scholarly journals A Review of Insect Monitoring Approaches with Special Reference to Radar Techniques

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1474
Author(s):  
Alexey Noskov ◽  
Joerg Bendix ◽  
Nicolas Friess
Keyword(s):  
Data Processing ◽  
Special Reference ◽  
Continuous Wave ◽  
High Potential ◽  
Advanced Technologies ◽  
Modern Methods ◽  
Insect Populations ◽  
Insect Monitoring ◽  
Established Technique

Drastic declines in insect populations are a vital concern worldwide. Despite widespread insect monitoring, the significant gaps in the literature must be addressed. Future monitoring techniques must be systematic and global. Advanced technologies and computer solutions are needed. We provide here a review of relevant works to show the high potential for solving the aforementioned problems. Major historical and modern methods of insect monitoring are considered. All major radar solutions are carefully reviewed. Insect monitoring with radar is a well established technique, but it is still a fast-growing topic. The paper provides an updated classification of insect radar sets. Three main groups of insect radar solutions are distinguished: scanning, vertical-looking, and harmonic. Pulsed radar sets are utilized for all three groups, while frequency-modulated continuous-wave (FMCW) systems are applied only for vertical-looking and harmonic insect radar solutions. This work proves the high potential of radar entomology based on the growing research interest, along with the emerging novel setups, compact devices, and data processing approaches. The review exposes promising insect monitoring solutions using compact radar instruments. The proposed compact and resource-effective setups can be very beneficial for systematic insect monitoring.

scholarly journals The theory of dysbiosis (dysbacteriosis)

2017 ◽  
Vol 95 (8) ◽  
pp. 677-686
Author(s):  
Yakov S. Tsimmerman
Keyword(s):  
Special Reference ◽  
Clinical Manifestations ◽  
Review Article ◽  
Classification Criteria ◽  
Intestinal Dysbiosis ◽  
Modern Methods ◽  
Antibiotic Associated Diarrhea ◽  
Small Intestinal ◽  
Pseudomembraneous Colitis

This review article presents definitions of intestinal dysbiosis, main characteristic of normal gastro-intestinal biocenosis, classification of eubiocenosis, data on mucosal and luminal microflora, its functions and their regulation, peculiarities of colon and small intestinal dysbiosis, its classification, criteria for virulence of opportunistic microflora. Debatable terminological issues are considered. Modern methods of diagnostics of colon and small intestinal dysbiosis are described with reference to its clinical manifestations, such as antibiotic-associated diarrhea and pseudomembraneous colitis. New hypotheses of microflora phylogenetic core and symbiotic digestion are discussed with special reference to their rationale and prospects of further studies.

Social Media Handbuch

2021 ◽  
Keyword(s):  
Social Media ◽  
Data Processing ◽  
Business Models ◽  
Practical Application ◽  
Strategy Model ◽  
The Social ◽  
Platform Economy

The Social Media Handbook provides guidance on long-term developments in the ever-changing social media sector and explains fundamental interrelationships in this field. It describes a strategy model for the development of one’s own solutions, summarises the theories, methods and models of leading authors and shows their practical application, while also highlighting current developments and dealing with the topic of data processing in social media. An examination of the platform economy with its economic functions facilitates the classification of business models in social media. The book also shows how platforms and their algorithms can influence our actions and shape our opinions. With contributions by Prof. Karin Bjerregaard Schlüter, Andrea Braun, Franziska Geue, Tobias Knopf, Markus Korbien, Prof. Dr. Daniel Michelis, Stefan Pfaff, Thanh H. Pham, Tom Reichstein, Prof. Dr. Anna Riedel, Michael Sarbacher, Prof. Dr. Dr. Thomas Schildhauer, Prof. Dr. Hendrik Send, Dr. Stefan Stumpp, Prof. Dr. Sebastian Volkmann, Jan-Benedikt Weber, Julia Weißhaupt, Norman Wiebach und Prof. Dr. Christian Wissing.

scholarly journals Presence and Biomass Information Extraction from Highly Uncertain Data of an Experimental Low-Range Insect Radar Setup

Diversity ◽  
2021 ◽  
Vol 13 (9) ◽  
pp. 452
Author(s):  
Alexey Noskov ◽  
Sebastian Achilles ◽  
Jörg Bendix
Keyword(s):  
Continuous Wave ◽  
Uncertain Data ◽  
Light Trap ◽  
Global Solutions ◽  
Absolute Magnitude ◽  
Real Field ◽  
Biomass Estimation ◽  
60 Ghz ◽  
Fmcw Radar ◽  
Insect Monitoring

Systematic, practicable, and global solutions are required for insect monitoring to address species decline and pest management concerns. Compact frequency-modulated continuous-wave (FMCW) radar can facilitate these processes. In this work, we evaluate a 60 GHz low-range FMCW radar device for its applicability to insect monitoring. Initial tests showed that radar parameters should be carefully selected. We defined optimal radar configuration during the first experiment and developed a methodology for individual target observation. In the second experiment, we tried various individual-insect targets, including small ones. The third experiment was devoted to mass-insect-target detection. All experiments were intentionally conducted in very uncertain conditions to make them closer to a real field situation. A novel parameter, the Sum of Sequential Absolute Magnitude Differences (SSAMD), has been proposed for uncertainty reduction and noisy data processing. SSAMD enables insect target presence detection and biomass estimation. We have defined ranges of SSAMD for distinguishing noise, insects, and other larger targets (e.g., bats, birds, or other larger objects). We have provided evidence of the high correlation between insect numbers and the average of SSAMD values proving the biomass estimation possibility. This work confirms that such radar devices can be used for insect monitoring. We plan to use the evaluated system assembled with a light trap for real fieldwork in the future.

scholarly journals THE GWAC DATA PROCESSING AND MANAGEMENT SYSTEM

2021 ◽  
Vol 53 ◽  
pp. 174-179
Author(s):  
Y. Xu ◽  
L. P. Xin ◽  
X. H. Han ◽  
H. B. Cai ◽  
L. Huang ◽  
...  
Keyword(s):  
Data Processing ◽  
User Interfaces ◽  
Management System ◽  
Scientific Data ◽  
Data Archiving ◽  
Processing Pipeline ◽  
Advanced Technologies ◽  
Single Frame ◽  
Moonless Night ◽  
Processing Requirement

GWAC will have been built an integrated FOV of 5,000 degree2 and have already built 1,800 square degree2. The limit magnitude of a 10-second exposure image in the moonless night is 16R. In each observation night, GWAC produces about 0.7TB of raw data, and the data processing pipeline generates millions of single frame alerts. We describe the GWAC Data Processing and Management System (GPMS), including hardware architecture, database, detection-filtering-validation of transient candidates, data archiving, and user interfaces for the check of transient and the monitor of the system. GPMS combines general technology and software in astronomy and computer field, and use some advanced technologies such as deep learning. Practical results show that GPMS can fully meet the scientific data processing requirement of GWAC. It can online accomplish the detection, filtering and validation of millions of transient candidates, and feedback the final results to the astronomer in real-time. During the observation from October of 2018 to December of 2019, we have already found 102 transients.

scholarly journals Sports potential modeling of young basketball players: a preliminary analysis

2019 ◽  
Vol 21 ◽  
Author(s):  
Dilson Borges Ribeiro Junior ◽  
Jeferson Macedo Vianna ◽  
André de Assis Lauria ◽  
Emerson Filipino Coelho ◽  
Francisco Zacaron Werneck
Keyword(s):  
Adult Height ◽  
High Potential ◽  
Basketball Players ◽  
Chi Square ◽  
Chi Square Test ◽  
Student’S T ◽  
The Relationship ◽  
Student’S T Test ◽  
Adult Stature

Abstract The aims of this study were: 1) to evaluate the sports potential of young basketball players; 2) to identify variables that discriminate sports potential assessed by coaches; 3) to verifythe relationship between classification of the multidimensional profile of athletes and classification of the sports potential by coaches. Sixty-two young basketball players aged 15.6±1.1 years from U-15 (n = 24) and U-17 (n = 38) categories participated in the study. A test battery was applied to evaluate sports potential indicators: 1) anthropometric; 2) physicomotor; 3) psychological;4) skills;5) socio-environmental;6) maturational and 7) sports potential.Clusteranalysis was performed in three groups: high, medium and low potential. Student’s t-test was used for the comparison between athletes evaluated by the coach as excellent and the others and the Chi-Square test to verify the relationship between sports potential classifications. It was observed that in the high-potential group, athletes were chronologically older, with higher % predicted adult height (PMS), competitive and determined sports orientation, higher body size, lower skinfold summation, and greater physicomotor performance. In comparison with other athletes, high-potential basketball players presented higher stature, wider wingspan,longer limb length, greater predicted adult stature and higher Z score of the % PMS. It could be concluded that the multidimensional approach was useful for the evaluation of the sports potential of young basketball players, requiring the use of multidimensional variables, in addition to coaches’ opinion regarding the potential of their athletes.

CLASSIFICATION OF SCHIZOPHRENIA USING SVM VIA fNIRS

2018 ◽  
Vol 30 (02) ◽  
pp. 1850008 ◽  
Author(s):  
Mehrdad Dadgostar ◽  
Seyed Kamaledin Setarehdan ◽  
Sohrab Shahzadi ◽  
Ata Akin
Keyword(s):  
Mental Disorder ◽  
Optical Imaging ◽  
Near Infrared ◽  
Continuous Wave ◽  
Support Vector ◽  
Functional Near Infrared Spectroscopy ◽  
Neural Activities ◽  
Preliminary Examination ◽  
Invasive Method

In the present study, a classification of functional near-infrared spectroscopy (fNIRS) based on support vector machine (SVM) is presented. It is a non-invasive method monitoring human brain function by evaluating the concentration variation of oxy-hemoglobin and deoxy-hemoglobin. fNIRS is a functional optical imaging technology that measures the neural activities and hemodynamic responses in brain. The data were gathered from 11 healthy volunteers and 16 schizophrenia of the same average age by a 16-channel fNIRS (NIROXCOPE 301 system developed at the Neuro-Optical Imaging Laboratory, continuous-wave dual wavelength). Schizophrenia is a mental disorder that is characterized by mental processing collapse and weak emotional responses. This mental disorder is usually accompanied by a serious disturbance in social and occupational activities. The signals were initially preprocessed by DWT to remove any systemic physiological impediment. A preliminary examination by the genetic algorithm (GA) suggested that some channels of the recreated fNIRS signals required further investigation. The energy of these recreated channel signals was computed and utilized for signal arrangement. We used SVM-based classifier to determine the cases of schizophrenia. The result of six channels is higher than 16 channels. The results demonstrated a classification precision of about 87% in the discovery of schizophrenia in the healthy subjects.

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