Journal of Intelligent & Fuzzy Systems - Volume 38, issue 2
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ISSN 1064-1246 (P)
ISSN 1875-8967 (E)
Impact Factor 2024: 1.7
The purpose of the Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology is to foster advancements of knowledge and help disseminate results concerning recent applications and case studies in the areas of fuzzy logic, intelligent systems, and web-based applications among working professionals and professionals in education and research, covering a broad cross-section of technical disciplines.
The journal will publish original articles on current and potential applications, case studies, and education in intelligent systems, fuzzy systems, and web-based systems for engineering and other technical fields in science and technology. The journal focuses on the disciplines of computer science, electrical engineering, manufacturing engineering, industrial engineering, chemical engineering, mechanical engineering, civil engineering, engineering management, bioengineering, and biomedical engineering. The scope of the journal also includes developing technologies in mathematics, operations research, technology management, the hard and soft sciences, and technical, social and environmental issues.
Abstract: This special issue of the Journal of Intelligent & Fuzzy Systems contains selected articles of Fuzzy Systems in Distributed Sensing Applications. It is also containing a collection of interested topics that reflect the latest innovations and research advancements in Innovative Computing, Intelligent Systems, Communication, and Engineering.
Abstract: Group animation is a technology that simulates group behavior by computer. It matures with the continuous development of computer graphics. The things that need to be described are expressed in the form of anime, which not only clearly reflects the process of the event, but also shows a more realistic picture, and can also increase the cognitive range of group behavior to a certain extent. Based on the analysis of the advantages and disadvantages of artificial fish swarm algorithm, this paper improves the research on artificial fish swarm algorithm, and it is easy to fall into local optimum, and it…is improved by using convergence and divergence behavior in social learning mechanism., to some extent, improve the search performance of the algorithm. Based on the collision detection and avoidance, the improved artificial fish swarm algorithm is used to plan the group behavior path, and the obtained path data is imported into Maya. The tools provided by Maya will be used to establish the characters, 3D scenes and planning. The paths are merged together to get the corresponding group animation effects.
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Keywords: Artificial fish swarm algorithm, group animation design, intelligent algorithm, 3D scene
Abstract: This article has been retracted, and the online PDF has been watermarked “RETRACTED”. The retraction notice is available at https://doi.org/10.3233/JIFS-219326 .
Abstract: As a communication tool, social networks have become an important part of people’s daily lives. The proliferation of data in the big data era has spurred waves of research. Twitter is one of the most popular sites among all social network platforms. Twitter API allows researchers to easily study user behaviour and influence. In this paper, we use data obtained through the Twitter API to study the influence maximization problem based on the relationship graph of the social network and information dissemination model. In the current independent cascade propagation model, the influence weights between nodes are based largely on the…fixed-value assumption and the randomized probability of acceptance; however, this does not conform to real life. The influence weight between users is closely related to the strength of relationships, content of communication, and so on. Focusing on user relation-ships, we introduce an improved weighted cascade mode combined with a heuristic algorithm to find an approximate solution to the problem of influence maximization. Example analysis indicates that the improved weighted cascade model can obtain a more significant and influential node set compared to conventional methods.
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Keywords: Social network, user behaviour, user Influence
Abstract: Human emotion is an extremely complex social phenomenon that dominates many social phenomena. The paper proposes a method of emotional modeling in the context of complex systems based on the container model, which is more intuitive and can be solved than the conventional emotional modeling methods. Meanwhile the container algorithm also has the advantages of high parallelism, so it has practical significance for the simulation and analysis of emotions.
Keywords: Artificial emotion, container algorithm, STMS model
Abstract: With the daily release of the huge amount of new information, the web information such as video, image, audio and text information is growing dramatically. Most of this vast information changes over time. It may become ineffective, obsolete and worthless, and even affect user’s understanding of web information, degrade their experience. Therefore, analyzing this temporal-sensitive information in multimedia is a vital issue. To this end, this paper analyses the temporal sensitivity of multimedia web information to find what kind of information is temporal-sensitive, how this information is responsive to time, and how to evaluate the temporal sensitivity of information. We…start with four types of features, that is time, content, user behavior and related multimedia news, then set up a triple model to depict news. By establishing the energy transfer relationship between news and related and similar news, time, and user behavior, we measure the energy, and use the change ratio of energy as the temporal sensitivity of news. The data set is a multimedia news corpus, including video, image and text news. In the experiment, we take the users’ comments as the validation set. The result basically matches the validation set, and it shows our metric is reasonable.
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Keywords: Big data analysis, temporal metric, temporal sensitivity, multimedia news
Abstract: The paper uses BP neural network method to analyze the behavior preference of web users to achieve user behavior clustering, help advertisers to find online advertising design and optimize web design. At the same time, the paper analyzes the user preference cluster analysis, which helps users to find the desired webpage and content more conveniently, shorten the retrieval time and improve the retrieval efficiency. Firstly, the paper analyzes the log files of the web server, and then conducts session classification, finds the frequent data from the session vector, and normalizes the generated pattern vector. The BP SOFM model is used…to cluster the user behavior preferences to generate users. Clustering. The experimental results show that BP neural network analysis method can effectively analyze user preferences and cluster user behavior.
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Keywords: BP neural network, cluster analysis, web user preference analysis, SOFM
Abstract: The Three Gorges ship lock, as one of the world leading navigational architectures, plays a significant role in the inland water transport of China. The rapid development of marine transportation increases great pressure on the maritime monitoring and administration in the ship locks. Hence, it is essential to explore the navigational risk factors. This study proposes a new dynamics model to investigate the evolution mechanism of navigational risk in Three Gorges ship lock. Intelligent expert system was used to analyze the risk factors. Experimental validation results demonstrate that the weather may impact the ship navigational safety with a high risk…probability. Meanwhile, the navigational risk in flood season is relatively higher than that in dry season due to the increase of flow velocity and rain fall. The present study may provide useful insights to the evolution of inland navigational risk as well as maritime administration in the Three Gorges ship lock.
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Keywords: Ship lock, intelligent expert system, data mining, field data, navigational risk
Abstract: With the rapid development of the Internet, the current Web has become the main platform for people to publish and retrieve information. How to quickly and accurately find the information required by users in a large amount of network information resources has become an urgent need of the people. Web crawlers are research fields that appear to meet this demand. Based on this, the paper designs and implements a distributed web crawler system based on the existing research work, and its goal is to provide high quality data support for the network public opinion system. The web crawler system designed…and implemented in this paper solves the problems of low efficiency, poor scalability and low automation of single-machine crawlers, which improves the speed of webpage collection and data extraction precision and expands the scale of webpage collection. At the end of the article, the system related interface screenshots and test results are displayed. It can be seen from the test results that the crawler system can effectively collect dynamic web pages, and the result of automatic extraction of web pages has high precision, and also realizes the entire crawling system.
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Keywords: Big data, Baidu crawler technology, data retrieval, dynamic page
capture, automatic navigation browsing