scholarly journals Probabilistic Global Scale Estimation for MonoSLAM Based on Generic Object Detection

2017 ◽  
Author(s):  
Edgar Sucar ◽  
Jean-Bernard Hayet
Keyword(s):  
Object Detection ◽  
Global Scale ◽  
Scale Estimation

scholarly journals Jellytoring: Real-Time Jellyfish Monitoring Based on Deep Learning Object Detection

Sensors ◽  
2020 ◽  
Vol 20 (6) ◽  
pp. 1708 ◽  
Author(s):  
Miguel Martin-Abadal ◽  
Ana Ruiz-Frau ◽  
Hilmar Hinz ◽  
Yolanda Gonzalez-Cid
Keyword(s):  
Object Detection ◽  
Real Time ◽  
Warning System ◽  
Cost Effective ◽  
Marine Species ◽  
Global Scale ◽  
Tourism Industry ◽  
Commercial Fishing ◽  
Anthropogenic Pressures ◽  
Effective Manner

During the past decades, the composition and distribution of marine species have changed due to multiple anthropogenic pressures. Monitoring these changes in a cost-effective manner is of high relevance to assess the environmental status and evaluate the effectiveness of management measures. In particular, recent studies point to a rise of jellyfish populations on a global scale, negatively affecting diverse marine sectors like commercial fishing or the tourism industry. Past monitoring efforts using underwater video observations tended to be time-consuming and costly due to human-based data processing. In this paper, we present Jellytoring, a system to automatically detect and quantify different species of jellyfish based on a deep object detection neural network, allowing us to automatically record jellyfish presence during long periods of time. Jellytoring demonstrates outstanding performance on the jellyfish detection task, reaching an F1 score of 95.2%; and also on the jellyfish quantification task, as it correctly quantifies the number and class of jellyfish on a real-time processed video sequence up to a 93.8% of its duration. The results of this study are encouraging and provide the means towards a efficient way to monitor jellyfish, which can be used for the development of a jellyfish early-warning system, providing highly valuable information for marine biologists and contributing to the reduction of jellyfish impacts on humans.

Global-Scale Estimation of Land Surface Heat Fluxes from Space

2013 ◽  
pp. 249-282 ◽  
Author(s):  
Matthew McCabe ◽  
Diego Miralles ◽  
Carlos Jimenez ◽  
Ali Ershadi ◽  
Joshua Fisher ◽  
...  
Keyword(s):  
Land Surface ◽  
Global Scale ◽  
Surface Heat ◽  
Heat Fluxes ◽  
Scale Estimation ◽  
Surface Heat Fluxes ◽  
Land Surface Heat Fluxes

Global-Scale Estimation of Land Surface Heat Fluxes from Space

2013 ◽  
pp. 447-462 ◽  
Author(s):  
Matthew McCabe ◽  
William Kustas ◽  
Cezar Kongoli ◽  
Ali Ershadi ◽  
Christopher Hain
Keyword(s):  
Land Surface ◽  
Global Scale ◽  
Surface Heat ◽  
Heat Fluxes ◽  
Scale Estimation ◽  
Surface Heat Fluxes ◽  
Land Surface Heat Fluxes

Bringing the World’s Children Into Focus: Cultivating Well-Being on a Global ScaleBringing the World’s Children Into Focus: Cultivating Well-Being on a Global Scale

PsycCRITIQUES ◽  
2015 ◽  
Vol 6060 (2828) ◽  
Author(s):  
Laura E. Berk ◽  
Gregory S. Braswell ◽  
Adena B. Meyers ◽  
Rocío Rivadeneyra ◽  
Maria Schmeeckle
Keyword(s):  
Well Being ◽  
Global Scale

Automatic accounting of Baikal diatomic algae: approaches and prospects

2019 ◽  
pp. 295-299
Author(s):  
Кonstantin А. Elshin ◽  
Еlena I. Molchanova ◽  
Мarina V. Usoltseva ◽  
Yelena V. Likhoshway
Keyword(s):  
Object Detection ◽  
Loss Function ◽  
Classification Accuracy ◽  
Diatom Species ◽  
Bounding Box ◽  
Synedra Acus ◽  
And Training

Using the TensorFlow Object Detection API, an approach to identifying and registering Baikal diatom species Synedra acus subsp. radians has been tested. As a result, a set of images was formed and training was conducted. It is shown that аfter 15000 training iterations, the total value of the loss function was obtained equal to 0,04. At the same time, the classification accuracy is equal to 95%, and the accuracy of construction of the bounding box is also equal to 95%.

Can Bitcoin be the Future of Digital Payments?

2019 ◽  
Vol 10 (6) ◽  
pp. 489-500
Author(s):  
Andrea Valente ◽  
◽  
David Atkinson ◽  
Keyword(s):  
Price Volatility ◽  
Global Scale ◽  
White Paper ◽  
Innovative Technology ◽  
Policy Makers ◽  
The Future ◽  
Key Drivers ◽  
Digital Payments ◽  
Robust Regulation ◽  
Stakeholder Acceptance

This study aimed to investigate the conditions in which Bitcoin has developed as a leading cryptocurrency and, according to Nakamoto (2008), could become an instrument for everyday payments around the world. In comparison to other digital payment solutions, Bitcoin is based on a peer-to-peer electronic cash system using “the blockchain”. This innovative technology allows for decentralised storage and movement of currency in a fully anonymous way, introducing advantageous methods for encrypted security and faster transactions (Hagiu & Beach, 2014). Scepticism regards Bitcoin’s foundation, energy consumption and price volatility, however, did not take long to arise (Holthaus, 2017). Ten years from its white paper release, Bitcoin is further supported by the same drivers which could sustain its growth as the future of digital payments (Russo, 2018). In order to investigate the key drivers and feasibility of acceptance, a London based survey was used to understand the desirability of Bitcoin as a day-to-day tool for digital payments. Additionally, this research analysed Bitcoin’s stakeholders and forecast drivers of sustainability for its application to become the future of the payment industry. A space which relies on policies that involve multiple layers of society, governments, regulators and tech-firms, all on a global scale. The findings confirmed how the increasing lack of trust of political and financial institutions, coupled with the increasing cases of data-breaches by tech-firms, encouraged over 70% of respondents to consider more decentralised and anonymous methods for their day-to-day actions; like payments. Policy makers need to cope with societies increasingly separating politically but gathering together digitally (LBS, 2017). For Bitcoin to truly establish itself as a global digital payment solution, key stakeholder acceptance must converge alongside the introduction of more robust regulation.

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