- Chaos control and synchronization
- Chaos-based Image/Signal Encryption
- Nonlinear Dynamics and Pattern Formation
- Quantum chaos and dynamical systems
- Computer Science and Engineering
- Engineering and Technology Innovations
- Educational Methods and Technology
- Cellular Automata and Applications
- Neural Networks and Applications
- Historical Astronomy and Related Studies
- Multimedia Learning Systems
- IoT-based Control Systems
- Edcuational Technology Systems
- Advanced Chemical Sensor Technologies
- Hand Gesture Recognition Systems
- Neural Networks Stability and Synchronization
- Decision Support System Applications
- Complex Systems and Time Series Analysis
- Spectroscopy and Chemometric Analyses
- Fractal and DNA sequence analysis
- EEG and Brain-Computer Interfaces
- Mathematical and Theoretical Epidemiology and Ecology Models
- Infant Health and Development
- IoT and GPS-based Vehicle Safety Systems
- Blockchain Technology in Education and Learning
Sunan Gunung Djati State Islamic University Bandung
2012-2023
Sultan Zainal Abidin University
2019
Yes Technologies (United States)
2019
Bandung Institute of Technology
2019
Malikussaleh University
2019
Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology
2016-2017
University of Ulsan
2015
Bandung Islamic University
2015
Université IBN Khaldoun Tiaret
2013
Universiti Malaysia Terengganu
2011-2012
Abstract This research work proposes a new three-dimensional chaotic system with hidden attractor. The proposed consists of only two quadratic nonlinearities and the possesses no critical points. phase portraits basic qualitative properties such as Lyapunov exponents dimension have been described in detail. Finally, we give some engineering applications like circuit simulation control wireless mobile robot.
In this research work, a novel 3D jerk chaotic system with one-quadratic nonlinearity and two-cubic nonlinearities is designed to generate complex signals. We show that the has unique equilibrium at origin, which saddle-focus unstable. The Lyapunov exponents of are obtained as L1 = 0.30899, L2 0 L3 -4.11304. Kaplan-Yorke dimension DKY 2.0751. qualitative properties described in detail MATLAB plots shown. Next, we use backstepping control method establish global chaos synchronisation...
For the quail farmers, hatching eggs in a big number is problem to producing which incubate by parent manually. In this research describe development of smart incubator. The incubator system based on Arduino microcontroller can control temperature, humidity, and reversal automatically. addition, Internet Things (IoT) help farmers monitor from distance. be applied at CV Slamet Quail Farm, Sukabumi, Indonesia show best result eggs. has been successfully hatch normally 87.55%, 0.41% but...
This project explores mobile camera technologies for real-time skeletal tracking and human movement recording by using pose detection algorithms in a simple yet intuitive application on smartphone. Its goals are experimental validation user-friendly design order to assess effectiveness across variety of contexts. In essence, it seeks enhance mobile-based motion fitness, sports training rehabilitation with affordable technology promote better physical performance overall health.
One of the major currently environmental challenges that needs advanced detection and mitigation methods is water pollution. In this work, we propose a new method structural measurement with Light Detection Ranging (LiDAR) technology to improve quality monitoring accuracy. It allows extraction visualization data, when integrated LiDAR data using tools like Folium. The methodology analytical procedure lies in processing point cloud saved CSV, eligible process thousands points short time...
Abstract: Spurious images on social media result in misinformation, online fraud, and manipulation. Conventional CNN-based techniques fail to precisely localize tampered areas because of poor feature extraction abilities limited generalization. In this paper, the authors suggest a hybrid deep learning method combining CNN with ResNet-50 for enhanced fake image localization. improves through capturing long-distance dependencies optimal propagation, minimizing loss information. The innovation...
In this paper describe an implementation of speech recognition to pick and place object using Robot Arm. To get the feature extraction signal used Mel-Frequency Cepstrum Coefficients (MFCC) method learn database Support Vector Machine (SVM) method, algorithm based on Python 2.7. The data learning which SVM process are 12 features, then system tested trained not show best agreement identifying recognition. has been implemented for control 5 DoF Arm Arduino microcontroller doing task object.
This research shows the implementation of speech recognition to control arm robot. The method identify using Linear Predictive Coding (LPC) and Adaptive Neuro-Fuzzy Inference System (ANFIS). LPC used feature extraction signal ANFIS learn recognition. data learning which processed are 6 features. examination system identification trained not data. result successful grade for is 88.75% 78.78%. Identification was applied controlled robot based on Arduino microcontroller.
<p>In this paper, an Adaptive Neuro Fuzzy Inference System (ANFIS) based on Arduino microcontroller is applied to the dynamic model of 5 DoF Robot Arm presented. MATLAB used detect colored objects image processing. method a for controlling robotic arm color detection camera object and inverse kinematic trained data. Finally, ANFIS algorithm implemented in robot select pick up red with good accuracy.</p>
<p>A new chaotic system with line equilibrium is introduced in this paper. This consists of five terms two transcendental nonlinearities and quadratic nonlinearities. Various tools dynamical such as phase portraits, Lyapunov exponents, Kaplan-Yorke dimension, bifurcation diagram Poincarè map are used. It interesting that has a fixed points can display attractors. Next, paper discusses control using passive method. One example given to insure the theoretical analysis. Finally, for...
In this research work, a novel 3D jerk chaotic system with one-quadratic nonlinearity and two-cubic nonlinearities is designed to generate complex signals. We show that the has unique equilibrium at origin, which saddle-focus unstable. The Lyapunov exponents of are obtained as L1 = 0.30899, L2 0 L3 -4.11304. Kaplan-Yorke dimension DKY 2.0751. qualitative properties described in detail MATLAB plots shown. Next, we use backstepping control method establish global chaos synchronisation...
In the chaos literature, there is currently significant interest in discovery of new chaotic systems with hidden attractors. A 4-D system only two quadratic nonlinearities investigated this work. First, we derive a no-equilibrium and show that exhibits attractor. Properties are analyzed by means phase portraits, Lyapunov exponents, Kaplan-Yorke dimension. Then an electronic circuit realization shown to validate behavior system. Finally, physical experimental results agreement numerical simulations.
This paper discusses the development of Social Robot named SyPEHUL (System Physic, Electronic, Humanoid and Machine Learning) which can recognize tracking human face. Face recognition process use Cascade Classification LBPH (Local Binary Pattern Histogram) Recognizer method based on OpenCV library Python 2.7. The social robot hardware Arduino microcontroller contains by 12 DoF (Degree Freedom) motor servos to actuate robotic head its face system has been implemented then mentioned person...
This paper reports the finding a new chaotic system with pear-shaped equilibrium curve and makes valuable addition to existing systems infinite points in literature. The has total of five nonlinearities. Lyapunov exponents are studied for verifying chaos properties phase portraits unveiled. An electronic circuit simulation is shown using Multisim check model feasibility.
Synchronization is considered as the complete coincidence of states individual systems. Such a regime can result from an interaction between systems or subsystems, well influence external noisy regular fields. In this paper, we have performed design and numerical simulation synchronization two identical coupled Rossler circuits applied to security system communication. We demonstrated in simulations that chaotic be synchronized technique signal masking communications by using MATLAB MultiSIM...
Makhraj is the most important thing for Muslim to recite Holy Quran properly besides of Tajweed. This paper describe recognition Hijaiyah Letter children education. To make recognition, feature extraction used Mel-Frequency Cepstrum Coefficients (MFCC) method and classify letter use Support Vector Machines (SVM) based on Python 2.7. The waveform analysis each pronunciation shows differences letter. database using 12 can be classified by SVM process.
A 3-D new two-scroll chaotic attractor with three quadratic nonlinearities is investigated in this paper. First, the qualitative and dynamical properties of system are described terms phase portraits, equilibrium points, Lyapunov exponents, Kaplan-Yorke dimension, dissipativity, etc. We show that dissipative has unstable points. As an engineering application, global chaos control unknown parameters designed via adaptive feedback stability theory. Furthermore, electronic circuit realization...
In this paper, an extraction for brain-controlled wheelchair by applying nonlinear adaptive filter on EEG-SSVEP is proposed. A four-choice signal paradigm with differents frequencies (i.e., from 6 to 9 Hz left, right, bottom, and top, respectively) used stimulate the four subjects (about 25±1 years old) in experiment. The experimental results show that application of method achieves a very significant statistical improvement extracting peak amplitude features.
In this paper, in order to show some interesting phenomena of three dimensional autonomous ordinary differential equations, the chaotic behavior as a function variable control parameter, has been studied.The initial study paper is analyze phase portraits, Lyapunov exponents, Poincaré maps and bifurcation diagrams.Moreover, appropriate comparisons are made contrast existing results.Finally, effectiveness bidirectional coupling scheme between two identical Jerk circuits secure communication...
To performing Sholat, Muslims around the world are required to pay attention requirements of such as; determining direction Qibla (Kaaba) and time Sholat. In this research will be made a real Finder Sholat Times named Q-Bot Ver3 help find Time anywhere. This developed with robotic technology based on Digital Compass, GPS Microcontroller. determine times, latitude longitude data form module processed used spherical triangle trigonometry method, while compass show direction. Moreover, system...