Application of Fuzzy Logic Methods to Evaluate the Serviceability of Northern Main Pipelines | Chapter 4 | Fundamental Research and Application of Physical Science Vol. 4

 The paper presents the influence of of or in the atmosphere conditions of the North on the utility of trunk pipelines (TP) of the North, including: thermokarst, lump, soil erosion, solifluction, obstruct, presence of secret ice, ice composition and related negative processes. Such influences bring about the fact that in harsh climatic conditions the passage transport is exposed to differing deformations to a much greater magnitude and higher necessities should be imposed on fabrics, structures and laying sciences.More than 65% of the trunk pipelines (TP) in the North are produced through swamps, watered areas and frozen water soils. The annual amplitude of air hotness fluctuations in these fields ranges from 80 to 90 degrees. This leads to unpredictable changes in relating to space displacement and deformations of passage networks, reducing the dependability and safety of technical schemes by 2-3.5 times. The question of increasing the dependability and safety of TP is especially appropriate for the northern domains, where, at intensely cold temperatures in cold, gas is one of the main beginnings of energy for heat supply structures. To improve dependability and reduce damage from the possibility of danger situations, it should to determine the risk elements, identify vulnerabilities, decide the main parameters for cultivating measures to reduce the risk, lighten the material and financial consequences as long as of an emergency. Due to the a lot of uncertainties in the complete data used, it is projected to solve this intensely complex but necessary task utilizing fuzzy models joining qualitative expert knowledge and determinable statistical arrangements.

Author(s) Details:

Galina Struchkova,
Larionov Institute of Physical-Technical Problems of the North, SB RAS, 1 Oktyabrskaya St., Yakutsk, 677980, Russia.

Tamara Kapitonova,
Larionov Institute of Physical-Technical Problems of the North, SB RAS, 1 Oktyabrskaya St., Yakutsk, 677980, Russia.

Please see the link here: https://stm.bookpi.org/FRAPS-V4/article/view/10587

Recovery of Solar Energy for Powering Small Device as Wireless Communicating Nodes | Chapter 05 | Technological Innovation in Engineering Research Vol. 1

 In this study, we built and simulated a solar energy recovery and storage system for wireless sensors. To accomplish so, we created models for each component: the solar panel, the adaptation circuit (in which we used the disrupt and observe command in conjunction with fuzzy logic to determine the MPP), and the energy storage supercapacitor. This research is part of an effort to use wireless sensors and actuators to safeguard Senegal's rice fields against grain-eating birds. Energy consumption is a critical factor in this wireless communication method between things. Indeed, it determines how long applications based on this technology will last. This research developed and modelled a solar energy recovery and storage system for powering wireless sensors. We did this by modelling each component, which included the The supercapacitor for energy storage, the solar panel, and the adaptation circuit, which used the disrupt and observe instruction in conjunction with fuzzy logic to discover the MPP. Supercapacitor technology was also used to store energy in the study. In the research region, the models' simulations produce adequate results for a wireless communication node's independent power supply.

Author(S) Details

Salick Diagne
Gaston Berger University, Saint-Louis, Senegal.

Abdou Karim Farota
Gaston Berger University, Saint-Louis, Senegal.

Ognadon Assogba
Gaston Berger University, Saint-Louis, Senegal.

Bouya Diop
Gaston Berger University, Saint-Louis, Senegal.

Thierry Val
IRIT, University of Toulouse 2, Toulouse, France.

View Book:- https://stm.bookpi.org/TIER-V1/article/view/6803

Developing a Decision-Making Support Information System for the Operational Control of Industrial Technological Processes | Chapter 03 | Recent Advances in Mathematical Research and Computer Science Vol. 7

 The engineering control realisation was developed using fuzzy logic, which is a new and unique technique. Fuzzy logic has shown enormous potential in recent years, especially in the automation of industrial process control, where it permits control designs to be designed based on expert experience and experimental results. The completed projects show that utilising fuzzy logic in technical process control has already resulted in better decisions than traditional control strategies. Instead of using a mathematical model, fuzzy logic allows for the design of a decision-making advising system based on operator experience and experiment outcomes. The current study focuses on a specific technological process: employing fuzzy logic and an associated expert-objective knowledge base to construct a support decision-making information system for the operational control of a lime kiln.

Author(S) Details

Adelina Ahadova
Department of Information Science, Ivane Javakhishvili Tbilisi State University, 0177, University Str. 2, Tbilisi, Georgia.

View Book:- https://stm.bookpi.org/RAMRCS-V7/article/view/5488

Study on Kinetics of Growth and Weight of Vanadium Gel on Short-Circuited Probes from Various Materials | Chapter 6 | Recent Trends in Chemical and Material Sciences Vol. 2

 The development of technical processes in the chemical and metallurgical industries has resulted in a considerable growth in research chemical systems with the goal of putting them into practise. The findings of investigations on the speed of increasing vanadium gel on short-circuited probes made of various metals, mainly copper and aluminium, are presented in this article. It is demonstrated that the material of a probe and the configuration of probes in a solution affect the pace of rising gel on probes. The electrochemical character of this process can be determined by studying the formation of vanadic gel on metal probes made of various metals. The formation of vanadic mesogels can be viewed as a macroscopically visible expression of self-organizing processes that occur spontaneously in a solution.

Author (S) Details

Sulejmenov Esen Nurgalyevich
Kazakh-British Technical University, Almaty 050000, Republic of Kazakhstan.

Utelbayeva Akmaral Bolysbekovna
Kazakh-British Technical University, Almaty 050000, Republic of Kazakhstan.

Meldeshov Amangeldy Abdychalikovich
Kazakh-British Technical University, Almaty 050000, Republic of Kazakhstan.

Romanteyev Yuri Pavlovich
Kazakh-British Technical University, Almaty 050000, Republic of Kazakhstan.

Utelbayev Bolysbek Toychibekovich
Kazakh-British Technical University, Almaty 050000, Republic of Kazakhstan.

View Book :- https://stm.bookpi.org/RTCAMS-V2/article/view/2907

Study on Simulation and Design of Various PI Controller for a Non-Interacting Systems: An Approach to Conventional and Computational Algorithms| Chapter 11 | Current Approaches in Science and Technology Research Vol. 1

 This study looks at a variety of traditional and computational approaches for designing a PI controller. Many of the controllers utilized in the industry are PID controllers. To control any process, a mathematical model must first be identified, then a controller must be created and simulated to obtain the desired process behavior. A lab-scale noninteracting liquid tank system is being investigated for the purposes of this study and simulation. The mathematical model of the system is identified, and different traditional methods for constructing a PI controller are used. A lab-scale noninteracting liquid tank system is being investigated for the purposes of this study and simulation. The mathematical model of the system is identified, and different traditional methods for constructing a PI controller are used. Simulink software is used to demonstrate the efficiency of various computing methods in simulation and in real time, and the simulation results of traditional algorithms are compared. Also tabulated and compared are the closed loop performance indices. The computational PI controller displays good setpoint tracking and performance in simulations.

Author (s) Details

Assistant Professor, Janani Rajaraman
Department of Electronics and Instrumentation Engineering, Sri Chandrasekharendra Saraswathi Viswa Maha Vidyalaya. Enathur, Kanchipuram, India.

Jayanth Sarangan
Department of Electronics and Instrumentation Engineering, Sri Chandrasekharendra Saraswathi Viswa Maha Vidyalaya. Enathur, Kanchipuram, India.

View Book :- https://stm.bookpi.org/CASTR-V1/article/view/1343

Recent Study on Failure Diagnosis and Prognosis of Sliding Bearings | Chapter 2 | Advanced Aspects of Engineering Research Vol. 10

 Sliding bearings are commonly used machine elements whose proper operation is dependent on the availability of many technological systems, and the analysis of the prediction method for sliding bearings receives a lot of attention. High levels of vibration and noise are caused by problems with sliding bearings. The thermal analysis is a critical parameter in the diagnosis and prediction of sliding bearing failure. Vibration spectrum analysis, oil film thickness, and other related parameters are often used in addition to these. It is possible to substantially reduce measurement time while increasing the precision of diagnostic methods by using advanced technologies. A mathematically formalised mode of representation for modelling ambiguity is fuzzy logic. In this paper, a selection of damage in the operation of a sliding bearing is made, and the method for diagnosing these issues is demonstrated. Sliding bearing damage can be detected early using methods that combine multiple diagnostic parameters into one.

Author (s) Details

R. Antunovic
University of East Sarajevo, Faculty of Mechanical Engineering, Vuka Karadžica Street 30, 71123 East Sarajevo, Bosnia and Herzegovina

N. Vucetic
University of East Sarajevo, Faculty of Mechanical Engineering, Vuka Karadžica Street 30, 71123 East Sarajevo, Bosnia and Herzegovina

A. Halep
Cement Factory, Selima Efendije Merdanovica Street 146, 72240 Kakanj, Bosnia and Herzegovina

View Book :- https://stm.bookpi.org/AAER-V10/article/view/751

Modeling and Control of Autonomous Photovoltaic System: Comparative Study the Fuzzy Logic and P&O Associated to PI Controller Algorithms Using SEPIC Converter for Maximum Power Point Tracking | Chapter 8 | Recent Developments in Engineering Research Vol. 10

In recent years, the rising demand for energy and emissions generated by the use of fossil fuels have led the general public to use renewable energy sources. There are excellent conditions for Morocco to benefit from renewable energy. Throughout the territory, the strength of insolation enables it to make these energy reserves a key factor in its socio-economic growth. Moreover, the rising energy needs of Morocco are mainly covered by imported coal and petroleum. This energy dependency would be minimised by the incorporation of renewable energies into electricity production, promising sustainable growth. It is becoming increasingly necessary to diversify and rationalise the means of electrical power production. However, as a function of light intensity and temperature, the output of this energy is non-linear and varies. Therefore, the photovoltaic PV panel's operating point does not always correspond with the maximum power point. A process is then used to scan for and monitor the maximum power (MPPT) in order to permanently produce the maximum power. This work deals with the intelligent control of an autonomous photovoltaic system (photovoltaic panel associated with the Single Ended Primary Inductor Converter 'SEPIC') using the fuzzy logic algorithm and PandO associated with the PI controller. The purpose of this research is to perform a comparative study between these two algorithms (fuzzy logic and P&O associated with the PI controller) and to demonstrate the effect of the proposed Intelligent MPPT Control in terms of response time, wave ripple and efficiency on the autonomous photovoltaic system.

Author (s) Details

Essaid Ait El Maati
Laboratory of Radiation - Matter & Instrumentation, University Hassan First, Faculty of Science and Technology, B.P.: 577, 26000 Settat, Morocco.

Abdelhadi Radouane
Laboratory of Radiation - Matter & Instrumentation, University Hassan First, Faculty of Science and Technology, B.P.: 577, 26000 Settat, Morocco.

Azeddine Mouhsen
Laboratory of Radiation - Matter & Instrumentation, University Hassan First, Faculty of Science and Technology, B.P.: 577, 26000 Settat, Morocco.

View Book :- https://bp.bookpi.org/index.php/bpi/catalog/book/370

Development of a New Fuzzy Logic Based Algorithm for Tracking Targets | Chapter 8 | Theory and Practice of Mathematics and Computer Science Vol. 5

 Radio-electronic means, including transmission, radio-localization, broadcasting and navigation equipment, allow the execution of various research missions and the management of combat forces. Determining target coordinates and guiding arms towards them, capturing and analysing enemy data, ensuring navigation of ships, aircraft and outer atmospheric equipment, sending orders, decisions, reports and other necessary information to the armed forces; these are just some of the possibilities of radio-electronic technologies. Fuzzy logic makes it possible to explain the laws of order, function and control of a system linguistically. It can also be found when dealing with complex and nonlinear systems that, as their complexity increases, there is a decrease in the importance of the information in explaining the system's global behaviour. Even if such an approach can seem insufficient, it is often superior to a rigorous mathematical approach and less laborious. In favour of fuzzy set theory, the main point is to succeed in working with imprecise, ambiguous notions. This article demonstrates the superiority of a fuzzy tracking system in the conditions of uneven accelerations and sudden change of direction of the targets, as well as in the event of failure to observe the target during successive scans, over the traditional Kalman filter tracking system. To overcome the velocity uncertainty and decrease the measurement error in real-time radar processing, a cascading Kalman filtering algorithm was used. Cascade filters are extended Kalman operated gain filters that use fuzzy logic to detect targets under difficult tracking conditions using radar equipment. The key directions for further study are as follows: applying fuzzy logic under complicated conditions in a real target tracking programme. A classical alpha-beta method can be updated as an initial approach, in order to calculate alpha and beta coefficients by fuzzy logic. An automated structure can be developed based on the fuzzy gain filter provided in this article, which provides the tracking system with modified values for alpha and beta coefficients in real time.

Author(s) Details

Maria Simona Raboaca
National R&D Institute for Cryogenic and Isotopic Technologies, 240050 Rm. Valcea, Romania and Faculty of Electrical Engineering and Computer Science, “Stefan cel Mare” University of Suceava, 720229 Suceava, Romania and Technical University of Cluj-Napoca, 400114 Cluj-Napoca, Romania.

Catalin Dumitrescu
“Polytechnic” University of Bucharest, 060042 Bucharest, Romania.

Ioana Manta
National R&D Institute for Cryogenic and Isotopic Technologies, 240050 Rm. Valcea, Romania and “Polytechnic” University of Bucharest, 060042 Bucharest, Romania.

View Book :- https://bp.bookpi.org/index.php/bpi/catalog/book/341

A Prudence Introspection of Road Accident Prediction through Deep Learning | Chapter 8 | Emerging Trends in Engineering Research and Technology Vol. 4

The research is based on the vehicle mishaps venture to gather and structure a dynamic, secure transportation lamentably vehicle crashes were unavoidable. The accident prediction related to the risky environment data collection and arrangements based on highest priority of reality of accidents. The social activity and roadway structures are useful in the progression of traffic security control approach. We accept that to secure the best possible setback decline impacts with constrained budgetary resources, it is fundamental that measures  be  set up  on coherent and objective studies of the explanations behind mishaps and seriousness of wounds. A survey based on the different algorithms able to predict the road accident prevention methods. This paper exhibits a couple of models to predict the reality of harm that occurred in the midst of car accidents using three artificial intelligent approaches (AI). The proposed scheme contributes a neural system prepared utilizing decision trees and fluffy c implies clustering methodology for division.

Author (s) Details

V. Priya
Department of Computer Science, School of Computing Sciences, Vels Institute of Science, Technology and Advanced Studies, (VISTAS), Chennai, India and Department of Computer Appications, Dr. MGR Janaki College of Arts and Science for Women, Chennai, India.

Dr. C. Priya
Department of Information Technology, School of Computing Sciences, Vels Institute of Science, Technology and Advanced Studies, (VISTAS), Chennai India.

View Book :- http://bp.bookpi.org/index.php/bpi/catalog/book/180