Journal of Computational Methods in Sciences and Engineering - Volume 23, issue 2

Article Type: Other

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 2, pp. 571-571, 2023

Authors: Cheng, Bojing | Ji, Haonan | Wang, Ying

Article Type: Research Article

Abstract: High definition map is a map used for automatic driving. Its absolute precision is sub meter level, that is, the error between the position of an element on the map and the position of the element in the real world is less than 100 cm. In addition, compared with ordinary maps, high definition maps contain more geographic information, such as road width, slope, curvature, etc. At present, high definition roads map construction is largely for the main traffic road. However, there are few studies on the construction of high definition forest roads map for forestry production and management. Thus, it …is imperative and helpful to explore an efficient and low-cost method for constructing high definition forest roads map that can provide accurate basic map services for forestry management activities. In this study, firstly, the DJI Phantom 4 RTK UAV was used for aerial photography to obtain the forest oblique images. Then, combined with close range photogrammetry, the high-resolution images under the forest are acquired and generated into dense point cloud images. Next, the two images are fused using iterative closest point (ICP) algorithm combined with manual registration; Finally, the fine-grained 3D scene model is generated by using the Context Capture 3D modeling software, based on which a high definition forest roads map was constructed using human-computer interaction model. Taking Menggongshan Forest Farm as an example, the construction of the fine 3D scene model was carried out to solve the problem of loopholes and ambiguities of the road model under forest, based on which the high definition forest roads map was constructed. To evaluate the accuracy of the forest roads map, the accuracy check was conducted. The results showed that the point position on the forest roads map, compared to the actual point, had a medium, minimum and maximum error of 0.076 m, 0.020 m and 0.170 m in plane, respectively, a medium, minimum and maximum error of 0.122 m, 0.005 m and - 0.214 m in elevation, respectively. The accuracy of the high definition forest roads map meets the need of forestry production and management activities. It is feasible to adopt the method of UAV oblique photogrammetry combined with close-range photogrammetry, fine 3D scene model construction and human-computer interactive for constructing high definition forest road map. And this method can provide a low-cost and high-efficiency way for constructing high definition forest roads map, and also can better provide basic map data for forest management activities. Show more

Keywords: High definition map, forest road, cartography, Menggongshan Forest Farm, forest

DOI: 10.3233/JCM-226621

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 2, pp. 573-587, 2023

Authors: Xiao, Huijun | Jiang, Ensong | Xi, Guangliang

Article Type: Research Article

Abstract: The feature extraction of Gaofen-2 Remote Sensing Image (RSI) has problems such as poor extraction accuracy and large noise reduction error. Therefore, this paper designs an RSI feature extraction method based on high score 2 wavelet transform (WT). The RSI is collected with the help of Gaofen-2 satellite and high-resolution remote sensing technology, the key points of the image are determined through the Gaussian difference scale space, and the key points of the edge are judged by the peak curvature value of the difference function at the edge junction, so as to complete the RSI acquisition. Specific filtering and spatial …domain transformations are used to remove image noise and improve the quality of RSI. The mean shift (MS) algorithm is used to iteratively find the area with the most dense sample points in the RSI space, complete the image analysis, and realize the preprocessing of the high score 2 RSI. The linear features of the RSI are determined by the WT algorithm, and the image threshold is set for feature extraction of the high score 2 RSI. The experimental results show that in the RSI noise reduction error analysis of different methods, the noise reduction error curve of the sample RSI of the method proposed in this paper has the lowest trend, which is always lower than 2%. Compared with the two methods proposed before, the error is higher. At the same time, in the accuracy analysis of key point feature extraction, the proposed scheme has better accuracy. Therefore, it can be seen that this method has better comprehensive performance, and the proposed method can effectively improve the feature extraction accuracy of RSI and reduce the noise in RSI. Show more

Keywords: WT, high score 2 RSI, feature extraction, peak value of difference function, mass spectrometry algorithm

DOI: 10.3233/JCM-226604

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 2, pp. 589-603, 2023

Authors: Zhao, Wei | Zhang, Shuai | Li, Xin

Article Type: Research Article

Abstract: The widespread development of big data and artificial intelligence technology has brought a new development path to digital media technology at this stage. By applying virtual reality technology to multiple areas of digital media, digital media technology has fully demonstrated the actual ability of the scene structure of virtual reality technology in film and television production, game scene settings, urban planning, construction tourism and other industries. The development of digital media technology has brought new development space. The application of virtual reality technology can further shorten the distance between customers and information providers, bring the development of digital media technology …into a new fast lane, and further increase the efficiency of digital media information dissemination. This article uses data analysis methods to build an evaluation model, study virtual reality technology in terms of technological coverage, and further proves by data theory that virtual reality technology brings a new direction and role in the development of digital media technology. Show more

Keywords: Big data, artificial intelligence, virtual reality, digital media, impact research

DOI: 10.3233/JCM-226611

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 2, pp. 605-615, 2023

Authors: Yue, Junping

Article Type: Research Article

Abstract: With the development and progress of various sensors, the Internet of Things technology has continued to penetrate into people’s lives. Successful application cases of the Internet of Things technology have been seen in various industries. Some scholars have begun to try to apply the Internet of Things technology to the management of various industries. Deep learning technology belongs to the category of artificial intelligence technology. Its main goal is to combine a large number of training samples to train the trained object into an object that can learn sample patterns independently. At present, deep learning has a large number of …applications in various intelligent operations and key intelligent recognition fields. Due to the characteristics of its learnable training set, deep learning techniques are often used in the direction of decision analysis. The research adopts a combination of questionnaire survey and modeling analysis to explore the construction of in-depth learning methods for enterprise management intelligent decision-making in the context of the Internet of Things. The research was conducted by telephone interview and online questionnaire, and was supported by nearly 100 technical backbone personnel from 25 large enterprises. The research finds that applying the Internet of Things and deep learning technology to enterprise intelligent management decisions can improve the decision-making accuracy of enterprises, and also provide enterprises with more significant decision-making analysis advantages in the industry competition. This paper first describes the concepts of the Internet of Things, deep learning and intelligent decision-making of enterprise management. Then, in order to sort out the problems existing in the current intelligent decision-making of enterprise management, the author conducted interviews and questionnaires. Through the analysis of the questionnaire data, he found the problems existing in the current intelligent decision-making of enterprise management. Finally, he designed a new strategy of intelligent decision-making of enterprise management based on the Internet of Things and deep learning technology, through the simulation and subsequent investigation and analysis of the newly designed strategy. It is found that the enterprise management intelligent decision-making method designed by combining the Internet of Things and deep learning technology is superior to the traditional enterprise decision-making method in all aspects. The design of the system has been reformed mainly from the aspects of human resource management, digital file management and real-time monitoring of production and operation, so that the popularity of the enterprise’s comprehensive information management has reached 84.2%, the efficiency of intelligent decision-making increased by 28.7% on average. The achievements of the research not only prove the role of IoT technology in promoting enterprises’ in-depth learning, but also put forward new ideas for enterprises’ scientific decision-making. Show more

Keywords: Internet of Things, deep learning, enterprise management, intelligent decision-making

DOI: 10.3233/JCM-226613

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 2, pp. 617-627, 2023

Authors: Sui, Lijuan | Zhang, Zhe | Zhang, Xuzhi

Article Type: Research Article

Abstract: With the gradual urbanization of the countryside, people’s lifestyles have also undergone tremendous changes. Most people tend to live in the countryside, and people also choose tourist attractions with a rural flavor when traveling. This social background continues to promote the development of rural eco-tourism. develop. While the development of rural eco-tourism is driven by the dividends of the times, it may also be affected by various factors and lead to operational difficulties. In order to keep rural eco-tourism scenic spots in a profitable state, a comprehensive evaluation of rural eco-tourism has become the focus. The method of comprehensive evaluation …of rural ecotourism is mainly completed by combining AI algorithms, big data and other auxiliary tools. However, due to the variety of evaluation-related factors involved in the comprehensive evaluation of rural ecotourism, the above evaluation methods cannot fully take into account the rural areas. All aspects of the comprehensive evaluation of ecotourism, so it is necessary to use a method that can complete an effective comprehensive evaluation with less evaluation-related factors to conduct a real evaluation of rural ecotourism. The grey clustering evaluation model is an evaluation method evolved on the basis of the research of Chinese scholars. It can classify and predict the categories according to some characteristics of the clustered objects, which effectively solves the inaccuracy and considerations existing in various current evaluation methods. Incomplete situation. This paper firstly sorts out the grey clustering method and related concepts and theories of rural ecotourism data. After a detailed analysis, and then combined with the gray clustering model to improve the algorithm, an evaluation method with better performance than the traditional gray clustering method was designed. It is found that the improved grey clustering method has more advantages than the method of AI algorithm, big data algorithm and other auxiliary tools for comprehensive evaluation of rural ecotourism. Show more

Keywords: Grey clustering, rural ecotourism, comprehensive evaluation

DOI: 10.3233/JCM-226617

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 2, pp. 629-638, 2023

Authors: Xiang, Shiqian

Article Type: Research Article

Abstract: The visual communication design and application under Big data and Artificial intelligence technology have developed widely, and the demand for comprehensive talents is getting higher and higher. This study conducted a wide range of investigations through the actual situation of visual design applications under Artificial intelligence and Big data technology, and conducted in-depth analysis of the status and existing problems in the entire visual communication design, comprehensively using data analysis methods, and designing the design process. Among them, the effect of technical coverage is in-depth evaluation, and an effective analysis of Artificial intelligence technology has promoted the role of visual …communication design. In the entire design process, the deficiencies and shortcomings of existence have been adopted to laid a more solid foundation for the extensive development of the design. The research combines data analysis and modeling calculation. Through the comparison of several data in the field of visual communication in the era of Artificial intelligence in recent years, it summarizes the internal laws of its development, and then assigns values to various influencing factors through modeling. So as to explore a more optimized development direction and strategy. Show more

Keywords: Big data, Artificial intelligence, visual communication design, application research

DOI: 10.3233/JCM-226627

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 2, pp. 639-649, 2023

Authors: Lv, Hua

Article Type: Research Article

Abstract: In the background of the widespread development of big data technology, the actual behavior of e-commerce consumers is affected by different consumer environment and consumer demand. This article conducts in-depth inquiry and analysis of the behavior of different e-commerce users, and more accurately conducts a comprehensive analysis and effective assessment of various factors that affect consumer behavior. The factors and measures of consumer behavior are comprehensively judged to get the evaluation model closer to consumer behavior. By conducting a comprehensive full-process research on different e-commerce platforms, consumer behavior, consumption habits, and consumption processes, a comprehensive full-process research, more effective channel …methods and dependence on consumers’ purchase of goods, conduct a comprehensive research other factors of behavior, such as transportation logistics, environmental conditions, advertising, and other factors, conduct comprehensive judgment and analysis, and provide important theoretical basis and certain research in order to promote and improve the orderly development of consumer behavior and e-commerce environment. The research adopts modeling and analysis methods, through the evaluation of the research model, it can be seen that under the background of big data, e-commerce consumer behavior presents the trend of data, diversification and complexity. Factors affecting consumer behavior are more diverse and complex. It effectively expands the research field of e-commerce consumer behavior analysis, and provides scientific reference for the development of e-commerce. Show more

Keywords: Big data technology, e-commerce platform, consumer, consumer behavior, analysis and research, online shopping platform, e-commerce users, behavior, data mining

DOI: 10.3233/JCM-226628

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 2, pp. 651-661, 2023

Authors: Wang, Yongke

Article Type: Research Article

Abstract: The engineering project warehouse can combine various sensor devices and smart devices under the Internet of Things technology to realize the convenient management of the warehouse. The Internet of Things technology combined with the machine learning model can make various industries transform to intelligence. The use of IoT technology and machine learning models for warehouse management can achieve an unattended warehouse effect. The Internet of Things has gradually developed into the intelligent technology that attracts the most attention in various industries with the advancement of electronic components required by various sensors. Combining various sensor devices and smart devices under the …Internet of Things technology to achieve convenient management of warehouses, its intelligent management of warehouse security, environment, fire protection, energy consumption, etc. can save a lot of manpower and material resources, and improve the project warehouse, Utilization of supplies. Machine learning technology is a new type of computer self-learning technology produced along with artificial intelligence technology, which can combine the corresponding algorithm and the definition of the developer to realize the learning of the defined transaction. Because the way of this operation is similar to the human learning ability, machine learning Warehouse management for engineering projects will maximize the unattended effect of the warehouse. The research adopts a combination of questionnaire survey and modeling analysis. At first, analyzes the current demand points of engineering project warehouse management in various industries through a questionnaire survey, and designs the Internet of Things auxiliary scheme for engineering project warehouse management according to the demand points. The IoT-assisted machine learning model compares the IoT engineering project warehouse management solution without machine learning model with the IoT engineering project warehouse management solution with machine learning. It is found that the solution with machine learning model can effectively improve the engineering project warehouse management. abilities in all aspects including the effective utilization rate of necessities, manpower saving and safety accident control, which proves that the research has high use value. Show more

Keywords: Engineering project, warehouse management, Internet of Things, machine learning

DOI: 10.3233/JCM-226630

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 2, pp. 663-673, 2023

Authors: Wang, Yungang

Article Type: Research Article

Abstract: In daily life, English is increasingly used in various scenarios, and the technology of translation using machines and others is gradually maturing, but there are still cases of inaccurate translation. To enhance translation’s accuracy, this study optimizes the method of fuzzy semantic selection, and then optimizes the method of domain analysis combined with neural networks to improve the accuracy of machine translation in different domains. The accuracy of the optimized neural network tends to be stable when the number of iterations is 15, the accuracy is 0.96, the accuracy of the traditional neural network is 0.91, and RNN is 0.82. …Compared with the benchmark system, the bilingual mapping model has increased by 0.67% in the news field and 0.56% in the education field. The precision, recall and F value of machine translation are 93%, 86% and 0.8 respectively. The comprehensive experimental results show that the selection method based on fuzzy semantics, combined with the domain analysis method of network neural, can remarkably enhance the accuracy. Show more

Keywords: Machine translation, fuzzy semantics, neural network, multisemantics, domain analysis, bilingual mapping

DOI: 10.3233/JCM-226635

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 2, pp. 675-687, 2023

Authors: Wu, Qianqian | Chen, Zhiyuan

Article Type: Research Article

Abstract: The reform of public hospitals is a complex process, involving multiple subsystems and the interaction of related factors. This paper conducts a preliminary evaluation of the joint reform of medication, medical care, and medical insurance in Sanming using quantitative and qualitative methodologies. The method of system dynamics is applied to model the three subsystems of medication, medical care, and medical insurance in Sanming and analyze the cause-and-effect relationship between different factors in the subsystem. Based on the analysis, the evaluation index is determined to evaluate the effect of the medical reform in Sanming. The analysis results show that Sanming’s public …hospitals have experienced a comprehensive reform that includes changing the way pharmaceuticals are procured, cutting prescription prices, and raising hospital worker wages. To maximize the hospital revenue structure, the medical insurance payment system was changed. The expense of patient therapy was reduced, and the development of hierarchical diagnosis and treatment was encouraged. Show more

Keywords: Public hospital reform, system dynamics, cause-and-effect diagrams

DOI: 10.3233/JCM-226637

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 2, pp. 689-703, 2023

Authors: Zhuo, Wen | Wang, Yong

Article Type: Research Article

Abstract: As the new crown epidemic has gradually become a normalized disease similar to the flu, people are paying more and more attention to remote work and learning. Companies such as meta have spotted the development of the remote social track, and positioned the overall development direction of the company as the research and development of the metaverse virtual space. During the epidemic, the school’s population base was large, and the students’ demand for distance learning was also large. In the current distance teaching, students’ sense of participation, concentration, and learning effect were poor. With meta company’s all-round research on virtual …technology, VR and other technologies are rapidly being applied in various industries. Among them, the application of VR technology to the creation of virtual classrooms has become a research hotspot in academia, but the probability of exposure of students’ personal information to virtual classrooms how to ensure the security of students’ information while carrying out efficient teaching in virtual classrooms is the focus of this paper. This paper first introduces VR and blockchain technology and their corresponding applications, and then uses a questionnaire to obtain the current information security issues and teaching atmosphere of distance learning, and summarizes the current distance learning for students and teachers according to the questionnaire. needs and actual problems. Finally, combined with the characteristics of VR virtual technology, a virtual classroom is designed to solve the current problems of distance learning. After a simulation test, it was found that the distance teaching classroom using virtual reality technology can achieve the same or even better teaching effect than the traditional offline classroom. Show more

Keywords: Distance learning, virtual classroom, teaching, atmosphere

DOI: 10.3233/JCM-226609

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 2, pp. 705-714, 2023

Authors: Yao, Yue

Article Type: Research Article

Abstract: Big data and the idea of the Internet of Everything have become popular technologies at the moment. The application of these two technologies has also promoted the development of various industries. The education and training industry is the focus of the country and the public. Piano education is the cradle of artists. The application of Internet of Things technology to the piano education industry will help to upgrade the industry teaching model. In order to investigate the current situation of online and offline hybrid teaching in piano education, this paper uses the method of questionnaire distribution to conduct a survey …on teachers and students in 50 colleges of music and music training institutions. It was found that after using big data and Internet of Things technology to innovate the online and offline hybrid teaching mode of piano education, so the teaching efficiency of teachers and the learning effect of students have been greatly improved. Show more

Keywords: Big data, education and training industry, internet of things technology, online and offline hybrid teaching

DOI: 10.3233/JCM-226640

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 2, pp. 715-724, 2023

Authors: Cao, Li | Zhou, Jun

Article Type: Research Article

Abstract: With the continuous progress of data science, big data technology has been continuously integrated into human daily life. The application of big data technology in the field of education to improve the teaching and learning efficiency of teachers and students has become the focus of current scholars. With the popularization of the concept of the Internet of Everything, the Internet of Things technology has gradually become a hot spot for technology fans. It is widely used in home and body-worn devices. Applying the Internet of Things technology in the education field to obtain student status feedback data can make teachers …more accurately understand the goals of student learning. The continuous raging of the epidemic has led to the change of many courses from offline face-to-face teaching to home online teaching, which has brought about a huge change in the traditional offline face-to-face physical education teaching method. Therefore, in order to better protect against the epidemic and prevent the spread of the epidemic more effectively, X Academy responded to the country’s call to “suspend classes without teaching, and without stopping learning”, so that physical education courses other than other cultural courses will be conducted offline and face-to-face. Teaching has changed to online physical education. This paper firstly defines the concepts of big data, Internet of Things and online physical education teaching, and then conducts research on the current situation and countermeasures of online physical education teaching. Find optimized countermeasures, so that X College can get better teaching results when it conducts online physical education teaching again in the face of similar public health emergencies in the future, allowing students to exercise, improve physical fitness, enhance sports skills, and enhance their own resistance. power goal. The research method of this paper mainly adopts the data analysis method of questionnaire survey and statistics. Through the second survey, it is found that all aspects of online physical education teaching have been improved after adopting the improved strategy. Show more

Keywords: Online sports teaching, big data, Internet of Things

DOI: 10.3233/JCM-226589

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 2, pp. 725-735, 2023

Authors: Hou, Jie | Chen, Yiping

Article Type: Research Article

Abstract: The online gaming industry is now expanding, and under the guise of this, a problem that cannot be ignored is online gaming addiction among adults. Adults with severe addiction problems often spend money and sabotage their lives, careers, and relationships. Society must pay attention to and study the adult online gaming addiction problem and find corresponding solutions. Advances in deep neural networks have opened up new horizons for studying adult online gaming addiction. Through deep neural network analysis, the reasons why adults are addicted to online games can be better explained. Under the above background, in order to solve the …problem of adult game addiction, this study investigated the current situation of adult online game addiction, and established a deep neural network model for analysis to find out the deep reasons and feasible solutions. According to the calculation results of the model, solutions are proposed from the perspectives of the game itself, game players, players’ families and society. The solution emphasizes the self-regulation of the game itself, the player’s self-control and external help. Show more

Keywords: Neural network, online game, adult, online game addiction, psychological, marriage, work, social issues

DOI: 10.3233/JCM-226607

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 2, pp. 737-746, 2023

Authors: Zhang, Mengying

Article Type: Research Article

Abstract: As the scale of online socialization continues to expand, the amount of data generated by people’s social networking continues to increase, and data has gradually become the invisible wealth of various industries, and data analysis, as the main method to control data, has become a skill that must be mastered in the development of talents in various industries. Big data technology is a data storage and processing method based on data analysis technology. Prediction of the law of development of a certain thing and analysis of the success rate of a certain decision. Big data technology has played an important …role in the informatization of various industries, and its use in accounting informatization can bring more convenience to accounting work. Although artificial intelligence technology has only been born for less than a hundred years, the technical branches it has developed have been widely used in various industries. At present, the types of algorithms corresponding to artificial intelligence technology are still increasing, and the application of AI algorithms to the development of accounting informatization can make Accounting work is more intelligent, and its accuracy can be improved on the basis of greatly reducing labor costs. Putting the construction of accounting informatization in colleges and universities under the technical background of artificial intelligence and big data development can achieve more valuable breakthroughs in data collection and countermeasure optimization. This paper first analyzes the theories of big data, artificial intelligence and accounting informatization, and then obtains various problems existing in the development of accounting informatization construction in colleges and universities through questionnaires. By comparing the newly designed solutions with the traditional accounting informatization construction solutions, it is found that the accounting informatization construction solutions combined with big data and artificial intelligence can be used in accounting personnel training, accounting platform security hidden danger investigation and college accounting. Internal control and other directions are superior to the traditional accounting informatization construction plan. Show more

Keywords: Big data, artificial intelligence, accounting information construction

DOI: 10.3233/JCM-226623

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 2, pp. 747-757, 2023

Authors: Ye, Xianghu

Article Type: Research Article

Abstract: In order to improve the classification accuracy in the process of digital management of Library and information data, a method of information data management based on network analysis is proposed. First, based on the relevant theories of Library and information management, the target data set is obtained from the data source through data collection and extraction. Then the target data is preprocessed by cleaning, integration and transformation, so as to obtain the data set required for model construction. Finally, the network analysis method is used to establish the data evaluation model and management model, and to evaluate the availability of …data. Simulation experiments show that the internal consistency of the data processed by the proposed model is maintained at more than 75%, the accuracy of data classification is high, and the fit between the evaluation index and the evaluation model is maintained at more than 0.83, which can meet the requirements of practical application. Show more

Keywords: Library information, computer, social network analysis, intelligence data

DOI: 10.3233/JCM-226579

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 2, pp. 759-771, 2023

Authors: Chen, Dongya

Article Type: Research Article

Abstract: A routing model about mobile agent in sensor networks was drawn out, and an optimization problem of mobile agent static route was derived. In order to optimize the route of mobile agent, a target location algorithm in wireless sensor networks was proposed. All the sensor nodes which know target compete to get the mobile agent in order to track the location of targets. Competition rules are defined by the remaining value of the energy and the distance between the nodes and the target. Simulation results showed that this algorithm could provide less energy consumption compared to other schemes and prolong …survival cycle time. It balances the network energy, reduces the amount of data transmission in the network, reduces the network energy overhead, prolongs the lifetime of the entire network, and effectively reduces the network delay. Show more

Keywords: Wireless sensor networks, mobile agent, routing, target location

DOI: 10.3233/JCM-226580

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 2, pp. 773-780, 2023

Authors: Xu, Yufeng | Qiu, Jianfa

Article Type: Research Article

Abstract: The safe operation of bridges is a major issue related to the national economy and people’s livelihood. With the rapid development of the water transport industry, the problems of ship yaw and bridge collision avoidance occur frequently, which cause serious harm to the bridge structure and safety. However, the current bridge health monitoring system is difficult to feed back the monitored information in time, and in the process of collecting information by wireless sensors, information errors or missing problems easily occur, which hinders the normal monitoring of bridge health. With the rapid development of the Internet and the gradual maturity …of wireless sensor technology, how to achieve complete and effective collection and feedback of monitoring information has become a hot research topic and an urgent problem. Therefore, on the basis of Internet technology, this study perceives, collects and processes the ship information in the bridge monitoring area covered by the network through the wireless sensor network, uses the embedded wavelet neural network model to denoise the monitoring data, and finally transmits it to the data processing center, thus establishing a centralized remote real-time Long-span bridge health monitoring system based on the Internet. The experimental results show that the monitoring deformation displacement curve based on the Internet centralized remote real-time long-span bridge health monitoring system technology presents a stable fluctuation state. The cumulative shape variable fluctuates in the range of - 5 mm to 5 mm, indicating that the deformation trend of the bridge has always existed. Show more

Keywords: Internet centralization, remote real-time, long span bridge, health monitoring system, emergency alarm position

DOI: 10.3233/JCM-226588

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 2, pp. 781-797, 2023

Authors: Chen, Zhiyong

Article Type: Research Article

Abstract: In terms of high-speed optical access system, an optical access network system with low-cost and low-complexity based on PAM8 modulated signal is proposed to meet the growing demand of optical access network capacity. Based on the system scheme proposed, an experimental simulation platform of 10 Gbit/s PAM8 modulated signal optical access system is built. In this scheme of the system, the intensity modulation/direct detection (IM/DD) is used to achieve the modulation and demodulation of the signal, and the entire optical access link does not use additional signal amplifier components, reducing the complexity and cost of the system. According to the …experimental results, the BER of the received signal has slight changes within a certain transmission distance. And after 20 kilometers of transmission, when the BER of the received signal is close to 1e-4, the receiving sensitivity is lower than - 12 dBm. The proposed optical access system has good sensitivity and has good application prospects for future broadband access network. Show more

Keywords: PAM8 modulation, IM/DD, short-distance optical transmission, transmission performance, receiving sensitivity

DOI: 10.3233/JCM-226593

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 2, pp. 799-807, 2023

Authors: Wang, Wencheng | Tian, Guixian | Tao, Yongchao

Article Type: Research Article

Abstract: In view of the poor effect of traditional management methods, a quantitative model of financial risk management for forestry enterprises based on nonlinear differential equation is proposed. According to the definition of forestry enterprises, this paper analyzes the development status of forestry enterprises from the quantitative analysis and industrial analysis of forestry enterprises. This paper constructs a nonlinear differential equation model, and analyzes the risks faced by enterprises in operation. The specific application content is studied, and the quantitative model analysis of financial risk management of forestry enterprises is completed. The simulation results show that the management effect of this …method is good, which lays a foundation for the protection of forestry economy. Show more

Keywords: Nonlinear differential equation, forestry enterprise, financial risk, quantitative management model

DOI: 10.3233/JCM-226595

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 2, pp. 809-823, 2023

Authors: Liu, Tao

Article Type: Research Article

Abstract: Under the background of big data and the Internet of Things, different design elements in domestic architectural design are becoming more and more abundant. During the integration of different elements, traditional elements are an important part of the domestic building decoration industry. In the integration of the entire architectural style, it is integrated with the entire architectural style. It reflects the deep heritage of traditional culture. Many scholars have conducted in-depth research on this phenomenon, but how to better apply big data technology to promote the application of traditional elements in the field of architecture is still blank. This paper …establishes a scientific evaluation model according to the different proportions in the application of traditional architectural elements and its proportion in the external display of actual buildings, which opens up new ideas for research in this field. This article studies the application and development prospects of the traditional elements of the architectural decoration industry in my country, and explores the innovative development of traditional decorative elements in the modern architectural decoration industry. Study the development needs of modern aesthetic design in the current stage of the building decoration industry. Through the rich and innovative application survey of traditional elements, the vitality in modern architectural decoration that stimulates traditional culture, and continuously enriches the extensive development and innovative development of the domestic building decoration industry. Stimulates the importance of traditional architectural decoration elements. This article conducts statistics and analysis of the big data and decoration requirements of the domestic decoration industry, applies the computing and evaluation model in the field of architecture, and evaluates the application of traditional elements in the field of architectural decoration more coordinated development. Looking at the existing research results, they all put forward suggestions for development at a macro level, but there is a blank on how to choose the ratio of various traditional factors more scientifically. In order to solve this problem, the research has created a scientific calculation model. Traditional factors are used for assignment and big data is used for calculation, which provides new ideas for research in this field. Show more

Keywords: Big data, Internet of Things, traditional architectural elements, architectural decoration, inheritance strategy, application research

DOI: 10.3233/JCM-226596

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 2, pp. 825-835, 2023

Authors: Chen, Nan | Xiao, Ying | Liu, Zhijun

Article Type: Research Article

Abstract: In order to improve the signal processing effect and efficiency of Coriolis mass flowmeter, a signal processing system of Coriolis mass flowmeter based on time-varying signal model is designed. Based on the analysis of the structure and working principle of Coriolis mass flowmeter, the environmental factors affecting the performance of Coriolis mass flowmeter are discussed. Based on the above analysis, the signal processing environment is designed, including serial signal processing environment and dual core parallel signal processing environment. Then the effective signal processing of Coriolis mass flowmeter is completed from three aspects: initial processing, phase calculation and frequency tracking. The …experimental results show that after the time-varying signal model is applied, a complete signal frame can be collected in less than 50 ms in the pre-processing process, and the signal processing frame can be completed in less than 80 ms in the post-processing process. This shows that the signal processing time of the system is short, and the phase difference detection accuracy of the signal processing system based on the time-varying signal model is high, which is of great value to further improve the application effect of Coriolis mass flowmeter. Show more

Keywords: Time-varying signal, signal analysis, Coriolis mass flowmeter, signal processing, phase difference

DOI: 10.3233/JCM-226602

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 2, pp. 837-853, 2023

Authors: Xu, Feng | Shi, Huiwen | Wu, Xingdong | Li, Xinlin | Sun, Yong

Article Type: Research Article

Abstract: By using the fluidization technique and electromagnetic heating technique, this paper designed a new type solid electric regenerative device using quartz sand particles to store heat, completed the setting of experimental bench of fluidized bed regenerative device, and analyzed the heat storing and release properties of this regenerative device. The experimental results show that the fluidized bed regenerative device has a good heat storing and release performance. When the metal wall surface of regenerative device was heated by electromagnetic heating to 600 ∘ C and later kept at this temperature, the heat storing temperature of quartz sand …particle material can reach above 500 ∘ C after storing heat for 12 hours. After the 12-hour heat storing was finished, the total power of regenerative device’s heat storage obtained according to the temperatures of measuring points in fluidized bed and the physical properties of quartz sand can satisfy the design requirement. The 12-hour total effective heat release of this device is 29.5 kW⋅ h and its heat release per unit time is kept at 2–3 kW, indicating that this device has a stable and controllable heat release process and is of actual application value. Show more

Keywords: Regenerative device, fluidized bed, electromagnetic heating

DOI: 10.3233/JCM226485

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 2, pp. 855-865, 2023

Authors: Xia, Weihua | Kong, Dali | Zheng, Xiaolong

Article Type: Research Article

Abstract: Logistics industry is not only the link connecting economic activities, but also an important thrust to stimulate domestic demand. Under the development background of the new era, the high-quality development of logistics industry has become an indispensable force for high-quality economic development. Reasonable and effective evaluation is an important prerequisite to promote its high-quality development. Guided by the concept of high-quality development, it innovatively adds the dimension of logistics development resource cost. Based on the data of 31 provinces and cities in China from 2011 to 2019, in view of the limitations of projection pursuit, genetic algorithm and projection pursuit …are organically combined, which were used to measure the high-quality development level of China’s regional logistics and analyze its spatial distribution characteristics. The reliability and accuracy of the evaluation results are improved, and the spatial information nature is analyzed by spatial exploration The results showed that the most important dimensions affecting the high-quality development of the logistics industry were logistics carrying capacity and technological innovation support. During the study period, there were significant differences in the high-quality development of regional logistics. The average annual logistics industry in the three provinces of Guangdong, Shandong and Jiangsu had relatively high level of high-quality development. By contrast, the development level of the three provinces of Tibet, Qinghai and Hainan was relatively low. In general, although the high-quality development of the logistics industry was increasing year by year, showing a trend of high level in the eastern region, followed by central region, low level in the western region, the gap had not been effectively shortened. In addition, the high-quality development of the regional logistics industry had a significant positive geographical correlation, showing a trickle drop effect in space. Show more

Keywords: Logistics industry, high-quality development, accelerated genetic algorithm-projection pursuit, spatial layout

DOI: 10.3233/JCM-226460

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 2, pp. 867-885, 2023

Authors: Cai, Zengyu | Chen, Xi | Wang, Zhikun | Zhang, Jianwei

Article Type: Research Article

Abstract: The Ad Hoc networks solves the problem of quickly establishing a temporary Ad Hoc network without the need for fixed facilities. However, problems such as network performance degradation, delay increase, and link interruption are endless. Aiming at the problem of shortening the survival time of Ad Hoc networks nodes, this paper proposes an improved AODV routing algorithm EC-MAODV (Energy Consumption-Modification AODV) based on energy consumption. EC-MAODV takes energy as the starting point, determines the time extension based on the residual energy of the current node, balance the power consumption of each node, and extends the networks lifetime. The effectiveness of …EC-MAODV routing algorithm is proved by network simulator NS-3. The simulation results show that compared with the AODV routing protocol, the algorithm in this paper has more than 7% improvement and 19% increase in average delay and node lifetime. It can effectively prolong the life of the network, reduce the number of dead nodes, effectively solve the energy consumption problem of the wireless Ad Hoc network, and improve the overall performance of the network. Show more

Keywords: Ad Hoc networks, AODV, energy consumption, NS-3 simulation, EC-MAODV protocol, routing protocol, routing algorithm

DOI: 10.3233/JCM-226483

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 2, pp. 887-898, 2023

Authors: Fan, Yu

Article Type: Research Article

Abstract: In order to reduce the redundancy of the analysis process of UAV communication cyclostationary signal, a modeling and analysis method of UAV communication cyclostationary signal based on virtual reality technology is proposed. Using the VR technology, the 3D scene of UAV flight is reconstructed, and the mutual information and correlation dimension are obtained. Using the maximum negative entropy FastICA algorithm and non-cyclic stationary signal processing algorithm, the anti-jamming model of cyclic stationary signal processing is established by analyzing the signal compression performance and time delay of pseudo-random sequence. The experimental results show that there is no obvious signal fluctuation in …the time domain of the oscillation signal and the reconstruction results of the oscillation signal, and the amplitude fluctuation is not large. Show more

Keywords: Virtual reality technology, UAV communication, cyclostationary signal, anti-jamming

DOI: 10.3233/JCM-226458

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 2, pp. 899-911, 2023

Authors: Xiang, Meng | Mao, Fengfan | Xiao, Li

Article Type: Research Article

Abstract: At present, many schools in China have built digital language classrooms, using digital language teaching system to assist English teaching, and combining computer and network technology to promote students’ English learning. However, in order to integrate digital language teaching system into English teaching curriculum, teachers should design multimedia audio and video teaching materials, teaching strategies and learning activities in order to make the digital language teaching system and teaching complement each other. Then promote the professional development of teachers and learners’ learning motivation and effectiveness.

Keywords: Digital language teaching system, integrating english teaching, research

DOI: 10.3233/JCM-226491

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 2, pp. 913-920, 2023

Authors: Xu, Danning | Liu, Wei

Article Type: Research Article

Abstract: This paper studies stochastic asymptotic stability for stochastic inertial Cohen-Grossberg neural networks with time-varying delay. Firstly, the second-order differential equation is converted into the first-order differential equation by appropriate variable substitution. Secondly, the existence of the equilibrium point is derived by using homeomorphic mapping, finite increment formula of Lagrange mean value theorem and linear matrix inequality. The sufficient conditions for the stochastic asymptotic stability of the equilibrium point of the system are derived by defining the appropriate operator, and constructing the appropriate positive Lyapunov function and positive-definite matrix. Thirdly, a numerical example illustrates the correctness of these theorems.

Keywords: Stochastic inertial Cohen-Grossberg neural networks, Time-varying delay, Homeomorphic mapping, Linear matrix inequality, Stochastic asymptotic stability

DOI: 10.3233/JCM-226480

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 2, pp. 921-931, 2023

Authors: Qie, Yushi | Xie, Zhicheng | Ren, Shanchang

Article Type: Research Article

Abstract: Aiming at the problems of low accuracy and long time consumption of motion attitude information collection in the existing methods, a new automatic attitude capture method based on sensor information fusion is proposed. The line builds a motion attitude information acquisition architecture through five functional modules, including data acquisition and processing, laser sensor, data storage, voltage conversion and serial communication, to obtain motion attitude data. Then, the sensor image information collected by median filtering is processed, and the target image is obtained by fusing the binary image obtained by optical flow segmentation with the original image. Finally, the Mean-Shfit algorithm …and particle filter are used to track the human moving target, and the self-similar matrix is used to automatically capture the motion posture. Experiments show that the method has high recall and accuracy for the collection results of motion attitude information, the accuracy rate of automatic motion attitude capture is as high as 95.5%, the maximum capture time is 79 ms, the time consumption is short, and the practical application effect is good. Show more

Keywords: Sensor information fusion, sports posture, automatic capture, optical flow segmentation, mean-shfit algorithm, particle filter

DOI: 10.3233/JCM-226455

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 2, pp. 933-948, 2023

Authors: Guo, Yong

Article Type: Research Article

Abstract: In this study, a new blurred line enhancement scheme of computer art image based on Deep Reinforcement Learning (DRL) algorithm was proposed. The hard threshold method is adopted to remove the noise of computer art images and the blurred lines are extracted by texture separation method. Based on the line extraction results, the Deep Q-Network (DQN) model was built with DRL algorithm, and the sample images were input into the model, and the fuzzy line enhancement results of computer art images were obtained in the output layer. The proposed method exhibits excellent noise reduction effect, and the fuzzy line enhancement …quality of computer art image is good. The average enhancement time is 0.58 s, and the practical application effect is good. Show more

Keywords: DRL algorithm, computer art image, fuzzy line enhancement, texture separation, DQN model

DOI: 10.3233/JCM-226450

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 2, pp. 949-961, 2023

Authors: Qiu, Min

Article Type: Research Article

Abstract: With the increase of college students year by year, their academic performance has become one of the key directions of the majority of scholars. To find out college students’ academic performance, we take the student academic performance caused by the mutual influence between the dynamic change of research direction, building mathematical model, through the study of college students in all academic examination, was conditioned in college students, and must be rebuilt effect between college students, to determine the existence of the equilibrium point, This paper also introduces and analyses the stability of the variables similar to the basic regeneration number …in mathematical epidemiology, and gives the corollary of the existence of the latter branch. Considering the random influence of campus atmosphere on students and the uncertainty and lag of the influence mechanism among students, a time-delay stochastic model is constructed based on the mathematical model. Then, the quantitative analysis of these influences was carried out, and the relationship between them was found, and due efforts were made for the in-depth study of the academic performance of college students. Show more

Keywords: College students, academic performance, mathematical model, time-delay stochastic model, quantitative analysis

DOI: 10.3233/JCM-226473

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 2, pp. 963-973, 2023

Authors: Chen, JengHann | Wen, Kuo-Chung | Chang, YuTuan

Article Type: Research Article

Abstract: The transaction costs theory has been widely used in all business activities related to “transaction costs” since it was proposed by Ronald Coase in 1937. Before firms choose to enter the market, “transaction costs” will inevitably occur, which affects benefits. The rental housing market is a commercial market, and any external intervention will affect the resource allocation of this industry. This study explores the effects of the subsidies of the “rental housing subsidy policy” in Taiwan on the objectives of the rental housing policy by the transaction costs theory. This empirical study proves that policy objectives cannot be achieved by …fixed and equal subsidy models, and expects to provide a basic theoretical framework that can serve as a reference when measuring the application of transaction costs to the policy subsidy model. Show more

Keywords: Transaction costs, external diseconomy, policy subsidies, subleasing

DOI: 10.3233/JCM-226492

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 2, pp. 975-993, 2023

Authors: Xiong, Jianxin | Yin, Hui | Pan, Meisen

Article Type: Research Article

Abstract: In addition to a more extreme network experience and larger network capacity, 5G can also be used to rapidly transmit massive global text data at higher transmission speeds and higher reliability than previous communication technologies, allowing more communication devices around the world to operate at a faster rate. The transmission speed is safe and reliable to connect with each other. The rapid development of image recognition technology will be more effective in improving the operational efficiency of various industries. At present, scholars have used 5G technology and image recognition technology in the field of book management. This paper designs a …book image recognition recommendation scheme based on 5G technology, in order to improve the problems of inaccurate book sales targets and low book classification efficiency of merchants from various perspectives. The image recognition book recommendation system combined with 5G technology is mainly divided into two steps: image recognition and book recommendation. The ultra-high speed provided by 5G technology can greatly improve the speed and accuracy of image recognition. Significantly reduces program running time. This paper first analyzes the related concepts of 5G, image recognition and recommendation algorithm, then sorts out the book image recognition method, and then designs the book recommendation purchase method. Combined with 5G technology, the image recognition and recommended purchase strategy are optimized. Finally, an online questionnaire is used to investigate the merchants using this method. The survey results show that the merchants who use this identification and purchase recommendation method have better performance in book classification, book personality recommendation, customer loyalty and book sales rate have greatly improved. Show more

Keywords: Book recommendation, intelligent image recognition, 5G

DOI: 10.3233/JCM226469

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 2, pp. 995-1005, 2023

Authors: Chu, Lina

Article Type: Research Article

Abstract: In order to improve the accuracy of robot terminal pose tracking and the anti-interference performance of robot nonlinear motion path control, a nonlinear output feedback control method based on neural network is proposed. Construct the coordinate transformation matrix of the connecting rod, calculate the linear and angular velocity of the nonlinear motion of the robot, then calculate the sum of the kinetic energy of each connecting rod of the robot, and establish the motion equation of the robot. The structure of BP neural network is analyzed, and the motion equation is solved by BP neural network. Finally, a Fractional Order …PID controller is designed and BP neural network is constructed to control the nonlinear motion equation of the robot to complete the output feedback control of the robot. The experimental results show that the end attitude tracking error of this method is the smallest, and it best fits the actual nonlinear trajectory of the robot. It shows that this method can accurately track the end posture of the robot, and can still effectively control the trajectory of the robot in the interference environment. Show more

Keywords: Neural network, robot nonlinear output, feedback control, robot end pose, end pose tracking, nonlinear trajectory

DOI: 10.3233/JCM-226453

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 2, pp. 1007-1019, 2023

Authors: Guo, Rui

Article Type: Research Article

Abstract: In this paper, we propose a novel tracking system based on composite trend representation and historical portfolio data (CTRHP) for portfolio optimization (PO). In the part of obtaining prediction of price, we introduce the important data of historical portfolio, which is rarely utilized before, to improve the accuracy of measuring investment performance. In addition, we propose a set of correlation coefficient-based similarity measurement functions (CSMFs) to automatically assign different weights to different trend representations, which enables each trend representation to have an impact on future price predictions and set the strength according to their investment performance. In the part of …portfolio optimization, a new optimization objective based on generalized increasing factors is proposed to optimize the investment portfolio, and a fast solution algorithm is presented. Extensive experiments on six standard datasets from real financial markets across different assets and different time horizons show that our CTRHP achieves significantly better performance compared with previous state-of-the-art PO systems in investing returns and risk control. Moreover, it has the advantages of being able to tolerate certain transaction fees and running fast, which shows that it is suitable for real financial environments. Show more

Keywords: Correlation coefficient, historical portfolio, portfolio optimization (PO), composite trend representation

DOI: 10.3233/JCM-226638

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 2, pp. 1021-1042, 2023

Authors: Li, Bin

Article Type: Research Article

Abstract: The rapid development of information technology is changing people’s social life all the time. The big data that entered people’s vision in the new century, after just over ten years of development, has penetrated into everywhere of social life. People have unconsciously used big data analysis as the main research reference in the research of various activities. The development of this research is also based on this currently most popular model. Use big data integration to analyze the challenges and opportunities faced by colleges and universities in international trade teaching. In order to better understand the status quo, this study …uses a combination of questionnaire surveys and interview methods to grasp the opinions of students of the major on teaching development using questionnaire survey methods, and use interview methods to understand the impressions and actual needs of some foreign trade enterprises on graduates. Then, based on the analysis of the current situation, the existing problems and the countermeasures to be solved are found. The study found that in the context of big data, international trade students pay more attention to the practical value of the knowledge they have learned and the improvement of their own employability, which is also the ability that foreign trade companies look to professional talents most. Therefore, our teaching in the new era should firmly focus on both to ensure the pertinence and effectiveness of innovative work. The development of this research will help to effectively promote the reform of the international trade curriculum system, and to study it in the context of the development of cross-border e-commerce will highlight the practical significance of the curriculum reform. Show more

Keywords: Big data, international trade major, teaching reform, practicality

DOI: 10.3233/JCM-226618

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 2, pp. 1043-1051, 2023

Authors: Yin, Jintian | Liu, Li | Peng, Zhihua | Chen, Riheng

Article Type: Research Article

Abstract: With the development of science and technology, new energy technology has increasingly become a hot spot of academic research. Today, solar, nuclear, tidal and wind power generation is gradually replacing thermal power generation. Aiming at the configuration problem of traditional wind power generation, this research will optimize the control of wind turbine generator sets, so as to realize the configuration optimization of the entire distribution network. In this study, a MOG (MOG) algorithm control optimization method was introduced. First, each scenario is constructed, and components such as centralized wind power plants are configured and controlled through the internal power flow …program; then, decision variables are defined, and three objective functions with trade-off relationships are constructed. Finally, the MOG algorithm is used for iterative solution, and the point with the lowest violation cost is selected as the optimal solution. Simulation experiments including three different configuration scenarios were conducted in MATLAB environment for comparing the influence of different connection modes on distribution network. According to experimental results, the effectiveness of the proposed method is verified and it is proved that the proposed method can be applied to complex distribution networks. Show more

Keywords: MOG algorithm, distribution network, CWT, objective function, optimum solution

DOI: 10.3233/JCM226582

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 2, pp. 1053-1068, 2023

Authors: Xie, Ziyuan | Tian, Guixian | Tao, Yongchao

Article Type: Research Article

Abstract: Under the influence of environment, enterprise index and other factors, the result of enterprise financial development path analysis is not ideal, so the development path of green enterprise financial development in coastal cities is studied. The regional differences of the green economy of coastal cities are analyzed. Under the premise of considering the differences, the competitiveness of the financial development of green enterprises in coastal cities is clarified, and the constraints that affect the financial development path are obtained. According to the development goal of enterprise financial integration, all the influencing indexes that affect the development path of enterprise finance …are obtained, and the concrete path of enterprise financial development is finally gotten. A port city is selected as the experimental object to verify, under the condition of low impact degree and high change of index, using expert evaluation method to compare the design method and existing methods. According to the results, the average expert evaluation score of the proposed method is 87.8, higher than that of the control method. The results show that the proposed path analysis method is more suitable for the analysis of the current situation of green enterprise financial development, and has more practical significance. Show more

Keywords: Coastal cities, green enterprises, financial development, path analysis, expert scoring method, constraints

DOI: 10.3233/JCM-226599

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 2, pp. 1069-1085, 2023

Authors: Chen, Guofang

Article Type: Research Article

Abstract: Cross-border e-commerce has gradually emerged with the popularity of the Internet in the world. It represents a new business model of e-commerce. The public is still the same as the daily shopping model on e-commerce platforms. However, cross-border e-commerce can be divided into two parts at home and abroad. With the continuous emergence of new social models such as the Metaverse, the data generated by online social networking is becoming larger and larger, and data science has developed accordingly, and the effective use of data has become the key to the rapid development of various industries. Big data technology is …the key to data science. A data processing and analysis technology generated in the development process, its use in the development of cross-border e-commerce enterprises will help enterprises to create products that are more in line with the actual requirements of the masses, increase the profits of enterprise operations, and allow enterprises to complete the era of data science smooth transition. This paper first describes the big data technology and related theories of cross-border e-commerce, and then takes Alibaba as an example to describe the SWOT analysis of my country’s cross-border e-commerce enterprises, and then analyzes the development dilemma of China’s cross-border e-commerce enterprises, and finally designs The development strategy of my country’s cross-border e-commerce enterprises based on big data is presented. Through a questionnaire survey of cross-border e-commerce enterprises that use big data technology in my country, it is found that cross-border e-commerce enterprises that combine big data technology have a greater understanding of overseas customers’ consumption psychology, integration of warehousing and logistics resources, and talent training. promote. Show more

Keywords: Big data, cross-border e-commerce enterprises, predicament, countermeasures

DOI: 10.3233/JCM-226632

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 2, pp. 1087-1099, 2023

Authors: Li, Jie

Article Type: Research Article

Abstract: New network attack platforms such as personal to personal botnets pose a great threat to cyberspace, but there is no corresponding detection method to detect them. In order to improve the security of topological networks, this research designs a mathematical modeling analysis method for potential attack detection based on convolutional neural networks. This method determines the potential attack risk assessment function through the feature extraction of vulnerable areas in network topology and the probability model of potential attacks, and then detects potential attacks by means of convolutional neural network data modeling. The experimental results show that the false detection rate …and missed detection rate of the three methods for potential attacks are lower than 9% and 8% respectively, but the false detection rate and missed detection rate of the method given in the study are the lowest, and can always be kept below 5%. At the same time, the detection time of potential attacks of this method is shorter than that of the other two detection methods. The detection of potential attacks provides a technical guarantee for the safe operation of the network. Show more

Keywords: Topological network, potential attacks, attack detection, convolutional neural network, feature extraction, risk function

DOI: 10.3233/JCM-226586

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 2, pp. 1101-1113, 2023

Authors: Ma, Yan | Zou, Lida | Han, Yingkun | Ma, Lei

Article Type: Research Article

Abstract: The data of scientific research is important for decision making of sci-tech journals. At present more and more journals attach great importance to their impacts. As the data expands and artificial intelligence develops, it is feasible to help select topic for journals. In the paper we propose a topic selecting framework based on the research focus, which includes analysis of both research focus and paper topics, model training and topic recommendation. Compared with deep neural network, the proposed method could be more accurate with various periods and time intervals. We also predict different models for different kinds of paper. In …this way, the model is more adaptable. The experiments demonstrate that our method is 69.8% better than benchmark algorithm in accuracy rate. Show more

Keywords: Sci-tech journals, research focus, journal impact, prediction, topic selection

DOI: 10.3233/JCM-226625

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 2, pp. 1115-1123, 2023

Authors: Wang, Hujun

Article Type: Research Article

Abstract: When applied to seal liquid, magnetic fluid seal was prone to failure with the increase of shaft speed because of instability at the interface of these two fluids caused by shaft rotation. In order to avoid this problem, a new type of magnetic fluid seal was proposed, in which the magnetic fluid was separated from the sealed liquid by gas. The sealing principle of the structure was studied. Gas-liquid two-phase flow in the structure was simulated by computational fluid dynamics. A test rig of magnetic fluid seal with gas isolation was set up. Experiments of pressure resistance and seal durability …of the original structure and structure with gas isolation for sealing water were carried out on the test bench. The results of theoretical analysis, CFD and experiments indicated that: there was no obvious relationship between shaft speed and performance of magnetic fluid seal when gas isolation was added for sealing water. Its pressure resistance was almost the same as that of the structure sealing gas. Its seal durability was significantly longer. Show more

Keywords: Magnetic fluid seal, shaft speed, gas isolation, seal performance

DOI: 10.3233/JCM-226651

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 2, pp. 1125-1134, 2023