scholarly journals Perancangan Robot Pemadam Api Wall Follower Beroda dengan Metode Fuzzy Logic (Studi Kasus : Simulasi Kebakaran pada Komplek Perumahan Citraland Kota Palu)

2019 ◽  
Vol 10 (2) ◽  
Author(s):  
Albrecht Yordanus Erwin Dodu ◽  
Amriana Amriana ◽  
Firmansyah Firmansyah
Keyword(s):  
Fuzzy Logic ◽  
Robot Programming ◽  
Fire Extinguisher ◽  
Electronic Components ◽  
Fast Reaction ◽  
Target Zone ◽  
Mechanical Parts ◽  
Reliable Design ◽  
Short Time ◽  
Rule Inference

<p class="SammaryHeader" align="center"><strong>ABSTRACT</strong></p><p><em>One of the problems that robots can do in helping humans is putting out fires. This job requires a fast reaction, because fire can be avoided if the fire has not spread. Fire problems can be reduced if the source of the fire can be found first and extinguished in a short time. This research aims to design a prototype of a wheeled fire extinguisher robot by designing electronic components, mechanical parts and motion actuators on the robot and applying Sugeno fuzzy logic as the basis for the control system algorithm where the process starts from fuzzification, rule inference then defuzzification, and using the Wall Follower method as a method for navigation, because to support the optimum performance of the robot, a navigation system and a reliable design are needed. This robot uses the Arduino mega2560 as a microcontroller board, the ultrasonic sensor HC-SR04 as a distance gauge, the fire sensor as a hotspot detector and the line sensor as a differentiator between home and target zone, while the software used in the robot programming is Arduino IDE. Robot testing is made using the blackbox method and aims whether the robot can extinguish the fire or not. The achievements of the results of this study are, implementing the fuzzy logic and wall follower method on fire-fighting robots so that the robot can search on arenas, extinguish fires on candles, stop and maintain an autonomous distance from walls.</em><em> </em><em></em></p><p><em> </em></p><p><strong><em>Keywords</em></strong><strong><em> </em></strong><strong><em>: </em></strong><em>Robot, arduino,  fire extinguisher, Sugeno fuzzy logic, wall follower</em></p><p class="SammaryHeader" align="center"><strong>ABSTRAK</strong></p><p><em>Salah satu masalah yang dapat dikerjakan robot dalam membantu manusia adalah memadamkan api. Pekerjaan ini membutuhkan reaksi yang cepat, karena kebakaran dapat dihindari apabila api belum menyebar. Masalah kebakaran dapat dikurangi apabila sumber api dapat ditemukan terlebih dahulu dan dipadamkan dalam waktu yang singkat. Penelitian ini bertujuan untuk merancang sebuah prototype robot pemadam api beroda mulai dengan merancang komponen – komponen elektronika, bagian mekanik serta aktuator gerak pada robot dan merapkan metode fuzzy logic Sugeno sebagai basis algoritma sistem kontrolnya yang dimana prosesnya dimulai dari fuzzifikasi, rule inferensi kemudian defuzzifikasi, serta menggunakan metode Wall Follower sebagai metode untuk navigasinya, dikarenakan untuk menunjang kinerja optimum robot dibutuhkan sistem navigasi serta rancangan yang handal. Robot ini menggunakan Arduino mega2560 sebagai board mikrokontroller, sensor ultrasonik HC-SR04 sebagai pengukur jarak, sensor api sebagai pendeteksi titik api dan sensor garis sebagai pembeda antara home dan target zone, sedangkan software yang digunakan dalam memogram robot adalah Arduino IDE. Pengujian robot yang dibuat dilakukan dengan menggunakan metode blackbox dan bertujuan apakah robot dapat memadamkan api atau tidak. Capaian dari hasil penelitian ini adalah, mengimplementasikan metode fuzzy logic dan wall follower pada robot pemadam api sehingga robot dapat melakukan penelusuran pada arena, memadamkan titik api pada lilin, berhenti dan menjaga jarak dari dinding secara autonomous.</em></p><strong><em>Kata kunci : </em></strong><em>Robot, arduino, pemadam api, fuzzy logic Sugeno, wall follower</em>

Application of Fuzzy Logic to Axial Compressor Performance Map Prediction

2007 ◽  
Author(s):  
Kaveh Ghorbanian ◽  
Mohammad Gholamrezaei
Keyword(s):  
Fuzzy Logic ◽  
Axial Compressor ◽  
Optimization Procedure ◽  
Time Frame ◽  
Learning Capability ◽  
Design Variables ◽  
Performance Map ◽  
Compressor Performance ◽  
Short Time ◽  
Fuzzy Logic Technique

The present paper applies fuzzy logic technique to predict the performance map of an axial compressor. This technique relies on employing the information of a data curve in concert with the information at the design point. Further, the learning capability of ANN technique is integrated to the potential of fuzzy logic. A comparison of the predicted results with experimental data reveals a very good agreement. The proposed technique has not only the capability to model the nonlinear surge line as well as the kink in a classical compressor performance map but also it can be used as an alternative tool to foresee the effect of modification of design variables, as well as to guide the design optimization procedure in a short time frame.

PATTERN FORMATION, WAVE PROPAGATION AND STABILITY IN CONSERVATION LAWS WITH SLOW DIFFUSION AND FAST REACTION

2004 ◽  
Vol 01 (04) ◽  
pp. 605-626 ◽  
Author(s):  
HAITAO FAN ◽  
HAILIANG LIU
Keyword(s):  
Initial Data ◽  
Fast Reaction ◽  
Limiting Behavior ◽  
Wave Speeds ◽  
Slow Diffusion ◽  
Scalar Conservation Law ◽  
Scalar Conservation ◽  
Short Time ◽  
Shock Layers

The limiting behavior of the solution of a scalar conservation law with slow diffusion and fast bistable reaction is considered. In a short time the solution develops transition patterns connected by shock layers and rarefaction layers, when the initial data has finitely many monotone pieces. The existence and uniqueness of the front profiles for both shock layers and rarefaction layers are established. A variational characterization of wave speeds of these profiles is derived. These profiles are shown to be stable. Furthermore, it is proved that solutions with monotone initial data approach the shock layer or rarefaction layer waves as time goes to infinity.

scholarly journals Intelligent Control System of Fire-Extinguishing and Obstacle-Avoiding Hexapod Robot

2017 ◽  
pp. 1-10 ◽  
Author(s):  
Qory Hidayati ◽  
Fathur Zaini Rachman ◽  
Nur Yanti
Keyword(s):  
Fuzzy Logic ◽  
Intelligent Control ◽  
Ultrasonic Sensor ◽  
Average Error ◽  
Robot Design ◽  
Hexapod Robot ◽  
Fire Extinguisher ◽  
Intelligent Control System ◽  
Fire Extinguishing ◽  
Technological Developments

This hexapod fire extinguisher robot is constructed based on technological developments evolving very rapidly, especially in the field of robotics technology. The hexapod robot has become a big concern in the development of robotics technology with many existing contests of hexapod robot. This hexapod fire extinguisher robot is designed based on Fuzzy Mamdani Logic. The navigation of fire extinguisher hexapod robot is based on distance detection with ultrasonic sensor determining the movement of robot’s legs utilizing Fuzzy Logic. A fire extinguisher hexapod robot will explore a tunnel arena having several rooms created for the robot to explore. This hexapod robot uses Arduino as a microcontroller and uses 18 servo motors in which each foot requires 3 servo motors. Moreover, good navigation will be aimed by utilizing Fuzzy Logic in the hexapod robot design. The application of many rules on Fuzzy Logic makes the better navigation; furthermore, the results present the ultrasonic sensor having an average error of 1.256%, the Fuzzy Logic applied showing 0% error, and the overall success rate presenting approximately 80%.

Liner Hanger Installation in Challenging Offshore Well Conditions

2016 ◽  
Author(s):  
David Luna ◽  
Roberto Elizalde ◽  
Wantuadi Diwaku
Keyword(s):  
Risk Mitigation ◽  
Lessons Learned ◽  
Target Zone ◽  
Service Companies ◽  
Oil Market ◽  
Working Parameters ◽  
The Right ◽  
Short Time ◽  
Oil Company

ABSTRACT ERD wells are commonly associated with major challenges for installation of casing and liner strings. These wells typically present high torque and drag parameters that jeopardize getting strings to total depth. In an attempt to optimize production, a major oil company in Angola decided to re-enter the study well in early 2016. A sidetrack was opened in the 9 5/8-in. casing, and drilling continued in the 8 ½-in. hole and penetrated the target zone in the highest location. Then a 7-in. production liner was run. To reach the target zone, 5,583 ft of 8 ½-in. hole was drilled and deviations varied from 45° to 87°. This trajectory was a challenge for subsequent running of 7-in. liner. Torque and drag (T&D) models showed liner rotation at total depth (TD) was not possible, and a surge model indicated likelihood of mud losses while running the liner. Liner hanger technologies became a very important phase of well construction, and service companies developed advanced liner hangers to overcome hostile well environments. In this case study, the short time available from the planning to execution phases and the current oil market conditions made it imperative that the right equipment, service, and technology were available in country. To achieve the ideal working parameters and get the liner to bottom, a thorough assessment needed to be performed to ensure risk mitigation. This paper presents summarizes steps considered during planning for the 7-in. liner run including a detailed engineering analysis that enabled the operator to make the best decisions based on the available resources. The paper will also discuss lessons learned and best practices captured during the job that will be used for subsequent liners in similar wells.

Robust Design and Management of Optical Networks

2011 ◽  
pp. 195-226 ◽  
Author(s):  
Hussein T. Mouftah ◽  
Burak Kantarci
Keyword(s):  
Optical Networks ◽  
Optical Network ◽  
High Capacity ◽  
Design Constraint ◽  
Service Interruption ◽  
Optical Network Design ◽  
Huge Data ◽  
Time Availability ◽  
Reliable Design ◽  
Short Time

High capacity advantage of optical networks also introduces the risk of huge data loss in case of a service interruption, even if the outage lasts a short time. Therefore, survivable and reliable design and management of optical networks is urgent. However, deployment of efficient survivability policies does not always guarantee the continuity of the service. Long failure restoration delays, multiple failures, and lack of protection resources may lead to service unavailability. Hence, connection availability arises as a design constraint, and it is defined as the probability of a connection being in the operating state at any time. Availability-constrained optical network design and availability-constrained connection provisioning are two important problems to guarantee robustness of connections in a survivable network.

Accident Warning and Fast Reaction in Emergency Management of Manufacturing Enterprises

2011 ◽  
Vol 66-68 ◽  
pp. 978-982
Author(s):  
Hui Wen Zhou
Keyword(s):  
Reaction Mechanism ◽  
Emergency Management ◽  
Predictive Analysis ◽  
Fast Reaction ◽  
Management Mechanism ◽  
Improve Efficiency ◽  
Manufacturing Enterprises ◽  
Efficiency And Effectiveness ◽  
Short Time

An enterprise should establish an emergency management mechanism that includes accident warning mechanism and fast reaction mechanism. Accident warning mechanism can let the enterprise do predictive analysis and judgment and make reasonable strategies and suggestions. Fast reaction mechanism can help the enterprise make correct decisions in a short time and improve efficiency and effectiveness of emergency management. Rules and regulations are necessary to ensure smooth implementation of accident warning mechanism and fast reaction mechanism.

scholarly journals Analysis and optimization of ultrasonic copper wires using fuzzy logic approach

2019 ◽  
Vol 28 ◽  
pp. 01019
Author(s):  
Jacek Zawadzki ◽  
Cezary Jędryczka
Keyword(s):  
Fuzzy Logic ◽  
Process Parameters ◽  
Fusion Welding ◽  
Manufacturing Industries ◽  
Additional Material ◽  
Fuzzy Logic Approach ◽  
Logic Approach ◽  
Weld Time ◽  
Peel Stress ◽  
Short Time

Ultrasonic welding has been used in the market over the past thirty years and offer to the manufacturing industries like automotive, aviation, medical and many more due to various hurdles faced by conventional fusion welding or crimp processes. Very short time (less than 1 second) and no additional material during the connection process are very key advantages. Due to this fact this technology can be used for mass production. Plenty of times, the problems faced by industry due to this process are the poor weld quality and strength of the joints surface. In presented study, the process parameters like vibration amplitude, weld pressure and weld time are considered in analysis of the welding of copper wires (Cu- ETP1). Experiment is conducted according to the fractional design with replications to get the responses like tensile shear stress and T-peel stress of the weld. Measured data are utilized next to develop fuzzy logic model between responses and predictors. As a quality is an very important issue in these manufacturing industries, the optimal combinations of studied process parameters are found using fuzzy logic approach.

scholarly journals Investigation of the Thermal Properties of Electrodes on the Film and Its Heating Behavior Induced by Microwave Irradiation in Mounting Processes

Processes ◽  
2020 ◽  
Vol 8 (5) ◽  
pp. 557
Author(s):  
Kenji Kanazawa ◽  
Takashi Nakamura ◽  
Masateru Nishioka ◽  
Sei Uemura
Keyword(s):  
Magnetic Field ◽  
Electric Fields ◽  
Single Mode ◽  
Heating System ◽  
Solder Paste ◽  
The Novel ◽  
Electronic Components ◽  
Short Time ◽  
Heating Behavior ◽  
The Magnetic Field

We have developed a novel microwave (MW) soldering system using a cylindrical single-mode TM110 MW cavity that spatially separates the electric fields at the top and bottom of the cavity and the magnetic field at the center of the cavity. This MW reactor system automatically detects the suitable resonance frequency and provides the optimum MW irradiation conditions in the cylindrical cavity via a power feedback loop. Furthermore, we investigated the temperature properties of electrodes by MW heating with the simulation of a magnetic field in the TM110 cavity toward the mounting of electronic components by MW heating. We also developed a short-time melting technology for solder paste on polyimide substrate using MW heating and succeeded in mounting a temperature sensor using the novel MW heating system without damaging the electronic components, electronic circuits, and the substrate.

Social Network Analysis

2020 ◽  
Vol 13 (3) ◽  
pp. 142-155
Author(s):  
Youness Madani ◽  
Mohammed Erritali ◽  
Jamaa Bengourram ◽  
Francoise Sailhan
Keyword(s):  
Artificial Intelligence ◽  
Fuzzy Logic ◽  
Fuzzy Logic System ◽  
New Approach ◽  
Written Text ◽  
Twitter Data ◽  
Important Field ◽  
Rule Inference ◽  
Logic System

Sentiment analysis has become an important field in scientific research in recent years. The goal is to extract opinions and sentiments from written text using artificial intelligence algorithms. In this article, we propose a new approach for classifying Twitter data into classes (positive, negative, and neutral). The proposed method is based on two approaches, a dictionary-based approach using the sentimental dictionary SentiWordNet, and an approach based on the fuzzy logic system (fuzzification, rule inference, and defuzzification). Experimental results show that our approach outperforms some other approaches in the literature and that by using the fuzzy logic we improve the quality of the classification.

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