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检索条件"任意字段=11th International Conference on Computer-Aided Design and Computer Graphics"

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Automatic Oxygen Flow Regulated Non- Invasive Ventilator with Vital Sign Monitoring System

Automatic Oxygen Flow Regulated Non- Invasive Ventilator wit...

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international conference on Information Technology, computer and Electrical Engineering (ICITACEE)

作者： Md. Sayzar Rahman Akash Rethwan Faiz Nuzat Nuary Alam Mohammad Hasan Imam Department of Electrical and Electronic Engineering American International University-Bangladesh (AIUB) Dhaka Bangladesh

ISBN: (数字)9798350389302

ISBN: (纸本)9798350389319

Mechanical ventilators emerged throughout the 19th century as the key tool to assist physicians & medical personnel to give effective life-saving treatment. Rapidly evolving situations like the COVID-19 pandemic led to a shortage of ventilators and oxygen supplies. On top of that, conventional ventilators don't come cheap, and ever since, the demand for medical oxygen supplies has skyrocketed; especially in least developed & developing countries. this paper proposes a non-invasive electromechanical ventilator design and hardware prototype that can save oxygen by controlling the inspiratory to expiratory time (I:E ratio) using an on-off or proportional solenoid valve. the proposed ventilator prototype utilizes the patient's oxygen saturation level (SpO2) and respiratory rate (RR) to determine the suitable I:e ratio. the SpO2 level is measured from a photoplethysmography (PPG) signal using a pulse oximeter sensor. the respiratory rate is obtained from the impedance pneumography technique using single channel two-terminal measurement. ECG data is also acquired from the same arrangement, which can record heart rate alongside a pulse oximeter. Besides these, the temperature sensor acquires body temperature information to monitor the patient's health status. the prototype is intended to be used as an in-house non-invasive ventilator which has an oxygen-saving capability with a vital sign monitoring system.

关键词： Temperature measurement Temperature sensors COVID-19 Ventilators Pulse oximeter Pandemics Prototypes Ventilation Valves Monitoring

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A Digital Controlled of Duty-ratio Feedforward for Four-level Flying Capacitor Boost PFC

A Digital Controlled of Duty-ratio Feedforward for Four-leve...

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international conference on Power Electronics (ICPE)

作者： Yu-Chen Chung Hung-Yu Wang Huang-Jen Chiu Yu-Chen Liu Yi-Feng Lin Department of Electronic and Computer Engineering National Taiwan University of Science and Technology Taipei Taiwan Department of Electrical Engineering National Taipei University of Technology Taipei Taiwan Department of Electrical Engineering National Ilan University Ilan Taiwan

this paper proposes a flying capacitor multilevel (FCML) power factor correction (PFC) with phase-shifted pulse width modulation (PSPWM) technology to achieve voltage balance of the flying capacitors and increase the equivalent frequency of the inductor. Under the rated current ripple, a smaller inductance can be used to reduce the size of the inductor. With an FCML architecture design, the voltage rating of the power devices can be reduced, which decreases the switching loss. Based on PSPWM control, the small-signal model is a detailed analysis, and the compensator is designed considering the phase delay caused by digital control. the duty-ratio feedforward (DFF) control reduces the harmonic distortion of the inductor current. Finally, the 350 W four-level flying capacitor boost PFC with DFF control is implemented with an inductor current frequency of 500 kHz, an input voltage of 90-264 Vac, and an output voltage of 390 V.

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Energy-Efficient Asynchronous MAC Protocol for WSNs with Energy Harvesters

Energy-Efficient Asynchronous MAC Protocol for WSNs with Ene...

引用

international conference on Systems and Control (ICSC)

作者： Abdelmalek Bengheni Computer Science Department Faculty of Math/CS Laboratory of Research in Artificial Intelligence and Systems (LRAIS) Ibn Khaldoun University Tiaret Algeria

the energy efficiency significance in wireless sensor networks (WSNs) is well understood. An increase in energy efficiency is necessary while also improving WSN performance, particularly latency. A well-liked protocol design idea is the sacrifice of different performance metrics for energy, such as throughput. therefore, in order to save energy inside a WSN with energy harvesters, this article proposes an asynchronous MAC protocol named (Harvested Energy Efficient MAC (HEE-MAC)). By transmitting Beacon messages, HEE-MAC takes use of receiver-initiated schemes where every sensor node within the WSN to determinate the length of its subsequent sleep to optimize its duty-cycle by taking advantage of the remaining energy it has, which may rise as time progresses, in addition using the energy threshold. Furthermore, HEE-MAC enables WSN to perform well in low energy harvesting scenarios. We performed simulations using OMNeT++/MiXiM and compared this to the current energy harvesting management technique, such as EH2M, in order to demonstrate that our solution, HEE-MAC, will truly increase the WSN performances. the outcomes of the simulation show that HEE-MAC provides low latency and saves more energy than EH2M.

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ArmorNet: Animated Cartoon Pornography Detection Using Transformer Network

ArmorNet: Animated Cartoon Pornography Detection Using Trans...

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Electronics, Communications, and Computations (JAC-ECC), international Japan-Africa conference on

作者： Mahmoud Taha Abdulwahab Al-Sammak Shady Y. Elmashad Ahmed B. Zaky Faculty of Engineering at Shoubra Egypt Computer Science and Information Technology Programs (CSIT) Benha University Egypt Japan University of Science and Technology

the management of inappropriate video content has become a critical issue in today's society, amplified by the internet's extensive accessibility. the control of sensitive material, such as explicit content and adult scenes, holds significant importance. Although advancements in machine learning and neural networks have enabled the creation of models to filter explicit content in movies, these methods might prove inadequate for efficiently filtering cartoon movies for children. this inadequacy stems from the differing criteria required for filtering content meant for children versus adults, with distinct parameters for age groups. To address this disparity, ArmorNet, a deep neural network model, has been proposed and compared against ResNet in a study that evaluated classification accuracy on Danbooru2020, a recognized dataset of animated cartoon images. this comparison highlights ArmorNet's superior performance and efficiency, despite the substantial computational resources needed for training. Notably, ArmorNet's lightweight design prioritizes classification accuracy, rendering it suitable for low-resource devices like mobile phones and gaming consoles.

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A High-Frequency Transformer design with Leakage Integration for Auxiliary Power Supply in Railway Application

A High-Frequency Transformer Design with Leakage Integration...

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international conference on Power Electronics (ICPE)

作者： Zheqing Li Feng Jin Chunyang Zhao Eric Hsieh Qiang Li Bradley Department of Electrical and Computer Engineering Center for Power Electronic Systems Virginia Polytechnic and State University Blacksburg VA USA

DC-DC converters are a critical component for the auxiliary power supplies in railway applications to regulate wide range input voltage. With the power consumption increasing, the momentum toward high-power high-density continues unbated. the key to shrink the converter size is high-frequency operation. the bottleneck is the magnetic component, especially for the high-power converters. With wide-band gap (WBG) devices, frequency can be hundreds of kilohertz level, which can reduce the transformer volume significantly. By adopting the shorting control for gain boost, only a small resonant inductance is required to handle the wide input voltage. the low inductance provides the opportunity to integrate the resonant inductor into the transformer to further reduce the size of magnetic components. In this paper, a novel transformer is proposed with the integration of additional leakage inductor for resonance with evenly distributed core loss, and no sacrifice the winding loss and. A 30-kW 100-kHz prototype with 2.4 kW/L power density is built to verify the feasibility of the proposed transformer, whose peak efficiency reaches 99.2%.

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Population design for Synthetic Gene Circuits 1

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19th international conference on Computational Methods in Systems Biology (CMSB)

作者： Turpin, Baptiste Bijman, Eline Y. Kaltenbach, Hans-Michael Stelling, Jorg Swiss Fed Inst Technol Dept Biosyst Sci & Engn D BSSE CH-4058 Basel Switzerland Swiss Fed Inst Technol SIB Swiss Inst Bioinformat CH-4058 Basel Switzerland

ISBN: (数字)9783030856335

ISBN: (纸本)9783030856328;9783030856335

Synthetic biologists use and combine diverse biological parts to build systems such as genetic circuits that perform desirable functions in, for example, biomedical or industrial applications. computer-aided design methods have been developed to help choose appropriate network structures and biological parts for a given design objective. However, they almost always model the behavior of the network in an average cell, despite pervasive cell-to-cell variability. Here, we present a computational framework to guide the design of synthetic biological circuits while accounting for cell-to-cell variability explicitly. Our design method integrates a NonLinear Mixed-Effect (NLME) framework into an existing algorithm for design based on ordinary differential equation (ODE) models. the analysis of a recently developed transcriptional controller demonstrates first insights into design guidelines when trying to achieve reliable performance under cell-to-cell variability. We anticipate that our method not only facilitates the rational design of synthetic networks under cell-to-cell variability, but also enables novel applications by supporting design objectives that specify the desired behavior of cell populations.

关键词： Cell-to-cell variability Synthetic biology computer-aided design

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What 'Work' Can Dataviz Do in Popular Science Communication? 15

What 'Work' Can Dataviz Do in Popular Science Communication?

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15th international Joint conference on computer Vision, Imaging and computer graphics theory and Applications (VISIGRAPP) / 11th international conference on Information Visualization theory and Applications (IVAPP)

作者： Engebretsen, Martin Univ Agder Dept Nordic & Media Studies Univ Veien 25 Kristiansand Norway

ISBN: (纸本)9789897584022

Data visualizations have proliferated on public arenas for information and communication - in journalism, PR and governmental information as well as in popular science communication (PSC). In the existing literature on PSC, simplicity, relevance and trust are identified as critical factors for the communication to succeed. this position paper argue that data visualizations represent a semiotic resource with unique potentials regarding all of these criteria. the paper aims at presenting a theoretical and methodological framework for studying data visualizations applied in popular science discourses. the main goals are a) to introduce social semiotics as an advanced analytical tool for the scrutiny of data visualizations, b) to introduce PUS (Public understanding of science) as a field relevant for empirical studies of data visualization, and c) to present a method of analysis combining a small scale corpus analysis with multimodal close reading of selected visualizations.

关键词： Data Visualization Popular Science Communication Social Semiotics Discourse Analysis design Practices

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Intelligent Control of Air Combat Maneuvers Using Fuzzy Logic

Intelligent Control of Air Combat Maneuvers Using Fuzzy Logi...

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Mechatronics and Robotics Engineering (ICMRE), international conference on

作者： Mohanad A. Deif Mohamed A. Hafez Hani Attar S.F. Rezeka T. Awad E.M. Attia M.B. Badawi Research Institute of Sciences and Engineering University of Sharjah United Arab Emirates Faculty of Engineering FEQS INTI-IU Universi Nilai Malaysia Department of Energy Engineering Zarqua University Zarqa Jordan College of Engineering University of Business and Technology Jeddah Saudi Arabia Mechanical Engineering Department Faculty of Engineering Alexandria University Alexandria Egypt Department of Mechanical Engineering Faculty of Engineering Alexandria University Alexandria Egypt Mechanical Engineering Department Faculty of Engineering Alexandria University El-Chatby Alexandria Egypt Department of Computer Science Faculty of Computer Science and Engineering King Salman International University (KSIU) Egypt

ISBN: (数字)9798331509293

ISBN: (纸本)9798331509309

With the expanding capabilities of fighter aircraft in gauging their targets with great accuracy, comes the necessity that fighter pilots possess higher talents in making the correct decision. Because human error is frequently a barrier to making precise and timely decisions, a control mechanism is required to regulate the trajectory of aircraft during combat maneuvers. In this paper, a combat-maneuver fuzzy program is developed and applied to the inverse kinematics of the F-16 aircraft. the program produces a new path for the plane to achieve the maneuver such that the minimum distance between the resulting path and the object aircraft path is larger than a specified distance (critical distance). Also, spatial defensive maneuvers against spatial offensive maneuvers of bandits were realized, accordingly, this research emphasizes the importance of process innovation in the design of adaptive air combat control systems, enabling more effective response strategies.

关键词： Fuzzy logic Technological innovation Process control Turning Reliability engineering Prediction algorithms Trajectory Aircraft Robots Aerospace control

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DYPLOC: Dynamic planning of content using mixed language models for text generation 59

DYPLOC: Dynamic planning of content using mixed language mod...

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Joint conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th international Joint conference on Natural Language Processing, ACL-IJCNLP 2021

作者： Hua, Xinyu Sreevatsa, Ashwin Wang, Lu Khoury College of Computer Sciences Northeastern University BostonMA United States Computer Science and Engineering University of Michigan Ann ArborMI United States

ISBN: (纸本)9781954085527

We study the task of long-form opinion text generation, which faces at least two distinct challenges. First, existing neural generation models fall short of coherence, thus requiring efficient content planning. Second, diverse types of information are needed to guide the generator to cover both subjective and objective content. To this end, we propose DYPLOC, a generation framework that conducts dynamic planning of content while generating the output based on a novel design of mixed language models. To enrich the generation with diverse content, we further propose to use large pre-trained models to predict relevant concepts and to generate claims. We experiment with two challenging tasks on newly collected datasets: (1) argument generation with Reddit ChangeMyView, and (2) writing articles using New York Times' Opinion section. Automatic evaluation shows that our model significantly outperforms competitive comparisons. Human judges further confirm that our generations are more coherent with richer content. © 2021 Association for Computational Linguistics

关键词： Computational linguistics

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11th international conference on computer Science and its Applications, CSA 2019 and 14th KIPS international conference on Ubiquitous Information Technologies and Applications, CUTE 2019

11th International Conference on Computer Science and its Ap...

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11th international conference on computer Science and its Applications, CSA 2019 and 14th KIPS international conference on Ubiquitous Information Technologies and Applications, CUTE 2019

ISBN: (纸本)9789811593420

the proceedings contain 81 papers. the special focus in this conference is on computer Science and its Applications. the topics include: Purchase Predictive design Using Skeleton Model and Purchase Record;preserving Sustainability for Mission-Oriented Cyber-Physical Systems Collaboration;A 3D Object Segmentation Method Using CCL Algorithm for LiDAR Point Cloud;a Real-Time Human Posture Recognition System Using Internet of things (IoT) Based on LoRa Wireless Network;mobile Charger Planning for Wireless Rechargeable Sensor Network Based on Ant Colony Optimization;deep Learning Based Malware Analysis;CNN-GRU-Based Feature Extraction Model of Multivariate Time-Series Data for Regional Clustering;DNN-Based Mutual Satisfaction Prediction Model for Matching Between Users;an Approach to Improving Software Security through Access Control for Data in Programs;implementation of a Container-Based Interactive Environment for Big-Data Analysis on Supercomputer;inflight Tracking Method with Beacon System and Scouting Drone;intelligent Digital Signage Using Deep Learning Based Recommendation System in Edge Environment;deep Learning Based Character Recognition Platform in Complex Situations;design of Restricted Coulomb Energy Neural Network Processor for Multi-modal Sensor Fusion;Low Complexity Pipelined FFT Processor for Radar Applications;dynamic Mitigation of Catastrophic Forgetting Using the Sampling Network;A Study on the Implementation of GRU Autoencoder Model for Detecting Insider Anomaly Behavior;blockchain Based Authentication Method for thingsBoard;Secure Management of Patient Medical Data Using QR Code and CP-ABE;restore Fingerprints Using Pix2Pix;web Site Usage History Management System Using Blockchain;performance Analysis of Single-Pulse Modulation in Factory Environment Based on LiFi Standard;Generation of Fake Iris Images Using CycleGAN.

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