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i-manager's Journal on Embedded Systems (JES)

Current Issue Vol. 12 Issue 2

Most Cited

Volume 3 Issue 3 August - October 2014

Research Paper

Advanced Embedded Electromagnetic Radiation Monitoring System

S. Venkatesulu* , S. Varadarajan, M. N. Giri Prasad*, A. Chanrda Babu****

* Research Scholor, Jawaharlal Nehru Technological University, Anantapuram, India.

Professor, Sri Venkateswara University, Tirupati, India.

* Professor, Jawaharlal Nehru Technological University, Anantapuram, India.

****Associate Professor, Yogananda Institute of Technology and Science , Tirupati, India.

Venkatesulu.S., Varadarajan.S., Prasad,G.M.N., and Babu,C.A. (2014). Advanced Embedded Electromagnetic Radiation Monitoring System. i-manager’s Journal on Embedded System, 3(3), 1-8. https://doi.org/10.26634/jes.3.3.3295

Abstract

The design and implementation of Advanced Embedded Electromagnetic Radiation Monitoring System (AEERMS) for the monitoring of the non-ionizing Electromagnetic radiation is presented in this paper. AEERMS monitors the exposure of electromagnetic radiations continuously that are radiated from different RF sources. As per the pressing need, there is a tremendous increase in the usage of cellular mobile communications and broadcasting systems, which in turn increases the number of cell towers. All the cell towers together, transmit several tens to hundreds of watts of power, and the continuous exposure to this Electromagnetic (EM) radiation results in severe health problems like Brain Tumor, Blood Brain Barrier, Eye& Hearing etc. A systematic and continuous monitoring of the EM radiation is necessary to regulate the radiation level. The proposed system called AEERMS has the provision for continuous monitoring and display of radiation levels in the mobile network based on their frequency range and stores and/or transfers the data to concerned authorities. The proposed AEERMS was successfully implemented in measuring the radiated power of the received signals with frequency ranges from 80 MHz to 2.5 GHz. In addition to this, system is also capable of scanning all possible frequencies in its vicinity and thus measures the total radiated power for all the signal frequencies. The performance of the AEERMS is validated with BSNL drive test. Tirupati at GSM frequency of 1800.6 MHz and at 3G frequency of 2156 MHz. The AEERMS is set in use under different traffic conditions, viz., normal and busy traffic conditions, at various distances from the cellular base station. It is observed from the measured radiations that, the radiation level in busy hours is larger than that in normal hours, irrespective of the distance from the cellular base station. The radiation levels are indicated by the particular frequency and radiation in terms of power levels. If the radiation level is above -30 dBm, then the monitoring system indicates it as a dangerous level of radiation, and it sends short messages to the concerned authorities indicating about the dangerous level of radiation of particular frequency in a particular place. The radiation levels are taken from BioInitiative (report) 2007 and 2012.

References

[1]. ARM LPC2141/42/44/46/48, Rev. 5-12 August 2011 Product data sheet, 2011, pp.1-456.

[2]. Ashok Kumar et al ( 2013). “Designing of an Equipment for Monitoring Electromagnetic Radiation”, IJMCTR, Vol.1, No.8, pp.21-30.

[3]. Bio-initiative Report (2012). “A Rationale for a Biologically-based Public Exposure Standard for Electromagnetic Fields (ELF and RF)”, pp. 1451-1457.

[4]. Girish Kumar. (2010) “Report On Cell Tower Radiation”,submitted to Secretary, DOT, Delhi.2010, pp.1- 50.

[5]. Installation and configuration: Horizon II macro cell report. pp.1-215.

[6]. Report of the Inter-Ministerial Committee on EMF Radiation, Government of India, Ministry of Communications & Information Technology Department of Telecommunications,2010. pp.1-50.

[7]. P.D. Inskip, R. Tarone. ( 2001). “Cellular-Telephone Use And Brain Tumors”, The New England Journal of Medicine, Vol. 344, No. 2, pp.79-86.

[8]. Mallalieu Kim. (2010). “Report on BVI Radiation Measurement Project”, Communication Systems Group, Department of Electrical and Computer Engineering, The University of the West Indies , pp.1-355.

[9]. Kumar, N and Kumar, G. ( 2009). “Biological effects of cell tower radiation on human body”, ISMOT, Delhi, India, pp. 678-679.

[10]. Liu,W.C. and Hsu C. F, IEE Electronics Letters, Vol.4, No.132005390-391.

[11]. Mobile Telecommunications and Health Research Programme (MTHR) Report 2007. pp.1-345.

[12]. PSI-GPRS/GSM-MODEM/RS232-QB, 2012, pp.1-48.

[13]. Ray,K.P. Hindawi. (2008). Publishing Corporation International Journal of Antennas and propagation, Vol.11,No.6, pp.1-8.

[14]. RF Micro Devices, RF2052 Data sheet, 2012,pp.1-58.

[15].Sabah HawarSaeid. (2003). Proceedings of the 2013 International Conference on Electronics and Communication Systems, pp. 87-90.

[16]. Silicon Laboratories CP2102/9, 2012, pp.1-36.

[17]. Silicon Laboratories Si4362, 2012, pp.1-46.

[18]. Mobile communication radio waves & safety, Department of the telecommunications ministry of communication & IT, Government of India, 2010. pp.1- 35.

[19]. Venkatesulu S, Dr. Varadarajan S and Dr. Giri Prasad, M. N and Dr. Thenappan, S. (2013). “Printed Elliptical Planar Monopole Patch Antenna for wireless communications” 2013 International Conference on Green Computing, Communication and Conservation of Energy (ICGCE). IEEE Xplore Digital Library, pp. 314-319.

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Research Paper

Monitoring and Control of Greenhouse Gases Using Wireless Sensor Network

M. Rubina* , Vijaya Kumar**

* Student, K. S. Rangasamy College of Technology, Tiruchengode, Namakkal, India.

** Assistant Professor, K. S. Rangasamy College of Technology, Tiruchengode, Namakkal, India.

Rubina..M., Vijayakumar.M. (2014). Monitoring And Control Of Greenhouse Gases Using Wireless Sensor Network. i-manager’s Journal on Embedded System, 3(3), 9-17. https://doi.org/10.26634/jes.3.3.3296

Abstract

Certain Greenhouse gases present in the atmosphere cause a serious threat to earth, since it will lead to global warming, ozone depletion etc. The emission of such green house gases should be monitored and controlled. A wireless environment monitoring system with a capability to monitor greenhouse gases such as CO, CO₂ , SO_x , NO_x , and O₂ with environmental parameter is developed in the existing system. But there is no provision for the controlling unit. In the proposed work, a circuit for both the monitoring and controlling of the major greenhouse gases such as CO₂ , SO₂ is designed. So the overall system involves three processes namely, sensing the outlet gas, monitoring the process and controlling the concentration level of the gas. The Electrostatic precipitation method is used as a controlling mechanism, which can collect particles sized 0.1 to 10 microns very efficiently. The developed module is designed and implemented using LabVIEW software.

References

[1]. Anuj Kumar and Gerhard P. Hancke, (2014). “Energy Efficient Environment Monitoring System Based on the IEEE 802.15.4 Standard for Low Cost Requirements”, IEEE Sensors Journal, Vol. 14, No. 8. pp. 2557-2566.

[2]. O. A. Postolache, J. M. D. Pereira, and P.M.B.S.Girao, (2009). “Smart sensors network for air quality monitoring applications,” IEEE Trans. Instrum. Meas., Vol. 58, No. 9, pp. 3253–3262.

[3]. V.Jelicic, M.Magno, D.Brunelli, G.Paci, and L.Benini, (2013). “Context-adaptive multimodal wireless sensor network for energy-efficient gas monitoring,” IEEE Sensors J., Vol. 13, No. 1, pp. 328–338.

[4]. H.Yang, Y.Qin, G.Feng, and H.Ci, (2013). “Online monitoring of geological CO2 storage and leakage based on wireless sensor networks,” IEEE Sensors J., Vol. 13, No. 2, pp. 556–562.

[5] R.Yan, H. Sun, and Y.Qian, (2013). “Energy-aware sensor node design with its application in wireless sensor networks,” IEEE Trans. instrum. Meas., Vol. 62, No. 5, pp. 1183–1191.

[6]. Y. Kim, R. G. Evans, and W. M. Iversen, (2008). “Remote sensing and control of an irrigation system using a distributed wireless sensor network,” IEEE Trans. Instrum. Meas., Vol. 57, No. 7, pp. 1379–1387.

[7]. N.Kularatna and B.H.Sudantha, (2008). “An environmental air pollution monitoring system based on the IEEE 1451 standard for low cost requirements,” IEEE Sensors J., Vol. 8, No. 4, pp. 415–422.

[8]. K.Sohraby, D.Minoli, and T. Znati, (2007). “Wireless Sensor Networks Technology, Protocols and Applications”, Wiley Inter-science, pp. 328.

[9]. J. S. Lee, Y. W. Su, and C. C. Shen, (2007). ”A Comparative Study of Wireless Protocols :Bluetooth, UWB, ZigBee, and Wi-Fi”, Proceedings of the 33rd Annual Conference of the IEEE Industrial Electronics Society (IECON) pp. 46-51.

[10]. Zhou Yiming and Yang Xianglong, (2007). ”A Design of Greenhouse Monitoring Control System Based on ZigBee Wireless Sensor Network”, Proceedings of IEEE International Conference., pp. 2563-2567.

[11]. Krzysztof S. Berezowski, (2012). “The Landscape of Wireless Sensing in Greenhouse Monitoring and Control”, International Journal of Wireless & Mobile Networks (IJWMN), Vol.4, No. 4.pp. 141-154.

[12]. G. Hanrahan, D. G. Patil, and J. Wang, (2004). “Electrochemical sensors for environment monitoring: Design, development, and applications,” J. Environment Monitoring., Vol. 6, No. 8, pp. 657–664.

[13]. Policies to Reduce Greenhouse Gas Emissions in Industry - Successful Approaches and Lessons Learned: Workshop Report OECD and IEA Information Paper,2003.

[14]. Controlling Greenhouse Gas Emissions Generated by the Transport Sector in ECA: Policy Options, Carolina Monsalve.

[15]. Available and Emerging Technologies for Reducing Greenhouse Gas Emissions from Industrial, Commercial, and Institutional Boilers Prepared by the Sector Policies and Programs Division Office of Air Quality Planning and Standards U.S. Environmental Protection Agency, Research Triangle Park, North Carolina 27711,October 2010.

[16]. Capacity needs for green house gases measurement and performance tracking, World Resources Institute, February 2014.

[17]. Amit Nasre, Rucha Barai, Pooja Walde, (2014). “Design of Greenhouse Control System Based on Wireless Sensor Networks Using MATLAB”, Discovery, Vol.19, No.57. pp. 56-58.

[18]. Andrzej Pawlowski, Jose Luis Guzman, Francisco Rodriguez, Manuel Berenguel, Jose Sanchez and Sebastian Dormido, (2009). “Simulation of Greenhouse Climate Monitoring and Control with Wireless Sensor Network and Event-Based Control”, Sensors, Vol.9, No. pp.232-252.

[19]. Ibrahim Al-Adwan, Munaf S. N. Al-D, (2012). “The Use of ZigBee Wireless Network for Monitoring and Controlling Greenhouse Climate”, International Journal of Engineering and Advanced Technology (IJEAT), Vol.2, No.1, pp.35-39.

[20]. Rana H. Hussain, Dr. Ali F. Marhoon, Dr. Mofeed T. Rashid, (2013). “Wireless Monitor and Control System for Greenhouse”, International Journal of Computer Science and Mobile Computing, Vol.2, No. 12, pp. 69-87.

[21]. Rohit.K.Nikhade, S.L.Nalbalwar, (2013). “Monitoring Greenhouse using Wireless Sensor Network”, International Journal of Advanced Computer Research, Vol.3, No.2.

[22]. Denise Michele Wilson, Sean Hoyt, Jiri Janata, Karl Booksh, and Louis Obando, (2001). “Chemical Sensors for Portable, Handheld Field Instruments”, IEEE Sensors Journal, Vol. 1, No. 4.pp.256-274.

[23]. G.D. Pasgianosa, K.G. Arvanitis, P. Polycarpou ,N. Sigrimis, (2003). “A nonlinear feedback technique for greenhouse environmental control”, Computers and Electronics in Agriculture , Elsevier 40, pp. 153-177.

[24]. D. Heon Park and J.-W. Park, (2011). “Wireless Sensor Network-Based Green-house Environment Monitoring and Automatic Control System for Dew Condensation Prevention,” Sensors, Vol. 11, No. 4, pp. 3640–3651.

[25]. D.D.Chaudhary, S.P.Nayse, L.M.Waghmare, (2011). “Application of wireless sensor networks for greenhouse parameter control in precision agriculture”, International Journal of Wireless & Mobile Networks (IJWMN), Vol. 3, No. 1. pp. 140-149.

[26]. Shivasaisomarathi, Akavaram. saispurthyreddy, (2010). “Design of Greenhouse Control System Using Wireless Sensor Networks”, International Journal of Sciences: Basic and Applied Research, Vol 2, No. 1, pp. 1- 8.

[27]. Y W Zhu, X X Zhong and J F Shi , (2006). “The Design of Wireless Sensor Network System Based on ZigBee Technology for Greenhouse”, Journal of Physics: Conference Series 48 , pp.1195–1199.

[28]. A. Rahali , M. Guerbaoui, A. Ed-dahhak, Y. El Afou, A. Tannouche, A. Lachhab, B. Bouchikhi, (2011). “Development of a data acquisition and greenhouse control system based on GSM”, International Journal of Engineering, Science and Technology, Vol. 3, No. 8, pp. 297-306,

[29]. Akin Cellatoglu and Balasubramanian Karuppanan, (2012). “Remote sensing and control for establishing and maintaining digital irrigation”, International Journal of Advanced Information Technology (IJAIT), Vol. 2, No.1.pp.11-25.

[30]. Ward T. Jewell, Fellow, (2008). “Electric Industry Infrastructure for Sustainability: Climate Change and Energy Storage”, IEEE, pp1-3.

[31]. A. Kumar, I. P. Singh, and S. K. Sud, (2011). “Energy efficient and low cost indoor environment monitoring system based on the IEEE 1451 standard,” IEEE Sensors J., Vol. 11, No. 10, pp. 2598–2610.

[32]. A. Kumar, H. Kim, and G. P. Hancke, (2013). “Environmental monitoring system: A review,” IEEE Sensors J., Vol. 13, No. 4, pp. 1329–1339.

[33]. D. M. Wilson, S. Hoyt, J. Janata, K. Booksh, and L. Obando, (2001). “Chemical sensors for portable, handheld field instruments,” IEEE Sensors J., Vol.1, No. 4, pp. 256–274.

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Research Paper

Power Efficient and High Speed Vedic Multiplier Using Subthreshold Adiabatic

M. Bharathi* , D. Sreehari**

* Student, Department of ECE, Siddartha Educational Academy Group of Institutions Integrated Campus, Tirupathi, India.

** HOD, Department of ECE, Siddartha Educational Academy Group of Institutions Integrated Campus, Tirupathi, India.

Bharathi.M., and Sreehari.D. (2014). Power Efficient And High Speed Vedic Multiplier Using Subthreshold Adiabatic. i-manager’s Journal on Embedded System, 3(3), 18-30. https://doi.org/10.26634/jes.3.3.3297

Abstract

Fundamental and the core of all the Digital Signal Processors (DSPs) are its multipliers and speed of the DSPs is mainly determined by the speed of its multipliers. Multiplication is the most fundamental operation with intensive arithmetic computations. Now a days, embedded systems are used for wide range of such applications. The power consumption, performance, and demanding security are the main issues in designing systems. To achieve this, authors combined the sub-threshold operation and charge recovery techniques. Using the technique, lower power consumption, ability of operating at higher frequencies, and more security than the existing logic circuits are achieved. Different methods of algorithms are used in multipliers to increase the performance. In this paper, 4*4 adiabatic multiplier versus 4*4 two phase clocking sub threshold adiabatic multiplier using Vedic mathematics are implemented. The power dissipation of two phase clocking sub threshold adiabatic is low when compared to their adiabatic multipliers. This paper is implemented in HSPICE using 0.18μm CMOS process technology.

References

[1]. Kazunari Kato, Yasuhiro Takahashi, and Toshikazu Sekine, (2014). “Two Phase Clocking Subthreshold Adiabatic Logic in Proc. IEEE pp. 598-601.

[2]. M. Khatir, H. G. Mohammadi, and A. Ejilali, (2010). “Sub-threshold chargerecovery circuits,” in Proc. IEEE Int. Conf. Computer Design, pp. 138-144.

[3]. Jagadguru Swami Sri Bharati Krishna Tirthji Maharaja,(1986), “ Vedic Mathematics”, Motilal Banarsidas, Varanasi, India.

[4]. Human Tharafu M.C. Jayalaxmi. H. Renuka R.K.Ravishankar. M., (2007), “A. high speed block convolution using Ancient Indian Vedic Mathematics”, IEEE International conference on computational intelligence and multimedia applications. Vol 2. pp 169- 173

[5]. A.P. Nicholas, K.R Willaiams, J. Pickles, (2003), “Vertically and Crosswise applications of the Vedic Mathematics Sutra”, MotilalBanarsidass Publishers, Delhi.

[6]. Purushottam D. Chidgupkar and Mangesh T. Karad, (2004). “The Implementation of Vedic Algorithms in Digital Signal Processing”, Global J. of Engng. Educ., Vol.8, No.2 © 2004 UICEE Published in Australia.

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Research Paper

Real Time User-Centric Energy Efficient Scheduling in Embedded Systems

R. Reddi Hemanth* , Madhu Kumar Patnala**

* Student, Department of ECE, Sree Vidyanikethan Engineering College, Tirupati, India.

** Assistant professor, Department of ECE, Sree Vidyanikethan Engineering College, Tirupati, India.

This paper has been retracted due to dual submission.

Research Paper

Efficient Sorting Mechanism for Finding First W Maxima/Minima Values

Kante Raj Kumar* , V. Thrimurthulu**

* PG Scholar, Department of Electronics and Communication Engineering, Chundi Ranganayakulu Engineering College, Tirupathi, India.

** Professor, Department of Electronics and Communication Engineering, Chundi Ranganayakulu Engineering College, Tirupathi, India.

Kumar,K,R., and Thrimurthulu.V. (2014). Efficient Sorting Mechanism For Finding First W Maxima/Minima Values. i-manager’s Journal on Embedded System, 3(3), 39-44. https://doi.org/10.26634/jes.3.3.3299

Abstract

Sorting is a deep-rooted problem in Computer Science and is a means of operation in quite a lot of applications. In this paper, the authors’ have proposed a complete VLSI model of sorting mechanism to find first maxima/minima values using (BWA) Bit Wise and Architecture. In this effort, a parallel radix-sort-based VLSI architecture for finding the first W maximum (or minimum) values is proposed. The described architecture, named Bit-Wise-And (BWA) architecture with an added advantage of high level scalability depends on analyzing input data from the most significant bit to the least significant one, the proposed scheme along with parallel structure has been modelled successfully on Xilinx Virtex -5 Fpga with a simple verilog RTL description.

References

[1]. Guoping Xiao, Maurizio Martina, A parallel radix-sortbased VLSI architecture for finding the first W maximum/minimum values Member IEEE, Gianluca Piccinini. Vol. 61, No. 11, pp. 890-894.

[2]. S. Papaharalabos, P. T. Mathiopoulos, G. Masera, and M. Martina, (2012). “Novel non-recursive max* operator with reduced implementation complexity for turbo decoding,” IET Communications, Vol. 6, No. 7, pp.702–707.

[3]. M. Martina, S. Papaharalabos, P. T. Mathiopoulos, and G. Masera, (2014). “Simplified Log-MAP algorithm for very low-complexity turbo decoder hardware architectures,” IEEE Trans. on Instrumentation and Measurement, Vol. 63, No. 3, pp. 531–537.

[4]. S. Zezza, S. Nooshabadi, and G. Masera, (2013). “A 2.63 Mbit/s VLSI implementation of SISO arithmetic decoders for high performance joint source channel codes,” IEEE Trans. on Circuits and Systems I, Vol. 60,No. 4, pp. 951–964.

[5]. Z. Guo and P. Nilsson, (2006). “Algorithm and implementation of the K-bestsphere decoding for MIMO detection,” IEEE Journal on Selected Areas in Communications, Vol. 24, No. 3, pp. 491–503.

[6]. K. Gunnam, G. Choi, and M. Yeary, (2007). “A parallel VLSI architecturefor layered decoding for array LDPC codes,” in IEEE International Conference on VLSI Design, pp. 738–743.

[7]. D. Oh and K. K. Parhi, (2010). “Min-sum decoder architectures with reduced word length for LDPC codes,” IEEE Trans. on Circuits and Systems I, Vol. 57, No. 1, pp. 105–115.

[8]. C. Condo, M. Martina, and G. Masera, (2013). “VLSI implementation of amulti-mode turbo/LDPC decoder architecture,” IEEE Trans. on Circuitsand Systems I, Vol. 60, No. 6, pp. 1441–1454.

[9]. M. Fossorier, M. Mihaljevic, and H. Imai, (1999). “Reduced complexity iterative decoding of low-density parity check codes based on belief propagation,” IEEE Trans. on Communications, Vol. 47, No. 5, pp. 673–680.

[10]. M. Shabany and P. G. Gulak, (2012). “A 675 mbps, 4x4 64-QAM K-Best MIMO detector in 0.13 um CMOS,” IEEE Trans. on VLSI systems, Vol. 20, No. 1, pp. 135–147.

[11]. B. Wu and G. Masera, (2012). “Efficient VLSI implementation of soft-input soft output fixed-complexity sphere decoder,” IET Communications, Vol. 6, No. 9, pp. 1111–1118.

[12]. E. Boutillon and L. Conde-Canencia, (2010). “Bubble check: a simplified algorithm for elementary check node processing in extended min-sumnon-binary LDPC decoders,” IET Electronics Letters, Vol. 46, No. 9, pp.633–634.

i-manager's Journal on Embedded Systems (JES)

Current Issue Vol. 12 Issue 2

Most Read

Most Cited

Volume 3 Issue 3 August - October 2014

Advanced Embedded Electromagnetic Radiation Monitoring System

S. Venkatesulu* , S. Varadarajan**, M. N. Giri Prasad***, A. Chanrda Babu****

Venkatesulu.S., Varadarajan.S., Prasad,G.M.N., and Babu,C.A. (2014). Advanced Embedded Electromagnetic Radiation Monitoring System. i-manager’s Journal on Embedded System, 3(3), 1-8. https://doi.org/10.26634/jes.3.3.3295

Abstract

References

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Monitoring and Control of Greenhouse Gases Using Wireless Sensor Network

M. Rubina* , Vijaya Kumar**

* Student, K. S. Rangasamy College of Technology, Tiruchengode, Namakkal, India. ** Assistant Professor, K. S. Rangasamy College of Technology, Tiruchengode, Namakkal, India.

Rubina..M., Vijayakumar.M. (2014). Monitoring And Control Of Greenhouse Gases Using Wireless Sensor Network. i-manager’s Journal on Embedded System, 3(3), 9-17. https://doi.org/10.26634/jes.3.3.3296

Abstract

References

Full Article (HTML)

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Power Efficient and High Speed Vedic Multiplier Using Subthreshold Adiabatic

M. Bharathi* , D. Sreehari**

* Student, Department of ECE, Siddartha Educational Academy Group of Institutions Integrated Campus, Tirupathi, India. ** HOD, Department of ECE, Siddartha Educational Academy Group of Institutions Integrated Campus, Tirupathi, India.

Bharathi.M., and Sreehari.D. (2014). Power Efficient And High Speed Vedic Multiplier Using Subthreshold Adiabatic. i-manager’s Journal on Embedded System, 3(3), 18-30. https://doi.org/10.26634/jes.3.3.3297

Abstract

References

Full Article (HTML)

Pdf

Real Time User-Centric Energy Efficient Scheduling in Embedded Systems

R. Reddi Hemanth* , Madhu Kumar Patnala**

* Student, Department of ECE, Sree Vidyanikethan Engineering College, Tirupati, India. ** Assistant professor, Department of ECE, Sree Vidyanikethan Engineering College, Tirupati, India.

This paper has been retracted due to dual submission.

Efficient Sorting Mechanism for Finding First W Maxima/Minima Values

Kante Raj Kumar* , V. Thrimurthulu**

* PG Scholar, Department of Electronics and Communication Engineering, Chundi Ranganayakulu Engineering College, Tirupathi, India. ** Professor, Department of Electronics and Communication Engineering, Chundi Ranganayakulu Engineering College, Tirupathi, India.

Kumar,K,R., and Thrimurthulu.V. (2014). Efficient Sorting Mechanism For Finding First W Maxima/Minima Values. i-manager’s Journal on Embedded System, 3(3), 39-44. https://doi.org/10.26634/jes.3.3.3299

Abstract

References

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S. Venkatesulu* , S. Varadarajan, M. N. Giri Prasad*, A. Chanrda Babu****

* Student, K. S. Rangasamy College of Technology, Tiruchengode, Namakkal, India.

** Assistant Professor, K. S. Rangasamy College of Technology, Tiruchengode, Namakkal, India.

* Student, Department of ECE, Siddartha Educational Academy Group of Institutions Integrated Campus, Tirupathi, India.

** HOD, Department of ECE, Siddartha Educational Academy Group of Institutions Integrated Campus, Tirupathi, India.

* Student, Department of ECE, Sree Vidyanikethan Engineering College, Tirupati, India.

** Assistant professor, Department of ECE, Sree Vidyanikethan Engineering College, Tirupati, India.

* PG Scholar, Department of Electronics and Communication Engineering, Chundi Ranganayakulu Engineering College, Tirupathi, India.

** Professor, Department of Electronics and Communication Engineering, Chundi Ranganayakulu Engineering College, Tirupathi, India.