Use Of Performance Models Research Articles

The impact of training strategy by performance that uses tempo trainer pro in achievement to 400 meters freestyle swimming for Iraqi national tame advanced ones

- Finding out the indication of differences of achievement between pre and post-tests of both experimental and control groups. - Finding out the indication of differences of achievement of post-tests of both experimental and control groups. - Finding out the indication of differences of the impact of training strategy by performance modeling that uses tempo trainer pro between both experimental and control groups in the post-tests. The researchers uses the experimental method since it suits the paper concept. The experiment was applied on a target of the Iraqi National Team advanced swimmers of 400 m freestyle swimming, (12) ones, so that the target is a collective one. Those 12 were classified into two groups of( 6) members each: experimental and control groups. The similarity of (height, weight, training and time ages) variables was done, in addition to the equivalence of (performance modeling, both Anaerobic and aerobic abilities and achievement) variables between both groups. Then, the experimental design was used by the researcher, which is entitled the equivalent groups of both pre and post-tests design, a matter that made the experimental group apply the experimental method of an independent variable (training strategy by performance modeling of critical swimming speed that uses tempo trainer pro) which is a training strategy the researcher put to achieve a good( 400) m freestyle swimming, getting the way of dividing the regular distance, grouping the level of training capacity to get the best performance of the critical swimming speed to go with Anaerobic threshold speed of each swimmer, decreasing the lost time during that competition, and other training and strategic goals. After that, the researcher interrelated with the Iraqi National Team method of( 400) m freestyle swimming during competition periods so as the experimental group could be applicable for him on his paper achieving days: four days a week and it lasted for six weeks. During that period, the experimental group had done( 24 ) training units that applied the independent variable. A number of scouting experiments were done before the application of the method on the paper target by the support of the assistant team, followed by a number of specialized tests on swimming from various and modern resources which had never been used and applied in our local and regional reality. Therefore, they had been grouped into our local reality through the achieving of the scientific factors. Furthermore, new statistical equations were used to achieve the tests: modeling and critical swimming speed ones. Also, relevant and independent T tests were used to get the experimental outcomes. An imported system (Tempo trainer pro) was also used to help achieving the paper aims together with pulse measuring watch (polar type). The outcomes were furtherly discussed to help the researchers get the following concluding points: - There is a prominent effect of the use of performance modeling in the evolution of the level of tactical performance strategy for swimmers of the experimental group, which caused its superiority over the control group in the achievement variable of freestyle swimming (400) meters. - There is a positive effect of using the water rhythm counter (Tempo Trainer pro) in adjusting the speed parameters according to the appropriate stresses for the training and racing distances until the regularity of the speed and good estimate of the appropriate distance time during the effort of the experimental group swimmers as it was a reason for their superiority over the control group in the dependent search variables.

The Ethical Implications of Altering Public Sector Accountability Models: The Case of the Atlanta Cheating Scandal

ABSTRACTOutcome based policies promote the use performance accountability models. However, the impact these policies have on the ethical culture of public sector organizations has not been adequately assessed. This research examines performance accountability reforms by examining the City of Atlanta’s implementation of federal and state performance policies. The analysis reveals the use of performance models in vulnerable organizations negatively impact employees’ ethical behavior. Teachers and administrators altered test results, delivered threats, misled parents and students about performance outcomes, and were dishonest with state investigators to give the illusion that performance goals had been met or exceeded.

Explicit numerical simulation-based study of the hydrodynamics of micro-packed beds

Knowledge of the hydrodynamic character of micro-packed beds (μPBs) is critical to understanding pumping power requirements and their performance in various applications, including those where heat and mass transfer are involved. The report here details use of smoothed particle hydrodynamics (SPH) based simulation of fluid flow on models of μPBs derived from X-ray microtomography to predict the hydrodynamic character of the beds as a function of the bed-to-particle diameter ratio over the range 5.2≤Ddp≤15.1. It is shown that the permeability of the μPBs decreases in a non-linear but monotonic manner with this ratio to a plateau beyond Ddp≈10 that corresponded to the value predicted by the Ergun equation. This permeability variation was best represented by the model of Reichelt (Chem. Ing. Technik, 44, 1068, 1972) and also reasonably well-represented by that of Foumeny (Intnl. J. Heat Mass Transfer, 36, 536, 1993), both of which were developed using macroscale packed beds of varying bed-to-particle diameter ratios. Four other similarly determined correlations did not match well the permeability variation predicted by SPH. The flow field within the μPBs varied in an oscillatory manner with radial position (i.e. channelling occurred at multiple radial positions) due to a similar variation in the porosity. This suggests that use of performance models (e.g. for heat and mass transfer) derived for macroscale beds may not be suitable for μPBs. The SPH-based approach here may well form a suitable basis for predicting such behaviour, however.

Use of Performance Models in Restoration Projects

Environmental restoration projects can benefit from using performance models tied to monitoring plans and closure/exit strategies. Theoretical aspects are discussed and a case study is provided to illustrate how models can be developed and applied. Recognizing that site characterization cannot remove all uncertainty, most performance models cannot be narrowly developed (e.g., specific concentrations expected over time). Instead they must define threshold values at which performance data indicate the remedy is failing, or at least is not operating at the required level to achieve objectives within a reasonable timeframe. Ultimately, the performance model should be transformed to a closure model. The closure model is intended to document how closure was achieved and what measures remain in place to ensure protection of human health and the environment. In this context, the performance model is an intermediate step in the sequence starting from a conceptual site model and ending as the closure model. © 2014 Wiley Periodicals, Inc.

Performance measurement models in facility management: a comparative study

PurposeThe purpose of this paper is to compare the major performance measurement models, hereafter called performance models, and investigate their application in the context of facility management (FM), based on which it aims to identify the effectiveness of these models and recommend the most important performance indicators.Design/methodology/approachA combination of literature review, expert interview and questionnaire survey is adopted in this study. A literature review and a series of expert interviews help to identify the performance models spread in general and applied to FM in particular. Based on the literature review and expert interviews, a questionnaire survey is carried out in the UK and Ireland to investigate the application of performance models in FM practice.FindingsThe review of relevant literature shows that in recent years various models have been developed to measure and improve the performance of organisations. The application of such models within FM organisations is evaluated in this study. It is found that key performance indicators (KPI), the Balanced Scorecard (BSC), and the Business Excellence Model (BEM) are more widely accepted and more effective than others. This is similar to the findings by a previous construction study. FM organisations benefit from effective performance measurement. When measuring performance, it is important for them to select the appropriate models and indicators.Originality/valueThe existing studies contribute to the establishment of various performance models and the introduction of their concepts into the FM discipline. However, whether the application of these models in reality is effective or not needs to be justified. This research aims at analysing the real effect of existing models in the FM sector. Comparison is made between FM and construction. It helps to identify the major benefits from performance measurement for FM organisations. It provides FM practitioners with an insight into the appropriate use of performance models and indicators.

Performance optimization of financial option calculations

This paper is concerned with optimizing financial programs through the use of performance models to promote the best use of available computational resources. The work necessarily focuses on run-time optimization, where a performance model of the program is combined with knowledge of run-time conditions (such as input data and system state) to produce information useful in the optimization process. Two specific techniques are presented: a method for dynamically selecting the best algorithm for pricing a particular financial product based on run-time performance data (optimization at the single calculation level), and a method of using performance data with heuristic techniques for run-time scheduling of a large number of option-pricing calculations (both sequential and parallel) over the entire computer system. Demonstrations of these techniques for example calculations and resources typically used in financial institutions are also described.

Some principles for quality of service management

Distributed multimedia applications require a variety of levels of quality of service (QoS) from communication networks and end-systems which realize the multimedia interface with the human users or provide remotely accessed multimedia information. The management of these services has to take into account the available resources and the user's wishes concerning the desired quality and costs. Based on our experience with the construction of a News-on-Demand prototype, we present in this paper a few simple principles applying to QoS management for distributed multimedia applications. We discuss in particular ways in which an application can adapt to reduced network performance related to throughput, loss, delay or jitter, and we consider the situation where the configuration of the distributed application can be selected dynamically and be revised during the running of the application. We also comment on the handling of QoS in a layered system architecture and the use of performance models for QoS management.

A tool to enhance model exploitation

Recent work at the University of Edinburgh has aimed to enhance the use of performance models and to make such models more accessible to non-expert users such as designers. This work, part of the Integrated Modelling Support Environment (IMSE) project supported by the CEC, resulted in the development of a tool for creating and running experiments within a performance modelling context. This paper describes the main features of this tool, the Experimenter, and the support environment within which it was developed. We also explain how these features provide a new level of support for the performance model user.

Beyond execution time: expanding the use of performance models

Improved performance is a major motivation for using parallel computation. However, performance models are frequently used only to predict an algorithm's execution time, not to accurately evaluate how the choices of architecture, operating system, interprocessor communication protocol, and programming language also dramatically affect parallel performance. We have developed an analytic model for synchronous iterative algorithms running on distributed-memory MIMD machines, and refined it for disrete-event simulation. The model describes the execution time of a single run in terms of application parameters such as the number of iterations and the required computation in each, and architectural parameters such as the number of processors, processor speed, and communication time. Our experience has shown us that an analytic model can not only accurately predict an algorithm's performance but can also match the algorithm to an appropriate architecture, identify ways to improve the algorithm's performance, quantify the performance effects of algorithmic or architectural changes, and provide a better understanding of how the algorithm works. >

An Introduction to Performance Modeling and Analysis

Performance modeling and analysis provide an important means to ensure the cost-effective design and engineering of communications and computer systems, as well as services based on such systems. Appropriate use of performance modeling and analysis techniques can provide quantitative insight into system performance that would otherwise be difficult, expensive, or even impossible to obtain.