ICALEPCS2011 - List of Keywords (background)

Paper	Title	Other Keywords	Page
MOCAULT01	Managing Mayhem	controls, factory	24
	K.S. White ORNL, Oak Ridge, Tennessee, USA
	In research institutes, scientists and engineers are often promoted to managerial positions based on their excellence in the technical aspects of their work. Once in the managerial role, they may discover they lack the skills or interest necessary to perform the management functions that enable a healthy, productive organization. This is not really surprising when one considers that scientists and engineers are trained for quantitative analysis while the management arena is dominated by qualitative concepts. Management is generally considered to include planning, organizing, leading and controlling. This paper discusses the essential management functions and techniques that can be employed to maximize success in a research and development organization.
	Slides MOCAULT01 [2.311 MB]

THBHAUST03	Purpose and Benefit of Control System Training for Operators	controls, EPICS, status, hardware	1186
	E. Zimoch, A. Lüdeke Paul Scherrer Institut, 5232 Villigen PSI, Switzerland
	The complexity of accelerators is ever increasing and today it is typical that a large number of feedback loops are implemented, based on sophisticated models which describe the underlying physics. Despite this increased complexity the machine operators must still effectively monitor and supervise the desired behaviour of the accelerator. This is not alone sufficient; additionally, the correct operation of the control system must also be verified. This is not always easy since the structure, design, and performance of the control system is usually not visualized and is often hidden to the operator. To better deal with this situation operators need some knowledge of the control system in order to react properly in the case of problems. In this paper we will present the approach of the Paul Scherrer Institute for operator control system training and discuss its benefits.
	Slides THBHAUST03 [4.407 MB]

FRAAUIO05	High-Integrity Software, Computation and the Scientific Method	software, experiment, controls, vacuum	1297
	L. Hatton Kingston University, Kingston on Thames, United Kingdom
	Given the overwhelming use of computation in modern science and the continuing difficulties in quantifying the results of complex computations, it is of increasing importance to understand its role in the essentially Popperian scientific method. There is a growing debate but this has some distance to run as yet with journals still divided on what even constitutes repeatability. Computation rightly occupies a central role in modern science. Datasets are enormous and the processing implications of some algorithms are equally staggering. In this paper, some of the problems with computation, for example with respect to specification, implementation, the use of programming languages and the long-term unquantifiable presence of undiscovered defect will be explored with numerous examples. One of the aims of the paper is to understand the implications of trying to produce high-integrity software and the limitations which still exist. Unfortunately Computer Science itself suffers from an inability to be suitably critical of its practices and has operated in a largely measurement-free vacuum since its earliest days. Within CS itself, this has not been so damaging in that it simply leads to unconstrained creativity and a rapid turnover of new technologies. In the applied sciences however which have to depend on computational results, such unquantifiability significantly undermines trust. It is time this particular demon was put to rest.
	Slides FRAAUIO05 [0.710 MB]

Paper

Title

Other Keywords

Page

MOCAULT01

Managing Mayhem

controls, factory

24

K.S. White
ORNL, Oak Ridge, Tennessee, USA

In research institutes, scientists and engineers are often promoted to managerial positions based on their excellence in the technical aspects of their work. Once in the managerial role, they may discover they lack the skills or interest necessary to perform the management functions that enable a healthy, productive organization. This is not really surprising when one considers that scientists and engineers are trained for quantitative analysis while the management arena is dominated by qualitative concepts. Management is generally considered to include planning, organizing, leading and controlling. This paper discusses the essential management functions and techniques that can be employed to maximize success in a research and development organization.

Slides MOCAULT01 [2.311 MB]

THBHAUST03

Purpose and Benefit of Control System Training for Operators

controls, EPICS, status, hardware

1186

E. Zimoch, A. Lüdeke
Paul Scherrer Institut, 5232 Villigen PSI, Switzerland

The complexity of accelerators is ever increasing and today it is typical that a large number of feedback loops are implemented, based on sophisticated models which describe the underlying physics. Despite this increased complexity the machine operators must still effectively monitor and supervise the desired behaviour of the accelerator. This is not alone sufficient; additionally, the correct operation of the control system must also be verified. This is not always easy since the structure, design, and performance of the control system is usually not visualized and is often hidden to the operator. To better deal with this situation operators need some knowledge of the control system in order to react properly in the case of problems. In this paper we will present the approach of the Paul Scherrer Institute for operator control system training and discuss its benefits.

Slides THBHAUST03 [4.407 MB]

FRAAUIO05

High-Integrity Software, Computation and the Scientific Method

software, experiment, controls, vacuum

1297

L. Hatton
Kingston University, Kingston on Thames, United Kingdom

Given the overwhelming use of computation in modern science and the continuing difficulties in quantifying the results of complex computations, it is of increasing importance to understand its role in the essentially Popperian scientific method. There is a growing debate but this has some distance to run as yet with journals still divided on what even constitutes repeatability. Computation rightly occupies a central role in modern science. Datasets are enormous and the processing implications of some algorithms are equally staggering. In this paper, some of the problems with computation, for example with respect to specification, implementation, the use of programming languages and the long-term unquantifiable presence of undiscovered defect will be explored with numerous examples. One of the aims of the paper is to understand the implications of trying to produce high-integrity software and the limitations which still exist. Unfortunately Computer Science itself suffers from an inability to be suitably critical of its practices and has operated in a largely measurement-free vacuum since its earliest days. Within CS itself, this has not been so damaging in that it simply leads to unconstrained creativity and a rapid turnover of new technologies. In the applied sciences however which have to depend on computational results, such unquantifiability significantly undermines trust. It is time this particular demon was put to rest.

Slides FRAAUIO05 [0.710 MB]