iWISE: A FRAMEWORK FOR PROVIDING DISTRIBUTED PROCESS VISIBILITY USING AN EVENT-BASED PROCESS MODELLING APPROACH

2006 ◽  
Keyword(s):  
Process Modelling ◽  
Process Visibility ◽  
Distributed Process ◽  
Event Based ◽  
Modelling Approach

scholarly journals A process modelling approach to the evaluation of ship machinery configuration alternatives of LNG carriers

2016 ◽  
Vol 19 (3) ◽  
pp. 146 ◽  
Author(s):  
George G Dimopoulos ◽  
Iason V Stefanatos ◽  
Nikolaos M.P Kakalis
Keyword(s):  
Process Modelling ◽  
Modelling Approach

Towards a reusable business process modelling approach

2020 ◽  
Vol 10 (2) ◽  
pp. 104
Author(s):  
Denis Silva Da Silveira ◽  
Eliane Maria Loiola ◽  
N.A. Jo�ã ◽  
o Araújo ◽  
Ana Moreira ◽  
...  
Keyword(s):  
Business Process ◽  
Process Modelling ◽  
Business Process Modelling ◽  
Modelling Approach

scholarly journals WetSpa-Urban: An Adapted Version of WetSpa-Python, A Suitable Tool for Detailed Runoff Calculation in Urban Areas

Water ◽  
2019 ◽  
Vol 11 (12) ◽  
pp. 2460 ◽  
Author(s):  
Nahad Rezazadeh Helmi ◽  
Boud Verbeiren ◽  
Charlotte Wirion ◽  
Ann van Griensven ◽  
Imeshi Weerasinghe ◽  
...  
Keyword(s):  
Open Source ◽  
Surface Runoff ◽  
Urban Areas ◽  
Statistical Investigation ◽  
Hydrological Processes ◽  
Rapid Urbanization ◽  
Storm Water Management Model ◽  
Distributed Process ◽  
Model Efficiency ◽  
Event Based

A tool called WetSpa-Urban was developed to respond to the need for precise runoff estimations in an increasingly urbanized world. WetSpa-Urban links the catchment model WetSpa-Python to the urban drainage model Storm Water Management Model (SWMM). WetSpa-Python is an open-source, fully distributed, process-based model that accurately represents surface hydrological processes but does not simulate hydraulic structures. SWMM is a well-known open-source hydrodynamic tool that calculates pipe flow processes in an accurate manner while runoff is calculated conceptually. Merging these tools along with certain modifications, such as improving the efficiency of surface runoff calculation and simulating flow at the sub-catchment level, makes WetSpa-Urban suitable for event-based and continuous rainfall–runoff modeling for urban areas. WetSpa-Urban was applied to the Watermaelbeek catchment in Brussels, Belgium, which recently experienced rapid urbanization. The model efficiency was evaluated using different statistical methods, such as Nash–Sutcliffe efficiency and model bias. In addition, a statistical investigation, independent of time, was performed by applying the box-cox transformation to the observed and simulated values of the flow peaks. By speeding up the simulation of the hydrological processes, the performance of the surface runoff calculation increased by almost 130%. The evaluation of the simulated 10 minute flow versus the observed flow at the outlet of the catchment for 2015 reached a Nash–Sutcliffe efficiency of 0.86 and a bias equal to 0.06.

scholarly journals Sex-linked genetic diversity originates from persistent sociocultural processes at microgeographic scales

2019 ◽  
Vol 6 (8) ◽  
pp. 190733
Author(s):  
Ning Ning Chung ◽  
Guy S. Jacobs ◽  
Herawati Sudoyo ◽  
Safarina G. Malik ◽  
Lock Yue Chew ◽  
...  
Keyword(s):  
Population Genetic ◽  
Historical Context ◽  
Process Modelling ◽  
Genetic Studies ◽  
Complex Interactions ◽  
Testing Complex ◽  
Sociocultural Processes ◽  
The Individual ◽  
Modelling Approach ◽  
Individual Human

Population genetics has been successful at identifying the relationships between human groups and their interconnected histories. However, the link between genetic demography inferred at large scales and the individual human behaviours that ultimately generate that demography is not always clear. While anthropological and historical context are routinely presented as adjuncts in population genetic studies to help describe the past, determining how underlying patterns of human sociocultural behaviour impact genetics still remains challenging. Here, we analyse patterns of genetic variation in village-scale samples from two islands in eastern Indonesia, patrilocal Sumba and a matrilocal region of Timor. Adopting a ‘process modelling’ approach, we iteratively explore combinations of structurally different models as a thinking tool. We find interconnected socio-genetic interactions involving sex-biased migration, lineage-focused founder effects, and on Sumba, heritable social dominance. Strikingly, founder ideology, a cultural model derived from anthropological and archaeological studies at larger regional scales, has both its origins and impact at the scale of villages. Process modelling lets us explore these complex interactions, first by circumventing the complexity of formal inference when studying large datasets with many interacting parts, and then by explicitly testing complex anthropological hypotheses about sociocultural behaviour from a more familiar population genetic standpoint.

A Framework for the use of Business Activity Monitoring in Process Improvement

2011 ◽  
pp. 21-46 ◽  
Author(s):  
Owen Molloy ◽  
Claire Sheridan
Keyword(s):  
Real Time ◽  
Process Improvement ◽  
Process Management ◽  
Performance Metrics ◽  
Process Modelling ◽  
Process Models ◽  
Process Performance ◽  
Modelling Languages ◽  
Process Metrics ◽  
Event Based

Process performance improvement initiatives can be significantly enhanced in terms of performance measurement and diagnosis by real-time performance, quality and traceability information. Currently available Business Intelligence (BI) and Business Process Management (BPM) systems struggle to provide sufficiently lightweight or flexible solutions for the needs of process improvement projects. In addition, current process modelling languages such as XPDL and BPEL provide little or no support for the inclusion of detailed process performance metrics. This paper describes a generic framework using event-based process modelling to support the definition and inclusion of performance metrics and targets within process models, and the calculation of process performance metrics at user-defined intervals. The iWise implementation of this framework is an XML and Web services-based infrastructure that uses this event-based model for enhancing process visibility using real-time process metrics. Users can adjust alert thresholds on key process metrics in real-time. iWise also evaluates events for outlier or out-of-bounds events as they are processed. It uses an integrated rules engine, leveraging semantic technologies to write rules which are tested as process-related events occur in real-time.

Adequacy and security analysis of interdependent electric and gas networks

2017 ◽  
Vol 232 (2) ◽  
pp. 121-139 ◽  
Author(s):  
Andrea Antenucci ◽  
Giovanni Sansavini
Keyword(s):  
Power Flow ◽  
Flow Model ◽  
Security Analysis ◽  
Operating Conditions ◽  
Coupled Systems ◽  
Gas Network ◽  
Gas Networks ◽  
Safety Strategies ◽  
Event Based ◽  
Modelling Approach

In this article, adequacy and security assessments on the coupled operations of the electric and gas networks are performed. Extreme operating conditions and fault of components are considered as events that can impact the interdependent systems. The electric and gas networks are represented by an event-based direct current power flow model and by a transient one-dimensional mass flow model, respectively. Furthermore, the automations and safety strategies enforced by transmission system operators are represented within an original modelling approach. A quantitative analysis is performed with reference to the simplified energy infrastructures of Great Britain. Results highlight the contingencies which can jeopardize security and identify the components that are prone to fail and induce large gas pressure instabilities and loss of supply, and the locations in the gas grid that are susceptible to pressure violation. Moreover, a simulated 30% increase of the peak gas demand in 2015 is a limit for safe operations of the gas network, but the coupled systems are robust enough to avoid the spread of a cascading failure across networks. These results allow preventing critical operating conditions induced by the interaction between networks and can guide safety-based decisions on system reinforcements and the development of mitigating actions.

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