• Journal of the Semiconductor & Display Technology
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• v.21 no.4
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• pp.168-173
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• 2022

As the function of a product is advanced and the process is refined, the yield in the fine manufacturing process becomes an important variable that determines the cost and quality of the product. Since a fine manufacturing process generally produces a product through many steps, it is difficult to find which process or equipment has a defect, and thus it is practically difficult to ensure a high yield. This paper presents the system architecture of how to build a smart manufacturing system to analyze the big data of the manufacturing plant, and the equipment factor analysis methodology to increase the yield of products in the smart manufacturing system. In order to improve the yield of the product, it is necessary to analyze the defect factor that causes the low yield among the numerous factors of the equipment, and find and manage the equipment factor that affects the defect factor. This study analyzed the key factors of abnormal equipment that affect the yield of products in the manufacturing process using the data mining technique. Eventually, a methodology for finding key factors of abnormal equipment that directly affect the yield of products in smart manufacturing systems is presented. The methodology presented in this study was applied to the actual manufacturing plant to confirm the effect of key factors of important facilities on yield.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.200-203
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• 2021

This paper introduces a smart mirror technology that recognizes a person's facial expressions through image classification among several artificial intelligence technologies and presents them in a mirror. 5 types of facial expression images are trained through artificial intelligence. When someone looks at the smart mirror, the mirror recognizes my expression and shows the recognized result in the mirror. The dataset fer2013 provided by kaggle used the faces of several people to be separated by facial expressions. For image classification, the network structure is trained using convolution neural network (CNN). The face is recognized and presented on the screen in the smart mirror with the embedded board such as Raspberry Pi4.

• Journal of The Korean Association of Information Education
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• v.18 no.4
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• pp.483-490
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• 2014

Smart classrooms have been set up nationwide to utilize smart devices for teaching and learning in the knowledge- based society, As this trend might quickly spread, we have investigated the utilization levels, and issues around the facilities from the experienced teachers. In order to study the impact of easy access to smart devices, the teacher sampling groups were divided into two: one teacher group responsible for smart classrooms and the other group teaching in ordinary classrooms. Survey questions dealt with teacher needs analyses, their expectation of their students' attitude changes, their satisfaction and utilization levels of smart devices currently built in classrooms. The results showed us that teachers have vague expectation about the smart devices and want more highly applicable devices for instruction, improvement of their compatibility with other multimedia devices or applications as well as to improve the resolution of electronic boards. and basic functions of information search and videos that they use everyday.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.10a
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• pp.224-227
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• 2015

Data transmission via the car driver's tethered smart phone may have a volume-dependent billing in case car driver' phone transmits data in real-time to the remote data center. The on-board diagnosis data generated are temporary stored locally to mobile remote diagnosis application on the car driver's phone, and then transmit to the data center later when car driver connects to the Internet. To increase the easiest of using the remote vehicle application without blocking other tasks to be executing on the cloud, node.js stands as a suitable candidate for handling tasks of data storage on the cloud via mobile network. We demonstrate the effectiveness of the proposed architecture by simulating a preliminary case study of an android application responsible of real time analysis by using a vehicle-to- smart phones applications interface approach that considers the smart phones to act as a remote user which passes driver inputs and delivers output from external applications. In this paper, we propose a study on development of Remote Vehicle fault diagnostic system features web server architecture based event loop approach using node.js platform, and wireless communication to handle vehicle diagnostics data to a data center.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.42 no.1
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• pp.218-226
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• 2017

In this paper, optical transport network in real time monitoring system using smart phone. The existing housing using monitoring was a smart phone of optical transport network access switch about an event with new installation of cognitive system in real time. This paper can this problem to be solved of the invention in real time maintenance using smart phone application and optical cable closure switch. If you want to find optical cable closure fault location, this smart phone web is very useful. Cable tie is isolation of fiber spare board from fiber switch tie occur push message. Housing and access, and an external failures otdr the measurement of the global positioning to be able to easily using the This paper can find event of optical cable closure unauthorized work and fault using smart phone OTDR function. the optical cable fault time reduction and network transport quality by managing real time optical cable section by using the smart phone can be maintained efficiently.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.10a
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• pp.503-506
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• 2015

In accordance with IoT(Internet of Things) commercialization, the need to design SoC-based hardware platform with wireless communication is increasing. This paper therefor proposes an SoC platform architecture with Smart Frame System inter-communicating between devices. Wireless communication functions and high-performance real-time image processing hardware structure was applied to existing digital photo frame. We developed a smart phone application to control the smart frame through Bluetooth communication. The SoC platform hardware consists of CIS controller, Memory controller, ISP(Image Signal Processing) module for image scaling, Bluetooth Interface for inter-communicating between devices, VGA/TFT-LCD controller for displaying video. The Smart Frame System to support the IoT services was implemented and verified using HBE-SoC-IPD test board equipped with Virtex4 XC4VLX80 FPGA. The operating frequency is 54MHz.

• Journal of the Korea Convergence Society
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• v.10 no.12
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• pp.1-6
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• 2019

In this paper, we have developed an app that can control IPTV - Miracast and the Internet with Android 7.0 on the embedded board. The app can be controlled by the remote control of IPTV and can receive TV when using IPTV. And Miracast and Embedded board are put into the power saving mode. When one mode is selected in this way, the other two modes enter the power saving mode and the power saving control technology is applied to reduce energy consumption. The board used in this paper was Android version 7.1.2 version of Raspberry pie 3B / B + and Asus Tinker board s, and Android Studio program was used to make the app and a synchronization control program was also developed to operate with IPTV remote control. The operation of the Android start program using the power saving power control technology and the remote control synchronization control program developed in this way is confirmed to be normal operation as a result of applying to the actual IPTV.

• Smart Structures and Systems
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• v.6 no.5_6
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• pp.423-438
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• 2010

Wireless smart sensors enable new approaches to improve structural health monitoring (SHM) practices through the use of distributed data processing. Such an approach is scalable to the large number of sensor nodes required for high-fidelity modal analysis and damage detection. While much of the technology associated with smart sensors has been available for nearly a decade, there have been limited numbers of fulls-cale implementations due to the lack of critical hardware and software elements. This research develops a flexible wireless smart sensor framework for full-scale, autonomous SHM that integrates the necessary software and hardware while addressing key implementation requirements. The Imote2 smart sensor platform is employed, providing the computation and communication resources that support demanding sensor network applications such as SHM of civil infrastructure. A multi-metric Imote2 sensor board with onboard signal processing specifically designed for SHM applications has been designed and validated. The framework software is based on a service-oriented architecture that is modular, reusable and extensible, thus allowing engineers to more readily realize the potential of smart sensor technology. Flexible network management software combines a sleep/wake cycle for enhanced power efficiency with threshold detection for triggering network wide operations such as synchronized sensing or decentralized modal analysis. The framework developed in this research has been validated on a full-scale a cable-stayed bridge in South Korea.

• The Journal of the Korea institute of electronic communication sciences
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• v.7 no.5
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• pp.1245-1251
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• 2012

Recently, needs of recreational marine industry are consistently increasing due to increasing of income and pursuit on well-being. For these needs, central government and local governments have tried to build tens of marinas to meet demands and promote related industries. Therefore, need of smart pedestal system has also increased. However, domestic companies have not manufactured smart pedestal systems, so many pedestal systems have been imported from advanced countries such as England, Denmark, and Italy. This research has developed a smart pedestal system using IT convergence technology. This system is assembled by each several module which has its own function and board. Each module is not developed on an embedded OS. Instead, it has its customized operational software based on its kernel. Thus, this system brings about cost reduction of productions and maintenance.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.05a
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• pp.410-411
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• 2018

In this paper, In this paper, Smart OBD2 terminal collects OBD2 Data on the vehicle. And it passes through this with SmartPhone Bluetooth. OBD2 system is the system to use a variety of Service using it in SmartPhone. Utilizing NFC to help ordinary people, it can easily use to configure the Bluetooth Pairing. By using the Bluetooth 4.0, it is maximized compatibility of Bluetooth. Furthermore OBD2 terminal is a system to minimize the standby power of the terminal to prevent the discharge of the vehicle up issues. Anyone can develop an OBD2 connection App by providing the interfaces to make DB to develop and understand ODB2 data.