Journal of Intelligent & Fuzzy Systems - Volume 40, issue 2

Authors: Cui, Yan | Zhang, Lijun | Hou, Yumei | Tian, Ge

Article Type: Research Article

Abstract: At present, there is a certain lag in the construction of the service platform of the smart home pension system in my country, which does not reflect the use characteristics of the elderly. In order to improve the reliability of the smart service system for the elderly, this research builds a smart home care service platform based on machine learning and wireless sensor networks around the state of the elderly’s home life, disease stage, physical state, and intellectual state. Moreover, after comparing the advantages and disadvantages of several wireless sensor communication network technologies and in-depth understanding of communication principles and …network topology, the overall design of the system is proposed. In addition, this study combines the design requirements of the system to optimize and improve the wearable physiological parameter collection system and focuses on the design and implementation of the hardware and software of the physiological parameter collection module in the construction of the new system platform. Finally, this study analyzes the performance of the model in this study through controlled trials. The results of the study show that the platform constructed in this paper is effective. Show more

Keywords: Machine learning, wireless sensor, smart home, pension service

DOI: 10.3233/JIFS-189246

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 2529-2540, 2021

Authors: Huang, Zhaokun | Liu, Guanjun

Article Type: Research Article

Abstract: The fundamental solution to the problems of college students’ employment is to encourage college students to start their own businesses. Only by using entrepreneurship to promote employment can the real solution of China’s higher education employment problems be truly solved. Aiming at the current situation of college students’ entrepreneurship and employment, this paper builds a model system suitable for college students’ employment and entrepreneurship forecast and guidance through artificial intelligence algorithms and fuzzy logic models. The diversity-enhanced employment recommendation system developed in this paper uses the MVC three-tier architecture. Moreover, the diversity-enhanced employment recommendation system designed in this paper provides …two recommendation methods: individual diversity optimization and overall diversity optimization, which takes into account the relationship between students’ personal interests and employment work. In addition, the system uses the basic idea of user-based collaborative filtering. Finally, this paper designs a control experiment to analyze the performance of this research model. The research shows that the entrepreneurship employment forecast and guidance model constructed in this paper has a certain effect. Show more

Keywords: Artificial intelligence, fuzzy logic, college student employment, entrepreneurship, model

DOI: 10.3233/JIFS-189247

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 2541-2552, 2021

Authors: Ran, Li

Article Type: Research Article

Abstract: Government subsidies have an important impact on the development of high-interest technology companies and technological innovation. In order to study the relationship between government investment and the development of high-tech enterprises and technological innovation, based on artificial intelligence and fuzzy neural network, this paper builds an analysis model based on artificial intelligence and fuzzy neural network. According to the operation of each loop, this study designs a scheduling strategy that dynamically allocates network utilization according to the dynamic weight of the loop, and periodically changes the sampling period of the system, so that the system can not only run stably …but also maximize the use of limited bandwidth. The network resource allocation module allocates the available network bandwidth of each control loop according to the dynamic weight of each loop, and the sampling period calculation module calculates a new sampling period based on the allocated network utilization rate. In addition, in this study, the performance of the model constructed in this paper is analyzed through empirical analysis. The results of the study show that the model constructed in this paper is effective. Show more

Keywords: Artificial intelligence, fuzzy algorithm, government subsidies, high-tech, investment

DOI: 10.3233/JIFS-189248

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 2553-2563, 2021

Authors: Ma, Wenjuan | Zhao, Xuesi | Guo, Yuxiu

Article Type: Research Article

Abstract: The application of artificial intelligence and machine learning algorithms in education reform is an inevitable trend of teaching development. In order to improve the teaching intelligence, this paper builds an auxiliary teaching system based on computer artificial intelligence and neural network based on the traditional teaching model. Moreover, in this paper, the optimization strategy is adopted in the TLBO algorithm to reduce the running time of the algorithm, and the extracurricular learning mechanism is introduced to increase the adjustable parameters, which is conducive to the algorithm jumping out of the local optimum. In addition, in this paper, the crowding factor …in the fish school algorithm is used to define the degree or restraint of teachers’ control over students. At the same time, students in the crowded range gather near the teacher, and some students who are difficult to restrain perform the following behavior to follow the top students. Finally, this study builds a model based on actual needs, and designs a control experiment to verify the system performance. The results show that the system constructed in this paper has good performance and can provide a theoretical reference for related research. Show more

Keywords: Computer, artificial intelligence, neural network, education

DOI: 10.3233/JIFS-189249

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 2565-2575, 2021

Authors: Qu, Xiaojuan

Article Type: Research Article

Abstract: Aiming at the actual problems encountered in the specific poverty alleviation work, this article designs a management system specifically designed for poverty alleviation workers to solve poverty alleviation data sharing and online editing and uploading of poverty alleviation logs. Based on the neural network and network characteristics, a system model is constructed, and the application of structural disturbance theory in dynamic networks is studied. Moreover, in this study, the dynamic change information between time-series networks is taken into account for structural disturbances. By combining structural disturbances and local topology, a new similarity measurement method suitable for dynamic networks is proposed. …In addition, this study proposes an algorithm based on evolutionary clustering and density clustering to detect the structure of dynamic communities. Finally, this study compares the proposed method with the classic method in the artificial network and the real network and analyzes the performance of the research model through data analysis. The research results show that the model constructed in this paper has good performance. Show more

Keywords: Neural network, network characteristics, ecological constraints, farmers, poverty alleviation

DOI: 10.3233/JIFS-189250

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 2577-2588, 2021

Authors: Xin, Wu | Daping, Qiu

Article Type: Research Article

Abstract: The inheritance and innovation of ancient architecture decoration art is an important way for the development of the construction industry. The data process of traditional ancient architecture decoration art is relatively backward, which leads to the obvious distortion of the digitalization of ancient architecture decoration art. In order to improve the digital effect of ancient architecture decoration art, based on neural network, this paper combines the image features to construct a neural network-based ancient architecture decoration art data system model, and graphically expresses the static construction mode and dynamic construction process of the architecture group. Based on this, three-dimensional model …reconstruction and scene simulation experiments of architecture groups are realized. In order to verify the performance effect of the system proposed in this paper, it is verified through simulation and performance testing, and data visualization is performed through statistical methods. The result of the study shows that the digitalization effect of the ancient architecture decoration art proposed in this paper is good. Show more

Keywords: Neural network, image features, ancient architecture, decorative arts, system

DOI: 10.3233/JIFS-189251

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 2589-2600, 2021

Authors: Kun, Xu | Wang, Zhiliang | Zhou, Ziang | Qi, Wang

Article Type: Research Article

Abstract: For industrial production, the traditional manual on-site monitoring method is far from meeting production needs, so it is imperative to establish a remote monitoring system for equipment. Based on machine learning algorithms, this paper combines artificial intelligence technology and Internet of Things technology to build an efficient, fast, and accurate industrial equipment monitoring system. Moreover, in view of the characteristics of the diverse types of equipment, scattered layout, and many parameters in the manufacturing equipment as well as the complexity of the high temperature, high pressure, and chemical environment in which the equipment is located, this study designs and implements …a remote monitoring and data analysis system for industrial equipment based on the Internet of Things. In addition, based on the application scenarios of the actual aeronautical weather floating platform test platform, this study combines the platform prototype system to design and implement a set of strong real-time communication test platform based on the Windows operating system. The test results show that the industrial Internet of Things system based on machine learning and artificial intelligence technology constructed in this paper has certain practicality. Show more

Keywords: Machine learning, artificial intelligence, industry, internet of things

DOI: 10.3233/JIFS-189252

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 2601-2611, 2021

Authors: Caiqian, Zhang | Xincheng, Zhang

Article Type: Research Article

Abstract: The existing stand-alone multimedia machines and online multimedia machines in the market have certain deficiencies, so they cannot meet the actual needs. Based on this, this research combines the actual needs to design and implement a multi-media system based on the Internet of Things and cloud service platform. Moreover, through in-depth research on the MQTT protocol, this study proposes a message encryption verification scheme for the MQTT protocol, which can solve the problem of low message security in the Internet of Things communication to a certain extent. In addition, through research on the fusion technology of the Internet of Things …and artificial intelligence, this research designs scheme to provide a LightGBM intelligent prediction module interface, MQTT message middleware, device management system, intelligent prediction and push interface for the cloud platform. Finally, this research completes the design and implementation of the cloud platform and tests the function and performance of the built multimedia system database. The research results show that the multimedia database constructed in this paper has good performance. Show more

Keywords: Internet of things, cloud service platform, multimedia system, database

DOI: 10.3233/JIFS-189253

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 2613-2624, 2021

Authors: Gunjal, Sheetal D. | Raut, Rajeshree D. | Wagh, Abhay

Article Type: Research Article

Abstract: The paper presents integration of Discrete Wavelet Cosine Transform technique and Bacterial Foraging Algorithm (BFO) for the development and optimization of speech coder. It is depicted how by filtering the limited number of high energy components of transformed coefficients with parallel programming can maintain the speech signal quality in coding over wide range of bit rates. The performance of existing and proposed speech coding techniqueattributes such as compression ratio, coding delay, computational complexity and quality of reconstructed speech is examined for multiple bit rates and compared with other existing speech coding techniques in Matlab environment. The result showsimprovement in performancewith …respect to all attributes at the cost of increase in complexity. Show more

Keywords: Speech coder attributes, Discrete Wavelet Cosine Transform, Bacterial Foraging Optimization, Software Defined Radio

DOI: 10.3233/JIFS-189254

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 2625-2635, 2021

Authors: Renjini, G.S. | Deepa, T.

Article Type: Research Article

Abstract: DC-DC converters are widely used in many consumer electronic devices such as computers, medical equipment, battery chargers, cellular phones and many Industrial drives. These electronic devices require different voltage levels which is supplied from battery or some external supply. In multiple battery mission voltage decays as its stored energy is drained and requires large saving space. The switched DC-DC converters overcome these drawbacks and also regulate the output voltage for different power levels efficiently. This paper elaborates the structure of Luo converter with optimized PI controller. Positive Output Elementary Luo Converter (POELC) is designed for boost operation by choosing the …appropriate duty cycle. The PI controller parameters are optimized using Cuckoo and Crow search algorithms. The proposed control methods are investigated for the transient and steady state region. The sensitivity of these controllers to supply load and line disturbances are also studied along with the servo response are presented. The controller incorporates a Luo converter is evaluated in terms of Integral Time Square Error (ITSE) and Integral Time Absolute Error. Dynamic modelling of the power converter is derived by using state space averaging method. The simulation model of the Luo converter with its control circuit is implemented in MATLAB/SIMULINK. Experimental result shows that Cuckoo PI controller has significantly performance improvement in comparison with both the conventional and Crow PI controller. Show more

Keywords: Positive output elementary luo converter (POELC), cuckoo search optimization, crow search optimization, proportional – integral (PI), ziegler nichols (ZN), pade routh approximation

DOI: 10.3233/JIFS-189255

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 2637-2645, 2021