This paper has introduced studies on applying reinforcement learning to MAC protocols in wireless networks to enhance network performance. As services and users demanding improved network performance increase, using r...
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In the era of mobile internet, network literacy is an important part of the overall quality of college students. Improving the network literacy of college students is of great practical significance for strengthening ...
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Underwater object detection algorithms are the core of AUV automatic detection and counting. However, the complex underwater environment with dense underwater organisms and small size brings great challenges to the de...
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With the progress of software technology, vulnerability detection is more important in software security. The mainstream method lacks discriminability and explainability as it uses graph neural network to fuse feature...
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Vehicle seating safety is critical to vehicle design and development. The ergonomics of the seat design in a vehicle can enhance human comfort and system performance, adding to a safe and comfortable driving experienc...
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ISBN:
(纸本)9783031610592;9783031610608
Vehicle seating safety is critical to vehicle design and development. The ergonomics of the seat design in a vehicle can enhance human comfort and system performance, adding to a safe and comfortable driving experience. This research focuses on improving automobile seating safety through an ergonomic analysis of seat safety using human modeling in RAMSIS software. RAMSIS is a popular software tool in the automotive industry for human modeling and ergonomics analysis. The software can evaluate the performance of seat belts, airbags, and other safety features and can give advice on where these features should be placed. RAMSIS is an important tool in designing cars that are safer and more comfortable, improving the overall security and wellbeing of passengers. This report also highlights the usage of RAMSIS software for Manikins creation. It helps in creating a virtual human model that can be used to evaluate the ergonomics of a car seat's design. The study emphasizes the importance of human modeling and ergonomics analysis in automotive design and development. Overall, this study provides the significance for using RAMSIS software to design a secure and comfortable car seat.
Various techniques, combining conventional and cutting-edge technology, have been developed throughout time to identify human and animal invaders on agricultural property. Traditional methods of protecting crops inclu...
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Various fields of science face a reproducibility crisis. For quantum softwareengineering as an emerging field, it is therefore imminent to focus on proper reproducibility engineering from the start. Yet the provision...
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ISBN:
(纸本)9781665437868
Various fields of science face a reproducibility crisis. For quantum softwareengineering as an emerging field, it is therefore imminent to focus on proper reproducibility engineering from the start. Yet the provision of reproduction packages is almost universally lacking. Actionable advice on how to build such packages is rare, particularly unfortunate in a field with many contributions from researchers with backgrounds outside computerscience. In this article, we argue how to rectify this deficiency by proposing a 1-2-3 approach to reproducibility engineering for quantum software experiments: Using a meta-generation mechanism, we generate DOI-safe, long-term functioning and dependency-free reproduction packages. They are designed to satisfy the requirements of professional and learned societies solely on the basis of project-specific research artefacts (source code, measurement and configuration data), and require little temporal investment by researchers. Our scheme ascertains long-term traceability even when the quantum processor itself is no longer accessible. By drastically lowering the technical bar, we foster the proliferation of reproduction packages in quantum software experiments and ease the inclusion of non-CS researchers entering the field.
In view of the risk of fall for the elderly in the home care environment, a surveillance video display fall detection method of the improved YOLOv5 algorithm is improved, and the Transformer module that increases the ...
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In today's technology-driven world, there is a growing interest in leveraging Artificial Intelligence (AI) to streamline software testing processes. Our research delves into GUI-based testing, a prominent techniqu...
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ISBN:
(纸本)9783031702440;9783031702457
In today's technology-driven world, there is a growing interest in leveraging Artificial Intelligence (AI) to streamline software testing processes. Our research delves into GUI-based testing, a prominent technique for verifying software functionality. Preliminary findings from our industrial survey of 45 respondents provide insights into the use of AI in GUI-based software testing. The survey aims to understand how AI supports GUI-based testing, the AI techniques and tools used, and the perceived advantages and limitations. The collected results suggest a diffuse yet superficial utilization of AI-based mechanisms among GUI-based testers. Practitioners often employ AI techniques in a technology-agnostic way, treating commercial tools as black boxes. These findings underscore the need for additional research aimed at gaining a deeper understanding of the AI techniques and tools employed in industry and their intended purposes.
Reinterpretable cameras are defined by their post-processing capabilities that exceed traditional imaging. We present "SoDaCam" that provides reinterpretable cameras at the granularity of photons, from photo...
ISBN:
(纸本)9798350307184
Reinterpretable cameras are defined by their post-processing capabilities that exceed traditional imaging. We present "SoDaCam" that provides reinterpretable cameras at the granularity of photons, from photon-cubes acquired by single-photon devices. Photon-cubes represent the spatio-temporal detections of photons as a sequence of binary frames, at frame-rates as high as 100 kHz. We show that simple transformations of the photon-cube, or photon-cube projections, provide the functionality of numerous imaging systems including: exposure bracketing, flutter shutter cameras, video compressive systems, event cameras, and even cameras that move during exposure. Our photon-cube projections offer the flexibility of being software-defined constructs that are only limited by what is computable, and shot-noise. We exploit this flexibility to provide new capabilities for the emulated cameras. As an added benefit, our projections provide camera-dependent compression of photon-cubes, which we demonstrate using an implementation of our projections on a novel compute architecture that is designed for single-photon imaging.
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