Nowadays, there is an increasing need for faster collection and processing of environmental information in technology, battlefield, and urban construction. In complex environments where human activity is difficult, dr...
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ISBN:
(纸本)9798400707735
Nowadays, there is an increasing need for faster collection and processing of environmental information in technology, battlefield, and urban construction. In complex environments where human activity is difficult, drones can be dispatched to search for targets. Whether in military or civilian applications, the research on detection and positioning algorithms for search targets is crucial in the process of drone search. this also requires us to continuously improve the drone's ability to detect and locate targets. the breakthrough developments in computer vision and deep learning have greatly promoted the application of visual image technology in intelligent target recognition, localization, tracking, and target trajectory prediction. Due to its flexible flight characteristics, unmanned aerial vehicles (UAVs) are capable of flying in various complex environments. therefore, the combination of drones and machine vision is increasingly sought after by people. therefore, the research on unmanned aerial vehicle target detection and joint control technology based on YOLO algorithm has practical requirements and significance. Based on the characteristics of mainstream object detection algorithms in image technology and their performance comparison, a suitable object detection algorithm was selected for the scenario in this article. Based on the analysis of the trained results and the retested detection results, the YOLO detection algorithm that is most suitable for this article was selected. then, the prior boxes of the algorithm were re clustered, and the clustered algorithm was re trained and tested to improve detection accuracy. the method used to improve detection accuracy is to analyze the feature layer information of each layer again, improve the structure of the clustered detection algorithm, and retrain and test the algorithm. Finally, drones provide more application scenarios for the YOLO algorithm, which can help drones complete more novel tasks. through this ap
Visualisations in Electronic Health Records (EHRs) are crucial for clinical care. Since clinicians need to quickly diagnose and treat their patients, having appropriate ways to visualise patients’ characteristics and...
Visualisations in Electronic Health Records (EHRs) are crucial for clinical care. Since clinicians need to quickly diagnose and treat their patients, having appropriate ways to visualise patients’ characteristics and issues documented in the EHR, can be instrumental. However, the existing literature has not yet summarised the characteristics and lessons learned from the studies on patient dashboards for clinical care. Our review analysed patient dashboards, that visualised EHR data to support clinical care, and which were evaluated with end-users. We read papers from Human-computer Interaction, Information Visualisation, and Medical Informatics, focusing on the user interfaces and the end-user evaluation results. From a set of 3545 articles, we selected 30 studies, which were analysed using thematic Analysis. Results provide an understanding of the patient dashboard designs, the visualisation techniques employed, the data represented, as well as the lessons learned from this body work; which should contribute to future designs.
this pioneering study introduces Conditional Generative Adversarial Networks (cGANs) in medical diagnostics, explicitly focusing on translating images between disparate modalities, exemplified by the conversion from P...
this pioneering study introduces Conditional Generative Adversarial Networks (cGANs) in medical diagnostics, explicitly focusing on translating images between disparate modalities, exemplified by the conversion from Photoplethysmography (PPG) to Electrocardiography (ECG). the method harnesses inherent data relationships to generate high-fidelity cross-modality images, offering valuable anatomical insights, aiding disease identification, and facilitating effective treatment planning. the study highlights cGANs’ transformative role in overcoming modality challenges and emphasizes their potential to revolutionize medical diagnostics. the proposed methodology contributes to dataset expansion through data synthesis, enhancing patient monitoring efficacy. Ethical considerations address synthetic data usage in medical settings, emphasizing responsible technology application. Rigorous evaluation validates the approach, affirming its effectiveness in preserving diagnostic features and establishing potential widespread adoption in medical imaging. this research signifies a new era in patient care, highlighting cGANs’ pivotal role in advancing diagnostic innovation and pushing healthcare boundaries responsibly.
this paper presents the development and evaluation of the Geelong Digital Outdoor Museum (GDOM) prototype accessible at https://***. GDOM is a portable museum—our novel adaptation of the distributed museum model (Stu...
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ISBN:
(纸本)9789887891772
this paper presents the development and evaluation of the Geelong Digital Outdoor Museum (GDOM) prototype accessible at https://***. GDOM is a portable museum—our novel adaptation of the distributed museum model (Stuedahl & Lowe, 2013) which uses mobile devices to present museum collections attached to physical sites. Our prototype defines a way for intangible heritage associated with tangible landscapes to be accessible via personal digital devices using 360° 3D scanned digital replicas of physical landscapes (photogrammetric digital models). Our work aligns with efforts set out in the UN Sustainable Development Goal 11 (SDG 11) to safeguard cultural and natural heritage, by openly disseminating the heritage of physical sites seamlessly through the landscape. Using a research by design methodology we delivered our prototype as a modular web-based platform that leveraged the Matterport digital model platform. We qualitatively evaluated the prototype's usability and future development opportunities with 32 front-end users and 13 potential stakeholders. We received a wide gamut of responses that included: users feeling empowered by the greater accessibility, users finding a welcome common ground with comparable physical experiences, and users and potential stakeholders seeing the potential to re-create physical world experiences with modifications to the digital model along with on-site activation. Our potential stakeholders suggested ways in which GDOM could be integrated into the arts, education, and tourism to widen its utility and applicability. In future we see design potential in breaking out of the static presentation of the digital model and expanding our portable museum experience to work on-site as a complement to the remote experience. However, we recognise the way in which on-site activation integrate into users' typical activities can be tangential (McGookin et al., 2019) and this would necessitate further investigation into how to best int
As a repository of knowledge, museums have always played an important role in knowledge dissemination. the purpose of this paper is to explore better services for children’s learning in the museum environment, and pr...
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In this article, we propose the architecture of ordered access memory (OAM) device after examining the known methods of memory access, memory organization and related disadvantages. this memory device works with array...
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In recent years, countries have gradually paid attention to the issue of carbon emissions and started to improve plans. Reaching net-zero emissions by 2050 has become the common goal of most countries. In order to ach...
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ISBN:
(纸本)9798400707735
In recent years, countries have gradually paid attention to the issue of carbon emissions and started to improve plans. Reaching net-zero emissions by 2050 has become the common goal of most countries. In order to achieve this goal, countries are also vigorously promoting the use of public transportation instead of driving by themselves. When actually interviewing people who take a bus, it is found that people usually spend the most time on bus transfers when taking a bus. Most of the people who need to transfer are because the journey to the destination is relatively long, and it takes a long time to wait at the transfer point when transferring to the bus. this research wants to improve from this point to provide the public with a better travel experience. In order to reduce the waiting time for people to transfer when taking the bus, this research develops and designs a vehicle that can be freely separated and connected, so that people can directly transfer on the two connected buses without getting off the bus in the overlapping section of the route. through the innovative development and design of the APP, the public can quickly browse the overlapping sections and transfer details of the connected buses from their mobile phones before boarding the bus, and obtain more accurate and real-time bus dynamics, which can effectively disperse the crowd and maximize the load energy and improve the efficiency of the transportation system. Based on the research and problem analysis of the bus ride APPs that are widely used by the public on the market, it is found that most of the current bus ride APPs only provide simple real-time bus travel information. the transfer bus needs to search for a new bus again to obtain the dynamics of the transfer vehicle. this process is not only cumbersome, but also consumes a lot of time for the user to search for relevant information. In response to this problem, this study integrates the bus information on the same page. Passengers can i
this paper mainly discusses the design and development of intelligent reading and writing posture reminders based on Arduino. It is mainly developed with Arduino. It integrates distance measurement, time setting, ligh...
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In this work the proposed novel hexagonal patch antenna using hexagonal patch is designed on Porcelain dielectric substrate and its performance is analyzed by using SPSS software. the antenna has been analyzed for var...
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In recent years, the development of internet technology and digital innovation has made mobile application services and platform systems an indispensable part of daily life. the demand for augmented reality has been i...
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ISBN:
(纸本)9798400707735
In recent years, the development of internet technology and digital innovation has made mobile application services and platform systems an indispensable part of daily life. the demand for augmented reality has been increasing as a result. In 2020, it became a significant turning point, and according to international survey agencies and professional reports and data, since people's daily lives are inseparable from mobile phones, whether you are at work, in class, or leisure time, you will use your phone anytime and anywhere. Everyone's smartphone has different types of augmented reality apps, mainly in communication and socializing, map navigation, and gaming categories. When people use smartphones, they have already moved away from traditional phone call functions and focus on social interaction and communication behaviors. In Taiwan, everyone's smartphone will have a "social communication augmented reality app,"among which "Meta Spark, Line, and Snapchat Apps"are the three most used. the usability evaluation of the interface design and process operation, as well as the user experience satisfaction in these three apps, are even more critical. the development and application of digital services redefine social behavior patterns, and people's ways of making new friends have transitioned from traditional face-to-face meetings to virtual video meetings. the use of remote virtual video or smartphone video will become the norm. therefore, everyone establishes a new mode of communication and exchange through application software. In augmented reality social communication applications, how to quickly achieve user satisfaction in the "facial effect interface"and "function editing"processes, and the recognition of "image symbols"will be the most important issues. the purpose of this study is to conduct user experience testing and cognitive psychology research on the three social communication applications, "Meta Spark App, Line App, and Snapchat App". Using application softw
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