• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.25 no.11
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• pp.1135-1141
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• 2014

Performing wideband DDC while quantizing signal over a wide dynamic range and high speed sampling rate have primarily been implemented in a hardware such as, FPGA or ASIC because of time-consuming job. Real-time wideband DDC SW, even though signal environment changes, adapt to signal environment flexibly and can be reused. In addition, it has a lower price than the hardware implementation. In this paper, we study the system design that can be stored in real time designing a high-speed parallel processing architecture for SW-based wideband DDC. Finally, applying a Ping-Pong Buffering mechanism for receiving a signal in real time and CUDA for a high-speed signal processing, we verify wideband DDC design procedure that meets the signal processing.

• KIPS Transactions on Computer and Communication Systems
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• v.2 no.6
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• pp.245-252
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• 2013

We developed a system which supports the functions of real-time evaluation and feedback for smart learning. The system is consisted of an application for tablet PC and smart phone and the server, and the client exchanges data with the server through wireless communication. Whereby, the proposed system enabled realtime interaction and feedback between learner and teacher or between learners. As a result, the instruction for each learner's level is available using the system, and then it could enhance the level of academic achievement and learning interest.

• Journal of Korea Society of Digital Industry and Information Management
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• v.12 no.4
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• pp.33-40
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• 2016

Previous works for detecting arrhythmia have mostly used nonlinear method to increase classification accuracy. Most methods require accurate detection of ECG signal, higher computational cost and larger processing time. But it is difficult to analyze the ECG signal because of various noise types. Also in the healthcare system based IOT that must continuously monitor people's situation, it is necessary to process ECG signal in realtime. Therefore it is necessary to design efficient algorithm that classifies different arrhythmia in realtime and decreases computational cost by extrating minimal feature. In this paper, we propose R wave detection considering complexity and arrhythmia classification based on binary coding. For this purpose, we detected R wave through SOM and then RR interval from noise-free ECG signal through the preprocessing method. Also, we classified arrhythmia in realtime by converting threshold variability of feature to binary code. R wave detection and PVC, PAC, Normal classification is evaluated by using 39 record of MIT-BIH arrhythmia database. The achieved scores indicate the average of 99.41%, 97.18%, 94.14%, 99.83% in R wave, PVC, PAC, Normal.

• Journal of Institute of Control, Robotics and Systems
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• v.18 no.9
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• pp.878-886
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• 2012

This paper investigates the implementation and flight test of realtime vision guided autopilot system based on virtual instrumentation platform. A graphical design process via virtual instrumentation platform is fully used for the image processing, communication between systems, vehicle dynamics control, and vision coupled guidance algorithms. A significatnt ojective of the algorithm is to achieve an environment robust autopilot despite wind and an irregular image acquisition condition. For a robust vision guided path tracking and hovering performance, the flight path guidance logic is combined in a multi conditional basis with the position estimation algorithm coupled with the vehicle attitude dynamics. An onboard flight test equipped with the developed realtime vision guided autopilot system is done using the rotary UAV system with full attitude control capability. Outdoor flight test demonstrated that the designed vision guided autopilot system succeeded in UAV's hovering on top of ground target within about several meters under geenral windy environment.

• KIPS Transactions on Software and Data Engineering
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• v.4 no.8
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• pp.301-308
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• 2015

SNS is a web-based online platform service supporting the formation of relations between users. SNS users have usually used a desktop or laptop for this purpose so far. However, the number of SNS users is greatly increasing and their access to the web is improving with the spread of smart phones. They share their daily lives with other users through SNSs. We can detect events if we analyze the contents that are left by SNS users, where the individual acts as a sensor. Such analyses have already been attempted by many researchers. In particular, Twitter is used in related spheres in various ways, because it has structural characteristics suitable for detecting events. However, there is a limitation concerning the detection of events and their locations. Thus, we developed a system that can detect the location immediately based on the district mentioned in Twitter. We tested whether the system can function in real time and evaluated its ability to detect events that occurred in reality. We also tried to improve its detection efficiency by removing noise.

• KIPS Transactions on Software and Data Engineering
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• v.9 no.9
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• pp.267-280
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• 2020

Mirror is a physical reflective surface, typically of glass coated with a metal amalgam, and it is to reflect an image clearly. They are available everywhere anytime and become an essential tool for us to observe our faces and appearances. With the advent of modern software technology, we are motivated to enhance the reflection capability of mirrors with the convenience and intelligence of realtime processing, microservices, and machine learning. In this paper, we present a development of Digital Mirror System that provides the realtime reflection functionality as mirror while providing additional convenience and intelligence including personal information retrieval, public information retrieval, appearance age detection, and emotion detection. Moreover, it provides a multi-model user interface of touch-based, voice-based, and gesture-based. We present our design and discuss how it can be implemented with current technology to deliver the realtime mirror reflection while providing useful information and machine learning intelligence.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2007.06a
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• pp.375-376
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• 2007

• Proceedings of the Korea Information Processing Society Conference
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• 2002.11c
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• pp.2261-2264
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• 2002

미션 크리티컬 영역의 실시간 소프트웨어의 프로세스들은 시스템 요구사항에 맞게 제한된 시간안에 수행되도록 프로세스를 설계되고 구현되어야 한다. 본 논문에서는 원자력발전소의 감시와 제어를 담당하는 MMIUNIX 소프트웨어 실시간 프로세스들을 관리 통제하는 방법을 제안한다. 제안한 방법이 원자력 발전소의 특수한 환경에 적합하게 사용할 수 있는지 알아보기 위해서 시간제약 조건 관점에서 성능평가를 수행한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2003.11a
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• pp.11-14
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• 2003

실시간 멀티미디어 시스템을 위한 캐슁 기법이 몇 가지 제안되었지만 그러한 기법들은 캐쉬 히트에 따른 디스크 대역폭 절약이라는 실질적인 효과에 초점을 맞추기보다는 적중률을 높이는데 주력을 하여왔다. 끊김이 없는 멀티미디어 데이터의 상영이 보장되지 않는다면 높은 캐쉬 적중률만으로는 성능이 우수하여졌다고 보기는 힘들다. 본 논문에서는 이러한 멀티디어의 특성을 고려하여 SPT-L, PSIC, DIC 등을 소개하고 있으며 이 기법에서는 끊김 없는 상영이 보장됨과 동시에 절약된 디스크 대역폭을 이용하여 더 많은 스트림을 서비스할 수 있는 기법들이다.

• 제어로봇시스템학회:학술대회논문집
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• 1991.10a
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• pp.588-588
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• 1991

This paper proposes a compliance robot control algorithm using fuzzy adaptive controller and fuzzy compliance vector generator. In the compliance robot control, we need more adaptivity because the linear modeling in robot dynamics is getting more difficult by contact with external environment. Existing adapitive controllers have difficulty in realtime processing. So in order to overcome it, We adopt fuzzy adaptive controller and propose fuzzy compliance vector generator for flexible compliant motion. We analyze and confirm the proposed algorithm by surface processing experiment with a control system implemented by VME system.