Journal of Intelligent & Fuzzy Systems - Volume 38, issue 2

Authors: Fuguang, Yao

Article Type: Research Article

Abstract: Based on the analysis of campus cloud storage requirements, the paper plans a cloud storage structure model to achieve the goal of breaking the bottleneck of traditional campus network resource utilization. The model established in the thesis fully considers the problems of cluster data security and big data analysis and utilization, and proposes an optimization scheme for cloud storage open platform system design. Plan the HDFS + HBase distributed storage deployment in the Hadoop cluster, elaborate the process of behavior analysis, and find a way to optimize and improve the cloud storage in colleges and universities. HBase technology implements operations …on HDFS distributed storage systems in Hadoop clusters, effectively improving the efficiency of resource access and resource analysis. The cloud platform storage platform designed by the thesis solves the problem of integrating the superior resources of colleges and universities. Show more

Keywords: Cloud computing, big data technology, campus network, cloud storage platform, Hadoop platform, HDFS+HBase distributed storage

DOI: 10.3233/JIFS-179483

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 2, pp. 1215-1223, 2020

Authors: Xie, Jigang

Article Type: Research Article

Abstract: Firstly, the paper analyzes the information propagation mode of Sina Weibo, and proposes a new MURank algorithm based on PageRank algorithm, which fully considers the relationship between users, the transmission relationship between users and microblogs, and the forwarding relationship between microblogs. At the same time build the user-microblog mode diagram. The design of the thesis is also more in line with the information dissemination mode of the actual Weibo platform. Experiments prove that MURank can effectively solve the impact of “zombie powder” and “level sinking” problems, and more realistically reflect the level of influence of users. Secondly, the paper combines …BP neural network algorithm to improve the QoE hierarchical index system, and proposes a five-level index model. The mobile video service is taken as an example to illustrate the establishment process of the indicator system and the QoE quantitative evaluation method. By verifying on the open source distributed platform Hadoop platform, it is found that the proposed method is a solution to deal with massive data analysis. Show more

Keywords: Subjective perception, big data mining technology, microblog user behavior analysis, MURank algorithm, QoE hierarchical indicator system

DOI: 10.3233/JIFS-179484

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 2, pp. 1225-1234, 2020

Authors: Ji, Chengzhang | Lu, Shanqun

Article Type: Research Article

Abstract: Maritime transportation is the main traffic mode of globalization, accounting for about 90% of the proportion of global trade. Maritime safety is an important problem of marine transportation. Therefore, it is very important to set up the ship abnormal real-time monitoring system. In order to realize the real-time monitoring of abnormal data in the course of ship driving, a hybrid single classification framework based on depth learning is designed. DDBN-OCSVM framework uses the deep network to solve the problem that complex high-dimensional data are difficult to reduce and learn. The single classification algorithm is used to avoid the impact of …data imbalance on the results of ship real-time monitoring anomaly detection. Finally, the experimental analysis and discussion of the data are carried out. The experimental results show that DDBN-OCSVM can effectively reduce the detection error under the accelerating effect of GPU and cuDNN. The DDBN-OCSVM algorithm proves that the unsupervised feature learning and hierarchical representation are effective and feasible. It is also proved that it is feasible to apply this deep learning mode to real-time monitoring of ship anomalies. Show more

Keywords: Deep learning, abnormal monitoring, DDBN-OCSVM algorithm

DOI: 10.3233/JIFS-179485

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 2, pp. 1235-1240, 2020

Authors: Zhang, Qing | Chang, Neng | Shang, Kai

Article Type: Research Article

Abstract: In order to enable the students to experience the actual engine room working environment, have a full understanding of the Marine ship equipment, and have the same operating experience as the working environment in the real ship cabin to improve the effect of education and training, the rudder cabin of a Dalian ocean 10000-ton super large oil tanker “Yuanshan lake” is used as the virtual design object. First, the mathematical model of the rudder is set up on the basis of introducing the related concepts of the ship system. Then, the layout of the actual cabin is analyzed, and a …complete three-dimensional model of the rudder cabin is established with 3ds Max. Finally, the three-dimensional model of the cabin is introduced into the virtual reality engine Unity3D, which realizes the interactive operation of the cabin equipment. An extended user interface is designed to complete the generation and release of the final virtual scene program. The research and design of this subject has certain reference significance in applying virtual reality technology to the various different compartments of the whole ship and broadening its application to different ship types. Show more

Keywords: Ship engine room, virtual reality technology, ship system

DOI: 10.3233/JIFS-179486

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 2, pp. 1241-1247, 2020

Authors: Lv, Shenmin

Article Type: Research Article

Abstract: In order to process massive Marine Ship Automatic Identification System (AIS) data in real time and extract the required information from it used for subsequent data mining and rule extraction, based on big data background, cloud computing and distributed technology are applied, and combined with data mining methods, the massive AIS data mining platform is designed and realized, and the ship trajectory is analyzed with big data. The research results show that the cloud computing distributed technology AIS data mining platform studied is feasible, which has practical value and significance.

Keywords: AIS data, cloud computing, distributed technology, big data

DOI: 10.3233/JIFS-179487

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 2, pp. 1249-1255, 2020

Authors: Duan, Aixia | Zhihuang, Yong | Duan, Yanling | Wang, Qiuhong

Article Type: Research Article

Abstract: In order to study the heat exchanger simulation and recovery device design of waste heat boiler of gas turbine generator set on Ocean platform, the theory of thermal cycle of gas turbine and the principle of steam turbine are introduced. The waste heat of exhaust gas of a certain type of gas turbine generator set on Ocean platform is taken as the object, to design the waste heat recovery device of this type of gas turbine generator set. According to the characteristics of the selected waste heat boiler, the mathematical model is reasonably simplified, and the steady-state simulation model of …the waste heat boiler is established by using the computer simulation software, thus forming the whole model of the waste heat boiler. It is attempted to recover the waste heat from the exhaust gas of gas turbine generator set in Ocean platform by using gas-steam combined cycle power generation, which has certain reference significance for the design, application and improvement of a common gas turbine waste heat recovery device on Ocean platform. The established steady-state model simulation model and thermal efficiency calculation model have good accuracy, and have a certain auxiliary role in design calculation and performance research. Show more

Keywords: Gas turbine, waste heat recovery, waste heat boiler, combined cycle

DOI: 10.3233/JIFS-179488

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 2, pp. 1257-1263, 2020

Authors: Qi, Long

Article Type: Research Article

Abstract: In order to complete the loading operation in a short time, the genetic algorithm was improved, and the improved mechanisms such as the total crossover of the population and the distributed dynamic penalty function method were proposed. The distribution of ballast water in barge stowage was optimized. The calculation of the ship’s floating state, stability, the check of the program strength, and the improvement of the genetic algorithm were discussed. By simplifying the model, all ballast water tanks were involved in the stowage, so as to better meet the limitation of tide level, tank capacity and strength. A more adaptable …load optimization solution was obtained. The results show that the improved genetic algorithm has shorter time and higher efficiency than the basic loading scheme. The improved genetic algorithm was used to optimize the barge loading plan, which met the engineering requirements and shorten the working time of the barge. Therefore, the research on the improved genetic algorithm can effectively improve the quality and reliability of the project, which is beneficial to improve the scientific, safety and reliability of the barge loading operation. This program has important implications for marine engineering. Show more

Keywords: Genetic algorithms, offshore platform, barge, stowage

DOI: 10.3233/JIFS-179489

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 2, pp. 1265-1271, 2020

Authors: Zhang, Yan | Liu, Juan

Article Type: Research Article

Abstract: In order to improve the accuracy of the mechanical key component model constructed by 3D laser scanning and reduce the economic loss to the marine port, the factors affecting the accuracy of 3D laser scanning were studied. By studying the error of the instrument, errors related to the target object, errors caused by external environmental conditions, errors caused by human operations, and errors caused by different measurement methods were discussed. In view of the errors caused by different measurement methods and different measurement methods for different parts, the scanning experiment was carried out and the obtained data was analyzed. A …method of improving the scanning accuracy was proposed, which made the three-dimensional scanning more accurate. This method was applied to the design of key part structures for marine port machinery. The results show that the research in this paper can help designers accurately and completely obtain 3D point cloud data of mechanical key parts, improve scanning accuracy and reconstruct 3D model. Therefore, according to the application prospect of 3D scanning technology and the status quo in China, it is of great practical significance to study the accuracy of 3D laser scanning technology. Show more

Keywords: Three-dimensional laser, scanning technology, marine port, mechanical parts

DOI: 10.3233/JIFS-179490

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 2, pp. 1273-1279, 2020

Authors: Wang, Quan | Wang, Changyuan

Article Type: Research Article

Abstract: In order to prove the practical application of intelligent AGV (Automated Guided Vehicle) in port, the special requirements of port AGV are analyzed, BP (Back Propagation) network algorithm is improved, AGV road sign recognition system and AGV visual system are established, and finally the recognition accuracy and response speed of visual system are tested through experiments. The results show that the characteristics of AGV can meet the complex port conditions, and prove that the improved algorithm has good practical application value, as well as good recognition rate and accuracy of the visual system height. This will be of positive significance …to the future research on the application of port AGV system in China. Show more

Keywords: Visual system, BP algorithm, AGV system

DOI: 10.3233/JIFS-179491

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 2, pp. 1281-1285, 2020

Authors: Liu, Xue | Wang, Xiaowei | Yang, Zhaosheng

Article Type: Research Article

Abstract: The paper adopts the improved ViBe algorithm, and initializes the background sample according to the original algorithm. Using the idea of image binarization, the current frame image is subjected to the foreground detection of the traditional ViBe, and then the second judgment is made according to the number of times the target is judged, and the original is changed. The fixed background factor in the algorithm background update strategy increases the background update probability during shadow elimination. Experiments show that the method can eliminate shadows in time and improve the accuracy of motion vehicle detection in different scenarios. At the …same time, the paper designs a multi-lane traffic flow monitoring system based on improved ViBe algorithm combined with IoT ZigBee technology. The flow monitoring accuracy of the algorithm is verified. Show more

Keywords: Ligent traffic, traffic flow detection, ViBe, background subtraction, ZigBee IoT technology

DOI: 10.3233/JIFS-179492

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 2, pp. 1287-1298, 2020