The Synthetic Aperture Radar (SAR) images are difficult to interpret owing to the multiplicative speckle noise from coherent acquisition systems. Therefore, de-speckling of SAR images always plays a primary pre-processing task in SAR image processing. There are many methods using various spatial domain filters and transform domain algorithms which focus on speckle reduction but not all methods can preserve the image edge features. The article suggests a de-speckling algorithm via sparse representation using combined Shearlet Transform and DTCW transform which possess direction selectivity and shift invariant property. The experimental results, the suggested method has better PSNR, ENL, and EPI values than the existing state of art methods. The proposed methodology not only preserves the edges, also improves visual effect by enhancing the texture of SAR images.

Intellectual radio is a developing remote innovation utilized to expand the recurrence range usage of the constrained ghastly assets. Helpful interchanges have been considered as a potential strategy for comprehending the blurring impacts, for example, improving the steadfastness of system execution, arrange throughput, and versatility in remote correspondences. The exhibitions of Single node -AF (Amplify and Forward) and multiple nodes – DAF (Decode, Amplify and Forward) intellectual hand-off systems are examined over autonomous non indistinguishably circulated Weibull blurring diverts in Cognitive Radio Network. The diagnostic outcomes show that the bit mistake rate and the Signal to Noise Ratio esteem is 24dB for Single and Multiple nodes in network are better than handing-off conventions.

One of the difficult errands in the medicinal field is cerebrum tumour order which includes the extraction of tumour districts from pictures. By and large, this undertaking is being done physically by medicinal specialists which isn't constantly evident because of the similitude among tumour and ordinary tissues and the high decent variety in tumours’ appearance. Accordingly, computerizing restorative picture division stays a genuine test. In this paper, we will concentrate on bunching of Magnetic Resonance cerebrum Images (MRI) by utilization of k-Nearest Neighbours calculation. Our thought is to consider this issue as a grouping issue where the point is to recognize ordinary and anomalous pixels based on a few highlights, in particular forces and surface. All the more decisively, it is recommended to utilize SVM which is mainstream and spurring characterization techniques. The exploratory investigation is experimented for Gliomas dataset speaking to various tumour shapes, areas, sizes and picture powers and furthermore to recognize blood clusters in the human mind.

A triangular shaped microwave pulse is generated by optical heterodyning principle using Stimulated Brillouin Scattering (SBS) in an optical fiber communication link. A narrowband Distributed Feedback (DFB) Laser diode of wavelength 1552.52 nm, LiNbO Mach Zehnder Modulator (MZM), Highly Nonlinear Fiber (HNLF) of length 20 Km and Optical receiver that comprise high power optical pump source, circulator, PIN photo detector and Band pass filter form the link. Finally, a Radio over Fiber system for the generation of triangular shaped microwave pulse is built through simulation.

Empathize the user needs for home device automation is a creative design thinking to facilate man kind. The prevalence of home automation has been increased due to inter-linking and shadowing of human activities by controled machine activities. Use of machines and its control by using information technologies to improve automation is a next step beyond mechanization. Control home machinaries , electronic devices ,fire alarm systems, water tank management systems, and security surveillance camera can be automate to reduce manual labour, elecrticty and ease of accesing from remote systems to make human living style as easy and secure.This paper, cloud based support for home devices automation bolster the elders, pet animal care takers and disabled persons activity by remote automation though Smartphone and tablet connectivity. Focus of this project is to develop a system which makes integration of the different home automation components seamlessly irrespective of manufacturer or where the components are coming from and accessing by remote by storing in cloud.

Power generation from natural resources are very important as overall power generation capability has been depleting. Many natural resources are for the generation of power such as renewable energy sources, energy generated from the waste food materials etc. This paper work aims in generating the power from the organic food waste. Now day’s organic waste food is available in surplus quantity. The organic waste food is stored in the storage tank. From the storage tank it is crushed and fed into the mixer tank and then to the digester. The crushed organic waste is kept in the Digester for about than twenty days. The collected gas in the cylinder is filtered by using a carbon filter and fed to the generator. The generator generates the electricity. By using this flow process organic waste is converted into electricity. In this paper, a prototype is also installed for 10Kg of organic waste from which 20KW of power is generated.

This project deals improved dam water management mechanism. The flood which is caused due to sudden release of dam water is prevented by continuously monitoring the dam and transporting the water from one dam to another if necessary. People in the world get affected because of flood in winter and water scarcity in summer. Reservoir is the most efficient tool to save the water resources. The water in reservoirs can be used for domestic and industrial purpose, irrigation, hydropower generation, navigation, ecology, boating, fishing and other forms of recreational activities. But it gets wasted in the form flood. Hence a prototype is constructed more efficiently to save the life of people and environment from flood impacts and also to save the water resources. It is a low cost automated control system which provides better accuracy. Here the data is analyzed and controlled by Arduino Uno R3. This automatic control system is completely programmed. The data is communicated from one dam to another dam through master controller and the communication between the master controller and dams takes place wirelessly using RF Transmitters/Receivers. The master controller has an LCD display to output visual information

This paper is proposed DC motor for speed controlling using PWM control with the PIC microcontroller. The DC machine is explicitly comparing to the voltage associated over its terminals for controlling the speed. Consequently, on the off chance that the voltage over the terminal of motor is moved, at that point the speed can in like manner be changed. This venture uses the above rule to control the speed of the DC machine by fluctuating the duty cycle of the pulse associated with this. This task uses two data gets interfaced to the microcontroller, which are used to control the speed of motor.

Cerebral Palsy (CP) is described as a neurological disorder due to the abnormalities that develop during brain development in kids. This paper represented the past work on Iris detection and machine learning classification techniques. The experimental result shows the best accuracy obtained for detection of iris and eye corner by our algorithm for the real world conditions with state of art methodology.

In India most of the metropolitan cities using underground surface for transferring the EB and BSNL lines. That’s why this project is very needed, we supposed to reduce the human power and loss of energy. In this we attach some sensors to the cable with microcontroller in underground and that sensor shows the fault location accurately, by this we can reduce the time and human power for searching for fault location. And more than that we can even prevent the cable from getting fault. the process if any fault occurs that we can see the accurate location by the sensor, that gives the location to microcontroller and the controller sends the location to the system which was connected in the wireless communication with mobile. We can prevent the cable from getting fault by find out how the cable getting fault and then we attach sensors for monitor the types of fault.