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Blind Adaptive Watermarking Based on Wavelet Transform and HVS
Get PDFThis paper proposes a novel blind image adaptive watermarking scheme in Discrete Wavelet Transform (DWT) domain for copyright protection or robust tagging applications. Watermarking scheme effectively utilizes the contrast sensitivity model of Human Visual System (HVS) to embed the watermark adaptively without degradation of the original image. Watermark can be extracted without referring to the original image. Simulation results show the robustness of the proposed algorithm against various attacks
D* lite algorithm based path planning of mobile robot in static Environment
Get PDFIn this paper, we study the path planning for khepera II mobile robot in an unknown environment. The well known heuristic D* lite algorithm is implemented to make the mobile robot navigate through static obstacles and find the shortest path from an initial position to a target position by avoiding the obstacles. and to perform efficient re-planning during exploration. The proposed path finding strategy is designed in a grid-map form of an unknown environment with static unknown obstacles. The robot moves within the unknown environment by sensing and avoiding the obstacles coming across its way towards the target. When the mission is executed, it is necessary to plan an optimal or feasible path for itself avoiding obstructions in its way and minimizing a cost such as time, energy, and distance. In our study we have considered the distance metric as the cost functio
Towards Authentication and Authorization – Electronic Medical Records
Get PDFThe Technological intervention in field of Computer Science and Information Technology has made it possible to access medical records of Individuals electronically. Electronic Health Records systems which are distributed and need to be interoperable too. Important Business drivers for such kind of high level of interoperability introduce unique citizen ID. Though citizen have access to data from central repository and they can directly communicate with health care providers, but when it comes to security and confidentiality, technology fails to meet the requirements. In this paper we suggest a framework for authentication and authorization of Electronic medical Records System in consideration .It will help to build An Secure-Privacy Protected Electronic medical Record System
An Intrigrated Novel Approach in MCDM under Fuzziness
Get PDFMultiple Criteria Decision Making (MCDM) shows promising areas of applications in the field of computational technique of proper project selection. There are four distinct families of methods in MCDM: (a) the outranking,(b) the theory based on value and utility, (c) the multiple objective programming and (d) collaborative decision and negotiation theory based method. An Analytical way to reach the best possible solution of project selection is most desirable. Analytical Hierarchy Process (AHP) is one of the best ways for deciding among the complex criteria structure in different levels. Fuzzy AHP is a synthetic extension of classical AHP method under fuzziness. A fuzzy decision may be viewed as an intersection of the given goals and constraints. A maximizing decision is defined as a point in the space of alternatives at which the membership function of a fuzzy decision attains its maximum value. This paper aims at the integration of fuzzy AHP and Additive Ratio Assessment Method (ARAS). It actually deals with a novel integrated approach of dual synthesis of project selection. At first fuzzy AHP, method is used to find the criteria coefficient with the performance evaluation in a certain environment where triangular fuzzy number describes the subjectivity of vagueness of the criteria. In the second phase, ARAS method is used to determine the rank of the final project selection
Modelling and Analysis of Composite Leaf Spring under the Static Load Condition by using FEA
Get PDFLeaf springs are one of the oldest suspension components they are still frequently used, especially in commercial vehicles. The past literature survey shows that leaf springs are designed as generalized force elements where the position, velocity and orientation of the axle mounting gives the reaction forces in the chassis attachment positions. Another part has to be focused, is the automobile industry has shown increased interest in the replacement of steel spring with composite leaf spring due to high strength to weight ratio. Therefore, analysis of the composite material becomes equally important to study the behavior of Composite Leaf Spring. The objective of this paper is to present modeling and analysis of composite mono leaf spring (GFRP) and compare its results. Modelling is done using Pro-E (Wild Fire) 5.0 and Analysis is carried out by using ANSYS 10.0 software for better understanding
Intake Manifold Noise Prediction Due to the Combined Effects of Combustion Loads and Fluid Flow
Get PDFReduced engine noise has contributed greatly to the comfort of today’s passenger vehicles. The trend towards lighter vehicles has led to massive increase in the use of plastic parts, especially for engine components such as intake manifolds and intake air pipes. The primary purpose of using a plastic material instead of conventional aluminum cast for intake manifold is to reduce its weight and cost. The engine power can be increased with the help of improved interior surface roughness and lowered air temperature. The increased usage of plastics for air intake manifold (AIM) production, in place of metallic materials, made the NVH optimization more complicated. In recent years, automotive engine manufacturers are increasingly focusing their attention on noise generated by plastic air intake manifolds (AIMs). The main objective is to predict the B12D engine intake manifold noise due to the combined effects of combustion loads and fluid flow pressure at various engine speeds (2000rpm-6400rpm). The meshing of intake manifold was done in finite analysis software HYPERMESH. The post processing was done in NASTRAN software to get the noise levels in AIM. The analytical results were validated by using experimental results
Determination of Characteristic Frequency for Identification of Hot Spots in Proteins
Get PDFIdentification of hot spots or protein-target binding sites in proteins using resonant recognition model requires the knowledge of characteristic frequency. For a successful protein target interaction, both the protein and the target signals must share the same characteristic frequency. The common characteristic frequency of a functional group of proteins is determined from the consensus spectrum obtained using DFT. In this work an alternative approach for identification of characteristic frequency using power spectral density is described. The performance of the proposed method is observed to be better than the DFT-based approach and is illustrated using simulation examples
Study of Optimal Design of Low Pass Block Digital Filter
Get PDFIn this paper design of low pass optimal block digital filter is compared with traditional low pass overlap-save block digital filter. Simulation results show that global error obtained by optimal method is lower than that obtained by traditional overlap-save method
MBER Space Time Equalization assisted Multiuser Detection
Get PDFA novel minimum bit-error rate (MBER) space–time-equalization (STE)-based multiuser detector (MUD) is proposed for multiple-receive-antenna-assisted space-division multiple-access systems. It is shown that the MBER-STE-aided MUD significantly outperforms the standard minimum mean-square error design in terms of the achievable bit-error rate (BER). Adaptive implementations of the MBER STE are considered, and both the block-databased and sample-by-sample adaptive MBER algorithms are proposed. The latter, referred to as the least BER (LBER) algorithm, is compared with the most popular adaptive algorithm, known as the least mean square (LMS) algorithm. It is shown that in case of binary phase-shift keying, the computational complexity of the LBER-STE is about half of that required by the classic LMS-STE. Our simulation results demonstrate that the MBER ST-DFE assisted MUD is more robust to channel estimation errors as well as to potential error propagation imposed by decision feedback errors, compared to the MMSE ST-DFE assisted MUD