bluuebunny/crossref_metadata_2025 huggingface dataset:
DIGITAL ENTITIES COMMUNICATION WITHIN A BLOCKCHAIN-ENABLED INTELLIGENT TRANSPORT SYSTEM
Authors:   State University of Intellectual Technologies and Telecommunications, Babich Y. , Bagachuk D. , Bukata L. , Hlazunova L. , Shnaider S.
Published: November 2023

Nowadays the blockchain is considered to be an integral part of intelligent transport systems. Intelligence of a transport systems allows to increase road safety, wisely utilize systems’ resources and provide additional services to participants. However, blockchain implementations for intelligent transport systems must be adopted to the peculiarities of such systems. This work analyzes existing blockchain solutions, their features, advantages, drawbacks, and presents a consortium type blockchain implementation for an intelligent transport system. This implementation includes a two-layered architecture of digital entities interaction, consideration for digital entities distribution over the layers, consensus mechanism selection and its implementation, trust model considerations, and a block structure for the proposed blockchain implementation. The article also brings the solution to the single point of failure vulnerability of the proposed blockchain system. Thus, the paper covers key aspects of a blockchain design for an intelligent transport system.
Sum criteria for the task of testing the independence of random numbers sequences
Authors:   State University of Intellectual Technologies and Telecommunications, Odegov S. , Babich Yu. , Bagachuk D. , Kochetkova M. , Petrovych J.
Published: November 2023

Random and pseudo-random number generators (RNGs) were initially used to solve numerical integration problems (the Monte Carlo method). Currently, the RNGs are used in cryptography and simulation modeling. The latter one typically uses RNGs based on computer algorithms and programs. This article presents a method aimed at testing the independence of random numbers sequences (RNSs). The method is based on the sums properties of independent random variables. Algorithms based on this method operate fast. Here not only the instant statistics including correlation coefficients are analyzed, but also the properties of empirical functions of RNSs distributed sums. In this article, the analysis is limited only to the case of uniformly distributed RNSs. The calculations performed prove the high selective efficiency of the proposed criteria, which allows to reliably distinguish between dependent and independent RNSs. Due to the high operation speed, the proposed algorithms and criteria can be used for testing very long RNSs (especially in Big Data tasks).
METHODOLOGY FOR MEASURING AND ENHANCING THE QUALITY OF VOWI-FI AND VOLTE VOICE COMMUNICATION ON CRITICAL INFRASTRUCTURE OBJECTS
Authors:   Lviv Polytechnic National University, Beshley M. , Kochan O. , Beshley H. , Shpur O.
Published: November 2023

Critical infrastructure, which includes facilities necessary for the normal functioning of society (e.g., power plants, transportation hubs, hospitals, etc.), requires reliable communication to ensure uninterrupted operation and coordination of actions in emergency situations. This paper presents a methodology for measuring and improving the quality of voice communication via VoWi-Fi and VoLTE technologies at critical infrastructure facilities. One of the key aspects of the methodology is the creation of a test environment that reflects the real working conditions at critical infrastructure facilities. This includes using devices that support VoWi-Fi and VoLTE technologies, setting up Wi-Fi networks and mobile Internet access, and selecting standard test scenarios to assess voice quality. An important part of the methodology is measuring various communication quality parameters, such as signal strength, delay, and packet loss. For this purpose, special measurement tools are used, including the Ping Monitor and G-NetWi-Fi apps on the Android platform. The obtained data allow us to objectively assess the effectiveness of VoWi-Fi and VoLTE technologies at critical infrastructure facilities, in particular, using the proposed MOS (Mean Opinion Score) metric. It has been established that one of the main disadvantages of the traditional approach to using VoWi-Fi and VoLTE is the lack of automatic switching between these technologies in the event of a deterioration in the quality of one of them, which can lead to unsatisfactory perception of the conversation by the user. The proposed methodology involves the use of a MOS metric monitoring system that continuously measures the quality of voice communication on both technologies and implements a mechanism for adaptive switching between VoLTE and VoWi-Fi. This allows for automatic switching to the optimal technology depending on current conditions and provides the best quality of service for the user. In general, the article provides important information for implementing and optimizing these technologies at critical infrastructure facilities to improve the reliability and efficiency of voice communications.
GENETIC ALGORITHM AS A TOOL FOR SOLVING OPTIMISATION PROBLEMS
Authors:   Lviv Polytechnic National University, Pyrih Ya. , Klymash M. , Pyrih Yu. , Lavriv O.
Published: November 2023

The article focuses on the peculiarities of using the genetic algorithm (GA) for solving optimization problems. It provides a classification of optimization problems and offers a detailed description of the structural elements of the GA and their role in solving the traveling salesman problem. To assess the impact of GA parameters on its effectiveness, a study on the influence of population size on the length of the traveling salesman's route is conducted. Based on the obtained results, it is shown that population size affects the route length, and the optimal population size for this problem is found to be 150. Using the tournament selection operator, the ordered crossover operator, and the inverse mutation operator, we obtained a salesman's route of 9271.735 km, which, based on the results presented in this paper, is optimal for visiting 29 cities.
MICROSTRIP DUAL-BAND TRANSFORMER FOR COMPLEX IMPEDANCES WITH DIFFERENT VALUES IN FREQUENCY BANDS
Authors:   Lviv Polytechnic National University, Oborzhytskyy V. , Protasevych V.
Published: November 2023

The article is devoted to the development of a scheme of a dual-band transformer of complex load impedances into a given real value of the input resistance and to the method of calculating the electrical parameters of the elements in its composition. The proposed scheme consists of two segments of single lines, supplemented by a parallel branch on the input side. To remove restrictions on the possible values of complex impedances, which are generally different in different frequency bands, the circuit can be supplemented with two additional line sections, the parameters of which are chosen arbitrarily. It can be a section for connecting the load to the circuit, as well as a section in the form of a branch from the side of the load. Verification of the proposed transformer circuit was carried out by comparing the results of its computer simulation with known results.
IMAGE QUALITY ASSESSMENT BY CONVOLUTIONAL NEURAL NETWORK USING THE TID2013 DATABASE
Authors:   Lviv Polytechnic National University, Romanyshyn Yu. , Yelmanov S. ,   Special Design Office of Television Systems, Andrukhiv T. ,   Lviv branch of JSC "Ukrtelecom", Teglivets O. ,   Lviv Polytechnic National University
Published: November 2023

The article is devoted to the problem of automatic image quality assessment by a convolutional neural network when using the common TID2013 image database for training the neural network. The TID2013 database was chosen for the reason that it contains 25 base real-world images, which were distorted from these images using 24 different distortion methods and with 5 distortion levels, creating a sufficiently large database of 3000 images for training the neural network. For each image, an average expert assessment of its quality is given. All input images for the neural network are divided into two groups - the training set and the validation set. We consider two options for solving the problem of building and training a neural network and the corresponding data structure. The first option is reduced to the task of numerical regression using the numerical values of expert assessments. The second option is the task of classifying the training and validation images into 5 classes according to their quality corresponding to distortion levels. Keras and TensorFlow software tools are used to build and study the neural network. The neural network structures and relevant parameters for training each layer are presented, as well as graphs of accuracy changes for training and validation images during training.
Aplication Of Crossword Puzzle Learning Media To Improve Students' Understanding In Class X Gography Learning Of SMAN 1 Matur
Authors: Rahmi Lailatul , Suryani Ade Irma , Afryansih Nila
Published: November 2023

This research aims to determine the effect of applying crossword puzzle learning media to improve students' understanding of geography learning for class X SMA N 1 Matur. This research method is quantitative with a quasi-experimental type of research. This research was conducted at SMA N 1 Matur with a research population of all class X students of 152 students. Meanwhile, the research sample was determined using a random sampling technique and the results obtained were class XE-2 as a control class with 31 students and XE-3 as an experimental class with 30 students. Test scores are used to reveal students' level of understanding. The analysis technique used to test the hypothesis is the Mann Whitney test. The research results show that the crossword puzzle learning media has an effect on increasing students' understanding of geography learning with an average percentage of 23.83. This is also proven by the results of hypothesis testing using the Mann Whitney test with a significance value of 0.000, which is less than 0.05, which means that there is an influence of the use of crossword puzzle learning media on students' level of understanding in geography learning at SMA N 1 Matur.
In Vitro Characterization of the Interactions of Human Serum Albumin with Rosuvastatin and Atorvastatin Using Fluorescence Spectroscopy and Molecular Modeling
Authors: Smajlović Aida , Hatkić Alen , Dautović Esmeralda , Pavlić Daria , Softić Adaleta , Srabović Nahida , Halilčević Dalila , Šarić Asja
Published: November 2023

Human serum albumin (HSA) is one of the most important transporters for drugs in the systemic circulation. In this study, we investigated the interaction of rosuvastatin (ROS) and atorvastatin (ATO) with HSA. Binding of a drug molecule to HSA significantly affects the pharmacokinetics of the drug as it increases drug solubility in plasma, decreases toxicity and protects molecules from oxidation. This study was made using fluorescence spectroscopy and molecular modeling approach. Fluorescence spectra were recorded for two different statins brands at seven different concentrations. The results revealed that both statins (ROS and ATO) cause the fluorescence quenching of the HSA solution. ROS and ATO binds strongly to HSA with the binding constant (Kb) of 1.0246×106 and 0,9018×106, respectively. In addition, it was observed that high concentrations of ATO cause a shift of the emission maximum towards longer wavelengths (red-shift), which may be due to the unfolding of protein chains or denaturation. Furthermore, it was calculated that HSA possesses one binding site for ROS and ATO. Results from molecular docking showed that ROS has a higher affinity for Sudlow site I compared to Sudlow site II and the main binding forces are hydrogen bonds. ATO has nearly equal affinity for both binding sites on HSA, and the main binding forces are hydrophobic interactions.
Evaluasi Evaluasi Pemberdayaan Usaha Mikro Kecil dan Menengah (UMKM) Sebagai Upaya Meningkatkan Daya Saing Usaha di Kelurahan Baratajaya Kecamatan Gubeng Kota Surabaya
Authors: Sartyka Magdalena
Published: November 2023

Abstrak

Pemberdayaan Usaha Mikro, Kecil dan Menengah (UMKM) sangat penting untuk meningkatkan ekonomi lokal. Namun, masih  banyak kendala dan permasalahan dalam pemberdayaan UMKM di Indonesia. Salah satu contoh yang relavan adalah minimnya pemberdayaan UMKM di daerah kelurahan Baratajaya. Pada Perda Kota Surabaya Nomor 01 Tahun 2021 Tentang Pemberdayaan Usaha Mikro pada pasal 1 ayat 10 merupakan perancangan yang di buat untuk menyusun rangkaian pemberdayaan UMKM di daerah kota Surabaya. Kelurahan Baratajaya di pilih sebagai salah satu sampling yang menerapkan kebijakan pemberdayaan UMKM tersebut. Untuk mengukur penerapan evaluasi pemberdayaan tersebut maka di gunakanlah teori Wiliiam Dunn dengan melihat indikator efektivitas, efesiensi,kecukupan,pemerataan,responsivitas, ketepatan. Penelitian menggunakan jenis kualitatif yang berbentuk deskriptif. Hasil penelitian ini di peroleh dari Kelurahan Baratajaya menunjukan bahwa modal yang di berikan pemerintah tidak merata, kurangnya respon masyarakat dalam mengikuti sosialisasi dan pelatihan, tempat pemasaran yang kurang strategis. Kurangnya pemberdayaan UMKM berdampak pada rendahnya produktivitas, rendahnya mutu produk, dan rendahnya daya saing produk UMKM di pasar. Selain itu, UMKM juga seringkali kesulitan dalam memenuhi standar kualitas produk dan tuntutan pasar yang semakin meningkat.
Interrelationship of Visual Elements of Digital Media Artworks Based on Spectral Graph Theory
Authors: Zhang Jian , Tan Yang
Published: November 2023

This paper first explores the composition of visual elements in modern digital media artworks, extracts the graphical element features of visual elements by improved SIFT algorithm, and classifies and recognizes the graphical elements using by SVM algorithm. Secondly, the extracted and categorized graphical elements are represented by Laplace feature vector correlation spectra in combination with spectral graph theory to study the mutual relationships between the graphical elements. Finally, some graphic elements in modern digital media artworks are used as examples to explore the performance and interrelationship of graphic feature extraction, recognition, and classification. The results show that the vector eigenvalues of spectral graph theory are categorized into [0], (0,100], (100,200], [200, ∞), and the corresponding interrelationships are one-to-one, one-to-many, many-to-one, many-to-many, respectively.
Adaptive models of digital government governance in smart shared services
Authors: Yan Jin , Yang Jing , Yin Chenghao , Hu Weiqiang
Published: November 2023

Based on the basic platform supporting the overall e-government framework, this paper builds an application system for the intelligent management of government departmental business and three major databases of basic, departmental and thematic categories. Secondly, under the collaborative information governance model of blockchain, the data are jointly managed by all the regional governments in the distributed network, plus the application of smart contracts makes each governance link respond intelligently. Finally, an empirical study is conducted on employees of three types of government departments to analyze the regularity of the influencing factors of smart shared services in digital government. The results show that the regression coefficient of the strategic policy of government agencies on the degree of realization of information sharing is 0.829. The regression coefficient of the platform organization of government agencies on the degree of realization is 0.705. To promote the construction of digital government in China, this paper utilizes blockchain technology in digital government governance.
Semantic pattern recognition of special English words based on data corpus technology
Authors: He Qingxia
Published: November 2023

This paper first researches special English vocabulary teaching defines special English vocabulary definitions and characteristics based on special English usage, and proposes strategies for learning special English vocabulary. The study involves studying the semantic recognition of special English using data corpus technology. Based on data corpus technology, the semantic structure of English vocabulary is analyzed according to Chinese analysis and word vectors, and to facilitate the extraction of English semantic features, IOB2 labeled training corpus is needed. Then, the CRFs network algorithm in the data corpus technology is used to construct the special English semantic recognition model, the lexical annotation set is refined on the preprocessing, and at the same time, the semantic features are added to the recognition model of CRFs mainly used to recognize the noun phrases of gerund class and the experimental analysis is carried out on the recognition of the semantic patterns of the special English vocabulary. The results show that among high school students with high English semantic recognition ability, the correlation coefficient between their aggregates and reading level is 0.753, the correlation coefficient between collocated phrases and reading level is 0.772, and there is a high correlation between the ability to recognize aggregates, collocated phrases, and sentence framing phrases and reading level. This study is designed to improve the efficiency of English reading and communication and has a facilitatory effect on recognizing English lexical semantic patterns.
Artificial intelligence technology drives brand image design and promotion strategies of cultural and creative products
Authors: Ding Bin
Published: November 2023

In this paper, relevant cultural materials were first collected and extracted using knowledge mapping and retrieval tools, and the co-occurrence analysis method was used to construct the co-occurrence relationship matrix between keywords. Combined with the method of graphic vectorization, the traditional cultural and creative product design patterns and motifs are directly scanned to extract the design prototype’s outer contour and polygonal path. Next, the recommendation process of cultural and creative products was realized by combining collaborative filtering and the TransD-CF algorithm. Finally, the influence of cognitive attitude and purchase behavior indicators on cultural and creative products was analyzed through correlation. The results show that the difference between genders using essay on hobby collection of cultural and creative products is 0.203, and the practicality requirement of cultural and creative products decreases by 0.09 for every 100 yuan increase in price. This paper presents a fresh perspective on cultural and creative promotion and plays a guiding role in design practice with the aid of artificial intelligence.
Comparative Analysis of Business English and Everyday English Translation Stylistic Features Based on Keras Neural Networks
Authors: Xing Jiawei , Rong Xiuli , Chen Guomin
Published: November 2023

Based on the formal definition of semantic language and specific natural language, the research adopts the Word2vec model to map words into a low-dimensional dense space and performs semantic modeling by unsupervised learning through a large amount of unlabeled data to realize the vectorized representation of translated text. For the vectorized text, the text features are combined and filtered based on the TextCNN network, and the TextCNN network is implemented under the Keras framework. Based on the TextCNN network of Keras, the stylistic features of Business English and Daily English are compared at three levels: lexical, syntactic and discourse. Business English was rated 23.6 points higher in terms of conciseness of diction compared to everyday English, and 28.7 points improved the modesty of diction compared to everyday English. This study furthers the improvement of various English translation types.
Symbolic Graphic Emotion Design in Gift Packaging Based on Multimodal Emotion Fusion
Authors: Yang Chun
Published: November 2023

This paper firstly discusses the value significance of emotional packaging design, outlines its design principles and methods, and explains the thinking structure of emotional design. Secondly, the feature detection of symbolic graphics is realized using a mixture of regression and segmentation, and a multilevel cross-modal perceptual emotion recognition model is constructed based on the collaborative attention mechanism of the cross-modal Transformer and recurrent neural network. Finally, a dataset test and empirical analysis were conducted to verify the model’s effectiveness in this paper. The results show that the multimodal fusion model has better recognition performance than the unimodal and bimodal models, with F1 values of 0.914, 0.923, and 0.902 for neutral, positive, and negative emotions, respectively. Symbolic graphics in the emotional design of gift packages are mainly expressed in the form of intuition, vividness, and validity to emphasize the diversity of symbolic graphics in the emotional design of gift packages. This shows that multimodal emotional fusion can be realized to analyze the emotional design of symbolic graphics of gift packaging and promote the emotional innovation design of symbolic graphics of gift packaging.
Systematic integration of information big data and physics teaching based on deep learning algorithms
Authors: Tao Guanqi , Wang Yinshu , Fan Yina
Published: November 2023

This paper first investigates the main performance of the shackles of traditional physics teaching on students and its negative consequences and then designs a physics teaching process model based on the teaching environment of information big data and constructs a framework of the physics teaching system by utilizing data mining technology. Then, the physics teaching system is modeled based on the artificial neuron model and recurrent neural network, and the attention mechanism is used to improve the overall generalization performance of the model. Finally, the application effect of the physics teaching system is compared through empirical evidence. The results show that there is a deviation in the mean value of the two classes; the average score of the experimental class is 75.552 points, and the average score of the control class is 65.910 points, and there is a difference of 9.642 points between the two classes’ mean values. The data show that applying a physics teaching system can improve the learning status quo of students’ mechanical imitation, help students better master knowledge, enhance students’ ability to use information technology and achieve better teaching results than traditional teaching.
Research on the Path of Cultivating Socialist Core Values through Campus Sports Data Visualization in the Context of Healthy China
Authors: Xu Xiaoling
Published: November 2023

This paper firstly researches the role of sports in the cultivation of socialist core values in the context of healthy China, which is mainly embodied in the establishment of the correct goal to strive for in life and the establishment of a sense of fair and just social responsibility, and puts forward the path of socialist core values cultivation. Secondly, the socialist core values are studied by visualizing campus sports data. According to the LSTM neural network with good visualization and computational recognition ability, a campus sports data visualization model based on LSTM is constructed, and sensors are used to obtain the feature extraction of students’ sports. Based on the feature values, the feature state’s output value is computed using the LSTM neural network. Considering the extraction and feature loss problem in the calculation process, it is necessary to select a suitable loss function to optimize it and the example analysis of socialist core values based on LSTM data visualization. The results show that the higher the level of soccer skills, the higher the level of “self-confidence”, “strength”, “respect”, “responsibility”, “law-abiding” and “patriotism” indicators, the higher the level of “self-confidence” (t=3.736, p=0.005) indicators. The difference is significant. This study has contributed to socialist core values in the context of sports.
Strategies and Path Analysis of Choral Conducting Teaching in Colleges and Universities in the Context of Multimedia Era
Authors: Pu Ziyan
Published: November 2023

This paper first presents the O2O teaching strategy for choral conducting and analyzes specific methods and processes for teaching choral conducting using the O2O model. Then, the TFAHP choral conducting teaching evaluation model was constructed, and the judgment matrix was used to calculate the comprehensive degree of fuzzy value of the evaluation criteria and to compare the importance value between the indicators. Lastly, the impact of teaching was evaluated using indicators such as grades, comprehensive performance, and learning emotions. The mean value of the achievement of all knowledge modules is much higher than the mean value before teaching, and the average value of the achievement of each knowledge module is between 0.6-0.85, and the P value of each knowledge module is lower than 0.01, which is an extremely significant difference, indicating that the teaching effect is significant. The innovative development of music education is promoted, and this study greatly impacts choral conducting education.
Influence of Professional Mindset on Job Performance of College Teachers Based on the Background of Educational Psychology
Authors: Chen Jiebin , Jiang Yongzhi
Published: November 2023

This paper constructs a PLS structural equation model based on structural equation modeling and PLS computational methods. The focus is on the expression of the measurement model and the application steps while analyzing the general measurement model of structural equations. The PLS method is applied to solve the structural equation model to achieve the best summary of information in the system of independent variables. Combining the structural equation modeling of two simple variables, the structural equation modeling based on PLS was designed to analyze the path of influence of professional mindset on job performance. The results show that a positive teaching mindset can somewhat improve job performance. The z-value of the total effect of professional mindset on innovative performance was 7.798, and the upper and lower limits of the Boolstrap’s bias-corrected 95% confidence interval and percentile 95% confidence interval ranged from (0.751,1.229) and (0.745,1.237), respectively.
Data Mining Technology Oriented Integration Strategies for Habitat Improvement and Rural Tourism Development in China’s Agricultural and Rural Villages
Authors: Jian Zhengqing , Ren Zhengshi
Published: November 2023

This paper firstly calculates the weights of each system and indicator in the index system through the gray correlation method and comprehensively evaluates the status of the regional rural tourism development and the level of human habitat environment as well as the characteristics of temporal and spatial evolution. Constructing the spatio-temporal coupling and coordination relationship between rural tourism and the human habitat environment reveals the obstacle factors of rural tourism development and human habitat environment development level and the coupling mechanism of the two. Finally, the development process of the rural tourism industry in Kaili, Xingyi, and Zunyi, as well as the improvement and optimization process of the rural habitat environment, are empirically studied. The results show that the coupling coordination degree between the rural tourism development level and the optimization level of human habitat environment in the three regions increased from 0.06 in 2012 to about 0.48 in 2021, indicating that the overall coordination level between the rural tourism development and the optimization of the human habitat environment is continuously improving during the period. This paper is significant for the new path of economic development and habitat-environment coordination in rural areas.
The effect of emotional labour on professional well-being among early childhood teachers based on structural equation modelling
Authors: Ren Ting , Li Xianyin
Published: November 2023

This paper strategically classifies the emotional labor of early childhood teachers and explores the relationship between emotional labor, emotional exhaustion, occupational well-being, and occupational self-efficacy based on a five-dimensional model of teachers’ occupational well-being. A structural equation model was developed to explore the mediating effects of early childhood teachers’ psychological capital between surface behavior, passive depth behavior, and occupational well-being, using psychological capital as a mediating variable. Based on the mediation analysis of the structural equation model, parameter identification and parameter design were performed to conduct descriptive statistics, correlation and regression analyses of emotional labor and occupational well-being of kindergarten teachers occupational well-being, and to test the moderating effect of social support in the multimedia context. Deep play significantly and positively predicted the dimensions of emotional well-being, professional well-being, interpersonal harmony, environmental satisfaction, and total occupational well-being scores, i.e., β= 0.35, 0.42, 0.40, 0.21, 0.36, P<0.01.
Linkage between strategic human resource management and organisational effectiveness in enterprises combining multivariate statistical analysis methods
Authors: Zhou Lina
Published: November 2023

This paper first proposes strategic human resource management based on the competing value architecture, discusses the dimensions and measurement system of strategic human resource management, and carries out the K-mean clustering analysis on the contents of strategic human resource management. Secondly, constructs a relationship model of strategic human resource management that affects organizational effectiveness. Finally, organizational effectiveness was examined using various multivariate statistical analysis methods, such as stepwise regression. The results show that the path coefficients of strategic human resource management on organizational effectiveness are 0.43, 0.33, 0.51 and 0.60, respectively, and the standardized values of these path coefficients range from 0.33 to 0.60, which further confirms the positive impact of strategic human resource management on organizational effectiveness. The paper’s research provides a guide for promoting the healthy development of enterprises and enhancing the overall level of human resource management.
Evaluation Indicator System and Theoretical Model of Ice-Snow Tourism Destination Suitability Applying Time Series Data--Taking Jilin Province as an Example
Authors: He Rui , Liu Hongyan
Published: November 2023

This paper uses time series data to evaluate the suitability of ice-snow tourism destinations in Jilin Province. Firstly, based on the relevant data of snow and ice tourism development in Jilin Province, 5 dimensions, 15 indicators and 20 factors were selected to construct the model, and AHP and entropy method determined the combined weight value of each factor. Then, the evaluation model of the ice-snow tourism destination in Jilin Province was studied by using single-factor niche suitability and comprehensive niche suitability. Finally, the single-factor niche suitability and comprehensive niche suitability of ice-snow tourism destinations in Jilin Province were analyzed, respectively. Changchun has 6 ski resorts, receiving 41% of the total number of tourists in the province. Changchun’s GDP accounts for 50.3% of the province, and the road density reaches 1.182 kilometers/square kilometers. The proportion of grade 1-4 area in Jilin Province is 24.25%, 29.36%, 28.63% and 17.76%, respectively.
Transformation of Numerical Efficacy of Civic Building in College Physical Education Courses Combined with Matrix Modeling
Authors: Ju Linlin
Published: November 2023

This paper firstly analyzes the developmental problems of the construction of the sports course ideology and politics in colleges and universities, starting from the value function of the construction of the sports course ideology and politics. Secondly, it constructs the evaluation index system for the construction of college sports course ideology and politics, utilizes the subordinate criterion function of the subordinate matrix model for the weight calculation of the index subordinate coefficients, and calculates the positive and negative ideal solutions and relative posting progress of each index through the TOPSIS method. Finally, in order to analyze the transformation of the number-based effectiveness of the construction of the college sports course ideology and politics, an example verification analysis was carried out. The results show that the transformation of digital effectiveness in the construction of the ideology and politics of sports courses in colleges and universities is mainly carried out through the shaping of students’ values, the cultivation of ideals and beliefs, and the analysis of the weights of the indexes points out the direction of the development of the construction of ideology and politics of sports courses. This shows that the transformation of the digital effectiveness of the ideological and political construction of physical education courses needs to start from the spirit of sports, which in turn promotes the ideological and political construction of physical education courses to boost the quality of physical education disciplines.
Realization and Application of Knowledge Sharing Recommendation System for Power Grid Enterprises
Authors: Lin Zhengping , Zhou Yuzhong , Yang Yuliang , Shi Jiahao
Published: November 2023

Facing the complex knowledge of power grid enterprises, this paper builds and designs a system for sharing project knowledge. The design pattern of MVC is adopted as the business logic architecture of the system, and a large-scale distributed application based on JavaEE architecture is used. In the knowledge recommendation method, a recommendation algorithm based on knowledge context is proposed, and the similarity between different entities is calculated by matching the knowledge ontology, thus realizing the recommendation of enterprise knowledge based on entity similarity. Meanwhile, the recommendation effect is analyzed by stress testing the recommendation service interface as a performance test characterization of the system and combined with the hit rate. The hit rate of recommendation based on knowledge context is 0.124 higher than that of BPRMF, 0.104 higher than that of NeuMF, and 0.083 higher than that of CKE. This system is able to effectively improve the knowledge-sharing efficiency of power grid enterprises.
Utilizing Knowledge Graph to Build a Scientific and Technological Knowledge Management System for Grid Industry
Authors: Zhou Yuzhong , Lin Zhengping , Wang Qinghong , Shi Jiahao , Yang Yuliang
Published: November 2023

Based on knowledge mapping, this paper designs the application architecture of the scientific and technological knowledge management system for the power grid industry and proposes the design of key modules such as knowledge extraction, knowledge fusion and cross-checking. In terms of knowledge fusion, this paper proposes the functional design of conflict detection, entity alignment based on deep learning, data fusion based on linking and cross-validation based on confidence assessment. In terms of cross-truth, this paper investigates the credibility calculation of candidate message sets, the representation of candidate message sets, and the construction of logic rules for cross-truth models. Finally, this paper evaluates the system’s term extraction, concept recognition, and performance. The results show that the average elapsed time for each function of graph visualization, keyword search, keyword search, advanced search, and advanced search in the knowledge management system to be executed 20 times is 1.33s, 1.27s, 3.14s, 1.47s, and 3.26s, respectively, and the average response time is only 2.1s. Therefore, the knowledge management system for grid industry science and technology presented in this paper is effective.
Collaborative Development Mechanism of Vocational Education and Open Education Based on Advantageous Correlation in the Context of High-Quality Development
Authors: Sun Lingxia
Published: November 2023

High-quality development is the goal of the collaborative development of vocational education and open education, and this paper constructs a quality evaluation index system for collaborative development starting from the characteristics of vocational education and open education. The subjective and objective weights of each index are obtained by using the G1 method and the CRITIC method, respectively. The combined weights are solved by multiplicative normalization, and the synergistic development of vocational education and open education is comprehensively evaluated based on the gray correlation degree. To verify the effectiveness of the evaluation index system and explore the mechanism of synergistic development, an empirical analysis was conducted. The results show that the weight of the open education index is 0.3491, the correlation coefficient of the evaluation indexes is more than 0.7, and the factor with the strongest influence is the influence of education with a correlation value of 0.973, which indicates that the mechanism of collaborative development between vocational education and open education needs to pay attention to the influence of education, so as to promote the high-quality development of both of them.
Innovative Application of Visual Communication of Yi Lacquer Art under Internet Technology
Authors: Tan Ying
Published: November 2023

Based on archaeological and historical data, this paper firstly researches and explains the source and flow of Yi lacquer art in Liangshan and proposes the visual communication innovation strategy of Yi lacquer art. Secondly, it uses Internet technology to collect images of Yi lacquer art, grayscale them on the basis of obtaining images of Yi lacquer art, and then facilitates the adaptive threshold method to realize the conversion of the bitmap into a vector map. Then, considering that the visual database pattern resource of Yi lacquer art contains not only pattern information but also color information, we constructed the visual communication database of Yi lacquer art images and carried out an example analysis of the visual communication of Yi lacquer art images based on adaptive thresholding method. The results show that the accuracy, precision, and DSC of R-AMRFCM are improved by 0.0978, 0.4537, and 0.5436, respectively, compared with the GSRG algorithm in algorithmic analysis. In the analysis of Yi lacquer art communication behaviors, behavioral cognition (t=−4.108, p<0.01), behavioral habit (t=−3.090, p<0.01), behavioral intention (t =−2.848, p<0.01), emotional experience (t=−2.277p<0.05), subjective criteria (t=−4.241, p<0.01), and attitude towards Yi lacquer art communication (t=−5.268, p<0.01) are all significantly different. This study optimizes the details of Yi lacquer art dissemination in Internet technology and effectively promotes the visual dissemination and high-quality development of Yi lacquer art.
Strategies for the Integration of Traditional Music Culture in College Music Teaching under Information Diffusion Modeling
Authors: Sun Lingyang , Mo Shaoqian
Published: November 2023

The diffusion degree of traditional music in music teaching is analyzed by constructing an information diffusion model based on traditional music knowledge. Combine the information flow window to analyze the path process of integrating traditional music culture and music teaching. Combine the kernel function to calculate the degree of similarity between traditional music culture and music teaching. Analyze the students’ preference for traditional music culture content in music teaching by calculating the traditional music theme preference value. The results show that music teaching that incorporates traditional music culture has a better diffusion effect on teaching content, teaching method and teaching form, with the diffusion degree in the interval of [0.45, 0.85), and the diffusion degree interval of teaching information that does not incorporate traditional music culture is in the interval of [0.25,0.35). This study contributes to the integration of traditional music culture and music teaching to a certain extent and enhances the effect of music teaching in colleges and universities.
Diversified Curriculum Innovation in College Vocal Music Education under Deep Learning Modeling
Authors: Hou Wei
Published: November 2023

This paper takes the problems and ways of diversified curriculum construction of vocal music education in colleges and universities as the entry point and constructs a deep blended learning model of vocal music diversified curriculum based on the deep learning model. The deep evolutionary knowledge tracking model is constructed by combining the self-attention mechanism embedding model with vocal music knowledge evolution based on Transformer. To verify the effectiveness of the deep blended learning model constructed in this paper, model comparison experiments and empirical analysis were conducted. The results show that compared with the SAKT model, the DBL model in this paper has a 5.19% improvement in the average ROC-AUC value. The vocal posttest scores of the students in the experimental class were 5.09 points higher than those of the control class, with a two-tailed significance value of 0.027, which is less than 0.05 and a significant difference. This indicates that the deep learning model can effectively promote the innovative design of diversified curricula for vocal music education in colleges and universities and enhance students’ vocal music learning ability.
Financial Decision Management of Enterprise Cloud Accounting Based on Big Data Technology
Authors: Gu Ruipeng , Zhou Lei
Published: November 2023

As an inevitable trend of the development of the times, this paper explores the application of big data technology in enterprise financial decision-making and constructs a complete process of enterprise financial management based on data mining. The improved k-Means algorithm is used to complete the clustering analysis of financial data, and the CAP algorithm is applied to the identification and classification of financial problems to realize the early warning of the financial crisis. Combining analysis and early warning, the financial decision management system in enterprise cloud accounting is constructed using the ID3 algorithm. Company H, a real estate enterprise, was selected as a research case and analyzed by collecting financial data and using data mining methods. The profitability, solvency, operations, growth, and cash capacity scores for Company H in 2021 are 11.19, 4.24, 4.94, −0.56, and −0.48, respectively. The changes in Company H’s profitability, solvency, and operations are relatively stable from 2013-2019.
Discussion on the development of rural tourism and cultural industry based on the coupling degree model
Authors: Zhang Yuan
Published: November 2023

A coupling degree model based on rural construction and the rural tourism and culture industry is constructed by analyzing the relationship between the two. The scope of application of the coupling degree is studied, and the framework of the coordination process of the interaction between rural construction and the tourism and culture industry is delineated. The method of dimensionless processing is applied to deal with the raw data to ensure the correctness of model calculations and system analysis. By combining the coupling degree division standard, the rural tourism and culture industry’s coupling degree is divided. The index system of rural tourism culture is constructed according to the principle of the evaluation index system. By analyzing the coupling degree of rural infrastructure and tourism culture industry, relevant development strategies are proposed. The results show that the coupling degree interval corresponding to the transportation facilities from poor to good is (0.2, 0.52), and the coupling degree corresponding to the transportation facilities when they are good is 0.51. The coupling interval corresponding to the dietary conditions from poor to good is (0.27, 0.73).
Digital Teaching Model of College English Based on Accurate Recommendation Model
Authors: Luo Yingfang
Published: November 2023

This paper analyzes the technology of university English digital teaching formation in the context of the Internet, designs a university English resource base according to the characteristics of digital teaching resources, the degree of integration, and designs an autonomous teaching platform for university English based on the English resource base. On this basis, combined with the matrix decomposition algorithm, the knowledge point association matrix integrating multiple factors was constructed to design the English resource recommendation algorithm based on the matrix decomposition of the improved hidden semantic model. In addition, the Jmeter testing tool and SPSS tool were utilized to analyze the performance of the system and the application effect of the teaching model. The results show that the overall recommendation accuracy is also above 0.92, the request anomaly rate is 0% when the number of threads is 300, the response times are all kept within 0.1s, and the overall English learning effect is improved by about 0.3 on average. The digital teaching mode of university English in the context of the Internet can greatly enhance the impact of English teaching.
Combining Adaptive Mathematical Morphology and Visual Reconstruction Theory for Animation Creation
Authors: Xia Tian , Tirakoat Suwich
Published: November 2023

This paper first discusses the use of traditional elements in animation creation and analyzes the linear narrative and artistic expression involved in its creation. Secondly, in order to carry out the image design of animation creation, the color adaptive mathematical morphology is used to carry out the image edge calculation, and the ICP algorithm in the visual reconstruction theory is introduced to carry out the point cloud alignment and fusion. Finally, the effectiveness of this paper’s method is evaluated by comparing algorithms and examples. According to the findings, the loss rate of expansion and corrosion details using the color adaptive mathematical morphology operator is 0.05% and 5.69%, respectively. The overall evaluation of the visual reconstruction presentation is 94.93% at grade C or above. This shows that using the method of this paper can accurately realize the image design of animation creation, enhance the audience’s perception of animation with a clearer view, and then promote the prosperity of the animation industry.
Strategic Performance Management Based on Cigarette Production and Operation Big Data
Authors: Zhang Chiyuan , Pu Tong , Zhou Xiaolong , Chen Qian , Yao Bin , Li Hongcheng
Published: November 2023

The traditional strategic performance management of cigarette enterprises is not sufficiently comprehensive and objective. This paper constructs a big data model of cigarette production and sales by collecting production and operation data, using the primary sliding average method of time series analysis to forecast the short-term sales of cigarettes, and combining it with the coefficient of the dynamic sales ratio. The operational big data is applied to strategic performance management under the balanced scorecard, and the performance management index system is constructed with strategic orientation in mind. Based on the production and sales data of Cigarette Factory S, the weights of the indicators are determined and applied to the empirical study. The scores of the indicators of finance, customer, internal operation learning and growth of Cigarette Factory S are 78.14, 82.29, 87.07 and 81.68, respectively. The performance management system of the Cigarette Factory under the strategic orientation is feasible.