Journal of Intelligent & Fuzzy Systems - Volume 37, issue 3

Authors: Zhang, Changqi | Guan, Yepeng

Article Type: Research Article

Abstract:  In order to promote the development of visual target tracking technology, this paper uses discrete differential algorithm in computer to assist analysis. First, the development status of target tracking technology is expounded, constructing the target tracking model by using different image sequences. In order to enhance the efficiency of target tracking, discrete differential algorithm is added. The algorithm can reduce the complexity of the computation and adopt the traditional optical flow evaluation method and level set frame tracking method to perfect. An optimization and update scheme is proposed from the algorithm flow and evaluation model, and an effective evaluation model …is established by effectively evaluating the state of the visual tracking target model. In the test of target tracking model, through the comparison of different targets and the efficiency of data calculation, it is proved that the model can be layered for the target, and the addition of discrete differential algorithm effectively solves the problem of scale self-adaptation, which deserves further popularization. Show more

Keywords: Target tracking, differential algorithm, computer vision

DOI: 10.3233/JIFS-179128

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 3, pp. 3267-3274, 2019

Authors: Ding, Bangxu | Chen, Wen | Huang, Yongqing

Article Type: Research Article

Abstract:  At present, cloud computing technology has developed rapidly, which has gradually integrated into the IoT (Internet of things) data mining technology and formed a new model. Based on this, the construction of IoT data mining mode is studied based on cloud computing technology. As an example, a new data mining model is designed. An optimization and update scheme is proposed from the algorithm flow and evaluation model. By effectively evaluating the state of the data mining model, an effective evaluation model is established, and the corresponding evaluation results are given. The structure of the IoT cloud platform is first designed, …and then the database module of the information sharing platform is designed, the web interface of the IoT cloud platform is standardized, and finally the mode is tested. The application of the platform is tested to test the accuracy of the data so that it can accurately obtain information. Show more

Keywords: cloud computing, IoT, data mining

DOI: 10.3233/JIFS-179129

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 3, pp. 3275-3283, 2019

Authors: Liu, Rong | Liang, Jin | Alkhambashi, Majid

Article Type: Research Article

Abstract:  The UAV system has evolved in the direction of intelligence and autonomy. Mission planning is an important part of autonomous drone control. The issue of route planning and task assignment in drone mission planning is studied. For the drone path planning problem in three-dimensional static threat environment, two improved ant colony algorithms are proposed, and these prior knowledges are constructed as multiple heuristic information of ants, guiding the ant’s path search, and verifying the global convergence of the algorithm. The fuzzy inference system is used to dynamically adjust the parameters of the RRT algorithm according to the real-time information of …the task environment and the growth status of the RRT random tree. The experimental results show that the two improved algorithms can obtain better planning results than the single artificial potential field method and ant colony algorithm, effectively shorten the route planning time, improve the planning accuracy, and obtain the optimal flight path. Show more

Keywords: cloud computing, reinforcement learning algorithms, UAVs, mission planning

DOI: 10.3233/JIFS-179130

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 3, pp. 3285-3292, 2019

Authors: Li, Xin | Robin, H.

Article Type: Research Article

Abstract:  In this subject, the model recognition method was adopted, namely, the multi-note model based on the hidden Markov process was established by using the multi-note as the basic modeling unit. And the related modules in HTK were recompiled to build a multi-note recognition model, thus the features of a multi-note audio file were extracted; An optimization and updating scheme was proposed from the algorithm flow and evaluation model. By effectively evaluating the data state of the piano note model, an effective recognition model was established, and the corresponding recognition results were given. Then based on the analysis of the principle …of commonly used audio file parameterization and combined with the characteristics of multi-note audio, the existing feature extraction modules in HTK were optimized; finally, the real time robust recognition of single notes, the HMM modeling of multi-note and the recognition of multi-note HMM model were successfully realized. Show more

Keywords: Multi-note, endpoint detection, diverse dictionaries, HMM modeling

DOI: 10.3233/JIFS-179131

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 3, pp. 3293-3302, 2019

Authors: Shuzhen, He

Article Type: Research Article

Abstract:  In order to adapt to the rapid development of IoT (Internet of things), the demand for innovative talents in modern enterprises is becoming more and more urgent. Innovation capability and level are characterized by knowledge economy, which is the decisive foundation for the development of the country and society. Starting from the needs of human resources, the training mode of innovative talents in Universities of science and engineering is studied. On the basis of the analysis of the methodological principles of the TRIZ theory, the characteristics of the talents in the IoT are combined. The training of innovative thinking is taken …as the guidance, refining the scheme according to the knowledge based tools, and the training of the creative ability of the talents is guided, using the criteria of judging ideality to evaluate the achievements of the innovation. Simulation experiments show that this research can effectively improve the training effect of innovative talents. Show more

Keywords: IoT, human resources, science and engineering universities, talents, research

DOI: 10.3233/JIFS-179132

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 3, pp. 3303-3310, 2019

Authors: Sun, Hongxia

Article Type: Research Article

Abstract:  University educational administration management system is one of the core tasks of digital campus. Data mining is a technology that taps potential information from a large amount of data according to a specific algorithm for researchers to analyze. The experimental comparison between the improved algorithm and the unmodified algorithm shows that the improved algorithm has better performance and can improve the convergence speed of the clustering and the accuracy of the clustering results. The improved algorithm is applied to the mining of student achievement evaluation. Finally, according to the comparison of the results of the traditional rating criteria with the …dynamic rating evaluation results, the results confirm the rationality and feasibility of the management of college computer network education according to the clustering algorithm. According to the cluster analysis of these two models, it shows that it is meaningful to introduce data mining into the management of college computer network education administration. Show more

Keywords: Data mining, clustering algorithm, teaching management

DOI: 10.3233/JIFS-179133

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 3, pp. 3311-3318, 2019

Authors: Li, Shuangdong | Xu, Jing | Cele, Ste

Article Type: Research Article

Abstract:  Path planning is an important part of logistics management and an important part of intelligent transportation system. The shortest path problem in graph theory is the theoretical basis of path planning. On this basis, this paper studies the application of graph theory in logistics management and transportation linkage and its computer-aided model design. In order to give full play to the advantages of the optimized road network model, this paper adopts the matching path planning algorithm and control strategy. The optimized road network model puts forward a partition method based on data quantity and connectivity principle and realizes the equalization …of partition data quantity. Compared with the general road network model, the established road network partition is more reasonable and more in line with the actual requirements of the path planning algorithm. Through the research in this paper, it provides a reasonable and effective solution for practical application, which is innovative and practical. Show more

Keywords: Graph theory, logistics management, transportation path

DOI: 10.3233/JIFS-179134

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 3, pp. 3319-3326, 2019

Authors: Zhang, Xiaojuan | Alijla, Basem

Article Type: Research Article

Abstract:  In order to further promote the development of erhu, an inheritance and innovation model research in the development of erhu art is proposed based on intelligent algorithm. The development of erhu is expounded, with the intelligent algorithm used to construct the erhu learning model, which can simplify the skills in erhu learning, make it more easy to understand, and get better inheritance and development. An optimization and updating scheme is proposed from the algorithm flow and evaluation model. By effectively evaluating the data connection state of the erhu art model, an effective identification model is established, and the corresponding optimization …results are given. In the test for the erhu learning model, the efficiency of the erhu teaching and the data accuracy of the computer algorithm are tested. The test results show that the addition of artificial intelligence makes the erhu teaching more simple, and the teaching content is more accurate, which is worth further promotion and development. Show more

Keywords: Neural network algorithm, erhu art, Inheritance and innovation

DOI: 10.3233/JIFS-179135

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 3, pp. 3327-3334, 2019

Authors: Ma, Yu

Article Type: Research Article

Abstract:  At the moment, it is the hot period of the development of economic globalization. All parts of the world are actively developing a green and healthy sustainable development economy. In this process, it is necessary to adjust the necessary economic structure. Financial and monetary policy is one of the key ways. Through rational and scientific regulation of financial and monetary policies, we can effectively promote the rationality of economic structure adjustment. An optimization and update scheme is proposed from algorithm flow and evaluation model, and an effective identification model is established by effectively evaluating the data connection status of financial …model. The FreeSpace model and cvtouch mode in wireless network technology are used to build a cluster environment with high efficiency in dealing with financial data. The EGARCH model is used to study the impact of financial and monetary policies on economic restructuring, hoping to provide new ideas for future policy formulation. Show more

Keywords: Wireless network technology, financial and monetary policy, economic structure

DOI: 10.3233/JIFS-179136

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 3, pp. 3335-3346, 2019

Authors: Li, Yukuan | Chu, Liang | Zhang, Yuanjian | Guo, Chong | Fu, Zicheng | Gao, Jianbing

Article Type: Research Article

Abstract:  With the continuous improvement of the economic level of various countries and the continuous development of urbanization, the problems of urban traffic congestion and traffic accidents are also increasing. In recent years, the development of computer vision and the emergence of webcam in traffic roads provide a convenient condition for the realization of intelligent traffic video tracking. In order to realize the video tracking technology in intelligent traffic, the target detection and tracking of the moving objects such as vehicles and human beings should be carried out first, and the detection and tracking of the moving target in the foreground …map is of great practical significance and practical value. Based on this problem, the open source image processing library of hardware video server and software – Open CV is applied to design and implement intelligent transportation video tracking technology. The intelligent traffic monitoring, target track monitoring, abnormal target occurrence monitoring, target retention monitoring, target oriented mobile monitoring and other intelligent behavior functions are completed to achieve intelligent traffic video tracking. As a result, intelligent traffic management and better maintenance of traffic order is achieved. Show more

Keywords: Video tracking, intelligent transportation, mobile detection, computer

DOI: 10.3233/JIFS-179137

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 3, pp. 3347-3356, 2019