scholarly journals The Information Predictive Model of Creating Temperature and Humidity Conditions in Cow Barns

2021 ◽  
Vol 31 (2) ◽  
pp. 241-256
Author(s):  
Valeryij F. Vtoryi ◽  
Sergei V. Vtoryi ◽  
Vladislav V. Gordeev
Keyword(s):  
Predictive Model ◽  
Real Time ◽  
Measuring System ◽  
Leningrad Region ◽  
Data Recording ◽  
Indoor Climate ◽  
Temperature Humidity Index ◽  
Study Results ◽  
Temperature And Humidity ◽  
Humidity Index

Introduction. Information-predictive modeling is an effective tool for optimizing the indoor climatic variables to make full use of cow potential. Noncompliance with barn climate requirements may result in 10–30% lower lactation capacity. The research aimed at creating an information model of indoor climate formation based on experimental findings. Materials and Methods. A 24-hour measuring system of relevant climate variables with a 10-minutes data recording interval was designed. It included nine sensor units, three data recording/storing devices and a common power unit. Measurements took place in a dairy cow barn for 200 head in the Leningrad Region. Results. According to the summer study results, certain areas in the cow barn at high relative humidity had Temperature Humidity Index >75, i.e. were unfavorable for animals. This period may last up to 18 hours a day. In the daytime at Temperature Humidity Index >80, the indoor environment might become critical and be accompanied by a drastic decrease in milk cow productivity. Correlation models for temperature conditions in a cow barn are obtained and their dependence on indoor and outdoor temperature and air humidity are calculated. Discussion and Conclusion. An information predictive model was created to describe the formation of temperature and humidity conditions inside cow barns, depending on weather conditions. Under constant real-time database updating, the model allows monitoring the temperature and humidity in cow barns and forecasting these variables for the next few days. The relevant data are visualized in real-time on monitors and information panels for personnel and specialists supporting the timely managerial decisions to prevent critical situations associated with overheating or hypothermia of animals.

scholarly journals Supervisory System For Monitoring, Control And Estimating Thermal Comfort For Broiler and Laying Hens Production Sheds

2020 ◽  
Vol 8 (3) ◽  
pp. 316-331
Author(s):  
Mario Mollo Neto ◽  
Mariana Matulovic ◽  
Paulo Sérgio Barbosa dos Santos
Keyword(s):  
Thermal Comfort ◽  
Real Time ◽  
Laying Hens ◽  
Production Environment ◽  
Supervisory System ◽  
Temperature And Humidity ◽  
Humidity Index ◽  
Automatic Activation ◽  
And Control ◽  
Productivity And Competitiveness

This research aims to promote the project for the construction of software, firmware, and micro-controlled hardware, which together allow the automatic control of the temperature and humidity index (THI) in real-time the intensive production environment in poultry and laying hens production houses, thus avoiding productive losses due to the stress to which the birds are subjected. This system aims, from the information from a set of sensors, connected to a microcontroller acquisition and control board, to infer the temperature and humidity index from the measured climatic variables, to enable the corresponding activation of electronic interfaces with electric actuators, for the automatic activation of ventilation devices, humidification and curtain actuation and the lighting of production houses, keeping the environmental conditions of the house within a convenient range of temperature and relative humidity to ensure thermal comfort and thus avoiding bird stress. Thus, helping to mitigate production losses and facilitating managers real-time monitoring of the shed to achieve greater productivity and competitiveness.

scholarly journals The relationship between temperature and humidity outside and inside the permanently open-sided cow’s barn

2010 ◽  
Vol 58 (5) ◽  
pp. 91-96 ◽  
Author(s):  
Miljan Erbez ◽  
Daniel Falta ◽  
Gustav Chládek
Keyword(s):  
Czech Republic ◽  
Dairy Farm ◽  
The Czech Republic ◽  
Mean Values ◽  
Temperature Humidity Index ◽  
Data Loggers ◽  
Temperature And Humidity ◽  
Humidity Index ◽  
The Difference ◽  
The Relationship

The aim of this research was to estimate relations between temperature and humidity outside and inside of a permanently open sides barn for cows. This study was carried out in the period fromFe­brua­ry 1st, 2009 to January 31st, 2010 at a commercial dairy farm located in the South-Moravian region of the Czech Republic. During the study period temperature and humidity inside and outside the barn were systematically assessed. The research batch had 98 ± 3 cows. The barn had permanently open sides and during summer the main doors were mostly open. The cows in the research barn were of Czech Fleckvieh breed. The air temperature (°C) and humidity (%) were measured every fifteen minutes during the whole study period using 4 data loggers (HOBO technology; RH/Temp/), out of which were three (L1, L2 and L3), located inside the barn (Figure 1) and one (L0) outside the barn. The values of temperature-humidity index (THI) were calculated using the equation proposed by HAHN (1999). Mean daily outside and inside temperatures corresponded with each other, with outside temperatures always being lower than inside temperatures. The difference between the inside and outside temperature was lowest in March (0.01 °C) and highest in October (3.48 °C). Mean values of humidity outside and inside also corresponded; however, they were sometimes higher outside and sometimes inside the barn. The smallest difference between the inside and outside humidity was recorded in August (0.18 %) and the greatest in March (13.21 %). Mean values of temperature-humidity index (THI) inside and outside the barn also corresponded, with outside values being in most cases lower than inside values. The difference between inside and outside THI values was lowest in December (0.07) and highest in October (5.96). The mutual relationships between the values recorded by individual loggers were very close (including the outside logger). Slightly weaker was the relationship between L2 and other, both outside and inside, loggers.

scholarly journals Hubungan Dominansi Pohon dengan Temperature Humidity Index (Thi) Di Hutan Kota Babakan Siliwangi Bandung Jawa Barat

2020 ◽  
Vol 21 (2) ◽  
pp. 135
Author(s):  
Raizal Fahmi Solihat ◽  
Muhamad Elvan Nurfajri
Keyword(s):  
Open Space ◽  
Physical Development ◽  
Open Spaces ◽  
Forest Park ◽  
Comfort Index ◽  
Temperature Humidity Index ◽  
Temperature And Humidity ◽  
Humidity Index ◽  
The Relationship ◽  
The City

Physical development in the city of Bandung which is increasing causes a decrease in green open space. Babakan Siliwangi Bandung City Forest is one of the green open spaces so it is necessary to know the correlation between tree dominance and the Temperature Humidity Index (THI) value in the formation of micro climates. The object research is to determine the relationship between tree dominance and THI. The method by vegetation analysed, measuring temperature and humidity. The results of research are: 1) Comfort index (THI) in the Babakan Siliwangi City Forest Park in Bandung in August 2017 is relatively comfortable <26 THI. 2) The correlation value of tree dominance with THI is -0.14 which means that there is no relationship between the dominance value and THI. Keywords : Tree, Forest urban, THI, Bandung 

scholarly journals A machine learning approach for accurate and real-time DNA sequence identification

BMC Genomics ◽  
2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Yiren Wang ◽  
Mashari Alangari ◽  
Joshua Hihath ◽  
Arindam K. Das ◽  
M. P. Anantram
Keyword(s):  
Real Time ◽  
Dna Sequence ◽  
Single Molecule ◽  
Identification Accuracy ◽  
Measuring System ◽  
Identification System ◽  
Genetic Sequencing ◽  
Sequence Identification ◽  
Tree Classifier ◽  
Single Mismatch

Abstract Background The all-electronic Single Molecule Break Junction (SMBJ) method is an emerging alternative to traditional polymerase chain reaction (PCR) techniques for genetic sequencing and identification. Existing work indicates that the current spectra recorded from SMBJ experimentations contain unique signatures to identify known sequences from a dataset. However, the spectra are typically extremely noisy due to the stochastic and complex interactions between the substrate, sample, environment, and the measuring system, necessitating hundreds or thousands of experimentations to obtain reliable and accurate results. Results This article presents a DNA sequence identification system based on the current spectra of ten short strand sequences, including a pair that differs by a single mismatch. By employing a gradient boosted tree classifier model trained on conductance histograms, we demonstrate that extremely high accuracy, ranging from approximately 96 % for molecules differing by a single mismatch to 99.5 % otherwise, is possible. Further, such accuracy metrics are achievable in near real-time with just twenty or thirty SMBJ measurements instead of hundreds or thousands. We also demonstrate that a tandem classifier architecture, where the first stage is a multiclass classifier and the second stage is a binary classifier, can be employed to boost the single mismatched pair’s identification accuracy to 99.5 %. Conclusions A monolithic classifier, or more generally, a multistage classifier with model specific parameters that depend on experimental current spectra can be used to successfully identify DNA strands.

scholarly journals GLM-Based Flexible Monitoring Methods: An Application to Real-Time Highway Safety Surveillance

Symmetry ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 362
Author(s):  
Arshad Jamal ◽  
Tahir Mahmood ◽  
Muhamad Riaz ◽  
Hassan M. Al-Ahmadi
Keyword(s):  
Real Time ◽  
Control Charts ◽  
Negative Binomial ◽  
Highway Safety ◽  
Monitoring Methods ◽  
Count Data Models ◽  
Crash Data ◽  
Safety Surveillance ◽  
Study Results ◽  
Best Fit

Statistical modeling of historical crash data can provide essential insights to safety managers for proactive highway safety management. While numerous studies have contributed to the advancement from the statistical methodological front, minimal research efforts have been dedicated to real-time monitoring of highway safety situations. This study advocates the use of statistical monitoring methods for real-time highway safety surveillance using three years of crash data for rural highways in Saudi Arabia. First, three well-known count data models (Poisson, negative binomial, and Conway–Maxwell–Poisson) are applied to identify the best fit model for the number of crashes. Conway–Maxwell–Poisson was identified as the best fit model, which was used to find the significant explanatory variables for the number of crashes. The results revealed that the road type and road surface conditions significantly contribute to the number of crashes. From the perspective of real-time highway safety monitoring, generalized linear model (GLM)-based exponentially weighted moving average (EWMA) and cumulative sum (CUSUM) control charts are proposed using the randomized quantile residuals and deviance residuals of Conway–Maxwell (COM)–Poisson regression. A detailed simulation-based study is designed for predictive performance evaluation of the proposed control charts with existing counterparts (i.e., Shewhart charts) in terms of the run-length properties. The study results showed that the EWMA type control charts have better detection ability compared with the CUSUM type and Shewhart control charts under small and/or moderate shift sizes. Finally, the proposed monitoring methods are successfully implemented on actual traffic crash data to highlight the efficacy of the proposed methods. The outcome of this study could provide the analysts with insights to plan sound policy recommendations for achieving desired safety goals.

Intelligent Displacement Measuring System for Rock Stratum

2011 ◽  
Vol 103 ◽  
pp. 583-586
Author(s):  
Feng Ling Li ◽  
Jian Hua Rong ◽  
Yu Ping Zhang
Keyword(s):  
Civil Engineer ◽  
Real Time ◽  
Sampling Rate ◽  
Measuring System ◽  
Displacement Sensor ◽  
Rock Stratum ◽  
Baud Rate ◽  
Real Time Clock ◽  
High Sampling Rate ◽  
Displacement System

Measuring rock stratum displacement in dam grouting process is very important. A new displacement system is designed, comprising a programmable microcontroller Atmega16, a new grating capacitive displacement sensor(GCDS), DS1302 real time clock chip and announciator etc. The system has high sampling rate of 9600 baud rate and can trap the displacement equal to 0.001 millimeter in one second. Equipped with mechanical conveyance system, the system can be applied to the civil engineer. The experiment results show the instrument can measure accurately the displacement value and alarm geologic disaster in time, which can conduct continuous and accurate monitoring and provide operation decisions for dam engineers.

scholarly journals Effect of the Temperature-Humidity Index on Body Temperature and Conception Rate of Lactating Dairy Cows in Southwestern Japan

2011 ◽  
Vol 57 (4) ◽  
pp. 450-456 ◽  
Author(s):  
Hisashi NABENISHI ◽  
Hiroshi OHTA ◽  
Toshihumi NISHIMOTO ◽  
Tetsuo MORITA ◽  
Koji ASHIZAWA ◽  
...  
Keyword(s):  
Body Temperature ◽  
Dairy Cows ◽  
Conception Rate ◽  
Temperature Humidity Index ◽  
Lactating Dairy Cows ◽  
Humidity Index
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