A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Dhanasekar, J.
- Design and Control of Autonomous Underwater Vehicle using Variable Buoyancy System
Authors
1 Department of Production Technology, MIT, Anna University, Chrompet, Chennai-600044, IN
Source
Digital Signal Processing, Vol 4, No 9 (2012), Pagination: 419-422Abstract
The autonomous underwater vehicles are operated by power thrust to reach the desired depth. This system consumes more power or thrust and it is overcome by variable buoyancy system. In this project a feedback system is used by employing a control pressure sensor. With the help of this pressure sensor, the depth sensor is to be designed. The signal from the pressure sensor will be used to find the depth of the immersion of autonomous underwater vehicle from the top of the water surface. The signal from the pressure sensor is used to maintain the autonomous underwater vehicle at desired depth level. The sea level pressure is measured with help of pressure sensor. The output of the pressure sensor is an analog signal and is given to the ADC (analog to digital converter) port of microcontroller which takes decision on pumping sequence depending upon the input voltage (the digital value given to it)the microcontroller will control the driver unit to pump either in or out based on control signal. When the required depth level is reached the driver circuits takes some delay and automatically drives the pump out circuit to pump out the water till the preset value is reached. This sequence of pumping in and pumping out of the water will be controlled by the microcontroller for various digital input values.Keywords
Buoyancy, Pressure Sensor Calibration, Depth Control.- Patient Heart Beat Monitoring System Using PIC Microcontroller
Authors
1 Department of ECE, Sri Eshwar College of Engineering, Kinathukadavu, IN
2 Department of ECE, Sri Eshwar College of Engineering, Kinathukadavu, IN
3 Department of ECE, Sri Eshwar College of Engineering, IN
Source
Biometrics and Bioinformatics, Vol 7, No 2 (2015), Pagination: 36-40Abstract
This paper describes the development of a heart rate monitor system based on a microcontroller. It offers the advantage of portability over tape-based recording systems. The paper explains how a single- chip microcontroller can be used to analyze heart beat rate signals in real-time. In addition, it allows doctors to get the heart beat rate file of the patient by e-mail every twenty four hours. It can also be used to control patients or athletic person over a long period. The system reads, stores and analyses the heart beat rate signals repetitively in real-time. The hardware and software design are oriented towards a single-chip microcontroller-based system, hence minimizing the size. The important feature of this paper is the use of zero crossing algorithms to compute heart rate. It then processes on real-time the information to determine some heart diseases.
Keywords
Microsystems, Microcontroller, Real-Time, Heart Rate Monitoring, Zero Crossing Algorithm.- IEEE 802.15.4: A Wireless Communication Technology
Authors
1 Electronics and Communication Engineering, Sri Eshwar College of Engineering, Coimbatore, IN
Source
International Journal of Emerging Trends in Science & Technology, Vol 1, No 3 (2015), Pagination: 37-43Abstract
Wireless Sensor Networks (WSNs) have been attracting increasing interest for supporting a new generation of ubiquitous computing systems with great potential for many applications such as surveillance, environmental monitoring, health care monitoring or home automation. However, the communication paradigms in WSNs differ from the ones associated to traditional wireless networks, triggering the need for new communication protocols. In this context, the IEEE 802.15.4 protocol presents some potentially interesting features for supporting large-scale ubiquitous computing applications, namely power- efficiency, timeliness and scalability. Nevertheless, when addressing applications with (soft/hard) timing requirements some inherent paradoxes emerge, such as powerefficiency versus timeliness. Consequently, there is the need of engineering solutions for an efficient deployment of IEEE 802.15.4 in such scenarios. In this paper, we present some of the most important results on the IEEE 802.15.4 protocol that have been achieved within the context of wireless sensor networks. The paper outlines the most relevant characteristics of the IEEE 802.15.4 protocol and presents the most important research challenges regarding time-sensitive WSN-based applications. Then, it presents some timing performance analysis that unveils some directions for resolving the previously mentioned paradoxes.- Smart Manoeuvring in Mobile Robot for Anti-Personnel IED Detection
Authors
1 Department of Mechatronics Engineering, Bharath University, Chennai-600073, Tamil Nadu, IN
Source
Indian Journal of Science and Technology, Vol 8, No 31 (2015), Pagination:Abstract
Most of landmine detection robots proposed so far have been strongly restricted from locomotion inside the minefield because they cannot cross over the mine. So we have proposed a mine detection robot with hybrid locomotion, which can enter minefield with low ground surface contact, which can cross over the mine instead of changing its path and scan landmines directly using EMI (Electro Magnetic Induction) sensor. The hybrid locomotion proposed in the robot uses the frame walking technique and the conventional wheeled locomotion. The robot switches over the locomotion mechanism from wheeled to leg when mine is detected and vice versa with a lead screw mechanism. The leg locomotion is achieved by frame walking technique where the two frames translate with the help of lead screw mechanism. Very purpose of adopting this combination is to evade anti-personnel landmines which are relatively smaller in comparison to their anti-tank landmine counterparts. With frame walking the robot passes over the mine instead of going around the mine. The robot initially starts in wheeled mode and upon detection of metal, pulls in the frame walking algorithm. The robot also deploys a obstacle avoidance algorithm when working in wheeled mode.Keywords
Anti-Personnel Landmines, Anti-Tank Landmines, Frame Walking, Ground Penetrating Radar, Hybrid Locomotion .- Memristor Emulator Using MCP3208 and Digital Potentiometer
Authors
1 Department of Electronics and Communication Engineering, Sri Eshwar College of Engineering, IN
2 Department of Electronics and Communication Engineering, Dr. Mahalingam College of Engineering and Technology, IN
Source
ICTACT Journal on Microelectronics, Vol 3, No 4 (2018), Pagination: 473-476Abstract
In this paper, we are using memristor emulator made up of a Digital Potentiometer (DigPot) and microcontroller (Arduino). Mostly the emulator is composed of off-the-shelf electronic component. Here we are using MCP3208 microchip. The Arduino which in turn communicates with the digital potentiometer through the Serial Peripheral Interface (SPI). The analog pin in the Arduino is used to read the voltages at terminals of digital potentiometer resistance network. It is built as an Analog to Digital Converter (ADC) on the Arduino. Then the resistance value calculated by using mathematical equation of the memristor. It continuously updates the potentiometer through the serial port based on the calculation of microcontroller. The data is collected through the serial port and displayed on the LCD screen. This can be simulated by using Xilinx ISE software.Keywords
Memristor, Emulator, Digital Potentiometer, Resistor Network, Arduino, Microcontroller.References
- L.O. Chua, “Nonlinear Circuit Foundations for Nanodevices. I. the Four Element Torus”, Proceedings of the IEEE, Vol. 91, No. 11, pp. 1830-1859, 2003.
- J.M. Tour and T. He, “Electronics: the fourth element”, Nature, Vol. 453, pp. 42-43, 2008.
- D. Lin, L. Chua and S.Y. Hui, “The first Man-Made Memristor: Circa 1801”, Proceedings of the IEEE, Vol. 103, No. 1, pp. 131-136, 2015.
- T. Prodromakis, C. Toumazou, L. Chua, “Two Centuries of Memristors”, Nature Materials, Vol. 11, No. 6, pp. 478-481, 2012.
- O. Ageev, Y.F. Blinov, O. Ilin, A. Kolomiitsev, B. Konoplev, M. Rubashkina, V. Smirnov and A. Fedotov, “Memristor Effect on Bundles of Vertically Aligned Carbon Nanotubes Tested by Scanning Tunnel Microscopy”, Technical Physics, Vol. 58, No. 12, pp. 1831-1836, 2013.
- A. Chanthbouala et al., “A Ferroelectric Memristor”, Nature Materials, Vol. 11, No. 10, pp. 860-864, 2012.
- X. Wang, Y. Chen, H. Xi, H. Li, D. Dimitrov, “Spintronic Memristor through Spin-Torque-Induced Magnetization Motion”, IEEE Electron Device Letter, Vol. 30, No. 3, pp. 294-297, 2009.
- L. Chua, “Memristor-the Missing Circuit Element”, IEEE Transactions on Circuit Theory, Vol. 18, No. 5, pp. 517-519, 1971.
- L.O. Chua and S.M. Kang, “Memristive Devices and Systems”, Proceedings of the IEEE, Vol. 64, No. 2, pp. 209-223, 1976.
- Y.V. Pershin and M. Di Ventra, “Memory Effects in Complex Materials and Nanoscale Systems”, Advances in Physics, Vol. 60, No. 2, pp. 145-227, 2011.
- R. S. Williams, “How We Found the Missing Memristor”, IEEE Spectrum, Vol. 45, No. 12, pp. 28-35, 2008.
- S. Shin, K. Kim and S.M. Kang, “Memristor Applications 330 for Programmable Analogics”, IEEE Transactions on Nanotechnology, Vol. 10, No. 2, pp. 266-274, 2011.
- O.A. Olumodeji and M. Gottardi, “Memristor-based Comparator with Programmable Hysteresis”, Proceedings of IEEE 11th Conference on Ph.D. Research in Microelectronics and Electronics, pp. 232-235, 2015.
- O.A. Olumodeji, A.P. Bramanti and M. Gottardi, “A Memristor-based Pixel Implementing Light-to-Resistance Conversion”, Optical Engineering, Vol. 55, No. 2, pp. 54-59, 2015.
- C. Yakopcic, T.M. Taha, G. Subramanyam and S. Rogers, “Memristor-based Unit Cell for a Detector Readout Circuit”, Proceedings of International Conference on Optical Engineering Applications, pp.81651-81656, 2011.
- O.A. Olumodeji, A.P. Bramanti and M. Gottardi, “Memristor-based Pixel for Event-Detection Vision Sensor”, IEEE Sensors Journal, pp. 1-4, 2015.
- O. Olumodeji, A. Bramanti and M. Gottardi, “A Memristive Pixel Architecture for Real-Time Tracking”, IEEE Sensors Journal, Vol. 16, No. 22, pp. 7911-7917, 2016.
- S. Yener and H. Kuntman, “A New CMOS based Memristor Implementation”, Proceedings of IEEE International Conference on Applied Electronics, pp. 345-348, 2012.
- A.I. Hussein and M.E. Fouda, “A Simple MOS Realization of current Controlled Memristor Emulator”, Proceedings of IEEE 15th International Conference on Microelectronics, pp. 1-4, 2013.
- H. Sozen and U. Cam, “New Memristor Emulator Circuit using OTAs and CCIIs”, Analog Integrated Circuits and Signal Processing, Vol. 89, No. 3, pp. 655-663, 2016.
- C. Sanchez-Lopez, J. Mendoza-Lopez, M. Carrasco-Aguilar and C. Muniz-Montero, “A Floating Analog Memristor 355 Emulator Circuit”, IEEE Transactions on Circuits and Systems II: Express Briefs, Vol. 61, No. 5, pp. 309-313, 2014.
- A.G. Alharbi, M.E. Fouda and M.H. Chowdhury, “Memristor Emulator based on Practical Current Controlled Model”, Proceedings of IEEE 58th International Midwest Symposium on Circuits and Systems, pp. 1-4, 2015.
- H. Kim, M.P. Sah, C. Yang, S. Cho, L.O. Chua, “Memristor Emulator for Memristor Circuit Applications”, IEEE Transactions on Circuits and Systems I: Regular Papers, Vol. 59, No. 10, pp. 2422-2431, 2012.
- Y.V. Pershin, M.D. Ventra, “Practical Approach to Programmable Analog Circuits with Memristors”, IEEE Transactions on Circuits and Systems I: Regular Papers, Vol. 57, No. 8, pp. 1857-1864, 2010.
- Y.N. Joglekar, S.J. Wolf, “The Elusive Memristor: Properties of Basic Electrical Circuits”, European Journal of Physics, Vol. 30, No. 4, pp. 661-665, 2009.
- J. Valsa, D. Biolek and Z. Biolek, “An Analogue Model of the Memristor”, International Journal of Numerical Modelling: Electronic Networks, Devices and Fields, Vol. 24, No. 4, pp. 400-408, 2011.
- D.B. Strukov, G.S. Snider, D.R. Stewart and R.S. Williams, “The Missing Memristor Found”, Nature, Vol. 453, pp. 80-83, 2008.
- Y. Ho, G.M. Huang and P. Li, “Dynamical Properties and Design Analysis for Nonvolatile Memristor Memories”, IEEE Transactions on Circuits and Systems I: Regular Papers, Vol. 58, No. 4, pp. 724-736, 2011.
- J. Blanc and D.L. Staebler, “Electrocoloration in SrTIO 3: Vacancy Drift and Oxidation-Reduction of Transition Metals”, Physical Review, Vol. 4, No. 10, pp. 3548-3553, 1971.
- M.P. Sah, C. Yang, H. Kim and L. Chua, “A Voltage 380 Mode Memristor Bridge synaptic Circuit with Memristor Emulators”, Sensors, Vol. 12, No. 3, pp. 3587-3604, 2012.
- Z. Biolek, D. Biolek and V. Biolkova, “Spice Model of Memristor with Nonlinear Dopant Drift”, Radioengineering, Vol. 18, No. 2, pp. 210-214, 2009.
- O.A. Olumodeji and M. Gottardi, “Emulating the Physical Properties of HP Memristor using an Arduino and A Digital Potentiometer”, Proceedings of IEEE 12th Conference on Ph. D. Research in Microelectronics and Electronics, pp. 1-4, 2016.
- L.O. Chua, “The Fourth Element”, Proceedings of the IEEE, Vol. 100, No. 6, pp. 1920-1927, 2012.