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The conventional energy present today is limited to fulfill the demand of automobile engineering. To explore renewable energy in automobile engineering the source needed for applications can be renewable sources. Now-a-days Electric Vehicles are battery operated and to charge the battery the renewable sources are used. This paper highlights on power from multiple sources to charge batteries by using...
Synthetic aperture radar is used for land cover change detection which can either be mounted on a drone or an aircraft, spacecraft. It can be used for land cover change detection by comparing two images which are taken at different intervals of time. For this we are using differencing methods. The operators used in differencing methods are log ratio and mean ratio. For obtaining a better difference...
Normally the power is generated by conventional form of energy either by non-conventional form of energy. The generated power can be transmitted by different types based on the type of transmission network preferred. while transmitting the power due to some power quality problems like sag or swell will arise and there will be a drop in voltage that produces the oscillating waves that results in low...
In this paper, we propose the novel remote sensing image classification algorithm based on the PCA and hidden Markov random field theory. Remote sensing image classification method based on the pattern recognition theory at home and abroad, many experts have done a lot of research work, machine learning has been in study of remote sensing image classification and information extraction has been widely...
Global Positioning System (GPS) which is a part of the Geographical Information System(GIS) is used for the efficient mapping of the traffic trajectories in the real world scenario.It uses GPS logs of roadways which is useful in the routing applications like Smart Maps. The historical GPS logs which is a collection of numerous GPS points are provided to find the landmark graph. Beyond that the live...
Face detection can be termed as a one of the component of object-class detection. Detecting an object's location and size from an image or a video is known as object-class detection. So, in the face detection methods, we basically try to find the location of the facial region of a human. There are many algorithms available for the face detection. Some are slow, while some are robust. But not every...
Piezoelectric micro-generator have ability to scavenge mechanical energy of ambient vibrations and transform it to useful power. A new geometric cantilever is proposed to enhance power generation, under forced vibration. This paper presents the design, optimization and virtual fabrication of the proposed cantilever. PZT-5H as piezoelectric material is arranged in the form of bilayer strips over which...
Low density parity check (LDPC) codes are well known for their good error correction capability near to Shannon's limit and also due to parallel decoding possibility. The proposed work deals with design and FPGA implementation of flexible LDPC encoder using general and RU methods. LDPC encoder architecture with RU method encodes with propagation delay of 1.256ns less compare to general method. The...
Retinal vessel is major role of nourishing the retina. The earlier retinal analyses help in diagnosis of diabetic retinopathy and major cardiovascular diseases. There are several algorithms are proposed in recent literature for segmentation of retinal vessel. Here we are proposing Pulse Coupled Neural Network (PCNN) where utilizing all advantages of unsupervised methods. PCNN is a single layered neural...
In this paper, an ultra wideband band pass filter which is suitable for satellite applications is designed. The filter includes a defected ground structure (DGS) which is dumbbell shaped. DGS is the defect etched in the ground plane of the microstrip filter which results in increasing electrical length due to which size of the filter gets reduced. DGS also helps in harmonic suppression. The filter...
This paper proposes a compact microstrip patch metamaterial inspired antenna having FR4 epoxy substrate with split ring resonator loaded ground plane. Return loss is improved by introducing split ring resonator on the ground plane. The substrate has dielectric constant of 4.4 having dimensions 30×34×1.6 mm3. The impedance bandwidth of 100MHZ (returnloss<−10db) spanning from 5.7GHz to 5.9GHz that...
Trust helps to make decisions in unpredictable circumstances. Every security system depends on trust, in one form or another, among users of the system. A trust management scheme can used to help an automated decision-making process for the access control strategy. Unintentional temporary errors are possible in system, the trust management solution must provide a scheme to allow nodes to recover trust...
Decompositions play a vital role in graph theory. It provides an efficient method to partition the edges of Gso that the results for complicated graphs can be achieved by means of its subgraphs. We show how to find the minimum number of colours required in an edge colouring of a connected graphGin which every pair of vertices is connected by at least one shortest path in which no two edges are coloured...
The Digital Image and Communication On Medicine (DICOM) images are now subjected for transmission over the internet which bring about concerns regarding data security. The security of the medical images over the DICOM network currently relies on encryption techniques such as Advanced Encryption Standard (AES) and Triple Data Encryption Standard (3DES). These techniques however consume substantial...
Lack of Electricity is the major problem faced by developing nations. Out of 571742 villages in India 25722 villages are unelectrified according to recent report by Central Electricity Authority of India. With 30% subsidy provided by the Indian government, electrification through solar PV system in rural areas is economical considering their terrain. Although the average life cycle of PV panel is...
Classification is the process of developing a model which assigns records in a collection to predefined categories or classes. Various algorithms like K Nearest Neighbour, Naive Bayes, Support Vector Machine, and C4.5 have been implemented to develop a classification model. The ultimate goal of a classifier is to accurately predict the target class for a given set of input data. The process of classification...
Data hacking is very difficult to deal with today's electronic world. There are large numbers of technique used, for the secure communication of data. Images are widely used in different-different processes. So data hiding is used in the encrypted image, but the main problem is that distortion at the time of data extraction. Reversible data hiding in encrypted image is used to solve this problem....
Due to the advancement in data capturing and different communication technologies, large amount of videos available to the viewers on different video sharing websites. Hence, complexity increases in finding the video with desired contents. For these applications, the videos are available in an elementary form called shots in the initial step. Detection of shots requires extraction of various features...
Brain Computer Interface (BCI) is a system to control human brain activities. BCI system was useful for the disabled or paralyzed peoples. The main objective of this work is to develop a BCI system to classify EEG stimulus pattern for motor imagery. For the improvement of classification feature extraction should be best one. Here Common Spatial Pattern (CSP) technique has been applied for extraction...
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