatic Ventilation of Vehicle Interior and Driver Fatigue Monitoring & Controlling System
P.V.S.Usha, S.Raj Kumar
DOI: 10.17148/IJIREEICE.2015.3622
Abstract: In order to mitigate overheated interior of a vehicle parked in the hot summer sun and thereby to make the entering into the vehicle more comfortable, microcontroller managed module for automatic ventilation of vehicle interior is made. The module is implemented using a microcontroller as a central logical unit and a series of sensors which provide sufficient data to ensure functional, but also efficient, reliable and safe ventilation. The ventilation process is performed by opening vehicle windows slightly, which enables air to circulate. The PIC microcontroller controls the car head light system during the night time travel by controlling the high beam and low beam lights. The system is embedded with MATLAB which access the camera and monitors the position of driver face. It can avoid the accidents by alert the driver using alarm or by stopping the vehicle. This paper shows the components, their purpose and capabilities, advantages and disadvantages, as well as potential implementations and upgrades. The test results give insight into utilization options of this module and its usefulness.
Abstract: This paper presents artificial neural network (ANN) for a week ahead load forecasting. Load forecasting has become one of the major areas of research in electrical engineering and is an important problem in operation and planning of electric power generation. In this paper three months of hourly load data is collected from the 66/11kv substation davanagere city and application of short term load forecasting (STLF) using multilayer feed forward network (MLFFN) with gradient descent back propagation algorithm is used in MATLAB environment. The results shows that this method is simple and more accurate with the minimum error and can be used for short term load forecasting.
Keywords: Artificial neural network, Short term load forecasting, multilayer feed forward network.[
Robust Signature Verification and Recognition using Weighted Features Point
Nikita S. Wani, S. P. Patil
DOI: 10.17148/IJIREEICE.2015.3624
Abstract: This paper robust signature verification and recognition using weighted features point that applies artificial neural network which discriminates between two types of signature (i) forged and (ii) original signature. The proposed scheme performs pre-processing on the signature, feature point extraction and neural network training and finally verifies the authenticity of the signature. The aim here is to reduce two vital parameters False Acceptance Rate (FAR) and False Rejection Rate (FRR). Results are also maintained in terms of FAR and FRR and parallel comparative analysis is made with existing techniques. The Proposed technique provides more accurate and precise results than most of the existing technique in this field.
Advanced OFDM System for Modern Communication Networks
Dr. P R Yadav, Pro. Anil Mishra, Sushil Kumar Chaturvedi
DOI: 10.17148/IJIREEICE.2015.3625
Abstract: Orthogonal frequency division multiplexing (OFDM) is a form of digital modulation used in a wide array of communications systems. This paper will explain what OFDM is, why it’s important, where it’s used, and what test instrumentation is required to maintain it. Perhaps we should first explain what is so special about OFDM. Three things stand out. OFDM is spectrally efficient, carrying more data per unit of bandwidth than such services as GSM and W- CDMA. Figure 1 shows a comparison of the spectral efficiency of the leading cellular technologies and how they compare to WLAN and WiMAX. Fourth Generation technology, often referred to as the Long Term Evolution of wireless (LTE) and Ultra Mobile Broadband (UMB) for cellular devices, plans to use OFDM or OFDMA. Orthogonal frequency division multiplexing (OFDM) has become one of the most important modulation methods in many fields, such as high-speed communication systems. It is proposed that OFDM technique can offer variable bandwidth, improved protection to shadow and multipath fading and enhanced robustness thanks to the insertion of the guard interval. In this paper, we introduced the principles of OFDM at first, then analyses the Advantage and disadvantages of OFDM system, and finally discussed its application in contemporary high-speed communication systems, especially in wireless mobile networks.
Direct Torque Control of PMSM using Space Vector Modulation
T. Rama Sastry, S. Harish, M.Sudheer Kumar
DOI: 10.17148/IJIREEICE.2015.3626
Abstract: The direct torque control of permanent magnet synchronous motor using space vector pulse width modulation technique and fuzzy controller is presented in this paper. It is compared with the conventional DTC. In PMSM the electromagnetic torque is directly proportional to the angle between stator and rotor flux linkages. This angle can be controlled by controlling the stator flux linkages. The stator flux linkages can be controlled by controlling the stator voltage vector, which can be controlled by controlling the switching frequency of the inverter. The DTC- SVM and DTC-Fuzzy controller is implemented in MATLAB / simulation.
Power Quality Improvement by Fuzzy Logic based Series Active Power Filter
Shrimali Suhag A, Prof. R. A. Patel, Prof. H. V. Hirvaniya
DOI: 10.17148/IJIREEICE.2015.3627
Abstract: Power quality (PQ) is one of the most important issues of modern electrical distribution. The series active filter can play a very significant role in the correction of PQ problems such as voltage unbalance, sag, interruption. This paper deals with the determination of voltage references for series active power filter based on a robust three-phase digital locked loop (PLL) system. Fuzzy logic controller is studied and in order to assure good reliability. The robustness of the regulators allows the PLL operating under non ideal conditions and provides good results under unbalanced and/or distorted supply voltages conditions. Simulation results are presented to confirm the validity of the proposed design.
Keywords: Power Quality, Series Active Power Filter, Fuzzy Logic Control
Use of Nonlocal Spectral for the Spatial Structured Sparse Representation of the Hyper spectral Imagery Restoration
Nikhil R. Kumbhar, Pratima P. Gumaste
DOI: 10.17148/IJIREEICE.2015.3628
Abstract: In this paper, a sparse representation of noise reduction method for hyper spectral imagery is developed, which is dependent on the assumption that the non-noise component in an observed signal can be sparsely decomposed over a redundant dictionary while the noise component does not have this property. Non locality means the self- similarity of image, by which a whole image can be partitioned into some groups containing similar patches. The similar patches in each group are sparsely represented with a shared subset of atoms in a dictionary making true signal and noise more easily separated.Sparse representation with spectral-spatial structure can exploit spectral and spatial joint correlations of hyper spectral imagery by using 3-D blocks instead of 2-D patches for sparse coding, which also makes true signal and noise more distinguished. Moreover, hyper spectral imagery has both signal independent and signal-dependent noises, so a mixed Poisson and Gaussian noise model is used. In order to make sparse representation be insensitive to the various noise distributions in different blocks, a variance-stabilizing transformation (VST) is used to make their variance comparable.
New OTA-C Current-Mode Second-order and Fourth-Order Band-Pass Filters
Dattaguru V. Kamath
DOI: 10.17148/IJIREEICE.2015.3629
Abstract: In this paper, a general two-admittance current-mode circuit structure using Dual-Output OTA (DO-OTA) is explored to derive new second-order and fourth-order band-pass filters. The proposed second-order band-pass filtercircuits offer advantageous features like ease of design, good sensitivity and orthogonal tunability of pole-Q. The proposed fourth-order band-pass filtercircuit is attractive as it requires less number of OTAs and capacitors.PSPICE simulation results are given for the proposed circuits.
Performance Analysis of Feed Forward Broadband Active Noise Control System using Adaptive Algorithms
T. Koteswara rao, B.Bhaskara Rao
DOI: 10.17148/IJIREEICE.2015.3630
Abstract: These algorithms have been applied to an extensive number of problems including noise and echo cancelling, channel equalization, signal prediction, adaptive arrays as well as many others. Noise control is the field of acoustical engineering that deals with reducing unwanted sound in the environment An active noise control (ANC) system based on adaptive filter theory was developed in the 1980s; however, only with the recent introduction of powerful but less expensive digital signal processor (DSP) hardware, such as the TMS320 family, these technologies become practical. These specialized DSPs were designed for real-time numerical processing of digitized signals. These devices have enabled the less-cost implementation of powerful adaptive ANC algorithms and encouraged the widespread development of ANC systems. We are presents general background information about ANC methods. Contrasts between passive and active noise control are mentioned. Different types of noise-control algorithms are discussed: feed forward broadband, feed forward narrowband, and feedback algorithms. In this paper detailed design of a simple ANC system using aTMS320 DSP and the implementation of that design.
Keywords: echo cancelling, active noise control, channel equalization, signal prediction
Hardware Implementation of Overvoltage and Under voltage Protection
Manish Paul, Antara Chaudhury, Snigdha Saikia
DOI: 10.17148/IJIREEICE.2015.3631
Abstract: The aim of the project is to make a low voltage and high voltage indicator. The system will save costly electrical and electronic appliances from the adverse effects of very high and very low mains voltages. A project has been proposed on simulating a overvoltage and under-voltage protector, with the hardware. The advantages of our project are -Wide single supply voltage range 2.0 V DC to 36 V DC ,Very low supply current drain (0.8mA) independent of supply voltage , low input biasing current 25mA.,Input common mode voltage range includes ground, differential input voltage range equal to the power supply voltage.
Keywords: Power Quality, Overvoltage, Undervoltage.
Triangular Ring Slot Antenna with DGS for Harmonic Suppression in C-band
Ch. Hanusha, K. LakshmiBhavani
DOI: 10.17148/IJIREEICE.2015.3632
Abstract: A micro-strip fed triangular ring slot antenna with a fundamental mode at 5.5 GHz . to suppress the additional harmonics mode exited by the triangular ring slot , a single inverted U-shaped slot(defected ground structure) is integrated into the triangular ring slot . through this , harmonic suppression over a wide band width 11 and 16 GHz.
Implementation of Channel Hopping Algorithm in Cognitive Radio Network & MANET
V. Srinivasa Rao, G. Padma Ratna
DOI: 10.17148/IJIREEICE.2015.3633
Abstract: Dynamic spectrum access by the unlicensed secondary users (nodes) in the Cognitive Radio Network without harmful (potential) interference to the licensed users is an intelligent and efficient use of the Licensed Spectrum Bands. The nodes in a cognitive radio network(CRN) performs periodic local spectrum sensing & dynamically detects the vacant or unused spectrum around them in the form of free channels or spectrum holes which are used for communication among cognitive radio(CR) nodes. If any vacant channel is detected by the secondary user or CR node, it is strictly the responsibility of the CR node to vacate the channel upon the return of Primary User (PU) so that the Licensed user doesn‟t get any potential interference from the CR user. This paper presents an algorithm called „Vacate on Demand algorithm‟ which performs two main functions.1) Vacating the channel by CR user in case of PU return or after the completion of every sensing interval.2) Moving the CR user to some other vacant channel. After the completion of periodic spectrum sensing activity by CR nodes, based on the sensing results, a ranking table is formed which contains the total channels arranged from bottom to top in the order of Primary User activity. The algorithm uses this ranking table for quickly vacating the occupied channel by CR user in case of PU return & dynamically searches for vacant channel in the ranking table. This paper also compares the expected time to get a free channel in CRN with that of a MANET (Mobile Ad hoc Network).The performance of the above algorithm is analyzed using MATLAB simulation.
Abstract: The paper presents an idea of solar based after pumping system. To fulfill the need of water requirement of an educational institute for different purposes such as drinking, irrigation and other daily requirement the idea is to replace the grid power supply by the solar array system resulting in a huge power saving. The attempts are made to recover the minimum cost of the whole system in minimum years and after that a calculation of revenue is discussed in the work. Keyword: SPV system, DC driven System, AC driven system, Decentralized Application, Environmental benefit.
Analysis of Signal Processing Techniques to Identify Cardiac Disorders
Mrs. V. Rama, Dr. C. B. Rama Rao, Mr.Nagaraju Duggirala
DOI: 10.17148/IJIREEICE.2015.3635
Abstract: World Health Organization (WHO) report says that most of the countries have highest incidence of heart related diseases.If no initiative is taken to check the disease that is the most predictable and preventable among all chronic diseases people around the world will have to suffer due to massive heart attack problem.The Electrocardiogram (ECG) is an important bio-signal representing the electrical activity of the heart. It contains important insight into the state of health and nature of the disease afflicting the heart. Processing of cardiac signal and identifying the cardiac disorders is challenging task in biomedical signal processing. This paper deals with different signal processing techniques that are widely in use for determining what sort of a cardiovascular problem a patient is suffering from. Time domain, Frequency domain and Principal Component Analysis have been done on the ECG with the final goal of understanding which of these methods is the best for the identification of cardiac arrhythmias such as Atrial Fibrillation (AF), Cardiac Ischemia (CI) and Sudden Cardiac Arrest (SCA). ECG data has been obtained from the MIT-BIH cardiac arrhythmia database. The work has been done using MATLAB®.
Abstract: Exposure to air pollutants in ambient air can be harmful to humans. As a result, each country establishes health-based standards and objectives for a variety of air pollutants. The detection and measurement of atmospheric contents is becoming increasingly important. Measurements must be carefully planned. The location of monitoring stations is a major factor that influences the representativeness of data collected. The planning and establishment of a monitoring station is complicated and expensive. To monitor the pollution levels of various pollutants in Coimbatore, an IoT-based real-time air pollution monitoring system is proposed. The geographical area is divided into three zones: industrial, residential, and traffic. This article proposes an Internet of Things (IoT) system that could be deployed anywhere and store the measured value in a cloud database, perform pollution analysis, and display the pollution level at any given location.
Keywords: Air Quality, Air Pollution, Cloud, Cloud Database, Coimbatore, IoT, Nimbus, Sensors, Air Quality Monitoring System.