the study identifies how the game elements of points, badges, and leaderboards could be used to engage students to enhance learning outcomes in educational settings. As the innovative teaching paradigm is gaining impo...
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the research and development of digital control systems, embedded software and precise sensor measurement within the field of automated and autonomous robotics applications has increased significantly within the last ...
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ISBN:
(纸本)9781665489218
the research and development of digital control systems, embedded software and precise sensor measurement within the field of automated and autonomous robotics applications has increased significantly within the last decade. based on these developments very complex, compute-intense tasks with real-time constraints in combination with Artificial Intelligence capabilities prepared the way for a new application field - so called "new aviation". Within this research field various topics of robotics, embedded systems, power systems and vision systems play an important role. Moreover, the system developers and researchers within this industry need a profound knowledge in every technical discipline. this paper mainly focuses on tasks within the field of indoor navigation. this area of application can be utilized for logistics, maintenance and service tasks. the most important topic of indoor navigation tasks is the location determination and the orientation with no GPS position available. this paper introduces a model-based approach for remote development of embedded software for indoor object avoidance applications. this model-based approach helps to reduces the complexity of the implementation of multicore microcontroller applications with real-time constraints, which post-processes vision sensor data and utilizes them to automatically and autonomously orientate itself within an indoor environment.
Recently, there has been growing attention on behalf of both academic and practice communities towards the ability of Artificial Intelligence (AI) systems to operate responsibly and ethically. As a result, a plethora ...
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ISBN:
(纸本)9798400717017
Recently, there has been growing attention on behalf of both academic and practice communities towards the ability of Artificial Intelligence (AI) systems to operate responsibly and ethically. As a result, a plethora of frameworks and guidelines have appeared to support practitioners in implementing Trustworthy AI applications (TAI). However, little research has been done to investigate whether such frameworks are being used and how. In this work, we study the vision AI practitioners have on TAI principles, how they address them, and what they would like to have - in terms of tools, knowledge, or guidelines - when they attempt to incorporate such principles into the systems they develop. through a survey and semi-structured interviews, we systematically investigated practitioners' challenges and needs in developing TAI systems. based on these practical findings, we highlight recommendations to help AI practitioners develop Trustworthy AI applications.
Domain-specific few-shot information extraction (IE) has always been the difficulty of domain knowledge graph construction, and there is a new solution in this direction after the emergence of large language models (L...
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Malicious software, or malware, is programming code that infiltrates computer systems through security holes. this research paper presents an all-inclusive study on improving the malware detection process using ensemb...
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In this research study, an IoT-enabled firefighting rover has been fabricated to cater to the growing demand for safe and efficient firefighting operations in hazardous areas. It is fitted with cameras, heat sensors, ...
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Guideline knowledge is helpful for LLM (Large Language Model) based Agent in embody task planning. In this work, we introduce Textgrad to optimize the Guideline knowledge for the agent9;s embodied tasks. this allow...
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A Novel Dadda multiplier called a Kogge Stone Adder is the object of this study9;s comparison of power consumption and delay. that employs 4:2 compressors, and a suggested Brent Kung adder in order to determine the...
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Prior knowledge of the wall9;s thickness is crucial for precisely pinpointing the location of the target in through-wall radar imaging. We suggest a method to estimate wall thickness using Long Short-Term Memory (L...
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this research study explores the integration of facial recognition technology to enhance factory automation, utilizing Phoenix PLC and Factory I/O in a secure and efficient manner. the system employs a face terminal t...
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