
Scientific Reports, Год журнала: 2024, Номер 14(1)
Опубликована: Сен. 27, 2024
Язык: Английский
Scientific Reports, Год журнала: 2024, Номер 14(1)
Опубликована: Сен. 27, 2024
Язык: Английский
Applied Sciences, Год журнала: 2024, Номер 14(4), С. 1346 - 1346
Опубликована: Фев. 6, 2024
Additive manufacturing (AM), commonly named 3D printing, is a promising technology for many applications. It the most viable option widespread use in automated construction processes, especially harsh environments such as underwater. Some contemporary applications of this have been tested underwater environments, but there are still number problems to be solved. This study focuses on current development printing applications, including required improvements itself, well new materials. Information about involving part fabrication via AM also provided. The article based literature review that supplemented by case studies practical main findings show usage additive can bring advantages—for instance, increasing work safety, limiting environmental burden, and high efficiency. Currently, only few prototype developed. However, tool develop new, effective larger scale. materials used, require optimization.
Язык: Английский
Процитировано
7Scientific Reports, Год журнала: 2023, Номер 13(1)
Опубликована: Ноя. 30, 2023
Abstract Technological innovations that improve the speed, scale, reproducibility, and accuracy of monitoring surveys will allow for a better understanding global decline in tropical reef health. The DiveRay, diver-operated hyperspectral imager, complementary machine learning pipeline to automate analysis imagery were developed this purpose. To evaluate use imager underwater, automated classification benthic taxa communities was tested. Eight reefs Guam surveyed two approaches employed: high taxonomic resolution categories broad categories. results from DiveRay validated against data concurrently conducted photoquadrat determine their utility as proxy surveys. classifications did not reliably predict when compared those obtained by standard analysis. At level categories, however, comparable This particularly true estimating scleractinian coral cover, which accurately predicted six out eight sites. annotation libraries generated study insufficient train model fully account biodiversity on Guam’s reefs. As such, prediction is expected with additional surveying image annotation. first directly compare underwater scanning traditional survey techniques across multiple sites levels identification different degrees certainty. Our findings show dependent well-annotated library, imaging can be used quickly, repeatedly, monitor map dynamic using
Язык: Английский
Процитировано
10Applied Sciences, Год журнала: 2025, Номер 15(8), С. 4216 - 4216
Опубликована: Апрель 11, 2025
In recent years, additive manufacturing technologies have been employed for ecological projects, especially those connected with artificial reefs. This approach brings a lot of advantages, including the design more complex structures, surfaces fitted to needs water organisms. technology can effectively support and engineering, in restoration efforts. The main aim this article is demonstrate state art further perspectives development coral based on critical analysis literature, supported by selected case studies. describes current used creation reefs, putting emphasis manufacturing, evaluates currently materials, summarizes influence ecosystems through It also discusses challenges limitations 3D printing reefs as well presents trends directions. most important findings show that analyzed field promising interdisciplinary research area practical implementations require collaboration between specialists from different branches.
Язык: Английский
Процитировано
0PLoS ONE, Год журнала: 2024, Номер 19(3), С. e0299523 - e0299523
Опубликована: Март 19, 2024
The island of Guam in the west Pacific has seen a significant decrease coral cover since 2013. Lafac Bay, marine protected area northeast Guam, served as reference site for benthic communities typical forereefs on windward side island. staghorn Acropora abrotanoides is dominant and characteristic ecosystem engineer forereef exposed shorelines. Photoquadrat surveys were conducted 2015, 2017, 2019, diver-operated hyperspectral imager (i.e., DiveRay) was used to survey same transects 2019. Machine learning algorithms develop an automated pipeline assess 10 biotic abiotic categories 2019 based imagery. scleractinian corals did not differ between 2015 2017 despite being subjected series environmental disturbances these years. Surveys documented almost complete decline habitat-defining (a practically disappearance from about 10% cover), (~75%) other corals, increase (~55%) combined bare substrate, turf algae, cyanobacteria. drastic change community composition suggests that reef at Bay transitioning algae-dominated community. However, capacity this recover previous transition could be reversed, making excellent candidate long-term monitoring. Community analyses showed no difference automatically classified estimates derived scans those photoquadrats. These findings suggest underwater imagers can efficient effective tools fast, frequent, accurate monitoring dynamic communities.
Язык: Английский
Процитировано
0IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, Год журнала: 2024, Номер unknown, С. 7580 - 7583
Опубликована: Июль 7, 2024
Язык: Английский
Процитировано
0Scientific Reports, Год журнала: 2024, Номер 14(1)
Опубликована: Сен. 27, 2024
Язык: Английский
Процитировано
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