A new method to optimize geometric design of electrostatic sensor electrodes using particle swarm optimization

Optimization of electrostatic sensor electrodes plays a significant role to achieve more homogenous spatial sensitivity. Particle swarm optimization (PSO) is a simple method that has attracted many attentions in recent years. In this paper, the physical sizes of several electrodes for electrostatic sensors are optimized using the PSO technique. Spatial sensitivity of electrode is considered as objective function in this method. Additionally, the thickness and length of electrode are described as physical characteristics of electrode, which need to be optimized. In order to verify this optimization method, different electrodes are applied in laboratory. The optimal value of thickness and length of electrode according to the optimization and experimentation are 5mm and 6mm, respectively. As a result, there is a great agreement between the optimization and experimental results

Efektivitas Penerapan Pembelajaran Fisika Berbasis Multirepresentasi untuk Melatih Keterampilan Proses Sains Fisika Siswa Man 1 Pekanbaru

This research aims to determine the effectiveness of implementation of physics learning by multiple representation through practicing students' science process skills in lesson Newton's law in class X IPA1 MAN 1 Pekanbaru. The subjects were students of class X IPA1 totalling 29 students, consisting of 8 male students and 21 female students. The instrument of data collection in this study is the process skills test consists of 8 essay questions. Analysis of the data in this study is a descriptive analysis to see an overview of the results of the students' learning skills by using the criteria of absorption, the effectiveness of learning, and students' learning completeness. The analysis of the data showed: absorption class average is 81.68% with a good category, otherwise learning effectiveness declared in effective way, then completeness of learning's students classically worth 86.21% and declared complete, completeness of lesson by 75% and declared incomplete. Nevertheless, it can be concluded that implementation of physics learning by multi representation is could be used in learning process class X IPA1 MAN 1 Pekanbaru

Linear and nonlinear arx model for intelligent pneumatic actuator systems

System modeling in describing the dynamic behavior of the system is very important and can be considered as a challenging problem in control systems engineering. This article presents the linear and nonlinear approaches using AutoRegressive with Exogenous Input (ARX) model structure for the modeling of position control of an Intelligent Pneumatic Actuator (IPA) system. The input and output data of the system were obtained from real-time experiment conducted while the linear and nonlinear mathematical models of the system were obtained using system identification (SI) technique. Best fit and Akaike’s criteria were used to validate the models. The results based on simulation reveals that nonlinear ARX (NARX) had the best performance for the modeling of position control of IPA system. The results show that nonlinear modeling is an effective way of analyzing and describing the dynamic behavior and characteristics of IPA system. This approach is also expected to be able to be applied to other systems. A future study exploring the execution of other model structures in demonstrating the position control of IPA system would be exceptionally intriguing

Prediksi Erosi Tanah di DAS (Daerah Aliran Sungai) Paneki Kecamatan Biromaru Kabupaten Sigi

The aims of this study were to predict soil erosion and to determine erosion threat index occurred in the Paneki watershed, Pombewe village Biromaru district Sigi Regency, Central Sulawesi. This study contributed as a source of information for the development of land use management as well as conservation of soil and water. Furthermore, it was important to complete a number of soil physical properties. The method used in this study was descriptive explorative by conducting survey in the research site, followed by primary and secondary data collection. In this study, it was required slope class maps, soil maps and land use maps application using ArcGIS 10.0 for obtaining four (4) land units, namely land, secondary forest, mixed farms, fields and cocoa plantations. Results of this study indicated that the physical characteristics of soil in some land use vary greatly with slow to moderate permeability, soil texture dominated by sandy loam and loam fractions. Both bulk density and C-organic content were high. Prediction of soil erosion rate using the USLE (Universal Soil Loss Equation) formula indicated that erosion threat index occured in Paneki watershed was classified at low to moderate levels with the average number of total allowable erosion was 74.12 tons ha-1 yr-1

Noise Reduction in Breath Sound Files Using Wavelet Transform Based Filter

The development of science and technology in the field of healthcare increasingly provides convenience in diagnosing respiratory system problem. Recording the breath sounds is one example of these developments. Breath sounds are recorded using a digital stethoscope, and then stored in a file with sound format. This breath sounds will be analyzed by health practitioners to diagnose the symptoms of disease or illness. However, the breath sounds is not free from interference signals. Therefore, noise filter or signal interference reduction system is required so that breath sounds component which contains information signal can be clarified. In this study, we designed a filter called a wavelet transform based filter. The filter that is designed in this study is using Daubechies wavelet with four wavelet transform coefficients. Based on the testing of the ten types of breath sounds data, the data is obtained in the largest SNRdB bronchial for 74.3685 decibels

A new technique to reduce overshoot in pneumatic positioning system

This paper presents a new approach for improving the performance of the pneumatic positioning system by incorporating a nonlinear gain function with observer system. System identification technique has been employed to represent the pneumatic system, while a model predictive control (MPC) with the observer system has been employed as the main controller to control the positioning of the system. The nonlinear gain function has been incorporated with the control strategy to compensate nonlinearities and uncertainties inherent in the parameters of the system. Unconstrained and constrained cases of control signals have been considered in this study. Simulation based on Matlab/Simulink indicated a reduction in overshoot of the system response for both cases due to additional nonlinear gain function in the strategy. Furthermore, remarkable enhancement was observed in effectiveness of this function while incorporated in constrained case, when this new strategy successfully improved the transient response in the pneumatic positioning system

Optimization of Modified Sliding Mode Controller for an Electro-hydraulic Actuator System with Mismatched Disturbance

This paper presents the design of the modified sliding mode controller (MSMC) for the purpose of tracking the nonlinear system with mismatched disturbance. Provided that the performance of the designed controller depends on the value of control parameters, gravitational search algorithm (GSA), and particle swarm optimization (PSO) techniques are used to optimize these parameters in order to achieve a predefined system’s performance. In respect of system’s performance, it is evaluated based on the tracking error present between reference inputs transferred to the system and the system output. This is followed by verification of the efficiency of the designed controller in simulation environment under various values, with and without the inclusion of external disturbance. It can be seen from the simulation results that the MSMC with PSO exhibits a better performance in comparison to the performance of the similar controller with GSA in terms of output response and tracking error