Journal of Electrical Engineering and Computer Science (JEECS)—Open Access Journal

Abstract : Picture handling and example acknowledgment calculations set aside more effort for execution on a solitary center processor. Illustrations Processing Unit (GPU) is progressively mainstream now-a-days because of their speed, programmability, minimal effort and progressively inbuilt execution centers in it. A large portion of the analysts began work to utilize GPUs as a handling unit with a solitary center PC framework to speedup execution of calculations and in the field of Content based clinical picture recovery (CBMIR), Euclidean separation and Mahalanobis assumes a significant job in recovery of pictures. Separation recipe is significant on the grounds that it assumes a significant job in coordinating the pictures. Right now, we parallelized Euclidean separation calculation on CUDA. CPU with Intel® Dual-Core E5500 @ 2.80GHz and 2.0 GB of principle memory which run on Windows XP (SP2). The following stage was to change over this code in GPU position for example to run this program on GPU NVIDIA GeForce arrangement 9500GT model having 1023 MB of video memory of DDR2 type and transport width of 64bit. The realistic driver we utilized is of 270.81 arrangement of NVIDIA. Right now, the CPU and GPU form of calculation is being actualized on the MATLAB R2010. The CPU adaptation of the calculation is being dissected in straightforward MATLAB however the GPU variant is being executed with the assistance of moderate programming Jacket-win-1.3.0. For utilizing Jacket, we need to make a few changes in our source code so to make the CPU and GPU to work at the same time and accordingly lessening the by and large computational speeding up. Our work utilizes broad use of exceptionally multithreaded design of multicored GPU. An effective utilization of shared memory is required to enhance equal decrease in Compute UnifiedGadget Architecture (CUDA), Graphic Processing Units (GPUs) are developing as amazing equal frameworks at a modest expense of two or three thousand rupees.
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Abstract : This paper contains the research report of the simulation of robot arm of model ISO18E using simulink software to achieve reproducing a robot arm that will mimic the functionality and control of an authentic human arm at different joints. The challenges were found to be the ability to determine the basic characters of the robot arm including evaluating the positioning in simulation and the model cost. The method used to get the results was simulation of a modeled robot arm ISO18E in a software environment (simulink software). In the research the modeled robot arm, five joints were simulated referencing the authentic human arm and its joints. The human joints taken into considerations were the shoulder, elbow, wrist, metacarpophalangeal and the interphalangeal joints. The results of controlling effects of the simulated robot arm were compared with the prototype of real human arm and from the comparison it was found that the robot arm was able to be simulated to have same angular rotation per instant time at each joint as the real human arm. This research will proffer a reasonable assistance to the armless and deformed community to accomplish a task without stress and constraints in gripping, manipulating and controlling with the aid of this robot arm.
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Abstract : This paper gives a brief overview of Big data and data analysis using twitter application. For running a successful business, we must deal with a large amount of data. This paper explains methods for storing, Designing and examine a large amount of real-time data. For making productive decisions for real-time application, we are fetching the real-time data from the Twitter Application. We are using the Twitter Application for our source of data. Twitter's acceptance in the social media gives the bunch of data assets (that is information) and led towards the research in the different area. Demographic, academic, social science, stock predictions are some of the most famous examples for researchers.
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Abstract : Face assume a significant job in recognizing individuals. What truly acknowledges the Researchers can perceive faces. A huge number of individuals perceive faces, and albeit visual improvements have experienced real changes, it is essential to recognize well-known faces, conditions, appearances, ages, sexes, and issues, for example, eyeglasses or haircut changes. Numerous ongoing occasions, for example, psychological oppressor assaults, have demonstrated that the most current security frameworks are genuinely defective. Different government organizations are currently urged to improve their wellbeing information frameworks dependent on physical or conduct qualities, frequently alluded to as biometric sources. Face Detection (FD) is a fundamental biometric include that spotlights on building up numerous calculations to execute an assortment of frameworks. FDD is one of the fundamental advancements that help Human-PC Interaction (HCI). In this manner, FD face arrangement, face check/confirmation, sexual orientation/age acknowledgment and face acknowledgment (FR) are the principle ventures of every single algorithmic calculation. This paper intends to propose another psychological oppression discovery calculation. Different changes and face discovery capacities can be proposed. This objective is executed at various stages and uses diverse proposed calculations. Initial, an amazing propelled format comprising of calculations, the present innovation viewpoint utilized in the prese
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Abstract : The thought spotlights on giving the data in regards to the pesticide suggestion and the measure of pesticide to be utilized for an undesirable harvest. The client, who is the Farmer clicks an image of the harvest and transfers it to the server by utilizing the android application introduced in portable or by utilizing website page. Subsequent to transferring the picture the rancher taps the Predict catch which is shown on screen. At that point transferred picture is handled and appropriately the highlights of that picture are removed. In view of those highlights the characterization of picture is finished utilizing Convolutional neural system and the classes having greatest likelihood is chosen. At that point the outcome comprising of the illness name is recovered. This outcome is then transferred into the message table in the server and recovered in portable application or on the site page where relating data, for example, pesticide name, measure of pesticide to be utilized and natural pesticides which are put away. Presently the Farmer will probably recover the total data in a respectable arrangement on the screen of the Application
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