• 제목/요약/키워드: Abnormal value

검색결과 608건 처리시간 0.021초

전자무역의 베이지안 네트워크 개선방안에 관한 연구 (A Study on the Improvement of Bayesian networks in e-Trade)

  • 정분도
    • 통상정보연구
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    • 제9권3호
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    • pp.305-320
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    • 2007
  • With expanded use of B2B(between enterprises), B2G(between enterprises and government) and EDI(Electronic Data Interchange), and increased amount of available network information and information protection threat, as it was judged that security can not be perfectly assured only with security technology such as electronic signature/authorization and access control, Bayesian networks have been developed for protection of information. Therefore, this study speculates Bayesian networks system, centering on ERP(Enterprise Resource Planning). The Bayesian networks system is one of the methods to resolve uncertainty in electronic data interchange and is applied to overcome uncertainty of abnormal invasion detection in ERP. Bayesian networks are applied to construct profiling for system call and network data, and simulate against abnormal invasion detection. The host-based abnormal invasion detection system in electronic trade analyses system call, applies Bayesian probability values, and constructs normal behavior profile to detect abnormal behaviors. This study assumes before and after of delivery behavior of the electronic document through Bayesian probability value and expresses before and after of the delivery behavior or events based on Bayesian networks. Therefore, profiling process using Bayesian networks can be applied for abnormal invasion detection based on host and network. In respect to transmission and reception of electronic documents, we need further studies on standards that classify abnormal invasion of various patterns in ERP and evaluate them by Bayesian probability values, and on classification of B2B invasion pattern genealogy to effectively detect deformed abnormal invasion patterns.

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Prevalence and Predicting Factors for Anxiety in Thai Women with Abnormal Cervical Cytology Undergoing Colposcopy

  • Jerachotechueantaveechai, Tanut;Charoenkwan, Kittipat;Wongpaka, Nahathai
    • Asian Pacific Journal of Cancer Prevention
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    • 제16권4호
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    • pp.1427-1430
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    • 2015
  • Aim: To compare prevalence of anxiety in women with abnormal cervical cytology (Pap) undergoing colposcopy to that of women attending the outpatient clinic for check-up and to examine predicting factors. Materials and Methods: In this cross-sectional analytical study, 100 women with abnormal cervical cytology (abnormal Pap group) and 100 women who attended our outpatient clinic for check-up (control group) were recruited from June 2013 to January 2014. The Hospital Anxiety and Depression Scale (HADS) was employed to determine anxiety in the participants with the score of ${\geq}11$ suggestive of clinically significant anxiety. The prevalence of anxiety and the mean HADS scores for anxiety were compared between the groups. For those with abnormal Pap, association between clinical factors and anxiety was assessed. A p-value of < 0.05 was considered significant. Results: Median age was different between the groups, 44.0 years in the abnormal Pap group and 50.0 years in the control group (p=0.01). The proportion of participants who had more than one sexual partner was higher in the abnormal Pap group, 39.2% vs. 24.7% (p=0.03) and the prevalence of anxiety was significantly higher 14/100 (14.0%) vs. 3/100 (3.0%) (p < 0.01). The prevalence of depression was comparable between the groups. The mean HADS scores for anxiety and depression subscales were significantly higher in the abnormal Pap group, 6.6 vs. 4.8 (P < 0.01) and 3.9 vs. 3.1 (p=0.05), respectively. For the abnormal Pap group, no definite association between clinical factors and anxiety was demonstrated. Conclusions: The prevalence of anxiety in women with abnormal Pap awaiting colposcopy was significantly higher than that of normal controls. Special attention including thorough counselling, with use of information leaflets and psychological support, should be directed to these women.

서로 다른 대립계 포도 품종(4배체)의 저장력 비교 (Comparison on the Storage Life of Different Large Seed Grapes (tetraploid))

  • 남상영;강한철;김태수
    • 한국식품저장유통학회지
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    • 제6권1호
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    • pp.11-15
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    • 1999
  • Grapes (large seed strains)were treated with fumigation using SO\ulcorner and seal-packaged by PE film, then storage at 0$^{\circ}C$ at 90$^{\circ}C$ RH for the test of storage life. The fruits weight loss and abnormal fruits increased with storage. The abnormal fruits were rapidly produced after 80 days, however, these rates of Rubel muscat and Shingyoku were only 8.0 and 8.3%, respectively. After 90 days, the rate of Rubel muscat was 19.1%, resulting in the least rate. Moisture content of Kaiji and Honey black slightly increased and that of other grapes decreased. Soluble solids content and acidity decreased except Shingyoku and Honey black, however, sugar/acid ratio increased with these strains. The external appearances were depressed with storage but sensory test value of Shingyoku, Honey black, Rubel muscat were ranged from 7 to 9, showing good evaluation. The hardness of Honey black after 90 days resulted in the highest value 0.51 and that of Izunishiki and Kaiji were 0.23-0.25, showing the least value.

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기술혁신 정보가 기업가치에 미치는 영향 (Effects of Information Release for Technological Innovation on Firm's Value)

  • 조성표;박정환
    • 기술혁신연구
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    • 제12권3호
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    • pp.159-177
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    • 2004
  • Technological innovation is one of the critical success factors determining firm's Technological innovation is one of the critical success factors determining firm's value in the knowledge based economy. The study examines whether the information release on technological innovation has information contents in the stock market. The abnormal returns and cumulative abnormal return were calculated by using Market and Risk Adjusted Return Model. The results say that the market positively reacts to the information release of technological innovation on the event date. Especially, the disclosure on technology development causes stable increase of the firm's value. It is concluded that the market reacts favorably to technological innovations.

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An Improved Service Restoration Algorithm under Consideration of Abnormal Conditions in Distribution Automation Systems

  • Cho, Namhun;Kim, Insung;Lee, Sungwoo
    • KEPCO Journal on Electric Power and Energy
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    • 제1권1호
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    • pp.47-54
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    • 2015
  • The most important function in distribution automation system (DAS) is the service restoration. KEPCO's current service restoration provides a very effective restoration service. However, it has been developed without the consideration of unexpected abnormal conditions that may occur while processing the sequence of switching operations. The objective of this paper is to provide practical service restoration schemes under consideration of abnormal conditions. The proposed service restoration schemes have been integrated to a branch office (B/O) in KEPCO. The proposed method strongly supports the conventional service restoration and adds to its value.

경구 Corticosteroid계 약물 치료한 환자에 있어서 혈중 cortisol에 관한 연구 (Study on Blood Cortisol in Patients treated with Oral Corticosteroid Drugs)

  • 박정희;김기황;유형식;이종태;박창윤;유경자
    • 대한핵의학회지
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    • 제14권1호
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    • pp.23-28
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    • 1980
  • This is an analysis of 32 patients who received long continuous corticosteroid drug due to some diseases. Patients were collected from June 1976 to March 1980. Blood cortisol level, variation of diurnal rhythm and side effects were studied. The Result as follows: 1. Side effects were observed in 24 patients(75%) and most common complaint was obesity. 2. Diurnal rhythm analysed by Doe's method shows abnormal diurnal rhythm is 21 out of 32(66%). 3. Mean durations or therapy of abnormal diurnal rhythm and normal diurnal rhythm were $55.7{\pm}4.4$ months and $43.9{\pm}7.0$ months respectively which shows statistically significant difference. 4. Mean cortisol value of steroid treated patients were lower than normal. 5. Reverse diurnal rhythm was 4 out of 21 patients. 6. 8 A.M. cortisol value is lower than 2 times of 8 P.M. in all patients who showed abnormal diurnal rhythm except one.

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BREEDING EXPERIMENT ON MUTATION INDUCTION BY IRRADIATION (2) Effects of X-ray and Thermal Neutron Irradiation on Dry Seeds of Chinese Cabbage and Radish.

  • Kim, Dawng Woo;Kim, Yang Choon;Cho, Mi Kyung
    • Journal of Plant Biology
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    • 제5권1호
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    • pp.1-6
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    • 1962
  • 1) Germination rate was rather irregular than decreasing as increasing dose of radiation and there were no differences between Kyong-Sam and Chuong-Bang of Chinese cabbage. 2) In R1 generation, abnormal leaves from seedling of irradiated seeds were observed. These were more apparent in X-ray irradiation than in thermal neutron. 3) Seedling height was inhibited with increasing dose of X-ray and thermal neutrons. Growth inhibition was more remarkable in X-ray than in thermal neutron. Kyong-Sam demonstrated more sensitivity than Chyong-Bang in both X-ray and thermal neutron. 4) Seedling height produced from seeds subjected to thermal neutrons showed small variation around its mean value, while in X-irradiation there was a greater deviaton from the mean value. 5) Fertility was decreased as increasing with dose, while the frequency of abortive pollen was increased. There were variability of the fertility and frequency of abortive pollen among plants or branches of a plant. 6) The mutants were obtained more in thermal neutron irradiation than in X-ray. The types of mutations obtained in Chinese radish of R2 generation were abnormal leaf, densely glowing leaf, degeneration in growing point and dwarf. The maximum frequency of phenotypic mutations was abnormal leaf mutation.

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Design and Evaluation of a Dynamic Anomaly Detection Scheme Considering the Age of User Profiles

  • Lee, Hwa-Ju;Bae, Ihn-Han
    • Journal of the Korean Data and Information Science Society
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    • 제18권2호
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    • pp.315-326
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    • 2007
  • The rapid proliferation of wireless networks and mobile computing applications has changed the landscape of network security. Anomaly detection is a pattern recognition task whose goal is to report the occurrence of abnormal or unknown behavior in a given system being monitored. This paper presents a dynamic anomaly detection scheme that can effectively identify a group of especially harmful internal masqueraders in cellular mobile networks. Our scheme uses the trace data of wireless application layer by a user as feature value. Based on the feature values, the use pattern of a mobile's user can be captured by rough sets, and the abnormal behavior of the mobile can be also detected effectively by applying a roughness membership function with both the age of the user profile and weighted feature values. The performance of our scheme is evaluated by a simulation. Simulation results demonstrate that the anomalies are well detected by the proposed dynamic scheme that considers the age of user profiles.

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모바일 콘텐츠의 시장성에 대한 증권시장 평가 (Evaluation of Stock Market about Marketability of Mobile Contents)

  • 위한종;김영호;김동일
    • 한국콘텐츠학회논문지
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    • 제7권5호
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    • pp.166-173
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    • 2007
  • 본 연구는 모바일 콘텐츠의 잠재적 시장성에 대한 증권시장 차원에서의 가치평가를 위하여, 2002년11월부터 2005년 12월까지의 기간 동안 한국증권선물거래소 코스닥시장 공정공시를 통하여 이루어진 모바일 콘텐츠 런칭관련 공시를 대상으로, 신규 모바일 콘텐츠 런칭이 증권시장에서 유의한 초과수익률을 유발하는지를 관찰하였다. 분석결과, t시점에서 통계적으로 유의한 2.2%의 평균초과수익률이 관찰되었으며, 또한 t-3일부터 t일에 이르기까지 각각 5.0%, 6.4%, 5.6%, 7.8%의 유의한 누적평균초과수익률이 관찰되었다. 이로부터 모바일 콘텐츠의 시장성에 대한 증권시장의 평가는 시장 진입 수일 전부터 런칭일에 이르기까지의 기간 동안 사전적으로 충분히 해당기업의 주가에 반영되며, 이후 런칭이 완료된 시점부터는 추가적인 비정상성과를 유발하지는 못하는 것으로 확인되었다. 즉, 증권시장과 그 참여자들이 신규 모바일 콘텐츠의 런칭으로부터 콘텐츠 자체의 명시적 가치를 넘어선 잠재적 기업가치 유발효과까지 평가하는 것으로 확인된 것이다. 따라서 관련기업 및 업계에서는 신규 콘텐츠가 지니는 명시적 가치뿐만 아니라 잠재적 가치유발 효과까지 고려한 런칭활동을 실시해야할 것이며, 이로부터 기업가치의 극대화를 통한 지속적 성장과 발전을 도모하여야 할 것이다.

통계적 분석기법을 이용한 디젤기관의 고장진단 방법에 관한 연구 (The Fault Diagnosis Method of Diesel Engines Using a Statistical Analysis Method)

  • 김영일;오현경;유영호
    • Journal of Advanced Marine Engineering and Technology
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    • 제30권2호
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    • pp.247-252
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    • 2006
  • Almost ship monitoring systems are event driven alarm system which warn only when the measurement value is over or under set point. These kinds of system cannot warn until signal is growing to abnormal state that the signal is over or under the set point. therefore cannot play a role for preventive maintenance system. This paper proposes fault diagnosis method which is able to diagnose and forecast the fault from present operating condition by analyzing monitored signals with present ship monitoring system without any additional sensors. By analyzing the data with high correlation coefficient(CC), correlation level of interactive data can be defined. Knowledge base of abnormal detection can be built by referring level of CC(Fault Detection CC. FDCC) to detect abnormal data among monitored data from monitoring system and knowledge base of diagnosis built by referring CC among interactive data for related machine each other to diagnose fault part.