대구대학교
GRADUATE SCHOOL

Course Title

Research Works

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Smart fusion system engineering required by a master's thesis perform the tasks related to the performance of basic research.

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Computer Vision

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This subject defines theories for image interpretation by computers. It introduces algorithms such as model of image formation, initial processing, detection of boundaries, extension and segmentation of regions, motion detection, matching, and morphology, as well as theories such as statistical models, discrimination functions, decision boundaries and laws, and neural networks.

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Digital Control

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Digital computers play a key role in many control systems in industrial sites. Due to the recent development of computers that can be revolutionary, and the resulting improvement in the excellence of digital signal processing, digital control is being used more in the industry than analog control. In addition, due to the use of low-cost microprocessors or microcomputers, it has become common to build a small control system equipped with a digital computer to obtain optimal performance. The purpose of this course is to promote a comprehensive understanding of the interpretation and design of digital control systems. In particular, concepts related to learning digital control systems are explained clearly and easily.

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Sensor System Design

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We learn techniques to simulate sensor structure design and function using CAD/CAE S/W such as Algor and SVS.

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Human Computer Interaction

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The primary objective of this course is to understand Human and Computer Interaction technology. Topics include: Usability, Safety, Efficiency and Effectiveness in terms of Human-oriented Computer systems. The students will gain not only the knowledge of system deigns and evaluations but also the practical technology to develope Human oriented system.

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Statistical Decision Analysis

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Statistical analysis methods related to management decision making, government and public policy making are introduced in this course. Theories aboutstatistical analysis and practice using statistical package will be provided. Linear regression model, residual analysis, multivariate analysis, principal component analysis, cluster analysis, and factor analysis will be discussed in the course.

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Seminar

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By selecting topics in various areas that have recently been actively developed or studied in related fields, experts inside and outside the school are invited, seminars, or discussions are conducted to learn the latest technology trends in the field.

Course Title

Design of Experiments

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Industrial policy development or technology development require testing hypotheses through various experiments. Experiments should be efficiently planned, statistically processed, and analyzed for the fundamental scientific approach. This course covers various methodologies and applications of the experiments design. Basic statistical processing methods such as data preparance, statistical distribution functions, estimation and test. It also covers experimental planning and analysis methods such as one-way, two-way, factor, and orthogonal array methods. MINITAB statistical analysis packages will be used for practical application.

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Measurements and Signal Processing

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Ultimately, we study the techniques of production quality management and preservation of large device structures along with unit automation technologies through new measurement technologies and system technologies based on the latest sensor technologies.

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Mechatronics Applications

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We study how to design and realize Mechatronics systems suitable for the purpose by synthesizing knowledge of computers, machinery, electricity, and electronics. Among the various systems, the target system is selected from the areas of interest of the learner, such as an automation system, a robot system, a medical system, a sensor system, and a control system. Basically, a system including a microprocessor, a driving unit, a sensor unit, and a mechanism unit interprets a sensor signal by intelligence and autonomously determines it to operate the mechanism unit using the driving unit. Through taking this course, the student designs and interprets the system, and if possible, actually implements it.

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Intelligent Vehicles

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This subject learns the basic structure and operation principles of electric vehicles (hybrid electric vehicles, plug-in hybrid electric vehicles, electric vehicles, hydrogen fuel cell vehicles) and comprehensively discusses functions and system configurations of electric vehicles' core parts and technologies.

Course Title

Writing Thesis

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Teach the essentials you need to know to write a good research paper. Those factors include a correct understanding of graduate degree courses, how to do good research, how to make good presentations, how to take notes, how to write research papers, how to write patents, how to write technical papers, how to write papers, and how to do case studies.

Course Title

Image Processing Algorithm

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Mathematical modeling, sampling, space and time resolution, human visual system, quantization theory, two-dimensional signal processing, two-dimensional transformation, frequency analysis, filtering, image quality improvement, color space and color processing, compression, and restoration techniques are introduced.

Course Title

Advanced Robotic

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Autonomous mobile robots are one of the target systems that can best apply and study artificial intelligence theory. In this subject, we learn and study how mobile robots interpret sensor signals with intelligence and autonomously judge from them to determine appropriate actions on their own to realize a given task. First, I will briefly introduce artificial intelligence. In addition, we study how to find out information by interpreting sensor signals, how to plan motion using given target tasks and sensor information, navigation, obstacle avoidance, etc. And through actual experiments, existing techniques are analyzed and more efficient methods are proposed. Through this, we study feasible artificial intelligence that combines theory and experiment.

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Industry-Academic Project

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This course is the R&D project program of industry and academic to solve the problems required by industry.

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Advanced Control Engineering

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We present an evaluation function that is the basis for the design of the control system and teach how to obtain a controller that minimizes a given evaluation function. It deals with the contents of dynamic programmin, variational method, Euler-Lagrange equation, Hamilton-Jacobi-Bellman equation, and maximum principal.

Course Title

Numerical Analysis and Modeling

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Numerical methods for analyzing electromagnetic fields, especially finiteIt deals with theories and algorithms calculated using the FEM method. It studies basic theories such as Variational method, Dirichlet, Neumann boundary conditions, Rayleigh-Ritz method, and Garlerkin's method, and deals with finite elements, discretization, and assembly processes. Based on this, the electrostatic and static field analysis theory is formulated, and the electric and magnetic fields of various shapes are analyzed using a commercially available finite element package.

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Linear Control System

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The analysis method of continuous and discrete-time linear systems is considered. We consider convolution, solutions of dynamic equations, transformations, and linear algebra. The emphasis is on system technology in state space. It deals with linear space, concept of state variables, mode, controllability, observability, state transition matrix, state trajectory control, compensator design, decoupling, etc.

Course Title

Advanced Image Processing

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This subject discusses in-depth the theoretical basis and practical applications of multimedia, especially image, video communication, and image processing and video transmission technologies to be considered when transferring media over multiple networks. It covers in-depth streaming communication protocol techniques such as video signal characteristics and processing theory, video coding theory and H.26x, MPEG-1/2/4 standard compression techniques, hierarchical video coding related to video communication, transmission error control techniques, and RTP/RTCP over IP networks.

Course Title

Advanced Automation System

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With the development of information and communication technology, the operation of the power system is also automated so that the transaction of electric energy can be carried out smoothly as the power market of the free competition system is formed. As the restructuring of the power industry to adapt to this trend is being actively promoted in Korea, the demand for high-quality professionals for the operation of the power system equipped with information and communication technology will increase rapidly in the future. Therefore, the basics of automation technology for the operation of the power system that such professionals should have are taught. In particular, it deals with the types, characteristics, and development techniques of software to be used in the free competitive market for electrical energy, including the operation of economic power systems and various optimal tidal current calculation techniques.

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Artificial Intelligence SW

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It is applied to the structural representation and model composition and management of the simulation model using artificial intelligence knowledge representation techniques, and the expert system is inserted into the simulation model using the inference method.

Course Title

Field Project 1

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The goal of this course is to develop the ability of incumbent people to identify problems occurring in the field. By identifying problems that occur in the field, it can help you learn how to solve problems in related subjects in the future.

Course Title

Field Project 2

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The goal of this course is to develop the ability of incumbent people to identify problems occurring in the field. By identifying problems that occur in the field, it can help you learn how to solve problems in related subjects in the future.

Course Title

Human Computer Interaction

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This subject understands the concepts and characteristics of human and computer interaction. We learn user interface design, rapid prototyping, multimodal interfaces, and artificial intelligence interaction techniques.

Course Title

Mobile App Programming

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This course learns how to develop apps based on Android platform, which is a mobile OS. Understand the characteristics of various mobile platforms and learn mobile application programming techniques. In particular, an app development project task using block coding is performed.

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IoT Project Development

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This subject is a project-based learning (PBL) practice subject that develops IoT projects using Arduino. Students learn how to develop projects by linking various sensors and Arduino and perform project development tasks.

Course Title

Intelligent Sensor Fusion System

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This course covers sensors and inter-sensor fusion used in various intelligent systems. In detail, it consists of the hardware and sensor characteristics of intelligent sensors, cognitive and location recognition algorithms through them, artificial intelligence applications, hardware platforms, and various convergence algorithm technologies between heterogeneous sensors.

Course Title

Advanced Deep Learning

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This subject deals with the design of a deep learning framework for implementing deep learning algorithms. In detail, it first examines Python-based frameworks and C/C++-based frameworks, and deals with algorithm execution and robot/autonomous driving applications through framework design on various hardware.

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Advanced Computer Graphics

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We introduce the research results of modeling, rendering, and animation, which are the basic fields of computer graphics theory, and learn how the basic structure of standard graphics pipelines is implemented and utilized in game engines. By understanding what theory the features provided by various graphic application software are designed based on, it is possible to increase the utilization of related software, especially game engines.

Course Title

System Modeling and Simulation

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System modeling and simulation is a tool for analysis, optimization, and verification of target real-world systems’ performance. This course covers theories in the lifecycle of system modeling and simulation, such as classification of simulated systems, basic concepts of modeling, model expression methods, simulation algorithms, and statistical analysis of simulation results.

Course Title

New Industrial Convergence and Entrepreneurship

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Industrial convergence is a global trend that fundamentally changes the paradigm of industry by creating new products, markets and services. This course mainly focuses on new industry convergence policies and case studies. Creative industrial convergence policies, plans to create new industrial convergence markets and strengthen capabilities will be discussed. It also explains essential information and infrastructures to promote industrial convergence. Case studies on leading companies and products for industrial convergence will be studied.

Course Title

Advanced Smart Convergence Technology

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In this course, students learn the basic data research method for future related research by studying the development status of smart convergence electronic devices and introducing the latest technology trends.

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Advanced Artificial Intelligence Applications

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In this course, students learn basic theories and applications of artificial intelligence technology, and learn basic concepts and industrial usefulness of artificial intelligence through concrete and practical application examples.

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Advanced Smart Image Media

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In this course, basic theories for smart video media are studied, and statistical image processing techniques such as Bayesian estimation, ML (maximum likelihood), and PCA (principal component analysis) are mainly introduced.