{"title":"Ideological and Political Function Modeling of College Music Education Based on Improved Neural Network","authors":"Liya Xu","doi":"10.4018/ijec.316827","DOIUrl":"https://doi.org/10.4018/ijec.316827","url":null,"abstract":"In the new situation, the state attaches great importance to the ideological and political work in colleges and universities. In order to optimize the function of ideological and political education in colleges and universities, this paper puts forward a modeling method based on improved neural network. Combining ideological and political education with music education organically, this paper studies and calculates the influence relationship and optimizes the structure of ideological and political function model of university music education combined with neural network principle. It puts forward effective strategies to promote the integration of the two.","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"48 1","pages":"1-14"},"PeriodicalIF":0.0,"publicationDate":"2023-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89252301","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Bar Image Identification Based on Laplacian Eigenmap and Fuzzy SVM","authors":"Xu Shao","doi":"10.4018/ijec.316874","DOIUrl":"https://doi.org/10.4018/ijec.316874","url":null,"abstract":"Bar code image recognition is a key technology in modern logistics management. An efficient identification system is built based on manifold learning and fuzzy SVM. By integrating the fractal image segmentation technology, it realizes high automatic classification and identification of bar code image. At first, the authors conduct the preprocessing of the collected code image, including three steps, tilt correction, image binarization based on globally dynamic threshold, and fractal segmentation technology. Then, a graph-based fuzzy support vector machine is proposed to realize the high accuracy classification and identification. Experimental results indicate that the accuracy of the proposed method is higher than other compared methods in both pure and noisy samples, reaching 96.6% and 94.5%. And no huge decrease exists when some noise is added to the pure dataset, and the percentage is only 2.1%, which is much lower than the drop of other methods. It shows that the proposed method can significantly promote the identification accuracy, the generalization, and robustness to noise.","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"25 1","pages":"1-13"},"PeriodicalIF":0.0,"publicationDate":"2023-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74356250","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Reform of English Writing Teaching Method Under the Background of Big Data and Artificial Intelligence","authors":"Jing Chen","doi":"10.4018/ijec.316828","DOIUrl":"https://doi.org/10.4018/ijec.316828","url":null,"abstract":"In the new era of informatization, big data, and artificial intelligence, the education field has also set off a wave of informatization development of English education. Teaching writing has always been the focus and challenge of English teaching, but there are various problems in English writing teaching in China. Problems such as difficulty in writing, vague expression, unclear main points, simple sentence structure, low vocabulary, etc. How to effectively carry out English writing teaching courses is worthy of our serious consideration. Based on this, this article studies the reform of English writing teaching methods under the background of big data and artificial intelligence. Survey data shows that only 10.53% of teachers often combine online teaching resources with English writing teaching, 25% of teachers have hardly used them, and 64.47% of teachers occasionally use online teaching platform resources. This shows that the reform of English writing teaching methods needs to start from the aspect of education informatization.","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"139 1","pages":"1-16"},"PeriodicalIF":0.0,"publicationDate":"2023-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79920084","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"College Students Consumption Behavior Under the Background of E-Commerce and Smart Logistics Technologies","authors":"Xuefeng Zhang, Weihua Lyu, Su Han","doi":"10.4018/ijec.316881","DOIUrl":"https://doi.org/10.4018/ijec.316881","url":null,"abstract":"The impact of online systems and processes worldwide makes online purchasing popular. College students are among the possible buyers of E-commerce. This study looks at the characteristics that influence college students' online purchase intention in one of Chinese quickest cities. With smart logistics, it is possible to follow the transportation and dispatch of goods and services in almost real-time. Smart logistics has long been implemented by e-commerce enterprises, taxi apps, and food delivery services. The student's Consumption Behavior Approach (SCBA) is suggested in this article. The survey collection is analyzed to group the learner's research on online activityand smart logistics technology. Because the sample group is thus tiny, approaches are used. The findings reveal that fun, risk, and cultural pressure substantially influence pupils' online buying behavior. SCBA grouping produces three behavioral sections: that mostly impacted by social power and perception of risk, that features by pleasure and online trust.","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"309 1","pages":"1-20"},"PeriodicalIF":0.0,"publicationDate":"2023-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79945263","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"E-Learning Teaching System in Augmentative and Alternative Communication Using Big Data Analytics","authors":"Lei Lei, Ching-Hsien Hsu, Seifedine Kadry","doi":"10.4018/ijec.316826","DOIUrl":"https://doi.org/10.4018/ijec.316826","url":null,"abstract":"The key barriers to children with special needs to contact individuals are to sustain them alertly and efficiently for learning languages. As the first step for students with disabilities is language development. The report contributes to the sector by identifying the obstacles and opportunities. The research proposed an English language teaching in augmentative and alternative communication (ELT-AAC) and was performed using a qualitative approach by extracting evidence from several independent schools with particular students. The results showed the educators were faced with great difficulty in educating advanced students on the language: limited comprehension, classroom equipment, unawareness, and inappropriate language instruction. The research further showed that the problems were mitigated and language instruction improved by special education, another well-designed class, daily psychological counseling, and various viewpoints.","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"10 1","pages":"1-20"},"PeriodicalIF":0.0,"publicationDate":"2023-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84344443","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Big Data Assisted Empirical Study for Business Value Identification Using Smart Technologies: An Empirical Study for Business Value Identification of Big Data Adaption in E-Commerce","authors":"Changrong Zhang, Bin Liu, B. Mohammed, A. Jumani","doi":"10.4018/ijec.316882","DOIUrl":"https://doi.org/10.4018/ijec.316882","url":null,"abstract":"The main problem for the big data for an e-commerce site is getting a meaningful data analysis, which the big descriptive statistics consider the most crucial usage. The collection, segmentation, and analysis of customer insights are critical to developing an effective and precise tailored experience for each consumer. Analyzing and segmentation of customer insights are essential to creating an effective and personalized experience for each customer. Using price optimization (BDA-PO), big data analytics has been proposed, enabling enterprising services like tourism, shopping, transportation, and creative industries to provide variable rates for products and services using Smart Technologies for E-Business and Commerce. Price optimizing can be automated with machine learning algorithms to enhance profitability when pricing decisions are taken effectively. When pricing decisions are made correctly, it is possible to automate price optimization using machine learning algorithms.","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"20 1","pages":"1-19"},"PeriodicalIF":0.0,"publicationDate":"2023-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85552438","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Efficient Identity-Based Multi-Cloud Security Access Control in Distributed Environments","authors":"S. Yakoob, V. Reddy","doi":"10.4018/ijec.316771","DOIUrl":"https://doi.org/10.4018/ijec.316771","url":null,"abstract":"Distributed computing is a forceful idea in disseminated registering which depicts versatile information to the executives for a minimal price dependent on client interest to various business associations. Because of multi-cloud identity-based encryption over distributed environment, in this document, the authors present and implement a novel identity-based multi-cloud security access control approach (NIMSACPA) for efficient security in multi data security and privacy based on three basic parametric concepts: 1) open minded security between autonomous user privacy using Byzantine protocol, 2) to classify the security privileges with respect to multi-cloud data sharing is described using DepSky Architecture, and 3) for identity-based information distribution between diverse users in CC described using Shamir secret key sharing procedure. This execution gives better and critical execution as far as data stockpiling and information investigation contrast and existing cryptographic techniques alongside practical multi-cloud information.","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"10 1","pages":"1-13"},"PeriodicalIF":0.0,"publicationDate":"2023-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77288009","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Cognitive Web Service-Based Learning Analytics in Education Systems Using Big Data Analytics","authors":"Li Bin","doi":"10.4018/ijec.316658","DOIUrl":"https://doi.org/10.4018/ijec.316658","url":null,"abstract":"In the field of education, digital learning plays an important part. For each passing day, digital learning is displacing the traditional method of education. An accurate analysis of a student's qualities improves their academic performance. With the advancement of technology and big data, there are many applications for big data analytics, including education. Huge volumes of academic information are being generated, and discovering a technique to harness and analyze this information effectively is a challenging issue among many educational organizations. In this paper, educational clustering big data mining system (ECBDMS) has been proposed. The cognitive web service based learning analytic(CWS-LA) system is integrated to securely categorize and provide ease of access to the data. ECBDMS has been found to improve performance gains of 92.8%, prediction ratios of 88.6%, clustering error ratios of 2.3 percent, learning percentages of 94%, and forecasting accuracy of 97.1 percent when compared to other existing methods.","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"7 1","pages":"1-19"},"PeriodicalIF":0.0,"publicationDate":"2023-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84748619","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"International Journal of e-Collaboration (IJeC): Improved Cognitive Web Service sand Finger Rehabilitation System using Motor Imagination for Sports Injury Restoration","authors":"Huina Gao, Ravindra Luhach, Muhammed Alshehri","doi":"10.4018/ijec.316660","DOIUrl":"https://doi.org/10.4018/ijec.316660","url":null,"abstract":"In researching cognitive or motor learning aspects of activity control, motor imagery (MI) is a widely used model. Research has shown that motor imagery training can aid in memorizing motor functions because of the functional associations it shares with physical movement. Because of the high level of contact in these sports, players are more likely to sustain finger injuries. As a group of machine learning techniques, cognitive web services are designed to solve AI-related challenges. Because they are modular, cognitive web services can be easily integrated into any program, making AI more accessible to everyone. Some performers return to play early with defensive splinting, taping, and casting depending on the damage and the position played. Other injuries, predominantly in performers necessitating the full use of their hand for their position, require a more extended rehabilitation period and lengthy time away from the field. Therefore, this paper proposes the motor imagery-based finger rehabilitation system (MIFRS) in sports injury rehabilitation.","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"1 1","pages":"1-24"},"PeriodicalIF":0.0,"publicationDate":"2023-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87626852","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Artificial Intelligence-Based English Vocabulary Test Research on Cognitive Web Services Platforms: User Retrieval Behavior of English Mobile Learning","authors":"Lijuan Liao","doi":"10.4018/ijec.316656","DOIUrl":"https://doi.org/10.4018/ijec.316656","url":null,"abstract":"Automated interaction between agents necessitates the ability of these agents to discover and select from a set of similar (or identical) services. As a result, trust is used to assess the quality of different cognitive web services. Therefore, this paper proposes artificial intelligence-based English vocabulary test research (AI-EVTR) to overcome the student's requirement. Further, pre-test behavior analysis has been introduced to enhance the apps. Before and after the test period, both groups took a pre-test behavior analysis and post-test log analysis “Vocabulary Test in English.” The experimental group used an app-assisted English vocabulary questionnaire to share their points; they were not extremely motivated in the app-assisted approach using machine learning. Statistical approaches comprising independent samples were used to analyze the acquired data. The experimental group greatly improved between the pre-test and post-test in spelling. Language learning on the website can be an option.","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"1 1","pages":"1-19"},"PeriodicalIF":0.0,"publicationDate":"2023-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74728682","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}