• Journal of the Korean Society for Precision Engineering
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• v.30 no.4
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• pp.427-433
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• 2013

Stair climbing is one of critical issues for field robots to widen applicable areas. This paper presents optimal design on kinematic parameters of a new robotic platform for stair climbing. The robotic platform climbs various stairs by body-flip locomotion with caterpillar type main platform. Kinematic parameters such as platform length, platform height, and caterpillar rotation speed are optimized to maximize stair-climbing stability. Three types of stairs are used to simulate typical user conditions. The optimal design process is conducted based on Taguchi methodology, and resulting parameters with optimized objective function are presented. In near future, a prototype is assembled for real environment testing.

• Korea Science and Art Forum
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• v.30
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• pp.33-40
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• 2017

The study has been initiated on the background of rapidly changing environment, and from the perspectives that new ecological systems are continuously generated accordingly in various fields. Recently, ICT platform, which is the platform related to information communication, has drawn much attention, and many tools are being made that can design and implement documents in a specific on-line space by utilizing UI/UX authoring tools for on-line contents sharing platforms which are public platforms for industrial and educational uses. Following these trends, actual building environment for 'XElF', a newly developed on-line contents sharing platform, and actual design proposal for UI/UX authoring tools will be described according to the sequences of building the platform. Before this design proposal is actually utilized in the future, opinions have been collected from related persons through an actual survey. Efforts are being made to reduce problems, which can be generated in the future in the actual on-line contents education environment, through the results of the study so that the platform can be produced without errors. The final results for this matter are planned to be posted by papers in the future.

• Journal of information and communication convergence engineering
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• v.6 no.4
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• pp.376-382
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• 2008

Developing highly cost-efficient and reliable embedded systems demands hardware/software co-design and co-simulation due to fast TTM and verification issues. So, it is essential that Platform-Based SoC design methodology be used for enhanced reusability. This paper addresses a reusable SoC platform based on OpenCores soft processor with reconfigurable architectures for hardware/software codesign methodology. The platform includes a OpenRISC microprocessor, some basic peripherals and WISHBONE bus and it uses the set of development environment including compiler, assembler, and debugger. The platform is very flexible due to easy configuration through a system configuration file and is reliable because all designed SoC and IPs are verified in the various test environments. Also the platform is prototyped using the Xilinx Spartan3 FPGA development board and is implemented to a single chip using the Magnachip cell library based on $0.18{\mu}m$ 1-poly 6-metal technology.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.37 no.3
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• pp.89-98
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• 2014

Platform-based product family design is recognized as an effective method to satisfy the mass customization which is a current market trend. In order to design platform-based product family successfully, it is the key work to define a good product platform, which is to identify the common modules that will be shared among the product family. In this paper the clustering analysis using dendrogram is proposed to capture the common modules of the platform. The clustering variables regarding both marketing and engineering sides are derived from the view point of top-down product development. A case study of a cordless drill/drive product family is presented to illustrate the feasibility and validity of the overall procedure developed in this research.

• 한국정보디스플레이학회:학술대회논문집
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• 2005.07b
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• pp.863-864
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• 2005

In recent years, we use overdriving scheme to improve the response time of the liquid crystal. Since conventional overdriving scheme uses memory to perform ideal processing, it is desired to reduce system cost by decreasing the data stored in these SDRAMs. As a general compression method, quantization, sub-sampling and Block Truncation Coding ( BTC ) are used, which process data in block base and cause block effect. So we proposed new data compression method by color space conversion. Because this method compresses luminance and chrominance signal by different ratio, it can efficiently reduce error of block effect in decompression image.

• Korean Journal of Computational Design and Engineering
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• v.19 no.4
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• pp.434-442
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• 2014

Most manufacturing enterprises create CAD data as a result of the product/part design process; however, the CAD data is being utilized only for production activities. Besides the processes directly related to manufacturing such as design and production, the CAD data is an important resource that can be used in variety of services (e.g., catalog production and production manuals) for manufacturing enterprises. This study proposes a software platform that can support a wide range of services for manufacturing companies in an efficient and productive way. The software platform was designed based on the functions identified by requirement analysis. The platform consists of four layers: data model layer to manage relevant data; library layer and common function layer to configure services; and application layer to install and run the software. Finally, this study evaluates the validity of the proposed platform architecture by applying it to the digital catalog system.

• KIEAE Journal
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• v.8 no.2
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• pp.71-78
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• 2008

Subway is a major transportation in the city that is allied to the daily life of people. As a public space, subway station must satisfy the citizens with convenience, safety and esthetic factors. The bench which is one of the major street furniture on the subway platform has a lot of physical contact. Therefore the design of benches must be considered in the aspects of not only aesthetic design but also ergonomic design. The goal of this study is to find out the current conditions and problems of benches and at the same time suggest how to arrange, design, and manage them at the proper manners at subway platform. The result of the study is as follows. First, the problems of design are that the benches at a same platform have various design, the saturation of color is too high, and the design is unfashionable. The second, at the management part there is no such a total management system and specialist for the street furniture section and lack of rational management regulations. The third, results of a new survey suggest that citizens think negatively about present bench's conditions such as design and administration.

• International journal of advanced smart convergence
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• v.12 no.4
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• pp.202-207
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• 2023

In this paper, we discuss the design and implementation of a recommendation platform actually built in the field. We survey deep learning-based recommendation models that are effective in reflecting individual user characteristics. The recently proposed RNN-based sequential recommendation models reflect individual user characteristics well. The recommendation platform we proposed has an architecture that can collect, store, and process big data from a company's commercial services. Our recommendation platform provides service providers with intuitive tools to evaluate and apply timely optimized recommendation models. In the model evaluation we performed, RNN-based sequential recommendation models showed high scores.

• Journal of Korea Society of Digital Industry and Information Management
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• v.11 no.3
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• pp.1-9
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• 2015

In this paper, we implemented the computer vision platform design with MEAN Stack through Raspberry PI 2 model which is an open source platform. we experimented the face recognition, temperature and humidity sensor data logging with WiFi communication under Raspberry Pi 2 model. Especially we directly made the shape of platform with 3D printing design. In this paper, we used the face recognition algorithm with OpenCV software through haarcascade feature extraction machine learning algorithm, and extended the functionality of wireless communication function ability with Bluetooth technology for the purpose of making Android Mobile devices interface. And therefore we implemented the functions of the vision platform for identifying the face recognition characteristics of scanning with PI camera with gathering the temperature and humidity sensor data under IoT environment. and made the vision platform with 3D printing technology. Especially we used MongoDB for developing the performance of vision platform because the MongoDB is more akin to working with objects in a programming language than what we know of as a database. Afterwards, we would enhance the performance of vision platform for clouding functionalities.

• Proceedings of the Korea Society of Design Studies Conference
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• 2004.05a
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• pp.302-303
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• 2004