• The KIPS Transactions:PartC
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• v.8C no.5
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• pp.517-524
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• 2001

There are cases that revoke the certification because of disclosure of private key, deprivation of qualification and the expiration of a term of validity based on PKI. So, a user have to confirm the public key whether valid or invalid in the certification. There are many method such as CRL, Delta-CRL, OCSP for the cert-validation of certification. But these method many problems which are overload traffic on network and the CRL server because of processing for cert-validation of certification. In this paper we proposed the realtime cert-validation of certification method which solved problems that are data integrity by different time between transmission and receiving for CRL, and overload traffic on network and the CRL server based on DARC.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.35 no.1
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• pp.46-56
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• 2002

The low temperature, low salinity and low density sea water which was originated from the southern part of the Yellow Sea and distributed from the surface to 20 m depth was transported by the northwesterly wind during the period from the middle of March to the beginning of April, 1998 and had an influence on the northern coastal sea area of Cheju Island. Accordingly, this kind of accumulated data may supply the fundamental data for the realtime monitoring of oceanographic conditions and may improve degree of the forecasting accuracy of fishing and oceanographic conditions.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.49 no.10
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• pp.883-892
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• 2021

This paper provides a process for developing deep learning-based aerial object detection models that can run in realtime on onboard. To improve object detection performance, we pre-process and augment the training data in the training stage. In addition, we perform transfer learning and apply a weighted cross-entropy method to reduce the variations of detection performance for each class. To improve the inference speed, we have generated inference acceleration engines with quantization. Then, we analyze the real-time performance and detection performance on custom aerial image dataset to verify generalization.

• Journal of Korea Multimedia Society
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• v.10 no.4
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• pp.492-505
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• 2007

Currently, most procedures in domestic facility management systems are performed by hand. However, these manually operated facility management systems involve critical limitations, such as a waste of manpower to store collected data into a database, intentional or accidental loss of data consistency (mainly due to a lack of the ability to recognize and deal with frequent changes of facility status in realtime), and so on. To overcome the limitations of such manually operated facility management systems, the following capabilities must be supported. First, the changes in facility status must be recognized in realtime. Second, the data collection process must be secure and reliable to prevent fabrication of collected data and preserve data integrity. Third, the data collection devices must be portable to help the manager collect data about their facilities. To address these problems, we design and implement a novel facility management system using portable RFID, which is designed to support these functionalities and thus help reduce administrative costs. Through extensive experiments, we observed that our system improved the accuracy and reliability of facility check process and helped cut administrative costs by significantly reducing failure frequency.

• The Journal of the Korea Contents Association
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• v.9 no.7
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• pp.159-170
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• 2009

It is very important to extract the expression data and capture a face image from a video for online-based 3D face animation. In recently, there are many researches on vision-based approach that captures the expression of an actor in a video and applies them to 3D face model. In this paper, we propose an automatic data extraction system, which extracts and traces a face and expression data from realtime video inputs. The procedures of our system consist of three steps: face detection, face feature extraction, and face tracing. In face detection, we detect skin pixels using YCbCr skin color model and verifies the face area using Haar-based classifier. We use the brightness and color information for extracting the eyes and lips data related facial expression. We extract 10 feature points from eyes and lips area considering FAP defined in MPEG-4. Then, we trace the displacement of the extracted features from continuous frames using color probabilistic distribution model. The experiments showed that our system could trace the expression data to about 8fps.

• The Journal of the Korea Contents Association
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• v.17 no.1
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• pp.351-362
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• 2017

Recently, analysis techniques to extract new meanings using big data analysis and various services using them have been developed. A disaster safety service among such services has been paid attention as the most important service. In this paper, we design and implement a flood disaster safety system using real time weather big data. The proposed system retrieves and processes vast amounts of information being collected in real time. In addition, it analyzes risk factors by aggregating the collected real time and past data and then provides users with prediction information. The proposed system also provides users with the risk prediction information by processing real time data such as user messages and news, and by analyzing disaster risk factors such a typhoon and a flood. As a result, users can prepare for potential disaster safety risks through the proposed system.

• Journal of the Society of Disaster Information
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• v.10 no.2
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• pp.254-262
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• 2014

KISStool is developed and established by KIGAM, in order to link and share the earthquake data easily with institutes related, this study includes the development of a KISStool program format and protocol supporting Kit. The Kit has functions such as transforming and sending a seismic data. The functions of the kit are implemented in modules, which are running on the realtime basis. The firmware is embedded into the Kit, which transforms the seismic data into the formats, miniSEED and QSCD20. These data are sent to KISStool program. We have confirmed the results of the data transforming, transmissions and storage functions are conducted normally, the speed of transmission shows same level when comparing with a standard system. We expect that the firmware developed in this study will have high usability not only for linking with KISStool program through being embedded into incompatible digitizers, but also for improving performance of older ones.

• 제어로봇시스템학회:학술대회논문집
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• 2001.10a
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• pp.157.1-157
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• 2001

A new methodology is presented to diagnose faults in equipment plasma. This is accomplished by using neural networks as a pattern recognizer of radio frequency(rf) impedance match data. Using a realtime match monitor system, the match data were collected. The monitor system consisted mainly of a multifunction board and a signal flow diagram coded by Visual Designer. Plasma anomaly was effectively represented by electrical match positions. Twenty sets of fault-symptom patterns were experimentally simulated with experimental variations in process factors, which include rf source power, pressure, Ar and O$_2$ flow rates. As the inputs to neural networks, two means and standard deviations of positions were used ...

• Proceedings of the KSR Conference
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• 2005.05a
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• pp.157-162
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• 2005

This paper describes the system implementation of TMS(Train Management System) to be applied to a TTX(Korea Tilting eXpress). For better safety and reliability of vehicle, increased quantity and fast transmission of data between TC(Train Computer) and CC(Car Computer) and control equipment of train is required. To satisfy these requirements, this system uses RTOS(Real Time OS) so that do realtime data management, And it is implemented to minimize the noise inflow and a signal level reduction of the communication line. Also it is designed to suitable interface of a TTX vehicle and is verified by laboratory test.

• 한국데이터정보과학회:학술대회논문집
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• 2004.04a
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• pp.225-236
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• 2004

Every web server comprises a repository of all actions and events that occur on the server. Server logs can be used to quantify user traffic. Intelligent analysis of this data provides a statistical baseline that can be used to determine server load, failed requests and other events that throw light on site usage patterns. This information provides valuable leads on marketing and site management activities. In this paper, we propose a method of design for log analysis system using RTMA(realtime monitoring and analysis) technique.