The quality of street lighting installations under changing weather conditions

1972 ◽  
Vol 4 (2) ◽  
pp. 90-96 ◽  
Author(s):  
E. Frederiksen ◽  
J. Gudum
Keyword(s):  
Weather Conditions ◽  
Street Lighting

scholarly journals Surface Quality of the Materials used for Lighting Columns

2019 ◽  
Vol 1 (1) ◽  
pp. 417-424
Author(s):  
Agata Dudek ◽  
Andrii Goroshko
Keyword(s):  
Surface Quality ◽  
Manufacturing Process ◽  
Weather Conditions ◽  
Electrical Safety ◽  
Light Weight ◽  
Street Lighting ◽  
Maintenance Costs ◽  
Road Users ◽  
Materials Used

Abstract Quality of the lighting columns plays a major role in the comfort and safety of life of road users. The surface quality of the materials used in the columns is especially critical during extreme weather conditions. Road infrastructure, including street lighting, uses modern lightweight materials from the group of non-ferrous materials or composites. The materials used in the manufacturing process ensure important advantages, such as durability, electrical safety, aesthetic qualities, low maintenance costs, light weight, and easy transport and assemble. This paper presents an analysis of the quality of coatings used for street lighting columns.

Water quality of Tampa Bay, Florida : wet-weather conditions, October 1971

1975 ◽  
Author(s):  
Carl R. Goodwin ◽  
Joseph S. Rosenshein ◽  
D.M. Michaelis
Keyword(s):  
Water Quality ◽  
Weather Conditions ◽  
Tampa Bay ◽  
Wet Weather

Robust Environmental Sensing Using UAVs

2021 ◽  
Vol 2 (4) ◽  
pp. 1-20
Author(s):  
Ahmed Boubrima ◽  
Edward W. Knightly
Keyword(s):  
Air Pollution ◽  
Gas Sensors ◽  
High Performance ◽  
Weather Conditions ◽  
Ambient Air ◽  
Mission Planning ◽  
Pollution Monitoring ◽  
Compound Pollution ◽  
Planning Algorithm

In this article, we first investigate the quality of aerial air pollution measurements and characterize the main error sources of drone-mounted gas sensors. To that end, we build ASTRO+, an aerial-ground pollution monitoring platform, and use it to collect a comprehensive dataset of both aerial and reference air pollution measurements. We show that the dynamic airflow caused by drones affects temperature and humidity levels of the ambient air, which then affect the measurement quality of gas sensors. Then, in the second part of this article, we leverage the effects of weather conditions on pollution measurements’ quality in order to design an unmanned aerial vehicle mission planning algorithm that adapts the trajectory of the drones while taking into account the quality of aerial measurements. We evaluate our mission planning approach based on a Volatile Organic Compound pollution dataset and show a high-performance improvement that is maintained even when pollution dynamics are high.

scholarly journals Economic Analysis of a Transport Company in the Aspect of Car Vehicle Operation

2021 ◽  
Vol 13 (1) ◽  
pp. 427
Author(s):  
Magdalena Rykała ◽  
Łukasz Rykała
Keyword(s):  
Weather Conditions ◽  
Neural Model ◽  
Motor Vehicles ◽  
Bulk Materials ◽  
The Sustainable Development ◽  
Average Temperature ◽  
Transport Services ◽  
Vehicle Operation ◽  
The Impact

The article describes the issues of transport of bulk materials. The knowledge of this process has a key impact on the rational planning of transport tasks. It is necessary to have knowledge about the transport services market and the competition that exists in it. In order to achieve a competitive advantage on the market, enterprises should analyze data on the implementation of transport tasks on an ongoing basis. It is also important that the costs incurred from the conducted activity are minimized, while increasing the quality of services and taking into account the sustainable development of the enterprise. The study analyzes data from a few selected motor vehicles in the period of 3 years of operation, coming from an enterprise specializing in the transport of bulk materials. Moreover, a global sensitivity analysis was performed based on a neural model describing the impact of the analyzed factors on the company’s profit. The results show that the most important factors influencing the company’s profit are the fuel consumption of individual vehicles, the driver (driving style) and the month (average temperature, weather conditions).

scholarly journals Modeling of Yield Losses Caused by Potato Late Blight on Eight Cultivars with Different Levels of Resistance to Phytophthora infestans

Plant Disease ◽  
2012 ◽  
Vol 96 (7) ◽  
pp. 935-942 ◽  
Author(s):  
Toky Rakotonindraina ◽  
Jean-Éric Chauvin ◽  
Roland Pellé ◽  
Robert Faivre ◽  
Catherine Chatot ◽  
...  
Keyword(s):  
Late Blight ◽  
Phytophthora Infestans ◽  
Relative Yield ◽  
Weather Conditions ◽  
Potato Late Blight ◽  
Yield Losses ◽  
Predictive Quality ◽  
Wide Range ◽  
Cultivar Susceptibility

The Shtienberg model for predicting yield loss caused by Phytophthora infestans in potato was developed and parameterized in the 1990s in North America. The predictive quality of this model was evaluated in France for a wide range of epidemics under different soil and weather conditions and on cultivars different than those used to estimate its parameters. A field experiment was carried out in 2006, 2007, 2008, and 2009 in Brittany, western France to assess late blight severity and yield losses. The dynamics of late blight were monitored on eight cultivars with varying types and levels of resistance. The model correctly predicted relative yield losses (efficiency = 0.80, root mean square error of prediction = 13.25%, and bias = –0.36%) as a function of weather and the observed disease dynamics for a wide range of late blight epidemics. In addition to the evaluation of the predictive quality of the model, this article provides a dataset that describes the development of various late blight epidemics on potato as a function of weather conditions, fungicide regimes, and cultivar susceptibility. Following this evaluation, the Shtienberg model can be used with confidence in research and development programs to better manage potato late blight in France.

scholarly journals A Review of Detection and Removal of Raindrops in Automotive Vision Systems

2021 ◽  
Vol 7 (3) ◽  
pp. 52
Author(s):  
Yazan Hamzeh ◽  
Samir A. Rawashdeh
Keyword(s):  
Detrimental Effect ◽  
Weather Conditions ◽  
Traffic Sign ◽  
Survey Paper ◽  
Sign Recognition ◽  
Adverse Weather Conditions ◽  
Wide Range ◽  
Adverse Weather ◽  
Protective Cover

Research on the effect of adverse weather conditions on the performance of vision-based algorithms for automotive tasks has had significant interest. It is generally accepted that adverse weather conditions reduce the quality of captured images and have a detrimental effect on the performance of algorithms that rely on these images. Rain is a common and significant source of image quality degradation. Adherent rain on a vehicle’s windshield in the camera’s field of view causes distortion that affects a wide range of essential automotive perception tasks, such as object recognition, traffic sign recognition, localization, mapping, and other advanced driver assist systems (ADAS) and self-driving features. As rain is a common occurrence and as these systems are safety-critical, algorithm reliability in the presence of rain and potential countermeasures must be well understood. This survey paper describes the main techniques for detecting and removing adherent raindrops from images that accumulate on the protective cover of cameras.

scholarly journals Model of pre-harvest quality of pineapple guava fruits (Acca sellowiana (O. berg) burret) as a function of weather conditions of the crops

Bragantia ◽  
2017 ◽  
Vol 76 (1) ◽  
pp. 177-186 ◽  
Author(s):  
Alfonso Parra-Coronado ◽  
Gerhard Fischer ◽  
Jesús Hernán Camacho-Tamayo
Keyword(s):  
Weather Conditions ◽  
Pineapple Guava ◽  
Acca Sellowiana

scholarly journals Seed production of lemon balm and the quality of its seeds in the middle of the Volga region

2019 ◽  
pp. 34-36
Author(s):  
Ilya Alexandrovich Khapugin
Keyword(s):  
Seed Production ◽  
Weather Conditions ◽  
Mineral Fertilizers ◽  
Small Scale ◽  
Melissa Officinalis ◽  
Seed Productivity ◽  
Lemon Balm ◽  
Maximum Productivity ◽  
Scale Experiment

The influence of mineral fertilizers on seed productivity and quality of obtained seeds of lemon balm (Melissa officinalis L.) was studied in the field small-scale experiment under conditions of unstable moistening of the Mordovia Republic. As a result, it was found that seed productivity varied depending on weather conditions and the types of fertilizers introduced. It was shown that the maximum productivity of Melissa officinalis plants was on the variant with the use of phosphorus-potassium fertilizers at a dose of P60K90 (71.2±78.5 g/m2 in 2017 and 48.8±4.3 g/m2 in 2018), while it exceeded the control variant by 74-91 %. The total germination of seeds of Melissa officinalis practically did not change over the years, and was in the range of 37-39 %. Separation of seeds according to the degree of aging allowed to increase germination 11.4-13.3 %.  

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