THE STATE OF THE ART AND THE STATE OF THE PRACTICE Exchanging PMESII Data to Support the Effects-Based Approach Topics

نویسندگان

  • Andreas Tolk
  • Daniel Snyder
چکیده

United States Joint Forces Command (USJFCOM) Experimentation Directorate (J9) models the political, military, economic, societal, information, and infrastructure (PMESII) aspects of populations to investigate Effects-Based Approach in coalition environments. Current JC2 systems evolved from the need to more efficiently and effectively exchange data among military organizations; however, forces must now interact with non-governmental organizations under the auspices of the effects-based approach. The universe of discourse that JC2 systems concern themselves is extending beyond what has traditionally been called the battle-space. The J9 uses an Agent-based Simulation (ABS ) called Synthetic Environment for Analysis Simulation (SEAS) to model the nonmilitary aspects of the battle-space. By investigating taxonomies for capturing SEAS generated data in JC3IEDM (Joint Consultation, Command and Control Information Exchange Data Model), developers may be able to extend JC2 systems to include an increased number of non-military data exchange requirements. Hence, by adapting the JC3IEDM to the effects-based approach may accelerate the development of future C4ISR capabilities towards covering a wider spectrum of threats and deployment scenarios. This paper will outline the reasons why ABS may be useful to evolve the JC3IDEM model, and may assist in defining what is meant by taxonomy in the context of web-enabled ABS.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Debt Collection Industry: Machine Learning Approach

Businesses are increasingly interested in how big data, artificial intelligence, machine learning, and predictive analytics can be used to increase revenue, lower costs, and improve their business processes. In this paper, we describe how we have developed a data-driven machine learning method to optimize the collection process for a debt collection agency. Precisely speaking, we create a frame...

متن کامل

Identification and Prioritization of the State-of-the-Art Technologies in the Management of Iranian Public Libraries

Purpose: State-of-the-art technology refers to the best and latest technological advancement possible at a particular time. Today, public libraries play a key role in the various cultural and social spheres of society. Although various technologies can help to fulfill the basic roles of public libraries correctly and completely, their application in the context of these libraries undoubtedly fa...

متن کامل

Videos as Global Networks in the Practice of Migration (An Iranian Case Study)

Network society is an ever-changing robust system expanding new nods as long as they can communicate. Videos, as a source of information and communication, are one of the most strategic nods in this architecture. The present study is a scholarly attempt in investigating the effects of videos on facilitating the process of migration for the Iranian students. To this end, our case studies partici...

متن کامل

Comparison of state-of-the-art atlas-based bone segmentation approaches from brain MR images for MR-only radiation planning and PET/MR attenuation correction

Introduction: Magnetic Resonance (MR) imaging has emerged as a valuable tool in radiation treatment (RT) planning as well as Positron Emission Tomography (PET) imaging owing to its superior soft-tissue contrast. Due to the fact that there is no direct transformation from voxel intensity in MR images into electron density, itchr('39')s crucial to generate a pseudo-CT (Computed Tomography) image ...

متن کامل

A density based clustering approach to distinguish between web robot and human requests to a web server

Today world's dependence on the Internet and the emerging of Web 2.0 applications is significantly increasing the requirement of web robots crawling the sites to support services and technologies. Regardless of the advantages of robots, they may occupy the bandwidth and reduce the performance of web servers. Despite a variety of researches, there is no accurate method for classifying huge data ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2006