• YAKHAK HOEJI
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• v.55 no.3
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• pp.260-266
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• 2011

Two types of water soluble lysine salts of ibuprofen were prepared and evaluated. Physicochemical properties for ibuprofen-l-lysinate (IBL-l), ibuprofen-dl-lysinate (IBL-dl) and ibuprofen (IB) were studied on melting point, specific ratation, UV spectra and $^1H$-NMR spectra. There were not differences between IBL-dl and IBL-l in UV spectra and $^1H$-NMR spectra. The pharmacokinetic parameters of IB were compared to those of its lysine salts (IBL-l and IBL-dl) after i.v. or oral administration at the dose of 50 mg/kg (calculated as IB). Total body clearance ($CL_t$) and area under the plasma concentration-time curve (AUC) were not different between IB group and IBL groups after i.v. administration. On the other hand, IBL-l and IBL-dl produced peak plasma concentrations ($C_{max}$) significantly ealier and higher than IB. Time to reach peak concentration ($T_{max}$) after IBL administration was lower than that after IB administration. There was no difference in AUC across all different groups (IB, IBL-l and IBL-dl) after oral administration. However, absorption rate constant ($k_a$) of IBL-l and IBL-dl were significantly increased than that of IB. These results indicated that the administration of IBL-l and IBL-dl may be advantageous if rapid and reliable onset of pain relief is required.

• The Korea Journal of Herbology
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• v.26 no.4
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• pp.115-124
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• 2011

Objective : Membranous nephropathy(MN) is one of the most common causes of nephrotic syndrome in adults. MN has been defined as granular subepithelial deposition of IgG immune complexes along the glomerular basement membrane(GBM). However, there is not a satisfactory treatment for MN. We aimed to identify the effect of Impatiens balsamina Linne(IBL) treatment on cationic bovine serum albumin(cBSA)-induced MN in a mouse model. Methods : Mice were divided into 4 groups. The normal group was injected with saline. The Control group was treated with cBSA(50 mg/kg i.p) only. The third group IBL-100, was treated with cBSA(50 mg/kg, i.p) and IBL(100 mg/kg, p.o). The fourth group IBL-400, was treated with cBSA(50 mg/kg, i.p) and IBL (400 mg/kg, p.o). After cBSA and IBL treatment for 6 weeks, we measured change of body weight, proteinuria, serum albumin, total cholesterol, triglyceride, BUN, creatinine, IgA, IgM, IgG, TNF-${\alpha}$, IL-6 and IL-$1{\beta}$ levels. The morphologic changes of renal glomeruli were also observed with a light microscope. Results : The level of proteinuria significantly decreased and serum albumin increased in groups treated with cBSA and IBL extract compared with the control. The levels of serum triglyceride, BUN, IgG, TNF-${\alpha}$, IL-$1{\beta}$ significantly decreased in both IBL groups. In histological findings of kidney tissue, thickening of GBM decreased in both IBL groups. Conclusions : This study shows that IBL might be effective for treatment of acute stage MN. More clinical data and studies are to be done for efficient application.

• Proceedings of the Korea Information Processing Society Conference
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• 2002.11b
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• pp.949-952
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• 2002

비정상 행위를 탐지하는 네트워크 기반 침입탐지 시스템은 다른 네트워크 환경에서도 같은 학습정확도와 탐지 성능을 보여야 한다. 그러나 학습을 통한 패턴생성 알고리즘의 특성에 따라 정확도의 불일치가 나타날 수 있으며, 이에 따른 탐지 성능 또한 네트워크 환경에 따라 다르게 보고될 수 있는 가능성을 가진다. 본 논문은 침입탐지를 위한 학습 알고리즘으로 Instance 기반의 알고리즘인 IBL(Instance Based Learning)을 선택하여 학습시간의 단축과 패턴생성에 따른 분류근거의 명확성을 고려하였으며, 학습 환경 즉, 네트워크 환경의 차이에서 나타날 수 있는 정확도의 저하를 고려하여 COBWEB 과 C4.5 로 구성된 평가 요소를 침입탐지 모델에 추가함으로써 네트워크 보안관리자에게 좀더 유연한 비정상 행위 수준 탐지결과를 보고할 수 있게 하였다.

• The Journal of the Korea Contents Association
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• v.7 no.10
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• pp.59-68
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• 2007

This study examined the analyses of students and teachers' perceptions on learning style in IBL. This study analyzed 386 elementary school (ES) and 627 middle school (MS) students and 130 cyber teachers how they perceived learning styles in IBL. They filled out the 15 items questionnaire about three different learning styles (self-directed preference style, cooperative preference style, and dependent style) in IBL, and were compared their perceptions in terms of students comparisons (ES vs. MS) and students and teachers comparisons. The results showed that the students and teachers preferred the self-directed preference learning style rather than cooperative preference style and dependent styles. However, the teachers judged the students more likely self-directed and dependent style than the students judged themselves. Also, there were statistically significant differences between ES and MS students on the dependent learning style and ES and MS teachers as well. In conclusion, this study suggests the different design and development strategies in IBL contents for ES and MS students preferred teaming styles. Tutoring strategies for cyber teachers should be also developed to understand learners' different loaming styles in IBL.

• Journal of Digital Convergence
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• v.12 no.7
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• pp.371-378
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• 2014

We understand the real form with light and it make us to visualize the world. Hence, light have got a great influence on formative arts in many ways from ancient time to now. Invisible and substantial light is described by many representational tools in various way and project the illusion. Projected illusion caused the change in human and general social culture. For such a reason, the representation of light is most important issue without distinction of age, space and genre. Now we are faced with CGI light just same as real light. So we need to study about properties of CGI light representation.

• International Journal of Internet, Broadcasting and Communication
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• v.14 no.3
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• pp.131-142
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• 2022

This study aims to explore how college students have adjusted to Internet-based learning (IBL) since the pandemic and how they have subjectively experienced their Internet-based classes including live-streaming and recorded classes. We conducted a qualitative study on 16 college students in South Korea. The analysis of the in-depth interviews revealed that despite early negative experiences regarding adjustment to IBL, the participants seemed to have developed an increased sense of control over their learning and simultaneously reported a greater need for self-discipline and social support in order to stay motivated. Also, instructors' digital competence and creative attempts to facilitate class communication and discussion appeared to have influence on successful IBL. Lastly, the participants' physical learning environments seemed to impact their online learning in terms of their level of alertness and motivation for study. Implications and suggestions were discussed.

• The Journal of Aerospace Industry
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• s.65
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• pp.89-106
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• 2003

항공기의 자동 착륙 알고리즘을 위한 고 정밀 유도방식에 IBLS(Integrity Beacons Landing System)나 MLS(Microwave Landing System)와 같은 유도 제어 방식을 사용하여 유인 항공기나 무인 항공기의 유도 착륙에 사용하고 있다. 당 연구에서는 무인항공기의 자동 착륙을 위한 실제적인 요구사항들이 분석되었고, 자동 착륙 유도장치로 IBLS와 MLS가 선택되어 각각의 기능과 특성들이 수학적으로 모델링 되었다. 또한 고전제어와 최적제어의 2가지 방식으로 무인항공기의 자동 착륙을 통제하기 위한 autopilot이 설계되어 그 유효성과 특징들이 분석되었다. IBLS, MLS, autopilot, 그리고 이러한 자동 착륙 유도제어 시스템이 적용되는 대상체인 무인항공기와 대기환경 및 외란에 대한 수학적 모델들은 Simulink와 ANSI C를 사용하여 단위 S/W 모듈들로 작성되었고, 여기에 GUI모듈이 추가되어 하나의 통합 시뮬레이션 S/W가 완성되었다. 모의시험평가는 총 2단계로 구성되었는데, 대기 외란이 주어졌을 때 IBLS와 MLS의 유효성을 1차적으로 검증하였고, 2단계 모의수치실험에서는 MLS 유도센서 방식에 따른 고전제어기 및 최적제어기의 항공기 종 방향 운동에 대한 강인성 비교를 시도하였다.

• Journal of Korea Multimedia Society
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• v.9 no.6
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• pp.762-772
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• 2006

Instance based learning algorithm is the best known lazy learner and has been successfully used in many areas such as pattern analysis, medical analysis, bioinformatics and internet applications. However, its feature weighting scheme is too naive that many other extensions are proposed. Our version of IB3 named as eXtended IBL (XIBL) improves feature weighting scheme by backward stepwise regression and its distance function by VDM family that avoids overestimating discrete valued attributes. Also, XIBL adopts leave-one-out as its noise filtering scheme. Experiments with common artificial domains show that XIBL is better than the original IBL in terms of accuracy and noise tolerance. XIBL is applied to two important applications - intrusion detection and spam mail filtering and the results are promising.

• Proceedings of the Korea Information Processing Society Conference
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• 2003.05c
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• pp.2001-2004
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• 2003

비정상 행위의 탐지를 위한 침입탐지 시스템의 성능을 좌우하는 가장 큰 요인들은 패킷의 손실없는 수집과 해당 도메인에 알맞은 분류 기법이라 할 수 있다. 본 논문에서는 기존의 탐지엔진에 적용된 알고리즘의 부류에서 벗어나 Instance 기반의 알고리즘인 IBL(Instance Based Learning)을 선택하여 학습시간의 단축과 패턴생성에 따른 분류근거의 명확성을 고려였다. 또한, 기존 IBL에 포함되어 있는 Symbolic value 의 거리계산 방식에서 네트워크의 로우 데이터인 패킷을 처리하는데 따르는 문제를 해결하기 위해 VDM(Value Difference Matrix)을 사용함으로써 탐지률을 향상시킬 수 있었다. Symbolic value간의 거리계산에 따른 성능향상의 정도를 알아보기 위해 VDM 적용 유무에 따른 실험결과와 탐지엔진에 적용되었던 알고리즘들인 COWEB 과 C4.5를 이용한 결과를 비교분석 하였다.

• The KIPS Transactions:PartC
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• v.11C no.3
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• pp.301-308
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• 2004

Misuse IDS is known to have an acceptable accuracy but suffers from high rates of false alarms. We show a behavior based alarm reduction with a memory-based machine learning technique. Our extended form of IBL, (XIBL) examines SNORT alarm signals if that signal is worthy sending signals to security manager. An experiment shows that there exists an apparent difference between true alarms and false alarms with respect to XIBL behavior This gives clear evidence that although an attack in the network consists of a sequence of packets, decisions over Individual packet can be used in conjunction with misuse IDS for better performance.