Jul 05, 2020

Managing Dynamic Contexts Using Failure Driven Stochastic

managing dynamic contexts using failure driven stochastic

Managing Dynamic Contexts Using Failure-Driven Stochastic Models Nikita A. Sakhanenko and George F. Luger Dept. of Computer Science, Univ. of New Mexico Albuquerque, New Mexico Carl R. Stern Management Sciences, Inc. Albuquerque, New Mexico Abstract We describe an architecture for representing and managing

Managing Dynamic Contexts Using Failure-Driven Stochastic ...

Managing Dynamic Contexts Using Failure-Driven Stochastic Models

Managing Dynamic Contexts Using Failure-Driven Stochastic ...

CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): We describe an architecture for representing and managing context shifts that supports dynamic data interpretation. This architecture utilizes two layers of learning and three layers of control for adapting and evolving new stochastic models to accurately represent changing and evolving situations.

R.: Managing dynamic contexts using failure-driven ...

The dynamic and stochastic vehicle routing problem (DSVRP) can be modelled as a stochastic program (SP). In a two-stage SP with recourse model, the first stage minimizes the a priori routing plan cost and the second stage minimizes the cost of corrective actions, performed to deal with changes in the inputs. To deal with the problem, approaches based either on stochastic modelling or on ...

A survey on dynamic and stochastic vehicle routing problems

The context-sensitive stochastic modeling system proposed in this paper has the multi-layer architecture illustrated in Fig. 2. Using a knowledge-based model Fig.2. A schematic illustration of the failure-driven architecture of our system.

On methods for studying stochastic disease dynamics

Commonly, modelling of stochastic populations is performed using integer-based event-driven models (Gillespie 1976; Renshaw 1991), mimicking the supposed behaviour of the real system. Such methods of simulation generally allow a range of complex biologically realistic behaviour to be incorporated in the underlying model and offer an intuitive modelling framework to many applied researchers ...

Hamiltonian dynamics of the SIS epidemic model with ...

This context calls for real-time decision support in vehicle routing, motivating a version of the VRP, the so-called dynamic and stochastic vehicle routing problem. The DSVRP is a generalization of the VRP, where parts or all necessary information regarding inputs is stochastic and the true values become available at runtime only.

6 strategies for managing and improving team dynamics

By using both deterministic and stochastic models, we analyze the response and dynamics at the single-cell level and compare them to the global response at the population level. Our results show how fluctuations interfere with the synchronization of the cell activation and lead to a bimodal phenotypic distribution. In this context, we introduce the concept of precision in order to characterize ...

A Stochastic Model for Adaptive Behavior in a Dynamic ...

Management’s failure to clarify the line between unnecessary service and legitimate preventive maintenance, coupled with consumer ignorance, left employees to chart their own courses through a ...

Fast strong approximation Monte-Carlo schemes for ...

Stochastic-dynamic modelling of farm-level investments under uncertainty. ... We find it more straightforward to use stochastic programming directly. Instead of approximating the payoff matrix with a regression function as in Least Squares Monte Carlo simulation, we approximate the Monte Carlo fan based on tree reduction, which is more transparent than Least Squares Monte Carlo simulation ...

Stochastic - Wikipedia

Organizations implementing projects in less developed nations must confront and resolve numerous challenges not typically encountered by those organizations realizing projects in more developed nations. This article--a summary of a larger, critical study titled "Project Planning for Developing Countries: The Impact of Imperious Rationality"--examines the problems that organizations ...

Bring a dynamic volume back to a healthy state

Energy contracts management by stochastic programming techniques Article in Annals of Operations Research 200(1):1-24 · November 2012 with 62 Reads How we measure 'reads'

Seven causes of project failure - Project Management Institute

Formal Verification of Dynamic and Stochastic Behaviors for Automotive Systems Li Huang , Tian Liang and Eun-Young Kangy School of Data & Computer Science, Sun Yat-Sen University, Guangzhou, China fhuangl223, liangt37g@mail2.sysu.edu.cn yThe Maersk Mc-Kinney Moller Institute, University of Southern Denmark, Denmark eyk@mmmi.sdu.dk Abstract—Formal analysis of functional and non-functional ...

Strategy implementation: What is the failure rate ...

FSLogix Disk Management Utility Reference. 06/28/2019; 2 minutes to read ; In this article. frxcontext.exe allows you to manage FSLogix containers and aid in managing containers by adding context menu's to vhd(x) files. The following commands are executed in an administrator command prompt. Install. Command--install. Description. Install FSLogix container management to the Windows context menu ...

The Agile Supply Chain Management: What is it and why ...

Using external services from the Azure API Management service. 12/15/2016; 8 minutes to read +4; In this article. The policies available in Azure API Management service can do a wide range of useful work based purely on the incoming request, the outgoing response, and basic configuration information. However, being able to interact with external services from API Management policies opens up ...

Team Management Skills from MindTools.com

Organizations in wildly different contexts and competitive situations have firmly embraced agile methodology. But one area is notably absent from this trend: R&D in science-driven businesses.

Near-Optimal Algorithms for the Assortment Planning ...

Further, contributions to crowdfunding projects, even in markets where crowdfunding is driven by altruism, appear to be attracted to quality projects (Burtch et al., 2011), suggesting that the dynamics of crowdfunding may be stable across some contexts. In the analyses to follow, I find support for the contention that funders respond to signals about the quality of the project, regardless of ...

Teach, Learn, and Make with Raspberry Pi – Raspberry Pi

The objectives of this paper are to briefly review basic risk management and analytics concepts, describe their nexus in relation to wildfire response, demonstrate real-world application of analytics to support response decisions and organizational learning, and outline an analytics strategy for the future. Analytics can improve decision-making and organizational performance across a variety ...

A new efficient approach to fit stochastic models on the ...

Data-driven prognostics. Data-driven prognostics usually use pattern recognition and machine learning techniques to detect changes in system states. The classical data-driven methods for nonlinear system prediction include the use of stochastic models such as the autoregressive (AR) model, the threshold AR model, the bilinear model, the projection pursuit, the multivariate adaptive regression ...

Knowledge Management as an important tool in ...

management tools that are used to improve the performance of both the transportation system itself, and individual travelers using this system. ATIS systems provide real-time information regarding incidents, route travel times, and traffic congestion to assist travelers in selecting their best departure time and route choices. Direct benefits of ATIS include reduced travel time and cost ...

Stochastic Modeling Definition - investopedia.com

Personalized Diabetes Management Using Electronic Medical Records, (with N. Kallus, A. Weinstein, and Y. Zhuo), ... Data-driven learning in dynamic pricing using adaptive optimization, (with P. Vayanos), Submitted to Operations Research, 2014. Robust Queueing Theory, (with C. Bandi and N. Youssef), Submitted to Operations Research, 2014. Robust Transient Multi-Server Queues and Feedforward ...

Manufacturing-Remanufacturing Failure-Prone Systems under ...

Che-Castaldo, C., Jenouvrier, S., Youngflesh, C. et al. Pan-Antarctic analysis aggregating spatial estimates of Adélie penguin abundance reveals robust dynamics despite stochastic noise.

Stochastic Wealth Dynamics and Risk Management among a ...

Disk Management Combine Two Partitions in Windows 7/8/10; Disk Management Combine Two Partitions in Windows 7/8/10 . Low disk space makes many users feel upset. But if you use the best partition extender AOMEI Partition Assistant to merge two partitions, everything becomes easier. By Ivy / Last Updated August 2, 2019 Scenario. Below are two scenarios related to disk management combine ...

DECOMPOSITION OF LARGE-SCALE STOCHASTIC OPTIMAL CONTROL ...

For the education context, such operations may include adhering to state and national policies and regulations, balancing budgets, retaining student enrolment details, and managing course schedules and timetables as well as assessment dates. A second dynamic is the adaptive functions of the organization. This is an area that is frequently tasked with developing innovative responses to complex ...

Controlled approximation of the value function in ...

Use of chromatin-modifying agents showed that direct manipulation of chromatin dynamics had a marked effect on the extent of stochastic gene expression. To better understand the molecular mechanism involved in these phenomena, we fitted these data to a two-state model describing the opening/closing process of the chromatin. We found that the differences between clones seemed to be due mainly ...


Managing Dynamic Contexts Using Failure Driven Stochastic



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Managing Dynamic Contexts Using Failure Driven Stochastic