High Throughput Robust Face Recognition using SVD

In practice, there is no guarantee that the collected data would cover all different occlusions for all identities of interest. Here proposed an iterative method to address the face identification problem with block occlusions of two characteristics in order to model contiguous errors (e.g., block occlusion) effectively. The first describes a tailored loss function. The second describes the error image as having a specific low-rank image comparison structure. In this paper shown that joint characterization is effective for describing errors with spatial continuity. Our approach is computationally efficient due to the utilization of the alternating direction method of multipliers. Using of the fast iterative algorithm leads to the robust representation method, which is normally used to handle non-contiguous errors. Extensive results on representative face databases document the effectiveness of our method over existing robust representation methods with respect to both identification rates and computational time

ANTI-ARTHRITIC AND ANTI-INFLAMMATORY ACTIVITY OF ETHANOLIC LEAF EXTRACT OF ORMOCARPUM SENNOIDES

Objective: The study focuses on evaluating the anti-inflammatory and anti-arthritic activity of ethanolic extract of Ormocarpum sennoides (Os), a herb belonging to the family fabaceae. Both in vitro and in vivo methods were employed to study the anti-inflammatory activity of Os extract.Methods: The in vitro analysis of Os extract was performed by HRBC membrane stabilization and protein denaturation methods. The in vivo analysis was done by Formalin-induced paw edema and acetic acid induced writhing test using wistar male albino rats as an animal model.Results: The in vitro analysis revealed the inhibition of hemolysis and protein denaturation in a dose-dependent manner in concentrations ranging from 50-500 µg/ml. The in vivo study showed that Os extract reduced the number of paw lickings and abdominal writhing significantly at dosage concentrations of 200 mg/kg body weight and 300 mg/kg body weight compared with standard diclofenac sodium (p<0.05).Conclusion: These results support the application of Os extract in ailing arthritis and treatment of painful inflammatory conditions.Keywords: Anti-inflammatory activity, Anti-arthritic activity, Ormocarpum sennoides, Rheumatoid arthriti

Reliable and Fast Forgery Detection using FINE GRAINED approach

Forensic science encompassing the recovery and investigation of material found in digital devices, often in relation to computer crime. A digital forensic investigation commonly consists of 3 stages: acquisition or imaging of exhibits, analysis, and reporting. Previously, it is able to detect tampered images at high accuracy based on some carefully designed mechanisms,localization of the tampered regions in a fake image still presents many challenges, especially when the type of tampering operation is unknown. Later on, necessary to integrate different forensic approaches in order to obtain better localization performance. However, several important issues have not been comprehensively studied, to improve/readjust proper forensic approaches, and to fuse the detection results of different forensic approaches to obtain good localization results. In this paper, we propose a framework to improve the performance of forgery localization via implementing tampering possibility maps along with fusion based technique. In the proposed framework, we first select and improve existing forensic approaches, i.e., copy-move forgery detector and statistical feature based approach, and then improve their results to obtain tampering possibility maps

Experimental Investigation on performance of silica fumes as a soil stabilizer for oil contaminated strata

Oil leakage is an environmental issue unnoticed in the present time. The problem of oil leakage and oil contamination is main concern for petroleum harvesting countries. Oil contamination in soil creates health issues in the area surrounding it. The nutrients in the soil get reduced significantly due to oil contamination which makes the land not suitable for cultivation. The oil produces hydrocarbons which makes the civil structures weak and out at risk. The most harmful effects of oil contamination are excessive settlement of structures, breakage of underground pipes, etc. In this project, we are trying to study the effects of oil contamination in the soil and also to find a sustainable solution for it. The soil is contaminated in the percentage from 0 to 20% and the tests on index and engineering properties have been conducted to find the effect of engine oil. In order to stabilize the oil contaminated soil, we use silica fumes as a stabilizing agent. The optimum percentage of silica fume is chosen based on the tests of Index and Engineering properties conducted on the soil with silica fumes. The percentage of oil where the soil properties need stabilization is known and the soil is stabilized with the optimum silica fume percentage

An Efficient and Low Density Crossbar Switch Design for NoC

Code Division Multiple Access (CDMA) is a sort of multiplexing that facilitates various signals to occupy a single transmission channel. In this medium, sharing is enabled in the code space by assigning a limited number of N-chip length orthogonal spreading codes to the processing elements sharing interconnect. Serial and parallel overloaded CDMA interconnect (OCI) architecture variants are presented to adhere to different area, delay, and power requirements. Compared with the conventional CDMA crossbar, on a  Xilinx  Artix-7  AC701  FPGA  kit,  the  serial  OCI crossbar achieves 100% higher bandwidth, 31% less resource utilization, and 45% power saving, while the parallel OCI crossbar achieves N times higher  bandwidth  compared with the serial OCI crossbar at the expense of increased area  and power consumption. A 65-node OCI-based star NoC is implemented, evaluated, and compared with an equivalent space division multiple access based torus NoC for various synthetic traffic patterns. The evaluation results in terms of the resource utilization and throughput highlight the OCI as a promising technology to implement the physical layer of NoC routers

DWT and SWT based Image Super Resolution without Degrading Clarity

This project presents a self-similarity-based approach that is able to use large groups of similar patches extracted from the input image to solve the SISR problem. It introduce a novel prior leading to the collaborative filtering of patch groups in a 1D similarity domain and couple it with an iterative back-projection framework. The performance of the proposed algorithm is evaluated on a number of SISR benchmark data sets. Without using any external data, the proposed approach outperforms the current non-convolutional neural network-based methods on the tested data sets for various scaling factors. As an extension of this project, Discrete and Stationary Wavelet Decomposition is proposed to improve accuracy levels

The role of international anti-corruption regulations in promoting socially responsible practices.

We analyze how international anti-corruption rules impact the behavior of multinational firms in promoting sustainable practices. Competition from multinational firms is expected to lower bribe rents and hence corruption in host countries. However, we argue that the competition between domestic and multinational firms is unequal as (only) the latter face greater monitoring and sanction through international anti-corruption regulations. We develop a game theoretic model of bribing to examine the strategic response of firms under conditions of unequal competition. We show that under certain conditions the bribing probability of domestic firms increases when multinational firms facing greater penalties refrain from bribing. We use an agent-based simulation to analyze industries with heterogeneous firms, showing that the optimal strategies converge to the Nash equilibrium, and identify the major drivers of profitability and bribing

Selective Video Coding based on Bezier Curves

In this paper the problem of reconstruction of video frames is addressed, when there are missing pixels in each video frame or is corrupted with noise and also the locations of corrupted pixels are not known. The modified data can be corrected using Forward Error Correcting Codes. Forward Error correcting codes detect and correct errors with the help of complex decoders. This work proposes a new approach called Selective encoding for reconstruction of Video Frames from Error. This algorithm combines the Bezier curves over Galois Field GF (p^m) and the Low Density Parity Check Codes for performing encoding and decoding. The proposed decoder is capable of detecting and correcting errors in each video frame, where only selected pixel values are encoded and decoded. This reduces the decoding time significantly. Further, when binary representation of the Galois Field is used, the speed of the decoder is enhanced as there is no carry generation and carry propagation when any modular arithmetic operation is carried out. Further time complexity is improvised by using parallel processing. The coding of the algorithm is carried out using MATLAB

Assessment of chilli varieties in Salem district for higher productivity

Chilli is an important spice which is grown throughout India. Chillies are integral and the most important ingredient in many different cuisines around the world as it adds pungency, taste, flavour and color to the dishes. Chilli is grown in Kolathur block of Salem district in an area of nearly 879 ha. The farmers are mainly growing the local varieties and private hybrids in kolathur block. During the farmers and scientist conference conducted at KVK, Sandhiyur (2013), the growers opted for new varieties (high yield, lengthy fruit, good pungency, and colour retention during storage). An onfarm trial was conducted in pannavadi village of kolathur block. In this study three varieties (Lalima, LCA 625 and Kovilpatti 2) were assessed for yield, pest disease tolerance and quality parameters. LCA 625 gave an average yield of 6.2-6.8 t / ha, fruit length of 9-11 cm, good pungency and good colour retention during storage compared to other two varieties. The colour of dry chilli during storage was orange compared to Lalima with bright attractive red colour. Hence in the market Lalima fetched more price than the other two varieties. Hence, it is suggested for the Researchers that LCA 625 may be refined for marketable colour

Emulated Control System for a Nuclear Reactor

This paper discusses some of the instrumentation aspects of process control system developed for a nuclear power plant. Monitoring and controlling are the essential elements in the normal, abnormal and emergency operation of nuclear power plant. Through their sensors and transmitters, control systems measure process variables and inturn to control valves, motors and other electromechanical equipments of the nuclear plant. In this context, we have developed a Labview based such control system aimed at developing a real time system to deploy via IoT(Internet of Things). We represent here our conceptual design developed in Labview platform integrated with Arduino Uno microcontroller. The instrumentation and control system measures basic physical parameters like level, temperature and pressure using sensors. The monitoring and control of the temperature is done using virtual instrument software LabView, which acts as data acquisition module. It monitors performance and helps in controlling the nuclear plant operations to keep the process variables within the plant design limits and ensures the plant safety. The transmission of data from one end to another end is done through wireless technology ZigBee, to monitor and analyzeplant processes and equipment on the Labview platform