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09:40-10:40 - Harnessing the Power of MATLAB and Simulink
Jim Tung, The MathWorks Fellow
MATLAB® and Simulink® serve as a platform for diverse applications in technical computing and embedded system development, across many industries. From the MATLAB environment, you can create algorithms targeted to embedded systems, or run them on scaleable computing architectures such as multi-core personal computers and compute clusters. The Simulink platform for Model-Based Design supports the major steps of the embedded-system development workflow, including:
- system specification and requirements management
- multi-domain system-level design
- code generation for both embedded software and digital electronics
- verification at the model level, code level, and system level
Jim Tung has more than 25 years experience in the technical computing software markets. He is a 20-year veteran of The MathWorks, holding the positions of vice president of marketing and vice president of business development before assuming his current role focusing on business and technology strategy and analysis.
Jim previously held marketing and sales management positions at Lotus Development and Keithley DAS, a pioneering manufacturer of PC-based data acquisition systems. Jim holds a bachelor's degree from Harvard University.
11:40-12:30 - Introduction to Object-Oriented Programming in MATLAB MATLAB 에서의 객제 지향 프로그래밍 기법 소개
Kevin Cohan, The MathWorks
R2008a included a major update to object-oriented programming in MATLAB®, enabling easier development and maintenance of large applications and data structures. Using engineering examples, this session will demonstrate how to define classes and work with objects, highlighting the benefits of this programming approach over traditional procedural techniques. Features covered include class definitions, properties, property attributes, methods, method attributes, and inheritance. No knowledge of object oriented programming is required.
새로 출시된 R2008a 버전의 MATLAB에서는 객체 지향 프로그래밍 환경에 대한 주요 기능들이 업데이트 되었습니다. 개선된 객체 지향 프로그래밍을 통하여 사용자들은 보다 쉽게 구조체형 데이터와 복잡한 어플리케이션을 개발하고 유지 보수 할 수 있습니다. 이 세션에서는 실제의 엔지니어링 예제를 사용하여 MATLAB 에서 Class 를 정의 하고 Object들을 사용하는 방법을 시연해드리며, 이와 함께 일반의 절차 지향 언어와의 비교를 통하여 객체 지향 프로그램의 이점을 소개해드리겠습니다. 이 세션에서는 객체 지향 프로그래밍에서의 Class 정의, 속성 설정 및 속성 값 지정, Class 에서의 Method 정의, 지정 및 상속 에 대한 개념을 설명합니다.
이 세션에서는 객체 지향 프로그래밍 기법을 처음 접하시는 분도 참여 가능합니다.
Kevin Cohan is a technical marketing manager at The MathWorks and focuses on MATLAB® and other technical computing products. His earlier career includes roles as a product marketing manager at Mentor Graphics and hardware design engineer at Raytheon's Missile Systems Division. Kevin earned a B.S. in Electrical and Computer Engineering from Clarkson University and an M.S. in Electrical and Computer Engineering from the University of Massachusetts, Lowell.
11:40-12:30 - Ten Best Practices for Model-Based Design 모델기반설계(Model-Based Design)의 10가지 실행 방안
Jim Tung, The MathWorks Fellow
Model-Based Design has been adopted by a broad range of organizations in industries such as automotive, aerospace, and communications. This talk summarizes some of the technical and organizational approaches that these companies are using to apply Model-Based Design successfully in a variety of development processes.
모델기반설계(Model-Based Design) 기법은 자동차, 항공우주, 통신 등 전세계 다양한 산업분야에 적용되어 효율적인 개발 프로세스를 구축하는 사례가 증가하고 있습니다. 이번 세션에서는 광범위한 개발 프로세스에서 모델기반설계를 성공적으로 적용한 여러 회사들의 기술적이고 조직적인 접근 방안에 대해 논의할 것입니다.
Jim Tung has more than 25 years experience in the technical computing software markets. He is a 20-year veteran of The MathWorks, holding the positions of vice president of marketing and vice president of business development before assuming his current role focusing on business and technology strategy and analysis.
Jim previously held marketing and sales management positions at Lotus Development and Keithley DAS, a pioneering manufacturer of PC-based data acquisition systems. Jim holds a bachelor's degree from Harvard University.
11:40-12:30 - Advanced Signal Processing and Communications System Design Part 1: Building an Executable Specification 실행가능한 스펙 생성
Arun Mulpur, The MathWorks
Advanced signal processing and communication systems are becoming increasingly complex. Simultaneously, the amount of time and engineering resources available to complete these system designs and release products to market is decreasing due to competitive and business pressures. This presentation focuses on creating and utilizing executable specifications and their impact on system designs of complex signal processing and communication systems.
신호 처리 및 통신 시스템은 점점 더 복잡해지고 있는데 반해 그러한 시스템을 설계 완료하는데 드는 시간과 유효 연구 인력은 시장에서의 경쟁의 문제로 인해 오히려 감소하고 있습니다. 본 세션에서는 실행 가능한 스펙을 생성하고 이러한 실행 가능한 스펙이 복잡한 신호 처리 및 통신시스템 설계에 어떠한 영향을 주는가에 중점을 두고 있습니다.
Arun Mulpur is a technical marketing manager at The MathWorks. He is focused on products, technology, and design flows related to design, simulation, implementation, and verification of signal processing and communications systems. Prior to joining The MathWorks, he worked at Visual Solutions, Inc. most recently as Director of Product Engineering. Arun has authored several refereed articles, book chapters, and technical articles and has presented at various conferences and workshops on topics related to nonlinear systems analysis, linear and nonlinear control systems, signal processing, Model-Based Design, hardware and software design methodologies, code generation, and verification. Arun has a Bachelor’s degree from Osmania University, India and Master’s and Doctorate degrees from University of Massachusetts Lowell – all in electrical engineering.
13:30-14:20 - Solving Data Analysis Challenges Using MATLAB and Statistics Products MATLAB 과 Statistics 제품들을 이용한 데이터 분석 기법
Kevin Cohan, The MathWorks
Engineers often have significant quantities of data that need to be analyzed. Complicating the need to rapidly analyze the data are anomalies (drop-outs, sensor failures, etc.) which often lead to manual and laborious tasks to discover, categorize, and deal with missing or bad data. An example application will be presented in order to demonstrate how MATLAB® and statistics add-on products can be used to improve data quality and enhance understanding of the data through quantitative statistical methods.
엔지니어들은 때때로 방대한 양의 데이터를 분석해야 할 필요가 있습니다. 이러한 데이터들은 측정상의 데이터 유실 혹은 센서에서의 오류 등의 이유로 엔지니어들은 수작업을 통하여 데이터를 정리 및 재배치하며 유실된 데이터를 처리해야 합니다. 이러한 이유로 데이터 분석 작업은 점점 복잡해지며 분석에 사용되는 개발 시간도 점점 늘어나게 됩니다. 이 세션에서는 MATLAB 과 Statistics(통계) 관련 제품들을 이용하여 유실 및 오류 데이터들을 처리 하는 방법과, 정량적 통계 분석 기법을 실제의 어플리케이션 데모를 통하여 보여드립니다.
Kevin Cohan is a technical marketing manager at The MathWorks and focuses on MATLAB® and other technical computing products. His earlier career includes roles as a product marketing manager at Mentor Graphics and hardware design engineer at Raytheon's Missile Systems Division. Kevin earned a B.S. in Electrical and Computer Engineering from Clarkson University and an M.S. in Electrical and Computer Engineering from the University of Massachusetts, Lowell.
13:30-14:20 - Modeling Physical Systems for System-Level Analysis in Simulink Simulink상에서 시스템 레벨 분석을 위한 물리적 시스템의 모델링
Steve Miller, The MathWorks
The design of engineering systems requires tight integration of many disciplines. Developing software alongside the physical system results in optimized designs and the detection of errors earlier in the design process. In this presentation, tools for modeling and simulating multidomain physical systems (electrical, mechanical, hydraulic, etc.) for the purpose of system-level analysis and control design in the Simulink environment will be shown.
엔지니어가 디자인 하는 대부분의 시스템은 많은 분야가 통합 되어 구성됩니다. 물리적 시스템 측면에서 소프트웨어를 개발하는 것은 최적화된 디자인과 디자인 프로세스상에서 초기에 에러를 찾는데 있습니다. 본 세션에서는 Simulink환경에서 멀티 도메인(전자식, 기계식, 유압식 등)에 관련된 물리적 시스템을 시스템 레벨상에서 분석하고 제어 설계를 위한 툴을 소개합니다.
Steve Miller is responsible for the technical marketing of the physical modeling tools at The MathWorks. Steve joined The MathWorks as an Application Engineer in 2005 and moved to the Design Automation Marketing group at The MathWorks in 2006. Prior to that, Steve worked at Delphi Automotive in Braking Control Systems and at MSC.Software Adams consulting in various capacities at Ford, GM, Hyundai, BMW, and Audi. Steve has a B.S. in Mechanical Engineering from Cornell University and an M.S. in Mechanical Engineering from Stanford University.
13:30-14:20 - Advanced Signal Processing and Communications System Design Part 2: Elaborating Models for Embedded System Implementation 임베디드 시스템 구현을 위한 모델 활용
Ying-On Yan and Frank Liu, The MathWorks
This presentation builds on the previous topic and demonstrates the steps in elaborating system models for implementation. This includes converting floating-point designs into fixed-point designs; word length, saturation, and overflow considerations; and other practical issues that engineers need to address for embedded system implementation of advanced signal processing and communication systems.
이번 세션에서는 시스템 구현을 위해 각각 단계에서 모델을 활용하는 예를 보여드립니다. 세부 내용으로서는 부동 소수점 설계 모델을 고정 소수점으로 설계 변환 하는데 있어서, 데이터 워드 길이, 오버 플로어 발생 문제, 데이터값 포화와 같은 문제에 대해서 다룰 것 입니다. 그리고 임베디드 시스템 구현을 위한 강조되고 있는 실질적인 이슈들에 대해서도 논의될 것입니다.
Ying-On Yan is a Senior Engineer on the Signal Processing & Communications (SPC) Pilots team at The MathWorks, focusing on automatic C and HDL code generation for SPC applications. He also developed capabilities for low-density parity-check codes in the Communications Toolbox and the Communications Blockset.
Prior to joining The MathWorks, he worked on standard compliant chipsets based on OFDM technology and had extensive experience in simulation, software development, verification, and performance evaluation of real-time embedded systems. Ying-On received his Ph.D. in Electrical Engineering from Cornell University.
Frank Liu has been with The MathWorks since 2003, and currently works in the Technical Marketing Department focusing on the Signal Processing and Communications area. In his previous role at The MathWorks, he led the signal processing and communications application area in the Product Training Department. Prior to joining The MathWorks, he worked for General Dynamics developing algorithms and waveforms for Software Defined Radios. Frank Holds a Master’s in Electrical Engineering from Cornell University, where he specialized in communications systems. He has a Bachelor’s in Electrical Engineering from Tufts University.
14:20-15:10 - Using MATLAB and Simulink for Image and Video Processing MATLAB/ Simulink 환경을 이용한 이미지 및 영상 처리 알고리즘 및 어플리케이션 개발
매스웍스코리아 성호현 대리Ho-Hyun Sung, The MathWorks
이 세션에서는 MATLAB 과 Simulink를 이용한 이미지 및 영상 처리 어플리케이션 개발에 대한 내용을 보여드립니다. 세션의 MATLAB을 이용한 이미지 처리 어플리케이션 개발의 장점과 Simulink 환경을 이용한 영상 처리 시스템 개발의 여러 장점들과 프로세스를 보여드립니다. 이와 함께, 자동 코드 생성 기능을 통하여 DSP를 이용한 임베디드 시스템 개발도 함께 소개합니다.
본 세션은 MATLAB 과 Simulink를 이용하여 이미지 및 영상 처리를 위한 환경 구축 및 알고리즘과 어플리케이션 개발 작업을 하시는 분께 도움을 드립니다. MATLAB 과 Simulink를 처음 접하시는 분들도 참여 가능합니다.
매스웍스코리아
Ho-Hyun Sung has a B.S in Electrical Engineering from Chung-Ang University, Seoul. Since Howard joined The MathWorks in 2004, he has worked in Technical Support and he transferred to the LTC team in Application Engineering in 2006.
15:30-16:20 - Parallel Computing Environment with MATLAB MATLAB의 병렬 연산 처리 환경을 이용한 초고속 연산
매스웍스코리아 성호현 대리/이대훈Ho-Hyun Sung, The MathWorks
엔지니어들 및 수학 및 과학자들은 분석 및 연산 작업에 있어 데이터 셋의 크기는 점점 더 거대해지고 있고, 복잡도 또한 증가하고 있습니다. 이와 함께 이러한 환경을 다루기 위하여 더욱 빠른 연산 환경을 요구 되고 있습니다. MATLAB 에서는 이러한 기술적 요구를 충족하기 위해, 병렬 연산 처리를 통한 초고속 연산 기능 및 어플리케이션 개발 능력을 제공하고 있습니다. 이 세션에서는 MATLAB 제품들을 이용한 병렬 처리 환경의 구축 및 어플리케이션 개발 및 초고속 컴퓨팅의 데모를 보여드립니다.
본 세션은 MATLAB을 이용한 초고속 연산(High performance computing) 환경을 보여드립니다. MATLAB 및 Simulink 환경을 사용하시는 모든 분들 및 처음 접하시는 분들도 참여 가능합니다.
매스웍스코리아
Ho-Hyun Sung has a B.S in Electrical Engineering from Chung-Ang University, Seoul. Since Howard joined The MathWorks in 2004, he has worked in Technical Support and he transferred to the LTC team in Application Engineering in 2006.
14:20-15:10 - Code Generation and Verification for DSPs DSP 구현을 위한 코드 생성 및 검증
Ying-On Yan and Arun Mulpur, The MathWorks
This presentation focuses on utilizing elaborated models of signal processing communications systems and demonstrates the tools and methods for generating fixed-point and floating-point C code from the models for implementation on DSPs. The process of utilizing the executable specification as a test-bench to verify the embedded application will also be discussed and demonstrated.
이번 세션에서는 먼저 신호처리 및 통신 시스템 설계를 위해 모델을 활용하는 설명에 중점을 두고, 다음으로 DSP 구현을 위해 설계된 모델로부터 부동 소수점 및 고정 소수점 C 코드를 생성 하는 방법과 툴을 보여 드릴 것입니다. 그리고 임베디드 어플리케이션을 검증하기 위해 실행 가능한 스펙을 테스트 벤치로 활용 하는 과정 또한 보여드릴 것입니다.
Ying-On Yan is a Senior Engineer on the Signal Processing & Communications (SPC) Pilots team at The MathWorks, focusing on automatic C/HDL code generation for SPC applications. He also developed capabilities for low-density parity-check codes in the Communications Toolbox and the Communications Blockset.
Prior to joining The MathWorks, he worked on standard compliant chipsets based on OFDM technology and had extensive experience in simulation, software development, verification, and performance evaluation of real-time embedded systems. Ying-On received his Ph.D. in Electrical Engineering from Cornell University.
Arun Mulpur is a technical marketing manager at The MathWorks. He is focused on products, technology, and design flows related to design, simulation, implementation, and verification of signal processing and communications systems. Prior to joining The MathWorks, he worked at Visual Solutions, Inc. most recently as Director of Product Engineering. Arun has authored several refereed articles, book chapters, and technical articles and has presented at various conferences and workshops on topics related to nonlinear systems analysis, linear and nonlinear control systems, signal processing, Model-Based Design, hardware and software design methodologies, code generation, and verification. Arun has a Bachelor’s degree from Osmania University, India and Master’s and Doctorate degrees from University of Massachusetts Lowell – all in Electrical Engineering.
15:30-16:20 - PolySpace™ for Code Verification in Hand-Written and Automatically Generated Code C/C++코드 신뢰성 확보를 위한 PolySpace 활용
매스웍스코리아 이영준 차장Young Lee, The MathWorks Korea
제품 출시 후 발생하는 에러인 run-time error는 제품 개발 단계의 앞 부분에서 수정할수록 비용을 절감할 뿐만 아니라 제품에 대한 신뢰도를 높일 수 있습니다. 작성된 C/C++ 코드를 실제 컴파일과정 없이 run-time error가 없음을 검증할 수 있는 PolySpace에 대하여 소개 합니다.
매스웍스코리아 이영준
Young Lee holds a M.S. in Mechanical Engineering from Georgia Institute of Technology, a M.S. in Aerospace Engineering from Pusan National University, and a B.S. in Aerospace Engineering from Pusan National University. He worked in the area of control systems for his graduate studies at Georgia Tech. Before he joined The MathWorks in October 2005, he worked for Printing Division, Samsung Electronics for two years designing controls for laser printers.
15:30-16:20 - Code Generation and Verification for FPGAs FPGA구현을 위한 코드 생성 및 검증
Frank Liu and Arun Mulpur, The MathWorks
This presentation focuses on utilizing elaborated models of signal processing communications systems and demonstrates the tools and methods for generating synthesizable HDL code (VHDL or Verilog) from the models for implementation on FPGAs and ASICs. The process of utilizing the executable specification as a test-bench to verify the generated HDL code together with HDL simulators such as ModelSim or Cadence Incisive will also be discussed and demonstrated.
이번 세션에서는 Simulink에서 표현하기 까다로운 알고리듬을 임베디드 MATLAB 함수를 사용하여 Simulink에서 효율적으로 설계하는 방법을 소개 하고, FPGA 혹은 ASIC 구현을 위해 설계된 모델로부터 합성 가능한 HDL 코드를(VHDL 또는 Verilog) 생성하는 방법과 툴을 소개 할 것입니다. 또한 생성된 HDL 코드를 검증하기 위해 실행 가능한 스펙을 테스트 벤치로 활용하면서 ModelSim과 Cadence Incisive와 같은 HDL 시뮬레이터와 함께 연동해서 실험 하는 방법도 보여드릴 것입니다.
Frank Liu has been with The MathWorks since 2003, and currently works in the Technical Marketing Department focusing on the Signal Processing and Communications area. In his previous role at The MathWorks, he led the signal processing and communications application area in the Product Training Department. Prior to joining The MathWorks, he worked for General Dynamics developing algorithms and waveforms for Software Defined Radios. Frank Holds a Master’s in Electrical Engineering from Cornell University, where he specialized in communications systems. He has a Bachelor’s in Electrical Engineering from Tufts University.
Arun Mulpur is a technical marketing manager at The MathWorks. He is focused on products, technology, and design flows related to design, simulation, implementation, and verification of signal processing and communications systems. Prior to joining The MathWorks, he worked at Visual Solutions, Inc. most recently as Director of Product Engineering. Arun has authored several refereed articles, book chapters, and technical articles and has presented at various conferences and workshops on topics related to nonlinear systems analysis, linear and nonlinear control systems, signal processing, Model-Based Design, hardware and software design methodologies, code generation, and verification. Arun has a Bachelor’s degree from Osmania University, India and Master’s and Doctorate degrees from University of Massachusetts Lowell – all in Electrical Engineering.
16:20-17:00 - Improving Quality and Productivity with Verification and Validation Capabilities Verification과 Validation 기능을 통한 품질과 생산성 향상
Wensi Jin, The MathWorks
Verification and Validation (V and V) is the process of checking that a product or a system meets specifications and that it fulfills its intended purpose. It is a critical part of the product development process and key to ensuring product quality. Through simulation and testing capabilities in Model-Based Design, errors can be found early in the development process when the cost to fix them is less. This presentation provides an overview of a number of different aspects of V and V, including model standards checking using Model Advisor, test case generation using Simulink Design Verifier™, and test execution management using SystemTest™.
Verification과 Validation(V&V)는 제품이나 시스템이 명세서를 만족 시키고 의도한 목적에 맞게 동작하는지를 체크하는 과정이다. 제품 개발 과정에서 중요한 과정이며, 제품의 질을 확신할 수 있는 중요한 부분입니다. 모델 기반 설계(Model-Based Design)에서 시뮬레이션과 테스트를 통하여, 에러는 개발과정의 초기 단계에서 발견 될 수 있으며, 초기에 에러를 수정할 경우 많은 비용을 줄일 수 있습니다. 본 세션에서는 Model Advisor를 통한 모델의 표준 체크, Simulink Design Verifier를 통한 테스트 케이스 생성 그리고 SystemTest를 통한 테스트 실행 환경의 관리등과 같은 다양한 V&V의 관점을 보여 드릴 예정입니다.
Simulink® Design Verifier제품은 사용자가 만든 Simulink와 Stateflow® 모델에 대한 테스트를 제공하며, 모델 속성들을 검증합니다. 이 제품은 모델 커버리지 요구사항에서부터 MC/DC까지를 만족시키기 위한 테스트를 만드는 것을 도와주는 제품으로, 속성 검증은 시뮬레이션으로만 테스트 할 수 없는 기능적인 요구 사항을 표현하고 검증할 수 있게 합니다.
Wensi Jin is the Automotive Industry Marketing Manager for North America and Asia Pacific. He is responsible for supporting industry adoption of Model-Based Design and MathWorks tools. Prior to joining The MathWorks, he worked on real-time simulation and hardware in-the-loop test systems, first as an applications engineer then as a business development manager. He also worked as a development engineer focusing on automatic transmissions control systems at General Motors Powertrain. Wensi holds a degree in Electrical Engineering from the University of Texas at Austin.
Master Class I
13:30-14:20 - MATLAB 데스크탑 환경을 이용한 데이터 분석
Danny Lee, The MathWorks Korea
본 마스터클래스는 MATLAB의 데스크탑 환경의 다양한 유저 인터페이스의 기능을 이용하여, data 수집 및 plotting, 통계 분석 및 선형 회귀 분석 등의 작업을 수행하는 방법을 보여 드립니다. 아울러 MATLAB 에서의 데이터 타입 정의 및 MATRIX 데이터를 사용하기 위한 인덱싱 방법 등을 예제와 함께 보여드리며, MATLAB을 이용한 간단한 프로그래밍 방법을 소개해 드립니다.
[참석 대상] MATLAB을 처음 이용하시는 모든 분Danny Lee is an Application Engineer, The MathWorks Korea
14:20-15:10 - MATLAB을 이용한 데이터 측정 장비로부터의 데이터 수집 및 응용
Danny Lee, The MathWorks Korea
본 마스터클래스는 MATLAB과 외부 데이터 수집 장치들과의 연동 방법을 소개합니다. 또한 외부 데이터 수집 장치와의 MATLAB의 인터페이스 활용 및 테스트 알고리즘 개발 환경 소개, 계측기와 MATLAB 과의 통신 및 계측장비 제어 방법 소개 및 자동화 어플리케이션 개발 환경에 대한 내용을 보여드립니다. 이와 함께 MATLAB으로 개발된 어플리케이션을 단독 실행 가능한 어플리케이션으로 개발하는 방법에 대해서도 실제 응용 예제와 함께 보여드립니다.
[참석 대상] MATLAB을 이용하여 시험 및 테스트 작업을 하시는 분 과 자동화 어플리케이션을 개발 하시려는 분
MATLAB을 처음 이용하시는 모든 분.
Danny Lee is an Application Engineer, The MathWorks Korea
15:30-16:20 - Physical Modeling
Steve Miller, The MathWorks
In this session, we will have a brief overview of the physical modeling tools. We will then take a specific example and show the various stages of plant model and system development. Important topics we will cover include multidomain modeling, assigning parameter values, balancing the tradeoff of model fidelity and simulation speed, and controller design.
Steve Miller is responsible for the technical marketing of the physical modeling tools at The MathWorks. Steve joined The MathWorks as an Application Engineer in 2005 and moved to the Design Automation Marketing group at The MathWorks in 2006. Prior to that, Steve worked at Delphi Automotive in Braking Control Systems and at MSC.Software Adams consulting in various capacities at Ford, GM, Hyundai, BMW, and Audi. Steve has a B.S. in Mechanical Engineering from Cornell University and an M.S. in Mechanical Engineering from Stanford University.
16:20-17:00 - MATLAB GUI 설계 및 활용
Sang-Ho Yoon, The MathWorks Korea
본 마스터클래스는 MATLAB의 Graphical User Interface (GUIs) 제작을 위한 기본적 개념 소개와 graphical user interface development environment (GUIDE)의 사용법을 간단한 예제를 통하여 설명드립니다.
[참석 대상] MATLAB 사용 경험이 있으면서 MATLAB GUI 제작에 관심 있으신 분
Sang-Ho Yoon is a Training Engineer on the Product Training Department at The MathWorks. He has been teaching The MathWorks training courses focusing on Control Design and Production Code Generation. Prior to joining The MathWorks in 2006, he worked in Central R&D Center, Mando Corporation for 5 years developing Control Systems of Automotive Chassis. He is specialized in dynamics analysis and control algorithm development. He has a B.S in Mechanical Engineering from KyungHee University.
Master Class II
13:30-14:20 - Simulink에서 외부 데이터 활용
Sang-Ho Yoon, The MathWorks Korea
본 마스터클래스는 Simulink 모델 내에서 기존에 존재하는 데이터를 활용하여 Simulation을 구현하는 방법을 소개해 드립니다.
[참석 대상] MATLAB과 Simulink의 기초적인 사용 경험만 있으면서 기존 데이터를 Simulink 내에서 활용하고자 하시는 분
Sang-Ho Yoon is a Training Engineer on the Product Training Department at The MathWorks. He has been teaching The MathWorks training courses focusing on Control Design and Production Code Generation. Prior to joining The MathWorks in 2006, he worked in Central R&D Center, Mando Corporation for 5 years developing Control Systems of Automotive Chassis. He is specialized in dynamics analysis and control algorithm development. He has a B.S in Mechanical Engineering from KyungHee University.
14:20-15:10 - State Machine 모델링을 위한 Stateflow 활용
Young Lee, The MathWorks Korea
본 마스터클래스는 State와 transition의 소개로부터 Stateflow의 기본적인 부분의 설명을 간단한 예제를 통하여 보여줌으로써, finite state machine을 Stateflow에서 모델링하는 방법을 보여 드립니다.[참석 대상] MATLAB과 Simulink 사용 경험이 있으면서 State machine을 구현하고자 하시는 분
Young Lee holds a M.S. in Mechanical Engineering from Georgia Institute of Technology, a M.S. in Aerospace Engineering from Pusan National University, and a B.S. in Aerospace Engineering from Pusan National University. He worked in the area of control systems for his graduate studies at Georgia Tech. Before he joined The MathWorks in October 2005, he worked for Printing Division, Samsung Electronics for two years designing controls for laser printers.
15:30-16:20 - 외부 코드와 자동 생성된 코드의 연동
Sang-Ho Yoon, The MathWorks Korea
본 마스터클래스는 Real-Time Workshop® Embedded Coder™를 통하여 Simulink 모델로부터 생성된 코드의 기본적인 구조와 생성된 코드의 활용방법에 대하여 간단한 예제를 통하여 설명드립니다.
[참석 대상] Simulink 사용 경험이 있으면서 자동코드 생성에 대해 궁금하신 분
Sang-Ho Yoon is a Training Engineer on the Product Training Department at The MathWorks. He has been teaching The MathWorks training courses focusing on Control Design and Production Code Generation. Prior to joining The MathWorks in 2006, he worked in Central R&D Center, Mando Corporation for 5 years developing Control Systems of Automotive Chassis. He is specialized in dynamics analysis and control algorithm development. He has a B.S in Mechanical Engineering from KyungHee University.
16:20-17:00 - Simulink를 이용한 QAM system 설계
James Kim, The MathWorks Korea
본 마스터클래스는 Signal Processing Blockset을 이용하여 기본적인 신호처리 시스템을 생성 하고 난 뒤, 4/16/64 QAM 시스템을 설계하는 예제를 보여 드립니다. 또한 설계된 모델로부터 다양한 환경에서 BER 실험을 효율적으로 할 수 있는 방법을 소개 합니다.
James Kim has a B.S. in Electronic Engineering from Kyeongpook National University and a M.S. in Electronic Engineering from Kyeongpook National University. He specialized in digital signal processing and communications. He joined The MathWorks in 2006, after 4.5 years doing projects of IMT2000 and Wireless LAN at C&S Technology, 1 year developing modification version of GSM at Open Solution and 1 year developing DVB-T at silicone Vine. He is an expert user of SPW.