A multiple intelligent software agent based technique for improving radar detection of low observable small craft in sea clutter

2005 ◽  
Author(s):  
E.J. Hughes
Keyword(s):  
Software Agent ◽  
Radar Detection ◽  
Sea Clutter ◽  
Agent Based ◽  
Intelligent Software ◽  
Small Craft

A Proposed Model of an Intelligent Software Agent for Marketing Education (ISAME)

2021 ◽  
pp. 529-537
Author(s):  
Hussein Moselhy Sayed Ahmed
Keyword(s):  
Software Agent ◽  
Interactive Software ◽  
Initial Test ◽  
Training And Education ◽  
Agent Based ◽  
Marketing Education ◽  
Education Resources ◽  
Intelligent Software ◽  
Proposed Model ◽  
Digital Environments

The purpose of this article is to illustrate the advantages of intelligent software agent technologies in order to facilitate the location and customization of appropriate marketing education resources, as well as to foster collaboration between individuals within digital environments. In order to do this, this article discusses how such intelligent and interactive software can translate into a better educational environment for marketing curriculum, particularly e-marketing courses. The authors present a conceptual model for managing marketing training and education using intelligent software agent, based on extant literature. So, this article presents some initial test of the proposed model of ISAME usage in marketing education in e-marketing class.

A Proposed Model of an Intelligent Software Agent for Marketing Education (ISAME)

2018 ◽  
Vol 1 (1) ◽  
pp. 20-30
Author(s):  
Hussein Moselhy Sayed Ahmed
Keyword(s):  
Educational Environment ◽  
Software Agent ◽  
Interactive Software ◽  
Training And Education ◽  
Agent Based ◽  
Marketing Education ◽  
Education Resources ◽  
Intelligent Software ◽  
Proposed Model ◽  
Digital Environments

The purpose of this article is to illustrate the advantages of intelligent software agent technologies in order to facilitate the location and customization of appropriate marketing education resources, as well as to foster collaboration between individuals within digital environments. In order to do this, this article discusses how such intelligent and interactive software can translate into a better educational environment for marketing curriculum, particularly e-marketing courses. The authors present a conceptual model for managing marketing training and education using intelligent software agent, based on extant literature. So, this article presents some initial test of the proposed model of ISAME usage in marketing education in e-marketing class.

Functional Safety of Distributed Embedded Control Systems

2012 ◽  
pp. 132-170 ◽  
Author(s):  
Atef Gharbi ◽  
Hamza Gharsellaoui ◽  
Mohamed Khalgui ◽  
Samir Ben Ahmed
Keyword(s):  
Control Systems ◽  
Distributed Control ◽  
Software Agent ◽  
Software Components ◽  
Functional Safety ◽  
Embedded Control ◽  
Agent Based ◽  
Embedded Control Systems ◽  
Intelligent Software ◽  
Execution Environment

This chapter deals with the functional safety of distributed embedded control systems following the component-based approach. The authors define a new concept of components called “Control Component” (CC) to cover all of the used technologies in industry. To guarantee the functional safety of distributed control software components, the authors define an agent-based architecture where an intelligent software agent is deployed in a device of the execution environment in order to apply local reconfiguration scenarios, and a coordination agent is used for inter-devices coordination in order to allow coherent reconfigurations.

Software agent-based directed diffusion in wireless sensor network

2008 ◽  
Vol 38 (3-4) ◽  
pp. 161-174 ◽  
Author(s):  
Elhadi Shakshuki ◽  
Haroon Malik ◽  
Mieso K. Denko
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Software Agent ◽  
Wireless Sensor ◽  
Directed Diffusion ◽  
Agent Based

Radar Detection of Small Target in Sea Clutter Using Orthogonal Projection

2019 ◽  
Vol 16 (3) ◽  
pp. 382-386 ◽  
Author(s):  
Yong Yang ◽  
Shun-Ping Xiao ◽  
Xue-Song Wang
Keyword(s):  
Orthogonal Projection ◽  
Small Target ◽  
Radar Detection ◽  
Sea Clutter

scholarly journals AN INTEGRATED FRAMEWORK UTILISING SOFTWARE AGENT REASONING AND ONTOLOGY MODELS FOR SENSOR BASED BUILDING MONITORING

2015 ◽  
Vol 21 (3) ◽  
pp. 356-375 ◽  
Author(s):  
Michael Dibley ◽  
Haijiang Li ◽  
Yacine Rezgui ◽  
John Miles
Keyword(s):  
Decision Making ◽  
Sensor Network ◽  
Explicit Knowledge ◽  
Knowledge Bases ◽  
Software Agent ◽  
Facility Management ◽  
Good Opportunity ◽  
Integrated Framework ◽  
Intelligent Software ◽  
Building Monitoring

Smart building monitoring demands a new software infrastructure that can elaborate building domain knowledge in order to provide advanced and intelligent functionalities. Conventional facility management (FM) software tools lack semantically rich components, and that limits the capability of supporting software for automatic information sharing, resource negotiation and to assist in timely decision making. Recent hardware innovation on compact ZigBee sensor devices, software developments on ontology and intelligent software agent paradigms provide a good opportunity to develop tools that can further improve current FM practices. This paper introduces an integrated framework which includes a ZigBee based sensor network and underlying multi-agent software (MAS) components. Several different types of sensors were integrated with the ZigBee host devices to produce compact multi-functional sensor units. The MAS framework incorporates the belief-desire-intention (BDI) abstraction with ontology support (provided via explicit knowledge bases). The different software agent types have been developed to work with sensor hardware to conduct resource negotiation, to optimize battery utilization, to monitor building space in a non-intrusive way and to reason about its usage through real time ontology model queries. The deployed sensor network shows promising intelligent characteristics, and it has been applied in several on-going research projects as an underlying decision making service. More applications and larger deployments have been planned for future work.

Intelligent Software Agents in Electronic Commerce

2011 ◽  
pp. 104-112 ◽  
Author(s):  
Mahesh S. Raisinghani ◽  
Christopher Klassen ◽  
Lawrence L. Schkade
Keyword(s):  
Intelligent Agents ◽  
Software Agents ◽  
Intelligent Agent ◽  
Software Agent ◽  
Reasoning Strategies ◽  
Intelligent Software ◽  
Collaborative Behavior ◽  
Intelligent Software Agents ◽  
The Status ◽  
High Level

Although there is no firm consensus on what constitutes an intelligent agent (or software agent), an intelligent agent, when a new task is delegated by the user, should determine precisely what its goal is, evaluate how the goal can be reached in an effective manner, and perform the necessary actions by learning from past experience and responding to unforeseen situations with its adaptive, self-starting, and temporal continuous reasoning strategies. It needs to be not only cooperative and mobile in order to perform its tasks by interacting with other agents but also reactive and autonomous to sense the status quo and act independently to make progress towards its goals (Baek et al., 1999; Wang, 1999). Software agents are goal-directed and possess abilities such as autonomy, collaborative behavior, and inferential capability. Intelligent agents can take different forms, but an intelligent agent can initiate and make decisions without human intervention and have the capability to infer appropriate high-level goals from user actions and requests and take actions to achieve these goals (Huang, 1999; Nardi et al., 1998; Wang, 1999). The intelligent software agent is a computational entity than can adapt to the environment, making it capable of interacting with other agents and transporting itself across different systems in a network.

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