• Proceedings of the Korea Information Processing Society Conference
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• 2004.05a
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• pp.3-6
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• 2004

스트리밍 데이터 처리는 여러 분야에서 많은 관심을 가지고 활발한 연구가 수행되고 있다. 특히 모니터링, 센서 네트워크등의 응용 분야에서 끊임없이 생성되는 대량의 스트리밍 데이터 처리를 위한 요구가 높아지고 있다. 본 논문에서는 XML 스트리밍 데이터에 대한 시구간 질의 처리 시스템 모델을 제시한다. 스트리밍 데이터 모델로 웹상의 데이터 교환 표준으로 자리잡은 XML을 사용하였고 연속적인 질의 처리를 위해 시구간이 명시된 XQuery를 질의 모델로 사용하였다. 제시된 시스템에서는 질의 처리의 성능 향상을 기하기 위해 질의 결과 값을 백그라운드 프로세싱으로 생성하고 그것을 캐슁하여 후속 질의의 결과 값에 반영하는 캐슁 기법을 제공한다.

• The Korean Journal of Applied Statistics
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• v.35 no.2
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• pp.203-215
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• 2022

In this paper, we consider the control charts applicable to monitoring the change of the population mean for sequentially observed individual data. The most representative control charts are Shewhart's individual control chart, the exponential weighted moving average (EWMA) control chart, and their combined control chart. We compare their performance based on a simulation study, and also, through real data analysis, we present how to apply control charts in practical application and investigate the problems of each control chart.

• Proceedings of the KIPE Conference
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• 2020.08a
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• pp.130-132
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• 2020

배터리 시스템은 어플리케이션의 대영화에 따른 데이터 저장공간 문제 및 연속적인 배터리 신뢰성 문제 해결을 위한 건전성 예측 및 관리기술 접목에 관한 문제에 직면해 있으며, 이러한 문제 해결을 위해서는 배터리 시스템 신호를 통해 추출 가능한 건전성 지표 수립이 중요하다. 본 논문은 건전성 지표를 물리적, 간접적 지표로써 정의하고, 사이클 노화 데이터를 통해 건전성 지표로써의 성능을 검증하였다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2020.11a
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• pp.131-132
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• 2020

자율운항선박 지원 6종서비스는 자율운항선박의 도입에 따른 항계 및 협수로 내에서 터미널까지 안정적으로 통항과 자율적인 이·접안 및 화물 적·하역이 가능하도록 안전운항을 지원하는 기술을 의미한다. 자율운항선박 지원 6종서비스에는 근접 선박에 대한 연속 회피가 가능한 자율운항 지원 서비스, 인공지능 센서 융합을 통한 접·이안 및 계류 지원 서비스, 스마트 해상 물류 프로세스를 위한 화물 양·적하 및 선박 입출항 지원 서비스, PSC 점검율 제고를 위한 PSC 점검 지원 서비스, 선박의 주요 기기를 육상에서 관찰하기 위한 상태모니터링 지원 서비스, 해양사고 발생 시 신속한 조치를 위한 사고대응 지원 서비스로 이루어져 있다. 이 연구에서는 개발되는 안전운항 지원서비스 6종의 실용성 및 현장 적용 가능성을 테스트하기 위한 실선박 기반의 검증 시나리오를 개발하고 6종 서비스의 육상 시범 운용을 위한 인프라를 구축하고자 하였다.

• Applied Chemistry
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• v.16 no.1
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• pp.25-28
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• 2012

A determination method of cyanide ion (CN^-) using nickel complexation reaction by continuous monitoring system. The mechanical parameters and chemical conditions of the complexation reaction were investigated prior to application of continuous monitoring system for determination of cyanide. On the optimized conditions, the calibration curve was linear over the range from 5.0×10^-6 to 1.0×10^-4 M. In this range, 2.40% of the reproducibility (RSD, n=3) was obtained. The limit of detection (3σ/s) was calculated to be 1.8×10^-6 M.

• Journal of the Korea Concrete Institute
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• v.14 no.6
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• pp.973-981
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• 2002

Recently, the use of high strength concrete (HSC) has increased dramatically md however, few studies have been conducted on the early-age properties of HSC such as setting. The penetration resistance test (specified by KS F 2436) that is the standard test method for determining initial and final setting times of concrete, may not be appropriate for HSC because of the high viscosity of the mortar mixture. To address this issue, an ultrasonic pulse velocity (UPV) monitoring system was used to investigate the setting behavior of mortar and concrete. The experimental study was carried out to measure the UPV's of mortars and concretes having various water/binder ratios (W/B) and various fly ash replacement levels, during the first 24 hours of testing. Test results showed that the UPV in concrete was developed faster than that of mortar with the same W/B, and that of ordinary concrete was greater than that of fly ash concrete. Typical values of UPV were suggested that correspond to the initial and final setting times, based on following criteria: (1) the penetration resistance method; (2) the instant when the UPV begins to develop; and (3) the instant when the UPV development rate is maximum. The method and UPV monitoring device used in this study is promising for the setting assessment of concrete, particularly for HSC.

• KSBB Journal
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• v.14 no.3
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• pp.342-350
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• 1999

Photobacterium phosphoreum was used in order to study response to heavy metal including $HgCl_2$, $CdCl_2$, $MnSO_4$ and $ZnSO_4$ in view of developing monitoring system for toxic substances. The concentrations of heavy metal causing 50% reduction($EC_{50}$) in bioluminescence intensity were determined with both free and immobilized P. phosphoreum. The bioluminescence responses were examined at various concentrations of heavy metal after 10, 20 and 30 min of exposure. The linear correlation between Gamma values and concentrations of heavy metal was obtained and $EC_{50}$ was calculated from the linear correlation. The significant inhibitory concentrations for bioluminescence emission were found to be 0.05mg/L for $HgCl_2$, 25mg/L for $CdCl_2$, 50mg/L for $MnSO_4$ and 12.5mg/L for $ZnSO_4$, respectively. The free cell and disc type were shown to be more sensitive to heavy metal than cells mixed with Na-alginate or immobilized on Sr-alginate. However, the linear regression curves were derived from the Sr-alginate immobilized cells indicating the immobilization method is a useful tool for monitoring of heavy metal under more stable condition of bioluminescence.

• The KIPS Transactions:PartC
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• v.15C no.4
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• pp.297-302
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• 2008

In case of display a lot of information from mobile devices, those systems are being developed that display the information from mobile devices on remote devices such as TV using the mobile devices as remote controllers because it is difficult to display a lot of information on mobile devices due to their limited bandwidth and small screen sizes. A lot of cost is required to design and develop interfaces for these systems corresponding to each of remote display devices. In this paper, a mobile environment based remote display system for displays at real times is proposed for continuous monitoring of status data for unique 'Mote IDs'. Also, remote data are collected and monitored through sensor network devices such as ZigbeX by applying status perception based remote displays at real times through processing ubiquitous computing environment data, and remote display applications at real times are implemented through PDA wireless mobiles. The system proposed in this paper consists of a PDA for remote display and control, mote embedded applications programming for data collections and radio frequency, server modules to analyze and process collected data and virtual prototyping for monitoring and controls by virtual machines. The result of the implementations indicates that this system not only provides a good mobility from a human oriented viewpoint and a good usability of accesses to information but also transmits data efficiently.

• The KIPS Transactions:PartB
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• v.9B no.5
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• pp.663-672
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• 2002

In this paper, Using an automatic tracking system, behavior of an aquatic insect, Chironomus sp. (Chironomidae), was observed in semi-natural conditions in response to sub-lethal treament of a carbamate insecticide, carbofuran. The fourth instar larvae were placed in an observation cage $(6cm\times{7cm}\times{2.5cm)}$ at temperature of $18^\circ{C}$ and the light condition of 10 time (light) : 14 time (dark). The tracking system was devised to detect the instant, partial movement of the insect body. Individual movement was traced after the treatment of carbofuran (0.1ppm) for four days 2days : before treatment, 2 days : after treatment). Along with the other irregular behaviors, "ventilation activity", appearing as a shape of "compressed zig-zag", was more frequently observed after the treatment of the insecticide. The activity of the test individuals was also generally depressed after the chemical treatment. In order to detect behavioral changes of the treated specimens, wavelet analysis was implemented to characterize different movement patterns. The extracted parameters based on Discrete Wavelet Transforms (DWT) were subsequently provided to artificial neural networks to be trained to represent different patterns of the movement tracks before and after treatments of the insecticide. This combined model of wavelets and artificial neural networks was able to point out the occurrence of characteristic movement patterns, and could be an alternative tool for automatically detecting presences of toxic chemicals for water quality monitoring. quality monitoring.

• Geophysics and Geophysical Exploration
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• v.25 no.4
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• pp.177-188
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• 2022

Recently, the application of distributed acoustic sensors (DAS), which can replace geophones and seismometers, has significantly increased along with interest in micro-seismic monitoring technique, which is one of the CO₂ storage monitoring techniques. A significant amount of temporally and spatially continuous data is recorded in a DAS monitoring system, thereby necessitating fast and accurate data processing techniques. Because event detection and seismic phase picking are the most basic data processing techniques, they should be performed on all data. In this study, a machine learning-based P, S wave phase picking algorithm was developed to compensate for the limitations of conventional phase picking algorithms, and it was modified using a transfer learning technique for the application of DAS data consisting of a single component with a low signal-to-noise ratio. Our model was constructed by modifying the convolution-based EQTransformer, which performs well in phase picking, to the ResUNet structure. Not only the global earthquake dataset, STEAD but also the augmented dataset was used as training datasets to enhance the prediction performance on the unseen characteristics of the target dataset. The performance of the developed algorithm was verified using K-net and KiK-net data with characteristics different from the training data. Additionally, after modifying the trained model to suit DAS data using the transfer learning technique, the performance was verified by applying it to the DAS field data measured in the Pohang Janggi basin.