Distributed Virtual Laboratory for Smart Sensor System Design Distributed Virtual Laboratory for Smart Sensor System Design Oleksandr Palagin, Volodymyr.

Slides:



Advertisements
Similar presentations
Mathematics in Engineering Education N. Grünwald & V. Konev Hochschule Wismar – University of Technology, Business and Design, Wismar, Germany Tomsk Polytechnic.
Advertisements

IX- CONSTRUCTION PLANNING
Test Automation Success: Choosing the Right People & Process
Cutting-edge technology for the development of business software applications Takes advantage of the most recent international trends, combining Microsoft.NET.
Interactive System for Pulverized Coal Combustion Visualization with Fluid Simulator Marek Gayer, Pavel Slavík and František Hrdlička Department of Computer.
Dale E. Gary Professor, Physics, Center for Solar-Terrestrial Research New Jersey Institute of Technology 1 3/16/2012OVSA Preliminary Design Review.
Introduction to Mechatronics and Mechatronics in Real Life Mariya Popovchenko 3 April 2006 JASS 2006, St. Petersburg.
1 Kharkiv National University of Radioelectronics, Ukraine Ontology-Based Portal for National Educational and Scientific Resources Management Masha Klymova.
Computational Methods for Management and Economics Carla Gomes Module 3 OR Modeling Approach.
1: Operating Systems Overview
Lecture 13 Revision IMS Systems Analysis and Design.
Operations Management and Technology Ross L. Fink.
Multiple Information and Communication Educational Environment (МIEE)
Systems Engineer An engineer who specializes in the implementation of production systems This material is based upon work supported by the National Science.
Y. Rong June 2008 Modified in Feb  Industrial leaders  Initiation of a project (any project)  Innovative way to do: NABC ◦ Need analysis ◦ Approach.
LECTURE ESSENCE AND STRUCTURE OF BUSINESS PLAN. 1.The concept of business – plan 2.Contents (parts) of business plan.
Semantic Web Technologies Lecture # 2 Faculty of Computer Science, IBA.
Concepts and value of TI-Nspire™ Technology Module A.
By Saparila Worokinasih
ICEE 2005GLIWICE, POLAND JULY 2005 FEDERAL CENTER OF TECHNOLOGICAL EDUCATION – CEFET-RJ – BRAZIL PRODUCTION ENGINEERING DEPARTMENT CSCW: A FORMATION.
Chapter 1 Introduction to Simulation
1 Validation & Verification Chapter VALIDATION & VERIFICATION Very Difficult Very Important Conceptually distinct, but performed simultaneously.
Copyright 2002 Prentice-Hall, Inc. Chapter 1 The Systems Development Environment 1.1 Modern Systems Analysis and Design.
LOGO OPERATING SYSTEM Dalia AL-Dabbagh
Operating System Review September 10, 2012Introduction to Computer Security ©2004 Matt Bishop Slide #1-1.
Management Information System
1 MultiCom, a platform for the design and the evaluation of interactive systems. MultiCom, a platform for the design and the evaluation of interactive.
YOUR RELIABLE PARTNER. “Taxation of intellectual property, research & development in Russian Federation”
C11- Managing Knowledge.
| nectar.org.au NECTAR TRAINING Module 3 Common use cases.
Copyright 2002 Prentice-Hall, Inc. 1.1 Modern Systems Analysis and Design Jeffrey A. Hoffer Joey F. George Joseph S. Valacich Chapter 1 The Systems Development.
DITA Single Source technology. What is Single Source? Single source technology is a concept of publishing documents when same content can be used in different.
Transboundary Trust Space February 16, 2012 Ensuring trust in information exchange – proposal and approaches from Russia and CIS-states (RCC states) National.
The automated system of maintenance of reliability and quality of equipment ASONIKA
Sergey Gromov Yulia Krasilnikova Vladimir Polyakov (NRTU MISIS, Moscow) KNOWLEDGE BASE CREATION FOR NATIONAL NANOTECHNOLOGY NETWORKS «CONSTRUCTIONAL NANOMATERIALS»
1 Chapter 3 1.Quality Management, 2.Software Cost Estimation 3.Process Improvement.
EFFECTIVELY INTEGRATING INSTRUCTIONAL SOFTWARE INTO TEACHING AND LEARRNING EVIRONMENT FOR THE HIGHEST POTENTIAL RELATIVE ADVANTAGE BY: BELTECH ETEC 602.
Chapter 6 CASE Tools Software Engineering Chapter 6-- CASE TOOLS
Chapter 6: THE EIGHT STEP PROCESS FOCUS: This chapter provides a description of the application of customer-driven project management.
ELECTRICAL ENGINEERS KENDALL HIMEL INTRO TO ENGINEERING 4TH.
Mining and Oil Faculty Department of Oil and Gas Technologies Master program Technology of Oil Fields Development.
Introduction Complex and large SW. SW crises Expensive HW. Custom SW. Batch execution Structured programming Product SW.
Search Engine Optimization © HiTech Institute. All rights reserved. Slide 1 Click to edit Master title style What is Business Analysis Body of Knowledge?
Software Engineering, COMP201 Slide 1 Software Requirements BY M D ACHARYA Dept of Computer Science.
Lecture №4 METHODS OF RESEARCH. Method (Greek. methodos) - way of knowledge, the study of natural phenomena and social life. It is also a set of methods.
An intelligent learning system of air traffic control procedures (Інтелектуальна система навчання процедурам керування повітряним рухом) MINISTRY OF EDUCATION.
The article written by Boyarshinova Vera Scientific adviser: Eltyshev Denis THE USE OF NEURO-FUZZY MODELS FOR INTEGRATED ASSESSMENT OF THE CONDITIONS OF.
Survey on Expert System Seung Jun Lee Dept. of Nuclear and Quantum Engineering KAIST Mar 3, 2003.
Public Management Information Systems System Analysis & Design Saturday, June 11, 2016 Hun Myoung Park, Ph.D. Public Management & Policy Analysis Program.
Development of CAD concept model of package transformer substation (PTS) Aleksandra Seledkova Perm National Research Polytechnic University.
LECTURE 5 Nangwonvuma M/ Byansi D. Components, interfaces and integration Infrastructure, Middleware and Platforms Techniques – Data warehouses, extending.
Informatics Economy - Introduction … or why do we deal with diploma/thesis writing in the name of Informatics Economy?!?!?
Is It Possible To Teach Service Science? © Leonard Walletzký PA181 – Service Systems, Modeling and Execution.
Postgraduate stud. Al-Ahnomi Montaser Don State Technical University Department “Computer-aided design" Theme:- "development and research of intelligent.
Project Cost Management
Impact of internet sources on e-patient knowledge
NATIONAL QUALIFICATIONS FRAMEWORK IN SERBIA
Mechanical & Manufacturing Engineering Program
The Systems Engineering Context
Systems Analysis and Design in a Changing World, Fifth Edition
MBI 630: Systems Analysis and Design
Information Language Training Technologies for Engineers
Systems Analysis and Design
Analysis models and design models
Volodymyr ROMANOV Doctor of Sciences, Head of Department
Volodymyr ROMANOV Doctor of Sciences, Head of Department
Distributed Virtual Laboratory for Smart Sensor System Design
Robotics & Engineering Academy TERRA Environmental Research Institute
THE SYSTEMS APPROACH TO CURRICULUM DEVELOPMENT
STATISTICS derived from the Latin word STATUS, Italian word STATISTA, German word STATISTIK, and French word STATISTIQUE which express one meaning “ Political.
Presentation transcript:

Distributed Virtual Laboratory for Smart Sensor System Design Distributed Virtual Laboratory for Smart Sensor System Design Oleksandr Palagin, Volodymyr Romanov, Igor Galelyuka V.M. Glushkov’s Institute of Cybernetics of National Academy of Sciences of Ukraine Ukraine, 03680, Kiev, Prospect Akademika Glushkova, 40,

Distributed Virtual Laboratory for Smart Sensor System Design Virtual laboratory is recommended to be used at the requirements specification or EFT stages, because these early phases permit performing quite fast estimation of project realization opportunities, some project characteristics including economical benefits of project realization. Virtual laboratory can be used not only for device and system design but for control and estimation of working hypotheses, experimental researches, and designed device optimization for the sake of reaching some correlations (e.g. accuracy / price, accuracy / reliability etc.). 2

Distributed Virtual Laboratory for Smart Sensor System Design Distributed virtual laboratory for smart sensor design allows sensor developer to:  check possibility of creating of devices and computer facilities (including portable devices) on basis of developed sensors without involving specialists in circuit technology and instrument engineering at the stage of EFT-project. It allows reducing terms and costs on this stage;  avoid expensive actual tests on the stage of device creating by replacing with virtual methods of designing and testing;  prepare set of design documentations on designed device in the automotive mode without involving corresponding specialists. Next stage is to send design documentations to contract production for creating of test party of devices. 3

Distributed Virtual Laboratory for Smart Sensor System Design Integrated scheme of design process with proper outlet documentation 4

Distributed Virtual Laboratory for Smart Sensor System Design 1.Cheapness of designing, since expensive and complex equipment is not used and high- priced actual tests are not performed. Mainly VLCAD technical equipment includes personal computer and peripherals. 2.High rate of designing, because of use of prepared templates and models 3.Possibility of simultaneous creating of several alternative device versions and selecting from them following some prescribed guidelines on the optimal one. Here the guidelines mean recommendations on accuracy, price, reliability etc. 4.Possibility of the simultaneous project development performed by several specialists in various fields (biologist, circuit engineer, software developer, production engineer, metrologist etc.) which are distant from each other and work at different institutions. Thereafter rapid experience exchange takes place, and that is very important and helpful under present day conditions. 5.Possibility of laboratories’ use for future specialists’ training. They can be learned by the real projects, and that will permit choosing gifted to designing and rapid problem solving experts. 6.Possibility of creation, further filling, and joint use of distribute databases and knowledge bases in the course of designing and training. Advantages of using of virtual laboratory 5

Distributed Virtual Laboratory for Smart Sensor System Design Main principles, used during virtual laboratory creating: 1.Virtual laboratory is man-machine system. All design systems, which had been developed and now are being developed, are computer-aided, and designer is the main part of these systems. Human in such systems has to solve tasks, which cannot be well defined, and problem, which human by using own heuristic abilities may solve better and more effective than computer. Close interaction between human and computer during design process is one of principles of development and exploitation of any CAD systems for computer device designing. 2.Virtual laboratory is hierarchical system, which use comprehensive approach to automation of all design levels. Level hierarchy is presented in system structure as hierarchy of subsystems. 3.Virtual laboratory is set of informational-concerted subsystems. This very important principle refers not only to connections between large subsystems, but to connections between separate parts of subsystems. Informational compliance means, that almost all possible sequences of design tasks are served by informational-concerted programs. Two programs are informational-concerted if all data in these programs are part of numeric arrays and do not need transformations during sending from one program to another and inversely. So, results of one program can be incoming data for another program. 4.Virtual laboratory is open system, which are permanently expanding. Permanent progress of technology, designed objects, computer technology and computational mathematics lead to appearance of new, more perfect mathematical models and programs, which replace old analogs. So, VLCAD has to be open system and be able to use new methods and tools. 5.Virtual laboratory is specialized system with maximum using of unified units. Requirements of high efficiency and universality for any system are, as a rule, conflicting or competitive. It is reasonable to develop VLCAD on the base of unified parts. Necessary condition of unification is searching of common principles in the modeling, analysis and synthesis of technical objects. 6

Distributed Virtual Laboratory for Smart Sensor System Design Simplified presentation of virtual laboratory structure as ontologically managed open information system 7

Distributed Virtual Laboratory for Smart Sensor System Design Designing of "Floratest" by means of virtual laboratory  After selection of the functional solution and microelectronic components list was performed it’s possible to calculate certain parameters of the device being designed  These parameters include as follows  reliability  performance  price  measurement accuracy  Apart from the parameters it’s possible to calculate the parameters correlation (e.g. accuracy / reliability, accuracy / price, reliability / price etc.)  By means of optimization methods it is possible to reach the required correlation of the parameters 8

Distributed Virtual Laboratory for Smart Sensor System Design  For increasing of competitiveness of science products it is necessary to develop new hardware-software tools, what is applicable for using in interdisciplinary researches. Virtual laboratory for computer-aided design can serves as example of such tool. In the article it is considered preconditions and main principles of such virtual laboratories creation, main purpose of which is to give possibility for sensor developers to verify ability of creating new devices on the base of their sensors on the early stages of designing, particularly on the stage of requirements specification or EFT-stage. Conclusion 9

Distributed Virtual Laboratory for Smart Sensor System Design THANK YOU FOR ATTENTION !