Task Taxonomies and Modeling for System Performance Prediction

1980 ◽  
Vol 24 (1) ◽  
pp. 425-429 ◽  
Author(s):  
Gayle Lynn Berry

The problem of predicting performance of complex human machine systems is a very difficult one. The use of task-oriented simulation models makes this problem more tractable, but by no means converts it to a trivial exercise. The difficulty of determining an appropriate abstract model from analysis of the actual human machine system remains. An approach is suggested for developing a systematic method of analyzing human machine systems and for formulating a task-oriented model from the analysis results. The role of task taxonomies in systematic analysis is discussed.

1983 ◽  
Vol 27 (12) ◽  
pp. 1006-1006
Author(s):  
R. A. Miller

Both man-in-the-loop and computer simulations have become relatively mature technologies and are used quite extensively in human-machine systems analysis and design. As simulation becomes more mature and its application more routinized, the fundamental assumptions, both substantive and methodological, upon which simulations rest are sometimes neglected or forgotten. As a consequence some applications of simulation may be less than optimum and there may be some uncertainty surrounding the role which simulation can and should play in the human-machine systems domain. In this paper several types of simulations are classified according to the characteristics of the modelling performed and the representations used. These classes are briefly analyzed to establish some of the ontological and epistemological assumptions required in each class. The assumptions are then compared against the reasons and objectives usually cited for using simulation in human-machine systems work. This comparison provides useful insights into the role of simulation and enables some suggestions for needed work on modelling and theories of human-machine system performance.


Electronics ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 665
Author(s):  
Michael J. Hall ◽  
Neil E. Olson ◽  
Roger D. Chamberlain

Recent trends in computer architecture have increased the role of dedicated hardware logic as an effective approach to computation. Virtualization of logic computations (i.e., by sharing a fixed function) provides a means to effectively utilize hardware resources by context switching the logic to support multiple data streams of computation. Multiple applications or users can take advantage of this by using the virtualized computation in an accelerator as a computational service, such as in a software as a service (SaaS) model over a network. In this paper, we analyze the performance of virtualized hardware logic and develop M/G/1 queueing model equations and simulation models to predict system performance. We predict system performance using the queueing model and tune a schedule for optimal performance. We observe that high variance and high load give high mean latency. The simulation models validate the queueing model, predict queue occupancy, show that a Poisson input process distribution (assumed in the queueing model) is reasonable for low load, and expand the set of scheduling algorithms considered.


2013 ◽  
Vol 837 ◽  
pp. 663-668 ◽  
Author(s):  
Bożena Skołud

The background of the paper is the observation of the market tendency and producer constraints which lead to lean production/manufacturing and management. Presented approaches and solutions are the result of the author and her team and integrates three different original systems such as PROEDIMIS, SWZ and KbRS. A number of analytical and simulation models dealing with the problem of system performance prediction and verification, fail when addressing the issue of performance evaluation of a whole system where performance depends on the synchronization of their interactions. From the control perspective it is more appropriate to define a specification for some new desired behavior, and determine whether the specification can be met through a set of controllable events [1,. A problem of multiassortment and multi-version production planning and control is presented and the method and support systems are described in the paper.


2020 ◽  
pp. 97-110
Author(s):  
E. N. Mikhailova ◽  
V. A. Telegina

The article is devoted to the study of evaluative tools used in modern French media in order to form the media image of a representative of the political elite. The techniques used in the creation of a memorial media portrait of Jacques Chirac (1932—2019), President of France from 1995 to 2007 are considered. The research material was the most prestigious French print media of various political orientations, published in late September — early October 2019 in connection with the death of the ex-President of the French Republic. The relevance of the research topic is dictated by the close attention of modern linguistics to axiological phenomena, differently presented in different types of discursive practices. The novelty of the study is due to the appeal to the analysis of the complex of evaluation tools used in the French print media when characterizing the former leader of the state during the nation’s farewell period. The estimated potential of the title of the article and its influence on the formation of the estimated vector of the entire text of the publication are shown. A systematic analysis of the assessment expression means, reflected in the memorial media portrait of the politician, is given. The factors that influenced the peculiarities of their use in this type of media portrait are revealed.


Author(s):  
Dane A. Morey ◽  
Jesse M. Marquisee ◽  
Ryan C. Gifford ◽  
Morgan C. Fitzgerald ◽  
Michael F. Rayo

With all of the research and investment dedicated to artificial intelligence and other automation technologies, there is a paucity of evaluation methods for how these technologies integrate into effective joint human-machine teams. Current evaluation methods, which largely were designed to measure performance of discrete representative tasks, provide little information about how the system will perform when operating outside the bounds of the evaluation. We are exploring a method of generating Extensibility Plots, which predicts the ability of the human-machine system to respond to classes of challenges at intensities both within and outside of what was tested. In this paper we test and explore the method, using performance data collected from a healthcare setting in which a machine and nurse jointly detect signs of patient decompensation. We explore the validity and usefulness of these curves to predict the graceful extensibility of the system.


2021 ◽  
pp. 030981682110290
Author(s):  
Rune Møller Stahl

This article describes the ascension of neoliberal economic ideas in the macroeconomic establishment in Denmark. Based on a systematic analysis of documents from the Danish government and the Economic Council from the 1970s to the early 2000s, the article traces the development of the economic ideas and policy instrument that dominate the analytical process of the Danish macroeconomic establishment. The article applies a Gramscian-inspired framework to track the gradual and uneven process under which neoliberal economic ideas became common sense in the Danish context. This framework challenges some of the assumptions of the ideational focus of much constructivist literature, and offers an alternative analysis focused on the legitimating role of economic ideas. As much of the ideational change took place after policy adaptions to international economic developments, the Danish case provides little support for the theory of the causal power of ideas. Rather, it seems as though economic models and ideas are imported as ‘after the fact’ legitimations of changes in policy.


Author(s):  
J. B. Young ◽  
R. C. Wilcock

This paper is Part I of a study concerned with developing a formal framework for modelling air-cooled gas turbine cycles and deals with basic thermodynamic issues. Such cycles involve gas mixtures with varying composition which must be modelled realistically. A possible approach is to define just two components, air and gas, the latter being the products of stoichiometric combustion of the fuel with air. If these components can be represented as ideal gases, the entropy increase due to compositional mixing, although a true exergy loss, can be ignored for the purpose of performance prediction. This provides considerable simplification. Consideration of three idealised simple cycles shows that the introduction of cooling with an associated thermal mixing loss does not necessarily result in a loss of cycle efficiency. This is no longer true when real gas properties and turbomachinery losses are included. The analysis clarifies the role of the cooling losses and shows the importance of assessing performance in the context of the complete cycle. There is a strong case for representing the cooling losses in terms of irreversible entropy production as this provides a formalised framework, clarifies the modelling difficulties and aids physical interpretation. Results are presented which show the effects on performance of varying cooling flowrates and cooling losses. A comparison between simple and reheat cycles highlights the rôle of the thermal mixing loss. Detailed modelling of the heat transfer and cooling losses is discussed in Part II of this paper.


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