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,
International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 2286–2306
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 , ISSUE 3, 396–416
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
International Journal on Smart Sensing and Intelligent Systems , ISSUE 5, 395–413
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 , ISSUE 4, 824–841
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.
N.A. Mohd Subha,
N. Abdul Wahab
International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 579–601
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
International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 616–636
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
Transport Problems , ISSUE 1, 71–80
Transport Problems , ISSUE 1, 97–109
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
Architecture, Civil Engineering, Environment , ISSUE 4, 67–78
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
Transport Problems , ISSUE 2, 31–42
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.
International Journal on Smart Sensing and Intelligent Systems , ISSUE 5, 1–8
International Journal of Advanced Network, Monitoring and Controls , ISSUE 3, 89–92
Transport Problems , ISSUE 2, 27–38
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.
M. F. Rahmat
International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 246–261
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.
Transport Problems , ISSUE 1, 79–86
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,
International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 607–629
Carlos Robles Algarín,
Roberto Liñán Fuentes,
Adalberto Ospino Castro
International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 1–10
Architecture, Civil Engineering, Environment , ISSUE 3, 113–120
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.
Adel Najaran Toosi
International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 108–148
International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 612–635
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,
International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 1029–1053
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
Transport Problems , ISSUE 4, Part 1, 19–28
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
Transport Problems , ISSUE 1, 147–158
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,
International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 244–267
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
Architecture, Civil Engineering, Environment , ISSUE 4, 115–124
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,
Mohd Fua’ad Rahmat,
Herlina Abd Rahim
International Journal on Smart Sensing and Intelligent Systems , ISSUE 3, 717–741
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 , ISSUE 1, 1–12