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IEEE EMBS Conference on Biomedical Engineering and sciences (IECBES)

作者： Alwani Liyana Ahmad Zamzuri Idris Ibrahima Faye Jose Sanchez-Bornot Roberto C. Sotero Damien Coyle Department of Fundamental and Applied Sciences Faculty of Science and Information Technology Universiti Teknologi PETRONAS Perak Malaysia Department of Neurosciences Hospital Universiti Sains Malaysia Kelantan Malaysia Brain and Behaviour Cluster School of Medical Sciences Universiti Sains Malaysia Kelantan Malaysia Department of Neurosciences School of Medical Sciences Universiti Sains Malaysia Kelantan Malaysia Centre for Intelligent Signal & Imaging Research (CISIR) Universiti Teknologi PETRONAS Perak Malaysia Intelligent Systems Research Centre School of Computing Engineering and Intelligent Systems Ulster University Derry~Londonderry UK Department of Radiology and Hotchkiss Brain Institute University of Calgary Calgary AB Canada The Bath Institute for the Augmented Human University of Bath Bath UK

ISBN: (数字)9798350383409

ISBN: (纸本)9798350383416

Introduction: Magnetoencephalography (MEG) is widely used to study neurodegenerative diseases, particularly Alzheimer's disease (AD). MEG is valuable for examining functional changes in the AD brain due to its non-invasive nature and excellent spatial and temporal resolution. AD is characterized by amyloid-beta and tau protein formation, which disrupts brain networks and leads to memory and cognitive impairments. Objective: This study aimed to evaluate power spectra analysis of brain activity using various source localization methods and machine learning (ML) classification analysis based on GLMNET and correlation thresholds to identify MEG-based features that improve differentiation between healthy controls (HC) and mild cognitive impairment (MCI). Methods: We used the BioFIND dataset, including MEG data from 324 participants (158 MCI, 166 HC). MEG data were analyzed using custom MATLAB scripts with SPM12 and OSL toolboxes. Source localization methods included Bayesian LORETA (COH), Multiple Sparse Priors (MSP), Empirical Bayesian Beamformer (EBB), exact Low-Resolution Tomography Analysis (eLORETA), and Linearly Constrained Minimum Variance (LCMV). Sensor-based analyses were also conducted. Logistic Regression with L1 penalty (GLMNET) was applied in both sensor and source spaces, with different correlation thresholds for magnetometer (MAG) and gradiometer (GRAD) signals separately. We used 20 Monte Carlo iterations with 10-fold nested cross-validation to assess classifier performance. Results: Optimal performance was achieved using the LCMV method on GRAD sensors with a 0.1 correlation threshold, resulting in 74.57% accuracy, 71.55% sensitivity, and a 73.29% F1 score. Conclusions: This study demonstrates the potential of MEG as a robust tool for distinguishing between individuals with MCI and HC. By evaluating various source localization methods and correlation thresholds, we identified that the LCMV beamformer applied to GRAD signals with a 0.1 correlation thresho

关键词： Location awareness Brain Correlation Monte Carlo methods Magnetoencephalography Tomography Bayes methods Alzheimer's disease Spatial resolution Spectral analysis

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A multiagent framework for coordinating industrial symbiotic networks 21

A multiagent framework for coordinating industrial symbiotic...

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21st Workshop "From Objects to Agents", WOA 2020

作者： Yazdanpanah, Vahid Yazan, Devrim M. Zijm, Henk M. Research Group School of Electronics and Computer Science University of Southampton SouthamptonSO17 1BJ United Kingdom Department Industrial Engineering and Business Information Systems Faculty of Behavioural Management and Social Sciences University of Twente Enschede7500 AE Netherlands

We present a formal multiagent framework for coordinating a class of collaborative industrial practices called "Industrial Symbiotic Networks (ISNs)" as cooperative games. The game-theoretic formulation of ISNs enables systematic reasoning about what we call the ISN implementation problem. Specifically, the characteristics of ISNs may lead to the inapplicability of standard fair and stable benefit allocation methods. Inspired by realistic ISN scenarios and following the literature on normative multiagent systems, we consider regulations and normative socio-economic policies as coordination instruments that in combination with ISN games resolve the situation. In this multiagent system, employing Marginal Contribution Nets (MC-Nets) as rule-based cooperative game representations foster the combination of regulations and ISN games with no loss in expressiveness. We develop algorithmic methods for generating regulations that ensure the implementability of ISNs and as a policy support, present the policy requirements that guarantee the implementability of desired ISNs in a balanced-budget way. © 2020 Copyright for this paper by its authors.

关键词： Multi agent systems

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How Big Data Phenomenon Impact and Improve the e-Learning Process

How Big Data Phenomenon Impact and Improve the e-Learning Pr...

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Virtual Campus (JICV), X International Conference on

作者： Karim Aoulad Abdelouarit Boubker Sbihi Noura Aknin Information Technology and Modeling Systems Research Unit Computer Science Operational Research and Applied Statistics Laboratory Abdelmalek Essaadi University Tetuan Morocco

ISBN: (数字)9781665415194

ISBN: (纸本)9781665430203

With the emergence of Big Data, the exploitation of information has become such a direct and rapid action that many questions arise about the reliability and value of data. However, the data raised by online search engines is based on a varied and massive environment, which includes varied data and from different sources of information. Indeed, in the field of distance education (e-Learning) and in particular during online research, the learner is faced with a massive mixture of data which does not exist in an ordered format and which is not easy to operate. This variety of data represents the second V in Big Data. In order to support learners in their search for information, it is proposed to design a specialized tool to combine these massive and varied data so that they can provide the appropriate result to the learner. This article deals with the descriptive study of the current state of the use of online research in the Big Data environment by the students of the UAE (Abdelmalek Essaadi University), and to highlight the advantages and impacts of this phenomenon on learning and scientific research.

关键词： Technical requirements Electronic learning Ergonomics Documentation Big Data Tools Search engines

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Experimental genuine quantum nonlocality in the triangle network

arXiv

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arXiv 2024年

作者： Wang, Ning-Ning Zhang, Chao Cao, Huan Xu, Kai Liu, Bi-Heng Huang, Yun-Feng Li, Chuan-Feng Guo, Guang-Can Gisin, Nicolas Kriváchy, Tamás Renou, Marc-Olivier CAS Key Laboratory of Quantum Information University of Science and Technology of China Hefei230026 China CAS Center For Excellence in Quantum Information and Quantum Physics University of Science and Technology of China Hefei230026 China Hefei National Laboratory University of Science and Technology of China Hefei230088 China Vienna1090 Austria Christian Doppler Laboratory for Photonic Quantum Computer Faculty of Physics University of Vienna Vienna1090 Austria Group of Applied Physics University of Geneva Geneva 41211 Switzerland Constructor University Geneva Switzerland ICFO - Institut de Ciencies Fotoniques The Barcelona Institute of Science and Technology Castelldefels Barcelona08860 Spain Atominstitut Technische Universität Wien Vienna1020 Austria Inria Paris-Saclay Bâtiment Alan Turing 1 rue Honoré d’Estienne d’Orves Palaiseau91120 France CPHT Ecole polytechnique Institut Polytechnique de Paris Route de Saclay Palaiseau91128 France

In the last decade, it was understood that quantum networks involving several independent sources of entanglement which are distributed and measured by several parties allowed for completely novel forms of non-classical quantum correlations, when entangled measurements are performed. Here, we experimentally obtain quantum correlations in a triangle network structure, and provide solid evidence of its nonlocality. Specifically, we first obtain the elegant distribution proposed in [1] by performing a six-photon experiment. Then, we justify its nonlocality based on machine learning tools to estimate the distance of the experimentally obtained correlation to the local set, and through the violation of a family of conjectured inequalities tailored for the triangle network. Copyright © 2024, The Authors. All rights reserved.

关键词： Quantum entanglement

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A Strategy using Social Media to Increase Students Engagement in E-Learning for the Equivalency Education Program (E-LEEP) 3

A Strategy using Social Media to Increase Students Engagemen...

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3rd International Conference on Computing and applied Informatics 2018, ICCAI 2018

作者： Betty Yel, Mesra Sfenrianto, Sfenrianto Wang, Gunawan Fajar, Ahmad Nurul Faculty of Computer Science STIKOM CKI Jakarta Indonesia Information Systems Management Department BINUS Graduate Program - Master of Information Systems Management Bina Nusantara University Jakarta11480 Indonesia

Social media can be used to support learning activities in non-formal education. The utilization of social media by students can be seen as a strategy to improve the students' engagement in e-Learning. It is an important goal for the e-Learning of non-formal education. This study aims to propose a strategy using social media to increase students engagement in E-Learning for the Equivalency Education Program (SosMed E-LEEP strategy). This strategy has several key components. These components are students, social media, E-LEEP, and Students Engagement. SosMed E-LEEP Strategy consists of sharing activities, getting information, discussing, and interacting with students and Tutor, and for learning purpose. Each of these strategic activities is expected to improve students engagement, namely: access to learning materials, forum discussion activities, and assignment uploading. © 2019 Published under licence by IOP Publishing Ltd.

关键词： E-learning

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Technology Roadmap for Flexible Sensors

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ACS NANO 2023年第6期17卷 5211-5295页

作者： Luo, Yifei Abidian, Mohammad Reza Ahn, Jong-Hyun Akinwande, Deji Andrews, Anne M. Antonietti, Markus Bao, Zhenan Berggren, Magnus Berkey, Christopher A. Bettinger, Christopher John Chen, Jun Chen, Peng Cheng, Wenlong Cheng, Xu Choi, Seon-Jin Chortos, Alex Dagdeviren, Canan Dauskardt, Reinhold H. Di, Chong-an Dickey, Michael D. Duan, Xiangfeng Facchetti, Antonio Fan, Zhiyong Fang, Yin Feng, Jianyou Feng, Xue Gao, Huajian Gao, Wei Gong, Xiwen Guo, Chuan Fei Guo, Xiaojun Hartel, Martin C. He, Zihan Ho, John S. Hu, Youfan Huang, Qiyao Huang, Yu Huo, Fengwei Hussain, Muhammad M. Javey, Ali Jeong, Unyong Jiang, Chen Jiang, Xingyu Kang, Jiheong Karnaushenko, Daniil Khademhosseini, Ali Kim, Dae-Hyeong Kim, Il-Doo Kireev, Dmitry Kong, Lingxuan Lee, Chengkuo Lee, Nae-Eung Lee, Pooi See Lee, Tae-Woo Li, Fengyu Li, Jinxing Liang, Cuiyuan Lim, Chwee Teck Lin, Yuanjing Lipomi, Darren J. Liu, Jia Liu, Kai Liu, Nan Liu, Ren Liu, Yuxin Liu, Yuxuan Liu, Zhiyuan Liu, Zhuangjian Loh, Xian Jun Lu, Nanshu Lv, Zhisheng Magdassi, Shlomo Malliaras, George G. Matsuhisa, Naoji Nathan, Arokia Niu, Simiao Pan, Jieming Pang, Changhyun Pei, Qibing Peng, Huisheng Qi, Dianpeng Ren, Huaying Rogers, John A. Rowe, Aaron Schmidt, Oliver G. Sekitani, Tsuyoshi Seo, Dae-Gyo Shen, Guozhen Sheng, Xing Shi, Qiongfeng Someya, Takao Song, Yanlin Stavrinidou, Eleni Su, Meng Sun, Xuemei Takei, Kuniharu Tao, Xiao-Ming Tee, Benjamin C. K. Thean, Aaron Voon-Yew Trung, Tran Quang Wan, Changjin Wang, Huiliang Wang, Joseph Wang, Ming Wang, Sihong Wang, Ting Wang, Zhong Lin Weiss, Paul S. Wen, Hanqi Xu, Sheng Xu, Tailin Yan, Hongping Yan, Xuzhou Yang, Hui Yang, Le Yang, Shuaijian Yin, Lan Yu, Cunjiang Yu, Guihua Yu, Jing Yu, Shu-Hong Yu, Xinge Zamburg, Evgeny Zhang, Haixia Zhang, Xiangyu Zhang, Xiaosheng Zhang, Xueji Zhang, Yihui Zhang, Yu Zhao, Siyuan Zhao, Xuanhe Zheng, Yuanjin Zheng, Yu-Qing Zheng, Zijian Zhou, Tao Zhu, Bowen Zhu, Ming Zhu, Rong Zhu, Yangzhi Zhu, Yong Zou, Guijin Chen, Xiaodong 08-03 Innovis Singapore 138634 Republic of Singapore Innovative Centre for Flexible Devices (iFLEX) School of Materials Science and Engineering Nanyang Technological University Singapore 639798 Singapore Department of Biomedical Engineering University of Houston Houston Texas 77024 United States School of Electrical and Electronic Engineering Yonsei University Seoul 03722 Republic of Korea Department of Electrical and Computer Engineering The University of Texas at Austin Austin Texas 78712 United States Microelectronics Research Center The University of Texas at Austin Austin Texas 78758 United States Department of Chemistry and Biochemistry California NanoSystems Institute and Department of Psychiatry and Biobehavioral Sciences Semel Institute for Neuroscience and Human Behavior and Hatos Center for Neuropharmacology University of California Los Angeles Los Angeles California 90095 United States Colloid Chemistry Department Max Planck Institute of Colloids and Interfaces 14476 Potsdam Germany Department of Chemical Engineering Stanford University Stanford California 94305 United States Laboratory of Organic Electronics Department of Science and Technology Campus Norrköping Linköping University 83 Linköping Sweden Wallenberg Initiative Materials Science for Sustainability (WISE) and Wallenberg Wood Science Center (WWSC) SE-100 44 Stockholm Sweden Department of Materials Science and Engineering Stanford University Stanford California 94301 United States Department of Biomedical Engineering and Department of Materials Science and Engineering Carnegie Mellon University Pittsburgh Pennsylvania 15213 United States Department of Bioengineering University of California Los Angeles Los Angeles California 90095 United States School of Chemistry Chemical Engineering and Biotechnology Nanyang Technological University Singapore 637457 Singapore Nanobionics Group Department of Chemical and Biological Engineering Monash University Clayton Australia 3800 Monash

Humans rely increasingly on sensors to address grand challenges and to improve quality of life in the era of digitalization and big data. For ubiquitous sensing, flexible sensors are developed to overcome the limitations of conventional rigid counterparts. Despite rapid advancement in bench-side research over the last decade, the market adoption of flexible sensors remains limited. To ease and to expedite their deployment, here, we identify bottlenecks hindering the maturation of flexible sensors and propose promising solutions. We first analyze continued...challenges in achieving satisfactory sensing performance for real-world applications and then summarize issues in compatible sensor-biology interfaces, followed by brief discussions on powering and connecting sensor networks. Issues en route to commercialization and for sustainable growth of the sector are also analyzed, highlighting environmental concerns and emphasizing nontechnical issues such as business, regulatory, and ethical considerations. Additionally, we look at future intelligent flexible sensors. In proposing a comprehensive roadmap, we hope to steer research efforts towards common goals and to guide coordinated development strategies from disparate communities. Through such collaborative

关键词： soft materials mechanics engineering flexible electronics conformable sensors bioelectronics human-machine interfaces body area sensor networks technology translation sustainable electronics

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Using Interdependencias for the Prioritization and Reprioritization of Requirements in Incremental Development

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International Journal of Advanced computer science and Applications 2020年第11期11卷 224-230页

作者： Al-Adwan, Aryaf Aladwan, An'aam Department of Computer and Networks Engineering Faculty of Engineering Technology Al-Balqa Applied University Amman Jordan Department of Management Information Systems Al-Ahliyya Amman University Amman Jordan

There is a growing trend to develop and deliver the software in an incremental manner;to achieve greater consistency in the developed software and better customer satisfaction during the requirement engineering process. Some of the developed increments in the incremental model will be delivered to consumers and run in their environments, so a set of these requirements are evaluated, introduced, and delivered as the first increment. Other requirements are delivered as the next step and so on for the next increment. The priority of requirements plays an important role in each increment, but it is precluded by the interdependences between the requirements and resources constraints. Therefore, this paper introduces a model for requirements prioritization and a reprioritization based on these important factors. The first one is the requirement interdependencies which are described as a hybrid approach of tractability list and directed acyclic graph, and the second factor is the constraints of the requirements resources that are used based on the queuing theory for requirements reprioritization. In order to achieve this, two algorithms namely;Priority Dependency Graph (PDG) and Resources Constraints Reprioritization (RCR), were proposed with a linear time complexity and implemented via a case study. © 2020. All Rights Reserved.

关键词： Customer satisfaction

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Learning Culture Framework in E-Learning for the Equivalency Education Program (E-LEEP Culture) 3

Learning Culture Framework in E-Learning for the Equivalency...

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3rd International Conference on Computing and applied Informatics 2018, ICCAI 2018

作者： Betty Yel, Mesra Sfenrianto, Sfenrianto Wang, Gunawan Faculty of Computer Science STIKOM CKI Jakarta Indonesia Information Systems Management Department BINUS Graduate Program - Master of Information Systems Management Bina Nusantara University Jakarta11480 Indonesia

Understanding learning culture based on learning activities is important for learning success in an e-Learning. As an effort that can be done for this purpose, it is necessary to build a student learning culture based on students activities. The study proposes a Cultural Framework for Learning in an E-Learning. It is called E-LEEP Culture because used in an e-Learning the Equality Education Program (E-LEEP). This framework has five key components, namely: Students, E-LEEP, Learning Activities, Learning Culture, and Digital Contents. Learning culture component in E-LEEP Culture Framework consists of sharing activities, getting information, discussingIndividualistic Learning, Collaborative Learning, Learning Time (learn a little), and Learning Time (learn a lot). Each of the components is expected as a basis for providing learning material that suits the needs of students. © 2019 Published under licence by IOP Publishing Ltd.

关键词： E-learning

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PerFail 2024: Third International Workshop on Negative Results in Pervasive Computing - Welcome and Committees

2024 IEEE International Conference on Pervasive Computing an...

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2024 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2024 2024年 38-39页

作者： Peltonen, Ella Mohan, Nitinder Zdankin, Peter Josten, Malte Shreedar, Tanya Shreedhar, Tanya Bayhan, Suzan Berrocal, Javier Chakraborty, Sandip Crowcroft, Jon Ding, Aaron Yi Ferlin, Simone Gasser, Oliver Holz, Ralph G. Kangasharju, Jussi Kolcun, Roman Nicklas, Daniela Ott, Jörg Schiele, Gregor Sigg, Stephan Solmaz, Gürkan Eleni, Eirini Weis, Torben University of Oulu Finland Technical University of Munich Germany University of Duisburg-Essen Germany University of Edinburgh United Kingdom University of Edinburgh United Kingdom University of Twente Netherlands University of Extremadura Spain Indian Institute of Technology Kharagpur India University of Cambridge United Kingdom TU Delft University of Helsinki Netherlands Red Hat and Karlstad University Sweden Max Planck Institute for Informatics Germany University of Münster Germany University of Helsinki Finland University of Bamberg Faculty Information Systems and Applied Computer Science Germany Technische Universität München Germany Aalto University Finland NEC Laboratories Europe Germany Tsiropoulou University of New Mexico United States Universität Duisburg-Essen Germany

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Recording provenance of workflow runs with RO-Crate

arXiv

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arXiv 2023年

作者： Leo, Simone Crusoe, Michael R. Rodríguez-Navas, Laura Sirvent, Raül Kanitz, Alexander De Geest, Paul Wittner, Rudolf Pireddu, Luca Garijo, Daniel Fernández, José M. Colonnelli, Iacopo Gallo, Matej Ohta, Tazro Suetake, Hirotaka Capella-Gutierrez, Salvador de Wit, Renske Kinoshita, Bruno P. Soiland-Reyes, Stian CA Pula Italy Vrije Universiteit Amsterdam Amsterdam Netherlands DTL Projects Netherlands Forschungszentrum Jülich Germany Barcelona Supercomputing Center Barcelona Spain Biozentrum University of Basel Basel Switzerland Swiss Institute of Bioinformatics Lausanne Switzerland VIB Data Core Gent Belgium Faculty of Informatics Masaryk University Brno Czech Republic Institute of Computer Science Masaryk University Brno Czech Republic BBMRI-ERIC Graz Austria Ontology Engineering Group Universidad Politécnica de Madrid Madrid Spain Computer Science Department Università degli Studi di Torino Torino Italy Database Center for Life Science Joint Support-Center for Data Science Research Research Organization of Information and Systems Shizuoka Japan Institute for Advanced Academic Research Chiba University Chiba Japan Sator Incorporated Tokyo Japan Department of Computer Science The University of Manchester Manchester United Kingdom Informatics Institute University of Amsterdam Amsterdam Netherlands

Recording the provenance of scientific computation results is key to the support of traceability, reproducibility and quality assessment of data products. Several data models have been explored to address this need, providing representations of workflow plans and their executions as well as means of packaging the resulting information for archiving and sharing. However, existing approaches tend to lack interoperable adoption across workflow management systems. In this work we present Workflow Run RO-Crate, an extension of RO-Crate (Research Object Crate) and *** to capture the provenance of the execution of computational workflows at different levels of granularity and bundle together all their associated objects (inputs, outputs, code, etc.). The model is supported by a diverse, open community that runs regular meetings, discussing development, maintenance and adoption aspects. Workflow Run RO-Crate is already implemented by several workflow management systems, allowing interoperable comparisons between workflow runs from heterogeneous systems. We describe the model, its alignment to standards such as W3C PROV, and its implementation in six workflow systems. Finally, we illustrate the application of Workflow Run RO-Crate in two use cases of machine learning in the digital image analysis domain. © 2023, CC BY.

关键词： Workflow management

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