scholarly journals Features of degradation faults modeling of initial measurers of monitoring systems

2017 ◽  
pp. 48-56
Author(s):  
A.V. Skatkov ◽  
◽  
D.Y. Voronin ◽  
LA. Skatkov ◽  
◽  
...  
Keyword(s):  
System Performance ◽  
Structural Unit ◽  
Degradation Rate ◽  
Integrated Approach ◽  
Computational Experiments ◽  
Monitoring Systems ◽  
Queuing Systems ◽  
Functional Logic ◽  
Analytical Relations ◽  
Logic Component

The features of the modeling of degradation faults of the primary measurers of monitoring systems and networks based on their basis are considered. An integrated approach to modeling invited to perform on the basis of the use and development of analytical relations obtained for queuing systems. For this purpose it has been proposed a new functional logic component – degradator, which is the minimum structural unit of the simulation. The results of computational experiments for the purpose of estimating the degree of influence the degradation rate parameters on the system performance are given in the paper.

scholarly journals ASSESSMENT OF COASTAL VULNERABILITY BASED ON THE USE OF INTEGRATED LOW-COST MONITORING APPROACH AND BEACH MODELLING: TWO ITALIAN STUDY

2020 ◽  
pp. 13
Author(s):  
Renata Archetti ◽  
Maria Gabriella Gaeta ◽  
Fabio Addona ◽  
Leonardo Damiani ◽  
Alessandra Saponieri ◽  
...  
Keyword(s):  
Low Cost ◽  
Integrated Approach ◽  
Video Monitoring ◽  
Monitoring Systems ◽  
Swash Zone ◽  
Coastal Vulnerability ◽  
Italian Study ◽  
Shoreline Evolution ◽  
Low Costs ◽  
Run Up

The use of video-monitoring techniques is significantly increased due to the diffusion of high-resolution cameras at relatively low-costs and they are largely used to estimate the shoreline evolution and wave run-up, as important coastal state indicators to be monitored and predicted for the assessment of flooding and erosion risks. In this work, we present an integrated approach based on the results from the low-cost video monitoring systems and the numerical modeling chain by means of SWAN and XBeach to accurately simulate and predict the swash zone processes.Recorded Presentation from the vICCE (YouTube Link): https://youtu.be/nLGNneJzmIU

scholarly journals An Algorithm That Predicts CSI to Allocate Bandwidth for Healthcare Monitoring in Hospital's Waiting Rooms

2012 ◽  
Vol 2012 ◽  
pp. 1-13 ◽  
Author(s):  
Di Lin ◽  
Fabrice Labeau
Keyword(s):  
System Performance ◽  
Bandwidth Allocation ◽  
Efficient Solution ◽  
Monitoring Systems ◽  
Central Unit ◽  
Imperfect Csi ◽  
Negative Effects ◽  
Channel State ◽  
State Information ◽  
Healthcare Monitoring

In wireless healthcare monitoring systems, bandwidth allocation is an efficient solution to the problem of scarce wireless bandwidth for the monitoring of patients. However, when the central unit cannot access the exact channel state information (CSI), the efficiency of bandwidth allocation decreases, and the system performance also decreases. In this paper, we propose an algorithm to reduce the negative effects of imperfect CSI on system performance. In this algorithm, the central unit can predict the current CSI by previous CSI when the current CSI is not available. We analyze the reliability of the proposed algorithm by deducing the standard error of estimated CSI with this algorithm. In addition, we analyze the efficiency of the proposed algorithm by discussing the system performance with this algorithm.

Solid Oxide Fuel Cell (SOFC) Development in Denmark

2007 ◽  
Vol 539-543 ◽  
pp. 1309-1314 ◽  
Author(s):  
Søren Linderoth ◽  
Peter Halvor Larsen ◽  
M. Mogensen ◽  
Peter V. Hendriksen ◽  
N. Christiansen ◽  
...  
Keyword(s):  
Fuel Cell ◽  
Degradation Rate ◽  
National Laboratory ◽  
Systems Design ◽  
Porous Metal ◽  
Integrated Approach ◽  
System Modelling ◽  
Design Development ◽  
Component Level ◽  
Standard Cells

The SOFC technology under development at Risø National Laboratory (RISØ) and Topsoe Fuel Cell A/S (TOFC) is based on an integrated approach ranging from basic materials research on single component level over development of cell and stack manufacturing technology to system studies and modelling. The effort also comprises an extensive cell and stack testing program. Systems design, development and test is pursued by TOFC in collaboration with various partners. The standard cells are thin and robust with dimensions of 12 x 12 cm2 and cell stacks are based on internal manifolding. Production of cells is being up-scaled continuously. The durability of the standard stack design with standard cells has been tested for more than 13000 hours including nine full thermal cycles with an overall voltage degradation rate of about 1% per 1000 hours. Recently, the degradation rate has been significantly reduced by introduction of improved stack component materials. 75-cell stacks in the 1+ kW power range have been tested successfully. Stacks have been delivered in a pre-reduced state to partners and tested successfully in test systems with natural gas as fuel. The consortium of TOFC and RISØ has an extended program to develop the SOFC technology all the way to a marketable product. Stack and system modelling including cost optimisation analysis is used to develop multi kW stack modules for operation in the temperature range 700-850oC. To ensure the emergence of cost-competitive solutions, a special effort is focused on larger anode-supported cells as well as a new generation of SOFCs based on porous metal supports and new electrode and electrolyte materials. The SOFC program comprises development of next generation of cells and multi stack modules for operation at lower temperature with increased durability and mechanical robustness in order to ensure long-term competitiveness.

scholarly journals A Recommendation System for People Analytics

2021 ◽  
Vol 12 (2) ◽  
pp. 1-12
Author(s):  
Nan Wang ◽  
Evangelos Katsamakas
Keyword(s):  
Machine Learning ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
System Performance ◽  
Recommendation System ◽  
Business Value ◽  
Computational Experiments ◽  
Hybrid Architecture ◽  
Learning Approaches

Companies seek to leverage data and people analytics to maximize the business value of their talent. This article proposes a recommendation system for personalized workload assignment in the context of people analytics. The article describes the system, which follows a novel two-level hybrid architecture. We evaluate the system performance in a series of computational experiments and discuss future extensions. Overall, the proposed system could create significant business value as a decision support system that could help managers make better decisions. The article demonstrates how computational and machine learning approaches can complement humans in improving the performance of organizations.

The Nature and Crystal Growth of Otoconia in the Rat

1975 ◽  
Vol 84 (1) ◽  
pp. 22-36 ◽  
Author(s):  
Muriel D. Ross ◽  
Donald R. Peacor
Keyword(s):  
Crystal Growth ◽  
Structural Unit ◽  
Integrated Approach ◽  
Nucleation And Growth ◽  
Organic Substrate ◽  
Crystal Nucleation ◽  
Chemical Factor ◽  
Adult Type ◽  
Inorganic Crystal ◽  
Parallel Growth

Several types of otoconia are present in the macular regions of young rats. These include multifaceted, transitional and rounded body forms, some variant otoconia and a few rhombohedrons. The adult form has typically rounded but nonsmooth body surfaces and pointed ends with three planar faces. The multifaceted and transitional otoconia fracture and etch more readily than do the adult type. The differences in properties of the otoconia are considered in the light of known facts concerning inorganic crystal nucleation and growth. This integrated approach indicates that many otoconia originate by seeding of multiple subunits on an organic substrate and develop by the mechanism of parallel growth. The basic structural unit is the rhombohedron. By analogy to inorganic crystals of calcite, it would seem that the typical otoconium grows on the end faces but growth on the side faces is suppressed by some unknown chemical factor. Some otoconia are exceptions, evidently seeding and growing in the pure rhombohedral form. Decalcification of cleaved otoconia shows that organic material is incorporated during growth. The observations are interpreted to indicate that organic substance influences growth and achievement of the adult otoconial form.

Self-organizing behavior in collective choice models: laboratory experiments

2016 ◽  
Vol 54 (2) ◽  
pp. 288-303 ◽  
Author(s):  
Santiago Arango ◽  
Erik R. Larsen ◽  
Ann van Ackere
Keyword(s):  
System Performance ◽  
Information Diffusion ◽  
Laboratory Experiments ◽  
Empirical Work ◽  
Individual Performance ◽  
Queuing Systems ◽  
Limited Information ◽  
Content Type ◽  
Individual Level ◽  
The Individual

Purpose – The purpose of this paper is to consider queuing systems where captive repeat customers select a service facility each period. Are people in such a distributed system, with limited information diffusion, able to approach optimal system performance? How are queues formed? How do people decide which queue to join based on past experience? The authors explore these questions, investigating the effect of information availability, as well as the effect of heterogeneous facility sizes, at the macro (system) and micro (individual performance) levels. Design/methodology/approach – Experimental economics, using a queuing experiment. Findings – The authors find little behavioural difference at the aggregate level, but observe significant variations at the individual level. This leads the authors to the conclusion that it is not sufficient to evaluate system performance by observing average customer allocation and sojourn times at the different facilities; one also needs to consider the individuals’ performance to understand how well the chosen design works. The authors also observe that better information diffusion does not necessarily improve system performance. Practical/implications – Evaluating system performance based on aggregate behaviour can be misleading; however, this is how many systems are evaluated in practice, when only aggregate performance measures are available. This can lead to suboptimal system designs. Originality/value – There has been little theoretical or empirical work on queuing systems with captive repeat customers. This study contributes to the understanding of decision making in such systems, using laboratory experiments based on the cellular automata approach, but with all agents replaced by humans.

A Framework for Using Dynamic Modeling to Support Lean Sustainment in a Complex Setting

2021 ◽  
pp. 91-110
Author(s):  
Marc Haddad ◽  
Rami Otayek
Keyword(s):  
Systems Thinking ◽  
System Performance ◽  
Demand Uncertainty ◽  
Integrated Approach ◽  
Dynamics Modeling ◽  
Work In Process ◽  
Simulation Results ◽  
Thinking Tools

This chapter proposes a framework for integrating lean and systems thinking tools to explore the dynamics of lean implementations in manufacturing. The value of this integrated approach is in supplementing the operational level principles of lean with the strategic outlook of systems thinking to mitigate adverse impacts of operational complexity on system performance. In particular, the focus of the framework is to enable the sustainment of lean gains in the long-term, a major challenge in manufacturing settings. The application of the framework is illustrated with a case study of a lean implementation for reducing work-in-process (WIP) at a clothing manufacturer dealing with a number of operational complexities such as demand uncertainty, a high product mix and inefficient processes. The case study highlights the usefulness of system dynamics modeling in revealing counterintuitive system behaviors that could compromise the success of the lean initiative. The simulation results demonstrate the application of the framework for sustaining lean implementations in practice.

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