M.tech Thesis Technologies

Soft Computing

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In software engineering, soft computing is the utilization of estimated answers for computationally hard tasks, for example, the arrangement of NP-complete issues.



Techniques and tools of soft computing are integrated in everyday and advance applications. Vague arrangements are utilized to figure hard errands, for example, NP complete issues. Soft computing is another, rising control established in a gathering of advancements that expect to endeavor the resilience for imprecision and vulnerability in accomplishing solutions for complex issues. Human mind is the good example of delicate processing.



Today soft computing is one of the areas which is of keen interest for researchers and it has been practically applied in the areas of bioinformatics and bio-medicine.



Soft computing techniques have also found its applications in economical world and its techniques are progressively gaining presence in the financial world. Soft computing can be used in financial market.



The principal components of soft computing are fuzzy logic, neuro computing, genetic algorithms and probabilistic reasoning and various research works can be done in soft computing based on its principal components.

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Biomedical Applications

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Biomedical is field that connects engineering and the medicines. It is basically used for the advancement in the health care treatment, as it combines the design and problem solving skills of engineering with medical and biological sciences. This concept is manly used in the security system and for the biomedical treatment. As the modern security systems the biometric systems are present that can certify the authentication of a person. Authentication is a process in which the credentials provided are compared to the files present in data base and is checked and if the credentials match then the process is completed the user is granted the access. In medical science biomedical plays a vital role, with the help of this the detection of the diseases at the initial stages have become possible, so that the measures can be taken at soon as possible. Biomedical field has vast research areas for the researcher’s .As various researches can be made in designing of the biometric systems and the biomedical system. EESPL provide a wide ranges of the project based on biomedical applications

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Networking

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Network security of the data information is the major concern in present scenario. To protect the data from unauthorized user access or loss is there is need of network security. In network security only the network administrative can access the data.



Network security consist of various polices that are followed by network administrator to check whether the network is secure or not .The main reason to provide network security is to protect the information form loss and make it sure that is being deliver to the right destination .to restrict the user to send same message to another user with name of a third person. Network security is involved in organization, enterprises and other types of institutions. Network security has a wide research area it is prime issues .to makeTo make network free from unauthorized user that can access network, many network security policies or methods have been developed, so that so that only the authorized user can make access to the network.in this way keeping data secure.



There are many methods of network security. The most common and simple is assigningan unique name and a corresponding password which is called as one factor authentication .ATM or mobile phones are termed as Two factor authentication. A finger print or retinal scan comes under three-factor authentication.


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Image Processing

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Processing image using any signal processing form taking image or video as input and the output in the form of image or the specifications of image is called image processing. The processes that resemble the process of image processing includes computer graphics and computer vision.



There are currently three types of image processing: digital image processing, analog image processing and optical image processing. With the upsurge in scientific visualization, image processing is nowadays trending as an area of interest for scholars and researchers.



Image processing is among fastest growing technologies and it also has applications in the field of business. Image processing can also be used for security purposes as data can be encrypted in the image and can be sent from one place to other. There are wide areas of research in image processing like: cancer imaging, Brain Imaging, Image processing, Imaging Technology, Development of automated software, Development of instrumentation.



To improve the results of image processing parallel and distributed computing paradigms are employed. The technique of image processing includes extracting the parameters and features of image and applying algorithms as per the requirements of one’s research.



Image processing is one of the fastest growing areas in the field of research and development and is also of great interest for researchers. The areas of research in image processing includes watermarking, steganography, fusion, face recognition, quality recognition, segmentation, enhancement, noising and denoising, edge detection, character recognition, currency detection, image registration etc. the analyst having interest in image processing can select any area for carrying out their research.


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DSP

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An area of signal processing in which discrete domain signals are dealt with is called digital signal processing. DSP deals with signals in discrete form like discrete frequency, discrete time or any discrete domain of signal.



The objective of DSP is generally to measure the filter or compress continuous real world analog signal. Digital signal processing can perform linear and non-linear operations. The probability of digital signal processing in error detection and correction and data compression in transmission is better than the analog signal processing.



DSP is studied in various domains like Time domain, Spatial domain, frequency domain and wavelet domains. The domains which represent the best characteristic of the signal is chose to work upon that signal.



The applications of DSP are listed as:-

• Audio and speech signal processing
• Sonar and radar signal processing
• Sensor array processing
• Spectral estimation
• Statically signal processing
• Biomedical signal processing etc.

To work on DSP various technologies like general purpose microcontroller, Field- programmable gate array (FPGAs), digital signal controllers and stream processors can be employed. So research work can be done in these areas to modify the signal.


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Electrical Power System

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The rate of transfer of the electric energy is known as the Electric power and it is measured in megawatts. A network in which the components that are used, supply, transmit and use electric power is known as electrical power system. The power that is supplied to the homes and industry is a network that can be considered as the example of the electrical power system. The electrical power is generating at different generating stations, while the stations are made many factors are taken in considerations. Designing of the electrical power system the system must consider the factors like power consumption and energy of the system, Load center is the place where maximum power is consumed. Hence generating stations are not normally situated very nearer to load center. To make the systems efficient the energy and the power consumed should be less. So to increase the efficiency of the electrical power system, can also considered as the research area for the researchers, we at EESPL can provide you assistance in many Electrical power system based projects.

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Wireless (WSN)

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Wireless technology is a domain in which communication is made possible between two or more points without any physical contact or electrical conductor between these points. Wires are not used in this type of communication.



This communication is used where wires are not possible to install or are impossible to reach. Wireless communication has made possible the transformation of information to distant areas or the areas where setting up communication using wires is difficult.



In wireless communication radio waves or acoustic energy is used for carrying the information. This mode of communication have various advantages over wired communication as it is cheaper, less cumbersome, easy to install and efficient than the formal.



Wireless communications have various fixed, mobile and portable applications that include 2-way radios, cellular telephones, personal digital assistants and wireless networking.



Wireless is one of the vast areas in which research can be carried out in number of fields like increasing the range of communication, increasing lifetime of nodes, improving energy efficiency, decreasing network failure etc. the parameters that are required to be kept in mind are the operating range, battery life, sensitivity, data rate, network topology and node intelligence.


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Audio Processing

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Wireless network is becoming popular, as mobility is one the feature of these networks. Mobile ad hoc network (MANET) is also a wireless network. It does not have any physical infrastructure for communication, inspite of any geographical location, therefore it is also called as infrastructure less network.



MANETS is fast growing network because of its cheaper, small and more powerful devices. Due to presence of larger number of device in the MANETS network one device should be able to detect the presence of other device in the network, for making communication possible and for sharing of data and services. Each device in MANET can move independently in any direction and due to this it can changes its link frequently. Device in MANETs communicate at radio frequencies (30 MHz - 5 GHz).



Nowadays MANET is one of most active field for communication and network research .As it has many application like Military battlefield, Commercial sector, local level etc.


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