Remote sensors of Vegetable Activity to protect areas resistant to low soil moisture

Mapping Intimacies ◽

10.33774/coe-2021-h831f ◽

2021 ◽

Author(s):

Fernando Roque

Keyword(s):

Rainy Season ◽

Early Warning System ◽

Satellite Images ◽

Low Cost ◽

Warning System ◽

Napa Valley ◽

Remote Sensors ◽

Cost Strategy ◽

Drought Conditions ◽

Low Cost Strategy

Corte de Madera has a high vegetable activity measured by satellite despite the extreme drought conditions of the State during the years 2020-2021. Napa Valley suffered a severe decline in vegetable activity just after the rainy season of 2020 in April. It happened before the wildfires that affect the region in August 2020. Dixie region had a declining rainy season of 2020 and 2021 (November to April). The wildfires started in August. Satellite images could be a low-cost strategy to build an Early Warning System for wildfires.

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Trend of pneumonia diagnosis in emergency departments as a COVID-19 surveillance system: a time series study

BMJ Open ◽

10.1136/bmjopen-2020-044388 ◽

2021 ◽

Vol 11 (2) ◽

pp. e044388

Author(s):

Rossella Murtas ◽

Adriano Decarli ◽

Antonio Giampiero Russo

Keyword(s):

Time Series ◽

Emergency Departments ◽

Low Cost ◽

Warning System ◽

Aggregated Data ◽

Lombardy Region ◽

System A ◽

Cost Strategy ◽

Low Cost Strategy ◽

Influenza Outbreaks

ObjectiveIn Italy, the first diagnosis of COVID-19 was confirmed on 20 February 2020 in the Lombardy region. Given the rapid spread of the infection in the population, it was suggested that in Europe, and specifically in Italy, the virus had already been present in the last months of 2019. In this paper, we aim to evaluate the hypothesis on the early presence of the virus in Italy by analysing data on trends of access to emergency departments (EDs) of subjects with a diagnosis of pneumonia during the 2015–2020 period.DesignTime series cohort study.SettingWe collected data on visits due to pneumonia between 1 October 2015 and 31 May 2020 in all EDs of the Agency for Health Protection of Milan (ATS of Milan). Trend in the winter of 2019–2020 was compared with those in the previous 4 years in order to identify unexpected signals potentially associated with the occurrence of the pandemic. Aggregated data were analysed using a Poisson regression model adjusted for seasonality and influenza outbreaks.Primary outcome measures Daily pneumonia-related visits in EDs.Results In the studied period, we observed 105 651 pneumonia-related ED visits. Compared with the expected, a lower occurrence was observed in January 2020, while an excess of pneumonia visits started in the province of Lodi on 21 February 2020, and almost 10 days later was observed in the remaining territory of the ATS of Milan. Overall, the peak in excess was found on 17 March 2020 (369 excess visits compared with previous years, 95% CI 353 to 383) and ended in May 2020, the administrative end of the Italian lockdown.Conclusions An early warning system based on routinely collected administrative data could be a feasible and low-cost strategy to monitor the actual situation of the virus spread both at local and national levels.

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Investigation of in-feed organic acids as a low cost strategy to combat Salmonella in grower pigs

Preventive Veterinary Medicine ◽

10.1016/j.prevetmed.2017.02.008 ◽

2017 ◽

Vol 139 ◽

pp. 50-57 ◽

Cited By ~ 17

Author(s):

H. Lynch ◽

F.C. Leonard ◽

K. Walia ◽

P.G. Lawlor ◽

G. Duffy ◽

...

Keyword(s):

Organic Acids ◽

Low Cost ◽

Cost Strategy ◽

Low Cost Strategy

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Performance of the dynamically dimensioned search algorithm: influence of parameter initialization strategy when calibrating a physically based hydrological model

Hydrology Research ◽

10.2166/nh.2017.139 ◽

2017 ◽

Vol 49 (4) ◽

pp. 971-988 ◽

Cited By ~ 5

Author(s):

Franck Lespinas ◽

Ashu Dastoor ◽

Vincent Fortin

Keyword(s):

Search Algorithm ◽

Low Cost ◽

Initial Parameter ◽

Cost Strategy ◽

Physically Based ◽

Physically Based Models ◽

Calibration Solution ◽

Low Cost Strategy ◽

Parameter Values ◽

Initialization Strategy

Abstract This study presents an evaluation of the performance of the dynamically dimensioned search (DDS) algorithm when calibrating the hydrological component of the Visualizing Ecosystems for Land Management Assessments (VELMA) ecohydrological model. Two calibration strategies were tested for the initial parameter values: (1) a ‘high-cost strategy’, where 100 sets of initial parameter values were randomly chosen within the overall parameter space, and (2) a ‘low-cost strategy’, where a unique set of initial parameter values was derived from the available field data. Both strategies were tested for six different values of the maximum number of model evaluations ranging between 100 and 10,000. Results revealed that DDS is able to converge rapidly to a good parameter calibration solution of the VELMA hydrological component regardless of the parameter initialization strategy used. The accuracy and convergence efficiency of the DDS algorithm were, however, slightly better for the low-cost strategy. This study suggests that initializing the parameter values of complex physically based models using information on the watershed characteristics can increase the efficiency of the automatic calibration procedures.

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Internet-Based Flood Detection System (Iot) and Telegram Messenger Using Mcu Node and Water Level Sensor

JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING ◽

10.31289/jite.v4i1.3892 ◽

2020 ◽

Vol 4 (1) ◽

pp. 230-235

Author(s):

Novianda Nanda Nanda ◽

Rizalul Akram ◽

Liza Fitria

Keyword(s):

Water Level ◽

Early Warning ◽

High Intensity ◽

Rainy Season ◽

Early Warning System ◽

Detection System ◽

Warning System ◽

Level Sensor ◽

Flood Detection ◽

Internet Of Thing

During the rainy season, several regions in Indonesia experienced floods even to the capital of Indonesia also flooded. Some of the causes are the high intensity of continuous rain, clogged or non-smooth drainage, high tides to accommodate the flow of water from rivers, other causes such as forest destruction, shallow and full of garbage and other causes. Every flood disaster comes, often harming the residents who experience it. The late anticipation from the community and the absence of an early warning system or information that indicates that there will be a flood so that the community is not prepared to face floods that cause a lot of losses. Therefore it is necessary to have a detection system to provide early warning if floods will occur, this is very important to prevent material losses from flooded residents. From this problem the researchers designed an internet-based flood detection System of Things (IoT). This tool can later be controlled via a smartphone remotely and can send messages Telegram messenger to citizens if the detector detects a flood will occur.Keywords: Flooding, Smartphone, Telegram messenger, Internet of Thing (IoT).

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Induction motor downsizing as a low-cost strategy to save energy

Journal of Cleaner Production ◽

10.1016/j.jclepro.2011.11.014 ◽

2012 ◽

Vol 24 ◽

pp. 117-131 ◽

Cited By ~ 25

Author(s):

Fernando J.T.E. Ferreira ◽

Aníbal T. de Almeida

Keyword(s):

Induction Motor ◽

Low Cost ◽

Cost Strategy ◽

Low Cost Strategy ◽

Save Energy

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Low Cost 3D Early Warning System for Alpine Instable Slopes: The Aggenalm Landslide Monitoring System

Advanced Technologies in Earth Sciences - Early Warning for Geological Disasters ◽

10.1007/978-3-642-12233-0_15 ◽

2014 ◽

pp. 289-306 ◽

Cited By ~ 2

Author(s):

K. Thuro ◽

Th. Wunderlich ◽

O. Heunecke ◽

J. Singer ◽

P. Wasmeier ◽

...

Keyword(s):

Monitoring System ◽

Early Warning ◽

Early Warning System ◽

Low Cost ◽

Warning System ◽

Landslide Monitoring

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Business Strategy, State-Owned Equity and Cost Stickiness: Evidence from Chinese Firms

Sustainability ◽

10.3390/su12051850 ◽

2020 ◽

Vol 12 (5) ◽

pp. 1850

Author(s):

Tingyong Zhong ◽

Fangcheng Sun ◽

Haiyan Zhou ◽

Jeoung Yul Lee

Keyword(s):

Business Strategy ◽

Low Cost ◽

Differentiation Strategy ◽

Cost Strategy ◽

Cost Behavior ◽

Low Cost Strategy ◽

The Cost ◽

The Relationship ◽

Management Expectations ◽

Cost Stickiness

This paper investigates the relationship between business strategy and cost stickiness under different ownership. Using the data from listed firms in China from 2002 to 2015, we find that first, firms with different strategies exhibit different cost behavior. The cost stickiness of choosing a differentiation strategy is higher than that of choosing a low-cost strategy. Second, management expectations will affect cost stickiness. Optimistic expectations will increase cost stickiness, while pessimistic expectations will reduce cost stickiness. Third, management expectations can adjust the relationship between business strategy and cost stickiness in terms of government-created advantages (GCAs). If management expectations tend to be optimistic, the cost stickiness is higher with a differentiation strategy than with a low-cost strategy. If management expectations tend to be pessimistic, then cost stickiness is higher with a low-cost strategy than with a differentiation strategy. Finally, the state-owned equity affects the extent of the effect of a differentiation strategy on cost stickiness. State-owned firms, which receive more GCAs than non-state-owned firms, have stronger cost stickiness than non-state-owned firms, even if both categories of firms use more differentiation strategy.

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