Journal of Intelligent & Fuzzy Systems - Volume 36, issue 3

Authors: Amiripalli, Shanmuk Srinivas | 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. 36, no. 3, pp. 2431-2442, 2019

Authors: Mathi, Senthilkumar | Khatri, Anshu | Sethuraman, Maanasaa | Anbarasi, P.N.

Article Type: Research Article

Abstract: Mobile internet protocol (MIP) is a client based mobility management protocol, and it is used to provide continuous internet service for the user. The mobile user forwards the control and data packets to the home agent whereas, in network-based localized mobility management known as proxy MIP version 6 (MIPv6), the network itself manages the functionality of the mobile user. In proxy MIPv6, the continuous services between the mobile users and the correspondent entities are provided with the help of mobile access gateway via localized mobility anchor. Though, latency and packet loss has been minimized in proxy MIPv6; it still faces …the issue of handoff latency, single point of failure, and non-optimized routing. It can suffer from many security threats due to the inadequacy of the protection of proxy update and acknowledgement messages. Also, it impacts on the challenges such as high scalability, congestion and the cost of the network. Therefore, it is necessary to construct a secure and efficient scheme for proxy MIPv6 while updating the location of the mobile users to the participating principals. Hence, the present paper proposes a new secured scheme for the location update of the mobile host. The security properties of the proposed scheme are validated using the model checker - AVISPA. The numerical results demonstrate that the proposed scheme surpasses the existing approaches regarding enhanced security, significant reduction in communication payload. Show more

Keywords: Mobile IPv6, authentication, mobility management, confidentiality, mobile control function

DOI: 10.3233/JIFS-169955

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 3, pp. 2443-2453, 2019

Article Type: Other

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 3, pp. 2455-2455, 2019

Authors: Li, Yonghong | Li, Jiang

Article Type: Research Article

Abstract: In this paper, the judgment of fuzzy bases of a closed G-V fuzzy matroid is studied and a necessary and sufficient condition of judging fuzzy bases is presented. Based on the results, an intuitive tree structure of a closed G-V fuzzy matroid is proposed and some of its properties are obtained.

Keywords: Fuzzy sets, matroids, fuzzy matroids, fuzzy bases, tree structure

DOI: 10.3233/JIFS-172267

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 3, pp. 2457-2464, 2019

Authors: Lin, Chih-Min | Huynh, Tuan-Tu

Article Type: Research Article

Abstract: This study proposes a fuzzy Cerebellar Model Articulation Controller (CMAC) using a dynamic Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) technique for dealing with the metallic sphere position control of a magnetic levitation system (MLS). The proposed Dynamic TOPSIS Fuzzy CMAC (DTFCMAC) incorporates a multi-criteria decision analysis with a fuzzy structure to decrease the computational load for parameter learning and to enhance the fuzzy reasoning inference for a CMAC. The Shannon entropy index is used to derive the objective weights for the evaluation criterion. By combining entropy weight and TOPSIS, the optimal threshold value for suitable …firing nodes is determined automatically and easily. In the proposed method, the dynamic back-propagation algorithm is applied to train the proposed DTFCMAC online. Moreover, to guarantee the convergence of output tracking error for periodic command tracking, analytical methods developed from a discrete-type Lyapunov function are used to determine the optimal learning-rate parameters for the proposed DTFCMAC. The proposed DTFCMAC is applied to the MLS, and its performance is verified through simulations and experiments. Our findings indicate that the proposed DTFCMAC control system achieves stability and desired control performance for the MLS. Show more

Keywords: Dynamic, TOPSIS, entropy, fuzzy inference system, cerebellar model articulation controller, and magnetic levitation system

DOI: 10.3233/JIFS-171523

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 3, pp. 2465-2480, 2019

Authors: Pandey, Prateek | Litoriya, Ratnesh

Article Type: Research Article

Abstract:  Housing around 17% of the earth’s total population, the Republic of India is a place where 91.6 million of its total population is above 60 years old. Elderly people in India has always been taken care of by their children; however, due to the rampant urbanization and employment constraints, children along with their own families move to the places of their employment leaving old parents alone in their houses, unattended. In this paper, a fuzzy probability transformation based system is proposed to ensure that the elderly are safe in their houses. The scope of this work is limited to learn …the bathroom usage pattern of an elderly individual. If an unusual pattern is detected, the system will inform the caregivers immediately. To deal with the ambiguities, the concept of fuzzy numbers is used in the system. The proposed system utilizes the idea of the Internet of Things (IoT) to collect, transmit and present data to the stakeholders. Bayesian reasoning is used as a rider to the proposed methodology for robust decision making in cases of deep uncertainties. An alternative analysis is also performed on the same data using logistic regression and time-series analysis. The results show that the proposed method learns well with time than the other methods and provides superior accuracy. Show more

Keywords: Activity vigilance system, decision making, elderly safety, fuzzy probability transformation

DOI: 10.3233/JIFS-181146

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 3, pp. 2481-2494, 2019

Authors: Liang, Meishe | Mi, Jusheng | Feng, Tao

Article Type: Research Article

Abstract:  Similarity measure is an important uncertainty measurement in intuitionistic fuzzy set (IFS) theory. In this study, a novel similarity measure is presented by the combination of the information carried by hesitancy degree and the endpoint distance of membership and nonmembership, respectively. Moreover, a numerical example is used to verify the reasonable of the proposed similarity measure. After that, the similarity measure is applied to construct the IF decision-theoretic rough set (IF-DTRS) model and multigranulation IF decision-theoretic rough set (MG-IF-DTRS) model. Some properties of IF-DTRS and MG-IF-DTRS are also investigated. Thirdly, based on granular significance, a novel approach of optimal granulation …selection is formulated. Finally, a heuristic algorithm is designed and the effectiveness of this algorithm is demonstrated by an illustrative example. Show more

Keywords: Similarity measure, Decision-theoretic rough set, Intuitionistic fuzzy sets, Rough set, Multigranulation rough set, Granulation selection

DOI: 10.3233/JIFS-181193

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 3, pp. 2495-2509, 2019

Authors: Sivarathinabala, M. | Abirami, S.

Article Type: Research Article

Abstract:  Due to advancement in technology, surveillance systems have become more automated without manual assistance. This paper presents a new method of gait feature extraction and fusion algorithm to identify the individuals irrespective of the walking style of the person in various occlusion states. This is done in addition to their walking speeds and varying clothing style. The Gait Recognition is performed based on the bio mechanics approach. The kinematics features are also called as dynamic features such as joint angles are extracted from the video sequences. The novelty of this paper lies in the extraction of static and dynamic features and …feature fusion methodologies, which involves model-based parameters. The static features are measured from the distance function and the dynamic features such as joint angles are extracted from the transformation matrix. The fusion of both features forms a final feature vector for every person to reveal the identity of person irrespectively based on various factors such as occlusion state: static and dynamic occlusion, normal, fast and slow walking speeds and different clothing. The system has been analyzed using CMU motion capture dataset, TUMIIT KGP database and real time videos for person identification by various factors. This smart system can be used in apartments to identify the entry of unauthorized people and to avoid theft and burglary cases. Show more

Keywords: Biometrics, gait recognition, gait features, feature fusion, intelligent systems

DOI: 10.3233/JIFS-181210

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 3, pp. 2511-2525, 2019

Authors: Amarnath, R. | Sindhushree, G.S. | Nagabhushan, P. | Javed, Mohammed

Article Type: Research Article

Abstract:  A table is a compact, effective and structured way of representing information in any document. Automatic localization of tables in scanned handwritten document images, and extracting the information are very critical and challenging task for applications like Optical Character Recognition, handwriting analysis, and auto-evaluation systems. The same task becomes more complex, when the handwritten document images are acquired through handheld mobile-cameras, because the captured images naturally get distorted due to poor illumination, device vibration, camera-angle, camera-orientation, camera-movement, and camera-distance. In this research article, a novel technique of automatic localization and segmentation of tables in handwritten document images which are captured …using a handheld mobile-camera is proposed. Generally, ruling lines are used for structuring tables, sketching figures, and scribing scientific equations. In the current research work, tables are detected and extracted based on edge features of the ruling lines subjected to three main stages. Firstly, block– wise mean-computed fuzzy based binarization technique is proposed for analyzing the distortion in the acquired image, and subsequently the background surface that envelops the document area of the image is removed. Secondly, horizontal and vertical granule or strip-based technique is proposed for fast edge-feature extraction from the ruling lines of the table in the binarized image. Finally, entropy quantifiers are employed for segmenting the table in the image. The performance of the proposed technique is evaluated and reported using the proposed composite handwritten benchmark daset. Linear computational benefit 0 (h  × w ) is observed in the worst-case tolerance. Show more

Keywords: Handwritten document images, mobile-cameras, block– wise mean-computed fuzzy based binarization, fast edge-feature extraction, localizing the table

DOI: 10.3233/JIFS-181242

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 3, pp. 2527-2544, 2019

Authors: Ma, Li | Cong, Xuhui

Article Type: Research Article

Abstract: To solve the problem of Social Stability Risk (SSR) assessment for Not In My Back Yard (NIMBY) major projects, first, we established an SSR assessment index system in terms of legality, rationality, feasibility, and controllability. Then, we used the cloud model to determine the value of SSR assessment indicator and the Ordered Weighted Averaging (OWA) operator to weight SSR indicators. Finally, the SSR levels of NIMBY major projects were measured by the matter-element model. The case study shows that the SSR indicator system and assessment model developed in this work can assess the SSR of NIMBY major projects and provide …a reference for the investment decisions of government departments. Show more

Keywords: NIMBY, major projects, social stability risk, assessment

DOI: 10.3233/JIFS-181259

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 3, pp. 2545-2556, 2019