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,...
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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.
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 v...
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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.
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. M...
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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 sate...
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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.
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 th...
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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.
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 cou...
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.
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...
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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-i...
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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 ch...
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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.
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 ...
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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.
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