Kim, Eun-Jung;Lee, Jin-Ha;Park, Chan-Ho;Sohn, Kyung-Hee;Kim, In-Kyu;Kim, Dong-Sup;Sah, Hong-Kee;Choi, Hoo-Kyun
YAKHAK HOEJI
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v.55
no.4
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pp.324-331
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2011
Although the dissolution test can serve as an effective tool for quality control and predictor of in vivo performance, there are a number of drugs with no established dissolution specifications in Korean Pharmaceutical Codex (KPC). Among those commercially available, Piracetam Tablets and Fenoterol hydrobromide Tablets were selected to develop the dissolution testing method. The dissolution condition was determined based on the "Guidelines on Specifications of Dissolution tests for Oral dosage forms" of Korea Food & Drug Administration (KFDA). The dissolution test for Piracetam Tablets was carried out under sink condition with distilled water as dissolution medium, paddle rotation speed at 50 rpm and medium volume of 900 ml. More than 80% of its label claim was released within 30 min. In case of Fenoterol hydrobromide Tablets, distilled water was also found to be suitable to ensure sink condition. The rotation speed of 50 rpm and 900 ml of dissolution medium were used to evaluate the dissolution profile. The dissolution rate of fenoterol hydrobromide was over 90% in 15 min. The HPLC analysis methods were validated in terms of accuracy, precision, specificity, linearity, quantitation limit and range. The results suggested that the analytical methods used are simple and suitable to measure the dissolution rate of piracetam and fenoterol hydrobromide. Therefore, the analysis methods could be utilized in setting dissolution specifications of Piracetam Tablets and Fenoterol hydrobromide Tablets in the revised version of KPC.
Park, Kyoung-Hwan;Nam, Kwang-Woo;Rhee, Yang-Won;Lee, Chang-Woo
Journal of the Korea Society of Computer and Information
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v.16
no.7
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pp.105-115
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2011
In Vision-based Intelligent Transportation System(ITS) the segmentation of road region is a very basic functionality. Accordingly, in this paper, we propose a region segmentation method using adaptive pattern extraction technique to segment road regions and sky regions from original images. The proposed method consists of three steps; firstly we perform the initial segmentation using Mean Shift algorithm, the second step is the candidate region selection based on a static-pattern matching technique and the third is the region growing step based on a dynamic-pattern matching technique. The proposed method is able to get more reliable results than the classic region segmentation methods which are based on existing split and merge strategy. The reason for the better results is because we use adaptive patterns extracted from neighboring regions of the current segmented regions to measure the region homogeneity. To evaluate advantages of the proposed method, we compared our method with the classical pattern matching method using static-patterns. In the experiments, the proposed method was proved that the better performance of 8.12% was achieved when we used adaptive patterns instead of static-patterns. We expect that the proposed method can segment road and sky areas in the various road condition in stable, and take an important role in the vision-based ITS applications.
Journal of the Institute of Electronics Engineers of Korea CI
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v.40
no.1
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pp.19-29
/
2003
This paper presents a novel hybrid classifier for face recognition with artificially generated virtual training samples. We utilize both the nearest neighbor approach in feature angle space and a connectionist model to obtain a synergy effect by combining the results of two heterogeneous classifiers. First, a classifier called the nearest feature angle (NFA), based on angular information, finds the most similar feature to the query from a given training set. Second, a classifier has been developed based on the recall of stored frontal projection of the query feature. It uses a frontal recall network (FRN) that finds the most similar frontal one among the stored frontal feature set. For FRN, we used an ensemble neural network consisting of multiple multiplayer perceptrons (MLPs), each of which is trained independently to enhance generalization capability. Further, both classifiers used the virtual training set generated adaptively, according to the spatial distribution of each person's training samples. Finally, the results of the two classifiers are combined to comprise the best matching class, and a corresponding similarit measure is used to make the final decision. The proposed classifier achieved an average classification rate of 96.33% against a large group of different test sets of images, and its average error rate is 61.5% that of the nearest feature line (NFL) method, and achieves a more robust classification performance.
Journal of the Institute of Electronics Engineers of Korea SC
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v.49
no.4
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pp.45-54
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2012
Location-based services with GPS positioning technology as a key technology, but recognizing the current location through satellite communication is not possible in an indoor location-aware technology, low-power short-range communication is primarily made of the study. Especially, as Chirp Spread Spectrum(CSS) based location-aware approach for low-power physical layer IEEE802.15.4a is selected as a standard, Ranging distance estimation techniques and data transfer speed enhancements have been more developed. It is known that the distance measured by CSS ranging has quite a lot of noise as well as its bias. However, the noise problem can be adjusted by modeling the non-zero mean noise value by a scaling factor which corresponds to the change of magnitude of a measured distance vector. In this paper, we propose a localization system using the CSS signal to measure distance for a mobile node taken a measurement of the exact coordinates. By applying the extended kalman filter and least mean squares method, the localization system is faster, more stable. Finally, we evaluate the reliability and accuracy of the proposed algorithm's performance by the experiment for the realization of localization system.
Journal of agricultural medicine and community health
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v.36
no.4
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pp.218-226
/
2011
Objectives: Paraquat (PQ) is a widely used ionic pesticide that is fatal when ingested accidentally or for suicidal purposes. It is thought that chronic exposure of PQ is related with the development of Parkinson's disease, but epidemiological studies have not yet confirmed that theory. This study attempted to estimate the possibility of environmental PQ exposure through soil and water. Materials and Methods: We analyzed the amount of decomposed PQ solution in wet soil after exposure to ultraviolet light. An artificial rainfall condition was simulated over soil sprayed with PQ to measure the amount of eluted PQ. In addition, PQ was diluted in water from three differently rated rivers and the changes in PQ concentration were measured after ultraviolet exposure over one month. High performance liquid chromatography/ultra violet detection was used to analyze the concentrations of PQ. Results: In the method we used, the recovery rate of PQ showed a precision rate less than 5%, an accuracy greater than 88%, and the calibration equation was y=5538.8x-440.01($R^2$=0.9985). There were no significant differences in the concentrations of PQ obtained from the three specimens over a 1-week period. From the PQ-sprayed soil, the artificial rainfall conditions showed no PQ elution over a 1-month period, and there was no significant differences in PQ concentrations according to ultraviolet exposure among the three samples. Conclusions: PQ remains well adsorbed naturally in soil. However, it may still exist in an integrated state for a long time in the hydrosphere, so the possibility of PQ exposure through drinking water cannot be disqualified.
This study was carried out to produce antimicrobial peptides from casein using various proteases. To examine whether the hydrolysis of casein would produce antimicrobial substance and the application as natural antimicrobial material, casein was hydrolyzed by five different proteases. The casein hydrolysate was fractionated with regenerated membrane filter (molecular weight cut-off 30,000 10,000 and 3,000) and antimicrobial activity was measured for each fraction. Antimicrobial activity appeared great in the fraction below 3,000 molecular weight The fraction was re-fractionated by high performance liquid chromatography and substance of main peak (retention time: 13.2 min) collected was used as a sample to measure antimicrobial activity. Among the casein hydrolysates produced by protease, antimicrobial activity was observed the greatest in hydrolysate treated with Aspergillus oryzae protease. The minimum inhibition concentrations of the Asp. oryzae protease hydrolysate were 1.0-1.5 mg/mL. This hydrolysate was a heat stable peptide since antimicrobial activity was maintained after treating with heat for 20 min at $121^{\circ}C$.
Kim, Min-Eui;Cha, Kyong-Ho;Kim, Seung-Hee;Kim, Nam-Joo;Chae, Hyo-Jin
Korean Journal of Clinical Laboratory Science
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v.41
no.4
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pp.167-172
/
2009
Methotrexate (MTX) in one of the antineoplastic drug and it is known to effective to management of acute lymphoblastic leukemia in children, management of choriocarcinoma and related trophoblastic tumors in women, management of carcinomas of the breast, tongue, pharynx, and tests, maintenance of remission in leukemia and treatment of serve, debilitating psoriasis. Intermediate to high-dose methotrexate administration followed by leucovorin rescue is effective in treatment of carcinoma of the lung and osteogenic sarcoma. Intrathecal administration is effective in treating meningeal leukemia or lymphoma. There are FPIA (Fluorescence polarization immunoassay) and EMIT (Enzyme multiplied immunotechique) methods that measure for MTX. We evaluated the FPIA and EMIT methods. MTX were measured by Hitachi-7600 P-module using EMIT and FPIA using TDX in the sera 60 patients. The performance characteristics evaluated were, light influence, linearity, comparison with FPIA. Also, precision evaluated were three level controls through put following CLSI evaluation protocols (EP10-A). When the MTX value of $4.16{\pm}5.78{\mu}{\mu}mol/L$ (mean, SD) by the Hitachi-7600 P-module was compared with that of $4.05{\pm}5.47{\mu}{\mu}mol/L$ by FPIA, coefficients of correlation of 0.988 was obtained. The regression equation was Y (Hitachi-7600 P-module) = 0.9408 x (FPIA) + 0.1316 (r=0.9885, n=60). CVs of MTX measured by Hitachi 7600 P-module was 6.78% at $0.33{\mu}{\mu}mol/L$, 0.96% at $1.16{\mu}{\mu}mol/L$, and 0.96% at $8.04{\mu}{\mu}mol/L$. The precision was excellent in each group. The linearity was acceptable. We evaluated that MTX is light-sensitive on prolonged exposure to direct sunlight. Comparing with the FPIA using TDX, the Hitachi-7600 P-module using EMIT showed good coefficient of correlation and precision. Therefore the Hitachi-7600 P-module can replace the FPIA for quantitative analysis of MTX.
Kim, Keum Soon;Yi, Myungsun;Bang, Kyung-Sook;Cho, Young Ae;Lee, Jung Lim;Lee, Eun
Perspectives in Nursing Science
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v.10
no.2
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pp.87-96
/
2013
Purpose: The purpose of this study was to investigate the relationships of activity status, anxiety, depression, social support, symptom experience, and functional status in patients with lung cancer based on the theory of unpleasant symptoms. Methods: The participants for this study were 101 lung cancer patients who visited the out-patient department for treatment or follow-up at one hospital in Seoul. Data were collected from January 1 to February 8, 2013 using self-reported questionnaires and clinical records. To measure variables, the functional scale and symptom scale of the European Organization for Research and Treatment of Cancer (EORTC) Quality of Life Questionnaire-Core 30, EORTC QLQ-Lung Cancer 13, Eastern Cooperative Oncology Group Performance Status, Hospital Anxiety and Depression Scale, and Multidimensional Scale of Perceived Social Support were used in this study. The data were analyzed using SPSS 19.0 software for Windows. Results: The symptom experience showed more severity in patients with lower activity status, higher anxiety and depression. With lower activity status and social support, functional status was lower. When anxiety, depression, and symptom experience were higher, functional status was also lower. The significant factors predicting symptom experience were depression, anxiety, activity status, and social support, which explained 57.8% of the variance. Conclusion: These results suggest that psychological factors such as anxiety and depression had a negative influence on the symptom experience of lung cancer patients. Therefore, providing emotional support based on the patients' needs prior to providing symptom management could be a useful strategy for improving symptom experience and functional status.
Purpose: The purpose of this study is to compare the user satisfaction between 4-bedrooms and 5/6-bedrooms in a single general hospital. Methodology: To measure and compare multiple-bed ward user satisfaction between 4-bedrooms and 5/6-bedrooms, questionnaires were collected from 916 inpatients and 129 nurses in a single general hospital. The patient satisfaction questionnaire categories included environmental conditions, protection of privacy, and medical services. The nurse satisfaction questionnaire categories included space, infection control, patient safety, work load and psychologic view point. Findings: Satisfaction of patient who admitted in 4-bedroom to the environmental conditions and protection of privacy was higher than that of 5/6-bedroom group (3.91 vs. 3.25, p<0.001). Satisfaction of nurse who worked in 4-bedroom was higher than that of 5/6-bedroom (3.05 vs. 1.92, p<0.001). By the multiple linear regression analysis, patient satisfaction to the environmental conditions and protection of privacy was related with multi-bedroom type and location of beds; 4-bedrooms were higher than 5/6-bedrooms(p<0.001), window side bed were higher than hallway side bed(p=0.001). There was no satisfaction difference in comparing medical services between the two groups. By the multiple linear mixed regression analysis, nurse satisfaction who were assigned for 4-bedrooms were higher than that of 5/6-bedrooms in all categories(p<0.001). Practical Implications: Even though no difference has shown in medical services satisfaction between the two patient groups, multi-bedroom type may affect patient satisfaction in environmental condition, protection of privacy and may also affect overall nurse satisfaction. This result suggests that to improve multi-bedroom user satisfaction, 4-bedroom is recommended over 5/6-bedroom.
The Journal of the Korea institute of electronic communication sciences
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v.13
no.4
/
pp.819-826
/
2018
The generalized Hamming weight is one of the important parameters of the linear code. It determines the performance of the code when the linear codes are applied to a cryptographic system. In addition, when the block code is decoded by soft decision using the lattice diagram, it becomes a measure for evaluating the state complexity required for the implementation. In particular, a bit-parallel multiplier on finite fields based on trinomials have been studied. Cellular automata(CA) has superior randomness over LFSR due to its ability to update its state simultaneously by local interaction. In this paper, we deal with the efficient synthesis of the pseudo random number generator, which is one of the important factors in the design of effective cryptosystem. We analyze the property of the characteristic polynomial of the simple 90/150 transition rule block, and propose a synthesis algorithm of the reversible 90/150 CA corresponding to the trinomials $x^2^n+x^{2^n-1}+1$($n{\geq}2$) and the 90/150 reversible CA(RCA) corresponding to the maximum weight polynomial with $2^n$ degree by using this rule block.
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