scholarly journals Method of the monitoring illegal chopping tree with use RFID-device and WSN-network

2017 ◽  
Author(s):  
С.П.  Санников ◽  
Э.Ф. Герц
Keyword(s):  
Radio Frequency ◽  
Experimental Studies ◽  
Spectral Feature ◽  
Weather Conditions ◽  
Good Time ◽  
Analog To Digital ◽  
Sound Sequence ◽  
Radio Frequency Sensor ◽  
Set Up ◽  
Sound Features

В статье приводится возможность использования радиочастотных сенсоров для предотвращения незаконных рубок деревьев. Такие рубки происходят периодически и тенденций к снижению не наблюдается. Исследования, проводимые в Уральском государственном лесотехническом университете, показали следующее результаты. Только сенсоры, установленные с лесу, способны своевременно контролировать ситуацию о незаконных рубках древесины и многие другие факторы, например: лесные пожары, логистику перемещения лесоматериалов, таксационные исследования дистанционно. Объектом исследования является участок в лесопарке им. Лесоводов России (г. Екатеринбург). Инструментом исследования являются радиочастотные устройства, объединенные в беспроводную сенсорную сеть (WSN). Исследованы звуковые спектральные характеристики бензопил Тайга и Shtil. Представленная методика разработана на основе анализа звуков леса и выделения спектра работы пильных устройств (например, цепных), издающих звук отличных от шума ветра и шелеста листьев. Также исследовали шум работающих агрегатов с бензиновыми и дизельными двигателями. В приведенных спектральных характеристиках выделены, по определенным признакам, характерные критерии для сортировки участков звуковой последовательности фона. Результаты экспериментальных исследований подтверждают, что звук работающей бензопилы слышен в радиусе 500–700 м. Выявлено влияние рельефа и погодных условий на дальность распространения звука бензопилы. Звуковой сигнал анализировался методом Фурье для динамического и временного масштабирования. Звуковые характеристики бензопилы без нагрузки и при пилении отличаются, поэтому предложена коррекция длины волны. Это необходимо для выбора аналого-цифрового преобразователя (АЦП) при проектировании сенсоров контроля незаконной рубки. The possibility of the use radio-frequency sensor happens to In article for prevention illegal chopping tree. Such choppings occur seasonly and trend to reduction does not exist. The Studies conducted in Ural State Forest Engineering University, have shown the following results. That only sensors, set up with wood, capable in good time to check the situation with illegal chopping tree, but also many other factors, for instance: wildfires, logistics of the displacement lumber, estimation studies remote. The Object of the study is an area in wood-park Specialist in forestry to Russia (cit.Ekaterinburg). The Instrument of the study are an radio-frequency device, united in wireless sensor network (WSN). The Explored sound spectral features chain saw with motor Taiga and Shtil. Presented methods is designed on base of the analysis sound wood and separations of the spectrum of the work saw-device (for instance: chain), publishing sound different from noise winds and rustle sheet. Also researched the noise working unit with gasoline and diesel engine. In brought spectral feature are chosen, on determined sign, typical criteria for sorting area to sound sequence of the background. Results of the experimental studies confirm that sound working chain saw with motor heard in radius 500–700 m are Revealled influence of the relief and weather conditions on range of the spreading the sound chain saw with motor. The Bleep was analysed by method Furie, for dynamic and temporary scaling. The Sound features chain saw with motor without load and when sawing differ so a correction wavelength is offered. This required for choice of the analog-to-digital converter (ADC) when designing sensor checking the illegal chopping.

Evaluation of the effectiveness of different image skeletonization methods in biometric security systems

2020 ◽  
Vol 10 ◽  
Author(s):  
Mariya Nazarkevych ◽  
Serhii Dmytruk ◽  
Volodymyr Hrytsyk ◽  
Olha Vozna ◽  
Anzhela Kuza ◽  
...  
Keyword(s):  
Experimental Studies ◽  
Fingerprint Recognition ◽  
Good Time ◽  
Gabor Filtering ◽  
Security Systems ◽  
Thinning Algorithm ◽  
Biometric Security ◽  
Recognition Quality ◽  
Control And Management ◽  
The Internet Of Things

Background: Systems of the Internet of Things are actively implementing biometric systems. For fast and high-quality recognition in sensory biometric control and management systems, skeletonization methods are used at the stage of fingerprint recognition. The analysis of the known skeletonization methods of Zhang-Suen, Hilditch, Ateb-Gabor with the wave skeletonization method has been carried out and it shows a good time and qualitative recognition results. Methods: The methods of Zhang-Suen, Hildich and thinning algorithm based on Ateb-Gabor filtration, which form the skeletons of biometric fingerprint images, are considered. The proposed thinning algorithm based on Ateb-Gabor filtration showed better efficiency because it is based on the best type of filtering, which is both a combination of the classic Gabor function and the harmonic Ateb function. The combination of this type of filtration makes it possible to more accurately form the surroundings where the skeleton is formed. Results: Along with the known ones, a new Ateb-Gabor filtering algorithm with the wave skeletonization method has been developed, the recognition results of which have better quality, which allows to increase the recognition quality from 3 to 10%. Conclusion: The Zhang-Suen algorithm is a 2-way algorithm, so for each iteration, it performs two sets of checks during which pixels are removed from the image. Zhang-Suen's algorithm works on a plot of black pixels with eight neighbors. This means that the pixels found along the edges of the image are not analyzed. Hilditch thinning algorithm occurs in several passages, where the algorithm checks all pixels and decides whether to replace a pixel from black to white if certain conditions are satisfied. This Ateb-Gabor filtering will provide better performance, as it allows to obtain more hollow shapes, organize a larger range of curves. Numerous experimental studies confirm the effectiveness of the proposed method.

scholarly journals Application of intelligent orienteering based on Internet of things

2020 ◽  
Vol 2020 (1) ◽  
Author(s):  
Donghui Zhang ◽  
Ruijie Liu
Keyword(s):  
Internet Of Things ◽  
Network Architecture ◽  
Emergency Services ◽  
Simulation Experiment ◽  
Experimental Studies ◽  
Signal Stability ◽  
Anchor Nodes ◽  
Set Up ◽  
The Relationship ◽  
The Internet Of Things

Abstract Orienteering has gradually changed from a professional sport to a civilian sport. Especially in recent years, orienteering has been widely popularized. Many colleges and universities in China have also set up this course. With the improvement of people’s living conditions, orienteering has really become a leisure sport in modern people’s life. The reduced difficulty of sports enables more people to participate, but it also exposes a series of problems. As the existing positioning technology is relatively backward, the progress in personnel tracking, emergency services, and other aspects is slow. To solve these problems, a new intelligent orienteering application system is developed based on the Internet of things. ZigBee network architecture is adopted in the system. ZigBee is the mainstream scheme in the current wireless sensor network technology, which has many advantages such as convenient carrying, low power consumption, and signal stability. Due to the complex communication environment in mobile signal, the collected information is processed by signal amplification and signal anti-interference technology. By adding anti-interference devices, video isolators and other devices, the signal is guaranteed to the maximum extent. In order to verify the actual effect of this system, through a number of experimental studies including the relationship between error and traffic radius and the relationship between coverage and the number of anchor nodes, the data shows that the scheme studied in this paper has a greater improvement in comprehensive performance than the traditional scheme, significantly improving the accuracy and coverage. Especially the coverage is close to 100% in the simulation experiment. This research has achieved good results and can be widely used in orienteering training and competition.

Monosaccharide Biosynthesis Pathways Database

Glycobiology ◽  
2021 ◽  
Author(s):  
Jaya Srivastava ◽  
P Sunthar ◽  
Petety V Balaji
Keyword(s):  
Expression Profiling ◽  
Experimental Studies ◽  
Structural Complexity ◽  
Evolutionary Relationships ◽  
Enzyme Assays ◽  
Biosynthesis Pathway ◽  
Knock Out ◽  
Set Up ◽  
Function Relationship ◽  
Natural Glycans

Abstract A distinctive feature of glycans vis-à-vis proteins and nucleic acids is its structural complexity which arises from the huge repertoire of monosaccharides, isomeric linkages and branching. A very large number of monosaccharides have so far been discovered in natural glycans. Experimentally, pathways for the biosynthesis have been characterized completely for 55 monosaccharides and partially for a few more. However, there is no single platform which provides information about monosaccharide biosynthesis pathways and associated enzymes We have gathered 572 experimentally characterized enzymes of 66 biosynthesis pathways from literature and set up a first of its kind database called the Monosaccharide Biosynthesis Pathways Database http://www.bio.iitb.ac.in/mbpd/). Annotations such as the reaction catalysed, substrate specificity, biosynthesis pathway and PubMed IDs are provided for all the enzymes in the database. Sequence homologs of the experimentally characterized enzymes found in nearly 13,000 completely sequenced genomes from Bacteria and Archaea have also been included in the database. This platform will help in the deduction of evolutionary relationships among enzymes such as aminotransferases, nucleotidyltransferases, acetyltransferases and SDR family enzymes. It can also facilitate experimental studies such as direct enzyme assays to validate putative annotations, establish structure–function relationship, expression profiling to determine the function, determine the phenotypic consequences of gene knock-out/knock-in and complementation studies.

scholarly journals Prediction of Pest Insect Appearance Using Sensors and Machine Learning

Sensors ◽  
2021 ◽  
Vol 21 (14) ◽  
pp. 4846
Author(s):  
Dušan Marković ◽  
Dejan Vujičić ◽  
Snežana Tanasković ◽  
Borislav Đorđević ◽  
Siniša Ranđić ◽  
...  
Keyword(s):  
Machine Learning ◽  
Relative Humidity ◽  
Weather Conditions ◽  
Daily Basis ◽  
Machine Learning Algorithms ◽  
Lower Percentage ◽  
Timely Manner ◽  
Proposed Model ◽  
Set Up ◽  
Accuracy Of Prediction

The appearance of pest insects can lead to a loss in yield if farmers do not respond in a timely manner to suppress their spread. Occurrences and numbers of insects can be monitored through insect traps, which include their permanent touring and checking of their condition. Another more efficient way is to set up sensor devices with a camera at the traps that will photograph the traps and forward the images to the Internet, where the pest insect’s appearance will be predicted by image analysis. Weather conditions, temperature and relative humidity are the parameters that affect the appearance of some pests, such as Helicoverpa armigera. This paper presents a model of machine learning that can predict the appearance of insects during a season on a daily basis, taking into account the air temperature and relative humidity. Several machine learning algorithms for classification were applied and their accuracy for the prediction of insect occurrence was presented (up to 76.5%). Since the data used for testing were given in chronological order according to the days when the measurement was performed, the existing model was expanded to take into account the periods of three and five days. The extended method showed better accuracy of prediction and a lower percentage of false detections. In the case of a period of five days, the accuracy of the affected detections was 86.3%, while the percentage of false detections was 11%. The proposed model of machine learning can help farmers to detect the occurrence of pests and save the time and resources needed to check the fields.

Intelligent diagnosis and analysis of brain lymphoma based on imaging features

2021 ◽  
pp. 1-11
Author(s):  
Yipu Mao ◽  
Muliang Jiang ◽  
Fanyu Zhao ◽  
Liling Long
Keyword(s):  
Imaging Techniques ◽  
Experimental Studies ◽  
Diagnostic Value ◽  
Imaging Features ◽  
Flow Properties ◽  
Brain Lymphoma ◽  
Diagnosis And Prognosis ◽  
Primary Brain Lymphoma ◽  
Set Up ◽  
Prognosis Evaluation

Currently, DSC has been extensively studied in the diagnosis, differential diagnosis and prognosis evaluation of brain lymphoma, but it has not obtained a uniform standard. By combining DSC imaging features, this study investigated the imaging features and diagnostic value of several types of tumors such as primary brain lymphoma. At the same time, this study obtained data from brain lymphoma patients by data collection and set up different groups to conduct experimental studies to explore the correlation between IVIM-MRI perfusion parameters and DSC perfusion parameters in brain lymphoma. Through experimental research, it can be seen that the combination of two perfusion imaging techniques can more fully reflect the blood flow properties of the lesion, which is beneficial to determine the nature of the lesion.

scholarly journals Robust H∞ Control of STMDs Used in Structural Systems by Hardware in the Loop Simulation Method

Actuators ◽  
2020 ◽  
Vol 9 (3) ◽  
pp. 55
Author(s):  
Huseyin Aggumus ◽  
Rahmi Guclu
Keyword(s):  
Natural Frequencies ◽  
Experimental Studies ◽  
Mr Damper ◽  
Simulation Method ◽  
Control Element ◽  
Structural Systems ◽  
Hardware In The Loop ◽  
Building Model ◽  
Mass Damper ◽  
Set Up

This paper investigated the performance of a semi-active tuned mass damper (STMD) on a multi-degree of freedom (MDOF) building model. A magnetorheological (MR) damper was used as a control element that provided semi-activity in the STMD. The Hardware in the Loop Simulation (HILS) method was applied to mitigate the difficulty and expense of experimental studies, as well as to obtain more realistic results from numerical simulations. In the implementation of this method for the STMD, the MR damper was set up experimentally, other parts of the system were modeled as computer simulations, and studies were carried out by operating these two parts simultaneously. System performance was investigated by excitation with two different acceleration inputs produced from the natural frequencies of the MDOF building. Additionally, a robust H ∞ controller was designed to determine the voltage transmitted to the MR damper. The results showed that the HILS method could be applied successfully to STMDs used in structural systems, and robust H ∞ controls improve system responses with semi-active control applications. Moreover, the control performance of the MR damper develops with an increase in the mass of the STMD.

scholarly journals Exploring the relation between aerosol optical depth and PM<sub>2.5</sub> at Cabauw, the Netherlands

2008 ◽  
Vol 8 (5) ◽  
pp. 17939-17986 ◽  
Author(s):  
M. Schaap ◽  
A. Apituley ◽  
R. M. A. Timmermans ◽  
R. B. A. Koelemeijer ◽  
G. de Leeuw
Keyword(s):  
The Netherlands ◽  
Ground Level ◽  
Weather Conditions ◽  
Fair Weather ◽  
Modis Aod ◽  
Data Points ◽  
Set Up ◽  
The Relationship ◽  
Lidar Observations ◽  
Pm2.5 Concentration

Abstract. To acquire daily estimates of PM2.5 distributions based on satellite data one depends critically on an established relation between AOD and ground level PM2.5. In this study we aimed to experimentally establish the AOD-PM2.5 relationship for the Netherlands. For that purpose an experiment was set-up at the AERONET site Cabauw. The average PM2.5 concentration during this ten month study was 18 μg/m3, which confirms that the Netherlands are characterised by a high PM burden. A first inspection of the AERONET level 1.5 (L1.5) AOD and PM2.5 data at Cabauw showed a low correlation between the two properties. However, after screening for cloud contamination in the AERONET L1.5 data, the correlation improved substantially. When also constraining the dataset to data points acquired around noon, the correlation between AOD and PM2.5 amounted to R2=0.6 for situations with fair weather. This indicates that AOD data contain information about the temporal evolution of PM2.5. We had used LIDAR observations to detect residual cloud contamination in the AERONET L1.5 data. Comparison of our cloud-screed L1.5 with AERONET L2 data that became available near the end of the study showed favorable agreement. The final relation found for Cabauw is PM2.5=124.5*AOD–0.34 (with PM2.5 in μg/m3) and is valid for fair weather conditions. The relationship determined between MODIS AOD and ground level PM2.5 at Cabauw is very similar to that based on the much larger dataset from the sun photometer data, after correcting for a systematic overestimation of the MODIS data of 0.05. We applied the relationship to a MODIS composite map to assess the PM2.5 distribution over the Netherlands. Spatial dependent systematic errors in the MODIS AOD, probably related to variability in surface reflectance, hamper a meaningful analysis of the spatial distribution of PM2.5 using AOD data at the scale of the Netherlands.

scholarly journals Impact of foliar fertilizing on the white mustard productivity in the northeastern Forest-Steppe of Ukaraine

2019 ◽  
pp. 24-28
Author(s):  
A.V. Melnyk ◽  
S.V. Zherdetska ◽  
Shahid Ali ◽  
Gulam Shabir ◽  
S.O. Butenko
Keyword(s):  
Maximum Yield ◽  
Experimental Studies ◽  
Weather Conditions ◽  
Black Soil ◽  
Mineral Fertilizers ◽  
Forest Steppe ◽  
White Mustard ◽  
Production Complex ◽  
Cultivation Technology ◽  
Training Research

The experimental studies were carried out on the fields of the Sumy NAU Training Research and Production Complex (TRPC) during 2016–2018.The soil of the experimental plot is typical deep-medium humus, large-dusty and medium-loam black soil on forest trees. The subject of the research was a white mustard variety of Oslava created at the Institute of Feed and Agriculture of the Podillya NAASU, entered in the Register of varieties suitable for cultivation in Ukraine in 2010. The aim of the research is to optimize the nutrition of the white mustard variety of Oslava through the complex application of mineral fertilizers and foliar fertilization under the conditions of the northeastern forest-steppe of Ukraine. The analysis of weather conditions, in particular the hydrothermal coefficient of Selyaninov (HTC), established that 2016 season was wet (HTC = 1.60), 2017 and 2018 were dry (HTC = 0.59 and 0.46). During the research, the cultivation technology was generally accepted in the experimental area, except for the elements studied. The results of the three-year study on the influence of foliar fertilizing under different mineral nutrition backgrounds on the yield of the white mustard variety Oslava are presented. It was found that the application of mineral fertilizers and complex fertilizers for the foliar feeding had a positive effect on the morphometric parameters of the white mustard, in particular, increased the plant height and the number of branches of the first order. The use of mineral fertilizers at the rate of N30P30K30 provided an increase in the yield by 0.34 t/ha, N60P60K60 – by 0.55 t/ha, N90P90K90 – by 0.61 t/ha on an average compared to the control. Therefore, for the maximum yield (2.14–2.21 t/ha) with a mass of 1000 seeds (5.39–5.54 g) of the white mustard under the conditions of the Northeastern Forest-Steppe of Ukraine, foliar fertilizing of Vuxal boron (3.0 l/ha) + Vuxal bioaminoplant 3.0 l/ha) and Spectrum B + Mo (2.0 l/ha) + Spectrum Ascorist (3.0 l/ha) should be applied on the background of N60-90P60-90K60-90, what provided an increase in the yield compared to the control of 0.58-0.65 t/ha.

scholarly journals Performance improvement of the heat recovery unit with sequential type heat pipes using TiO2 nanofluid

2019 ◽  
Vol 23 (3 Part B) ◽  
pp. 1755-1764 ◽  
Author(s):  
Ahmet Ozturk ◽  
Mehmet Ozalp ◽  
Adnan Sozen ◽  
Metin Guru
Keyword(s):  
Thermal Performance ◽  
Heat Recovery ◽  
Experimental Studies ◽  
Heat Pipes ◽  
Outer Diameter ◽  
Distilled Water ◽  
Condenser Section ◽  
Recovery System ◽  
Heat Recovery System ◽  
Set Up

This paper deals with the improvement of thermal performance of the heat recovery system in air-to-air unit by using a nanofluid of TiO particles and distilled water. The 2 experimental set-up equipped with 15 copper pipes of a 1000 mm length, 10.5 mm inner diameter, and 12 mm outer diameter was used. The evaporator section consists of 450 mm of heat pipes, the condenser section is 400 mm, and the adiabatic section is 150 mm. In experimental studies, 33% of the evaporator volumes of heat pipes were filled with working fluids. Experiments were carried out at temperatures between 25?C and 90?C by using five different cooling air-flows (40, 42, 45, 61, and 84 g/s), and two different heating powers (3 kW and 6 kW) for the evaporation section, to determine heat removed from the condensation section. Trials were performed for distilled water and nanofluid respectively, and the results were compared with each other. Results revealed that a 50% recovery in the thermal performance of the heat pipe heat recovery system was achieved in the design using TiO nanofluid as the working liquid, at a heating power of 3 kW, air 2 velocity of 2.03 m/s and air-flow of 84 g/s.

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