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检索条件"机构=Dept. of Computer and Electrical Engineering and Computer Science"

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Automated Identification of Pneumonia Employing Convolution Neural Networks and the VGG-16 Model

Automated Identification of Pneumonia Employing Convolution ...

引用

Computing, sciences and Communications (ICCSC), International Conference on

作者： Anamika Srivastava Anuj Gupta Deepti Kaushik Neha Gupta Shikha Chadha Rosey Chauhan Dept. of Computer Science & Engineering Noida Institute Of Engineering Technology Gerater Noida India Dept. of Computer Science & Engineering Sharda Unviersity Gerater Noida India Dept. of Computer Science and Engineering School of Engineering and Technology IIMT University Meerut U.P India Dept. of Computer Science ABES Engineering College Ghaziabad UP India

ISBN: (数字)9798350353648

ISBN: (纸本)9798350353655

Pneumonia, an inflammatory lung disease, impacts the small air sacs known as alveoli and is typically caused by the bacteria Streptococcus pneumonia. Symptoms commonly include a combination of productive or dry cough, chest pains, difficulty breathing, and fever. In India, where Covid-19 is prevalent, community-acquired pneumonia (CAP) poses a significant risk factor for mortality, accounting for one-third of fatalities, as reported by the World Health Organization (WHO).Diagnosing and predicting the outcome of pneumonia typically involves examining chest imaging radiographs of patients exhibiting clinically similar symptoms (e.g., fever, dyspnea, cough, and sputum production). Therefore, the development of an automated method for pneumonia detection could offer valuable advantages, particularly in remote regions, facilitating prompt treatment. Deep learning (DL) models enable the analysis of various chest radiographs, with Convolutional Neural Networks (CNNs) receiving considerable attention in disease classification. Leveraging features learned.

关键词： Pneumonia Pain Computational modeling Mortality Production Organizations Predictive models Feature extraction Convolutional neural networks Diagnostic radiography

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Analysis and Implementation of Minimum-Sensor Capacitor Voltage Estimators for Flying Capacitor Multilevel Converters

Analysis and Implementation of Minimum-Sensor Capacitor Volt...

引用

Annual IEEE Conference on Applied Power Electronics Conference and Exposition (APEC)

作者： S. Tahmid Mahbub Rahul K. Iyer Ivan Z. Petric Robert C. N. Pilawa-Podgurski Dept. of Electrical Engineering and Computer Sciences University of California Berkeley USA

ISBN: (数字)9798331516116

ISBN: (纸本)9798331516123

This work studies the estimation of capacitor voltages in the Flying Capacitor Multilevel (FCML) converter via direct measurements of only the input voltage, switched node voltage, and a minimum number of additional voltage sensors. Prior work developing capacitor voltage estimators for FCML converters has demonstrated that capacitor voltages are unobservable over specific ranges of duty ratios that depend on the converter level count. This work derives the minimum number of differential capacitor voltage sensors required to ensure capacitor voltage observability over the entire conversion ratio range and discusses where these sensors must be placed. Experimental results employing industry-standard digital signal processor hardware verify capacitor voltage observability with the proposed approach and demonstrate improved converter performance compared to the dithering solution previously proposed for retaining observability.

关键词： Voltage measurement Capacitors Digital signal processors Estimation Switches Capacitive sensors Power electronics Sensors Observability Voltage control

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EMP-GAN: Encoder-Decoder Generative Adversarial Network for Mobility Prediction

EMP-GAN: Encoder-Decoder Generative Adversarial Network for ...

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2023 IEEE INFOCOM Conference on computer Communications Workshops, INFOCOM WKSHPS 2023

作者： Bang, Sammy Yap Xiang Raza, Syed M. Yang, Huigyu Choo, Hyunseung Sungkyunkwan University Dept. of Superintelligence Engineering Suwon Korea Republic of College of Computing and Informatics Sungkyunkwan University Suwon Korea Republic of Sungkyunkwan University Dept. of Electrical and Computer Engineering Suwon Korea Republic of

ISBN: (纸本)9781665494274

Ultra-dense cell deployments in Beyond 5G and 6G result in extensive overlapping between cells. This makes current reactive handover mechanism inadequate due to availability of multiple strong signals at a position. Moreover, recently proposed predictive mobility management schemes are also not suitable as they may lead to unnecessary handovers. A predictive path-based mobility management scheme can solve these issues, but forecasting User Equipment (UE) paths with high accuracy is a challenging task. This paper proposes Encoder-Decoder Generative Adversarial Network (EMP-GAN) for forecasting multi-step ahead UE path. EMP-GAN architecture consists of generator and discriminator neural networks, where the generator predicts mobility (next multi-step target sequence) and the discriminator classifies between the predicted target sequence and the ground truth in adversarial learning. Besides adversarial learning, feature matching and fact forcing training methods are employed for fast convergence of GAN and performance improvement. EMP-GAN is evaluated on mobility dataset collected from the wireless network of Pangyo ICT Research Center, Korea, and results show that it outperforms state-of-the-art prediction models. In particular, EMP-GAN achieves 95.55%, 94.70%, 93.50%, and 92.39% accuracies for 3, 5, 7, and 9-step predictions, respectively. © 2023 IEEE.

关键词： Generative adversarial networks

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LTP Performance Evaluation Based on PHY Characteristics for Earth-Moon Satellite Links

LTP Performance Evaluation Based on PHY Characteristics for ...

引用

Information Technology International Seminar (ITIS)

作者： Israel Ehile Ehile Alisher Muratov Refik Caglar Kizilirmak Dept. of Electrical and Computer Engineering Nazarbayev University Astana Kazakhstan

ISBN: (数字)9798331521295

ISBN: (纸本)9798331521301

As the growth in satellite applications and the Internet is projected to extend beyond Earth into the solar system, satellite networks operating beyond Earth’s orbit are becoming a major point of interest. These satellite networks are expected to implement the Delay Tolerant Networking (DTN) architecture, which is specifically designed for networks with frequent intermittency, large delays, and high packet loss. The Licklider Transmission Protocol (LTP) is a specialized transport layer protocol used in space internetworking, providing reliability through retransmissions of the lost packets, with lower overhead compared to Transmission Control Protocol (TCP). This paper presents an analysis of LTP performance for satellite-to-satellite Earth-to-Moon links, based on the physical layer parameters of these radio links. Specifically, we defined the link budget for such links and, using two different modulation methods, calculated the segment error probability (SER). Given the SER, LTP performance was evaluated in terms of transmission time for varying block sizes. Our results show that a lower modulation order leads to a lower SER, which in turn reduces transmission time and increases throughput.

关键词： TCP Space vehicles Protocols Satellite broadcasting Transmitting antennas Modulation Physical layer Throughput Internet Delays

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Food Intake Detection in the Face of Limited Sensor Signal Annotations

Food Intake Detection in the Face of Limited Sensor Signal A...

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International Conference on Communications and Electronics, ICCE

作者： Aqsa Yousaf Edward Sazonov Dept. of Electrical and Computer Engineering The University of Alabama Tuscaloosa USA

ISBN: (数字)9798350379792

ISBN: (纸本)9798350379808

Food Intake Detection from wearable sensor signals is essential in applications like dietary monitoring. Traditional annotation methods for sensor datasets are notably labor-intensive and time-consuming. Addressing this, our paper presents a novel methodology that employs a denoising convolutional autoencoder trained on an extensive unannotated dataset to extract key discriminative features from the sensor data. Subsequently, a small, selectively annotated subset of this dataset is utilized to train a LightGBM classifier. The classifier leverages the features extracted by the autoencoder to distinguish between eating and non-eating events effectively. Our research utilizes the AIM-2 sensor system, equipped with a 3D accelerometer and an optical sensor mounted on eyeglasses to monitor muscle movement and head motion. Data was collected from 17 participants, each wearing eyeglasses for varying durations. For validating the LightGBM classifier, a cross-validation method was used where the data from each participant was used once as a test set, and the data from eight randomly selected others formed the training set. Repeated for each participant, this approach ensured individual data contribution to the validation. The final performance metrics, calculated as an average across all participants, demonstrated robust results with an F1 score of 83.71%, a specificity of 88.43%, and a sensitivity of 86.26%. These performance metrics underscore the efficacy of our approach, which significantly reduces the need for extensive data annotation.

关键词： Training Three-dimensional displays Annotations Convolution Noise reduction Feature extraction Sensor systems

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Optimizing Performance in Ladder-Type SAW Filter Using Modified IDT Configurations

Optimizing Performance in Ladder-Type SAW Filter Using Modif...

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Microwave Filter Workshop (IMFW), IEEE MTT-S International

作者： Matthew Ou Arash Fouladi Azarnaminy Raafat R. Mansour Dept. of Electrical and Computer Engineering University of Waterloo Waterloo Canada

This work investigates the performance of ladder-type Surface Acoustic Wave (SAW) filters employing modified Interdigital Transducer (IDT) configurations that can produce resonance with different electromechanical coupling coefficients. By altering the ratio of positive and negative fingers in SAW resonators, discrete coupling coefficient levels can be achieved. Such IDT geometries can impact filter selectivity and asymmetry, providing greater flexibility for different filter specifications.

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A Proposal for Creating Congruent Content of Different Media Types by Interactive Evolutionary Computation 12

A Proposal for Creating Congruent Content of Different Media...

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12th International Congress on Advanced Applied Informatics, IIAI-AAI 2022

作者： Fukumoto, Makoto Miyamoto, Taichi Gan, Haoran Fukuoka Institute of Technology Dept. of Computer Science and Engineering Fukuoka Japan Fukuoka Institute of Technology Graduate School of Computer Science and Engineering Fukuoka Japan

ISBN: (数字)9781665497558

ISBN: (纸本)9781665497558

We enjoy multiple media content in our daily lives, and using congruent content composed of different media types is ideal. However, obtaining congruent media content is difficult. Interactive Evolutionary Computation (IEC) is known as an effective approach to obtain good solutions for each user. However, conventional IECs treat single media types. This study proposes new Interactive Evolutionary Computation that searches the congruent media content in terms of a good combination of different types of media content. In the proposed IEC, the solution candidate contains different media types as its variables. A system was constructed by employing a genetic algorithm to investigate the effectiveness of the IEC with experiment. The target of creation was the congruent content composed of music and scent. Twelve participants evaluated a set of musical melodies and scents repeatedly. As results, a trend of increase in the mean fitness and significant increase in maximum fitness were observed in the search experiment. However, enough increase in the fitness was not observed in the evaluation experiment. © 2022 IEEE.

关键词： Genetic algorithms

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Active Switched-Inductor High-Gain Step-up DC-DC Converter with Reduced Voltage Stress

Active Switched-Inductor High-Gain Step-up DC-DC Converter w...

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2024 IEEE Energy Conversion Congress and Exposition, ECCE 2024

作者： Duong, Truong-Duy Xiao, Jianghai Liao, Yi-An Wang, Caisheng Wayne State University Dept. Electrical and Computer Engineering DetroitMI United States The Isf Academy Hong Kong Cranbrook Kingswood Bloomfield HillsMI United States

ISBN: (纸本)9798350376067

This paper introduces a high-gain step-up DC-DC converter with an active switched-inductor and a voltage multiplier cell. The proposed converter has a simple structure with the replacement of a diode in the switched-inductor cell and an active switch to reduce the voltage stress on power switches and improve efficiency. In addition, an inductor is used in the output side of the voltage multiplier cell to mitigate electromagnetic interference (EMI) issues and to reduce reverse recovery loss. A comprehensive comparison of the proposed converter is discussed for the effectiveness of the proposed converter. To verify its performance, a 200 W prototype of the proposed converter is built. © 2024 IEEE.

关键词： Capacitor bank

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Lightning Talk: Unlocking the Potential of the Analog Domain: Exploring the Next Frontier in Hardware Security 23

Lightning Talk: Unlocking the Potential of the Analog Domain...

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Proceedings of the 60th Annual ACM/IEEE Design Automation Conference

作者： Waleed Khalil The Ohio State University Dept. of Electrical and Computer Engineering Columbus Oh

ISBN: (纸本)9798350323481

The rapid advancement of microelectronics has revolutionized our society, offering enhanced features, automation, and connectivity. However, alongside these remarkable advancements, we must acknowledge the emerging challenges. As designs grow increasingly complex and offshoring becomes more prevalent, the threats and vulnerabilities to our systems multiply. While digital hardware security has received considerable attention, addressing the abstracted world of 1's and 0's, analog hardware security has been comparatively overlooked. This talk serves as a call to action, urging the design automation community to recognize the significance of analog security and work towards establishing a comprehensive, resilient, and secure hardware platform for the future. This talk aims to shed light on the pivotal role of analog hardware security in establishing a more secure and resilient hardware platform, emphasizing the need to bridge the gaps in analog hardware security and showcasing the progress made by the analog community in complementing the efforts in the digital domain. Join us as we explore the advances in analog hardware security, highlighting its vital role in safeguarding our interconnected world.

关键词： hardware security

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Frequency Response Deterioration due to Surface Ridge Abrasion of Tactile Sensors

Frequency Response Deterioration due to Surface Ridge Abrasi...

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IEEE Global Conference on Consumer Electronics (GCCE)

作者： Muhammad Irwan Yanwari Shogo Okamoto Dept. Computer Engineering Technology Polines Dept. Computer Science Tokyo Metropolitan University Tokyo Japan

ISBN: (数字)9798350355079

ISBN: (纸本)9798350355086

Epidermal ridges are crucial for tactile sensing in both human fingers and synthetic sensors. These ridges are made of compliant materials and susceptible to abrasion damage after iterative use. This study focuses on examining the impact of sensor ridge damage on the acquired signal, which encompasses a broad range of frequency components. We compared the frequency responses of a tactile sensor scanning sandpaper with both intact and damaged sensors. The degradation of signal levels was evident across the 0–1,000 Hz range, with particularly prominent suppression of the peak frequency component. This study demonstrates the frequency-dependent influence of ridge abrasion.

关键词： Degradation Fingers Tactile sensors Epidermis Frequency response Sensors Iterative methods Consumer electronics

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