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The Global ETD Search service is a free service for researchers
to find electronic theses and dissertations. This service is
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Networked Digital Library of Theses and Dissertations.
Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
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Showing 61 to 64 of 64 (0.083 seconds)Spelling suggestions: "subject:"realtime monitoring"" "subject:"realtime monitoring""
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Studie över klimatförändringars påverkan på dynamisk ledningskapacitet / Study of the impact of climate change on dynamic line ratingHahne, Linnea January 2021 (has links)
The thesis aims to examine the impact of climate change on line rating and to investigate the possibility of a potential increase of capacity of an overhead line. The line rating of an overhead line determines how much current can be transmitted in the line. The weather parameters which affect the line rating are ambient temperature, solar radiation, wind speed, and wind direction. If the line rating is adapted to weather conditions, it is important to be able to predict how the weather will change in the future. Therefore, the impact of climate change on weather parameters is investigated. The ambient temperature and solar radiation are expected to change between different scenarios. However, it is unclear how wind speed and wind direction will be affected. Climate scenarios are designed that take these findings into account. The results show that wind speed has, by a large margin from other weather parameters, the largest impact on the dynamic line rating. This is followed by the wind's angle of attack to the conductor, ambient temperature, and finally solar radiation. For the designed climate scenarios, the dynamic line rating is almost the same in each case, which means that the calculated change in ambient temperature and solar radiation has no significant effect on the line rating. To further increase the capacity of the overhead line, the line could be upgraded with a conductor with a larger cross-sectional area.
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| 62 |
Combining Business Intelligence, Indicators, and the User Requirements Notation for Performance MonitoringJohari Shirazi, Iman 26 November 2012 (has links)
Organizations use Business Intelligence (BI) systems to monitor how well they are meeting
their goals and objectives. Yet, very often BI systems do not include clear models of
the organization’s goals or of how to measure whether they are satisfied or not. Several
researchers now attempt to integrate goal models into BI systems, but there are still major
challenges related to how to get access to the BI data to populate the part of the goal
model (often indicators) used to assess goal satisfaction.
This thesis explores a new approach to integrate BI systems with goal models. In
particular, it explores the integration of IBM Cognos Business Intelligence, a leading BI
tool, with an Eclipse-based goal modeling tool named jUCMNav. jUCMNav is an open
source graphical editor for the User Requirements Notation (URN), which includes the
Use Case Map notation for scenarios and processes and the Goal-oriented Requirement
Language for business objectives. URN was recently extended with the concept of Key
Performance Indicator (KPI) to enable performance assessment and monitoring of business
processes. In jUCMNav, KPIs are currently calculated or modified manually. The
new integration proposed in this thesis maps these KPIs to report elements that are generated
automatically by Cognos based on the model defined in jUCMNav at runtime, with
minimum effort. We are using IBM Cognos Mashup Service, which includes web services
that enable the retrieval of report elements at the most granular level. This transformation
provides managers and analysts with useful goal-oriented and process-oriented
monitoring views fed by just-in-time BI information. This new solution also automates
retrieving data from Cognos servers, which helps reducing the high costs usually caused
by the amount of manual work required otherwise.
The novel approach presented in this thesis avoids manual report generation and
minimizes any contract with respect to the location of manually created reports, hence
leading to better usability and performance. The approach and its tool support are illustrated
with an ongoing example, validated with a case study, and verified through testing.
|
| 63 |
Combining Business Intelligence, Indicators, and the User Requirements Notation for Performance MonitoringJohari Shirazi, Iman 26 November 2012 (has links)
Organizations use Business Intelligence (BI) systems to monitor how well they are meeting
their goals and objectives. Yet, very often BI systems do not include clear models of
the organization’s goals or of how to measure whether they are satisfied or not. Several
researchers now attempt to integrate goal models into BI systems, but there are still major
challenges related to how to get access to the BI data to populate the part of the goal
model (often indicators) used to assess goal satisfaction.
This thesis explores a new approach to integrate BI systems with goal models. In
particular, it explores the integration of IBM Cognos Business Intelligence, a leading BI
tool, with an Eclipse-based goal modeling tool named jUCMNav. jUCMNav is an open
source graphical editor for the User Requirements Notation (URN), which includes the
Use Case Map notation for scenarios and processes and the Goal-oriented Requirement
Language for business objectives. URN was recently extended with the concept of Key
Performance Indicator (KPI) to enable performance assessment and monitoring of business
processes. In jUCMNav, KPIs are currently calculated or modified manually. The
new integration proposed in this thesis maps these KPIs to report elements that are generated
automatically by Cognos based on the model defined in jUCMNav at runtime, with
minimum effort. We are using IBM Cognos Mashup Service, which includes web services
that enable the retrieval of report elements at the most granular level. This transformation
provides managers and analysts with useful goal-oriented and process-oriented
monitoring views fed by just-in-time BI information. This new solution also automates
retrieving data from Cognos servers, which helps reducing the high costs usually caused
by the amount of manual work required otherwise.
The novel approach presented in this thesis avoids manual report generation and
minimizes any contract with respect to the location of manually created reports, hence
leading to better usability and performance. The approach and its tool support are illustrated
with an ongoing example, validated with a case study, and verified through testing.
|
| 64 |
Combining Business Intelligence, Indicators, and the User Requirements Notation for Performance MonitoringJohari Shirazi, Iman January 2012 (has links)
Organizations use Business Intelligence (BI) systems to monitor how well they are meeting
their goals and objectives. Yet, very often BI systems do not include clear models of
the organization’s goals or of how to measure whether they are satisfied or not. Several
researchers now attempt to integrate goal models into BI systems, but there are still major
challenges related to how to get access to the BI data to populate the part of the goal
model (often indicators) used to assess goal satisfaction.
This thesis explores a new approach to integrate BI systems with goal models. In
particular, it explores the integration of IBM Cognos Business Intelligence, a leading BI
tool, with an Eclipse-based goal modeling tool named jUCMNav. jUCMNav is an open
source graphical editor for the User Requirements Notation (URN), which includes the
Use Case Map notation for scenarios and processes and the Goal-oriented Requirement
Language for business objectives. URN was recently extended with the concept of Key
Performance Indicator (KPI) to enable performance assessment and monitoring of business
processes. In jUCMNav, KPIs are currently calculated or modified manually. The
new integration proposed in this thesis maps these KPIs to report elements that are generated
automatically by Cognos based on the model defined in jUCMNav at runtime, with
minimum effort. We are using IBM Cognos Mashup Service, which includes web services
that enable the retrieval of report elements at the most granular level. This transformation
provides managers and analysts with useful goal-oriented and process-oriented
monitoring views fed by just-in-time BI information. This new solution also automates
retrieving data from Cognos servers, which helps reducing the high costs usually caused
by the amount of manual work required otherwise.
The novel approach presented in this thesis avoids manual report generation and
minimizes any contract with respect to the location of manually created reports, hence
leading to better usability and performance. The approach and its tool support are illustrated
with an ongoing example, validated with a case study, and verified through testing.
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