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2021 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2021

作者： Hassan, Mohamed Abul Yin, Xuwang Zhuang, Yan Aldridge, Chad M. McMurry, Timothy Southerland, Andrew M. Rohde, Gustavo K. Imaging and Data Science Lab Department of Biomedical Engineering University of Virginia VA22903 United States Imaging and Data Science Lab Department of Electrical and Computer Engineering University of Virginia VA22903 United States The Department of Neurology University of Virginia VA22903 United States

ISBN: (纸本)9781665403580

The ability to perform automated neurological assessment could enhance diagnosis and treatment in the pre-hospital setting such as during telemedicine or emergency medical services (EMS) encounters. In this pilot study we present the preliminary analysis of a video-based eye movement assessment workflow (NeuroGaze) for neurological eye examinations. Our workflow uses a pupil detector to detect the center of the pupil for both eyes for a given video and determine the conjugacy of eye movement. The study evaluated the proposed workflow on 18 healthy volunteers while performing a digitally adapted neurological eye examination (NeuroEye) to assess conjugacy of gaze in all cardinal positions. The NeuroGaze performance was compared to the COTS eye tracker. The video-based eye movement assessment workflow reported an average Pearson correlation coefficient of 0.84, compared to the COTS eye tracker with an average of 0.95. The preliminary analysis indicates that NeuroGaze can be used to determine the individuals ability to perform conjugate eye movements. Future study will assess the performance of NeuroGaze in patients with pathological eye movements. © 2021 IEEE

关键词： Eye movements

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Model of Web Based Application to Control Bridge Traveler Using Raspberry Pi

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Procedia computer science 2018年 135卷 518-525页

作者： Sebastian Wisnusenna Michael Sunardy Yonatan Aswin Wibisurya Fanny Teguh Yuwono Computer Science Program Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia 11480 Mobile Appication and Technology Program Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia 11480 Struktur Pintar Indonesia Jakarta Indonesia 12950

Bridge traveler is used to facilitate the construction and maintenance of a bridge which is controlled using control panel buttons, located inside the traveler. However, this method leads to some problems, like a difficulty of moving a traveler to a proper position (perspective) and an inhibition of work due to damaged control panel. In this research, a model of a web-based application to control a traveler with spans by using Raspberry Pi is developed. This research’s contribution is a model of a web-based application for traveler automation in all possible movements of its components. As the results, the experiments show that the program implemented doesn’t take much time and the execution of a command is done in a reasonable time. Moreover, for the safety of the bridge traveler, this program also implements a sensor that works when a component is at its most downward/inward position and detecting a blocking object in the middle of a possible movement and stops the movement immediately.

关键词： Bridge Traveler Automated Bridge Traveler IoT Raspberry Pi

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Reveal training performance mystery between Tensor Flow and PyTorch in the single GPU environment

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science China(Information sciences) 2022年第1期65卷 147-163页

作者： Hulin DAI Xuan PENG Xuanhua SHI Ligang HE Qian XIONG Hai JIN National Engineering Research Center for Big Data Technology and System Service Computing Technology and System LabSchool of Computer Science and Technology Huazhong University of Science and Technology Department of Computer Science University of Warwick

Deep learning has gained tremendous success in various fields while training deep neural networks(DNNs) is very compute-intensive, which results in numerous deep learning frameworks that aim to offer better usability and higher performance to deep learning practitioners. Tensor Flow and Py Torch are the two most popular frameworks. Tensor Flow is more promising within the industry context, while Py Torch is more appealing in academia. However, these two frameworks differ much owing to the opposite design philosophy:static vs dynamic computation graph. Tensor Flow is regarded as being more performance-friendly as it has more opportunities to perform optimizations with the full view of the computation graph. However, there are also claims that Py Torch is faster than Tensor Flow sometimes, which confuses the end-users on the choice between them. In this paper, we carry out the analytical and experimental analysis to unravel the mystery of comparison in training speed on single-GPU between Tensor Flow and Py Torch. To ensure that our investigation is as comprehensive as possible, we carefully select seven popular neural networks, which cover computer vision, speech recognition, and natural language processing(NLP). The contributions of this work are two-fold. First, we conduct the detailed benchmarking experiments on Tensor Flow and Py Torch and analyze the reasons for their performance difference. This work provides the guidance for the end-users to choose between these two frameworks. Second, we identify some key factors that affect the performance,which can direct the end-users to write their models more efficiently.

关键词： deep learning performance comparison TensorFlow PyTorch

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Success factors in Flipped Learning in Higher Education: A Systematic Literature Review 2

Success factors in Flipped Learning in Higher Education: A S...

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2nd International Conference on Informatics, Multimedia, Cyber, and Information System, ICIMCIS 2020

作者： Anggaraini Purwaningtyas, Dian Meyliana Nizar Hidayanto, Achmad Prabowo, Harjanto Doctor of Computer Science Bina Nusantara University Computer Science Department Jakarta11480 Indonesia School of Information System Bina Nusantara University Information System Department Jakarta11480 Indonesia Faculty of Computer Science Universitas Indonesia Depok16424 Indonesia Program Bina Nusantara University Jakarta11480 Indonesia

ISBN: (纸本)9781728191676

Online Learning provides flexibility in the teaching model. Flipped learning is a learning model that combines Online Learning and Classical Learning or what is called blended learning. In flipped learning, the role of Information Communication Technology (ICT) plays an important role in the success of student engagement. The application of technology and the framework used are some success factors in flipped learning. In this study reviewing the use of ICT articles and models / frameworks in flipped learning, there are 163 articles which are further synthesized based on content and Research Questions into 41 papers. From the results of the review, there are 3 factors that are considered in flipped learning, namely cognitive aspects, ICT utilization and models / frameworks. © 2020 IEEE.

关键词： E-learning

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An autotester for the modified nextdate function reusing a test case generator

An autotester for the modified nextdate function reusing a t...

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Proceedings of the 2004 IEEE International Conference on Information Reuse and Integration, IRI-2004

作者： Debnath, Narayan Burgin, Mark Feng, Wenying Wilson, Ioshua Cropper, Joseph Computer Science Department Winona State University Winona MN 55987 United States Mathematics Department University of California Los Angeles CA 90095 United States Computer Science/Studies Program Trent University Peterborough ON Canada

ISBN: (纸本)0780388194

A design and implementation of an automated testing tool is presented that reuses an existing test case generator. The tool is implemented in Java. The tool reuses the generator to generate the test cases using a predefined set of specifications for a given software and then executes the same software on those test cases to verify correctness. ©2004 IEEE.

关键词： computer aided software engineering

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6G Networks in Unmanned Ariel Vehicle Intelligent Internet of Things Secured Communication 6

6G Networks in Unmanned Ariel Vehicle Intelligent Internet o...

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6th International Conference on Contemporary Computing and Informatics, IC3I 2023

作者： Beatrice Dorothy, A. Sreeja, B.P. Chamundeeswari, Vijaya Madala, Ravikiran Singh, Devesh Pratap Sucharitha, K. Department of Data Science Tiruchirappalli India Karpagam College of Engineering Department of Information Technology Tamilnadu Coimbatore India Saveetha Engineering College Department of Computer Science Engineering Tamilnadu Chennai India University of Cumberlands DurhamNC United States Graphic Era Deemed to Be University Department of Computer Science and Engineering Uttarakhand Dehradun India St.Martin's Engineering College Department of Computer Science and Engineering Telangana Hyderabad India

ISBN: (纸本)9798350304480

Unmanned airborne vehicles (UAVs) have shown enormous possible throughout recent years in conveying the expense and time-successful answers for the different social applications, including medical services, store network, and video and reconnaissance. Scientists from everywhere the world have offered various ways of protecting information against cyberattacks on the grounds that it has various information security and security concerns. Various of them have made ideas for very computationally concentrated cryptographic-based arrangements. Just few scholastics have proposed Blockchain (BC)- based arrangements, but these arrangements might have high information stockpiling costs as well as inertness, trustworthiness, and limit issues with the networks. This study introduced an InterPlanetary Record Framework and BC-based secure UAV communication convention over the 6G organization to address the previously mentioned issues. The proposed arrangement ensures information secrecy and protection, brings down the expense of information stockpiling, and further develops network proficiency. The following stage is to examine the exploration issues and future headings for improving the proposed framework. © 2023 IEEE.

关键词： Network security

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Video Quality Indicators for Video-Based Learning System in Higher Education 23

Video Quality Indicators for Video-Based Learning System in ...

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9th International Conference on Frontiers of Educational Technologies, ICFET 2023

作者： Zulkarnain, Novan Prabowo, Harjanto Gaol, Ford Lumban Isa, Sani Muhamad Computer Science Department BINUS Graduate Program Computer Science Information System Bina Nusantara University Indonesia Department School of Information System Bina Nusantara University Indonesia Management Department BINUS Business School Undergraduate Program Information System Department School of Information System Bina Nusantara University Indonesia

ISBN: (纸本)9798400707353

Higher education worldwide has adopted Video-Based Learning (VBL) over the past decade. They have tried to build a VBL system to improve services to students. However, the researcher's topic was not fully explored, especially in making the video itself. What features are mandatory and must be considered in making a video lecture to increase student engagement. A systematic review of the literature (SLR) is a way to identify these features. This study provides a critical analysis of the current research in VBL over the last five years (2017 - 2021). It presents a general trend examining 1336 journals and many literary works related to VBL design in Higher Education, selected through a stepwise process based on PRISMA Framework guidelines, using pre-defined selection criteria. We carefully selected 32 journals and found 22 features referring to the Lecture Video Design succession. © 2023 ACM.

关键词： Learning systems

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REU sites: Much more than a research experience for undergraduates

REU sites: Much more than a research experience for undergra...

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2008 ASEE Annual Conference and Exposition

作者： Labrador, Miguel Guerrero, Cesar Perez, Rafael University of South Florida University of South Florida Tampa United States Department of Computer Science and Engineering Research Experiences for Undergraduates Program Department of Computer Science and Engineering University of South Florida College of Engineering University of South Florida

Undergraduate research is one of the most important recommended vehicles to address current educational concerns in science and Engineering, such as high dropout rates, low graduation rates, and low enrollment in graduate programs. In this paper we describe our experience running an NSF-sponsored Research Experiences for Undergraduates (REU) Site in computer science and Engineering (CS&E), an area where these problems have been recently exacerbated and where under-represented minority student groups with important growth rates have had a very low participation. The most important aspects that need to be included in these programs to address these concerns and some other initiatives that can bring additional benefits at low cost are also described. For each of these aspects, successful strategies or best practices are included. Finally, the effectiveness of the program is demonstrated with the results of the program evaluation. © American Society for Engineering Education, 2008.

关键词： Engineering education

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On the Evaluation of Access-point Handovers for UAVs in Long-distance Missions

On the Evaluation of Access-point Handovers for UAVs in Long...

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2021 International Conference on Unmanned Aircraft Systems, ICUAS 2021

作者： Fagundes, Leonardo A. Souza, Vitor Barbosa Brandao, Alexandre S. Núcleo de Especialização em Robótica Federal University of Viçosa Department of Electrical Engineering and Graduate Program on Computer Science Viçosa Brazil Federal University of Viçosa Graduate Program on Computer Science Department of Informatics Viçosa Brazil

ISBN: (纸本)9780738131153

Unmanned Aerial Vehicle (UAV) systems are being increasingly used in a broad range of applications requiring extensive communications either to interconnect the UAVs with each other or to connect them with Ground Control Stations (GCS). Due to the complexity and difficulty of performing long distance experiments with these robots, simulation becomes a viable and necessary alternative. However, focusing either on the modeling of UAV operations or communication dynamics, available simulation tools are not able to capture the complex interdependencies between these two aspects, especially in applications where extensive communications are required. The main contribution of this work is the modeling and implementation of strategies for enhancing connectivity of a UAV performing long-distance navigation tasks, taking into account applications' requirements. The proposed strategies aim at assessing the impact of frequent handovers between wireless access points in terms of packet loss and available bandwidth. The first strategy prioritizes maintaining a connection until the signal-to-noise ratio (SNR) observed by the robot reaches a predefined threshold. For this, it is assumed that the data to be transmitted is small enough so that the robot may change its modulation to obtain smaller bandwidths while improving connection time. The second one prioritizes bandwidth availability, thus, it always searches for a network that is able to offer data rates higher than a minimum threshold. A hybrid model is validated by considering the characteristics of each individual strategy. The capabilities of the simulation tool designed for this work are illustrated through some case-study scenarios. © 2021 IEEE.

关键词： Unmanned aerial vehicles (UAV)

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Security and Energy Efficiency Enhancement for the Internet of Things: Challenges, Architecture and Future Research

Security and Energy Efficiency Enhancement for the Internet ...

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International Conference on data science and Network Engineering, ICDSNE 2023

作者： Dewan, Ritu Nagpal, Tapsi Ahmad, Sharik Rana, Arun Kumar Islam, Sardar M. N. Department of Computer Science and Engineering Lingayas Vidyapeeth Faridabad India Department of Computer Science and Engineering Galgotias College of Engineering & Technology Gr. Noida India SILC Decision Sciences and Modelling Program Victoria University Victoria Australia

ISBN: (纸本)9789819967544

Thanks to constantly advancing technology, the world is changing rapidly. One such idea that has contributed to the reality of automation is the Internet of Things (IoT). IoT links various non-living objects to the internet and enables them to communicate with their local network to automate processes and simplify people’s lives. The IoT’s potential needs to be completely realised despite the enormous efforts of standards, organisations, coalitions, businesses, academics and others. A number of problems remain. The enabling technology, applications and business models, as well as the social and environmental repercussions, should all be taken into consideration while analysing these difficulties. This article’s emphasis is on unresolved issues and challenges from a technological perspective. The main objective is to provide a thorough evaluation of IoT in terms of energy and security, as well as unresolved problems and obstacles that need further study. We provide some perspectives on some new concepts to help future research. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Internet of things

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