On the impact of regular functional dependencies when moving to a possibilistic database framework

2003 ◽  
Vol 140 (1) ◽  
pp. 207-227 ◽  
Author(s):  
Patrick Bosc ◽  
Olivier Pivert
Keyword(s):  
Functional Dependencies ◽  
The Impact ◽  
Regular Functional

scholarly journals Autonomous Energy Matching Control in an LLC Induction Heating Generator

Energies ◽  
2020 ◽  
Vol 13 (8) ◽  
pp. 1860
Author(s):  
Jerzy Zgraja ◽  
Grzegorz Lisowski ◽  
Jacek Kucharski
Keyword(s):  
Induction Heating ◽  
Active Role ◽  
Load Resistance ◽  
Heating Process ◽  
Strong Impact ◽  
Functional Dependencies ◽  
Resonance System ◽  
System Parameters ◽  
Equivalent Load ◽  
The Impact

Induction heating is one of the most effective methods of energy conversion from the electrical to thermal form, used in diverse industrial processes. In this paper the resonance generators for induction heating are considered for which the equivalent load resistance has a strong impact on the ability of the system to use optimally the potentially available power. The equivalent load resistance varies, depending on the type of induction heating system (IHS) and during the heating process itself. This paper presents an induction heat generator in which an L-LC resonance system (called the LLC system) plays an active role in energy matching. The LLC resonance system is analyzed from the point of view of both the functional dependencies describing the influence of frequency on the load resistance transformation, and the impact of the LLC setup on the sensitivity of the generator to changes in the charge resistance caused by heating. The procedure for initial selection of the resonance system parameters is presented. We also consider the possibility of automatic correction by the generator of the LLC system parameters, in order to limit the effect of changes in the IHS parameters on the degree of source–load energy matching. We describe cascade power control algorithms based on the use of Field Programmable Gate Array (FPGA) systems, which enable the optimal control of energy matching. Our study is based on theoretical considerations, numerical simulations, and experimental verification using a 30 kW model.

SEQUENTIAL AND SYSTEMS APPROACHES FOR EVALUATING INVESTMENT DECISIONS—INFLUENCE OF FUNCTIONAL DEPENDENCIES AND INTERACTIONS

2006 ◽  
Vol 46 (1) ◽  
pp. 511
Author(s):  
M.H. Al-Harthy ◽  
A.K. Khurana ◽  
S. Begg ◽  
R.B. Bratvold
Keyword(s):  
Net Present Value ◽  
Systems Approach ◽  
Investment Decisions ◽  
Oil And Gas Industry ◽  
Oil Field ◽  
Functional Dependencies ◽  
Production Schedule ◽  
Systems Approaches ◽  
Facilities Design ◽  
The Impact

Development decision-making practices in the oil and gas industry focus on detailed modelling of every decision parameter—such as reserves, production schedule, facilities design, costs and prices—individually, without due attention to the dependencies and interactions between these parameters. Dependencies and interactions are captured in modelling of uncertainties in some parts of the system (such as reserves and production schedules) but not in others.Modelling uncertainty without modelling dependencies fails to benefit from investing in the values of flexibility and information. Modelling of dependencies and interactions promotes the integration of all the relevant parameters of petroleum projects in a holistic manner.Separate and sequential modelling of individual components of investment decisions limits the ability to examine how changes in one component impact on other components of the system. On the other hand, the systems approach views a development decision as an integrated unit, including components such as reserves, production schedule, facilities design, costs and prices.This paper hypothesises that modelling dependencies and interactions should not be limited to estimating reserves, but should be extended to model the total petroleum system. We believe that there is potential for adding value to petroleum projects by modelling dependencies and interactions in a holistic systems-based stochastic environment.The objective of this paper is to demonstrate the impact of functional dependencies and interactions on the development decision of a hypothetical offshore oil field. Specifically, we show the difference between the treatment of functional dependencies and interactions together with their implications for the sequential and systems approaches using Monte Carlo Simulation (MCS) based stochastic modelling to capture uncertainties.The systems approach captures interactions and dependencies while the sequential approach ignores them. Ignoring interactions leads to under-estimating the mean Net Present Value (NPV) as well as the standard deviation (by 54% and 44% respectively in our example). Furthermore, in our example, the P10, P50 and P90 (NPV’s) are all under-estimated by 20%, 50% and 50% respectively. These results clearly show that proper systematic treatment of dependencies and interactions can have significant impact on petroleum project evaluation.

scholarly journals INFLUENCE OF WORLD COMMODITY PRICES ON THE DYNAMICS OF INCOME OF EXPORTING COUNTRIES OF NATURAL RESOURCES UNDER GLOBALIZATION

2020 ◽  
Vol 21 (1) ◽  
pp. 440-451
Author(s):  
Uliana Nikonenko ◽  
Solomiia Hanushchyn ◽  
Galyna Boikivska ◽  
Yuliia Andriichuk ◽  
Vasyl Kokhan
Keyword(s):  
Economic Growth ◽  
Soviet Union ◽  
Low Income ◽  
Industrial Production ◽  
Former Soviet Union ◽  
Raw Materials ◽  
Commodity Prices ◽  
Functional Dependencies ◽  
Price Indices ◽  
The Impact

A feature of modern globalization processes is their vulnerability to the volatility of short-term capital flows, which, combined with the growing volatility of commodity prices, have created serious difficulties for the economic policies of commodity-oriented countries. Therefore, the study of the impact of world commodity prices on the dynamics of economic growth of countries with commodity exports and the development of an appropriate methodology based on modern economic and mathematical tools is an urgent task. The purpose of the study is the impact of volatility and the level of world commodity prices on income dynamics (GDP and industrial production) using three groups of countries with different levels of economic development as an example. Functional dependencies were studied for three groups of countries: industrial countries exporting raw materials, countries – commodity exporters of low income and commodity countries of the former Soviet Union. The analysis is based on quarterly data for the period 1980–2018 using the Two-Step Least Squares (2SLS) method. We developed a methodology for the economic and statistical analysis of the functional dependencies of the commodity economy, which provides for the simultaneous accounting of the level of world commodity prices and their volatility, allows us to empirically evaluate the mechanisms of the macroeconomic influence of commodity prices on the dynamics of economic growth, primarily income (GDP and industrial production). It has been established that rising world prices for raw materials improves the dynamics of GDP and industrial production of countries exporting primary resources, while the consequences of high volatility of price indices are predominantly negative. If the impact on the economic growth of the exporting countries of raw materials of individual price indices coincides, then the corresponding estimates for volatility can differ significantly.

scholarly journals The Application of Simple Additive Bayesian Allocation Network Process in System Obsolescence

2021 ◽  
Author(s):  
Oluwatomi Adetunji
Keyword(s):  
Bayesian Belief Network ◽  
Design Criteria ◽  
Multi Criteria Decision Making ◽  
Design Phase ◽  
Functional Dependencies ◽  
Trade Off ◽  
Network Process ◽  
The Impact ◽  
Expert Validation

In designing a system, multi-dimensional obsolescence design criteria such as Scheduling; Reliability, Availability, Maintainability; Performance and Functionality; and Costs affect its overall lifespan. This work examines the impacts of these factors on systems during the design phase using a new application called the Simple Additive Bayesian Allocation Network Process (SABANP). The application uses a combination of Multi-Criteria Decision Making (MCDM) methodology and a Bayesian Belief Network to address the impact of obsolescence on a system. Unlike the requirement of weights that are prevalent in the analysis of MCDM, this application does not require weights. Moreover, this application accounts for functional dependencies of criteria, which is not possible with the MCDM methodologies. A case study was conducted using military and civilian experts. Data were collected on systems’ obsolescence criteria and analyzed using the application to make trade-off decisions. The results show that the application can address complex obsolescence decisions that are both quantitative and qualitative. Expert validation showed that SABANP successfully identified the best system for mitigating obsolescence.

scholarly journals Concept and Economic Evaluation of Prescriptive Maintenance Strategies for an Automated Condition Monitoring System

2021 ◽  
Vol 12 (3) ◽  
Author(s):  
Robert Meissner ◽  
Hendrik Meyer ◽  
Kai Wicke
Keyword(s):  
Monitoring System ◽  
Condition Monitoring ◽  
Discrete Event ◽  
Aviation Industry ◽  
Maintenance Cost ◽  
Maintenance Strategy ◽  
Functional Dependencies ◽  
Research Activities ◽  
Condition Monitoring System ◽  
The Impact

In order to reduce operating costs and increase the operational stability, the aviation industry is continuously introducing digital technologies to automate the state detection of their assets and derive maintenance decisions. Thus, many industry efforts and research activities have focused on an early state fault detection and the prediction of system failures. Since research has mainly been limited to the calculation of remaining useful lifetimes (RUL) and has neglected the impact on surrounding processes, changes on the objectives of the involved stakeholders, resulting from these technologies, have hardly been addressed in existing work. However, to comprehensibly evaluate the potential of a fault diagnosis and failure prognosis system, including its effects on adjacent maintenance processes, the condition monitoring system’s maturity level needs to be taken into account, expressed for example through the technology’s automation degree or the prognostic horizon (PH) for reliable failure projections. In this paper, we present key features of an automatic condition monitoring architecture for the example of a Tire Pressure Indication System (TPIS). Furthermore, we develop a prescriptive maintenance strategy by modeling the involved stakeholders of aircraft and line maintenance operations with their functional dependencies. Subsequently, we estimate the expected implications for a small aircraft fleet with the introduction of such a monitoring system with various levels of technological maturity. Additionally, we calculate the maintenance cost savings potential for different measurement strategies and compare these results to the current state-of-the-art maintenance approach. To estimate the effects of implementing an automated condition monitoring system, we use a discrete-event, agentbased simulation setup with an exemplary flight schedule and a simulated time span of 30 calendar days. The obtained results allow a comprehensive estimation of the maintenance related implications on airline operation and provide key aspects in the development of an airline’s prescriptive maintenance strategy.

Semi-Automated Tool Support for Identification and Prioritization of Impacted Functions in Software Systems

2018 ◽  
pp. 168-181
Author(s):  
Chetna Gupta ◽  
Varun Gupta
Keyword(s):  
Impact Analysis ◽  
Maintenance Cost ◽  
Tool Support ◽  
Software Systems ◽  
Functional Dependencies ◽  
Regression Test ◽  
Change Impact ◽  
Software Engineers ◽  
The Impact ◽  
Automated Tool

Change is an integral part of any software system. Predicting the impact of making changes through techniques of change impact analysis helps engineers identify and analyze those parts of the system that will be potentially affected by requested change(s). This chapter presents a semi-automated approach to (a) compute likelihood of impacted functions in a system through identification and analysis of functional dependencies between them and (b) assist software engineers in selective regression testing. This technique first classifies the impact set data into two categories based on their type of impact propagation. Next it performs prioritization on classified data to rank functions into higher and lower levels according to the degree of impact they will make. This prediction will help in lowering maintenance cost and effort of software engineers. Thus, a software engineer can first run those test cases which cover segments with higher impacted priority to minimize regression test selection.

Mining Rare Association Rules by Discovering Quasi-Functional Dependencies

2010 ◽  
pp. 131-149
Author(s):  
Giulia Bruno ◽  
Paolo Garza ◽  
Elisa Quintarelli
Keyword(s):  
Data Mining ◽  
Association Rules ◽  
Incremental Algorithm ◽  
Functional Dependencies ◽  
Data Mining Technique ◽  
Data Set ◽  
Rare Association ◽  
Normal Behavior ◽  
The Impact ◽  
Over Time

In the context of anomaly detection, the data mining technique of extracting association rules can be used to identify rare rules which represent infrequent situations. A method to detect rare rules is to first infer the normal behavior of objects in the form of quasi-functional dependencies (i.e. functional dependencies that frequently hold), and then analyzing rare violations with respect to them. The quasi-functional dependencies are usually inferred from the current instance of a database. However, in several applications, the database is not static, but new data are added or deleted continuously. Thus, the anomalies have to be updated because they change over time. In this chapter, we propose an incremental algorithm to efficiently maintain up-to-date rules (i.e., functional and quasi-functional dependencies). The impact of the cardinality of the data set and the number of new tuples on the execution time is evaluated through a set of experiments on synthetic and real databases, whose results are here reported.

scholarly journals INTERNATIONAL MIGRATION AND ITS IMPACT ON THE SOCIAL PROGRESS OF COUNTRIES

2021 ◽  
pp. 160-169
Author(s):  
Denis Pudryk ◽  
Oleksii Kwilinski ◽  
Tatjana Vasylyna
Keyword(s):  
Social Development ◽  
International Migration ◽  
National Economy ◽  
Rapid Growth ◽  
Well Being ◽  
Social Progress ◽  
Functional Dependencies ◽  
The Social ◽  
The Impact ◽  
The Eu

Introduction. The social development of the national economy is in the focus of society, politicians and researchers. The main reason for considering this topic is to increase the rank of social progress of countries related to globalization and the rapid growth of international migration. The rapid growth of private relocations of Ukrainian citizens from abroad, on the one hand, leads to increased incomes, poverty reduction, improved health care, education and economic development of the country. On the other – reduced labour supply, the outflow of highly qualified personnel, increasing inequality, reduction of tax revenues on social insurance leads to restraint of economic and social development of the national economy. The aim of the study is to determine the impact of migration processes on the social progress in Ukraine. Research methods. To achieve this goal, the authors propose methodological tools for assessing the integrated index of social progress, based on the entropy method of determining the weights of social progress indicators (“Education, Science and Culture”, “Health”, “Environment”, “Life and well-being”, “Freedom and equality”). A model of functional dependencies for estimating the impact of migration processes on the level of social progress of the national economy is proposed. Results. It is established that according to the social progress index Ukraine differs significantly from the EU benchmark countries (Poland, Hungary, Czech Republic, Slovakia) for 2000-2020. Achieving the average level of social progress of the EU, provided only after 15 years. The statistically significant influence of migration processes on the country’s social progress is determined. The increase of private remittances from abroad leads to an increase in the social progress by 0,25% and the migration growth of the country’s population by 0,026%. The coefficient of determination of the models is 67,5% and 16,4%. Perspectives. The low level of the determination coefficient for the model with migratory population growth raises the question of further research of additional explanatory factors of the migration processes impact on social progress, in particular: skills, gender, education, national identity and more.

Formation of Lunar Craters and Bright Rays as a Result of Meteorite Impacts

1962 ◽  
Vol 14 ◽  
pp. 415-418
Author(s):  
K. P. Stanyukovich ◽  
V. A. Bronshten
Keyword(s):  
Explosive Charge ◽  
The Moon ◽  
Meteorite Impacts ◽  
The Earth ◽  
Lunar Craters ◽  
The Impact

The phenomena accompanying the impact of large meteorites on the surface of the Moon or of the Earth can be examined on the basis of the theory of explosive phenomena if we assume that, instead of an exploding meteorite moving inside the rock, we have an explosive charge (equivalent in energy), situated at a certain distance under the surface.

The Geosciences Applied to Lunar Exploration

1962 ◽  
Vol 14 ◽  
pp. 169-257 ◽  
Author(s):  
J. Green
Keyword(s):  
Lunar Surface ◽  
Probable Mechanism ◽  
Point Of View ◽  
Lunar Exploration ◽  
Geological Model ◽  
Apply Geophysics ◽  
Surface Features ◽  
The Impact

The term geo-sciences has been used here to include the disciplines geology, geophysics and geochemistry. However, in order to apply geophysics and geochemistry effectively one must begin with a geological model. Therefore, the science of geology should be used as the basis for lunar exploration. From an astronomical point of view, a lunar terrain heavily impacted with meteors appears the more reasonable; although from a geological standpoint, volcanism seems the more probable mechanism. A surface liberally marked with volcanic features has been advocated by such geologists as Bülow, Dana, Suess, von Wolff, Shaler, Spurr, and Kuno. In this paper, both the impact and volcanic hypotheses are considered in the application of the geo-sciences to manned lunar exploration. However, more emphasis is placed on the volcanic, or more correctly the defluidization, hypothesis to account for lunar surface features.

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