The advent of 5G technology is profoundly transforming communication and connectivity. This research explores its multifaceted impact.5G, the fifth-generation mobile network, offers higher data speeds and lower latenc...
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Regression testing is essential for software systems that undergo changes to ensure functionality and identify potential problems. It is crucial to verify that modifications, such as bug fixes or improvements, do not ...
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Studies of research software development have focused on how to promote or encourage the adoption of softwareengineering practices, but we do not have a good empirical understanding of strategies that researchers hav...
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The IoT is a network of physical objects embedded with sensors and software, connecting and exchanging data over the internet. With over 7 billion connected devices, experts predict growth to 10 billion by 2020 and 22...
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Although using third-party libraries has become prevalent in contemporary software development, developers often struggle to update their dependencies. Prior works acknowledge that due to the migration effort, priorit...
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This paper designs and implements a low frequency signal generator based on the interrupt and timing functions of the single chip computer. The system uses STC89C52 single chip microcomputer as the controller, outputs...
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The goal of this paper is to deliver the overview of the current state of the art, provide experience report on developing quantum software tools, and outline the perspective for developing quantum programming tools s...
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ISBN:
(纸本)9798400707551
The goal of this paper is to deliver the overview of the current state of the art, provide experience report on developing quantum software tools, and outline the perspective for developing quantum programming tools supporting symbolic programming for the needs of quantum computing technologies. The main focus of this paper is on quantum computing technologies, as they can in the most direct way benefit from developing tools enabling the symbolic manipulation of quantum circuits and providing software tools for creating, optimizing, and testing quantum programs. We deliver a short survey of the most popular approaches in the field of quantum software development, pointing their strengths and weaknesses. This helps to formulate a list of desirable characteristics which should be included in quantum computing frameworks. Next, we describe a software architecture and its preliminary implementation supporting the development of quantum programs using symbolic approach, encouraging the functional programming paradigm, and, at the same, time enabling the integration with high-performance and cloud computing. The described software consists of several packages developed to address different needs, but nevertheless sharing common design concepts. We also outline how the presented approach could be used in tasks in quantum softwareengineering: quantum software testing and quantum circuit construction.
SPBE facilitates program and budget implementation to improve the quality of public services and government administration. During the SPBE evaluation, the software development process became one indicator determining...
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Digital image processing technology is currently limited by the accuracy and processing speed of existing methods. To address these limitations, this paper proposes a novel computer digital image processing algorithm ...
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ISBN:
(纸本)9798400709784
Digital image processing technology is currently limited by the accuracy and processing speed of existing methods. To address these limitations, this paper proposes a novel computer digital image processing algorithm based on Mask R-CNN. The proposed algorithm utilizes residual structures to replace most of the images that act on fully connected layers in the model architecture, enabling the extraction of image features based on the Mask R-CNN algorithm. Furthermore, a digital image processing method is designed, an objective function is established, and feature information is obtained. Under the joint action of the encoding and decoding layers, the network structure of the generator is derived. Experimental results demonstrate that the processed images exhibit high peak signal-to-noise ratio, structural similarity coefficient, and low mean square error, with a running time consistently below 0.13 seconds. Future research directions include investigating higher precision pixel images to further enhance image processing accuracy and speed.
The article considers autonomous vehicle control system using obstacle detection method based on machine vision using light markers on motion path. The data gaining method for optimization and calculating image is pro...
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