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N.C. State - CALS - 101
Roles, Responsibilities, and Rewards of TeachingAEE 101How Many Hats Does a Ag. Ed. Teacher Wear? (Roles) Teacher Manager Counselor Coach Agriculturalist Police Officer Maintenance Worker Publicist Financial Manager Learner Bus Dri
N.C. State - CALS - 101
Professionalism & Professional OrganizationsIs teaching a profession? Characteristics Requiresof a professionspecialized knowledge andtraining There is a licensure policy The profession governs itselfEducation clearly meets the first tw
N.C. State - ARE - 012
WELCOME TO ARE 012Introduction to Agricultural Economics With Herman SampsonMicroeconomics: ( the trees)Studies economic behavior of individual decision making units such as, x Consumers x Resource Owners x Business Firms (producers) in a market
N.C. State - ARE - 012
Why Understand Economics?Big Three U.S. Automakers, and the Strong Dollar of 1986 1986: $1 => 240 yen 1988: $1 => 120 yen 1994: $1 => 113.58 yen 1995: $1 => 104.08 yen 1996: $1 => 108.83 yen 1997: $1 => 121.05 yenWhy Understand Economics?Big Thre
N.C. State - ARE - 012
Fiscal Policy OverviewKeynesian Economics1FISCAL POLICY OVERVIEWFiscal Policy: Deliberate use of taxes, transfer payments, and government payments for G & S to affect the level of production (GDP), income, prices & employment in the economy. (A
N.C. State - ARE - 012
MONETARY POLICYFederal Reserve (Central Bank) controls money supply.1MONETARY POLICYThe money supply can/does influence price levelsxInflation occurs if the money supply increases, ceteris paribus. Deflation occurs if the money supply decrea
N.C. State - ARE - 012
Introduction to Economics1Economics is a Way of Thinking, a Thought ProcessYou already know and use some of the economic principles we will discuss x Your informal economic education began when your parents gave you your first dollar to spend x
N.C. State - ARE - 012
OUR ECONOMIC SYSTEM1Pure CapitalismType of economic system generally characterized by: x Limited involvement of the government in the economy. x Individual ownership of the factors of production. x Individuals pursue their own self interest with
N.C. State - ARE - 012
The Functions of An Economic SystemThese Functions Must Be Performed Regardless of the Type of Economic System Practiced1Determine WHAT to Produce, and HOW MUCHx Onlythose commodities for which consumers are willing to pay a price per unit su
N.C. State - ARE - 012
OPPORTUNITY COSTA Concept To Understand In Order To Make Informed ChoicesOPPORTUNITY COSTUpon High School graduation you had to choose whether to go to college or go to work. You have to choose whether to plant corn, soybeans, or both.OPPORTUNI
N.C. State - ARE - 012
PRIVATE ECONOMIC EFFICIENCYA KEY TO PROFITABILITYPHYSICAL EFFICIENCY FIRSTBefore we can discuss private economic efficiency, we must define another measure of efficiency known as PHYSICAL EFFICIENCY (TECHNICAL EFFICIENCY, OR PRODUCTIVITY).Simpl
N.C. State - ARE - 012
Marginal AnalysisA Key to Economic Analysis1Marginal AnalysisMarginal analysis is used to assist people in allocating their scarce resources to maximize the benefit of the output produced. Simply getting the most value for the resources used.2
N.C. State - ARE - 012
Working With Graphs1Graphs In General:A graph is a visual representation of the relationship between two or more variables. We will deal with just two variables at a time.2Graphs In General:1. Independent variable: This is the variable that
N.C. State - ARE - 012
Production Possibilities1Production PossibilitiesWhile in school, you allot yourself a certain period of time to study. A. Given a 70 hour week ( 7 days, 10 hours a day), you can 1. study all the time = possibly a very dull person2Production
N.C. State - ARE - 012
The Concept of DemandThe Demand for Goods and Services1Objective:To determine how people respond to price changes over time with respect to commodities and factors of production. We will be dealing primarily with the commodity markets, but we w
N.C. State - ARE - 012
DEMAND LECTURE II1LETS LOOK AT THE COMMODITY WHEATPriceSurplus SupplyP1 PeDemandQeQuantity / unit of time 2A SURPLUSA. Pe and Qe represent the market clearing price and quantity. B. Assume the government sets a price at P1: 1. There
N.C. State - ARE - 012
Supply Lecture1Supply Schedule and Supply CurveSupply schedule: A tabular depiction of the numerical relationship between the quantity supplied and its own price.Supply curve: A graphical representation of the relationship between the quanti
N.C. State - ARE - 012
Price Elasticity of DemandLecture 11Demand Curves Show How Sensitive Consumers are to Price ChangesRelatively inelastic P 1. Quantity demanded is not affected very much by price changes. 2. Therefore not very sensitive to price changes. 3. Not
N.C. State - ARE - 012
Price Elasticity of DemandLecture #21As We Move Down the Demandcurve, TOTAL REVENUE first increases, reaches a maximum (or peak), and then decreases.TRQd2Another Curve Ball Folks!All downward sloping linear demand curves can be divided
N.C. State - ARE - 012
Supply ElasticityElasticity of Supply,Is the percentage change in quantity supplied associated with a percentage change in price.Es = % Qs / % PEs = QS PXP0 Q0Interpreting Elasticity of SupplyIf Es > 1 elastic supply Es < 1 inelast
Rutgers - RCI - 301
QuickTime and a TIFF (LZW) decompressor are needed to see this picture.
Rutgers - ECE - 545
Performance Analysis of Downlink Power Control Algorithms for CDMA SystemsSoumya Das Sachin Ganu Natalia Rivera Ritabrata RoyOutline Introduction Power Control Advantages Strategies Simulation Setup PC AlgorithmsAlgorithms Comparis
Rutgers - ECE - 545
Performance Analysis of linear error correcting codesGroup Members Shantharam Iyer Nitish Sinha Anjana Rao Premkumar IyangarProject ObjectiveComparison of the performance(BER v/s.SNR) of different channel coding schemes for varying: A) Sampl
Rutgers - ECE - 545
Performance Analysis of MIMO Systems with IRMBy Junwu Zhang Xuefeng Zhao Bin Xue01/21/09Communication Theory1Multiple-Input Multiple-Output(MIMO)? The use of multiple antennas at both ends of a wireless link promise significant improvements
Rutgers - ECE - 545
Network CodingProject presentationCommunication Theory16:332:545Amith Vikram Atin Kumar Jasvinder Singh Vinoo GanesanOutlineIntroduction Network coding concept Literature Survey Terminology and Notation Solvability in Multicast Networks
Rutgers - ECE - 545
Channel Estimation in OFDM SystemsZhibin Wu Yan Liu Xiangpeng JingOUTLINE OFDMSystem Introduction Estimation Techniques Evaluation Channel Performance ConclusionOFDM OverviewDivides high-speed serial information signal into multiple l
Rutgers - ECE - 545
Implementation and Performance Evaluation of an OFDM Modem With Variations in Cyclic Prefix Length and Channel Coding for Different ChannelsIndira Rajagopal Joydeep Acharya Madhavi V Ratnagiri Sumathi GopalCourse: Communication Theory (ECE 545); Ru
Rutgers - ECE - 545
OFDMAdaptive Modulation Reduction of Peak-to-Average Power Ratio Channel estimation OFDM in frequency selective fading channelPuja Thakral Gupta Silvija Kokalj-Filipovic Youngsik Lim SadhanaOUTLINE Introduction to OFDM Adaptive Modulation Redu
Rutgers - ECE - 545
UWB (Ultra Wideband) Communication SystemUmut Akyol Haris Kremo Ahmed Turk John Youssef1What is UltraWideBand? FCC:bandwidth is more than 25% of a center frequency or more than 1.5 GHz Typically implemented in a carrier-less fashion (Base-b
Rutgers - HACE - 2000
Hispanic Alliance for Career Enhancement College Student Outreach Programs Rutgers UniversityJanuary 2003in partnership with25 E. Washington StreetSuite 1500Chicago, IL 60602(312) 435-0498Fax (312) 435-1494www.hace-usa.orgH
Rutgers - AMS - 2003
Autonomic ComputingAutonomic Computing: Implementing the VisionAlan Ganek Vice President IBM Autonomic Computing ibm.com/autonomic1 2003 IBM CorporationAutonomic ComputingComplex heterogeneous infrastructures are a reality!Directory and S
Rutgers - AMS - 2003
Navigating in the StormKen Birman, Robbert van Renesse, Werner Vogels Dept. of Computer Science Cornell UniversityAutonomic ComputingA challenge both technically but also from a business perspectiveSuppose someone came along with a major a
Rutgers - AMS - 2003
Kinesthetics eXtreme: An External Infrastructure for Monitoring Distributed Legacy SystemsGail Kaiser, Janak Parekh, Philip Gross and Giuseppe Valetto* Programming Systems Lab Columbia University(*Mr. Valetto is also an employee of Telecom Italia)
Rutgers - AMS - 2003
A Programmable Routing Framework for Autonomic Sensor NetworksYu He, Cauligi S. Raghavendra, Steven Berson, Robert Braden Information Sciences Institute, University of Southern California Marina del Rey, CA USAAMS 2003, Seattle, U.S.A., June 25, 20
Rutgers - AMS - 2003
Semantic Software EngineeringAlexander Paar & Walter F. Tichy Institute for Program Structures and Data Organization Universitt KarlsruheOutline (Web-) service orientation Semantic Web service descriptions Semantic software engineering Demo O
Rutgers - COOL - 2002
Spatial Current Structure Observed with a Calibrated HF Radar System: The Influence of Local Forcing, Stratification, and Topography on the Inner ShelfJosh T. Kohut Advisor: Scott Glenn Committee: Bob Chant Dale Haidvogel Rutgers University Jeff Pad
Rutgers - CAMDEN - 04
Factorial DesignAdditivity and InteractionsFactors What is a variable? A variable is any characteristic that can vary Examples: gender, hair color, personality, IQ, GPA What is a level? A level is a specific instance of the variation of a fa
Rutgers - COOL - 2
Chromophoric Dissolved Organic Matter (CDOM) in the Hudson River Estuary and PlumeRobert F. Chen, G. Bernard Gardner, Steven M. Rudnick, Francesco Peri, Liannea Litz, Zhen Wang, Huang WeiThe Integrated Coastal Observation System (ICOS) ECOShuttle
Rutgers - COOL - 2
Lagrangian Transport & Transformation ExperimentUniversity of Massachusetts BostonMeng Zhou (Physical and zooplankton distribution) Robert F. Chen Bernie Gardner Francesco Peri Yiwu ZhuZooplankton distributions relative to physical featuresLase
Rutgers - COOL - 2
May 4, 2004DiffusivitiesSalt flux=Kz dS/dz=h dS/dt1a upwelling 1b plume 1b upwellingdS/dt (10-5s-1) dS/dz (/s) 0.6 0.4 5.5 0.4 3.3 0.255 4.5h (m) 0.8 3 5.9K 10-4 m2/s 4.1PlumeWater speed 55 cm/s Front speed40 cm/s Difference 15 cm/s d
Rutgers - COOL - 2
cm/sUpwellingDownwellingFigure 2 Upper panel) Along shore velocity (color) and salinity (contours) obtained From inshore moorings in 15 meters of water. Positive currents are to the north. Lower panel) Along shore wind speed. Positive winds are
Rutgers - COOL - 2
Phytoplankton/Zooplankton SamplingMeasurements - PICDOM HPLC (0.2um) HPLC (2um) HPLC (20um) Sized HPLC (0.2um) Sized HPLC (2.0um) Sized HPLC (20um) ABS= red CHN= blue Metals (0.2) Metals (2) Metals (20) Moline Moline Moline Moline Moline Moline Mo
Rutgers - COOL - 2
Lagrangian studies of the transport transformation and biological impact of nutrients and contaminant metals in a buoyant plume: a process study in an operational ocean observatory. Robert Chant1, John Reinfelder1, Scott Glenn1, Oscar Schofield1, Joh
Rutgers - COOL - 2
ROMS LATTE model domain The model was run in April/May 2004 in a prototype forecast mode by J. Wilkin. Implementing an operational forecast system based on this is being undertaken by G. Foti. B.-J. Choi is using the same configuration for a series o
Rutgers - CIMIC - 28
Electronic Commerce Resource CentersElectronic Commerce Program Orientation Conference October 28, 1998 Suzi Borgo Ph.D. (sborgo@fecrc.com)Director of Education & Training, Fairfax ECRCElectronic Commerce Resource CentersThe ECRC program is inte
Rutgers - OCT - 28
Electronic Commerce Resource CentersElectronic Commerce Program Orientation Conference October 28, 1998 Suzi Borgo Ph.D. (sborgo@fecrc.com)Director of Education & Training, Fairfax ECRCElectronic Commerce Resource CentersThe ECRC program is inte
Rutgers - CIMIC - 28
Student Education Employment Opportunities Program Work Study Opportunities in the Federal GovernmentStudent Education Employment Program Continue education and gain practical experience MOU between agency, university and student At least one-h
Rutgers - OCT - 28
Student Education Employment Opportunities Program Work Study Opportunities in the Federal GovernmentStudent Education Employment Program Continue education and gain practical experience MOU between agency, university and student At least one-h
Rutgers - CIMIC - 28
DEFENSE LOGISTICS AGENCYXXIJoint Electronic Commerce Program Office (JECPO) Briefing to the EC Program Orientation Conference UMBC Mr. Miles Holtzman Business & Technology Integration Division(703) 275-5332 miles_holtzman@hq.dla.milhttp:/www.ac
Rutgers - OCT - 28
DEFENSE LOGISTICS AGENCYXXIJoint Electronic Commerce Program Office (JECPO) Briefing to the EC Program Orientation Conference UMBC Mr. Miles Holtzman Business & Technology Integration Division(703) 275-5332 miles_holtzman@hq.dla.milhttp:/www.ac
Rutgers - CIMIC - 28
wasc.usgs.gov/ec21Electronic Commerce at the U.S. Department of the InteriorCharles Nethaway Electronic Commerce for the 21st CenturyNational Business Center* Mission StatementWe provide our customers with innovative solutions through quality a
Rutgers - OCT - 28
wasc.usgs.gov/ec21Electronic Commerce at the U.S. Department of the InteriorCharles Nethaway Electronic Commerce for the 21st CenturyNational Business Center* Mission StatementWe provide our customers with innovative solutions through quality a
Rutgers - BONDEROSA - 524
MembraneStructure and Function2004 September 20Molecular Cell Biology, P. Rabbah1Cell membranes are made of lipid bilayers12004 September 20Molecular Cell Biology, P. Rabbah2Structure of phospholipid molecules12004 September 20
UPenn - CIS - 06
Hybrid Systems Modeling and Analysis of Regulatory Pathways Rajeev AlurUniversity of Pennsylvania www.cis.upenn.edu/~alur/LSB, August 2006Hybrid SystemsState machines + Dynamical systemsx>68on dx/dt=kx x<70x<63off dx/dt=-kx x>60Computer
UPenn - CIS - 05
The Benefits of Exposing Calls and ReturnsRajeev AlurUniversity of PennsylvaniaCONCUR/SPIN, August 2005Software Model CheckingObservables Control flow graph + Boolean vars (Pushdown automata) Temporal logics/Automata Regular! SpecificationP
UPenn - CIS - 05
Deconstructing Transactions: The Subtleties of AtomicityColin Blundell, E Christopher Lewis, Milo M. K. Martin University of Pennsylvania {blundell, lewis, milom}@cis.upenn.eduConverting a Lock-Based Queueenqueue(Q, v){Node_t node = malloc(); no
UPenn - CIS - 96
WaveLAN - Measurement and AnalysisYerang HurDepartment of Computer and Information Science Jan. 22, 1998CIS 640ReferencesD. Duchamp and N. F. Reynolds, Measured Performance of a Wireless LAN, In Proceedings of the 17th IEEE Conference on L
UPenn - CIS - 7
Gold Rush : Mobile Transaction Middleware with JAVA Object ReplicationPresented By Goutham Rao University Of PennsylvaniaWhat we will be talking aboutAn approach taken to equip mobile clients with access to a central database, even in a disconne
UPenn - CIS - 2
A Framework for Environment Aware Mobile ApplicationsAuthors: Girish Welling and B. R. Badrinath Department of computer Science Rutgers UniversityCIS 640 Mobile Computing presented by: Suming Chen March 4, 1998Presentation OutlineIntroduction D
UPenn - CIS - 6
Designing Distributed Applications with Mobile Code ParadigmsQinhai Xia 3/5/98Introduction History: Distributed Systems have been investigated for years Motivation: WWW and network in general Problem: ScalabilityIntroduction (Continued) Pos
UPenn - CIS - 3
Mobile AmbientsLuca CardelliDigital Equipment Corporation, Systems Research CenterAndrew D. GordonUniversity of Cambridge, Computer LaboratoryPresented byMichael HicksCIS 640 Spring 1998Mobility Mobile Computing Computing devices are mo