A Method for the Joint Analysis of Numerical and Textual IT-System Data to Predict Critical System States

2021 ◽  
pp. 242-261
Author(s):  
Patrick Kubiak ◽  
Stefan Rass ◽  
Martin Pinzger ◽  
Stephan Schneider
Keyword(s):  
Joint Analysis ◽  
Critical System ◽  
System Data ◽  
System States

scholarly journals A Novel Framework for Synchrophasor Based Online Recognition and Efficient Post-Mortem Analysis of Disturbances in Power Systems

2020 ◽  
Vol 10 (15) ◽  
pp. 5209
Author(s):  
Andre Kummerow ◽  
Cristian Monsalve ◽  
Christoph Brosinsky ◽  
Steffen Nicolai ◽  
Dirk Westermann
Keyword(s):  
Decision Making ◽  
Power Systems ◽  
System Operation ◽  
Critical System ◽  
Web Based ◽  
Additional Information ◽  
Decision Making Processes ◽  
System States ◽  
Transient System ◽  
And Control

Synchrophasor based applications become more and more popular in today’s control centers to monitor and control transient system events. This can ensure secure system operation when dealing with bidirectional power flows, diminishing reserves and an increased number of active grid components. Today’s synchrophasor applications provide a lot of additional information about the dynamic system behavior but without significant improvement of the system operation due to the lack of interpretable and condensed results as well as missing integration into existing decision-making processes. This study presents a holistic framework for novel machine learning based applications analyzing both historical as well as online synchrophasor data streams. Different methods from dimension reduction, anomaly detection as well as time series classification are used to automatically detect disturbances combined with a web-based online visualization tool. This enables automated decision-making processes in control centers to mitigate critical system states and to ensure secure system operations (e.g., by activating curate actions). Measurement and simulation-based results are presented to evaluate the proposed synchrophasor application modules for different use cases at the transmission and distribution level.

Lean diabetes: A joint analysis of the German DIVE and DPV registries

2017 ◽  
Vol 12 (S 01) ◽  
pp. S1-S84
Author(s):  
B Hartmann ◽  
F Groß ◽  
P Bramlage ◽  
S Lanzinger ◽  
T Danne ◽  
...  
Keyword(s):  
Joint Analysis

Development of JIT patient-specific implants

2019 ◽  
Vol 2 (1) ◽  
Author(s):  
Leanne SOBEL ◽  
Katrina SKELLERN ◽  
Kat PEREIRA
Keyword(s):  
Design Thinking ◽  
Technology Development ◽  
Complex Problem ◽  
Project Team ◽  
Healthcare Sector ◽  
Strategy Development ◽  
Patient Specific ◽  
Critical System ◽  
Patient Specific Implants ◽  
Human Centred Design

Design thinking and human-centred design is often discussed and utilised by teams and organisations seeking to develop more optimal, effective or innovative solutions for better customer outcomes. In the healthcare sector the opportunity presented by the practice of human-centred design and design thinking in the pursuit of better patient outcomes is a natural alignment. However, healthcare challenges often involve complex problem sets, many stakeholders, large systems and actors that resist change. High-levels of investment and risk aversion results in the status quo of traditional technology-led processes and analytical decision-making dominating product and strategy development. In this case study we present the opportunities, challenges and benefits that including a design-led approach in developing complex healthcare technology can bring. Drawing on interviews with participants and reflections from the project team, we explore and articulate the key learning from using a design-led approach. In particular we discuss how design-led practices that place patients at the heart of technology development facilitated the project team in aligning key stakeholders, unearthing critical system considerations, and identifying product and sector-wide opportunities.

SenCity – Evaluating Users’ Experiences of Intelligent Lighting for Well-Being in Smart Cities

2018 ◽  
pp. 60-67
Author(s):  
Henrika Pihlajaniemi ◽  
Anna Luusua ◽  
Eveliina Juntunen
Keyword(s):  
Case Studies ◽  
Smart City ◽  
Smart Cities ◽  
Well Being ◽  
Evaluation Methods ◽  
Data Analyses ◽  
Sense Of Security ◽  
System Data

This paper presents the evaluation of usersХ experiences in three intelligent lighting pilots in Finland. Two of the case studies are related to the use of intelligent lighting in different kinds of traffic areas, having emphasis on aspects of visibility, traffic and movement safety, and sense of security. The last case study presents a more complex view to the experience of intelligent lighting in smart city contexts. The evaluation methods, tailored to each pilot context, include questionnaires, an urban dashboard, in-situ interviews and observations, evaluation probes, and system data analyses. The applicability of the selected and tested methods is discussed reflecting the process and achieved results.

IoT based e-Healthcare System to Enable Remote Patient Care based on Cloud Server

2017 ◽  
Vol 7 (7) ◽  
pp. 36
Author(s):  
P.Venu Gopala Rao ◽  
Eslavath Raja ◽  
Ramakrishna Gandi ◽  
G. Ravi Kumar
Keyword(s):  
Low Cost ◽  
Vital Signs ◽  
Smart Phone ◽  
Medical Professional ◽  
Design Parameters ◽  
Cloud Server ◽  
Significant Area ◽  
Efficient Data ◽  
System Data ◽  
Remote Patient

IoT (Internet of Things) has become most significant area of research to design an efficient data enabled services with the help of sensors. In this paper, a low-cost system design for e-healthcare service to process the sensitive health data is presented. Vital signs of the human body are measured from the patient location and shared with a registered medical professional for consultation. Temperature and heart rate are the major signals obtained from a patient for the initial build of the system. Data is sent to a cloud server where processing and analysis is provided for the medical professional to analyze. Secure transmission and dissemination of data through the cloud server is provided with an authentication system and the patient could be able to track his data through a smart phone on connecting to the cloud server. A prototype of the system along with its design parameters has been discussed.

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