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Cloud computing is the apt technology for the decade. It allows user to store large amount of data in cloud storage and use as and when required, from any part of the world, via any terminal equipment. While Cloud services offer flexibility, scalability and economies of scale, there have been commensurate concerns about security. On the similar terms, we have chosen to make use of a combination of authentication technique and key exchange algorithm blended with an encryption algorithm. In this project, we have proposed to make use of 3DES algorithm which is a well-known symmetric cryptosystem and is widely used for secure data transmission, along with that we will blend it with Random Key Generator and Graphical Password to add an extra security measure. This proposed architecture of three way mechanism and the use of symmetric method of encryption make it tough for hackers to crack the security system, thereby protecting data stored in cloud.
The wavelet transform is widely used in image processing algorithms. In this paper two different wavelet compression techniques are applied on the image. The compression is performed using EZW and SPIHT wavelet based compression techniques. In compression, wavelets have presented a good flexibility to a wide range of data, while being of reasonable complexity. These techniques are more efficient and provide a better quality in the image. The techniques are compared by using the performance parameters Peak Signal to Noise Ratio (PSNR), Mean Square Error (MSE), Compression Ratio (CR) and Bit rate (BR) at different threshold. In the end the conclusion is observed to know which technique is better for image compression. It is observed that compression ratio for SPIHT is better as compared to compression ratio of EZW.
An adequate blood supply is required for the normal functioning of all organs in the body. However this flow can be impeded due to several reasons, thrombus or clot being a major one. Detection of such clots is done with the help of an imaging technique called “DOPPLER ULTRASONOGRAPHY” by transmitting an ultrasound pulse and calculating the frequency of the received signal. If there is no clot the reception is always a homogenous signal, whereas if a certain part being sonographed has a clot the received signal shows a variance in frequency which depends upon the distance from the receiver. Hence blood clot detection in ultrasonography is based on obtaining the frequency variance and applying adaptive thresholding.In this work we propose a ZOOM FFT based technique followed by automated adaptive thresholding to detect the clot. Data files are synthesized by simulation in MATLAB. Also the entire system is developed in a Matlab environment for the system to be both simple
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In wireless sensor network nodes position estimation in space is known as localization. Node localization in wireless sensor network is important for many applications and to find the position with Received Signal Strength Indicator requires a number of anchor nodes. However the estimation of distance from signal strength decay in not very accurate especially in time varying environmental conditions and the estimation of exact direction required highly directive antenna but, may still affected by multipath fading. A Genetic Algorithm for wireless sensor network localization is proposed in this paper to solve the issue that the positioning accuracy is low with minimum anchor nodes. Hence in this paper we are presenting a Genetic algorithm for optimization approach which tries to find the optimal location by satisfying both the criteria with minimal error. The simulation results also shows effectively outperform both the techniques.
Tecmax are the quality isolation transformer manufacturers are unit Republic of India based mostly manufacturer, businessperson and provider of Comprehensive Isolation transformers. It’s wont to decouple 2 circuits and permit AC signal or power to be taken from one device to a different while not connecting to 2 circuits electrically.
This paper presents the generation of optical carrier suppressed signal for RoF system. RoF refers to an analog transmission over fiber technology where light is modulated by radio frequency (RF) signal and transmitted over an optical fiber link to wireless access. Both optical carrier suppression and signal modulation are made by using a Dual-Drive Mach-Zehnder modulator (DD-MZM). Suppressed carrier modulation is achieved by biasing at the null point of DD-MZM. Optical carrier suppression improves the performance of RoF system such as link gain and noise figure (NF).In this research, a single RF at 2100 MHz having data rate of a 1 Gbps modulates the 1550.12 nm optical carrier in the DD-MZM. In this paper, the carrier suppression and performances of RoF system are investigated by theory and simulation. The various values of optical carrier suppression ratio can be obtained by adjusting the extinction ratio of the DD-MZM.
This paper presents the design of different filtering techniques for the Neuro-Biomedical signals in single electrode EEG collected Brainstem Speech Evoked Potentials data of Audiology for the Signal-to-Noise Ratio performance evaluations. We have designed Yule-Walk multiband filter, Cascaded Yule-Walk-Comb-Peak filter; conventional Wavelet transform filters of Daubechies, Symlet, Coiflet Wavelets for these Auditory Brainstem Responses. In addition we have designed a Translation-Invariant (TI) Wavelet estimation filtering technique which is highly useful. In our research the idea of Cascaded Yule-Walk-Comb-Peak filter is giving us a considerable improvement in SNR over Yule-Walk filter; and the conventional wavelets are performing far better that too specifically Daubechies wavelets are performing better than all. The TI wavelets technique is performing exceptionally well and better than conventional wavelets.
In this paper a new scheme is proposed for progressive image transmission over coded Orthogonal Frequency Division Multiplexing (OFDM) system with Low Density Parity Check Coding (LDPC). Trigonometric transforms are used in this scheme for improving the performance of the OFDM systems and reducing the PeakTo- Average Power Ratio (PAPR) of OFDM signal. It improves the error resilience ability and transmission efficiency for progressive image transmission over Additive White Gaussian Noise (A WGN) channel. The Set Partitioning In Hierarchical Trees (SPIHT) algorithm is used for source coding of the images to be transmitted. In the proposed scheme the transmit data sequence of the OFDM signal after Inverse Fast Fourier Transform (lFFT) is grouped into in-phase and in-quadrature components, then each component is transformed using either the Discrete Cosine Transform (DCT) or the Discrete Sine Transform (DST). The simulation results show that adding the DST to the system im
The heart rhythm is directly related to the electrical activity of the heart. Electrocardiogram (ECG) is generally used for obtaining information about the heart rhythm. In this paper, a method for calculating heart rhythm variation using the Phonocardiogram (PCG) and a method for finding characteristics of the that signal is described.