scholarly journals WEIGHTLESS PROCESSING OF QUANTIZED SIGNAL LOAD

T-Comm ◽  
2021 ◽  
Vol 15 (1) ◽  
pp. 48-51
Author(s):  
Vladimir I. Filatov ◽  
◽  
Alexander S. Nekrasov ◽  
Irina A. Rudzit ◽  
Daria A. Kondrashova ◽  
...  
Keyword(s):  
Signal Processing ◽  
Information Processing ◽  
Detection Problem ◽  
Quality Of Information ◽  
Input Information ◽  
Information Signal ◽  
Hardware Complications ◽  
Unit Density ◽  
Required Quality

Optimal methods for processing input information signals often involve operations, implementation of which is extremely difficult and significantly increases the requirements for automated information processing systems. However, the use of various approaches to solving this problem has led to the appearance of synthesized methods for processing a sequence of signals that allow solving the detection problem with the required quality without significant hardware complications. The article considers a method for weightless processing packets of input quantized signals, which allows us to evaluate the potential (limit) quality of information processing and quantify the amount of loss of this quality when excluding certain operations. The considered method is given with a reasonable structure of implemented devices in practice. A special feature of weightless signal processing is analysis of increasing unit density in a fixed interval of close positions, which gives information about the possible presence of an information signal. To identify this factor, two logical criteria are used, such as “m out of m” and “n out of m”, which will be described in this article.

scholarly journals The Limitations of Decision-Making

Information ◽  
2020 ◽  
Vol 11 (12) ◽  
pp. 559
Author(s):  
Paul Walton
Keyword(s):  
Decision Making ◽  
Information Processing ◽  
Theoretical Basis ◽  
Quality Of Information ◽  
Collaborative Activity ◽  
Good Decision ◽  
Trade Offs ◽  
Evolution Characteristics ◽  
Required Quality

In a world faced with technological, health and environmental change and uncertainty, decision-making is challenging. In addition, decision-making itself is becoming a collaborative activity between people and artificial intelligence. This paper analyses decision-making as a form of information processing, using the ideas of information evolution. Information evolution studies the effect of selection pressures and change on information processing and the consequent limitations of that processing. The analysis identifies underlying information evolution factors that affect the quality of information used throughout decision-making and, hence, affect the quality of decisions. These factors imply a set of challenges in which the pressures that drive useful trade-offs in a static environment also hinder decision-making of the required quality in times of change. The analysis indicates the information evolution characteristics of a good decision-making approach and establishes the theoretical basis for tools to demonstrate the information evolution limitations of decision-making.

scholarly journals Signal Processing from the First Exploration of Big Data Horizon

2020 ◽  
Vol 2 (2) ◽  
pp. 30
Author(s):  
Jin Shi
Keyword(s):  
Signal Processing ◽  
Big Data ◽  
Information Processing ◽  
Information Fusion ◽  
Future Development ◽  
Development Trend ◽  
Processing Technology ◽  
Quality Of Information ◽  
The Future

<p>Under the background of the popularization and application of computers in various fields, the amount of diversified data has been greatly increased, which also means that the era of big data is gradually coming. At the same time, various signal equipment and sensor equipment are widely used in various fields. People from the perspective of big data expect to collect, analyze and process the signal data by means of big data. However, due to the diversity of signal data and the huge and complex amount of data, the future development trend of signal from the perspective of big data is the information fusion of signal data. Therefore, it is necessary to explore signal processing from the perspective of big data. With the application of signal processing technology, the efficiency and quality of information processing can be improved gradually.</p>

A Regional Health Care Network: eHealth.Braunschweig

2012 ◽  
Vol 51 (03) ◽  
pp. 199-209 ◽  
Author(s):  
T. Bartkiewicz ◽  
W. Bautsch ◽  
A. Gerlach ◽  
M. Goldapp ◽  
R. Haux ◽  
...  
Keyword(s):  
Health Care ◽  
Information Processing ◽  
Regional Health ◽  
Quality Of Information ◽  
Care Network ◽  
Healthcare Network ◽  
Regional Health Care ◽  
Quality Of Patient Care ◽  
Health Care Network

SummaryBackground: Health care network eHealth.Braunschweig has been started in the South-East region of Lower Saxony in Germany in 2009. It composes major health care players, participants from research institutions and important local industry partners.Objectives: The objective of this paper is firstly to describe the relevant regional characteristics and distinctions of the eHealth.Braunschweig health care network and to inform about the goals and structure of eHealth.Braunschweig; secondly to picture and discuss the main concepts and domain fields which are addressed in the health care network; and finally to discuss the architectural challenges of eHealth.Braunschweig regarding the addressed domain fields and defined requirements.Methods: Based on respective literature and former conducted projects we discuss the project structure and goals of eHealth.Braunschweig, depict major domain fields and requirements gained in workshops with participants and discuss the architectural challenges as well as the architectural approach of eHealth.Braunschweig network.Results: The regional healthcare network eHealth.Braunschweig has been established in April 2009. Since then the network has grown constantly and a sufficient progress in network activities has been achieved. The main domain fields have been specified in different workshops with network participants and an architectural realization approach for the transinstitutional information system architecture in the healthcare network has been developed. However, the effects on quality of information processing and quality of patient care have not been proved yet. Systematic evaluation studies have to be done in future in order to investigate the impact of information and communication technology on the quality of information processing and the quality of patient care.Conclusions: In general, the aspects described in this paper are expected to contribute to a systematic approach for the establishment of regional health care networks with lasting and sustainable effects on patient-centered health care in a regional context.

Do Eye Movements Have a Special Importance to Mental Activity?

1981 ◽  
Vol 53 (2) ◽  
pp. 671-678 ◽  
Author(s):  
Barbara A. Rosenberg
Keyword(s):  
Information Processing ◽  
Eye Movements ◽  
Cognitive Functioning ◽  
Mental Activity ◽  
Special Importance ◽  
Mental Processes ◽  
Quality Of Information ◽  
Peripheral Motor ◽  
The Brain

Several areas of research are reviewed in which associations between eye movements and the nature of mental processes have been attributed to hypothesized third factors. It is suggested that a simpler hypothesis—that eye movements are related in some fundamental manner to cognitive functioning—deserves consideration. A metaphor is presented to show that the quality of information processing need not exclusively reflect processes deep inside the brain but could also be affected by peripheral motor mechanisms.

scholarly journals Indicators of mental health of pre-school children in Irkutsk amid the wide introduction of information technologies

2013 ◽  
Vol 94 (6) ◽  
pp. 864-866 ◽  
Author(s):  
E A Tkachuk
Keyword(s):  
Information Processing ◽  
School Children ◽  
Information Technologies ◽  
Age Groups ◽  
Mental Activity ◽  
Quality Of Information ◽  
Speed Of Information Processing ◽  
Central District ◽  
Childcare Center

Aim. To assess the mental activity of pre-school children amid the wide introduction of information technologies. Methods. 176 children aged from 5.5 to 6.5 years were observed at the institution of pre-school education of Irkutsk central district from 1998 to 2012. Two groups were formed: the first group included 101 child who attended childcare center in 1998, the second group - 76 children who attended childcare center in 2012. Age groups of pre-school children were formed according to their age (from 5 years 5 months 30 days of age to 6 years 5 months 30 days of age). The mental activity was assessed using the figure tables by V.Y. Anfilov assessing the number of made mistakes and number of lines run through. Every missed line was equal to one mistake made. The productivity coefficient Q was calculated as Q=c2/c+d, where с - the number of lines run through; d - the number of mistakes (mistakes were not standardized). Results. The parameters of productivity did not change significantly in 2012 compared to 1998. The number of lines run through at Anfilov’s test increased by 1.8 times (р 0.05) in children of the second group (examined in 2012), the number of mistakes made increased by 7.5 times (р 0.05). Among the girls of the second group, the number of lines run through increased by 1.6 times (р 0.05), the number of mistakes made increased by 6.3 times (р 0.05). The trend was clearer in boys, in whom the number of lines run through increased by 2.0 times (р 0.05), the number of mistakes made increased by 8.3 times (р 0.05). Conclusion. The speed of information processing has increased, and the quality of information processing has dropped in contemporary pre-school children. The overall productivity did not change.

HIS-Monitor: An approach to assess the quality of information processing in hospitals

2007 ◽  
Vol 76 (2-3) ◽  
pp. 216-225 ◽  
Author(s):  
Elske Ammenwerth ◽  
Frauke Ehlers ◽  
Bernhard Hirsch ◽  
Gordon Gratl
Keyword(s):  
Information Processing ◽  
Quality Of Information

scholarly journals Information Quality, Its Dimension and the Basic Criteria for Assessing Information Quality

2012 ◽  
Vol 20 (Special-Number) ◽  
pp. 86-93
Author(s):  
Jana alá ◽  
Ľubica Černá
Keyword(s):  
Information Quality ◽  
Poor Quality ◽  
Quality Information ◽  
Information Control ◽  
Effective Management ◽  
Quality Of Information ◽  
Team Members ◽  
Control Information ◽  
Required Quality

Abstract Poor quality of information in modern organizations depends on many aspects. As such the size and nature of the information, human factors, organizational culture, experience and skills as a manager and other team members, technology, but also the quality of inputs including, but not least, include data quality. Applying methodology of quality control help organizations create effective management of its information. The method of quality information control depends on all those aspects. The importance of the organization should be given to dispose of an optimum amount of information in the required quality and especially to share this information. Quality information is the key to the success of the project management, but also in many other areas. Understanding the mechanics of control information management and class is essential, but it is experience that distinguishes successful information quality managers.

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