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Customizable Embedded System Architectures

Customizable Embedded System Architectures

Customizable Embedded System Architectures. Peter Petrov and Alex Orailoglu. University of California, San Diego. Embedded Processors Market. Embedded processors occupy more than 90% of the entire processor market

By sumi
(133 views)

Ontology-driven VoiceXML Dialogues Generation

Ontology-driven VoiceXML Dialogues Generation

Ontology-driven VoiceXML Dialogues Generation. Marta Gatius, Meritxell González TALP Research Center, Technical University of Catalonia, Barcelona Berlin, 2004. Outline. Introduction Using an ontology in the dialogue design The system’s messages and grammars Describing an example

By zlata
(116 views)

ADPAC

ADPAC

ADPAC. SVCommands Command Language Overview An overview of a training course…. Presentation Purpose. Based on many years of use Built on language learning techniques Starts with a simplified command set Sets a foundation for further learning. Fundamental Purpose .

By dennis-greer
(114 views)

ICON: Incast Congestion Control using Packet Pacing in Datacenter Networks

ICON: Incast Congestion Control using Packet Pacing in Datacenter Networks

ICON: Incast Congestion Control using Packet Pacing in Datacenter Networks. Hamed Rezaei, Muhammad Usama Chaudhry, Hamidreza Almasi, and Balajee Vamanan. Datacenter applications and traffic. Datacenters  de facto platform to access Internet data

By deatherage
(1 views)

Middleware for Wireless Sensor Networks

Middleware for Wireless Sensor Networks

Middleware for Wireless Sensor Networks. By H. Momeni. Middleware for Wireless Sensor Network. Goals. The purpose of this presentation is: find out the challenges with sensor network Comparative investigation of several middlewares

By martinjohn
(1 views)


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Knowledge Application

Knowledge Application

Knowledge Application. Marketing is about using knowledge to understand and satisfy customer needs Early successes were mass marketing brands (e.g. Coca Cola, Wrigleys) Tedlow proposes: mass marketing demands knowledge of Exploiting economies of scale Re-investment of profits into promotion

By klaus (100 views)

Knowledge Acquisition and Application

Knowledge Acquisition and Application

Knowledge Acquisition and Application. Chapter 6. Knowledge Management Cycle. Knowledge Acquisition: Reuse Promote efficiency Lead to Innovation More effective ways of doing things Knowledge Application Application of knowledge is filtered through human brain and applied to job tasks.

By serina-brennan (177 views)

General Computer Application Knowledge

General Computer Application Knowledge

General Computer Application Knowledge. Is There a Difference Between the Genders?. Laurie J. Patterson, Ed.D. University of North Carolina Wilmington. Background Theories Computer Usage Game Examples Computer Competency Study Class Format Skill Tests Results Surprises?.

By maili (121 views)

Application of Practical Knowledge

Application of Practical Knowledge

Application of Practical Knowledge. Created by BU2 Collins NMCB 14 July 23, 2011. Application of Practical Knowledge. The purpose of this lesson is to help you understand how the information you have learned relates into practical application of planning for a mission. Receiving of Mission.

By etenia (171 views)

Knowledge Application Aplikasi Pengetahuan

Knowledge Application Aplikasi Pengetahuan

Knowledge Application Aplikasi Pengetahuan. Tujuan yang ingin dicapai KM: Penggunaan kembali ( reuse ) pengetahuan untuk efisiensi Inovasi untuk melakukan hal-hal secara lebih efektif. Esensi Pengetahuan.

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Application of Practical Knowledge

Application of Practical Knowledge

Application of Practical Knowledge. Application of Practical Knowledge. The purpose of this lesson is to help you understand how the information you have learned relates into practical application of planning for a mission. Receiving of Mission.

By ann (193 views)

Programming a Knowledge Based Application

Programming a Knowledge Based Application

Programming a Knowledge Based Application Overview Rule-based Intelligent UI “Intelligence” (Knowledge-based system) Inference Engine Working Memory (Facts) Knowledge Base (Rules) Agenda User Interface Rule-based Intelligent UI Inference Engine Working Memory (Facts)

By lotus (677 views)

Programming a Knowledge Based Application

Programming a Knowledge Based Application

2. Overview. . 3. Rule-based Intelligent UI. . . . . . . . Inference Engine. Knowledge Base (Rules). WorkingMemory (Facts). User Interface. Agenda. .

By betty_james (369 views)

HUB Application for Managing Experimental Knowledge

HUB Application for Managing Experimental Knowledge

HUB Application for Managing Experimental Knowledge. Girish Joglekar , Arun Giridhar , Michael McClennan , George Howlett , Gintaras V. Reklaitis. School of Chemical Engineering, ITaP Purdue University. Outline. Requirements of experimental data management Workflows

By zada (89 views)

Oasis: A Practical Application of Knowledge Management

Oasis: A Practical Application of Knowledge Management

Oasis: A Practical Application of Knowledge Management. Pegi Newhouse Director, E-Communications Azurix. Purpose. What is the Purpose of the Intranet?. Share What We Know Intranets give employees a place to input Leverage Existing Knowledge

By basil-turner (96 views)