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

Article Type: Other

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 5, pp. 5797-5797, 2019

Authors: Guarda, Teresa | Lopes, Isabel | Rocha, Álvaro

Article Type: Editorial

DOI: 10.3233/JIFS-179160

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 5, pp. 5799-5800, 2019

Authors: Peng, Ying | Zhang, Youtang | Wei, Yuping

Article Type: Research Article

Abstract:  With the rapid development of China’s economy, early-warning of operational risk has attracted significant attention of financial risk researchers in recent years. To analysis dynamic early-warning of operational risks, Chinese manufacturing industry publicly listed companies were selected as research object. A measure model of early-warning index of operational risks in Chinese manufacturing industry listed companies based on grey Kalman Filter was constructed. With the early-warning results of sample listed companies in manufacturing industry through calculating process noise covariance, measurement noise covariance and Kalman gain matrix; thirdly, a model of investors’ reactions was designed to test correctness of early-warning index of …operational risks. Results demonstrate that, for the case study, it can get precise result of early-warning results by using Kalman filter, and investors react negatively towards the operational risks. The conclusions contribute to prior literatures on the dynamic evaluation of early-warning of operational risks by providing operational processes. Show more

Keywords: Kalman filter, operational risks, early-warning, dynamic monitoring

DOI: 10.3233/JIFS-179161

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 5, pp. 5801-5808, 2019

Authors: Chen, Caiyun | Tang, Xiangxi | Li, Yingxuan

Article Type: Research Article

Abstract: There are many problems in the supply chain management of Chinese enterprises, which restricts the development of enterprises and the improvement of benefits. In order to improve the decision-making ability of Internet of Things (IoT) applications in enterprise supply chain management, the collaborative filtering algorithm is optimized. The algorithm determines the collaboration type according to the nature of the optimization target, and calculates the user similarity based on the user browsing behavior, so as to seek the recommendation function of the user to best evaluate the individual. According to the two objectives of the shortest time and the highest overall …satisfaction in emergency dispatching in enterprise supply chain management, a two-level planning model of commodity scheduling is constructed, the time function of the supply chain delivery process calculated. The simulation results of the model show that the demand forecasting algorithm based on neighborhood rough set and GA-SVM is used to predict the demand of chain retail supply chain, which achieves high prediction accuracy. The maximum error is 5.71%, the minimum error is 0.60. The average error is %, which is 2.84%. The research in this paper has implications for enterprise application of IoT in supply chain management. The use of decision-making model can greatly improve the operational efficiency of the supply chain. Show more

Keywords: IoT, decision model, supply chain, management

DOI: 10.3233/JIFS-179162

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 5, pp. 5809-5817, 2019

Authors: Shuo, Chen | Xiao, Chen

Article Type: Research Article

Abstract: With the advent of the Internet + era, traditional piano teaching is facing unprecedented opportunities and challenges. In order to realize the intellectualization of piano network teaching, this paper constructs a piano note recognition algorithm. According to MIDI files and corresponding piano audio files, the algorithm builds training and test waveform data to calculate the corresponding annotation files, and recompiles the multi-note model to realize the multi-note recognition system. The multi tone HMM acoustic model and multi note model are established by using Internet technology. The matching degree between the test audio and the multi note models is calculated respectively, …and then an Internet + piano intelligent network teaching system model is constructed. The test results show that when the number of states of the multi-note recognition system is 7, the correct recognition rate is the highest. Through this study, the piano intelligent network teaching system model has produced new inspiration, which can be more accurate when the multi-note recognition state is 7. Show more

Keywords: Internet+, network teaching, intelligent system, piano

DOI: 10.3233/JIFS-179163

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 5, pp. 5819-5827, 2019

Authors: Chen, Weiling | Song, Xiaogang

Article Type: Research Article

Abstract: With the development of Internet and information technology, enterprises are facing more challenges. It is urgent and necessary to innovate the mode of enterprise management. In this paper, from the perspective of contingency, a multi-objective genetic algorithm is constructed to introduce Internet of Things technology into enterprise management innovation. Through the function to solve the relationship between the various operating entities of the enterprise, the algorithm obtains the optimal solution of vehicle distribution. Firstly, contingency theory is introduced into the innovative design of enterprise information system to optimize the logistics distribution path under the environment of the Internet of Things …(IoT). The multi-objective genetic algorithm steps are designed, and the non-dominant set is constructed. The crossover and mutation operations of the objectives are combined to get the genetic sub-classes, and then the relationships among the parties in the enterprise logistics innovation management activities are solved. The experimental results show that the shortest running time of the algorithm is 0.56 seconds and the longest running time is 2.48 seconds. The average running time in the whole process is not more than 1 second, which meets the actual needs. The genetic algorithm can help enterprises to arrange the distribution path of logistics fleet reasonably. The research in this paper has enlightening effect on the management innovation of enterprises under the information environment, and further expands the application field of the IoT, which has practical significance. Show more

Keywords: Contingency perspective, IoT, business management, innovations

DOI: 10.3233/JIFS-179164

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 5, pp. 5829-5836, 2019

Authors: Cheng, Weidong

Article Type: Research Article

Abstract: Intelligent interference communication technology is an important direction for the development of a new generation of anti-jamming communication system through the recognition of complex electromagnetic interference environment and the use of learning and intelligent decision-making methods to achieve efficient and reliable information transmission. A channel prediction algorithm based on intelligent interference communication technology is proposed, and only a small-scale fading channel model is considered. Under the background of rapid development of information technology, the level of anti-interference of electronic communication is further improved, and the reliability of information transmission is effectively guaranteed. Under the background of fully expounding the physical …layer security technology, the anti-interference scheme in large-scale multi-antenna system in electronic communication is designed. Based on the physical layer security communication model in the full-duplex network, a channel prediction scheme is innovatively proposed to reduce the impact of imperfect CSI. Through this measure to improve network security performance, the proposed anti-interference scheme was tested. The test results show that because Massive MIMO can direct the transmit beam and energy to the user direction, in the physical layer security scenario, for malicious eavesdroppers in the network, it cannot steal information and is difficult to interfere with electronic communication. Show more

Keywords: Intelligent algorithm, electronic communications, anti-jamming technology

DOI: 10.3233/JIFS-179165

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 5, pp. 5837-5847, 2019

Authors: Gong, Qingzhi | Wu, Guowei | Liu, Zhaoxia

Article Type: Research Article

Abstract: Edge computing applications have the characteristics of huge scale and sensitive quality of service. However, due to the “long tail delay” problem of user access requests across the heterogeneous environment of edge networks, wide area networks and data centers, the quality of experience of edge users has seriously decreased. Therefore, a time reduction rule calculation algorithm based on Internet of Things (IoT) delay application-driven measurement mechanism is proposed, which can be applied to multi-source heterogeneous information fusion, big data fusion and information fusion security. The system architecture features of edge computing applications are reviewed, and the causes and classifications of …long tail delays are analyzed. The main theories and methods of network delay measurement are introduced, and the optimization techniques for long tail delay are summarized. Finally, the online optimization operation environment is proposed thoughts and challenges. The research results show that the GXDGC algorithm proposed is effective for the application of driving measurement technology in IoT delay. Users’ access to online real-time big data needs to span complex heterogeneous network environments such as edge networks, wide area networks, data center networks, etc. Due to the superposition of delays, any increase in delays in online real-time big data processing will inevitably lead to end-to-end long-tail delays. Therefore, it is necessary to design an integrated optimization mechanism to control end-to-end online real-time big data network delays. Show more

Keywords: Edge calculation, IoT delay, drive measurement, optimization

DOI: 10.3233/JIFS-179166

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 5, pp. 5849-5856, 2019

Authors: Han, Liru

Article Type: Research Article

Abstract: Atmospheric scintillation brings additional noise to the detection system and reduces the receiving sensitivity of the system. It is urgent and necessary to introduce computer technology to improve the sensitivity of the system. Based on this, a computer simulation algorithm is proposed to simulate the atmospheric scintillation model in laser communication to analyze the sensitivity of the detection system. Taking Kalman filter estimation algorithm as the core of system state estimation, the problem of detection noise caused by atmospheric scintillation in laser communication is analyzed by means of computer simulation simulation algorithm. A Kalman filter estimation algorithm based on adaptive …process-measurement model is proposed, and the computer simulation experiment of intensity scintillation caused by turbulence is carried out. The experimental results show that the error mean, covariance and root mean square error of the adaptive process model are the smallest. The second-order adaptive process model plays an important role in removing additional noise and improving system sensitivity, which meets our expectation of model order selection. The proposed method has good robustness, real-time and accuracy. Computer simulation algorithm is applied to the optimization of laser communication, which brings enlightenment to the optimization of laser communication technology and the application of computer intelligent algorithm. Show more

Keywords: Laser communication, atmosphere, noise detection, computer simulation

DOI: 10.3233/JIFS-179167

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 5, pp. 5857-5865, 2019

Authors: Hu, Yanna

Article Type: Research Article

Abstract: The innovative concept of cloud computing in service model and technology has brought profound changes to the work of the library. In order to further realize the goal of library information resource sharing, this paper proposes a clustering algorithm that effectively evaluates the resource sharing operation mechanism, and effectively combines resource sharing cloud service with cloud computing. Based on the analysis of the key technologies of library information resource sharing cloud service, the cloud computing model algorithm is proposed and constructed to design the cloud service sharing model, and the IaaS cloud computing platform and the cost utility of the …underlying support platform of SaaS and PaaS are developed. The library information resource sharing cloud service system is designed, and the performance of the system is analyzed and verified through experiments. The experimental results show that the running time of the algorithm on the four data sets is more than 30 times faster than the traditional clustering algorithm, which indicates that the algorithm is very effective compared with the traditional clustering algorithm. The research provides effective technical support and theoretical reference for the realization of library information resource sharing cloud service. Show more

Keywords: Cloud computing model, library information, resource sharing, cloud service

DOI: 10.3233/JIFS-179168

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 5, pp. 5867-5875, 2019