seminars and paper presentations for ece

WIRELESS LAN SECURITY

http://www.ziddu.com/download/2975603/wlan.doc.html

WIRELESS APPLICATION PROTOCOL

http://www.ziddu.com/download/2975604/wirelessapplicationprotocol.doc.html

WAVELET TRANSFORMS

http://www.ziddu.com/download/2975605/WAVELET_TRANSFORMS.DOC.html

VOICE OVER INTERNET PROTOCOL

http://www.ziddu.com/download/2975606/voiceoverip.doc.html

WiMAX

http://www.ziddu.com/download/2975607/Wimax_Emerging_wireless_technology.DOC.html

ARTIFICIAL NEURAL NETWORK

http://www.ziddu.com/download/2975639/artificialneuralnetwork.doc.html

ATM

http://www.ziddu.com/download/2975640/atm.doc.html

64-BIT MICRO PROCESSOR 

http://www.ziddu.com/download/2975641/64bitmultiprocessor.doc.html

ADAPTIVE CONTROL SYSTEM

http://www.ziddu.com/download/3006526/adaptivecontrolsystem.sho.DOC.html

COMPOSITE MATERIALS

http://www.ziddu.com/download/3006527/compositematerials.sho.DOC.html

AIR BRAKE SYSTEM

http://www.ziddu.com/download/3006529/airbrakesystem.sho.DOC.html

GENETIC ALGORITHM

http://www.ziddu.com/download/3006620/geneticalgorithm.sho.DOC.html

FUEL CELLS

http://www.ziddu.com/download/3006621/fuelcells.sho.DOC.html

INTELLIGENT COOLING SYSTEM

http://www.ziddu.com/download/3006622/intelligentcoolingsystem.sho.DOC.html

DIESEL ENGINE 

http://www.ziddu.com/download/3006623/dieselengine.sho.DOC.html

METALLURGICAL CHANGES IN SYSTEMS

http://www.ziddu.com/download/3006750/metallurgicalchangesinsystems.sho.DOC.html

SIX SIGMA

http://www.ziddu.com/download/3006751/sixsigma.sho.DOC.html

LIQUID NITROGEN

http://www.ziddu.com/download/3006752/liquidnitrogen.sho.DOC.html

MICROELECTROMECHANICAL SYSTEMS

http://www.ziddu.com/download/3006753/microelectromechanicalsystems.sho.DOC.html

NEURAL NETWORKS

http://www.ziddu.com/download/3006753/microelectromechanicalsystems.sho.DOC.html

AUTOMATIC SPEED CONTROL SYSTEM

http://www.ziddu.com/download/3006530/automaticspeedcontrolsystem.sho.DOC.html

AUTOCONFIGURING ARTIFICIAL NEURAL NETWORK 

http://www.ziddu.com/download/2975642/AUTOCONFIGURINGARTIFICIALNEURAL.doc.html

BLUETOOTH TECHNOLOGY

http://www.ziddu.com/download/2975643/bluetoothtechnology.doc.html

SEMINAR ON 3G

http://rapidshare.com/files/282917636/3g.doc.html

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latest seminars and paper presentations for ece

BLUETOOTH TECHNOLOGY IN WIRELESS COMMUNICATIONS 

http://www.ziddu.com/download/2975676/BLUETOOTHTECHNOLOGYINWIRELESSCOMMUNICATIONS.doc.html

CODING OF DIGITAL AUDIO

http://www.ziddu.com/download/2975677/CODING_OF_DIGITAL_AUDIO.DOC.html

CONTACTLESS SMART CARD

http://www.ziddu.com/download/2975678/contactless_smartcard.DOC.html

DCOM TECHNICAL OVERVIEW

http://www.ziddu.com/download/2975679/dcomtechnicaloverview.doc.html

CODE DIVISION MULTIPLE ACCESS

http://www.ziddu.com/download/2975680/codedivisionmultipleacess.doc.html

DIGITAL IMAGE PROCESSING

http://www.ziddu.com/download/2975732/DIGITAL_IMAGE_PROCESSING.DOC.html

DOMAIN NAME SYSTEM

http://www.ziddu.com/download/2975733/domainnamesystem.doc.html

DIGITAL DISPLAY TECHNOLOGY

http://www.ziddu.com/download/2975734/Digital_Display_Technology.DOC.html

DISTRIBUTED SYSTEMS

http://www.ziddu.com/download/2975735/Disrtibuted_Systems.DOC.html

DIGITAL SIGNATURE

http://www.ziddu.com/download/2975736/digitalsignature.doc.html

E-CASH PAYMENT

http://www.ziddu.com/download/2975749/ecashpaymentsystem.doc.html

EMBEDDED SYSTEMS

http://www.ziddu.com/download/2975750/EMBEDDED_SYSTEMS.DOC.html

FREE SPACE OPTICS

http://www.ziddu.com/download/2975751/freespaceoptics.doc.html

Fuzzy Coordination of FACTS 

http://www.ziddu.com/download/2975752/FuzzyCoordinationofFACTSControllersfor.doc.html

EDGE Compact and EDGE Classic Packet Data Performance

http://www.ziddu.com/download/2975753/EDGECompactandEDGEClassicPacketDataPerformance.doc.html

ATM

http://www.ziddu.com/download/2975772/atm.doc.html

FUZZY LOGIC CONTROL DESIGN

http://www.ziddu.com/download/2975773/FUZZYLOGICINCONTROLDESIGN.doc.html

GSM

http://www.ziddu.com/download/2975774/gsm.doc.html

FUZZY LOGIC

http://www.ziddu.com/download/2975775/FUZZY_LOGIC.DOC.html

FUZZY LOGIC IN EMBEDDED SYSTEMS

http://www.ziddu.com/download/2975776/FUZZYLOGICINEMBEDDEDSYSTEMS.doc.html

HOLOGROPHY

http://www.ziddu.com/download/2982520/holography.sho.doc.html

HIDING DATA IN IMAGES BY SIMPLE SUBSTITUTION

http://www.ziddu.com/download/2982521/hidingdatainimagesbysimplesubstitution.sho.DOC.html

INTELLIGENT WIRELESS VIDEO CAMERA

http://www.ziddu.com/download/2982522/intelligentwirelessvideocamera.sho.DOC.html

HIGH PERFORMANCED DSP CAPABILITY

http://www.ziddu.com/download/2982523/highperformancedspcapability.sho.DOC.html

IMAGE PROCESSING

http://www.ziddu.com/download/2982524/imageprocessing.sho.doc.html

MULTIMEDIA MESSAGING SERVICE

http://www.ziddu.com/download/2982568/mms.sho.doc.html

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Blu Ray Disc

Blu Ray Disc

Optical disks share a major part among the secondary storage devices.Blu .ray Disc is a next .generation optical disc format. The technology utilizes a blue laser diode operating at a wavelength of 405 nm to read and write data. Because it uses a blue laser it can store enormous more amounts of data on it than was ever possible.
Data is stored on Blu .Ray disks in the form of tiny ridges on the surface of an opaque 1.1 .millimetre .thick substrate. This lies beneath a transparent 0.1mm protective layer. With the help of Blu .ray recording devices it is possible to record up to 2.5 hours of very high quality audio and video on a single BD.


Blu ray also promises some added security, making ways for copyright protections. Blu .ray discs can have a unique ID written on them to have copyright protection inside the recorded streams. Blu .ray disc takes the DVD technology one step further, just by using a laser with a nice color.
History of Blu ray Disc 


First Generation
When the CD was introduced in the early 80s, it meant an enormous leap from traditional media. Not only did it offer a significant improvement in audio quality, its primary application, but its 650 MB storage capacity also meant a giant leap in data storage and retrieval. For the first time, there was a universal standard for pre .recorded, recordable and rewritable media, offering the best quality and features consumers could wish for themselves, at very low costs.
1.2 Second Generation

Although the CD was a very useful medium for the recording and distribution of audio and some modest data .applications, demand for a new medium offering higher storage capacities rose in the 90s. These demands lead to the evolution of the DVD specification and a five to ten fold increase in capacity. This enabled high quality, standard definition video distribution and recording. Furthermore, the increased capacity accommodated more demanding data applications. At the same time, the DVD spec used the same form factor as the CD, allowing for seamless migration to the next generation format and offering full backwards compatibility.

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TRACKING AND POSITIONING OF MOBILE SYSTEMS IN TELECOMMUNICATION NETWORKS PROJECT AND SEMINAR

Download Full Article TRACKING AND POSITIONING OF MOBILE SYSTEMS IN TELECOMMUNICATION NETWORKS .doc

ABSTRACT

Mobile positioning technology has become an important area of research, for emergency as well as for commercial services. Mobile positioning in cellular networks will provide several services such as, locating stolen mobiles, emergency calls, different billing tariffs depending on where the call is originated, and methods to predict the user movement inside a region. The evolution to location-dependent services and applications in wireless systems continues to require the development of more accurate and reliable mobile positioning technologies. The major challenge to accurate location estimation is in creating techniques that yield acceptable performance when the direct path from the transmitter to the receiver is intermittently blocked. This is the Non-Line-Of-Sight (NLOS) problem, and it is known to be a major source of error since it systematically causes mobile to appear farther away from the base station (BS) than it actually is, thereby increasing the positioning error.
In this paper, we present a simple method for mobile telephone tracking and positioning with high accuracy. Through this we will discuss some technology used for mobile positioning and tracking

INTRODUCTION

As shown in Figure 3, the mobile telecommunication network includes a several base stations (BSs) T 1 to T N for providing mobile telecommunication service to a mobile subscriber through a mobile telephone M1, a base station controller (BSC) for controlling the BSs T 1 to T N, and a mobile telephone switching office (MTSO) for connecting the BSC to another BTS or a PSTN (Public Switched Telephone Network).

In a cellular mobile telecommunication network, the whole service area is divided into a several coverage areas having respective base stations (BS). Each BS coverage area is called a “cell.” Each BS is provided with a frequency of a range between 450 to900 MHz. More than one cells can use same frequency. Only condition is that no two adjacent cells must have same frequencies. An MTSO controls these BSs so that a subscriber can continue his call without interruption while moving between different cells. The MTSO can reduce the time required for calling a subscriber by locating the cell of the subscriber. In case of an emergency like a fire, or a patient needing first aid treatment, the mobile subscriber should be accurately located. Tracking the location of a mobile subscriber within the boundary of a cell in a mobile telecommunication network is known as “location based services
Mobile technology includes mainly two functions. They are call fixing and hands-off process. All the BSs are sending a signal of power 25 to 30w to the mobile unit. When a user switches ON his mobile, it will search for the strongest signal and got connected to that BS. Then the mobile unit sends an identification signal to the BS. When he fixes a call, the BS accepts the request and sends the request to the BSC and MTSO. Then the MTSO will searches where the subscriber is and connects the call.

When a user moves to another cell the MTSO will change the frequency allotted to it and allots the frequency of the new BS.For both these processes GEOLOCATION of the mobile unit is essential..

Download Seminar Report On TRACKING AND POSITIONING OF MOBILE SYSTEMS IN TELECOMMUNICATION NETWORKS .doc

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IRIS SCAN PROJECT AND SEMINAR

Download Full Article Iris Scan .doc

ABSTRACT

A method for rapid visual recognition of personal identity is described, based on the failure of statistical test of independence. The most unique phenotypic feature visible in a person’s face is the detailed texture of each eye’s iris: an estimate of its statistical complexity in a sample of the human population reveals variation corresponding to several hundred independent degrees-of-freedom. Morphogenetic randomness in the texture expressed phenotypically in the iris trabeclar meshwork ensures that a test of statistical independence on two coded patterns organizing from different eyes is passed almost certainly, whereas the same test is failed almost certainly when the compared codes originate from the same eye. The visible texture of a person’s iris in a real time video image is encoded into a compact sequence of multi-scale quadrature 2-D Gabor wavelet coefficients, whose most significant bits comprise a 512 – byte “IRIS–CODE” statistical decision theory generates identification decisions from Exclusive-OR comparisons of complete iris code at the rate of 4,000 per second, including calculation of decision confidence levels. The distributions observed empirically in such comparisons imply a theoretical “cross-over” error rate of one in 1,31,000 when a decision criterion is adopted that would equalize the False Accept and False Reject error rates.

INTRODUCTION

Reliable automatic recognition of persons has long been an attractive goal. As in all pattern recognition problems, the key issue is the relation between interclass and intra-class variability: objects can be reliably classified only if the variability among different instances of a given class is less than the variability between different classes. Iris patterns become interesting as an alternative approach to reliable visual recognition of persons when imaging can be done at distances of less than a meter, and especially when there is a need to search very large databases without incurring any false matches despite a huge number of possibilities. The iris has the great mathematical advantage that its pattern variability among different persons is enormous. In addition, as an internal (yet externally visible) organ of the eye, the iris is well protected from the environment and stable over time. As a planar object its image is relatively insensitive to angle of illumination, and changes in viewing angle cause only affine transformations; even the non-affine pattern distortion caused by pupillary dilation is readily reversible. Finally, the ease of localizing eyes in faces, and the distinctive annular shape of the iris, facilitates reliable and precise isolation of this feature and the creation of a size-invariant representation.
Algorithms developed by Dr. John Daugman at Cambridge are today the basis for all iris recognition systems worldwide

IRIS SCAN AND BIOMETRICS

Biometrics, the use of a physiological or behavioral aspect of the human body for authentication or identification, is a rapidly growing industry . Biometric solutions are used successfully in fields as varied as e-commerce, network access, time and attendance, ATM’s, corrections, banking, and medical record access. Biometrics’ ease of use, accuracy, reliability, and flexibility are quickly establishing them as the premier authentication technology.Efforts to devise reliable mechanical means for biometric personal identification have a long and colourful history. In the Victorian era for example, inspired by birth of criminology and a desire to identify prisoners and malefactors, Sir Francis Galton F.R.S proposed various biometric indices for facial profiles which he represented numerically. Seeking to improve on the system of French physician Alphonse Bertillon for classifying convicts into one of 81 categories, Galton devised.

Download Seminar Report On Iris Scan.doc

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