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Authors: Yang, Lei | Gao, Ge

Article Type: Research Article

Abstract: As China’s economic and social development enters a new stage, the role of innovation and entrepreneurship is becoming increasingly prominent, and its importance is also being emphasized. As the main force for future employment and national economic construction, college students naturally become the new force for innovation and entrepreneurship. Therefore, it is imperative for universities to carry out in-depth innovation and entrepreneurship education (IEE) for college students. Then, with the continuous development of social development needs and the professional growth needs of college students, the “innovation and entrepreneurship” education for college students should also be adjusted in a timely manner …in terms of educational concepts, models, and methods. The IEE environment evaluation in universities under the background of “ Double Innovation” is looked as multiple attribute decision-making (MADM). In this paper, the information entropy model is employed to calculate the objective weight of the evaluation attribute. Then, interval-valued intuitionistic fuzzy Combined Compromise Solution (IVIF-CoCoSo) is built based on the Hamming distance and Euclid distance to cope with MADM under interval-valued intuitionistic fuzzy sets (IVIFSs). The new MADM method is proposed for IEE environment evaluation in universities under the background of “ Double Innovation”. Finally, the IVIF-CoCoSo approach is compared with existing methods to verify the effectiveness of IVIF-CoCoSo algorithm. The main contributions of this constructed paper are: (1) the IVIF-CoCoSo method is built based on the Hamming distance and Euclid distance. (2) the information entropy model is employed to calculate the objective weight of the evaluation attribute. (3) The new MADM method is proposed for IEE environment evaluation in universities under the background of “ Double Innovation” based on IVIF-CoCoSo. (4) The IVIF-CoCoSo model is compared with existing methods to verify the effectiveness of the IVIF-CoCoSo algorithm. Show more

Keywords: Multi-attribute decision making (MADM), interval-valued intuitionistic fuzzy sets (IVIFSs), IVIF-CoCoSo method, information entropy method; IEE environment

DOI: 10.3233/JIFS-232151

Citation: Journal of Intelligent & Fuzzy Systems, vol. 45, no. 6, pp. 11189-11201, 2023

Authors: Wu, Jue | Yang, Lei | Li, Tianrui | Zhang, Changjiang | Li, Zhihui

Article Type: Research Article

Abstract: Fuzzy rule-based classification systems have been used extensively in data mining. This paper proposes a fuzzy rule-based classification algorithm based on a quantum ant optimization algorithm. A method of generating the hierarchical rules with different granularity hybridization is used to generate the initial rule set. This method can obtain an original rule set with a smaller number of rules. The modified quantum ant optimization algorithm is used to generate the optimal individual. Compared to other similar algorithms, the algorithm proposed in this paper demonstrates higher classification accuracy and a higher convergence rate. The algorithm is proved to be convergent on …theory. Some experiments have been conducted on the algorithm, and the results proved that the algorithm is feasible. Show more

Keywords: Rule-based, fuzzy classification, quantum ant optimization

DOI: 10.3233/IFS-151935

Citation: Journal of Intelligent & Fuzzy Systems, vol. 29, no. 6, pp. 2365-2371, 2015

Authors: Lai, Ying-Xin | Yang, Lei | Zhang, Shi-Chang

Article Type: Research Article

Abstract: By making use of coupled-wave theory, the transmission characteristics of a defected coaxial Bragg structure which operates in the vicinity of 100 GHz are investigated. Results reveal that the overmoded operation of the example structure excites serious interaction among the operating mode and its neighboring modes, which spoils the passband structure and causes hybrid-mode transmission. However, single-mode output can be ensured by applying Hamming-window-function distribution to the ripple amplitude of the example structure, and one or more desired narrow passbands can be generated and controlled by adjusting the localized ripple defect or/and the initial phase difference between the outer-wall and …the inner-rod ripples. These peculiarities provide potential applications of defected coaxial Bragg waveguides in constructing high-Q open resonators and narrow passband filters in the sub-terahertz and terahertz frequency ranges. Show more

Keywords: Coaxial Bragg structure, localized defect, transmission, passband, mode interaction

DOI: 10.3233/JAE-121604

Citation: International Journal of Applied Electromagnetics and Mechanics, vol. 41, no. 2, pp. 199-206, 2013

Authors: Fu, Chao | Qin, Keyun | Yang, Lei | Hu, Qian

Article Type: Research Article

Abstract: Covering rough sets have been successfully applied to decision analysis because of the strong representing capability for uncertain information. As a research hotspot in decision analysis, hesitant fuzzy multi-attribute decision-making (HFMADM) has received increasing attention. However, the existing covering rough sets cannot handle hesitant fuzzy information, which limits its application. To tackle this problem, we set forth hesitant fuzzy β-covering rough set models and discuss their application to HFMADM. Specifically, we first construct four types of hesitant fuzzy β-covering ( T , I ) rough set models via hesitant fuzzy logic operators and hesitant fuzzy β-neighborhoods, which can handle hesitant …fuzzy information without requiring any prior knowledge other than the data sets. Then, some intriguing properties of these models and their relationships are also discussed. In addition, we design a new method to deal with HFMADM problems by combining the merits of the proposed models and the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method. In this method, we not only consider the risk preferences of decision-makers, but also present a new hesitant fuzzy similarity measure expressed by hesitant fuzzy elements to measure the degree of closeness between two alternatives. Finally, an enterprise project investment problem is applied to illustrate the feasibility of our proposed method. Meanwhile, the stability and effectiveness of our proposed method are also verified by sensitivity and comparative analyses. Show more

Keywords: Hesitant fuzzy sets, covering rough sets, hesitant fuzzy logic operators, hesitant fuzzy β-covering, multi-attribute decision-making

DOI: 10.3233/JIFS-223842

Citation: Journal of Intelligent & Fuzzy Systems, vol. 44, no. 6, pp. 10005-10025, 2023

Authors: Deng, Licheng | Yang, Lei | Xue, Zhicheng | Ren, Qingying | Wang, Debo

Article Type: Research Article

Abstract: An omnidirectional acoustic energy harvester (AEH) based on six Helmholtz resonators is proposed in this work. Compared with the previous structure, the insufficiency of the directionality and conversion efficiency of energy collection can be effectively improved due to the coupling of six resonators. Based on the distributed parameter model, the relationship of the electrical output, the input frequency with the structure size is obtained. The simulation results show that the maximum output voltage is 70.95 mV at the resonant frequency of 35 kHz. When the external load resistance is 14 kΩ, the maximum output power is 0.45 μW. Moreover, the energy conversion efficiency of …this omnidirectional AEH can reach 23%, which is improved greatly compared with the traditional structure. Therefore, this AEH will have a wide range of application prospects in medical implantation equipment and other fields. Show more

Keywords: AEH, Helmholtz resonators, the output power, conversion efficiency

DOI: 10.3233/JAE-210076

Citation: International Journal of Applied Electromagnetics and Mechanics, vol. 67, no. 4, pp. 473-485, 2021

Authors: Mao, Jin | Yang, Lei | Liu, Kai | Du, Jinfu | Cui, Yahui

Article Type: Research Article

Abstract: In the following process, in order to improve the driving safety and road utilization of the adaptive cruise control (ACC) system, a variable time headway spacing strategy was studied. In view of the fact that the variable spacing strategy cannot adapt to the complex and variable deceleration conditions, an improved variable time headway strategy is proposed, which changes with the deceleration time and deceleration of the preceding vehicle. Based on this, the upper controller of adaptive cruise control based on model predictive control is designed, and numerical simulation of the variable time headway spacing strategy is performed, which verifies the …effectiveness of the improved variable time headway strategy. The results show that the spacing strategy proposed in this paper can more smoothly keep up with the preceding vehicle, and improve driving safety, comfort and road utilization. Show more

Keywords: Adaptive cruise control, variable time headway, spacing strategy, model predictive control

DOI: 10.3233/JIFS-202107

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 1, pp. 1471-1479, 2021

Authors: Li, Jian-qiang | Zhang, Shen-peng | Yang, Lei | Fu, Xiang-hua | Ming, Zhong | Feng, Gang

Article Type: Research Article

Abstract: RFID technology has been widely used for object tracking in indoor environment due to their low cost and convenience for deployment. Existing RFID localization approaches rely on signal strength to measure the distance between RFID reader and tags. However, because of the environmental complexity and inferences, the measurement of distance by signal strength is not accurate, which causes large error in localization. In this paper we develop a novel algorithm to improve the RFID localization accuracy. Our algorithm is based on particle swarm optimization. More importantly, we add reference tags in the deployment, and design a parameter named Correction Factor …in PSO to measure the distances more accurately by signal strength. The result shows that compared with the previous method without the correction factor, our proposed approach can increase the accuracy by 50%. This method has good application prospect in equipment management. Show more

Keywords: Indoor location, reference tags, correction factor, PSO

DOI: 10.3233/JIFS-169109

Citation: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 5, pp. 2697-2706, 2016

Authors: Bai, Keqiang | Luo, Minzhou | Li, Tao | Wu, Jue | Yang, Lei | Liu, Manlu | Jiang, Guanwu

Article Type: Research Article

Abstract: This paper proposes a new controller based on the torque compensation method for the control of a 7-DOF dual-arm of a humanoid robot with input saturation residual vibration of the end-effector. Through theoretical and experimental analysis, an adaptive fuzzy backstepping control strategy was designed for the 7-DOF dual-arm control system. This strategy can be used to suppress the time-varying nonlinear residual vibration of the end-effector caused by inertia variations in the serial robot. Firstly, a boundary feedback controller was designed to asymptotically stabilize the closed-loop system based on the C 0 -semigroup theory, which also proves the efficacy of the …closed-loop system solution. Lyapunov stability analysis proved that the closed-loop demonstrated globally asymptotic stability. Secondly, an adaptive fuzzy backstepping method was designed for the dynamic compensator with a tracking filter for the control system of the 7-DOF dual-arm of the humanoid robot. The primary difference between this new method and conventional methods is that the new method does not require complex computation. In addition, this method improves the limit of computing power and memory space for the controllers. Finally, the effectiveness of the torque compensation strategy and the new method’s ability to suppress the residual vibration are demonstrated via simulation and experiments. Show more

Keywords: Torque compensation, 7-DOF dual-arm of humanoid robot, input saturation, adaptive fuzzy backstepping control

DOI: 10.3233/JIFS-169179

Citation: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 6, pp. 2949-2957, 2016

Authors: Li, Xuanting | Yuan, Junliang | Qin, Wei | Yang, Lei | Yang, Shuna | Li, Yue | Hu, Wenli

Article Type: Research Article

Abstract: Background: Cerebral microbleed (CMB) is an increasingly important risk factor for cognitive impairment due to population aging. Controversies, however, remain regarding the exact association between CMB and cognitive dysfunction. Objective: We aimed to determine the relationship between CMB burden and cognitive impairment, and also explore the characteristics of cognitive decline in CMB patients for middle-aged and elderly people. Methods: The present cross-sectional study included 174 participants (87 CMB patients and 87 controls) who underwent brain magnetic resonance imaging and a battery of neuropsychological test. Global cognitive function was measured using Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA). Compound …z-scores were calculated for three cognitive subdomains: memory, executive function and processing speed. Results: CMB patients had lower scores of MMSE (p  < 0.001) and MoCA (p  < 0.001). Patients at each category of CMB count had worse performance in global cognitive function and all three cognitive subdomains (p  < 0.001). In multiple linear regression models, CMB patients had significantly greater declines in executive function (p  < 0.001), processing speed (p  < 0.001), and MoCA (p  = 0.003) with increasing number of CMB. We found no relationship between CMB location and cognition (p  > 0.05). Conclusion: CMB is associated with impairment in global cognition as well as for all tested subdomains. Strongest effect sizes were seen for tests which rely on executive functioning, where performance deficits increased in proportion to degree of CMB burden. Prospective studies are needed to evaluate whether the association between CMB and executive dysfunction is causal. Show more

Keywords: Cerebral microbleed, cerebral small vessel disease, cognitive impairment, susceptibility weighted imaging

DOI: 10.3233/JAD-201202

Citation: Journal of Alzheimer's Disease, vol. 81, no. 1, pp. 255-262, 2021

Authors: Yang, Cun | Yang, Lei | Gao, Guo-Dong | Zong, Hui-Qian | Gao, Duo

Article Type: Research Article

Abstract: BACKGROUND: Artificial intelligence (AI) technology is a promising diagnostic adjunct in fracture detection. However, few studies describe the improvement of clinicians’ diagnostic accuracy for nasal bone fractures with the aid of AI technology. OBJECTIVE: This study aims to determine the value of the AI model in improving the diagnostic accuracy for nasal bone fractures compared with manual reading. METHODS: A total of 252 consecutive patients who had undergone facial computed tomography (CT) between January 2020 and January 2021 were enrolled in this study. The presence or absence of a nasal bone fracture was determined by two experienced radiologists. An AI …algorithm based on the deep-learning algorithm was engineered, trained and validated to detect fractures on CT images. Twenty readers with various experience were invited to read CT images with or without AI. The accuracy, sensitivity and specificity with the aid of the AI model were calculated by the readers. RESULTS: The deep-learning AI model had 84.78% sensitivity, 86.67% specificity, 0.857 area under the curve (AUC) and a 0.714 Youden index in identifying nasal bone fractures. For all readers, regardless of experience, AI-aided reading had higher sensitivity ([94.00 ± 3.17]% vs [83.52 ± 10.16]%, P < 0.001), specificity ([89.75 ± 6.15]% vs [77.55 ± 11.38]%, P < 0.001) and AUC (0.92 ± 0.04 vs 0.81 ± 0.10, P < 0.001) compared with reading without AI. With the aid of AI, the sensitivity, specificity and AUC were significantly improved in readers with 1–5 years or 6–10 years of experience (all P < 0.05, Table 4 ). For readers with 11–15 years of experience, no evidence suggested that AI could improve sensitivity and AUC (P = 0.124 and 0.152, respectively). CONCLUSION: The AI model might aid less experienced physicians and radiologists in improving their diagnostic performance for the localisation of nasal bone fractures on CT images. Show more

Keywords: Nasal bone fracture, artificial intelligence, sensitivity, specificity, deep learning

DOI: 10.3233/THC-220501

Citation: Technology and Health Care, vol. 31, no. 3, pp. 1017-1025, 2023