Detection and Prevention System towards the Truth of Convergence on Decision Using Aumann Agreement Theorem

AbstractThe Detection and Prevention system against many attacks has been formulated in Mobile ad hoc networks to secure the data and to provide the uninterrupted service to the legitimate clients. The formulation of opinion of neighbors or belief value or Trust value plays vital role in the detection system to avoid attacks. The attack detection system always extracts the behaviors of nodes to identify the attack patterns and prediction of future attacks. The False positives and false negatives plays vital role on identification of attackers accurately without any false positives and negatives .Our system uses the Aumann agreement theorem for convergence of Truth on opinion based on the bound of confidence value, such that truth consensus will maintained, The accuracy of system will be enhanced through this methodolog

EFFECT OF MOISTURE CONTENT ON SOME PHYSICAL , MECHANICAL PROPERTIES OF LIMA BEAN ( PHASEOLUS LUNATUS ), AN UNDERUTILIZED COMMON FOOD LEGUME

The physical and mechanical properties of lima bean seeds were determined as a function of moisture content in the range between 11.02 and  0.05 to 24.15± 0.12 .The physical and mechanical properties of lima bean seeds were determined as a function of moisture content in the range of 11.02 ± 0.05 to 24.15± 0.12  d.b.The length, width and breadth of the lima bean seeds increased from 15.32 ± 0.72 to16.16 ± 0.31 mm, 7.92 ±  0.27 to 9.02  ± 0.10 mm, 4.94 ± 0.24 to 5.68 ± 0.26 mm, respectively, with increase in moisture content from 11.02 ± 0.05 to 24.15± 0.12  d.b.One thousand seed weight increased linearly from 423 ± 0.24 to 532 ± 0.32 g. The bulk density decreased from 0.662 ± 0.03 to 0.583 ± 0.13 gcm, while the true density increased from 0.918 ± 0.03 to 1.153 ± 0.13 gcm-3 in the moisture content range. The porosity and sphericity values of lima bean seed increased linearly from 27.88 ± 0.05 to 49.43 ± 1.12, 0.548 ± 0.01 to 0.579 ± 0.09 . The maximum static coefficients of friction were noticed on rubber surface, followed by stainless steel, plywood, galvanized iron, aluminium and glass surfaces. The results are necessary for design of equipment to handling, transportation, processing, and the storage of lima bean seed.Keywords: Lima bean, physical and mechanical properties, moisture content, coefficient of friction, thousand seed mass

A Medical Analysis for Colorectal Lymphomas using 3D MRI Images and Deep Residual Boltzmann CNN Mechanism

In this technological world the healthcare is very crucial and difficult to spend time for the wellbeing. The lifestyle disease can transform in to the life threating disease and lead to critical stages. Colorectal lymphomas are the 3rd most malignancy death in the entire world. The estimation of the volume of lymphomas is often used by Magnetic Resonance Imaging during medical diagnosis, particularly in advanced stages. The research study can be classified in multiple stages. In the initial stages, an automated method is used to calculated the volume of the colorectal lymphomas using 3D MRI images. The process begins with feature extraction using Iterative Multilinear Component Analysis and Multiscale Phase level set segmentation based on CNN model. Then, a logical frustum model is utilized for 3D simulation of colon lymphoma for rendering the medical data. The next stages is focused on tackling the matter of segmentation and classification of abnormality and normality of lymph nodes. A semi supervised fuzzy logic algorithm for clustering is used for segmentation, whereas bee herd optimization algorithm with scale down for employed to intensify corresponding classifier rate of detection. Finally, classification is performed using Deep residual Boltzmann CNN. Our proposed methodology gives a better results and diagnosis prediction for lymphomas for an accuracy 97.7%, sensitivity 95.7% and specify as 95.8% which is superior than the traditional approach

An exhaustive research and analysis on seismic performance of prefabricated concrete shear wall structure

In order to accelerate the process of building industrialization, improve the overall stability and construction quality of the building. In this paper, a bolted connection method is designed to study the seismic performance of the composite concrete shear wall specimens with horizontal split joints from the aspects of bearing capacity, ductility, energy dissipation, deformation capacity and failure mode. The test results show that the bolted concrete shear wall is feasible and the connectors can effectively connect the upper and lower precast shear walls to form a whole with certain lateral stiffness. The energy dissipation capacity of the specimens is similar to that of other prefabricated concrete shear wall structures with “self-reduction”. The displacement Angle is greater than 1/120 of the limit value of the displacement Angle between elastic-plastic layers under the action of large earthquakes, and the specimen has good deformation capacity. The energy dissipation capacity of the structure from dynamics perspective reveals that smaller capacity of the specimen by providing energy dissipation factor E= 0.24 and equivalent viscous damping coefficient of 0.038

Design and development of an instrument for non- destructive fabric weight measurement

In this study, an image processing approach for fabric weight measurement has been proposed and tested. The system involves digital capturing of image using a microscope and then its processing in simple steps using image processing software (MATLAB). The study is conducted using a range of woven fabric samples. The fabrics have been conventionally weighed using an electronic weighing balance, and digital images of the sample fabrics are obtained and processed. The process involves application of suitable filters to obtain weft count, warp count, EPI, PPI and yarn crimp. The values are then substituted in standard formula to obtain the fabric weight. The study shows that the results of the proposed method of image processing, based on fabric weight measurement, are well correlated with the results of conventional method of measurement

Design of Microstrip Patch Antenna for Industrial Routers Applications

The proposed antenna has a simple structure comprising of two radiating strips and a coupling strip which serves to enhance the bandwidth at high frequency. The antenna has been designed to cover X bands (8-12GHz). The designed antenna only occupies a small area of 9×8.7 mm2 on the system circuit board. Byadjusting the shape, location and size of the antenna, the return loss is effectively reduced, while the efficiency of the antenna is preserved. This antenna is helpful to incorporate into industrial routersfor next generation wireless systems

Brain Tumor Detection and Classification of MR Images Using SVM Algorithm

Brain tumor is a mass of tissue and it occurs an abnormal growth of cells, then it form within the brain. To identifying tumor detection and classification using brain MRI image. There are several algorithms are developed for brain tumor detection and classifications in the field of medical image processing.In this undertaking we have proposed a crossover calculation for recognition cerebrum tumor in Magnetic Resonance pictures utilizing measurable highlights and Support Vector Machine (SVM) classifier. The proposed procedure comprises of four phases specifically, Noise decrease, Feature extraction, Feature decrease and Classification. In the first stage anisotropic filter is applied for noise reduction and to make the image suitable for extracting features. In the second stage, acquires the surface highlights identified with MRI pictures. In the third stage, the highlights of attractive reverberation pictures have been decreased utilizing Principles Component Analysis (PCA) to the most fundamental highlights. At the last stage, the Supervisor classifier based SVM has been utilized to group subjects as ordinary and strange mind MR pictures