The NARI Grid Power researchinstitute proposed an ontology for substation management - NARI Ontology (NARIO). The key function of a smart power grid replies on intelligent autonomic substation management, however, cu...
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Being able to safely land on the surface is one of the primary challenges when a probe exploring an asteroid. In order to ensure landing safety, the landing location planning needs to comprehensively consider the terr...
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The uncertainty of risk factors in infrastructure construction presents significant challenges to the management of construction progress. To effectively control construction progress while ensuring quality and reduci...
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Knowledge graph has been widely utilized to provide knowledge for the sequential recommendation. But their divergence produces new challenges to appropriately capture and represent items' knowledge for recommendat...
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The adoption of mimic dynamic heterogeneous redundancy architecture is an important means to achieve endogenous security in information systems, which can be used to defend against known and unknown vulnerabilities an...
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Efficient navigation of mobile robots is crucial for industrial applications. However, environmental obstacles can pose significant risks and hinder operational optimality. Thus, identifying the ideal algorithm throug...
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ISBN:
(数字)9798331519094
ISBN:
(纸本)9798331519100
Efficient navigation of mobile robots is crucial for industrial applications. However, environmental obstacles can pose significant risks and hinder operational optimality. Thus, identifying the ideal algorithm through comparative analysis is imperative. This study examines five popular path planning algorithms; Dijkstra, BFS, A*, D* Lite, and Ant Colony Optimization (ACO); based on 2D grid simulation. The objective is to conduct performance analysis of these algorithms through a custom designed online simulation platform for visualization of path planning strategies. The methodology encompasses a thorough background study, environment setup, development of simulation platform, algorithm implementation, and result analysis with visualization. This study contributes by introducing a new simulation platform, and adding values to the existing knowledge of path planning analysis.
Fault detection(FD) for traction systems is one of the active topics in the railway and academia because it is the initial step for the running reliability and safety of high-speed trains. Heterogeneity of data and co...
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Fault detection(FD) for traction systems is one of the active topics in the railway and academia because it is the initial step for the running reliability and safety of high-speed trains. Heterogeneity of data and complexity of systems have brought new challenges to the traditional FD methods. For addressing these challenges, this paper designs an FD algorithm based on the improved unscented Kalman filter(UKF) with consideration of performance degradation. It is derived by incorporating a degradation process into the state-space *** network topology of traction systems is taken into consideration for improving the performance of state estimation. We first obtain the mixture distribution by the mixture of sigma points in UKF. Then, the Lévy process with jump points is introduced to construct the degradation model. Finally, the moving average interstate standard deviation(MAISD) is designed for detecting *** the proposed methods via a traction systems in a certain type of trains obtains satisfactory results.
In recent years, the emergence of Ethereum has brought people a new way of life. Many users tend to deposit funds into different smart contracts, but the smart contracts are actually different computer programs, so th...
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Several MSME companies face challenges in their personnel and payroll systems which are still done manually, causing inefficiencies and can slow down company operations. This research aims to design a module front-end...
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Eye coloboma is classified as a congenital eye disease that results in developmental anomalies of the eye that may result in eye diseases that essentially alter visions. Fractional and timely diagnosis still matter si...
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ISBN:
(纸本)9798331508845
Eye coloboma is classified as a congenital eye disease that results in developmental anomalies of the eye that may result in eye diseases that essentially alter visions. Fractional and timely diagnosis still matter significantly in its effective managing and treating. This work presents a solution with a Transformer-Enhanced U-Net model that was developed with Transfer Learning to help augment the market's ability to identify and delineate eye coloboma from medical images. This work further extend the gains made in U-Net, that has achieved fairly well especially in the biomedical image segmentation problem, with the inclusion of transformer modules for the incorporation of the long range dependencies and contextual information. This enhancement help the model to attend more on such small features as coloboma and overall diagnostic accuracy in addition. By using Transfer Learning with a pretrained backbone such as Efficient Net, feature representations from large pre-existing datasets are fed to the system as a solution to the reduction of training time and while the performance of the system drops no further effect is *** approach involves the use of fine-tuning with Transformer-Enhanced U-Net model utilizing a subset of the eye images, which are labelled according to the existence of coloboma. Next, by adopting the self-attention mechanism, the model becomes able to pay attention to the relevant areas in the image, and hence is sensitive to any form of coloboma. In initial experiments, this scheme outperforms the standard convolutional networks for segmenting complex regions with minimal false negative rates. Moreover, by comparing the features extracted at deep layers with ground truth, the effectiveness of the model to realistic clinical usage is established given that the model is robust to changes in imaging conditions. The purpose of this research therefore is to develop an Auto-Generated diagnostic tool that will be more reliable as it assists the
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