Journal of Intelligent & Fuzzy Systems - Volume 35, issue 3

Authors: Fu, Haiwei

Article Type: Research Article

Abstract: The application of an intelligent logistics information platform has promoted the development of logistics informatization, and how user usage intention can be improved is an important link for accelerating the promotion of the intelligent logistics information platform. The influencing factor model of user usage intention on an intelligent logistics information platform was developed based on the technology acceptance model, and empirical verification was performed for research hypotheses based on a questionnaire survey to identify the key factors that influence user usage intention and the influencing paths. Results show that information resource, management service, and platform technology have significantly positive influences …on user perceived usefulness (PU); management service, platform technology, and application effect have significantly positive influences on perceived ease of use (PEOU); PEOU has a prominently positive influence on PU; and PEOU and PU have significantly positive influences on user usage intention. On this basis, suggestions for optimizing intelligent logistics information platform were proposed. Show more

Keywords: Intelligent logistics information platform, user usage intention, influencing factors, technology acceptance model

DOI: 10.3233/JIFS-169623

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 3, pp. 2711-2720, 2018

Authors: Meng, Xianyong | Liu, Qing | Wang, Hao

Article Type: Research Article

Abstract: Based on the climatic, surface and human factors of desertification, an index system and an intelligent model of desertification forewarning are established for the downstream of Tarim River. Based on the remote sensing, climate, land surface, and human data in 1990, 2000, and 2006, the ArcGIS software is used to quantify and rasterize the data of each factor. The forewarning model reveals the distribution of desertification degree in the three study periods on a scale of 30×30 m and the results are used to conduct the correction and verification of model parameters. The development trend of desertification in the study area …in 2015 is then forecasted under the conditions of “intermittent water conveyance” and “no water conveyance” respectively. Through the parameter correction, the accuracy of the simulated distribution of desertification degree can be more than 90%, showing a good performance of the model. The intermittent water conveyance plays a certain role in the reversal of desertification in the downstream of Tarim River, which is a necessary measure to prevent a complete desertification. However, the reversal effect is only confined to a limited extent along the river channel and cannot thoroughly change the current situation of desertification in the study area. Show more

Keywords: Desertification, intelligent forewarning model, grid scale, tarim river downstream, ecological water

DOI: 10.3233/JIFS-169624

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 3, pp. 2721-2730, 2018

Authors: Yingjie, Song | Cuicui, Lv | Junxian, Liu

Article Type: Research Article

Abstract: As essential consumer goods for daily life, agricultural products tend to go bad from the farm to the table. Therefore, people put forward higher requirements for the quality of agricultural products. How to manage and control the quality of agricultural products and to control the quality of agricultural products by chain type are the cores of scientific research. The purpose of combining Agent technology with agricultural product quality safety traceability system was to establish the quality and safety traceability system of agricultural products based on Multi-Agent in the study. Artificial intelligence, intelligent control and intelligent detection technologies were used effectively …in the system. The framework of quality and safety traceability system of agricultural products proposed in this study can be used to analyze modules in the quality of agricultural products. Through a number of Agent refining divisions of labor, the quality safety early warning and supervision control for the supply chain of agricultural products was carried out. The performance evaluation system of agricultural product quality safety traceability system based on Multi-Agent was established, so as to provide a systematic evaluation basis for the quality supply of agricultural products. Show more

Keywords: Multi-Agent, agricultural products, quality safety, artificial intelligence

DOI: 10.3233/JIFS-169625

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 3, pp. 2731-2740, 2018

Authors: Chen, Yushu | Wu, Zhihui

Article Type: Research Article

Abstract: Wood modification is a processing method to change the physical and chemical properties of wood, and it can improve its corrosion resistance, flame retardancy and other properties. With the rapid development of the furniture industry, the application of high-end technology is the inevitable way to meet the needs of the vast majority of consumers. Therefore, this paper based on the PSO algorithm, the properties of the modified wood were grasped as a whole and then used the virtual reality technology, and applied the design of modified wood to the furniture field which could ensure the safety of users at the …same time and also take into account the aesthetic needs of the user. In this paper, the 3D model based on virtual reality technology could be modified and the accuracy of nodes was counted, and its feasibility was determined through its use. Show more

Keywords: Particle swarm optimization (PSO), modified wood furniture, virtual reality, discussion

DOI: 10.3233/JIFS-169626

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 3, pp. 2741-2747, 2018

Authors: Su, Jianfei | Feng, Yuqiang | Liu, Luning

Article Type: Research Article

Abstract: With the progress of modern society, human knowledge explodes, which calls for more convenient, faster and more effective methods of education. In this research, we focus on the construction of the computer aided intelligent tutoring system based on a new teaching model, and its influence on teachers’ teaching self-efficacy. Firstly, on the basis of the actual demand of ICAI system, the theoretical basis and development principle of intelligent tutoring system were expounded, and the system construction of student model and teacher model was studied. Secondly, the implementation of the quantitative assessment of cognitive ability and the teaching strategy base in …DCB-ITS student model were studied and the implementation of the intelligent tutoring system was analyzed. Finally, in order to test the efficiency of the system, we carried through an empirical study. A survey to 209 college teachers was conducted, the results show that teachers who make use of the intelligent tutoring system during the teaching activities report higher scores of teaching self-efficacy, which indicates that compared with the traditional teaching model, the computer aided intelligent teaching model is of great help for teachers in making them feel more confident about teaching effectively. Show more

Keywords: Computer assisted instruction, teaching self-efficacy, intelligent tutoring system, DCB-ITS

DOI: 10.3233/JIFS-169627

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 3, pp. 2749-2759, 2018

Authors: Mei, Yan

Article Type: Research Article

Abstract: The optimal path planning for tourist guides in tourist areas can effectively improve the utilization of tourism time. This paper studies and analyzes the application and improvement of ant colony algorithm in terminal tourism route planning under Android platform, and proposes an optimal tour guide path planning model based on ant colony algorithm. By giving the time constraint of tour guide path planning and the total length of tour guide path, we solve the objective function and complete the tour guide path planning for the best group in the tourist area. The experimental results show that the proposed model and …the optimal path planning algorithm are more optimized. Show more

Keywords: Android platform, tourism route planning, ant colony algorithm, optimal path planning

DOI: 10.3233/JIFS-169628

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 3, pp. 2761-2768, 2018

Authors: Wang, D. | Chen, H. | Yang, H. | Xue, S.

Article Type: Research Article

Abstract: This paper has analyzed the intelligent parking system algorithm based on camera calibration model. The camera model has been established, the initial calibration image collection is acquired by the initial image generation module, the calibration image is updated according to the output of the error analysis module, and the accuracy analysis module is used to determine whether the algorithm is over. Through the initialization, real-time updating and real-time arrangement of the time windows of the feasible paths, the collision-free path planning of multiple AGVs is realized. Experiments show that the proposed method has better robustness and flexibility and effectively improves …the overall operation efficiency of intelligent parking system. Show more

Keywords: Camera calibration model, intelligent parking, parking system algorithm, camera model

DOI: 10.3233/JIFS-169629

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 3, pp. 2769-2775, 2018

Authors: Wang, Xiaomeng

Article Type: Research Article

Abstract: Music recognition is an interdisciplinary field, in the field of music retrieval and automatic music has very important application value in technology. In order to study the improvement method of music recognition for piano music, this paper compared the characteristics of music signals and speech signals around music related theories, discussed the selection of dimension of feature vectors, and used RBF neural network to identify 88 monosyllabic pianos. At the same time, the characteristics and calculation methods of the sound level contour with high frequency in western music and chord recognition were studied, and the specific formulas were given. The …final study shows that: The improved method gives intermediate weights more inclined note nest, which has a higher accuracy than the traditional method and fault tolerance. Show more

Keywords: Music recognition, RBF neural network, base frequency extraction of music

DOI: 10.3233/JIFS-169630

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 3, pp. 2777-2783, 2018

Authors: Yu, Lei | Hu, Xin

Article Type: Research Article

Abstract: In view of the increasingly prominent congestion in urban traffic, it will be of great use to study the reasonable Lane configuration and optimization strategy. This paper analyzes the control and optimization algorithm for dynamic green wave used in city traffic intelligent control. The fuzzy programming model of single target is set up, and genetic algorithm is used to solve the optimal timing scheme of single intersection signal lamp. On the basis of this, the scheme of coordination control model of green wave is introduced to optimize the distribution of adjacent intersections. The optimization results show that the proposed scheme …can effectively alleviate the traffic congestion and reduced the parking delay. Show more

Keywords: Urban traffic, intelligent control, dynamic green wave, control optimization algorithm

DOI: 10.3233/JIFS-169631

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 3, pp. 2785-2792, 2018

Authors: Li, Zhang | Yuchen, Wu | Kai, Deng

Article Type: Research Article

Abstract: Under the environment of cloud, particle swarm algorithm is widely used in intelligent computer field. The combination model of the logistics service is solved. However, in solving workflow and call problems, the traditional algorithm consumes more time and does not meet the logistics application scenarios. In this paper, the particle swarm optimization algorithm was optimized and improved. The execution order of users was used to re arrange the algorithm. The experimental results showed the high efficiency of the algorithm and rapid computing speed. In order to solve the problem of particle swarm algorithm “premature”, a jamming algorithm was designed in …this research. When the similarity of particle swarm was greater than a limit value, the particle position was updated optimally, and the local optimal solution and global optimal solution were retained. The particle swarm optimization algorithm could successfully avoid that the particle swarm optimization got into the local dead loop problem when searching for the optimal solution. It could be seen based on particle swarm optimization algorithm experimental results that the algorithm had high superiority in computational efficiency and speed. Show more

Keywords: Particle swarm optimization, service composition, international logistics, user preference

DOI: 10.3233/JIFS-169632

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 3, pp. 2793-2803, 2018