Journal of Intelligent & Fuzzy Systems - Volume 36, issue 2

Authors: Hu, Xiulian | Liu, Dan

Article Type: Research Article

Abstract: The initial crisis early warning index system of the supply chain quality has been built up according to crisis inducement, documentary research and corporate research. Then we evaluated the feasibility, importance, independence of the index system by using experts scoring methodology. The initial crisis early warning index system has been filtered by fuzzy inference system (FIS) and the final crisis early warning index system has been established.

Keywords: Supply chain quality, crisis early warning, early warning index, crisis inducement

DOI: 10.3233/JIFS-169870

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 935-942, 2019

Authors: Li, Chao | Guo, Yu | Xiao, Zhengming | Wu, Xing | Liu, Tao

Article Type: Research Article

Abstract: One of the challenges for the fault feature extraction of a planetary gearbox is that the weak gear fault related vibration feature is often buried by the strong background noise in the gearbox. The minimum entropy deconvolution (MED) method for weak impulsive feature enhancement has been successfully applied to the feature extraction of gears and bearings in fixed-axis gearboxes. However, it is often failed if the result is converged to a single pulse rather than a periodic pulse sequence which corresponding to the gear or the bearing localized fault. In order to address this issue, the multipoint optimal minimum entropy …deconvolution adjusted (MOMEDA) is employed in this paper to extract the vibration feature related to an individual planet gear with tooth-crack fault in a planetary gearbox. The effectiveness and advantages of the method are verified by experiments. Show more

Keywords: Fault feature extraction, minimum entropy deconvolution, multipoint optimal minimum entropy deconvolution adjusted, planetary gearbox, planet gear, tooth-crack fault

DOI: 10.3233/JIFS-169871

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 943-953, 2019

Authors: Anderson, James | Suh, Wonho | Guin, Angshuman | Hunter, Michael | Rodgers, Michael O.

Article Type: Research Article

Abstract: This paper presents a procedure for assigning multiple Level-of-Service (LOS) ratings to travel time data sets containing multiple (composite) distributions. Different LOS modes within a mixed data set, the travel time data were fitted to multiple gamma-type distributions using an Expectation Maximization (EM) iterative process. The EM process was enhanced with a Monte Carlo style method, wherein the EM process was run 100 times with different random starting values and the best fit according to an R-squared value was taken. The number of underlying distributions was determined by fitting 1 to 5 distributions and using the Akaike Information Criterion to …determine which number of fits maximized the information content of the fitted function. The resulting final posterior probabilities were then used to separate the data into their respective distributions. Reported here are the results of applying this procedure to travel time data collected in the Metro Atlanta area. It is believed that this method can provide enhanced LOS information, especially when the data contain multiple overlapping travel time distributions. This multiple LOS rating method is not intended to replace the current method, instead it is being developed as a supplementary tool to provide more detailed LOS information, for example providing a more detailed view that captures the underlying performance of each subgroup in addition to a single aggregate LOS measure. Show more

Keywords: Travel time distribution, expectation maximization iterative process, Monte Carlo simulation

DOI: 10.3233/JIFS-169872

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 955-965, 2019

Authors: Lee, Jae Kang | Kim, Jung Ok | Park, Seong Jin

Article Type: Research Article

Abstract: This study reviewed efficient bridge management using UAVs (Unmanned Arial Vehicles) that have much potential for facility maintenance such as the possibility of regular inspection on inaccessible parts of bridges, easy operation regardless of the operators’ specialty, and economic maintenance. For this study, images were obtained from a UAV and a 3D viewer was created with them for the work efficiency of bridge inspectors, so that the inspectors can see and check inaccessible areas regardless of inspector’s location. It compared various existing inspection methods for problems such as cracks, efflorescence and leakage with the UAV inspection method to analyze the …work efficiency as well as sustainable economic benefit. The main purpose of this study was to figure out whether the proposed inspection using the images from the UAV and 3D viewer can replace the existing inspection methods that cannot be performed easily and analyze the economic benefit of the new method. The study result showed that the UAV image-based bridge maintenance and inspection is possible even though it was found inefficient when images of uneven quality were provided depending on operation of the UAV. Therefore, a UAV operation manual that can help generate images of even quality must be produced. Show more

Keywords: UAV photogrammetry, bridge maintenance and inspection, inspection efficiency, 3D viewer

DOI: 10.3233/JIFS-169873

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 967-983, 2019

Authors: Wen, Bor-Jiunn | Syu, Kai-Chen | Kao, Chia-Hung

Article Type: Research Article

Abstract: In this study, a four-degree of freedom (4-DOF) robot arm uses an innovative two-dimensional vision sensing method to grip a moving target on a moving platform. This study utilizes forward and inverse kinematics to establish a dynamic model of the 4-DOF robot arm. A computer as a controller and a single charge-coupled device (CCD) calculates the two-dimensional vision sensing method and sends commands to an Arduino Uno microcontroller to drive the robot arm. According to simulation results of transient and steady states in MATLAB SimMechanics, the response of the dynamic proportional-fuzzy controller is better than the response of proportional–integral–derivative controller. …To demonstrate a precise control of the point-contact grip, this study utilizes a ping pong ball as a target on a moving platform. Using the dynamic proportional-fuzzy controller based on the two-dimensional vision sensing method, the 4-DOF robot arm can position, grip, and carry a moving ping pong ball to a designated place in three-dimensional space, which breaks through the previous two-dimensional limitation using a single CCD. This breakthrough can reduce the weight and cost of the robot arm. Therefore, this study aims to utilize the technology to grip moving targets on a moving platform for manpower cost reduction in the industry or agriculture domain in the future. Show more

Keywords: Four-degree of freedom robot arm, two-dimensional vision sensing method, forward and inverse kinematics, dynamic proportional-fuzzy controller, two-dimension limitation using a single CCD

DOI: 10.3233/JIFS-169874

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 985-998, 2019

Authors: Johanyák, Zsolt Csaba

Article Type: Research Article

Abstract: Allocating university resources, especially defining the number of necessary student groups and laboratory classes is a hard task without knowing the exact number of students who will enroll in the given courses. This number usually depends on the exam results of the prerequisite courses. However, the planning of the next term has to be done some months before the end of the actual term. This paper presents the creation of a fuzzy model that can predict the student results in case of the Visual Programming course with an acceptable accuracy based on nine input factors describing the relevant history of …the student. The model has a low complexity rule base containing only 28 rules and predicts the exam result using fuzzy rule interpolation based inference. The position of the rule consequent sets as well as the rule weights were tuned by particle swarm optimization. The root mean squared error expressed in percentage of the output range was less than 13% in case of all the training, validation and test datasets, which gives a satisfactory level of information for the planning of the number of student groups and laboratory classes in the next term in case of the next course that follows the examined Visual Programming course. Show more

Keywords: Prediction, exam results, fuzzy rule interpolation, particle swarm optimization

DOI: 10.3233/JIFS-169875

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 999-1008, 2019

Authors: Chang, Yao-Tang | Lin, Yih-Chuan | Wang, Wei-Hsiang

Article Type: Research Article

Abstract:  Regarding the real-time and content adaptation requirements for end-to-end delivery of compressed video codestreams, the proposed wavelength division multiplexing (WDM) system implements cross-layer functionality with video codestream parsing and shuffling for optical wavelength carriers to achieve format-compliant encryption and high computational efficiency. The proposed intelligent shuffling cryptography scheme is controlled by an arrayed waveguide grating (AWG) and an optical switch matrix; it is presented to change the carried optical wavelength of authorized users dynamically; this serves to protect against eavesdropping at the transmitted optical line terminal end. The approximate symmetric decryption is configured with an AWG/electrical switch matrix at the …receiving optical network unit end to de-shuffle the wavelength and retrieve the video datastream in compressed format. In the proposed system, the presented chaos/binary algorithm (i.e., CBmA) generates the shuffling sequences required for implementing random and aperiodic effectiveness. The experimental video application layer results showed that the perceptibility of shuffled videos verifies the content protection ability of the proposed system on the basis of the peak signal-noise ratio degradation and perceptual quality. Show more

Keywords: Intelligent shuffling cryptography, chaos/binary mapping algorithm (CBmA), dynamic AWG/switch matrix, secure video transmission, wavelength division multiplexing-passive optical network (WDM-PON)

DOI: 10.3233/JIFS-169876

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1009-1022, 2019

Authors: Chain, Kai | Kuo, Wen-Chung

Article Type: Research Article

Abstract: In this paper, a novel multisignature scheme based on chaotic maps is proposed. The purpose of multisignatures is to manage the complexities of a document signed by numerous signatories. The chaotic system is an encryption method proposed in recent years that has received widespread attention in the field of cryptography. This paper first examines the methods of multisignatures and chaotic maps, and then proposes a multisignature scheme that was designed using chaotic maps. During the processing of a multisignature scheme, to authenticate the precision of the received document, the signatory must first obtain the signed document, and then utilize the …characteristics of chaotic maps to recover the original document. If the recovered document is meaningful, this indicates that no errors exist in the signature, thus the signatures are valid and the document can be signed. If the recovered document is not sufficiently clear, signing is denied. At present, because no relevant literature exists that has proposed utilizing chaotic maps to establish a multisignature system; this paper aims to develop a novel research method. Show more

Keywords: Cryptography, multisignature, digital signature, chaotic maps

DOI: 10.3233/JIFS-169877

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1023-1032, 2019

Authors: Chen, Yenming J. | Ho, Wen-Hsien

Article Type: Research Article

Abstract: The formation of mycotoxins and potentially allergenic spores associated with fungal growth can cause spoilage of food and animal feed. This study integrated an improved genetic algorithm (IGA) in an adaptive neuro-fuzzy inference system (ANFIS) for predicting the presence of foodborne fungi and modeling their growth. The IGA enhanced the performance of the ANFIS model in predictive microbiology. Based on temperature, pH, and water quantity, the proposed IGA-ANFIS model can accurately predict the maximum specific growth rate of the ascomycetous fungus Monascus ruber . The model uses Gaussian membership functions to minimize the root-mean-square error, which was used as a …performance index. Experiments verified that the prediction accuracy of the proposed IGA-ANFIS model is higher than those of existing neural network models and neural fuzzy network models. Show more

Keywords: Adaptive neuro-fuzzy inference system, genetic algorithm, food mycology

DOI: 10.3233/JIFS-169878

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1033-1039, 2019

Authors: Chen, Pei-Chun | Hsu, Su-Han | Chen, Yenming J. | Ho, Wen-Hsien | Hsu, Chun-Po

Article Type: Research Article

Abstract: This study assesses the possible side effects of various doses of dapagliflozin. Dapagliflozin is a hypoglycemic agent that inhibits sodium-glucose co-transporter-2 (SGLT2) to remove excess glucose from the body through urination. Hence, dapagliflozin increases the risk for urinary tract infection (UTI) compared with other hypoglycemic agents. Clarifying the side effects of dapagliflozin at different doses and whether these effects are influenced by gender or other factors is significant. Through reviewing the literature on dapagliflozin treatment, we performed a meta-analysis of factors affecting UTI. We then determined the correlation of dapagliflozin treatment with UTI from the pooled data. Each dosing, gender …group, or dapagliflozin added to other drugs for diabetes reported a percentage of contracting UTI. Basing on a reference number of pretreatment probability in UTI among patients with diabetes mellitus, we obtained the post-treatment probability in contracting the infection through the meta-analysis. We assessed the risk factors of UTI due to dapagliflozin administration on the basis of the results of odds ratio, regression analysis, and t -test. Considering the add-on-response relation, we recommend that the best add-on hypoglycemic agents to achieve low-risk UTI and control blood glucose are metformin or glimepiride. We also recommend that the best dosage of dapagliflozin is at 1 mg or 2.5 mg. Show more

Keywords: Dapagliflozin, urinary tract infection, risk factor, meta-analysis

DOI: 10.3233/JIFS-169879

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1041-1048, 2019