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Data rate of connections in performing packet delivery of Wireless Mesh Network using Hybrid Wireless Mesh Protocol and Optimized Link State Routing protocol 1

Data rate of connections in performing packet delivery of Wi...

引用

2014 1st International Conference on Information Technology, Computer, and electrical engineering, ICITACEE 2014

作者： Putra, Alexander William Setiawan Suhartomo, Antonius Faculty of Engineering Study Program of Electrical Engineering President University Bekasi Indonesia

ISBN: (纸本)9781479964314

Wireless Mesh Network (WMN) relies in routing protocols for route discovery from sender to receiving nodes. There are two routing protocols that are evaluated: Hybrid Wireless Mesh Protocol (HWMP) and Optimized Link State Routing (OLSR). Packet delivery is very crucial in telecommunication. Data rate of connections relate closely with the performance of packet delivery in telecommunication especially WMN. HWMP and OLSR have different mechanisms of route discovery which are affected by the changes of data rate of connections and can affect the packet delivery of data. This experiment focuses in evaluating the performance of both protocols under different conditions of data rate of connections. The objective of this experiment is to evaluate the performance of both protocols and find the relevancy between the results of simulations and theories of the mechanism of both protocols. All of the simulations are done with using Network Simulator Version 3. The simulations are done for more than 100 times in order to get the consistency of the results of simulations and to evaluate the natural behaviors of both protocols. © 2014 IEEE.

关键词： Routing protocols

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Smart Parking System with IoT-Enabled using NodeMCU for Car Reservation in Public Areas 2

Smart Parking System with IoT-Enabled using NodeMCU for Car ...

引用

2nd IEEE International Conference on electrical engineering, Computer and Information Technology, ICEECIT 2024

作者： Simatupang, Joni Welman Alfarizi, Yosep Salman Electrical Engineering Study Program Faculty of Engineering President University Cikarang Indonesia

ISBN: (纸本)9798331504373

This paper presents the smart parking system using NodeMCU ESP8266 for web-based car reservation in public areas. Conventional parking system made car users take a long time to find the parking in public areas like shopping centers or malls. Therefore, its necessary to overcome this problem by implementing the smart parking system of car reservation. The system prototype integrates the Internet of Things (IoT) technology, NodeMCU ESP8266 (microcontroller), Ultrasonic Sensor HC-SR04 (vehicle detector sensor in parking area), IR obstacle sensor (entry and exit), SG90 Servo (at the entry and exit gate) and Firebase to create a real-time database connected to a web platform. The system provides real-time slot availability information via the web platform and LCD as information at the entrance gate. Users can easily make and cancel reservations with additional features such as OTP verification, and automatic booking cancellation have been successfully implemented. The prototype test method consist of calibration test, sending OTP test, automatic booking cancellation test and manual booking cancellation test. The result of calibration test on 10 cm range have a 80% success rate for ultrasonic sensor 1 as well as the result of ultrasonic sensor 2. While, additional features test result such as sending OTP, automatic booking cancellation, and manual booking cancellation having 100% success rate. It can be concluded that this prototype is successfully implemented and reach the goals with minimum error can be tolerated. The authors suggest to adding a keypad and payment system to this prototype for improvement in the future. © 2024 IEEE.

关键词： Ultrasonic sensors

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Adaptive neural networks for nonlinear dynamic systems identification

Adaptive neural networks for nonlinear dynamic systems ident...

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2013 5th International Conference on Computational Intelligence, Modelling and Simulation, CIMSim 2013

作者： Sitompul, Erwin Study Program Electrical Engineering Faculty of Engineering President University Bekasi Indonesia

ISBN: (纸本)9780769551555

A new scheme for adaptive neural networks for nonlinear dynamic system identification is proposed in this paper. The network of structure multi-layer perceptron with external recurrence is trained offline at first to get the initial network parameters. The parameters of the network are classified into short-term memory part and long-term memory part. The short-term memory part includes the parameters which are linear to the network output. In the implementation, the network is validated in each sampling time using a set of new measurement data. Training procedure will be executed if the model error exceeds a specified value and the short-term memory part will be adjusted. The application in modelling of room thermal behaviour demonstrates the performance of the proposed scheme. © 2013 IEEE.

关键词： Nonlinear dynamical systems

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PID Control for a Manipulator Robot Using Internet Networking and Matlab-based

PID Control for a Manipulator Robot Using Internet Networkin...

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International Conference on electrical, Electronic, Informatics and Vocational Education 2018, ICE-ELINVO 2018

作者： Khairudin, M. Study Program of Electrical Engineering Faculty of Engineering Yogyakarta State University Indonesia

This paper presents the design to the implementation of the proportional, integral and derivative (PID) remote control system of robot manipulator using Matlab-based Internet network. These studies seek the solution of distance operations, time constraints, and monitoring the operation response of robot manipulator motion as robot that possible to carry dangerous objects which is should be monitored remotely during the operation. PID control system that is controlled remotely by the client and server systems. The monitoring process of robot manipulator is Matlab-based. Testing is done by doing observation to the speed response of the DC motor as the robot's axis driver on open loop system condition, and then doing observation using PID control system. The test of axis robot driver has also been carried out with a variety of no-load and load conditions. The test results showed the motor driver of robot will work optimally when using PID control system. The data acquisition and the stability of data communication between the client and server are affected by the condition of the existing data transfer on the network and also the distance from the server to the plant. © Published under licence by IOP Publishing Ltd.

关键词： DC motors

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System Modelling Using Neural Networks with External Recurrence and Exponential Quadratic Cost Function

System Modelling Using Neural Networks with External Recurre...

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2019 International Conference on Sustainable engineering and Creative Computing, ICSECC 2019

作者： Sitompul, Erwin President University Study Program of Electrical Engineering Faculty of Engineering Bekasi Indonesia

ISBN: (纸本)9781728151922

A novel cost function to improve the performance of neural networks in system modelling is proposed in this paper, the exponential quadratic cost function. This cost function combines the strength of penalizing errors exponentially and the feasibility of quadratic function in finding global minima. By applying the exponential quadratic cost function, the learning algorithm is expected to have an improved ability to minimize the difference between system output and model output. Simulations by using a test system with strong nonlinear dynamics were conducted to prove the effectiveness of the proposed cost function. The results show that the network trained using the exponential quadratic cost function performs better in emulating the test system in transient region. © 2019 IEEE.

关键词： Cost functions

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Design Implementation of Flood Early Warning System for Residential Monitoring

Design Implementation of Flood Early Warning System for Resi...

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2023 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications, ICRAMET 2023

作者： Simatupang, Joni Welman Arrazaq, Thariq Auliya Faculty of Engineering President University Electrical Engineering Study Program Cikarang Indonesia

ISBN: (纸本)9798350343892

The efforts to mitigate floods are necessary. One of the tools that can contribute to flood mitigation is the Flood Early Warning System (FEWS). The main goal of this study is to design a prototype of FEWS that can be easily used anywhere, anytime, and provide accurate water level readings. The prototype system is designed using an Ultrasonic Sensor for water level detection, an alarm system, and Blynk as a web and mobile dashboard. The prototype consists of four main components: Ultrasonic Sensor HC-SR04, Arduino Nano, NodeMCU, and HC-12. It comprises two units: a transmitter unit and a receiver unit. To determine the accuracy and consistency of the Ultrasonic Sensor, the author conducted testing using calibration, non-continuous, and continuous methods. The accuracy obtained was 99.71%. Additionally, the author observed high consistency in the readings of the ultrasonic sensor, as evident from continuous sensor reading test results. Furthermore, the receiver unit successfully displayed output according to the water level threshold for each condition. Additionally, the Blynk web and mobile dashboard were able to display output as per the design. However, we suggest adding data logging features and also solar panels as a renewable power source to support the improved prototype system. © 2023 IEEE.

关键词： Floods

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Blind and lighting control to maintain comfort light intensity of the classroom utilizing Microcontroller ATmega8535

Blind and lighting control to maintain comfort light intensi...

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2013 5th International Conference on Information Technology and electrical engineering, ICITEE 2013

作者： Silitonga, Arthur Indrawan, I Gusti L. W. Study Program of Electrical Engineering Faculty of Engineering President University Bekasi Indonesia

ISBN: (纸本)9781479904259

A stable light intensity level of a classroom can actually be obtained by integrating automatic lamp brightness controller with automatic blind system. A brightness controller of the lamp, especially incandescent type can be developed by adopting the principle of phase firing angle. It should be implemented in such a way so that the firing angle is set precisely to keep the classroom's light intensity stays in a steady level. Next, the opening and closing process of the blind can also be done using stepper motor which will be controlled automatically by a microcontroller through a hardware driver. This is intended to take the advantage of light contribution from the outside instead of directly switching on or brightening the lamp. © 2013 IEEE.

关键词： Controllers

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Application of the K-Medoids Clustering Model and Borda Decision Group in Viewing Flood Area Groupings in North Aceh Regency

Application of the K-Medoids Clustering Model and Borda Deci...

引用

2023 International Workshop on Artificial Intelligence and Image Processing, IWAIIP 2023

作者： Fuadi, Wahyu Sahputra, Ilham Fariadi, Dedi Agustinar Universitas Malikussaleh Informatics Engineering Study Program Faculty of Engineering Lhokseumawe Indonesia Universitas Malikussaleh Information Systems Study Program Faculty of Engineering Lhokseumawe Indonesia Universitas Malikussaleh Electrical Engineering Study Program Faculty of Engineering Lhokseumawe Indonesia

ISBN: (纸本)9798350382914

The importance of the K-Medoid model in viewing disaster-prone areas in each sub-district in North Aceh. The advantage of the k-medoid model results is that it has better cluster centers than other models. The novelty of this research is the cluster results are assessed by each decision maker using the Borda group model in providing flood disaster assistance or areas that are a priority for handling, which are included in the flood-prone cluster. Therefore, this research is important because it can be used to identify areas most severely affected by flooding. This research aims to analyze and identify the impact of flood hazards based on grouping and decision-making using the Borda group model in each sub-district in North Aceh. The results of the k-medoids model show 3 clusters that can see potential areas for flood disasters, namely very vulnerable. There are six sub-districts. For the k-medoids results, ten sub-districts are vulnerable. Lastly, the safe zones are 11 sub-districts. This research's k-medoid model analysis is more precise in seeing clusters of places that are potentially affected by flooding based on spatial maps of their nearest neighboring areas. The percentage of each cluster is as follows: Cluster 1 is 4%, Cluster 2 is 55%, and Cluster 3 is 41%. The k-medoid model provided this result after three iterations, with a closeness difference of 1.594510537. The results of the Borda model group research can be used as a recommendation for the areas that receive the highest priority in disaster management. © 2023 IEEE.

关键词： Floods

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Developing the Indonesian Qualifications Framework's descriptors for electrical engineering as the basis of the Recognition of Prior Learning (RPL)

Developing the Indonesian Qualifications Framework's descrip...

引用

International Conference on electrical, Electronic, Informatics and Vocational Education 2018, ICE-ELINVO 2018

作者： Zamtinah Supriyadi, E. Electrical Engineering Education Study Program Faculty of Engineering Yogyakarta State University Indonesia

This study aims to: 1) describe the mechanism of the level 2 IQF (the Indonesian Qualifications Framework) descriptor development for electrical engineering, and 2) formulate a set of detailed-level-2 descriptors for electrical engineering. The method used to develop the descriptors is brainstorming between the researcher and several experts from both academicians and practitioners. Meanwhile, the method to formulate the IQF descriptors for electrical engineering is literature review referring to The Indonesian National Work Competency Standard (SKKNI) and focus group discussion involving experts from academicians, Professional Certification Institute Gema PDKB, the Association of Indonesian electrical Works (APEI), Consortium for electrical Installation Safety (KONSUIL), and industry practitioners such as PT. LEN Bandung, PT. Bukaka Teknik Utama, PT. Schneider Electric Indonesia, and PT. Smart Energi Semesta. The descriptors are in the form of the guttman scale questionnaire. The questionnaire was then tested on limited-scale respondents. The KR 20 method was employed to examine the reliability and resulted in r11 = 0.9;thus, the guttman scale questionnaire was considered "very reliable". The respondents consisted of 8 academicians, 8 electrical engineering teachers at vocational high schools, and 8 industrial practitioners. The collected data were then analyzed descriptively. This study resulted in a set of level 2 IQF descriptors which were designed according to the taxonomy of electricity system, namely electric power transmission system descriptors, electric power distribution system descriptors, and electric power utilization descriptors. In regard to electric power transmission system, 103 out of 154 (67%) descriptors were approved by more than 80% of respondents;for electric power distribution system, 83 descriptors (75%) were approved by more than 80% of respondents;and for electric power utilization system, 61 descriptors (94%) were approved by more than 8

关键词： Surveys

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Faults Identification of Induction Motor Based on Vibration Using Backpropagation Neural Network

Faults Identification of Induction Motor Based on Vibration ...

引用

2020 International Conference on Smart Technology and Applications, ICoSTA 2020

作者： Kuspijani, K. Watiasih, Richa Prihastono, Prihastono Bhayangkara Surabaya University Electrical Engineering Study Program Engineering Faculty Surabaya Indonesia

ISBN: (纸本)9781728130835

Vibration analysis is very important in predictive maintenance in the industry today. In this paper, has designed a vibration detection system that can identify the condition of the induction motor by online. Induction motor vibration data is read from two vibration sensors, accelerometer1 and accelerometer2, displayed using ATMEGA16 microcontroller and can directly identify the condition of the induction motor by using artificial intelligence-based analysis that is Backpropagation-Neural Network (B-NN). After testing, the system managed to perform fault identification induction motor with the rank of success of 95 percent. © 2020 IEEE.

关键词： Accelerometers

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