scholarly journals Investigation on the Lightning Location and Warning System Using Artificial Intelligence

2021 ◽  
Vol 2021 ◽  
pp. 1-11 ◽  
Author(s):  
Tianru Shi ◽  
Danhui Hu ◽  
Xiang Ren ◽  
Zeqi Huang ◽  
Yaodong Zhang ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Warning System ◽  
Location System ◽  
Detection Circuit ◽  
Depth Study ◽  
Orientation Method ◽  
Lightning Location System ◽  
New Generation ◽  
Lightning Accident ◽  
Central Station

An in-depth study on a lighting location system is conducted in this paper. Firstly, the history and application of this system are summarized. The overall structure is detailed, including the detection principle of the lightning location, the orientation method, the detection circuit, the method of discriminating cloud flash and ground lightning signal, the error analysis, the guideline for station deployment, the preprocessing of the central station, and the function and structure of data server and user interface. The development of a lightning monitoring system in China is presented, and the construction of a new generation of a lightning location system in the Hubei Province power grid is introduced. Through the collection of measured data, the performance of the lightning location system in the lightning accident inspection rate, lightning location, and lightning situation statistics are analyzed. Artificial intelligence algorithms are applied in the lightning warning system. The new system has a high predicting accuracy.

scholarly journals Power network lightning accident quick inquiry with the lightning location system

2008 ◽  
Vol 11 (1) ◽  
pp. 43-48 ◽  
Author(s):  
Zhiping Nie ◽  
Wenguang Zhao ◽  
Ping Zhang ◽  
Yinping Wen ◽  
Weijiang Chen
Keyword(s):  
Power Network ◽  
Location System ◽  
Lightning Location System ◽  
Lightning Accident

Real-World Experience with Artificial Intelligence-Based Triage in Transferred Large Vessel Occlusion Stroke Patients

2021 ◽  
pp. 1-6
Author(s):  
Jacob R. Morey ◽  
Xiangnan Zhang ◽  
Kurt A. Yaeger ◽  
Emily Fiano ◽  
Naoum Fares Marayati ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Clinical Outcomes ◽  
Warning System ◽  
Large Vessel ◽  
Time Interval ◽  
Large Vessel Occlusion ◽  
Time Intervals ◽  
Vessel Occlusion ◽  
Left Behind ◽  
Stroke Center

<b><i>Background and Purpose:</i></b> Randomized controlled trials have demonstrated the importance of time to endovascular therapy (EVT) in clinical outcomes in large vessel occlusion (LVO) acute ischemic stroke. Delays to treatment are particularly prevalent when patients require a transfer from hospitals without EVT capability onsite. A computer-aided triage system, Viz LVO, has the potential to streamline workflows. This platform includes an image viewer, a communication system, and an artificial intelligence (AI) algorithm that automatically identifies suspected LVO strokes on CTA imaging and rapidly triggers alerts. We hypothesize that the Viz application will decrease time-to-treatment, leading to improved clinical outcomes. <b><i>Methods:</i></b> A retrospective analysis of a prospectively maintained database was assessed for patients who presented to a stroke center currently utilizing Viz LVO and underwent EVT following transfer for LVO stroke between July 2018 and March 2020. Time intervals and clinical outcomes were compared for 55 patients divided into pre- and post-Viz cohorts. <b><i>Results:</i></b> The median initial door-to-neuroendovascular team (NT) notification time interval was significantly faster (25.0 min [IQR = 12.0] vs. 40.0 min [IQR = 61.0]; <i>p</i> = 0.01) with less variation (<i>p</i> &#x3c; 0.05) following Viz LVO implementation. The median initial door-to-skin puncture time interval was 25 min shorter in the post-Viz cohort, although this was not statistically significant (<i>p</i> = 0.15). <b><i>Conclusions:</i></b> Preliminary results have shown that Viz LVO implementation is associated with earlier, more consistent NT notification times. This application can serve as an early warning system and a failsafe to ensure that no LVO is left behind.

scholarly journals Mechanical and Durability Properties of Portland Limestone Cement (PLC) Incorporated with Nano Calcium Carbonate (CaCO3)

Materials ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 905 ◽  
Author(s):  
Lochana Poudyal ◽  
Kushal Adhikari ◽  
Moon Won
Keyword(s):  
Calcium Carbonate ◽  
Environmental Sustainability ◽  
Green Infrastructure ◽  
Durability Properties ◽  
Portland Limestone Cement ◽  
Global Environmental ◽  
Depth Study ◽  
Series Of Experiments ◽  
Limestone Cement ◽  
New Generation

Despite lower environmental impacts, the use of Portland Limestone Cement (PLC) concrete has been limited due to its reduced later age strength and compromised durability properties. This research evaluates the effects of nano calcium carbonate (CaCO3) on the performance of PLC concrete. The study follows a series of experiments on the fresh, hardened, and durability properties of PLC concrete with different replacement rates of nano CaCO3. Incorporation of 1% nano CaCO3 into PLC concrete provided the optimal performance, where the 56 days compressive strength was increased by approximately 7%, and the permeability was reduced by approximately 13% as compared to Ordinary Portland Cement (OPC) concrete. Further, improvements were observed in other durability aspects such as Alkali-Silica Reaction (ASR) and scaling resistance. Additionally, nano CaCO3 has the potential to be produced within the cement plant while utilizing the CO2 emissions from the cement industries. The integration of nanotechnology in PLC concrete thus will help produce a more environment-friendly concrete with enhanced performance. More in-depth study on commercial production of nano CaCO3 thus has the potential to offer a new generation cement—sustainable, economical, and durable cement—leading towards green infrastructure and global environmental sustainability.

An Artificial Intelligence-based Proactive Blind Spot Warning System for Motorcycles

2020 ◽  
Author(s):  
Ing-Chau Chang ◽  
Wei-Rong Chen ◽  
Xun-Mei Kuo ◽  
Ya-Jing Song ◽  
Ping-Hao Liao ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Warning System ◽  
Blind Spot

Big Data Technology, Evolving Knowledge Skills and Emerging Roles

2016 ◽  
Vol 16 (4) ◽  
pp. 219-224 ◽  
Author(s):  
Alex Smith
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Emerging Technology ◽  
Law Firms ◽  
Support Functions ◽  
Legal Problems ◽  
Artificial Intelligence Technology ◽  
Domain Expertise ◽  
New Generation ◽  
Big Data Technology

AbstractIn a world where articles and tweets are discussing how artificial intelligence technology will replace humans, including lawyers and their support functions in firms, it can be hard to understand what the future holds. This article, written by Alex Smith, is based on his presentation at the British and Irish Association of Law Librarians conference in Dublin 2016 and looks at demystifying the emerging technology boom and identifies the expertise needed to make these tools work and be deployed in law firms. The article then looks at the skills and expertise of the knowledge and information teams, based in law firms, and suggests how they are ideally placed to lead these challenges as a result of their domain expertise and their existing, well defined skills that are essential to this new generation of technology. The article looks at the new technical environment, the emerging areas of products and legal problems, the skills needed for the new roles that this revolution is creating and how this could fit into a reimagined knowledge team.

Authorship in the Age of Machine Learning and Artificial Intelligence

2021 ◽  
Author(s):  
J.-M. Deltorn ◽  
Franck Macrez
Keyword(s):  
Neural Network ◽  
Artificial Intelligence ◽  
Machine Learning ◽  
Musical Work ◽  
Musical Works ◽  
New Generation ◽  
Specific Contribution

A new generation of machine learning (ML) and artificial intelligence (AI) creative tools are now at the disposal of musicians, professionals and amateurs alike. These new technical intermediaries allow the production of unprecedented forms of compositions, from generating new works by mimicking a style or by mixing a curated ensemble of musical works to letting an algorithm complete one’s own creation in unexpected directions or by letting an artist interact with the parameters of a neural network to explore fresh musical avenues. Unsurprisingly, this new spectrum of algorithmic compositions question both the nature and the degree of involvement of the creator in the musical work. As a consequence, the issue of authorship and, in particular, the assessment of the specific contribution of a (human) creator through the algorithmic pipeline may require special scrutiny when AI and ML tools are used to produce musical works.

Famine of 1943 in Bakarganj and British Colonial Policy

2021 ◽  
Vol 8 (2) ◽  
pp. 231-240
Author(s):  
Muhammad Saiful Islam ◽  
Tasnuva Habib Zisan
Keyword(s):  
Warning System ◽  
Vital Role ◽  
Local History ◽  
Government Failure ◽  
Colonial Policy ◽  
Depth Study ◽  
Government Inspection ◽  
Large Production ◽  
British Colonial ◽  
The Government

In the vast literature of Bengal famine of 1943, it is hard to offer new insights about that vicious source of mass misery. Local history may mark a significant departure here, as it provides scope for an in-depth study of both the origin and course of the famine. Bakarganj was called the granary of Bengal, which used to supply rice to other regions even in the driest years due to its large production. But the famine of 1943 gravely affected this district. The present study shows how it was the colonial measures that played a vital role in intensifying the famine in Bakarganj. The government’s led to: hoarding of rice and serious shortage of food supply. The article concentrates on four aspects of the government failure: inappropriate warning system, callous purchase policy, lack of effective government inspection and a policy of disaster denial.

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