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i-manager's Journal on Electronics Engineering (JELE)

Current Issue Vol. 14 Issue 1

An Intelligent Base Link Recovery Management and Path Stability in Clustered Randomly Distributed Mobile Ad Hoc Networks
A High-Performance Dual Classifier Based Packet Classification Engine on FPGA
An Overview of Smart Grid Smart Meters with Fault Detection
Shopping Trolley for Automated Billing System with Pick and Place Mechanism using Image Processing
Flexing Frontiers: Pioneering Advances in Biosensors for Instant Health Insights

Most Cited

Volume 1 Issue 3 March - May 2011

Research Paper

ANFIS Controlled Solar Pumping System

Farhat Mayssa* **

* Diploma Engineer in Electrical and Automation Engineering, National Engineering School of Gabes, Tunisia.

** Professor, Department of Automatic Electrical National Engineering School of Gabès, Tunisia.

Farhat Mayssa and Sbita Lassaad (2011). ANFIS Controlled Solar Pumping System. i-manager’s Journal on Electronics Engineering, 1(3), 1-9. https://doi.org/10.26634/jele.1.3.1419

Abstract

This paper deals with a Photovoltaic (PV) controlled pumping system. The topology is a sunshine PV pumping system which consists of a PV generator (PVG), a DC_DC power electronics converter and a DC motor coupled to a positive displacement pump. The proposed PV pumping system works without storage batteries. Water tank can be used as a storage one such as for irrigation use. The proposed system topology consists of a simple electronic design which is suitable for remote areas. The overall proposed algorithm is built around a Neuro-fuzzy Inference System (ANFIS) DC-DC converter controller yielding to a high efficiency solar pumping system. The purpose of this work is to present a new ANFIS-PV which is designed as a combination of the concepts incorporating Sugeno fuzzy model and neural networks. This last uses directly the PVG current and power as the MPPT controller inputs. Matlab Simulation results are selected and presented to highlight improvement for the overall proposed pumping scheme.

References

[1]. M. R. Khan, A. Iqbal & I. Ashraf (2008). “Artificial Neural Network Model of a 25 kW (Peak) Grid Connected Solar Photovoltaic Power Plant”. i-manager's Journal on Electrical Engineering, Vol. 1, No. 3, pp. 19-24.

[2]. M. Asim, A.Tariq & A. Sarwar (2009). Simulation and Analysis of a Directly Coupled Solar PV Based Water Pumping System. i-manager’s Journal on Electrical Engineering, Vol. 2, no.3.

[3]. M. Farhat & L. Sbita (2011). Advanced Fuzzy MPPT Control Algorithm for Photovoltaic Systems. Science Academy Transactions on Renewable Energy Systems Engineering and Technology, Vol. 1, No. 1, pp. 29-36.

[4]. A. Hamidat & B. Benyoucef (2008). Mathematic models of photovoltaic motor-pump systems. Renewable Energy: 33, pp. 933–942.

[5]. M. Benghanem (2009). Low cost management for photovoltaic systems in isolated site with new IV characterization model proposed. Energy Conversion and Management: 50, pp. 748–755.

[6]. D.V. Ashok Kumar, V. K. Reddy & V. Sankar (2007). Design and Construction of Efficient Solar Sun Tracking System. i-manager's Journal on Future Engineering and Technology, Vol. 2, No. 3, pp.28-34.

[7]. Br. Khiari, A. Selleami and R Andoulsi (2010). MPPT control of Photovoltaic pumping system based on discrete Sliding mode, International Renewable Energy Congress. Sousse, Tunisia, November 5-7, pp. 66-72.

[8]. N. Hidouri, L. Sbita (2010). Water Photovoltaic Pumping System Based on DTC SPMSM Drives, Journal of Electric Engineering: Theory and Application, Vol.1, No. 2, pp. 111-119.

[9]. S. N. Singh, S. Mishra, V. N. Tigga (2010). Design and implementation and development of utility interface adaptive solar power converter for water pumping system in India villages. International Journal of Research and Reviews in App. Sc., Vol. 2, No. 3, p. 253-261.

[10]. M. Datta et al. (2009). A coordinated control method for leveling PV output power fluctuations of PV–Diesel hybrid systems connected to isolated power utility. IEEE Trans. on energy conversion, Vol. 24, No. 1, pp 153-162.

[11]. N. Hidouri, L. Sbita (2010). A new DTC-SPMSM drive scheme for PV pumping system. International Journal of Systems Control, Vol. 1, No. 3, pp. 113-121.

[12]. M. H. Rachid (2004). Power electronics circuits devices and applications, Prentice-Hall of india, third edition, New Delhi, pp. 191-220,

[13]. N. S. Vanitha, R.Sivakumar (2010). A Novel Approach Grid-Connected PV System Employing PID Controller. imanager's Journal on Electrical Engineering, Vol. 3, No. 4. pp. 15-20.

[14]. Kyocera Solar Inc., Solar Water Pump Applications Guide 2001. .

[15]. A. Mellit, A. Kalogirou (2011). ANFIS-based modelling for photovoltaic power supply system: A case study. Renewable Energy: 36, pp. 250-258.

[16]. Y. Chang & C. Chang (2010). A Maximum Power Point Tracking of PV system by scaling fuzzy control. International Multi Conference of engineers Computer Scientists (IMECS) Proceedings , Vol. 2, Hong Kong, March.

[17]. T. N. Khatib, A. Mohamed, N. Amin (2010). An efficient MPPT controller for PV systems using new Boost converter design and improved control algorithm. WSEAS Trans. on Power Systems, Vol. 5, No. 2, pp. 53-63.

[18]. J. K. Bhutto, M. Singh (2004). Performance Improvement of PV System in Irradiation Variations Using MPPT Algorithm. i-manager's Journal on Electrical Engineering, Vol.3, No.4, pp. 8-14.

[19]. A. Daoud, A. Midoun (2010). Comparative evaluation of single sensor based MPPT techniques for Photovoltaic water pumping systems. i-manager's Journal on Electrical Engineering, Vol.3, No.3, pp. 31-39.

[20]. A. B. Yildiz (2008). Large signal analysis of DC motor drive system using state-space averaging technique. Energy Conversion and Management:. 49, pp. 3069–3074.

[21]. A. Hussein, K. Hirasawa, J. Hu (2003). Online identification and control of a PV supplied system by scaling fuzzy control. European Symposium on Artificial Neural Networks, ESANN proceedings, Bruges, Belgium, April 23-25, pp. 173-178.

[22]. S. Thiruvenkadam, A. N. Kumar, A. Sakthivel (2008). Distribution feeder energy conservation by using hybrid Neuro-Fuzzy approach. i-manager's Journal on Electrical Engineering, Vol.1, No. 3, pp. 45-52.

[23]. M. Chaabene, M. Ben Ammar (2008). Neuro-fuzzy dynamic model with Kalman filter to forecast irradiance and temperature for solar energy systems. Renewable Energy: 33, pp. 1435–1443.

[24]. S. Sankar, (2010). Simulation and Application of ANN in Fuzzy logic System. i-manager's Journal on Future Engineering and Technology, Vol. 6, No. 1.pp 44-50.

[25]. M. Alata, M. A. Al-Nimr (2005). Developing a multipurpose sun tracking system using fuzzy control. Energy Conversion and Management: 46, pp. 1229- 1245.

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Research Paper

Low Complexity Multi User Detection Using Decision Feed Back Equalizer

J. Ravindrababu* **

* Associate Professor, Department of Electronics Computer Engineering, Prasad V. Potluri Siddhartha Institute of Technology, Vijayawada.

Assistant Professor, Department of Electronics Computer Engineering, Prasad V. Potluri Siddhartha Institute of Technology, Vijayawada.

* Principal, Sri Mittapalli College of Engineering, Thummalapalem, Guntur.

J. Ravindrababu , P. Venumadhav and E.V. Krishnarao (2011). Low Complexity Multi User Detection Using Decision Feed Back Equalizer. i-manager’s Journal on Electronics Engineering, 1(3), 10-13. https://doi.org/10.26634/jele.1.3.1420

Abstract

This paper implements the transmission and reception of different number of user signals modulated by Binary Phase Shift Keying (BPSK) using CDMA. The transmitting signal goes through the communication channel. It is a medium that is between the transmitter and receiver and is modeled by the impulse response of multi path fading channel and it consists of additive White Gaussian Noise that is AWGN channel. The Decision Feed Back Equalizer (DFE) used to identify different user signals and then demodulates them to get all different user signals. Simulations shows the Decision feedback equalizers (DFE), compared with the Linear equalizers is simulated using MATLAB.

References

[1].Special Issue on the European Path Towards UMTS, IEEE Personal Communications Vol. 2, No. 1, Febr. 1995

[2].A.Johansson,A. Svensson, (1996). “Interference cancellation in multirate DS/CDMA systems,” Submitted to RVK'96, Lulea, Sweden, June.

[3]. R.Schober, W. H. Gerstacker, and A. Lampe, (2002). “No coherent MMSE interference suppression for DSCDMA,” IEEE Trans. Commun., Vol. 50, pp. 577–587, Apr.

[4]. Fang-Biau Ueng, Jun-Da Chen, and Shang-Chun Tsai, Adaptive DS-CDMA Receiver with Code Tracking in Phase Unknown Environments, Student Member, IEEE.

[5]. S.Moshavi, (1996). “Multi-User Detection for DS-CDMA Communications,” IEEE Communications Magazine, pp. 124–136, October.

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Research Paper

Guided and Leaky Modes of a Multilayer Planar Slab Waveguide

S. K. Raghuwanshi* **

* Assistant Professor, Department of Electronics Engineering, Indian School of Mines, Dhanbad, India.

Professor and Head, Department of Electronic Engineering, Indian School Mines, Dhanbad, India.

* Associate Professor, Department of Electronics Communication Engineering, Institute of Engineering &Industrial Technology, Durgapur, India.

S. K. Raghuwanshi, V. Kumar and Radha Raman Pandey (2011). Guided and Leaky Modes of a Multilayer Planar Slab Waveguide. i-manager’s Journal on Electronics Engineering, 1(3), 14-21. https://doi.org/10.26634/jele.1.3.1421

Abstract

Guided/Radiation modes of a multilayer symmetric slab waveguide are treated in detail. Since the slab is assumed to be infinite extended in the plane, all field quantities are considered to be independent of . The analysis is based on modal expansion formulation and the modes can be classified as TE and TM as well as even and odd ones. Applying the boundary conditions at the interfaces, the expansion coefficients of the field components are easily calculated. In addition, the normalization factors, and the orthogonal ties properties are determined by deriving appropriate integrals over the cross-section of the waveguide. Finally the result is validated with some examples.

References

[1]. H. B. Lin, J. Y. Su, P. K. Wei and W. S. Wang, (1994). “Deign and application of very low loss abrupt bends in optical waveguides”, IEEE J. Quantum, Electron., Vol. QE- 30, pp.2827-2835.

[2]. Ajoy Ghatak and K. Thyagarajan, (2007). Introduction to Fiber optics, Cambridge University Press,

[3]. Z. Weissman, A. Hardy and E. Marom, (1989). “Mode dependent radiation loss in Y junctions and directional coupler”, IEEE J. Quantum, Electron., Vol. QE-25, pp. 1200-1208.

[4]. K. Tsutsumi, Y. Imada, H. Hirai and Y. yuba, (1988). “Analysis of single mode optical Y- junction by the bounded step and bend approximation”, J. Lightwave Technol., Vol. LT-6, pp. 590-600.

[5]. S. Safavi-Naeini, Y. L. Chow, S. K. Chaudhuri and A. Goss,(1993). “Wide angle phase-corrected Y-junction of dielectric waveguides for low loss application”, J Lightwave Technol., Vol. LT-11, pp. 567-675.

[6]. D. Khalil, S.Tedjini and P. Benech, (1992). “Asymmetric excitement of symmetric monomode Y-junction: The radiation mode effects of radiation modes in Mach- Zehnder electrooptic modulator”, IEEE Microwave Theory Techn.., vol. MTT-40, pp. 2235-2242.

[7]. D. Marcuse, (1970). “Radiation losses of tapered dielectric slab waveguides”, Bell Syst. Tech. J. Vol. 49, pp. 273-290.

[8]. M. Kuznetsov and H. A. Haus, (1983). “Radiation loss in dielectric waveguide structures by the volume current method”, IEEE J. Quantum, Electron., Vol. QE-19, pp.1505-1515.

[9]. M. Munowitz and D. J. Vezzetti, (1992). “Numerical modeling of coherent coupling and radiation fields in planar Y-branch interferometers”, J Lightwave Technol., Vol. LT-10, pp. 1570-1573.

[10]. R. Baets and P. E. Lagasse, (1982). “Calculation of radiation loss in integrated optic tapers and Y-junctions”, App. Opt., Vol. 21, pp. 1972-1978.

[11]. D. Marcuse, (1991). Theory of Dielectric Optical Waveguides, Academic Press, New Jersey.

[12]. T. Tamir, (1982). Guided wave optoelectronics, Springer Series in Electronic and Photonics.

[13]. D. P. Nyquist, D. R. Johnson and S. V. Hsu, (1981). “Orthogonality and amplitude spectrum of radiation modes along open boundary waveguides”, J. Opt. Soc. Am., Vol. 71, pp. 49-54.

[14]. R. A. Sammut, (1982). “Orthogonality and normalization of radiation modes in dielectric waveguides”, J. Opt. Soc. Am., Vol. 72, pp. 1335-1337.

[15]. C. Vassalo, (1990). “Orthogonality and normalization of radiation modes in dielectric waveguides: an alternate derivation”, J. Opt. Soc. Am., vol. 73, pp. 680-683.

[16]. A. K. Ghatak, K. Thyagarajan and M. R. Shenoy, (1987). “Numerical analysis of planar optical waveguide using matrix approach”, J. Lightwave Technol., Vol. LT-5, pp. 660-666.

[17]. S K Raghuwanshi and S Talabattula, (2008). ”Multilayer thin-film filters" Proceedings of second Int. Conf. on Resource Utilization & Intelligent Systems, pp. 699-703, Perundurai, Erode, T.N., India, 3-5 Jan.

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Research Paper

Performance Analysis of Fair CAC Scheme in Wireless Multimedia Communication Network

V. Saravanan* , M. Vadivel**

* SRR Engineering College, Chennai, India.

** Sathyabama University, Chennai, India.

V. Saravanan and M. Vadivel (2011). Performance Analysis of Fair CAC Scheme in Wireless Multimedia Communication Network. i-manager’s Journal on Electronics Engineering, 1(3), 22-27. https://doi.org/10.26634/jele.1.3.1422

Abstract

Modern wireless network is expected to support multimedia traffic and to provide the very high Quality of service (Qos) in multimedia network, how to ensure the very high Quality of service in multimedia network is the emerging technology. Call Admission Control (CAC) plays an important role in the QoS guarantee of multimedia network. Many CAC schemes aim to satisfying QoS requirement and upgrading network utilization, but they ignore the fairness principle in network. Directly and simple using these CAC schemes, it will appear the phenomenon of unbalance that the narrow band calls block the broad band calls. So, this paper proposes a fair call admission control scheme by introducing call hold control. Numerical results shows that the new scheme not only realizes the balancing accessing machinery to all calls, but also decrease CBP (Call Block Probability) and improves network utilization.

References

[1]. MITRA D, REIMAN M I, WANG J (1998) “Robust Dynamic Admission Control For Unified Cell and Call QoS in Statistical Multiplexers," IEEE JSAC, 6(5), pp.692-707.

[2]. Jihyuk Choi, Taekyoung Kwon, Yanghee Choi, Naghshineh M, (2000). "Call Admission Control For Multimedia Services in Mobile Cellular Networks: a Markov Decision Approach," ISCC', July 2000, pp.594-599.

[3]. C. Chao, W. Chen, (1997). "Connection Admission Control for Mobile Multiple class Personal Communications Networks,". IEEE J. on Selected Areas in Communications, 15(8), pp. 1618-1626.

[4]. Y. Xiao, C. L. P. Chen, and Y. Wang, (2001). "Optimal Admission Control for Multi-class of Wireless Adaptive Multimedia Services " ,IEICE Transactions on Communications, Vol. E84-B, No. 4, April , pp.795-804.

[5]. Logothetis M D, Kokkinakis G K, (2000). "Path Bandwidth Management for Large Scale Telecom Networks, "IEICE Trans Commun, E83-B(9), pp.2087-2099.

[6]. C. Oliviera, J. Kim, and T. Suda, (1998). "An Adaptive Bandwidth Reservation Scheme for High Speed Multimedia Wireless Networks," IEEE J. Selected Areas in Comm., vol. 16 , pp. 858-874.

[7]. Yuan-Cheng Lai, Yu-Dar Lin, (2002). "A Fair Admission Control for Large Bandwidth Multimedia Applications," 22nd International Conference on Distributed Computing Systems Workshops, July, pp.317 322.

[8]. Redana, S., and Capone, A., (2002).“Received Power Based Call Admission Control Techniques for UMTS uplink,” IEEE on Vehicular Technology Conference, pp 430-435, Sept.

[9]. Shin. S., Cho, C., and Sung, D., (1999). “Interference- Based Channel Assignment for DS-CDMA cellular systems,” IEEE Transaction on Vehicular Technology, Vol. 48, No. 1, pp. 233-239, Mar.

[10]. Liu, K and Zarki, E., (1994). “SIR-based Call Admission Control for DS-CDMA cellular systems,” IEEE Journal on Selected Areas of Communication, Vol. 12, No 5, pp. 638- 644, Jan.

[11]. Kim, K., and Han, Y., (1999). "A Call Admission Control Scheme for Multi-Rate Traffic Based on Total Received Power," IEICE Transaction on Communications, Vol. E84-B, No 13, PP. 457-463, Mar. 2001 3rd Generation Partnership Project, RF system scenarios, 3G TR 25.942, ec.

[12]. Robert Akl, G., Manju, V., Hedge and Mort Naraghi- Pour, (2005). “Mobility-based CAC algorithm for Arbitrary Call-Arrival Rates in Cdma Cellular System”, IEEE Transation on Vehicular. Technology, Vol. 54, No. 2, pp 639-650, March

[13]. Xing Xu, Sheng Xu (2007). “A Novel Call Admission Control for Multimedia Network” IEEE International Symposium on Microwave, Antenna, Propagation, and EMC Technologies For Wireless Communications pp 1045 - 1047

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Research Paper

A Novel Method for Harmonic Elimination

Sandeep Rode* **

* Assistant professor, Department of Electronics and Telecommunication Sipna's college of Engineering and Technology, Amravati, India.

** Principal, Sipna's college of Engineering and Technology, Amravati, India.

Sandeep Rode and Siddharth Ladhake (2011). A Novel Method For Harmonic Elimination. i-manager’s Journal on Electronics Engineering, 1(3), 28-33. https://doi.org/10.26634/jele.1.3.1423

Abstract

A new filter strategy for harmonic elimination is introduced in this paper. The proposed filter eliminate undesirable harmonic from periodic signal. The proposed approach eliminates all harmonics component from periodic signal and it requires only knowledge of the frequency of the fundamental component. Adaptation process adjusts weights to exactly match amplitude and phase of fundamental frequency component and the outputs of the filter is a harmonics replica and are subtracted from the original composite waveform to eliminate them. The bipolar waveforms are roughly analyzed. The simulation results show that the method can effectively eliminate undesirable harmonics and result in low(less than one percentage) total harmonic distortion (THD).

References

[1]. Ashfaq Ahmed, (2003). “Power Electronics for Technology”, Singapore, Pearson Education Pte. Ltd., pp. 304-312.

[2]. Cyril W. Lander (1993)., Power Electronics, Singapore, McGraw-HILL. International limited , pp 295-333.

[3]. Vladimir Blasko, (2007). “A Novel Method for Selective Harmonic Elimination in Power Electronic Equipment” IEEE Trans.Power Electron.,Vol 22 No.1,pp.223-227 Jan.

[4]. Keliang Zhou,Kay-Soon Low Danwei Wang, (2006). “Zero-Phase Odd-Harmonic Repetitive Controller for a Single-Phase PWM Inverter,” IEEE Trans. Power Electron. Vol. 21 No.1, pp.193-200, Jan.

[5]. Enio R. Ribeiro & Ivo Barbi, (2005). “Harmonic voltage reduction using a series Active filter under different load conditions” IEEE Trans.Power Electron., Vol 21 No.5,pp.1394-1398 sep.

[6]. Emmannel C. Ifeachor & Barrie W. Jervis, (2002). Digital signal processing., Singapore,Pearson Education, pte. Ltd.

[7]. B. Window and S. D. Stearns, (1985). Adaptive signal processing. Englewood cliffs, NJ: Prentice-Hall.

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Research Paper

A Comparison of Different Image Enhancement Techniques

B. Anuradha* , K. Purushotham Prasad*****

* Associate Professor, Dept. of ECE, S. V. U College of Engineering, Tirupati.

Research Scholar, Dept. of ECE, S. V. U College of Engineering, Tirupati.

* B.Tech Students, Dept. of ECE, S. V. U College of Engineering, Tirupati.

B. Anuradha, K. Purushotham Prasad , P. S. Karthik , S. Damodar and S. Srilekha (2011). A Comparison Of Different Image Enhancement Techniques. i-manager’s Journal on Electronics Engineering, 1(3), 34-42. https://doi.org/10.26634/jele.1.3.1424

Abstract

Images are captured at low contrast in a number of different scenarios. Image enhancement algorithms are used in a variety of image processing applications, primarily to improve or enhance the visual quality of an image by accentuating certain features. Image processing modifies pictures to improve them (enhancement, restoration) to prepare suitable images for various applications from raw unprocessed images.Image enhancement improves the quality (clarity) of images for human viewing. Increasing contrast, and revealing details are examples of enhancement operations whereas removing blurring and noise comes under the category Image restoration.

In this paper comparison ofdifferent algorithms are used for image enhancement (histogram equalization, adaptive histogram equalization, continuous histogram equalization, decorrelation stretching, median filtering, negative image and intensity adjustment). In this decorrelation stretching, median filtering and intensity adjustment together gives the best method for enhancing because it not only increases the intensity values but also removes salt-and-pepper noise.

References

[1]. Shaik, F. Giri Prasad, M.N. Rao, J. Abdul Rahim, B. SomaSekhar, (2010). A. “Medical image analysis of electron micrographs in diabetic patients using contrast enhancement”, Mechanical and Electrical Technology (ICMET), 2nd International Conference on10-12,pl 482–485,Sept.

[2]. Rafel. C. Gonzalez And Richards E.Woods, “Digital Image Processing Using MATLAB” Addison-Welsy, Masssachussets.

[3]. Anil K. Jain, “Fundamentals of Digital Image Processing”, Prentice-Hall of India Pvt.Ltd , New delhi.

[4]. S. Jayaraman, S. Esakkirajan and T. Veerakumar, “Digital Image Processing”, Tata McGraw-Hill Education Pvt.Ld,Newdelhi.

[5]. M. Schneider and S. F. Chang. “A Method for signature castion on Digital Images”, I.Pitas. "A Content Based Approach to Image Generation and Authentication”.

i-manager's Journal on Electronics Engineering (JELE)

Current Issue Vol. 14 Issue 1

Most Read

Most Cited

Volume 1 Issue 3 March - May 2011

ANFIS Controlled Solar Pumping System

Farhat Mayssa* **

* Diploma Engineer in Electrical and Automation Engineering, National Engineering School of Gabes, Tunisia. ** Professor, Department of Automatic Electrical National Engineering School of Gabès, Tunisia.

Farhat Mayssa and Sbita Lassaad (2011). ANFIS Controlled Solar Pumping System. i-manager’s Journal on Electronics Engineering, 1(3), 1-9. https://doi.org/10.26634/jele.1.3.1419

Abstract

References

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Low Complexity Multi User Detection Using Decision Feed Back Equalizer

J. Ravindrababu* **

J. Ravindrababu , P. Venumadhav and E.V. Krishnarao (2011). Low Complexity Multi User Detection Using Decision Feed Back Equalizer. i-manager’s Journal on Electronics Engineering, 1(3), 10-13. https://doi.org/10.26634/jele.1.3.1420

Abstract

References

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Guided and Leaky Modes of a Multilayer Planar Slab Waveguide

S. K. Raghuwanshi* **

S. K. Raghuwanshi, V. Kumar and Radha Raman Pandey (2011). Guided and Leaky Modes of a Multilayer Planar Slab Waveguide. i-manager’s Journal on Electronics Engineering, 1(3), 14-21. https://doi.org/10.26634/jele.1.3.1421

Abstract

References

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Performance Analysis of Fair CAC Scheme in Wireless Multimedia Communication Network

V. Saravanan* , M. Vadivel**

* SRR Engineering College, Chennai, India. ** Sathyabama University, Chennai, India.

V. Saravanan and M. Vadivel (2011). Performance Analysis of Fair CAC Scheme in Wireless Multimedia Communication Network. i-manager’s Journal on Electronics Engineering, 1(3), 22-27. https://doi.org/10.26634/jele.1.3.1422

Abstract

References

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A Novel Method for Harmonic Elimination

Sandeep Rode* **

* Assistant professor, Department of Electronics and Telecommunication Sipna's college of Engineering and Technology, Amravati, India. ** Principal, Sipna's college of Engineering and Technology, Amravati, India.

Sandeep Rode and Siddharth Ladhake (2011). A Novel Method For Harmonic Elimination. i-manager’s Journal on Electronics Engineering, 1(3), 28-33. https://doi.org/10.26634/jele.1.3.1423

Abstract

References

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A Comparison of Different Image Enhancement Techniques

B. Anuradha* , K. Purushotham Prasad*****

* Associate Professor, Dept. of ECE, S. V. U College of Engineering, Tirupati. ** Research Scholar, Dept. of ECE, S. V. U College of Engineering, Tirupati. *** B.Tech Students, Dept. of ECE, S. V. U College of Engineering, Tirupati.

B. Anuradha, K. Purushotham Prasad , P. S. Karthik , S. Damodar and S. Srilekha (2011). A Comparison Of Different Image Enhancement Techniques. i-manager’s Journal on Electronics Engineering, 1(3), 34-42. https://doi.org/10.26634/jele.1.3.1424

Abstract

References

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* Diploma Engineer in Electrical and Automation Engineering, National Engineering School of Gabes, Tunisia.

** Professor, Department of Automatic Electrical National Engineering School of Gabès, Tunisia.

* SRR Engineering College, Chennai, India.

** Sathyabama University, Chennai, India.

* Assistant professor, Department of Electronics and Telecommunication Sipna's college of Engineering and Technology, Amravati, India.

** Principal, Sipna's college of Engineering and Technology, Amravati, India.

* Associate Professor, Dept. of ECE, S. V. U College of Engineering, Tirupati.

Research Scholar, Dept. of ECE, S. V. U College of Engineering, Tirupati.

* B.Tech Students, Dept. of ECE, S. V. U College of Engineering, Tirupati.