Classification of reconfigurable modular robotic systems

2020 ◽  
Vol 20 (3) ◽  
pp. 30-37
Author(s):  
N.A. Pavliuk ◽  
Keyword(s):  
Robotic Systems ◽  
Analytical Review ◽  
Key Features ◽  
Robotic Devices

In this paper analytical review and classification of existing modular robotic systems are presented, based on the key features of the devices and their configurations. The principal issues concerning modular robotic devices, systems and connection devices are described.

scholarly journals The role of RDoC in future classification of mental disorders

2020 ◽  
Vol 22 (1) ◽  
pp. 81-85 ◽  
Keyword(s):  
Mental Health ◽  
Affective Behavior ◽  
Research Domain Criteria ◽  
Computational Approaches ◽  
Diagnostic Categories ◽  
Key Features ◽  
Study Designs ◽  
Research Domain

The Research Domain Criteria (RDoC) project constitutes a translational framework for psychopathology research, initiated by the National Institute of Mental Health in an attempt to provide new avenues for research to circumvent problems emerging from the use of symptom-based diagnostic categories in diagnosing disorders. The RDoC alternative is a focus on psychopathology based on dimensions simultaneously defined by observable behavior (including quantitative measures of cognitive or affective behavior) and neurobiological measures. Key features of the RDoC framework include an emphasis on functional dimensions that range from normal to abnormal, integration of multiple measures in study designs (which can foster computational approaches), and high priority on studies of neurodevelopment and environmental influences (and their interaction) that can contribute to advances in understanding the etiology of disorders throughout the lifespan. The paper highlights key implications for ways in which RDoC can contribute to future ideas about classification, as well as some of the considerations involved in translating basic behavioral and neuroscience data to psychopathology.

scholarly journals Cystic renal diseases: role of ultrasound. Part II, genetic cystic renal diseases

2020 ◽  
Author(s):  
Adnan Kabaalioglu ◽  
Nesrin Gunduz ◽  
Ayse Keven ◽  
Emel Durmaz ◽  
Mine Aslan ◽  
...  
Keyword(s):  
Renal Cysts ◽  
The Other ◽  
Renal Diseases ◽  
Intravenous Contrast ◽  
Pictorial Essay ◽  
The Subject ◽  
Key Features

Kidney cysts are quite common in adults. Though small simple renal cysts in an adult over 30-40 years of age are not too unusual, however, if the same cysts are seen in a child, and especially if there are additional findings, then several diagnostic possibilities may come to mind. The role of ultrasound, together with the help of intravenous contrast agents and Doppler mode, are very critical in describing the morphologic features and follow-up of the complex or multiple and bilateral renal cysts. These sonographic signs are occasionally specific for diagnosis, but in many cases sonographic clues should be evaluated together with the other genetic and clinical data to reach diagnosis.The first part of this pictorial essay included the introduction into the subject and the classification of non-genetic cystic renal diseases. The key features for the non-genetic cystic renal diseases are illustrated. In the second part, eye-catching features of genetic cystic renal diseases are demonstrated.

Evolution of Spatial Data Templates for Object Classification

Data Mining ◽  
2011 ◽  
pp. 143-156
Author(s):  
Neil Dunstan ◽  
Michael de Raadt
Keyword(s):  
Image Processing ◽  
Genetic Algorithms ◽  
Spatial Data ◽  
Search Space ◽  
Multidimensional Space ◽  
Model Object ◽  
Object Categories ◽  
Different Depths ◽  
Key Features

Sensing devices are commonly used for the detection and classification of subsurface objects, particularly for the purpose of eradicating Unexploded Ordnance (UXO) from military sites. UXO detection and classification is inherently different to pattern recognition in image processing in that signal responses for the same object will differ greatly when the object is at different depths and orientations. That is, subsurface objects span a multidimensional space with dimensions including depth, azimuth and declination. Thus the search space for identifying an instance of an object is extremely large. Our approach is to use templates of actual responses from scans of known objects to model object categories. We intend to justify a method whereby Genetic Algorithms are used to improve the template libraries with respect to their classification characteristics. This chapter describes the application, key features of the Genetic Algorithms tested and the results achieved.

The glomerulus and the concept of glomerulonephritis

2015 ◽  
Author(s):  
Alexander Woywodt ◽  
Diana Chiu
Keyword(s):  
Filtration Rate ◽  
Hybrid Approach ◽  
Glomerular Disease ◽  
Multisystem Disease ◽  
Glomerular Diseases ◽  
Clinical Syndromes ◽  
Different Types ◽  
Key Features ◽  
The 1960S

The key features of glomerular diseases—haematuria, proteinuria, loss of glomerular filtration rate, and hypertension—were recognized in the nineteenth century, and some earlier, but Richard Bright is usually given credit for synthesizing the concepts of renal disease, and glomerulonephritis came under the heading of Bright’s disease for almost a century. Separation into different types was based on first clinical syndromes, but in the early twentieth century, pathological description was improving and with the introduction of percutaneous renal biopsies in the 1950s, in the 1960s histopathological definitions assumed the ascendancy. A unifying classification of glomerular disease remains work in progress. Current classifications are pathologically based but increasingly include the results of other investigations (including genotype and a variety of immunological and other tests). This chapter follows this pragmatic, hybrid approach, categorizing glomerular disease by pattern on renal biopsy except where aetiological factors are clearly identified (e.g. HIV nephropathy), or associated multisystem disease is defined (e.g. lupus nephritis), or the immunopathogenesis is well characterized (e.g. antiglomerular basement membrane disease).

scholarly journals Analytical review on information retrieval methods and applications in the Semantic Web

2016 ◽  
pp. 051-072
Author(s):  
I.J. Grishanova ◽  
Keyword(s):  
Information Retrieval ◽  
Semantic Web ◽  
Search Engines ◽  
Search Model ◽  
Architectural Features ◽  
Proposed Model ◽  
Analytical Review ◽  
Information Retrieval Methods ◽  
The Web

The article describes and analyzes the Information Retrieval (IR) methods and applications in the environment of Semantic Web. The author provided the basic Information Retrieval concepts, problems, models and classification of IR systems on various grounds. Examples of existing modern search engines, as well as highlighted the stages of development and listed a list of functional and architectural features of 3-rd search engines generation. The proposed model of IR extends the classification of search engines and search model with the possibility of finding new objects that have become available in the web, and use knowledge represented in the Semantic Web.

scholarly journals The concept and features to the coded act (code)

2021 ◽  
pp. 53-60
Author(s):  
Elena Tentiuc ◽  
Keyword(s):  
Dominant Position ◽  
Key Features

This paper contains a classification of the main features of the codified act, which differentiates it from uncoded normative legal acts. One of the key features discussed in the article relates to the dominant position of the code in relation to other normative acts, of the same level, so that the author comes up with a de lege ferenda proposal to enshrine this position. Systematizing the various doctrinal opinions, the author finally comes up with his own doctrinal enumeration of the features that represent, in her opinion, the most relevant characteristics of the codified act.

scholarly journals Application of biometric systems in face identification technologies

2021 ◽  
Vol 9 (3) ◽  
pp. 7-14
Author(s):  
A. A. Kulikov
Keyword(s):  
Biometric Recognition ◽  
Security Systems ◽  
Pixel Intensity ◽  
Biometric Verification ◽  
Biometric Systems ◽  
Analytical Review ◽  
The Subject ◽  
Identification Of Persons ◽  
Data Subject

The paper presents an analytical review of the application of biometric recognition systems in relation to facial image identification technologies. The classification of biometric systems is presented. The trends of technological progress in the field of biometrics and facial recognition capabilities are considered. It is determined that in 2020 there is a trend of transition from the use of biometric recognition technologies in traditional state security systems to the sphere of commercial and user applications. The process of «linking» encryption keys and passwords with the biometric parameters of the data subject is described. It is proposed that a biometric feature and a biometrics parameter mean a certain value that has a physical meaning that characterizes the subject itself. The possibility of using circular neighborhood and bilinear interpolation of pixel intensity values in biometrics is also presented. This will make it possible to build a local binary template. In order to solve the problem of identification of persons, it is advisable to investigate the essence of biometric systems in the technologies of identification of persons, their types, identifying the shortcomings of each of them, on the basis of which to present the directions of elimination and search for the most reliable technologies. The essence of the use of biometric systems in the technologies of identification of persons is, for example, that the user can provide the bank or other counterparty with evidence that it is he who wants to use the services on his accounts. At the same time, the demand has increased for contactless biometric solutions. These technologies are implemented in order to conduct additional biometric verification of users. This allows to minimize possible fraud or violation of the internal rules of the service, for example, the transfer of accounts of some registered users to others.

scholarly journals Geomorphometry today

2021 ◽  
Vol 27 (2) ◽  
pp. 394-448
Author(s):  
Igor Florinsky
Keyword(s):  
Noise Suppression ◽  
Three Dimensional ◽  
Aerial Survey ◽  
Machine Learning Techniques ◽  
Multi Scale ◽  
Learning Techniques ◽  
Digital Elevation ◽  
Analytical Review ◽  
The Subject

Topography is the most important component of the geographical shell, one of the main elements of geosystems, and the framework of a landscape. geomorphometry is a science, the subject of which is modeling and analyzing the topography and the relationships between topography and other components of geosystems. Currently, the apparatus of geomorphometry is widely used to solve various multi-scale problems of the Earth sciences. As part of the RFBR competition “Expansion”, we present an analytical review of the development of theory, methods, and applications of geomorphometry for the period of 2016–2021. For the analysis, we used a sample of 485 of the strongest and most original papers published in international journals belonging to the JCR Web of Science Core Collection quartile I and II (Q1–Q2), as well as monographs from leading international publishers. We analyze factors caused a progress in geomorphometry in recent years. These include widespread use of unmanned aerial survey and digital photogrammetry, development of tools and methods for survey of submarine topography, emergence of new publicly available digital elevation models (DEMs), development of new methods of DEM preprocessing for their filtering and noise suppression, development of methods of two-dimensional and three-dimensional visualization of DEMs, introduction of machine learning techniques, etc. We consider some aspects of the geomorphometric theory developed in 2016–2021. In particular, a new classification of morphometric values is presented. We discuss new computational methods for calculating morphometric models from DEM, as well as the problems facing the developers and users of such methods. We consider application of geomorphometry for solving multiscale problems of geomorphology, hydrology, soil science, geology, glaciology, speleology, plant science and forestry, zoogeography, oceanology, planetology, landslide studies, remote sensing, urban studies, and archaeology.

scholarly journals METHODS OF SEARCHING FOR ANOMALIES IN THE DATA PROVIDED BY MODE PARAMETERS MEASUREMENTS OF THE ELECTRIC NETWORK

2021 ◽  
pp. 67-73
Author(s):  
O. Yandulskiy ◽  
O. Bukhanenko
Keyword(s):  
Data Collection ◽  
Power Systems ◽  
Electric Power ◽  
Electric Power Systems ◽  
Electric Network ◽  
Modern Methods ◽  
Analytical Review

The materials of the article are an overview of the problems of development of electric power systems in the context of data collection and processing of mode parameters and analytical review of methods of search and detection of anomalies in data of synchronized vector measurements of mode parameters of electric network. The classification of anomalies, problems that arise during their search, classification of methods of search and detection of anomalies, as well as modern methods of finding anomalies in the data of synchronized vector measurements of power systems are considered.

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