scholarly journals Impact of the variation of the number of agents in the cooperative learning of optimal paths using LRTA-star

2021 ◽  
Author(s):  
Luan C. Klein ◽  
Cesar A. Tacla ◽  
Mariela Morveli-Espinoza
Keyword(s):  
Cooperative Learning ◽  
Real Time ◽  
Optimal Paths ◽  
Per Capita

Algoritmos de aprendizado de caminhos ótimos estão presentes em diversos cenários. Diante disso, o LRTA* (learning real time A*) surge como uma opção que concilia planejamento e ação. O presente artigo estuda como a variação da quantidade de agentes impacta nas distâncias percorridas por eles para encontrar o caminho ótimo utilizando o LRTA* em ambientes estáticos. Através de experimentos, observou-se a existência de uma relação de que ao aumentar o número de agentes, a quantidade de movimentos totais e per capita tendem a curvas matemáticas, sendo elas uma linear e uma exponencial decrescente, respectivamente. Por meio dessa relação, é possível definir a melhor quantidade de agentes na busca do caminho ótimo em termos de desempenho.

scholarly journals Robot Path Planning using Dynamic Programming with Accelerating Nodes

2012 ◽  
Vol 3 (1) ◽  
Author(s):  
Rahul Kala ◽  
Anupam Shukla ◽  
Ritu Tiwari
Keyword(s):  
Dynamic Programming ◽  
Path Planning ◽  
Real Time ◽  
Dynamic Environments ◽  
Experimental Results ◽  
Robot Path Planning ◽  
Optimal Paths ◽  
Additional Processing ◽  
Update Frequency ◽  
Robot Path

AbstractWe solve the problem of robot path planning using Dynamic Programming (DP) designed to perform well in case of a sudden path blockage. A conventional DP algorithm works well for real time scenarios only when the update frequency is high i.e. changes can be readily propagated. In case updates are costly, for a sudden blockage the robot continues moving along the wrong path or stands stationary. We propose a modified DP that has nodes with additional processing (called accelerating nodes) to enable different segments of the map to become informed about the blockage rapidly. We further quickly compute an alternative path in case of a blockage. Experimental results verify that usage of accelerating nodes makes the robot follow optimal paths in dynamic environments.

scholarly journals Sources and amounts of financial support for medical care in the institutions of the federal penitentiary service

2013 ◽  
Vol 94 (1) ◽  
pp. 114-116
Author(s):  
A M Tulenkov ◽  
S B Ponomarev
Keyword(s):  
Medical Care ◽  
Real Time ◽  
Financial Support ◽  
The State ◽  
State Funding ◽  
Actual State ◽  
National Healthcare ◽  
Per Capita ◽  
Sanitary Services

Aim. To evaluate the state financial guarantees for providing medical care to prisoners of penitentiary institutions. Methods. The general assessment of actual state funding of penitentiary healthcare as well as the shares of separate sources in funding of penitentiary healthcare at facilities of Russian Federal Penitentiary Service. Results. The combined funding of penitentiary healthcare increased up to 3 861 568.7 thousands of rubles in 2011 (twofold compared to 2009). Per capita funding was equal to 3844.0 rubles per year per Russian Federal Penitentiary Service facilities prisoner - 2.34 times higher compared to 2009. Hence, despite the total funding increase, the handicap compared to national healthcare funding is still huge. Conclusion. The gained data provides a real-time picture of the penitentiary healthcare funding and is necessary for improvement of medical and sanitary services in the Russian Federal Penitentiary Service institutions.

scholarly journals Development of Electronic Water Meter Based on Wireless Network and RF

2019 ◽  
Vol 9 (2) ◽  
pp. 3905-3908
Author(s):  
K. Gorenekli ◽  
Y. Becerikli
Keyword(s):  
Wireless Communication ◽  
Real Time ◽  
Water Consumption ◽  
Water Pressure ◽  
Geographical Location ◽  
The World ◽  
Average Water ◽  
Per Capita ◽  
Water Meters ◽  
System Water

The global need for water is increasing. Water must be used more economically in order to be sustainable. Water consumption per capita in Turkey is below the world regarding its geographical location. Manual reading water meters are inconvenient and time-consuming, they have low accuracy, they are very slow and resource wasting. Using wireless communication will mitigate these unwanted states. Consumers will be able to observe their water consumption in real time and be able to compare with the average water consumption in their district. With this system water pressure of whole pipes could be observed.

scholarly journals Electricity Use as a Real-Time Indicator of the Economic Burden of the COVID-19-Related Lockdown: Evidence from Switzerland

2020 ◽  
Vol 66 (4) ◽  
pp. 303-321
Author(s):  
Benedikt Janzen ◽  
Doina Radulescu
Keyword(s):  
Real Time ◽  
Electricity Consumption ◽  
Economic Effects ◽  
Federal Regulations ◽  
Construction Sites ◽  
Jel Codes ◽  
Industrial Companies ◽  
Electricity Use ◽  
Electricity Load ◽  
Per Capita

Abstract We employ hourly electricity load data for Switzerland as a real-time indicator of the economic effects of the lockdown following the spread of SARS-CoV-2. Our findings reveal that following the drastic lockdown, overall electricity use decreased by 4.6%, with a reduction of even 14.3% in the Canton of Ticino where the number of confirmed cases per capita was one of the highest in Switzerland and also stricter measures such as closures of construction sites and industrial companies were implemented on top of federal regulations. Looking at working days only, we estimate a Swiss-wide decrease in electricity consumption of 7.4%. Assuming industry, services, transport, and agriculture account for 67% of electricity demand, the 4.6% decrease in electricity use implies an almost 7% output reduction in these sectors. In addition, the reduced electricity imports and the change in the generation mix of neighbouring countries, also translates into reduced CO2 emissions related to these imports. (JEL codes: C53, Q4, C3)

scholarly journals Financing Municipal Tasks in Slovenia

2019 ◽  
Vol 19 (2) ◽  
pp. 173-206 ◽  
Author(s):  
Boštjan Brezovnik ◽  
Mateja Finžgar ◽  
Srečko Aleksander Padovnik ◽  
Franjo Mlinarič ◽  
Žan Jan Oplotnik
Keyword(s):  
Real Time ◽  
Local Communities ◽  
Cost Structure ◽  
The Real ◽  
Funding Model ◽  
Per Capita ◽  
The Republic ◽  
The Cost ◽  
Real Costs ◽  
Development Tasks

The paper examines whether the system implemented for financing local communities (municipalities) in Slovenia in the period 2010-2016 is compliant with the European Charter of Local Self-Government. We examined the cost coverage for performing the tasks of municipalities, the cost structure and the rate of interconnections between the budgeted funds under the eligible expenditure mechanism and the data collected on costs by municipality. Our hypothesis states that the principles whereby funding would be commensurate with tasks were not fulfilled in the period between 2010 and 2016 in the Republic of Slovenia given that the average per capita costs exceeded the funding under eligible expenditure. The discrepancy had increased from the previously examined period of 2007-2009. The findings show that although the principles of the European Charter of Local Self-Government have been satisfactorily included in the country’s laws, certain discrepancies have been found with regard to funding where the principle of municipal funding had not adequately been taken into account to ensure that funding is commensurate with the tasks. Between 2010 and 2016, municipalities received less funding than the scope of their tasks would require. The situation deteriorated in 2010–2016with respect to the 2007–2009 period when the existing funding model was introduced. The municipal funding model should be improved so that the eligible expenditure calculation takes into account in real time the real costs needed to perform the tasks of local communities; and the cost structure should be made more homogeneous. The model should be changed to consider and enable the performance of development tasks of municipalities through investments.

scholarly journals Active Peer-Based Flip Teaching

2019 ◽  
pp. 1-16 ◽  
Author(s):  
Francisco José García-Peñalvo ◽  
Ángel Fidalgo-Blanco ◽  
María Luisa Sein-Echaluce ◽  
María Sánchez-Canales
Keyword(s):  
Active Learning ◽  
Cooperative Learning ◽  
Real Time ◽  
Knowledge Creation ◽  
General Model ◽  
Collective Intelligence ◽  
Learning Object ◽  
Teaching Methodology ◽  
The Impact ◽  
At Home

The RT-CICLO model (real time – collective intelligence applied to a cooperative learning with a social base) is based on generalist processes identified in main active methodologies. This model has been developed as a general model. Therefore, it could be applicable to any active methodology. The main characteristic of the RT-CICLO method is not only to foster active learning, but also to enable students to acquire active skills. In this chapter, the RT-CICLO model is applied to a flip teaching methodology throughout all its phases (lesson at home and homework in the classroom). The main results are obtained in two steps. The first step confirms that students acquire active skills. The second one explores the impact of knowledge creation by students as a way to get feedback and to use the created knowledge as a learning object. It should be highlighted that students' perceptions are positive using this approach.

scholarly journals Real-time, interactive website for US-county level Covid-19 event risk assessment

2020 ◽  
Author(s):  
Aroon Chande ◽  
Seolha Lee ◽  
Mallory Harris ◽  
Troy Hilley ◽  
Clio Andris ◽  
...  
Keyword(s):  
Real Time ◽  
Case Reports ◽  
State Level ◽  
The United States ◽  
Data Driven ◽  
County Level ◽  
Infection Rates ◽  
Policy Makers ◽  
Event Risk ◽  
Per Capita

Large events and gatherings, particularly those taking place indoors, have been linked to multi-transmission events that have accelerated the pandemic spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). To provide real-time, geo-localized risk information, we developed an interactive online dashboard that estimates the risk that at least one individual with SARS-CoV-2 is present in gatherings of different sizes in the United States. The website combines documented case reports at the county level with ascertainment bias information obtained via population-wide serological surveys to estimate real time circulating, per-capita infection rates. These rates are updated daily as a means to visualize the risk associated with gatherings, including county maps and state-level plots. The website provides data-driven information to help individuals and policy-makers make prudent decisions (e.g., increasing mask wearing compliance and avoiding larger gatherings) that could help control the spread of SARS-CoV-2, particularly in hard-hit regions.

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