EAI Endorsed Transactions on Scalable Information Systems

Issue 6, 2023

Articles
Information

Examining Obstacles to Women's Advancement in Technical Careers
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Authors:
R Lakshmidevi, A. Geetha

Abstract:
The insufficient number of women in technical occupations has gotten a lot of attention because of the consequences for diversity of genders and creativity in the workplace. The purpose of this research is to critically explore the barriers that prevent women from advancing in technical occupations…The insufficient number of women in technical occupations has gotten a lot of attention because of the consequences for diversity of genders and creativity in the workplace. The purpose of this research is to critically explore the barriers that prevent women from advancing in technical occupations and to provide ideas for creating a more equitable and welcoming workplace. This study finds important constraints such as gender prejudice, a lack of mentoring, work-life balance issues, and restricted access to leadership chances via a thorough literature analysis. This research looks into the diverse experiences that contribute to these challenges by analysing and interviews with women in technical jobs.Finally, the goal of this study is to equip organisations, governments, and industry stakeholders with practical ideas for implementing evidence-based practises that promote women in technical jobs. By eliminating identified barriers and adopting gender-inclusive initiatives, the tech sector may not only access a larger pool of talent, but also promote an atmosphere favourable to creativity, cooperation, and long-term success.
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Data Mining Algorithm Based on Fusion Computer Artificial Intelligence Technology
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Authors:
Yingqian Bai, Kepeng Bao, Tao Xu

Abstract:
INTRODUCTION: The paper constructs a massive data mining model of distributed spatiotemporal databases for the Internet of Things. Then a homologous data fusion method based on information entropy is proposed. The storage space required by the tree structure is reduced by constructing the data sche…INTRODUCTION: The paper constructs a massive data mining model of distributed spatiotemporal databases for the Internet of Things. Then a homologous data fusion method based on information entropy is proposed. The storage space required by the tree structure is reduced by constructing the data schema tree of the merged data set. Secondly, the optimal dynamic support degree is obtained by using a neural network and genetic algorithm. Frequent items in the Internet of Things data are mined to achieve the normalization of the clustered feature data based on the threshold value. Experiments show that the F-measure of the data mining algorithm improves the efficiency by 15.64% and 18.25% compared with the kinds of other literatures respectively. RI increased by 21.17% and 26.07%, respectively.
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MIED : An Improved Graph Neural Network for Node Embedding in Heterogeneous Graphs
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Authors:
Mingjian Ni, Yinghao Song, Gongju Wang, Lanxiao Feng, Yang Li, Long Yan, Dazhong Li, Yanfei Wang, Shikun Zhang, Yulun Song

Abstract:
This paper proposes a Metapath-Infused Exponential Decay graph neural network (MIED) approach for node embedding in heterogeneous graphs. It is designed to address limitations in existing methods, which usually lose the graph information during feature alignment and ignore the different importance …This paper proposes a Metapath-Infused Exponential Decay graph neural network (MIED) approach for node embedding in heterogeneous graphs. It is designed to address limitations in existing methods, which usually lose the graph information during feature alignment and ignore the different importance of nodes during metapath aggregation. Firstly, graph convolutional network (GCN) is applied on the subgraphs, which is derived from the original graph with given metapaths to transform node features. Secondly, an exponential decay encoder (EDE) is designed, in which the influence of nodes on starting point decays exponentially with a fixed parameter as they move farther away from it. Thirdly, a set of experiments is conducted on two selected datasets of heterogeneous graphs, i.e., IMDb and DBLP, for comparison purposes. The results show that MIED outperforms selected approaches, e.g., GAT, HAN, MAGNN, etc. Thus, our approach is proven to be able to take full advantage of graph information considering node weights based on distance aspects. Finally, relevant parameters are analyzed and the recommended hyperparameter setting is given.
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Trends in Informatization of Electronic Music Composition Data in the Context of Distance Education
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Author:
Xiaopeng Liu

Abstract:
INTRODUCTION: With the development of information technology in education, many educational institutions and companies have flocked to the emerging online education market. MOOC is a new method of e-learning that has changed the world and significantly impacted the educational community. OBJECTIVE…INTRODUCTION: With the development of information technology in education, many educational institutions and companies have flocked to the emerging online education market. MOOC is a new method of e-learning that has changed the world and significantly impacted the educational community.
OBJECTIVES: This paper aims to present typical features for developing an online music education platform using MOOC music, AI-based music learning software, and interactive real-time music learning.
METHODS: This paper discusses different models of music teaching methods and pedagogy and summarizes the advantages and disadvantages of such models.
RESULTS: Online music education is an internet technology that fully uses the Internet right to organize good music education.
CONCLUSION: Based on the characteristics and content of music education, this paper presents possible suggestions for the sustainable and healthy development of new data and information models for music education on the Internet in the future.
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Strategies for Analyzing Financial Data of Listed Companies Based on Data Mining
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Authors:
Panke Xie, Shujuan Zheng

Abstract:
INTRODUCTION: A company's net profit is a significant factor in measuring whether the company is performing well or not. How to improve the company's return on assets, strengthen the company's operations, improve the company's capital structure, enhance the company's marketing strength, and acceler…INTRODUCTION: A company's net profit is a significant factor in measuring whether the company is performing well or not. How to improve the company's return on assets, strengthen the company's operations, improve the company's capital structure, enhance the company's marketing strength, and accelerate the company's financing speed is an inevitable choice for the company to avoid falling into a financial crisis.
OBJECTIVES: Forecasting the financial crisis of listed companies based on the financial situation of selected listed companies.
METHODS: The return on assets, shareholders' equity ratio, return on net worth and other company factors have been studied empirically using data mining techniques. A mathematical model for financial risk identification was developed and evaluated.
RESULTS: The results show that the accuracy is above 90%.
CONCLUSION: The study found that the lower the return on capital, the higher the financial risk the firm faces; the lower the financial debt ratio, the higher the chance of financial difficulties, and the two are positively correlated.
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STEAM Education Concept in English Teaching Practice Process Based on Big Data Evolutionary Network Influence Analysis
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Author:
Minmin Guo

Abstract:
INTRODUCTION: English language teaching in China is primarily traditional test-based education. Few teachers customize teaching activities according to the content and students' characteristics, which results in students' low interest in learning English and reduces their understanding and applicat…INTRODUCTION: English language teaching in China is primarily traditional test-based education. Few teachers customize teaching activities according to the content and students' characteristics, which results in students' low interest in learning English and reduces their understanding and application of knowledge to the point that their speaking skills are generally weak. English is different from Chinese in that it combines skills and practice and covers a wide range of knowledge. It is a subject category that combines general knowledge of life with theoretical knowledge. Although it is only a language subject, in the process of learning it, students can also learn the human background, customs, history and culture of foreign countries, enriching their understanding of world culture.
OBJECTIVES: Organic combination of the STEAM model and English teaching can promote academic innovation, on the one hand, to enhance learning hobbies from the aspect of learning needs and to cultivate students' comprehensive literacy, and on the other hand, the innovation of practice and concepts can enhance students' practical ability and innovation ability.
METHODS: This study is based on big data evolutionary network influence analysis of STEAM education concept in English teaching time process analysis of students in the classroom participation, interest in learning English and learning self-confidence and the phenomenon of mismatch between the students' learning foundation, to enhance the student's classroom participation, the interest in learning English and self-confidence, the students' comprehensive literacy, and the acquisition of English language skills.
RESULTS: STEAM + ELT practices + interdisciplinary teaching can be realized by organically combining STEAM education concepts across multiple subject areas.
CONCLUSION: Designing appropriate English teaching activities based on the STEAM education concept and applying the theory in actual teaching activities can achieve the expected results.
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Innovation of Ideological and Political Education Based on Artificial Intelligence Technology with Wireless Network
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Author:
Chuanwen Tang

Abstract:
INTRODUCTION: To apply artificial intelligence technology to ideological and political education in colleges and universities, as well as to combine artificial intelligence technology with ideological and political education in colleges and universities, it is necessary that wireless networks have …INTRODUCTION: To apply artificial intelligence technology to ideological and political education in colleges and universities, as well as to combine artificial intelligence technology with ideological and political education in colleges and universities, it is necessary that wireless networks have complete coverage.
OBJECTIVES: How can ideological and political education in universities and colleges be merged with artificial intelligence? How can artificial intelligence be used to support progressive political education at the college level? Starting with these issues, this paper will focus on the development of ideological and political education in colleges and universities as its main research question and refer to artificial intelligence technology as a method of ideological and political education in colleges and universities supported by wireless networks.
METHODS: By examining the characteristics of artificial intelligence and ideological education in colleges and universities, and combining the poor immediacy and weak timeliness of information dissemination, as well as the low degree of identification of student groups with the theoretical courses of ideological education in the field of ideological education under the view of artificial intelligence, to explore the path of innovation of ideological education,
RESULTS: In order to adapt to the demands of AI technology and improve people's capacity to use AI learning software, we need start with educators and educated individuals. Additionally, the government should encourage the development of artificial intelligence technologies financially and technically. Finally, it examines how civic education in colleges and universities could be improved through the use of artificial intelligence. This would allow civic education to benefit from the advantages of AI technology.
CONCLUSION: In order to support the positive and healthy development of political education courses in colleges and universities across the nation, this paper encourages the creation of concepts and methods for teaching politics in higher education institutions.
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Design of a Big Data-based Evaluation System for Teacher-Student Cooperation in College English Writing
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Authors:
Jia Li, Jinpeng Zhang

Abstract:
INTRODUCTION: With the constant change in information technology, people have entered the era of big data, and the reforms brought about by the era of big data have profoundly affected people's way of life and learning. English writing is one of the four basic skills for mastering English, and the …INTRODUCTION: With the constant change in information technology, people have entered the era of big data, and the reforms brought about by the era of big data have profoundly affected people's way of life and learning. English writing is one of the four basic skills for mastering English, and the skilful mastery of writing is an essential form of accurate expression in English. Different from the traditional teaching modes of "separate assessment of teaching" and "separate assessment of learning", "cooperative assessment between teachers and students" is a new type of assessment mode proposed by professors at the National University in recent years. This cooperative evaluation model advocates the combination of the teaching and evaluation processes and the evaluation and learning processes. In the cooperative evaluation model, evaluation is considered an extension of the teaching process, and the evaluation process itself is also a school process. The arrival of the significant data era also brings new opportunities and challenges for university English teacher-student cooperative evaluation.
OBJECTIVES: We design a university English writing teacher-student cooperative evaluation system based on big data by combining big data with the teacher-student cooperative evaluation.
METHODS: All college English writing classes in one university were selected as the background for ample data research, and with the help of theoretical knowledge and technology related to big data, a model was constructed to analyze the factors affecting the cooperative evaluation system of college English writing teachers and students.
RESULTS: The university English writing teacher-student cooperation evaluation system is analyzed and summarized using big data.
CONCLUSION: By using big data to analyze the evaluation of college English writing teacher-student cooperation, big data can better help teachers understand the weaknesses of students' knowledge points and better help students improve their English proficiency.
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Monitoring and Quality Evaluation Method of English Teaching in Machine Manufacturing Based on Machine Learning and Internet of Things
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Author:
Fang Xie

Abstract:
INTRODUCTION: With the continuous development of society, education is getting more and more attention, and all stages of education, such as elementary school, middle school, high school, Etc., are the fundamental objects of attention, while English in the university, as a critical foreign language…INTRODUCTION: With the continuous development of society, education is getting more and more attention, and all stages of education, such as elementary school, middle school, high school, Etc., are the fundamental objects of attention, while English in the university, as a critical foreign language, is also given considerable attention. Among the various majors in the university, different majors pay different attention to English, among which in the mechanical engineering major, the importance of English is still relatively front and centre, which is helpful for the improvement of students' mechanical engineering level. However, in the current teaching, there are still a series of problems in the English teaching of mechanical majors, which have certain obstacles to improving students' English level.
OBJECTIVES: To give university English teachers more feedback and opinions through a reasonable and perfect teaching monitoring and quality evaluation method; combining their English reading teaching with relevant rules and regulations can better promote the educational quality level of university English and help students improve their English more reasonably.
METHODS: To study and analyze the monitoring and quality evaluation of English teaching in mechanical majors to get the relevant optimization suggestions of teaching mode, and to solve the correlation problem based on multiple linear regression through the calculation of SPSS software, to analyze the final impact mechanism of each item on the quality of teaching.
RESULTS: The results of the sample survey indicate that, firstly, five factors, namely, research direction, disciplinary ladder, scientific research, talent cultivation and management, will have a significant impact on the monitoring and quality evaluation of English teaching in the mechanical program. Secondly, further research on the influence mechanism suggests that the monitoring and quality evaluation of English language teaching in mechanical majors needs some improvement, affecting the English language proficiency of students in this field.
CONCLUSION: After summarizing several factors that impact the evaluation of the quality of English teaching, it is clear that such English classroom teaching has a positive effect on the training of mechanical students.
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Role Mechanism of Enterprise Management Efficiency Improvement Based on Improved Drosophila Algorithm
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Author:
Hui Wang

Abstract:
INTRODUCTION: With today's intelligent technology in full swing, many companies and enterprises need to catch up to the reality of internal management. To make the company better adapt to society and realize its sustainable development, it is essential to optimize the internal management means and …INTRODUCTION: With today's intelligent technology in full swing, many companies and enterprises need to catch up to the reality of internal management. To make the company better adapt to society and realize its sustainable development, it is essential to optimize the internal management means and improve the management efficiency of the enterprise.
OBJECTIVES: To find the optimal staff allocation scheme and the best decision path by utilizing the improved fruit fly algorithm and establishing the enterprise's regular task and staff allocation model.
METHODS: We analyze the standard swarm intelligence algorithms, and then we compare the differences between the basic fruit fly algorithm, the optimized fruit fly algorithm, and the above swarm intelligence algorithms. The fruit fly algorithm is utilized, and the algorithm is optimized to fit the actual enterprise management model. At the same time, the influence of Levy's flight on the Drosophila algorithm in enterprise management efficiency improvement is studied. Finally, it points out the application fields, the optimized Drosophila algorithm's current situation, and the existing problems and shortcomings.
RESULTS: By comparing the performance of the Drosophila algorithm with that of the other three optimization Drosophila algorithms, the influence factors of Levy flight on the enterprise's internal management allocation are obtained, making the algorithm a good fit for the model. The results of the optimal allocation scheme under known conditions and the best decision were obtained.
CONCLUSION: The experimental results show that the optimized fruit fly algorithm can solve the multi-parameter allocation problem of enterprise management, which has high reference value and significance for general enterprise internal management.
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Practice of Teaching Creative Writing with Text in a High-quality Context for College Students Based on Predictive Analysis Ability of Big Data
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Authors:
Mo Xu, Yuanyuan Li

Abstract:
INTRODUCTION: With the advent of the digital age, big data has become essential to all walks of life. In digital education, it has become an indispensable part, which can cover the students' learning progress, learning hours, practice scores, course information, classroom interaction information an…INTRODUCTION: With the advent of the digital age, big data has become essential to all walks of life. In digital education, it has become an indispensable part, which can cover the students' learning progress, learning hours, practice scores, course information, classroom interaction information and so on, which makes the teaching process fully covered and a one-stop learning experience. Big data is essential to promote China's education to the scientific, systematic, informatization and customization continue to move forward.
OBJECTIVES: To further improve the writing ability of college students in China, the systematic learning of big data is integrated into the daily teaching and life of the university so that college students can better embrace this significant data era.
METHODS: This paper discusses the analysis of the current situation of college students' accompanying writing, the problems and improvement methods of college students' accompanying creative writing, the systematic elaboration of big data, and the method of predictive analysis of big data to explore the practice of teaching college students' accompanying creative writing in a high-quality context based on the ability of predictive analysis of big data.
RESULTS: With the advent of the digital age, big data has become an essential part of various fields. As an even more indispensable part of the digital education field, it can cover students' learning progress, learning time, practice results, course information, classroom interaction information, Etc., indeed covering the entire education program for a one-stop learning experience.
CONCLUSION: For language teachers in colleges and universities, improving the ability of predictive analytics under big data and then integrating it into the teaching practice to cultivate college students with high-quality creative writing skills based on the ability of predictive analytics of big data is the current priority, and is also the goal of colleges and universities to cultivate talents.
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Algorithmic Translation Correction Mechanisms: An End-to-end Algorithmic Implementation of English-Chinese Machine Translation
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Author:
Lei Shi

Abstract:
INTRODUCTION: Machine translation is a modern natural language processing research field with important scientific and practical significance. In practice, the variation of languages, the limitation of semantic knowledge, and the lack of parallel language resources limit the development of machine …INTRODUCTION: Machine translation is a modern natural language processing research field with important scientific and practical significance. In practice, the variation of languages, the limitation of semantic knowledge, and the lack of parallel language resources limit the development of machine translation.
OBJECTIVES: This paper aims to avoid duplicating neural networks during the learning process and improve the ability to generalize complex neural network machine translation models with limited resources.
METHODS: Textual material in the source language was studied, and a suitable textual material representation model was used to express complex, high-level, and abstract semantic information. Then, a more efficient neural network machine translation integration model was developed based on the control of written data and algorithms.
RESULTS: Data mining must be applied to complex neural network machine translation systems based on transfer learning to standardize finite neural network models.
CONCLUSION: Neural network-based embedded machine translation systems based on migration training require a small number of labelled samples to improve the system's permeability. However, this adaptive migration learning region approach can easily lead to over-learning problems in neural network machine translation models, thus avoiding excessive correspondences during the learning process and improving the generalization ability of the translation model with limited neural network resources.
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Evaluation of Implementation Effect of Reform and Practice of Vocational Literacy Curriculum for Higher Vocational Computer Science Majors Based on C4.5 Model
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Authors:
Ai min Xu, Yan Lv, You Jia Dai

Abstract:
INTRODUCTION: The cultivation of vocational literacy of higher vocational computer students is related to the employment prospects of graduates and has a significant impact on the computer talent market. The success or failure of curriculum reform will directly impact the effect of cultivating prof…INTRODUCTION: The cultivation of vocational literacy of higher vocational computer students is related to the employment prospects of graduates and has a significant impact on the computer talent market. The success or failure of curriculum reform will directly impact the effect of cultivating professionalism in higher vocational computer majors.
OBJECTIVES: This paper introduces the source and function of the C4.5 model, establishes model evaluation indexes to assess the application effect of the C4.5 model; the number of iterations and prediction accuracy are important indexes of the model's functioning and puts forward five measures suggestions for the reform of vocational literacy course of higher vocational computer majors.
METHODS: C4.5 model is applied to reform vocational literacy courses for higher vocational computer majors, and the effect of practical implementation is evaluated using a questionnaire.
RESULTS: By applying the C4.5 model to reform the vocational literacy course for senior computer majors, the graduates' vocational literacy has been significantly improved.
CONCLUSION: The research contributes to the realization of the goal of cultivating higher vocational computer talents and provides the market with computer talents with outstanding professionalism.
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Exploring Significance of SPOC: A Path to Modernization of Music Cloud Computing
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Author:
Zhaoxia Li

Abstract:
INTRODUCTION: With the development of the information age and the application of cloud computing and big data technology, new changes have occurred in the field of education. Today, the form of learning is becoming more and more diversified, and cloud computing, big data and other information techn…INTRODUCTION: With the development of the information age and the application of cloud computing and big data technology, new changes have occurred in the field of education. Today, the form of learning is becoming more and more diversified, and cloud computing, big data and other information technologies can be more often applied in teaching and learning. The application of cloud computing to the creation and teaching of music can not only improve the interaction between teachers and students in the traditional classroom, but also cloud computing can better capture the problems of teaching in the classroom and provide adjustment suggestions through big data.
OBJECTIVES: This study is to realize distance music teaching of SPOC through cloud computing, big data and other technologies. Further use of cloud computing technology is to improve the traditional music teaching classroom teaching and learning tools are not rich enough, the student perception is more single problem. At the same time, cloud computing technology is also utilized in order to explore the effect of distance music education.
METHODS: Based on the management of learning theory, constructivism and communicative learning theory, this paper carries out the research on music creation and teaching through the methods of cloud computing and big data, and collects and summarizes the related literature at home and abroad, researches the development of big data and cloud computing in the field of music teaching and introduces the principle of SPOC teaching that supports students' independent learning through big data technology.
RESULTS: Based on the training concept of MOOC and cloud computing, the teaching process encourages teachers and students to apply the pedagogical methods of cloud computing to improve the level of music nowadays teaching and learning at the same time, improve the overall quality of students.
CONCLUSION: Music aesthetics education has diversity, SPOC learning process and cloud computing technology should be developed by developing an independent learning method. Therefore, cloud computing technology can help students learn music independently in a three-dimensional way, effectively develop the design stage of the learning process, use big data and cloud computing to better enrich the music teaching model, and implement the construction of independent knowledge. Future research can continue to develop towards empirical evidence and a large number of data experiments.
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Comments Analysis on Social Media: A Review
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Authors:
Brian Alafwan, Manahan Siallagan, Utomo Sarjono Putro

Abstract:
As the number of people using and participating in social media grows, academics become interest in studying this new media, specifically comment analysis, in order to comprehend public opinion and user behavior. However, there are no studies that map the development of comment analysis domain, whi…As the number of people using and participating in social media grows, academics become interest in studying this new media, specifically comment analysis, in order to comprehend public opinion and user behavior. However, there are no studies that map the development of comment analysis domain, which would be valuable for future research. To address the issue, we examine prior publications using PRISMA approach, and offer suggestions for further research. An investigation was conducted to locate pertinent publications published in databases between 2010 and 2022. On the basis of our examination of 115 relevant articles, we found that, within the scope of methodology, prior researches employ two methods (sentiment and content analysis) and three tools (human, software, and mixed coders), and the majority of them concentrate on gathering data from western countries, covering numerous platforms and topics. Based on these findings, we recommend that future research in comment analysis should synthesize methods and instruments. In addition, examine areas that have not been fully explore in terms of platforms (e.g., Instagram and Tiktok), topic (e.g., local government), and regions (e.g., eastern countries) that would be valuable in order to enhance the body of knowledge in this domain.
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Transformation of Information Systems in the Tasikmalaya City Communication and Information Department
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Authors:
Dian Herlina, Benyamin Harits, Yaya Mulyana

Abstract:
Statistical data and information regarding government and regional development is a right of the community. But unfortunately, this has not been fully fulfilled in the community. This research then tries to look at the implementation of factors in managing information systems at the Tasikmalaya Cit…Statistical data and information regarding government and regional development is a right of the community. But unfortunately, this has not been fully fulfilled in the community. This research then tries to look at the implementation of factors in managing information systems at the Tasikmalaya City Communication and Information Service. This research will be carried out using qualitative methods through case studies. The data used in this study came from observations and interviews. The results of this study then found that the management of information systems at the Tasikmalaya Office was still ineffective. Unprofessional executors and inadequate infrastructure have resulted in this. Several factors that can be useful in supporting information transformation at the Tasikmalaya City Service are data collection, data processing, data analysis and assessment, data presentation and dissemination, and documentation. Some of the inhibiting factors for this transformation are professional staff, infrastructure, and technology.
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Smart - Contract Privacy Preservation Mechanism
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Authors:
Muhammed Siraj, Mohd. Izuan Hafez Ninggal, Nur Izura Udzir, Muhammad Daniel Hafiz Abdullah, Aziah Asmawi

Abstract:
Sensitive records stored in the cloud such as healthcare records, private conversation and credit card information are targets of hackers and privacy abuse. Current information and record management systems have difficulties achieving privacy protection of such sensitive records in a secure, transp…Sensitive records stored in the cloud such as healthcare records, private conversation and credit card information are targets of hackers and privacy abuse. Current information and record management systems have difficulties achieving privacy protection of such sensitive records in a secure, transparent, decentralized and trustless environment. The Blockchain technology is a nascent and a promising technology that facilitates data sharing and access in a secure, decentralized and trustless environment. The technology enables the use of smart contracts that can be leveraged to complement existing traditional systems to achieve security objectives that were never possible before. In this paper, we propose a framework based on Blockchain technology to enable privacy-preservation in a secured, decentralized, transparent and trustless environment. We name our framework SmartCoAuth. It is based on Ethereum Smart Contract functions as the secure, decentralized, transparent authentication and authorization mechanism in the framework. It also enables tamper-proof auditing of access to the protected records. We analysed how SmartCoAuth could be integrated into a cloud application to provide reliable privacy-preservation among stakeholders of healthcare records stored in the cloud. The proposed framework provides a satisfactory level of data utility and privacy preservation.
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Artificial intelligence to reduce misleading publications on social networks
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Authors:
José Armando Tiznado Ubillús, Marysela Ladera-Castañeda, César Augusto Atoche Pacherres, Miguel Ángel Atoche Pacherres, Carmen Lucila Infante Saavedra

Abstract:
In this paper we investigated about the potential problems occurring worldwide, regarding social networks with misleading advertisements where some authors applied some artificial intelligence techniques such as: Neural networks as mentioned by Guo, Z., et. al, (2021), sentiment analysis, Paschen (…In this paper we investigated about the potential problems occurring worldwide, regarding social networks with misleading advertisements where some authors applied some artificial intelligence techniques such as: Neural networks as mentioned by Guo, Z., et. al, (2021), sentiment analysis, Paschen (2020), Machine learning, Burkov (2019) cited in Kaufman (2020) and, to combat fake news in front of such publications by social networks in this study were able to identify if these techniques allow to solve the fear that people feel of being victims of misleading news or fake videos without checking concerning covid-19. In conclusion, it was possible to detail in this paper that the techniques applied with artificial intelligence used did not manage to identify misleading news in a deep way. These techniques used are not real-time applications, since each artificial intelligence technique is separately, extracting data from the information of social networks, generating diagnoses without real-time alerts.
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Web information system and management of the graduate follow-up standard in a Public Institute of Higher Technological Education, Peru
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Authors:
Julio Macedo-Figueroa, Dennis Antunez-Carrillo, Enrique Diaz-Vega, William Marín-Rodriguez, Cesar Vasquez-Trejo, Julio Barrenechea-Alvarado

Abstract:
The objective of the research was to establish the relationship between the web information system and the follow-up standards for graduates in a Public Higher Technological Education Institution, Peru, during 2022. Materials and Methods: It corresponds to a non-experimental design of descriptive c…The objective of the research was to establish the relationship between the web information system and the follow-up standards for graduates in a Public Higher Technological Education Institution, Peru, during 2022. Materials and Methods: It corresponds to a non-experimental design of descriptive correlational design. Results: It was shown that 67.4% of the graduates of this institution obtained a medium level in the use of the Web Information System, 19.6% acquired a higher level and 13.0% showed a minimum level, 50.0% of the graduates had a medium level, with respect to the graduate follow-up standard variable, 26.1% acquired a minimum level and 23.9% showed a high level. Conclusions There is a significant and positive relationship, obtaining a Spearman's Rho coefficient of 0.873, between the web information system and the graduate monitoring standards of the Public Higher Technological Education Institution, Peru.
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Demand Analysis of English Language Service Value Based on Data Mining Ecosystem
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Author:
Chang’en Shao

Abstract:
INTRODUCTION: Language is a bridge between people, an indispensable component of information exchange and communication, and an essential part of social culture. As the most widely used language in the world, English occupies an essential position in the social language, generating value demands re…INTRODUCTION: Language is a bridge between people, an indispensable component of information exchange and communication, and an essential part of social culture. As the most widely used language in the world, English occupies an essential position in the social language, generating value demands related to it, ranging from the needs of individuals for their development to the needs of social industries or fields for their development to the national language strategy.
OBJECTIVES: The purpose of this paper is that due to the implementation of the "One Belt, One Road" policy, more and more cultures of the countries along the route are coming into China's vision, and at the same time, Chinese culture should also be promoted, and only through the correct use of language can we promote the Chinese civilization and other civilizations to seek common ground and put aside their differences, appreciate each other, and eliminate the clash of cultures in the process of mutual collision and fusion of different civilizations.
METHODS: Based on the data mining ecosystem, this study examines the demand analysis of the value of English language services in today's environment, explores the explicit and implicit benefits regarding the value of English language services, and analyzes and explores the explicit and implicit economic benefits of language services and the economic, social, and cultural benefits they encompass at different levels.
RESULTS: The research suggests that we need to focus on the value of multiform English language services, strengthen English language industry research and studies, and conduct a scientific English language economic program.
CONCLUSION: Language services and language economy are two closely related concepts. Analyzing language services from multiple perspectives can reveal their explicit and implicit economic, social and cultural benefits.
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Thinking for Soul, Reforming to Empower, and Cooperating to Strengthen Foundation: Responding to Implementation of Educational Reform of Civics and Political Science with Fuzzy Theory Algorithm
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Authors:
Caihua Wang, Weidong Liang, Shuxia Wu

Abstract:
INTRODUCTION: Against the background of the new period of casting souls in Civics, empowering reforms, and strengthening foundations through cooperation, it is necessary to put the educational concepts and strategies of the Party and the government into practice in the process of deepening the educ…INTRODUCTION: Against the background of the new period of casting souls in Civics, empowering reforms, and strengthening foundations through cooperation, it is necessary to put the educational concepts and strategies of the Party and the government into practice in the process of deepening the educational reform of Civics and Politics courses.
OBJECTIVES: This paper starts from the practical feasibility of the work and the conditions of the course design, with clear objectives, optimizing the teaching content, innovating and improving the teaching mode, and gradually forming effective strategies and methods of educational thought and policy.
METHODS: This work examines and synthesizes the challenges and strategies of ideological and political education reform in the contemporary era, employing fuzzy theory and algorithmic approaches.
RESULTS: It is concluded that the reform of the ideological and political curriculum is not only suitable for the development of students but also for the development of an era. Therefore, it is necessary to retain the content of all new textbooks, pay attention to the inclusion of ideological and political content in all textbooks, and ensure that there are scientifically sound and appropriate teaching materials for all teaching materials in order to contribute to the development of curriculum ideology and politics effectively.
CONCLUSION: In the implementation process, it is necessary to improve the comprehensive quality of ideological and political course teaching, establish a sound ideological and political teaching system, and set up a comprehensive construction and educational collaboration mechanism. A multifactor ideological and political learning platform has been created to promote closer integration and interaction between theoretical learning and value orientation.
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Cloud-based Overall Design of Sculptural Public Art in Commercial Neighborhoods
Appears in:
sis 23(6):

Authors:
Ning Liu, Xin Zhong

Abstract:
INTRODUCTION: The shopping street has become the center of economic activities in the city. It is the most popular place in the city, the soul of the shopping street, the reflection of history, culture, folklore, geographical features, and even the city. With the rapid development of the commercial…INTRODUCTION: The shopping street has become the center of economic activities in the city. It is the most popular place in the city, the soul of the shopping street, the reflection of history, culture, folklore, geographical features, and even the city. With the rapid development of the commercial environment, the landscape sculpture on the shopping street is also developing rapidly, and its share in the city construction is getting bigger and bigger. Landscape sculpture is the key to the whole shopping street, so it is vital to study the design of sculpture public art in commercial neighborhoods.
OBJECTIVES: The study of commercial neighborhood sculpture public art through the method of cloud computing in order to improve the overall design level of China's commercial neighborhood sculpture public art, to improve the integration of the development of China's architecture and fine arts field, and secondly, the overall design study of commercial neighborhood sculpture public art can also better improve the overall development of China's tourism industry, and to promote the further enhancement of tourism art.
METHODS: The related commercial and commercial street sculpture theory is discussed. Secondly, the computer technology of cloud computing is further applied in the research of the overall design of the sculpture public art in the commercial street area in order to enhance the informatization level of the overall design of the sculpture public art in the commercial street area, to better adapt to the development of the Internet era. Lastly, the data related to the tourists is calculated using big data technology.
RESULTS: Significant in studying shopping street landscape sculpture. Starting from the research and interpretation theory of small and medium-sized shopping street sculpture, it analyzes the positioning and development of Shaanxi's shopping street sculpture. The purpose is to synthesize the aesthetic characteristics of some commercial street landscape sculptures in Shaanxi Province. Then, the design principles and artistic values of small and medium commercial streetscape sculptures are summarized. In addition, problems and suggestions for optimizing commercial streetscape sculpture in Shaanxi Province and the future development strategy of commercial streetscape sculpture in China are also discussed.
CONCLUSION: Cloud computing and other computer technologies can better enhance the overall design level of commercial streetscape sculpture public art and promote the combination of fine arts and construction industry and the development of tourism.
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STEAM Display Path for Tourism Management in Era of Industry 4.0
Appears in:
sis 23(6):

Author:
Yi Zhao

Abstract:
INTRODUCTION: Tourism management is a critical factor in developing quality human resources. Establishing a scientific and practical system to assess the quality of tourism management and identify and improve problems in tourism management is essential to ensure the quality of tourism management an…INTRODUCTION: Tourism management is a critical factor in developing quality human resources. Establishing a scientific and practical system to assess the quality of tourism management and identify and improve problems in tourism management is essential to ensure the quality of tourism management and realize human development goals.
OBJECTIVES: In order to solve the current problems of China's tourism management, such as weak teachers, STEAM being too "soft," and leadership being too "hard," the concept of STEAM distance learning, literature analysis and other research methods are proposed, and the quality assessment system of tourism management for the bachelor's degree in tourism management is researched in the standard documents of education and management and related literature.
METHODS: Established through interviews with qualified experts, tourism teachers, tourism professionals and others. Factor analysis was used to adjust the system of indicators for tourism students and define an evaluation system consisting of level 1 and corresponding level 2 indicators to determine the weights of the indicators.
RESULTS: The results show that students are satisfied with "average" internships. The lowest level of satisfaction was with the "evaluation of the training process," but this indicator was the highest. Further analysis of the results suggests insufficient investment in professional practice in tourism management.
CONCLUSION: This paper argues that the empirical research and analysis of the current tourism management students can be used to understand the accurate evaluation of tourism management activities based on the solution of the existing problems to improve students' innovative and practical abilities.
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Translation Service Implementation in Cloud: Automation Trends in English Translation Industry
Appears in:
sis 23(6):

Authors:
Qi Song, Xiang Ying Kou

Abstract:
INTRODUCTION: The development of information technology has led to the renewal of teaching methods, and cloud translation combining offline and online learning has become a trend in higher education. OBJECTIVES: It is becoming increasingly apparent that the "surface issues" of blended learning are…INTRODUCTION: The development of information technology has led to the renewal of teaching methods, and cloud translation combining offline and online learning has become a trend in higher education.
OBJECTIVES: It is becoming increasingly apparent that the "surface issues" of blended learning are being addressed, especially the lack of consistency in online task development, which leads to inefficiencies in deep understanding.
METHODS: Through literature research, the factors affecting task planning in cloud translation are analyzed, and a cloud computing task planning model is established based on task learning theory.
RESULTS: The results show that task-based cloud translation can increase students' learning engagement and that targeted group task design is critical in improving students' interest and translation skills.
CONCLUSION: Using complex task modeling can improve the academic level of translation students and increase their involvement in translation projects.
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Interactive Music Distance Education Platform Based on RBF Algorithm
Appears in:
sis 23(6):

Author:
Sujie He

Abstract:
INTRODUCTION: Since the 21st century, Internet technology has been developing rapidly, and the field of education has gradually broken through the traditional offline teaching mode; utilizing the Internet mode for distance education to break the time and space constraints of education and music edu…INTRODUCTION: Since the 21st century, Internet technology has been developing rapidly, and the field of education has gradually broken through the traditional offline teaching mode; utilizing the Internet mode for distance education to break the time and space constraints of education and music education is more restrictive on time and space. However, if distance education can be better utilized to promote the development of online music education, it will promote the development of music education.
OBJECTIVES: This paper combines the past research results of the RBF algorithm, music education and distance education to study the construction of an interactive music distance education platform based on the RBF algorithm. The algorithm is used to improve the quality of the construction of the distance education platform, and the algorithm mainly optimizes the information dissemination path of distance education in the construction of the interactive music distance education platform and improves the reliability of the platform construction.
METHODS: The RBF algorithm is used to optimize the construction of the platform, and the case method is used to study individual schools to detect the actual application of music distance education and to find the strengths and weaknesses of the interactive music distance education platform, and to improve the weaknesses to enhance the platform.
RESULTS: The study found that constructing an interactive music distance education platform will not guarantee the quality of distance education; teachers and students can not quickly realize the effective communication between teachers and students, and some teachers can not better apply the distance education platform. However, there is still room for developing interactive music distance education platforms.
CONCLUSION: The research of interactive music distance education platforms based on the RBF algorithm has a significant positive effect on the development of distance education, art distance education, music education and so on in China. Therefore, it is necessary to continuously improve music education by utilizing online teaching methods and teaching resources.
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Exploring Integration Mechanism of Music Instructional Design and Education Informatization
Appears in:
sis 23(6):

Author:
Chenchen Wang

Abstract:
INTRODUCTION: In the new era of information society, the knowledge reform of school music education is getting more and more attention. Traditional teaching methods need to make full use of information technology. They cannot meet the current learning needs because the learning of information techn…INTRODUCTION: In the new era of information society, the knowledge reform of school music education is getting more and more attention. Traditional teaching methods need to make full use of information technology. They cannot meet the current learning needs because the learning of information technology teaching is an essential means to realize modern learning. , therefore, the application of information technology in music education meets the requirements of the times.
OBJECTIVES: To improve traditional teaching methods by utilizing modern teaching techniques so that students can gain more knowledge. With the help of modern technology and information technology, secondary music education can change the students' audiovisual experience, enrich their musical experience, and deepen their understanding and memorization of knowledge.
METHODS: In this paper, use a neural network algorithm to explore the integration mechanism of music teaching design and education information technology, optimize the traditional information technology teaching platform, improve the stability of the music teaching platform, and further improve the level of network teaching from the feedback of students and teachers.
RESULTS: This study's results found that this experiment's educational platform could motivate students to manage teaching and actively participate in music teaching and lessons. However, due to the real-time nature of information technology, it removes doubts between the parties and facilitates communication between teachers and students. The primary goal of music education is to perceive the attraction of music in terms of sight and sound, to relax the mind and body, and to develop a musical personality. From this perspective, it is also necessary to utilize modern information technology to change teachers' traditional teaching methods in classical performance and singing.
CONCLUSION: With the help of modern technology and information technology, secondary music education can change the audiovisual experience of students, enrich their musical experience, and deepen their understanding and memorization of knowledge. The information system can motivate students to manage teaching and actively participate in music teaching.
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Enigma of Relationship between Digital Economy and Intellectual Property Rights: Reflections on Innovation in Digital Economy Represented by Cloud Computing
Appears in:
sis 23(6):

Authors:
Weier Zhang, Yiyi Zhang

Abstract:
INTRODUCTION: The development of the digital economy and intellectual property management represented by cloud computing has promoted the progress of China's modernization road. Cloud computing plays a vital role in various industries, and the control of intellectual property rights in the digital …INTRODUCTION: The development of the digital economy and intellectual property management represented by cloud computing has promoted the progress of China's modernization road. Cloud computing plays a vital role in various industries, and the control of intellectual property rights in the digital economy represented by cloud computing is closely connected with the high-quality development of China's digital economy, the construction of a robust intellectual property country, and the modernization of the national government. China's intellectual property management capability and digital economy management system are advanced, but practical difficulties still exist at home and abroad.
OBJECTIVES: To improve the development level of computer information technology such as cloud computing; to promote the integrated development of digital economy and intellectual property rights; to solve the protection problems in the practical application of intellectual property rights with information technology; and to promote the coordinated development of digital economy and intellectual property rights represented by cloud computing.
METHODS: Analyzes the role of intranet in protecting business information from the technical perspective of cloud computing; puts forward the hypothesis of the relationship between the digital economy and intellectual property rights by using literature research; and applies the empirical method to verify the use of patent data of state-owned enterprises and the total index of the regional digital economy.
RESULTS: The results of the study show that there is a significant positive correlation between the level of development of cloud computing, the Digital Economy, and the internal cloud computing network of the company, which meets the external conditions of the lack of capacity of the Digital Economy and strengthens the globalization of the cloud computing cooperation network.
CONCLUSION: Companies can manage the risk of data loss in the digital economy by adapting their internal cloud computing capabilities. After in-house processing and multiple reliability tests, the impact of the digital economy, represented by cloud computing, on supply chain innovation remains significant. In the post-financial crisis era, the effect of the digital economy on chain innovation is important because it is a cloud computing technology-intensive production chain with low dependence on external technologies. The digital economy has a threshold effect on innovation in the production chain. With the strengthening of intellectual property protection, the marginal impact of cloud computing and the digital economy on chain innovation increases significantly.
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Software quality models: Exploratory review
Appears in:
sis 23(6):

Authors:
Lloy Pinedo, Miguel Valles-Coral, Jorge Raul Navarro-Cabrera, Richard Injante, Ángel Cárdenas-García, Fernando Ruiz-Saavedra, Cecilia García-Rivas-Plata, César Augusto Flores-Tananta

Abstract:
INTRODUCTION: The emerging industrialization of software promotes the continuous development of new evaluation models that adapt to the product's characteristics and the organizations' needs. OBJECTIVES: This article aims to identify the software quality models proposed between 2016 and 2020. MET…INTRODUCTION: The emerging industrialization of software promotes the continuous development of new evaluation models that adapt to the product's characteristics and the organizations' needs.
OBJECTIVES: This article aims to identify the software quality models proposed between 2016 and 2020.
METHODS: We conducted an exploratory systematic review in the SciELO, IEEE Xplore, and Scopus databases, resulting in 14 research papers proposing new models for assessing software quality.
RESULTS: 79% of the research papers were extracted from IEEE Xplore, and 50% of them were authored by individuals affiliated with European institutions. We presented various software quality models focused on assessing both product quality and usability for specific purposes. Additionally, we reported that the proposed models are based on common software quality metrics standards such as CMMI, ISO/IEC 9126, and others.
CONCLUSION: The review serves to update the state of the art regarding the software quality models proposed in recent years, which will be valuable for researchers and software developers when seeking evaluation models that align with their specific needs.
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Practical Application of Big Data Statistical Analysis Method for Enterprise Economic Management in Digital Era
Appears in:
sis 23(6):

Authors:
Jian Gao, Hui Yang

Abstract:
INTRODUCTION: Today's world has entered the digital era, and big data is flooding people's lives, with more industry development and big data between the deep connections. Digital technology, as a representative of advanced technology globally, influences the global economic pattern. In the digital…INTRODUCTION: Today's world has entered the digital era, and big data is flooding people's lives, with more industry development and big data between the deep connections. Digital technology, as a representative of advanced technology globally, influences the global economic pattern. In the digital era and the background of rapid economic growth, there is a deeper integration between economics and management. Financial management work occupies an essential position in the development of enterprises and has an irreplaceable role in improving the economic efficiency of enterprises.
OBJECTIVES: Relying on digital technology under the extensive data statistical analysis method combines the advantages of big data technology and statistics. Its application for enterprise economic management can explore the law of enterprise management and operation to promote the improvement of management efficiency and the healthy development of enterprises.
METHODS: In the context of the digital era, the six representative methods of extensive data statistical analysis methods are introduced, and then their practical application in enterprise economic management is studied, respectively, from five aspects to discuss the application of extensive data statistical analysis methods for enterprise financial management.
RESULTS: Big data statistical analysis can provide information support for improving the level of enterprise economic management, promote the benign development of enterprises, and enhance the competitiveness of enterprises in the market.
CONCLUSION: To strengthen the application of extensive data statistical analysis methods in enterprise economic management, its insights and measures that can provide valuable reference and help for the healthy development of enterprises.
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Innovative Mode of English Education Based on Internet
Appears in:
sis 23(6):

Author:
Juan Yan

Abstract:
INTRODUCTION: With the deepening application of cloud computing, mobile Internet, and big data technology in education, China's education informatization presents a new trend of integration and innovation, especially in the areas of resource sharing and interconnection, online and offline integrati…INTRODUCTION: With the deepening application of cloud computing, mobile Internet, and big data technology in education, China's education informatization presents a new trend of integration and innovation, especially in the areas of resource sharing and interconnection, online and offline integration of teaching and learning, and good management and education governance based on big data, "Internet+Education" will have a systematic change impact on education. It will systematically impact education and open new paths for developing and utilizing English curriculum resources in colleges and universities in the Internet era.
OBJECTIVES: To enhance the development level of online education in China and promote the sustainable development of online English education in China; to solve the problems of rigidity and unremarkable innovation in English education mode in colleges and universities and to promote the development of the integration of Internet technology and English teaching, and to improve the level of combining the theory and practice of English online education in China.
METHODS: Firstly on the use of literature theoretical research to find the necessity of the Internet's English education innovation model research and adapt to the theoretical model; secondly, through the method of questionnaires and interviews from the teachers and students of two perspectives to study the effect of the Internet-based English education innovation model; finally, the use of empirical methods to validate the level of efficiency of the Internet's English education innovation model.
RESULTS: The research on the innovative model of English education based on the Internet is necessary; the result that "Internet+" education can improve the teaching effect can be obtained from both the teachers' and students' perspectives; the empirical method verifies that the efficiency of the innovative model of English education based on the Internet is higher than that of the traditional one.
CONCLUSION: Most teachers and students know or have come into contact with online college English course resources, but their understanding could be better. Moreover, they have used them but have yet to have the opportunity to participate in their development, which is related to the level of teachers' and students' professional knowledge and ability and also predicts the growth and utilization of course resources by college English teachers. The comparison of teachers' and students' expectations leads to the conclusion that teachers and students in the studied universities have positive attitudes and high expectations and expect to develop and use more systematic and scientific online English course resources.
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Evaluation Method of Practice Teaching Quality of Tourism Management Major Based on STEAM Distance Education Concept and Cloud Computing
Appears in:
sis 23(6):

Author:
Mengfei Wei

Abstract:
INTRODUCTION: Tourism Management based on cloud computing is critical in developing quality human resources. Establishing a scientific and practical system to assess the quality of Tourism Management based on cloud computing and identify and improve problems in Tourism Management based on cloud com…INTRODUCTION: Tourism Management based on cloud computing is critical in developing quality human resources. Establishing a scientific and practical system to assess the quality of Tourism Management based on cloud computing and identify and improve problems in Tourism Management based on cloud computing primarily based on cloud computing is essential to ensure the quality of Tourism Management based on cloud computing and realize human development goals.
OBJECTIVES: To solve the current problems of China's Tourism Management based on cloud computing, such as weak teachers, STEAM being too "soft," and leadership being too "hard," the concept of STEAM distance learning, literature analysis and other research methods are proposed, and the quality assessment system of Tourism Management based on cloud computing for the bachelor's degree in Tourism Management based on cloud computing is researched in the standard documents of education and management and related literature.
METHODS: Established through interviews with qualified experts, tourism teachers, tourism professionals, and others. Factor analysis was used to adjust the system of indicators for tourism students and define an evaluation system consisting of level 1 and corresponding level 2 hands to determine the weights of the hands.
RESULTS: The results show that students are satisfied with "average" internships. The lowest level of satisfaction was with the "evaluation of the training process," but this indicator was the highest. Further analysis of the results suggests insufficient investment in professional practice in Tourism Management based on cloud computing.
CONCLUSION: Argues that the empirical research and analysis of the current Tourism Management based on cloud computing students can be used to understand the accurate evaluation of Tourism Management based on cloud computing activities based on the solution of the existing problems to improve students' innovative and practical abilities.
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Application of Subjective and Objective Empowerment in Evaluation of ideological and political Distance Learning Online Teaching
Appears in:
sis 23(6):

Authors:
Yu Cui, Lijuan Wang, Lemin Li

Abstract:
INTRODUCTION: Distance network teaching has been widely used in today's informationization era, and it also provides a new teaching mode for ideological and political education. However, evaluating the quality of ideological and political distance network teaching still needs to be solved. OBJECTI…INTRODUCTION: Distance network teaching has been widely used in today's informationization era, and it also provides a new teaching mode for ideological and political education. However, evaluating the quality of ideological and political distance network teaching still needs to be solved.
OBJECTIVES: To solve the problem of subjective solid dependence in its evaluation, the hierarchical analysis method and entropy weighting method are used to calculate the subjective and objective weights, and the principle of minimum information identification is used to determine the optimal comprehensive consequences of the indicators, taking into account the absolute subjectivity and absolute objectivity brought about by the calculation method of the weights of the hands.
METHODS: Considering the incompatibility of grade determination in the evaluation results, the evaluation grade determination of Civics remote network teaching is completed through the table evaluation model, and the table evaluation model of Civics remote network teaching based on the principle of minimum information discrimination with combined weights is finally established, and the application of the model is carried out.
RESULTS: The evaluation model is simple and practical and improves the efficiency and operability of comprehensive evaluation.
CONCLUSION: Civics remote network teaching will further broaden the sharing and dissemination channels of educational resources and needs to improve the quality and effect of education continuously, and the study has a good application prospect for the evaluation of Civics remote network teaching.
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Word Embedding for Text Classification: Efficient CNN and Bi-GRU Fusion Multi Attention Mechanism
Appears in:
sis 23(6):

Authors:
Yalamanchili Salini, Poluru Eswaraiah, M. Veera Brahmam, Uddagiri Sirisha

Abstract:
The proposed methodology for the task of text classification involves the utilization of a deep learning algorithm that integrates the characteristics of a fusion model. The present model is comprised of several attention-based Convolutional Neural Networks (CNNs) and Gate Recurrent Units (GRUs) th…The proposed methodology for the task of text classification involves the utilization of a deep learning algorithm that integrates the characteristics of a fusion model. The present model is comprised of several attention-based Convolutional Neural Networks (CNNs) and Gate Recurrent Units (GRUs) that are organized in a cyclic neural network. The Efficient CNN and Bi-GRU Fusion Multi Attention Mechanism is a method that integrates convolutional neural networks (CNNs) and bidirectional Gated Recurrent Units (Bi-GRUs) with multi-attention mechanisms in order to enhance the efficacy of word embedding for the purpose of text classification. The proposed design facilitates the extraction of both local and global features of textual feature words and employs an attention mechanism to compute the significance of words in text classification. The fusion model endeavors to enhance the performance of text classification tasks by effectively representing text documents through the combination of CNNs, Bi-GRUs, and multi-attention mechanisms. This approach aims to capture both local and global contextual information, thereby improving the model’s ability to process and analyze textual data. Moreover, the amalgamation of diverse models can potentially augment the precision of text categorization. The study involved conducting experiments on various data sets, including the IMDB film review data set and the THUCNews data set. The results of the study demonstrate that the proposed model exhibits superior performance compared to previous models that relied solely on CNN, LSTM, or fusion models that integrated these architectures. This superiority is evident in terms of accuracy, recall rate, and F1 score.
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Design thinking program on the google classroom platform on creativity in high school students
Appears in:
sis 23(6):

Authors:
Gladys Tenorio-Molina, Naara Medina-Altamirano, Nerio Enriquez-Gavilan, Monica Quispe-Solano, Aydeé Lopez-Curasma, Angel Cochachi-Quispe

Abstract:
INTRODUCTION: The problem in this topic lies in the lack of focus on the development of creative and problem-solving skills in high school students at Institution No. 6152 in Lima during the year 2022. This deficiency can limit their ability to tackle the challenges of the present and future world,…INTRODUCTION: The problem in this topic lies in the lack of focus on the development of creative and problem-solving skills in high school students at Institution No. 6152 in Lima during the year 2022. This deficiency can limit their ability to tackle the challenges of the present and future world, making it necessary to implement a Design Thinking program on the Google Classroom platform to address this issue.
OBJECTIVES: The objective of this research was to evaluate the effects of the design thinking program in the google classroom platform on creativity in high school students of Institution N°6152, Lima-2022.
METHODS: The methodology was conducted under a quantitative approach, applied, with a quasi-experimental design, with 30 students in the experimental group and 24 in the control group.
RESULTS: The creativity instrument was applied before and after the program to both groups. In the descriptive results of the general objective, in the experimental group of the pre-test, 80% were at a moderate level and 20% at a low level, and after the program was applied, 50% were at a moderate and high level , so there were changes in creativity. It is concluded with the result of the student’s t-test finding ap value = 0.029 < 0.05 that the google classroom program significantly improved creativity in high school students of the institution N°.6152,Lima.2022.
CONCLUSION: the Design Thinking program on the Google Classroom platform aimed at fostering creativity in high school students at Institution No. 6152 in Lima during 2022 addresses the lack of creative and problem-solving skills. This educational approach prepares students to tackle contemporary challenges by promoting empathy, collaboration, and experimentation. It represents a valuable investment in their future, equipping them to excel in an ever-changing world.
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Essential Integration of eHRM 4.0 Approach, IT Infrastructure and CEO Support to Support Supply Chain Performance in Small-Scale Logistics Companies
Appears in:
sis 23(6):

Authors:
Mashudi , Luluk Fauziah, Nurul Imani Kurniawati

Abstract:
INTRODUCTION: IT infrastructure resources in large-sized companies have evolved into large-scale intelligent enterprise systems due to the emergence of Big Data, Internet of Things, and artificial intelligence technologies. OBJECTIVES: The purpose of this study was to analyze the effect of eHRM im…INTRODUCTION: IT infrastructure resources in large-sized companies have evolved into large-scale intelligent enterprise systems due to the emergence of Big Data, Internet of Things, and artificial intelligence technologies.
OBJECTIVES: The purpose of this study was to analyze the effect of eHRM implementation and the availability of IT infrastructure on top management/CEO support and the performance of logistics companies in Semarang city.
METHODS: This study uses a quantitative method with an analytical tool using SEM-PLS. The sampling method for this study used a purposive sampling technique with a total sample of 120 samples.
RESULTS: IT infrastructure has a significant effect on top management support in logistics companies, the role of eHRM has a significant effect on top management support, the role of eHRM has a significant effect on CEO support, eHRM has a significant effect on company performance, IT infrastructure has a significant effect on company performance, support CEO has a significant effect on company performance, IT infrastructure has a significant effect on company performance, and the role of eHRM has no significant effect on company performance.
CONCLUSION: IT Infrastructure and CEO Support influence Supply Chain Performance in Small-Scale Logistics Companies.
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Excessive Use of Mobile Phones and Social Networks Among Colombian University Students
Appears in:
sis 23(6):

Authors:
Jenny Paola Lis-Gutiérrez, Henry Zapata-Patarroto

Abstract:
INTRODUCTION: Social networks facilitate interactions among individuals, organizations, and communities. Their usage, especially among young people, has become increasingly widespread. This surge in usage has been linked to various impacts on individuals' daily lives and well-being, particularly in…INTRODUCTION: Social networks facilitate interactions among individuals, organizations, and communities. Their usage, especially among young people, has become increasingly widespread. This surge in usage has been linked to various impacts on individuals' daily lives and well-being, particularly in academic and emotional aspects.
OBJECTIVES: This study seeks to examine the extent to which excessive use of social networks (SN) contributes to social isolation among undergraduate students aged 18 to 35, residing in the departments of Cundinamarca, Boyaca, and Meta in Colombia. This phenomenon is primarily due to problematic cell phone use.
METHODS: We administered two established instruments: the "Mobile Phone Problem Use Scale (MPPUS-10)" adapted by Foerster et al. (2015), and the "Addiction to Social Networks Questionnaire " developed by Escurra & Salas (2014). Statistical analyses included descriptive techniques, multivariate Henze-Zirkler normality test, univariate Shapiro-Wilk test, as well as non-parametric methods such as Spearman's correlation and the Kruskal-Wallis test.
RESULTS: Key findings of this study include: (i) the identified intervention and mitigation strategies in the literature predominantly focus on prevention programs and family support with an emphasis on bolstering young people's self-esteem; (ii) 15.46% of the sample exhibited problematic cell phone use, with 25.96% indicating high intensity of social network use; (iii) significant differences were observed in relation to age and geographic location, while gender and socio-economic stratum did not exhibit a statistically significant impact; (iv) the statistical analysis demonstrated a positive and significant relationship with the dimensions of the Escurra & Salas (2014) instrument, namely Interest in Social Media (ISM), concern about lack of control (LC), and Excessive use of SN (EU).
CONCLUSION: The Mobile Phone Problem Use Scale (MPPUS-10) emerges as a concise and effective tool for identifying problematic cell phone use, and its association with excessive social network usage underscores the interconnectedness of these behaviours. This research sheds light on the prevalence of these issues among Colombian university students and provides valuable insights for targeted intervention and support strategies, emphasizing the importance of bolstering self-esteem in youth.
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Scope

EAI Endorsed Transactions on Scalable Information Systems is open access, a peer-reviewed scholarly journal focused on scalable distributed information systems, scalable, data mining, grid information systems, and more. The journal publishes research articles, review articles, commentaries, editorials, technical articles, and short communications. From 2020, the journal started to publish five issues per year. Authors are not charged for article submission and processing.

INDEXING: ESCI-WoS (IF: 1.3), Scopus (CiteScore 2022: 2.6), Compendex, DOAJ, ProQuest, EBSCO

Topics

The scope of the journal includes:

Scalable distributed information systems
Scalable grid information systems
Parallel information processing and systems
Web information searching and retrieval
Data mining
Content delivery networks (CDN)
VLDB
P2P systems
Scalable mobile…

The scope of the journal includes:

Scalable distributed information systems
Scalable grid information systems
Parallel information processing and systems
Web information searching and retrieval
Data mining
Content delivery networks (CDN)
VLDB
P2P systems
Scalable mobile and wireless database systems
Large scale sensor network systems
Index compression methods
Architectures for scalability
Scalable information system applications
Evaluation metrics for scalability
Information security

Web of Science Core Collection
Ei Compendex
DOAJ
CrossRef
[EBSCO Discovery Service](https://www.ebsco.com/products/ebsco-disco…

Special Issues

Call for Papers: Special issue on: Real-time image information processing with deep neural networks and data mining technologies (Manuscript submission deadline: 2022-02-28; Notification of acceptance: 2022-04-15; Submission of final revised paper: 2022-…

Guest Editor: Dr. Prof. Hang Li (Northeastern University, China) Guest Editor: Dr. Prof. Jochen Schiewe (HafenCity Universität Hamburg, Germany)

Editors-in-Chief
Hua Wang, Victoria University, Australia
Xiaohua Jia, City University of Hong Kong
Editorial board
Manik Sharma, DAV University, India
Ajay Kattepur (Tata Consultancy Services)
Aniello Castiglione (University of Salerno)
Chang Choi (Chosun University)
Cho-…

Editors-in-Chief
Hua Wang, Victoria University, Australia
Xiaohua Jia, City University of Hong Kong
Editorial board
Manik Sharma, DAV University, India
Ajay Kattepur (Tata Consultancy Services)
Aniello Castiglione (University of Salerno)
Chang Choi (Chosun University)
Cho-Li Wang (University of Hong Kong)
Daniel S. Katz (University of Chicago)
Fabrizio Silvestri (ISTI – CNR, Italy)
Hamed Taherdoost (Hamta Business Solution Snd)
Heng Tao Shen (University of Queensland)
Houbing Song (Embry-Riddle Aeronautical University)
José Manuel Machado (University of Minho, Portugal)
Jose Merseguer (Universidad de Zaragoza)
Jie Li (University of Tsukuba)
Lin Yun (Harbin Engineering University)
Phan Cong Vinh (Nguyen Tat Thanh University)
Raj Gururajan (University of Southern Queensland)
Sherman Chow (Chinese University of Hong Kong)
Silva Fábio (University of Minho, Portugal)
Steve Beitzel (Telcordia)
Tzung-Pei Hong (National University of Kaohsiung, Kaohsing City, Taiwan)
Wang-Chien Lee (The Pennsylvania State University)
Weili Wu (The University of Texas at Dallas)
Xueyan Tang (Nanyang Technological University)
Vijayakumar Ponnusamy (SRM University, India)
J Amudhavel (KL University, India)
Yingshu Li (Georgia State University)
Jerry Chun-Wei Lin (Western Norway University of Applied Sciences, Norway)
Karolj Skala (Ruđer Bošković Institute, Croatia)
Xiao-Zhi Gao (University of Eastern Finland, Finland)
Thaier Hayajneh (Fordham University, USA)
Chin-Ling Chen (Chaoyang University of Technology, Taiwan)
Nuno M. Garcia (Faculty of Sciences, University of Lisbon, Portugal)
Arianna D'Ulizia (Consiglio Nazionale delle Ricerche (CNR), Italy)
Robertas Damaševičius (Kaunas University of Technology (KTU), Lithuania)
Hiep Xuan Huynh (Can Tho University, VietNam)
Ji Zhang (University of Southern Queensland, Australia)
Xiaohui Tao (University of Southern Queensland, Australia)
Ye Wang (National University of Defense Technology, China)
Nageswara Rao Moparthi (KL University, India)
Shuai Liu (Hunan Normal University, China)
Prof Xiaoming Fu (Georg-August-University of Goettingen, Germany)
Prof Zhisheng Huang (Vrije University of Amsterdam)
Prof Rose Quan (Northumbria University, UK)
Prof Shi Dong (Zhoukou Normal University, China)
Dr Limei Peng (Kyungpook National University, South Korea)
Prof Hui Ma( Victoria University of Wellington, New Zealand)
Dr. Venkatesan Subramanian (Indian Institute of Information Technology – Allahabad, India)
Dr Pon Harshavardhanan (VIT Bhopal University, India)
Dr. Manish Kumar (The Indian Institute of Information Technology, Allahabad, India)
Muzammil Hussain, University of Management and Technology, Lahore, Pakistan
Michael Bewong, Charles Sturt University, Australia
Shabir Ahmad, Gachon University, Korea
Vu Nguyen, University of Science, Vietnam
Xiaodi Huang, Charles Sturt University, Australia
Jianming Yong, University of Southern Queensland, Australia
Yogeshwar Vijayakumar Navandar; National Institute of Technology, Indian.
Zhengyi Chai, Tiangong University in China, China
Chuanlong Wang, Taiyuan Normal University, China
Chin-Feng Lee, Chaoyang University of Technology, Taiwan
Hsing-Chung Chen (Jack Chen), Asia University, Taiwan
Wen-Yang Lin, National University of Kaohsiung, Taiwan
Chun-Hao Chen, National Kaohsiung University of Science and Technology, Taiwan
Mudasir Mohd, University of Kashmir, India.
BalaAnand Muthu, INTI International University, Malaysia.
Md Rafiqul Islam, Australian Institute of Higher Education, Australia.
Jin Wang, Institute of Applied Physics and Computational Mathematics, China.
Chandu Thota, University of Nicosia, Cyprus.
Haris M. Khalid, University of Dubai, UAE.
Dr. G. Reza Nasiri, Alzahra University, Tehran, Iran.
Siuly Siuly, Victoria University, Australia
Bishnu Prasad Gautam, Kanazawa Gakuin University, Japan
Sivaparthipan C B, Bharathiar University, India
Ting-Chia Hsu, National Taiwan Normal University, Taiwan
Punitha Palanisamy, Tagore IET, India
Lakshmana Kumar R, Tagore IET, India
Weiwei Jiang, Beijing University of Posts and Telecommunications, Taiwan

Journal Blurb

Visit the new journal website to submit and consult our contents: https://publications.eai.eu/index.php/sis/index

Publisher: EAI
ISSN: 2032-9407
Volume: 10

Published: 2023-09-05

Examining Obstacles to Women's Advancement in Technical Careers

Data Mining Algorithm Based on Fusion Computer Artificial Intelligence Technology

MIED : An Improved Graph Neural Network for Node Embedding in Heterogeneous Graphs

Trends in Informatization of Electronic Music Composition Data in the Context of Distance Education

Strategies for Analyzing Financial Data of Listed Companies Based on Data Mining

STEAM Education Concept in English Teaching Practice Process Based on Big Data Evolutionary Network Influence Analysis

Innovation of Ideological and Political Education Based on Artificial Intelligence Technology with Wireless Network

Design of a Big Data-based Evaluation System for Teacher-Student Cooperation in College English Writing

Monitoring and Quality Evaluation Method of English Teaching in Machine Manufacturing Based on Machine Learning and Internet of Things

Role Mechanism of Enterprise Management Efficiency Improvement Based on Improved Drosophila Algorithm

Practice of Teaching Creative Writing with Text in a High-quality Context for College Students Based on Predictive Analysis Ability of Big Data

Algorithmic Translation Correction Mechanisms: An End-to-end Algorithmic Implementation of English-Chinese Machine Translation

Evaluation of Implementation Effect of Reform and Practice of Vocational Literacy Curriculum for Higher Vocational Computer Science Majors Based on C4.5 Model

Exploring Significance of SPOC: A Path to Modernization of Music Cloud Computing

Comments Analysis on Social Media: A Review

Transformation of Information Systems in the Tasikmalaya City Communication and Information Department

Smart - Contract Privacy Preservation Mechanism

Artificial intelligence to reduce misleading publications on social networks

Web information system and management of the graduate follow-up standard in a Public Institute of Higher Technological Education, Peru

Demand Analysis of English Language Service Value Based on Data Mining Ecosystem

Thinking for Soul, Reforming to Empower, and Cooperating to Strengthen Foundation: Responding to Implementation of Educational Reform of Civics and Political Science with Fuzzy Theory Algorithm

Cloud-based Overall Design of Sculptural Public Art in Commercial Neighborhoods

STEAM Display Path for Tourism Management in Era of Industry 4.0

Translation Service Implementation in Cloud: Automation Trends in English Translation Industry

Interactive Music Distance Education Platform Based on RBF Algorithm

Exploring Integration Mechanism of Music Instructional Design and Education Informatization

Enigma of Relationship between Digital Economy and Intellectual Property Rights: Reflections on Innovation in Digital Economy Represented by Cloud Computing

Software quality models: Exploratory review

Practical Application of Big Data Statistical Analysis Method for Enterprise Economic Management in Digital Era

Innovative Mode of English Education Based on Internet

Evaluation Method of Practice Teaching Quality of Tourism Management Major Based on STEAM Distance Education Concept and Cloud Computing

Application of Subjective and Objective Empowerment in Evaluation of ideological and political Distance Learning Online Teaching

Word Embedding for Text Classification: Efficient CNN and Bi-GRU Fusion Multi Attention Mechanism

Design thinking program on the google classroom platform on creativity in high school students

Essential Integration of eHRM 4.0 Approach, IT Infrastructure and CEO Support to Support Supply Chain Performance in Small-Scale Logistics Companies

Excessive Use of Mobile Phones and Social Networks Among Colombian University Students

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