Journal of Telematics and Informatics
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GREEDY ALGORITHM IN GREEDY REDUCTION EDUCATION GAME BASED ON ANDROID PLATFORM
No full textThe greedy algorithm is one of the simplest algorithms to solve the optimization problem. The greedy algorithm is able to solve the problem quickly. Greedy Reduction game is a game of mathematical reduction that uses the theory of greedy algorithm in the process of determining the player's victory in playing the game. Players who play this game have to answer the problem by solving the reduction operation with subtracting the number by selecting available numbers on the game, until it reaches the specified number of questions. Players will either win the game or produce a serial number if the numbers the player chooses to subtract fewer numbers from the numbers used by greedy. Tests conducted on this research is to use black box testing method. Based on the tests performed, greedy algorithm can be applied in solving the existing problems in Greedy Reduction game
New-fangled Technique for Fault Tolerant Control
No full textIn this paper Descending Viewer Method (DVM) projected for finding and fault tolerant control of stator inter-turn short circuit faults in doubly-fed induction generators based in wind turbine. A process has been developed that allows the way from ostensible controllers designed for strong condition, to vigorous controllers designed for defective condition. Finally value of the rotor resistance estimated & is based on the use of the error between real and probable value of doubly fed induction generator (DFIG) in faulty condition, this will perk up the performance of this viewer. Simulation results show the reliability of the proposed Descending Viewer Method (DVM) approach
Active Power Loss Reduction by Improved Particle Swarm Optimization Algorithm
Get PDFIn this paper an Improved Particle Swarm Optimization (IPSO) algorithm is proposed to solve the optimal reactive power Problem. In order to overcome the drawbacks of standard genetic algorithm (GA) and particle swarm optimization (PSO) , some improved mechanisms based on non-linear ranking selection, competition and selection among several crossover offspring and adaptive change of mutation scaling are adopted in the genetic algorithm, & dynamical parameters are adopted in PSO. The new population is produced through three approaches to improve the global optimization performance, which are elitist strategy, PSO strategy and enhanced genetic algorithm strategy. The effectiveness of the proposed algorithm has been compared with Gas and PSO, synthesizing a circular array, a linear array and a base station array. In order to evaluate the efficiency of the proposed algorithm, it has been tested in standard IEEE 118 & practical 191 bus test systems and compared other algorithms. Simulation results show that real power loss considerably reduced and control variables are within the limits
Heuristic Techniques On Weight Optimization Of Backpropagation Neural Network
Get PDFThe number of visitors the immigration office who made passport or passport renewal every month is very volatile, this problems make the Immigration Office maintain quality of service, thus requiring prediction methods when there will be a surge of visitors so that the quality of service is maintained. The immigration office should have some information to make predictions. Perfect information will make it easier , good predictions and accurate predictions. The exact method is one of the method predict accurately. Its called artificial neural network that a computational method mimics system of neural network biology. Artificial neural networks are formed to solve a particular problem such as pattern recognition or classification because of the learning process.This study uses Heuristic Backpropagation to increase the speed of the training process of neurons in making predictions
ANDROID APPLICATION “GAMARC” TO SUPPORT THE GREEN CAMPUS BICYCLE TRANSPORTATION CONCEPT – CASE STUDY UGM YOGYAKARTA
No full textUniversity of Gadjah Mada (UGM) is the oldest university in Indonesia located in Yogyakarta city, precisely in Bulaksumur region. In the framework of educopolis area, a conducive environment for learning process and responsive to ecology issues, the provision of campus bicycle service as one of the manifestation of the vision is required. In the process of borrowing bicycles in the preceding system exist some problems with the manual paper recording system used by some campus bicycle lending stations. As a response to the ineffectiveness of the previous campus bike lending service process, an Android – based lending application which facilitates services is necessary, concerning the mobility and touchy traits of communication among academic community that is more fluent in using the smartphone nowadays. This application is made by waterfall method using Android Studio software. Users of this application are Students, campus bike administrator, Lecturer and the internal employees of UGM (Civitas academica UGM). This research produced an UGM campus bicycle lending application called GamaRC. This application can facilitate users to make the process of borrowing and refunding the campus bike with barcode scanning facility. GamaRC application is expected to be implemented in the internal environment of UGM campus so that the concept of educopolis and green campus UGM can be fulfilled
Fuzzy Based Controlling For Accurate Temperature In Poultry Machinary
Get PDFGenerally, thermostat is used to control temperature manually. However, unstability temperature has rises during egg hatching proces operates. It’s coverage more than 38,2 0C and cannot automated controlled. Therefore, egg hatch temperature should be controlled to avoid the damage of eggs and sensor. To addresing this limitation, fuzzy logic based algorithm is proposed with arduino and DHT 11 are uses which controlled temperature is stabilizer. During experimentally setup, the result shows that using fuzzy logic and arduino is able to perform good controller of egg hatching machine. The productivity of egg becoming poultry is rises 92%. Experimental shows that, by wading 20 egg in hatching machine, the prototype device able to stabilized temperature in 15 minutes into 37-38,2 0C
Integer Programming for Scheduling Computation Alternative Machines Parallel Multi Operations
Get PDFThis paper deals with integer programming for computing alternative scheduling problems of multi-parallel machine operation. The purpose function used is weighted total tardiness. The model formulation comprises the formulation of the objective function and the formulation of the 16 limiting functions. The model was tested using a numerical example consisting of four multi-operation jobs and several machine alternatives in mathematical software Lingo 9. The programming results show that a feasible solution with a weighted total tardiness measure size of eight
Optimizing Group Discussion Generation Using K-Means Clustering And Fair Distribution
Get PDFThe development of computer-based learning system today can provide a different learning process in a teaching and learning process, but the problems faced by a teacher is the difficulty in grouping discussion group that has a different value of knowledge and skills, because usually this selection of discussion groups in e-learning is done based on the wishes of each student or randomly regardless of the data of knowledge and skills. This research was conducted with the aim of grouping the discussion groups based on the indicators of knowledge and skill by using k-means clustering analysis at SMK Sore Tulungagung. The knowledge and skills scores of class X students in Pekerjaan Dasar Elektromekanik subjects, The Competence of Electricity Installation Engineering will be used as the basic scores. Then, the students of class X were divided into 2 groups, namely the k-means based group and the random based group for further research. The mean score of knowledge and skills are before the learning process and after the results of the evaluation of the discussion group on the k-means based and the random based group. The k-means based class score increases 4,083 from the average. Before the learning, it was 83.292 and it becomes 87.375 after the evaluation, while the random based class only experienced an increase 0,083 from the average. Before the learning it was 81,250 and it becomes 81,333 after the learning evaluation. Based on the result, grouping the discussion group in a fair way in e-learning on the indicators of knowledge and skills using k-means clustering method shows more visible improvement, so k-means clustering is a more optimal method
Application of HOG Algorithm for Automated Room Control System
Get PDFThis study aims to develop a prototype of automated room control systems. The histograms of oriented gradients (HOG) algorithm is used to detect and count the people entering or coming out the room so that the use of electricity is more appropriate. The raspberry Pi microprocessor is used as a controller since it is efficient and can be expanded for monitoring over the web. The system testings show that the prototype can detect and count the number of incoming and outgoing people enough accurately with error rate of about 1.7%, while people entering or coming out the room not simultaneously, but can not detect and count accurately with error rate of about 43.3%, while two person walk close together through the door. Using the automated room control, the electronic equipments will be active when there are people in the room and the temperature below 200C
Hodotermitidae Optimization Algorithm for Reduction of Real Power Loss
Get PDFIn this paper, a unique technique, called Hodotermitidae Optimization (HO) algorithm, is utilized for solving reactive power problem. Hodotermitidae Optimization (HO) algorithm is an population based optimization method which is inspired from rational behaviours of Hodotermitidae. The projected Hodotermitidae Optimization (HO) algorithm provides an option making model which is used by Hodotermitidae to adjust their progress trajectories. Hodotermitidae move arbitrarily in the search space, but their trajectories are inclined towards regions with more pheromones. The proposed Hodotermitidae Optimization (HO) algorithm has been tested in standard IEEE 57,118 bus systems and simulation results demonstrate the commendable performance of the projected Hodotermitidae Optimization (HO) algorithm in reducing the real power loss