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Data Optimization on Multi Robot Sensing System with RAM Based Neural Network Method Image
Conference paper

Data Optimization on Multi Robot Sensing System with RAM Based Neural Network Method

Monitoring the environment activities is an attractive Abstract— Monitoring the environment activities is an attractive thing for development. That is because the human life would affect the surrounding environtment. There's a lot of research of environment has been done, one of those is the changes of air quality in urban areas. To measure the level of air quality, the data and information from field measurements and laboratory analysis result was needed. This paper review the research result that focus on sensor data processing in multi robot using RAM based neural network. There are 11 pattern input data were processed by temperature data optimization from 250C until 350C, humadity data from 20% until 60% and gas data from 350ppm until 450ppm. The obtained result is from 8 bits and 9 bits become 6 bits in certain level with optimazion percentage is25% and 33,3%. This result effect to the computationan load, it's become more simple, the execution time and data communication becomes faster.
Risk Management for Enterprise Resource Planning Post Implementation Using COBIT 5 for Risk Image
Conference paper

Risk Management for Enterprise Resource Planning Post Implementation Using COBIT 5 for Risk

Noise Reduction Technique for Heart Rate Monitoring Devices Image
Conference paper

Noise Reduction Technique for Heart Rate Monitoring Devices

Automated Vehicle Monitoring System Image
Conference paper

Automated Vehicle Monitoring System

Conference paper

Risk Management for Enterprise Resource Planning Post Implementation Using COBIT 5 for Risk

Risk Management for Enterprise Resource Planning Post Implementation Using COBIT 5 for Risk Image
Conference paper

Noise Reduction Technique for Heart Rate Monitoring Devices

Noise Reduction Technique for Heart Rate Monitoring Devices Image
Conference paper

Automated Vehicle Monitoring System

Automated Vehicle Monitoring System Image
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Cost Estimation System for Construction Project (CES\u002DCP) Image
Conference paper

Cost Estimation System for Construction Project (CES-CP)

Bill of Quantity is a form used by the contractor to submit a price to the owner in order to obtain a construction contract.It takes the ability and experience to make bill of quantity, not everyone can do it. The development of “Cost Estimation System for Construction Project (CES-CP)” is aims to assist people to make Bill of Quantity. The development of this application use FAST (Framework for the Application of Systems Techniques) methodology. This application stored the knowledge that required to make Bill of Quantity. It can show which one of the Work Unit Price are recommended for use on Bill of Quantity and which ones are not. All Work Unit Data that used on Bill of Quantity of a project will be stored and can be displayed at any time as a reference. This application helps people to make Bill of Quantity and make the process of making Bill of Quantity becomes more efficient.
Sensor Fusion and Fuzzy Logic for Stabilization System of Gimbal Camera on Hexacopter Image
Conference paper

Sensor Fusion and Fuzzy Logic for Stabilization System of Gimbal Camera on Hexacopter

Hexacopter has the ability to fly in the air can be used as an air monitoring system. To get the video or images that have good quality then it is used gimbal camera as a movement stabilizer and vibration damping. Stabilization System consists of two axes, x axis (roll) and y axis (pitch) and has a 2-axis camera gimbal controller which is have microcontroller ATMEGA 328 that serves to regulate the stability of the gimbal camera. The Input of this system is derived from accelerometer and gyroscope sensors that are within the sensor module MPU 6050, to determine the tilt position of hexacopter. The output of this sensor will be filtered first using complementary filters that serve to reduce noise of both sensors and complement advantages and disadvantages of each sensor. The output of this system is the movement of two brushless motors, brushless roll and pitch, that are controlled with Sugeno fuzzy logic method because it has a simple calculation so the response is faster and more suitable for real-time applications. From the case study with the data of the roll at by 35 º and pitch at by 17 º resulting PWM duty cycle value by -69.47% roll and pitch resulting PWM duty cycle value by -25.5 %, where (-) represents the direction of movement.
Simplification Complex Sentences in Indonesia Language Using Rule\u002DBased Reasoning Image
Simplification Complex Sentences in Indonesia Language Using Rule\u002DBased Reasoning Image
Conference paper

Simplification Complex Sentences in Indonesia Language Using Rule-Based Reasoning

Hand Gesture Recognition as Password to Open the Door with Camera and Convexity Defect Method Image
Hand Gesture Recognition as Password to Open the Door with Camera and Convexity Defect Method Image
Conference paper

Hand Gesture Recognition as Password to Open the Door with Camera and Convexity Defect Method

Fuzzy Logic Implementation on Enemy Speed Control to Raise Player Engagement Image
Fuzzy Logic Implementation on Enemy Speed Control to Raise Player Engagement Image
Conference paper

Fuzzy Logic Implementation on Enemy Speed Control to Raise Player Engagement

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Implementation of Quadcopter for Capturing Panoramic Image at Sedayu Bantul Image
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Implementation of Quadcopter for Capturing Panoramic Image at Sedayu Bantul