Incident Detection Optimization and Data Quality Control PDF Download

Author: César Augusto Quiroga
Publisher:
ISBN:
Category : Express freeways
Languages : en
Pages : 92

View

Book Description

Author: E. Shahbazian
Publisher: IOS Press
ISBN: 1607501244
Category : Computers
Languages : en
Pages : 832

View

Book Description
Data Fusion is a very broad interdisciplinary technology domain. It provides techniques and methods for; integrating information from multiple sources and using the complementarities of these detections to derive maximum information about the phenomenon being observed; analyzing and deriving the meaning of these observations and predicting possible consequences of the observed state of the environment; selecting the best course of action; and controlling the actions. Here, the focus is on the more mature phase of data fusion, namely the detection and identification / classification of phenomena being observed and exploitation of the related methods for Security-Related Civil Science and Technology (SST) applications. It is necessary to; expand on the data fusion methodology pertinent to Situation Monitoring, Incident Detection, Alert and Response Management; discuss some related Cognitive Engineering and visualization issues; provide an insight into the architectures and methodologies for building a data fusion system; discuss fusion approaches to image exploitation with emphasis on security applications; discuss novel distributed tracking approaches as a necessary step of situation monitoring and incident detection; and provide examples of real situations, in which data fusion can enhance incident detection, prevention and response capability. In order to give a logical presentation of the data fusion material, first the general concepts are highlighted (Fusion Methodology, Human Computer Interactions and Systems and Architectures), closing with several applications (Data Fusion for Imagery, Tracking and Sensor Fusion and Applications and Opportunities for Fusion).

Author: Robert E. Brydia
Publisher:
ISBN:
Category : Highway communications
Languages : en
Pages : 114

View

Book Description

Author: César Augusto Quiroga
Publisher:
ISBN:
Category : Express freeways
Languages : en
Pages : 40

View

Book Description
Project 0-4745 developed a geographic information system (GIS)-based approach for the determination of patterns in the spatial and temporal distribution of incidents along freeway corridors. The research documented incident detection and data archival at several transportation management centers (TMCs) in Texas, a process to develop a data model and geodatabase of intelligent transportation system (ITS) equipment and archived ITS data, and a process to determine patterns in the spatial and temporal distribution of freeway incidents. This report contains products 0-4745-P3 (which includes detailed incident evaluation procedures) and 0- 4745-P4 (which addresses process definitions and implementation recommendations) that were developed during the second phase of research project 0-4745.

Author: Ramakant Bhardwaj
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3111331180
Category : Computers
Languages : en
Pages : 617

View

Book Description
The book provides comprehensive and cognitive approach to building and deploying sophisticated information systems. The book utilizes non-linear optimization techniques, fuzzy logic, and rough sets to model various real-world use cases for the digital era. The hybrid information system modeling handles both qualitative and quantitative data and can effectively handle uncertainty and imprecision in the data. The combination of non-linear optimization mechanisms, fuzzy logic, and rough sets provides a robust foundation for next-generation information systems that can fulfill the demands of adaptive, aware, and adroit software applications for the knowledge era. The book emphasizes the importance of the hybrid approach, which combines the strengths of both mathematical and AI techniques, to achieve a more comprehensive and effective modeling process. Hybrid information system modeling techniques combine different approaches, such as fuzzy logic, rough sets, and neural networks, to create models that can handle the complexity and uncertainty of real-world problems. These techniques provide a powerful tool for modeling and analyzing complex systems, and the applications of hybrid information system modeling demonstrate their potential for solving real-world problems in various fields.

Author: Fayma Mushtaq
Publisher: Springer Nature
ISBN: 303145300X
Category : Science
Languages : en
Pages : 443

View

Book Description
This book aims to provide a comprehensive study on various aspects of environmental pollution dynamics using geospatial technology and modeling techniques. The utility of geospatial technology will be demonstrated for the effective study of environmental pollution, as space and location are very important for effective environmental health surveillance. The timeliness of the work is due to the increasing relevance of geospatial technology applications in environmental health investigations. Moreover, different types of pollution are covered in detail, including air and soil, all of which are analyzed using latest Remote Sensing and GIS technology. The basics of environmental pollution and its impacts are covered in the book's first part, while the second part focuses on the use of geospatial technology in investigating and modeling various instances of environmental pollution. The third part discusses policy measures for mitigating environmental pollution hazards, using geospatial analyses and data to craft informed policy decisions. The primary audience for the book is researchers working in the field of environmental pollution with incorporation of geospatial technology, including upper-level undergraduate and graduate students taking courses in remote sensing and its environmental applications. The secondary audience is academicians, planners, environmentalists and policymakers working in the field of environment protection and management.

Author: Lawrence A. Jentgen
Publisher: American Water Works Association
ISBN: 158321397X
Category : Electronic books
Languages : en
Pages : 174

View

Book Description
This project focused on the system in Jacksonville, FL (JEA ), which is supplied by ground water with high service pumping. Using the model developed by AwwaRF's EWQMS projects, this project extends prior experience to software implementation, installation, testing, calibration, and daily operations associated with an optimization system, particularly day-to-day optimization. JEA's Operations Optimization System (OOS) was designed to operate, in real-time, in conjunction with JEA's Supervisory Control and Data Acquisition (SCADA) system. Jointly sponsored by AWWRF & JEA Water & Wastewater Treatment

Author: Jose A. Romagnoli
Publisher: CRC Press
ISBN: 1439854874
Category : Science
Languages : en
Pages : 637

View

Book Description
Introduction to Process Control, Second Edition provides a bridge between the traditional view of process control and the current, expanded role by blending conventional topics with a broader perspective of more integrated process operation, control, and information systems. Updating and expanding the content of its predecessor, this second edition

Author: Michele Pinto
Publisher: Packt Publishing Ltd
ISBN: 180461209X
Category : Computers
Languages : en
Pages : 228

View

Book Description
Discover actionable steps to maintain healthy data pipelines to promote data observability within your teams with this essential guide to elevating data engineering practices Key Features Learn how to monitor your data pipelines in a scalable way Apply real-life use cases and projects to gain hands-on experience in implementing data observability Instil trust in your pipelines among data producers and consumers alike Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionIn the age of information, strategic management of data is critical to organizational success. The constant challenge lies in maintaining data accuracy and preventing data pipelines from breaking. Data Observability for Data Engineering is your definitive guide to implementing data observability successfully in your organization. This book unveils the power of data observability, a fusion of techniques and methods that allow you to monitor and validate the health of your data. You’ll see how it builds on data quality monitoring and understand its significance from the data engineering perspective. Once you're familiar with the techniques and elements of data observability, you'll get hands-on with a practical Python project to reinforce what you've learned. Toward the end of the book, you’ll apply your expertise to explore diverse use cases and experiment with projects to seamlessly implement data observability in your organization. Equipped with the mastery of data observability intricacies, you’ll be able to make your organization future-ready and resilient and never worry about the quality of your data pipelines again.What you will learn Implement a data observability approach to enhance the quality of data pipelines Collect and analyze key metrics through coding examples Apply monkey patching in a Python module Manage the costs and risks associated with your data pipeline Understand the main techniques for collecting observability metrics Implement monitoring techniques for analytics pipelines in production Build and maintain a statistics engine continuously Who this book is for This book is for data engineers, data architects, data analysts, and data scientists who have encountered issues with broken data pipelines or dashboards. Organizations seeking to adopt data observability practices and managers responsible for data quality and processes will find this book especially useful to increase the confidence of data consumers and raise awareness among producers regarding their data pipelines.

Author: Wael A. Altabey
Publisher: CRC Press
ISBN: 104013209X
Category : Technology & Engineering
Languages : en
Pages : 228

View

Book Description
As transport networks become more congested, there is a growing need to adopt policies that manage demand and make full use of existing assets. Advances in information technology are now such that intelligent transportation systems (ITS) offer real potential to meet this challenge by monitoring current conditions, predicting what might happen in the future, and providing the means to manage transport proactively and on an area-wide basis. Modeling and Simulation of Intelligent Transportation Systems provides engineers, professionals, and researchers an intuitive appreciation for ITS theory, related sensor technologies, and other practical applications, including traffic management, safety, design optimization, and sustainability. Provides the theory and practical applications of Intelligent Transport Theory which will be helpful as highway construction recedes as a sustainable long-term solution. Includes several case studies that illustrate the concepts presented throughout.