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Article | 01-December-2015

SEFP: A NEW ROUTING APPROACH USING FUZZY LOGIC FOR CLUSTERED HETEROGENEOUS WIRELESS SENSOR NETWORKS

Wireless sensor networks (WSNs) are composed of set sensor nodes communicating through wireless channels with limited resources. Therefore, several routing protocols and approaches about energy efficient operation of WSNs have been proposed. Clustering algorithm based routing protocols are well used for efficient management of sensing sensor node energy resources. However, many researches were focused on optimization of well-known hierarchical routing approaches of WSNs using fuzzy logic system

hassan EL ALAMI, Abdellah NAJID

International Journal on Smart Sensing and Intelligent Systems, Volume 8 , ISSUE 4, 2286–2306

Article | 03-November-2017

FLOW REGIME IDENTIFICATION IN PNEUMATIC CONVEYOR USING ELECTRODYNAMIC TRANSDUCER AND FUZZY LOGIC METHOD

problems and further more improve efficiency in the manufacturing or chemical processes. This study proposes to use electrodynamic transducer to measure electrical charge within pneumatic pipeline and utilize the fuzzy logic technique to identify the pattern of flow regimes through pneumatic pipeline. Promising results are obtained through experimental studies.

M. F. Rahmat, N. S. Kamaruddin, M. D. Isa

International Journal on Smart Sensing and Intelligent Systems, Volume 2 , ISSUE 3, 396–416

Research Article | 01-September-2017

CLUSTER HEAD ELECTION MECHANISM-BASED ON FUZZY LOGIC (CHEF) WITH TDMA IN WSN

the network, even the cluster head is elected according to check their residual energy considerable amount of energy will drain automatically to overcome this drawback by considering the protocol a fuzzy logic approach is used to elect the cluster head based on three descriptors-energy, centrality & distance and second CH is elected according to TDMA to overcome the data lost during energy drain occur in the CH .NS-2 simulation shows that proposed protocol provides higher energy efficiency. This

G Vijayalakshmi, M.Anto Bennet, P. Shenbagavalli, M. Vijayalakshmi, S. Saranya

International Journal on Smart Sensing and Intelligent Systems, Volume 10 , ISSUE 5, 395–413

Research paper | 02-November-2017

THE AUTONOMOUS GOLF PLAYING MICRO ROBOT: WITH GLOBAL VISION AND FUZZY LOGIC CONTROLLER

This paper presents design concepts in developing an Autonomous Golf Playing Micro Robot. The robot moves autonomously using 2 DC motors controlled by a remote PC using fuzzy logic system. A servomotor is used for the motion of the putter in hitting the golf ball. A microcontroller is used to process the information sent by the computer through RF communication and drive the robot motors for appropriate motions. The robot plays golf` in a defined environment and avoids obstacles. A real golf

N. G. Jabson, K.G. B. Leong, S. W. Licarte, G. M. S. Oblepias, E. M. J. Palomado, E .P. Dadios

International Journal on Smart Sensing and Intelligent Systems, Volume 1 , ISSUE 4, 824–841

Article | 03-November-2017

MODELING AND CONTROLLER DESIGN FOR THE VVS-400 PILOT SCALE HEATING AND VENTILATION SYSTEM

using data acquisition (DAQ) card PCI-1711. An artificial Fuzzy controller approach is incorporated in two ways which are conventional Fuzzy logic controller (FLC) and a replacement of conventional fuzzy controller known as Single input fuzzy logic controller (SIFLC). Simulations and experiment validate the equivalency of both controllers. Results reveal that SIFLC found to be better than FLC due to its less computation time compared to conventional FLC.

M.F. Rahmat, N.A. Mohd Subha, Kashif M.Ishaq, N. Abdul Wahab

International Journal on Smart Sensing and Intelligent Systems, Volume 2 , ISSUE 4, 579–601

Article | 01-June-2016

A PID BASED ANFIS & FUZZY CONTROL OF INVERTED PENDULUM ON INCLINED PLANE (IPIP)

The objective of this study is to present an offline control of highly non-linear inverted pendulum system moving on a plane inclined at an angle of 10° from horizontal. The stabilisation was achieved using three different soft-computing control techniques i.e. Proportional-integral-derivative (PID), Fuzzy logic and Adaptive neuro fuzzy inference system (ANFIS). A Matlab-Simulink model of the proposed system was initially developed which was further simulated using PID controllers based on

Ashwani Kharola

International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 2, 616–636

Article | 26-March-2020

DEVELOPMENT OF THE RAILWAY POINT ELECTRIC HEATING INTELLECTUAL CONTROL ALGORITHM

The article reviews and describes the problems of the railway point heating conventional control system considering its structure, simple design, disadvantages and nonconformity. As a solution to the described problem, an innovative and advanced point heating control algorithm is proposed based on Mathlab’s Fuzzy Logic Designer module, which will allow control of heating more effectively and intellectually. The tasks for the advanced and intellectual point heating control system were set

Ruslans MUHITOVS, Mareks MEZITIS, Ilja KORAGO

Transport Problems, Volume 15 , ISSUE 1, 71–80

Article | 24-March-2018

IMPROVING SAFETY ON THE CROSSWALKS WITH THE USE OF FUZZY LOGIC

Irina MAKAROVA, Ksenia SHUBENKOVA, Vadim MAVRIN, Polina BUYVOL

Transport Problems, Volume 13 , ISSUE 1, 97–109

Article | 27-August-2018

OPTIMIZATION OF TRUSSES WITH SELF-ADAPTIVE APPROACH IN GENETIC ALGORITHMS

This paper presents a genetic algorithm method for the optimization of the weight of steel truss structures. In the method of genetic algorithm integer encoding of a discrete set of design variables and novel self-adaptive method based on fuzzy logic mechanism are applied for improving the quality and speed of optimization. Self-adaptive method is applied simultaneously in the selection of chromosomes and to control basic parameters of genetic algorithm. The algorithm proposed in the work was

Krzysztof GRYGIEREK

Architecture, Civil Engineering, Environment, Volume 9 , ISSUE 4, 67–78

Research Article | 23-October-2017

SOLVING TRANSPORT LOGISTICS PROBLEMS IN A VIRTUAL ENTERPRISE THROUGH ARTIFICIAL INTELLIGENCE METHODS

The paper offers a solution to the problem of material flow allocation within a virtual enterprise by using artificial intelligence methods. The research is based on the use of fuzzy relations when planning for optimal transportation modes to deliver components for manufactured products. The Fuzzy Logic Toolbox is used to determine the optimal route for transportation of components for manufactured products. The methods offered have been exemplified in the present research. The authors have

Vitaliy PAVLENKO, Tetiana PAVLENKO, Olga MOROZOVA, Anna KUZNETSOVA, Olena VOROPAI

Transport Problems, Volume 12 , ISSUE 2, 31–42

Research Article | 15-February-2020

A Fuzzy Based Predictive Cluster Head Selection Scheme for Wireless Sensor Networks

Power of Sensor Nodes, Degree of Neighboring Nodes, Distance between the Node and Base Station, Sensor Node Movement. In this approach, the fuzzy logic evaluates the Cluster Head Selection Probability which is based on the node’s previous communication history to decide the Cluster Head. The proposed algorithm is implemented using Matlab. The simulation results show that the proposed Cluster Head Selection technique is superior to other proposals.

Hemavathi Natarajan, Sudha Selvara

International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 5, 1–8

Article | 11-April-2018

Research on the application of dynamic fuzzy logic in intelligent knowledge base system

Wang Tao

International Journal of Advanced Network, Monitoring and Controls, Volume 2 , ISSUE 3, 89–92

Article | 30-July-2018

DIFFERENT DEFUZZIFICATION METHODS IN GUIMBAL CABRI G2 HELICOPTER TAKEOFF POSSIBILITY EVALUATION

Marlena Mendrek, Norbert Grzesik, Aneta Krzyżak, Konrad Kuźma

Transport Problems, Volume 13 , ISSUE 2, 27–38

Article | 03-November-2017

APPLICATION OF SELF-TUNING FUZZY PID CONTROLLER ON INDUSTRIAL HYDRAULIC ACTUATOR USING SYSTEM IDENTIFICATION APPROACH

experimental works. Fuzzy logic is used to tune each parameter of PID controller. Through simulation in Matlab by selecting appropriate fuzzy rules are designed to tune the parameters Kp, Ki and Kd of the PID controller, the performance of the hydraulic system has improved significantly compare to conventional PID controller.

Zulfatman, M. F. Rahmat

International Journal on Smart Sensing and Intelligent Systems, Volume 2 , ISSUE 2, 246–261

Research Article | 21-April-2017

Method for pre-processing of level crossing image

presented. Proposed method accounts unequal subjective informational content of different LC image regions (using fuzzy logic and wavelet transform). Comparison of this method with plain set partitioning in hierarchical trees (SPIHT) technique showed that proposed method allows obtaining better result at image compression in terms of reconstruction quality and compression ratio.

Roman RYBALKA, Konstantin HONCHAROV

Transport Problems, Volume 10 , ISSUE 1, 79–86

Research Article | 01-December-2011

Type-2 Fuzzy Kalman Hybrid Application for Dynamic Security Monitoring Systems based on Multiple Sensor Fusion

next state estimates of agent(s) in uncertain environment. Finally, our proposed system transforms system state to be able to make a security awareness decision, using type-2 fuzzy logic system to handle exhibited uncertainty, for asset scenery under surveillance. It is shown that the system performance can exhibit promising improvements for this dynamic security monitoring situation as a result of using the above complementary heterogeneous set of sensors.

T. K. Dakhlallah, M. A. Zohdy, O.M. Salim

International Journal on Smart Sensing and Intelligent Systems, Volume 4 , ISSUE 4, 607–629

Research Article | 28-February-2018

Implementation of a cost-effective fuzzy MPPT controller on the Arduino board

Carlos Robles Algarín, Roberto Liñán Fuentes, Adalberto Ospino Castro

International Journal on Smart Sensing and Intelligent Systems, Volume 11 , ISSUE 1, 1–10

research-article | 30-November-2018

VARIOUS PRESENTATION OF NOISE PERCEPTION IN BYDGOSZCZ GREEN AREAS

Małgorzata SZTUBECKA, Marta SKIBA, Maria MRÓWCZYŃSKA, Anna BAZAN-KRZYWOSZAŃSKA

Architecture, Civil Engineering, Environment, Volume 12 , ISSUE 3, 113–120

Article | 06-November-2017

A REVIEW OF ARTIFICIAL FISH SWARM OPTIMIZATION METHODS AND APPLICATIONS

processing and so on. Also, various methods combining the AFSA with other optimization methods like PSO, Fuzzy Logic, Cellular Learning Automata or intelligent search methods like Tabu search, Simulated Annealing , Chaos Search and etc.

Mehdi Neshat, Ali Adeli, Ghodrat Sepidnam, Mehdi Sargolzaei, Adel Najaran Toosi

International Journal on Smart Sensing and Intelligent Systems, Volume 5 , ISSUE 1, 108–148

Article | 03-November-2017

PERFORMANCE ANALYSIS OF PATIENT SPECIFIC ELMAN-CHAOTIC OPTIMIZATION MODEL FOR FUZZY BASED EPILEPSY RISK LEVEL CLASSIFICATION FROM EEG SIGNALS

Dr.R HariKumar, T. Vijayakumar

International Journal on Smart Sensing and Intelligent Systems, Volume 2 , ISSUE 4, 612–635

Article | 01-June-2016

DESIGN OF SMART ROBOT FOR WRIST REHABILITATION

level. A fuzzy logic controller is implemented in the LabVIEW-based human-machine interface (HMI) to determine the desired angle and velocity in real time. Parameters and results of each exercise can be stored and operated later in analysis and evolution of patient progress.

Ismail Ben Aabdallah, Yassine Bouteraa, Chokri Rekik

International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 2, 1029–1053

Article | 31-December-2020

RISK AND HUMAN FACTOR IN CARRIAGE OF DANGEROUS GOODS BY ROAD

Authors in the article present an original method of risk assessment, taking “human errors” into account in its assumptions, filling an existing methodological gap in this field of study. This article presents a general concept of a method: estimating risk assessment and modeling human factors as the main cause of a road accident. Fuzzy logic techniques have been used to generate the value of the parameter characterizing the human factor. The authors’ “band” model

Sylwia BĘCZKOWSKA, Włodzimierz CHOROMAŃSKI, Iwona GRABAREK

Transport Problems, Volume 15 , ISSUE 4, Part 1, 19–28

Article | 25-March-2018

IMPROVING METROLOGICAL PROPERTIES OF ELECTRIC TRACTION ENERGY METERS USING FUZZY CONTROLLERS

This paper presents the possibility of using a fuzzy controller to correct metrological properties of an electric traction energy meter. So far, no algorithms based on fuzzy logic to determine the desired conversion value of the current channel of the electricity meter have been applied. Currently, for the mentioned channel, conventional methods of gain determination are used, based on a sequential algorithm that controls operation of the programmable gain amplifier. The proposed corrector is

Bartosz DOMINIKOWSKI, Krzysztof PACHOLSKI, Jan ANUSZCZYK, Andrzej GOCEK

Transport Problems, Volume 13 , ISSUE 1, 147–158

Research Article | 01-June-2011

TEMPERATURE CONTROL OF A CONTINUOUS STIRRED TANK REACTOR BY MEANS OF TWO DIFFERENT INTELLIGENT STRATEGIES

least square and fuzzy logic approaches. The goal is to control the temperature of the CSTR in presence of the set point changes. The works followed with designing those controllers and simulating in MATLAB software. The performance of the proposed controllers have been consider based on the Sum of the Square Error (SSE) and Integral Absolute Error(IAE) Criteria. The results clearly indicate that both suggested control strategies offer an acceptable performance with respect to the functional changes

Mohd Fua’ad Rahmat, Amir Mehdi Yazdani, Mohammad Ahmadi Movahed, Somaiyeh Mahmoudzadeh

International Journal on Smart Sensing and Intelligent Systems, Volume 4 , ISSUE 2, 244–267

research-article | 30-November-2019

MODELING OF ENVIRONMENTAL-ENERGY EFFICIENCY OF THE BIOGAS INSTALLATION WITH HEAT SUPPLYING OF THE BIOMASS FERMENTATION PROCESS

technological solutions of biogas installations [15–18]. Environmental-economic evaluation of the bioconversion performance implementation by energy criterion was investigated in [11, 15, 19]. But it was made without considering the use of alternative energy sources for the heat supply of the biomass fermentation process, by taking into account the dynamic environment of the project. Various mathematical methods (statistical, analytical, analogues, expert evaluations, fuzzy logic and artificial neural

Georgiy RATUSHNIAK, Yuriy BIKS, Olena LYALYUK, Olga RATUSHNYAK, Andriy LYALYUK

Architecture, Civil Engineering, Environment, Volume 13 , ISSUE 4, 115–124

Article | 01-September-2012

IMPERIALIST COMPETITIVE ALGORITHM-BASED FUZZY PID CONTROL METHODOLOGY FOR SPEED TRACKING ENHANCEMENT OF STEPPER MOTOR

degradation of the control action. The main purpose of this paper is to provide an intelligent approach for improving the functionality of conventional PID controller in the problem of trajectory tracking in permanent magnet stepper motor (PMSM). Combination of a meta-heuristic algorithm called imperialist competitive algorithm (ICA) and fuzzy logic is employed for online tuning of PID controller. This, consequently, establishes an intelligent structure, fuzzy-PID controller (FPID), which is more flexible

Amir Mehdi Yazdani, Ahmadreza Ahmadi, Salinda Buyamin, Mohd Fua’ad Rahmat, Farshad Davoudifar, Herlina Abd Rahim

International Journal on Smart Sensing and Intelligent Systems, Volume 5 , ISSUE 3, 717–741

research-article | 12-August-2020

Dynamical analysis and controllers performance evaluation for single degree-of-freedom system

in a phase variable form. Sharma and Singh (2014) controlled the vibrations of MSDS utilizing fuzzy logic. However, vibration technology grew and took on a more interdisciplinary character. This was caused by more demanding performance criteria and specifications for the design of all types of machines and structures. So, considerable attention has been paid to research, development, and implementation of structural control devices. The essential aim of this project is to dynamical analysis for

Ivan Isho Gorial

International Journal on Smart Sensing and Intelligent Systems, Volume 13 , ISSUE 1, 1–12

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