In vitro dissolution prediction is a field of phar-maceutical research that aims to predict a tablet's dissolution profile using non-destructive methods based on the tablet's measured manufacturing parameters ...
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ISBN:
(数字)9798350329520
ISBN:
(纸本)9798350329537
In vitro dissolution prediction is a field of phar-maceutical research that aims to predict a tablet's dissolution profile using non-destructive methods based on the tablet's measured manufacturing parameters or composition. One of the most popular non-destructive measurements is Raman chemical imaging, which outputs a Raman map. However, because of the current development of the Raman imaging technique, obtaining large training datasets is very expensive and time-consuming. Still, training popular complex deep learning architectures that may achieve better accuracy is only possible with a large dataset. Therefore this article focuses on utilising pre-trained networks and the transfer learning technique to attempt to solve the problem of the small size of training samples. The results showed that deep neural networks with data augmentation and transfer learning could achieve better accuracy than simple convolutional neural networks. The presented strategies showed the need for an extensive dataset could be handled, and the accuracy could be enhanced, although there is room for further refinement.
This study presents an innovative method to improve the accuracy of indoor mapping by deploying and integrating a sensor that transmits two-dimensional data with a three-dimensional mesh created by another device. The...
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ISBN:
(数字)9798350385601
ISBN:
(纸本)9798350385618
This study presents an innovative method to improve the accuracy of indoor mapping by deploying and integrating a sensor that transmits two-dimensional data with a three-dimensional mesh created by another device. The Iterative Closest Point algorithm was used to coordinate the different data sets and transform their different coordinate systems into a common indoor map. Prior to this, rigorous image cleaning and matching processes are conducted to ensure the quality of the data used. The effectiveness of this methodology has been validated through multiple tests using a Lidar scanner and a HoloLens 2 Augmented Reality device. This method not only offers potential for enhancing indoor navigation and safety protocols like emergency evacuation but also presents opportunities for advancing asset tracking and other applications.
The concept of Physical Unclonable Function (PUF) has recently garnered attention in both industrial and academic fields as a promising hardware primitive for enhancing the security of electronic systems and devices. ...
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ISBN:
(数字)9798350387568
ISBN:
(纸本)9798350387575
The concept of Physical Unclonable Function (PUF) has recently garnered attention in both industrial and academic fields as a promising hardware primitive for enhancing the security of electronic systems and devices. PUFs leverage inherent manufacturing inconsistencies to generate a distinct key for every device. PUFs utilize the inherent manufacturing variations to generate a distinct key for each device despite using identical input values across all devices. A range of PUF types have been developed, such as optical, electronic, and magnetic variations. However, the Ring Oscillator (RO) PUF stands out particularly due to its simple implementation and impressive performance. Due to the limited combinations of the RO-PUF input-output bits, or as it is called in the field of PUFs, challenge-response pairs (CRPs), researchers have developed the configurable ring oscillator (CRO) PUF, which produces a larger set of CRPs by utilizing a configurable inversion unit (CIU) instead of the standard inverter in the traditional design. Most of the recent research primarily focuses on increasing the size of the CRPs and enhancing security features. Yet, there is a lack of emphasis on investigating how the count of ROs affects the performance of the CRO-PUF. This paper uses several performance metrics to investigate the impact of altering the ring oscillator count on the CRO-PUF.
This paper presents a Support-Vector Machine (SVM) based method of classification of cross-correlated phoneme segments as part of the development of an automated Speech Sound Disorder (SSD) Screening tool. The pre-pro...
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This paper proposes to create an Robotic Process automation style application that can digitalize and extract data from handwritten medical forms. The RPA robot uses OpenAI ChatGPT4o model to extract handwritten medic...
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Deaf persons usually relies on sign language to communicate with other human beings. This language is expressed through manual articulations in combination with non-manual elements, being a full rights language, with ...
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Extracting, analyzing, and simulating human physical behavior have proven to be challenging tasks for researchers all over the world for many years. If developed successfully, they can generate important results that ...
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This paper discusses the design of a robust H∞ controller for satellite systems that exhibit changes in its inertia matrix within a range of ±5%. Using MATLAB Simulink, the proposed approach is a Linear Matrix I...
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This paper presents a comprehensive workflow for automating substation modeling using labeled aerial images. Our approach streamlines the process into three key steps: generating the input dataset as labeled images, i...
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ISBN:
(数字)9798350375589
ISBN:
(纸本)9798350375596
This paper presents a comprehensive workflow for automating substation modeling using labeled aerial images. Our approach streamlines the process into three key steps: generating the input dataset as labeled images, inferring an electrical substation model based on standard design principles and exemplarily importing the model into DIgSILENT PowerFactory as a simulation environment. We demonstrate that this new automated process significantly enhances speed, improves consistency, and facilitates easier updation of models, outperforming traditional manual methods.
The paper describes the structure of an information system for predicting the profile of hot-rolled steel. To predict the transverse profile, an integrated model is used, including models of roll bending, roll profile...
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