Category: CSE Seminar Topics

Introduction to Smart Note Taker CSE Seminar Topic:

This paper discussed about most useful application Smart Note Taker.  The data written on this will stored on pen memory chip and will allow the user to read in digital medium after the job has done. This product helps users to take easy and fast notes. This product is useful to the instructors in presentations. When the instructor draw figures or text then that data can be processed and sent to the server computer. Then the server computer broadcasts the same through the network to all of the computers in the presentation room.  The smart note taker is very simple but a powerful product.

Overview:

Smart Note Taker has capability to sense 3D shapes and motions when user tries to draw. The 3D shapes and motions which sensed are transferred to memory chip and then displayed on the corresponding display devices or broadcasted to other computers through network.  This product can monitor the notes, which taken before, on the application program like a word document or an image file used in the computer.  The sensed figures which were drawn on the air will get recognized by this product with the help of few software programs and the desired figure or text is displayed in the word document.

 If the application program is some paint program then most similar shape will get printed on the display screen.  The prior market of this product is educational services and schools. Smart note taker is great solution for the students to take entire notes given by the teacher without much effort and loss of information. This product helps to transfer teacher notes on the board to software directly.   

Conclusions:

The Smart Note Taker is good and helpful product for blinds that think and write freely. The Smart Note-Taker provides a better solution than other existing technologies to address the problems encountered by blind students in their classrooms.

Download  Smart Note Taker CSE Seminar Topic with Report for B.tech Final Year Students .

This paper compared two powerful wireless technologies, 3G and Wi-Fi.  Wi-Fi is one of the popular WLAN technologies and 3G especially developed for mobile providers.  As a business and service model, 3G is more developed when compared to that of Wi-Fi.  Wi-Fi is more developed with respect to WLAN equipment and upstream supplier markets.

Overview:

 As a mobile provider both 3G and Wi-Fi are complements to each other. The interaction between 3G and Wi-Fi technologies favors heterogeneous future. With respective to the service deployment, 3G has only limited service deployment whereas installed base of Wi-Fi network equipments is growing significantly.  The main difference between 3G and Wi-Fi technologies is lies at their corresponding embedded support for voice services. The upgraded technology of wireless voice telephony networks is 3G technology. Wi-Fi offers a lower layer data communication service. The main advantage of 3G over Wi-Fi is that 3G provides better support for secure or private communications when compared to that of Wi-Fi.

3G formal standards picture is clearer than any WLAN technologies.  3G consists of WCDMA, the family of internationally sanctioned standards. Wi-Fi belongs to the family of continuously evolving 802.11 wireless Ethernet standards.  3G uses licensed spectrum and Wi-Fi uses shared unlicensed spectrum. Licensed spectrum offers protection from interference from other service provides. Unlicensed spectrum forces users to accept interference from other service providers.

Conclusions:

The main goal of the comparison between 3G and Wi-Fi is to explore the future of wireless access and to express the possibility of success because of having interaction between these technologies in the future.  Both the technologies succeeded in the current market.  Researches are carried out to integrate 3G mobile providers with Wi-Fi technology and to increase the possibility of success in mass market deployment .Cost is low to establish Wi-Fi networks when compared to that of 3G providers.

Download  3G versus Wi-Fi technologies Easy Seminar Topic for CSE Students .

Introduction to I7 processors Seminar Topic:

This paper discussed about the latest and highly advanced processor, i7 processors.  This processor has 3 cores and each core performs task simultaneously, so the processing will be very fast. Quick path architecture, Turbo boost technology and Hyper threading are the new technologies included in this i7 processor.

Overview:

Turbo boost technology increases the CPU’s performance by improving the frequency of cores.  Frequency of cores can be increased based on the number of active cores.  Hyper threading technology shows one core on the processor as 2 cores to the operating system.  So this technology increases the performance of the overall system by increasing the multi-tasking capability and by doubles the execution resources available to the operating system.

I7 series consists of i7 920 processor, i7 940 processor and i7 extreme edition 965 processor. Among these 3 the price of i7 extreme edition 965 processor is more in current market when compared to the remaining two.  Intel core i7 processor is the fastest processor on our planet.  Many Intel desktop x86-x64 processors are there in Intel core i7 family.  I7 processors are the first processors which are released by using the Nehalem micro-architecture.  Quad core Intel core i7 mobile processors are available on notebooks and help to save the power. Core i7 processors are the high-end processors when compared to that of i3 and i5 series.

Conclusions:

Intel I7 series has many outstanding features. Clock speed is improved significantly within temperature and power limit with the help of turbo boost technology. This technology increases efficiency without any afford any extra effort or power.  In I7 series, each processor has explicitly its own dedicated memory.  QPA is designed in away it reduces execution time and latency time. 

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This paper discussed about the self-managed systems in IT and its advantage. Also described about autonomic computing technologies, how an autonomic system depends on this technologies and how these systems helps to analyze an error condition and how to provide corrective actions when an error condition encounters.

Overview:

Autonomic computing is the self-managing computing model which named based on autonomic nervous system of human’s body. IBM has started autonomic computing technology. Designing and developing of self-management systems in order to overcome the complexity of computing system management is the main goal of IBM. Autonomic computing is one of self-managing characteristics which helps to identify unpredictable changes and implement corrective actions if an error occurs.  Self-managing computing helps to letting computing system and infrastructure works smarter and take care of managing themselves.

Self-managing systems have the ability to adapt to changes in business policies and surrounding business environment.  These systems have capability to perform managing activities in IT environment.  Most of the mundane operations can manage by this autonomic computing technology helps to IT professionals to focus on other high-value tasks. Self management computing improves system management efficiency.  This computing technology can balance the tasks managed by an IT professional and by the system in e-business infrastructure. Self management computing technology helped to the evolution of e-business. The main goal of autonomic computing is to create systems which are capable of high-level functioning by keep the actual complexities invisible to the user. But there are many challenges exists in developing an autonomic computing system.  The complexity of modern networked computer system is one of the limiting factor in autonomic system’s expansion.

Conclusions:       

The main objective of IBM autonomic computing initiative is to prepare IT systems self managing.  Self-managed systems can easily adapt to changing environments and react very efficiently to all conditions.  Quick response always helps to reduce application downtime and in turn prevents catastrophic loss of revenue. 

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Introduction to Security Risks and Solutions – ADHOC Routing Protocols :

This paper discussed about the security issues in ad-hoc routing protocols and how the process of routing takes place in ad-hoc networks.  Because of the ad-hoc nature of MANETs, proper routing is very important in order to protect against attacks.  There is a need to focus on available security solutions to prevent security risks in ad-hoc networks. 

Overview:

Attacks using impersonation are called spoofing, which hides the real IP address or MAC address and user another one. Falsifying route error messages, route cache poisoning, routing table overflow attack, reply attack and black hole are few of the popular attacks which uses fabrication. Attacks using fabrication are very difficult to detect. There is a need to find a routing protocol which forms routes free from any malicious nodes. A good routing protocol should detect the malicious nodes and need to change the routes accordingly. Route cache poisoning is a passive attack that can occur in DSR. Mainly ad-hoc networks are divided into open, managed-open and managed-hostile environmental categories.

The techniques which helps to enhance the ad-hoc routing protocols are security-Aware ad-hoc routing, secure routing protocol and selfish node. Selfish node is a concept used in open environment ad-hoc networks to avoid maliciously behaving nodes. The monitor, reputation system, path manager and trust manager are the four components which are used to keep network throughput at a maximum. For managed-open environments, secure communications are provided by ARAN protocol. ARAN, Authenticated Routing for Ad-hoc Networks protocol has authentication and transmission phases. 

Conclusions:

In order to make ad-hoc routing more secure, different solutions are available for different environments.  The security level of ad-hoc routing protocols always depends on situation, context and infrastructure availability.  Every security problem in ad-hoc networks has solutions but every solution has its own drawbacks.  The choice of selecting solutions to security problems in ad-hoc networks based on the impact of those security aspects.

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Introduction to Android Seminar Topic:

This paper discussed about the most emerging and fast growing mobile operation system, Android.  Android code has a free software license, Apache license. The Android Open Source Project is working on further developments of Android and providing maintenance to the current version. Android is a mobile operating system which developed based on Linux kernel with middleware, libraries and API’s written in C.

Overview:

Android has huge number of developers to develop applications and there are approximately, 250,000 applications are available for Android.  Google is running an online application store, Android market and allows the users to download Android apps using third-party sites.   Updates in Android are coming as versions and each version has its own code name.  Cupcake, Donut, Eclair, Froyo, Gingerbread, Honeycomb, and Ice Cream Sandwich are the code names of Android versions.

 The combination of Gingerbread and Honeycomb is termed as Ice cream sandwich version and also this version has few more new updates.  Android logo has an Android robot which represents the Android operating system.  Android’s custom typeface is called Norad, which is only used in the text logo.  Android x86 project provides support to x86 version of Android OS and Google TV uses a special x86 Android version.

Conclusions:

Android is a software stack for mobile devices developed by Google and Open Handset Alliance.  Android is marked as world-wide best selling smart phones platform.   Google TV, tablet computers, smart phones, netbooks and few more devices are using this Android operating system.  ARM architecture is the main hardware platform of Android.  HTCDream is the first phone which used Android software in 2008. Mostly, applications developed in Java language are using Android Software Development Kit.

Android market, an online application store is running by Google and also along with android apps, Google provides many other Google apps in this store.  From the Android market, users can install applications from third party application stores like Amazon application store. 

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Introduction to Brain Computer Interface Seminar Topic:

This paper discussed about how to measure brain function and importance of different neuroimaging modalities. As per researches, the best tool to measure brain function is EEG (electroencephalographic). In this tool, by using both invasive and non-invasive real time techniques, activities from different parts of the brain can be measured.  These EEG signals will get applied to signal processing unit for further processing.

Overview:

The main task involved in this tool is the classification of EEG patterns with respective to its frequency and amplitude in different consciousness states.  EEG signals can be obtained from brain by both invasive and non-invasive techniques. In Invasive technique, EEG signals obtained either with the help of needle electrode or by a chip which implanted in the brain. In non-invasive technique, user needs to wear an electrode cap which records EEG activity from the brain and identify brain waves.

There is no need of any surgery or implantation in this technique.  But in this technique, there are some limitations exist while recording from the scalp using electrode cap. Multi-Layer Perceptron Neural Network (MLP-NN) based method is one of the simpler and most efficient method under EEG classification.  EEG signals are used to control the output devices and this control can be achieved either by using tracking system or software technique.

Conclusions:

In BCI, the machine should learn how to differentiate brain activity patterns and the user should learn how to perform different tasks in order to yield distinct brain signals. In real-time there is a need to execute few tasks by the user for an effective working of BCI and the tasks are like Parameter extraction, pattern recognition and classification and generation of neurofeedback.  EEG patterns characteristic changes can be produced by performing few mental tasks like mental cube rotation or attention versus relaxation.  Initial training, offline analysis and classifier generation, training with neuro-feedback and classifier update are the four steps involved in the whole training process of BCI.

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