5975 research outputs found
Sort by
Cloud Deployment Methods In Guarantee of Protection and Confidentiality Constraints
No full textDespite of the few advantages of moving venture basic resources for the Cloud, there are difficulties particularly identified with protection and confidentiality. It is essential that Cloud Users comprehend their protection and confidentiality needs, in view of their particular setting and select cloud demonstrate best fit to bolster these requirements. The writing gives works that emphasis on examining protection and confidentiality issues for cloud frameworks however such works don't give a methodological way to deal with evoke security and security necessities neither one of the methods to choose cloud arrangement models in light of fulfillment of these prerequisites by Cloud Service Providers. This work progresses the present cutting edge towards this bearing. Specifically, we consider necessities designing ideas to inspire and investigate protection and confidentiality prerequisites and their related instruments utilizing a calculated structure and an efficient procedure. The work presents confirmation as proof for fulfilling the protection and confidentiality necessities regarding culmination and reportable of security occurrence through review. This enables point of view cloud clients to characterize their affirmation prerequisites so that proper cloud models can be chosen for a given setting
Comprehensive Pineapple Segmentation Techniques with Intelligent Convolutional Neural Network
No full textThis paper proposes an intelligent segmentation technique for pineapple fruit using Convolutional Neural Network (CNN). Cascade Object Detector (COD) method is used to detect the position of the pineapple from the captured image by returning the bounding box around the detecting pineapple. Image background such as ground, sky and other unwanted objects have been removed using Hue value, Adaptive Red and Blue Chromatic Map (ARB) and Normalized Difference Index (NDI) methods. However, the ARB and NDI methods are still producing misclassified error and the edge is not really smooth. In this case Template Matching Method (TMM) has been implemented for image enhancement process. Finally, an intelligent CNN is developed as a decision maker to select the best segmentation image ouput from ARB and NDI. The results obtained show that the proposed intelligent method has successfully verified the fruit from the background with high accuracy as compared to the conventional method
Detection of Drug Interactions via Android Smartphone: Design and Implementation
No full textDespite the morbidity and cases of widespread drug poisoning, clinical guidelines are largely written by taking into account only one treatment at a time. The cumulative impact of multiple treatments is rarely considered. Drug treatment for people with several diseases produces a complex regimen called ”polypharmacy” with a potential combination of harmful and even lethal drugs that can be prevented. This polypharmacy causes in many cases the death of some people due to drug interactions. The vast majority of these deathscan be prevented by detecting interactions before taking these medications. But the problem is that such information exists in a state that is difficult to access for the general public, much less for people with little knowledge in the field. Although the pharmacist is unmistakable and most viable source to avoid such a problem, he cannot know what the patient does not mention because he is not aware of what may affect his treatment. To remedy this, we aimin this paper to develop an ergonomic Android application that will inform the patient about the potential risks of such drug interactions. The application is optimized to handle various databases and operate automation of QR code.
Hardware/Software Co-design for a Parallel Three-Dimensional Bresenham’s Algorithm
No full textLine plotting is the one of the basic operations in the scan conversion. Bresenham’s line drawing algorithm is an efficient and high popular algorithm utilized for this purpose. This algorithm starts from one end-point of the line to the other end-point by calculating one point at each step. As a result, the calculation time for all the points depends on the length of the line thereby the number of the total points presented. In this paper, we developed an approach to speed up the Bresenham algorithm by partitioning each line into number of segments, find the points belong to those segments and drawing them simultaneously to formulate the main line. As a result, the higher number of segments generated, the faster the points are calculated. By employing 32 cores in the Field Programmable Gate Array, a line of length 992 points is formulated in 0.31μs only. The complete system is implemented using Zybo board that contains the Xilinx Zynq-7000 chip (Z-7010).
An adaptive neural network controller based on PSO and gradient descent method for PMSM speed drive
No full textIn this paper, based on the combination of particle swarm optimization (PSO) algorithm and neural network (NN), a new adaptive speed control method for a permanent magnet synchronous motor (PMSM) is proposed. Firstly, PSO algorithm is adopted to get the best set of weights of neural network controller (NNC) for accelerating the convergent speed and preventing the problems of trapping in local minimum. Then, to achieve high-performance speed tracking despite of the existence of varying parameters in the control system, gradient descent method is used to adjust the NNC parameters. The stability of the proposed controller is analyzed and guaranteed from Lyapunov theorem. The robustness and good dynamic performance of the proposed adaptive neural network speed control scheme are verified through computer simulations
9-Level Single DC Voltage Source Inverter Controlled Using Selective Harmonic Elimination
No full textThis paper presents an efficient cascaded H-bridge inverter topology that is controlled using an optimized selective harmonic elimination pulse width modulation technique. The switching angles are obtained by solving the nonlinear transcendental equation with the aid of genetic algorithm optimization method. Unlike the usual H-bridge converter topologies that require multiple individual direct current (DC) sources and additional switching components per voltage step, the proposed topology utilizes a single DC source to supply two full-bridge modules. The modified topology employs a cascaded multi-winding transformer that has two independent primary windings and series-connected secondary side with 1:E and 1:3E turn ratios. The converter topology and switching function are proven to be reliable and efficient, as the total harmonic distortion (THD) is quite low when compared with the conventional H-bridge topology controlled by other modulation techniques. This feature makes it attractive to renewable energy systems, distributed generation, and highly sensitive equipment such as those used in medical, aerospace, and military applications. The topology is simulated using a PSIM package. Simulation results show that all the 11-level lower order odd harmonics are eliminated or suppressed in compliance with the SHE elimination theorem of (N-1)
MAXIMUM POWER POINT TRACKER USING FUZZY LOGIC CONTROLLER WITH REDUCED RULES
No full textThis paper presents a fuzzy logic controller for maximum power point tracking (MPPT) in photovoltaic system with reduced number of rules instead of conventional 25 rules to make the system lighter which will improve the tracking speed and reduce the static error, engendering a global performance improvements. in this work the proposed system use the power variation and current variation as inputs to simplify the calculation, the introduced controller is connected to a conventional grid and simulated with MATLAB/SIMULINK. The simulation results shows a promising indication to adopt the introduced controller as an a good alternative to traditional MPPT system for further practical application
The Embedding Performance of StegSVM Model in Image Steganography
No full textThis paper focuses on one of the areas of information hiding which is image steganography. It proposes the StegSVM model as an embedding technique in steganography that has exploited human visual system through Shifted LSB that shows an expected performance. The performance of this technique evaluation is based on imperceptibility and robustness of the technique compared to the other previous models in image steganography doamin. Thus, the result shows that the proposed StegSVM model is promising. For further work, it is suggested that the other image domain through other intelligent methods should be investigated
Voltage & Current Magnitude Pattern Recognization by Using Fuzzy Logic Toolbox for Fault Types Classification
No full textThis research introduces the appropriate input pattern of Fuzzy Logic design for fault type classification of Single Line to Ground Fault at distribution network. The proposed design is solely using Fuzzy Logic as the research technique with input data from PSCAD simulation. PSCAD software simulate the circuit configuration for fault disturbance at the distribution network. The research technique was applied with multiples input values of voltage and current that extracted from the PSCAD simulation. This research testifies the output result by using different fault resistance values; 0.01Ω, 10Ω, 30Ω, 50Ω and 70Ω. Voltage sag and current swell of phase a, b and c that were obtained from the PSCAD simulation have been used as the input variables for Fuzzy Logic design. The acquired results that represented in average accuracy shown that voltage sag and current swell can draw a satisfying accuracy in classifying the fault type
Traffic Light Signal Parameters Optimization using Modification of Multielement Genetic Algorithm
No full textIn this research, a traffic light signal optimization is presented for solving the traffic congestion problem using modification of the Multielement Genetic Algorithm. The aim of this method is to improve the lack of vehicle throughput () of previous works called as traffic light signal optimization using the Multielement Genetic Algorithm (MEGA) and Particle Swarm Optimization (PSO). In this case, the modification of MEGA is done by adding hash table for saving some best populations and accelerating the recombination process of MEGA. Therefore, the modification of MEGA (the MEGA is equipped by hash table)is called as H-MEGA. It means the H-MEGA is forced to work as PSO like which search the solution in entire particle (based on some best populations). The H-MEGA is employed to find the best signal parameters of real Ooe Toroku Road Network in Kumamoto City, Japan. The experimental results confirm that the H-MEGA based optimization method provides better performance than MEGA and PSO based methods. In detail, the H-MEGA improves both (F_{F}$ of MEGA and PSO based optimization methods by about 10.01\% (from 82,63% to 92.64%) and 6.88% (from 85.76% to 92.64%), respectively. In addition, the proposed method significantly improve the real (F_{F}) of Ooe Toroku road network of Kumamoto City, Japan about 21.62%