Pub Date : 2020-12-11DOI: 10.1109/RoEduNet51892.2020.9324853
A. Damian, Laurentiu Piciu, N. Tapus
Training deep neural networks requires knowledge and ample experimental time, as well as computational resources due to the search process of the architectural design. In this work, we review the current main research directions in the area of network architecture and finally propose in contrast a novel architecture, namely MultiGatedUnit, that uses directly learnable self-gating mechanisms for automated graph topology generation, currently in research and experimentation phase.
{"title":"A view on automated neural graph topology generation and a viable direction of innovation","authors":"A. Damian, Laurentiu Piciu, N. Tapus","doi":"10.1109/RoEduNet51892.2020.9324853","DOIUrl":"https://doi.org/10.1109/RoEduNet51892.2020.9324853","url":null,"abstract":"Training deep neural networks requires knowledge and ample experimental time, as well as computational resources due to the search process of the architectural design. In this work, we review the current main research directions in the area of network architecture and finally propose in contrast a novel architecture, namely MultiGatedUnit, that uses directly learnable self-gating mechanisms for automated graph topology generation, currently in research and experimentation phase.","PeriodicalId":140521,"journal":{"name":"2020 19th RoEduNet Conference: Networking in Education and Research (RoEduNet)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131194638","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 : 2020-12-11DOI: 10.1109/RoEduNet51892.2020.9324882
Teona Severin, Ioana Culic, Alexandru Radovici
Nowadays the Internet of Things (IoT) is not a novel and ambiguous phrase anymore. As IoT technologies such as smartwatches improve the quality of everyday living, people gradually rely more and more on connected devices. However, despite the exponential increase in popularity, the technologies used for connecting everyday devices and embedded computers to the Internet are still limited. While the range of programming languages and runtimes for web and desktop applications becomes wider, IoT development tools lack in diversity. In this context, this paper aims to adapt a new and popular programming language to be used for building Internet of Things applications. D is an accessible and widely used programming language, which is not currently designed to be used within the IoT domain. By adapting D to run on constrained devices, we desire to make IoT prototyping more accessible.
{"title":"Enabling High-Level Programming Languages on IoT Devices","authors":"Teona Severin, Ioana Culic, Alexandru Radovici","doi":"10.1109/RoEduNet51892.2020.9324882","DOIUrl":"https://doi.org/10.1109/RoEduNet51892.2020.9324882","url":null,"abstract":"Nowadays the Internet of Things (IoT) is not a novel and ambiguous phrase anymore. As IoT technologies such as smartwatches improve the quality of everyday living, people gradually rely more and more on connected devices. However, despite the exponential increase in popularity, the technologies used for connecting everyday devices and embedded computers to the Internet are still limited. While the range of programming languages and runtimes for web and desktop applications becomes wider, IoT development tools lack in diversity. In this context, this paper aims to adapt a new and popular programming language to be used for building Internet of Things applications. D is an accessible and widely used programming language, which is not currently designed to be used within the IoT domain. By adapting D to run on constrained devices, we desire to make IoT prototyping more accessible.","PeriodicalId":140521,"journal":{"name":"2020 19th RoEduNet Conference: Networking in Education and Research (RoEduNet)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127727941","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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