A New Graphical Tool to Detect Non-Normality

1996 ◽  
Vol 58 (4) ◽  
pp. 691-702 ◽  
Author(s):  
Sucharita Ghosh
Keyword(s):  
Graphical Tool

Towards Open Graphical Tool-Building Framework

2011 ◽  
Vol 43 (1) ◽  
pp. 80-87 ◽  
Author(s):  
Edgars Rencis ◽  
Janis Barzdins ◽  
Sergejs Kozlovics
Keyword(s):  
Deep Understanding ◽  
Easy Task ◽  
Domain Specific ◽  
Activity Diagrams ◽  
Graphical Tool ◽  
One Step ◽  
Uml Activity Diagrams ◽  
Definition Of ◽  
Tool Building

Towards Open Graphical Tool-Building Framework Nowadays, there are many frameworks for developing domain-specific tools. However, if we want to create a really sophisticated tool with specific functionality requirements, it is not always an easy task to do. Although tool-building platforms offer some means for extending the tool functionality and accessing it from external applications, it usually requires a deep understanding of various technical implementation details. In this paper we try to go one step closer to a really open graphical tool-building framework that would allow both to change the behavior of the tool and to access the tool from the outside easily. We start by defining a specialization of metamodels which is a great and powerful facility itself. Then we go on and show how this can be applied in the field of graphical domain-specific tool building. The approach is demonstrated on an example of a subset of UML activity diagrams. The benefits of the approach are also clearly indicated. These include a natural and intuitive definition of tools, a strict logic/presentation separation and the openness for extensions as well as for external applications.

DESIGN OF THE VIRTUAL DEVICE FOR THE SIGNAL SPECTRUM CALCULATION IN THE LABVIEW ENVIRONMENT

2019 ◽  
Author(s):  
Tossenko O.M.
Keyword(s):  
Virtual Instrument ◽  
Spectral Characteristics ◽  
Spectral Composition ◽  
Automated System ◽  
Signal Spectrum ◽  
Measuring Instruments ◽  
Specific Information ◽  
Measuring Device ◽  
Virtual Device ◽  
Graphical Tool

The development of measuring instruments requires a specialist to know the principles of operation of advanced measuring systems. This article describes guidelines for creating a virtual appliance in LabVIEW. LabVIEW (Laboratory Virtual Instrument Engineering Workbench) is a graphical application programming environment used as a standard tool for measuring, analyzing their data, further ma­ naging devices and objects under study. LabVIEW language is not like other programming languages. It does not create a program, but a virtual tool, designed not only for the simulation of certain processes, but also for the management of hardware and the study of real physical objects. The article deals with the task of designing application software for a specific information-measuring device, analyzes the capabilities of the LabVIEW environment for spectral analysis of various signals, outlines the basic principles and techniques of programming within the framework of the LabVIEW graphical environment during the basic stages of development. The procedure for creating a virtual device is described, which allows to evaluate the spectral composition of the signals, presents a graphical code of execution (diagram) to the program and a graphical tool interface of the virtual device. A number of basic elements used to develop the program are described. The simplicity of the graphic designs, the ease of installation on the field of the program, the clarity and readability of the program — all of which makes LabVIEW preferred over other languages of programming. In most cases, the experiment is the only source of reliable information. And the result is achieved much faster than the methods of "pure" theory. The article substantiates the effectiveness of using a development tool that allows to obtain a software product and ensure the fulfillment of all the basic functions of an automated system. Developing a software algorithm for calculating statistical parameters will help engineering students understand the order of determining spectral characteristics and their place in the structure of experimental research.

What is the Second LAW?*

2015 ◽  
Vol 137 (2) ◽  
Author(s):  
E. P. Gyftopoulos ◽  
G. P. Beretta
Keyword(s):  
Second Law ◽  
Graphical Tool ◽  
Nonequilibrium States

The thesis of this article is that thermodynamics is a rigorous science, and that the first law and the second law can be stated in an unambiguous and general way so that their implications are concrete and valid for both equilibrium and nonequilibrium states. In this light, we summarize the principles of thermodynamics, and introduce a graphical tool, the energy versus entropy diagram, that is very helpful to explain and grasp the general implications of these principles, especially in the nonequilibrium domain.

ADJUSTING ORDINAL AND CARDINAL INCONSISTENCIES IN DECISION PREFERENCES BASED ON GOWER PLOTS

2006 ◽  
Vol 23 (03) ◽  
pp. 329-346 ◽  
Author(s):  
HAN-LIN LI ◽  
LI-CHING MA
Keyword(s):  
Decision Maker ◽  
Multi Objective ◽  
Pairwise Preference ◽  
Graphical Tool ◽  
Ordinal Consistency ◽  
Preference Matrix ◽  
Objective Program

Gower plots provide a powerful graphical tool to detect cardinal and ordinal inconsistencies in a pairwise preference matrix. However, there is no systematical way to help a decision maker to reduce these inconsistencies. This paper develops a model that can assist in making a consistent decision. Gower plots are used to detect major inconsistencies. A multi-objective program is then formulated to adjust both the cardinal inconsistencies and the preference changes subjected to the constraints of ordinal consistency.

scholarly journals Operational tools to help stakeholders to protect and alert municipalities facing uncertainties and changes in karst flash floods

2015 ◽  
Vol 370 ◽  
pp. 201-208 ◽  
Author(s):  
V. Borrell Estupina ◽  
F. Raynaud ◽  
N. Bourgeois ◽  
L. Kong-A-Siou ◽  
L. Collet ◽  
...  
Keyword(s):  
Land Use ◽  
Real Time ◽  
Land Use Changes ◽  
Extreme Rainfall ◽  
Flash Floods ◽  
Uncertain Information ◽  
Extreme Rainfall Events ◽  
Flood Peak ◽  
Planning Decisions ◽  
Graphical Tool

Abstract. Flash floods are often responsible for many deaths and involve many material damages. Regarding Mediterranean karst aquifers, the complexity of connections, between surface and groundwater, as well as weather non-stationarity patterns, increase difficulties in understanding the basins behaviour and thus warning and protecting people. Furthermore, given the recent changes in land use and extreme rainfall events, knowledge of the past floods is no longer sufficient to manage flood risks. Therefore the worst realistic flood that could occur should be considered. Physical and processes-based hydrological models are considered among the best ways to forecast floods under diverse conditions. However, they rarely match with the stakeholders' needs. In fact, the forecasting services, the municipalities, and the civil security have difficulties in running and interpreting data-consuming models in real-time, above all if data are uncertain or non-existent. To face these social and technical difficulties and help stakeholders, this study develops two operational tools derived from these models. These tools aim at planning real-time decisions given little, changing, and uncertain information available, which are: (i) a hydrological graphical tool (abacus) to estimate flood peak discharge from the karst past state and the forecasted but uncertain intense rainfall; (ii) a GIS-based method (MARE) to estimate the potential flooded pathways and areas, accounting for runoff and karst contributions and considering land use changes. Then, outputs of these tools are confronted to past and recent floods and municipalities observations, and the impacts of uncertainties and changes on planning decisions are discussed. The use of these tools on the recent 2014 events demonstrated their reliability and interest for stakeholders. This study was realized on French Mediterranean basins, in close collaboration with the Flood Forecasting Services (SPC Med-Ouest, SCHAPI, municipalities).

scholarly journals A simple calculation of the maximum dose of the local anesthetic in pediatric dentistry with nomogram in Serbian

2021 ◽  
pp. 22-22
Author(s):  
Rasa Mladenovic
Keyword(s):  
Body Weight ◽  
Local Anesthesia ◽  
Local Anesthetic ◽  
Local Anesthetics ◽  
Maximum Dose ◽  
Simple Calculation ◽  
Pediatric Dentistry ◽  
Special Importance ◽  
Advantages And Disadvantages ◽  
Graphical Tool

Clinicians should identify the risks associated with the use of anesthetics and understand the maximum recommended doses of local anesthetics. Errors in calculating the dose of local anesthetics are common due to the widespread use of these agents. Different methods of calculating the dose of the drug have different advantages and disadvantages, and no method can guarantee a calculation without errors. Nomogram is a simple graphical tool on which one can read the result of arithmetic operations with given numbers. The nomogram for calculating the maximum dose of local anesthetic enables quick cross-checking of the calculation, based on the patient's age or body weight. They are of special importance in the application of local anesthesia in children.

scholarly journals Computational design and optimization of electro-physiological sensors

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Aditya Shekhar Nittala ◽  
Andreas Karrenbauer ◽  
Arshad Khan ◽  
Tobias Kraus ◽  
Jürgen Steimle
Keyword(s):  
Form Factors ◽  
Computational Design ◽  
Quantitative Agreement ◽  
Physiological Data ◽  
High Signal ◽  
Signal Acquisition ◽  
Design And Optimization ◽  
Graphical Tool ◽  
Small Device ◽  
Physiological Sensors

AbstractElectro-physiological sensing devices are becoming increasingly common in diverse applications. However, designing such sensors in compact form factors and for high-quality signal acquisition is a challenging task even for experts, is typically done using heuristics, and requires extensive training. Our work proposes a computational approach for designing multi-modal electro-physiological sensors. By employing an optimization-based approach alongside an integrated predictive model for multiple modalities, compact sensors can be created which offer an optimal trade-off between high signal quality and small device size. The task is assisted by a graphical tool that allows to easily specify design preferences and to visually analyze the generated designs in real-time, enabling designer-in-the-loop optimization. Experimental results show high quantitative agreement between the prediction of the optimizer and experimentally collected physiological data. They demonstrate that generated designs can achieve an optimal balance between the size of the sensor and its signal acquisition capability, outperforming expert generated solutions.

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