Underwater networks of sensors have the potential to enable unexplored applications and to enhance our ability to observe and predict the ocean. Unmanned or Autonomous Underwater Vehicles (UUVs, AUVs), equipped with underwater sensors, are also
envisioned to find application in exploration of natural undersea resources and gathering of scientific data in collaborative monitoring missions. These potential applications will be made viable by enabling communications among underwater devices. Under Water Acoustic Sensor Networks (UW-ASNs) will consist of sensors and vehicles deployed underwater and networked via acoustic links to perform collaborative monitoring tasks. Underwater acoustic sensor networks can enable a broad range of applications, including:
• Ocean Sampling Networks. Networks of sensors and AUVs can perform synoptic, cooperative adaptive sampling of the 3D coastal ocean environment.
• Environmental Monitoring. UW-ASN can perform pollution monitoring (chemical, biological, and nuclear), monitoring of ocean currents and winds, improved weather forecast, detecting climate change, understanding and predicting the effect of human activities on marine ecosystems, and biological monitoring such as tracking of fishes or micro-organisms.
Shallow Water Acoustic Networks.pdf (225 KB)
Seminar report on RSA Cryptosystem for BCA MCA students.
In this seminar report, we review public key cryptography, and RSA
public cyryptosystem in particular.
RSA public cryptosystem is a asymmetrical cryptosystem: it uses a
pair of keys, one of which is used to encrypt the data in such a way that
it can only be decrypted with the other key. The keys are generated
by a common process, but they can not be feasably generated from each
other. The relation between these keys relies on a NP-hard problem: in
virtually all cases, the function is a one-way function. There are a number
of such one-way functions that various cryptographic algorithms rely on,
including integer factorization, discrete logarithm, etc.
Download full seminar report on RSA Cryptosystem.
iSCSI, in contrast, enables IP-native SANs. iSCSI solutions consist of iSCSI initiators in the server, connected to iSCSI targets (native iSCSI storage systems), by means of standard Gigabit Ethernet infrastructure (switches and cables). iSCSI is particularly interesting for storage consolidation solutions for server applications in environments where simplicity, flexibility, and price/performance are critical IT decision factors. It is also an excellent basis for cost effective and efficient backup and disaster recovery solutions.
iSCSI brings Ethernet economics to storage. Ethernet switching components are on average 30% to 50% of the cost of their FC counterparts, amortizing the economies of scale of billions of IP ports deployed worldwide. As with all of the IP storage protocols, iSCSI administration requires only the familiar networking expertise of IP networks – the standard skill set required of every IT admin. iSCSI leverages IP’s proven record of hardware interoperability, giving decision makers the flexibility of choosing from multiple vendors and sources.
The IETF implemented multiple security layers within iSCSI making it the most secure storage network protocol. These security measures are based on mature standards such as IPSec and CHAP. Administrators have the flexibility of implementing various layers of security within the iSCSI SAN based on business needs.
With iSCSI, administrators have three options to choose from when connecting servers to the storage: Software Initiators, Software Initiators with TOE cards, and iSCSI Host Bus Adapters (HBAs). The Software Initiators are free drivers available from the Operating System vendors. They can use either regular Ethernet server ports, NIC cards or accelerated TOE cards (TCP/IP Offload Engines). The iSCSI HBA offloads the entire iSCSI and networking stack onto the hardware adaptor.
Seminar Report on Nanotechnology
A great seminar topic to use for final year engineering students. Please use this nanotechnology seminar report for education and reference purpose only.
A basic definition of Nanotechnology is the study manipulation and manufacture of extremely minute machines or devices. The future of technology at times becomes easier to predict. Computers will compute faster, materials will become stronger and medicine will cure more diseases .the technology that works at the nanometer scale of molecules and atoms will be a large part of this future, enabling great improvements in all the fields of human presence. A supercomputer no bigger than a human cell. A spacecraft no longer or more expensive than the family car.
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The USB controller IP for FPGA designs provides an interface for “system on a chip” designers to connect to a USB bus. This will save them design time and the time required debugging and testing a USB Controller if they were to implement the functionality of the IP themselves.The controller IP provides much of the functionality of high end USB controllers. The IP has been developed in VHDL which is a widely used hardware description language and is supported by the major FPGA designers such as Xilinx and Altera.
Author:-Myilone Anandarajah
University:- The University of Queensland
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Artificial Intelligence is a branch of Science which deals with helping machines find solutions to complex problems in a more human-like fashion. This generally involves borrowing characteristics from human intelligence, and applying them as algorithms in a computer friendly way. A more or less flexible or efficient approach can be taken depending on the requirements established, which influences how artificial the intelligent behaviour appears.
AI is generally associated with Computer Science, but it has many important links with other fields such as Maths, Psychology, Cognition, Biology and Philosophy, among many others. Our ability to combine knowledge from all these fields will ultimately benefit our rogress in the quest of creating an intelligent artificial being.
Computers are fundamentally well suited to performing mechanical computations, using fixed programmed rules. This allows artificial machines to perform simple monotonous tasks efficiently and reliably, which humans are ill-suited to. For more complex roblems, things get more difficult… Unlike humans, computers have trouble understanding specific situations, and adapting to new situations. Artificial Intelligence ims to improve machine behaviour in tackling such complex tasks. Together with this, much of AI research is allowing us to understand our intelligent behaviour. Humans have an interesting approach to problem-solving, based on abstract thought, high-level deliberative reasoning and pattern recognition. Artificial Intelligence and help us understand this process by recreating it, then potentially enabling us to enhance it beyond our current capabilities.
Download full seminar report on Artificial Intelligency.
BIO=Pertaining to biology; MATRICS=Science and art of measurement.
The term ‘biometrics’ is used to refer to any and all of a variety of identification techniques which are based on some physical and difficult-to-alienate characteristic.
Today, the science of biometric technology refers to the “automated” methods used to recognize a person based upon physiological or behavioral characteristics.
Biometric technologies are becoming the foundation of an extensive array of highly secure identification and personal verification solutions.
Biometrics is a modern technological field that focuses on identifying an individual through his or her unique physical traits.
A biometric is a measurable, physical characteristic or personal behavioral trait used to recognize the identity or verify the claimed identity of an enrolled user.
Biometrics is automated methods of recognizing a person based on a physiological or behavioral characteristic.
Physiological techniques include fingerprint recognition, retinal and iris scanning, facial recognition, hand and finger geometry and DNA analysis.
Behavioral techniques include handwriting recognition, voice or speech recognition, gait, and keystroke dynamics.
In all automated systems, the fundamental operational steps are:
1. Capture: The biometric data is captured, digitized and entered into a database.
2. Extraction: A template is created using this measurable unique data.
3. Comparison: The template is compared with a new sample.
4. Match/Non-Match: The existing template matches the new sample or it does not.
The goal of most automated biometric ID systems is one of two outcomes:
1. Verification: Is the person who the they claim to be?
2. Identification or recognition: Who is this? Is the person already known to the
system under a different identity?
“Only biometrics can identify you as you [Not Password].”
Download Full Seminar Report on Biometrics Security.
Computer processor design has evolved at a constant pace for the last 20 years. The proliferation of computers into the mass market and the tasks we ask of them continue to push the need for more powerful processors. The market requirement for higher performing processors is linked to the demand for more sophisticated software applications. E-mail, for instance, which is now used globally, was only a limited and expensive technology 10 years ago. Today, software applications span everything from helping large corporations better manage and protect their business-critical data and networks to allowing PCs in the home to edit home videos, manipulate digital photographs, and burn downloaded music to CDs.
Tomorrow, software applications might create real-world simulations that are so vivid it will be difficult for people to know if they are looking at a computer monitor or out the window; however, advancements like this will only come with significant performance increases from readily available and inexpensive computer technologies.
Multi-core processors represent a major evolution in computing technology.
This important the benefits offered by these development is coming at a time when businesses and consumers are beginning to require processors due to the exponential growth of digital data and the globalization of the Internet. Multi-core processors will eventually become the pervasive computing model because they offer performance and productivity benefits beyond the capabilities of today’s single-core processors.
Download Full Seminar report on Multicore Processors.
Imagine being able to record 100 movies on a disk the size of a CD – - or one day recording the contents of the Library of Congress on such a disk. These are the promises of holographic data storage.
Holography enables storage densities that can far surpass the super paramagnetic and diffraction limits of traditional magnetic and optical recording. Holography can break through these density limits because it goes beyond the two-dimensional approaches of conventional storage technologies to write data in three dimensions. In addition, unlike conventional technologies which record data bit by bit, holography allows million bits of data to be written and read out in single flashes of light, enabling data transfer rates as high as a billion bits per second (fast enough to transfer a DVD movie in about 30 seconds). Holography stacks information throughout the thickness of a storage medium, instead of just writing it to the surface.
With its powerful combination of high storage densities and rapid data transfer rates, holography stands poised to become a compelling choice for next-generation storage needs. Days are not far, isn’t it?
Download Full Report on Holographic Memory here.
Blue eyes technology seminar for final year engineering students.
Ever think your computer might one day pester you with messages of love or take up arms in a fit of rage over your insensitivity?
If researchers at IBM’s Almaden Research Center here are to be believed, we could then soon see computers that actually know you hate them, or in turn appreciate them for a job well done. Their initiative to make this happen: the Blue Eyes research project currently being implemented by the center’s user systems ergonomic research group (User). Blue Eyes seeks attentive omputation by integrating perceptual abilities to computers wherein non-obtrusive sensing technology, such as video cameras and microphones, are used to identify and observe your actions.
This seminar topic on blue eyes technology is very demanding amongst the final year engineering students. You can present your report on this topic.
As you walk by the computer screen, for example, the camera would immediately “sense” your presence and automatically turn on room lights, the television, or radio while popping up your favorite Internet website on the display. Part of this project is not only teaching computers how to sense or perceive user action. They are also being programmed to know how users feel–depressed, ecstatic, bored, mused, or anxious–and make a corresponding response. Computers can, on their own, play a funny Flash animation feature to entertain its “master” if it notices a sad look on his or her face.
Voice or sound capabilities can also be integrated, with the computer “talking” to his user about the task at hand or simply acknowledging a command with a respectful, “yes, sir.” In these cases, the computer extracts key nformation, such as where the user is looking, what he or she is saying or gesturing or how the subject’s emotions are evident with a grip on the pointing device.
Computer Engineering | Guest May 24, 2010 | 
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