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A Reinforcement Learning-Based Smart Educational Environment for Higher Education 基于强化学习的高等教育智能教育环境
Int. J. e Collab. Pub Date : 2022-12-23 DOI: 10.4018/ijec.315019
Siyong Fu
{"title":"A Reinforcement Learning-Based Smart Educational Environment for Higher Education","authors":"Siyong Fu","doi":"10.4018/ijec.315019","DOIUrl":"https://doi.org/10.4018/ijec.315019","url":null,"abstract":"Most higher education institutions use unique technologies to improve learning activities and provide comfortable learning. Higher education in a smart education environment (SEE) uses various tools and procedures to develop a smart learning environment to improve learning efficiency. Still, these learning processes fail to analyze student knowledge and cognitive features. The inappropriate identification of student learning skills affects teaching and learning quality. This problem is overcome using digital smart classrooms that support the student learning features because social factors and student personal behavior affects learning efficiency. So, the SEE should adapt student variability factors and learning strategies. In this work, reinforcement learning (RL) is utilized to create smart and comfortable learning in a smart classroom. The RL method analyses student behavior change, learning materials, and technologies that improve the overall learning efficiency. The created smart learning classroom achieves benefits of e-learning like interactions, flexibility, and experience.","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"7 1","pages":"1-17"},"PeriodicalIF":0.0,"publicationDate":"2022-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83435204","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: 3
Automatic Face Segmentation Using Adaptively Regularized Kernel-Based Fuzzy Clustering Means With Level Set Algorithm 基于水平集自适应正则化核模糊聚类方法的人脸自动分割
Int. J. e Collab. Pub Date : 2022-05-01 DOI: 10.4018/ijec.307132
Rangayya, Virupakshappa, Nagabhushan Patil
{"title":"Automatic Face Segmentation Using Adaptively Regularized Kernel-Based Fuzzy Clustering Means With Level Set Algorithm","authors":"Rangayya, Virupakshappa, Nagabhushan Patil","doi":"10.4018/ijec.307132","DOIUrl":"https://doi.org/10.4018/ijec.307132","url":null,"abstract":"In this research, a new level set based segmentation algorithm was proposed for human face segmentation. At first, the human facial images were collected from FAce Semantic SEGmentation (FASSEG) dataset. After collecting the images, pre-processing was accomplished by utilizing Contrast limited adaptive histogram equalization (CLAHE). The undertaken methodology effectively improves the quality of facial images by removing the unwanted noise. Then, segmentation was done by using Adaptively Regularized Kernel Based Fuzzy Clustering Means (ARKFCM) clustering with level set, which was a high level machine learning algorithm for localizing the face parts in complex template. Simulation outcome shows that the proposed segmentation algorithm effectively segments the facial parts in light of precision, recall, jaccard coefficient, dice coefficient, accuracy, and miss rate. The proposed segmentation algorithm enhanced the segmentation accuracy in face segmentation upto 4.5% compared to the existing methodology (pixel wise segmentation).","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"17 1","pages":"1-15"},"PeriodicalIF":0.0,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72688722","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 Blockchain Technology in Fresh Food Supply Chain Under COVID-19 Environment in China 新冠肺炎环境下区块链技术在中国生鲜食品供应链中的应用
Int. J. e Collab. Pub Date : 2022-05-01 DOI: 10.4018/ijec.307125
Tianzhong Feng, Heng Li, Zhisheng Sun
{"title":"Application of Blockchain Technology in Fresh Food Supply Chain Under COVID-19 Environment in China","authors":"Tianzhong Feng, Heng Li, Zhisheng Sun","doi":"10.4018/ijec.307125","DOIUrl":"https://doi.org/10.4018/ijec.307125","url":null,"abstract":"Food safety is a vital issue of public and social concern. Since the outbreak of the COVID-19, frozen fresh food has become the hardest hit area for the spread of the COVID-19. In response to the opaque information, lack of trust, and difficulty in traceability in the fresh food supply chain, the article proposes blockchain technology to address the problem. This paper defines a blockchain technology use case and a quick reference guide to design a blockchain network for the food industry. It improves transparency throughout the supply chain and helps reconcile the documentation and required data with legislation authorities to import cold chain products to certify the quality of the final product. The fresh food supply chain framework can ensure integrity, authenticity, and supply chain information. This design is of great significance to ensure the traceability of the fresh food supply chain.","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"19 1","pages":"1-11"},"PeriodicalIF":0.0,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80549816","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
Teacher Intelligence Training Based on Big Data and Artificial Intelligence 基于大数据和人工智能的教师智能培训
Int. J. e Collab. Pub Date : 2022-05-01 DOI: 10.4018/ijec.307137
Songjian Dan
{"title":"Teacher Intelligence Training Based on Big Data and Artificial Intelligence","authors":"Songjian Dan","doi":"10.4018/ijec.307137","DOIUrl":"https://doi.org/10.4018/ijec.307137","url":null,"abstract":"The purpose of this paper is to improve the theoretical system of teacher's intelligent training, build a teacher's intelligent training platform, build an intelligent training course resource and establish a teacher's intelligent training mechanism. This article mainly uses the methods of investigation and interviews to analyze the status quo of teachers' professional development, existing problems, and research needs. The results of the questionnaire survey showed that 46.7% of participants were in favor of smart training, but there were also 70 people who believed that the biggest difficulty in smart training was the lack of a relatively fixed and effective platform. Therefore, it is necessary to design an intelligent training platform to provide a good platform for teachers to learn.","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"5 1","pages":"1-11"},"PeriodicalIF":0.0,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78694036","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
Enhancement of Student Attentiveness Using Deep Learning Techniques 利用深度学习技术提高学生的注意力
Int. J. e Collab. Pub Date : 2022-05-01 DOI: 10.4018/ijec.307129
S. Aruna, Swarna Kuchibhotla
{"title":"Enhancement of Student Attentiveness Using Deep Learning Techniques","authors":"S. Aruna, Swarna Kuchibhotla","doi":"10.4018/ijec.307129","DOIUrl":"https://doi.org/10.4018/ijec.307129","url":null,"abstract":"The cognitive state of mind helps us to perceive various kinds of information which can aid us in inferring various insights. Emotion recognition has been a prominent field of study which helps us to get insights into the cognitive state of mind. There have been various prior works done in the field of emotion recognition which has their applications in the fields of education, marketing, analysis, etc. Having access to such information allows us to draw insights. Though there have been various models made, there hasn't been much focus on improving the features of an image that define an emotion. The paper which we propose is to use image processing techniques on the images which would enhance the quality of the images and make them run under a convolutional neural network (CNN) along with eye tracking system to track the gaze of a student in order to identify the attentivity of a student. The dataset being used for this experiment is the FEC dataset which contains a set of 35000 images of 48 x 48 size. Experimentally determined results have resulted in achieving an accuracy of 94%.","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"25 1","pages":"1-14"},"PeriodicalIF":0.0,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80811483","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
Predictive Assessment of Fetus Features Using Scanned Image Segmentation Techniques and Deep Learning Strategy 基于扫描图像分割技术和深度学习策略的胎儿特征预测评估
Int. J. e Collab. Pub Date : 2022-05-01 DOI: 10.4018/ijec.307130
S. Umamaheswaran, Rajan John, S. Nagarajan, M. KarthickRaghunathK., K. Arvind
{"title":"Predictive Assessment of Fetus Features Using Scanned Image Segmentation Techniques and Deep Learning Strategy","authors":"S. Umamaheswaran, Rajan John, S. Nagarajan, M. KarthickRaghunathK., K. Arvind","doi":"10.4018/ijec.307130","DOIUrl":"https://doi.org/10.4018/ijec.307130","url":null,"abstract":"Fetus weight at various stages of pregnancy is a critical component in determining the health of the baby. Abnormalities arising early in the pregnancy may be prevented by preventive measures. A variety of techniques suggested to predict foetus weight. Computer vision is a capability that can estimate the weight of a baby based on ultra-sonograms taken at various stages of pregnancy. Using the scanned data, one may train an advanced convolutional neural network that helps in accurately forecasting the fetus's size, weight, and overall health. The research utilizes computer vision techniques with image clustering methods for preprocessing, to predict the foetus's health, training datasets defective foetus datasets and healthy foetus datasets. Developing an integrated computer vision and a deep neural network is the hour which decrease the cost of operations and manual processes This study estimate the fetus's weight with optimal accuracy range at varying gestation age.","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"105 1","pages":"1-13"},"PeriodicalIF":0.0,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89941719","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
Understanding Consumer Intention Towards Blockchain-Based Mobile Payment Adoption Services in Pakistan 了解巴基斯坦消费者对基于区块链的移动支付采用服务的意向
Int. J. e Collab. Pub Date : 2022-05-01 DOI: 10.4018/ijec.307136
Zulfiqar Ali, Hasin Bano
{"title":"Understanding Consumer Intention Towards Blockchain-Based Mobile Payment Adoption Services in Pakistan","authors":"Zulfiqar Ali, Hasin Bano","doi":"10.4018/ijec.307136","DOIUrl":"https://doi.org/10.4018/ijec.307136","url":null,"abstract":"The paper reflects the application of a positivist study and quantitative methods for evaluation of variable relationships. The researcher developed a survey-based methodology and disseminated the questionnaire to consumers of Pakistan through online. Structural equation modeling, confirmatory factor analysis and all supporting statistical tests have been applied on the data in order to evaluate the accuracy;the findings suggest that the usability and factors like the security of online services influence the consumers. Moreover, the performance and effectiveness of these measures influence the decision to use and recommend the services to others as well. The study contributed to the literature by validating and supporting the applicability, usage and development of mobile payment services and produces important implications for the managerial and policymakers of these industries.","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"78 1","pages":"1-21"},"PeriodicalIF":0.0,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89525233","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
An Analysis on E-Evaluation of Food Quality Traceability System 食品质量溯源系统e评价分析
Int. J. e Collab. Pub Date : 2022-05-01 DOI: 10.4018/ijec.307127
P. Liu, Qiang Li, Liu Wen, Shanshan Yuan, Yiying Nian, Yue Dai, Min Duan
{"title":"An Analysis on E-Evaluation of Food Quality Traceability System","authors":"P. Liu, Qiang Li, Liu Wen, Shanshan Yuan, Yiying Nian, Yue Dai, Min Duan","doi":"10.4018/ijec.307127","DOIUrl":"https://doi.org/10.4018/ijec.307127","url":null,"abstract":"In recent years, China has obtained positive achievements in the construction of traceability systems for key products, such as edible agricultural products and food. However, problems such as complex situations, one-sided information, repeated system construction, and lack of qualification of information testing agencies still exist in food quality traceability. Based on the development features of the industry, this paper puts forward countermeasures and suggestions for the construction of a food quality traceability system.","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"173 1","pages":"1-17"},"PeriodicalIF":0.0,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74286730","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
Non-Linear Intelligence Flexibility Management of Talents in Private Higher Vocational Yunnan College, China 云南民办高职院校人才非线性智能柔性管理
Int. J. e Collab. Pub Date : 2022-05-01 DOI: 10.4018/ijec.307134
Xue Gang, Z. Li
{"title":"Non-Linear Intelligence Flexibility Management of Talents in Private Higher Vocational Yunnan College, China","authors":"Xue Gang, Z. Li","doi":"10.4018/ijec.307134","DOIUrl":"https://doi.org/10.4018/ijec.307134","url":null,"abstract":"Nonlinear intelligence focuses on the multi-facet structure of the human intelligence, which includes but not limited to skills, experiences, qualifications, and practices. In this study, nonlinear intelligence was studied in the vocational YunNan, college of business management and vocational institutions in China. Data was collected through structured questionnaire adopted from previous studies and was incorporated in the current studies with the consultations of experts and academicians. SPSS was used to assess the means scores of the constructs under investigations. The results indicate that linear style of intelligence management is found in the teaching-learning processes in the vocational institutions. The results are also correlated with the contextual practices and experiences, that vocational graduates lack risk-taking behaviors. The study further recommends that the universities and the vocational colleges should change their teaching-learning styles to covert the learning and working mechanism to sort the real-world problems in a more real way.","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"50 1","pages":"1-11"},"PeriodicalIF":0.0,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74910704","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
Purchase Intention of Products Placed in Hollywood Movies Among Chinese Youth in Beijing 北京地区中国青少年对好莱坞电影中产品的购买意愿
Int. J. e Collab. Pub Date : 2022-05-01 DOI: 10.4018/ijec.307126
Qing-hua Zhu, Z. Abdullah, Akmar Jkom, J. Tham
{"title":"Purchase Intention of Products Placed in Hollywood Movies Among Chinese Youth in Beijing","authors":"Qing-hua Zhu, Z. Abdullah, Akmar Jkom, J. Tham","doi":"10.4018/ijec.307126","DOIUrl":"https://doi.org/10.4018/ijec.307126","url":null,"abstract":"Product placement has been graded as one of the most influencing and attractive marketing strategy in gaining an above-average returns and getting better business shares. In this research project , product placement as an marketing strategy was assess among the China’s youth in the Hollywood moves that how much China youth have been effected by the product placement strategy. To meet the objectives of the study, cross-cultural survey was conducted. The survey was based on well-structured adopted questionnaire. The target population was the youth of china and about 369 university students were participated in the research. Data was analyzed using SPSS. The study revealed that students had awareness of the product placement in the Hollywood movies. The result predicts that product placement is an effective marketing strategy, which are attracting china’s youth and influencing their purchase intensions. The results also proclaim that youth are free in taking decisions.","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"57 1","pages":"1-13"},"PeriodicalIF":0.0,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88250060","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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