A Conceptual Model for Network Decision Support Systems

Bordetsky, Alex; Dolk, Daniel R.

doi:10.1109/hicss.2013.32

Cited by 4 publications

(3 citation statements)

References 20 publications

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“…For example, Bordetsky and Dolk (2013) introduce a three-layered conceptual model for network decision support systems. The model is based on a network of individual and machine agents which communicate and interact via a wireless network in order to solve problems, support decision-making, and make knowledge flow.…”

Section: Literature Reviewmentioning

confidence: 99%

A knowledge flow framework for e-government in Iran

Tajgardoon

Shalmani

Habibi

2016

Information Development

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Iran's fifth Four Year Development Plan (2011 and other high level acts in recent years have paid more attention to the topic of knowledge management. This in turn has encouraged the government agencies to pay special attention to this topic for the development of their regulations and future plans. The information technology field has not been an exception to this trend, and in September 2014 an Administrative and Technical Criteria Act (ATCA) was approved for the development of an agile and effective e-government in Iran. Under Article 40 of ATCA all executive bodies of government are required to design and implement a comprehensive knowledge management system within the next 2 years. In this paper, by developing and using a four-phased methodology, a knowledge flow framework is designed for the development of Iranian e-government, based on the contents of ATCA. The proposed framework specifies a total of 30 horizontal and vertical knowledge flows in five distinct layers: inter-organization, organization, group, role, and machine. These knowledge flows occur among 14 different knowledge agents in the mentioned layers. The subjects of the knowledge packets which are transferred in these knowledge flows are developed based on the articles of ATCA. By presenting such a knowledge flow framework, the role and place of knowledge management systems of the executive bodies in support of the e-government is recognized. Also in this framework the interaction of these knowledge management systems with other knowledge management systems, knowledge agents and knowledge bases is determined.

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Section: Literature Reviewmentioning

confidence: 99%

A knowledge flow framework for e-government in Iran

Tajgardoon

Shalmani

Habibi

2016

Information Development

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“…Knowledge sharing in an organization must happen in the form effective and efficient knowledge flow whose purpose is the delivery of the right knowledge to the right people at right the time and place [1]. In the past years, attempts have been made to model knowledge flow in various fields [2][3][4][5][6][7][8][9][10]. Knowledge sharing in organizations must be implemented under some security policies, and accessibility of people who are not competent enough to use knowledge must be limited or prevented [11].…”

Section: Introductionmentioning

confidence: 99%

Organizational secure knowledge flow model

Tajgardoon

Shalmani

Habibi

2015

2015 7th Conference on Information and Knowledge Technology (IKT)

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with the advance and growth of knowledge management in the past two decades, currently knowledge is regarded as one of the most significant organizational assets. Today the success of businesses is dependent on the value that they give to knowledge and how they attempt to manage it. Hence, in such conditions, knowledge as a valuable asset of the organization must be well-protected.What is managed in knowledge management in organizations is actually not knowledge. What are managed are the knowledgerelated processes thru which knowledge workers interact with each other. Hence, organizational knowledge protection does not mean protecting knowledge, but securing the management of knowledge and making policies about knowledge processes. In this article, the dimensions that affect secure knowledge management is presented as well as a survey of ten approaches to secure knowledge management that have been presented in the literature in recent years. Also a secure knowledge flow model, based on different levels of knowledge confidentiality, process confidentiality, and knowledge worker trust is introduced. This model is presented by formal specification and implemented in an imaginary software organization. The model is then assessed based on a secure system knowledge management framework.

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“…The proposed scheme offered a viable solution for establishing reliable communications between various mobile nodes in emergency situations and was based on the IEEE 802.11s standard [6], [7], [8]. Additionally, Bordetsky and Dolk introduced the concept of a network decision support system (NWDSS) [9], which connected available nodes through wireless ad-hoc networks to aid the decision-making process. Gerla, Lau, and Oh [10] built upon the same concept by proposing the use of content-centric networking (CCN) when emergency wireless ad-hoc networks are needed on the battlefield.…”

Section: Scope and Limitationsmentioning

confidence: 99%

Multi-Sensor Image Fusion for Target Recognition in the Environment of Network Decision Support Systems

Pothitos¹

2015

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Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instruction, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden, to Washington This thesis proposed a concept of distributed management of littoral operations at the tactical level, in which timeliness of information and reduced decision cycles are of critical importance. The use of mesh tactical networks augmented by sensor management, operational databases, and an appropriate level of automation of target recognition can turn the obstacles of land masses in littoral environments into a tactical advantage. Ultimately, this thesis concept aimed to enhance situational awareness by enabling the timely exploitation and dissemination of imagery data from small satellites and unmanned systems at the tactical level.Analyses of simulation and field experimentation results that focused on mobile ad-hoc networks (MANETs)-which connected dissimilar imaging sensors and enabled fusion of captured imagessupported this concept. Mesh tactical radios provided an adequate range and quality of service (QoS) to enable networking of kinetic and non-kinetic assets equipped with imaging or data relaying capabilities and to support dissemination of imagery data. Additionally, multi-spectral image fusion of thermal and visual images for target recognition yielded the best classification performance after the use of speeded-up robust features (SURF) and artificial neural networks (ANNs). SUBJECT TERMS MULTI-SENSOR IMAGE FUSION FOR TARGET RECOGNITION IN THE ENVIRONMENT OF NETWORK DECISION SUPPORT SYSTEMSMichail Pothitos Lieutenant Commander, Hellenic Navy B.S., Hellenic Naval Academy, 1999Submitted in partial fulfillment of the requirements for the degrees of MASTER OF SCIENCE IN COMBAT SYSTEMS TECHNOLOGYand MASTER OF SCIENCE IN SYSTEMS TECHNOLOGY (COMMAND, CONTROL & COMMUNICATIONS)from the NAVAL POSTGRADUATE SCHOOL December 2015Approved

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A Conceptual Model for Network Decision Support Systems

Abstract: We introduce the concept of a network DSS (NWDSS)

Cited by 4 publications

References 20 publications

A knowledge flow framework for e-government in Iran

A knowledge flow framework for e-government in Iran

Organizational secure knowledge flow model

Multi-Sensor Image Fusion for Target Recognition in the Environment of Network Decision Support Systems

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