Saturday, July 18, 2009
Saturday, June 6, 2009
FREE SIEMENS PLC RESOURCES
( Siemens )Basics of plc.rar
Siemens Basics Of Plc.rar
LINK FOR PROCESS CONTROL AND INSTRUMENTATION RESOURCES
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Wednesday, June 3, 2009
"Do Bussiness with Style" cool new templates for Microsoft office 2007

Microsoft Office 2007 free templates
Don't forget that , these templates will only work if you have the Office (2007 for Windows and 2008 for Mac) because the templates are in the new formats (.docx, .xlsx etc.). These templates are zip files and you can download them directly. No verification required.
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Thursday, January 22, 2009
Audio Wiring Guide: How to wire the most popular audio and video connectors

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Sunday, January 4, 2009
Embedded Robotics: Mobile Robot Design and Applications with Embedded Systems

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Differential Equations: An Introduction to Basic Concepts, Results and Applications by Iaon I. Vravie

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Student Solutions Manual and Study Guide Advanced Engineering Mathematics, 8ed.

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Concise Encyclopedia of Robotics by Stan Gibilisco

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Handbook of Formulas and Tables for Signal Processing

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ENGINEERING AND SCIENTIFIC CALCULATIONS USING MATLAB

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Sunday, December 28, 2008
Graphics and GUIs with MATLAB

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Handbook of instrumentation and controls Department of Energy USA

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Saturday, December 27, 2008
"SIMULATION" an overview
Simulation is the most important process in development as well as in monitoring . So let me give some basic idea of SIMULATION.Basically SIMULATION is Something which simulates a system or environment in order to predict actual behaviour. Or you can say "Simulation is the imitation of some real thing, state of affairs, or process. The act of simulating something generally entails representing certain key characteristics or behaviours of a selected physical or abstract system."
Simulation is used in many contexts, including the modeling of natural systems or human systems in order to gain insight into their functioning. Other contexts include simulation of technology for performance optimization, safety engineering, testing, training and education. Simulation can be used to show the eventual real effects of alternative conditions and courses of action.Key issues in simulation include acquisition of valid source information about the referent, selection of key characteristics and behaviours, the use of simplifying approximations and assumptions within the simulation, and fidelity and validity of the simulation outcomes.
Historically, simulations used in different fields developed largely independently, but 20th century studies of Systems theory and Cybernetics combined with spreading use of computers across all those fields have led to some unification and a more systematic view of the concept.
Physical simulation refers to simulation in which physical objects are substituted for the real thing . These physical objects are often chosen because they are smaller or cheaper than the actual object or system.
Interactive simulation is a special kind of physical simulation, often referred to as a human in the loop simulation, in which physical simulations include human operators, such as in a flight simulator or a driving simulator.
Human in the loop simulations can include a computer simulation as a so-called synthetic environment
we are living in computer age so we should talk about computer simulation.A computer simulation (or "sim") is an attempt to model a real-life or hypothetical situation on a computer so that it can be studied to see how the system works. By changing variables, predictions may be made about the behaviour of the system.
In Computer science, simulation has some specialized meanings: Alan Turing used the term "simulation" to refer to what happens when a universal machine executes a state transition table (in modern terminology, a computer runs a program) that describes the state transitions, inputs and outputs of a subject discrete-state machine. The computer simulates the subject machine. Accordingly, in theoretical computer science the term simulation is a relation between state transition systems, useful in the study of operational semantics.
Simulators may also be used to interpret fault trees, or test VLSI logic designs before they are constructed. Symbolic simulation uses variables to stand for unknown values.In the field of optimization, simulations of physical processes are often used in conjunction with evolutionary computation to optimize control strategies.
Simulation in education and training
Simulation is often used in the training of civilian and military personnel. This usually occurs when it is prohibitively expensive or simply too dangerous to allow trainees to use the real equipment in the real world. In such situations they will spend time learning valuable lessons in a "safe" virtual environment. Often the convenience is to permit mistakes during training for a safety-critical system. For example, in simSchool teachers practice classroom management and teaching techniques on simulated students, which avoids "learning on the job" that can damage real students.
Training simulations typically come in one of three categories:
• "live" simulation (where real people use simulated (or "dummy") equipment in the real world);
• "virtual" simulation (where real people use simulated equipment in a simulated world, or virtual environment), or
• "constructive" simulation (where simulated people use simulated equipment in a simulated environment). Constructive simulation is often referred to as "wargaming" since it bears some resemblance to table-top war games in which players command armies of soldiers and equipment that move around a board.
Type of models
Active models
Active models that attempt to reproduce living anatomy or physiology are recent developments. The famous “Harvey” mannikin was developed at the University of Miami and is able to recreate many of the physical findings of the cardiology examination, including palpation, auscultation, and electrocardiography.
Interactive models
More recently, interactive models have been developed that respond to actions taken by a student or physician. recently, these simulations were two dimensional computer programs that acted more like a textbook than a patient. Computer simulations have the advantage of allowing a student to make judgements, and also to make errors. The process of iterative learning through assessment, evaluation, decision making, and error correction creates a much stronger learning environment than passive instruction.
Computer simulators
Simulators have been proposed as an ideal tool for assessment of students for clinical skills.
Programmed patients and simulated clinical situations, including mock disaster drills, have been used extensively for education and evaluation. These “lifelike” simulations are expensive, and lack reproducibility. A fully functional "3Di" simulator would be the most specific tool available for teaching and measurement of clinical skills.
Immersive disease state simulations allow a doctor or HCP to experience what a disease actually feels like. Using sensors and transducers symptomatic effects can be delivered to a participant allowing them to experience the patients disease state.
Such a simulator meets the goals of an objective and standardized examination for clinical competence. This system is superior to examinations that use "standard patients" because it permits the quantitative measurement of competence, as well as reproducing the same objective findings.
simulation is really helpful in these areas
City simulators / urban simulation,Classroom of the future,Digital Lifecycle Engineering, technology ,Finance ,Home-built ,Flight ,Marine ,Military ,Robotics,Automobiles,Automation,Civil construction & architecture, large and complex process and monitoring .
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Wednesday, December 24, 2008
EMBEDDED SYSTEMS & COMPUTER ARCHITECTURE

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MATLAB and C Programming for Trefftz Finite Element Methods

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Sunday, December 21, 2008
Electronic Instrumentation

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Saturday, November 22, 2008
"Semulation" an Introduction
is a computer science-related neologism that combines simulation and emulation. It is the process of controlling an emulation through a simulator.
Semulation in computer science
Digital hardware is described using hardware description languages (HDL) like VHDL, Verilog or System Verilog. These descriptions are simulated together with a problem-specific testbench. The initial functional verification of most IP designs is done via simulation at register transfer level (RTL) or gate level. In an event driven simulation method the code must be processed sequential by a CPU, because a normal computer is not able to process the implemented hardware parallel. This sequential approach leads to long simulation times especially in complex systems on chip (SoC) designs.
After simulation the RTL description must be synthesized to fit in the final hardware (eg.: FPGA, ASIC). This step brings a lot of uncertainties because the real hardware is normally not as ideal as the simulation model. The differences between real world and simulation are a major reason why emulation is used in hardware design.
Generally the simulation and emulation environment are two independent systems. Semulation is a symbiosis of both methods. In semulation one part of a hardware design is processed sequential in software (eg.: the testbench) while the other part is emulated.
An example design flow for semulation is depicted in the following block chart:
The database holds the design and testbench files and the information about the block whether it will be simulated or emulated. The left part shows the normal simulation path where the design files must be compiled for an HDL simulator. The right part of the state chart handles the flow for the emulation system. Design files for the FPGA must be synthesized to the appropriate target technology. A major point in semulation is the connection between the emulation system and the HDL simulator. The interface is necessary for the simulator to handle the connected hardware.
Advantages of Semulation
- Simulation acceleration: Simulating huge designs with an HDL simulator is a tedious task. When the designer transfers parts of the design to an emulation system and co-simulates them with the HDL simulation, the simulation run times can be decreased.
- Using real hardware early in the design flow.
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Friday, November 21, 2008
Virtual Instrumentation
is the use of customizable software and modular measurement hardware to create user-defined measurement systems, called virtual instruments.
Traditional hardware instrumentation systems are made up of pre-defined hardware components, such as digital multimeters and oscilloscopes that are completely specific to their stimulus, analysis, or measurement function. Because of their hard-coded function, these systems are more limited in their versatility than virtual instrumentation systems. The primary difference between hardware instrumentation and virtual instrumentation is that software is used to replace a large amount of hardware. The software enables complex and expensive hardware to be replaced by already purchased computer hardware; e. g. analog to digital converter can act as a hardware complement of a virtual oscilloscope, a potentiostat enables frequency response acquisition and analysis in electrochemical impedance spectroscopy with virtual instrumentation.
The concept of a synthetic instrument is a subset of the virtual instrument concept. A synthetic instrument is a kind of virtual instrument that is purely software defined. A synthetic instrument performs a specific synthesis, analysis, or measurement function on completely generic, measurement agnostic hardware. Virtual instruments can still have measurement specific hardware, and tend to emphasize modular hardware approaches that facilitate this specificity. Hardware supporting synthetic instruments is by definition not specific to the measurement, nor is it necessarily (or usually) modular.
Leveraging commercially available technologies, such as the PC and the analog to digital converter, virtual instrumentation has grown significantly since its inception in the late 1970s. Additionally, software packages like National Instruments' LabVIEW and other graphical programming languages helped grow adoption by making it easier for non-programmers to develop systems.
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Monday, November 17, 2008
LabVIEW the new emerging tool
is a powerfull tool developed by NATIONAL INSTRUMENS having many new features....
Boeing Uses LabVIEW to Develop a Low-Cost Test System LabVIEW software and NI hardware helped a single Boeing developer create a high-channel-count, synchronized test system in only six months to measure the effectiveness of new commercial jetliner designs in reducing noise during flight.
Acquire Measurements from Any Sensor, Any Bus LabVIEW may be used to create a fully functional measurement application with analysis and a custom user interface using a variety of PCI- and USB-based data acquisition hardware. Measure in Minutes with LabVIEW and the DAQ Assistant LabVIEW uses the interactive DAQ Assistant and high-level functions to combine the flexibility and scalability of traditional programming languages and the ease of use of configuration-based data acquisition tools.
Acquire, Analyze, and Present Data Quickly with Express VIs to develop a powerful DAQ application that includes advanced analysis and a custom user interface. See how tasks that would take several lines of code in traditional programming languages are interactively configured with Express VIs in LabVIEW.
Use LabVIEW to Program the Next-Generation PLC Industrial engineers pushing the boundaries of controller technology can use LabVIEW graphical programming and programmable automation controllers (PACs) to combine PC functionality with programmable logic controller (PLC) reliability. Add Advanced Analysis to Your PLC Add advanced analysis, signal processing, decision making, and debugging diagnostics to an existing PLC-based industrial application with LabVIEW and OPC connectivity.
Simplify Embedded Development with Graphical System Design Discover how LabVIEW graphical system design software provides domain experts with high-level tools, such as statecharts, to design and implement their systems on off-the-shelf hardware. Get to Market Faster with LabVIEW and COTS Hardware LabVIEW graphical programming and commercial off-the-shelf (COTS) hardware help design teams get products to market faster by accelerating every stage of development - from the earliest stages of design and simulation to prototyping the system with real-world signals and deploying to a chosen processor target.
Prototype and Deploy a Custom Controller with LabVIEWDrivven used LabVIEW and COTS prototyping hardware to quickly develop custom IP for an FPGA-based engine control unit (ECU) in a high-performance motorcycle engine.
Control Industrial Machinery Remotely with LabVIEW Nexans uses LabVIEW and NI reconfigurable embedded hardware to control the hydraulic systems on a remotely operated underwater excavator that prepares the ocean floor for a pipeline to extract natural gas.
Combine Graphical and Textual Programming to Reduce Design Time Reduce embedded design time by using a LabVIEW graphical system design approach to combine the traditionally separate tasks of theoretical design and prototyping. Choose between graphical and textual programming throughout the process. Choose the Software Preferred by Students for Signal Processing Professor Mark Yoder, Ph.D., recently transitioned the signal processing course at Rose-Hulman from The MathWorks, Inc. MATLAB® software to LabVIEW software. Dr. Yoder's research later showed that students prefer LabVIEW as a learning tool by a 3 to 1 margin. MATLAB® is a registered trademark of The MathWorks, Inc.
Students Use LabVIEW to Create Segway-Inspired Machine A senior design team at Rensselaer Polytechnic Institute used LabVIEW to develop a two-wheeled robotic locomotion platform inspired by the Segway Human Transporter. With LabVIEW software and NI hardware, the students could use one platform throughout the project.
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