Electronics 20l5 IEEE Seminar abstracts : IMPROVED SENSORLESS CONTROL SYSTEM

AN IMPROVED SENSORLESS CONTROL SYSTEM OF PERMANENT MAGNET SYNCHRONOUS MOTOR
 Electronics  20l5  IEEE Seminar abstracts : IMPROVED SENSORLESS CONTROL SYSTEM

To improve the performance of permanent magnet synchronous motor sensor less control system, the phase offset caused by the low pass filter must be considering. In this paper, to apply the linear control theory to PMSM system. The introduced control strategy is based on reduced-order observer and adaptive velocity estimation, then proposed a method to compensate the phase offset by group time delay. With proper pole locations of the observer, stability of the position estimation is guaranteed, and stability of the adaptive velocity estimation is also guaranteed by Popov's hyper stability theory. The effectiveness of the method is verified through the SIMULINK modeling and simulation.
Published in:
Date of Conference:
16-17 Jan. 2013
Page(s):
206 - 208
Print ISBN:
978-1-4673-5652-7
INSPEC Accession Number:
13474956
Conference Location :
Hong Kong
Digital Object Identifier :
Publisher:
IEEE


Electronics 20l5 IEEE Seminar abstracts : AN EFFICIENT ALGORITHM FOR A GIVEN LANDING SEQUENCE

AIRCRAFT LANDING PROBLEM: AN EFFICIENT ALGORITHM FOR A GIVEN LANDING SEQUENCE



In this paper, we investigate a special case of the static aircraft landing problem (ALP) with the objective to optimize landing sequences and landing times for a set of air planes. The problem is to land the planes on one or multiple runways within a time window as close as possible to the preferable target landing time, maintaining a safety distance constraint. The objective of this well-known NP-hard optimization problem is to minimize the sum of the total penalty incurred by all the aircraft for arriving earlier or later than their preferred landing times. For a problem variant that optimizes a given feasible landing sequence for the single runway case, we present an exact polynomial algorithm and prove the run-time complexity to lie in O(N^3), where N is the number of aircraft. The proposed algorithm returns the optimal solution for the ALP for a given feasible landing sequence on a single runway for a common practical case of the ALP described in the paper. Furthermore, we propose a strategy for the ALP with multiple runways and present our results for all the benchmark instances with single and multiple runways, while comparing them to previous results in the literature.
Published in:
Date of Conference:
3-5 Dec. 2013
Page(s):
20 - 27
INSPEC Accession Number:
14145809
Conference Location :
Sydney, NSW
Digital Object Identifier :
Publisher:
IEEE

Electronics 20l5 IEEE Seminar abstracts : WIRELESS SENSOR NETWORKS


BEST PATH CLUSTER-BASED ROUTING PROTOCOL FOR WIRELESS SENSOR NETWORKS

BEST PATH CLUSTER-BASED ROUTING PROTOCOL FOR WIRELESS SENSOR NETWORKS

Wireless Sensor Networks are a rapidly growing research area in the field of computers and electronics. WSNs are designed to work for long periods, which is why energy-efficient algorithms are called for to prolong network lifetime. In this paper, a Best Path Cluster-based Routing Protocol is proposed. It is an energy efficient algorithm for WSNs that transmits data through the best path instead of the shortest path (as in most routing protocols), to reduce packet failure rate and enhance energy efficiency in high traffic networks. BPCR is compared to the LEACH algorithm. Simulation results indicate that this protocol outperforms LEACH in terms of energy efficiency, network lifetime, and failure rate by nearly 19%, 19%, and 8% respectively.
Published in:
Date of Conference:
10-12 April 2013
Page(s):
663 - 667
Print ISBN:
978-1-4673-6421-8
INSPEC Accession Number:
13565050
Conference Location :
Cambridge
Digital Object Identifier :
Publisher:
IEEE

Electronics 20l5 IEEE Seminar abstracts : MEDICAL DEVICE LOGS

USING MEDICAL DEVICE LOGS FOR IMPROVING MEDICAL DEVICE DESIGN



User interfaces that employ the same display and buttons may look the same but can work very differently depending on exactly how they are implemented. In healthcare, it is critical that interfaces that look the same are the same. Hospitals typically have many types of visually similar infusion pumps, but with different software versions and variation between pump behavior, and this may lead to unexpected adverse events. For example, when entering drug doses into infusion pumps different results may arise when pushing identical sequences of buttons. These differences arise as a result of subtle implementation differences and may lead to large errors users do not notice. Previous work has explored different implementations of a 5-key interface for entering numbers using a new analysis technique, Differential Formal Analysis, where predictions relating to the distribution of errors in terms of the size of the error (out by 10, out by 100 and so on) can be made. The analysis described in the paperextends this work with models of use based on many hours of actual clinical use data. Specifically, we draw on 1,362 days of use of number entry systems, from 19 infusion pumps over a 3 year period in a UK hospital. The paper also suggests some improvements to medical device logs, which will help further evidence-based improvement to medical device safety.
Published in:
Date of Conference:
9-11 Sept. 2013
Page(s):
56 - 65
INSPEC Accession Number:
13971646
Conference Location :
Philadelphia, PA
Digital Object Identifier :
Publisher:
IEEE

Electronics 20l5 IEEE Seminar abstracts : EVENT DETECTION AND RECOGNITION


EVENT DETECTION AND RECOGNITION USING HMM WITH WHISTLE SOUNDS

EVENT DETECTION AND RECOGNITION USING HMM WITH WHISTLE SOUNDS

In this paper, we propose a new method to detect and recognize events robustly in a soccer game. Based on the players density and speed, the events are detected and recognized using Hidden Markov Model (HMM). However, it is difficult to detect "free kick" and "throw in" because these events occur anytime and anywhere. In a soccer game, some event occurs when the referee blows a whistle or a ball is out of field. Therefore, we improve the detection accuracy of the events such as "free kick" and "throw in" by using these information when they occur. Also, event recognition is performed by an integration method of the results obtained using two types of HMMs: one is for players and the other is for a ball.
Published in:
Date of Conference:
2-5 Dec. 2013
Page(s):
14 - 21
INSPEC Accession Number:
14064357
Conference Location :
Kyoto
Digital Object Identifier :
Publisher:
IEEE




Electronics 20l5 IEEE Seminar abstracts : WIRELESS BODY SENSOR NETWORKS

ASYNCHRONOUS BINARY COMPRESSIVE SENSING FOR WIRELESS BODY SENSOR NETWORKS

ASYNCHRONOUS BINARY COMPRESSIVE SENSING FOR WIRELESS BODY SENSOR NETWORKS


Next-generation Wireless Body Sensor Networks (WBSNs) calls for miniaturization and power-efficient integration for long-term monitoring, real-time diagnostics and patient-centered healthcare solutions. However, state-of-the-art WBSN prototypes remain challenged by stringent power constraints and large form factors. The recently proposed asynchronous compressive sensing scheme suggests an efficient way to improve power consumption by reducing the data volume in energy-hungry radio links. In this paper, we present a modified front-end called Asynchronous Binary Compressive Sensing (ABCS) for WBSNs. A low-cost reconstruction method is proposed that exploits the embedded binary signal structure in the ABCS. By incorporating binary amplitude as a prior, better signal recovery performance is obtained comparing with the traditional approaches. Analyses and simulations with an ECG recording confirm the ABCS front-end outperforms the conventional CS approaches in terms of hardware complexity, power consumption and system flexibility.
Published in:
Date of Conference:
11-13 Dec. 2013
Page(s):
121 - 126
Print ISBN:
978-0-7695-5159-3
INSPEC Accession Number:
14077866
Conference Location :
Dalian
Digital Object Identifier :
Publisher:
IEEE



Electronics 20l5 IEEE Seminar abstracts : TERRAIN SENSING

USING GAIT CHANGE FOR TERRAIN SENSING BY ROBOTS


USING GAIT CHANGE FOR TERRAIN SENSING BY ROBOTS   seminar latest ieee


In this paper we examine the interplay between terrain classification accuracy and gait in a walking robot, and show how changes in walking speed can be used for terrain-dependent walk optimizations, as well as to enhance terrain identification. The details of a walking gait have a great influence on the performance of locomotive systems and their interaction with the terrain. Most legged robots can benefit from adapting their gait (and specifically walk speed) to the particular terrain on which they are walking. To achieve this, the agent should first be capable of identifying the terrain in order to choose the optimal speed. In this work we are interested in analyzing the performance of a legged robot on different terrains and with different gait parameters. We also discuss the effects of gait parameters, such as speed, on the terrain identification computed by a legged robot. We use an unsupervised classification algorithm to classify terrains based on inertial measurement samples and actuator feedback collected over different terrains and operation speeds. We present the effects of speed on the terrain classification in our classification results.
Published in:
Date of Conference:
28-31 May 2013
Page(s):
16 - 22
Print ISBN:
978-1-4673-6409-6
INSPEC Accession Number:
13683331
Conference Location :
Regina, SK
Digital Object Identifier :
Publisher:
IEEE

Advances in Magnetic Field Sensors


The most important milestone in the field of magnetic sensors was when AMR sensors started to replace Hall sensors in many applications where the greater sensitivity of AMRs was an advantage. GMR and SDT sensors finally found applications. We also review the development of miniaturization of fluxgate sensors and refer briefly to SQUIDs, resonant sensors, GMIs, and magnetomechanical sensors.In recent years, anisotropic magnetoresistive (AMR) sensors with integrated flipping and feedback coils have become standard off-the-shelf devices for use in medium-accuracy applications such as compasses for mobile devices. After many years of development, giant magnetoresistive (GMR) sensors have finally found applications in angular sensing. Spin-dependent tunneling (SDT) devices are used for applications that require the smallest sensor size. Exciting improvements have been achieved in the sensitivity of resonance magnetometers, but most of the new devices are still in the laboratory phase.

Despite the recent achievements in giant magnetoimpedance (GMI) sensors and orthogonal fluxgates, these devices are still far from the parameters achieved by classical longitudinal fluxgate sensors. The development of magnetic sensor technology has been slow and gradual. Most breaking news about nanosensors with picotesla resolution has turned out to be a bubble. Exaggerated advertisements have resulted in inflated parameters for magnetic devices; we will try to show which factors are critical for real applications of magnetic sensors.

Flux Concentrators


Magnetic flux concentrators (also called flux intensifiers, diverters, or controllers) are made from high permeability, low-power-loss materials. They are routinely used in induction heat treating applications (Fig.1) in a manner similar to that of magnetic cores in power transformers. There are three traditional functions of flux concentrators in induction hardening: (a) providing a selective heating of certain areas of the work piece; (b) improving the electrical efficiency of the induction coil; and (c) acting as an electromagnetic shield to prevent the undesirable heating of adjacent regions. In some cases, magnetic flux concentrators are credited with turning a seemingly impossible development task into a fairly reasonable one. The basic information about magnetic flux concentrators and concentrator materials, and provides design and selection guidelines for their use in induction heat treating.


Without a concentrator, the magnetic flux would spread around the coil or current carrying conductor and link with the electrically conductive surroundings (auxiliary equipment, metal supports, tools, and fixtures, for example). The concentrator forms a magnetic path to channel the coil’s main magnetic flux in a well-defined area outside the coil.1.
The current distribution in an isolated conductor is shown in Fig. 2(a). The current redistribution within this conductor when it is in close proximity to an electrically conductive work piece is shown in Fig. 2(b). Due to the proximity effect, a significant part of the conductor’s current will flow near the surface that faces the load (the “open surface” of the coil). The balance of the current will be concentrated in the sides of the conductor.

When a magnetic flux concentrator is placed around the work piece, practically all of the current in the coil will be concentrated on the open surface. The concentrator “squeezes” the current to that surface, as shown in Fig. 2(c). This is called a slot effect.1 concentrating the current within the surface of the coil that faces the work piece improves coil-to-work piece magnetic coupling, which results in improved coil electrical efficiency. A reduction in required coil power also can be attributed to the flux concentrator’s ability to localize the magnetic field, as shown in Fig. 2(d). By preventing a major portion of the field from propagating behind it, the concentrator localizes the heated area. As a result, the heated mass of metal will be smaller, which means that less power will be needed to accomplish the required heat treatment.

AMR Sensors

One of the most widely deployed magnetic field sensors is the AMR sensor. AMR stands for anisotropic magnetoresistance. In contrast to GMR sensors („giant magnetoresistance“), which require complex multilayer systems, the AMR sensor is characterized by its simplicity. It consists of a thin permalloy layer and metal stripes (so-called barber poles) which cause a linearization of the sensor characteristics. The spontaneous magnetization lies in the easy axis direction which is fixed by shape anisotropy. A magnetic field along the heavy axis (perpendicularly to the easy axis) provides a rotation of the magnetization in the permalloy strip and thus a change of its resistance.

AMR sensors are nowadays commercially available from various manufacturers, either as primary magnetic field sensors or – in combination with integrated readout electronics – as e.g. rotation speed sensors. In collaboration with different manufacturers we characterize AMR sensors, especially with regard to the noise performance. In addition, we fabricate our own AMR sensors with the goal to tailor magnetometers for various applications where the very low noise of SQUIDs or fluxgate magnetometers is not needed. Furthermore, we want to investigate the influence of fabrication and geometrical parameters on the sensor noise. The perm alloy films are deposited by rf sputtering, the metal layers for the barber poles and contact pads are deposited either by sputtering of thermal evaporation. Patterning is performed with conventional photolithography in combination with wet-chemistry of Ar plasma etching. In order to characterize the AMR sensors an automated measurement setup was built. A typical sensor characteristic of an AMR sensor without barber poles fabricated without an additional annealing treatment is depicted in the figure below.


Permalloy is the most common material for AMR sensors because it has a relatively large magnetoresistance and because its characteristics are compatible with the fabrication techniques employed to make silicon integrated circuits. The magnetoresistance of permalloy is less than 4%. As shown in fig-9(a), an integrated sensor normally consists of four perm alloy resistors sputter-deposited on a silicon substrate to form a bridge. An offset voltage in a magnetoresistive bridge can arise from the inherent resistance of the four resistors that are not precisely matched. In designing anisotropic magnetoresistance bridges, one can use a method that greatly reduces the offset from mismatches in the four resistors.
This set/reset method is illustrated in fig-9(b). By changing the direction of the magnetization in the thin film, the bridge output changes sign. Fig-9(b) shows the bridge voltage produced from an applied field when the magnetization is set in one direction and then reversed (reset). This setting of the magnetization is done by applying a strong magnetic field for a short time along the direction desired. By subtracting the voltage reading when the sensor is in the reset mode from the voltage reading in the set mode, the inherent resistance and its noise (such as temperature effects) is cancelled and the resulting value represents twice the output for the applied field measurement. Typical AMR sensors have a sensitivity range of 103 to 5 × 106 nT with open-loop readout electronics. With closed-loop feedback readout electronic methods, the minimum detectable field can be reduced to better than 0.1 nT for limited bandwidths.

Magnetic Feedback

Another technique for improving the accuracy of any magnetic sensor is feedback compensation of the measured field. Modern AMR sensors have an integrated flat feedback coil, which simplifies the magnetometer design, but may also cause new design problems, as the compensating field is much less homogeneous than that of a solenoid–this may cause linearity error. The temperature coefficient of sensitivity of a typical AMR sensor may be reduced from 0.25%/K to 0.01%/K by using negative feedback with a sufficient gain; the remaining temperature dependence is due to the temperature coefficient of the field factor of the feedback coil. The temperature coefficient of the offset remains the same (typically 10 nT/K, but varies from piece to piece, even between sensors from the same batch), as feedback has no effect on this parameter. With feedback compensation, the linearity error may be below 300 ppm of the full-scale

The Quantum Mechanics of GMR

To understand how GMR works on the atomic level, consider the following analogies: If a person throws a ball (analogous to a conduction electron) between two sets of rollers turning the same direction (analogous to parallel spin-aligned magnetic layers), the ball tends to go through smoothly. But if the top and bottom rollers turn in opposite directions, the ball tends to bounce and scatter. Alternatively, the GMR effect may be compared to light passing through polarizes. When the polarizers are aligned, light passes through; when their optical axes are rotated with respect to each other, light is blocked.
The resistance of metals depends on the mean free path of their conduction electrons, which, in GMR devices, depends on the spin orientation. In ferromagnetic materials, conduction electrons either spin up when their spin is parallel to the magnetic moment of the ferromagnet, or spin down when they are antiparallel. In nonmagnetic conductors, there are equal numbers of spin-up and spin-down electrons in all energy bands. Because of the ferromagnetic exchange interaction, there is a difference between the number of spin-up and spin-down electrons in the conduction bands. Quantum mechanics dictates that the probability of an electron being scattered when it passes into a ferromagnetic conductor depends on the direction of its spin. In general, electrons with a spin aligned with the majority of spins in the ferromagnets will travel further without being scattered.
In a GMR spintronic device, the first magnetic layer polarizes the electron spins. The second layer scatters the spins strongly if its moment is not aligned with the polarizer’s moment. If the second layer’s moment is aligned, it allows the spins to pass. The resistance therefore changes depending on whether the moments of the magnetic layers are parallel (low resistance) or antiparallel (high resistance).
Optimal layer thicknesses enhance magnetic-layer antiparallel coupling, which is necessary to keep the sensor in the high-resistance state when no field is applied. When an external field overcomes the antiparallel coupling, the moments in the magnetic layers align and reduce the resistance. If the layers are not the proper thickness, however, the coupling mechanism can destroy the GMR effect by causing ferromagnetic coupling between the magnetic layers.

References

[1] Magnetic Sensors and Magnetometers, P. Ripka, Ed. New York: Artech, 2001.
[2] P. Ripka, “Sensors based on bulk soft magnetic materials: Advances and challenges,” JMMM, vol. 320, pp. 2466–2473, 2008.
[3] R. S. Popovic, Hall Effect Devices. London, U.K.: Institute of Physics, 2004.
[4] P. Leroy, C. Coillot, V. Mosser, A. Roux, and G. Chanteur, “Use of magnetic concentrators to highly improve the sensitivity of Hall effect sensors,” Sensor Lett., vol. 5, pp. 162–166, 2007.



Infrared Plastic Solar Cell


Nanotechnology is the nexus of sciences. Nanotechnology is the engineering of tiny machines - the projected ability to build things from the bottom up using techniques and tools being developed today to make complete, highly advanced products. It includes anything smaller than 100 nanometers with novel properties. As the pool of available resources is being exhausted, the demand for resources that are everlasting and eco-friendly is increasing day by day. One such form is the solar energy. The advent of solar energy just about solved all the problems. As such solar energy is very useful. But the conventional solar cells that are used to harness solar energy are less efficient and cannot function properly on a cloudy day. The use of nanotechnology in the solar cells created an opportunity to overcome this problem, thereby increasing the efficiency. This paper deals with an offshoot in the advancement of nanotechnology, its implementation in solar cells and its advantage over the conventional commercial solar cell.

In order to the miniaturization of integrated circuits well into the present century, it is likely that present day, nano-scale or nano electronic device designs will be replaced with new designs for devices that take advantage of the quantum mechanical effects that dominate on the much smaller ,nanometer scale . Nanotechnology is often referred to as general purpose technology. That is because in its mature form it will have significant impact on almost all industries and all areas of society. It offers better built, longer lasting, cleaner, safer and smarter products for the home, for ammunition, for medicine and for industries for ages. These properties of nanotechnology have been made use of in solar cells. Solar energy is really an abundant source that is renewable and pollution free. This form of energy has very wide applications ranging from small household items, calculators to larger things like two wheelers, cars etc. they make use of solar cell that coverts the energy from the sun into required form.

Working Of Conventional Solar Cell

Basically conventional type solar cells Photovoltaic (PV) cells are made of special materials called semiconductors such as silicon, which is currently the most commonly used. Basically, when light strikes the cell, a certain portion of it is absorbed within the semiconductor material. This means that the energy of the absorbed light is transferred to the semiconductor. The energy knocks electrons loose, allowing them to flow freely. PV cells also all have one or more electric fields that act to force electrons freed by light absorption to flow in a certain direction. This flow of electrons is a current, and by placing metal contacts on the top and bottom of the PV cell, we can draw that current off to use externally.
For example, the current can power a calculator. This current, together with the cell's voltage (which is a result of its built-in electric field or fields), defines the power (or wattage) that the solar cell can produce. Conventional semiconductor solar cells are made by polycrystalline silicon or in the case of highest efficiency ones crystalline gallium arsenide. But by this type of solar cell, it is observed that, only 35% of the suns total energy falling on it could be judiciously used. Also, this is not so favorable on cloudy days, thus creating a problem. This major drawback led to the thought of development of a new type of solar cell embedded with nanotechnology. The process involved in this is almost the same as explained earlier. But the basic difference lies in the absorption of the wavelength of light from the sun

Infrared Plastic Solar Cell

Scientists have invented a plastic solar cell that can turn the suns power into electric energy even on a cloudy day. Plastic solar cells are not new .But existing materials are only able to harness the sun’s visible light. While half of the sun’s power lies in the visible spectrum, the other half lies in the infrared spectrum. The new material is first plastic compound that is able to harness infrared portion. Every warm body emits heat. This heat is emitted even by man and by animals, even when it is dark outside. The plastic material uses nanotechnology and contains the 1st generation solar cells that can harness the sun’s invisible infrared rays. This breakthrough made us to believe that plastic solar cells could one day become more efficient than the current solar cell.

The researchers combined specially designed nano particles called quantum dots with a polymer to make the plastic that can detect energy in the infrared. With further advances the new PLASTIC SOLAR CELL could allow up to 30% of sun’s radiant energy to be harnessed completely when compared to only 6% in today plastic best plastic solar cells. A large amount of sun’s energy could be harnessed through solar farms and used to power all our energy needs. This could potentially displace other source of electrical production that produce green house gases like coal. Solar energy reaching the earth is 10000 times than what we consume.
If we could cover 0.1% of the earth’s surface with the solar farms we could replace all our energy habits with a source of power which is clear and renewable. The first crude solar cells have achieved efficiencies of today’s standard commercial photovoltaic’s the best solar cell, which are very expensive semiconductor laminates convert at most, 35% of the sun’s energy into electricity.

Working of Plastic Solar Cell

The solar cell created is actually a hybrid, comprised of tiny nanorods dispersed in an organic polymer or plastic. A layer only 200 nanometers thick is sandwiched between electrodes and can produce at present about .7 volts. The electrode layers and nanorods /polymer layers could be applied in separate coats, making production fairly easy. And unlike today's semiconductor-based photovoltaic devices, plastic solar cells can be manufactured in solution in a beaker without the need for clean rooms or vacuum chambers.ms or vacuum chambers.

The technology takes advantage of recent advances in nanotechnology specifically the production of nanocrystals and nanorods. These are chemically pure clusters of 100 to 100000 atoms with dimensions of the order of a nanometer, or a billionth of a meter. Because of their small size, they exhibit unusual and interesting properties governed by quantum mechanics, such as the absorption of different colors of light depending upon their size. Nanorods were made of a reliable size out of cadmium selenide, a semi conducting material.

Nanorods are manufactured in a beaker containing cadmium selenide, aiming for rods of diameter-7 nanometers to absorb as much sunlight as possible. The length of the nanorods may be approximately 60nanometers.Then the nanorods are mixed with a plastic semiconductor called p3ht-poly-(3-hexylthiophene) a transparent electrode is coated with the mixture. The thickness, 200 nanometers-a thousandth the thickness of a human hair-is a factor of 10 less than the micron-thickness of semiconductor solar cells. An aluminium coating acting as the back electrode completed the device. The nanorods act like wires. When they absorb light of a specific wavelength, they generate an electron plus an electron hole-a vacancy in the crystal that moves around just like an electron. The electron travels the length of the rod until it is collected by aluminium electrode. The hole is transferred to the plastic, which is known as a hole-carrier, and conveyed to the electrode, creating a current.

Improvements

Some of the obvious improvements include better light collection and concentration, which already are employed in commercial solar cells. Significant improvements can be made in the plastic, nanorods mix, too, ideally packing the nanorods closer together, perpendicular to the electrodes, using minimal polymer, or even none-the nanorods would transfer their electrons more directly to the electrode. In their first-generation solar cells, the nanorods are jumbled up in the polymer, leading to losses of current via electron-hole recombination and thus lower efficiency.
They also hope to tune the nanorods to absorb different colors to span the spectrum of sunlight. An eventual solar cell has three layers each made of nanorods that absorb at different wavelength

Conclusion and Future Scope

Plastic solar cells help in exploiting the infrared radiation from the sun's rays. They are more effective when compared to the conventional solar cell. The major advantage they enjoy is that they can even work on cloudy days, which is not possible in the former. They are more compact and less bulky.
Though at present, cost is a major drawback, it is bound be solved in the near future as scientists are working in that direction.
As explained earlier, if the solar farms can become a reality, it could possibly solve the planets problem of depending too much on the fossil fuels, without a chance of even polluting the environment.

References

1. Nanomaterials: Synthesis, Properties and Applications : Edelstein, A. S., Cammarata, R. C., Eds.; Institute of Physics Publishing: Bristol and Philadelphia, 1996.
2. The Coming Era of Nanotechnology ; 1987. Drexler, K. Eric, Doubleday; New York
3. A gentle introduction to the next big idea-Mark A. Ratner, Daniel Ratner.
4. Introduction to nanotechnology- Charles P Poole, Frank J Owens
5. The clean power revolution- Troy Helming

345 Electronics Seminar Topics



  1. High Speed Packet Access HSPA
  2. Paper Battery
  3. HawkEye
  4. Bio Battery
  5. Mobile Train Radio Communication
  6. Face Recognition Using Neural Network
  7. Data Loggers
  8. Concentrating Collectors
  9. Bluetooth Network Security
  10. Artificial Intelligence In Power Station
  11. Embedded System in Aut omobiles
  12. Third Generation Solid State Drives
  13. Security In Embedded Systems
  14. Securing Underwater Wireless Communication Networks
  15. Secure Electronic Voting System Based on Image Steganography
  16. Lunar Reconnaissance Orbiter Miniature RF Technology Demonstration
  17. Bubble Power
  18. Vehicle-to-Grid V2G
  19. E-Waste
  20. Super Capacitor
  21. Smart Antenna
  22. Black-Box
  23. Adaptive Missile Guidance Using GPS
  24. Autonomous Underwater Vehicle
  25. Hydrogen Super Highway
  26. Silicon on Plastic
  27. BlueStar
  28. Intervehicle Communication
  29. Intelligent Wireless Video Camera
  30. Image Coding Using Zero Tree Wavelet
  31. Human-Robot Interaction
  32. Wireless LAN Security
  33. Smart Note Taker
  34. Embedded Web Technology
  35. Electrooculography
  36. Distributed COM
  37. Remote Access Service
  38. Wireless Charging Of Mobile Phones Using Microwaves
  39. 3-Dimensional Printing
  40. Humanoids Robotics
  41. Transparent Electronics
  42. Thermography
  43. Surface Plasmon Resonance
  44. Microwave Superconductivity
  45. Memristor
  46. Earthing transformers For Power systems
  47. Direct Current Machines
  48. Optical Ethernet
  49. DD Using Bio-robotics
  50. Clos Architecture in OPS
  51. 4G Wireless Systems
  52. Wearable Bio-Sensors
  53. Poly Fuse
  54. Non Visible Imaging
  55. Nuclear Batteries-Daintiest Dynamos
  56. MILSTD 1553B
  57. Micro Electronic Pill
  58. MOBILE IPv6
  59. Chip Morphing
  60. Challenges in the Migration to 4G
  61. CAN
  62. BIT for Intelligent system design
  63. A 64 Point Fourier Transform Chip
  64. Anthropomorphic Robot hand: Gifu Hand II
  65. ANN for misuse detection
  66. Adaptive Optics in Ground Based Telescopes
  67. Aluminum Electrolytic Capacitors
  68. IBOC Technology
  69. Honeypots
  70. Immersion Lithography
  71. Grating Light Valve Display Technology
  72. Fractal Antennas
  73. HART Communication
  74. E-Textiles
  75. Electro Dynamic Tether
  76. FPGA in Space
  77. DV Libraries and the Internet
  78. Co-operative cache based data access in ad hoc networks
  79. Mesh Topology
  80. Mesh Radio
  81. Metamorphic Robots
  82. Low Energy Efficient Wireless Communication Network Design
  83. Indoor Geolocation
  84. Wireless DSL
  85. Wireless Microserver
  86. User Identification Through Keystroke Biometrics
  87. Ultrasonic Motor
  88. Virtual Retinal Display
  89. Spectrum Pooling
  90. Signaling System
  91. Ultra Conductors
  92. Self Phasing Antenna Array
  93. Role of Internet Technology in Future Mobile Data System
  94. Service Aware Intelligent GGSN
  95. Push Technology
  96. GMPLS
  97. Fluorescent Multi-layer Disc
  98. Compact peripheral component interconnect (CPCI)
  99. Datalogger
  100. Wideband Sigma Delta PLL Modulator
  101. Voice morphing
  102. VISNAV
  103. Speed Detection of moving vehicle using speed cameras
  104. Optical Switching
  105. Optical Satellite Communication
  106. Optical Packet Switching Network
  107. SATRACK
  108. Crusoe Processor
  109. Radio Frequency Light Sources
  110. QoS in Cellular Networks Based on MPT
  111. Project Oxygen
  112. Polymer Memory
  113. Navbelt and Guidicane
  114. Multisensor Fusion and Integration
  115. MOCT
  116. Mobile Virtual Reality Service
  117. Smart Pixel Arrays
  118. Adaptive Blind Noise Suppression
  119. An Efficient Algorithm for iris pattern
  120. Analog-Digital Hybrid Modulation
  121. Artificial Intelligence Substation Control
  122. Speech Compression - a novel method
  123. Class-D Amplifiers
  124. Digital Audio's Final Frontier-Class D Amplifier
  125. Optical Networking and Dense Wavelength Division Multiplexing
  126. Optical Burst Switching
  127. Bluetooth Based Smart Sensor Networks
  128. Laser Communications
  129. CorDECT
  130. E-Intelligence
  131. White LED
  132. Carbon Nanotube Flow Sensors
  133. Cellular Positioning
  134. Iontophoresis
  135. Dual Energy X-ray Absorptiometry
  136. Pervasive Computing
  137. Passive Millimeter-Wave
  138. RAID
  139. Holographic Data Storage
  140. Organic Display
  141. Symbian OS
  142. Ovonic Unified Memory
  143. Spintronics
  144. E-Commerce
  145. Bio-Molecular Computing
  146. Code Division Duplexing
  147. Orthogonal Frequency Division Multiplexing
  148. Utility Fog
  149. VLSI Computations
  150. Tunable Lasers
  151. HAAPS
  152. Daknet
  153. Digital Light Processing
  154. Free Space Laser Communications
  155. Millipede
  156. Distributed Integrated Circuits
  157. AC Performance Of Nanoelectronics
  158. High Performance DSP Architectures
  159. FinFET Technology
  160. Stream Processor
  161. GPRS
  162. Free Space Optics
  163. FDDI
  164. E-Nose
  165. Embryonics Approach Towards Integrated Circuits
  166. Embedded Systems and Information Appliances
  167. Electronic Data Interchange
  168. DSP Processor
  169. Direct to Home Television (DTH)
  170. Digital Subscriber Line
  171. Digital HUBUB
  172. Crusoe
  173. Bio-metrics
  174. Augmented Reality
  175. Asynchronous Transfer Mode
  176. Artifical Eye
  177. AI for Speech Recognition
  178. Treating Cardiac Disease With Catheter-Based Tissue Heating
  179. Surround Sound System
  180. Space Time Adaptive Processing
  181. Real Time System Interface
  182. Radio Frequency Identification (RFID)
  183. Quantum Dot Lasers
  184. Plasma Antennas
  185. Organic Light Emitting Diode
  186. Narrow Band & Broad Band ISDN
  187. Nanotechnology
  188. Led Wireless
  189. Laser Communication Systems
  190. Josephson Junction
  191. Introduction to the Internet Protocols
  192. Imagine
  193. Cellular Communications
  194. Heliodisplay
  195. Optical Mouse
  196. Time Division Multiple Access
  197. Element Management System
  198. Extended Markup Language
  199. Synchronous Optical Network
  200. Dig Water
  201. CRT Display
  202. Satellite Radio TV System
  203. Robotics
  204. Wireless Application Protocol
  205. Synchronous Optical Networking
  206. Cellular Radio
  207. Optic Fibre Cable
  208. Infinite Dimensional Vector Space
  209. Low Voltage Differential Signal
  210. Plasma Display
  211. GPRS
  212. Landmine Detection Using Impulse Ground Penetrating Radar
  213. NRAM
  214. GSM
  215. Wireless Intelligent Network
  216. Integrated Voice and Data
  217. MEMS
  218. Smart Quill
  219. Automatic Number Plate Recognition
  220. Optical Camouflage
  221. Smart Fabrics
  222. Java Ring
  223. Internet Protocol Television
  224. FireWire
  225. Night Vision Technology
  226. RD RAM
  227. Implementation Of Zoom FFT in Ultrasonic Blood Flow Analysis
  228. Military Radars
  229. Modern Irrigation System Towards Fuzzy
  230. Smart Cameras in Embedded Systems
  231. Spin Valve Transistor
  232. Moletronics- an invisible technology
  233. Laser Communications
  234. Solar Power Satellites
  235. MIMO Wireless Channels
  236. Fractal Robots
  237. Stereoscopic Imaging
  238. Ultra-Wideband
  239. Home Networking
  240. Digital Cinema
  241. Face Recognition Technology
  242. Universal Asynchronous Receiver Transmitter
  243. Automatic Teller Machine
  244. Wavelength Division Multiplexing
  245. Object Oriented Concepts
  246. Frequency Division Multiple Access
  247. Real-Time Obstacle Avoidance
  248. Delay Tolerant Networking
  249. EDGE
  250. Psychoacoustics
  251. Integer Fast Fourier Transform
  252. Worldwide Inter operatibility for Microwave Access
  253. Code Division Multiple Access
  254. Optical Coherence Tomography
  255. Symbian OS
  256. Home Networking
  257. Guided Missiles
  258. AC Performance Of Nanoelectronics
  259. Acoustics
  260. BiCMOS technology
  261. Fuzzy based Washing Machine
  262. Low Memory Color Image Zero Tree Coding
  263. Stealth Fighter
  264. Border Security Using Wireless Integrated Network Sensors
  265. A Basic Touch-Sensor Screen System
  266. GSM Security And Encryption
  267. Design of 2-D Filters using a Parallel Processor Architecture
  268. Software-Defined Radio
  269. Smart Dust
  270. Adaptive Blind Noise Suppression
  271. An Efficient Algorithm for iris pattern
  272. Significance of real-time transport Protocol in VOIP
  273. Storage Area Networks
  274. Quantum Information Technology
  275. Money Pad, The Future Wallet
  276. Robotic Surgery
  277. Swarm intelligence & traffic Safety
  278. Smart card
  279. Cellular Through Remote Control Switch
  280. Terrestrial Trunked Radio
  281. HVAC
  282. Electronics Meet Animal Brains
  283. Satellite Radio
  284. Search For Extraterrestrial Intelligence
  285. Line-Reflect-Reflect Technique
  286. Low Power UART Design for Serial Data Communication
  287. Light emitting polymers
  288. Cruise Control Devices
  289. Boiler Instrumentation and Controls
  290. SPECT
  291. Sensors on 3D Digitization
  292. Asynchronous Chips
  293. Optical packet switch architectures
  294. Digital Audio Broadcasting
  295. Cellular Neural Network
  296. FRAM
  297. Wireless Fidelity
  298. Synthetic Aperture Radar System
  299. Touch Screens
  300. Tempest and Echelon
  301. VoCable
  302. Data Compression Techniques
  303. Fractal Image Compression
  304. Computer Aided Process Planning
  305. Space Shuttles and its Advancements
  306. Space Robotics
  307. Welding Robots
  308. Sensotronic Brake Control
  309. Mobile IP
  310. Power System Contingencies
  311. Lightning Protection Using LFAM
  312. Wideband Sigma Delta PLL Modulator
  313. Bioinformatics
  314. Extreme Ultraviolet Lithography
  315. Animatronics
  316. Molecular Electronics
  317. Cellonics Technology
  318. Cellular Digital Packet Data
  319. CT Scanning
  320. Continuously variable transmission (CVT)
  321. High-availability power systems Redundancy options
  322. IGCT
  323. Iris Scanning
  324. ISO Loop magnetic couplers
  325. LWIP
  326. Image Authentication Techniques
  327. Seasonal Influence on Safety of Substation Grounding
  328. Wavelet transforms
  329. Cyberterrorism
  330. Ipv6 - The Next Generation Protocol
  331. Driving Optical Network Evolution
  332. Radio Network Controller
  333. Wireless Networked Digital Devices
  334. 3- D IC's
  335. Sensors on 3D Digitization
  336. Fuzzy Logic
  337. Simputer
  338. Wavelet Video Processing Technology
  339. IP Telephony
  340. RPR
  341. PH Control Technique using Fuzzy Logic
  342. Multisensor Fusion and Integration
  343. Integrated Power Electronics Module
  344. High Speed Packet Access
  345. GMPLS