Camino López García, Ma Cruz Sánchez, Ana García Valcárcel-Muñoz Repiso
Different educational programs aim to reduce or control Internet addiction. These are based on a traditional methodology that can be recognized as an exposition or master class (participatory or not). In this type of educational programs the student acquires a passive role since they are focused on informing the students of the dangers associated with the development of Internet addiction, but not on the treatment or changes in behavior. If we review these educational programs it can see how they have little effect on students. For this reason, a new educational program approach has been created that fights or limits Internet addiction through a methodological proposal that also focuses on increasing digital competence while limiting or controlling the evolution of Internet addiction. In this article, the design is presented.
{"title":"Internet Addiction","authors":"Camino López García, Ma Cruz Sánchez, Ana García Valcárcel-Muñoz Repiso","doi":"10.2307/j.ctt1x76gnp.11","DOIUrl":"https://doi.org/10.2307/j.ctt1x76gnp.11","url":null,"abstract":"Different educational programs aim to reduce or control Internet addiction. These are based on a traditional methodology that can be recognized as an exposition or master class (participatory or not). In this type of educational programs the student acquires a passive role since they are focused on informing the students of the dangers associated with the development of Internet addiction, but not on the treatment or changes in behavior. If we review these educational programs it can see how they have little effect on students. For this reason, a new educational program approach has been created that fights or limits Internet addiction through a methodological proposal that also focuses on increasing digital competence while limiting or controlling the evolution of Internet addiction. In this article, the design is presented.","PeriodicalId":43429,"journal":{"name":"Journal of Information Technology Research","volume":" ","pages":""},"PeriodicalIF":0.9,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47226500","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}
The extant literature has significantly contributed towards the body of knowledge on wearable technology by exploring its potential for enhancing the well-being of consumers. Another strand of literature focuses on the challenges being faced by women in the wearables industry. This study has critically investigated the prevailing status of women in the gendered imbalance technology industry, particularly the wearables industry. To elucidate this, the study has followed the qualitative approach by conducting an inductive-thematic analysis on the interviews of women achievers in the wearables industry. The findings revealed that the future of wearable technology seems bright in the following sectors: AR/VR and artificial intelligence (AI) industries, medical, sports and fitness sectors, clothing and jewelry industry, military, and other industrial applications. However, it would be more promising if women employees and entrepreneurs are encouraged at all levels, and their roles are substantiated in the organizations by reducing challenges and appreciating them for their achievements.
{"title":"Wearable Technology and Women Empowerment in the Technology Industry: An Inductive-Thematic Analysis","authors":"Manali Gupta, Neena Sinha","doi":"10.4018/jitr.299387","DOIUrl":"https://doi.org/10.4018/jitr.299387","url":null,"abstract":"The extant literature has significantly contributed towards the body of knowledge on wearable technology by exploring its potential for enhancing the well-being of consumers. Another strand of literature focuses on the challenges being faced by women in the wearables industry. This study has critically investigated the prevailing status of women in the gendered imbalance technology industry, particularly the wearables industry. To elucidate this, the study has followed the qualitative approach by conducting an inductive-thematic analysis on the interviews of women achievers in the wearables industry. The findings revealed that the future of wearable technology seems bright in the following sectors: AR/VR and artificial intelligence (AI) industries, medical, sports and fitness sectors, clothing and jewelry industry, military, and other industrial applications. However, it would be more promising if women employees and entrepreneurs are encouraged at all levels, and their roles are substantiated in the organizations by reducing challenges and appreciating them for their achievements.","PeriodicalId":43429,"journal":{"name":"Journal of Information Technology Research","volume":"15 1","pages":"1-17"},"PeriodicalIF":0.9,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70494762","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}
Often, nonlinearity exists in the financial markets while Artificial Neural Network (ANN) could be used to expect equity market returns for the next years. ANN has been improved its ability to forecast the daily stock exchange rate and to investigate several feeds using the back propagation algorithm. The proposed research utilized five neural network models, Elman network, Multilayer Perceptron (MLP) network, Elman network with Self-Optimizing Map (SOM), MLP with SOM filter and simple linear regression, for estimating new values. Results were examined to investigate the predicting ability and to provide an effective feeds for future values. The result of the proposed simulation showed that SOM could greatly improve the convergence of the neuron networks; whereas Elman network did a better performance to capture the temporal pattern of the symbolic streams generated by SOM.A benchmark of linear regression model was also employed to show the ability of neural network models to generate higher accuracy in forecasting financial market index.
{"title":"Stock Market Index Prediction Using Artificial Neural Network","authors":"F. Al-akashi","doi":"10.4018/jitr.299918","DOIUrl":"https://doi.org/10.4018/jitr.299918","url":null,"abstract":"Often, nonlinearity exists in the financial markets while Artificial Neural Network (ANN) could be used to expect equity market returns for the next years. ANN has been improved its ability to forecast the daily stock exchange rate and to investigate several feeds using the back propagation algorithm. The proposed research utilized five neural network models, Elman network, Multilayer Perceptron (MLP) network, Elman network with Self-Optimizing Map (SOM), MLP with SOM filter and simple linear regression, for estimating new values. Results were examined to investigate the predicting ability and to provide an effective feeds for future values. The result of the proposed simulation showed that SOM could greatly improve the convergence of the neuron networks; whereas Elman network did a better performance to capture the temporal pattern of the symbolic streams generated by SOM.A benchmark of linear regression model was also employed to show the ability of neural network models to generate higher accuracy in forecasting financial market index.","PeriodicalId":43429,"journal":{"name":"Journal of Information Technology Research","volume":"15 1","pages":"1-16"},"PeriodicalIF":0.9,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70494813","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}
The study provides a comprehensive assessment of the possibility of switching the underlying technology of crowdfunding contracts for blockchain using Roger's five perceived attributes of innovation. Blockchain is a distributed ledger recording transaction in a secure peer-to-peer network thus driving stakeholders to consider it can be the solution to the problems of crowdfunding contracts executed via other internet-mediated technologies. Using direct content analysis, we find that although fundraisers (entrepreneurs, businesses) and investors would have potential complexities using the technology because of limited knowledge about the technology, platforms face the greatest challenge concerning (1) uncertainty over the extent of intermediation and (2) regulatory compliance. While blockchain offers better relative advantage and compatibility for all contracting parties, trialability and observability issues currently cast some level of doubts on the minds of platforms and investors.
{"title":"Swapping the Underlying Technology of Crowdfunding Contracts for Blockchain-The Perspective of Roger’s Five Perceived Attributes of Innovation.","authors":"","doi":"10.4018/jitr.298621","DOIUrl":"https://doi.org/10.4018/jitr.298621","url":null,"abstract":"The study provides a comprehensive assessment of the possibility of switching the underlying technology of crowdfunding contracts for blockchain using Roger's five perceived attributes of innovation. Blockchain is a distributed ledger recording transaction in a secure peer-to-peer network thus driving stakeholders to consider it can be the solution to the problems of crowdfunding contracts executed via other internet-mediated technologies. Using direct content analysis, we find that although fundraisers (entrepreneurs, businesses) and investors would have potential complexities using the technology because of limited knowledge about the technology, platforms face the greatest challenge concerning (1) uncertainty over the extent of intermediation and (2) regulatory compliance. While blockchain offers better relative advantage and compatibility for all contracting parties, trialability and observability issues currently cast some level of doubts on the minds of platforms and investors.","PeriodicalId":43429,"journal":{"name":"Journal of Information Technology Research","volume":" ","pages":""},"PeriodicalIF":0.9,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43793996","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}
Based on the theory of pre-stress machining, In this paper the pre-stress scratching test was carried out on SiC ceramics, and the single-point diamond indenter moved with uniform speed under constant normal load. Combining with acoustic emission testing, the acoustic emission signal, the depth of scratch and the damage of surface / subsurface were analyzed under different pre-stress. The results showed that the existence of pre-stress can shorten the depth of median cracks and reduce the surface / sub-surface damage when adopting pre-stress machining method to study the machining of ceramic materials, moreover, with the increasing of pre-stress to a certain extent, the depth of median cracks were decreased and the propagation length of lateral cracks were shortened.
{"title":"The pre-stress scratching test investigation on silicon carbide ceramics","authors":"","doi":"10.4018/jitr.298338","DOIUrl":"https://doi.org/10.4018/jitr.298338","url":null,"abstract":"Based on the theory of pre-stress machining, In this paper the pre-stress scratching test was carried out on SiC ceramics, and the single-point diamond indenter moved with uniform speed under constant normal load. Combining with acoustic emission testing, the acoustic emission signal, the depth of scratch and the damage of surface / subsurface were analyzed under different pre-stress. The results showed that the existence of pre-stress can shorten the depth of median cracks and reduce the surface / sub-surface damage when adopting pre-stress machining method to study the machining of ceramic materials, moreover, with the increasing of pre-stress to a certain extent, the depth of median cracks were decreased and the propagation length of lateral cracks were shortened.","PeriodicalId":43429,"journal":{"name":"Journal of Information Technology Research","volume":" ","pages":""},"PeriodicalIF":0.9,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45959040","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}
In the scenario of large library, the current information service system can only provide regional information in the aspect of book location, but it can not support the navigation for users. In recent years, Augmented Reality (AR) technology has become more and more active in people’s vision, providing new ideas for the development of indoor navigation. This paper designs and implements an AR based intelligent library system, which not only has the basic functions of library information service, but also can provide AR navigation, so that users have a better navigation experience. The prototype system uses AR navigation into to provide integrated information services for users. In addition, considering that the position of books often changes in the library, this paper implements the method of book location based on neural network and Radio Frequency Identification (RFID) technology to track the position of books.
{"title":"Intelligent Library Management System Based on Augmented Reality and RFID Technology","authors":"","doi":"10.4018/jitr.298615","DOIUrl":"https://doi.org/10.4018/jitr.298615","url":null,"abstract":"In the scenario of large library, the current information service system can only provide regional information in the aspect of book location, but it can not support the navigation for users. In recent years, Augmented Reality (AR) technology has become more and more active in people’s vision, providing new ideas for the development of indoor navigation. This paper designs and implements an AR based intelligent library system, which not only has the basic functions of library information service, but also can provide AR navigation, so that users have a better navigation experience. The prototype system uses AR navigation into to provide integrated information services for users. In addition, considering that the position of books often changes in the library, this paper implements the method of book location based on neural network and Radio Frequency Identification (RFID) technology to track the position of books.","PeriodicalId":43429,"journal":{"name":"Journal of Information Technology Research","volume":" ","pages":""},"PeriodicalIF":0.9,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46455056","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":"Automatic Text Summarization by Providing Coverage, Non-Redundancy, and Novelty Using Sentence Graph","authors":"P. Krishnaveni, S. Balasundaram","doi":"10.4018/jitr.2022010108","DOIUrl":"https://doi.org/10.4018/jitr.2022010108","url":null,"abstract":"","PeriodicalId":43429,"journal":{"name":"Journal of Information Technology Research","volume":"15 1","pages":"1-18"},"PeriodicalIF":0.9,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70494717","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}
Semantic segmentation was traditionally performed using primitive methods however, in recent times a significant growth in the advancement of deep learning techniques for the same is observed. In this paper, an extensive study and review of the existing deep learning (DL) based techniques used for the purpose of semantic segmentation is carried out; along with a summary of the datasets and evaluation metrics used for the same. The paper begins with a general and broader focus on semantic segmentation as a problem and further narrows its focus on existing DL-based approaches for this task. In addition to this, a summary of the traditional methods used for semantic segmentation is also presented towards the beginning. Since the problem of scene understanding is being vastly explored in the computer vision community, especially with the help of semantic segmentation, we believe that this paper will benefit active researchers in reviewing and studying the existing state-of-the-art as well as advanced methods for the same.
{"title":"Semantic Segmentation- A systematic analysis from State-of-the-Art Techniques to Advance Deep Networks","authors":"","doi":"10.4018/jitr.299388","DOIUrl":"https://doi.org/10.4018/jitr.299388","url":null,"abstract":"Semantic segmentation was traditionally performed using primitive methods however, in recent times a significant growth in the advancement of deep learning techniques for the same is observed. In this paper, an extensive study and review of the existing deep learning (DL) based techniques used for the purpose of semantic segmentation is carried out; along with a summary of the datasets and evaluation metrics used for the same. The paper begins with a general and broader focus on semantic segmentation as a problem and further narrows its focus on existing DL-based approaches for this task. In addition to this, a summary of the traditional methods used for semantic segmentation is also presented towards the beginning. Since the problem of scene understanding is being vastly explored in the computer vision community, especially with the help of semantic segmentation, we believe that this paper will benefit active researchers in reviewing and studying the existing state-of-the-art as well as advanced methods for the same.","PeriodicalId":43429,"journal":{"name":"Journal of Information Technology Research","volume":"1 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43320764","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":"Segmentation of Pectoral Muscle in Mammograms Using Granular Computing","authors":"B. Divyashree, R. Amarnath, M. Naveen, G. Kumar","doi":"10.4018/jitr.2022010106","DOIUrl":"https://doi.org/10.4018/jitr.2022010106","url":null,"abstract":"","PeriodicalId":43429,"journal":{"name":"Journal of Information Technology Research","volume":"15 1","pages":"1-14"},"PeriodicalIF":0.9,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70494644","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":"Dense Disparity Computing Method Based on Mesh Aggregation and Snake Optimization for Stereo Vision","authors":"Liu Shuang, Yu Shuchun","doi":"10.4018/JITR.2020070106","DOIUrl":"https://doi.org/10.4018/JITR.2020070106","url":null,"abstract":"","PeriodicalId":43429,"journal":{"name":"Journal of Information Technology Research","volume":"13 1","pages":"95-112"},"PeriodicalIF":0.9,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.4018/JITR.2020070106","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70494490","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}
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