Journal of Intelligent & Fuzzy Systems - Volume 37, issue 5

Authors: Xiurong, Huang | Lei, Xiao | Xiaodong, Tou

Article Type: Research Article

Abstract: Due to the large amount of pollutant discharge, the environmental pollution capacity of the coastal waters of the Yellow Sea and Bohai Sea in China is seriously overloaded, which has caused unacceptable impact on the marine ecological environment. Based on this, this paper is based on the cloud computing model of marine environmental management scientific decision-making evaluation algorithm, constructing a model of complex network dynamic correlation characteristics, and externally describing water bloom. Through the weight parameters in the cloud model, it is effectively applied to the evaluation of marine environmental management science decision support system. According to the complexity characteristics …of cyanobacterial bloom management decision, the cyanobacteria bloom control decision model is inferred, and the intuitionistic fuzzy rough set algorithm is improved. The similarity is calculated, the best matching case is found, and the experts are adjusting to form a governance plan. The research results show that the scientific decision-making evaluation algorithm of marine environment management based on cloud computing model is effective for the verification of marine environmental management science decision support system evaluation system, embedding eutrophication evaluation method and cyanobacteria water bloom governance decision-making method into water quality remote monitoring and cyanobacteria water China’s governance decision-making system, to achieve the decision-making of cyanobacteria bloom control in the lake water body. Show more

Keywords: Cloud computing, ocean, environmental management, scientific decision

DOI: 10.3233/JIFS-179169

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 5, pp. 5877-5886, 2019

Authors: Li, Xiaoqin

Article Type: Research Article

Abstract: With the development of the Internet, the application of multimedia in College English teaching is becoming more and more demanding, especially in the area of accurate information recommendation. In order to improve the accuracy of push information in College English multimedia teaching broadcasting, a particle swarm optimization (PSO) algorithm is proposed in this paper. By designing a massless particle to simulate the foraging behavior of birds, the algorithm searches for precise targets to obtain the optimal solution. Combining with Internet technology, the weight of data transmitted by multimedia broadcasting signal is calculated by setting an independent address, and then the …interactive data flow between teachers and students is analyzed to optimize the design of multimedia broadcasting terminal. The results show that the indicators with higher scores are mainly distributed in the construction of network teaching platform. The three indicators with the highest scores are convenience, module integrity and management and maintenance, which are 2.825, 2.715 and 2.696, respectively. Through this study, it brings new inspiration to the intellectualization of College English teaching. Multimedia broadcasting design can solve the problem of interference in terminal broadcasting transmission by setting independent addresses. Show more

Keywords: College English teaching, multimedia, broadcasting, terminal design, internet

DOI: 10.3233/JIFS-179170

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 5, pp. 5887-5895, 2019

Authors: Liu, Minghui | Xiang, Zheng

Article Type: Research Article

Abstract: In this paper, a novel signal candidate generation method and a new joint coding and probability peak to average power ratio (PAPR) reduction scheme are proposed for a Luby transform (LT) coded orthogonal frequency division multiplexing (OFDM) system. When a few LT packets are mapped into an OFDM symbol, all subcarriers are automatically divided into several blocks. We permutate these packets and assign them different subcarrier blocks to generate different signal candidates instead of multiplying by many phase rotation vectors and using active constellation extension, and the transmitted symbol will be the one whose PAPR is the smallest. Moreover, through …introducing one phase rotation vector, the proposed algorithm is modified, and the PAPR reduction performance is enhanced. Simulation results prove that our proposed scheme can not only fully explore the spatial freedom brought by the mapping relationship between LT packets and OFDM symbols but also can obtain effective PAPR reduction performance. Since the permutation operation does not change the degree value of each packet, the new scheme can still maintain good decoding performance. Show more

Keywords: PAPR reduction, OFDM, luby transform

DOI: 10.3233/JIFS-179171

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 5, pp. 5897-5904, 2019

Authors: Yan, Liu

Article Type: Research Article

Abstract: Music education plays a particularly important role in China’s existing education systems at all levels. With the development of Internet of Things (IoT) technology, interactive teaching methods are more and more widely used. Therefore, a piano teaching system model design algorithm is proposed based on the IoT technology to design the function of the piano teaching system, which is of great help to improve the quality of piano teaching. The current mature technical framework and development language are compared, the key technologies of the IoT using the system architecture is determined, and the structural design methods of the piano teaching …system analyzed, mainly using the SSH framework (ie Stmts, Spring and Hibernate’s model, based on this paper, a model design algorithm is proposed for building a piano teaching system based on the IoT technology. Finally, the algorithm and system are tested and implemented through experiments. The research results show that the algorithm uses the hardware underlying direct control development method, with an average scan of 12 times in 0.3 s, the recognition probability can be increased to 0.999719, the algorithm is effective, and the designed piano teaching system is fully functional. The research in this paper provides a theoretical reference for the wide application of IoT technology and the optimal design of piano teaching system. Show more

Keywords: IoT, piano, teaching system, SSH

DOI: 10.3233/JIFS-179172

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 5, pp. 5905-5913, 2019

Authors: Yao, Lu

Article Type: Research Article

Abstract: With the introduction of the information age, enterprise financial management has been challenged as never before, and the application of Internet of Things (IoT) technology can effectively improve the efficiency of financial accounting management and realize the informationization of financial management. In order to solve the problem of enterprise financial accounting data processing, a data mining algorithm is constructed, which uses data mining technology to obtain massive information data and cluster analysis processing to realize the fusion of multiple uncertainty information processing models. Firstly, the financial information cloud platform is designed by using the IoT technology. The financial risk index …coefficient of the enterprise is judged by the association rules. Finally, the research sample is divided into the risk group and the normal group according to the ST classification standard, and the 296 financial indicators of the two groups are correlated. The research results show that if the enterprise with a score below 40 points has financial risk, the accuracy rate is 70.9%, which is slightly lower than the financial risk warning model of the decision tree. Through the research of this paper, it has enlightenment to the financial accounting management of IoT enterprises. The data mining technology is applied in the processing of massive data information of accounting, which is moreefficient. Show more

Keywords: data mining algorithm, enterprise, financial accounting, smart management

DOI: 10.3233/JIFS-179173

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 5, pp. 5915-5923, 2019

Authors: Qi, Bo

Article Type: Research Article

Abstract: The emergence of resource conflicts and overload control problems during the playback of smart TV terminals has brought many obstacles to the operation of smart TV terminals, which has seriously affected the user experience of smart TV terminal users. In this regard, the adaptive media playback algorithm is optimized for smart TV terminals. This method performs dynamic priority preemptive scheduling on exclusive resources according to resource characteristics and application priorities to optimize resource allocation and improve media playback. The feedback control algorithm is used to perform QoS scheduling on shared resources until QoS proportional fairness is achieved, and QoS proportional …compression is used to eliminate resource overload. Finally, a DASH server on Apache and implements an analog DASH client using Python are built. In order to verify the performance of the algorithm, the research results show that the adaptive media playback algorithm has the overload control capability, which only solves the resource conflict and improves the response performance under heavy load of the system, and the algorithm consumes only 4.5% of the overall system QoS. Compared with the existing methods, it is about 30% lower, which is more suitable for resource scheduling of smart TV terminals. The research in this paper shows that the adoption of QoS scheduling mechanism contributes to the optimization of media playback resources and allocation ratio, thus making the playback process of smart TV terminals, which provides a reference for the optimization of smart TV terminal playback. Show more

Keywords: Smart TV, terminal, media playback, algorithm optimization

DOI: 10.3233/JIFS-179174

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 5, pp. 5925-5934, 2019

Authors: Ren, Xiaojian

Article Type: Research Article

Abstract: The research technique of human motor nerve is more complicated. In order to improve the understanding level of human motor nerve structure, a fusion architecture of human motion nerve and neural network computer driven by education are proposed. The human motor nerve simulation model is established by using the computer data simulation model. The model proposes an optimization scheme from the algorithm flow, the data transformation technology used to improve the real-time performance of the neural network and enhance the dynamic capture of the motor nerve changes. In order to further improve the architecture of the neural network and computer …architecture driven by sports, a neural network algorithm is added to realize the sequence optimization of data to test the authenticity and efficiency of the human neural network simulation model neural network algorithm. In this paper, the feasibility and functionality of the algorithm are tested with comparative experiments. The results show that the neural network algorithm neural network algorithm not only has a calculation time of only 12 seconds. Moreover, the calculation accuracy is high, achieving a high level of accuracy of 98%. On the other hand, other algorithms have lower accuracy and longer calculation time. The research shows that the neural network algorithm can improve the human motor nerve capture and optimize the architecture, which can provide reference for the fusion of human motion nerve and computer technology in the future. Show more

Keywords: Sports drive, motion nerve, neural network algorithm, structure fusion

DOI: 10.3233/JIFS-179175

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 5, pp. 5935-5943, 2019

Authors: Yunxing, Wang

Article Type: Research Article

Abstract: In a certain network environment, the use of teaching evaluation assistant decision-making system can further promote the rationality and fairness of teaching evaluation. Two screening algorithms are proposed, which combine with the influence factors in the automatic evaluation model of physical education teaching, delete the relevant factors and leave them behind. After two deep screening, the accuracy of the results is improved. By introducing the artificial neural network technology into the evaluation of physical education teachers’ teaching quality, the evaluation factors of neurons are calculated to establish the evaluation model of BP neural network. Secondly, the factors affecting the evaluation …results in the evaluation model of BP neural network are decomposed and screened by using the second screening method, and a certain amount of training and learning is carried out for the teaching quality data. The experimental results show that the second screening algorithm is effective and can improve the accuracy of the results of automatic evaluation of physical education teaching. By establishing the automatic evaluation model of physical education teaching, it can provide reference for the evaluation and assistant decision-making of physical education teaching quality in Vocational colleges. Show more

Keywords: Twice screening algorithm, physical education teaching, automatic evaluation

DOI: 10.3233/JIFS-179176

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 5, pp. 5945-5953, 2019

Authors: Wang, Han

Article Type: Research Article

Abstract: With the improvement of people’s living standards, people’s pursuit of material and high quality of living environment must combine the concept of human and nature to integrate urban landscape design with the surrounding ecological environment. The most interesting thing is the landscape design of most coastal cities. Based on this, a virtual environment is proposed based on virtual reality technology and intelligent algorithm, using 3-bit binary to represent the digital factor and creating the virtual environment by simulating the display environment. After constructing the basic model of coastal landscape, the landscape design of coastal areas using virtual reality technology is …analyzed, and the parametric design method of new images in landscape design analyzed, the landscape design of virtual reality technology in coastal areas analyzed. The research results show that the display degree of DEM is 50% and the image display detail degree is 90% by using virtual reality technology. Combined with 3DMAX, it can be transferred to the 3DMAX operation surface to perform real editing and simulation of the coastal garden environment. Thus, the algorithm proposed in this paper is effective. The research in this paper shows that it is feasible to apply virtual reality technology and intelligent algorithm to landscape design in coastal areas, and has achieved certain effects. Show more

Keywords: Virtual reality technology, intelligent algorithm, coastal area, landscape design

DOI: 10.3233/JIFS-179177

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 5, pp. 5955-5963, 2019

Authors: Yipu, Wang

Article Type: Research Article

Abstract: At present, in the context of the Internet of Things (IoT), more and more teaching institutions have integrated Internet technology into the English network teaching system. Therefore, based on the IoT technology, an English speech recognition algorithm is proposed based on the network teaching system, and develops the function of the network teaching system oriented to English speech intonation. In this paper, the function of the platform and the design of the key modules of the system are proposed in detail. During the operation of the recognition model, the collected speech signals are preprocessed, effective speech feature parameters are extracted, …and each frame feature parameter is composed into a vector sequence. The different sequences are classified, and the speech intonation system is developed based on the classification results. Then the improved particle filter algorithm is used to further improve the accuracy and speed of English speech system recognition, and the function of English speech network teaching system is optimized based on this. Experiments show that the excerpts from the China Daily website in the system of this article, most of them can be spliced with word primitives, reaching more than 90% of the total number of words in the measured text, reflecting the system’s higher word and segment coverage and high accuracy. The research in this paper has certain theoretical reference value for the construction and optimization of English phonetic system and the further development and use of IoT technology. Show more

Keywords: IoT, English phonetic intonation, network teaching system, function, development

DOI: 10.3233/JIFS-179178

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 5, pp. 5965-5972, 2019