• Title/Summary/Keyword: 자기이상

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Geomagnetic Field Properties and Magnetic Interpretation in the Southern Part of the Ulleung Basin (鬱陵盆地 남단해역의 地磁場 特性 및 磁氣異常 解析)

  • 박찬홍;석봉출
    • 한국해양학회지
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    • v.26 no.2
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    • pp.117-132
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    • 1991
  • Marine total magnetic intensity over the southern part of the Ulleung Basin and geomagnetic data measured at a land base station are analyzed. Fourteen days observation of geomagnetic field at a fixed on-land base station showed how the geomagnetic field around the study area behaves. geomagnetic data at the base station can also be used as correction data for a diurnal variation. Magnetic anomalies in the study area do not reflect an effect of sea bottom topography but mainly subsurface basement. The southern part of the Ulleung Basin can be devided into two zones according to a different anomaly pattern; along the coastal shelves the isolated anomalies with a short wave and a strong amplitude are dominant, and toward the open sea the anomalies become much more subdued. The high anomaly zone adjoined to land is interpreted to be caused by granitic intrusives or volcanic rocks, and the weak anomaly zone to the outer sea to be arisen from an existence of deep basement. A spectrum analysis is applied to estimate magnetic basement depths from three anomaly profiles with a long period and a weak amplitude toward the outer sea. The calculated depths are 7.0km, 5.0km, and 2.6km respectively from outer profile. The basement might be correlated with the mixed layer of tuff, basalt, and sediment, which had been defined as L-2 layer in the Yamato basin and the Japan Basin.

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Effect of Some Treatments on the Autolysis of Baker's Yeast (Saccharomyces cerevisiae) (빵효모의 자기분해에 대한 몇가지 처리의 효과)

  • Choi, Im-Soon;Shim, Kyung-Mi
    • Journal of the Korean Society of Food Science and Nutrition
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    • v.13 no.3
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    • pp.313-318
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    • 1984
  • Some chemical, biochemical and physical treatments on the baker's yeasts (Saccharomyces cerevisiae) before 12-hour digestion at $50^{\circ}C$ were made to accelerate their autolysis. Dilute alkali treatment with 0.01N-NaOH solution showed a considerable increase in soluble nitrogen extraction only in the 6-hour initial autolysis. The addition of fresh yeast autolysate, 10% to the yeast slurry, could increase the autolysis rate from 65% to 83%. Microwave treatment of yeast slurry for 40 seconds also raised the autolysis rate by about 15%, while longer exposures to the microwave accompanying high temperatures repressed the autolysis process. Extrusion of the yeast cells with high pressures of 16,000 to 20,000 psi brought about significantly higher autolysis rate until the digestion time of 9 hours, but thereafter it showed a gradual drop in soluble nitrogen extraction.

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자기변형재료를 이용한 초정밀 액추에이터개발

  • 황진동;김선호;안증환
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2004.05a
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    • pp.138-138
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    • 2004
  • 자기변형(magnetostriction)이란 강자성을 띤 재료가 외부에서 인가된 자장에 놓이게 될 경우 재료의 자구 내에서 자기모멘트가 자장방향으로 정렬하면서 물체의 크기가 변하는 현상이다. 자기변형 재료는 가장 보편적으로 사용되고 있는 PZT보다 최고 10배 이상의 자기변형율을 가지면서 직경(20mm)에서 약 12kN의 힘을 발생시킬 수가 있고 자기장 방향과는 무관하게 항상 양의 자기변형을 가지는 재료이다. 주변형이 일어나는 영역에서의 자기변형은 자장에 선형적으로 비례한다.(중략)

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Anomaly behavior detection using Negative Selection algorithm based anomaly detector (Negative Selection 알고리즘 기반 이상탐지기를 이용한 이상행 위 탐지)

  • 김미선;서재현
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2004.05b
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    • pp.391-394
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    • 2004
  • Change of paradigm of network attack technique was begun by fast extension of the latest Internet and new attack form is appearing. But, Most intrusion detection systems detect informed attack type because is doing based on misuse detection, and active correspondence is difficult in new attack. Therefore, to heighten detection rate for new attack pattern, visibilitys to apply human immunity mechanism are appearing. In this paper, we create self-file from normal behavior profile about network packet and embody self recognition algorithm to use self-nonself discrimination in the human immune system to detect anomaly behavior. Sense change because monitors self-file creating anomaly detector based on Negative Selection Algorithm that is self recognition algorithm's one and detects anomaly behavior. And we achieve simulation to use DARPA Network Dataset and verify effectiveness of algorithm through the anomaly detection rate.

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