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

Authors: Agrawal, Deepika | Pandey, Sudhakar | Gupta, Punit | Kumar Goyal, Mayank

Article Type: Research Article

Abstract: Wireless Sensor Networks is a complex network with millions of small-scale sensor nodes, working together to detect certain physical phenomena. Sensor nodes are operated by battery therefore the major concern is energy efficiency. Clustering is an effective technique to decrease the energy depletion in the network. However, choosing the optimum Cluster Heads is an NP-Hard problem. This paper proposes an unequal clustering technique that selects probationary Cluster Heads through fuzzy logic and the optimization of this probationary Cluster Heads is done through Harmony Search Algorithm (HSA). The proposed algorithm exhibits the dynamic capability of fuzzy logic and high search efficiency …of HSA that extends the network lifespan. The findings are simulated against traditional clustering protocols and compared. The findings obtained show that the protocol proposed is performing superior in terms of network lifespan prolongation and other metrics. Show more

Keywords: Optimal cluster heads, optimization, harmony search algorithm, wireless sensor networks, unequal clustering

DOI: 10.3233/JIFS-189175

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 6, pp. 8587-8597, 2020

Authors: Abdulhay, Enas | Alafeef, Maha | Hadoush, Hikmat | Arunkumar, N.

Article Type: Research Article

Abstract: Autism is a developmental disorder that influences social communication skills. It is currently diagnosed only by behavioral assessment. The assessment is susceptible to the experience of the examiner as well as to the descriptive scaling standard. This paper presents a computer aided approach to discrimination between neuro-typical and autistic children. A new method- based on the computing of the elliptic area of the Continuous Wavelet Transform complex plot of resting state EEG- is presented. First, the complex values of CWT, as a function of both time and frequency, are calculated for every EEG channel. Second, the CWT complex plot is …obtained by plotting the real parts of the resulted CWT values versus the related imaginary components. Third, the 95% confidence value of the elliptic area of the complex plot is computed for every channel for both autistic and healthy subjects; and the obtained values are considered as the first set of features. Fourth, three additional features are computed for every channel: the average CWT, the maximum EEG amplitude, and the maximum real part of CWT. The classification of those features is realized through artificial neural network (ANN). The obtained accuracy, sensitivity and specificity values are: 95.9%, 96.7%, and 95.1% respectively. Show more

Keywords: Autism, EEG, CWT, Elliptic area, classification

DOI: 10.3233/JIFS-189176

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 6, pp. 8599-8607, 2020

Authors: Patel, Chintan | Joshi, Dhara | Doshi, Nishant | Veeramuthu, A. | Jhaveri, Rutvij

Article Type: Research Article

Abstract: With the agile development of the Internet era, starting from the message transmission to money transactions, everything is online now. Remote user authentication (RUA) is a mechanism in which a remote server verifies the user’s correctness over the shared or public channel. In this paper, we analyze an RUA scheme proposed by Chen for the multi-server environment and prove that their scheme is not secured. We also find numerous vulnerabilities such as password guessing attack, replay attack, Registration Center (RC) spoofing attack, session key verification attack, and perfect forward secrecy attack for Chen’s scheme. After performing the cryptanalysis of Chen’s …scheme, we propose a biometric-based RUA scheme for the same multi-server environment. We prove that the proposed authentication scheme achieves higher security than Chen’s scheme with the use of informal security analysis as well as formal security analysis. The formal security analysis of the proposed scheme is done using a widely adopted random oracle method. Show more

Keywords: Multi-server, smart card, biometrics, three factor authentication

DOI: 10.3233/JIFS-189177

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 6, pp. 8609-8620, 2020

Article Type: Other

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 6, pp. 8621-8621, 2020

Authors: Lin, Tang

Article Type: Research Article

Abstract: Although much less fatal than the Ebola and previous SARS virus epidemics, the current coronavirus outbreak (COVID-19) has spread to more people in more countries in a much shorter time frame. With the rapid development of the Internet of things, it has played an important role to track/monitor transmission movements throughout the population. The technology infrastructure between mobile devices, wearable devices and sensors, smart home device makes it possible to readily deploy solutions to monitor and collect data and perform analysis to ensure policy make intelligent, rapid decisions. This research combines AOL and Support Vector Machine to form the Internet …of things cycle through smart home. The parameters of Support Vector Machine model are optimized by ALO algorithm, which shortens the learning time and improves the performance of classifier. Then, the algorithm of ALO is used to optimize the Support Vector Machine intrusion detection method and agent technology, and the intrusion detection model is established. Experimental results show that the combination of these two can effectively reduce the false alarm rate of network intrusion. Show more

Keywords: Support vector machine, intrusion detection, internet of things security, smart home

DOI: 10.3233/JIFS-189258

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 6, pp. 8623-8632, 2020

Authors: Hongwei, Zhu, | Xuesong, Wang,

Article Type: Research Article

Abstract: With the continuous progress of social science and technology, the development of the Internet of things is growing. With the development of Internet of things, security problems emerge in endlessly. During the period of COVID-19, the Internet of Things have been widely used to fight virus outbreak. However, the most serious security problem of the Internet of things is network intrusion. This paper proposes a balanced quadratic support vector machine information security analysis method for Internet of things. Compared with the traditional support vector machine Internet of things security analysis method, this method has a higher accuracy, and can shorten …the detection time, with efficient and powerful characteristics. The method proposed in this paper has certain reference value to the Internet of things network intrusion problem. It provides better security for the Internet of things during the protection period of covid-19. Show more

Keywords: SVM, Balanced binary decision, internet of things security, intrusion detection, COVID-19

DOI: 10.3233/JIFS-189259

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 6, pp. 8633-8642, 2020

Authors: Weining, Sun | Cheli, Zhao

Article Type: Research Article

Abstract: During COVID-19 pandemic, researchers have used innovative technologies for fast tracking the development to end this pandemic. Virtual Reality (VR) has offered an imperative role for fighting this pandemic, through audiovisual-based virtual communication. Virtual reality modeling language (VRML), as an international standard of virtual reality, has developed rapidly. VRML expanded the function of script node by introducing Java and script programs written in java script language. This paper presents a VRML method. Libraries and platoons are virtualized to meet the normal use of users. In principle, any text editing system can be used for VRML programming, but some editing systems …have few related functions and are not suitable for large-scale VRML Scene Design. The VRML algorithm proposed in this paper can be applied to large buildings. The VRML algorithm proposed in this paper is compared with the traditional algorithm. The VRML algorithm proposed in this paper is superior to the traditional algorithm in the aspects of realism, interactivity, design rationality and execution speed. The practicability of the VRML algorithm is proved. It provides help for people who are inconvenient to go out during the protection period of covid-19. Show more

Keywords: Virtual reality modeling language virtual library, virtual volleyball hall, 3D, Internet, system

DOI: 10.3233/JIFS-189260

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 6, pp. 8643-8653, 2020

Authors: Zhaoguo, Liu | Tingting, Liang | Wenzhan, Wang

Article Type: Research Article

Abstract: Under the influence of novel corona virus pneumonia epidemic, the protection of traditional villages is put forward higher request. The spread of the epidemic among villages will make the situation of epidemic prevention and control more difficult. As an important part of culture, traditional villages have high historical value. In this paper, the traditional village protection method, a new geographical data algorithm IData storage method. Compared with the traditional ArcGIS method, it improves the efficiency and accuracy of topographic map entry. IData’s data factory can use the symbolic technology of skeleton lines to represent all the figures in the national …standard mode, and any complex figure can only be represented by one element. Idate can quickly load data and render symbols in a drawing. With the powerful data processing engine of IData data factory, we can check out the errors that other software can’t find and process the data automatically. Records of the loss of traditional villages can be recorded quickly. The establishment and protection of traditional villages have had a beneficial impact. Show more

Keywords: Traditional village protection, big data, COVID-19, ArcGIS

DOI: 10.3233/JIFS-189261

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 6, pp. 8655-8664, 2020

Authors: Tingting, Liang | Zhaoguo, Liu | Wenzhan, Wang

Article Type: Research Article

Abstract: The Covid-19 first occurs in Wuhan, China in December 2019. After that, the virus has spread all over the world and at the time of writing this paper the total number of confirmed cases are above 11 million with over 600,000 deaths. The pattern recognition of complex environment can be used to determine if a COVID-19 breath pattern can be established with accuracy. The traditional decorative pattern detection method has a high degree of recognition in simple scene. However, the efficiency of decorative pattern detection in complex scenes is low and the recognition accuracy is not high. Firstly, the evaluation …index of target detection method is designed. Through this paper, it is found that the success rate of some targets is naturally better than other targets, and easy to distinguish from the background. In order to improve the recognition success rate of the object in the complex environment and determine the position and attitude of the object, the pattern as the artificial identification in the environment is proposed. The interior art decoration pattern is selected as the experimental pattern and the pattern classification evaluation index is designed. The experimental results show that the method proposed in this paper can optimize the pattern subsets which are confused with each other and easy to distinguish from the background. It has a certain reference value for decorative pattern recognition in complex environment for COVID-19 epidemic. Show more

Keywords: Neural network, pattern classification, decorative pattern detection, complex environment, COVID-19

DOI: 10.3233/JIFS-189262

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 6, pp. 8665-8673, 2020

Authors: Jihong, Yang | Lu, Yun

Article Type: Research Article

Abstract: Under the influence of novel corona virus pneumonia epidemic prevention and control, higher requirements for behavior recognition in complex environment are put forward. The accuracy of traditional methods for sports training is not high, so a method is needed to improve the local action recognition to assist sports training. In the process of behavior recognition, if only the track is regarded as an independent individual, the information of its neighbor will be ignored. Therefore, we use KNN algorithm to get the nearest neighbor trajectory. In order to calculate the rich neighborhood information around the track, this paper calculates the complex …relationship between the center track and the neighborhood track from four different angles, including absolute motion, relative motion, distance relationship and direction relationship. Then, from the four different perspectives of variance, discrete coefficient, skewness and kurtosis, this paper proposes a large interval nearest neighbor coding method. This method makes the four eigenvalues complement each other and improves the ability of describing complex and changeable behaviors. The experimental results show that the coding method proposed in this paper can be used for behavior recognition according to different transformation matrix. Show more

Keywords: Behavior recognition, track space-time feature, feature matching, fuzzy set

DOI: 10.3233/JIFS-189263

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 6, pp. 8675-8684, 2020