Journal of Intelligent & Fuzzy Systems - Volume 37, issue 4

Authors: Lu, Hsin-Ke | Lin, Peng-Chun | Chu, Kuo-Chung | Chen, Alexander N. | Yuan, An

Article Type: Research Article

Abstract: According to the reports of a NGO-World Blind Union in 2017, approximately 253 million people have visual impairment. Besides, the statistics of Taiwan’s Ministry of Health and Welfare also reported that the number keep growing in these two decades. Therefore, how to assist them to have better daily life experiences will be a significant issue. The purposes of this study were designing and constructing a guidance system in order to assist them to know their spatial position and further to guide them to arrive their destination. In this system, the researchers used the integration of smartphone, wearable devices and iBeacon …technique to achieve the purpose of guide. Furthermore, this system allowed caregivers to contact the visually impaired and know their real-time circumstances through the internet in order to enhance their sense of security in unfamiliar indoor environment. For system evaluation, the researchers adopted a SUMI questionnaire suitable for evaluating the usability of the system through users’ feedbacks. According to the research survey, this system can provide the visually impaired with a safer indoor guidance in order to improve their ability and confidence in independent walking. Show more

Keywords: Visual impairment, indoor positioning, Beacon, navigation

DOI: 10.3233/JIFS-179301

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 4, pp. 4665-4675, 2019

Authors: Li, Yu | Yuan, Kun | Cai, Qian | Yu, Fengyuan | Cai, Chengfeng | Li, Xiaoying | Liu, Pengfeng | Qian, Meiyu | Yu, Juan | Peng, Xiaomei | Chen, Hongguan | Qin, Runtian | Wang, Ziwei | Huang, Nanxi | Liu, Kongling | Cheng, Zhi

Article Type: Research Article

Abstract: People can rely on complex tactile systems to perceive the basic physical properties of an object, and take the corresponding action and pressure to grab the object. However, this task is not easy for mechanical manipulator. The feedback of most manipulators is limited to pressure, it is difficult for manipulators to identify the other properties of the object by touch. A new manipulator method is designed in this paper. The tactile images are reflected by flexible tactile sensor in this manipulator system. A large number of tactile images are used to build training set by which the capsule network is …trained to evaluate images. When an object is captured by a manipulator, and parameters such as shape, rigidity, weight and density of target objects are analyzed. Pseudo color transformation of tactile images is performed, in this way, the changes of each parameter of tactile signals can be observed visibly. It is innovative to process the tactile image by using capsule network and realize the evolutionary bionic tactile function. Show more

Keywords: Capsule network, image processing, bionic manipulator, pseudo color image

DOI: 10.3233/JIFS-179302

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 4, pp. 4677-4685, 2019

Authors: Yao, Fuguang

Article Type: Research Article

Abstract: At present, China has great difficulty in obtaining the reliability of teaching data sources. In order to further improve the effectiveness of data mining and reduce the difficulty of data acquisition, this paper studies the design and simulation of integrated education information teaching system based on fuzzy logic. Bayesian algorithm can perform data mining, feature recognition and classification on data in big data, so that it can effectively process massive data sources. By weighting the different network structures, the number of undirected edges in the network is reduced, and then small data sets that can be processed by multiple traditional …algorithms are sampled from the big data set, and data is generated by using the Bayesian network toolkit Samiam. The modules respectively generate data sets of different sizes and construct a teaching data source generation model. The experimental results show that RSEM on Child and Alarm data can take less time and achieve an accuracy of 86.17% compared with the whole data set under the same effect. This paper proposes a Bayesian network structure integration model, which can solve the problem of data acquisition difficulties, and is also a further improvement of data mining technology. Show more

Keywords: Deep learning, data mining, teaching data source

DOI: 10.3233/JIFS-179303

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 4, pp. 4687-4695, 2019

Authors: Chen, Limin | Ma, Mengli | Sun, Lixin

Article Type: Research Article

Abstract:  In the current agricultural product consumption market, the consumer’s demand for agricultural products tends to be diversified and individualized, and they need stricter links of cold chain logistics distribution of agricultural products. The cold chain logistics of fresh agricultural products is also the business of high energy consumption and high carbon emission in the logistics industry. The contradictory relationship between it and the “low-carbon economy” advocated today leads to the necessity to consider the relationship between economic benefit and environmental impact in the process of rapid development. Based on this, this paper, from the perspective of low-carbon economy, based on …the analysis of the necessity of optimizing the distribution path of cold chain logistics of agricultural products, constructs a model for this and puts forward a swarm intelligence optimization algorithm-particle swarm optimization (PSO) algorithm. The algorithm is improved from inertia weight, convergence factor, learning factor, and population size and so on. The optimized PSO algorithm is compared with the traditional PSO algorithm. Finally, the simulation results show that the improved algorithm can be used to optimize the distribution path of cold chain logistics of agricultural products effectively, and the specific optimization countermeasures are put forward according to the actual situation. Show more

Keywords: Low carbon economy, cold chain logistics, agricultural products, distribution system, optimization

DOI: 10.3233/JIFS-179304

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 4, pp. 4697-4703, 2019

Authors: Liu, Yi | Lu, Jiahuan | Mao, Feng | Tong, Kaidi

Article Type: Research Article

Abstract: In order to pre-warning the product quality risk of the e-commerce platform, this paper studies the machine learning algorithm for the products quality risk assessment, which propose the Fuzzy C-Means clustering algorithm for the feature extraction and the Cost Sensitive Leaning (CSL)-Naive Bayesian algorithm to construct the assessment model for E-commerce product quality risk form the massive and unbalanced data. The experimental results show that the Machine Learning algorithm based on Spark has better scalability and superiority in the large-scale data environment, which can accurately identify e-commerce product quality risk.

Keywords: E-commerce product quality, risk assessment, fuzzy c-means clustering algorithm, cost sensitive leaning, Naive Bayesian algorithm

DOI: 10.3233/JIFS-179305

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 4, pp. 4705-4715, 2019

Authors: Mao, Jia | Liu, Ruiping | Zhang, Xiuzhi

Article Type: Research Article

Abstract: There are many optional basic frameworks of the Internet of Things, which result in high energy consumption for Internet of Things monitoring platform of straw recycling, and cannot improve the thermal energy conversion rate of the straw recycling monitoring system effectively. Thus, the design is based on smart surveillance system of Internet of things of straw recycling process. The WMNBM14s chip and the STM32F103 chip are used in the basic frame of Internet of things to collect and process the straw recycling data in the monitoring system, and obtain the data processing result of the straw recycling process. The data …processing result of the straw recycling process is transmitted to Internet of Things Control Terminal through the BCM43362 wireless chip. The experimental results show that the designed platform has low energy consumption and can improve the thermal energy conversion rate of the straw recovery system. Show more

Keywords: Genetic algorithm, straw recycling process, Internet of Things monitoring system, BCM43362

DOI: 10.3233/JIFS-179306

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 4, pp. 4717-4723, 2019

Authors: Wei, Pengcheng | Li, Li

Article Type: Research Article

Abstract: How to recommend learning resources to users accurately to meet the individual needs of users becomes the key issue with the increasing number of online education users. A personalized recommendation system was proposed in this paper based on user preference behavior data analysis to analyze the online education recommendation model. It determines the criteria set of the recommendation system with the product attribute mining method, and then uses the personalized recommendation algorithm for user preference modeling to explore the user’s preference for each criterion, thereby producing more accurate recommendations. The simulation results of the algorithm proposed in this paper show …that the multi-criteria recommendation algorithm using user distance similarity works best. Using this personalized recommendation algorithm based on user preference can effectively improve the recommendation quality. Show more

Keywords: User behavior, data analysis, online education

DOI: 10.3233/JIFS-179307

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 4, pp. 4725-4733, 2019

Authors: Wen, Li-Hua | Shi, Zhi-Hua | Liu, Hong-Yao

Article Type: Research Article

Abstract: There are various kinds of common natural disasters, including flood, drought, typhoon, geological disaster, forest fire and major biological disaster. Natural disaster is an abnormal event in the evolution of geographical environment, but it has become one of the most important natural factors hindering the development of human society. With the economic development and population expansion of human beings, water resource shortage is becoming more and more serious, so drought has always been a major natural disaster faced by mankind. This paper studies the GIS-based risk assessment and regionalization of Taihang Mountain drought and flood disasters. In the process of …regional environmental quality assessment, GIS technology is used to conduct an objective and comprehensive evaluation of the environmental quality of the whole region. This paper then constructs the combination of GIS technology and QUEST algorithm. Based on the decision tree model of Taihang Mountain drought disaster risk assessment, the risk of drought disaster in Taihang Mountain is evaluated. The results show that the distribution of drought disaster in Taihang Mountains is similar to that of drought disaster risk. The risk of drought disaster mainly distributes in the middle and west of Taihang Mountains. The risk in the east of Taihang Mountains is the lowest. The risk in the west of Taihang Mountains increases gradually. Generally speaking, the drought resistance of southern Taihang Mountains is higher than that of northern Taihang Mountains. Show more

Keywords: GIS, Taihang Mountain, drought disaster, risk assessment, zoning

DOI: 10.3233/JIFS-179308

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 4, pp. 4735-4743, 2019

Authors: Yan, Shuhua | Guo, Linfeng

Article Type: Research Article

Abstract: Stock market trading is relatively difficult due to the relatively complicated investment in financial markets. In order to solve this problem, an industry configuration model based on deep learning network sentiment mining and fundamental research is proposed innovatively in this paper. Firstly, by crawling the network information, the network public opinion data is used to conduct industry classification and sentiment analysis on the data, thereby obtaining the industry sentiment index and the industry income forecast. Then combined with the fundamental data and market data and the technical indicators generated by it, multi-factor analysis is carried out, and the income forecast …is obtained. Through three sets of comparative experiments, the results show that the investment returns obtained are the best with the industry configuration model based on deep learning-based network sentiment mining and fundamental research. Show more

Keywords: Recurrent neural network, internet emotion mining, word vector analysis, industry configuration, fundamental analysis

DOI: 10.3233/JIFS-179309

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 4, pp. 4745-4752, 2019

Authors: Yang, Ming

Article Type: Research Article

Abstract:  There are still many problems in the application of face recognition technology in specific environments. In order to improve the recognition accuracy of face recognition technology in large-scale event scenes, a face tracking algorithm is constructed based on improved ORB features in this paper. The algorithm uses the kernel function color histogram to model the target, which can perform well on target recognition during rotation or edge occlusion. The value of the face representation function is calculated by combining the texture feature and the color feature. By converting the function value into moment feature and combining it with the Bhattacharyya …coefficient, the tracking performance of the target and the accurate detection of the target real scale improves. Taking the Tianjin National Games as an example, the intelligent security system based on face recognition was designed and implemented. The test results show that the proposed algorithm can reduce the face feature dimension effectively. When the control library is no more than 10,000 people, the false alarm rate is 1%, and the false negative rate is less than 5%. It provides a new recognition method for face recognition in the application of large-scale event scenes. Show more

Keywords: Face recognition, active scene, face tracking algorithm

DOI: 10.3233/JIFS-179310

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 4, pp. 4753-4761, 2019