Incorporating On-Site Activity Involvement And
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AMD Geode™ LX Processors Data Book
AMD Geode™ LX Processors Data Book February 2007 Publication ID: 33234E AMD Geode™ LX Processors Data Book © 2007 Advanced Micro Devices, Inc. All rights reserved. The contents of this document are provided in connection with Advanced Micro Devices, Inc. (“AMD”) products. AMD makes no representations or warranties with respect to the accuracy or completeness of the contents of this publication and reserves the right to make changes to specifications and product descriptions at any time without notice. No license, whether express, implied, arising by estoppel or otherwise, to any intellectual property rights is granted by this publication. Except as set forth in AMD’s Standard Terms and Conditions of Sale, AMD assumes no liability whatsoever, and disclaims any express or implied warranty, relating to its products including, but not limited to, the implied warranty of mer- chantability, fitness for a particular purpose, or infringement of any intellectual property right. AMD’s products are not designed, intended, authorized or warranted for use as components in systems intended for surgical implant into the body, or in other applications intended to support or sustain life, or in any other application in which the failure of AMD’s product could create a situation where personal injury, death, or severe property or environmental damage may occur. AMD reserves the right to discontinue or make changes to its products at any time without notice. Contacts www.amd.com Trademarks AMD, the AMD Arrow logo, AMD Athlon, AMD Geode, and combinations thereof, and 3DNow! and GeodeLink, are trademarks of Advanced Micro Devices, Inc. AMD-K6 is a registered trademark of Advanced Micro Devices, Inc. -
System/370 Model 145 Reference Summary
System/370 Model 145 Reference Summary S229-2239-1 IBM Corporation, Field Support Documentation, Dept 927, Rochester, Minnesota 55901 PREFACE This publication is primarily intended for customer engineers servicing System/370 Model 145. Second Edition (September 1972) This is a major revision of, and makes 8229-2239-0 obsolete. Address any comments concerning the contents of this publication to: IBM, Field Support Documentation, Dept 927, Rochester, Minnesota 55901 © International Business Machines Corporation 1972 CONTENTS Section 1 - Control Words Branch and Module Switch Word "O" . 1. 1 Branch Word . 1.2 GA Function Charts . 1.3 GA Function Charts . 1.4 GA Function Charts . 1.5 Branch and Link or Return Word . 1.6 Word Move Word Version"O" . 1. 7 Word Move Word Version "1" . 1.8 Storage Word, Non K-Addressable . 1.9 Storage Word, K-Addressable . 1.10 Arithmetic Word 10 Byte Version 1.11 Arithmetic Word, Fullword Version 1.12 Arithmetic Word, 11 Direct ByteVersion . 1.13 Arithmetic Word, 10/11 Indirect Byte Version . 1.14 ALU Entry Gating 1.15 Stat Set Symbols . 1.15 BranchSymbols . 1.15 Arithmetic Word Chart Selection 1.16 Address Formation Chart 1.16 Control Word Chart Selection 1.16 Section 2 - CPU 3145 CPU Data Flow . 2.1 I-Cycles Data Flow . 2.2 I-Cycles . 2.3 PSW Locations . 2.3 Expanded Local Storage . 2.3 I-Cycles . 2.3 I-Cycles Control Line Generation . 2.4 Control Word . 2.4 Control Register Decode . 2.4 iii ECCL Board Layout ............ 2.5 Data Bit Location Chart .......... 2.5 Common Test Points ........... -
Prioritization 4.0
Prioritization 4.0 NCDOT Strategic Prioritization Office of Transportation July 2015 Agenda • Background • General Overview of Changes From P3.0 To P4.0 • Scoring and Scaling • Peak ADT • In-Depth Review of P4.0 Highway Criteria, Measures and Weights • In-Depth Review of P4.0 Non-Highway Criteria, Measures and Weights • Timeline/Schedule • SPOT On!ine • Local Input Methodologies and Best Practices 2 Background NCDOT is responsible for 6 modes of transportation: • Aviation (74 publicly‐owned airports) • Bicycle and Pedestrian • Ferries –2nd largest system in US (behind Washington) • Highways – Maintains 80,000 miles of highways (2nd only to Texas) • Public Transportation • Rail Annual Budget of approx. $4.1 B (federal dollars account for 25% of total budget) 3 Background Key Partners, as shown on colorful map below, include: • 19 Metropolitan Planning Organizations (MPOs) • 18 Rural Planning Organizations (RPOs) • 14 Field Offices (Divisions) *Unifour RPO has dissolved into adjacent MPOs 4 Strategic Transportation Investment (STI) New funding formula for NCDOT’s Capital Expenditures • Focus on Mobility/Expansion and Modernization projects for all modes House Bill 817 signed into Law June 26, 2013 Most significant transportation legislation in NC since 1989 Prioritization Workgroup charged with providing recommendations to NCDOT on weights and criteria. Reps include: • MPOs • RPOs • Division Engineers • Local Government Advocacy Groups 5 STI Legislation New funding formula for all capital expenditures, regardless of mode. All modes must -
The New Tourism Lexicon: Rewriting Our Industry's Narrative
POLICY BRIEF THE NEW TOURISM LEXICON: REWRITING OUR INDUSTRY'S NARRATIVE Last year, Destinations International released a policy "Washington is the problem. Remind voters again and brief entitled, “Advocacy in the Face of Ideology,” which again about Washington spending, Washington waste, made the case that relying on ROI numbers to defend Washington taxation, Washington bureaucracy, the value and relevancy of a destination organization Washington rules and Washington regulations." was no longer a viable advocacy strategy. Instead, we Luntz also suggested replacing "drilling for oil" with argued, destination organizations need to support the "exploring for energy," "undocumented workers" with message of ROI in terms of dollars and cents with an "illegal aliens," and "estate tax" with "death tax." The ideological and value-based appeal to convince political substitutions often work — an Ipsos/NPR poll found that leaders that without a destination organization, these support for abolishing the estate tax jumps to 76% from returns will inevitably vanish. 65% when you call it the death tax. Our industry has unfortunately fallen for what George Lakoff, a professor of Cognitive Science and Linguistics at the University of California at Berkeley, dubs the “Enlightenment Fallacy.” According to this viewpoint, you simply need to tell people the facts in clear language and they’ll reason to the right, true conclusions. The problem, as Lakoff puts it is, “The cognitive and brain sciences have shown this is false… it’s false in every single detail.” The reality is that people tend to frame political arguments, and the facts behind them, in terms of their own values. -
Advanced Ipv6 Security in the LAN Gilles Roy, Technical Leader BRKSEC-3003 in 2015, 55% of Attacks Are from the Inside! *
Advanced IPv6 Security in the LAN Gilles Roy, Technical Leader BRKSEC-3003 In 2015, 55% of attacks are from the inside! * Source: 2015 IBM Cyber Security Report 3 There is a lot happening on the LAN, it can be difficult to follow everything, lets break it down. 1. Operations 2. Attacks 3. Mitigations 4. Use cases 4 Use cases Enterprise SP Access Datacenter Address Allocation ✔ ✖ ✖ Duplicate Address Detection ✔ ✔ ✔ Address Resolution ✔ ✖ ✔ Operation Neighbor Unreachability Detection ✔ ✖ ✔ Prefix Allocation ✖ ✔ ✖ Making Default Router Discovery ✔ ✖ ✔ sense of Denial of Link Operations ✔ ✖ ✔ Denial of Address Resolution ✔ ✖ ✔ YOUR Router Theft ✔ ✔ ✔ Attacks Address Theft ✔ ✖ ✔ setup. Denial of Address Configuration ✔ ✔ ✖ Denial of Address Assignment ✔ ✖ ✖ RA Guard ✔ ✔ ✔ DHCP Guard ✔ ✔ ✖ Mitigation Source Guard ✔ ✖ ✔ Destination Guard ✔ ✖ ✖ Binding Guard ✔ ✖ ✔ 5 Abstract summary and pre-requisite • This session focuses on IPv6 security within the layer-2 domain • With a multi-dimensional approach: operations, vulnerabilities, mitigations and use-cases • It introduces security features at the First Hop, such RA Guard, Source Guard, Destination guard, etc • Requirements: Knowledge of IPv6 and IPv6 Neighbor Discovery 6 Agenda • IPv6 in the layer-2 domain: operations and protocols • IPv6 in the layer-2 domain: vulnerabilities • Attack Demonstration • Mitigating Vulnerabilities • Use cases overview 7 Some background on layer-2 & IPv6 • Layer-2: what is it? • Layer-2 domain: also “broadcast domain”, link, lan, vlan, segment • Nodes: hosts, routers, -
Report on the Most Appropriate Indicators Related to the Basic Concepts
D 4.1 – Report on the most appropriate indicators related to the basic concepts Report on the most appropriate indicators related to the basic concepts Deliverable D4.1 This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 870708 D 4.1 – Report on the most appropriate indicators related to the basic concepts Disclaimer: The contents of this deliverable are the sole responsibility of one or more Parties of the SmartCulTour consortium and can under no circumstances be regarded as reflecting the position of the Research Executive Agency and European Commission under the European Union’s Horizon 2020 programme. Copyright and Reprint Permissions “You may freely reproduce all or part of this paper for non-commercial purposes, provided that the following conditions are fulfilled: (i) to cite the authors, as the copyright owners (ii) to cite the SmartCulTour Project and mention that the EC co-finances it, by means of including this statement “Smart Cultural Tourism as a Driver of Sustainable Development of European Regions - SmartCulTour Project no. H2020-870708 co financed by EC H2020 program” and (iii) not to alter the information.” _______________________________________________________________________________________ How to quote this document: Petrić, L., Mandić, A., Pivčević, S., Škrabić Perić, B., Hell, M., Šimundić, B., Muštra, V., Mikulić, D., & Grgić, J. (2020). Report on the most appropriate indicators related to the basic concepts. Deliverable 4.1 of the Horizon 2020 project SmartCulTour (GA number 870708), published on the project web site on September 2020: http://www.smartcultour.eu/deliverables/ D 4.1 – Report on the most appropriate indicators related to the basic concepts This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. -
Decnet-Plusftam and Virtual Terminal Use and Management
VSI OpenVMS DECnet-Plus FTAM and Virtual Terminal Use and Management Document Number: DO-FTAMMG-01A Publication Date: June 2020 Revision Update Information: This is a new manual. Operating System and Version: VSI OpenVMS Integrity Version 8.4-2 VSI OpenVMS Alpha Version 8.4-2L1 VMS Software, Inc., (VSI) Bolton, Massachusetts, USA DECnet-PlusFTAM and Virtual Terminal Use and Management Copyright © 2020 VMS Software, Inc. (VSI), Bolton, Massachusetts, USA Legal Notice Confidential computer software. Valid license from VSI required for possession, use or copying. Consistent with FAR 12.211 and 12.212, Commercial Computer Software, Computer Software Documentation, and Technical Data for Commercial Items are licensed to the U.S. Government under vendor's standard commercial license. The information contained herein is subject to change without notice. The only warranties for VSI products and services are set forth in the express warranty statements accompanying such products and services. Nothing herein should be construed as constituting an additional warranty. VSI shall not be liable for technical or editorial errors or omissions contained herein. HPE, HPE Integrity, HPE Alpha, and HPE Proliant are trademarks or registered trademarks of Hewlett Packard Enterprise. Intel, Itanium and IA-64 are trademarks or registered trademarks of Intel Corporation or its subsidiaries in the United States and other countries. UNIX is a registered trademark of The Open Group. The VSI OpenVMS documentation set is available on DVD. ii DECnet-PlusFTAM and Virtual -
The (Many) Paths to “Destination X”
Blog The (many) paths to “Destination X” Michelle Batten Head of Global Marketing, Mobile Division, Amadeus According to Amadeus’ new whitepaper, Better travel in the Live Travel Space “Get ready for Destination X,” today’s travel sellers have a golden opportunity to Destination X also offers enormous tap into destination services, a growing untapped potential to market and sell marketplace set to reach $183 billion by ancillary destination services to travelers. 2020. Drawing on survey results from It’s a place where travel agents, corporate more than a thousand CheckMyTrip by travel programs, and other providers of Amadeus mobile app users, the research flights, hotels and cars can continue identifies emerging trends about business servicing travelers at their final destination. and leisure travelers destined for Whether traveling on business, leisure or Destination X, one of the most important bleisure, mobile provides the perfect revenue-generating stops on a traveler’s platform to offer these destination services journey. on the move. Take me to travel nirvana Amadeus is helping travel providers better understand and address these challenges The Amadeus research poses questions and opportunities. Using the Amadeus such as, “Are travelers prepared as they Travel Platform, the Live Travel Space arrive to Destination X?” Are their needs aggregates all content into one platform, for add-on destination services like airport making it easier for travel sellers to find transfers, local activities and restaurant what they need, and provide the level of reservations being met? The paper personalization their travelers demand. explores eight trends regarding the challenges and opportunities travel sellers Are you ready to service customers more face in the post-booking ancillary game fully when they reach Destination X? and how you can win travelers trust in Download the whitepaper today at that arena. -
Assessing Contamination Risks Associated with Dust Soil Composted
Assessing Contamination Risk of Dust, Soil, Compost, Compost Amended Soil and Irrigation Water as Vehicles of Pathogen Contamination on Iceberg Lettuce Surfaces Sadhana Ravishankar and Govindaraj Dev Kumar School of Animal & Comparative Biomedical Sciences, University of Arizona, Tucson, AZ 85721 Project Report Submitted to the Arizona Iceberg Lettuce Research Council, 2014 1 Introduction The contamination of fresh produce by foodborne pathogens results in 9.5 million illnesses in the United States annually, causing $39 billion in medical losses (Schraff 2010). Iceberg lettuce and similar leafy greens are usually consumed raw with minimal processing or heat treatment. Hence, there is an increased risk of pathogen transmission from contaminated product. Fresh fruit and produce could be contaminated by spoilage or pathogenic microorganisms during pre-harvest and post-harvest procedures (Brandl, 2006). It has also been indicated that the produce might become contaminated during production in the field or in the packing house (Brandl, 2006; Lynch, Tauxe, & Hedberg, 2009). There has been an increase in produce related outbreaks in recent years. Animals are the primary hosts of Salmonella enterica and the pathogen possesses genes to invade, survive host cells and resist immune defense mechanisms (Wallis & Galyov, 2000). Salmonella also has genes that confer fitness in non-host environments. The application of soil amended with manure produced by food animals could introduce foodborne pathogens in the farm environment (Hutchison, Walters, Moore, Crookes, & Avery, 2004). Several studies have demonstrated the persistence of Salmonella in the farm environment. The pathogen was detected in dairy farms, piggeries and slaughterhouse facilities both before and after slaughter (Baloda, Christensen, & Trajcevska, 2001; Hurd, McKean, Griffith, Wesley, & Rostagno, 2002; Millemann, Gaubert, Remy, & Colmin, 2000). -
Towards Coordinated, Network-Wide Traffic
Towards Coordinated, Network-Wide Traffic Monitoring for Early Detection of DDoS Flooding Attacks by Saman Taghavi Zargar B.Sc., Computer Engineering (Software Engineering), Azad University of Mashhad, 2004 M.Sc., Computer Engineering (Software Engineering), Ferdowsi University of Mashhad, 2007 Submitted to the Graduate Faculty of the School of Information Sciences in partial fulfillment of the requirements for the degree of Doctor of Philosophy University of Pittsburgh 2014 UNIVERSITY OF PITTSBURGH SCHOOL OF INFORMATION SCIENCES This dissertation was presented by Saman Taghavi Zargar It was defended on June 3, 2014 and approved by James Joshi, Ph.D., Associate Professor, School of Information Sciences David Tipper, Ph.D., Associate Professor, School of Information Sciences Prashant Krishnamurthy, Ph.D., Associate Professor, School of Information Sciences Konstantinos Pelechrinis, Ph.D., Assistant Professor, School of Information Sciences Yi Qian, Ph.D., Associate Professor, College of Engineering, Dissertation Advisors: James Joshi, Ph.D., Associate Professor, School of Information Sciences, David Tipper, Ph.D., Associate Professor, School of Information Sciences ii Copyright c by Saman Taghavi Zargar 2014 iii Towards Coordinated, Network-Wide Traffic Monitoring for Early Detection of DDoS Flooding Attacks Saman Taghavi Zargar, PhD University of Pittsburgh, 2014 DDoS flooding attacks are one of the biggest concerns for security professionals and they are typically explicit attempts to disrupt legitimate users' access to services. Developing a com- prehensive defense mechanism against such attacks requires a comprehensive understanding of the problem and the techniques that have been used thus far in preventing, detecting, and responding to various such attacks. In this thesis, we dig into the problem of DDoS flooding attacks from four directions: (1) We study the origin of these attacks, their variations, and various existing defense mecha- nisms against them. -
Spatial Transition Learning on Road Networks with Deep Probabilistic Models
Spatial Transition Learning on Road Networks with Deep Probabilistic Models Xiucheng Liy, Gao Congy, Yun Chengz y Nanyang Technological Univeristy, z ETH Zurich fxli055@e., [email protected], [email protected] TABLE I Abstract—In this paper, we study the problem of predicting the EXAMPLE OF TRIPS ON ROAD NETWORK. most likely traveling route on the road network between two given locations by considering the real-time traffic. We present a deep Route Destination Frequency probabilistic model–DeepST–which unifies three key explanatory factors, the past traveled route, the impact of destination and r3 ! r2 ! r4 C 400 real-time traffic for the route decision. DeepST explains the r3 ! r2 ! r5 ! r10 C 100 generation of next route by conditioning on the representations r1 ! r2 ! r5 ! r6 A 100 of the three explanatory factors. To enable effectively sharing r1 ! r2 ! r7 ! r8 B 100 r ! r ! r ! r ! r B 100 the statistical strength, we propose to learn representations of 1 2 5 6 9 K-destination proxies with an adjoint generative model. To incorporate the impact of real-time traffic, we introduce a high C r<latexit sha1_base64="(null)">(null)</latexit> 10 r<latexit sha1_base64="(null)">(null)</latexit> dimensional latent variable as its representation whose posterior r<latexit sha1_base64="(null)">(null)</latexit> 4 6 A r<latexit sha1_base64="lQIphb3ZxX5RFxPPJ2+0wE0HOKM=">AAAB6nicbZBNS8NAEIYn9avWr6hHL4tF8FQSEfRY9OKxov2ANpTNdtMu3WzC7kQooT/BiwdFvPqLvPlv3LY5aOsLCw/vzLAzb5hKYdDzvp3S2vrG5lZ5u7Kzu7d/4B4etUySacabLJGJ7oTUcCkUb6JAyTup5jQOJW+H49tZvf3EtRGJesRJyoOYDpWIBKNorQfd9/tu1at5c5FV8AuoQqFG3/3qDRKWxVwhk9SYru+lGORUo2CSTyu9zPCUsjEd8q5FRWNugny+6pScWWdAokTbp5DM3d8TOY2NmcSh7YwpjsxybWb+V+tmGF0HuVBphlyxxUdRJgkmZHY3GQjNGcqJBcq0sLsSNqKaMrTpVGwI/vLJq9C6qPmW7y+r9ZsijjKcwCmcgw9XUIc7aEATGAzhGV7hzZHOi/PufCxaS04xcwx/5Hz+AAKOjZo=</latexit> -
Does Migration Destination Affect the Mortality Advantage of Mexican Immigrants? a Comparison of Traditional, New, and Emerging Destinations
Does Migration Destination Affect the Mortality Advantage of Mexican Immigrants? A comparison of Traditional, New, and Emerging Destinations Andrew Fenelon1 1National Center for Health Statistics, 3311 Toledo Road, Hyattsville, MD 20782 Abstract Health declines for immigrants with greater exposure to the United States, but the specific characteristics of the migration and assimilation processes that contribute to this pattern are less clear. As the Mexican population in the US has grown, it has expanded outside traditional gateways in California and Texas to new destinations throughout the US. This study examines the mortality of Mexican immigrants in Traditional versus New and Emerging destinations in the US. Using National Health Interview Survey data between 1989 and 2009 the analysis finds that Mexican immigrants in New and Emerging destinations have a significant survival advantage over their counterparts in traditional established destinations. This advantage may reflect selective migration to new destinations, superior employment prospects, or slower behavioral assimilation. US-born Mexicans do not benefit from this advantage. The results suggest that the spatial characteristics of the assimilation process are important when considering the health of immigrants. Introduction The Hispanic mortality advantage refers to the finding that the Hispanic-origin population in the United States experiences lower adult mortality rates than the non-Hispanic white population, despite lower average socioeconomic status among Hispanics. The “Hispanic Paradox” calls attention to the fact that Hispanics resemble African-Americans in terms of socioeconomic indicators but non-Hispanic whites in health and mortality indicators (Hummer, et al., 2000, Markides and Eschbach, 2011). In many studies, Hispanics exhibit higher life expectancy than non-Hispanic whites, as well as more favorable profiles with respect to non-fatal conditions such as cancer incidence and severity, heart disease, and hypertension (Eschbach, et al., 2005, Singh and Siahpush, 2002).