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Development of handheld near-infrared spectroscopic medical imaging system

Development of handheld near-infrared spectroscopic medical ...

Bio-Optics: Design and Application, BODA 2019 - Part of Biophotonics Congress: Optics in the Life sciences Congress 2019

作者： Saikia, Manob Jyoti Kanhirodan, Rajan Dept. of Physics Indian Institute of Science Bangalore560012 India Dept. of Electrical Computer and Biomedical Engineering University of Rhode Island KingstonRI02881 United States

We present a handheld near-infrared spectroscopic imaging system. The system has a sensor pad and a controller for the high-speed 3D imaging of tissue wirelessly. Experimental results on a phantom prove working of the... 详细信息

ISBN: (纸本)9781943580545

关键词： Infrared devices

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NEUROMORPHIC IMAGING FLOW CYTOMETRY COMBINED WITH ADAPTIVE RECURRENT SPIKING NEURAL NETWORKS

arXiv

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arXiv 2025年

作者： Moustakas, Georgios Tsilikas, Ioannis Bogris, Adonis Mesaritakis, Charis University of West Attica Dept. of Informatics and Computer Engineering Aghiou Spiridonos Egaleo Athens12243 Greece Department of Physics School of Applied Mathematical and Physical Sciences Zografou Campus Athens157 80 Greece Department of Biomedical Engineering University of West Attica Aghiou Spiridonos Egaleo Athens12243 Greece

We present an experimental imaging flow cytometer using a 1 μs temporal resolution event-based CMOS camera, with data processed by adaptive feedforward and recurrent spiking neural networks. Our study classifies PMMA particles (12, 16, 20 μm) flowing at 0.7 m/s in a microfluidic channel. Processing of experimental data highlighted that spiking recurrent networks, including LSTM and GRU models, achieved 98.4% accuracy by leveraging temporal dependencies. Additionally, adaptation mechanisms in lightweight feedforward spiking networks improved accuracy by 4.3%. This work outlines a technological roadmap for neuromorphic-assisted biomedical applications, enhancing classification performance while maintaining low latency and sparsity. Copyright © 2025, The Authors. All rights reserved.

关键词： Flow cytometry

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Integrated Software Development Methodology for Real-time Precise Control of UAV

Integrated Software Development Methodology for Real-time Pr...

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2019 International Conference on Advanced Material Research and Processing Technology, AMRPT 2019

作者： Park, Jung Kyu Park, Eun Young Jeon, Heung Seok Dept. of Computer Software Engineering Changshin Univ. Changwon-si Korea Republic of Dept. Biomedical Laboratory Science Shinhan University Uijeongbu-si Korea Republic of Dept. of Computer Engineering Konkuk University Chungju-si Korea Republic of

Recently, drones have been widely used in education and industry. In this paper, we propose a navigation and control algorithm to develop unmanned drones quickly. To limit the proposed framework, we analysed the existing drone solution and simulation framework. We also used Hardware-in-the-Loop (HIL) simulation for rapid development. HIL will simulate physical systems that interface with embedded control equipment on real-time hardware. The code generated in this process can be experimented on a hardware device so that the control performance of the drones can be verified without draining the drones in the outdoor environment. Using the proposed method, you save time and money on drone development while providing stability. © 2019 Published under licence by IOP Publishing Ltd.

关键词： Drones

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ETHER: A 6G Architectural Framework for 3D Multi-Layered Networks

ETHER: A 6G Architectural Framework for 3D Multi-Layered Net...

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IEEE Conference on Wireless Communications and Networking

作者： K. Ntontin L. Tomaszewski J. A. Ruiz-de-Azua A. Cárdenas R. Pueyo Centelles C.-K. Lin A. Mesodiakaki A. Antonopoulos N. Pappas M. Fiore S. Aguilar S. Watts P. Harris A. R. Santiago F. Lazarakis M. Calisti S. Chatzinotas SnT University of Luxembourg Luxembourg Orange Polska S.A. Warszawa Poland i2CAT Foundation Barcelona Spain Collins Aerospace Penrose Wharf Business Centre Cork Ireland Department of Informatics Aristotle University of Thessaloniki Thessaloniki Greece Nearby Computing Barcelona Spain Dept. of Computer and Information Science Linköping University Sweden Net AI Scotland UK Sateliot Barcelona Spain Avanti Communications London UK Ubiwhere Aveiro Portugal National Centre for Scientific Research “Demokritos” Agia Paraskevi Greece Martel Innovate Dübendorf Switzerland

ISBN: (数字)9798350303582

ISBN: (纸本)9798350303599

Due to the fact that large swathes on Earth still lack broadband communication coverage, especially in remote/rural areas and developing countries, there have been several attempts, starting from 3GPP Release 17, to lay out the architectural amendments needed for the integration of terrestrial networks with their non-terrestrial counterparts. Such attempts have led to recent projects regarding such integration that consider either 5G/5G-Advanced networks or more revolutionary approaches for the forthcoming 6G networks. In this manuscript, we give an overview of the architectural framework, technical innovations, and considered use cases of the Horizon Europe ETHER project.

关键词： 6G mobile communication Earth Technological innovation Three-dimensional displays Europe Developing countries Broadband communication

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A multidisciplinary definition of privacy labels: The story of princess privacy and the seven helpers

arXiv

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arXiv 2020年

作者： Johansen, Johanna Pedersen, Tore Fischer-Hübner, Simone Johansen, Christian Schneider, Gerardo Roosendaal, Arnold Zwingelberg, Harald Sivesind, Anders Jakob Noll, Josef Dept. of Informatics University of Oslo Norway Bjørknes University College Norway Dept. of Mathematics and Computer Science Karlstad University Sweden Norwegian University of Science and Technology Norway Dept. of Computer Science and Engineering University of Gothenburg Sweden Privacy Company Unabhängiges Landeszentrum für Datenschutz Schleswig-Holstein Dept. of Technology Systems University of Oslo Norway

Privacy is currently in distress and in need of rescue, much like princesses in the all-familiar fairytales. We employ storytelling and metaphors from fairytales to make reader-friendly and streamline our arguments about how a complex concept of Privacy Labeling (the ‘knight in shining armor’) can be a solution to the current state of Privacy (the ‘princess in distress’). We give a precise definition of Privacy Labeling (PL), painting a panoptic portrait from seven different perspectives (the ‘seven helpers’): Business, Legal, Regulatory, Usability and Human Factors, Educative, Technological, and Multidisciplinary. We describe a common vision, proposing several important ‘traits of character’ of PL as well as identifying ‘undeveloped potentialities’, i.e., open problems on which the community can focus. More specifically, this position paper identifies the stakeholders of the PL and their needs with regard to privacy, describing how PL should be and look like in order to address these needs. Throughout the paper, we highlight goals, characteristics, open problems, and starting points for creating, what we consider to be, the ideal PL. In the end we present three approaches to establish and manage PL, through: self-evaluations, certifications, or community endeavors. Based on these, we sketch a roadmap for future developments. © 2020, CC BY-NC-SA.

关键词： Data privacy

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Impact of artificial intelligence on employees performance in information technology sector

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AIP Conference Proceedings 2023年第1期2587卷

作者： P. Lalitha Kumari Jay Kumar Pandey Karunendra Verma G. Taviti Naidu Ankur Gupta Malik Bader Alazzam Dept. of Computer Science and Engineering Visakha Institute of Engineering & Technology 57th Division Narava Visakhapatnam Andhra Pradesh India Dept. of Electronics and Communication Engineering Shri Ramswaroop Memorial University Dewa Road Barabanki Uttar Pradesh India Chitkara University School of Engineering & Technology Chitkara University Himachal Pradesh India Dept. of Management Dr. L. Bullayya College Visakhapatnam Andhra Pradesh India Dept. of Computer Science and Engineering Vaish College of Engineering Rohtak Haryana India Faculty of Computer Science and Informatics Amman Arab University Amman Jordan

The focus of research is to propose smart approach to evaluate the performance of employees in IT sector. The research made use of artificial intelligence in order to fulfill the objectives. The different attributes that are influencing performance of employees are technical skill, salary, training, working environment, supervision, time schedule. A survey has been conducted where the ranking has been made considering votes of different employees in IT Company. Their person views are obtained considering influencing factors. The data set has been filtered using optimization mechanism and machine learning mechanism has been applied to train the network in order to predict the employee performance considering influencing factors. However there have been several existing researches but those research works have considered limited influencing factor. Moreover there is lack of machine learning approach that could provide suitable solution to build a mechanism that would be capable to design smart model considering influencing factors.

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THOR-SR: TGF and High-energy astrophysics Observatory for gamma-Rays on board the Space Rider

THOR-SR: TGF and High-energy astrophysics Observatory for ga...

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IEEE Symposium on Nuclear science (NSS/MIC)

作者： R. M. Curado Da Silva J. M. Maia J. R. Campos G. Falcão F. Pinheiro M. Abreu M. Caine P. Carmo M. Ferreira C. Francisco J. Gonçalves M. Letra M. Moita R. Moura A. Neves P. Póvoa J. Sousa A. Trindade C. Granja J. Jakubek F. Castanheira LIP - Laboratório de Instrumentação e Física Experimental de Partículas Coimbra Portugal Department of Physics University of Coimbra Coimbra Portugal Physics Department University of Beira Interior Covilhã Portugal Department of Informatics Engineering University of Coimbra Coimbra Portugal Department of Electrical and Computer Engineering University of Coimbra Coimbra Portugal University of Coimbra Geophysical and Astronomical Observatory Coimbra Portugal Dept. of Physics and Earth Science University of Ferrara Ferrara Italy ADVACAM s.r.o. Prague Czech Republic Active Space Technologies Coimbra Portugal

ISBN: (数字)9798350388152

ISBN: (纸本)9798350388169

THOR-SR (TGF and High-energy astrophysics Observatory for gamma-Rays on board the Space Rider) mission is a high-energy astrophysics pathfinder mission designed to explore a range of phenomena that includes gamma-ray astrophysics’ emissions, space weather and terrestrial gamma-ray flashes (TGFs). The mission’s scientific payload is based on CdTe and Si detectors with a large field of view (up to 2π sr) provided by a four-layer CdTe stack detector. The detector operates in the 0.1-10 MeV energy range and will be used to perform spectroscopy, imaging, time variability, and polarimetry. THOR prototype performance tests will be performed, presented and discussed. In particular, tests under ESRF polarized beam and ICNAS proton beam facilities, that will allow to validate THOR operation and performance potential during the Space Rider two months flight.

关键词： Particle beams Spectroscopy Observatories Astrophysics II-VI semiconductor materials Extraterrestrial phenomena Space missions

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Optimal Encoding and Decoding Algorithms for the RAID-6 Liberation Codes

Optimal Encoding and Decoding Algorithms for the RAID-6 Libe...

引用

International Symposium on Parallel and Distributed Processing (IPDPS)

作者： Zhijie Huang Hong Jiang Zhirong Shen Hao Che Nong Xiao Ning Li Dept. of Computer Science and Engineering University of Texas at Arlington Arlington USA School of Informatics Xiamen University Xiamen China School of Data and Computer Science Sun Yat-Sen University Guangzhou China

ISBN: (数字)9781728168760

ISBN: (纸本)9781728168777

RAID-6 is gradually replacing RAID-5 as the dominant form of disk arrays due to its capability of tolerating concurrent failures of any two disks, as well as the case of encountering an uncorrectable read error during recovery. Implementing a RAID-6 system relies on some erasure coding schemes, and so far the most representative solutions are EVENODD codes [1], RDP codes [2] and Liberation codes [3], none of which has emerged as a clear "all-around" winner. In this paper, we are interested in revealing the undiscovered potential of the Liberation codes, since these codes have the following attractive features: (a) they have the best update performance, (b) they have better scalability, and (c) they are open-sourced and publicly available, as well as the following drawbacks: fair encoding performance and, more importantly, relatively poor decoding performance. Specificly, we present novel optimal encoding and decoding algorithms for the Liberation codes by introducing an alternative, geometric presentation of these codes. The proposed algorithms completely eliminate redundant computations during the encoding and decoding procedures by extracting and reusing common expressions between the two types of parity constraints, and do not involve any matrix operations on which the original algorithms are based. Our experiment results show that compared with the original solution, the proposed encoding and decoding algorithms reduce the number of XOR's by up to 16 percent and 15 ~20 percent respectively, and the encoding and decoding throughputs are increased by 22.3 percent and at most 155 percent respectively. Moreover, the encoding complexity reaches the theoretical lower bound, while the decoding complexity is also very close to the theoretical lower bound.

关键词： Encoding Decoding Arrays Complexity theory Measurement Standards Reed-Solomon codes

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Cross-sectional and longitudinal Biomarker extraction and analysis for multicentre FLAIR brain MRI

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Neuroimage: Reports 2022年第2期2卷 100091-100091页

作者： DiGregorio, J. Gibicar, A. Khosravani, H. Maralani, P. Jabehdar Tardif, J.-C. Tyrrell, P.N. Moody, A.R. Khademi, A. Electrical Computer and Biomedical Engineering Dept. Ryerson University Toronto ON Canada Division of Neurology Department of Medicine University of Toronto Toronto ON Canada Department of Medical Imaging University of Toronto Toronto ON Canada Montreal Heart Institute Montreal QU Canada Department of Medicine Université de Montréal QU Canada Department of Statistical Science University of Toronto Toronto ON Canada Keenan Research Center for Biomedical Science St. Michael's Hospital Unity Health Network Toronto ON Canada Institute for Biomedical Engineering Science and Technology (iBEST) A Partnership Between St. Michael's Hospital and Ryerson University Canada

Fluid-attenuated inversion recovery (FLAIR) MRI has emerged as an important sequence for the analysis of cerebrovascular (CVD) and Alzheimer's disease (AD). Large-scale, automated cross-sectional and longitudinal cerebral biomarker extraction from FLAIR datasets could progress disease characterization, improve disease monitoring, and help to determine optimal intervention times. Despite this, most automated biomarker extraction algorithms are designed for T1-weighted or multi-modal inputs. In this work, automated tools were used to extract biomarkers from large, FLAIR-only datasets to evaluate the feasibility of this sequence to characterize healthy, AD, and CVD subjects in a similar manner to traditional approaches. Total brain volume (TBV), cerebrospinal fluid (CSF) volume, and white matter lesion (WML) volume was measured for the cross-sectional biomarkers and the corresponding annual rates of change over multiple scans represented the longitudinal biomarkers. Biomarkers were extracted from two dementia cohorts (4356 vol, 162 233 images) and one vascular disease cohort (869 vol, 42 850 images) using deep learning-based segmentation algorithms designed specifically for FLAIR. Biomarkers from all cohorts were summarized using descriptive statistics, correlation analysis, and ANCOVA to assess differences in diagnostic labels while accounting for demographic and acquisition factors. Biomarkers from FLAIR MRI had similar trends with those extracted from traditional modalities in the literature for characterizing healthy, AD, and CVD subjects. This demonstrates that FLAIR MRI can be used for end-to-end analysis of large AD and CVD datasets, which can lower acquisition costs, simplify clinical translation, and reduce measurement error associated with multi-modal approaches. © 2022 The Author(s)

关键词： Alzheimer's disease Cerebral biomarkers Cerebrovascular disease FLAIR MRI

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On the importance of AI research beyond disciplines

arXiv

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arXiv 2023年

作者： Dignum, Virginia Casey, Donal Cerratto-Pargman, Teresa Dignum, Frank Fantasia, Valentina Formark, Bodil Hammarfelt, Björn Holmberg, Gunnar Holzapfel, André Larsson, Stefan Lagerkvist, Amanda Lakemond, Nicolette Lindgren, Helena Lorig, Fabian Marusic, Ana Rahm, Lina Razmetaeva, Yulia Sikström, Sverker Tatar, Kıvanç Tucker, Jason Department of Computing Science Umeå University Sweden Department of Philosophy Lund University Sweden Department of Business Studies Uppsala University Sweden Dept. of Computer and Systems Sciences Stockholm University Sweden Umeå University Sweden Swedish School of Library and Information Science University of Borås Sweden Department of Management and Engineering Linköping University Sweden Division of Media Technology and Interaction Design KTH Sweden Department of Technology and Society Lund University Sweden Department of Informatics and Media Uppsala University Sweden Department of Computer Science and Media Technology Malmö University Sweden University of Split School of Medicine Split Croatia Department of Philosophy and History KTH Sweden Department of Law Uppsala University Sweden Department of Psychology Lund University Sweden Chalmers University of Technology Sweden Department of Global Political Studies Malmö University Sweden

As the impact of AI on various scientific fields is increasing, it is crucial to embrace interdisciplinary knowledge to understand the impact of technology on society. The goal is to foster a research environment beyond disciplines that values diversity and creates, critiques and develops new conceptual and theoretical frameworks. Even though research beyond disciplines is essential for understanding complex societal issues and creating positive impact it is notoriously difficult to evaluate and is often not recognized by current academic career progression. The motivation for this paper is to engage in broad discussion across disciplines and identify guiding principles fir AI research beyond disciplines in a structured and inclusive way, revealing new perspectives and contributing to societal and human wellbeing and sustainability. © 2023, CC BY.

关键词： Sustainable development

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