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7th IEEE World Forum on Internet of Things, WF-IoT 2021

作者： Manjunath, Yoga Suhas Kuruba Zhao, Sihao Zhang, Xiao-Ping Ryerson University Department of Electrical Computer and Biomedical Engineering Canada

ISBN: (纸本)9781665444316

The plethora of Internet of Things (IoT) devices leads to explosive network traffic. The network traffic classification (NTC) is an essential tool to explore behaviours of network flows, and NTC is required for Internet service providers (ISPs) to manage the performance of the IoT network. We propose a novel network data representation, treating the traffic data as a series of images. Thus, the network data is realized as a video stream to employ time-distributed (TD) feature learning. The intra-temporal information within the network statistical data is learned using convolutional neural networks (CNN) and long short-term memory (LSTM), and the inter pseudo-temporal feature among the flows is learned by TD multi-layer perceptron (MLP). We conduct experiments using a large data-set with more number of classes. The experimental result shows that the TD feature learning elevates the network classification performance by 10%. © 2021 IEEE.

关键词： Long short-term memory

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Model-based thermal fault detection in Li-ion batteries using a set-based approach*

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IFAC-PapersOnLine 2022年第6期55卷 329-334页

作者： Giacomo Saccani Diego Locatelli Angelo Tottoli Davide M. Raimondo Department of Electrical Computer and Biomedical Engineering University of Pavia Italy

Li-ion batteries suffer from reliability issues due to thermal instability. For this reason, it is important to design suitable Battery Management Systems (BMSs) able to enhance safety and guarantee high battery performance. In this paper we address the problem of detection of thermal faults within a Li-ion cell using a set-based fault detection scheme where unknown but bounded uncertainties are considered. In particular, an equivalent circuit model (ECM) is used for state estimation taking into account bounded parametric uncertainties and measurement noise. The proposed method relies on constrained zonotopes (CZ), a set representation useful for performing standard operations with a lower computational effort with respect to polytopes. Numerical simulations highlight the effectiveness of the proposed approach in detecting thermal faults at an early stage and show the benefits when compared to an interval based method relying on inclusion functions and constraint propagation

关键词： Fault detection Li-ion batteries set-membership estimation

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Discrete Hilbert Transform via Memristor Crossbars for Compact Biosignal Processing 16

Discrete Hilbert Transform via Memristor Crossbars for Compa...

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16th IEEE International Conference on Application of Information and Communication Technologies, AICT 2022

作者： Zhang, Lei Yang, Zhuolin Aras, Kedar Efimov, Igor R. Adam, Gina C. The George Washington University Department of Electrical and Computer Engineering WashingtonDC20052 United States The Georgre Washington University Department of Biomedical Engineering WashingtonDC20052 United States Northwestern University Department of Biomedical Engineering EvanstonIL60208 United States

ISBN: (纸本)9781665451628

The Hilbert transform is widely used in biomedical signal processing and requires efficient implementation. We propose the implementation of the discrete Hilbert transform based on emerging memristor devices. It uses two matrix multiplication layers using weights programmed in the memristor array and a linear Hadamard product calculation layer mappable to CMOS. The functionality was tested on a dataset of optical cardiac signals from the human heart. The results show negligible © 2022 IEEE.

关键词： Memristors

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Real Time Chest X-Ray Interpretation Applying Vision Transformer for Tuberculosis Detection

Real Time Chest X-Ray Interpretation Applying Vision Transfo...

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International Conference on computer engineering, Network and Intelligent Multimedia (CENIM)

作者： Muhammad Irhamsyah Roslidar Yunidar M. Al Lail Qadrillah Nasaruddin Fitri Arnia Khairul Munadi Post Graduate Program in Engineering Universitas Syiah Kuala Banda Aceh Indonesia Department of Electrical and Computer Engineering Faculty of Engineering Universitas

ISBN: (数字)9798350368802

ISBN: (纸本)9798350368819

Tuberculosis (TB) is an infectious disease that can attack the lungs and other organs. In the diagnosis of TB, the interpretation of X-ray radiological images requires special skills from medical specialists. However, the lack of experience of medical personnel and focus on X-ray examinations can be a challenge for radiologists because it has the potential to cause diagnostic errors in image interpretation. Therefore, we proposed a web-based application of real-time chest X-ray interpreter by integrating the deep learning model of Vision Transformer (ViT) to interpret chest X-ray images. The inference model was trained and tested on 652 normal and 652 tuberculosis X-ray images. The data preprocessing of Contrast Adaptive Histogram Equalization (CLAHE) was implemented to increase chest X-ray image contrast as well as inference model performance. The proposed real time system can inteprete the tested chest x-ray images with an accuracy of 95% and with simulation duration time of 4.7 seconds.

关键词： Adaptation models computer vision Accuracy Sensitivity Tuberculosis Data preprocessing Transformers Real-time systems X-ray imaging Medical diagnostic imaging

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Omega-3 in the Subjective Betterment of Mood and Sleep Disturbances Induced by Hormone Therapy in Women with Breast Cancer: A Pilot, Randomized, Double-Blinded, Placebo-Controlled Clinical Trial

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Sleep and Vigilance 2024年第1期8卷 39-47页

作者： Nourozi, Behzad Naghsh, Erfan zadeh, Sahar Esmaeil Mehrzad, Valiollah Darakhshandeh, Ali Moghaddas, Azadeh Department of Clinical Pharmacy and Pharmacy Practice Faculty of Pharmacy Isfahan University of Medical Sciences Isfahan Iran Department of Electrical Computer and Biomedical Engineering Toronto Metropolitan University Toronto Canada Department of Internal Medicine Oncology and Hematology Section Faculty of Medicine Isfahan University of Medical Sciences Isfahan Iran

Background: This study was performed to investigate the effect of omega-3 administration on the treatment of mood and sleep problem induced by menopausal complications due to hormone therapy in patients with breast cancer. Methods and Patients: A pilot, randomized, double-blinded and placebo-controlled clinical trial was designed in oncology-hematology outpatient’s clinic of Omid Hospital, Isfahan, Iran. First, 60 patients were screened by Hospital Anxiety and Depression Scale (HADS) for any non-identified baseline mood problems and then divided into either intervention group which received 2 g’ omega-3 daily for 4 weeks or placebo group which received identical supplement. Then, the patients were considered to assess by center for epidemiological studies—depression scale (CES-D), profile of mood states (POMS), and Pittsburgh sleep quality index (PSQI) questionnaires at the baseline and after 4-week follow-up. Results: The mean scores of CES-D (P = 0.002), POMS (P = 0.03), and PSQI (P = 0.04) were significantly lower in the intervention group than the control group. In the intervention group, mean scores of CES-D (P < 0.001), POMS (P < 0.001), and PSQI (P = 0.003) were significantly lower after intervention than pre-intervention. Mean changes in scores of CES-D (P = 0.01), POMS (P = 0.001), and PSQI (P = 0.02) were significantly higher in the intervention group than the control group. Conclusion: Our findings revealed that omega-3 supplementation have the potential to reduce mood problems complications induced by hormone therapy in breast cancer patients, and it could also improve sleep quality items in terms of subjective sleep quality, delay in falling asleep, sleep delay, and sleep disturbance. © The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd. 2023.

关键词： Breast cancer Mood problem Omega-3 Sleep quality

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Differentiating structure of in situ and ex situ formation of laser-induced graphene hybrids

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Rare Metals 2022年第9期41卷 3035-3044页

作者： Li-Bei Huang Wei-Hua Guo Le Cheng Jian-Jun Su Yun Song Fei-Jun Hu Ying Lo Law Zheng Yan Jian Lin Ru-Quan Ye State Key Laboratory of Marine Pollution Department of ChemistryCity University of Hong KongHong Kong999077China Department of Mechanical and Aerospace Engineering University of MissouriColumbiaMO65211USA Department of Biomedical Biological&Chemical EngineeringUniversity of MissouriColumbiaMO65211USA Department of Electrical Engineering and Computer Science University of MissouriColumbiaMO65211USA City University of Hong Kong Shenzhen Research Institute Shenzhen518057China

Laser-induced graphene(LIG)has been exploited in various fields,such as batteries,water treatment,and flexible actuators and sensors,with the advantages of ease in patternable fabrication and graphene/metal hybrid *** in situ method which includes a single lase step and the ex situ method which uses two lase steps are both widely implemented to synthesize graphene/metal ***,the differences in the structures and properties of the resulting hybrids are not fully ***,we investigate the advantages of ex situ and in situ methods for preparing LIG hybrids using NiFe/LIG as an *** morphology,elemental composition,resistance to strong acid,and application in electrocatalysis and dye adsorption of ex situ and in situ NiFe/LIG hybrids were systematically studied and ***-dispersive X-ray spectrometry(EDS)and vibrating sample magnetometry(VSM)results confirmed the structural differences between the NiFe/LIG *** nanoparticles are mostly wrapped by carbon layers in the in situ NiFe/LIG hybrid,while the ex situ NiFe/LIG hybrid largely exposes the metal *** structural differences are significant for tailoring performance in applications,such as wastewater treatment and *** work provides insights into the synthesis and properties of LIGs and has important implications for future applications.

关键词： Ex situ In situ Laser-induced graphene Metal-containing hybrids Oxygen evolution reaction Dye adsorption

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Cloud-Native Mobile Application Applied for Law and Regulations Harmonization 3

Cloud-Native Mobile Application Applied for Law and Regulati...

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3rd International Conference on Intelligent Cybernetics Technology and Applications, ICICyTA 2023

作者： Al Qausar, Muhammad Juan Heryadi, Yaya Lukas, Lukas Suparta, Wayan Sonata, Ilvico Doctor of Computer Science Bina Nusantara University Binus Graduate Program Computer Science Department Jakarta Indonesia Jakarta Indonesia Institut Teknologi Nasional Yogyakarta Faculty of Industrial Technology Department of Electrical Engineering Yogyakarta Indonesia

ISBN: (纸本)9798350394559

Navigating the complex legal and regulatory landscape requires a sophisticated platform that is not only comprehensive but also user-friendly and enables seamless analysis and document comparison in the legal realm. To address this challenging requirement, this research is dedicated to the user experience (UX) design of state-of the-art cloud-native mobile applications specifically designed for legal and regulatory harmonization. The methodology used is based on design thinking principles and takes advantage of the benefits of cloud computing. These include, but are not limited to, scalability, reliability, and security. The result is a solution that is not only powerful but also cost-effective. The core of this application follows a user-centered design philosophy and involves potential users closely in the design process. A comprehensive evaluation is performed using the System Usability Scale (SUS) methodology to measure the effectiveness and usability of the application. The results of this comprehensive approach are convincing. The application has an impressive 95.5% usage rate, indicating strong user engagement. Furthermore, user satisfaction ratings are particularly high and transformative impact of this application in a complex environment of legal harmonization. Through its innovative design, seamless functionality, and user-centric approach, this application has proven to be not only a technical solution, but also a catalyst for positive change in the legal and regulatory harmonization process. © 2023 IEEE.

关键词： Cost effectiveness

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Optical Power Splitters for Integrated Multimode Photonics

Optical Power Splitters for Integrated Multimode Photonics

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2023 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2023

作者： Haines, Jack Vitali, Valerio Petropoulos, Periklis Lacava, Cosimo Bottrill, Kyle Gandolfi, Marco De Angelis, Costantino Franz, Yohann Guasoni, Massimiliano Optoelectronics Research Centre University of Southampton SouthamptonSO17 1BJ United Kingdom Department of Electrical Computer and Biomedical Engineering University of Pavia Pavia27100 Italy CNR-INO Department of Information Engineering University of Brescia Italy

ISBN: (纸本)9798350345995

Optical power splitters are key components in photonics, in the case of integrated circuits, current technology is mainly based on cascaded Y-splitters and multimode interference (MMI) devices. Cascaded Y-splitters stand out for broadband operation and a relatively simple design but suffer from large footprints and limited flexibility in terms of splitting ratio. MMIs typically exhibit a smaller footprint but have a reduced bandwidth compared to Y-splitters, a complex design is also required to achieve arbitrary splitting. © 2023 IEEE.

关键词： Photonics

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Image Enhancement Algorithm for Liver CT Scan using Digital Image Processing 23

Image Enhancement Algorithm for Liver CT Scan using Digital ...

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Proceedings of the 2023 6th International Conference on Digital Medicine and Image Processing

作者： Noel B. Linsangan Melissa B. Martin Jose Lorenzo I. Cacnio Jenn-Lung Su School of Electrical Electronics and Computer Engineering Mapua University Philippines Department of Biomedical Engineering Chung Yuan Christian University Taiwan

ISBN: (纸本)9798400709425

Image Enhancement is defined as the process of improving the quality of a digitally-stored image by manipulating it by means of image processing. Image enhancement is often applied in various images such as a Computed Tomography scan, a medical image employing tomography created by computer processing. The image produced in these scans are grayscale in nature and requires a much simpler image processing technique compared to colored images. The techniques that will be used for the enhancement of a Liver CT scan shall follow the standards of “Digital Image Processing” and shall be coded in computer programming software (Borland C++ Builder 6). Digital image processing is the use of computer algorithms to perform image processing on digital images, the word algorithm being a series of steps, reoccurring or not. This research will demonstrate and describe in detail the different algorithms that were applied (e.g. grayscale transformation, histograms, histogram equalization, etc.) and the resulting recommended algorithm that will be used to reduce the noise of a liver CT scan image.

关键词： Algorithm CT scan Digital Image Processing Liver Mean Filter

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Rapid Drought Stress Detection in Plants Using Bioimpedance Measurements and Analysis

IEEE Transactions on AgriFood Electronics

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IEEE Transactions on AgriFood Electronics 2023年第2期1卷 135-144页

作者： Reynolds, James Taggart, Matt Martin, Devon Lobaton, Edgar Cardoso, Amanda Daniele, Michael Bozkurt, Alper Nc State University Department of Crop and Soil Sciences RaleighNC27606-3294 United States Nc State University Department of Electrical and Computer Engineering RaleighNC27606-3294 United States University of North Carolina at Chapel Hill Nc State University Joint Department of Biomedical Engineering RaleighNC27606-3294 United States

Smart farming is the targeted use of phenotyping for the rapid, continuous, and accurate assessment of plant health in the field. Bioimpedance monitoring can play a role in smart farming as a phenotyping method, which is now accessible thanks to recent efforts to commoditize and miniaturize electronics. Here, we demonstrate that bioimpedance measurements reflect the physiological changes in live plant tissue with induced alterations in their environmental conditions. When plants were exposed to -1.0 MPa polyethylene glycol, to simulate drought conditions, the extracellular resistance was observed to increase prior to the intercellular resistance, where the low frequency bioimpedance measurements increased by 25% within one hour. Similar patterns were observed when drought stress was applied to the plants by water withholding, with a bioimpedance increase within a matter of a few hours. The bioimpedance measurements were also compared with leaf relative water content, imaging, and field transpirable soil water, which reinforced these findings. These preliminary results suggest that bioimpedance can function as a phenotyping tool for continuous and real time monitoring of plant stress to allow the development of strategies to prevent damage from environmental stresses such as drought. © 2023 IEEE.

关键词： Drought

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