AGGREGATED COMPLEXES FOR RICE GRAIN PROCESSING

2020 ◽  
Vol 20 (2) ◽  
pp. 41-46
Author(s):  
V. Petrov ◽  
A. Zhdanov ◽  
R. Mazej
Keyword(s):  
Rotation Axis ◽  
Air Separation ◽  
Technological Scheme ◽  
Rice Grain ◽  
Laboratory Equipment ◽  
Practical Applications ◽  
Grain Processing ◽  
Size Number ◽  
Vertical Rotation Axis ◽  
Selection Of

The paper considers various designs of aggregated complexes for the processing of rice grain. Their technological schemes were built and analyzed, and a breakdown into modules was performed. This allowed us to group the various designs of units and summarize their technological capabilities. The general reduced technological scheme of rice grain processing is considered. The noted variations are as far as practical applications with and without a grain cleaning module. Various schemes of hulling of grain and selection of hulled grain from unlulled are presented. The technological schemes with various hulling machines are analyzed (the Engleberg hulling machine, with rubberized rolls, centrifugal action), which have their own characteristics. The differences in the use of paddy machines and trimers for sorting grain after hulling are considered. The cylindrical trieurs used to select the rice kernel have an original technological scheme (company Yanmar). This allows you to simplify technological communications and make the unit more compact. The units use more compact paddy machines (reduced size, number of tiers, etc.), which, of course, affects their performance. The most common combined machine with a single-pass technological scheme (which was named after the first inventor and manufacturer, a hulling machine from Satake) is considered. In addition to laboratory equipment, centrifugal hulling machines are used in grain processing units, which gives additional advantages (a more compact scheme, due to the combination of several technological operations, hulling, transporting the grain stream, and air separation. For the majority of broken and unbroken grains sieve separators are used for simple circuits. Separators with vertical rotation axis, that allows to transport the rice to a predetermined height. This makes it possible to link this separator, for example with electronic scales.

scholarly journals Synergetic Use of Sentinel-1 and Sentinel-2 Data for Soil Moisture Mapping at Plot Scale

2018 ◽  
Vol 10 (8) ◽  
pp. 1285 ◽  
Author(s):  
Reza Attarzadeh ◽  
Jalal Amini ◽  
Claudia Notarnicola ◽  
Felix Greifeneder
Keyword(s):  
Soil Moisture ◽  
Optical Data ◽  
Estimation Accuracy ◽  
Support Vector ◽  
Practical Applications ◽  
Initial Stage ◽  
Object Based ◽  
Single Polarization ◽  
Selection Of

This paper presents an approach for retrieval of soil moisture content (SMC) by coupling single polarization C-band synthetic aperture radar (SAR) and optical data at the plot scale in vegetated areas. The study was carried out at five different sites with dominant vegetation cover located in Kenya. In the initial stage of the process, different features are extracted from single polarization mode (VV polarization) SAR and optical data. Subsequently, proper selection of the relevant features is conducted on the extracted features. An advanced state-of-the-art machine learning regression approach, the support vector regression (SVR) technique, is used to retrieve soil moisture. This paper takes a new look at soil moisture retrieval in vegetated areas considering the needs of practical applications. In this context, we tried to work at the object level instead of the pixel level. Accordingly, a group of pixels (an image object) represents the reality of the land cover at the plot scale. Three approaches, a pixel-based approach, an object-based approach, and a combination of pixel- and object-based approaches, were used to estimate soil moisture. The results show that the combined approach outperforms the other approaches in terms of estimation accuracy (4.94% and 0.89 compared to 6.41% and 0.62 in terms of root mean square error (RMSE) and R2), flexibility on retrieving the level of soil moisture, and better quality of visual representation of the SMC map.

scholarly journals Understanding Mental Health and Cognitive Restructuring With Ecological Neuroscience

2021 ◽  
Vol 12 ◽  
Author(s):  
James Crum
Keyword(s):  
Mental Health ◽  
Near Infrared ◽  
Ecological Validity ◽  
Experimental Designs ◽  
Functional Near Infrared Spectroscopy ◽  
Practical Applications ◽  
Recent Developments ◽  
The Brain ◽  
Neuroimaging Techniques ◽  
Selection Of

Neuroimaging and neuropsychological methods have contributed much toward an understanding of the information processing systems of the human brain in the last few decades, but to what extent do cognitive neuroscientific findings represent and generalize to the inter- and intra-brain dynamics engaged in adapting to naturalistic situations? If it is not marked, and experimental designs lack ecological validity, then this stands to potentially impact the practical applications of a paradigm. In no other domain is this more important to acknowledge than in human clinical neuroimaging research, wherein reduced ecological validity could mean a loss in clinical utility. One way to improve the generalizability and representativeness of findings is to adopt a more “real-world” approach to the development and selection of experimental designs and neuroimaging techniques to investigate the clinically-relevant phenomena of interest. For example, some relatively recent developments to neuroimaging techniques such as functional near-infrared spectroscopy (fNIRS) make it possible to create experimental designs using naturalistic tasks that would otherwise not be possible within the confines of a conventional laboratory. Mental health, cognitive interventions, and the present challenges to investigating the brain during treatment are discussed, as well as how the ecological use of fNIRS might be helpful in bridging the explanatory gaps to understanding the cultivation of mental health.

scholarly journals Food selection of maize weevil Sitophilus Zeamais (motschulsky)

2020 ◽  
Vol 42 (2) ◽  
Author(s):  
Nguyen Van Dzuong ◽  
Khuat Dang Long
Keyword(s):  
Food Selection ◽  
Abundant Species ◽  
Sitophilus Zeamais ◽  
Rice Grain ◽  
Maize Weevil ◽  
Food Grains ◽  
Dried Fruit ◽  
Maize Grain ◽  
Food Grain ◽  
Selection Of

The instintive behaviour exhibited by insects in the selecting  food is always a matter of  interests to entomologists, and it is one of the fundamental principles underlining the application of entomology to agriculture, horticulture and forestry. Food seclection is an important characteristic of insects that help them survive in periods with insufficient foods.Three grain types of food, maize grain, long-grain rice and soybean grain, were used in this sudy for detecting food selection behaviours of maize weevil, Sitophilus zeamais. Grains were kept in box traps put in the different stores in Son La during 90 days. The result showed that maize weevil, Sitophilus zeamais, prefered traps with maize grains (71.4%) considerably more than ones with long-grain rice (14.3%) and soybean grain (14.3%). Meanwhile, the cornsap beetle, Carpophilus dimidiatus, was mostly observed in maize grain (98.5%) and to a lesser degree, in soybean grain (1.5%); and the dried-fruit beetle, Carpophilus hemipterus, was abundantly observed in maize grain (93.1%) and less in soybean grain (6.9%). The red flour, Tribolium castaneum, also tended to select all the three food grain, i.e. maize grain: 53.5%, long-rice grain: 35.2%, and soybean grain: 11.3%.Comparing f beetle individuals captured on three types of food grains showed that the maize weevil, Sitophilus zeamais, is the most abundant species. The percentage this store beetle among all beetles observed in maize, soybean grains and long-rice grains were 57.0%, 84.9% and 27.6%, respectively. Interestingly, Ahasverus advena, foreign grain beetle, occurred abundantly on long-rice gain (61.7%), i.e. this grain is a suitable food for the development of this beetle. 

scholarly journals Research on Robustness of Related Images for Power Equipment Inspection

2021 ◽  
Vol 2113 (1) ◽  
pp. 012045
Author(s):  
Chunlei Zhou ◽  
Xiangzhou Chen ◽  
Wenli Liu ◽  
Tianyu Dong ◽  
Huang Yun
Keyword(s):  
Deep Learning ◽  
Image Recognition ◽  
Feature Fusion ◽  
Power Equipment ◽  
Actual Measurement ◽  
Practical Applications ◽  
Detection Algorithms ◽  
Traction Substations ◽  
Deep Learning Model ◽  
Selection Of

Abstract With the increase in the number of traction substations year by year, manual inspections are gradually being replaced by unattended inspections. Target detection algorithms based on deep learning are more widely used in intelligent inspections of power equipment. However, in practical applications, it is found that due to the small target to be detected, the accuracy of the deep learning model will decrease when the shooting angle is inclined and the light conditions are poor. This is because the algorithm’s robustness is low, and the detection ability of the model will be seriously affected when the angle or illumination difference with the sample is large. Based on this, the feature fusion part of the YOLOv3 algorithm and the selection of the loss function and the size of the anchor frame are improved, and the improved ASFF fusion method is used to classify various images in the power equipment. Actual measurement and repeated experiments show that the proposed method can be effectively applied to image recognition of various power equipment, optimize robustness, and greatly improve the image recognition efficiency of power equipment.

scholarly journals A service evaluation of the healthy lifestyle groups in a female medium secure unit- what do our patients know about nutrition?

BJPsych Open ◽  
2021 ◽  
Vol 7 (S1) ◽  
pp. S350-S350
Author(s):  
Lauren Shipperbottom ◽  
Ruth Scally
Keyword(s):  
Salt Intake ◽  
Healthy Lifestyle ◽  
Service Evaluation ◽  
Nutritional Knowledge ◽  
Practical Applications ◽  
Oily Fish ◽  
University College London ◽  
Secure Unit ◽  
Starchy Foods ◽  
Selection Of

AimsTo assess whether patients have a good knowledge of basic nutrition compared to a group of staff. We hypothesise that the patient's knowledge will show deficits compared to the staff despite the group interventions.BackgroundThe Royal College of Psychiatrist's core standards for inpatient physical health outlines that patients should be engaged in healthy lifestyle groups. The women's secure service at Ardenleigh has developed healthy lifestyles groups to promote a better understanding of nutrition.MethodAn adapted University College London general knowledge nutrition questionnaire was used to investigate nutritional knowledge.All 22 inpatients and a random selection of staff were offered the chance to complete the questionnaire. As the groups run on a regular basis, it was presumed all patients had attended at least one group session. The staff are the comparator group.18 staff responses and 12 inpatient responses were obtained (54.5% response rate for inpatients).ResultNo participant in either group scored 100%. Both groups had a good awareness of what foods they should be eating more and less of. 83.3% of patients were aware that they should be eating breakfast everyday as opposed to 100% of staff.Poor areas of knowledge included knowledge of the number of oily fish servings per week. Staff and patients also performed poorly when estimating their recommended daily salt intake. 1/3 of patients were unable to provide an example of a serving of fruit and vegetables.The knowledge of the structure of the Eat-Well plate was poor in both groups. Only 16% of patients and 22% of staff were aware that starchy foods should make up 1/3 of the Eat-well plate. Knowledge of protein sources was poor. 25% of patients and 16.6% of staff thought that fruit and butter were good sources of proteinFurthermore, only 50% of patients were able to choose the healthiest evening meal choice from a list of 3 options compared to 100% of staff.ConclusionIn conclusion staff had better knowledge of nutrition than patients but knowledge was poor in areas amongst both groups. We conclude that groups should have more focus around practical applications of nutritional knowledge to everyday life.

DEVELOPMENT OF THE TECHNOLOGICAL SCHEME HULLING FLAX SEEDS IN THE CENTRIFUGAL HULLING MACHINE

2018 ◽  
Author(s):  
В.А. ЗУБЦОВ ◽  
С.В. ЗВЕРЕВ ◽  
Ю.Ф. РОСЛЯКОВ ◽  
В.В. ГОНЧАР
Keyword(s):  
Mesh Size ◽  
Hole Diameter ◽  
Air Separation ◽  
Technological Scheme ◽  
Flax Seed ◽  
Air Flow Rate ◽  
Air Velocity ◽  
Laboratory Facility ◽  
High Quality Protein ◽  
Flax Seeds

Разработана технологическая схема обрушивания семян льна на центробежном шелушителе. Объектом исследования были семена масличного льна сорта Северный (Барнаул, ООО «Агролен») различной степени обработки: нативные, бесслизевые, обезвоженные. Семена льна дробили на центробежном шелушителе и просеивали на лабораторном ситовом сепараторе с использованием сит с круглыми и продолговатыми отверстиями. Пневмосепарацию осуществляли на лабораторной установке фирмы Petkus с регулируемой скоростью потока воздуха в пневмоканале. В процессе переработки исходные семена льна просеивали сквозь сито диаметром 2,5 мм. Сход этого сита подвергали термообработке по достижении семенами влажности 4–6%. Охлажденные семена льна пятикратно подвергали дроблению на центробежном шелушителе. После каждого прохода дробленку просеивали сквозь проволочное сито с размером ячеек 1,2 мм и сход подвергали пневмосепарированию при скорости воздуха в пневмоканале 4–5 м/с. Полученный таким образом недоруш направляли на повторное дробление. Проход сита с диаметром отверстий 1,2 мм просеивали на лабораторных ситах и полученные фракции пневмосепарировали, в результате чего в относы уходила основная масса оболочки, а осадок составляло дробленое ядро с примесями оболочки. Обезвоживание семян до влажности 3–4% проводили методом высокотемпературной микронизации. Обезвоженные семена льна измельчали на центробежном шелушителе при скорости на периферии диска 41 м/с. Дробленку подавали на рассев с набором сит. Сход с каждого сита подвергали пневмосепарированию. Осадок схода с сита 1,0 мм возвращали на доизмельчение. Установлено, что применение при обрушивании семян льна центробежного шелушителя обеспечивает выход ядра до 21% и высокое качество белковой компоненты. The technological scheme of flax seed hulling in a centrifugal hulling machine is developed. Seeds of oil flax of the variety Severnyy (Barnaul, Agrolen LLC) of various degree of processing: native, non – slime and dehydrated-were the object of research. Flax seeds were crushed in a centrifugal hulling machine and sieved on a laboratory sieve separator using sieves with round and oblong holes. Air separation was carried out at the laboratory facility of Petkus with controlled air flow rate in the pneumatic channel. During processing, the original flax seeds were sieved through a 2,5 mm diameter sieve. The gathering of this sieve was subjected to heat treatment when the seeds reached a moisture content of 4–6%. Chilled flax seeds five times were subjected to crushing in a centrifugal hulling machine. After each pass, the crusher was sieved through a wire sieve with a mesh size of 1,2 mm and the gathering was subjected to air separation at an air velocity in the pneumatic channel of 4–5 m/s. The thus obtained under-hulling were sent for re-crushing. Pass sieve with a hole diameter of 1,2 mm was sieved for laboratory sieves and the fractions obtained were air separation, resulting in the bulk of the shell went into waste, and the residue was crushed kernel with impurities of the shell. Dehydration of seeds (up to 3–4% moisture) was carried out by high-temperature micronization. Dehydrated flax seeds were ground in a centrifugal hulling machine at a speed of 41 m/s on the periphery of the disc. Crumbles were served on the screening. The descent from each sieve was subjected to air separation. The precipitate from the sieve 1,0 mm was returned for grinding. It was found that the use of centrifugal hulling machine in the hulling of flax seeds provides a kernel yield of up to 21% and high quality protein component.

The selection of laboratory equipment

2008 ◽  
Vol 14 (2) ◽  
pp. 131-136 ◽  
Author(s):  
S. M. LEWIS ◽  
J. M. ENGLAND
Keyword(s):  
Laboratory Equipment ◽  
Selection Of
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