To establish thermal indices for component recognition

Author(s):  
Edward J. Van Vooren
2020 ◽  
Vol 7 (04) ◽  
Author(s):  
V VISHA KUMARI ◽  
PURABI BANERJEE ◽  
ROSHNI VIJAYAN ◽  
RAJIB NATH ◽  
KAJAL SENGUPTA ◽  
...  

A field experiment was conducted at BCKV during Rabi, 2018-19 and 2019-20 to study the effect of Zn, Fe and B foliar spray on phenology and thermal indices of popular lentil variety, Moitree (WBL 77) under different sowing condition [1st week of November (normal) and 1st week of December (late)]. Delay in sowing of crop from November to December reduced the crop duration by 11.4 days (113.4 days vs 101.7 days). The variation in mean daily temperature and bright sunshine hour among two sowing dates resulted in varied accumulated Growing Degree Days (GDD), Helio Thermal Units (HTU) as well as Photo Thermal Unit (PTU). It was found that different dates of sowing have a larger impact on change in phenology of the crop and thus affect various thermal indices. Foliar spraying of micronutrients viz., B + Fe @ 0.5% produced significantly higher seed and stover yield of 1438 kg ha-1 and 3981 kg ha-1 respectively, which were 86.26% and 27.0% more than that obtained from the control treatment (772 and 3134 kg ha-1). The study conducted revealed that along with optimum date of sowing, spraying micronutrients especially a mixture of [email protected] % and [email protected] % could also bring in change of phenology to some extent. This may help in better accumulation of photosynthate hence, improving the yield responses of lentil.


Atmosphere ◽  
2021 ◽  
Vol 12 (6) ◽  
pp. 671
Author(s):  
Ioannis Charalampopoulos

The Balkan peninsula is a transitional zone, in terms of bioclimatic conditions, with an extended and dynamic agricultural sector. Its potential is in peril due to climate change and socioeconomic factors. To assess and evaluate the agrometeorological conditions and the related trends which affect the widely cultivated wheat and maize, a big dataset with high spatiotemporal analysis was utilized. The thermal indices of Growing Degree Days (GDD) and Heat Stress Index (HSI) along with the main frost parameters (frost days, last spring frost, first autumn frost, and free of frost days) were calculated over ten countries for 42 years on a daily basis over a grid of 25 × 25 km. The results indicate a clear cultivations’ expansion ability to northern areas, and higher altitudes and an increased risk of heat caused plants’ injuries. The thermal indices’ trends for maize and wheat cultivation are always positive (Maize: GDD 7.26–11.05 units/yr, HSI 0.52–3.51 units/yr Wheat: GDD 7.2–12.7 units/yr, HSI 0.22–1.77 units/yr). The free of frost (FFD) season is getting longer (trend −0.04 to 0.34 d/yr) because of earlier last spring frost and delayed first autumn frost. The results consist of spatial and temporal illustrations, along with summary statistics and probability density plots for the entire study area and per country.


RSC Advances ◽  
2018 ◽  
Vol 8 (69) ◽  
pp. 39602-39610
Author(s):  
Hailiu Fan ◽  
Jianbang Xuan ◽  
Xinyun Du ◽  
Ningzhi Liu ◽  
Jianlan Jiang

CAR models for the Fuzi–Gancao herb pair were constructed by BP, SVR, GA and PSO, and used to fit experimental data. The main active antitumor components were recognized from MIVs based on the optimal CAR model.


2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Yuanyuan Xu ◽  
Genke Yang ◽  
Jiliang Luo ◽  
Jianan He

Electronic component recognition plays an important role in industrial production, electronic manufacturing, and testing. In order to address the problem of the low recognition recall and accuracy of traditional image recognition technologies (such as principal component analysis (PCA) and support vector machine (SVM)), this paper selects multiple deep learning networks for testing and optimizes the SqueezeNet network. The paper then presents an electronic component recognition algorithm based on the Faster SqueezeNet network. This structure can reduce the size of network parameters and computational complexity without deteriorating the performance of the network. The results show that the proposed algorithm performs well, where the Receiver Operating Characteristic Curve (ROC) and Area Under the Curve (AUC), capacitor and inductor, reach 1.0. When the FPR is less than or equal 10 − 6   level, the TPR is greater than or equal to 0.99; its reasoning time is about 2.67 ms, achieving the industrial application level in terms of time consumption and performance.


2021 ◽  
Vol 8 (1) ◽  
pp. 28
Author(s):  
Andreas Matzarakis ◽  
Marcel Gangwisch ◽  
Tim Herbert

The issue of the quantification of thermal comfort or heat stress on humans is in vogue nowadays. This is evident for indices, which are trying to quantify these effects. Most known indices are PET, modified PET, SET*, PT and UTCI. All thermal indices require the same thermo-physiological and meteorological parameters. Air temperature, air humidity, wind speed, and short and long wave radiation fluxes in terms of mean radiant temperature are the required meteorological parameters. For human thermo-physiology, information about heat production and clothing are required. The meteorological parameters have to be available in appropriate spatial and temporal scales depending on the target and the specific issues demanded. The appropriate spatial and temporal resolution data cannot only be delivered by measurement stations. Meso and micro scale models, which compute meteorological parameter and thermal indices, can be helpful in the development of mitigation and adaptation strategies in the era of climate change.


2021 ◽  
Vol 8 ◽  
Author(s):  
Kerry-Ann van der Walt ◽  
Warren M. Potts ◽  
Francesca Porri ◽  
Alexander C. Winkler ◽  
Murray I. Duncan ◽  
...  

Climate change not only drives increases in global mean ocean temperatures, but also in the intensity and duration of marine heatwaves (MHWs), with potentially deleterious effects on local fishes. A first step to assess the vulnerability of fishes to MHWs is to quantify their upper thermal thresholds and contrast these limits against current and future ocean temperatures during such heating events. Heart failure is considered a primary mechanism governing the upper thermal limits of fishes and begins to occur at temperatures where heart rate fails to keep pace with thermal dependency of reaction rates. This point is identified by estimating the Arrhenius breakpoint temperature (TAB), which is the temperature where maximum heart rate (fHmax) first deviates from its exponential increase with temperature and the incremental Q10 breakpoint temperature (TQB), which is where the Q10 temperature coefficient (relative change in heart rate for a 10°C increase in temperature) for fHmax abruptly decreases during acute warming. Here we determined TAB, TQB and the temperature that causes cardiac arrhythmia (TARR) in adults of the marine sparid, Diplodus capensis, using an established technique. Using these thermal indices results, we further estimated adult D. capensis vulnerability to contemporary MHWs and increases in ocean temperatures along the warm-temperate south-east coast of South Africa. For the established technique, we stimulated fHmax with atropine and isoproterenol and used internal heart rate loggers to measure fHmax under conditions of acute warming in the laboratory. We estimated average TAB, TQB, and TARR values of 20.8°C, 21.0°C, and 28.3°C. These findings indicate that the physiology of D. capensis will be progressively compromised when temperatures exceed 21.0°C up to a thermal end-point of 28.3°C. Recent MHWs along the warm-temperate south-east coast, furthermore, are already occurring within the TARR threshold (26.6–30.0°C) for cardiac function in adult D. capensis, suggesting that this species may already be physiologically compromised by MHWs. Predicted increases in mean ocean temperatures of a conservative 2.0°C, may further result in adult D. capensis experiencing more frequent MHWs as well as a contraction of the northern range limit of this species as mean summer temperatures exceed the average TARR of 28.3°C.


2011 ◽  
Vol 25 (11) ◽  
pp. 586-591 ◽  
Author(s):  
Shaohui Yu ◽  
Yujun Zhang ◽  
Wenqing Liu ◽  
Nanjing Zhao ◽  
Xue Xiao ◽  
...  

Author(s):  
Sajad Zare ◽  
Naser Hasheminejad ◽  
Mokhles Bateni ◽  
Mohammad Reza Baneshi ◽  
Hossein Elahi Shirvan ◽  
...  

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