Descriptive Image Analysis. Foundations and Descriptive Image Algebras

Author(s):  
Igor Gurevich ◽  
Vera Yashina

The paper is devoted to Descriptive Image Analysis (DA) — a leading line of the modern mathematical theory of image analysis. DA is a logically organized set of descriptive methods, mathematical objects, and models and representations aimed at analyzing and evaluating the information represented in the form of images, as well as for automating the extraction from images of knowledge and data needed for intelligent decision-making. The basic idea of DA consists of embedding all processes of analysis (processing, recognition, understanding) of images into an image formalization space and reducing it to (1) construction of models/representations/formalized descriptions of images; (2) construction of models/representations/formalized descriptions of transformations over models and representations of images. We briefly discuss the basic ideas, methodological principles, mathematical methods, objects, and components of DA and the basic results determining the current state of the art in the field. Image algebras (IA) are considered in the context of a unified language for describing mathematical objects and operations used in image analysis (the standard IA by Ritter and the descriptive IA by Gurevich).

2018 ◽  
Author(s):  
Jonathan Arias-Fuenzalida ◽  
Javier Jarazo ◽  
Jonas Walter ◽  
Gemma Gomez-Giro ◽  
Julia I. Forster ◽  
...  

AbstractAutophagy and mitophagy play a central role in cellular homeostasis. In pathological conditions, the flow of autophagy and mitophagy can be affected at multiple and distinct steps of the pathways. Unfortunately, the level of detail of current state of the art analyses does not allow detection or dissection of pathway intermediates. Moreover, is conducted in low-throughput manner on bulk cell populations. Defining autophagy and mitophagy pathway intermediates in a high-throughput manner is technologically challenging, and has not been addressed so far. Here, we overcome those limitations and developed a novel high-throughput phenotyping platform with automated high-content image analysis to assess autophagy and mitophagy pathway intermediates.


1995 ◽  
Vol 38 (5) ◽  
pp. 1126-1142 ◽  
Author(s):  
Jeffrey W. Gilger

This paper is an introduction to behavioral genetics for researchers and practioners in language development and disorders. The specific aims are to illustrate some essential concepts and to show how behavioral genetic research can be applied to the language sciences. Past genetic research on language-related traits has tended to focus on simple etiology (i.e., the heritability or familiality of language skills). The current state of the art, however, suggests that great promise lies in addressing more complex questions through behavioral genetic paradigms. In terms of future goals it is suggested that: (a) more behavioral genetic work of all types should be done—including replications and expansions of preliminary studies already in print; (b) work should focus on fine-grained, theory-based phenotypes with research designs that can address complex questions in language development; and (c) work in this area should utilize a variety of samples and methods (e.g., twin and family samples, heritability and segregation analyses, linkage and association tests, etc.).


1976 ◽  
Vol 21 (7) ◽  
pp. 497-498
Author(s):  
STANLEY GRAND

2020 ◽  
Vol 3 (4) ◽  
pp. 292-304
Author(s):  
Inna O. Hordieieva ◽  
Valentina M. Molokanova

The focus of modern project management is increasingly shifting from the management of individual projects to the management of strategic project-oriented development of organizations. Now there is a need to pay more attention to project management as a universal tool for the development of systems at any level. The aim of the article is to study the processes of organization adaptation to constant changes through a synergetic portfolio of projects based on a strategic plan for the development and evolution of the organization. The spiral movement of systems development for studying development processes is considered: the process of transition of an organization from one stable state to another, the process of radical changes that accompanies innovation, as well as the processes of growth and development of crisis phenomena. The methodological principles of the organization evolutionary development management through the implementation of portfolio using its methods and tools are considered. It is proposed to manage the organization evolutionary development by building actions in the form of a synergistic portfolio of appropriate projects content, in order to increase the value of the entire portfolio of projects over the value of individual projects. The synergetic portfolio of projects is seen as a tool for a harmonious transition to the desired evolutionary state, by preserving the internal integrity of the organization and ensuring its sustainability. A mathematical model for estimating the desired properties and relations of the organizational synergetic portfolio of projects is proposed, which allows to determine and minimize the magnitude of the evolutionary goals inconsistency and to stabilize the current state of organization. It is determined that the two main tasks of any organization - external adaptation and internal integration - constantly push the organization to evolutionary development. The article proposes the author's approach to managing the organization evolutionary development through a portfolio of projects identifies indicators of adaptation of the organization to changes in the environment, defines the conditions for maintaining the integrity of the organization in the process of organizational changes.


2020 ◽  
Author(s):  
Karthik Muthineni

The new industrial revolution Industry 4.0, connecting manufacturing process with digital technologies that can communicate, analyze, and use information for intelligent decision making includes Industrial Internet of Things (IIoT) to help manufactures and consumers for efficient controlling and monitoring. This work presents the design and implementation of an IIoT ecosystem for smart factories. The design is based on Siemens Simatic IoT2040, an intelligent industrial gateway that is connected to modbus sensors publishing data onto Network Platform for Internet of Everything (NETPIE). The design demonstrates the capabilities of Simatic IoT2040 by taking Python, Node-Red, and Mosca into account that works simultaneously on the device.


10.37236/24 ◽  
2002 ◽  
Vol 1000 ◽  
Author(s):  
A. Di Bucchianico ◽  
D. Loeb

We survey the mathematical literature on umbral calculus (otherwise known as the calculus of finite differences) from its roots in the 19th century (and earlier) as a set of “magic rules” for lowering and raising indices, through its rebirth in the 1970’s as Rota’s school set it on a firm logical foundation using operator methods, to the current state of the art with numerous generalizations and applications. The survey itself is complemented by a fairly complete bibliography (over 500 references) which we expect to update regularly.


2009 ◽  
Vol 5 (4) ◽  
pp. 359-366 ◽  
Author(s):  
Osvaldo Santos-Filho ◽  
Anton Hopfinger ◽  
Artem Cherkasov ◽  
Ricardo de Alencastro

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