• Title/Summary/Keyword: Event Data

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Implementation of Automatic Backup System for Personal Data based on ECA Model (ECA 모델 기반의 개인 데이터 자동 백업 시스템 구현)

  • Jun, In-Ha;Lee, Bong-Goo;Kim, Young-Ji;Mun, Hyeon-Jeong;Woo, Yong-Tae
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.4 no.2
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    • pp.101-108
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    • 2008
  • In this paper, we develop system to backup automatically personal data by real time based on ECA model. This system backups data that is changed in user PC using CDP technology based on ECA model. Proposed ECA model defines file's change such as file creation, update, remove etc. in user PC to event for synchronization between server and user PC. If event is detected about file, proposed system examines condition that is defined and backup the file to server. Backup data that is stored to server can recovery on point of time that user wants. The proposed system can be applied to data management system for business, personal data management system, high-capacity contents management system etc.

Analysis of recurrent event data with incomplete observation gaps using piecewise models

  • Kim, Yang-Jin
    • Journal of the Korean Data and Information Science Society
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    • v.25 no.5
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    • pp.1117-1125
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    • 2014
  • In a longitudinal study, subjects can experience same type of events repeatedly. Also, there may exist intermittent dropouts resulting in repeated observation gaps during which no recurrent events are observed. Furthermore, when such observation gaps have incomplete forms caused by the unknown termination times of observation gaps, ordinary approaches result in biased estimates. In this study, we investigate the effect of ignoring observation gaps and propose methods to overcome this problem. For estimating the distribution of unknown termination times, an interval-censored mechanism is applied and two cases are considered. Simulation studies are carried out to evaluate the performance of the proposed method. Conviction data of young drivers with several suspensions are analyzed to illustrate the suggested approach.

A Study on the Improved EDR Storage Data to Identify the Cause of Unintended Acceleration of Eco-friendly Vehicles (친환경 자동차의 급발진 원인 규명을 위한 EDR 저장 데이터 개선방안 연구)

  • Lee, Sang Bae;Kim, Dong Han;Moon, Byoung Joon
    • Journal of Auto-vehicle Safety Association
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    • v.14 no.3
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    • pp.17-22
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    • 2022
  • In this paper, we propose the improved EDR (Event Data Recorder) storage data, which can identify the cause of unintended acceleration of eco-friendly vehicles. The proposed EDR storage data includes the brake pressure sensor value and a brake pedal travel sensor value. To verify the proposed EDR storage data, we observe the control algorithm and internal structure of the vehicle dynamic control system and a regenerative braking system in an eco-friendly vehicle.

Data Privacy Law and International Human Rights Regime: An Event History Analysis on the Diffusion of Data Privacy Law(1960~2011) (정보보호법의 전 세계적인 확산에 관한 연구: 국제인권레짐 효과를 중심으로)

  • Yoo, Eunhye
    • 한국사회정책
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    • v.20 no.3
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    • pp.117-140
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    • 2013
  • This research focuses on the effects of international and national factors on the legislation of data privacy law in 117 countries from 1960 to 2011. Previous research on data privacy law usually put its emphasis on the contents of data privacy law, legal interpretation of data privacy law or legal cases; yet it lacks academic approaches from human rights perspectives. This paper points out the diffusion of data privacy law in nation states and analyzes the effects of national international factors affecting the legislation of data privacy law using an event history analysis. It turns out that the increasing number of internet users and international human rights regime are positively associated with the likelihood of having data privacy law. Contrary to our hypotheses, FDI, internal human rights practices, and the level of high technology do not show any effects on the likelihood of having a data privacy law.

Effects of incubation temperature on the embryonic viability and hatching time in Russian sturgeon (Acipenser gueldenstaedtii)

  • Kim, Eun Jeong;Park, Chulhong;Nam, Yoon Kwon
    • Fisheries and Aquatic Sciences
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    • v.21 no.9
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    • pp.23.1-23.8
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    • 2018
  • Background: Russian sturgeon (Acipenser gueldenstaedtii) is an emerging candidate species in the Korean aquaculture domain owing to its highly valued caviar. Although the embryonic development of this species was previously described, the complete image data on the morphological differentiation of developing embryos have not been yet fully available. Further, with the viewpoint of larval production in hatchery, the effects of temperature on embryonic viability and the temporal window of hatching event have not been extensively studied. Hence, the objective of this study was to provide a complete set of photographic image data on the embryogenesis and also to examine the effects of incubation temperatures on embryonic viability and hatching event in farm-bred Russian sturgeon. Results: Typical characteristics of embryonic development including uneven, holoblastic cleavages with unequal blastomeres, followed by the formation of germ layer, neurulation, and organogenesis until hatching, were documented. Under different temperature conditions (12, 16, or $20^{\circ}C$), viability of embryos incubated at $12^{\circ}C$ was significantly lower as relative to those of 16 and $20^{\circ}C$ incubated embryos. Hatchability of embryos was higher, and the timing of hatching event was more synchronized at $20^{\circ}C$ than at 12 and $16^{\circ}C$. Conclusion: Data from this study suggest that the incubation of Russian sturgeon embryos at $20^{\circ}C$ would be desirable in the hatchery practice with respect to the good hatchability of embryos and the synchronization of hatching events. Additionally, the updated image data for complete embryonic development could be a useful reference guide for not only developmental researches but also artificial propagation of Russian sturgeon in farms.

A Multi-hop Reservation Method for End-to-End Latency Performance Improvement in Asynchronous MAC-based Wireless Sensor Networks (비동기식 MAC프로토콜 기반의 무선 센서 네트워크에서 단대단 시간 지연 성능 향상을 위한 멀티 홉 예약 기법의 제안)

  • Hong, Sung-Hwa;Jung, Suk-Yong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.11 no.7
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    • pp.2638-2647
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    • 2010
  • X-MAC reduces transmission delay and energy consumption by using a short preamble instead of the existing long preamble. To solve the problem of X-MAC, this paper proposes a new MAC protocol called Express-MAC. The wireless sensor network is mainly used for the purpose of gathering event data or situation information. Especially, the transmission pattern of the sensor network with the purpose of event detection such as intrusion detection is very intermittent as well as successively occurring when a single event takes place in most cases. By reflecting sensor network's key transmission patterns as above, EX-MAC has used multi-hub path's path reservation system and awake section's transmission time reservation method in data transmission when the first event takes place. The awake time reservation in transmission path has improved successive data transmission's end-to-end delay, and it has also increased efficiency in terms of energy consumption by reducing the preamble length of data transmission and reception node.

Reconstruction Analysis of Multi-Car Rear-End Collision Accidents: Empirical/Analytical Methods, and Application of Video Event Data Recorder (다중추돌사고의 재구성 해석: 경험적/해석적 방법과 영상사고기록장치 활용)

  • Han, In-Hwan
    • Journal of Korean Society of Transportation
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    • v.30 no.2
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    • pp.127-136
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    • 2012
  • Multi-car rear-end collision accidents have three categories: sequential collision from the rear which is commonly referred to as chain reaction collision, sequential collision from the front, and mixed-order collision. This paper suggests several effective methods of reconstruction analysis for multi-car rear-end collision accidents. First, by incorporating the traditional empirical method which uses vehicle damage caused by brake dive and passenger injuries, with results of theoretical analysis made within mechanics of rigid body, it is made possible for the method to be put to immediate practical use. A methodology to precisely analyze multi-car rear-end collision accidents was suggested using a simulation program simultaneously with a video event data recorder which is starting to be widely used in domestic vehicles. To go beyond the simple intuitive analysis of the video event data recorder, the simulation analysis based on the results of video analysis was executed to acquire various information, so that the causes and responsibility could be clearly stated.

Development of Mining model through reproducibility assessment in Adverse drug event surveillance system (약물부작용감시시스템에서 재현성 평가를 통한 마이닝 모델 개발)

  • Lee, Young-Ho;Yoon, Young-Mi;Lee, Byung-Mun;Hwang, Hee-Joung;Kang, Un-Gu
    • Journal of the Korea Society of Computer and Information
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    • v.14 no.3
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    • pp.183-192
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    • 2009
  • ADESS(Adverse drug event surveillance system) is the system which distinguishes adverse drug events using adverse drug signals. This system shows superior effectiveness in adverse drug surveillance than current methods such as volunteer reporting or char review. In this study, we built clinical data mart(CDM) for the development of ADESS. This CDM could obtain data reliability by applying data quality management and the most suitable clustering number(n=4) was gained through the reproducibility assessment in unsupervised learning techniques of knowledge discovery. As the result of analysis, by applying the clustering number(N=4) K-means, Kohonen, and two-step clustering models were produced and we confirmed that the K-means algorithm makes the most closest clustering to the result of adverse drug events.

Discrete Event Simulation for the Initial Capacity Estimation of Shipyard Based on the Master Production Schedule (대일정 생산 계획에 따른 조선소 생산 용량의 초기 평가를 위한 이산사건 시뮬레이션)

  • Kim, Kwang-Sik;Hwang, Ho-Jin;Lee, Jang-Hyun
    • Korean Journal of Computational Design and Engineering
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    • v.17 no.2
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    • pp.111-122
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    • 2012
  • Capacity planning plays an important role not only for master production plan but also for facility or layout design in shipbuilding. Product work breakdown structure, attributes of production resources, and production method or process data are associated in order to make the discrete event simulation model of shipyard layout plan. The production amount of each process and the process time is assumed to be stochastic. Based on the stochastic discrete event simulation model, the production capacity of each facility in shipyard is estimated. The stochastic model of product arrival time, process time and transferring time is introduced for each process. Also, the production capacity is estimated for the assumed master production schedule.

A Study on the Performance Improvement of Message Transmission over MVB(Multifunction Vehicle Bus)

  • Choi, Myung-Ho;Park, Jae-Hyun
    • 제어로봇시스템학회:학술대회논문집
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    • 2003.10a
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    • pp.2198-2202
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    • 2003
  • The data transmission of MVB(Multifunction Vehicle Bus) of TCN(Train Network Communication) is divided into the periodic transmission phase and the sporadic transmission phase. TCN standard defines the event-polling method for the message transfer in the sporadic phase. However, since the event-polling method does not use pre-scheduling to the priority of the messages to be transmitted, it is inefficient for the real-time systems. To schedule message transmission, a master node should know the priority of message to be transmitted by a slave node prior to the scheduling the sporadic phase, but the existing TCN standard does not support any protocol for this. This paper proposes the slave frame bit-stuffing algorithm, with which a master node gets the necessary information for transmission scheduling and includes the simulation results of the event-polling method and the proposed algorithm.

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