The Penguin Island Camera Monitoring System for the Great Wall Station in Antarctica aims to design and implement a penguin island camera monitoring system suitable for the Antarctic environment. The system integrates...
详细信息
Future wireless networks are researching how to fulfill the growing demand for wireless optical communication. The increased usage of mobile devices and sensors in the real world has resulted in this increasing demand...
详细信息
This paper addresses the auto disturbance rejection control (ADRC) for systems with time delay. ADRC is an effective control for most linear or nonlinear systems with noises and disturbances, because of its advantage ...
详细信息
Challenges faced by traffic management in many developing nations across the globe is a result of the poor quality of road infrastructure. Inadequate and defective road infrastructure are major contributors to this ef...
详细信息
This research investigates beamforming and Non-Orthogonal Multiple Access (NOMA) techniques to enhance the performance of Unmanned Aerial Vehicle (UAV)-assisted communication in Industrial Internet of Things (IIoT) ne...
详细信息
Cloud computing has grown rapidly, but data breaches and unauthorized account access remain a persistent threat. Commonly used cryptographic authentication methods rely on mathematically complex but computationally in...
详细信息
The industrial sector's digital transformation under Industry 4.0 necessitates robust, scalable, and secure communication frameworks. 6G technology, particularly its nonpublic network (NPN) configurations, offers ...
详细信息
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 ...
详细信息
Diabetic retinopathy has emerged as one of the leading causes of eye diseases among people suffering from long-term diabetes. Indeed, it raises the risk of being blinded without proper detection and treatment. Convent...
详细信息
ISBN:
(纸本)9798331510022
Diabetic retinopathy has emerged as one of the leading causes of eye diseases among people suffering from long-term diabetes. Indeed, it raises the risk of being blinded without proper detection and treatment. Conventional detection of retinal fundus images by an ophthalmologist is time-consuming and prone to mistakes owing to human intervention. This is particularly a cause for alarm in the wake of the growing incidence of diabetes globally. The need for automated, accurate detection systems for early diagnosis of diabetic retinopathy has never been more relevant. In this work, we develop a deep learning model based on CNN for classifying four stages of diabetic retinopathy, from no DR to proliferative DR. We tested the model in a public dataset to extract features from retinal images and to screen for abnormalities automatically. Our CNN model achieved 98.5% classification and detection accuracy, thus indicating the ability to make a real difference in the early detection and treatment plan, thereby preserving the vision of many diabetic patients. Practical value The present research is very relevant to clinical practice and, therefore, practically useful because of its relevance to healthcare technology. Using accuracy and loss function metrics, the proposed model performs well compared to the latest techniques in DR detection. An approach based on CNNs is expected to ease much of the workload that healthcare professionals bear in diagnosis and improve the precision, potentially resulting in a very high cutback in vision loss in diabetic patients with better patient outcomes. Our study has highlighted the practical utility of the CNN model, which has improved patient outcomes. DR is a serious condition affecting the eyes, which, in case of untimely detection and untreated in diabetic patients, can cause loss of vision. For centuries, the conventional diagnosis for this disease has been through the manual inspection of retinal fundus images taken through a camera
Multiple quantum well solar cells (MQWSC) enhance the absorption of sunlight by allowing tunable bandgaps and improved carrier collection. This design aims to increase overall solar cell efficiency by optimizing energ...
详细信息
ISBN:
(纸本)9798350388282
Multiple quantum well solar cells (MQWSC) enhance the absorption of sunlight by allowing tunable bandgaps and improved carrier collection. This design aims to increase overall solar cell efficiency by optimizing energy conversion processes. Surficial photonic design is another approach to provide roughness which prevents reflection of sunlight from the solar cell surface and increases the optical paths of photons to reach the absorber layer. This article is focused on determining sui TableIII-V materials with structure configurations to implement in quantum wells to maximize efficiency beyond the fundamental p-n junction solar cells. Also, surficial circular nanoholes were considered to be implemented for maximizing light absorption. A total of six reported III-V semiconductor materials InP, InGaP, AlGaAs, GaSb, InGaAs, and InGaN were considered to be implemented on quantum wells. 5 layers and 25 layers of arrangements of each III-V material were investigated. Finally, the highest-performing MQWSC was incorporated with the optimized surficial nanostructure design, and the structure's performance was compared with a fundamental single junction solar cell. GaAs solar cell is considered in this study as the host structure to implement quantum wells and surficial structure. Optical simulation was conducted to investigate light trapping enhancement using the Ansys Lumerical FDTD software. GaAs solar cells with a single junction as well as MQWSC were examined using the Ansys Lumerical CHARGE solver. It was found that the 25 layers of InP/GaAs MQWSC obtained the highest efficiency among all six III-V materials and their two physical combinations. Finally, the surficial circular nanohole design was incorporated with the highest efficient multiple-quantum well combination to obtain electrical results. The analysis shows that the 25 layers of InP/GaAs MQWSC with circular nanoholes improve the efficiency significantly from fundamental single junction GaAs solar cells. Other el
暂无评论