Journal of Intelligent & Fuzzy Systems - Volume Pre-press, issue Pre-press

Authors: Yuguang, Zhong | Fan, Yang | Feng, Liu

Article Type: Research Article

Abstract: A new artificial bee colony algorithm called modified artificial bee colony algorithm (MABC) is presented to solve the multi-objective fuzzy flexible job-shop scheduling problem (MFFJSP) in this paper. The objectives of MFFJSP are to minimize the maximum fuzzy completion time (fuzzy makespan), maximize the weighted agreement index and minimize the maximum fuzzy machine workload. The three-point satisfaction-degree model is adopted to calculate the agreement index and this model can indicate the degree of satisfaction between the due date and the processing time. An effective local search operator based on variable neighborhood search (VNS) and crossover operator are embedded in this …algorithm for obtaining good searching performance. In order to make the novel algorithm valid, we texted it, five benchmark instances and a practical case for the sake of effectiveness. Then, the performance of the proposed MABC has been compared with other existing algorithms to prove the superiority of this algorithm. In the end, the Taguchi method is used to investigate the impact of three key parameters from the MABC. Show more

Keywords: Artificial bee colony algorithm, agreement index, variable neighborhood search, multi-objective fuzzy flexible job-shop scheduling problem

DOI: 10.3233/JIFS-181152

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-19, 2018

Authors: Zadehparizi, Fatemeh | Jam, Shahrokh

Article Type: Research Article

Abstract: In this paper, a new chaotic teaching learning based optimization (CTLBO) is proposed. TLBO is a rather newly proposed population-based algorithm. This algorithm has no control parameters for the tuning and has a simple structure. We improve its performance by chaotic maps. First, the presented CTLBO is tested on nine unimodal/multimodal benchmark functions. Then, chaotic sequences are applied as vectors with different initial values for design of a frequency reconfigurable antenna (FRA) as a practical example. Comparisons of the performance of this algorithm with those of the basic TLBO, genetic algorithm and particle swarm optimization show the ability of this …algorithm in design of FRAs in terms of faster convergence and better performance. A prototype of the optimized antenna with CTLBO algorithm is fabricated and the simulation and measurement results agree suitably. Show more

Keywords: Teaching learning based optimization, Chaos theory, Frequency reconfigurable antenna.

DOI: 10.3233/JIFS-171420

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-8, 2018

Authors: Ignacio, Algredo-Badillo | Luis Alberto, Morales-Rosales | Carlos Arturo, Hernandez-Gracidas | Juan Crescenciano, Cruz-Victoria | Daniel, Pacheco-Bautista | Miguel, Morales-Sandoval

Article Type: Research Article

Abstract:  Object detection is a technologically challenging issue, which is useful for safety in outdoor environments, where this object, frequently, represents an obstacle that must be avoided. Although several object detection methods have been developed in recent years, they usually tend to produce poor results in outdoor environments, being mainly affected by sunlight, light intensity, shadows, and limited computational resources. This open problem is the main motivation for exploring the challenge of developing low-cost object detection solutions, with the characteristic of being easily adaptable and having low power requirements, such as the ones needed in on-board obstacle detection systems in automobiles. …In this work, we present a trade-off analysis of several architectures using an FPGA-based design that implements ANNs (FPGA-ANN) for outdoor obstacle detection, focused in road safety. The analyzed FPGA-ANN architectures merge outdoor data gathered by a Kinect sensor, images and infrared data, to construct an outdoor environment model for object detection, which allows to detect if there is an obstacle in the near surroundings of a vehicle. Show more

Keywords: Obstacle detection, artificial neural networks, FPGA implementation, architecture trade-off analysis, road safety

DOI: 10.3233/JIFS-169997

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-12, 2018

Authors: Tarek, Zahraa | AL-Rahmawy, Mohammed | Tolba, Ahmed

Article Type: Research Article

Abstract:  Traffic congestion is a big problem that influences the traffic flow in big cities, so better control of the traffic signals is always searched to solve this type of traffic problems. Fog computing is one of the most efficient paradigms for traffic system control as it enables connecting and analyzing big traffic data to help the control of traffic signals in the appropriate time. There are different optimization methods, which can be used to control traffic signal; one of these is Particle Swarm Optimization (PSO ) algorithm, and there is correlation between PSO parameters (particle velocity, position) and traffic …parameters (vehicle speed and location). Roundabouts with traffic signals is one of the modern roads infrastructures used to reduce traffic jam. Our objective is to minimize the average delay time in order to decrease the traffic congestion. This paper presents a control strategy called COTSD-PSO for optimizing traffic signaling based on PSO combined with three sub-controllers; this strategy depends on traffic control rules. These sub-controllers are PSO-Jump , PSO-Turn and PSO-Mix depend on two parameters; extension time and urgency degree for the different phases in the traffic cycle. PSO algorithm is applied to optimize the control of the traffic signal network for roundabouts model on fog computing environments using real data from Taif streets in KSA country. The PSO simulation results show that the PSO-Mix has the fastest convergence rate for the optimal solution and the best performance in minimizing the average delay time compared with the other combinations. Show more

Keywords: Fog computing, traffic control, particle swarm optimization, roundabout, extension time, urgency degree, delay time

DOI: 10.3233/JIFS-18077

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-15, 2018

Authors: Ozkok, Beyza Ahlatcioglu

Article Type: Research Article

Abstract: Linear Programming (LP) is an optimization problem, which deals with finding optimal solutions under set of linear inequality or linear equality constraints. Fuzzy Linear Programming (FLP) and Fuzzy Linear Programming problems (FFLP) have gained great importance in recent years due to the uncertainties that may arise in the parameters and variables of the problems. In this paper we provided an extension to Ozkok et al. [Ozkok, B. A., Albayrak, I., Kocken, H. G., & Ahlatcioglu, M. (2016). An approach for finding fuzzy optimal and approximate fuzzy optimal solution of fully fuzzy linear programming problems with mixed constraints. Journal of Intelligent …& Fuzzy Systems, 31(1), 623-632.] to find fuzzy optimal and approximate fuzzy optimal solution of FFLP with trapezoidal fuzzy numbers. Show more

Keywords: Fully fuzzy linear programming problem (FFLP), trapezoidal fuzzy numbers, ranking function, infeasibility

DOI: 10.3233/JIFS-18016

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-12, 2018

Authors: Majumdar, A. | Laskar, N.M. | Biswas, A. | Sood, S.K. | Baishnab, K.L.

Article Type: Research Article

Abstract: With the advent of IoT, cloud/fog based healthcare systems have become a growing trend in modern healthcare systems. These systems comprise of smart sensors, which on integration with medical devices, generate heterogeneous medical big data that can be used in diagnosis of various diseases. However, there is a continuous flow of large quantity of data in such a systems, due to which it may face many difficulties. Among various pre-requisites for proper functioning of these systems, lifetime is a vital factor. Keeping in view these aspects, the use of new hybrid whale-PSO algorithm (HWPSO) in clustering has been proposed for …prolonging the network lifetime by preserving the power of network edge devices. In addition to this, a novel fitness function with a set of relevant criteria of edge devices such as energy factor, average intra-cluster distance, average distance to cluster leader over data analytics center, average sleeping time, and computational load has been taken into account in the selection of cluster leader. The cluster leader is responsible for managing intra-cluster and inter-cluster data communication. Show more

Keywords: e-Healthcare, fog computing, particle swarm optimization, whale optimization

DOI: 10.3233/JIFS-169957

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-13, 2018

Authors: Amiripalli, Shanmuk Srinvas | Bobba, Veeramallu

Article Type: Research Article

Abstract: In the year 2015 per person is having 3.47 devices that will be around 25 billion devices, In future years 2020 expected devices per person are 6.58 which is around 50 billion devices. From this statistic, major problems for IoT devices are scalability and survivability was identified. To address these problems a novel architecture design was proposed named as TGO (Trimet graph optimization) topology for Wireless sensor networks and IoT. As the number of devices increases, scalability increases leads to decrease of Quality of service (QoS). In this paper graph based solution was given for scalability and survivability using TGO …topology. In Scalability model an algorithm and flowchart was proposed. Experiments are conducted on Star of star, TGO of TGO, Wheel of wheel networks. In analysis part we observed TGO consumes less power than star and wheel networks. For parameters like received packets, lost packets, hops etc. TGO lies between star and wheel. In Survivable model Hexagon and TGO are 2 edge survivable networks are compared, whereTGO shows better performance in all parameter. Show more

Keywords: Wireless sensor network, peer to peer network, topology, graph optimization, quality of service

DOI: 10.3233/JIFS-169954

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-12, 2018

Authors: Jeong, Sang-Ki | Choi, Hyeung-Sik | Kang, Jin-Il | Oh, Ji-Youn | Kim, Seo-Kang | Minh Nhat, Thieu Quang

Article Type: Research Article

Abstract: The underwater glider (UG) is an underwater exploration equipment that propels itself with very low power consumption by converting the vertical motion into a horizontal motion using a buoyancy control device and a wing. To enhance gliding performance of the UG, a hybrid underwater glider (HUG) has been developed to compensate for the disadvantages of slow speed and horizontal movement and limited navigation accuracy of the UG by attaching propellant to the UG [15 ]. In this paper, the structure, control system and control algorithm of the HUG are presented. Also, for the developed HUG, motion performance of the …HUG is simulated by computer. To realize precise navigation of the developed HUG, an attitude reference system (ARS) composed of a ring laser gyroscope(RLG) and a geomagnetic sensor is developed with the Extended Kalman Filter (EKF) algorithm. To control the HUG, the six degrees of freedom equations of the HUG with the hydrodynamic force coefficient were studied. A control algorithm based on the neural network was proposed to reduce tracking error of the HUG. To validate the proposed control algorithm, a computer simulation using Matlab / Simulink was performed [13 ]. Show more

Keywords: Hybrid underwater glider, ARS (Attitude Reference System), underwater navigation, neural network self- tuning -PID, neural network - PID parallel controller

DOI: 10.3233/JIFS-169881

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-16, 2018

Authors: Srinivasan, Sundar | ShivaKumar, K.B.

Article Type: Research Article

Abstract: A cognitive radio (CR) can be programmed and configured dynamically to use best wireless channels. Such a radio automatically detects available channels in wireless spectrum, and then accordingly changes its transmission. The CR system consists of primary user or licensed user and secondary user or unlicensed user. The security attacks such as active attack and passive attack are identified between primary user and secondary user and packet loss occurs during packet transmission. The security problem occurring while transmission of signal between primary user and secondary user is rectified by using a hybrid RSA (Riverest, Shaimer and Adleman) and HMAC (Hash …Message Authentication Code) algorithms where former is used for key generation and latter is used for tag generation which is sent along with signal. Additionally packet loss incurred in system incurs is reduced with aid of Markov Chain Model during transmission. The comparison results provided showefficiency of the proposed algorithm in cognitive radio system in terms of parameters such as throughput, encryption time, decryption time, Packet Delivery Ratio and energy consumption. Show more

Keywords: Cognitive radio, RSA (Riverest, Shaimer and Adleman), HMAC (Hash Message Authentication Code), Markov Chain Model, active attack, passive attack

DOI: 10.3233/JIFS-169999

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-11, 2018

Authors: Sinha, Rupesh Kumar | Sahu, S.S.

Article Type: Research Article

Abstract:  Cryptography is the most peculiar way to secure data and most of the encryption algorithms are mainly used for textual data and not suitable for transmission data such as images. It is seen that the generation of secure key in Image cryptography has been a challenging task in the way of providing secured key generation for the transmitted data. In order to aid secured key generation in this context, an optimized secret key generation based on Chebyshev polynomial with Adaptive Firefly (FF) optimization technique is proposed. The optimized key is utilized with process of shuffling, diffusion, and swapping to get …a better encrypted image. At the receiver end, reverse process is applied with optimized key to retrieve the original input image. The efficiency of our proposed method is assessed by the exhaustive experimental study. The results show that the proposed methodology provided correlation coefficient of 0.21, Number of Pixels Change Rate (NPCR) of 0.996, Unified Average Changing Intensity (UACI) of 0.3346 and Information Entropy of 7.995 as compared with the existing methods. Show more

Keywords: Encrypted image, DWT, Chebyshev polynomial, optimized secret key, Adaptive firefly (FF) optimization algorithm

DOI: 10.3233/JIFS-169998

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-11, 2018