scholarly journals ALGORITHM FOR ESTIMATION OF ELECTROPHYSICAL PARAMETERS OF THE SURFACE BY ITS OWN MICROWAVE RADIATION

2019 ◽  
pp. 55-61
Author(s):  
Alexander Dmitrievich Abramov ◽  
Andrei Vyktorovych Krupka ◽  
Valentin Igorevich Nosko ◽  
Anton Dmitrievich Sobkolov
Keyword(s):  
Decision Making ◽  
Statistical Modeling ◽  
Practical Implementation ◽  
Physical Parameters ◽  
Noise Power ◽  
Significance Level ◽  
Fresnel Reflection Coefficient ◽  
Observation Matrix ◽  
Decision Making Rule ◽  
Radiometric Equipment

Reliable estimation of the electro physical parameters of surfaces using radiometric equipment is an actual area of remote environmental monitoring. The disadvantage of the procedures developed today for assessing the indicated properties of surfaces according to their own thermal radiation, prevents their practical use.In the framework of the statistical theory of detection-measurement based on the results of processing radiometric signals during multichannel reception, an identification method is developed and a decision-making rule were synthesized in favor of any of the hypotheses put forward about the values of the parameters of the observed surface.The methodology for solving the problem and the inherited identification rule meet the criterion of maximum likelihood. A distinctive feature of the synthesized decision-making rule: critical statistics based on the eigenvalues of the covariance observation matrix under multichannel reception conditions. The implementation uses standard computing operations.Moreover, a distribution density of critical statistics obtained because tabulated solving the problem. This circumstance makes it possible to set the required value of the significance level “apriori”, therefore, the value of the comparison threshold.Certification of the synthesized test is the rules for deciding in favor of the hypothesis about a given value of the components of the Fresnel reflection coefficient. It was carried out at the level of digital statistical modeling. The significance level was set equal to 0.05 and 0.1. Based on the simulation results, there were analyzed the dependence of the number of correct decisions (the fulfillment of the corresponding hypothesis) on the signal-to-noise power ratio for a given angular parameter of the signal.The performance characteristics obtained at the level of digital statistical modeling of the developed test confirmed, firstly, the conclusions of theoretical studies. Secondly, they give specialists in the field of development of radiometric systems the opportunity to evaluate both the effectiveness of synthesized tests at various numerical values of the probability of an error of the first kind and the complexity of their practical implementation.

scholarly journals ОЦЕНКА ЧИСЛА ДЕЙСТВИТЕЛЬНЫХ ГАРМОНИЧЕСКИХ КОМПОНЕНТ НАБЛЮДЕНИЙ ПО ОГРАНИЧЕННОМУ ИНТЕРВАЛУ ВРЕМЕНИ

2018 ◽  
pp. 67-73
Author(s):  
Александр Дмитриевич Абрамов ◽  
Юлия Владимировна Съедина ◽  
Татьяна Игоревна Москаленко ◽  
Юйин Чжан
Keyword(s):  
Decision Making ◽  
Gaussian Noise ◽  
Correlation Matrix ◽  
Second Harmonic ◽  
Operating Conditions ◽  
Significance Level ◽  
The Real ◽  
Real Process ◽  
Harmonic Components ◽  
Decision Making Rule

The first stage of providing selectivity of devices for analyzing the spectrum of polyharmonic signals observed against the background of parametrically uncertain Gaussian noise is considered: detection, measurement of the number of discrete components of the spectrum of the real process. Model representations and requirements formulated in the set part of the problem to be solved correspond to the concepts and problems of the current state of diagnostic practice, which is associated with the study of the characteristics of vibration processes of various units. In particular, information on the number and levels of harmonics in operating conditions is a sign of defects in the work and the degree of their development. In the framework of the statistical theory of many alternative solutions using the criterion of the likelihood ratio proposed method for solving the problem of detection and estimating the number of harmonic components of the spectrum of a time-limited real process. On the basis of the developed methodology, the rule of making decisions with a given degree of reliability in favor of any of the hypotheses put forward about the number of harmonic components of the spectrum of the real signal observed against the background of parametrically uncertain Gaussian noise is synthesized. It is proved that in the considered model representations in solving this type of statistical problems it is advisable to focus on the analysis in the interference subspace of the correlation matrix of observations. A distinctive feature of the synthesized decision-making rule: meets the methodology of maximum likelihood, critical statistics is formed on the basis of the characteristic value of the correlation matrix of observation, standard computational operations are applied for implementation. The distribution density of critical statistics is tabulated. This makes it possible to "a priori" to set the required value of the significance level. Certification of the synthesized test-decision-making rules in favor of the proposed hypothesis about the prevailing number of harmonic components in the spectrum of the process is carried out at the level of digital statistical modeling. As the initial data were given: q – the value of the significance level (0.05; 01); P – noise power; the number of harmonic components N=2. In experimental studies, the amplitude of the second harmonic varied from 0 to the amplitude of the first harmonic. The results of the modeling analysis of the relationship between the number of correct decisions (made hypotheses) from changes power the second harmonic at a given ratio of signal/noise. The obtained performance characteristics of the algorithm confirmed the theoretical conclusions of the research.

An investigation of book reading habits levels and correct decision-making styles in terms of some variables: A research on coach and referees

2020 ◽  
Vol 8 (4) ◽  
pp. 849-865
Author(s):  
Mihriay Musa ◽  
Keyword(s):  
Decision Making ◽  
Quantitative Research ◽  
Simple Random Sampling ◽  
T Test ◽  
Book Reading ◽  
Correct Decision ◽  
Reading Habits ◽  
Significance Level ◽  
Decision Making Styles ◽  
The Universe

In this study, it was aimed to examine the reading habits levels and making the correct decision styles of basketball, handball, volleyball, and football coaches and referees in terms of some variables, the research was carried out with the general survey model, one of the quantitative research designs, the active coaches and referees of basketball, football, volleyball, and handball in İzmir, Denizli and Uşak provinces constituted the universe of the study, the sample of the study, on the other hand, consisted of 98 participants, 52 of whom were coaches and 46 were referees, determined by the simple random sampling method, one sample t-test at a 0.05 significance level was conducted to determine whether the sample represented the universe equally and homogeneously. Melbourne decision making scale I-II, and book reading habits scale were used to collect data in the study. Since the data are suitable for normal distribution, the t-test in comparing the pairwise means; parametric tests such as one-way ANOVA tests were used at 0.05 significance level in comparing the mean scores of more than two groups. In terms of education levels, it has been observed that female coaches and referees studying at faculties of sports sciences have higher levels of reading habit, love of reading, and being influenced by books. In addition, it was determined that individuals who trust and respect the decisions of their families have higher reading habits and correct decision-making styles and do not panic during the decision-making process.

Communicative Transformation of Professional Values of Modern Scientific Communities

Communicology ◽  
2020 ◽  
Vol 8 (2) ◽  
pp. 15-24
Author(s):  
A.S. Proskurina
Keyword(s):  
Decision Making ◽  
Professional Ethics ◽  
Scientific Work ◽  
Professional Values ◽  
The Internet ◽  
Practical Implementation ◽  
Scientific Communities ◽  
Neoliberal Reforms ◽  
Communication Practices ◽  
The Relationship

Today ethics is embodied not only in day-to-day life, but also in the communication that surrounds it. The study of communication in professional communities makes it possible to determine the relationship between declared and practically embodied values in work. Ethical attitudes are not only postulates embedded in ethical codes, but also principles of interaction embodied in the construction of the information space and decision-making. Features of modern communications influence the way professional ethics is structured, which, in turn, affects its content and practical implementation. The communication through the Internet makes scientific work performative, filling it with symbols and labels. Increasingly, communication practices have to be carried out around indicators, and thus communication becomes a conductor of neoliberal reforms in scientific work. Therefore, the consequence of modern forms of communication is the forced utilitarianism of ethics associated with the need to compete in the “scientific market”. The article suggests possible ways to overcome the contradictions of communicative transformations of professional values.

scholarly journals Legal and Technical Feasibility of the GDPR’s Quest for Explanation of Algorithmic Decisions: of Black Boxes, White Boxes and Fata Morganas

2020 ◽  
Vol 11 (1) ◽  
pp. 18-50 ◽  
Author(s):  
Maja BRKAN ◽  
Grégory BONNET
Keyword(s):  
Decision Making ◽  
Interdisciplinary Approach ◽  
Practical Implementation ◽  
General Data Protection Regulation ◽  
Legal Limits ◽  
Black Boxes ◽  
General Data ◽  
The Subject ◽  
The Right ◽  
Automated Decision Making

Understanding of the causes and correlations for algorithmic decisions is currently one of the major challenges of computer science, addressed under an umbrella term “explainable AI (XAI)”. Being able to explain an AI-based system may help to make algorithmic decisions more satisfying and acceptable, to better control and update AI-based systems in case of failure, to build more accurate models, and to discover new knowledge directly or indirectly. On the legal side, the question whether the General Data Protection Regulation (GDPR) provides data subjects with the right to explanation in case of automated decision-making has equally been the subject of a heated doctrinal debate. While arguing that the right to explanation in the GDPR should be a result of interpretative analysis of several GDPR provisions jointly, the authors move this debate forward by discussing the technical and legal feasibility of the explanation of algorithmic decisions. Legal limits, in particular the secrecy of algorithms, as well as technical obstacles could potentially obstruct the practical implementation of this right. By adopting an interdisciplinary approach, the authors explore not only whether it is possible to translate the EU legal requirements for an explanation into the actual machine learning decision-making, but also whether those limitations can shape the way the legal right is used in practice.

scholarly journals Hybrid Verification Technique for Decision-Making of Self-Driving Vehicles

2021 ◽  
Vol 10 (3) ◽  
pp. 42
Author(s):  
Mohammed Al-Nuaimi ◽  
Sapto Wibowo ◽  
Hongyang Qu ◽  
Jonathan Aitken ◽  
Sandor Veres
Keyword(s):  
Decision Making ◽  
Autonomous Vehicle ◽  
Autonomous Driving ◽  
Practical Implementation ◽  
Model Checker ◽  
Multi Agent Systems ◽  
Time Operation ◽  
Bdi Agent ◽  
Perception System ◽  
Probability Of Success

The evolution of driving technology has recently progressed from active safety features and ADAS systems to fully sensor-guided autonomous driving. Bringing such a vehicle to market requires not only simulation and testing but formal verification to account for all possible traffic scenarios. A new verification approach, which combines the use of two well-known model checkers: model checker for multi-agent systems (MCMAS) and probabilistic model checker (PRISM), is presented for this purpose. The overall structure of our autonomous vehicle (AV) system consists of: (1) A perception system of sensors that feeds data into (2) a rational agent (RA) based on a belief–desire–intention (BDI) architecture, which uses a model of the environment and is connected to the RA for verification of decision-making, and (3) a feedback control systems for following a self-planned path. MCMAS is used to check the consistency and stability of the BDI agent logic during design-time. PRISM is used to provide the RA with the probability of success while it decides to take action during run-time operation. This allows the RA to select movements of the highest probability of success from several generated alternatives. This framework has been tested on a new AV software platform built using the robot operating system (ROS) and virtual reality (VR) Gazebo Simulator. It also includes a parking lot scenario to test the feasibility of this approach in a realistic environment. A practical implementation of the AV system was also carried out on the experimental testbed.

Eupsychian Versus Authoritarian Leadership: Existential–Humanistic Underpinnings and Empirical Support

2021 ◽  
pp. 002216782110106
Author(s):  
Andrew M. Bland ◽  
Brett A. Swords
Keyword(s):  
Decision Making ◽  
Qualitative Study ◽  
Perspective Taking ◽  
Empirical Support ◽  
Self Determination ◽  
Practical Implementation ◽  
Applied Psychology ◽  
Authoritarian Leadership ◽  
Cultural Conditions ◽  
Psychology Literature

This article surveys Maslow’s views on eupsychian leadership and how his vision of eupsychia may be regarded as a contemporary expression of the Greek philosophical notion of the Good. This involves actively and ongoingly cultivating cultural conditions that promote awe-based creative living in accordance with human nature, authentic freedom, and social justice in the interest of developing character via self-determination. Then we outline essential qualities of Maslow’s notion of eupsychia as they have been empirically validated by Rego et al.’s qualitative study of the characteristics and outcomes of eupsychian (humanistic) versus antieupsychian (authoritarian) leadership. The findings thereof also provide a heuristic framework for integrating the results of numerous quantitatively-based research studies in recent international applied psychology literature. This applied leadership literature both (a) satisfies Maslow’s call for empirical research to guide perspective-taking and decision-making when considering the possible practical implementation of a eupsychian society and (b) provides empirical support for his dynamic systemic and synergistic theorizing on leadership.

scholarly journals Punching above Weight: How the African Union Commission Exercises Agency in Politics

2021 ◽  
pp. 000203972199039
Author(s):  
Thomas Kwasi Tieku
Keyword(s):  
Decision Making ◽  
Agenda Setting ◽  
Policy Development ◽  
International System ◽  
African Union ◽  
African Continent ◽  
International Organisations ◽  
The World ◽  
International Issues ◽  
Decision Making Rule

Conventional narratives suggest that the African Union Commission (AUC), like most international public administrations and international organisations (IOs) housed in the less materially endowed regions of the world, exercises no meaningful agency on international issues. This article however seeks to show that the AUC is neither a glorified messenger and docile follower of orders of governments nor is it an empty vessel that timidly goes where the wind of governments blows. Rather, the AUC exercises significant agency on issues that affect not just the African continent but also the broader international system. The AUC is often at the heart of international agenda-setting, norm development, decision-making, rule creation, policy development, and it sometimes offer strategic leadership. The article demonstrates six pathways through which the AUC acts like a tail wagging a dog.

scholarly journals Facilitating spatially-explicit assessments of ecosystem service delivery to support land use planning

One Ecosystem ◽  
2020 ◽  
Vol 5 ◽  
Author(s):  
Dirk Vrebos ◽  
Jan Staes ◽  
Steven Broekx ◽  
Leo de Nocker ◽  
Karen Gabriels ◽  
...  
Keyword(s):  
Decision Making ◽  
Land Use ◽  
Ecosystem Services ◽  
Ecosystem Service ◽  
Assessment Tools ◽  
Spatially Explicit ◽  
Practical Implementation ◽  
Time Investment ◽  
Wide Range ◽  
The Impact

Since the early 2000s, there have been substantial efforts to transform the concept of ecosystem services into practice. Spatial assessment tools are being developed to evaluate the impact of spatial planning on a wide range of ecosystem services. However, the actual implementation in decision-making remains limited. To improve implementation, tools that are tailored to local conditions can provide accurate, meaningful information. Instead of a generic and widely-applicable tool, we developed a regional, spatially-explicit tool (ECOPLAN-SE) to analyse the impact of changes in land use on the delivery of 18 ecosystem services in Flanders (Belgium). The tool incorporates ecosystem services relevant to policy-makers and managers and makes use of detailed local data and knowledge. By providing an easy-to-use tool, including the required spatial geodatasets, time investment and the learning curve remain limited for the user. With this tool, constraints to implement ecosystem service assessments in local decision-making are drastically reduced. We believe that region-specific decision support systems, like ECOPLAN-SE, are indispensable intermediates between the conceptual ecosystem service frameworks and the practical implementation in planning processes.

Data Analysis in Context-Based Statistical Modeling in Predictive Analytics

2021 ◽  
pp. 96-114
Author(s):  
Selvan C. ◽  
S. R. Balasundaram
Keyword(s):  
Decision Making ◽  
Data Analysis ◽  
Statistical Modeling ◽  
Negative Correlation ◽  
Predictive Analytics ◽  
Mathematical Representation ◽  
Statistical Techniques ◽  
Key Factors ◽  
Dependent Variables ◽  
Future Outcomes

Data analysis is a process of studying, removing non-required data in the view level, and converting to needed patterns for sub decisions to make an aggregated decision. Statistical modeling is the process of applying statistical techniques in data analysis for taking proactive decisions depend requirements. The statistical modeling identifies relationship between variables, and it encompasses inferential statistics for model validation. The focus of the chapter is to analyze statistical modeling techniques in different contexts to understand the mathematical representation of data. The correlation and regression are used for analyzing association between key factors of companies' activities. Especially in business, correlation describes positive and negative correlation variables for analyzing the factors of business for supporting the decision-making process. The key factors are related with independent variables and dependent variables, which create cause and effect models to predict the future outcomes.

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