Category: CSE Seminar Topics

Introduction to Intel vPro Technology Seminar Topic:

This paper discussed about the latest emerging vPro technology by Intel, which helps to achieve maximum benefits to users by minimizing IT efforts.  VPro technology is not a PC itself but it is a set of features built in hardware and motherboard.

Overview:

Intel vPro technology is a combination of many enhancements in hardware, management, maintenance and security of a PC irrespective of its OS or its power consumption. New hardware innovations with compatible software solutions, high manageability and security are the main features of this technology.  Energy efficiency is one of the major benefits of this technology. PC with this technology is running with less power consumption. This technology provides a feature of accessing and managing the PC even it is powered off. This technology helps to identify the threats more quickly before it affects the OS, with the help of third-party security software and later it updates PC irrespective of its power state.  This security check on PCs can be carried out by vPro’s virtualization technology and its virtual appliances.

While roaming, this technology supports encrypted communication. It also supports both wireless and wired network connections. Intel’s Execute Disable bit functionality is also provided by this technology and remained as one of the powerful hidden strength of this technology. This technology helps to run various operating systems on the same machine at the same time. This technology supports the controlling of host network access based on system’s health and this process considers as Network access protection technology which proposed by Microsoft. 

Conclusions:

VPro technology is a powerful technology which helps to rapid enterprises growth around the globe.  This technology helps to provide qualitative service by meeting growing needs with less cost. The investment on this technology is apt and tolerable when considers the benefits offered by implement it.  To use vPro technology, Intel is providing technical support to many enterprises as required.  All the drawbacks and pits of older versions of this technology are overcome by its new versions.

Download  B.tech CSE Seminar Topic on Intel vPro Technology for Final Year CSE Students .

Introduction to Energy Management in Wireless Sensor Networks Using Energy-Hungry Sensors Seminar:

This paper discussed about the energy management schemes which addresses the energy saving issues at the sensor level.  There are some strategies which help to reduce the power consumption at the radio level by considering data aggregation, data compression, topology management and predictive monitoring. 

Overview:

Duty cycling and adaptive sensing are the two main approaches which can reduce the energy consumed by a sensor. The process of waking up the sensorial system only, when a new set of samples are needed and powering it off immediately after the usage is called Duty cycling.   By this strategy, power saving is possible but periodic sensing is typically considered only in few applications, where the process dynamics are stationary.  There is a need of adaptive sensing strategy to adapt the sensor activities dynamically to the real dynamics of the process.  Both adaptive sensing and Duty cycling are complementary approaches.

                 Operating system provides a set of primitives for powering on and off the sensors in order to support duty cycle mechanisms. Later, the application uses such primitives to get data as per the (adaptive) sensing strategy it implements. The general framework of Wireless sensor Networks allows the designers to focus on selecting best adaptive sensing strategy by leaving low-level duty cycling aspects to the operating system. Adaptive sensing approach has been further classified into three approaches namely hierarchical sensing, adaptive sensing and model-based active sensing.

Hierarchical sensing: The main assumption of this technique is multiple sensors are installed on sensor nodes and observe different resolutions and power consumption.

Adaptive sensing: Adaptive sampling techniques include the adapting of sensor sampling rate dynamically based on the correlation among acquired data.

Model-based active sensing: Model based active sensing technique works by building a sensed phenomenon abstraction by using a forecasting model.

Conclusions:

Power saving is possible with an efficient sensing strategy, by reducing the number of samples and also need to reduce the data to be processed. 

Download  Energy Management in Wireless Sensor Networks Using Energy-Hungry Sensors Seminar Report .

This paper discussed about the Wearable computing which is the process of recognizing human activities from body-worn sensors and about the methods which enhances the robustness of activity-recognition systems.  Wearable computers are miniature electronic devices which can be worn by the bearer under or on top of clothing. These computers are useful for applications which require complex computational support.  The main feature of these computers is its consistency.

Overview:

As there is a rapid growth in mobile sensing and computing has developed few methods for recognizing human activities with the help of sensor data.  Wearable computers have the ability to perform multi-tasking.  Wearable computers can attach to the clothes of a human or can directly attach to the body by inserting it into chains or wristbands. The user can wear this computer and can use its power and functionality virtually in their environment.  These computers are ready to use for the user at any time and there is no need to turn on or off these devices.  These computers help to augment the senses.  Wearable computers provide a ubiquitous sensing and computational capabilities. Wearable system helps for the applications which require activity based computing or interaction-based computing.

Annotation or Labeling and Recognition or Spotting are few of the terms which commonly used in wearable activity recognition process. Sensors help to acquires user’s activities or gestures through signals but these Sensors must be small devices which are invisible to outside and should not provide discomfort to the users. These sensors should select based on its wearability, power usage and computational needs.  Sensor modalities are body-worn accelerometers, which are very small and have low power.

Conclusions:

The large collection of human behaviors by Wearable computing helps to bootstrap humanoid robot behaviors. The main object of wearable computing is Human activity recognition. 

There are many challenges by using activity-recognition systems in robotics. The recognition of human activities for HRI must consider that the activities recognized by machines are not perfectly accurate. 

Download  BE CSE Seminar Topic with Report for Wearable computing  .

Introduction to Security on Digital Library Seminar Topic:

This paper discussed about the meaning of quality in digital libraries (DLs). DLs are differentiated as bad or good based on its services quality and contents. 5S is a standard terminology which discusses the issues in formal framework for digital libraries. This paper also discussed about the quality indicators of Digital libraries.

Overview:

Library RFID Management systems consists of four phases like library security system only, patron self check-in\check-out, support library circulation and quick inventory. The action of library security system only phase is using RFID Tag which replaces EM Security Stripes. The target of this phase is Radio Frequency Detection.  The action of support library circulation phase is using RFID Tag which replaces barcode in circulation process. 

The target of this phase is allowing multiple check-outs and check-ins simultaneously.  The action of patron self check-in\check-out are allowing patron to do check-out and check-in process of books. The target of this phase is providing benefits to librarian and patrons. The action of smart and quick inventory is to search and inventory by using RFID Tag. The target of this phase is quick inventory and searching the misplace material.

            The anti-theft part of the library is LibBest RFID EAS Gates. RFID Tags in the library items are used by RFID Management Systems. When an un-borrowed item passed through any lane then lanes triggers the alarm system.  When a patron passes through with the un-borrowed library material then the alarm will sounds and lights on the gate which will flash at that instance. RFID Tags will get detected by Electronic Article Surveillance Anti-theft Gates.  Whenever an armed RFID tags detected then the alarm will sound on the gate. 

Theft detection is a standalone technology which works independently of the library database. Library RFID Management System can handle material without exception for video and audio tapes. RFID system is an effective library detection system. Automated materials handling is the application of RFID technology. 

Download  Computer Science(CSE) Seminar Report on Security on Digital Library for CSE Students .

Introduction to Face Recognition Technology Seminar Topic:

This paper discussed about “Face recognition” technology which helps to secure applications. In today’s networked world, there is a severe need of providing security to both information and physical properties.  Even though there are many existing technologies which provide security but still it have its own drawbacks.

As it is difficult to forge using biometrics there is a need to have another alternative for providing security to the applications and human.  Usually people identify others by their face and voice, so people feels more comfort with systems that use face and voice recognition. As face recognition is people’s primary method of person identification there is a major focus of research carrying out on this technology because of its non-invasive nature.

Overview:

Geometric approach and pictorial approach are the two approaches of face recognition technology. Geometric approach focuses on the main geometrical features of the face also focuses on geometrical distances and angles between the features. Pictorial approach mainly focuses on the templates of the major facial features.  This technology has a strong relation with the science of neural networks.

There is no need for a user to freeze in order to get captured by this technology. Face recognition is technique of detecting faces and search for an exact match through a dataset whereas face detection is a technique of searching for any matches and stops the search after found. But it is difficult to maintain large databases with plenty of data in this face recognition technique. Many aspects need to consider in the researches of this technology like biology, psychology, physics and computer science.

Conclusions:

Now-a-days, applications developed by face recognition technology are more reliable, non-intrusive and highly accurate. Face recognition technology is one of the most challenging recognition technologies. This paper discussed about the face recognition framework and the factors which affect the recognizer performance. 

Download  Full Seminar Report on Face Recognition Technology for Final Year CSE Students .

Introduction to Computer Science Seminar Topic on Body Sensor Networks:

This paper discussed about a Body Sensor Networks, which are wireless sensor networks designed to operate in a pervasive manner for on-body applications.  Also discussed about the issues with wireless sensors like power optimization, radio design and battery life performance.

Overview:

Generation of ‘hard data’ which shows clinical benefits and cost benefits and this data helps to promote the use of wireless sensor systems in healthcare applications.  But due to lack of ‘hard data’ in assisted living area many of the results reported are having lack of specific details. To demonstrate the automatic properties of sensor network there is a need of end-to-end pilots. In healthcare data must be secure and reliable. Body sensor networks are different from general wireless sensor networks based on its requirements.  The environment for body sensor networks is developed in a way that it can be used by non-technical users to quickly test prototype networks.

The designers of body sensor networks are facing many design challenges, out of which many were inversely related. The parameters need to be considered for designing these Body sensor networks are type and protocol used in wireless transmission, better power consumption, type of sensor device and operations, operation system and  security requirements

To achieve communications and to manage trusted data with much accuracy and authenticity there is a need of Reliable and Robust Body Sensor Networks.  From a wireless sensor mote Rene, wireless sensor operating systems are evolved.  ISO/IEEE 11073, IEEE P1451, Continua Alliance, IHE Initiative, Health Level 7 are the main standards which initiatives pertaining to body sensor networks.  There are many barriers which slowed down the adoption of body sensor networks which includes lack of reimbursement, privacy and security and broadband proliferation. Wireless body sensor networks are used in Tele medicine and tele monitoring.  Many organizations have conducted tests in the development of wearable body sensor technologies.  Researches are carried out to know more science aspects of body sensor networks.

 Download  Computer Science Seminar Report for Body Sensor Networks Topic .

This article is for the awareness of controlling the engineering in a better way. The article tells that instrumentation of the detailed information continuously due to the changes in the degree of the critical confusion state. If any person is able or is capable to understand refer and read the symbols and the short hands that are used in the stated diagrams then is capable of understanding the ANSI instrumentation related symbols and the methods that are used to identify the standard cases of the system and the diagrams too.

Here each every single symbol is used to create a diagram which has objects like the graphic attributes, abbreviations, functioning blocks and also the connecting wire lines that is most necessary object here.

Each and every alphabet in the alphabet series has some or the other functions allocated to it by the system. Here the graphical elements that are needed are divided into four more sub types like discreet instruments, sharing display, functions of the computer and also the programming language that is used to develop the source code for the system. While making this a control called the PLC called as the Programmer Logic Controller is used to show or mention the diagram names properly which has the symbols like the square the triangle etc…  here the letters and the alphabets are combined together and a standard ISA is developed for the  development of the proper system.

Here the first letter of the diagram names the Analysis for A then Flow for F and Temperature for T etc… and in this way each alphabet has some or the other operations. These alphabets which are allocated by each and every operation are standard named as the General instrument or the function symbols. This diagram also has the lines as a diagram which represent the hydraulic signals and sonic signals etc…

 Download  Control Engineering Reference Material .

Introduction to Iris Recognition a BioMetrics Seminar Topic:

Iris recognition as the name is it is the area or the surface between the dark round pupil of the eye and the while surface area of the human eye. It has strong text detailed information that is supported by the Iris recognition system. In this Iris system the state of the error or the condition of the error are very less means here the chances of generating error is very less. This system is permanent biometric system and the user input data are always acceptable here. This is also the real time biometric system.

In this system while execution a horizontal edge of the human eye is used on the processing image. A linear ray is used to transfer the line from the lower eye lid to the upper eye lid. Now the line is drawn which is completely horizontal and an edge is seen completely very closer and near to the human eye or the edge of the eye.

The features of the Iris system are the system has the Gabor filter and it also has the Log Gabor filter, Gaussian filter and its features, features of transferring the wave length, a standard Mexican hat filter. Here the Gabor filter is generated by developing the module by comparing with the Gaussian. It is best application for the less space acquirement and more frequency. Gaussian has a standard algorithm is its sub type that application is called as the Log Gabor filter. This feature has the incremented sage of the frequency and always starts from the zero DC volts.

 Download  Iris Recognition a BioMetrics Seminar Topic  . 

Introduction to Seminar Topic  on Iris Recognition:

The existing system named as the Iris Recognition is the device which targets the problems that are meant to be solved by completely verifying the person’s validity. As the name tells Iris means the unique recognition of the person’s details, data and many more things that are to be completely unique and this also been scientifically proven by the scientist and the developers. The aiming application of this system device is to verify and check properly the Image definition and also verify the requirements that are needed to execute the process successfully. Motivation of the device is explained in detail in the books.

The requirements and the specification of the existing system during the development and the execution process are Visual Basic 6.0 which is the main stage and the builder and the compiler for the current developing system, The color handler which controls the color where in which type of color is suitable, Microsoft Excel to keep the daily records in the table format.

Here the system is backward connected to the networks called as the backpropogation networks. This layer of network has three layers in its sub types called as the Input layer, Hidden layer and the Output layer. These layers take near about 360 data inputs at the same period of time.

This system in future can be done by using or by making use of the CCD called as the Changing Couple Device. This has the lens camera which can be either kept in the active side or also at the passive side. This device will be a complete user friendly and environment friendly too. This Iris can even be used as the security passwords for the prevention of case cards, pins and protection of bank accessing accounts school and colleges primes, libraries and labs etc…. this system proves a great demanding and also a great useful in the coming future days.

 Download  NIT Seminar Report on Iris Recognition .

Introduction to IRIS recognition Technology Seminar Topic:

IRIS recognition technology is the new generation technology where all things happen only with the single touch or the sensor of the device. This system is called as the Biometric system which is the device of automatically recognizing the person or people with their characteristic behavior and also the physiological behavior too. So it’s natural this device uses the computer to recognize the person identity. The system works like this the input day is entered, extraction of feature is done, data is completely verified then the data is checked in the database and then the output result is obtained to the result.

There are various types of biometric system firstly the Bertillonage where this was the first type of the biometric which was launched in the early year 1890. This system found a research that adult bone does not undergo change after the age of 20.

Then came the finger print recognition here the finger prints of the person for the security purpose system. This system can mostly be used in the ATM devices. Then the Face recognition , Voice recognition , Iris recognition , Hand geometry and many other techniques that biometric can clearly work on.

The system called Biometric is greatly and widely spreading device with much more chances of getting success. It has become a very large department of the science and technology which is be of great use in the coming future. The biometric system must be designed in such a way that the system while execution time must not create any problem or any critical issues which later leads to crime. This system as it’s a mobile device can be taken from one place to another too. A good biometric system is available in the market s with low cost, satisfactory obtaining results and also keeping the device itself in a secured and prevented state.

 Download  IRIS recognition Technology CSE Seminar Report .