• Title/Summary/Keyword: abnormal events

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The Effects of Information Transfer of Personal Information Security Breaches (개인정보 유출의 정보전이 효과)

  • Park, Sang-Soo;Lee, Hyun-Chul
    • The Journal of Information Systems
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    • v.27 no.1
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    • pp.193-224
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    • 2018
  • Purpose Targeting Korean companies listed on Korean securities markets (i.e., KOSPI and KOSDAQ markets), this study aims to shed lights the effects of personal information security breaches on stock prices of information security companies. Interestingly, this study is, to the best of our knowledge, the first to examine the information transfer effect on personal information security breaches of companies. Design / Methodology /Approach To examine the information transfer effect of personal information security breaches, our study employs the event study commonly used in financial studies. To this end, we investigate a variety of events of personal information security breaches of companies listed on the KOPSI stock market and the KOSDAQ market. We collect the total samples of one hundred and twelve with forty seven of events of personal information security breaches by thirty companies and sixty five of information security companies. Findings The principal findings from the empirical study are as follows. First, for companies of personal information security breaches, our event study presents the significantly negative AAR (averaged abnormal return) value on the event day at the 5 % level and the highly significant negative CAAR(cumulative averaged abnormal return) value on the event day and the day after the event day at the 1 % level. The results suggest that personal information breaches significantly contribute to an decrease in value of the information breached companies. The cross sectional regressions in this study estimate the significantly negative coefficient for the ME/BE variable, the proxy for a growth opportunity at the 5 % level. This suggests a reverse relation between the growth opportunity of companies and their value. As for the various samples of the information security companies categorized by physical security, network and system security, security application software, code authentication, system integration, we find the significantly positive AAR on the day after the event day at the 5% level, only for the network and system security-companies. This addresses that the information transfer effect followed by personal information breaches is uniquely observable for companies categorized into network and system companies. The regressions for the network and system companies estimate the significantly positive coefficient for the NS dummy variable (i.e., the dummy of the network and system security companies) at the standard level. This allows us to identify appropriate times needed to make the information transfer effect realized from personal information breached companies to information security companies.

Comparison of ANN model's prediction performance according to the level of data uncertainty in water distribution network (상수도관망 내 데이터 불확실성에 따른 절점 압력 예측 ANN 모델 수행 성능 비교)

  • Jang, Hyewoon;Jung, Donghwi;Jun, Sanghoon
    • Journal of Korea Water Resources Association
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    • v.55 no.spc1
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    • pp.1295-1303
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    • 2022
  • As the role of water distribution networks (WDNs) becomes more important, identifying abnormal events (e.g., pipe burst) rapidly and accurately is required. Since existing approaches such as field equipment-based detection methods have several limitations, model-based methods (e.g., machine learning based detection model) that identify abnormal events using hydraulic simulation models have been developed. However, no previous work has examined the impact of data uncertainties on the results. Thus, this study compares the effects of measurement error-induced pressure data uncertainty in WDNs. An artificial neural network (ANN) is used to predict nodal pressures and measurement errors are generated by using cumulative density function inverse sampling method that follows Gaussian distribution. Total of nine conditions (3 input datasets × 3 output datasets) are considered in the ANN model to investigate the impact of measurement error size on the prediction results. The results have shown that higher data uncertainty decreased ANN model's prediction accuracy. Also, the measurement error of output data had more impact on the model performance than input data that for a same measurement error size on the input and output data, the prediction accuracy was 72.25% and 38.61%, respectively. Thus, to increase ANN models prediction performance, reducing the magnitude of measurement errors of the output pressure node is considered to be more important than input node.

Molar-Incisor Malformation: Three Cases of a Newly Identified Dental Anomaly (Molar-Incisor Malformation: 최근 확인된 치아 이상의 증례 보고)

  • Choi, Suji;Lee, Jewoo;Song, Jihyun
    • Journal of the korean academy of Pediatric Dentistry
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    • v.44 no.3
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    • pp.370-377
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    • 2017
  • Molar-incisor malformation (MIM) is a recently described dental anomaly characterized by root malformation in permanent first molars accompanied sometimes by abnormal root forms in primary second molars or enamel defects in maxillary central incisors. This report presents three cases of MIM along with a review of previous studies. Three patients exhibited abnormal root forms in the permanent first molars, with varying degrees of deformation. Two of the patients experienced medical events at birth. One of the patients was a monozygotic twin, whose twin sister exhibited normal dentition without any significant abnormalities. The present report also reviews recently reported cases of MIM in literature. In the management of MIM-associated clinical issues, consideration of microscopic features and accompanying characteristics might facilitate early diagnosis and comprehensive treatment planning.

Long Term Impact of Distribution Information Technology Investment on Firm Value (무선인식 유통정보기술 투자가 장기 주가수익률에 미치는 영향에 관한 연구)

  • Son, Sam-Ho
    • Journal of Distribution Science
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    • v.17 no.3
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    • pp.69-83
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    • 2019
  • Purpose - This paper investigates the long term impact of RFID investment on firm value in Korea. We wand to find out why the long term performance of some firm's RFID investment is better than others. To understand the dynamics of the long term returns from RFID investment announcements, we divide our events into groups for each of the independent firm characteristic variable such as investment time period, kind of markets, industries, solvency and growth potential. We composed portfolios based on the RFID investment announcement date for each group and evaluate the monthly abnormal excess returns. Research design, data, and methodology - Based on these calendar-time portfolios, we measure the long term returns from 86 RFID investment announcements of 46 firms from 2003 to 2017. We construct the calendar-time portfolio for 3, 6, 9, 12 months of holding periods. Using the weighted least squares method, we regress the raw monthly returns of the portfolios on the Fama-French model and Carhart(1997) model. As a result, we can get the estimated risk adjusted mean monthly abnormal excess return αP for each of the calendar-time portfolio. Results - We found that early adopters, large firms, non-manufacturing firms have very significant excess returns. We also found modestly significant excess returns for financially stable firms and slow growing firms. Put together, top managers of the firms which plan to invest RFID should understand the strategic role of RFID adoption and the generalized business process of distribution information technology investment in Korea. Moreover, the findings of this paper provide useful trading strategies to the managers of large funds who are considering on investing in RFID adopting firms. Conclusions - Put together, the results of this paper give us a new insight into how the RFID and IT technology in general and other characteristic factors' interactions affect the long term performance of firms. Using the unbiased estimates of long term returns of the calendar-time portfolios, this paper extends the understandings on short term impact of RFID adoption of existing studies. This paper also extends the current understandings of firm characteristics that affect the long term performance of RFID adopting firms.

Voltage Dependent N Type Calcium Channel in Mouse Egg Fertilization

  • Eum, Jin Hee;Park, Miseon;Yoon, Jung Ah;Yoon, Sook Young
    • Development and Reproduction
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    • v.24 no.4
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    • pp.297-306
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    • 2020
  • Repetitive changes in the intracellular calcium concentration ([Ca2+]i) triggers egg activation, including cortical granule exocytosis, resumption of second meiosis, block to polyspermy, and initiating embryonic development. [Ca2+]i oscillations that continue for several hours, are required for the early events of egg activation and possibly connected to further development to the blastocyst stage. The sources of Ca2+ ion elevation during [Ca2+]i oscillations are Ca2+ release from endoplasmic reticulum through inositol 1,4,5 tri-phosphate receptor and Ca2+ ion influx through Ca2+ channel on the plasma membrane. Ca2+ channels have been characterized into voltage-dependent Ca2+ channels (VDCCs), ligand-gated Ca2+ channel, and leak-channel. VDCCs expressed on muscle cell or neuron is specified into L, T, N, P, Q, and R type VDCs by their activation threshold or their sensitivity to peptide toxins isolated from cone snails and spiders. The present study was aimed to investigate the localization pattern of N and P/Q type voltage-dependent calcium channels in mouse eggs and the role in fertilization. [Ca2+]i oscillation was observed in a Ca2+ contained medium with sperm factor or adenophostin A injection but disappeared in Ca2+ free medium. Ca2+ influx was decreased by Lat A. N-VDCC specific inhibitor, ω-Conotoxin CVIIA induced abnormal [Ca2+]i oscillation profiles in SrCl2 treatment. N or P/Q type VDC were distributed on the plasma membrane in cortical cluster form, not in the cytoplasm. Ca2+ influx is essential for [Ca2+]i oscillation during mammalian fertilization. This Ca2+ influx might be controlled through the N or P/Q type VDCCs. Abnormal VDCCs expression of eggs could be tested in fertilization failure or low fertilization eggs in subfertility women.

Crab Landing QAR (Quick Access Recorder) Flight Data Statistical Analysis Model (크랩랜딩(Crab Landing) QAR(Quick Access Recorder) 비행 데이터 통계분석 모델)

  • Jeon Je-Hyung;Kim Hyeon-deok
    • Journal of Advanced Navigation Technology
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    • v.28 no.2
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    • pp.185-192
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    • 2024
  • The aviation has improved safety through technological innovation and strengthened flight safety through safety regulations and supervision by aviation authorities. As the industry's safety approach has evolved into a systematic approach to the aircraft system, airlines have established a safety management system. Technical defects or abnormal data in an aircraft can be warning signs that could lead to an accident, and the risk of an accident can be reduced by identifying and responding to these signs early. Therefore, management of abnormal warning signs is an essential element in promoting data-based decision-making and enhancing the operational efficiency and safety level of airlines. In this study, we present a model to statistically analyze quick access recorder (QAR) flight data in the preliminary analysis stage to analyze the patterns and causes of crab landing events that can lead to runway departures when landing an aircraft, and provide a precursor to a landing event. We aim to identify signs and causes and contribute to increasing the efficiency of safety management.

Pilot Clinical Trial to Evaluate the Efficacy of Needle-Embedding Acupuncture Therapy at Gokji(LI11) on TEWL (곡지혈 매선침 시술이 경피수분 손실량에 미치는 영향)

  • Lee, Ho Chan;Jung, Mi Young;Choi, Jung Hwa;Jeong, Min Yeong;Park, Soo Yeon
    • Journal of Physiology & Pathology in Korean Medicine
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    • v.32 no.4
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    • pp.291-297
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    • 2018
  • The purpose of pilot clinical trial is to evaluate the efiicacy and safety of Needle-Embedding acupuncture therapy on TEWL(Transepidermal Water Loss) and Skin hydration. A total of 24 human who visited Dongshin Oriental Medical Center from December 1st, 2016 to July 31st, 2017 were included in the pilot clinical trial. Needle-Embedding acupuncture therapy performed at Gokji(LI11). We observed change of TEWL(Transepidermal Water Loss), Skin hydration before and after Needle-Embedding acupuncture therapy. In the primary endpoint, index of TEWL showed a statistically insignificant decline ($8.5{\pm}2.12{\rightarrow}7.8{\pm}1.53g/h/m^2$). Index of skin hydration showed a statistically significant result ($38.2{\pm}6.77{\rightarrow}36.8{\pm}6.64$). To evaluate the safety, Adverse events and Vital sign check were conducted and there were no problem. And when the physical response, self-awareness, skin system, musculoskeletal pain, and other abnormal responses were assessed 60 minutes and 24 hours and 7 days after Needle-Embedding acupuncture therapy at Gokji(LI11) for stability assessment, Adverse events disappeared during a pilot clinical trial. According to the above pilot clinical trial, it is suggested Needle-Embedding acupuncture therapy were effective for Skin moisturizing and safe.

Design and Implementation of Web Attack Detection System Based on Integrated Web Audit Data (통합 이벤트 로그 기반 웹 공격 탐지 시스템 설계 및 구현)

  • Lee, Hyung-Woo
    • Journal of Internet Computing and Services
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    • v.11 no.6
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    • pp.73-86
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    • 2010
  • In proportion to the rapid increase in the number of Web users, web attack techniques are also getting more sophisticated. Therefore, we need not only to detect Web attack based on the log analysis but also to extract web attack events from audit information such as Web firewall, Web IDS and system logs for detecting abnormal Web behaviors. In this paper, web attack detection system was designed and implemented based on integrated web audit data for detecting diverse web attack by generating integrated log information generated from W3C form of IIS log and web firewall/IDS log. The proposed system analyzes multiple web sessions and determines its correlation between the sessions and web attack efficiently. Therefore, proposed system has advantages on extracting the latest web attack events efficiently by designing and implementing the multiple web session and log correlation analysis actively.

The Detection Model of Disaster Issues based on the Risk Degree of Social Media Contents (소셜미디어 위험도기반 재난이슈 탐지모델)

  • Choi, Seon Hwa
    • Journal of the Korean Society of Safety
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    • v.31 no.6
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    • pp.121-128
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    • 2016
  • Social Media transformed the mass media based information traffic, and it has become a key resource for finding value in enterprises and public institutions. Particularly, in regards to disaster management, the necessity for public participation policy development through the use of social media is emphasized. National Disaster Management Research Institute developed the Social Big Board, which is a system that monitors social Big Data in real time for purposes of implementing social media disaster management. Social Big Board collects a daily average of 36 million tweets in Korean in real time and automatically filters disaster safety related tweets. The filtered tweets are then automatically categorized into 71 disaster safety types. This real time tweet monitoring system provides various information and insights based on the tweets, such as disaster issues, tweet frequency by region, original tweets, etc. The purpose of using this system is to take advantage of the potential benefits of social media in relations to disaster management. It is a first step towards disaster management that communicates with the people that allows us to hear the voice of the people concerning disaster issues and also understand their emotions at the same time. In this paper, Korean language text mining based Social Big Board will be briefly introduced, and disaster issue detection model, which is key algorithms, will be described. Disaster issues are divided into two categories: potential issues, which refers to abnormal signs prior to disaster events, and occurrence issues, which is a notification of disaster events. The detection models of these two categories are defined and the performance of the models are compared and evaluated.

A clinical study for effect of a supplement(Bee Larva) in subjects with tinnitus (벌유충 분말 서플리먼트의 이명에 대한 임상적 연구)

  • Kang, Da-Hae;O, Min-Ji;Kim, Hee-Taek
    • The Journal of Korean Medicine Ophthalmology and Otolaryngology and Dermatology
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    • v.25 no.2
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    • pp.20-37
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    • 2012
  • Objectives : The primary purpose of present study is to evaluate the effect of a supplement of Bee Larva on tinnitus. the second is to comparatively evaluate safety of this supplement. Methods : Among those patients who visited Semyung Oriental Medical Center from January 11st, 2010 to February 20th, 2010, we screened 45 patients considered suitable for this study after some examinations and consent of the patients. they were devided into 2 groups. Group A took 5 tablets of this supplement everyday for 4 weeks, group B, placebo, in the same way. for 4 weeks, we checked changes in intensity, duration, extent of tinnitus on daily life and sleep and THI(Tinnitus Handicap Inventory) score. to evaluate safety of this supplement, adverse events, assessment of vital sign, hematologic examination were recorded. Result : Through 4 weeks of the clinical trial, we found that this supplement is effective on tinnitus and it improves intensity, duration and extent (its influence on daily life) of tinnitus, influence of tinnitus on sleep and THI score more effectively than the placebo drug. Also, in the assessment of the safety of the study the supplement of bee Larva and placebo drug, there were no adverse events and side effects over the average which need treatment for it. Moreover, there were not any abnormal findings in change of blood pressure and hematologic examination. Conclusion : According to this experiment, we confirmed that the supplement of bee Larva can be used effectively and safely on tinnitus.