• Journal of the Korean Society for Precision Engineering
• /
• v.16 no.7
• /
• pp.85-93
• /
• 1999

In this study, PC-based slicing machine and driving software were constructed for the purpose of automation of semi-conductor cutting process. The biggest feature of software is variation of parameter and include data base, signal monitoring, error report, corresponding action or automatic motion planing. Parameters were drawn and algorithms were developed to make software by GUI interface. The cutting experiment was done for sampled wafer to see the effectiveness of the soft automation. From the experimented and implemented results, it is shown that parameters for automation of slicing process could be drawn, then its algorithms constructed. It could be considered what is the merit of this slicing machine by comparing the PC-based and the NC-based.

• International conference on construction engineering and project management
• /
• 2009.05a
• /
• pp.1075-1080
• /
• 2009

Recently, the building construction industry has been forced to cope with lack of skilled labor. A robot-based construction automation system should help overcome crucial troubles which may be caused by this phenomenon. In particular, it is vital to propose design for automation (DFA). Quality function deployment (QFD) is applied a systematic aid in determining the design reflecting customer's needs. This study employs the QFD approach to plan the component designs of an effective automation process, and presents the development process of DFA with an illustrative project. As a result, the study identifies the developers' design requirements for automated construction and weights them by their importance indices.

• Journal of KIBIM
• /
• v.11 no.4
• /
• pp.53-62
• /
• 2021

The successful implementation of Scan-to-BIM automation depends on the entire process from scanning of buildings, including indoor facilities and furniture, to generating BIM models. However, the conventional Scan-to-BIM process requires a lot of time, manpower, and cost for the manual generation of BIM models including indoor objects. To solve this problem, this study applied a Scan-to-BIM automation process using a deep learning model and parametric algorithm to an existing building, Kangwon Fire Service Academy. To improve the accuracy of the BIM model, after object data was extracted from the scan data, the data was corrected according to actual object-specific conditions. As a result, the accuracy of the BIM model created by the proposed Scan-to-BIM automation process was 91% compared to the actual area of the construction drawings. In addition, it was confirmed that the BIM objects were automatically generated for 10 object classes.

• 제어로봇시스템학회:학술대회논문집
• /
• 2003.10a
• /
• pp.700-705
• /
• 2003

In this paper, an extended process model is proposed for the application of flexible belt grinding equipment as utilized in robotic grinding. The analytical and experimental results corresponding to grinding force, material removal rate (MRR) and contact area in the robotic grinding shows the difference between the conventional grinding and the flexible robotic grinding. The process model representing the relationship between the material removal and the normal force acting at the contact area has been applied to robotic programming and control. The application of the developed model in blade grinding demonstrates the effectiveness of proposed process model.

• Journal of the Korean Society for Precision Engineering
• /
• v.29 no.10
• /
• pp.1043-1049
• /
• 2012

The FEM analysis of machine tools is the general analysis process to evaluate machine performance in the industry for a long time. Despite advances in FEM software, because of difficult simplicity of CAD drawing, little experience of joints stiffness modeling and troublesome manual contact area divide for bindings, the industry designers think the FEM analysis is still an area of FEM analysis expert. In this paper, the automation of modeling process with simplicity of drawing, modeling of joints and contact area divide is aimed at easy FEM analysis to enlarge utilization of a virtual machine tools. In order to verify the effects of modeling automation, a slant bed type model with tilting table is analyzed. The results show FEM modeling automation method only needed 45 minutes to complete the whole modeling process, while manual modeling method requires almost one month with 8200 calculations for coordinate transformations and stiffness data input.

• 제어로봇시스템학회:학술대회논문집
• /
• 2005.06a
• /
• pp.1137-1140
• /
• 2005

Automatic welding has been used frequently on pipeline projects. The productivity and reliability are most essential features of the automatic welding system. The mechanized GMAW process is the most widely used welding process and the carriage and band system is most effective welding system for pipeline laying. This application-oriented paper introduces new automatic welding equipment for pipeline construction. It is based on cutting-edge design and practical welding physics to minimize downtime. This paper also describes the control system which was designed and implemented for new automatic welding equipment. The system has the self diagnostic function which facilitates maintenance and repairs, and also has the network function via which the welding task data can be transmitted and the welding process data can be monitored. The laser vision sensor was designed for narrow welding groove in order to implement higher accuracy of seam tracking and fully automatic operation.

• The Journal of the Convergence on Culture Technology
• /
• v.7 no.1
• /
• pp.545-550
• /
• 2021

In this paper, a university curriculum of Automation Robotics Process(RPA) among several goals for digital transformation of companies was developed. In the process of the development of ICT technology and the 4th industrial revolution, the existing analog information has changed through the stages of digitization, digitalization, and digital transformation. Recently, digital transformation has been cited as an essential survival strategy following a disruptive revolution that changes the paradigm of existing industrial systems and business. It is defined as a continuous process by which a company adapts to or promotes disruptive changes in customers and markets by using digital capabilities to create new business models, products and services. To this end, process automation in companies or organizations is an important factor. Accordingly, the need for a curriculum of robotics processes automation in universities has been raised according to these changes, and the related education contents, which have been centered on companies, have been redesigned to introduce the curriculum for universities. Education contents are composed to help students to attain certificates of essential or advanced of AA.

• Journal of the Korean Society for Precision Engineering
• /
• v.23 no.10
• /
• pp.7-13
• /
• 2006

• 제어로봇시스템학회:학술대회논문집
• /
• 1987.10b
• /
• pp.209-213
• /
• 1987

This paper presents decentralized discrete-time system which is optimized by hierarchical control for process automation via the extended interaction balance method. This proposed method can control general matrix which input matrix is not block diagonalization. Also, this paper shows convergence condition of proposed method.

• Journal of Convergence for Information Technology
• /
• v.12 no.1
• /
• pp.163-170
• /
• 2022

With the advent of the 4th Industrial Revolution, solutions that apply AI technology are being actively developed. Since 2017, the introduction of business automation solutions using AI-based Robotic Process Automation (RPA) has begun in the financial sector and insurance companies, and recently, it is entering a time when it spreads past the stage of introducing RPA solutions. Among the business automation using these RPA solutions, it is very important how accurately textual information in the document is recognized for business automation using various documents. Such character recognition has recently increased its accuracy by introducing deep learning technology, but there is still no recognition model with perfect recognition accuracy. Therefore, in this paper, we checked how much accuracy is improved when pre- and post-processor technologies are applied to deep learning-based character recognition engines, and implemented RPA recognition engines and linkage technologies.