Journal of Intelligent & Fuzzy Systems - Volume 37, issue 3

Authors: Ran, Xiuxia | Hossain, Mahmud

Article Type: Research Article

Abstract: In order to strengthen the training of English writing, this paper proposed a new business English writing training strategy based on some state-of-the-art recommendation algorithm. Firstly, we introduced the development of business English writing briefly, and then we studied how the recommendation algorithm is used to construct the English writing training model for the teachers, which can better assist students in business English writing training and reduce the common mistakes in writing. In this paper, we proposed an optimization and update scheme by the state-of-the-art recommendation algorithms. Furthermore, we designed a useful identification model to evaluate the continuous state of …business English writing. The experimental results show that the coding accuracy of English vocabulary and the efficiency of the model can archive a good performance, which can effectively help students to write. This model deserves further promotion and application. Show more

Keywords: New media environment, writing skills, problem recommendation algorithm, business English

DOI: 10.3233/JIFS-179148

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 3, pp. 3445-3452, 2019

Authors: Yin, Xinzhen | Dylan, Baker

Article Type: Research Article

Abstract: At present, most of the comparative education research concentrated in the macro education field such as international education, which has a significantly influenced the future education. Under this circumstances, this paper studied the development choices of comparative education in colleges and universities in the era of big data. Firstly, a new recommendation algorithm is proposed based on the characteristics of education big data. The comparative evaluation of the matching mode of colleges and universities is studied. Subsequently, we designed a new corresponding differential classification teaching mode on the basis of the naive Bayesian algorithm of comparative education in colleges and …universities. At last, we designed a set of experiments to evaluate the proposed classification system. By comparing the development of comparative education platforms in colleges and universities, the optimal utilization combination of colleges and universities in the era of big data is realized to select the best development direction. Show more

Keywords: Big data, colleges and universities, comparative education, development choice

DOI: 10.3233/JIFS-179149

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 3, pp. 3453-3460, 2019

Authors: Sang, Zhongqing | Zhang, Rencheng

Article Type: Research Article

Abstract: Focused on the security of switchgear, this paper presented a complete set of an online detection system for the temperature rise of switchgear based on branch definition algorithm. This paper analyzed the characteristics of the temperature rise of the low-voltage circuit breaker terminal, and then proposed a new temperature rise model of the terminal through the thermal network method. In this paper, the influence factors of the temperature rise of the terminal analyzed through the test data, and the temperature rise curve also fitted by using the least squares method. The range of temperature rise time constants for the 100A …low-voltage circuit breaker terminal obtained, and the method of quickly deriving the steady temperature rise of the low-voltage circuit breaker terminal discussed. The simulation results show that the optimization of the algorithm can provide a scientific evaluation method and improved strategy for the on-line detection of temperature rise of complete switchgear. Show more

Keywords: Branch definition algorithm, switch equipment, temperature rise

DOI: 10.3233/JIFS-179150

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 3, pp. 3461-3468, 2019

Authors: Ma, Jun | Yu, Hongzhi | Wang, Ding | Pu, Cuocairen | Singh, Amit Kumar

Article Type: Research Article

Abstract: “The preservation of endangered ethnic minority languages” and “application of ethnic minority languages” have become an important research direction and topic for the ethnic minority language researchers. Based on the previous studies, the combined quantitative and qualitative analysis was made to carry out a systematic study on vowels and consonants in the Salar language, especially the strong vowels, weak vowels, voiceless consonants, and voiced consonants, in order to create the “Salar Acoustical Phonetics Parameter Database”. According to the relevant norms, the segmentation, labeling, parameters extraction and database creation were conducted against the collected signals, and the experimental research on the …Salar phonetics was implemented by making a comprehensive statistical analysis of the database. Through the study of Salar phonetics based on the Salar Acoustical Phonetics Parameter Database, it not only provides basic parameters of acoustic physiology for preservation and research of Salar language, but also provides the basic data for the future Salar acoustical corpus construction, speech recognition and speech synthesis, and provides a practical theoretical basis for the acoustical research of the national language project under construction. Show more

Keywords: Salar language, voice acoustic, parameters database

DOI: 10.3233/JIFS-179151

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 3, pp. 3469-3476, 2019

Authors: Yang, Ping-Yu | Chou, Li-Chen | Wang, Zhan-Ao

Article Type: Research Article

Abstract: Using Taiwan’s Manpower Utilization Survey from 2012–2014, this paper investigates the impacts that salary variation caused by insufficient information, then evaluates the condition of information holding between the employee and the employer. The results indicate that the ignorance of employee and employer are deeper in the private sector than that in the public sector; the employees and employer ignorance with the white-collar both larger than the blue-collar. Besides, the results demonstrate insignificantly effect in both ignorance estimation in the public sector, which may reflect the labors enter to the public sector mainly through national examination and cause the insignificant estimation.

Keywords: Taiwan, employee relations, information processing

DOI: 10.3233/JIFS-179152

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 3, pp. 3477-3487, 2019

Authors: Li, Yingwei | Yang, Yuntong | Ma, Shaoqing | Li, Lei | Wang, Yanjun | Liu, Xingbin | Xie, Ronghua

Article Type: Research Article

Abstract:  The development of Daqing Oilfield in China has entered the middle and late stages of high water cut. At this time, oil-water two-phase flow is ubiquitous, and its flow rate is very difficult to measure accurately. Addressing this issue, the measurement model and simulation model of electromagnetic flow transducer (EFT) with saddle excitation structure is designed in this paper. Then the distribution characteristics of magnetic flux density of different excitation structures are analyzed by finite element simulation. Furthermore, the prediction model between the parameters of different excitation structures and the performance evaluation indexes is established based on RBF neural network. …Through normalization and weight assignment on the output of neural network model, the structure optimization factor is constructed. Then the optimum solution of this factor is gotten, and the optimum parameters of EFT’s excitation structure are obtained. In addition, an EFT with the optimum structure is developed and tested in Daqing oilfield, and the experiment results show that the EFT has high precision, especially in the high viscosity wells. Show more

Keywords: Oil-water two-phase flow, electromagnetic flow transducer, finite element simulation, RBF neural network

DOI: 10.3233/JIFS-179153

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 3, pp. 3489-3498, 2019

Authors: Li, Xiaoyun | Fan, Ruiqin | Zhang, Hao Lan | Li, Tongliang | Pang, Chaoyi

Article Type: Research Article

Abstract: Wavelet synopses with maximum error bound is an effective quality-guaranteed compression method that restricts the approximation error of each data does not exceed a given error bound. In this paper, we focus on the study of constructing efficient two-dimensional wavelet synopses with maximum error bound. First, we propose a linear-time two-dimensional F-shift algorithm (TDFS), then present a general parallel framework for two-dimensional data array and generate a parallel two-dimensional F-shift algorithm (PTDFS). We have proven that the size of a synopsis constructed from PTDFS is always no larger than that of the existing methods and can reduce up to 66.7% …at most. The experimental results indicate that the synopsis sizes can be reduced from 40% to 60% in most situations. Moreover, PTDFS can not only improve the quality of reconstruction image, but also reduce the running time. Show more

Keywords: Wavelet synopses, parallel, error bound, data compression

DOI: 10.3233/JIFS-179154

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 3, pp. 3499-3511, 2019

Authors: Libo, Zhou | Tian, Huang | Chunyun, Guan | Elhoseny, Mohamed

Article Type: Research Article

Abstract: A fundamental problem facing deep neural networks is that they require a large amount of data to keep the system efficient in complex applications. Promising results of this problem are made possible by using techniques such as data enhancement or transfer learning in large data sets. However, when the application provides limited or unbalanced data, the problem persists. In addition, the number of false positives generated by deep model training has a significant negative impact on system performance. This study aims to solve the problem of false positives and class imbalances by implementing an improved filter library framework for Cole …pest identification. The system consists of three main units: First, the primary diagnostic unit (boundary box generator) generates a bounding box containing the location of the infected area and class. Then, the promising box belonging to each category is used as an input to the secondary diagnostic unit (CNN filter bank) for verification. In the second unit, the misclassified samples are filtered by training for each category of independent CNN classifiers. The result of the CNN filter bank is to determine if a target belongs to the category because it is detected (true) or no (false), otherwise. Finally, an integrated unit combines the information of the autonomous unit and the secondary unit in the future while maintaining a true positive sample and eliminating false positives of misclassification in the first unit. By this implementation, the recognition rate of this method is about 96%, which is 13% higher than our previous work in the complex task of Cole disease and pest identification. In addition, our system is able to handle false positives generated by bounding box generators and class imbalances that occur on data sets with limited data. Show more

Keywords: Plant diseases, detection, deep neural networks, filter banks, false positives

DOI: 10.3233/JIFS-179155

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 3, pp. 3513-3524, 2019

Authors: Liu, Zimei | Xie, Yi | Zhang, Hao

Article Type: Research Article

Abstract:  Stampede accidents with serious injuries occur from time to time on escalators. Field observation was conducted on four typical passenger behaviors during taking escalators, namely, walking behavior, subgroup behavior, overtaking behavior and waiting behavior. The effect of behavior characteristics on passenger safety was analyzed according to the observation data. Several scenarios were simulated to quantitatively study the impact of passenger behaviors on crowd stampede risk under different situations. The results show that: (1) the presence of subgroup behavior and overtaking behavior increases the crowd stampede risk by increasing the crowd density and the degree of congestion on the connection plane; …(2) the walking behavior reduces the crowd density; (3) the “walk left, stand right” rule decreases the evacuation efficiency; (4) waiting behavior of passengers on the connection plane significantly increases the crowd stampede risk. Management measures were proposed to promote the passenger safety and reduce the stampede injury on escalators. Show more

Keywords: Passenger safety, crowd stampede risk, passenger behavior, escalator, simulation

DOI: 10.3233/JIFS-179156

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 3, pp. 3525-3533, 2019

Authors: Heda, Zhang

Article Type: Research Article

Abstract: Machinery and equipment are widely used in modern large-scale production, while industrial large-scale production and the progress of science and technology make machinery and equipment more complex and large-scale. Traditional mechanical diagnosis technology cannot meet the actual diagnosis requirements. The residual life of the whole equipment is predicted. This is of great significance for improving the efficiency of equipment, enhancing reliability, reducing maintenance costs and prolonging service life. The advantages of artificial intelligence in solving the problems of remote control, fault diagnosis and non-linearity point out the direction of the development of mechanical fault diagnosis technology. The research shows that …the fault prediction and maintenance process based on the operating state of the device is summarized into three steps: data acquisition, data processing and equipment remaining life prediction. The comprehensive detection algorithm is used for diagnosis, and the diagnosis method is comprehensively analyzed. The research shows that after optimizing the network parameters through human intelligence, the network convergence speed is obviously accelerated, which can be used as a performance-based pattern recognition system for fault diagnosis of mechanical equipment. Show more

Keywords: Artificial intelligence, machinery and equipment, fault diagnosis

DOI: 10.3233/JIFS-179157

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 3, pp. 3535-3544, 2019