'Soft information' diaporamas de présentation

Enterprise Information Systems

Enterprise Information Systems. Ebtisam AlHarthi. Learning Objectives. *Learn the basic concepts in enterprise information systems. *Determine how to extract information needs for a DSS. *Compare features and capabilities of EIS and DSS.

1.42k views • 38 slides

Recent Advances in Iterative Parameter Estimation

517 views • 37 slides

CHAPTER 8

CHAPTER 8. Enterprise Decision Support Systems. Enterprise Decision Support Systems. DSS to provide enterprise-wide support Executives and other senior level personnel Many decision makers in different locations Enterprise Resource Planning (ERP) systems.

500 views • 37 slides

dr hab. Jerzy Supernat Institute of Administrative Studies University of Wroclaw

Managerial Roles. dr hab. Jerzy Supernat Institute of Administrative Studies University of Wroclaw. Managerial Roles. Henry Mintzberg , The Nature of Managerial Work , Harper & Row 1973 :

446 views • 30 slides

CODED COOPERATIVE TRANSMISSION FOR WIRELESS COMMUNICATIONS

CODED COOPERATIVE TRANSMISSION FOR WIRELESS COMMUNICATIONS. Prof. Jinhong Yuan ??? School of Electrical Engineering and Telecommunications University of New South Wales Sydney, Australia. Cooperative Communications with Superposition Coding. INTRODUCTION SYSTEM MODEL

438 views • 29 slides

Business and IS Performance ( IS 6010 )

Business and IS Performance ( IS 6010 ). MBS BIS 2010 / 2011 14 th October 2010. Fergal Carton (f.carton@ucc.ie) Accounting Finance and Information Systems. Last week 1. Credit Suisse performance parameters Return on investment (customer), bonus (fund manager)

339 views • 26 slides

Bank Consolidation and Soft Information Acquisition in Small Business Lending

Bank Consolidation and Soft Information Acquisition in Small Business Lending. Conference on Mergers and Acquisitions of Financial Institutions November 30, 2007 Yoshiaki Ogura, Hitotsubashi University Hirofumi Uchida, Wakayama University.

255 views • 25 slides

FMT Modulation for Wireless Communication

FMT Modulation for Wireless Communication. Santosh V Jadhav (Advisor: Prof V M Gadre). Multicarrier System:. Spectral partitioning: -s inc(f) overlapping (OFDM) -Non-overlapping (FMT) OFDM: FMT :. Spectral characteristics:OFDM. Spectral characteristics:FMT.

375 views • 24 slides

Business and IS Performance ( IS 6010 )

Business and IS Performance ( IS 6010 ). MBS BIS 2010 / 2011 28 th October 2010. Fergal Carton (f.carton@ucc.ie) Accounting Finance and Information Systems. Last week. Information sharing Latency issues with technical infrastructure Basic flows of information

298 views • 23 slides

Natural Language Understanding for Soft Information Fusion

Natural Language Understanding for Soft Information Fusion. Stuart C. Shapiro and Daniel R. Schlegel Department of Computer Science and Engineering Center for Multisource Information Fusion And Center for Cognitive Science University at Buffalo, The State University of New York. Outline.

364 views • 22 slides

Turbo-synchronization

Turbo-synchronization. Introduction. Communication systems based on the turbo principle Remarkable performances Ideal synchronization. Transmission System. The Turbo Principle. Compute soft information on the transmitted symbols using an iterative receiver. Soft / Hard Information.

384 views • 22 slides

Turbo Codes for IEEE 802.11n

Turbo Codes for IEEE 802.11n. Marie-Helene Hamon, Olivier Seller France Telecom R&D Claude Berrou, Catherine Douillard, Sylvie Kerouedan ENST Bretagne Brian Edmonston iCODING Technology Inc. Contents. TC for 802.11n Performance

482 views • 20 slides

IS Consulting Process ( IS 6005 )

IS Consulting Process ( IS 6005 ). Masters in Business Information System s 26 th Feb 2010. Fergal Carton Bu siness Information Systems. Last week. Cubes are logical configurations, technically there may be one RDBMS Soft information Very important soft information is not for recording

311 views • 18 slides

Utilizing Soft Information in Image Decoding

Utilizing Soft Information in Image Decoding. Hannes Persson Karlstad. Outline. Background JPEG2000 Soft information Experiments Conclusions & future work. Soft Information in Image Decoding. General purpose Make end-points aware of channel conditions Reduce retransmissions

329 views • 18 slides

Local Director Talent and Board Governance (with Diana Knyazeva)

348 views • 16 slides

Concurrent Reasoning with Inference Graphs

Concurrent Reasoning with Inference Graphs. Daniel R. Schlegel Stuart C. Shapiro. Department of Computer Science and Engineering. Problem Summary. Inference Graphs. Concurrency and Scheduling. Example:. Extend Propositional Graphs Adds channels for information flow:

127 views • 1 slides