Satellite edge computing (SatEC) is an emerging computing paradigm for remote and disaster-affected areas with scarce computing resources. It is crucial to make the appropriate offloading strategy to maximize quality ...
详细信息
Diet management requires keeping track of what you eat. The researchers presented a recipe retrieval technique based on food photos that retrieves the related recipes from the taken images and creates nutritional info...
详细信息
The majority of underground coal mines (UCMs) rely on wired-based communication system for communication as well as data transmission. Wireless systems find few usages due to many challenges associated with the underg...
详细信息
The electronic safety and arming device test system is developed to ensure the reliability of weapon systems. In view of the low test efficiency and high requirements for testers in manual testing during the current t...
详细信息
This paper presents BC-SBOM, a novel blockchainbased system designed to enhance the management of software Bills of Materials (SBOMs). By leveraging blockchain technology, BC-SBOM ensures secure storage and sharing of...
详细信息
ISBN:
(纸本)9791188428137
This paper presents BC-SBOM, a novel blockchainbased system designed to enhance the management of software Bills of Materials (SBOMs). By leveraging blockchain technology, BC-SBOM ensures secure storage and sharing of SBOMs, while providing a comprehensive global view of dependencies among software components. The system also supports rapid propagation of alerts for newly discovered vulnerabilities, thereby increasing responsiveness to potential threats. Offering superior reliability, transparency, and availability compared to traditional SBOM tools, BC-SBOM aims to significantly improve the management of complex softwaresystems and contribute to the advancement of software security practices. Copyright 2025 Global IT Research Institute (GIRI). All rights reserved.
Business processes underpin enterprise execution, coordination, and management. However, differing levels of familiarity with modeling languages among users can create an understanding gap, potentially disrupting the ...
详细信息
ISBN:
(纸本)9789819608041;9789819608058
Business processes underpin enterprise execution, coordination, and management. However, differing levels of familiarity with modeling languages among users can create an understanding gap, potentially disrupting the process flow. Business process documentation bridges this gap. Current methods, such as manual writing and rule-based generation, face inefficiency, errors, and limitations. We innovate by harnessing large language models for documentation generation. Our approach involves defining a Refined Process Structure Tree (RPST) meta-model and mapping rules, then constructing fine-grained RPSTs and crafting sentences using a hierarchical construction method. Finally, global optimization enhances the documentation. Tested on 100 diverse process models, our method outperforms benchmarks in robustness, and it achieves 6% and 1% higher semantic similarity scores by n-gram and semantics metrics.
The astronomical images are made by cameras with the charge-coupled device (CCD). They can be received from the different sources, like servers, clusters, predefined series, archives or "live" (online) data ...
详细信息
ISBN:
(纸本)9798400710018
The astronomical images are made by cameras with the charge-coupled device (CCD). They can be received from the different sources, like servers, clusters, predefined series, archives or "live" (online) data streams. The astronomical images processing is focused on but not limited to the following tasks: data mining, knowledge discovery, big astronomical data processing, filtering, background alignment, brightness equalization, segmentation, classification, image recognition, object's image detection, object's astrometry and photometry, moving object detection, parameters determination of the object's image and apparent motion, reference objects selection and others. The modern Lemur software of the Collection Light Technology (CoLiTec) project (https://***) was developed using the described above technologies and approaches. The Lemur software is designed to perform a sequence of the following main steps: pre-processing (astronomical information collection -> worst data rejection -> useful data extraction -> data mining -> classification -> background alignment -> brightness equalization), image processing (segmentation -> typical form analysis -> recognition patterns applying -> detection of the object's image -> astrometry -> photometry -> objects identification -> tracks detection), knowledge discovery (Solar System objects or artificial satellites to be discovered, tracks parameters for the investigation, light curves of the variable stars, scientific reports in the international formats). The paper describes the modern features for the astronomical image processing implemented in the Lemur software. It has assisted in making over 1700 discoveries of asteroids, including 5 NEOs, 21 Trojan asteroids of Jupiter, 1 Centaur. In total it has been used in about 800 000 observations, during which five comets were discovered. All such observations and discoveries have official observational circulares from the Minor Planet Center (MPC) of the international Ast
In recent years, the rapid development of deep neural networks and their application technologies has propelled autonomous driving systems (ADS) towards commercialisation. However, due to the high safety requirements ...
详细信息
ISBN:
(纸本)9783031808883;9783031808890
In recent years, the rapid development of deep neural networks and their application technologies has propelled autonomous driving systems (ADS) towards commercialisation. However, due to the high safety requirements of ADSs, ensuring their safety and reliability remains a critical challenge in softwareengineering. Existing testing methods focus on simple driving scenarios with few traffic participants, neglecting the impact of high traffic density on ADS driving performance. This paper presents an empirical study exploring how traffic density affects ADS behaviour. We developed a testing framework using two open-source ADSs to generate scenarios with varying traffic densities in a high-fidelity simulator. Our results indicate that changes in traffic density significantly affect ADS performance. Different traffic densities reveal various types of safety violations and help identify potential design flaws in ADSs. This study highlights the importance of considering traffic density in ADS testing and contributes to a better understanding of ADS performance under different traffic conditions.
The Transformer achieves remarkable success in image super-resolution (SR). However, it has limitations in handling complex local details, whereas Convolutional Neural Networks (CNNs) are more advantageous in fine fea...
详细信息
The Transformer achieves remarkable success in image super-resolution (SR). However, it has limitations in handling complex local details, whereas Convolutional Neural Networks (CNNs) are more advantageous in fine feature extraction. Additionally, we find that the Feedforward Network (FFN) in the Transformer architecture does not effectively integrate spatial and channel information, containing redundant information that hinders feature representation capability. Thus, we propose the Adaptive Multi-scale Fusion Transformer (AMFT), which combines the global advantages of the Transformer with the local fine feature extraction capabilities of CNNs. Through feature shifting, multi-scale feature extraction, and hierarchical feature fusion, the AMFT significantly enhances image detail representation and visual quality. In detail, we incorporate the Multi-Scale Shifting Convolution Module (MSSCM) into the Transformer. MSSCM first shifts the feature positions and then extracts and fuses features at different scales, preserving more details, and through a hybrid attention mechanism achieves global transmission of information. Additionally, we replace FFN with the Spatial Channel Fusion Module (SCFM) to achieve full information integration and reduce computational complexity. Extensive experiments demonstrate the superior performance of AMFT compared to existing methods.
Risk assessment in softwareengineering has seen many approaches. Despite the amount of scientific literature on risk management, the failure rate of software projects after the first installation remains considerable...
详细信息
暂无评论