• 한국수산과학회지
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• 제14권2호
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• pp.47-58
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• 1981

1. 낙동강 하류수의 수질조성을 파악하기 위하여 1974년 3월에서 1980년 4월까지 물금지역의 측정치2,374개 및 남지에서 원동사이 지역 측정지 483개로부터 전기전도도에 대한 염화이온, 황산이온, 칼슘, 마그네슘, 나트륨, 칼륨, 주요무기이온 총양과의 상관관계 및 염화이온, 황산이온, 칼슘, 마그네슘, 나트륨, 칼륨의 각 성분양간의 상관관계를 계산했다. 2. 물금지역에서의 각 성분양의 전기전도도에 대한 관계는 대체로 1상이온은 반대수관계가 좋았고 2상이온은 양이대수관계가 좋았다. 이 때 최소자승법으로 처리한 전기전도도($\lambda_{25}$)에 대한 각 성분양(C)의 관계식은 다음과 같다. 염화이온 $log\;C(ppm)=2.37{\cdot}\lambda_{25}(m{\mho}/cm)+0.733{\pm}0.141$, 황산이온 $log\;C(ppm)=1.12{\cdot}log\lambda_{25}(m{\mho}/cm)+2.14{\pm}0.18$,칼슘$log\;C(ppm)=0.615{\cdot}log\lambda_{25}(m{\mho}/cm)+1.67{\pm}0.12$, 마그네슘$log\;C(ppm)=0.756{\cdot}log\lambda_{25}(m{\mho}/cm)+1.27{\pm}0.11$,나트륨$log\;C(ppm)=2.82{\cdot}\lambda_{25}(m{\mho}/cm)+0.551{\pm}0.133$,칼륨$log\;C(ppm)=1.33{\cdot}\lambda_{25}(m{\mho}/cm)+0.136{\pm}0.095$, 주요무기 이온 총양 $C(ppm)=399{\cdot}\lambda_{25}(m{\mho}/cm)-0.9{\pm}14.6$. 3. 남지와 원동사이 지역에서도 각 성분양(C)의 전기전도도($\lambda_{25}$)에 대한 관계는 대체로 1상이온은 반대수관계가 좋았고 2상이온은 양이대수관계가 좋았으며, 이 때 최소자승법으로 처리에 인한 관계식은 다음과 같다. 염화이온 $log\;C(ppm)=4.27{\cdot}\lambda_{25}(m{\mho}/cm)+0.380{\pm}0.138$, 황산이온$log\;C(ppm)=0.915{\cdot}log\lambda_{25}(m{\mho}/cm)+1.95{\pm}0.18$,칼슘 $log\;C(ppm)=0.756{\cdot}log\lambda_{25}(m{\mho}/cm)+1.74{\pm}0.12$, 마그네슘$log\;C(ppm)=1.00{\cdot}log\lambda_{25}(m{\mho}/cm)+1.41{\pm}0.10$. 나트륨$log\;C(ppm)=2.47{\cdot}\lambda_{25}(m{\mho}/cm)+0.614{\pm}0.065$, 칼륨$log\;C(ppm)=1.62{\cdot}\lambda_{25}(m{\mho}/cm)+0.030{\pm}0.060$, 주요무기이온 총양 $C(ppm)=323{\cdot}\lambda_{25}(m{\mho}/cm)+11.7{\pm}9.3$. 4. 물금지역에서 각 성분양간에는 상관계수 $0.502\sim0.803$의 뚜렷한 관계가 있었으며 대체로 직선관계보다는 양이대수관계가 좋았다. 이 때의 최소자승법으로에 인한 각 성분양간의 관계식은 다음과 같다. $log\;Cl(ppm)=0.711{\cdot}log\;SO_4(ppm)+0.488{\pm}0.206$, $log\;Cl(ppm)=0.337{\cdot}log\;Ca(ppm)+0.822{\pm}0.130$, $log\;Cl(ppm)=0.605{\cdot}log\;Mg(ppm)-0.017{\pm}0.154$, $Cl(ppm)=0.676{\cdot}Na(ppm)+2.31{\pm}4.67$, $log\;Cl(ppm)=0.406{\cdot}log\;K(ppm)-0.092{\pm}0.112$, $log\;SO_4(ppm)=0.378{\cdot}log\;Ca(ppm)+0.721{\pm}0.125$, $log\;SO_4(ppm)=0.462{\cdot}log\;Mg(ppm)+0.107{\pm}0.118$, $log\;SO_4(ppm)=0.592{\cdot}log\;Na(ppm)+0.313{\pm}0.191$, $log\;SO_4(ppm)=0.308{\cdot}log\;K(ppm)-0.019{\pm}0.120$, $Ca(ppm)=0.262{\cdot}Mg(ppm)+0.74{\pm}1.71$. $log\;Ca(ppm)=1.10{\cdot}log\;Na(ppm)-0.243{\pm}0.239$, $Ca(ppm)=0.0737{\cdot}K(ppm)+1.26{\pm}0.73$, $log\;Mg(ppm)=0.0950{\cdot}Na(ppm)+0.587{\pm}0.159$, $log\;Mg(ppm)=0.0518{\cdot}K(ppm)+0.111{\pm}0.102$, $Na(ppm)=0.0771{\cdot}K(ppm)+1.49{\pm}0.59$. 5. 남지에서 원동사이 지역의 각 성분양간에는 칼슘의 염화이온에 대한 관계가 상관계수 0.189로 거의 관계가 없었으며 그 외는 대체로 상관계수$0.330\sim0.868$의 양이대수관계가 있었다. 이 때의 최소자승법으로 처리한 관계식은 다음과 같다. $log\;Cl(ppm)=0.312{\cdot}log\;SO_4(ppm)+0.907{\pm}0.210$, $log\;Cl(ppm)=0.458{\cdot}log\;Mg(ppm)+0.135{\pm}0.130$, $Cl(ppm)=0.484{\cdot}logNa(ppm)+0.507{\pm}0.081$, $Cl(ppm)=0.0476{\cdot}K(ppm)+1.41{\pm}0.34$, $log\;SO_4(ppm)=0.886{\cdot}log\;Ca(ppm)+0.046{\pm}0.050$, $log\;SO_4(ppm)=0.422{\cdot}log\;Mg(ppm)+0.139{\pm}0.161$, $log\;SO_4(ppm)=0.374{\cdot}log\;Na(ppm)+0.603{\pm}0.140$, $log\;SO_4(ppm)=0.245{\cdot}log\;K(ppm)+0.023{\pm}0.102$, $log\;Ca(ppm)=0.587{\cdot}log\;Mg(ppm)+0.003{\pm}0.088$, $log\;Ca(ppm)=0.892{\cdot}log\;Na(ppm)+0.028{\pm}0.109$, $log\;Ca(ppm)=0.294{\cdot}log\;K(ppm)-0.001{\pm}0.085$, $log\;Mg(ppm)=0.600{\cdot}log\;Na(ppm)+0.674{\pm}0.120$, $log\;Mg(ppm)=0.440{\cdot}log\;K(ppm)+0.038{\pm}0.081$, $log\;Na(ppm)=0.522{\cdot}log\;K(ppm)-0.260{\pm}0.072$.

• 융합보안논문지
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• 제20권5호
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• pp.27-32
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• 2020

Windows Event Log에는 시스템의 전반적인 동작들을 정의하고 있는 Log이며, 해당 파일에는 사용자의 여러 행위 및 이상 징후를 탐지할 수 있는 데이터가 저장되어 있다. 하지만 행위마다 Event Log가 발생함으로써, 로그들을 분석할 때, 상당한 시간이 소요된다. 따라서 본 연구에서는 NSA에서 발표한 "Spotting the Adversary with Windows Event Log Monitoring"의 주요 Event Log 목록을 바탕으로 XML 기반한 Event Log 분석 도구를 설계 및 구현 하였다.

• 한국지하수토양환경학회지:지하수토양환경
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• 제27권6호
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• pp.47-57
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• 2022

A number of different methods have been used for modeling the sorption of volatile organic chlorinated compounds such as tetrachloroethylene/perchloroethylene (PCE). In this study, PCE was adsorbed in several natural sorbents, i.e., Pahokee peat, vermicompost, BionSoil^®, and natural soil, in the batch experiments. Several sorption models such as linear, Freundlich, solubility-normalized Freundlich model, and Polanyi-Manes model (PMM) were used to analyze sorption isotherms. The relationship between sorption model parameters, organic carbon content (f_oc), and elemental C/N ratio was studied. The organic carbon normalized partition coefficient values (log K_oc = 1.50-3.13) in four different sorbents were less than the logarithm of the octanol-water partition coefficient (log K_ow = 3.40) of PCE due to high organic carbon contents. The log K_oc decreased linearly with log f_oc and log C/N ratio, but increased linearly with log O/C, log H/C, and log (N+O)/C ratio. Both log K_F,oc or log K_F,oc decreased linearly with log f_oc (R² = 0.88-0.92) and log C/N ratio (R² = 0.57-0.76), but increased linearly with log (N+O)/C (R² = 0.93-0.95). The log q_max,oc decreased linearly as log f_oc and log C/N increased, whereas it increased with log O/C, log H/C and log (N+O)/C ratios. The log q_max,oc increased linearly with (N+O)/C indicating a strong dependence of q_max,oc on the polarity index. The results showed that PCE sorption behaviors were strongly correlated with the physicochemical properties of soil organic matter (SOM).

• 한국컴퓨터정보학회논문지
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• 제21권3호
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• pp.39-45
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• 2016

In this paper, we propose a log management service model for efficient developments of android applications. The proposed model consists of two major parts which are the log collector and the log manager service. The log collector can capture the log information of a target application without modifications, because the collector is composed by aspect-oriented programming. The collected logs are transformed to chunk of data, and the chunk of data is sent to the log management service. The log management service is an android service component and an independent application in another process. So, the log management service can reduce the workload of logging in the target application. Through a case study, we show that the proposed log management service model can reduce the log processing time compared to other models without modifications of a target application.

• 한국컴퓨터정보학회논문지
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• 제21권10호
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• pp.69-76
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• 2016

In this paper, we propose a real-time remote logging model for development of android applications using LBS(Location based Service). The model has two major parts: Mobile Log Management Service and Remote Log Server. Mobile Log Management Service consists of the log collector and the remote log manager. The log collector is an aspect of AOP which can collect logs from the target application without modifications of source codes. The remote log manager has a background service component so that it can receive logs whenever the log collector captures logs from the target application. Remote Log Server communicates with Mobile Log Management Service by socket interface. Therefore, Remote Log Server can show logs in real-time. To validate the efficiency of the proposed model, we show a case study, and compare the model with other models.

• 디지털산업정보학회논문지
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• 제7권4호
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• pp.39-45
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• 2011

Application log files contain error messages; operational data and usage information that can help manage applications and servers. Log analysis system is software that read and parse log files, extract and aggregate information in order to generate reports on the application. In currently, the importance of log files of firewalls is growing bigger and bigger for the forensics of cyber crimes and the establishment of security policy. In this paper, we designed and implemented the SILAS(SysLog-based Integrated Log mAanagement System) in distribute network environments. It help to generate reports on the the log fires of firewalls - IP and users, and statistics of application usage.

• 한국의류학회지
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• 제24권2호
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• pp.277-285
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• 2000

The purpose of this study was to quantify the relationship between the sense of touch and mechanical properties of man-made leather. The first was to develop the five conversion equations which convert mechanical properties of man-made leather into five factor scores, which express five factors of the sense of touch(surface property, stretchiness, thickness & weight, thermal property(warmth & coolness), and moisture property(sticky & clingy)). The second was to develop the conversion equation which converts five factor scores into score of the sense of touch. Five factor scores were predicted by the following mechanical properties; surface property factor by log2HB and (log2HB)2, stretchiness factor by logEM, thickness & weight factor by logT, log2HB, logW, thermal property factor by logT, logHB, logSMd, and moisture property factor by logMMD, RC, RC2, (logEM)2, RT2. Subsequently, these five factor scores were converted into score of the sense of touch. The predictive abilities of the developed equations were satisfied.

• 호남수학학술지
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• 제35권2호
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• pp.137-146
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• 2013

Motivated essentially by their potential for applications in a wide range of mathematical and physical problems, the log-sine and log-cosine integrals have been evaluated, in the existing literature on the subject, in many different ways. The main object of this paper is to present explicit evaluations of some families of log-sine and log-cosine integrals by making use of the familiar Beta function.

• 임산에너지
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• 제17권1호
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• pp.23-29
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• 1998

중국 백두산 북부지역 소나무천연림을 대상으로 임분의 biomass를 추정하기 위하여 5개 등급 밀도별로 각각 7본씩 표본목을 선정하여 벌도한 후 4개의 상대생장식(W=aDb, W=a(D2H)b, logW=a b·logD＋cD, logW=a＋b·log(D2H)＋c(D2H)을 이용하여 부위별로 biomass 추정식을 유도하였다. 밀도가 다른 임분에서 부위별로 적합한 biomass 추정식 유형이 다르게 나타났는데 줄기, 수피 및 지상부 전체 biomass량을 추정하는 경우, logW=a＋b·log(D2H)＋c(D2H)식이 결정계수는 높고 상대오차 추정치는 낮게 나타나 적합도가 높았다. 가지, 잎 biomass량 및 엽면적의 경우는 logW=a＋b·logD＋cD식이 상관계수가 높고 상대오차 추정치는 낮게 나타나 적합하였다.

• 한국습지학회지
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• 제16권2호
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• pp.245-250
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• 2014

본 연구는 제주도 곶자왈습지에서 서식하는 상록활엽수인 종가시나무의 지상부 생물량에 대한 상대생장식을 개발하기 위하여 수행되었다. 그 결과 독립변수가 DBH일 때, 줄기(Ws), 가지(Wb), 잎(Wl) 그리고 지상부(Wab)의 상대생장식은 각각 logWs=2.4042logDBH-1.3045, logWb=2.6436logDBH-1.6232, logWl=1.5428logDBH-1.3692 그리고 logWab=2.3324logDBH-0.9181이었다. 독립변수가 $D^2H$일 때, 줄기(Ws), 가지(Wb), 잎(Wl) 그리고 지상부(Wab)의 상대생장식은 각각 logWs=$0.853logD^2H-1.4252$, logWb=$0.8453logD^2H-1.5834$, logWl=$0.5328logD^2H-1.4073$ 그리고 logWab=$0.8453logD^2H-1.0327$이었다. 독립변수가 DBH일 때, 줄기, 가지 잎 그리고 지상부 상대생장식의 $R^2$값은 0.9873, 0.9711, 0.7979 그리고 0.993 이었고 독립변수가 $D^2H$일 때 0.9841, 0.9174, 0.7537 그리고 0.9876 이었다. 독립변수가 DBH인 상대생장식과 $D^2H$인 상대생장식은 모두 관측값과 예측값 사이에 통계적으로 유의한 차이가 없어 어느 상대생장식을 사용하더라도 결과에는 차이가 없었다.