Pub Date : 2022-02-19DOI: 10.5121/csit.2022.120303
Harry Cao, Yu Sun, Ariel Jiang
Currently, thousands of free K-12 educational videos exist online with the aim of trying to help young students learn outside of the typical scholastic environment. However, most of these videos are in English, so without subtitles it may be difficult for non-native English-speaking students to fully understand them. These students may need to spend time searching for translations and understanding content, which can distract them from grasping the important concepts within the videos. The state-ofthe- art of speech-to-text and NLP techniques might help this group digest the content of instructional videos more effectively. This paper proposes an application that uses speech-to-text, machine translation, and NLP techniques to generate translated subtitles and visual learning aids for viewers of instructional videos. This video application supports more than 20 languages. We applied our application to some popular online educational videos and conducted a qualitative evaluation of its approach and effectiveness. The results demonstrated that the application could successfully translate the English of the videos into the viewers’ native language(s), detect keywords, and display relevant images to further facilitate contextual understanding.
{"title":"An Application to Provide Translated Subtitles and Pictures for Youth English Learners using Speech-to-Text and Nlp Techniques","authors":"Harry Cao, Yu Sun, Ariel Jiang","doi":"10.5121/csit.2022.120303","DOIUrl":"https://doi.org/10.5121/csit.2022.120303","url":null,"abstract":"Currently, thousands of free K-12 educational videos exist online with the aim of trying to help young students learn outside of the typical scholastic environment. However, most of these videos are in English, so without subtitles it may be difficult for non-native English-speaking students to fully understand them. These students may need to spend time searching for translations and understanding content, which can distract them from grasping the important concepts within the videos. The state-ofthe- art of speech-to-text and NLP techniques might help this group digest the content of instructional videos more effectively. This paper proposes an application that uses speech-to-text, machine translation, and NLP techniques to generate translated subtitles and visual learning aids for viewers of instructional videos. This video application supports more than 20 languages. We applied our application to some popular online educational videos and conducted a qualitative evaluation of its approach and effectiveness. The results demonstrated that the application could successfully translate the English of the videos into the viewers’ native language(s), detect keywords, and display relevant images to further facilitate contextual understanding.","PeriodicalId":153049,"journal":{"name":"Computer Networks & Communications Trends","volume":"164 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127427851","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}
Pub Date : 2022-02-19DOI: 10.5121/csit.2022.120302
Muhammad R. Ahmed, T. Myo, Badar Al Baroomi
Wireless Sensor Network (WSN) comprises of cheap and multifunctional resources constrain nodes that communicate at a fair distances through wireless connections. It is open media and underpinned by an application scenario for data collecting and processing. It can be used for many exclusive applications range from military implementation inside the battlefield, environmental tracking, fitness quarter as well as emergency response of surveillance. With its nature and application scenario, protection of WSN had drawn an attention. It is understood that the sensor nodes are valuable to the attacks because of the construction nature of the sensor nodes and distributed network infrastructure. In order to ensure its capability especially in malicious environments, security mechanisms are essential. In this paper, we have discussed the challenges and the viability of the blockchain to implement in the WSN in order to protect WSN from the attacks.
{"title":"The Challenges and Viability of using Blockchain for WSN Security","authors":"Muhammad R. Ahmed, T. Myo, Badar Al Baroomi","doi":"10.5121/csit.2022.120302","DOIUrl":"https://doi.org/10.5121/csit.2022.120302","url":null,"abstract":"Wireless Sensor Network (WSN) comprises of cheap and multifunctional resources constrain nodes that communicate at a fair distances through wireless connections. It is open media and underpinned by an application scenario for data collecting and processing. It can be used for many exclusive applications range from military implementation inside the battlefield, environmental tracking, fitness quarter as well as emergency response of surveillance. With its nature and application scenario, protection of WSN had drawn an attention. It is understood that the sensor nodes are valuable to the attacks because of the construction nature of the sensor nodes and distributed network infrastructure. In order to ensure its capability especially in malicious environments, security mechanisms are essential. In this paper, we have discussed the challenges and the viability of the blockchain to implement in the WSN in order to protect WSN from the attacks.","PeriodicalId":153049,"journal":{"name":"Computer Networks & Communications Trends","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126213536","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}
Pub Date : 2022-02-19DOI: 10.5121/csit.2022.120304
Lukas Jonathan Weber, Alice Kirchheim, Axel Zimmermann
The request for precise text mining applications to extract information of company based automotive warranty and goodwill (W&G) data is steadily increasing. The progress of the analytical competence of text mining methods for information extraction is among others based on the developments and insights of deep learning techniques applied in natural language processing (NLP). Directly applying NLP based architectures to automotive W&G text mining would wage to a significant performance loss due to different word distributions of general domain and W&G specific corpora. Therefore, labelled W&G training datasets are necessary to transform a general-domain language model in a specific-domain one to increase the performance in W&G text mining tasks.
{"title":"W&G-Bert: A Concept for a Pre-Trained Automotive Warranty and Goodwill Language Representation Model for Warranty and Goodwill Text Mining","authors":"Lukas Jonathan Weber, Alice Kirchheim, Axel Zimmermann","doi":"10.5121/csit.2022.120304","DOIUrl":"https://doi.org/10.5121/csit.2022.120304","url":null,"abstract":"The request for precise text mining applications to extract information of company based automotive warranty and goodwill (W&G) data is steadily increasing. The progress of the analytical competence of text mining methods for information extraction is among others based on the developments and insights of deep learning techniques applied in natural language processing (NLP). Directly applying NLP based architectures to automotive W&G text mining would wage to a significant performance loss due to different word distributions of general domain and W&G specific corpora. Therefore, labelled W&G training datasets are necessary to transform a general-domain language model in a specific-domain one to increase the performance in W&G text mining tasks.","PeriodicalId":153049,"journal":{"name":"Computer Networks & Communications Trends","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131402997","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}
Pub Date : 2022-02-19DOI: 10.5121/csit.2022.120301
Aaron Fei, Yu Sun
Recognizing the fact that autistic kids usually have troubles socially and focusing on academic studies, this research attempts to give a more insightful perspective on the ethnic way of helping autistic kids through technologies [4]. The core idea of this paper is to find a way of helping the autistic kids to maximize their potential instead of accommodating this society using assistive tools. Holding the responsibility of sharing the advantages in this society, this application is built to the end of using a general value to connect level of focus to level of reward. This solution is achieved by three steps: Designing a text box with different variables that evaluates focus level, calculating the level of reward based on achievements on the variables, and the game begins with different hardness according to the level of reward. The results show that the designed application increases the focus level of the kids and their willingness to communicate surprisingly.
{"title":"Analyzing and Personalizing the Learning Performance for Special Needs Students using Machine Learning and Data Analytics","authors":"Aaron Fei, Yu Sun","doi":"10.5121/csit.2022.120301","DOIUrl":"https://doi.org/10.5121/csit.2022.120301","url":null,"abstract":"Recognizing the fact that autistic kids usually have troubles socially and focusing on academic studies, this research attempts to give a more insightful perspective on the ethnic way of helping autistic kids through technologies [4]. The core idea of this paper is to find a way of helping the autistic kids to maximize their potential instead of accommodating this society using assistive tools. Holding the responsibility of sharing the advantages in this society, this application is built to the end of using a general value to connect level of focus to level of reward. This solution is achieved by three steps: Designing a text box with different variables that evaluates focus level, calculating the level of reward based on achievements on the variables, and the game begins with different hardness according to the level of reward. The results show that the designed application increases the focus level of the kids and their willingness to communicate surprisingly.","PeriodicalId":153049,"journal":{"name":"Computer Networks & Communications Trends","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128436962","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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