bluuebunny/crossref_metadata_2025 huggingface dataset:
Konténerek katonai alkalmazásának új lehetőségei 2. rész
Authors: Ott István Dániel
Published: September 2023

Az 1930-as években az USA-ban szabadalmaztatott szállítási egység – közismert nevén a konténer – megteremtette az egyszerű és gyors egységrakomány-képzést. A zárt konténerek lehetővé teszik, hogy bennük mobil lakóteret vagy irodát alakítsanak ki. Ilyen konténerek gyártásával, fejlesztésével és forgalmazásával foglalkozik a magyar Continest Technologies Zrt. is. A cégnél fejlesztés és tesztelés alatt állnak ballisztikai védelemmel ellátott, összecsukható, napelemmel vagy hibrid energiaforrással szerelt egységek is, amelyeket a Magyar Honvédség Modernizációs Intézetével közösen fejlesztenek a Honvédelmi és Haderőfejlesztési Program (HHP) keretében.
Arriel 2E turboshaft hajtómű, a megbízható erőforrás
Authors: Varga Béla
Published: September 2023

A Magyar Honvédségben befejeződött a H145M helikopterek rendszeresítése. A helikopter új technológiai színvonalat képvisel a korábbi helikopterállományhoz képest. A legkorszerűbb technológia érvényes a beépített Arriel 2E hajtóművekre is, amelynek vizsgálata a jelen tanulmány tárgyát képezi.
India katonai atomprogramja, a hadászati triád kiépítésének folyamata 2. rész
Authors: Ott István Dániel
Published: September 2023

Atommeghajtású ballisztikusrakéta-hordozó tengeralattjárókkal rendelkező atomhatalomnak eddig csak öt nemzet számított, azonban az indiai INS Arihant szolgálatba állításával, hatodikként Indiával bővült a nemzetek sora. India atomprogramja reprezentálja az ország iparában, hadiiparában, hajógyártásában, rakétatechnológiájában, nukleáris kutatásaiban az elmúlt évtizedekben bekövetkező rohamos fejlődést, és azt a tényt, hogy az atomhatalommá vált India, a hadászati triád kiépítésével politikai ambícióit immár valós stratégiai elrettentéssel képes támogatni. A tanulmány röviden bemutatja India nukleáris fegyverfejlesztésének történetét és eredményeit.
Aknatelepítés: Keleten a helyzet jelentősen megváltozott
Authors: Kovács Zoltán
Published: September 2023

Az aknamezők robbanó műszaki zárként történő alkalmazása csak alig egy évszázados találmány. Ez a haditechnikai eszköz elsősorban a szárazföldi katonai műveletek során kapott kiemelt szerepet. Az utóbbi évtizedekben kissé háttérbe szorult az aknahadviselés, sok ország lemondott például a gyalogsági aknák alkalmazásáról. Oroszország és az Amerikai Egyesült Államok azonban a műszaki zárást érintő fejlesztésekre is kellő figyelmet fordított, arzenáljukban megjelentek a mesterséges intelligenciával felruházott „okosaknák” és aknatelepítő eszközök. Az alábbi tanulmányban röviden bemutatjuk az új orosz aknatelepítési lehetőségeket és eszközöket.
V2 harckocsimotor-család fejlesztésének története 2. rész
Authors: Lányi Aladár
Published: September 2023

A II. világháború egyik legjobb harckocsijának tartott T–34 típusú „Győztes” harckocsi V2 elnevezésű motorja méltán kapott a háború utáni években is nagy figyelmet a harcjárművek fejlesztőitől. A V2 típusú harckocsimotor már a háborúban is a megbízhatóságával és jól üzemeltethetőségével tűnt ki a többi változat közül. A folyamatos fejlesztések eredményeként kialakult egy nagyon megbízható motorcsalád. Ezek a motorok egészen a 2000-es évekig sok élvonalbeli új harcjárműben, és a polgári alkalmazásokban is megjelentek. A V2-esek ma is megbízhatóan üzemelnek több, még rendszerben lévő katonai járműtípusban.
A Leopard harckocsi magyar típusváltozata: a Leopard 2A7HU
Authors: Tóth András
Published: September 2023

A 2017-ben indult Honvédelmi és Haderőfejlesztési Program részeként, a Magyar Honvédség (MH) jelentős mennyiségben szerez bea szárazföldi haderő számára korszerű haditechnikai eszközöket, köztük 44 darab Leopard 2A7HU és 12 darabb Leopard 2A4HU harckocsit. Ezek a korszerű harckocsik jelentős képességnövekedést hoznak a Magyar Honvédség rendszerébe.
A gázturbinás korszak hajnala és a fejlesztés nehézségei
Authors: Varga Béla
Published: September 2023

A 20. század elején a dugattyús motorok már egyre megbízhatóbban és elfogadható hatásfokkal működtek. A Bryton- vagy Joule-cikluson alapuló hőerőgép elve szintén ismert volt a 18. század végétől, de az elmélet kezdetben messze felülmúlta a gyakorlatot. Végül az 1930-as évek végére a gázturbina, mint technikai eszköz beérett. A tanulmány ezt a folyamatot mutatja be, és elméleti úton alátámasztja, hogy miért is volt olyan nehéz a gázturbinák megszületése.
Bienestar psicológico en personas que integran un grupo vulnerable en una institución pública de Quito – 2023
Authors:   Universidad Politécnica Salesiana, Martínez Jiménez Demian Alejandro , Morales Fonseca Cristhian Fabricio ,   Universidad Politécnica Salesiana, Oñate Porras José Fernando ,   Universidad Técnica del Norte, Droguett Vallejo Karla Nazira ,   Universidad Politécnica Salesiana
Published: September 2023

La presente investigación está centrada en el estudio que se refiere a el bienestar psicológico desde un enfoque positivo, sin realizar un énfasis en el estudio clásico de la psicología que se focalice el estudio de las patologías o trastornos, por lo tanto, el bienestar psicológico se denomina a la satisfacción en varios aspectos que son percibidos como la felicidad, que son elementos que participan en nuestra cotidianidad, por lo que también estimamos a las percepciones positivas y negativas, teniendo algunas variables que pueden inferir en cómo nos sentimos, como puede ser la situación sociodemográfica en la que nos encontramos. La población participante fue un total de 97 trabajadores pertenecientes a una Institución pública de Quito que han manifestado malestar durante este periodo en la jornada laboral. La metodología utilizada fue de tipo cuantitativa, descriptiva y transversal, por lo tanto, se analizarán los resultados obtenidos a través del programa Excel. Se aplico el Test de Escala de Bienestar Psicológico, el cual consta de 65 preguntas, 30 sobre el bienestar psicológico subjetivo, 10 sobre el bienestar material, 10 sobre el bienestar laboral y 15 sobre el bienestar en parejas, evaluadas en función al manual del autor. En relación al género masculino, el bienestar global se presenta en predominancia sobre esta variable, en contraste con el femenino, que se presenta en mayor medida. Esta investigación busca esclarecer el estado actual de la salud mental en el grupo vulnerable, pudiendo así, fomentar proyectos o actividades que promocionen y conserven la integridad de la salud mental y bienestar psicológico en servidores públicos.
Studi Kritis Pemikiran Iskandar Zulkarnain Tentang “Gerakan Ahmadiyah Di Indonesia” Perspektif Fenomenologi Edmund Husserl
Authors: Budiman Arman
Published: September 2023

Mengkaji gerakan Ahmadiyah di Indonesia melalui karya Iskandar Zulkarnain menurut penulis perlu adanya tinjauan ulang terhadap tokoh (peneliti), apakah ia benar-benar mengulas sejarah tanpa adanya intervensi dari kalangan manapun.Hal ini sangat penting, sebab akan menentukan kebenaran sejarah dan pengungkapan apakah Ahmadiyah memiliki kontribusi dalam perkembangan pengkajian keilmuan Islam khususnya Indonesia. Metode yang digunakan dalam penelitian ini adalah penelitian  (library research). Teknik pengumpulan data yang relevan dengan penelitian ini adalah studi dokumentasi, studi dokumentasi mengarah kepada berbagai macam literatur yang berhubungan dengan pemikiran atau konsep tokoh yang dikaji. Hasil dari penelitian ini, ternyata Iskandar Zulkarnain benar-benar menggunakan dua alat yang ditawarkan oleh  Edmund Husserl, baik itu epoche dan eiditic, berhasil menanggalkan pengetahuan awalnya demi mendapatkan informasi yang valid dari jemaah Ahmadiyah, terbukti melalui riset Iskandar Zulkarnain, banyak fakta-fakta sejarah yang mendukung Ahmadiyah diminati oleh intelektual muslim tanah air. Melalui karya keislaman yang ditulis oleh tokoh asal Indonesia, dapat dilacak adanya indikasi bahwa ide karya mereka terinspirasi dari literatur milik tokoh Ahmadiyah, terutama dalam narasi perbandingan agama dan kristologi. Cukup dengan bukti ini, bahwa ide Ahmadiyah tervisualisasikan dalam banyak karya intelektual muslim asal Indonesia.
Exploring the online interaction model of college English based on deep learning network
Authors: Bao Shijun
Published: September 2023

In this paper, we apply a deep learning model to discriminate sentiment in an interactive model of online college English education and propose a fusion model that splices convolutional neural networks and bidirectional long- and short-term memory neural networks horizontally. Convolutional neural networks are good at capturing the sentiment feature vectors using multi-channel convolutional kernels but are unable to extract the sentiment information above and below the sentiment sequence. The short and long-term memory neural network is able to extract the sentiment feature vectors by using recurrent neural networks, which can better compensate for the shortcomings of the convolutional neural networks. The online teaching of college English is selected as the object of analysis, and the improved Flanders interaction analysis system is used to study the online interaction process of college English so as to propose suggestions for the interaction of online teaching of college English. Then the performance of the model is analyzed through simulation experiments. Compared with the traditional TextCNN and BiLSTM, the CNN −BiLSTMATT sentiment analysis model has an accuracy of 0.8611, precision of 0.8471, recall of 0.8691, and F1 of 0.8562, so the CNN − BiLSTMATT sentiment analysis model is more suitable for college English online interaction. This study overcomes the disadvantages of online interaction and continuously improves the efficiency of online teaching interaction.
Research on the quality control strategy of marine engineering based on big data technology
Authors: Yuan Jianping , Yu Huafeng , Sun Zhenzhou , Li Yan
Published: September 2023

The research of quality control strategy of marine engineering using big data technology is to better promote the enterprise to reduce cost and increase efficiency. In this paper, starting from the project quality control system, a quality control risk evaluation model is constructed based on hierarchical analysis and fuzzy comprehensive evaluation by means of the fuzzy comprehensive evaluation of affiliation degree. For the model constructed based on AHP-FCR in this paper, experimental analysis of quality control influencing factors and fuzzy comprehensive evaluation examples were conducted by establishing indicators. From the influence factors, the severity of engineering personnel risk and engineering machine risk are 19.289 and 20.216, respectively, both of which are significant levels of influence. From the fuzzy comprehensive evaluation, 49.09% of the experts voted that the level of quality control risk of S Company’s offshore engineering module oilfield construction project is now low and in an acceptable state. It can be concluded that the AHP-FCR model with big data technology can realize the quality control risk assessment of offshore engineering and also provides theoretical support for companies to solve the risk.
A study of interactive furnishing design in the context of digitalization with a view to functional requirements
Authors: Zhu Shuhua
Published: September 2023

Firstly, an optimization algorithm based on planar design constraints is proposed, which can automatically generate interior space furnishings. The main idea of the algorithm is to represent the room units in interior space furnishings with multiple rectangular combinations of polygons and to translate the constraints and rules in furnishing design into relevant rectangular constraints. In order to improve the applicability of the method, this study also proposes a hierarchical algorithm flow based on the above method. Then, the interactive toilet aid design and the new intelligent wheelchair design, and the intelligent and ecological interior furnishing design are used as examples to explore the practice of interactive furnishing design based on multi-functional needs, which meet the emotional, psychological, and physiological needs of users. Based on the data analysis of furnishing design by hierarchical algorithm, the results show that the average score of ordinary users in the comparison results with Humans is 13.37 the average score of designers is 11.72; the MIQP model can be used for interior space furnishing design of residential buildings and can be extended to apply to space furnishing of large-scale scenes, MIQP method is much higher than existing methods in terms of efficiency The MIQP method is much more efficient than existing methods. This study improves the quality and level of furnishing design and promotes innovation in the design industry.
Prediction of mechanical equipment fault diagnosis based on IPSO-GRU deep learning algorithm
Authors: Wang Peng , Tan Hangbo , Ji Chao
Published: September 2023

Exploring effective logistics machinery and equipment fault diagnosis and prediction technology to achieve efficient and stable operation of logistics machinery and equipment. In this paper, starting from the logistics machinery and equipment fault diagnosis technology, we optimize the hyperparameters of the recurrent gate unit neural network by using the improved second-order oscillatory particle swarm algorithm and then construct the IPSO-GRU logistics machinery and equipment fault prediction model. The IPSO-GRU model is used to test the prediction effect of the hydraulic lift table and logistics hoist by using the historical data of the hydraulic lift table as training data. The prediction accuracy of the IPSO-GRU model was improved by 6% compared with BP neural network. From the prediction results of the logistic hoist, only 6 out of 250 data samples failed to achieve accurate prediction. This shows that the IPSO-GRU model can effectively achieve the prediction of logistics machinery and equipment fault diagnosis and also provides a proven method for predictive maintenance of logistics equipment.
Challenges and content structure optimization of ideological and political education in universities based on structural equations
Authors: Li Jie
Published: September 2023

Big data is a double-edged sword, which brings opportunities and also risks and challenges to the innovation of ideological and political education in colleges and universities, which has led some people to question and deny the integration of big data innovation in ideological and political education in colleges and universities. This paper takes the influence of college ideological and political education environment on education effect as the research object, analyzes the characteristics of college ideological and political education environment, and summarizes the “advantages”, “disadvantages,” and “opportunities” of college ideologic and politic education environment, The research team analyzed the characteristics of the ideologic and politic education environment in colleges and universities and summarized the “advantages”, “disadvantages”, “opportunities” and “challenges”. Then factor analysis was applied to classify the factors influencing the ideological and political education environment of colleges and universities and establish hypotheses. The structural equation modeling method was used to analyze the relationship between the factors influencing the ideological and political education environment in colleges and universities and the relationship between the factors influencing the education environment. The results show that 44.63% of the respondents think there is influence, 27.97% think there is greater influence, and 23.82% think there is an important influence. Therefore, it can be concluded that the severe employment environment has a significant influence on the effect of ideological and political education. This study enhances ideological and political education by integrating big data innovation, which is important for the development of ideological and political education in colleges and universities.
Exploration of the system of evaluation system of university teachers’ titles based on blockchain technology
Authors: Wang Jingke
Published: September 2023

The purpose of this thesis is to combine blockchain technology with teacher title evaluation, and design a blockchain-based teacher title evaluation system using the characteristics of blockchain and IPFS, and other technologies. The system adopts a three-layer architecture consisting of a data storage layer, an application business layer, and a user presentation layer. Among them, the data storage layer builds a distributed network through Ethernet blockchain nodes. At the same time, each node is also an IPFS network node, responsible for uploading teacher certification materials to the IPFS network through the file encryption module in the application business layer and generating IPFS abstracts, which can be subsequently uploaded to the chain only, i.e., ensuring the privacy of file materials and reducing the overhead of storing data. To verify the effect of the title review system, the analysis was conducted in terms of role perceptions, covering teachers’ perceptions of the fairness and motivation of the title review system. In terms of fairness of the review criteria, 60.83% of teachers think it is fair, and 25.83% think it is unfair. 65.83% of teachers say that the career review is helpful for career development, and only less than 10% think it is not helpful for career development. It shows that this teacher title evaluation platform is efficient, intelligent, secure, and trustworthy.
Study on the work-hardening behavior and tissue property analysis of high-strength magnesium alloy
Authors: Zhang Congzheng , Liang Chen , Mu Jinpeng , Chen Haodong , Zhang Wei , Li Wenhao
Published: September 2023

Magnesium alloys show great superiority for modern applications due to their good biocompatibility, degradability, and excellent mechanical properties. In this paper, the strengthening effects and mechanisms of composite precipitation phases, microalloying regulated recrystallization behavior, composite grain organization, and new strain aging methods in magnesium alloys are investigated in terms of five stages of work hardening, heat treatment, and strengthening properties. The use of rare earth elements can effectively enhance the aging strengthening properties of magnesium alloy through the use of gadolinium (Gd) and yttrium (Y) in rare earth elements for the development of high-strength magnesium alloy. The results show that the solubility of aluminum in magnesium reaches the maximum of 12.6mmass.% at the eutectic temperature of 436℃and then gradually decreases with the decrease of temperature, and when the temperature decreases to room temperature, the solubility decreases to 2mass.%. The elongation of alloy 0.5Al alloy 0.5Zr alloy on the basis of the aging state was 6.7% and 4.8%, respectively. This paper provides theoretical and experimental guidance for the development of high-strength magnesium alloys through an in-depth study of strengthening mechanisms such as composite precipitation strengthening, crystal strengthening and strain aging strengthening.
An innovative approach to teaching physical education integrating modern network technology
Authors: Guo Huijuan
Published: September 2023

This paper first investigates the modern web technology algorithm data preprocessing process and database creation methods, dealing with missing data values, attribute coding and performing data normalization, and converting feature coding to Boolean values for teaching data in order to create a database. Then the data are sparse and regularized so that the coefficients corresponding to the features with strong optimization effects on the model are not zero. The physical education data are then evaluated using modern web technology algorithms. Then the advantages and disadvantages of traditional and innovative teaching methods were compared to support them. Finally, the effect of innovative teaching methods was evaluated in terms of students’ physical fitness change and teaching satisfaction. In terms of changes in students’ physical fitness, the increase in lung capacity of students in both classes after applying the new method p=0.042, which was less than 0.05 and greater than 0.01, indicating that the increase in lung capacity of students in the experimental class was higher than that of students in the control class, proving the significant effect of the experiment on the increase in students’ lung capacity. In the feedback of experiencing the pleasure of exercise and the sense of success and joy of completing the movement, the index of the experimental class was 48, and the control class was 42. The effect of the innovative teaching method integrating modern network technology was superior to the traditional method.
Research on quality engineering management effectiveness improvement strategy of universities based on fuzzy clustering maximum tree algorithm
Authors: Zhang Lei , Dong Yin , Yao Na
Published: September 2023

The “quality project” is an objective need to promote the comprehensive and coordinated development of higher education and cultivate high-quality talents. Based on the fuzzy clustering maximum tree algorithm, this paper first generates the maximum tree for a similar matrix and then clusters the maximum tree to find the clustering results. Then the idea of fuzzy clustering maximum tree algorithm is introduced into the management of “quality engineering” in Heilongjiang province colleges and universities, and the necessity of project management in the management of “quality engineering” in colleges and universities is analyzed, so that the knowledge related to project management can be applied in the construction of “quality engineering” in colleges and universities. “The results show that project quality management has a lot of advantages and disadvantages. The results show that there are problems such as weak awareness of quality management among all staff, unclear construction objectives and quality construction standards, and a lack of effective project monitoring and evaluation mechanism in project quality management. During the experimental period, the groundwater level was 0.4~0.7m below the surface, and the global risk level decreased from 5 to 3 along with the deep excavation of the foundation pit, and the risk probability of the foundation pit project became larger with time and finally stabilized at 60%. The research of this paper is helpful to improve the project management level of “quality engineering” in universities and promote the transformation of “quality engineering” results, which has certain practicality and guidance.
Optimization analysis of transmission characteristics of wireless energy transmission system based on dynamic tuning algorithm
Authors: Du Ruijuan
Published: September 2023

This paper aims to optimize the transmission characteristics of the wireless energy transmission system by optimizing the design of the coupling coils in the system, the system multi-parameter matching and the coil offset problem so that the overall wireless energy transmission system works in the best condition. The mathematical model of the power and efficiency of the two-coil MCRWPT is derived through the optimal tuning theory, and the principle of the wireless energy transmission method is analyzed to determine the wireless energy transmission method of the equivalent capacitive regulation circuit. By comparing the effects of load on output power and transmission efficiency under different topologies, a plane with a two-coil structure applicable to the wireless charging transmission system is selected to improve the transmission efficiency of the system. In the experimental verification of the WPT transmission characteristics optimization and dynamic tuning, it is concluded that the efficacy of the system is improved simultaneously with the transmission efficiency up to 91% when the load is adjusted to 298 mΩ for the load value adjusted at the transmission distance of 0.075m.
Exploration of digital media art professional design talent class training based on K-mode algorithm
Authors: Huang Zongyan
Published: September 2023

This paper combines big data technology to analyze the training mode of digital media professionals in universities in various regions and explores the knowledge system, enrollment target, learning content, textbook construction, and employment direction of digital media professional training, respectively. The real data in the faculty management system is selected as the evaluation data, and the K-modes clustering algorithm is used to optimize the evaluation data in three problems, such as the number of clusters K, the initial clustering center, and the calculation of distance similarity. According to the research content, the evaluation index system of teachers’ teaching conditions in Y school was established, and the system was applied to evaluate the teaching operation of Y school comprehensively. The results showed that only 6.89% of the teachers were evaluated as “excellent”, 46.89% were evaluated as “good”, and 46.89% were evaluated as “medium”. The percentage of those who rated “medium” or below was 45.89%. This indicates that the university still needs to do a lot of work in improving teachers’ ability to meet the needs of college students in the new era. The application of the K-modes algorithm in the evaluation of digital media art professionals’ training is of great significance to the development of the digital media industry.
Exploring the application of virtual space in spatial design in the era of artificial intelligence
Authors: Ding Pei , Ai Hongjuan , Moon Hyoun-Sun
Published: September 2023

The development of the Internet era acts on every change brought by spatial design so that the application of virtual reality technology in spatial design solutions begins to emerge. In this paper, firstly, combining the general process of visualization and the characteristics of visual variables, seven visual variables are selected for preliminary 3D visual representation, and their applicability under virtual reality space is analyzed. The HSV color space is also used for visual coding. According to the intuitive nature of visual perception of spatial design, a multiple visual variables mapping model based on VR is proposed. Considering the sequential characteristics of spatial design, PCA-LSTM spatial design classification model is proposed, and virtual space is applied in spatial design by local changes of the top surface, ground surface, and vertical interface. The simulation experiments are conducted by selecting SVM, BP neural network, and LSTM network as the comparison algorithms, and the results show that the accuracy of both the training set and the test set is found to be improved based on the PCA-LSTM classification model for spatial design classification, which is 4.9% and 9.49% higher than the traditional LSTM algorithm, respectively, verifying the PCA-LSTM for spatial design The effectiveness of PCA-LSTM for spatial design classification is verified. This study cleverly uses the design technique of virtual space to better apply virtual space in spatial design.
An analysis of the innovation strategy of student management in universities based on big data
Authors: Wu Cuicui
Published: September 2023

This paper collates and fuses data from various aspects of university students and designs student evaluation indexes by combining the data. Based on the student behavior segmentation model of cluster analysis, the traditional k-means clustering algorithm is optimized, focusing on the optimization of content selection of initial cluster centers and distance optimization calculation to make a better clustering effect and classify students accurately. Then the K-nearest neighbor algorithm is proposed to solve the problem of timeliness and posteriority of student warning, by which the behavior of students can be predicted, and teachers can manage and help students in time. Finally, a student behavior characteristic category model is established to strengthen the prediction model of the K-nearest neighbor algorithm and improve the accuracy of predicting student behavior. The student data of a university were analyzed, in which the correlation pearson coefficient between the number of library admissions and grades ranged from 0.25-0.31, and the p-values were all much less than 1. It showed that the number of library admissions of students obviously affected students’ grades. In the analysis of the correlation between the early rising index and academic achievement, where the Pearson coefficient is 0.291 with a p-value of 5.61E-7. This indicator, which is not much associated with academic behavior, indicates that students’ early rising and timely breakfast can affect achievement to some extent. Therefore, the method of this paper can be refined using student data.
Analysis on the innovative education mode of the integration of information technology and traditional teaching in the era of big data
Authors: Lv Foguang , Wang Wei , Ren Jianhua
Published: September 2023

In order to develop students’ concentration in the classroom, this paper proposes to analyze students’ learning concentration from three dimensions, where the superiority of the random forest classification algorithm is found in the dimension of head posture estimation so that students’ attention ranges can be analyzed. For data acquisition, the OpenPose platform is used for real-time detection of body, foot, hand, and face key points. A comprehensive evaluation study of students’ concentration levels in the classroom was achieved through an effective algorithm. Finally, the multimodal information fusion algorithm was investigated, and it was concluded that the weights could be calculated by hierarchical analysis to achieve a comprehensive evaluation of students’ learning concentration. By analyzing the course data of 12 students, the distribution of SFR values, Yaw angle and Pitch angle distribution, PERCLOS value distribution, and correct/error rate distribution of answers were counted, and the final scores of respective learning engagement were obtained as 0.91, 0.62, 0.80, 0.36, 0.82, 0.73, 0.81, 0.63, 0.81, 0.81 The model scores were compared with the expert scores, and the accuracy rate reached 98.6%, which proved that the model proposed in this paper is effective and can correctly reflect the real state of students’ learning in the classroom.
Innovation and exploration of construction project management based on BIM platform of big data
Authors: Yin Hui
Published: September 2023

The study of BIM engineering management platforms based on big data is conducive to improving the status quo of traditional construction engineering and providing new ideas to realize the innovation of construction engineering project management. This paper takes construction engineering project management as the research object, based on the BIM platform of big data, and understands the current difficulties and key points of safety management by investigating and analyzing the status of construction engineering project management and BIM the application status of the platform. Secondly, we make full use of building information model data standards, including: IFC standards, IDM standards, and MVD standards, to analyze building information model data standards. Finally, the data establishment practice is carried out based on the foundation BIM construction model that satisfies the 300 LOD level for the model components. The results satisfy the consistency test, and the weight coefficients are considered to be reasonably assigned. According to the judgment matrix to calculate the weights, the matrix is normalized by column, and the weights of each index are obtained as 0.6377, 0.2580, 0.1034, 0.1790, 0.1130, respectively. This paper is based on big data BIM technology application and construction process safety management activities, which can realize the information management of the whole project construction, strengthen the benefits of construction project safety management, and provide collaboration of all parties to provide a favorable sharing platform.
Exploring Innovative Strategies for Teaching English to College Students Based on Data Mining Theory
Authors: Duan Xiaolian
Published: September 2023

This paper suggests a J2EE framework-based online intelligent diagnostic assessment scheme. The system has the capabilities of teaching, diagnosis, testing, and feedback as auxiliary teaching software through the automated alteration of subjective and objective questions and the individualized design of diagnostic results. Combined with the characteristics of English composition, the research focuses on the use of the shortest editing distance, cosine vector space, regular matching and other techniques to automate the composition correction and diagnosis, which not only realizes the final scoring of subjective questions but also the diagnostic report can provide students with personalized comments, precisely give the strengths and weaknesses in terms of knowledge points, as well as the analysis chart of knowledge points, scores and ability values of previous exams. In this paper, when evaluating the system with teacher ratings, the overall mistake rate for class essays was 9.0% when the similarity criterion S=0.2 was employed. For individuals and classes passing the test, the error was within 10%, and the score difference was within 2 points. Finally, the common errors of students in English writing were detected, with grammar errors accounting for 58.2%, vocabulary errors for 26.7%, and essay errors for 15.1%. Therefore, this system can make a good contribution to the teaching reform of English and achieve a real reduction of the burden for teachers and students.
A Study on the Influence of Ecological Translation Theory on University English Translation Teaching in the Context of Big Data Analysis
Authors: Zhou Haiyan
Published: September 2023

This paper aims to investigate the influence of ecological translation theory on university English translation teaching, constructs a regression prediction model prediction result evaluation index on the basis of a regression model, uses the regression prediction model to analyze the data of classroom percentage in the process of university English teaching, and combines the prediction result evaluation index to study the influence of ecological translation theory on university English translation teaching, by analyzing the English translation content and translation By analyzing the two factors of English translation content and translation standards, suggestions are made for the subsequent development of university English translation teaching. The result data showed that in the university English translation classroom, the teacher-led time accounted for 60 minutes, the students’ independent discussion time was only 20 minutes, and there were only 10 minutes to test everyone’s classroom results. In terms of classroom content, the highest percentages of vocabulary content and grammar content were 30%, 40%, and 35%, respectively, and the lowest percentages of translation content were 10%, 5%, and 5%, respectively. The research data in this paper provide an effective reference for university English translation teaching and promote the development and progress of university English translation teaching.
The Application and Exploration of Curriculum Ideology and Politics in the Innovation and Entrepreneurship Education of Medical College Students Based on Hierarchical Analysis Method
Authors: Qi Wenjuan , Liu Xiaohui , Niu Renxiu
Published: September 2023

Promoting “mass entrepreneurship and innovation” in the context of the new norm of the Internet era is the inescapable trend of the moment. In order to provide the atmosphere and circumstances for innovation and creation education in educational institutions, this study first investigates the application of curricular ideology and politics in innovation and creative education. This is primarily expressed in the leading of innovation and creation education ideals. The set of data on college students’ innovation and entrepreneurial is then pre-processed in accordance with the hierarchical analysis method to obtain the data judgment matrix, and when combined with the fuzzy detailed evaluation method, a science-based system of college students’ innovation and creation education quality assessment model system is created. The initial data set was obtained through a sample survey, and the specific analysis of the connotation traits and interaction between innovation and creation education and ideological and political education of colleges and universities was conducted by using hierarchical analysis. The results show that the reliability coefficient is 0.926 with good reliability, and the validity KMO is 0.946 and passes the signature verification. Ideologic and political theory courses, daily ideologic and political education and self-efficacy were significantly and positively correlated at the level of 0.01. This study is a joint effort to endorse the deepening of innovation and the creation of education reform in higher education. This has a significant historical impact on cultivating socialist architects and successors with thorough moral, intellectual, physical, and artistic development.
A Study on English Teachers’ Behavior and Teaching Effectiveness in Universities Based on Big Data Technology
Authors: Zhang Jiao
Published: September 2023

Based on the traditional Flanders interaction analysis method, this paper proposes a new method for analyzing English teachers’ behavior by combining long and short-term memory networks in deep learning techniques. Firstly, the Flanders coding system is optimized in the coding stage, and the English teacher behavior categories are refined to better reflect the integrity, richness, and diversity of the classroom teaching process so as to construct an English teacher behavior dataset. Then, we designed the research protocol, determined the research subjects and instruments, classified the time series representing English teacher behavior based on the LSTM English teacher behavior analysis model in the results and analysis phase, and analyzed and evaluated the correlation between teacher behavior of students’ English learning achievement based on the classification results. The results show that the probability of getting the English teacher behavior evaluation index categories 1 to 4 is 0.6111, 0.00049, 0.002, and 0.3882, respectively. There is a significant correlation between both student learning achievement and teacher behavior, and the correlation coefficient of both is (r =0.73). Teacher behavior affects the achievement of student learning effectiveness. This study helps teachers to reflect on their teaching behaviors so as to improve the quality of teaching in higher education.
Research on intelligent recommendation algorithm of literature based on knowledge graph technology
Authors: Yin Zhiqiang
Published: September 2023

To address the issue of cold start and data sparsity in recommendation algorithms, this paper introduces a knowledge graph to assist intelligent recommendation algorithms in exploring. Firstly, it is introduced that the introduction of knowledge graphs into recommendation algorithms can introduce more semantic relationships as well as mining higher-order connection relationships, thus improving the purpose and user satisfaction. Second, the three categories of extant recommendation techniques—embedding-based, path-based, and propagation-based—are compiled. We examine how the current methods extract data from entities and connections in the knowledge graph and contrast the benefits and drawbacks of the three different types of approaches. Furthermore, the AUC metrics on the three datasets improve by 2.9%, 1.6%, and 1.2% over the state-of-the-art baseline, respectively, showing the effectiveness of the KGAT-CI model in using collaborative and knowledge-aware information, according to experiments on intelligent algorithms in the literature. It may be determined that the addition of knowledge graphs can improve the present recommendation algorithms’ accuracy, variety, and interpretability.
Research on the construction of sports statistics index system based on AMOS model
Authors: Chai Weiqi , Zhang Mingliang , Guo Wangda
Published: September 2023

With the rapid development of the AMOS model, it provides new ideas for the construction research of sports statistical index systems. This paper firstly measures the level of sports development based on the current situation of the construction of a sports statistical index system, and the sports statistical index system is scored by the comprehensive index method. Secondly, it identifies for SEM model and AMOS model and establishes the sports statistical index system based on the AMOS model. Finally, it was verified that the dimensional division of the PE model and variable indexes were reasonable, and the relationship between latent variables was defended on the basis of variable index calculation and utility analysis. The results show that student expectations have the greatest positive total impact on students’ perceived value with a value of 0.58274, that student expectations have the greatest indirect impact on students, and that the indirect impact is close to its direct effect impact with a value of 0.26845, that the total impact on students ranks second with a value of 0.66374, and that student expectations have an indirect impact on student complaints and student loyalty through one and more intermediate variables. Thus, it shows that the AMOS model can effectively solve the problem of constructing a sports statistical index system and promote the development and innovation of research on constructing a sports statistical index system.
Innovative Research on Synergistic Development of Digital Integrated Media and Visual Design Based on Kruskal Algorithm
Authors: Liu Ren
Published: September 2023

This paper aims to explore the innovative development of synergy between digital media and visual design and improve and optimize the Kruskal algorithm model. The WTC-Kruskal algorithm is used to study and analyze the data generated by the combination of digital-integrated media and visual design and find the resonance point between digital-integrated media and visual design data. By studying the changes in visual design under digital media integration, we explore the new trend of synergistic development of digital media integration and visual design and thus propose feasible suggestions. The survey results show that most of the users prefer visual design presentation in the form of images, with percentages of 70%, 80% and 90% respectively, and the percentages of users who prefer paper presentation are very low, with 10%, 5% and 3% respectively. The user’s love for 3D visual design works is the highest in the questionnaire of different people; the percentage of those who like 3D visual design is 60%, 80%, 70% and 75% respectively. This paper provides effective reference data for the development of visual design and promotes better integration of digital integrated media and visual design.
Exploring the path of reforming college mental health education curriculum based on big data technology
Authors: Chen Lingjing
Published: September 2023

Big data technology’s quick advancement and widespread use provide fresh perspectives on how to change the mental health education curriculum at colleges and institutions. This study builds a prediction model for the college mental health education curriculum using big data technology, examines the prediction model’s development process, and builds a model assessment index using the SVM support vector machine technique. Second, it assesses the development status of the mental health education course reform in colleges and universities by looking at three elements of the mental health education courses in colleges and universities: the teaching strategy, the learning environment, and the student’s learning habits. Finally, using big data technologies, we investigated how college students’ happiness with their learning in mental health education courses was influenced by the mediating role of these courses and evaluated regression analyses of both holistic and partial teaching approaches. According to the findings, a comprehensive teaching approach had an 86.5% negative impact on student’s mental health under the direct effect, with a standard effect value of −0.134. Under the indirect impact, the standardized effect value of a holistic teaching approach on students’ mental health was −0.019, and the effect proportion was 12.7%. This demonstrates the significance of big data technologies for the establishment of a new mental health education curriculum in universities.
Research on the effective way of mental health education based on artificial intelligence technology
Authors: Chen Lingjing
Published: September 2023

In response to the imperfect development of the mental health education enhancement system, this paper uses artificial intelligence technology to explore and innovate effective ways to enhance mental health education. This paper firstly constructs the MDP model, value function, strategy evaluation, and strategy enhancement based on artificial intelligence technology to build a feed-forward neural network model. Secondly, it analyzes three aspects of mental health education: the course offering or not, the frequency of the course offering, and the relevant content of the course. Finally, the MDP model with artificial intelligence technology and feed-forward neural network model was used to verify the enhancement path of mental health education, and four aspects of mental health education were analyzed in terms of the cognitive situation, arrangement of content, course offering, and educational teachers and training. The results showed that only 5.875% of the teachers knew a lot about mental health education in schools, 37.25% said they knew more, and 57% said they did not know much about mental health education, which indicates that most teachers do not pay much attention to mental health education. Thus, it is feasible to explore ways to improve mental health education based on the context of artificial intelligence.
Optimization of Teacher Incentive Mechanism and Policy Supply in Rural China Based on Judgment Matrix
Authors: Lv Tiantian
Published: September 2023

With the continuous development of artificial intelligence technology, rural education is crucial in Chinese education, and the problem of rural teachers’ incentive mechanisms directly affects the quality of rural education. Firstly, according to the incentive mechanism of rural teachers, quantitative and qualitative research on the incentive mechanism of teachers in rural areas using the fuzzy evaluation method is proposed. In the fuzzy judgment matrix, each level is determined based on the decomposition of the previous level, and the results of the previous level are determined based on the calculation results of the next level. Then, using the relevant motivation theory and questionnaires, the principal and teachers of the school were investigated to understand the current situation and main problems of the construction of teachers’ motivation mechanism in the junior high school of Un Dong Town, Duyun City. Using the fuzzy evaluation method to analyze the difference between the actual feeling and expected demand of teachers’ motivation, the result shows that the difference between salary and promotion is 1.22 and 1.19, which means that the difference between salary and promotion is bigger in the motivation mechanism of rural teachers, and we should focus on reforming the salary scheme and implementing the promotion training mechanism of rural teachers. This study confronts the problem of rural teachers’ incentive mechanism, which has good theoretical and practical guidance for improving education quality and so on.