• Title/Summary/Keyword: multi-log

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A Multi-chambered Single Autoinjector and KMARK-1 Containing Atropine and 2-PAM: Comparative Bioavailability Studies Using Single Intramuscular Injection with Beagle Dogs (아트로핀 및 팜 함유 다중챔버 단일주사기 및 KMARK-1: 비글개를 이용한 단회 근육투여 비교 생체이용률 연구)

  • Lee, Keunwoo;An, Seoyeon;Kwon, Taekeun;Jung, Inhong;Kim, Dongyeon
    • Journal of the Korea Institute of Military Science and Technology
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    • v.20 no.4
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    • pp.587-596
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    • 2017
  • In this study, multi-chambered single autoinjector(2in1) and KMARK-1 containing atropine and 2-PAM(pyridine-2-aldoxime methylchloride) were administered to the beagle's muscle, and blood samples were taken for a certain period of time to compare and evaluate the pharmacokinetic profiles of the two drugs. Male beagles were used and classified into two test groups(G1, G2), and crossover pharmacokinetic studies were performed in two test groups. Blood samples were collected from the jugular vein for analysis after administration. The 90 % confidence interval(CI) for log transformed data indicated that the Cmax for both atropine(log 0.9683 ~ log 1.113) and 2-PAM(log 0.9453 ~ log 1.214) was within the limits of bioequivalence criteria, but the AUC for atropine(log 1.1786 ~ log 1.3238) failed to meet this criteria. This is expected as the amount of atropine dose is 25 % higher for the test as compared to the reference formulation. In summary, in view of the ATNAA(antidote for nerve agent of US) authorization, the Cmax equivalence was more important than AUC equivalence, so in this study, we also focused on verifying the equality of Cmax between the two autoinjectors.

A Stability Verification of Backup System for Disaster Recovery (재해 복구를 위한 백업 시스템의 안정성 검증)

  • Lee, Moon-Goo
    • Journal of the Institute of Electronics and Information Engineers
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    • v.49 no.9
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    • pp.205-214
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    • 2012
  • The main thing that IT operation managers consider is protecting assets of corporation from system failure and disaster. Therefore, this research proposed a backup system for a disaster recovery. Previous backup method is that if database update occurs, this record is saved in redo log, and if the size of record file is over than expected, this file is saved in archive log in order. Thus, it is possible to occur errors of data loss from the process of data backup which change in real time while changes of database occur. Suggested backup system is back redo log up to database of transaction log in real time, and back a record that can be omitted from previous backup method up to archive log. When recover the data, it is possible to recover redo log in real time online, and it minimizes data loss. Also, throughout multi thread processing method data recovery is performed and it is designed that system performance is improved. To verify stability of backup system CPN(Coloured Petri Net) is introduced, and each step of backup system is displayed in diagram form, and th e stability is verified based on the definition and theorem of CPN.

Design and Analysis of the Log Authentication Mechanism based on the Merkle Tree (Merkle Tree 기반의 로그인증 메커니즘 설계 및 분석)

  • Lee, Jung yeob;Park, Chang seop
    • Convergence Security Journal
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    • v.17 no.1
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    • pp.3-13
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    • 2017
  • As security log plays important roles in various fields, the integrity of log data become more and more important. Especially, the stored log data is an immediate target of the intruder to erase his trace in the system penetrated. Several theoretical schemes to guarantee the forward secure integrity have been proposed, even though they cannot provide the integrity of the log data after the system is penetrated. Authentication tags of these methods are based on the linear-hash chain. In this case, it is difficult to run partial validation and to accelerate generating and validating authentication tags. In this paper, we propose a log authentication mechanism, based on Mekle Tree, which is easy to do partial validation and able to apply multi threading.

Multichannel Gabor Filler and Log-Polar Transform for Content-Based Image Retrieval (다채널 Gabor 필터와 Log-Polar 변환을 사용한 내용기반 영상 검색)

  • Park, Hyun;Moon, Young-Shik
    • Proceedings of the IEEK Conference
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    • 2000.06c
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    • pp.181-184
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    • 2000
  • In this paper, we propose new features for describing texture images by using multi-channel Gabor filter and log-polar transform based on human visual system (HVS). Gabor features are extracted by the mean and standard deviation of energy in Gabor response, followed by Fourier series extension. Log-polar features are extracted by log-polar transform and projection. The proposed texture descriptor performs reasonably well with less number of features than other texture descriptors, which has been verified by experiments using some texture images of MPEG-7 data set.

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Multi-Emotion Recognition Model with Text and Speech Ensemble (텍스트와 음성의 앙상블을 통한 다중 감정인식 모델)

  • Yi, Moung Ho;Lim, Myoung Jin;Shin, Ju Hyun
    • Smart Media Journal
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    • v.11 no.8
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    • pp.65-72
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    • 2022
  • Due to COVID-19, the importance of non-face-to-face counseling is increasing as the face-to-face counseling method has progressed to non-face-to-face counseling. The advantage of non-face-to-face counseling is that it can be consulted online anytime, anywhere and is safe from COVID-19. However, it is difficult to understand the client's mind because it is difficult to communicate with non-verbal expressions. Therefore, it is important to recognize emotions by accurately analyzing text and voice in order to understand the client's mind well during non-face-to-face counseling. Therefore, in this paper, text data is vectorized using FastText after separating consonants, and voice data is vectorized by extracting features using Log Mel Spectrogram and MFCC respectively. We propose a multi-emotion recognition model that recognizes five emotions using vectorized data using an LSTM model. Multi-emotion recognition is calculated using RMSE. As a result of the experiment, the RMSE of the proposed model was 0.2174, which was the lowest error compared to the model using text and voice data, respectively.

Diagnosis Analysis of Patient Process Log Data (환자의 프로세스 로그 정보를 이용한 진단 분석)

  • Bae, Joonsoo
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.42 no.4
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    • pp.126-134
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    • 2019
  • Nowadays, since there are so many big data available everywhere, those big data can be used to find useful information to improve design and operation by using various analysis methods such as data mining. Especially if we have event log data that has execution history data of an organization such as case_id, event_time, event (activity), performer, etc., then we can apply process mining to discover the main process model in the organization. Once we can find the main process from process mining, we can utilize it to improve current working environment. In this paper we developed a new method to find a final diagnosis of a patient, who needs several procedures (medical test and examination) to diagnose disease of the patient by using process mining approach. Some patients can be diagnosed by only one procedure, but there are certainly some patients who are very difficult to diagnose and need to take several procedures to find exact disease name. We used 2 million procedure log data and there are 397 thousands patients who took 2 and more procedures to find a final disease. These multi-procedure patients are not frequent case, but it is very critical to prevent wrong diagnosis. From those multi-procedure taken patients, 4 procedures were discovered to be a main process model in the hospital. Using this main process model, we can understand the sequence of procedures in the hospital and furthermore the relationship between diagnosis and corresponding procedures.

QSAR Modeling of Toxicant Concentrations(EC50) on the Use of Bioluminescence Intensity of CMC Immobilized Photobacterium Phosphoreum (CMC 고정화 Photobacterium phosphoreum 의 생체발광량을 이용한 독성농도(EC50)의 QSAR 모델)

  • 이용제;허문석;이우창;전억한
    • KSBB Journal
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    • v.15 no.3
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    • pp.299-306
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    • 2000
  • Concern for the effects of toxic chemicals on the environment leads the search for better bioassay test organisms and test procedures. Photobacterium phosphoreum was used successfully as a test organism and the luminometer detection technique was an effective and simple method for determining the concentration of toxic chemicals. With EC50 a total of 14 chlorine substituted phenols benzenes and ethanes were used for the experiments. The test results showed that the toxicity to P. phosphoreum increased in the order of phenol > benzene > ethane and the toxicity also increased with the number of chlorine substitution. Quantitative structure activity relationship (QSARO) model can be used to predict EC50 to save time and endeavor. Correlation was well established with the QSAR parameters such as log P, log S and solvatochromic parameter(Vi/100 $\pi$, ${\beta}$m and am). The QSAR modeling was used with multi-regression analysis and mono-regression analysis. These analyses resulted in the following QSAR : $log EC_{50} =2.48 + 0.914 log S(n=9 R2=85.5% RE=0.378) log EC_{50}=0.35 - 4.48 Vi/100 + 2.84 \pi^* +9.46{\beta}m-4.48am (n =14 R2=98.2% RE=0.012) log EC_{50} =2.64 -1.66 log P(n=5, R2=98.8% RE=0.16) log EC_{50}=3.44 -1.09 log P(n=9 R2= 80.8% Re=0.207)$

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Optimization Design of Log-periodic Dipole Antenna Arrays Via Multiobjective Genetic Algorithms

  • Wang, H.J.
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.1353-1355
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    • 2003
  • Genetic algorithms (GA) is a well known technique that is capable of handling multiobjective functions and discrete constraints in the process of numerical optimization. Together with the Pareto ranking scheme, more than one possible solution can be obtained despite the imposed constraints and multi-criteria design functions. In view of this unique capability, the design of the log-periodic dipole antenna array (LPDA) using this special feature is proposed in this paper. This method also provides gain, front-back level and S parameter design tradeoff for the LPDA design in broadband application at no extra computational cost.

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LAD Estimators for Categorical Data Analysis (범주형 자료 분석을 위한 LAD 추정량)

  • 최현집
    • The Korean Journal of Applied Statistics
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    • v.16 no.1
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    • pp.55-69
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    • 2003
  • In this article, we propose the weighted LAD (least absolute deviations) estimators for multi-dimensional contingency tables and drive an estimation method to estimate the proposed estimators. To illustrate the robustness of the estimators, simulation results are presented for several models Including log-linear models and models for ordinal variables in multidimensional contingency tables. Examples were also introduced.

Multi-Band Antenna Using Folded Monopole Line and Log-Periodic Structure (폴디드 모노폴 선로가 부착된 대수주기 구조를 이용한 다중대역 안테나)

  • Lee, hong-Min
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.7 no.3
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    • pp.142-146
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    • 2014
  • In this paper, an antenna which has quad band in GSM/DCS/PCS/Bluetooth is proposed. This structure is designed with miniaturization for wide band characteristic based on monopole antenna and log-periodic toothed trapezoid patch antenna which has slots. To achieve multi-bandwidth is used the microstrip line on the substrate. An antenna size is $35mm{\times}20mm$ on FR-4(${\varepsilon}r=4.4$) ground substrate of $35mm{\times}75mm{\times}1mm$ size. And proposed antenna is satisfied with impedance bandwidth(VSWR ${\leq}$ 3). The simulated maximum radiation gain is 1.92 dBi, 3.26 dBi, 3.97 dBi at the center frequency of 0.92 GHz, 1.97 GHz, 2.45 GHz, respectively.