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The purpose of the Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology is to foster advancements of knowledge and help disseminate results concerning recent applications and case studies in the areas of fuzzy logic, intelligent systems, and web-based applications among working professionals and professionals in education and research, covering a broad cross-section of technical disciplines.
The journal will publish original articles on current and potential applications, case studies, and education in intelligent systems, fuzzy systems, and web-based systems for engineering and other technical fields in science and technology. The journal focuses on the disciplines of computer science, electrical engineering, manufacturing engineering, industrial engineering, chemical engineering, mechanical engineering, civil engineering, engineering management, bioengineering, and biomedical engineering. The scope of the journal also includes developing technologies in mathematics, operations research, technology management, the hard and soft sciences, and technical, social and environmental issues.
Authors: Yang, Ge | Lai, Haijian | Zhou, Qifeng
Article Type: Research Article
Abstract: Aiming at the inconsistency of manual detection of mobile phone screen defects, the image feature extraction of traditional machine learning is often set based on experience, resulting in unsatisfactory detection results. Therefore, a mobile phone screen defect detection model (Ghostbackbone) which is proposed by this paper based on YOLOv5 s and Ghostbottleneck. The bottleneck of Ghostbackbone mainly uses and improves the Ghostbottleneck of GhostNet. The attention module of Ghostbackbone uses Coordinated Attention and Depthwise Separable Convolution for parameter reduction. Finally, Ghostbackbone uses YOLOv5 as the object detector to train the mobile phone screen defect dataset. The experimental results show that the …parameter quantity of Ghostbackbone is 24% of that of YOLOv5 s, the average time of detecting a single picture is only 2% lower than that of YOLOv5 s, and the mAP0.5 : 0.95 is 2% higher than that of MobilenetV3 s. Show more
Keywords: Defect detect, object detect, lightweight network application, GhostNet, deep learning
DOI: 10.3233/JIFS-212896
Citation: Journal of Intelligent & Fuzzy Systems, vol. 43, no. 4, pp. 4335-4349, 2022
Authors: Li, Hao
Article Type: Research Article
Abstract: With the aggravation of many social psychological and psychological stress factors, the high incidence rate of depression and depression has become a major problem which puzzles people’s health and even endangers life. Non drug therapy has become an effective alternative to drug therapy, which is in line with the new trend of natural medicine in the world. This paper will use the real world research method (RWS) to conduct a clinical trial of pop light music in the treatment of depression. Based on the fuzzy algorithm, a comprehensive evaluation system for the treatment of depression was established. By comparing and …analyzing the main efficacy indexes between music group and traditional medicine group, we found that the cure rate, clinical control rate, significant efficiency, effective rate and ineffective rate of music therapy group were significantly better than those of drug group. Through the analysis of seven factors of HAMD (Hamilton Depression Scale) scale, we found that pop light music can improve the sleep status and physical symptoms of patients, and the improvement degree of music therapy is significantly better than that of drug therapy. Show more
Keywords: Cure rate, depression, fuzzy algorithm, HAMD scale, pop light music
DOI: 10.3233/JIFS-213211
Citation: Journal of Intelligent & Fuzzy Systems, vol. 43, no. 4, pp. 4351-4362, 2022
Authors: Velayudhan, Jithin | Narayanan, M.D | Saha, Ashesh | Sikha, O.K.
Article Type: Research Article
Abstract: The synchronization phenomenon in two linearly coupled friction-induced oscillators is analyzed in this paper using a data-driven approach based on dynamic mode decomposition (DMD). The tip mass at the end of a cantilever beam in each of the oscillators is in frictional contact with a rigid rotating disc. The cantilever beams are subjected to base excitation and a linear spring between the tip masses provides the coupling between the two oscillators. The partial differential equation governing the motion of the system is reduced to a set of ordinary differential equations employing the method of modal projection. The qualitative nature of …the coupled oscillations is determined by analyzing the time displacement response, Fast Fourier Transform (FFT), Poincaré map, and the phase plane diagrams. DMD approximates the dynamical system in terms of coherent structures known as spatiotemporal modes. The frequency information is captured in the corresponding spatiotemporal modes. The influence of each frequency component on the whole dynamics of the system is studied by reconstructing the motion of each subsystem using the corresponding spatiotemporal mode. The contribution of a single dynamic mode towards the overall synchronized motion of the coupled system is analyzed by evaluating the linear correlation between those modes. Evaluation of the similarity measures helps to unearth how far each spatial and temporal mode behaves similarly in time. Show more
Keywords: Synchronization, friction-induced oscillators, dynamic mode decomposition, method of modal projection
DOI: 10.3233/JIFS-213248
Citation: Journal of Intelligent & Fuzzy Systems, vol. 43, no. 4, pp. 4363-4378, 2022
Authors: Yu, Xiaobing | Luo, Wenguan | Rao, R.Venkata
Article Type: Research Article
Abstract: Jaya, a simple heuristic algorithm, has shown attractive features, especially parameter-free. However, the simple structure of Jaya algorithm may result in poor performances, to boost the performance, a multi-strategy Jaya (MJaya) algorithm based on multi-population has been proposed in this paper. Three strategies correspond to three groups of solutions. The first strategy based on the first population is to introduce an adaptive weight parameter to the position-updating equation to improve the local search. The second strategy is based on rank-based mutation to enhance the global search. The third strategy is to exploit around the best solution to reinforce the local …search. Three strategies cooperate well during the evolution process. The experimental results based on CEC 2014 have proven that the proposed MJaya is superior compared with Jaya and its latest variants. Then, the proposed MJaya algorithm is used to solve three industrial problems and the results have shown that the proposed MJaya algorithm can also solve complex industrial applications effectively. Show more
Keywords: Jaya algorithm, multi-strategy, optimization, adaptive
DOI: 10.3233/JIFS-213471
Citation: Journal of Intelligent & Fuzzy Systems, vol. 43, no. 4, pp. 4379-4393, 2022
Authors: Albert, Johny Renoald | Selvan, P. | Sivakumar, P. | Rajalakshmi, R.
Article Type: Research Article
Abstract: A proposed hybrid approaches are incorporated in Electric Vehicle (EV) fast charging station (FCS) using (RES). Hybrid approach is improved by Adaptive Hybrid Particle Swarm Optimization (AHPSO) named as AHWPSO, moreover the proposed work Grey Wolf Optimization (GWO) is assist with adaptive hybridize PSO algorithm. Therefore, an overall pricing cost should be reduced maximum Electric Vehicle Charging Station (EVCS) with minimal installation. This simulation work is verified an adaptive time varying weightage parameters to increase the AHWPSO particle diversity factor. Proposed algorithm is incorporated with improve the novelty, and compared the results are recent version of PSO used for EVCS. …Its increase the charging ability, energy loss minimization, voltage deviation reduction, and cost minimization. A distribution micro-grid capacity and demand are tested. Similarly, low to peak period energy variations are controlled by proposed algorithm with reduced capacitor bank. Overall control algorithm code is executed buy MATLAB/Simulink platform, the performance of this work listed, and compare to the existing approaches with achievement of maximum efficiency. Show more
Keywords: Electric vehicle, renewable energy sources, adaptive hybrid PSO, grey wolf optimization, grid
DOI: 10.3233/JIFS-220089
Citation: Journal of Intelligent & Fuzzy Systems, vol. 43, no. 4, pp. 4395-4407, 2022
Authors: Cui, Qianna | Pan, Haiwei | Li, Xiaokun | Zhang, Kejia | Chen, Weipeng
Article Type: Research Article
Abstract: During the last years, object-based image segmentation (OBIA) has seen a considerable increase in the image segmentation. OBIA is generally based on superpixel methods, in which the clustering-based method plays an increasingly important role. Most clustering methods for generating superpixels suffer from inaccurate classification points with inappropriate cluster centers. To solve the problem, we propose a competitive mechanism-based superpixel generation (CMSuG) method, which both accelerates convergence and promotes robustness for noise sensitivity. Then, image segmentation results will be obtained by a region adjacent graph (RAG)-based merging algorithm after constructing an RAG. However, high segmentation accuracy is customarily accompanied by expensive …time-consuming costs. To improve computational efficiency, we address a parallel CMSuG algorithm, the time of which is much less than the CMSuG method. In addition, we present a parallel RAG method to decrease the expensive time-consuming cost in serial RAG construction. By leveraging parallel techniques, the running time of the whole image segmentation method decline with the time complexity from O (N ) + O (K 2 ) to O (N /K ) or O (K 2 ), in which N is the size of an input image and K is the given number of the superpixel. In the experiments, both nature image and remote sensing image segmentation results demonstrate that our CMSuG method outperforms the state-of-the-art superpixel generation methods, and then performs well for image segmentation in turn. Compared with the serial segmentation method, our parallel techniques gain more than four times acceleration in both remote sensing image dataset and nature image dataset. Show more
Keywords: Superpixels, competitive mechanism, image segmentation, parallel, graph-based
DOI: 10.3233/JIFS-212967
Citation: Journal of Intelligent & Fuzzy Systems, vol. 43, no. 4, pp. 4409-4430, 2022
Authors: Senthilkumar, T. | Kumarganesh, S. | Sivakumar, P. | Periyarselvam, K.
Article Type: Research Article
Abstract: Alzheimer’s disease (A.D.) is the most widespread type of Dementia, and it is not a curable neurodegenerative disease that affects millions of older people. Researchers were able to use their understanding of Alzheimer’s disease risk variables to develop enrichment processes for longitudinal imaging studies. Using this method, they reduced their sample size and study time. This paper describes the primitive detective of Alzheimer’s diseases using Neuroimaging techniques. Several preprocessing methods were used to ensure that the dataset was ready for subsequent feature extraction and categorization. The noise was reduced by converting and averaging many scan frames from real to DCT …space. Both sides of the averaged image were filtered and combined into a single shot after being converted to real space. InceptionV3 and DenseNet201 are two pre-trained models used in the suggested model. The PCA approach was used to select the traits, and the resulting explained variance ratio was 0.99The Simons Foundation Autism Research Initiative (SFARI)—Simon’s Simplex Collection (SSC)—and UCI machine learning datasets showed that our method is faster and more successful at identifying complete long-risk patterns when compared to existing methods. Show more
Keywords: Alzheimer’s disease, machine learning, SVM, neuroimaging techniques, MRI
DOI: 10.3233/JIFS-220628
Citation: Journal of Intelligent & Fuzzy Systems, vol. 43, no. 4, pp. 4431-4444, 2022
Authors: Vasanthi, G. | Prabakaran, N.
Article Type: Research Article
Abstract: Wireless Sensor Network (WSN) is made up of minimal power devices (or) units spread over geographically separated locations. Sensors are grouped in the form of clusters. Every cluster has a key node known as the Cluster Head (CH). CH gathers sensed information out of its sensor nodes and transmits into a Base Station (BS). Sensors are indeed installed using non-replaceable batteries. WSN is concerned about its energy usage to reduce (or) minimize the consumption of energy as well as increase network lifetime. An improved upgraded technique is presented, which is accomplished by improving appropriate energy balancing in clusters across every …sensor node in order to reduce power dissipation while networking connections. The enhanced technique was built by employing a well-known technique named cluster head selection. Accordingly, the energy consumption of WSN is reduced to prolong the network life cycle other than the network models. Furthermore, an efficient routing CH is optimized by the Average Fitness-based Harris Hawks Optimization (AF-HHO). In the WSN network, this proposed algorithm is used to locate neighbouring nodes with higher energy efficiency measurements. As a result, when compared to other conventional approaches, the simulation results demonstrate superior performance. Through the sink node, an optimal routing path for transferring data packets to neighbouring sensor nodes was discovered. The suggested technique is evaluated using energy consumption, network lifespan, and residual energy performance estimations. Show more
Keywords: Wireless sensor network, energy consumption minimization, average fitness based Harris hawks optimization, optimal cluster head
DOI: 10.3233/JIFS-213252
Citation: Journal of Intelligent & Fuzzy Systems, vol. 43, no. 4, pp. 4445-4456, 2022
Authors: Jin, LeSheng | Yager, Ronald R. | Chen, Zhen-Song | Mesiar, Mesiar | Bustince, Humberto
Article Type: Research Article
Abstract: Motivated by a specific decision-making situation, this work proposes the concept and definition of unsymmetrical basic uncertain information which is a further generalization of basic uncertain information and can model uncertainties in some new decision-making situations. We show that unsymmetrical basic uncertain information in some sense can model linguistic hedges such as “at least” and “at most”. Formative weighted arithmetic means and induced aggregations are defined for the proposed concept. Rules-based decision making and semi-copula based integral for this concept with some numerical examples are also presented.
Keywords: Aggregation operators, basic uncertain information, evaluation, information fusion, integral, uncertainty, unsymmetrical basic uncertain information
DOI: 10.3233/JIFS-220593
Citation: Journal of Intelligent & Fuzzy Systems, vol. 43, no. 4, pp. 4457-4463, 2022
Authors: Zhang, Yiping | Wilker, Kolja
Article Type: Research Article
Abstract: Traditional digital media system can not complete the format conversion and video transcoding of massive image and video information at the same time, which leads to long time of information processing and loss of data storage. Therefore, a digital media system driven by artificial intelligence and big data is designed. Using FastDFS design of digital media data management module. Design digital media image, video conversion module and digital media resource data dictionary library. Develop image plug-ins based on the MapInfo platform. Design video plug-in, introduce virtual reality technology to retrieve image information, call video source, create CvCapture object. Design system …software functions and digital media information acquisition algorithm. Intelligent artificial pixel feature acquisition technology is used to collect 3D visual information of digital media and design its pseudo-code. Compared with the traditional system, the information processing time of the designed system is shorter, and it takes 11.555 ms when there are more information objects. The experimental results show that the designed system can complete more complete storage of data. Show more
Keywords: Digital media, big data, FastDFS, MapInfo platform, intelligent artificial pixel feature acquisition technology
DOI: 10.3233/JIFS-211561
Citation: Journal of Intelligent & Fuzzy Systems, vol. 43, no. 4, pp. 4465-4475, 2022
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