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IEEE Games Media Entertainment (GEM)

作者： Bill Kapralos Alvaro Quevedo KC Collins Celina Da Silva Eva Peisachovich Kamen Kanev Michael Jenkin Adam Dubrowski Fahad Alam maxSIMhealth. Ontario Tech University Oshawa Ontario Canada Software and Informatics Research Centre. Ontario Tech University Oshawa Ontario Canada Collaborative Human Immersive Interaction Lab Toronto Canada School of Information Technology Carleton University Ottawa Ontario Canada Department of Health York University Toronto Ontario Canada Research Institute of Electronics Shizuoka University Hamamatsu Japan Department of Electrical Engineering and Computer Science Lassonde School of Engineering York University Canada Faculty of Health Sciences Ontario Tech University Oshawa Ontario Canada Department of Anesthesia Sunnybrook Health Science Centre Toronto Ontario Canada

ISBN: (纸本)9781665461399

Pseudo-haptics refers to the simulation of haptic sensations without the use of haptic interfaces, using, for example, audiovisual feedback and kinesthetic cues. Given the COVID-19 pandemic and the shift to online learning, there has been a recent interest in pseudo-haptics as it can help facilitate psychomotor skills development away from simulation centers and laboratories. Here we present work-in-progress that describes the study design of a pseudo-haptics for virtual anesthesia skills development. We anticipate this work will provide greater insight to pseudo-haptics and its application to anesthesia-based training.

关键词： Training COVID-19 Pandemics Laboratories Entertainment industry Games Media

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Fault Tolerance Impact on Near Field Communication for Data Storage of Mobile Commerce Technology in Cloud Computing 2nd

Fault Tolerance Impact on Near Field Communication for Data ...

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2nd International Conference on Advanced Data and Information engineering, DaEng 2015

作者： Noraziah, Ahmad Herawan, Tutut Rahman, Mohd Tarmizi Abd Abdullah, Zailani Mustafa, Balsam A. Fakharaldien, Mohammed Adam Ibrahim Faculty of Computer Systems and Software Engineering University Malaysia Pahang GambangPahang26300 Malaysia Faculty of Computer Science and Information Technology University of Malaya Kuala Lumpur50603 Malaysia School of Informatics & Applied Mathematics University Malaysia Terengganu Kuala Terengganu21030 Malaysia

ISBN: (纸本)9789811317972

Fault tolerance is a major concern to guarantee availability and reliability of critical services as well as application execution. Recently, due to rapid expansion of smart phone market and wireless communication environment, mobile devices are considered as resource for large scale distributed processing but there are several drawbacks, such as unstable wireless connection, limitation of data storage capacity, low communication bandwidth and frequent location changes. Cloud systems differ from these previous frameworks in that they are designed to support large numbers of customer-oriented applications, each with different quality of service (QoS) requirements and resource consumption characteristics. As resource providers, mobile devices can join and leave the distributed computing environment unpredictably. This interrupts the undergoing operation, and the delay or failure of completing the operation may cause a system failure. In this paper, we propose a monitoring technique based on Load Balancing. © Springer Nature Singapore Pte Ltd. 2019.

关键词： Mean time between failures

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Exploiting open Ie for deriving multiple premises entailment corpus 12

Exploiting open Ie for deriving multiple premises entailment...

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12th International Conference on Recent Advances in Natural Language Processing, RANLP 2019

作者： Víta, Martin Klímek, Jakub NLP Centre Faculty of Informatics Masaryk University Botanická 68a Brno602 00 Czech Republic Department of Software Engineering Faculty of Mathematics and Physics Charles University Malostranské nám. 2/25 Prague 1118 00 Czech Republic

ISBN: (纸本)9789544520557

Natural language inference (NLI) is a key part of natural language understanding. The NLI task is defined as a decision problem whether a given sentence - hypothesis - can be inferred from a given text. Typically, we deal with a text consisting of just a single premise/single sentence, which is called a single premise entailment (SPE) task. Recently, a derived task of NLI from multiple premises (MPE) was introduced together with the first annotated corpus and corresponding several strong baselines. Nevertheless, the further development in MPE field requires accessibility of huge amounts of annotated data. In this paper we introduce a novel method for rapid deriving of MPE corpora from an existing NLI (SPE) annotated data that does not require any additional annotation work. This proposed approach is based on using an open information extraction system. We demonstrate the application of the method on a well known SNLI corpus. Over the obtained corpus, we provide the first evaluations as well as we state a strong baseline. © 2019 Association for Computational Linguistics (ACL). All rights reserved.

关键词： Deep learning

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Mapping of weathered layer thickness and Seismic Vulnerability in Tegal using HVSR method

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Journal of Physics: Conference Series 2021年第1期1951卷

作者： NAF Tanjung I Permatasari AHP Yuniarto Software Engineering Faculty of Informatics Institut Teknologi Telkom Purwokerto Indonesia Telecommunication Engineering Faculty of Telecommunication and Electrical Engineering Institut Teknologi Telkom Purwokerto Indonesia Physics Faculty of Science and Technology Institut Teknologi dan Sains Nahdlatul Ulama Pekalongan Indonesia

The Baribis-Kendeng-Tegal fault is part of the Baribis-Kendeng fault segment that extends from West to East in the north of Java Island. The existence of this fault segment affects seismic activity in Tegal. The research was conducted by microtremor measurement to determine the earthquake susceptibility index and the thickness of the weathered layer in Tegal City. The data collection method in the study used the HVSR (Horizontal-to-Vertical Spectral Ratio) method to determine the subsurface conditions of the study area. The results of the horizontal component analysis of the vertical component showed a spectrum peak at the dominant frequency and amplification factor. The thickness of the weathered layer was obtained from the comparison of the value of Vs 30 of the study area to its natural frequency value. The seismic vulnerability index was obtained by squaring the amplification and dividing it into its natural frequency. Measurements carried out at 37 points in Tegal City obtained varying thickness of the weathered layer, ranging from 4.29 meters to 88.14 meters and seismic vulnerability values ranging from 0.08 to 16.65.

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A Brief Review of Explainable Artificial Intelligence in Healthcare

arXiv

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arXiv 2023年

作者： Sadeghi, Zahra Alizadehsani, Roohallah Cifci, Mehmet Akif Kausar, Samina Rehman, Rizwan Mahanta, Priyakshi Bora, Pranjal Kumar Almasri, Ammar Alkhawaldeh, Rami S. Hussain, Sadiq Alatas, Bilal Shoeibi, Afshin Moosaei, Hossein Hladík, Milan Nahavandi, Saeid Pardalos, Panos M. Institute for Big Data Analytics Faculty of Computer Science Dalhousie University Canada Deakin University Geelong Australia The Institute of Computer Technology Tu Wien University Vienna1040 Austria University of Kotli Azad Jammu and Kashmir Azad Kashmir Kotli Pakistan Centre for Computer Science and Applications Dibrugarh University Assam India Department of Management Information Sys Al-Balqa Applied University Salt19117 Jordan Department of Computer Information Systems The University of Jordan Aqaba77110 Jordan Examination Branch Dibrugarh University Assam Dibrugarh India Department of Software Eng. Firat University Elazig23100 Turkey Data Science and Computational Intelligence Institute University of Granada Spain Department of Informatics Faculty of Science Jan Evangelista Purkyně University in Ústí nad Labem Czech Republic Department of Applied Mathematics School of Computer Science Faculty of Mathematics and Physics Charles University Prague Czech Republic Harvard Paulson School of Engineering and Applied Sciences Harvard University AllstonMA02134 United States Center for Applied Optimization Department of Industrial and Systems Engineering University of Florida Gainesville32611 United States

XAI refers to the techniques and methods for building AI applications which assist end users to interpret output and predictions of AI models. Black box AI applications in high-stakes decision-making situations, such as medical domain have increased the demand for transparency and explainability since wrong predictions may have severe consequences. Model explainability and interpretability are vital successful deployment of AI models in healthcare practices. AI applications' underlying reasoning needs to be transparent to clinicians in order to gain their trust. This paper presents a systematic review of XAI aspects and challenges in the healthcare domain. The primary goals of this study are to review various XAI methods, their challenges, and related machine learning models in healthcare. The methods are discussed under six categories: Features-oriented methods, global methods, concept models, surrogate models, local pixel-based methods, and human-centric methods. Most importantly, the paper explores XAI role in healthcare problems to clarify its necessity in safety-critical applications. The paper intends to establish a comprehensive understanding of XAI-related applications in the healthcare field by reviewing the related experimental results. To facilitate future research for filling research gaps, the importance of XAI models from different viewpoints and their limitations are investigated. © 2023, CC BY-NC-ND.

关键词： Decision making

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Corrigendum to 'Data to evaluate the usability of an interactive system based on a judgment-based model' [Data in Brief 43 (2022) 1-14/ 108418]

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Data in brief 2022年 43卷 108472页

作者： Adeleh Asemi Asefeh Asemi Department of Software Engineering Faculty of Computer Science and Information Technology Universiti Malaya 50603 Kuala Lumpur Malaysia. Doctoral School of Economics Business & Informatics Corvinus University of Budapest 1093 Budapest Fovam ter 8. Hungary.

[This corrects the article DOI: 10.1016/***.2022.108418.].

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Applying aspect-oriented change realization in the mobile application domain 18

Applying aspect-oriented change realization in the mobile ap...

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2nd International Conference on Art, Science, and engineering of Programming, Programming 2018

作者： Kostova, Sandra Vranić, Valentino Institute of Informatics Information Systems and Software Engineering Faculty of Informatics and Information Technologies Slovak University of Technology Bratislava Slovakia

ISBN: (纸本)9781450355131

Aspect-oriented programming makes possible to express changes in a modular way directly at the level of programming language constructs. This is particularly useful in situations that require explicit change manipulation, such as change reapplication to another version branch in application customization. However, it may be tricky to employ appropriate aspect-oriented constructs in a correct way that accommodates well the change to be implemented. This has been successfully addressed by an approach to aspect-oriented change realization based on a two-level change type model, which features a catalog of specification and implementation change types and their relationships, primarily targeting the web application domain. In this paper, we explore the applicability of the change types gathered in this catalog for the mobile application domain. For this, we performed a study that involved a set of hypothetical scenarios and two real mobile applications for Android. The study revealed that the change types known from the web application domain are in their essence applicable to the mobile application domain. It also lead to the discovery of four new specification change types in the mobile application domain and the corresponding specification-implementation change type relationships along with further relationships between known change types. © 2018 Copyright held by the owner/author(s).

关键词： Specifications

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Perceptions of Gender Diversity’s impact on mood in software development teams

arXiv

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arXiv 2019年

作者： Blincoe, Kelly Springer, Olga Wróbel, Michal R. Department of Electrical Computer and Software Engineering University of Auckland Faculty of Electronics Telecommunications and Informatics Gdansk University of Technology

Recent studies show that gender diversity in IT teams has a positive impact on the software development process. However, there is still a great gender inequality. The aim of our study was to examine how the working atmosphere depends on the gender differentiation of IT teams. The analysis of the results of the interviews and questionnaires showed that the atmosphere in gender-differentiated teams is more pleasant compared to purely male ones. The paper also discusses the problem of gender discrimination, which, according to the results of the study, unfortunately still exists and affects the working atmosphere. Finally, we looked at ways to reduce the gender inequity, where it turned out that soft approaches such as dedicated training, workshops to show the human face of the IT industry are preferred. Copyright © 2019, The Authors. All rights reserved.

关键词： Surveys

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Regular exercise improves dual tasking performance in patients with Parkinson's disease: Preliminary data

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Gait & Posture 2022年 97卷 S246-S247页

作者： Vasiľová, Z. Martiš, P. Košutzká, Z. Jeleň, M. Nagy, M. Turi Slobodová, L. Ukropcová, B. Valkovič, P. Comenius University Faculty of Medicine University Hospital Bratislava 2nd Department of Neurology Bratislava Slovakia Faculty of Electrical Engineering and Informatics Sports Technology Institute Bratislava Slovakia Neuroconsan- a.s. Software Development Bratislava Slovakia Slovak Academy of Sciences Biomedical Research Center Bratislava Slovakia

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An energy efficient service composition mechanism using a hybrid meta-heuristic algorithm in a mobile cloud environment

arXiv

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arXiv 2020年

作者： Ibrahim, Godar J. Rashid, Tarik A. Akinsolu, Mobayode O. Department of Software and Informatics Engineering Salahaddin University-Erbil Erbil Iraq Computer Science and Engineering Department University of Kurdistan Hewlêr Iraq Faculty of Arts Science and Technology Wrexham Glyndwr University Mold Road WrexhamLL11 2AW United Kingdom

By increasing mobile devices in technology and human life, using a runtime and mobile services has gotten more complex along with the composition of a large number of atomic services. Different services are provided by mobile cloud components to represent the nonfunctional properties as Quality of Service (QoS), which is applied by a set of standards. On the other hand, the growth of the energy-source heterogeneity in mobile clouds is an emerging challenge according to the energy-saving problem in mobile nodes. To mobile cloud service composition as an NP-Hard problem, an efficient selection method should be taken by problem using optimal energy-aware methods that can extend the deployment and interoperability of mobile cloud components. Also, an energy-aware service composition mechanism is required to preserve high energy saving scenarios for mobile cloud components. In this paper, an energy-aware mechanism is applied to optimize mobile cloud service composition using a hybrid Shuffled Frog Leaping Algorithm and Genetic Algorithm (SFGA). Experimental results capture that the proposed mechanism improves the feasibility of the service composition with minimum energy consumption, response time, and cost for mobile cloud components against some current algorithms. Copyright © 2020, The Authors. All rights reserved.

关键词： Quality of service

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