Journal of Intelligent & Fuzzy Systems - Volume 39, issue 6

Authors: Arun, Ranganathan | Balamurugan, Rangaswamy

Article Type: Research Article

Abstract: In Wireless Sensor Networks (WSN) the energy of Sensor nodes is not certainly sufficient. In order to optimize the endurance of WSN, it is essential to minimize the utilization of energy. Head of group or Cluster Head (CH) is an eminent method to develop the endurance of WSN that aggregates the WSN with higher energy. CH for intra-cluster and inter-cluster communication becomes dependent. For complete, in WSN, the Energy level of CH extends its life of cluster. While evolving cluster algorithms, the complicated job is to identify the energy utilization amount of heterogeneous WSNs. Based on Chaotic Firefly Algorithm CH …(CFACH) selection, the formulated work is named “Novel Distributed Entropy Energy-Efficient Clustering Algorithm”, in short, DEEEC for HWSNs. The formulated DEEEC Algorithm, which is a CH, has two main stages. In the first stage, the identification of temporary CHs along with its entropy value is found using the correlative measure of residual and original energy. Along with this, in the clustering algorithm, the rotating epoch and its entropy value must be predicted automatically by its sensor nodes. In the second stage, if any member in the cluster having larger residual energy, shall modify the temporary CHs in the direction of the deciding set. The target of the nodes with large energy has the probability to be CHs which is determined by the above two stages meant for CH selection. The MATLAB is required to simulate the DEEEC Algorithm. The simulated results of the formulated DEEEC Algorithm produce good results with respect to the energy and increased lifetime when it is correlated with the current traditional clustering protocols being used in the Heterogeneous WSNs. Show more

Keywords: Wireless Sensor Network (WSN), cluster head (CH), Distributed Entropy Energy-Efficient Clustering (DEEEC), distributed, heterogeneous, Chaotic Firefly Algorithm (CFA), clustering, and energy consumption

DOI: 10.3233/JIFS-189135

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 6, pp. 8139-8147, 2020

Authors: Li, Ping | Ni, Zhiwei | Zhu, Xuhui | Song, Juan

Article Type: Research Article

Abstract: Domain adaptation (DA) aims to train a robust predictor by transferring rich knowledge from a well-labeled source domain to annotate a newly coming target domain; however, the two domains are usually drawn from very different distributions. Most current methods either learn the common features by matching inter-domain feature distributions and training the classifier separately or align inter-domain label distributions to directly obtain an adaptive classifier based on the original features despite feature distortion. Moreover, intra-domain information may be greatly degraded during the DA process; i.e. , the source data samples from different classes might grow closer. To this end, this …paper proposes a novel DA approach, referred to as inter-class distribution alienation and inter-domain distribution alignment based on manifold embedding (IDAME). Specifically, IDAME commits to adapting the classifier on the Grassmann manifold by using structural risk minimization, where inter-domain feature distributions are aligned to mitigate feature distortion, and the target pseudo labels are exploited using the distances on the Grassmann manifold. During the classifier adaptation process, we simultaneously consider the inter-class distribution alienation, the inter-domain distribution alignment, and the manifold consistency. Extensive experiments validate that IDAME can outperform several comparative state-of-the-art methods on real-world cross-domain image datasets. Show more

Keywords: Domain adaptation, structural risk minimization, maximum mean discrepancy, manifold embedding

DOI: 10.3233/JIFS-189136

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 6, pp. 8149-8159, 2020

Authors: Khan, Anwar | Ur Rahman, Atiq | Zareei, Mahdi | Us Sama, Najm | Vargas-Rosales, Cesar | Qadir, Junaid | Mohamed, Ehab Mahmoud

Article Type: Research Article

Abstract: In underwater acoustic networks (UANs), an acoustic modem is one of the key elements that governs underwater communications. The major demerit of the existing surveys conducted on acoustic modems is that such surveys do not comprise of the novel and state-of-the-art modems. In addition, the described characteristics do not specify the full potential and capabilities of the designed modems. This, in consequence, makes it difficult to identify the parameters for improvement in future investigation. Also, it does not provide the optimal choice of a modem for various underwater applications. To overcome these challenges, this paper considers the latest acoustic modems …designed in the last five years. Further, the modems are classified in terms of their suitability for the various applications, which helps the selection of the appropriate modem for a particular application scenario. Furthermore, the specification of every modem is described in a manner so that it is completely analyzed in highlighting its promising performance parameters as well exposing its region of compromised performance. Besides, acoustic modems developed by commercial manufacturers are also described. These strategies help researchers, scientists and engineers to compare to opt for the right modem for the right application. They also provide knowledge of the margin for improvement in the characteristics of these modems. Finally, perspectives are given for future investigation to make these modems more efficient, robust, smart and effective. Show more

Keywords: Acoustic modem, underwater acoustic networks, underwater communications, acoustic modem design

DOI: 10.3233/JIFS-189137

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 6, pp. 8161-8171, 2020

Authors: Jeon, Gwanggil

Article Type: Research Article

Abstract: Deinterlacing is the procedure of reworking interlaced video signal into a non-interlaced format. The interlaced video signal is generally used in both of analog TV and HDTV with 1080i. The deinterlacing method was designed to solve a legacy issue, therefore the interlaced signal which was requested by analog TV must be trans-formed to be displayed on HDTV. This paper introduces fuzzy concept-based deinterlacing method and shows how it can be executed on various test set. The proposed method includes weight calculation stage and deinterlacing implementation stage. In weight calculation stage, I compute correct weight values on each edge direction, which …are calculated using fuzzy concepts. In deinterlacing implementation stage, the computed weight values are used to obtain final deinterlacing pixels by multiplying them with candidate existent pixels. The presented method provides outstanding subjective and objective results in various data set. Show more

Keywords: Fuzzy concept, intelligent system, cognitive concept color image

DOI: 10.3233/JIFS-189138

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 6, pp. 8173-8179, 2020

Authors: Saravanan, P. | Sri Ram, E. | Jangiti, Saikishor | Ponmani, E. | Ravi, Logesh | Subramaniyaswamy, V.

Article Type: Research Article

Abstract: Dysarthria is a speech disorder caused by stroke, Parkinson’s disease, neurological injury, or tumors that damage the nervous system and weaken the speech quality. Developing a unique voice command system for Dysarthric speech helps to recognize impaired speech and convert them into text or input commands. Hidden Markov Model (HMM) is one of the widely used generative model-based classifiers for Dysarthric speech recognition. But due to insufficient training data, HMM doesn’t provide optimal results on overlapping classes. We propose an ensemble Gaussian mixture model to recognize impaired speech more accurately. Our model converts the sequence of feature vectors into a …fixed dimensional representation of patterns with varying lengths. The performance efficiency of the proposed model is evaluated on the Dysarthric UA-speech benchmark dataset. The discriminatory information provided by the proposed approach yields better classification accuracy even for shallow intelligibility words compared to conventional HMM. Show more

Keywords: Dysarthric speech recognition, ensemble, hidden Markov model, classification

DOI: 10.3233/JIFS-189139

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 6, pp. 8181-8189, 2020

Authors: Akshya, J. | Priyadarsini, P.L.K.

Article Type: Research Article

Abstract: In recent times, Unmanned Air Vehicles (UAVs) are being deployed for several tasks of terrain coverage such as surveillance, photogrammetry, smart irrigation, civil security, and disaster management. In these applications, one of the most vital issues to be addressed is, covering the area under observation with minimum traversal for the UAV. So, the problem addressed in this paper is as follows: For a given geographic area and the given parameters describing the UAV’s coverage capacity, the problem is to find an optimal route that covers the given geographic area. In this paper, an optimal path planning algorithm for the area …under observation, given as a closed curve, is proposed. The algorithm partitions the given area of interest into multiple non-uniform rectangles while considering other parameters such as the flying altitude of the UAV and obstacles that could be encountered during its flight. The problem is transformed into Traveling Salesman Problem by constructing a graph from the rectangular partitioning. Effective approximate solutions are provided to this problem, using the Minimum Spanning Tree (MST) approximation algorithm and Ant Colony Optimization (ACO). The experimental results show that ACO outperforms the MST based algorithm as it does not get stuck in local minima. Show more

Keywords: Travelling salesman problem, minimum spanning tree, area coverage, path planning, ant colony optimization, UAV

DOI: 10.3233/JIFS-189140

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 6, pp. 8191-8203, 2020

Authors: Ragala, Ramesh | Bharadwaja Kumar, G

Article Type: Research Article

Abstract: Due to the massive memory and computational resources required to build complex machine learning models on large datasets, many researchers are employing distributed environments for training the models on large datasets. The parallel implementations of Extreme Learning Machine (ELM) with many variants have been developed using MapReduce and Spark frameworks in the recent years. However, these approaches have severe limitations in terms of Input-Output (I/O) cost, memory, etc. From the literature, it is known that the complexity of ELM is directly propositional to the computation of Moore-Penrose pseudo inverse of hidden layer matrix in ELM. Most of the ELM variants …developed on Spark framework have employed Singular Value Decomposition (SVD) to compute the Moore-Penrose pseudo inverse. But, SVD has severe memory limitations when experimenting with large datasets. In this paper, a method that uses Recursive Block LU Decomposition to compute the Moore-Penrose generalized inverse over the Spark cluster has been proposed to reduce the computational complexity. This method enhances the ELM algorithm to be efficient in handling the scalability and also having faster execution of the model. The experimental results have shown that the proposed method is efficient than the existing algorithms available in the literature. Show more

Keywords: Recursive Block LU Decomposition, Extreme Learning Machine, Apache Spark, Moore-Penrose pseudoinverse, Big Data

DOI: 10.3233/JIFS-189141

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 6, pp. 8205-8215, 2020

Authors: Giełczyk, Agata | Choraś, Michał

Article Type: Research Article

Abstract: Biometrics, as an intelligent and secure authentication method, has recently become increasingly popular. Modern society uses fingerprints, iris and face recognition on a daily basis, even on a large scale; for example, in biometric passports. However, there are still other biometric traits that may provide sufficiently high accuracy but have not been widely implemented so far, e.g. palmprints. In this article, we propose a novel human-centred method of palmprint-based user verification. The proposed method is dedicated to the mobile devices and provides the accuracy reaching 94.5%. Moreover, the method is time-computing efficient and gives the response in less than 0.2 s. …All the experiments described in the article were performed using the benchmark PolyU database and three widely available mobile phones. Show more

Keywords: Mobile biometrics, palmprint, pattern recognition, intelligent user authentication, security, image processing

DOI: 10.3233/JIFS-189142

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 6, pp. 8217-8224, 2020

Authors: Babu, Bandla Pavan | Indragandhi, V

Article Type: Research Article

Abstract: In an Electrical system, Power Quality (PQ) is becoming significant to all types of consumers. With the increase of power demand from end users, maintaining the quality of power within the limitations is a major problem. In this paper, harmonic analysis in a grid connected three phase induction motor is tested according to PQ international standards which are found in the International Electro technical Commission (IEC). These mentioned standards are maintained in the transmission line and fed to the induction motor through a regenerative grid simulator. With the results obtained, execution of this fuzzy control system can be investigated through …the digital simulation, which is based on MATLAB-SIMULINK package. It provides human operands to constitute a knowledge base which is used for diagnosing power quality and capable of predicting abnormal operation in Industries. Show more

Keywords: Power quality, power quality issues and fuzzy logic controller

DOI: 10.3233/JIFS-189143

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 6, pp. 8225-8235, 2020

Authors: Devarajan, Malathi | Sasikaladevi, N.

Article Type: Research Article

Abstract: With the growing trend of Communication Technologies (ICT), buying goods through online has been increased drastically. Besides, e-payment makes online purchase easier and made our daily life more convenient. However, there exists a user privacy and data security issue in conventional e-payment systems. Thus, a hyper elliptic curve based signcryption scheme is proposed to achieve reduced computational cost. Because, most of the payment is processed on resource constraint devices like smart phone, hence an energy efficient e-payment system is in requisite. In order to ensure user authenticity, an aadhaar number (unique identity) is used to generate signcryption key. The proposed …signcryption scheme can be implemented in real-time applications like e-payment system to ensure confidentiality, privacy, authenticity and integrity. The security of the system is validated through a simulation tool – AVISPA (Automated Validation of Internet Security Protocols and Applications). Further, the resistivity against various cryptographic attacks was analyzed informally and also the computational cost is estimated and compared with other related schemes. Show more

Keywords: E-payment system, signcryption, hyper elliptic curve, security analysis, cybersecurity

DOI: 10.3233/JIFS-189144

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 6, pp. 8237-8247, 2020