scholarly journals Method of critical control of atmospheric radiosounding data in the range of extreme deviations

2019 ◽  
pp. 23-32
Author(s):  
M. V. Savenets
Keyword(s):  
Control Method ◽  
Lower Troposphere ◽  
Threshold Values ◽  
Night Time ◽  
Total Period ◽  
Control Techniques ◽  
Second Stage ◽  
Total Percentage ◽  
Different Types ◽  
Distribution Parameters

The paper presents a new method of critical control of atmospheric radiosounding data in the range of extreme deviations of air temperature, isobaric level elevation, relative humidity and wind components. The method was developed based on atmospheric radiosounding data taken from 9 Ukrainian aerological stations over the period of 1973–2018. “Buoyant” threshold values form the basis of the developed method. These values correspond to the deviation threshold for each of aerological characteristics where statistical distribution of such characteristics reaches a zero value for the first time. Departure from constant threshold values in favor of “buoyant” values allowed for consideration of the main features of aerological characteristics dispersion, dependence from altitude and difference of distribution parameters observed during daylight and at night time. Potential errors in the range of extreme deviations may be identified when the values go beyond the thresholds of "the distribution body". The total percentage of such overrange amounts to 0.2% in the middle and upper troposphere, 0.3–1.8% in the lower troposphere, and up to 2% in the stratosphere. At the second stage of the developed method potential errors are checked using partial vertical, partial horizontal and temporal control techniques. The second stage of control is implemented for the levels where time series reach at least 3700 values. It allows for accurate calculation of average multi-year values required for performing the horizontal control. Potential errors are considered as real ones if there is a confirmation of existence of three extreme deviations taken from the “neighbor stations – neighbor observation periods – neighbor isobaric levels” set. It means that a potential error should be confirmed with at least two different types of critical control. At high altitudes two confirmations are enough provided a conclusion is made following the results of different types of control. The developed critical control method allowed rejection of the claim about incorrectness of 568 values with their maximum deviations reaching 6.2 and -6.4 σ for the total period of observation. The critical control of extreme deviations and the physical permissible limits control form necessary components of the complex critical control of atmospheric radiosounding data. They provide input information used for horizontal, vertical and hydrostatic control techniques.

An Enhanced Two Stage MMSE Equalizer for Coded FBMC/OQAM Systems

2019 ◽  
Vol 10 (1) ◽  
pp. 69-82 ◽  
Author(s):  
Mohammad Rizk Assaf ◽  
Abdel-Nasser Assimi
Keyword(s):  
Error Propagation ◽  
Channel Model ◽  
Error Correcting Codes ◽  
Two Stage ◽  
Probability Of Error ◽  
Second Stage ◽  
Different Types ◽  
Mmse Equalizer ◽  
And Performance ◽  
Ici Cancellation

In this article, the authors investigate the enhanced two stage MMSE (TS-MMSE) equalizer in bit-interleaved coded FBMC/OQAM system which gives a tradeoff between complexity and performance, since error correcting codes limits error propagation, so this allows the equalizer to remove not only ICI but also ISI in the second stage. The proposed equalizer has shown less design complexity compared to the other MMSE equalizers. The obtained results show that the probability of error is improved where SNR gain reaches 2 dB measured at BER compared with ICI cancellation for different types of modulation schemes and ITU Vehicular B channel model. Some simulation results are provided to illustrate the effectiveness of the proposed equalizer.

A novel two-stage method of plant seedlings classification based on deep learning

2021 ◽  
pp. 1-11
Author(s):  
Tianhong Dai ◽  
Shijie Cong ◽  
Jianping Huang ◽  
Yanwen Zhang ◽  
Xinwang Huang ◽  
...  
Keyword(s):  
Deep Learning ◽  
Learning Technology ◽  
Two Stage ◽  
Second Stage ◽  
Stage Classification ◽  
Different Types ◽  
Two Stages ◽  
Plant Seedlings

In agricultural production, weed removal is an important part of crop cultivation, but inevitably, other plants compete with crops for nutrients. Only by identifying and removing weeds can the quality of the harvest be guaranteed. Therefore, the distinction between weeds and crops is particularly important. Recently, deep learning technology has also been applied to the field of botany, and achieved good results. Convolutional neural networks are widely used in deep learning because of their excellent classification effects. The purpose of this article is to find a new method of plant seedling classification. This method includes two stages: image segmentation and image classification. The first stage is to use the improved U-Net to segment the dataset, and the second stage is to use six classification networks to classify the seedlings of the segmented dataset. The dataset used for the experiment contained 12 different types of plants, namely, 3 crops and 9 weeds. The model was evaluated by the multi-class statistical analysis of accuracy, recall, precision, and F1-score. The results show that the two-stage classification method combining the improved U-Net segmentation network and the classification network was more conducive to the classification of plant seedlings, and the classification accuracy reaches 97.7%.

Ontology Engineering for Gastric Dystemperament in Persian Medicine

2021 ◽  
Author(s):  
Hassan Shojaee-Mend ◽  
Haleh Ayatollahi ◽  
Azam Abdolahadi
Keyword(s):  
Literature Review ◽  
Delphi Study ◽  
Evaluation Study ◽  
Mixed Methods Study ◽  
Case Based Reasoning ◽  
Second Stage ◽  
New Concepts ◽  
Persian Medicine ◽  
Different Types ◽  
Specification Document

Abstract Objective Developing an ontology can help collecting and sharing information in traditional medicine including Persian medicine in a well-defined format. The present study aimed to develop an ontology for gastric dystemperament in the Persian medicine. Methods This was a mixed-methods study conducted in 2019. The first stage was related to providing an ontology requirements specification document. In the second stage, important terms, concepts, and their relationships were identified via literature review and expert panels. Then, the results derived from the second stage were refined and validated using the Delphi method in three rounds. Finally, in the fourth stage, the ontology was evaluated in terms of consistency and coherence. Results In this study, 241 concepts related to different types of gastric dystemperament, diagnostic criteria, and treatments in the Persian medicine were identified through literature review and expert panels, and 12 new concepts were suggested during the Delphi study. In total, after performing three rounds of the Delphi study, 233 concepts were identified. Finally, an ontology was developed with 71 classes, and the results of the evaluation study revealed that the ontology was consistent and coherent. Conclusion In this study, an ontology was created for gastric dystemperament in the Persian medicine. This ontology can be used for designing future systems, such as case-based reasoning and expert systems. Moreover, the use of other evaluation methods is suggested to construct a more complete and precise ontology.

scholarly journals Construction of the RSS V3.2 Lower-Tropospheric Temperature Dataset from the MSU and AMSU Microwave Sounders

2009 ◽  
Vol 26 (8) ◽  
pp. 1493-1509 ◽  
Author(s):  
Carl A. Mears ◽  
Frank J. Wentz
Keyword(s):  
Lower Stratosphere ◽  
Weighting Function ◽  
Lower Troposphere ◽  
Weighted Average ◽  
Atmospheric Temperature ◽  
Tropospheric Temperature ◽  
Satellite Measurements ◽  
Microwave Sounding Unit ◽  
Different Types ◽  
Microwave Sounding

Abstract Measurements made by microwave sounding instruments provide a multidecadal record of atmospheric temperature in several thick atmospheric layers. Satellite measurements began in late 1978 with the launch of the first Microwave Sounding Unit (MSU) and have continued to the present via the use of measurements from the follow-on series of instruments, the Advanced Microwave Sounding Unit (AMSU). The weighting function for MSU channel 2 is centered in the middle troposphere but contains significant weight in the lower stratosphere. To obtain an estimate of tropospheric temperature change that is free from stratospheric effects, a weighted average of MSU channel 2 measurements made at different local zenith angles is used to extrapolate the measurements toward the surface, which results in a measurement of changes in the lower troposphere. In this paper, a description is provided of methods that were used to extend the MSU method to the newer AMSU channel 5 measurements and to intercalibrate the results from the different types of satellites. Then, satellite measurements are compared to results from homogenized radiosonde datasets. The results are found to be in excellent agreement with the radiosonde results in the northern extratropics, where the majority of the radiosonde stations are located.

scholarly journals Effectiveness of Sterile Insect Technique for Medfly (Ceratitis capitata, Wiedemann, 1824) Control in Citrus Orchards of Moulouya Perimeter North East of Morocco

2020 ◽  
Vol 4 (3) ◽  
pp. 405-421
Author(s):  
Jamal BEN YAZID ◽  
Z. CHAFIK ◽  
I. BIBI ◽  
E. KHARMACH
Keyword(s):  
Sterile Insect Technique ◽  
Ceratitis Capitata ◽  
Control Method ◽  
Male Population ◽  
Control Techniques ◽  
North East ◽  
North Eastern ◽  
Citrus Orchards ◽  
Eastern Morocco ◽  
Trap Catches

The Sterile Insect Technique (SIT) is an effective pest control method developed worldwide against many species of Fruit Flies. It involves the release of male insects sterilized, at pupae instar, by exposure to ionizing radiation.  The Area-wide control of medfly (Ceratitis capitata), with SIT based on sterile males release combined to other control techniques, was implemented since 2017 as a pilot area in Moulouya Perimeter in North-eastern Morocco. The main objective of this study is to evaluate the effectiveness of this tool in controlling Medfly and estimate sterile male population densities from data collected from trap catches after the release of a pre-determined number of sterile males in five Citrus orchards (0, 500, 1000 and 3000 sterile males per hectare) and the calculation of FTD (fly/trap/day) of sterile and wild males. The result showed that the percentage of recaptured males and FTD Sterile indices were related to release density by power function regression, while the sterile to wild ratio and release density were linear regression-adjusted. The finding confirmed the effectiveness of release in reducing the fly population in the TIS area by reducing the rate of citrus infestation in field and export shipments.  

scholarly journals CHARACTERISTICS OF FISH CRACKERS BASED ON TYPES OF FISH AND DIFFERENT TYPES OF STARCH

2018 ◽  
Vol 5 (2) ◽  
pp. 102
Author(s):  
Dede Zaenal Arif
Keyword(s):  
Economic Value ◽  
Free Variable ◽  
Physical Analysis ◽  
Second Stage ◽  
Sample Composition ◽  
Different Types ◽  
Development Levels ◽  
Tapioca Flour ◽  
Two Stages ◽  
Organoleptic Parameters

The purpose of this research is to produce fish crackers from different types of fish, namely catfish and patin fish as well as different types of starch and know the characteristics of a good fish crackers. The benefit that can be expected from this research was to utilize catfish and patin fish abundant potency and add economic value. The method of this research was divided into two stages, namely the first stage is the stage which determines the range of the comparison with the fish flour, determine the type of fish and determine the type of flour used by using the hedonik method of organoleptic parameters. On the second stage has a purpose and that is to analyze chemical and physical fish crackers by comparison. The data were analyzed using the method of experiment results simple linear variable (x) increase in comparison of fish and flour (part). The free variable (y) consists of the response of the color, flavor, aroma, texture, volume and the development levels of crispness. The type of fish and the type of starch correlated against all response organoleptic, except the catfish and tapioca flour was not correlated against sense, catfish and cornmeal were not correlated against the texture of the fish, and catfish and sago flour not correlated against scent. The highest correlation is indicated by the sample composition of the cornmeal and catfish fish total value index by 17 of the total value of the correlation coefficient in classification. The sample was selected based on organoleptic level consumer favorite is with the composition of samples catfish and tapioca flour with a 1:1 comparison (111). Based on the results of the chemical analysis of protein obtained 24,38%, fat content of 1.6%, levels of starch of 44.69% and water content of 5.5%. Physical analysis of the parameter and the mobilising of the volume development of IE of 146.43% and the level of crispness that is of 0.56 mm/s/50gram.  

Research on Human-Computer Interaction Control Method in the Background of Internet of Things

2021 ◽  
Author(s):  
Yingying Hu ◽  
Zhongyang Li
Keyword(s):  
Internet Of Things ◽  
Control Method ◽  
Computer Control ◽  
Control Device ◽  
Smart Devices ◽  
The Internet ◽  
Interactive Control ◽  
Interaction Control ◽  
Different Types ◽  
The Internet Of Things

Against the background of the growing development of the Internet of Things, this article conducts research on more efficient methods for controlling the interconnection of all things, and proposes that smart devices use the same operating platform, and the human-computer interface presents universal modular controls for manipulation, it can satisfy the requirement that one device controls several different types of controlled device simultaneously. At the same time, the interactive method uses the controlled device to actively submit control content to the control device, and discusses the human-computer interactive control method applicable to the Internet of Everything, and strives to achieve a convenient and easy-to-use human-computer control experience.

Keyword Selection Methodology for Identification of Major Events using Social Networks

2015 ◽  
Vol 7 (1) ◽  
pp. 42-60
Author(s):  
Eitan Bahir ◽  
Ammatzia. Peled
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Early Identification ◽  
Real Time Systems ◽  
Threshold Values ◽  
Terror Attacks ◽  
Different Types ◽  
Processing Effort ◽  
Selection Methodology ◽  
Time Systems

The understanding of information communicated over social networks enables quick tracking of real events as they occur. In other cases, where the “crowd” factor is on high note, it is possible to identify events and to evaluate their magnitude, even before they occur. A full assessment of the content generated by social network users is very complex. This, due to the gigantic volume of data communicated over the net at any given time. Using few, well defined, keywords for the detection of relevant data reduces, considerably, the processing effort and expedites the identification of events, such as wildfire, floods or terror attacks. The preliminary results here has shown that by using keywords, specially tailored for different types of major events, one may detect ‘abnormal' surges of social network activities. Also, presented are threshold values, in terms of magnitude and frequency designed for early detection of these events. This approach is the basis for the development of algorithms for early identification real time systems and for geographical tracking of major events.

Study of the Different Transmission Line Faults for a Grid Connected Wind Farm with Different Types of Control Method for RSC

2017 ◽  
Vol 5 (2) ◽  
pp. 338
Author(s):  
Reza Najafi
Keyword(s):  
Wind Farm ◽  
Control Method ◽  
Wind Energy Conversion ◽  
Remote Areas ◽  
Power Stations ◽  
Simulink Simulation ◽  
Different Types ◽  
Energy Conversion System ◽  
Rotor Side Converter ◽  
Proper Operation

<p>Wind power stations, many  located in remote areas; so they are characterized by weak grids and are often submitted to power system disturbance like faults. In this paper, the behaviour of a wind energy conversion system that uses the control of the rotor side converter (RSC) by three different methods  under faulty conditions is presented. The behaviour of these systems during a grid failure is an important issue.  DFIG is analysed and simulated under differing faulty conditions in the environment of MATLAB/SIMULINK. Simulation results show that the proposed method has proper operation during fault conditions.</p><p> </p>

scholarly journals A Novel Approach for Efficient Forgery Image Detection Using Hybrid Feature Extraction and Classification

2018 ◽  
Vol 7 (3.27) ◽  
pp. 215
Author(s):  
G Clara Shanthi ◽  
V Cyril Raj
Keyword(s):  
Feature Extraction ◽  
Support Vector ◽  
Forgery Detection ◽  
Image Splicing ◽  
Image Forgery ◽  
Second Stage ◽  
Image Forgery Detection ◽  
Novel Approach ◽  
Different Types ◽  
Hybrid Feature Extraction

Image forgery detection is developing as one of the major research topic among researchers in the area of image forensics. These image forgery detection is addressed by two different types: (i) Active, (ii) Passive. Further consist of some different methods, such as Copy-Move, Image Splicing, and Retouching. Development of the image forgery is very necessary to detect as the image is true or it is forgery. In this paper, an efficient forgery detection and classification technique is proposed by three different stages. At first stage, preprocessing is carried out using bilateral filtering to remove noise. At second stage, extract unique features from forged image by using efficient feature extraction technique namely Gray Level Co-occurance Matrices (GLCM). Here, the GLCM improves the feature extraction accuracy. Finally, forged image is detected by classifying the type of image forgery using Multi Class- Support Vector Machine (SVM). Also, the performance of the proposed method is analyzed using the following metrics: accuracy, sensitivity and specificity.  

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