Journal of Computational Methods in Sciences and Engineering - Volume 23, issue 6

Article Type: Other

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 6, pp. 2811-2811, 2023

Authors: Hu, Hongqian | Wang, Hui | Wang, Xuanyin

Article Type: Research Article

Abstract: Since the outbreak of COVID-19, wearing masks outside has become a daily habit. In view of the current problems of low accuracy and lack of non-standard detection of mask wearing, a detection method for mask wearing based on key points is proposed. First, the YOLOv7_tiny algorithm is used to detect whether the face is wearing a mask, and the resulting ROI (Region of Interest) is scaled to a fixed size. Then, the key point detection algorithm was adopted to extract 68 key points of the face from the ROI region, and the image segmentation of the mask area is performed …simultaneously. Finally, the correspondence between face landmarks and the mask area is used to assess whether the mask is worn correctly. The experimental results show that the average detection speed of this method in the natural environment is about 14FPS, the mAP (mean Average Precision) of whether to wear a mask is 66.34%, and the detection accuracy of whether to wear a mask is 96%, which can effectively meet the actual application requirements. Show more

Keywords: Mask detection, YOLOv7-tiny, PSPNet, face feature points

DOI: 10.3233/JCM227007

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 6, pp. 2813-2823, 2023

Authors: Tang, Huatao | Cha, Hao | Liu, Feng | Tian, Bin | Zuo, Lei

Article Type: Research Article

Abstract: Due to limitations in computing power, the passive radar based on GNSS signal may not be able to use all the GNSS signals, requiring to make signal selection. Based on CRLB, a new radiation sources adaptive selection method for passive radar is proposed. With the goal of minimizing the CRLB of GNSS signals and the number of GNSS signals as constraints, an adaptive selection model is established. Simulation experiments were conducted using the selection model and particle filter algorithm. Experimental results show that the calculation accuracy of this algorithm is slightly lower than the tracking results obtained using all six …satellites, but the calculation time is greatly reduced, reducing the requirement for radar computing power. Show more

Keywords: Passive radar, GNSS signal, CRLB, particle filter algorithm, target tracking

DOI: 10.3233/JCM227005

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 6, pp. 2825-2833, 2023

Authors: Wang, Yingsheng | Liu, Yongkun | Ding, Sha

Article Type: Research Article

Abstract: Randomness of grain boundaries makes it difficult to reach a broad consensus about mechanical properties of polycrystalline graphene (PG). In the present paper, based on principle of Voronoi diagram, the models of PG with different grain sizes were established, and the fracture mechanism and mechanical properties were investigated by molecular dynamics (MD). The results showed that the crack initiation point of PG always located at the multiple junction of grain boundaries, and the crack propagation and fracture mode of PG was mainly dependent on not only the relative size but also the relative location of the indenter and grain boundaries. …Additionally, the effects of grain size, indentation speed, temperature and indenter diameter on the mechanical properties were studied, which showed some interesting and different phenomena from the tensile case, e.g., the grain size seems no regular effect on mechanical properties. Furthermore, the ultimate indentation force, indentation depth and fracture showed an increase trend with the increase of indenter diameter and indentation speed, while they decreased with the increase of temperature. But when it came to the elastic modulus, it showed a decreasing trend with the increase of indenter diameter and indentation speed, while it first increased and then decreased with the increase of temperature. Show more

Keywords: Molecular dynamics, nanoindentation, polycrystalline graphene, fracture mechanism, mechanical properties

DOI: 10.3233/JCM-226966

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 6, pp. 2835-2850, 2023

Authors: Liu, Chunlei | Zhang, Mengru | Zhen, Wenshuang | Wang, Peng | Ding, Yibo | Cai, Yang | Sun, Yong

Article Type: Research Article

Abstract: In the direction of better resolution of time lag, nonlinearity and uncertainty in the heating system, a BPNN-PID (BP neural network PID) controller is proposed in this paper. A complete heating auto-control system is designed with the experimental platform of a university heat exchange station in Zhangjiakou as the research background. The auto-control system takes Programmable Logic Controller (PLC) as the control core, uses BPNN algorithm to optimize the PID control parameters, and finally takes outlet temperature of 1# plate exchanger as the main control parameter to conduct experimental research on BPNN-PID control and single-loop feedback control respectively. The results …show that compared with the single-loop feedback controller, the PID control based on BPNN algorithm has superior control quality, with shorter adjustment time, smaller overshoot, finer control accuracy and stability. Show more

Keywords: Heating auto-control system, BPNN, PID control, PLC

DOI: 10.3233/JCM-226972

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 6, pp. 2851-2866, 2023

Authors: Zhu, Shouxi | Chen, Jian

Article Type: Research Article

Abstract: Safety is the lifeline of civil aviation. With the advancement of technology, human factors have become the primary factor affecting aviation safety. Among these, human errors in air traffic control (ATC) account for a significant proportion of aviation accidents. In order to investigate human errors in ATC, this paper introduces two common human factors conceptual models – the Reason model and the HFACS model, and analyzes the specific application of the HFACS model in aviation. It is found that the HFACS model can effectively establish a classification system for human errors in ATC. Moreover, this paper combines the HFACS model …with AHP (Analytic Hierarchy Process) and uses the HFACS model to establish a first and second level indicator system for human errors in ATC. We calculated the weights of each specific factor using the Analytic Hierarchy Process. The results show that the most significant influencing factor in the first level indicators is organizational factors, while the most significant influencing factor in the second level indicators is Air Traffic Resource Management. Among the 13 second level indicators, the smallest weight is the controller’s violation. Based on the calculated weight results, in order to improve the safety level of ATC, the first step should be to improve the level of ATC organizational management. This is also of great significance for improving the safety level of the entire aviation system. The findings of this study suggest that the HFACS model, combined with AHP, can be an effective tool for identifying and analyzing human factors in ATC and ultimately improving the safety of the aviation industry. Show more

Keywords: Human errors, air traffic controllers, HFACS, AHP, aviation safety

DOI: 10.3233/JCM227000

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 6, pp. 2867-2878, 2023

Authors: Chen, Hongyin | Wang, Songcen | Zhong, Ming | Jin, Lu | Jia, Xiaoqiang | Guo, Yi | Zhang, Xinhe | Huang, Wei

Article Type: Research Article

Abstract: The heat source tower heat pump system is widely used in large and medium-sized air conditioning systems due to its good energy-saving advantages. However, there is no relatively reasonable evaluation system for the applicability of heat source tower heat pumps due to significant regional climate differences. Therefore, in order to better comprehensively evaluate the applicability of the heat source tower heat pump system, a comprehensive evaluation index system for the applicability of the heat source tower heat pump system was first constructed. On the basis of this evaluation index, an applicability evaluation model based on backpropagation neural network is constructed. …In response to the slow convergence speed and susceptibility to local values in the application process of this evaluation model, particle swarm optimization algorithm is used to improve it. A comprehensive evaluation model for the applicability of heat source tower heat pumps based on improved backpropagation neural networks has been constructed. For the evaluation model constructed in the study, experimental data from four different regions were selected for validation. The experimental results show that in the training set, the F-Measure value of the evaluation model reaches 0.949, and in the test set, the F-Measure value of the model reaches 0.973. The comprehensive evaluation data from four regions indicate that the heat source tower heat pump system can achieve different heating and cooling effects in different regions. This indicates that the proposed comprehensive evaluation model for the applicability of heat source tower heat pumps based on this improved method has good evaluation results. It can conduct a good analysis of the applicability of the heat source tower heat pump system, providing effective support for developing reasonable and energy-saving refrigeration and heating methods in different regions. Show more

Keywords: Regional characteristics, climate differences, heat source tower heat pump, applicability, evaluation indicators, BPNN, PSO

DOI: 10.3233/JCM-226957

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 6, pp. 2879-2892, 2023

Authors: Lei, Bowen | Ao, Changlin | Wei, Yuehua | Long, Yulin | Jiang, Nan

Article Type: Research Article

Abstract: Effectively assessing public preferences for air quality improvement policies is extremely important to environmental policy formulation, but developing policies that cater to public tastes is a great challenge. Although the random parameters logit (RPL) model in the choice experiment is widely used in relevant studies, it remains limited in revealing additional preference heterogeneity. Given this, the study applies two extended models in exploring public preference heterogeneity for air quality policies. An RPL model with heterogeneity in means and variances (RPL-HMV) and an RPL model with correlated random parameters (RPL-CRP) are used to provide more beneficial insights for policy analysis. The …study shows that better-educated groups are more willing to pay for increasing urban green coverage, and income increases the randomness of such preferences’ distribution among groups. From the perspective of preferences, reducing heavy pollution days is positively associated with decreasing morbidity of respiratory diseases caused by outdoor air pollution and negatively correlated with improving urban green coverage. In addition, compared to the RPL-CRP model, the willingness to pay in the RPL model is overestimated by 14.72%. The study further clarifies public preferences for air quality policies, and the extra information revealed by extended models provides more valuable references for policy-making. Show more

Keywords: Choice experiment, air quality, random parameters logit model, preference heterogeneity, correlated random parameters, willingness to pay

DOI: 10.3233/JCM-226980

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 6, pp. 2893-2914, 2023

Authors: Zhang, Jian | Zhou, Hao | Liu, Xiaoying | He, Chao

Article Type: Research Article

Abstract: The particulate matter samples of gasoline direction injection (GDI) gasoline engine obtained from road experiments are photographed to obtain the emission particulate matter images based on the transmission electron microscope under high altitude environment. The results show that the micro-morphology characteristics of the particulate matter emitted by GDI gasoline engine in plateau area are similar to those in low altitude area, and the main morphology is cloud-like, filamentous, flocculent, chain-like, cluster-like, like altitude contour line, etc. The images are processed by MATLAB and Python software, and the fractal dimension, average gray value and gray histogram are obtained. The fractal dimensions …of the emission particulate data obtained are between 1.81 and 1.89, which has some deviation compared with the fractal dimension of the emission particulate data at low altitude of 1.58 and 1.80. With the increase of altitude, its fractal dimension increases more obviously. It can be seem from the characteristics of gray value and gray histogram of particle images that the average gray value of GDI gasoline engine particles is higher. The gray histogram distribution of 5–50 nm images is uniform, and the individual particles in the images are clear. The gray histogram of 100–500 nm images is scattered, so it is easy to extract and separate the image edge contour. 5–50 nm images are used to study the details and characteristics of individual particles, and 100–500 nm transmission electron microscope images are used to study the overall morphology of particles. Show more

Keywords: GDI, particulate matter, fractal dimension, microscopic characteristics

DOI: 10.3233/JCM226978

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 6, pp. 2915-2922, 2023

Authors: Zhang, Xusong | Wang, Feng

Article Type: Research Article

Abstract: A time series prediction model was developed to predict the number of confirmed cases from October 2022 to November 2022 based on the number of confirmed cases of New Coronary Pneumonia from January 20, 2021 to September 20, 2022. We will analyze the number of confirmed cases in the Philippines from January 1, 2020 to September 20, 2022 to build a prediction model and make predictions. Among the works of other scholars, it can be shown that time series is an excellent forecasting model, particularly around dates. The study in this work begins with the original data for inference, and …each phase of inference is based on objective criteria, such as smooth data analysis utilising ADF detection and ACF graph analysis, and so on. When comparing the performance of algorithms with functions for time series models, hundreds of algorithms are evaluated one by one on the basis of the same data source in order to find the best method. Following the acquisition of the methods, ADF detection and ACF graph analysis are undertaken to validate them, resulting in a closed-loop research. Although the dataset in this study was generated from publicly available data from the Philippines (our data world for coronaviruses), the ARIMA model used to predict data beyond September 20, 2022 exhibited unusually high accuracy. This model was used to compare the performance of several algorithms, each evaluated using the same training data. Finally, the best R2 for the ARIMA model was 92.56% or higher, and iterative optimization of the function produced a predictive model with an R2 of 97.6%. This reveals the potential trajectory of coronaviruses in the Philippines. Finally, the model with the greatest performance is chosen as the prediction model. In actual implementations, several subjective and objective elements, such as the government’s epidemic defence measures, the worldwide pandemic condition, and whether the data source distributes the data in a timely way, might restrict the prediction’s accuracy. Such prediction findings can be used as a foundation for data releases by health agencies. Show more

Keywords: Time series, prediction model, coronavirus ARIMA, machine learning

DOI: 10.3233/JCM226993

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 6, pp. 2923-2935, 2023

Authors: Cui, Jiantao | Du, Zhongzhou | Liu, Kejian | Cao, Junpeng

Article Type: Research Article

Abstract: With the upgrading of the traditional home industry, the deep integration of home design and Internet of Things technology is the development direction of modern smart home design, and it creates a comfortable, energy-saving and safe working and living environment for people. This paper designs an application scenario of the Internet of Things in smart home design, integrates smart home, Internet, Internet of Things and other technologies, designs the overall architecture, topology and IP address allocation scheme of the system, and realizes the intelligent door control and temperature control system of smart home based on the simulation platform. The whole …network is connected to ISP Internet through home gateway and mobile data. After testing, the system runs stably as a whole, thus providing a solution for the application of the Internet of Things in smart home. Show more

Keywords: Smart home, internet of things, access control, temperature, simulation

DOI: 10.3233/JCM-226995

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 6, pp. 2937-2947, 2023

Authors: Hou, Yong

Article Type: Research Article

Abstract: Design and implementation of the system for retrieving information about mathematical formulas – MFIRS. The structure of the system is mainly divided into the modules: input normalization, mathematical formula unification, mathematical formula encoding, text information feature extraction, mathematical formula feature extraction, mathematical formula indexing, retrieval and ranking. A method for extracting mathematical formulas and keywords based on FastText word embedding technology is proposed. This method can be used not only to get the structural features of the formula, but also to facilitate the calculation of the similarity of the formula by the vector result. At the same time, the model …introduces the semantic features of context-rich mathematical formulas to improve the domain correlation of search results. The MathRetEval dataset was created based on about 7.9 × 10 5 arXiv documents and about 1.5 × 10 8 mathematical formulas. The scalability of the system is verified using this data set. The mathematical formulas can be written in the language TEX or MathML. When queried in the TEX language, it can be converted to a tree representation of the MathML representation and then indexed. This MFIRS is an information retrieval system for mathematical formulas with the features of mathematical perception, which can use the search for the similarity of partial formulas. Show more

Keywords: Mathematical formula, index, retrieval, mathematical content representation, document sorting, retrieval engine

DOI: 10.3233/JCM-226961

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 6, pp. 2949-2973, 2023

Authors: Jia, Xiaoqiang | Wang, Zhiwei | Wang, Songcen | Liu, Kaicheng | Zhang, Xinhe | Zhang, Jiajun

Article Type: Research Article

Abstract: The rapid development of renewable energy has also had an impact on the flexibility of multi energy systems such as electricity, heat, and gas. To analyze the flexible characteristics of multi energy systems at multiple time scales, a multi-scale flexibility evaluation method based on morphological decomposition is proposed. The net load curve is decomposed using mathematical morphology methods, and a multi-scale energy storage configuration method based on the flexibility of electric heating systems is proposed. The analysis data shows that the probability of insufficient upward flexibility, margin expectation, and insufficient expectation of the scale weighted flexibility index are 1.12%, 3.98%, …and 1.16%, respectively, while the probability of insufficient downward flexibility, margin expectation, and insufficient expectation are 0.73%, 4.54%, and 0.56%, respectively. The introduction of energy storage and controllable load simultaneously results in an overall downward flexibility index of 0.92% for the system. The results indicate that controllable load can improve the economy of system peak shaving, providing more options for energy storage and configuration in multi energy systems. Show more

Keywords: Multi energy system, morphological decomposition, multi scale, flexibility, energy storage unit, resource call

DOI: 10.3233/JCM-226959

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 6, pp. 2975-2991, 2023

Authors: Tang, Hongsuo | Zhou, Yuchen | Hou, Pengfei | Xing, Libao | Chen, Yanyan | Li, Hui

Article Type: Research Article

Abstract: There are many kinds of Marine organisms and their biological forms differ greatly, so it is difficult to guarantee the accuracy of artificial species identification, which brings great challenges to the work of Marine species identification. In this paper, we propose a recognition method of Marine biological image classification using residual neural network, redefining convolution layer and using batch regularization to avoid gradient parameter disorder. The bottleneck layer is realized by the residual connection in the neural network, and the residual network ResNet50 is constructed by the transfer learning method. The classification training was conducted on 19 common Marine animal …data sets, and the experimental results showed that the recognition accuracy of ResNet50 reached about 90%. Compared with the traditional convolutional neural network VGG19, the results showed that the recognition efficiency of ResNet50 was better, thus verifying the effectiveness of the Marine animal classification and recognition model proposed in this paper. Show more

Keywords: ResNet50, marine creatures classification, PyTorch, deep learning

DOI: 10.3233/JCM-226974

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 6, pp. 2993-3006, 2023

Authors: Lv, Jinfei

Article Type: Research Article

Abstract: The performance-related pay system in colleges and universities is one of the hot spots in the reform of the wage system in colleges and universities in recent years. It is an important measure to improve the quality of education and teaching in colleges and universities and the construction of talent teams. However, there are many problems in the performance-related pay system of colleges and universities, such as unreasonable evaluation indicators, unfair weight distribution, etc., which makes it difficult to accurately reflect the work performance of teachers and staff in the measurement of performance-related pay. Based on this background and trend, …this paper conducted an in-depth discussion on the salary system in China’s colleges and universities, and used the support vector regression algorithm to study the performance-based salary management of colleges and universities based on linear programming and mathematical statistics. The research showed that with other conditions remaining unchanged, the proportions of primary, intermediate, deputy and senior high school students who were dissatisfied with the system of performance-based pay in colleges and universities were 82%, 57%, 46%, and 9%, respectively. After applying linear programming and mathematical statistics, the proportions of elementary, intermediate, sub-high and ortho-high became 1%, 2%, 5% and 7% respectively. The decline of the first three was particularly obvious, and the teachers with positive high school also dropped by 2%, indicating that linear programming and mathematical statistics were beneficial to the management of performance wages in colleges and universities. Show more

Keywords: Linear programming, mathematical statistics, performance salary in colleges and universities, management research

DOI: 10.3233/JCM-226998

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 6, pp. 3007-3026, 2023

Authors: Liang, Yao | Du, Guanghong | Li, Anzong | Chen, Wenhui | Li, Xiaojun | Guo, Yixiao | Li, Zhiguang

Article Type: Research Article

Abstract: For signal transmission of mud pressure waves in logging-while-drilling systems, as more measurement parameters are adopted, the conventional signal transmission rate of approximately 1 bps cannot meet the requirements of parameter uploading. Transmission rates greater than 10 bps are widely used by current Chinese and international enterprises in their continuous wave transmission systems. Due to the increasing transmission rates, a conventional single-channel pressure sensor cannot effectively identify the key features of an original signal with a low signal-to-noise ratio at a high transmission rate. This issue results in a low success rate for pressure wave recognition and decoding. This paper …addresses a method for the collection of pressure wave signals using multi-channel pressure sensors through the analysis of the signal transmission changes of mud pressure waves with well depths and echo interference caused by drilling rod reflection. In this research, numerical simulation and experimental verification were used to calculate the cross-correlations of the multi-channel signals to effectively remove interference noises such as reflective waves and improve the signal-to-noise ratio of the original signal. The results showed that this method could effectively improve the SNR after the wave filtering of the original pressure wave. The characteristics of the continuous mud pressure wave signals were analysed using a circulation test. A corresponding band-pass filter was designed to remove pump noises to restore the sinusoidal pressure wave signal required by the original transmission rules. Show more

Keywords: Logging while drilling, continuous mud pressure wave, cross-correlation, multi-channel pressure sensor, signal-to-noise ratio, band-pass filter

DOI: 10.3233/JCM-226986

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 6, pp. 3027-3035, 2023

Authors: Hu, Yanan | Lv, Mingyang

Article Type: Research Article

Abstract: As a result of alkali ASP flooding in oil and gas fields, strata and pipelines become seriously scaled, which poses a threat to the normal operation of crude oil production. We propose an intelligent knowledge reasoning model for dynamic scaling prediction in order to address the problems of high directivity, poor generalization ability, and poor application effect of existing scaling prediction methods. The model framework includes the knowledge acquisition layer which mainly relates to the manual acquisition of scaling prediction knowledge and the intelligent training of the knowledge base, and it includes the knowledge modeling layer that provides a set …of standard domain common ontology and knowledge organization system using the ontology modeling technology, it also includes the knowledge inference layer which is the application layer of the model. The three layers collaborate and finally complete the scaling prediction through inference and expression. A total of 238 wells were selected for experimentation in the northern development area of the Xingshugang Oilfield. Experimental results indicate that the model has the highest accuracy of 91.87%. Additionally, the time series prediction trend for the six ions matches the trend of change in ion concentration in the scaling state, verifying the accuracy of the model’s predictions. Show more

Keywords: Scaling of oilfield water, intelligent prediction, knowledge modeling, classification pattern mining, time series prediction

DOI: 10.3233/JCM227003

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 6, pp. 3037-3054, 2023

Authors: Jiao, Hong | Bao, Lei

Article Type: Research Article

Abstract: Using population geographic data to analyze the dynamics of the central urban to explore the negative space and implement green carbon offset retrofits is beneficial for the Dual Carbon goals. We construct a grading system of urban vitality values with ArcGIS to assess the vitality of city blocks and screen out negative spaces. Taking the central urban of Anda as an example, we found that the vitality values along the main road in Anda were high. In contrast, the vitality values of residential sites in the southern and western parts were generally low. By analyzing the distribution of negative space …in Anda, we finally recommend that Anda adopt the strategy of “fertile land creation” for the western part, to practice the planning of urban green space projects with joint investment of factories in the southern part, to optimize the low-carbon urban travel space, to implement the green transformation of small negative urban spaces, and to enhance the ecological construction of existing parks and green spaces. We extracted the negative urban spaces and explored the paths and implementability of the carbon offsetting renewal strategies intending to provide some reference for realizing Dual Carbon goals and transforming negative urban spaces in China. Show more

Keywords: Population geography data, negative space, green renewal, carbon offsetting

DOI: 10.3233/JCM-226997

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 6, pp. 3055-3069, 2023

Authors: Wu, Xiaoyan | Wang, Shu

Article Type: Research Article

Abstract: Based on the development of the 3D vascular printer, the forming process of ink from the nozzle to the rotating rod was studied. In this study, to online detect the ink flow from the nozzle during 3D bioprinting of tubular tissue, we established a geometric model according to the region of interest (ROI) of the ink flow picture of 3D printing of tubular tissue, selected description features of the ink contour, and studied how to select mathematical expressions of the features. Principal component analysis (PCA) was used to simplify the image features into 15 features. We used a back propagation …(BP) neural network to predict the printing ink flow. The results show that the error between the actual ink flow rate and the flow rate based on the BP neural network is within 5%. The BP neural network can be used to monitor the quality status of the printing target in real time, evaluate the 3D bioprinting quality online, and predict the printing ink flow for the subsequent improvement of the 3D bioprinting accuracy of tubular tissue. Show more

Keywords: Tubular tissue, 3D bioprinting, Ink flow, Back propagation neural network, Prediction algorithm

DOI: 10.3233/JCM-226991

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 6, pp. 3071-3080, 2023

Authors: Ding, Dukun | Deng, Jianxin | Ye, Hui

Article Type: Research Article

Abstract: A new automatic lock screw machine for LED lamp has been researched in the paper, which is based on the immune clone algorithm. Firstly, the robot automatic lock screw system has been setup. Vision sensor captured LED lampshade images in real-time. Median filtering operation has been performed to the captured images. On this basis, a new image segmentation method based on the immune clone algorithm has been researched. The antibody and antigen of LED lampshade image have been defined. The immune affinity function has been setup at the same time. Several artificial immune operators have been designed, which can be …used to obtain the optimum image segmentation threshold value in real time. The final results showed that the optimum image threshold value can been obtained after less than ten times iterative computation. Compared with the traditional Ostu method, the new method can reduce the disturbance information around the threaded hole, which made basis for threaded hole recognition and location. Show more

Keywords: Automatic screw locking machine, robot station, machine vision, immune clone algorithm

DOI: 10.3233/JCM226968

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 6, pp. 3081-3091, 2023

Authors: Wang, Chen

Article Type: Research Article

Abstract: Constructing the evaluation system of ideological and political education of new media in colleges is both beneficial to evaluate the established ideological and political education work and an important guide to improve the corresponding work. At present, promoting ideological and political education work with high integration of information technology has become an important way of ideological and political education work in colleges. However, the theoretical circles are still not focused enough on how to evaluate the ideological and political education work in colleges. Based on the characteristics of the information age, this paper establishes the teaching quality evaluation system of …ideological and political education courses in colleges, introduces BP neural network evaluation method, and obtains strong empirical support through simulation experiments, so as to build a feasible teaching quality evaluation model of ideological and political courses in colleges. At the same time, the corresponding optimization suggestions are put forward, including improving the relevance of ideological and political education work, dynamically grasping students’ ideological and political information and doing a good job of data processing, and improving the professional information literacy of the ideological and political work team, in order to provide some reference for the efficient development of ideological and political education work in colleges. Show more

Keywords: Ideological and political education evaluation, BP neural network, teaching quality

DOI: 10.3233/JCM-226935

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 6, pp. 3093-3102, 2023

Authors: Luo, Zhiyi

Article Type: Research Article

Abstract: Long-term psychological depression can seriously damage the physical and mental growth of adolescent students, and effective interventions are needed to address students’ depression. This paper briefly introduced students’ depressive mood and surveyed students in three grades from ten high schools in Zhengzhou City in 2020 with questionnaires that included the degree of depression and family environment in addition to conventional information. After preliminary screening of indicators related to depressive mood, the influence of family environment on depressive mood was analyzed using multiple regression analysis. The results showed that factors such as intimacy, recreation, and organization in the family environment could …effectively suppress depressive mood, while ambivalent and controlling factors could exacerbate depressive mood. Show more

Keywords: Depressed mood, family environment, multiple regression analysis, influence

DOI: 10.3233/JCM-226949

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 6, pp. 3103-3110, 2023

Authors: Feng, Peichun

Article Type: Research Article

Abstract: Based on the data of urban residents’ consumption in Jiangsu Province, this paper looks for the Statistical Yearbook of Jiangsu Province from Jiangsu Statistics Bureau, collects the required data of residents’ consumption structure, and defines the components of residents’ consumption structure in Jiangsu Province from eight aspects: clothing, food, housing, transportation and communication, medical care, culture, education, entertainment and other miscellaneous commodities. First, make a systematic theoretical explanation of these eight factors, so as to help us better understand how these eight factors are pieced together into a whole of residents’ consumption structure. Then it analyzes the present situation of …consumption structure. Secondly, based on the relevant theories of residents’ consumption structure, in order to know the changes of the components of residents’ consumption structure in Jiangsu Province over the years, this paper analyzes the relevant data of the collected structural factors by using factor analysis and ELES model, based on the data from 2009 to 2018. In the last part, according to the previous analysis results, the characteristics of urban residents’ consumption structure in Jiangsu Province are summarized, and some suggestions and opinions are given. Finally, the future consumption structure is predicted according to the historical data, and some suggestions are given. Show more

Keywords: ELES model, consumption structure of residents, diversification

DOI: 10.3233/JCM-226937

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 6, pp. 3111-3122, 2023

Authors: Li, Xiaohan | Chai, Wang

Article Type: Research Article

Abstract: Traditional culture is a symbol of a country’s existence and history. The external dissemination of traditional culture is the key to expanding the country’s influence and enhancing the country’s international image. The external dissemination of culture also poses a potential impact on the country’s economy and development. In the context of the information age, the dissemination of Chinese traditional culture is attached great importance. The culture of the Forbidden City, from self-construction to borrowing, from online to offline all-media communication channels, unique and novel cultural and creative products and a young brand image provide it with a unique means of …communication. The dissemination of the Forbidden City culture is of positive significance to the demonstration of cultural confidence and the innovation and development of culture, and it can be used as a typical case of the dissemination of Chinese traditional culture. Big data technology analyzes the research object through the process of data collection, data screening and data processing, combined with various data analysis tools, and the ultimate goal is to obtain favorable results for the analyst based on the analysis. The use of big data technology in cultural communication research has gradually become the focus of current scholars. This paper takes the Forbidden City culture as the research object, analyzes the current situation of the foreign communication of the traditional culture of the Forbidden City, puts forward the dilemma of the current external communication of Chinese traditional culture based on the current situation, summarizes the problems and reasons of traditional cultural communication, and designs corresponding solutions combined with big data technology. Through the data simulation of Chinese traditional cultural communication using big data solutions, it is found that the demand satisfaction, cultural benefits after cultural communication, and the direction of cultural influence have all improved after analyzing the user’s individual needs combined with big data technology. Show more

Keywords: Big data, traditional culture, dissemination, personalized analysis

DOI: 10.3233/JCM-226939

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 6, pp. 3123-3133, 2023

Authors: Wang, Jing

Article Type: Research Article

Abstract: The scale of e-commerce in China continues to expand, and it has a relatively good development prospect. However, there are many problems in cost control in the development of e-commerce in our country. E-commerce companies have many problems in terms of promotion costs, warehousing costs, and operating costs. Although predecessors have made great achievements in this field and helped e-commerce companies solve problems related to cost control, there are still many problems in e-commerce companies. Question. This article starts with big data and Internet of Things technology, and focuses on storage costs and transportation costs to solve the problems of …cost control in e-commerce companies. The problems existing in the development of e-commerce enterprises are: (1) The cost control system is not mature enough, the business scope is not clear, the cost control lacks innovative awareness, the logistics cost remains high, and the logistics management model is unreasonable. In order to solve these problems, we built a transportation cost optimization model and an operation cost optimization model based on big data and Internet of Things technology. Transportation cost and operation cost are two important components of the cost of e-commerce enterprises in my country. The model has been verified to effectively reduce transportation costs and operating costs, which is of great significance to reducing the cost of e-commerce enterprises in my country, can solve the problems of e-commerce enterprise development, and promote the development of e-commerce in my country. Finally, according to the model constructed by the questionnaire survey and the article, we put forward corresponding suggestions (1) optimize customer relationship, improve the enterprise model (2) promote enterprise innovation, and promote the transformation of marketing costs (3) improve the degree of informatization of e-commerce enterprises. Show more

Keywords: Big data, Internet of Things, e-commerce, cost control, countermeasures

DOI: 10.3233/JCM-226931

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 6, pp. 3135-3145, 2023

Authors: Yan, Jing | Chen, Aiping | Chao, Jinjin

Article Type: Research Article

Abstract: This study aims to explore the application status of Internet of Things and multimedia technology in English online teaching and its optimization measures. The Internet of Things is a technology that connects objects together and realizes information exchange through the network, while multimedia technology refers to the integration and processing of different forms of information including text, images, sound, video and so on. Firstly, the development status of Internet of Things and multimedia technology at home and abroad, as well as the development trend and demand of online English teaching, are analyzed. Secondly, through a questionnaire survey, data on the …teaching methods, content, student feedback, and teachers’ teaching methods and effects in English online teaching were collected. Through in-depth data analysis and empirical research, this paper discusses how to integrate the Internet of Things and multimedia technology to build a more efficient online English teaching model. On this basis, the problems existing in the Internet of Things and multimedia technology in English online teaching are summarized, such as uneven application of technology, lack of targeted teaching design, and insufficient interactivity. In response to these problems, a series of optimization measures are proposed, including balancing the application of technology, personalized teaching design, improving interactivity, cultivating independent learning ability and solving technical problems. Finally, the future development of English online teaching in the application of Internet of Things and multimedia technology is prospected, focusing on technological innovation and application, personalized and intelligent teaching, teaching mode and method innovation, teacher role change and evaluation system construction. Show more

Keywords: Internet of Things, multimedia technology, english, online teaching

DOI: 10.3233/JCM-226928

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 6, pp. 3147-3162, 2023

Authors: Li, Jiaojiao | Zhao, Linfeng | Dong, Lihao

Article Type: Research Article

Abstract: The key to the reform of the power system is to design a fair bidding and trading system. Analyzing the transaction process of electricity price competition, suppressing market power and other unfavorable factors, and finding a perfect bidding system are the research goals of this paper. In order to study the competition in the power spot market and power contract market, this paper employs the game model of complete information and the game theory as a tool. The power spot market adopts the Market Clearing Price (MCP) settlement method, in which the power grid determines the maximal real-time price of …the generator node as the MCP. The price is based on the three bidding strategy curves of the power plant. As a result, a Nash equilibrium of power plant revenue is formed. According to the Cournot model and Stackelberg model that analyze the power contract market, the long-term equilibrium price of Stackelberg model in the power contract market is higher than that of the perfectly competitive market and less than or equal to the output of perfect monopoly market. The long-term equilibrium price and output in the power contract market are both certain and stable. This paper has analyzed the static game of complete information in the power market and carried out practical application. The results show that the bidding strategies of power plants have a Nash equilibrium and they have an incentive to collude. The MCP mechanism cannot solve the problem of market power influence. The conclusion of the research provides a basis for the design of the power hybrid auction system. Show more

Keywords: Power market, complete information, game, auction, price

DOI: 10.3233/JCM-226926

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 6, pp. 3163-3176, 2023

Authors: Li, Yafeng | He, Yao | Yang, Wei | Yu, Xintao

Article Type: Research Article

Abstract: This study investigated factors of the green innovation performance of industrial enterprises in 30 provinces and autonomous regions across China. This study used literature analysis and DEMATEL method to identify the factors of green innovation performance of industrial enterprises. A green innovation performance evaluation index system was then constructed, and a mathematical model was established using factor analysis method to empirically analyze the factors of green innovation performance of industrial enterprises across 30 provinces and autonomous regions in China from 2012 to 2016. The results show that green innovation strength, technological development level, energy consumption, and environmental protection are the …three factors of green innovation performance. Firstly, the influence of innovation strength on comprehensive green innovation performance has the largest weight, meaning that it has the largest impact on comprehensive green innovation performance. Secondly, the influence of the level of scientific and technological development on the comprehensive green innovation performance is weaker. Thirdly, the main influencing factor is the level of energy consumption and environmental protection. Finally, based on the empirical analysis, it is suggested that industrial enterprises should increase investment in green innovation, developing science and technology, and improving ecological environment, so as to enhance the green innovation performance of industrial enterprises. Show more

Keywords: Industrial enterprises, green innovation performance, influencing factor

DOI: 10.3233/JCM-226924

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 6, pp. 3177-3200, 2023

Authors: He, Jiangtao

Article Type: Research Article

Abstract: This paper firstly introduced the traditional classroom teaching mode, proposed the massive open online courses (MOOC) online teaching platform, and combined it with the traditional teaching mode for the teaching of ancient literature course. In case study, 200 students from Ningbo University of Finance and Economics were divided into a control class and an experimental class. The control class was taught by the traditional mode, while the experimental class was taught by the new mode combining traditional with MOOC. The final results showed that there was little difference in the grade distributions of the control and experimental classes before the …respective instruction (the P value greater than 0.05); after the instruction the students’ ancient literature grades in the experimental class improved significantly (the P value less than 0.05), while the control class almost had no change (the P value greater than 0.05). The gap in the ancient literature grade between the control and experimental class students was significant (the P value less than 0.05). Show more

Keywords: Ancient literature, teaching mode, massive open online courses, Internet

DOI: 10.3233/JCM-226946

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 6, pp. 3201-3208, 2023

Authors: Li, Li

Article Type: Research Article

Abstract: The employment situation of fresh college graduates is affected by many factors. In this paper, on the basis of decision tree, the C4.5 method was used to analyze the employment factors of fresh college graduates. An improved C4.5 model was designed by simplifying the calculation formula of the C4.5 method and combining the error tolerance. Experiments were performed on the actual data of fresh college graduates. The results found that the practice level had a great impact on the employment of fresh college graduates, so the training of the practice level should be focused on before graduation. The results of …the prediction models showed that the improved C4.5 method had a smaller training error than ID3 and C4.5 methods, a significantly higher prediction accuracy (88.39%), higher precision, recall rate, and F1 value, and a shorter running time (1.642 s); the improved model remained a high accuracy even when the data volume increased. The experimental results verify the reliability of the improved C4.5 model in predicting the employment situation of fresh college graduates. The model can be applied in actual employment guidance. Show more

Keywords: Fresh graduates, employment, decision tree, error tolerance, practice level

DOI: 10.3233/JCM-226951

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 6, pp. 3209-3218, 2023

Authors: Zhao, Jianwei | Li, Wenjing

Article Type: Research Article

Abstract: Predicting students’ course grades is an essential element in teaching. This paper used decision tree generation rules to study the prediction of students’ ideological and political course grades. Firstly, ID3 and C4.5 algorithms were briefly introduced; then, an improved C4.5 algorithm with higher computational efficiency was put forward. The formula of the C4.5 algorithm was optimized using theories such as the Taylor series. Finally, experiments were performed on the UCI dataset and students’ ideological and political course datasets. The results suggested that the average classification accuracy and computation time of the improved C4.5 algorithm was 79.37% and 74.1 ms, respectively, …on the UCI dataset, which was better than the traditional C4.5 algorithm. Then, the experiment predicting students’ course grades demonstrated that the average quiz grade and the number of video views had the greatest impact on the final grades. The prediction accuracy of the improved C4.5 algorithm reached 93.46%, and the average computation time was 54.8 ms, which was 19.17% less than the C4.5 algorithm. The experimental results verify the effectiveness of the generation rule of the improved C4.5 algorithm in predicting students’ ideological and political course grades. This algorithm can be applied in the actual grade prediction. Show more

Keywords: Decision tree, ideological and political course, grade prediction, Taylor series, C4.5

DOI: 10.3233/JCM-226953

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 6, pp. 3219-3228, 2023

Authors: He, Lin | Wu, Qixiang

Article Type: Research Article

Abstract: As an important part of cross-border e-commerce, cross-border e-commerce logistics occupies a very important position in cross-border e-commerce, but its development in China is relatively lagging behind that of cross-border e-commerce, and this situation needs to be resolved urgently. The emergence of the sharing economy model provides possible solutions to the problems in cross-border e-commerce logistics. This article analyzes the current development status of cross-border e-commerce logistics in China, defines and analyzes the feasibility of the “sharing economy + cross-border e-commerce logistics” model, and finally proposes the “sharing economy + cross-border e-commerce logistics” model …corresponding policy recommendations to better support cross-border e-commerce to achieve a high level of sustainable development. Show more

Keywords: Sharing economy model, cross-border e-commerce, e-commerce logistics

DOI: 10.3233/JCM-226922

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 6, pp. 3229-3237, 2023

Authors: Qiu, Zhiqian | Chen, Fei | Ji, Junyu

Article Type: Research Article

Abstract: Speech enhancement is essential for hearing aids. In recent years, many speech enhancement methods based on deep learning have been proven to be effective. However, these speech enhancement methods rarely consider limited hardware resources and have difficulty meeting real-time requirements, which is very important for hearing aids. To solve the above problems, we propose a method that combines beamforming and speech enhancement methods based on deep learning. Beamforming is used to filter background noise and reduce the complexity of noise. Additionally, a new filter bank used in hearing aids is adopted to reduce the complexity of the system. The system …was deployed and tested in resource-constrained hearing aids. The effectiveness of the method was verified by objective experiments using standard evaluation indicators. The results showed that the power was 8.43 mA, the signal-to-noise ratio improved by 9.4394 dB, and the PESQ improved by 0.7350. The presented objective and subjective results show that the proposed method achieves better noise suppression than previous methods. Show more

Keywords: Hearing aids, reature extraction, recurrent neural network, hardware algorithm implementation, speech enhancement

DOI: 10.3233/JCM-226897

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 6, pp. 3239-3254, 2023

Authors: Liu, Yuzhao | Hong, Shaojun | Jiang, Fan

Article Type: Research Article

Abstract: With the continuous emergence of new technologies and the efficient and convenient development of people’s daily life and work, the topic of intelligent building is becoming more and more hot. There are two kinds of data in intelligent building, namely static data and dynamic data. The digital expression of intelligent building is realized through the fusion and interaction of these two kinds of data. The building information model (BIM) stores a large amount of static data, including size, material, color and other data, while the Internet of Things (IoT) collects real-time dynamic data, including temperature, humidity, light and other data, …through sensors in every space within the building. The related problems of building data management in the design and operation and maintenance stages mainly include data collection relying on manual work, low data processing efficiency, scattered and disorderly data storage, difficult data interaction, slow speed, and low data visualization. In order to solve these problems, this paper combines the characteristics and advantages of BIM and IoT technology, analyzes the interaction and application value of BIM and IoT technology in the design and operation and maintenance stage of intelligent buildings, and constructs a data management system based on the Internet of things, a 3D visualization technology based on BIM, and an operation and maintenance management platform based on BIM and IoT. The application of BIM and IoT technology in the design and operation and maintenance stage of intelligent buildings has promoted the development of the construction industry. The Internet of Things can provide many functional services, such as real-time monitoring, remote tracking, automatic update, plan management and a series of personalized services and management, to achieve the management, control and detection of various things, and ensure the high-speed and effective operation of the system. The emergence of the building system of modern communication network technology has brought many conveniences to people, and there is still a broad space for development. The combination of new Internet of Things technology and intelligent buildings will certainly be an important development direction. Show more

Keywords: BIM, IoT, smart building, design and operation

DOI: 10.3233/JCM-226910

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 6, pp. 3255-3270, 2023

Authors: Kong, Linghua | Liang, Bo | Li, Ying | Wang, Ying | Wu, Xiaoqin

Article Type: Research Article

Abstract: A fourth-order partial differential model in this paper is called the thin-film equation in the field of fluid theory. The existence of the weak solution is obtained by solving two approximation problems. In order to perform the limit for small parameters in the approximation problems, the Galerkin method and the entropy functional method are both used. By means of some classical compactness results we can give the existence of nonnegative weak solutions. Finally, by redefining the entropy functional, the long-time exponential decay is given in the sense of L 1 -norm.

Keywords: Fourth-order degenerate equation, existence, long-time behavior, entropy functional

DOI: 10.3233/JCM-226854

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 6, pp. 3271-3281, 2023

Authors: Cao, Wensheng | Wang, Baolin | Xu, Jianzhuang | Lei, Jie | Huang, Meiying | Zhang, Ruifang | Bluth, Christoph

Article Type: Research Article

Abstract: Thermoelectric technology is commonly used in waste heat utilization of automotive internal combustion engines and widely combined with solar energy units to form solar thermoelectric generator systems. The structure of the Thermoelectric Generator (TEG) needs to be optimized in order to obtain better performance for wider applications. In this paper, the influence of temperature on the height of PN-type thermoelectric arms was analyzed using an improved one-dimensional heat conduction model with the calculus method. At the same time, both the calculation formula of the maximum output power and the calculation formula of various size parameters of the TEG was derived …when the influence of temperature on the performance of thermoelectric materials has been considered. In addition, the relationships among different size parameters were derived to obtain the maximum efficiency. The relationships include the most commonly used classical optimization relationship, that is, when the Seebeck coefficient, thermal conductivity and resistivity are averaged, the relationship is consistent with the classical optimization relationship. By considering the impact of temperature on the performance of thermoelectric materials, an improved calculation formula of the figure of merit (Z) was also given. The new optimization formula was compared with the classical optimization method by taking the maximum output power as the optimization index. In the case study, the temperatures of the cold end and the hot end were set at 330 K and 700 K, respectively. PbTe and PbSe were used as the materials with intermediate temperature, and Bi 2 Te 3 was used as the material with low temperature. Through theoretical analysis, it is found that the maximum output power of the new optimization formula can be higher than that of the classical optimization formula. Show more

Keywords: Size optimization, segmented thermoelectric generators, calculus, figure of merit

DOI: 10.3233/JCM-226874

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 6, pp. 3283-3302, 2023

Authors: Nan, Yifei | Yao, Nan | Huang, Yukun | Jiao, Dandan

Article Type: Research Article

Abstract: With the development of Internet of Things and fuzzy control theory, there are new opportunities for the conservation and utilization of museum artifacts. The traditional way of heritage restoration lacks the overall harmony of heritage restoration, which leads to the stagnation of heritage restoration level. At the same time, traditional heritage conservation is also limited to manual management, which seriously hinders the development of the overall level of museums. Artifacts are of great commemorative and research value and are objects that have been handed down to mankind for thousands of years and have been subjected to the natural environment for …a long time before being excavated. Heritage conservation requires not only restoring artifacts to the greatest extent possible, but also securing the environment in which they are displayed and stored to ensure that they can be preserved for as long as possible. But the following problems exist in the conservation of cultural relics (1) the lack of strict standards for the environment in which cultural relics are stored. (2) the professional competence of the staff is not strong. (3) The lack of a strict management system (4) heritage conservation technology is backward. To solve these problems our team constructed a fuzzy control method based on fuzzy control theory to assist in the restoration of cultural relics. The model constructed by fuzzy control theory solves this problem. The fuzzy control theory constructs a model for restoration of cultural relics, taking into account the overall harmony of the relics and the accuracy of the points, which is of great significance for the restoration of museum relics. At the same time through the Internet of Things technology to build a library heritage protection system, the main content of the system is (1) the use of Internet of Things technology to build a security protection system for cultural relics (2) the use of Internet of Things technology to detect the storage environment of cultural relics (3) the use of Internet of Things technology to optimize the management process of cultural relics (4) the use of Internet of Things technology to achieve real-time monitoring of the flow of information on cultural relics. And based on this, suggestions are made to (1) improve the museum heritage protection and utilization system (2) improve the infrastructure of museum heritage protection and build a good environment for heritage storage (3) improve the quality of heritage managers. The model constructed in the article has been tested in practice and is feasible, with certain practical and theoretical values. Show more

Keywords: Internet of Things, fuzzy control, museum, conservation and utilization

DOI: 10.3233/JCM-226895

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 6, pp. 3303-3314, 2023

Authors: Chen, Mengzhong | Tian, Guixian | Tao, Yongchao

Article Type: Research Article

Abstract: The internal connection and rule diversification of experience marketing data make it difficult to predict the future trend of data. Therefore, it is necessary to mine sports marketing data to guide future marketing strategies. In order to improve the effect of sports marketing data mining, this paper puts forward the algorithm research of experience sports marketing data mining in the cloud computing environment. In the cloud computing environment, based on the idea of data mining, a sports marketing monitoring system is designed and implemented to obtain a large number of evaluation data. The related data is extracted from the database …of sports marketing evaluation system, and the data warehouse is constructed by data preprocessing. Using association rule algorithm to realize the data mining module of sports marketing evaluation system, mining the data in the data warehouse, dividing the data set into various data blocks, and then scanning each data block for association rule mining. The experimental results show that the mining algorithm can effectively mine different factors that affect the marketing status. The customer satisfaction obtained after the practical application of this method reaches more than 90%. Sports marketing enterprises can establish benign interaction between users and enterprises according to the mining results of this method, further meet the personalized and differentiated needs of consumers, thereby expanding the influence of enterprises and promoting the realization of marketing. Show more

Keywords: Cloud computing, experiential, sports marketing, data mining

DOI: 10.3233/JCM-226908

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 6, pp. 3315-3330, 2023

Authors: Chen, Yuan | Cao, Wenqi | Xu, Wenjie | Li, Juan

Article Type: Research Article

Abstract: The rapid development of urbanization has led to the gradual increase of urban residential density. Relatively speaking, the spectrum resources are increasingly scarce, which leads to the increasingly serious interference between communities, and the system performance is also greatly limited. Therefore, in order to improve the efficiency of spectrum resources and solve the problem of user interference between cells, the experiment combines the advantages of clustering by fast search and find of Density Peaks Clustering (DPC), and proposes a two-step clustering algorithm. This method is proposed based on the core idea of DPC after in-depth study of the downlink multi-cell …orthogonal frequency division multiplexing system architecture. The proposed model is compared with Matching Pursuit (MP) algorithm and Graph-based algorithm with the sum of clustering distance R s , 1.5 ⁢ R s . The results show that the two-step clustering algorithm can significantly improve the spectrum efficiency and network capacity while ensuring good quality of service under the condition of channel tension or not. In addition, the minimum SINR value of the two-step clustering algorithm can reach 75 dB. Compared with the 220 dB of the Graph-based algorithm with the clustering distance R s , it has extremely obvious advantages. Therefore, the two-step clustering algorithm constructed in this study can effectively reduce system interference, and has certain research and application value in solving the problem of mobile communication channel resource shortage. Show more

Keywords: Clustering algorithm, interference environment, channel resource, OFDM system, resource allocation

DOI: 10.3233/JCM-226905

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 6, pp. 3331-3345, 2023

Authors: Liu, Jiaxing | Zhu, Yongchao | Cui, Yin

Article Type: Research Article

Abstract: In an age of big data and information overload, recommendation systems have evolved rapidly. Throughout the traditional design of interior spaces, the specialised nature of the work and the high rate of human involvement has led to high costs. With the continuous development of artificial intelligence technology, it provides a favourable environment for reducing the development cost of the system. This study proposes a two-stage modelling scheme based on deep learning networks for the intelligent design of display space layouts, divided into two parts: matching and layout, which greatly improves design efficiency. The research results show that through comparison tests, …its prediction accuracy reaches more than 80%, which can well meet the matching requirements of household products. The training number of Epochs is between 15 and 30, its training curve tends to saturate and the best accuracy can reach 100%, while the running time of the hybrid algorithm proposed in this study is only 20.716 s, which is significantly better compared with other algorithms. The proposed hybrid algorithm has a running time of only 20.716 s, which is significantly better than other algorithms. The approach innovatively combines deep learning technology with computer-aided design (CAD), enabling designers to automatically generate display space layouts with good visibility and usability based on complex design constraints. This study presents an innovative application of the research methodology by combining quantitative and qualitative methods to analyse the data. The application of both methods provides a more comprehensive understanding of the problem under study and provides insight into the key factors that influence the results. The findings of this study can provide useful insights for policy makers and practitioners. Show more

Keywords: Recommendation systems, artificial intelligence, deep learning network, display space layouts, matching requirements

DOI: 10.3233/JCM-226912

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 6, pp. 3347-3362, 2023

Authors: Zhang, Xuefeng | Zhang, Jianhong

Article Type: Research Article

Abstract: Campus security issues have always been a hot topic of concern from all walks of life. To analyze the changes in network public opinion of college students’ campus security incidents, this study proposes to classify campus security incidents and track related topics. The classification algorithm and topic tracking algorithm for campus security incidents based on Internet technology are studied, and a prototype system of campus security incidents based on Internet is designed for analysis. The research results show that the Internet-based campus security incident prototype system can classify campus security incidents more accurately, and can also track security incidents on …related topics, which provide support for student security management to a certain extent. This technology will be applied to the tracking and classification of college safety accidents, and provide certain reference for ensuring college students’ campus safety. Show more

Keywords: Topic extraction, text classification, topic tracking, security incidents, campus security classification, prototype system

DOI: 10.3233/JCM-226918

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 6, pp. 3363-3373, 2023

Authors: Zhang, Runze

Article Type: Research Article

Abstract: This paper is focused on the field of computer vision in order to investigate the presentation properties of retinal blood vessels. Combining the structure of convolutional neural networks, activation functions, and common metrics in semantic segmentation, a dynamic network model for retinal vessel segmentation based on computer vision is constructed. The purpose of this paper is to discuss the results of retinal vascular segmentation based on computer vision. The image connection and alignment pattern selection process is also established to match retinal vessel images by computer vision. The performance of the dynamic network constructed here and the results of retinal …vessel segmentation were then analyzed in three publicly available datasets, DRIVE (digital retinal images for vessel extraction), CHASE_DB1, and STARE (structured snalysis of the retinal. The ROC (retinopathy online challenge) curves on all three datasets exceeded 0.9, showing high performance, and the area under the PR curve exceeded 0.88. The accuracy of the results for retinal vessel segmentation was around 96%. Based on the semantic segmentation direction in the field of computer vision in this study, the dynamic network for retinal vessel segmentation can be well constructed. Show more

Keywords: Convolutional neural network, computer vision, open dataset, public dataset, retinal vasculature, semantic segmentation

DOI: 10.3233/JCM-237110

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 6, pp. 3375-3389, 2023

Authors: Yu, Jing | Guan, Rongqiang | Zhang, Cungui | Shao, Fang

Article Type: Research Article

Abstract: During the long-term operation of the photovoltaic (PV) system, occlusion will reduce the solar radiation energy received by the PV module, as well as the photoelectric conversion efficiency and economy. However, the occlusion detection of the PV power station has the defects of low efficiency, poor accuracy, and untimely detection, which will cause unknown system losses. Based on the deep learning algorithm, this paper conducts research on PV module occlusion detection. In order to accurately obtain the occlusion area and position information of the PV panel, a PV module occlusion detection model based on the Segment-You Only Look Once (Seg-YOLO) …algorithm is established. Based on the YOLOv5 algorithm, the loss function is modified, the Segment Head detection module is introduced, and the convolutional block attention module (CBAM) attention mechanism is added to achieve the accurate detection of small targets by the algorithm model and the fast detection of the PV module occlusion area identify. The model performance research is carried out on three types of occlusion datasets: leaf, bird dropping, and shadow. According to the experimental results, the proposed model has better recognition accuracy and speed than SSD, Faster-Rcnn, YOLOv4, and U-Net. The precision rate, recall rate, and recognition speed can reach 90.52%, 92.41%, and 92.3 FPS, respectively. This model can lay a theoretical foundation for the intelligent operation and maintenance of PV systems. Show more

Keywords: PV, object recognition method, deep learning, energy efficiency

DOI: 10.3233/JCM-237108

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 6, pp. 3391-3405, 2023

Authors: Wu, Qianqian | Chen, Kejia

Article Type: Research Article

Abstract: This paper aims to improve the efficacy assessment of County-level Integrated Health Organizations (CIHOs) in China. By analyzing CIHOs in Fujian Province, an empirical study was done to confirm the efficacy of the combined weighted-grey synthetic evaluation approach. The combined weights of evaluation indicators are calculated using the suggested method, which combines the analytical network process method and the coefficient of variation method. The grey center points of the CIHOs to be evaluated are determined, the whitenization weight functions is constructed, a comprehensive evaluation matrix is established, and then the composite score values are calculated and ranked. A more thorough …evaluation of CIHOs can be accomplished scientifically using this comprehensive approach. Show more

Keywords: Combination weighting, grey synthetic evaluation, County-level Integrated Health Organizations, hierarchical diagnosis and treatment system, efficacy assessment

DOI: 10.3233/JCM-237009

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 6, pp. 3407-3427, 2023

Authors: Dou, Zhenlan | Zhang, Chunyan | Wu, Juntao | Wen, Xuan

Article Type: Research Article

Abstract: The use of flexible resource information on the user side helps to increase system efficiency. Power system power variation becomes more pronounced with the access to renewable resources. Therefore, the study proposes a parameter identification and modeling method for the physical and social integration characteristics of flexible resource information on the user side. Taking the user’s air conditioning load as the object, the thermal dynamic model of the air conditioning building is constructed using equivalent thermal parameters, and the variable frequency air conditioning load is embedded in the battery model. The model parameter identification is carried out using high-dimensional model …expression technology. According to the experimental data, in options 2 and 3, the system operator makes power purchases based on the storage status of the lithium battery or virtual battery, increasing the number of power purchases when the price of electricity is low and decreasing the number of power purchases when the price of electricity is high. This effectively reduces the system operator’s electricity costs. The error of multiple linear regression modelling varies widely, with relative errors up to 0.75 and an average relative error of 15.1%. The relative error of modelling based on the high-dimensional model expression technique is in the range of 0 to 0.2, with an average relative error of 5.5%. The results show that compared with multiple linear regression models, high-dimensional model representation technology has higher modeling accuracy and can accurately identify the parameters of the air conditioning load aggregation model, solving the problem of difficult parameter calculation in the practical application of the air conditioning load aggregation model, and providing technical support for power system regulation. Show more

Keywords: User-side resources, data fusion, parameter identification, time scale, high-dimensional representation, air conditioning load, power dispatch

DOI: 10.3233/JCM-237011

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 6, pp. 3429-3445, 2023

Authors: Peng, Hua

Article Type: Research Article

Abstract: A temperature sensor based on the combination of a temperature variable oscillator and a linear controlled oscillator is proposed, which can realize temperature detection through the characteristic of frequency changing with temperature. The changing frequency is generated by the two oscillators, and by adjusting the frequency linear change, the linearity of the sensor is also increased. Through the frequency digitizer, the digital signal can be output. Compensation through a process compensator improves the accuracy of the sensor after a single point correction. After conducting tests on 15 experimental samples, the accuracy was achieved within ± 1.2 ∘ …C across the temperature range of 0 to 125 ∘ C, demonstrating a highly favorable level of precision. Show more

Keywords: Temperature sensor, energy conversion rate, low power consumption

DOI: 10.3233/JCM-237012

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 6, pp. 3447-3460, 2023