Modeling of Ambient Environment and Thermal Status Relationship of Pig’s Body in a Pig Barn

2020 ◽  
Author(s):  
Jayanta Kumar Basak ◽  
Elanchezhian Arulmozhi ◽  
Fawad Khan ◽  
Frank Gyan Okyere ◽  
Jihoon Park, Ara Ahmed ◽  
...  
Keyword(s):  
Relative Humidity ◽  
Environmental Parameters ◽  
Co2 Concentration ◽  
Back Side ◽  
Index Model ◽  
Thermal Status ◽  
Humidity Index ◽  
Body Surface Temperature ◽  
Relationship Of ◽  
Model Temperature

An experiment was conducted to evaluate the performance of temperature model (T model), relative humidity model (H model), temperature-humidity model (TH model), and temperature-humidity index model (THI model) in predicting pig’s body surface temperature (PBT). Infrared Sensor (IR) was used to measure PBT at different locations: left side (LS), right side (RS), forehead (FH) and back side (BS). Ambient environmental parameters inside the room such as temperature (ART), relative humidity (RRH) and CO2 concentration were measured using livestock environment management system (LEMS). THI model was selected as the best model in making more accurate prediction in both training (R2=0.72, RMSE=0.80, RSE=0.26 and MAPE=2.08) and validation (R2=0.74, RMSE=1.10, RSE=0.40 and MAPE=2.80) stages. For more precise modeling, apart from temperature and humidity data other environmental factors inside pig’s barn (CO2 concentration, wind speed, air pressure etc.) as well as growth factors (body weight, feed intake etc.) may be included in models.

scholarly journals Horse Transport to Three South American Horse Slaughterhouses: A Descriptive Study

Animals ◽  
2020 ◽  
Vol 10 (4) ◽  
pp. 602 ◽  
Author(s):  
Béke Nivelle ◽  
Liesbeth Vermeulen ◽  
Sanne Van Beirendonck ◽  
Jos Van Thielen ◽  
Bert Driessen
Keyword(s):  
Relative Humidity ◽  
Ambient Temperature ◽  
Average Distance ◽  
Stocking Density ◽  
Environmental Parameters ◽  
Descriptive Study ◽  
Maximum Temperature ◽  
South American ◽  
Average Temperature ◽  
Humidity Index

Between November 2016 and October 2017, 23 horse transports from 18 collection points to two slaughterhouses in Argentina and one in Uruguay were monitored. The goal of this study was to characterize the current practices in commercial horse transports and to detect potential threats to horse welfare. A total of 596 horses were transported over an average distance of 295 ± 250 km. Average transport duration was 294 ± 153 min. The infrastructure did not always promote smooth loading, but the amount of horses that refused to enter the trailers was limited. In each loading space, a camera was mounted to observe horse behaviour during the journey. Ambient temperature and relative humidity (RH) were recorded every five minutes in each loading space. In 14 of the 23 transports, the maximum temperature rose above 25 °C and the average temperature was over 25 °C during six transports. The average temperature humidity index (THI) exceeded 72 during six transports. The average stocking density was 1.40 ± 0.33 m2 per horse, or 308 ± 53 kg/m2. The degree of aggression differed between the front and rear loading space. Stocking density, environmental parameters, trailer characteristics, and transport duration and distance did not influence aggressiveness.

Assessment of the Influence of Environmental Variables on Pig’s Body Temperature using ANN and MLR Models

2020 ◽  
Author(s):  
Jayanta Kumar Basak ◽  
Elanchezhian Arulmozhi ◽  
Fawad Khan ◽  
Frank Gyan Okyere ◽  
Jihoon Park ◽  
...  
Keyword(s):  
Body Temperature ◽  
Relative Humidity ◽  
Environmental Parameters ◽  
Influential Factors ◽  
Warning Signs ◽  
Related Factors ◽  
Important Indicator ◽  
Factors Affecting ◽  
Temperature Humidity Index ◽  
Humidity Index

An experiment was conducted to find out the most influential factors affecting pig’s body temperature (PBT). For this purpose, eight environmental parameters and three growth related factors were considered as variables. Among these factors, seven environmental parameters, including temperature, CO2, temperature-humidity index inside and outside the pig’s barn and relative humidity inside the barn were taken as input variables for artificial neural networks (ANN) and multiple linear regression (MLR) models due to their good correlation (r ³ 0.5) with PBT. The results showed that ANN and MLR models had the lowest R2 values (0.81 and 0.69, respectively) and the highest RMSE (1.17 and 1.48, respectively) when they were run without temperature-humidity index; however, the maximum R2 (0.90 and 0.75, respectively) and minimum RMSE (0.92 and 1.40, respectively) were found without relative humidity. Based on the results, the temperature-humidity index could represent an important indicator in registering early warning signs of PBT status alternations.

scholarly journals ANALISIS HUBUNGAN ANTARA RUANG TERBUKA HIJAU (RTH) DAN INDEKS KENYAMANAN (Studi Kasus: Kota Yogyakarta)

2019 ◽  
Author(s):  
FERDY APRIHATMOKO
Keyword(s):  
Relative Humidity ◽  
Air Temperature ◽  
Open Space ◽  
Human Comfort ◽  
Comfort Index ◽  
Humidity Index ◽  
Relationship Of ◽  
The Relationship ◽  
Positive Effect ◽  
Space Line

The presence of green open space in urban area is very important in influencing the condition of human comfort. The objective of this research is to analyze the relationship of green open space to air temperature and human comfort in Yogyakarta. The method used in determining the comfort index is the Temperature Humidity Index (THI) which combines the factor of air temperature and relative humidity. The calculated THI value is obtained from four green open space categories and they are point green open space, line green open space, area green open space, and non-green open space. The result obtained from this research showed that the air temperature in green open space is lower than the air temperature in non-green open space. Green open space has a positive effect in lowering air temperature so the place with the green open space gives more comfortable conditions than the place with non-green open space. The place with more green open space will have lower air temperature and give more comfortable condition. Based on this research, Yogyakarta is included in partly uncomfortable category so addition of green open space is needed.

HUBUNGAN KEPADATAN BIVALVIA DENGAN PARAMETER LINGKUNGAN DI PESISIR TANJUNG PURA KABUPATEN BANGKA TENGAH

2020 ◽  
Vol 13 (2) ◽  
pp. 112-121
Author(s):  
Sudiyar . ◽  
Okto Supratman ◽  
Indra Ambalika Syari
Keyword(s):  
Negative Impact ◽  
Principal Component ◽  
Environmental Parameters ◽  
Data Retrieval ◽  
Distribution Patterns ◽  
Random System ◽  
System Method ◽  
Relationship Of ◽  
The Relationship ◽  
Anadara Granosa

The destructive fishing feared will give a negative impact on the survival of this organism. This study aims to analyze the density of bivalves, distribution patterns, and to analyze the relationship of bivalves with environmental parameters in Tanjung Pura village. This research was conducted in March 2019. The systematic random system method was used for collecting data of bivalves. The collecting Data retrieval divided into five research stasions. The results obtained 6 types of bivalves from 3 families and the total is 115 individuals. The highest bivalve density is 4.56 ind / m², and the lowest bivalves are located at station 2,1.56 ind / m²,  The pattern of bivalve distribution in the Coastal of Tanjung Pura Village is grouping. The results of principal component analysis (PCA) showed that Anadara granosa species was positively correlated with TSS r = 0.890, Dosinia contusa, Anomalocardia squamosa, Mererix meretrix, Placamen isabellina, and Tellinella spengleri were positively correlated with currents r = 0.933.

scholarly journals Prioritizing and Analyzing the Role of Climate and Urban Parameters in the Confirmed Cases of COVID-19 Based on Artificial Intelligence Applications

2020 ◽  
Vol 17 (10) ◽  
pp. 3730 ◽  
Author(s):  
Sina Shaffiee Haghshenas ◽  
Behrouz Pirouz ◽  
Sami Shaffiee Haghshenas ◽  
Behzad Pirouz ◽  
Patrizia Piro ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Infectious Disease ◽  
Relative Humidity ◽  
Cost Function ◽  
Selection Process ◽  
Environmental Parameters ◽  
Pso Algorithm ◽  
Data Set ◽  
De Algorithm

Nowadays, an infectious disease outbreak is considered one of the most destructive effects in the sustainable development process. The outbreak of new coronavirus (COVID-19) as an infectious disease showed that it has undesirable social, environmental, and economic impacts, and leads to serious challenges and threats. Additionally, investigating the prioritization parameters is of vital importance to reducing the negative impacts of this global crisis. Hence, the main aim of this study is to prioritize and analyze the role of certain environmental parameters. For this purpose, four cities in Italy were selected as a case study and some notable climate parameters—such as daily average temperature, relative humidity, wind speed—and an urban parameter, population density, were considered as input data set, with confirmed cases of COVID-19 being the output dataset. In this paper, two artificial intelligence techniques, including an artificial neural network (ANN) based on particle swarm optimization (PSO) algorithm and differential evolution (DE) algorithm, were used for prioritizing climate and urban parameters. The analysis is based on the feature selection process and then the obtained results from the proposed models compared to select the best one. Finally, the difference in cost function was about 0.0001 between the performances of the two models, hence, the two methods were not different in cost function, however, ANN-PSO was found to be better, because it reached to the desired precision level in lesser iterations than ANN-DE. In addition, the priority of two variables, urban parameter, and relative humidity, were the highest to predict the confirmed cases of COVID-19.

scholarly journals Potential Evapotranspiration Reduction and Its Influence on Crop Yield in the North China Plain in 1961–2014

2020 ◽  
Vol 2020 ◽  
pp. 1-10 ◽  
Author(s):  
Wanlin Dong ◽  
Chao Li ◽  
Qi Hu ◽  
Feifei Pan ◽  
Jyoti Bhandari ◽  
...  
Keyword(s):  
Wind Speed ◽  
Relative Humidity ◽  
Crop Yield ◽  
North China Plain ◽  
North China ◽  
Potential Evapotranspiration ◽  
The North ◽  
The North China Plain ◽  
Sunshine Hours ◽  
Humidity Index

Climate change has caused uneven changes in hydrological processes (precipitation and evapotranspiration) on a space-temporal scale, which would influence climate types, eventually impact agricultural production. Based on data from 61 meteorological stations from 1961 to 2014 in the North China Plain (NCP), the spatiotemporal characteristics of climate variables, such as humidity index, precipitation, and potential evapotranspiration (ET0), were analyzed. The sensitivity coefficients and contribution rates were applied to ET0. The NCP has experienced a semiarid to humid climate from north to south due to the significant decline of ET0 (−13.8 mm decade−1). In the study region, 71.0% of the sites showed a “pan evaporation paradox” phenomenon. Relative humidity had the most negative influence on ET0, while wind speed, sunshine hours, and air temperature had a positive effect on ET0. Wind speed and sunshine hours contributed the most to the spatiotemporal variation of ET0, followed by relative humidity and air temperature. Overall, the key climate factor impacting ET0 was wind speed decline in the NCP, particularly in Beijing and Tianjin. The crop yield in Shandong and Henan provinces was higher than that in the other regions with a higher humidity index. The lower the humidity index in Hebei province, the lower the crop yield. Therefore, potential water shortages and water conflict should be considered in the future because of spatiotemporal humidity variations in the NCP.

scholarly journals Effects of Environmental Factors on Concrete Carbonation Depth and Compressive Strength

Materials ◽  
2018 ◽  
Vol 11 (11) ◽  
pp. 2167 ◽  
Author(s):  
Ying Chen ◽  
Peng Liu ◽  
Zhiwu Yu
Keyword(s):  
Compressive Strength ◽  
Phase Composition ◽  
Relative Humidity ◽  
Co2 Concentration ◽  
Crystal Structure Analysis ◽  
Hydration Products ◽  
Carbonation Depth ◽  
Concrete Carbonation ◽  
Before And After ◽  
Compressive Strength Of Concrete

The influence of temperature, CO2 concentration and relative humidity on the carbonation depth and compressive strength of concrete was investigated. Meanwhile, phase composition, types of hydration products and microstructure characteristics of samples before and after the carbonation were analyzed by XRD and ESEM. Research results demonstrate that temperature, CO2 concentration and relative humidity influence the carbonation depth and compressive strength of concrete significantly. There is a linear relationship between temperature and carbonation depth, as well as the compressive strength of concrete. CO2 concentration and relative humidity present a power function and a polynomial function with carbonation depth of concrete, respectively. The concrete carbonation depth increases with the increase of relative humidity and reaches the maximum value when the relative humidity is 70%. Significant differences of phase composition, hydration products and microstructure are observed before and after the carbonation. Carbonization products of samples are different with changes of temperatures (10 °C, 20 °C and 30 °C). The result of crystal structure analysis indicates that the carbonation products are mainly polyhedral spherical vaterite and aragonite.

scholarly journals Survey of the state of conservation of the Mylodon listai (Xenarthra-Mylodontidae) skin fragment from the Pleistocene of Argentina kept at the Museum of La Plata (Argentina)

2016 ◽  
Vol 10 ◽  
pp. 44-53 ◽  
Author(s):  
Daniela Silvana Nitiu ◽  
Andrea Mallo ◽  
Mario Saparrat ◽  
Mauro Garcia Santa Cruz
Keyword(s):  
Relative Humidity ◽  
Environmental Parameters ◽  
The State ◽  
La Plata ◽  
Important Type ◽  
Fungal Load ◽  
Sampling Points

The aim of the present study was to assess the state of conservation of the fossilized skin fragment assigned to Mylodon listai preserved in a showcase of the Paleontology Hall of the Museum of La Plata. To this end, we conducted a volumetric aerobiological sampling both inside the showcase and in the hall to detect the presence of fungal load that could alter its preservation. We also determined the environmental parameters both inside and outside the showcase. The aerobiological sampling inside the showcase showed 3061.50 spores/m3 corresponding to 22 fungal types, while in the hall, 2283.20 spores/m3 corresponding to 14 fungal types where detected. Cladosporium was the most important type in all the sampling points. The temperatures recorded were lower than those recommended for the conservation of leather and the relative humidity values were acceptable in 70% of the record for this material

scholarly journals First Record Of Meroplius Fukuharai (Iwasa 1984) (Diptera: Sepsidae) On Romanian Territory

2015 ◽  
Vol 57 (2) ◽  
pp. 121-125
Author(s):  
Lavinia Iancu ◽  
Cristina Purcarea
Keyword(s):  
Relative Humidity ◽  
Air Temperature ◽  
Environmental Parameters ◽  
Sampling Period ◽  
First Record ◽  
Research Area ◽  
Insect Species ◽  
First Report ◽  
South Eastern ◽  
Species Dynamics

Abstract The present study represents the first report on the presence of Meroplius fukuharai (Diptera: Sepsidae) in Romania. The research area was located in Bucharest. Meroplius fukuharai was recorded during an experiment for investigating necrophagous insect species dynamics. Adult specimens were sampled during the summer (August 2013) from swine carcasses at the beginning of the advanced decay stage. The species had a sporadic occurrence, only four male specimens being sampled and identified both morphologically and genetically during the four-month survey. The recorded environmental parameters during the sampling period showed an air temperature of 28-33°C and a relative humidity of 53-57%. This report on the presence of M. fukuharai in Romania leads to the expansion of its known distribution range in the South Eastern part of Europe.

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