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Artificial Intelligence-Enabled Interactive System Modeling for Teaching and Learning Based on Cognitive Web Services 基于认知Web服务的基于人工智能的交互式教学系统建模
Int. J. e Collab. Pub Date : 2023-01-20 DOI: 10.4018/ijec.316655
Humin Yang, A. Shankar, S. Velliangiri
{"title":"Artificial Intelligence-Enabled Interactive System Modeling for Teaching and Learning Based on Cognitive Web Services","authors":"Humin Yang, A. Shankar, S. Velliangiri","doi":"10.4018/ijec.316655","DOIUrl":"https://doi.org/10.4018/ijec.316655","url":null,"abstract":"The future of modern education and web-based learning is inherently associated with the advancement in modern technologies and computing capacities of new smart machines, such as artificial intelligence (AI). AI is a high-performance computing environment powered by special processors that use cognitive computing for machine learning and data analytics. There are major challenges in online or web-based learning, such as flexibility, student support, classification of teaching, and learning activities. Hence, this paper proposes smart web-based interactive system modeling (SWISM)based on artificial intelligence for teaching and learning. The paper aimed to categorize learners according to their learning skills and discover how to enable learners with machine learning techniques to have appropriate, quality learning objects. Furthermore, local weight, linear regression, and linear regression methods have been introduced to predict the student learning performance in a cloud platform.","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"60 1","pages":"1-18"},"PeriodicalIF":0.0,"publicationDate":"2023-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78040357","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}
引用次数: 1
Mutual Clustered Redundancy and Composite Learning for Intrusion Detection Systems 入侵检测系统的互聚类冗余和复合学习
Int. J. e Collab. Pub Date : 2023-01-20 DOI: 10.4018/ijec.316772
T. Veeranna, R. K. Kumar
{"title":"Mutual Clustered Redundancy and Composite Learning for Intrusion Detection Systems","authors":"T. Veeranna, R. K. Kumar","doi":"10.4018/ijec.316772","DOIUrl":"https://doi.org/10.4018/ijec.316772","url":null,"abstract":"In the area of cyber space security, intrusion detection is a challenging task which aims at the provision of security from various malicious attacks. Hence, this paper proposes a two-stage hybrid intrusion detection system (IDS) mechanism to identify between normal and attack activities. The proposed mechanism is an integrated form of two simple and effective machine learning algorithms; they are support vector machine (SVM) and composite extreme learning machine (CELM). The first stage aims to distinguish the normal activities from abnormal activities and employed SVM. Next, the second stage employs CELM for the detection of different types of attacks . Further, aiming over training data, a clustering followed by duplicate connections removal and duplicate features removal is accomplished through fuzzy C-means clustering, correlation, and mutual information respectively. The proposed method applied eventually on the standard benchmark dataset NSL-KDD and the real modern UNSW-NB15 dataset. The performance analysis validates through accuracy, false alarm rate and computational time.","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"887 1","pages":"1-25"},"PeriodicalIF":0.0,"publicationDate":"2023-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77881726","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}
引用次数: 0
Diamond Search Optimization-Based Technique for Motion Estimation in Video Compression 基于菱形搜索优化的视频压缩运动估计技术
Int. J. e Collab. Pub Date : 2023-01-20 DOI: 10.4018/ijec.316773
Ravi Prasad Ravuri
{"title":"Diamond Search Optimization-Based Technique for Motion Estimation in Video Compression","authors":"Ravi Prasad Ravuri","doi":"10.4018/ijec.316773","DOIUrl":"https://doi.org/10.4018/ijec.316773","url":null,"abstract":"In video compression procedure, movement estimation is one of the key segments due to its high computation unpredictability in finding the movement vectors between the frames. The purpose of movement estimation is to diminish the storage space, data transfer capacity, and transmission cost for transmission of video in numerous mixed media administration applications by decreasing the redundancies while preserving the better quality of the video. Each algorithm has its own benefits and culpabilities. Among these, block-based movement estimation calculations are most powerful and adaptable. In this paper, diamond search-hybrid teaching and learning-based optimization (DS-HTLBO) has been proposed for motion estimation. The performance of the proposed DS-HTLBO method is analyzed by considering different performance evaluation parameters such as peak signal-to-noise ratio, mean square error, and compression ratio. The comparative outcomes reveal that the proposed DS-HTLBO method outperformed in terms of PSNR of 41% and CR of 5.47% with other DS, 4SS, and NTSS methods.","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"25 1","pages":"1-14"},"PeriodicalIF":0.0,"publicationDate":"2023-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85438646","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}
引用次数: 0
Supply Chain Finance Assistance for Small and Medium-Sized Enterprises Using Cognitive Web Services 利用认知网络服务为中小企业提供供应链金融援助
Int. J. e Collab. Pub Date : 2023-01-20 DOI: 10.4018/ijec.316662
Yingnan Ye, Jinghui Xiu
{"title":"Supply Chain Finance Assistance for Small and Medium-Sized Enterprises Using Cognitive Web Services","authors":"Yingnan Ye, Jinghui Xiu","doi":"10.4018/ijec.316662","DOIUrl":"https://doi.org/10.4018/ijec.316662","url":null,"abstract":"When it comes to offering loans to small and medium-sized enterprises, the supply chain finance industries will produce cash flow and commodities (SMEs). The supply management is implemented with cognitive web service. Under the terms of information exchange, a credit risk assessment will be performed for supply chain finance with data analytics. In support vector machine technology, parameters are chosen using a genetic algorithm. To analyze the credit risk of support vector machines, a BP neural network was used to link the evolutionary algorithm with supply chain finance (GA-SVM-BPNN-SCF). Using a genetic algorithm and a support vector machine has overall classification accuracy equal to the BP neural network method. In addition, the role of the supply chain (SC) in mediating the link between SCF adoption, and the importance of supply chain effectiveness (SCE) is discussed. This research helps marketers and professionals better understand how to use SCF in their enterprises to reduce risk and improve SCF by providing data and connecting with financial institutions.","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"1 1","pages":"1-22"},"PeriodicalIF":0.0,"publicationDate":"2023-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82804306","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}
引用次数: 0
Design of Automatic Education Classification Management System in Cognitive Web Services Platforms Using Machine Learning Techniques 基于机器学习技术的认知Web服务平台教育分类自动管理系统设计
Int. J. e Collab. Pub Date : 2023-01-20 DOI: 10.4018/ijec.316659
Tian Xie
{"title":"Design of Automatic Education Classification Management System in Cognitive Web Services Platforms Using Machine Learning Techniques","authors":"Tian Xie","doi":"10.4018/ijec.316659","DOIUrl":"https://doi.org/10.4018/ijec.316659","url":null,"abstract":"Adequate learning resources help students develop their instructional methods, beliefs, attitudes, and general abilities to go beyond a superficial understanding of a subject. It is found that lack of knowledge, inadequate search skills, and lacks of time were all obstacles that hindered library patrons from easily accessing educational resources. It is discovered that patrons of libraries were unable to easily access educational resources because of a lack of knowledge, poor search skills, and a lack of time. Design of automatic education classification management system (D-AECMS) is a proposal in this paper to create and implement cloud-based educational resources and management strategies that support economic development in the classroom. Predictive model-based quality inspection in industrial manufacturing using machine learning techniques and edge cloud computing technology is now possible.","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"4 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":"85602833","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}
引用次数: 0
Research on the Influential Factors of Bilingual Teaching Based on Colin Baker Model Case Study of Macroeconomics 基于Colin Baker模型的双语教学影响因素研究——以宏观经济学为例
Int. J. e Collab. Pub Date : 2023-01-20 DOI: 10.4018/ijec.316823
Wenci Fan, Pan Xian
{"title":"Research on the Influential Factors of Bilingual Teaching Based on Colin Baker Model Case Study of Macroeconomics","authors":"Wenci Fan, Pan Xian","doi":"10.4018/ijec.316823","DOIUrl":"https://doi.org/10.4018/ijec.316823","url":null,"abstract":"Bilingual teaching is the manifestation of the internationalization of high education and the key index of undergraduate teaching evaluation. Based on the modified Colin Baker model and the questionnaire of two universities in Zhejiang, this paper discusses the influential factors of bilingual teaching effectiveness in economics from the theoretical and empirical aspects and puts forward corresponding teaching suggestions. The main results are the foreign language level of teachers is not the main factor restricting the effectiveness of bilingual teaching at present and the professional ability and attitude of teachers are the most important factors for the improvement of teaching effectiveness. Objectively, students' interest in English has no obvious effect on bilingual teaching. Interest on English is not the key to being able to learn bilingual courses better.","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"43 1","pages":"1-15"},"PeriodicalIF":0.0,"publicationDate":"2023-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91533698","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}
引用次数: 1
Application of Mobile Learning in Higher English Education Systems Using Cognitive Web Services 基于认知网络服务的移动学习在高等英语教育系统中的应用
Int. J. e Collab. Pub Date : 2023-01-20 DOI: 10.4018/ijec.316654
Jing-Wen Chen
{"title":"Application of Mobile Learning in Higher English Education Systems Using Cognitive Web Services","authors":"Jing-Wen Chen","doi":"10.4018/ijec.316654","DOIUrl":"https://doi.org/10.4018/ijec.316654","url":null,"abstract":"Students choose from various learning pathways and resources while using mobile learning, which creates a universal learning environment. Machine learning techniques developed to handle AI-related challenges are known as cognitive web services. Adaptive education methods and good knowledge path design can help achieve the goal of studying whenever. In addition, mobile learning devices' display capabilities are becoming a critical determinant of students' attention and time to proficiency. Getting the necessary mobile learning components is now a hot issue. Current mobile learning environments do not include cognitive learning services to be self-adaptive to improvise the standard of the intended service. Student Performance ratio 92.11%, Students' efficiency ratio 89.9, Professional teaching ratio 95.23%, Error rate 43.86%, English learning ratio 93.32%, Interactive ratio 92.5% and Learning flexibility ratio 94.86% are obtained as the experimental results for the suggested method, which proves that the system is more efficient.","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"4 1","pages":"1-23"},"PeriodicalIF":0.0,"publicationDate":"2023-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73346687","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}
引用次数: 0
Teaching Quality of Ideological and Political Education in Colleges Based on Deep Learning 基于深度学习的高校思想政治教育教学质量研究
Int. J. e Collab. Pub Date : 2023-01-20 DOI: 10.4018/ijec.316829
Hao Di, Hui Zhang, P. Li
{"title":"Teaching Quality of Ideological and Political Education in Colleges Based on Deep Learning","authors":"Hao Di, Hui Zhang, P. Li","doi":"10.4018/ijec.316829","DOIUrl":"https://doi.org/10.4018/ijec.316829","url":null,"abstract":"As the current level of higher education in China improves, so too do higher education courses. The key to improving the quality of higher education in China is to improve teaching quality (TQ), while the key to improving the quality of higher education and teaching in China is the key to higher education. It is therefore necessary to formulate and finalize a system of quality assessment of higher education in order to manage higher education. The article aims to analyze the quality of ideological and political (IAP) education in colleges based on deep learning. It analyzes TQ in IOP courses in colleges, the role of quality assessment education, problems in the quality assessment system of teaching, and problems in the design of IAP quality education assessment. Based on the principles to be followed by the referral system, an IAP quality TQ assessment system has been developed and the MATLAB simulation software is based on the teaching network quality evaluation model and test model based on the TQ.","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"35 1","pages":"1-15"},"PeriodicalIF":0.0,"publicationDate":"2023-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90595677","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}
引用次数: 1
Deep Learning Speech Synthesis Model for Word/Character-Level Recognition in the Tamil Language 泰米尔语词/字符级识别的深度学习语音合成模型
Int. J. e Collab. Pub Date : 2023-01-20 DOI: 10.4018/ijec.316824
Sukumar Rajendran, Kiruba Thangam Raja, G. Nagarajan, A. StephenDass, S. Mathivanan, P. Jayagopal
{"title":"Deep Learning Speech Synthesis Model for Word/Character-Level Recognition in the Tamil Language","authors":"Sukumar Rajendran, Kiruba Thangam Raja, G. Nagarajan, A. StephenDass, S. Mathivanan, P. Jayagopal","doi":"10.4018/ijec.316824","DOIUrl":"https://doi.org/10.4018/ijec.316824","url":null,"abstract":"As electronics and the increasing popularity of social media are widely used, a large amount of text data is created at unprecedented rates. All data created cannot be read by humans, and what they discuss in their sphere of interest may be found. Modeling of themes is a way to identify subjects in a vast number of texts. There has been a lot of study on subject-modeling in English. At the same time, millions of people worldwide speak Tamil; there is no great development in resource-scarce languages such as Tamil being spoken by millions of people worldwide. The consequences of specific deep learning models are usually difficult to interpret for the typical user. They are utilizing various visualization techniques to represent the outcomes of deep learning in a meaningful way. Then, they use metrics like similarity, correlation, perplexity, and coherence to evaluate the deep learning models.","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"197 1","pages":"1-14"},"PeriodicalIF":0.0,"publicationDate":"2023-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86237518","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}
引用次数: 2
Digital Education and Teaching of Printmaking Based on Big Data and Intelligence 基于大数据与智能的版画数字化教育与教学
Int. J. e Collab. Pub Date : 2023-01-20 DOI: 10.4018/ijec.316825
Ge Yi, Yuanyuan Tan
{"title":"Digital Education and Teaching of Printmaking Based on Big Data and Intelligence","authors":"Ge Yi, Yuanyuan Tan","doi":"10.4018/ijec.316825","DOIUrl":"https://doi.org/10.4018/ijec.316825","url":null,"abstract":"This article investigates computer-aided design tools in teaching ambient art style and proposes new creative teaching approaches. Parents and learners of the academic educational status are employed as research samples. The literary technique, survey methodological approach, research paradigm, and comparison survey questionnaire are all utilized to support the development of ambient printmaking design skills in the research. A digital teaching printmaking model (DTPMM) is proposed in this article. During the research, the theories of computer-aided layout and ecologic art configuration were described; the descriptor and criteria of digital technologies to encourage the advancement of ecologic majors' skills were clarified; and the syllabus of ecologic arts students, instructors' effective teaching, participants' educational situation, the benefits of computer-aided design tools in printmaking color design, and the benefits of three-dimensional modeling were discussed.","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"7 1","pages":"1-18"},"PeriodicalIF":0.0,"publicationDate":"2023-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79734610","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}
引用次数: 0
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