Journal of Intelligent & Fuzzy Systems - Volume 39, issue 2

Authors: Tripathy, Ramamani | Nayak, Rudra Kalyan | Das, Priti | Mishra, Debahuti

Article Type: Research Article

Abstract: Over the years protein interaction and prediction of membrane protein have been a pivotal research area for all researchers. For both prokaryotes and eukaryotes Adenosine Triphosphate-(ATP) binding cassette (ABC) genes plays a significant role. In our analysis, we concentrate on human part of ABC genes. In case of living organisms transport of precise molecules across lipid membranes has been treated as vital part and for that reason a bigger transporter is required to carry out the molecules. Here ABC transporter families are evolved to transport the specific molecules such as sugars, amino acid, peptides, proteins, ions etc. within the plasma …membrane. As we know another important component of human being is cholesterol, which is a major component in cell membrane and its main functions are to maintain integrity and mechanical stability. Each and every time, membrane cholesterolsareinteracted with membrane protein in both N-C terminuses and target valid sequence(s) which has relevance in human diseases. In this manuscript we have applied Fuzzy C-Means (FCM) with Support Vector Machine (SVM) algorithm for prediction of cellular cholesterol with ABC genes. Our experiments have been performed well using ABCdata set. Show more

Keywords: ABC transporter, FCM, SVM, Prokaryotes/ Eukaryotes, CRAC/CARC

DOI: 10.3233/JIFS-179934

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 2, pp. 1611-1618, 2020

Authors: Zong, Yongsheng | Huang, Guoyan

Article Type: Research Article

Abstract: For the unsupervised learning based clustering algorithm, the intrusion detection rate is low, and the training sample based on supervised learning clustering algorithm is insufficient. A semi-supervised kernel fuzzy C-means clustering algorithm based on artificial fish swarm optimization (AFSA-KFCM) is proposed. Firstly, the kernel function is used to change the distance function in the traditional semi-supervised fuzzy C-means clustering algorithm to define a new objective function, thus improving the probabilistic constraints of the fuzzy C-means algorithm. Then, the artificial fish swarm algorithm with strong global optimization ability is used to improve the KFCM sensitivity to the initial cluster center and …easy to fall into the local extremum, thus improving the convergence speed and improving the classification effect. The test results in the Wine and IRIS public datasets show that the AFSA-KFCM clustering algorithm is superior to the traditional algorithm in clustering accuracy and time efficiency. At the same time, the experimental results in KDDCUP99 experimental data show that the algorithm can obtain the ideal detection rate and false detection rate in intrusion detection. Show more

Keywords: Network intrusion detection, semi-supervised learning, fuzzy C-means clustering, kernel function, artificial fish population optimization

DOI: 10.3233/JIFS-179935

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 2, pp. 1619-1626, 2020

Authors: Su, Bo | Yang, Qingyue | Yang, Jinlong | Zhang, Manjun

Article Type: Research Article

Abstract: In order to overcome the problems of long encrypting time, low information availability, low information integrity and low encrypting efficiency when using the current method to encrypt the communication information in the network without constructing the sequence of communication information. This paper proposes a network communication information encryption algorithm based on binary logistic regression, analyses the development of computer architecture, builds a network communication model, layers the main body of information exchange, and realizes the information synchronization of device objects at all levels. Based on the binary Logistic regression model, network communication information sequence is generated, and the fusion tree …is constructed by network communication information sequence. The network communication information is encrypted through system initialization stage, data preparation stage, data fusion stage and data validation stage. The experimental results show that the information availability of the proposed algorithm is high, and the maximum usability can reach 97.7%. The encryption efficiency is high, and the shortest encryption time is only 1.9 s, which fully shows that the proposed algorithm has high encryption performance. Show more

Keywords: Binary logistic regression, network communication, information encryption, information integrity

DOI: 10.3233/JIFS-179936

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 2, pp. 1627-1637, 2020

Authors: Wang, Peng | Zhang, Ningchao

Article Type: Research Article

Abstract: In order to overcome the problems of poor accuracy and high complexity of current classification algorithm for non-equilibrium data set, this paper proposes a decision tree classification algorithm for non-equilibrium data set based on random forest. Wavelet packet decomposition is used to denoise non-equilibrium data, and SNM algorithm and RFID are combined to remove redundant data from data sets. Based on the results of data processing, the non-equilibrium data sets are classified by random forest method. According to Bootstrap resampling method with certain constraints, the majority and minority samples of each sample subset are sampled, CART is used to train …the data set, and a decision tree is constructed. Obtain the final classification results by voting on the CART decision tree classification. Experimental results show that the proposed algorithm has the characteristics of high classification accuracy and low complexity, and it is a feasible classification algorithm for non-equilibrium data set. Show more

Keywords: Random forest, non-equilibrium data set, decision tree, classification, SNM algorithm, RFID

DOI: 10.3233/JIFS-179937

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 2, pp. 1639-1648, 2020

Authors: Hu, Haiyan | Su, Chang

Article Type: Research Article

Abstract: In order to overcome the problems of invulnerability and low communication efficiency when analyzing network communication instability with current methods, this paper proposes a modeling method of network communication instability based on K-means algorithm. The network element nodes are generated by clustering idea, and the initial communication topology is constructed. K-means algorithm is used to optimize the initial communication model, build a comprehensive mathematical model of network communication, and solve the model to realize the optimization of communication model. The network efficiency function is used to further quantify the network invulnerability, and the function is used to find the most …vulnerable nodes in the network, and strengthen them to achieve efficient control of network invulnerability. The experimental results show that the model has strong invulnerability, up to 99.9%, high communication efficiency and coverage, and the maximum communication delay is only 0.35 s. It is a feasible network communication model. Show more

Keywords: K-means algorithm, network communication, Instability, modeling

DOI: 10.3233/JIFS-179938

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 2, pp. 1649-1658, 2020

Authors: Xiao, Wenbin | Zhu, Shunying | Chen, Qiucheng

Article Type: Research Article

Abstract: In order to overcome the inaccuracy of current research results of traffic flow prediction, this paper proposes a prediction method for traffic flow with small time granularity at intersection based on probability network. This method takes one minute as time granularity, collects traffic data such as cross-section flow, section traffic flow velocity data, traffic density, road occupancy, section delay and steering ratio by using RFID technology, and analyzes and processes the data. By introducing Bayesian network in probabilistic network and combining K-nearest neighbor method, historical data and predicted traffic flow state are classified to realize the prediction of traffic flow …with small time granularity at intersections. The experimental results show that this method has high prediction accuracy and reliability, and is a feasible traffic flow prediction method. Show more

Keywords: Probabilistic network, intersection, small time granularity, traffic flow prediction, bayesian network

DOI: 10.3233/JIFS-179939

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 2, pp. 1659-1670, 2020

Authors: Danqing, Liang | Ming, Jin | Li, Li

Article Type: Research Article

Abstract: Social media is becoming more and more closely related to the real life. More and more netizens choose to obtain news and publish notice through social networks. Such huge amount of social media information generated by these users contains a lot of information related to hot topics and events. At the same time, problem of information overload has posed a challenge for people to use the information. It has become an important research issue to discover and track hot events and topics automatically from mass social media data. On the one hand, the short, highly noisy and real-time features of …the social media data bring challenges to the discovery and tracking methods of traditional hot issues. On the other hand, the social media data contains abundant information of geography, time, and social relations, which brings great convenience to relevant researches. Based on these features of the social media data, this paper makes a deep study on the discovery, extraction, and tracking of hot issues in the social media based on fuzzy system theory and the word vector semantic clustering. Show more

Keywords: Word vector, semantic clustering, binary system, fuzzy system theory, hot issue detection

DOI: 10.3233/JIFS-179940

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 2, pp. 1671-1677, 2020

Authors: Liangliang, Zhou

Article Type: Research Article

Abstract: On the basis of FHWA model of the Federal Highway Administration and the combination with the geographic information system (GIS) and Fuzzy intelligent control system, the group independently researches and develops a simulation and evaluation system for the traffic noise in the urban road. This system is able to simulate the influence of traffic source, point source, and arbitrary shape area source on the urban sound field environment. It is combined with the noise radiation and the communication model, and the occlusion and attenuation by the buildings and forest belts on the traffic noise have been considered. It can calculate …the traffic noise in urban areas and directly render the predicted results on the GIS map, and form a traffic noise map, which visually and clearly displays the pollution degree and distribution map of the traffic noise in urban areas. The noise maps of Guangzhou inner ring roads and Zhujiang New Town are drawn to provide scientific decision-making basis for the control of urban traffic noise pollution. Show more

Keywords: GIS system, anti-noise, urban expansion, spatial-temporal dynamic simulation, fuzzy intelligent control system

DOI: 10.3233/JIFS-179941

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 2, pp. 1679-1684, 2020

Authors: Chao, Ma | Pan, Young Hwan | Zeng, ChuYao

Article Type: Research Article

Abstract: With the increasing amount of information on the Internet, data storage management tends to be distributed. In distributed storage environment, users pay more and more attention to the timeliness of user interaction experience and the reliability of information interaction. However, the efficiency of users is often limited by the efficiency of data communication between distributed sites. One of the important goals of distributed data management is to improve the efficiency of data transmission and ensure the reliability of data transmission. Block chain technology is one of the emerging technologies supporting the development of management information system; it provides a solution …for the storage, verification, transmission and communication of the distributed data. This paper focuses on solving the problem of block chain data transmission, and studies it from three aspects: improving the efficiency of data communication, ensuring the reliability of transmission, and improving the fairness of service, and different block chain data communication performance optimization strategies are proposed under the constraints of node communication capability, node trust, weight, priority of service request and other influencing factors. Show more

Keywords: Block chain, Communication technology, fuzzy system, intelligent interaction design, data transfer

DOI: 10.3233/JIFS-179942

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 2, pp. 1685-1691, 2020

Authors: Lili, Dai | Lei, Shi | Gang, Xie

Article Type: Research Article

Abstract: With the rise of the network society, as the mapping Internet space, the public opinion has become the most active way of expressing social public opinion. It gradually gets deeply involved in the development and change of various social phenomena, social problems and social events, and evolves into the real politics and public management. In this context, it is of great practical significance to explore the evolution process and laws of online public opinions and systematically analyze the influence mechanism in the evolution process of online public opinions. This paper comprehensively uses the modeling simulation, empirical analysis, fuzzy systems and …other research methods, adopts the reasonable abstraction of the main behavior characteristics, behavior motives and network relations of network users, and then constructs the evolution model of network public opinion in the complex social network. Besides, from the new research perspective of network members and network relations of the dynamic interaction between the government, media and netizen, this paper makes an in-depth study on the influence mechanism of the dynamic evolution of online public opinion. Show more

Keywords: Local similarity, clustering, complex networks, information public opinion, based Intelligent fuzzy system

DOI: 10.3233/JIFS-179943

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 2, pp. 1693-1700, 2020