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INDONESIA
Indonesian Journal of Electrical Engineering and Computer Science
Published by Institute of Advanced Engineering and Science
ISSN : 25024752     EISSN : 25024760     DOI : -
Core Subject :
Arjuna Subject : -
Articles 9,174 Documents
 47   48   49   50   51 
A Semi-Autonomous Coal Mine Monitoring Security System Based On Wireless Control Using RTOS Singh Omkar Ramabhilash; Santosh Kumar Singh
Indonesian Journal of Electrical Engineering and Computer Science Vol 9, No 1: January 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v9.i1.pp33-35

Abstract

Novel coal mine administration framework to tackle the ongoing observing and profoundly effective safeguard issues of underground work stages. In this paper proposing a robot that has the fitness to identify the covered mine and let the client control it remotely to stay away from others conscious causalities. The robot is outfitted with exceptional wheels controlled by H-Bridge module, enabling it to move in every single conceivable bearing. In this venture we concentrate on the security of people and the robot; the robot is outfitted with unique range sensors that assistance in staying away from the snags in the field by extraordinarily recognizing the position of obstructions. For the manufacture of the venture, a unique model made of lightweight temperature safe metal is utilized on which every one of the articles is conveyed. Gas immediate, mischance help ask for, video gushing and voice declaration are the extra components of this framework. Advance, a remote ZigBee is added to the robot, which gets the constant estimations of flame, temperature. ARM microcontroller charges the robot. The camcorder connection to the gadget will transmit the picture in the Motion-JPEG arrange alongside a speaker who will enable us to send the crisis charge with the assistance of the voice message device. The application firmware keeps running on top of a RTOS to deal with multitasking prerequisites of the framework. This strategy has a down to earth profit if diminishing the quantity of causalities, after the execution of the procedure; the robot can be controlled productively with slightest buffering time.
FPGA-based architecture of hybrid multilayered perceptron neural network Lee Yee Ann; P. Ehkan; M. Y. Mashor; S. M. Sharun
Indonesian Journal of Electrical Engineering and Computer Science Vol 14, No 2: May 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v14.i2.pp949-956

Abstract

The HMLP is an ANN similar to the MLP, but with extra weighted connections that connect the input nodes directly to the output nodes. The architecture of the HMLP neural network for implementation on FPGA is proposed. The HMLP architecture is designed to be concurrent to demonstrate the parallel nature of the HMLP where each hidden or output node within the same hidden or output layer of the HMLP can calculate its output independently. The HMLP architecture is designed to be modular as well, such that if modification to a module is necessary, only the specific module need to be modified and all other modules can be retained. This modularity will be especially helpful when different activation function is to be swapped in to replace current activation function. All calculations in the HMLP are performed in floating-point arithmetic. The HMLP architecture is compiled, simulated and finally implemented on the Cyclone V FPGA of DE1-SoC board. The simulation outcome and FPGA outputs showed that the developed HMLP architecture is able to calculate correct output values for all test datasets.
Design and Study on Dynamic Measuring System for Field Surface Roughness Lv Xiao-Rong; Liu Ming-Dan; Lv Xiao-Lian
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 9: September 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i9.pp6691-6698

Abstract

Explore the adaptability and relationship of planter to field surface roughness. Through field test of the designed dynamic testing system of field surface roughness, the two types of field surface roughness were detected on the original field surface roughness formed by the working rotary and the field surface roughness formed after planters work. The transfer functions of the system were established, and the dynamic characteristics of the system were analyzed. The results show that, the system is a linear one with the typical first order feature. The dynamic characteristics of the systems such as response speed, frequency bandwidth and thickness of covering soil and other performance indicators are able to meet the requirements of agricultural technology.
Implementation of Waste Battery Energy Collection System Li Chao; Yi Bo-nian
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 6: June 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

In this energy collection system, it uses Boost and Buck circuits. If the input voltage is too low, low power supply chip will be active ,making the charging voltage at an appropriate range. In order to measure the input voltage, output voltage and the current, high-precision chips are used, cooperated with 32-bits-high-speed CPU to make sure the output voltage stable. This system has a perfect over-current ,over-voltage protection function. The system uses the high efficient switch power supply. DOI: http://dx.doi.org/10.11591/telkomnika.v11i6.2683
Implicit force control approach for Safe physical Robot-to-Human object handover Paramin Neranon
Indonesian Journal of Electrical Engineering and Computer Science Vol 17, No 2: February 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v17.i2.pp615-628

Abstract

This research focuses on the development of the conceptual frameworks of human-human interaction applied for a robotic behaviour-based approach for safe physical human-robot interaction. The control has been constructed based on understanding the dynamic and kinematic behavioural characteristics of how two humans pass an object to each other. This has enabled a KR-16-KUKA robot to naturally interact with a human so as to facilitate the dexterous transfer of an object in an effective manner. Implicit force control based on Proportional Integral and Fuzzy Logic Control which allows the robot end effector’s trajectory to be moderated based on the applied force in real-time was adopted. The experimental results have confirmed that the quantitative performance of the force-controlled robot is close to that of the human and can be considered acceptable for human-robot interaction. Furthermore, the control based Fuzzy Logic Control was shown to be slightly superior performance compared to Proportional Integral control.
Research on Tripod Gait of Bionic Hexapod Robot LIU Ming-dan; LV Xiao-rong; Qi Xiang-jun; Wei Jiang-shu
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 1: January 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Based on the bionic theory and the analyzed of movement mechanism for six-legged insect, the principle of tripod gait movement for walking robot was analyzed in this paper, and basic parameters and the principle of relative movement theory on gait research were discussed. Then the hexapod walking robot was assembled by using the component of Fischertechnik. With the characters of simple connective structure, unique design, this robot can walk forward and backward and can avoid mini-barrier. The experiment showed that this robot has good mobility and stability. DOI : http://dx.doi.org/10.11591/telkomnika.v12i1.3898
Hybrid Method for Optimal Placement of Multiple SPV Based Multiple RDGs in Microgrid System Samir M. Dawoud; Xiangning Lin; Firas M. F. Flaih; Qasim Kamil Mohsin
Indonesian Journal of Electrical Engineering and Computer Science Vol 4, No 2: November 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v4.i2.pp298-304

Abstract

A hybrid method has been suggested for optimal placement of multiple renewable distribution generations (RDGs) in microgrid system. The analytical approaches have not been appropriated for optimal placements of multiple solar photovoltaic (SPV) based on RDGs alone. In this work, hybridization of a fuzzy method and particle swarm optimization (PSO) search for the optimal placement of multiple RDGs in microgrid systems for decreasing the active power loss has been proposed. In this approach, the sizes of RDGs are evaluated at every bus by PSO method while the locations are determined by fuzzy based technique. The objective function (OBF) has been minimized under operating constraints. The improvements in nodal voltage profile have been observed. To confirm the proposed hybrid approach, results have been compared with bat algorithm (BA) technique and existing fast improved analytical (IA) method results. The suggested technique has been tested on 33-bus and 69-bus microgrid system.
IMLANNs for Congestion Management in Power System Nur Zahirah Mohd Ali; Ismail Musirin; Hasmaini Mohamad; Saiful Izwan Suliman; Hadi Suyono
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 2: August 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v11.i2.pp630-636

Abstract

In this paper, Integrated Multi-Layer Artificial Neural Networks (IMLANNs) model has been developed for congested line prediction in a power system. The master characteristic of an ANN is the superiority to achieve complicated input-output mappings through a learning procedure, without exhaustive programming efforts. The IMLANNs model was developed to predict the congested lines in a power system. Before the IMLANNs model is developed, a case study was selected to receive an early result in power system load current during normal condition and contingency based on heavily loaded term. In order to optimize the architecture of the neural network and minimize the computational effort, but those state variables with major impact on the power system are selected as inputs. A pre-developed index, namely Fast Voltage Stability Index (FVSI) is employed as a benchmark to identify the locations declared as congested lines. This indicator was produced which aims for an analytic thinking, sustainable power system when an excessive load was imposed on the power system network. In addition, voltage collapse can be identified when the index is approaching 1.000 or unity. The value of FVSI is chosen as the targeted output in the IMLANNs model. The strength of the proposed IMLANNs model has been validated on the IEEE 30- Bus RTS. Results obtained from the study demonstrated that the proposed IMLANNs is feasible for congested line prediction, which in turns beneficial to power system operators in the planning unit of a utility.
Mobility management for RPL protocol in internet of things Zohreh Royaee; Hamid Mirvaziri; Amid Khatibi bardsiri
Indonesian Journal of Electrical Engineering and Computer Science Vol 19, No 1: July 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v19.i1.pp451-458

Abstract

The IPv6 Routing Protocol for Low Power and Lossy Networks (RPL) was proposed for various applications of IPv6 low power wireless networks. While RPL supports various routing metrics and is designed to be suitable for wireless sensor network environments, it does not consider the mobility of nodes. Therefore, there is a need for a method that is energy efficient and that provides stable and reliable data transmission by considering the mobility of nodes in RPL networks. In this paper a new heuristic flabellum algorithm inspired by physical and biological behaviour of flabella in the sea is presented, and bottleneck and swarm problems are resolved through managing the moving nodes by flabellum algorithm. Finally, the proposed algorithm’s performance is evaluated using the Cooja simulator. The proposed algorithm;Flabellum RPL; shows significant improvements with regards to packet delivery, and convergence and lifetime.
An improved RBF neural network method for information security evaluation Yinfeng Liu
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 4: April 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Itis well-known that information security means the protection of information,and ensuring the availability, confidentiality and integrity of information. The purposeof this paper is to present an improved RBF neural network method forinformation evaluation. Ant colony optimization is a multi-agent approach fordifficult combinatorial optimization problems, which has been applied tovarious NP hard problems. Here, ant colony optimization algorithm is applied tooptimize the parameters of RBF neural network. In this paper, we employ  “unauthorized access”, “unauthorized accessto a system resource”, “data leakage”, “denial of service”, “unauthorizedmodification data and software”, “system crash” as the features of informationsecurity evaluation. It is indicated that the information security evaluation error of the improvedRBF neural network is smaller than that of the RBF neural network. Thus, theimproved RBF neural network is very suitable for information security evaluation. DOI : http://dx.doi.org/10.11591/telkomnika.v12i4.4806

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