PCaPAC2018 - List of Keywords (TANGO)

Paper	Title	Other Keywords	Page
WEP02	BLISS - Experiments Control for ESRF Beamline	controls, SRF, interface, hardware	26
	V. Michel, A. Beteva, T.M. Coutinho, M.C. Dominguez, M. Guijarro, C. Guilloud, A. Homs, J.M. Meyer, E. Papillon, M. Perez, S. Petitdemange ESRF, Grenoble, France
	BLISS is the new ESRF control system for running experiments, with full deployment aimed for the end of the EBS upgrade program in 2020. BLISS provides a global approach to run synchrotron experiments, thanks to hardware integration, Python sequences and an advanced scanning engine. As a Python package, BLISS can be easily embedded into any Python application and data management features enable online data analysis. In addition, BLISS ships with tools to enhance scientists user experience and can easily be integrated into TANGO based environments, with generic TANGO servers on top of BLISS controllers. BLISS configuration facility can be used as an alternative TANGO database. Delineating all aspects of the BLISS project from beamline device configuration up to the integrated user interface, this poster will present the technical choices that drove BLISS design and will describe the BLISS software architecture and technology stack in depth.
	Slides WEP02 [8.409 MB]
	Poster WEP02 [1.674 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-PCaPAC2018-WEP02
About •	paper received ※ 04 October 2018 paper accepted ※ 30 January 2019 issue date ※ 21 January 2019
Export •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

WEP25	Evolution and Convergence of Alarm Systems in Tango	controls, database, vacuum, device-server	92
	S. Rubio-Manrique, G. Cuní, F.F.B. Fernández, R. Monge ALBA-CELLS Synchrotron, Cerdanyola del Vallès, Spain G. Scalamera Elettra-Sincrotrone Trieste S.C.p.A., Basovizza, Italy
	The technology upgrade that represents Tango 9 has triggered the evolution of two of the most used Tango tools, the PANIC Alarm System and the HDB++ Archiving. This paper presents the status of the collaboration between Alba and Elettra Synchrotron sources for the convergence of its both alarms systems under the IEC62682 standard, and the usage of HDB++ tools for logging and diagnostic of alarms. Relevant use cases from the user point of view has been added to the paper as a validation of the benefits of this control system evolution.
	Poster WEP25 [1.007 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-PCaPAC2018-WEP25
About •	paper received ※ 17 October 2018 paper accepted ※ 18 October 2018 issue date ※ 21 January 2019
Export •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

THCB3	Improving Web2cHMI Gesture Recognition Using Machine Learning	controls, toolkit, interface, extraction	148
	R. Bacher DESY, Hamburg, Germany
	Web2cHMI is multi-modal human-machine interface which seamlessly incorporates actions based on various interface modalities in a single API, including finger, hand and head gestures as well as spoken commands. The set of native gestures provided by off-the-shelf 2D- or 3D-interface devices such as the Myo gesture control armband can be enriched or extended by additional custom gestures. This paper discusses a particular method and its implementation in recognizing different finger, hand and head movements using supervised machine learning algorithms including a non-linear regression for feature extraction of the movement and a k-nearest neighbor method for movement classification using memorized training data. The method is capable of distinguishing between fast and slow, short and long, up and down, or right and left linear as well as clockwise and counterclockwise circular movements, which can then be associated with specific user interactions.
	Slides THCB3 [0.934 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-PCaPAC2018-THCB3
About •	paper received ※ 14 September 2018 paper accepted ※ 16 October 2018 issue date ※ 21 January 2019
Export •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

Paper

Title

Other Keywords

Page

WEP02

BLISS - Experiments Control for ESRF Beamline

controls, SRF, interface, hardware

26

V. Michel, A. Beteva, T.M. Coutinho, M.C. Dominguez, M. Guijarro, C. Guilloud, A. Homs, J.M. Meyer, E. Papillon, M. Perez, S. Petitdemange
ESRF, Grenoble, France

BLISS is the new ESRF control system for running experiments, with full deployment aimed for the end of the EBS upgrade program in 2020. BLISS provides a global approach to run synchrotron experiments, thanks to hardware integration, Python sequences and an advanced scanning engine. As a Python package, BLISS can be easily embedded into any Python application and data management features enable online data analysis. In addition, BLISS ships with tools to enhance scientists user experience and can easily be integrated into TANGO based environments, with generic TANGO servers on top of BLISS controllers. BLISS configuration facility can be used as an alternative TANGO database. Delineating all aspects of the BLISS project from beamline device configuration up to the integrated user interface, this poster will present the technical choices that drove BLISS design and will describe the BLISS software architecture and technology stack in depth.

Slides WEP02 [8.409 MB]

Poster WEP02 [1.674 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-PCaPAC2018-WEP02

About •

paper received ※ 04 October 2018 paper accepted ※ 30 January 2019 issue date ※ 21 January 2019

Export •

reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

WEP25

Evolution and Convergence of Alarm Systems in Tango

controls, database, vacuum, device-server

92

S. Rubio-Manrique, G. Cuní, F.F.B. Fernández, R. Monge
ALBA-CELLS Synchrotron, Cerdanyola del Vallès, Spain
G. Scalamera
Elettra-Sincrotrone Trieste S.C.p.A., Basovizza, Italy

The technology upgrade that represents Tango 9 has triggered the evolution of two of the most used Tango tools, the PANIC Alarm System and the HDB++ Archiving. This paper presents the status of the collaboration between Alba and Elettra Synchrotron sources for the convergence of its both alarms systems under the IEC62682 standard, and the usage of HDB++ tools for logging and diagnostic of alarms. Relevant use cases from the user point of view has been added to the paper as a validation of the benefits of this control system evolution.

Poster WEP25 [1.007 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-PCaPAC2018-WEP25

About •

paper received ※ 17 October 2018 paper accepted ※ 18 October 2018 issue date ※ 21 January 2019

Export •

reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

THCB3

Improving Web2cHMI Gesture Recognition Using Machine Learning

controls, toolkit, interface, extraction

148

R. Bacher
DESY, Hamburg, Germany

Web2cHMI is multi-modal human-machine interface which seamlessly incorporates actions based on various interface modalities in a single API, including finger, hand and head gestures as well as spoken commands. The set of native gestures provided by off-the-shelf 2D- or 3D-interface devices such as the Myo gesture control armband can be enriched or extended by additional custom gestures. This paper discusses a particular method and its implementation in recognizing different finger, hand and head movements using supervised machine learning algorithms including a non-linear regression for feature extraction of the movement and a k-nearest neighbor method for movement classification using memorized training data. The method is capable of distinguishing between fast and slow, short and long, up and down, or right and left linear as well as clockwise and counterclockwise circular movements, which can then be associated with specific user interactions.

Slides THCB3 [0.934 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-PCaPAC2018-THCB3

About •

paper received ※ 14 September 2018 paper accepted ※ 16 October 2018 issue date ※ 21 January 2019

Export •

reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)