i-manager Publications

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

Current Issue Vol. 12 Issue 2

Most Cited

Volume 5 Issue 1 February - April 2016

Research Paper

Reconfigurable Nano Electronic Memories Design for System on Chip

D. Uthirapathi* , R. Karpagam**

* Research Scholar, Anna University, Chennai, India.

** Associate Professor, Department of Electrical and Electronics Engineering, Easwari Engineering College, Chennai, India.

Uthirapathi.D., and Karpagam.R. (2016). Reconfigurable Nano Electronic Memories Design for System on Chip. i-manager's Journal on Embedded Systems, 5(1), 1-8. https://doi.org/10.26634/jes.5.1.8244

Abstract

This paper is mainly focused to design modern semiconductor memory. Now-a-days, the conventional memory design should be implemented in CAD tools. While, the size of the memories that can be generated are still limited to some degree. The proposed memory system will use automatic synthesis approach. The bit density reduction and minimum chip area will be achieved by Reconfigurable CMOL memory array (bad bit omission), combined with error correction code techniques, in Reconfigurable terabyte-scale, hybrid Nano-Device /semiconductor memories, as a function of the nano-device fabrication yield and the micro-to-nano scale ratio. The results prove that by using the best (but hardly practicable) reconfiguration and block size optimization, CMOL memories with a pitch ratio of 10 should overcome purely semiconductor memories in useful bit density if the fraction of spoiled nano-devices is beneath ~15%, while in order to get an order-of-magnitude , the advantage in density, and the number of bad devices have to be below ~2%. For the simple 'Repair Most' technique of bad bit omission, complemented with the Hamming-code error correction. When applied to CMOL memories, the automatic synthesis technique reduces the chip area 'swelling' to just 40% at as many as 0.1% of bad devices. In addition, power and speed of the CMOL memories are estimated. The proposed system determines that Nano-devices are well suited in modern memory system.

References

[1]. Park H, et al. (2000). “Nanomechanical oscillations in a single-C60 transistor”. Nature, Vol. 407, pp. 57-60.

[2]. Shorokhov V V, Johansson P and Soldatov E S, (2002). “Correlated electron tunnelling in the single-molecule nanosystems”. J. Appl. Phys. Vol.91, pp.3049-53.

[3]. Zhitenev N B, Meng H and Bao Z, (2002). “Conductance of small molecular junctions”. Phys. Rev. Lett. Vol. 88, No. 2.

[4]. Park J, et al., (2002). “Coulomb blockade and the Kondo effect in single-atomtransistors”. Nature, Vol. 417, pp. 722-725.

[5]. Kubatkin S, et al., (2003). “Single-electron transistor of a single organic molecule with access to several redox states”. Nature, Vol. 425, pp. 698-701.

[6]. Kuekes P, et al., (2000). Molecular Wire Crossbar Memory. US Patent Specification, #6 128 214.

[7]. Likharev K, (2003). “Electronics below 10 nm”. In Nano and Giga Challenges in Microelectronics (Ed). (Amsterdam: Elsevier), pp 27-68.

[8]. Stan M, et al., (2003). “Molecular electronics: From devices and interconnect to circuits and architecture”. Proc. IEEE, 91 1940-57.

[9]. Chen Y, et al., (2003). “Nanoscale molecular-switch crossbar circuits”. Nanotechnology, Vol. 14, pp. 462-8.

[10]. Zhong Z, et al., (2003). “Nanowire crossbar arrays as address decoders for integrated nanosystems”. Science, Vol. 302, pp. 1377-9.

[11]. Li C, et al., (2004). “Multilevel memory based on molecular devices”. Appl. Phys. Lett. Vol. 84, pp. 1949-51.

[12]. Fendler J H, (2001). “Chemical self-assembly for electronics applications”. Chem. Mater., Vol. 13, pp. 3196-10.

[13]. Tour J, (2003). Molecular Electronics (Singapore: World Scientific).

[14]. Prince B, (1991). Semiconductor Memories 2 Ed (Chichester: Wiley).

[15]. Chakraborty K, and Mazumder P, (2002). Fault- Tolerance and Reliability Techniques for High Density Random-Access Memories (Upper Saddle River, NJ: Prentice-Hall.

Full Article (HTML)

Pdf

Research Paper

Removal of Impulse Noise in Images Using Adaptive Decision Tree Based Image Denoising

S. Vaishnavi* , G. Sridevi**

* PG Scholar, Department of Electronics and Communication Engineering, Aditya Engineering College, Surampalem, India.

** Associate Professor & HOD, Department of Electronics and Communication Engineering, Aditya Engineering College, Surampalem, India.

Vaishnavi.S., and Sridevi.G. (2016). Removal of Impulse Noise in Images Using Adaptive Decision Tree Based Image Denoising. i-manager's Journal on Embedded Systems, 5(1), 9-18. https://doi.org/10.26634/jes.5.1.8246

Abstract

Image Denoising is a method of removal or reduction of noises, that are incurred during the image capturing, image acquisition, and transmission due to the electronic and photometric sources. This paper is mainly focused to design an efficient architecture for removal of random-valued impulse noise from corrupted images. To achieve this, a good image denoising method property is that, it will remove noise while preserving edges is proposed. The proposed methodology is Decision-Tree-Based Denoising Method (DTBDM), which consists of decision tree based impulse detector, to detect the noisy pixel and to locate the edges by an edge preserving filter to reconstruct the intensity values of noisy pixels. Further, it is enhanced by using modified square root Carry Select Adder (SQRT CSA), in order to improve the execution time. Here, the serial adder is replaced with modified square root CSA to reduce computational time and area. So this technique can be used for many real time applications like medical imaging, scanning techniques, face recognition, etc.

References

[1]. Zhou Wang, and David Zhang, (1999). “Progressive switching median filter for the Removal of impulse noise from highly corrupted images”. IEEE Trans Circuits and Systems-II: Analog and Digital Signal Processing, Vol.46, No.1.

[2]. Hwang H., and Haddad R.A., (1995). “Adaptive median filters: New algorithms and results”. IEEE Trans. on Image Processing, Vol.4, No.4, pp.499-502.

[3]. G. Sridevi, and S. Srinivas Kumar, (2016). “Image inpainting models using fractional order anisotropic diffusion”. International Journal of Image, Graphics, and Signal Processing, Vol.8, No.10, pp.1-10.

[4]. S.J. Ko, and Y.H. Lee, (1991). “Center weighted median filters and their applications to image enhancement”. IEEE Trans. Circuits System, Vol.38, pp.984-993.

[5]. A.C. Bovik, T.S. Huang, and D.C. Munson, (1985). “Edge-sensitive image restoration using order constrained least squares methods”. IEEE Trans. Acoust., Speech, Signal Processing, Vol.33, pp.1253-1263.

[6]. T. A. Nodes, and N. C. Gallagher Jr., (1984). “The output distribution of median type filters”. IEEE Trans. Commun., Vol. 32, pp.532-541.

[7]. T. Chen, and H. Wu, (2001). “Adaptive impulse detection using center-weighted median filters”. Signal Processing Lett., Vol.8, No.1, pp.1-3.

[8]. R. Yang, L. Lin, M. Gabbouj, J. Astola, and Y. Neuvo, (1995). “Optimal weighted median filters under structural constraints”. IEEE Trans. Signal Processing, Vol.43, pp.591- 604.

[9]. I. Aizenberg, and C. Butakoff, (2004). “Effective Impulse Detector Based on Rank-Order Criteria”. IEEE Signal Processing Letters, Vol.11, No.3, pp.363-366.

[10]. T. Sun, and Y. Neuvo, (1994). “Detail-Preserving Median Based Filters in Image Processing”. Pattern Recognition Letters, Vol.15, pp.341-347.

[11]. W. Luo, (2006). “An Efficient Detail-Preserving Approach for Removing Impulse Noise in Images”. IEEE Signal Processing Letters, Vol.13, No.7, pp.413-416.

[12]. O.J. Bedrij, (1962). “Carry-Select Adder”. IRE Trans. Electron. Comput., pp.340-344.

[13]. T. Y. Ceiang, and M. J. Hsiao, (1998). “Carry-Select Adder using single ripple carry adder”. Electron. Lett., Vol.34, No.22, pp.2101-2103.

Full Article (HTML)

Pdf

Research Paper

Roadway Powered Moving Electric Vehicles by Using Wireless Power Transfer System

Sabarinathan E.* , E. Manoj**

* Lecturer, Department of Electrical and Electronic Engineering, C.M.S. Group of Institutions, Namakkal, Tamilnadu, India.

** UG Scholar, Department of Electrical and Electronic Engineering, Coimbatore Institute of Technology, Coimbatore, Tamilnadu, India.

Sabarinathan.E., and Manoj.E. (2016). Roadway Powered Moving Electric Vehicles by Using Wireless Power Transfer System. i-manager's Journal on Embedded Systems, 5(1), 19-23. https://doi.org/10.26634/jes.5.1.8247

Abstract

In this paper the design of roadway powered online electric vehicles by using wireless power transfer system is presented. Electric vehicles are charged on the roadway during their motion by the Wireless Power Transfer technology. Wireless Power Transfer (WPT) is the process of transferring power from transmission part into receiver part without passing through any man-made conductive elements interconnecting them. Online electric vehicles works on the principle of ElectroMagnetic Induction (EMI). Electromagnetic Inductive Power Transfer (IPT) is a popular technique of transferring power wirelessly over a short range. The result to be expected in this system is 80% of power transfer efficiency below 26 cm air gap.

References

[1]. C.J. Chen, T.H. Chu, C.L. Lin, & Z.C. Jou, (2010). “A study of loosely coupled coils for Wireless Power Transfer”. IEEE Transaction on Circuits System, Vol. 57, No. 71, pp. 536-540.

[2]. C. Wang, O.H. Stielau, & G.A. Covic, (2005). “Design considerations for a contactless electric vehicle battery charger”. IEEE Transaction on Industrial Electronics, Vol.52, No.5, pp.1308-1314.

[3]. C. Wang, G.A. Covic, & O.H. Stielau, (2004). “Power transfer capability and bifurcation phenomena of loosely coupled inductive power transfer systems”. IEEE Transaction on Industrial Electronics, Vol.51, No.1, pp.148-157.

[4]. G.A. Covic, J.T. Boys, A.M.W. Tam, & J.C.H. Peng, (2008). “Self tuning pick-ups for inductive power transfer”. IEEE Power Electronics Conference, pp.3489-3494.

[5]. H. Abe, H. Sakamoto, & K. Harada, (1998). “A noncontact charger using resonant converter with parallel capacitor of the secondary coil”. IEEE APEC, Vol.1, pp.136-141.

[6]. H.H. Wu, G.A. Covic, & J.T. Boys, (2011). “A series-tuned inductive-power transfer pickup with a controllable ACvoltage output”. IEEE Transaction on Power Electronics, Vol.26, No.1, pp.98-109.

[7]. J. Sallan, J.L. Villa, A. Llombart, & J.F. Sanz, (2009). “Optimal design of ICPT systems applied to electric vehicle battery charge”. IEEE Transaction on Industrial Electronics, Vol.56, No.6, pp.2140-2149.

[8]. J. Shin, S. Shin, Y. Kim, S. Ahn, S. Lee, G. Jung, S.J. Jeon, & D. Ho Cho, (2014). “Design and Implementation of Shaped Magnetic-Resonance-Based Wireless Power Transfer System for Roadway-Powered Moving Electric Vehicles”. IEEE Transaction on Industrial Electronics, Vol.61, No.3.

[9]. S.W. Lee, J. Huh, C.B. Park, N.S. Choi, G.H. Cho, & C.T. Rim, (2010). “On-line electric vehicle using inductive power transfer system”. IEEE Energy Coversion Expo, pp.1598-1601.

[10]. T. Imura & Y. Hory, (2011). “Maximizing air gap and efficiency of magnetic resonant coupling for Wireless Power Transfer using equivalent circuit and Neumann formula”. IEEE Transaction on Industrial Electronics, Vol.58, No.10, pp.4746-4752.

Full Article (HTML)

Pdf

Research Paper

Intelligent Vehicle Accident Alert for Ambulance, Traffic Clearance, and Detecting Stolen Vehicles Using GSM Technology

Manasseh S.*

Assistant Professor, Department of Electronics and Communication Engineering, Sri Venkateswara College of Engineering and Technology (Autonomous), Chittoor, Andhra Pradesh, India.

Manasseh, S. (2016). Intelligent Vehicle Accident Alert for Ambulance, Traffic Clearance, and Detecting Stolen Vehicles Using GSM Technology. i-manager's Journal on Embedded Systems, 5(1), 24-29. https://doi.org/10.26634/jes.5.1.8248

Abstract

Indian traffic is non-lane based and chaotic. In recent years, wireless networks are widely used in the road transportation. The proposed system tracks the location of an emergency vehicle, and provides a green wave to the vehicle. Implementation is adopted using RFID transponders, tags, readers, and wireless technologies. RFID is a profitable system which will provide uninterrupted wireless communication in the network even in all conditions. RFID technology allows several items to be quickly scanned, enabling fast identification of a particular ambulance in the lane and also the stolen vehicles, even when it is surrounded by several other items and proximity sensors to calculate the count of normal vehicles was not attempted in traffic control. RFID access control system controls the entire operation by using RFID readers and RFID tags and processes them into the wireless network by using GSM technology, the type of modem to access the speed of operation without delay by using ZigBee, operating at low-power to perform predefined tasks at all the levels of work configurations. Therefore the proposed system provides a simple, low-cost, and real time smart traffic light control system that aims to overcome many defects and improve the traffic management.

References

[1]. Foroughi, Montazer, and Sabzevari, (2008). “Design of a new urban traffic control system using modified Ant Colony Optimization approach”. Iranian Journal of Science & Technology, Transaction B, Engineering, Vol.32, No.B2, pp.167-173.

[2]. Kevin Collins, and Gabriel-Miro Muntean, (2008). “TraffCon: An Intelligent Traffic Control System for Wireless Vehicular Networks ”. Per formance Engineering Laboratory, RINCE, School of Electronic Engineering, Dublin City University, Dublin, Ireland.

[3]. Madhavi Arora, (2012). “Intelligent Traffic Light Control System using Morphological Edge Detection and Fuzzy Logic”. International Conference on Intelligent Computational Systems (ICICS'2012), pp.7-8.

[4]. Shruthi K R, (2012). “Priority based traffic lights controller using Wireless Sensor Networks”. International Journal of Electronics Signals and Systems (IJESS), ISSN: 2231- 5969, Vol.1, No.4.

[5]. Soohee Han, Junghwan Kim, Choung-Hwan Park, Hee- Cheon Yoon, and Joon Heo, (2009). “Optimal Detection Range of RFID Tag for RFID-Based Positioning System Using the k-NN Algorithm”. Sensors, Vol.9, pp.4543- 4558; doi:10.3390/s90604543.

[6]. N. Kham, and C. Nwe, (2014). “Implementation of modem traffic light control system”. International Journal of Scientific and Research Publications, Vol.4, No.6.

[7]. I. Isa, N. Shaari, A. Fayeez, and N. Azlin, (2014). “Portable Wireless Traffic Light System (PWTLS)”. International Journal of Research in Engineering and Technology, Vol.3, No.2, pp.242-247.

[8]. P. Sinhmar, (2012). “Intelligent traffic light and density control using IR sensors and microcontroller ”. International Journal of Advanced Technology & Engineering Research (lJATER), Vol.2, No.2, pp.30-35.

[9]. E. Geetha, V. Viswanadha, and G. Kavitha, (2014). “Design of intelligent auto traffic signal controller with emergency override”. International Journal of Engineering Science and Innovative Technology (IJESIT), Vol.3, No.4, pp.670-675.

[10]. G. Kavya, and B. Saranya, (2015). “Density based intelligent traffic signal system using PIC microcontroller”. International Journal of Research in Applied Science & Engineering Technology (IJRASET), Vol.3, No.1, pp.205- 209.

[11]. A. Jadhav, B. Madhuri, and T. Ketan, (2014). “Intelligent traffic light control system (ITLCS)”. Proceedings th of the 4 IRF International Conference, Pune, 16.

[12]. Mahmood, F., Azzamul Asar, and Adnan Mahmood, (2006). “GPS and Remote Sensing for Emergency Vehicle Navigation and Communication”. Advances in Space Technologies, 2006 International Conference, Vol. , No., pp.33-36.

[13]. Karmakar, N., Handbook of Smart Antennas for RFID Systems. Wiley-IEEE Press, pp.13 -56.

[14]. Suresh Sharma, Alok Pithora, Gaurav Gupta, Mohit Goel, and Mohit Sinha, (2013). “Traffic Light Priority Control For Emergency Vehicle Using RFID”. International Journal of Innovations in Engineering and Technology, Vol.2, No.2, pp.363-366.

[15]. Rashmi Hegde, Rohith R. Sali, and Indira M.S., (2013). “RFID and GPS based Automatic Lane Clearance System for Ambulance”. International Journal of Advanced Electrical and Electronics Engineering, Vol.2, No.3, pp.102-107.

Full Article (HTML)

Pdf

Review Paper

A Comparative Analysis and Review of Various Air Pollution Monitoring Schemes

Mohd.Tahseenul Hasan* , Vijay S. Chourasia, Sanjay M. Asutkar*

* Research Scholar, Department of Electronics, MIET, Gondia, India.

Assistant Professor, Department of Electronics, MIET, Gondia, India.

* Associate Professor, Department of Electronics, MIET, Gondia, India.

Mohd.Hasan,T., Chourasia,V.S., and Asutkar,S.M. (2016). A Comparative Analysis and Review of Various Air Pollution Monitoring Schemes. i-manager's Journal on Embedded Systems, 5(1), 30-43. https://doi.org/10.26634/jes.5.1.8249

Abstract

Over the years, the researchers have made inroads in the ways in which air pollution monitoring and its assessment has been carried out. The authors have reviewed and analyzed the different schemes or methodologies which have been proposed by different researchers concerned with air pollution monitoring and assessment with a goal of creating a customized system which caters to specific target groups who are armed with relevant information on air pollution on a periodic basis and specifically in form of alarms whenever the need arises. The review has been carried keeping in mind the advantage and the disadvantage of the proposed scheme. In this review, they have tried to analyze only those schemes or methodologies where the researchers have added to subsequent improvement in the existing methodologies and are cost effective and easily implementable. The review includes research papers, publications, web sources, and other available literature with an eye towards providing a comprehensive comparative analysis. Thus they put forward the insights gained from the review.

References

[1]. Kavi K. Khedo, Rajiv Perseedoss, and Avinash Mungur, (2010). “A Wireless Sensor Network Air Pollution monitoring system”. International Journal of Wireless & Mobile Networks (IJWMN), Vol.2, No.2.

[2]. Bruno Andò, Salvatore Baglio, Salvatore Graziani, and Nicola Pitrone (2000). “Models for Air Quality Management and Assessment”. IEEE Transactions on Systems, Man, and Cybernetics-part c: Applications and Reviews, Vol. 30, No. 3.

[3]. Octavian A. Postolache, and P. M. B. Silva Girão (2009). “Smart Sensors Network for Air Quality Monitoring Applications” IEEE Transactions on Instrumentation and Measurement, Vol. 58, No. 9.

[4]. Han Zhi-gang, and Cui Cai-hui H (2009). “The Application of Zigbee Based Wireless Sensor Network and GIS in the Air Pollution Monitoring”. International Conference on Environmental Science and Information Application Technology.

[5]. Santosh Hariharan, (2010). “A Novel Integrated Instrumentation Technique for Air Pollution Monitoring”. International Conference on Environmental Engineering and Applications (ICEEA 2010).

[6]. A. R. Al-Ali, Imran Zualkernan, and Fadi Aloul (2010). “A Mobile GPRS-Sensors Array for Air Pollution Monitoring”. IEEE Sensors Journal, Vol.10, No. 10.

[7]. James J. Q. Yu, Victor O. K. Li, Fellow and Albert Y.S. Lam (2012). “Sensor Deployment for Air Pollution Monitoring Using Public Transportation System”. WCCI 2012 IEEE World Congress on Computational Intelligence June, pp.10-15, 2012 - Brisbane, Australia.

[8]. Abdullah Kadri, Elias Yaacoub, Mohammed Mushtaha, and Adnan Abu-Dayya (2013). “Wireless Sensor Network for Real-Time Air Pollution Monitoring”. 2013 IEEE 1^st International Conference on Communications, Signal Processing and their Applications (ICCSPA).

[9]. Vijay Sivaraman, James Carrapetta, Ke Hu, and Blanca Gallego Luxan (2013). “HazeWatch: A Participatory Sensor System for Monitoring Air Pollution in Sydney”. 8^th IEEE Workshop on Practical Issues in Building Sensor Network Applications.

[10]. Luca Capezzuto, Luigi Abbamonte, Saverio De Vito, Ettore Massera, Fabrizio Formisano, Grazia Fattoruso, Girolamo Di Francia, and Antonio Buonanno (2014). “A Maker Friendly Mobile and Social Sensing Approach to Urban Air Quality Monitoring”. 2014, IEEE Sensors.

[11]. S. Devendra K. Verma, and P. K. Barhai (2014), “Design & Development of WINGSNET (Wireless Intelligent GPS based Sensor Network) System for monitoring Air Pollution and Radiation based on WiFi & WiMAX Communication Network”. IEEE 11^th International Conference on Mobile Ad Hoc and Sensor Systems.

[12]. Abdul Hadi Nograles H, Agbay, Christopher Paolo D, Flores, Ian Steven L., Linsangan, Manuel Jr. A.,Salonga, and John Bethany C (2014). “Low Cost Internet Based Wireless Sensor Network for Air Pollution Monitoring using Zigbee Module”. 2014 IEEE 4^th International Conference on Digital Information and communication Technology and its Applications (DICTAP).

[13]. Suraj Hebbar, Karuppasamy V, Kiran G K, Amit Kumar, A. S Ashwini Kumari, Raghavendra Yasasvi, Amit K. Gupta,Vijay Mishra, Bharadwaj Amrutur, and Navakanta Bhat (2014). “System Engineering and Deployment of Envirobat An Urban Air Pollution Monitoring Device”. IEEE CONECCT 2014.

[14]. Ryuji Koga Megumi Kosaka, and Hiroya Sano (1982). “A Fast Local Monitoring of Dilute NO by a Tunable Laser ”. IEEE Transactions on Instrumentation and Measurement , Vol. IM-31, NO. 2, JUNE.

[15]. Mohammad Jahangir Ikram, Agha Ali Akram, and Mannan Amin, (2005). “A Low-Cost Solution for Urban Air- Pollution Monitoring using Existing Infrastructure and Loosely Connected Ground Based Sensing Equipment”. 2005, IEEE, First International Conference on Information and Communication Technologies (ICICT).

[16]. David C. Wolfe, Jr., and Robert L. Byer (1979). “Air Pollution Monitoring by Computed Tomography”. 1979, IEEE, COMPSAC 79.

[17]. J.J. Wilting and H. Van Den Berge (1971). “Air Pollution Monitoring Network in the Netherlands”. IEEE Computer, Vol. 4, No. 4, pp. 22-27.s

[18]. Young Jin Jung, Yang Koo Lee, Dong Gyu Lee, Keun Ho Ryu, and Silvia Nittel (2008). “Air Pollution Monitoring System based on Geosensor Network”. IGARSS 2008, IEEE.

[19]. Nihal Kularatna and B. H. Sudantha (2008). “An Environmental Air Pollution Monitoring System Based on the IEEE 1451 Standard for Low Cost Requirements”. IEEE Sensors Journal, Vol. 8, No. 4.

[20]. Zivorad Mihajlovic,Vladimir Milosavljevic, Vladmir Rajs, and Milos Zivanov (2012). “Appliction of GPRS modules in Data Acquisition and control of devices for Air Quality Monitoring”. 20^th Telecommunications Forum TELFOR 2012, Serbia, Belgrade, November.

[21]. Halit Eren, Ahmed Al-Ghamdi, and Jinhua Luo (2009). “Application of ZigBee for Pollution Monitoring Caused by Automobile Exhaust Gases”. SAS 2009 – IEEE Sensors Applications Symposium, New Orleans, LA, USA.

[22]. Jong-Won Kwon, Yong-Man Park, Sang-Jun Koo, and Hiesik Kimin (2007). “Design of Air Pollution Monitoring System using ZigBee Networks for Ubiquitous-City”. 2007 International Conference on Convergence Information Technology.

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

Current Issue Vol. 12 Issue 2

Most Read

Most Cited

Volume 5 Issue 1 February - April 2016

Reconfigurable Nano Electronic Memories Design for System on Chip

D. Uthirapathi* , R. Karpagam**

* Research Scholar, Anna University, Chennai, India. ** Associate Professor, Department of Electrical and Electronics Engineering, Easwari Engineering College, Chennai, India.

Uthirapathi.D., and Karpagam.R. (2016). Reconfigurable Nano Electronic Memories Design for System on Chip. i-manager's Journal on Embedded Systems, 5(1), 1-8. https://doi.org/10.26634/jes.5.1.8244

Abstract

References

Full Article (HTML)

Pdf

Removal of Impulse Noise in Images Using Adaptive Decision Tree Based Image Denoising

S. Vaishnavi* , G. Sridevi**

* PG Scholar, Department of Electronics and Communication Engineering, Aditya Engineering College, Surampalem, India. ** Associate Professor & HOD, Department of Electronics and Communication Engineering, Aditya Engineering College, Surampalem, India.

Vaishnavi.S., and Sridevi.G. (2016). Removal of Impulse Noise in Images Using Adaptive Decision Tree Based Image Denoising. i-manager's Journal on Embedded Systems, 5(1), 9-18. https://doi.org/10.26634/jes.5.1.8246

Abstract

References

Full Article (HTML)

Pdf

Roadway Powered Moving Electric Vehicles by Using Wireless Power Transfer System

Sabarinathan E.* , E. Manoj**

* Lecturer, Department of Electrical and Electronic Engineering, C.M.S. Group of Institutions, Namakkal, Tamilnadu, India. ** UG Scholar, Department of Electrical and Electronic Engineering, Coimbatore Institute of Technology, Coimbatore, Tamilnadu, India.

Sabarinathan.E., and Manoj.E. (2016). Roadway Powered Moving Electric Vehicles by Using Wireless Power Transfer System. i-manager's Journal on Embedded Systems, 5(1), 19-23. https://doi.org/10.26634/jes.5.1.8247

Abstract

References

Full Article (HTML)

Pdf

Intelligent Vehicle Accident Alert for Ambulance, Traffic Clearance, and Detecting Stolen Vehicles Using GSM Technology

Manasseh S.*

Assistant Professor, Department of Electronics and Communication Engineering, Sri Venkateswara College of Engineering and Technology (Autonomous), Chittoor, Andhra Pradesh, India.

Manasseh, S. (2016). Intelligent Vehicle Accident Alert for Ambulance, Traffic Clearance, and Detecting Stolen Vehicles Using GSM Technology. i-manager's Journal on Embedded Systems, 5(1), 24-29. https://doi.org/10.26634/jes.5.1.8248

Abstract

References

Full Article (HTML)

Pdf

A Comparative Analysis and Review of Various Air Pollution Monitoring Schemes

Mohd.Tahseenul Hasan* , Vijay S. Chourasia**, Sanjay M. Asutkar***

* Research Scholar, Department of Electronics, MIET, Gondia, India. ** Assistant Professor, Department of Electronics, MIET, Gondia, India. *** Associate Professor, Department of Electronics, MIET, Gondia, India.

Mohd.Hasan,T., Chourasia,V.S., and Asutkar,S.M. (2016). A Comparative Analysis and Review of Various Air Pollution Monitoring Schemes. i-manager's Journal on Embedded Systems, 5(1), 30-43. https://doi.org/10.26634/jes.5.1.8249

Abstract

References

Full Article (HTML)

Pdf

* Research Scholar, Anna University, Chennai, India.

** Associate Professor, Department of Electrical and Electronics Engineering, Easwari Engineering College, Chennai, India.

* PG Scholar, Department of Electronics and Communication Engineering, Aditya Engineering College, Surampalem, India.

** Associate Professor & HOD, Department of Electronics and Communication Engineering, Aditya Engineering College, Surampalem, India.

* Lecturer, Department of Electrical and Electronic Engineering, C.M.S. Group of Institutions, Namakkal, Tamilnadu, India.

** UG Scholar, Department of Electrical and Electronic Engineering, Coimbatore Institute of Technology, Coimbatore, Tamilnadu, India.

Mohd.Tahseenul Hasan* , Vijay S. Chourasia, Sanjay M. Asutkar*

* Research Scholar, Department of Electronics, MIET, Gondia, India.

Assistant Professor, Department of Electronics, MIET, Gondia, India.

* Associate Professor, Department of Electronics, MIET, Gondia, India.