scholarly journals Effects of Weather Conditions on Satellite Television Cable Network Reception Quality in Warri Metropolis, Delta State, Nigeria

2018 ◽  
pp. 1-21
Author(s):  
Imarhiagbe, Chukwuyem Graham ◽  
Ojeh, Vincent Nduka
Keyword(s):  
Wind Speed ◽  
Weather Conditions ◽  
Policy Implications ◽  
Signal Quality ◽  
Satellite Television ◽  
Cable Network ◽  
Weather Parameters ◽  
R Value ◽  
Rainy Days

The study examined the effects of weather conditions on satellite television cable network reception quality. The ex-post facto research design was used. The primary data were generated through personal observation/monitoring of Television sets that were connected to the three prominent networks (MYTV, DSTV, and HITV) in Warri. Rainfall stations were established in each of the sample areas and were used to collect rainfall amount between the months of May and August, being rainy season in the location. Additionally, wind speed, humidity, temperature and rainfall data were collected from the archives of the Nigerian Meteorological Agencies office in Warri for 20 years. A total of fifteen (15) TV sets and fifteen modems of MYTV, DSTV and HITV satellite-cable network were utilized for this study. Results showed that there is variation in the trends of climate parameters in Warri. There is variability in the rainfall, relative humidity as well as the wind speed trends in Warri from 1991-2011. The variations in these climate attributes have effects on the durability and functionalities of satellite cable network in the area. The reception quality for MYTV reduced from 69.8% on days without rainfall to 15.4% on rainy days during the study period, while DSTV signal quality reception was also reduced by rainfall and weather effect to 20.4% on rainy days from 85.6% mean on days without rainfall. HITV signal quality reception of 33.4% on days without rainfall was reduced to 7.2% by the effect of rainfall. Rainfall impairs signal quality. Further, the result revealed that there is a significant variation in cable network reception qualities of MYTV, DSTV and HITV. This is evident from the calculated F-value of 1028.136 which was greater than the critical table-value of 19.49 at 0.05 significant level. The r value shows a correlation of 0.989 between rainfall and MYTV reception quality.  However, the R² value of 0.977 shows that 97.7% variation in the quality of signal reception from MYTV is explained by other weather parameters. The r value shows a correlation of 0.994 between wind speed and DSTV reception quality.  However, the R² value of 0.988 shows that the quality of the signal reception from DSTV is explained by 98.8% dependency on weather parameters. Similarly, the r value shows a correlation of 0.970 rainfall and HITV reception quality.  However, the R² value of 0.942 shows that the quality of the signal reception from MYTV is explained by 94.2% dependency on weather parameters. The policy implications of the findings of this study are that adequate and well-implemented weather  monitoring with remote sensing/satellite-based platforms should be captured in the national laws of Nigeria.  

scholarly journals Potato late blight disease prediction using meteorological parameters in Northern Himalayas of India

2021 ◽  
Vol 23 (3) ◽  
pp. 310-315
Author(s):  
W. A. DAR ◽  
F. A. PARRY ◽  
B. A. BHAT
Keyword(s):  
Wind Speed ◽  
Relative Humidity ◽  
Late Blight ◽  
Weather Conditions ◽  
Potato Late Blight ◽  
Disease Development ◽  
Potato Blight ◽  
Late Blight Disease ◽  
Weather Parameters ◽  
Blight Disease

Weather parameters play an important role in the spread of potato late blight of caused by Phytophthora infestans (Mont.) de Bary has historically been serious disease of potatoes through worldwide, including India. Due to spatial variation in prevailing weather conditions, its severity varies from region to region. Disease development process and the weather parameters are well understood and have been utilized for disease developing forecasting models and decision support system. Therefore, an experiment was conducted for two consecutive cropping seasons (2017 & 2018) to develop a forecasting model against late blight of potato using stepwise regression analysis for Northern Himalayas in India. Maximum and minimum temperature, relative humidity, rainfall and wind speed appeared to be most significant factors in the potato late blight disease development. The meteorological conditions conducive for the development of potato late blight disease were characterized. Maximum and minimum temperatures in the range of 15.0 – 28.0°C and 2.0 – 12.0°C were found favorable for potato blight disease. Similarly, relative humidity, rainfall and wind speed in the range of 85 - 95 per cent, 15.5 - 20.75 mm and 1.0 - 5.5 Km h-1, respectively, were conducive for potato late blight disease which are helpful in disease development.

scholarly journals The Use of Weather Website Data for Construction Project Decision-Making in The Short Term

2022 ◽  
Vol 961 (1) ◽  
pp. 012038
Author(s):  
Safaa S. Mohammed ◽  
Noor R. Kadhim ◽  
Abdulrasool Thamer Abdulrasool ◽  
Hasan Ibrahim Al Shaikhli
Keyword(s):  
Decision Making ◽  
Wind Speed ◽  
Construction Projects ◽  
Weather Conditions ◽  
Short Term ◽  
Weather Factors ◽  
Uv Index ◽  
Factors Affecting ◽  
Location Data

Abstract In most work sites, it is a priority to keep the work going well and to avoid unforeseen incidents. Fluctuations in weather conditions are one of the factors affecting the continuity of work in construction projects. Indeed, for example, the temperature is important in concrete and asphalt works, and wind speed is important in lifting and high construction works. Therefore, taking the appropriate decision, starting and completing the work, is very important to maintain the quality of the project. This research aims to demonstrate the reliability of short-term decision-making through data taken from the weather site five days before the time to work. The data was collected for a month, five days before the intended day and on the same day, day and night, for different weather factors by weather location such as temperature, humidity, possibility of rain, Uv index, wind speed. By analyzing the data, it was found that there was little difference in those predictors of all the factors recorded. To conclude at the end of the study that it is possible to rely on the decision-making on the weather location in small and medium projects, but in large and sensitive projects, they need to rely on more accurate data than relying on weather location data.

An Efficient Hybrid Forecasting Approach for Wind Speed Time Series

2017 ◽  
Vol 7 (9) ◽  
pp. 13
Author(s):  
Bhargavi Munnaluri ◽  
K. Ganesh Reddy
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Wind Speed ◽  
Fossil Fuels ◽  
Renewable Energy Sources ◽  
Support Vector ◽  
Hybrid Forecasting ◽  
Artificial Neural ◽  
Future Utilization

Wind forecasting is one of the best efficient ways to deal with the challenges of wind power generation. Due to the depletion of fossil fuels renewable energy sources plays a major role for the generation of power. For future management and for future utilization of power, we need to predict the wind speed.  In this paper, an efficient hybrid forecasting approach with the combination of Support Vector Machine (SVM) and Artificial Neural Networks(ANN) are proposed to improve the quality of prediction of wind speed. Due to the different parameters of wind, it is difficult to find the accurate prediction value of the wind speed. The proposed hybrid model of forecasting is examined by taking the hourly wind speed of past years data by reducing the prediction error with the help of Mean Square Error by 0.019. The result obtained from the Artificial Neural Networks improves the forecasting quality.

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 The Optical Signal-to-Crosstalk Ratio for the MBA(N, e, g) Switching Fabric †

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1534
Author(s):  
Remigiusz Rajewski
Keyword(s):  
Optical Switching ◽  
Essential Feature ◽  
Optical Signal ◽  
Point Of View ◽  
Signal Quality ◽  
Switching Networks ◽  
Optical Elements ◽  
Optical Signals ◽  
Switching Fabric

The banyan-type switching networks, well known in switching theory and called the logdN switching fabrics, are composed of symmetrical switching elements of size d×d. In turn, the modified baseline architecture, called the MBA(N,e,g), is only partially built from symmetrical optical switching elements, and it is constructed mostly from asymmetrical optical switching elements. Recently, it was shown that the MBA(N,e,g) structure requires a lower number of passive as well as active optical elements than the banyan-type switching fabric of the same capacity and functionality, which makes it an attractive solution. However, the optical signal-to-crosstalk ratio for the MBA(N,e,g) was not investigated before. Therefore, in this paper, the optical signal-to-crosstalk ratio in the MBA(N,e,g) was determined. Such crosstalk influences the output signal’s quality. Thus, if such crosstalk is lower, the signal quality is better. The switching fabric proposed in the author’s previous work has lower optical signal losses than a typical Beneš and banyan-type switching networks of this same capacity and functionality, which gives better quality of transmitted optical signals at the switching node’s output. The investigated MBA(N,e,g) architecture also contains one stage fewer than banyan-type network of the same capacity, which is an essential feature from the optical switching point of view.

scholarly journals Parental Involvement Policies for Minors Seeking Abortion in the Southeast and Quality of Care

2021 ◽  
Author(s):  
Kari White ◽  
Subasri Narasimhan ◽  
Sophie A. Hartwig ◽  
Erin Carroll ◽  
Alexandra McBrayer ◽  
...  
Keyword(s):  
Quality Of Care ◽  
Parental Involvement ◽  
Service Delivery ◽  
Quality Care ◽  
Health Service Delivery ◽  
Policy Implications ◽  
Patient Centeredness ◽  
Patient Centered ◽  
Staff Members

Abstract Introduction Thirty-seven states require minors seeking abortion to involve a parent, either through notification or consent. Little research has examined how implementation of these laws affect service delivery and quality of care for those who involve a parent. Methods Between May 2018 and September 2019, in-depth interviews were conducted with 34 staff members involved in scheduling, counseling, and administration at abortion facilities in three Southeastern states. Interviews explored procedures for documenting parental involvement, minors’ and parents’ reactions to requirements, and challenges with implementation and compliance. Both inductive and deductive codes, informed by the Institute of Medicine’s healthcare quality framework, were used in the thematic analysis. Results Parental involvement laws adversely affected four quality care domains: efficiency, patient-centeredness, timeliness, and equity. Administrative inefficiencies stemmed from the extensive documentation needed to prove an adult’s relationship to a minor, increasing the time and effort needed to comply with state reporting requirements. If parents were not supportive of their minor’s decision, participants felt they had a duty to intervene to ensure the minor’s decision and needs remained centered. Staff further noted that delays to timely care accumulated as minors navigated parental involvement and other state mandates, pushing some beyond gestational age limits. Lower income families and those with complex familial arrangements had greater difficulty meeting state requirements. Conclusions Parental involvement mandates undermine health service delivery and quality for minors seeking abortion services in the Southeast. Policy Implications Removing parental involvement requirements would protect minors’ reproductive autonomy and support the provision of equitable, patient-centered healthcare.

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).

School Catchment Zone Mergers and Housing Wealth Redistribution

2021 ◽  
pp. 0739456X2110067
Author(s):  
Siu Kei Wong ◽  
Kuang Kuang Deng
Keyword(s):  
School Quality ◽  
Housing Prices ◽  
Estimation Method ◽  
Policy Implications ◽  
Housing Wealth ◽  
Housing Values ◽  
Wealth Redistribution ◽  
The Government ◽  
Empirical Design

This study investigates how perceived school quality affects housing values, using a new estimation method. Our empirical design takes advantage of the mergers of school catchment zones initiated by the government to develop quasi-experiments. We find that, in zones that gained sudden access to higher ranked schools, housing prices increased by 1.3 to 4.1 percent. Larger and more expensive houses appreciated more in response to the improvement in perceived quality of available schools. The findings generate important policy implications regarding housing wealth redistribution and housing expenditures among different households. The study also enriches the literature on the capitalization effect of school quality.

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