• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.27 no.6
• /
• pp.1535-1547
• /
• 2017

The purchase of information protection products accounts for the largest portion of corporate information protection activity budgets. However, there are no evaluation factors and evaluation models that should be applied to objectively compare information protection products, and therefore, product selection is difficult. Therefore, in this study, we study the inherent quality characteristics of information security products and select evaluation factors accordingly. The selected evaluation factors are analyzed and a quality determination model is given by weighting according to importance. The target is limited to the network information protection product and can be extended to all information protection products.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
• /
• 2005.11a
• /
• pp.826-829
• /
• 2005

The State of the art of low noise fan design requires the consideration of optimal sound quality. The influential design parameters of the noise level by the centrifugal fan were selected that based on a preliminary test. The centrifugal fans were designed according from the experiment plan method by specify the selected design parameters. The experiments with the machined mock-up's of centrifugal impellers revealed the major design parameters having impacts upon the indices of sound quality (e.g. loudness, sharpness, roughness and fluctuation strength) at the same performance condition. With a response surface method. the major design parameters selected were analyzed to estimate their contributions upon the sound quality of the centrifugal fan and the optimal values were drawn for the consideration of the sound quality by using each level and its regression equation. In addition, the validity of the regression equations were numerically verified by means of the coefficient of determination. Furthermore, the mechanism of how the centrifugal fans influence the determinants of sound quality was suggested.

• Journal of the Korean Society of Manufacturing Process Engineers
• /
• v.21 no.6
• /
• pp.8-14
• /
• 2022

In this study reports experiments were conducted to determine the quality of weld beads of different materials, Al and Cu. Among the lasers used to make battery cells for electric vehicles, non-destructive testing was performed using deep learning to determine the quality of beads welded with the ARM laser. Deep learning was performed using AlexNet algorithm with a convolutional neural network structure. The results of quality identification were divided into good and bad, and the result value was derived that all the results were in agreement with 94% or more. Overall, the best welding quality was obtained in the experiment for the fixed ring beam output/variable center beam output, in the case of the fixed beam (ring beam) 500W and variable beam (center beam) 1,050W; weld bead failure was seldom observed. The tensile force test to confirm the reliability of welding reported an average tensile force of 2.5kgf/mm or more in all sections.

• Journal of Multimedia Information System
• /
• v.6 no.4
• /
• pp.317-322
• /
• 2019

The purpose of this study was to develop a self-management program for patients suffering from coronary artery disease (CAD), based on the self-determination theory and subsequently perform a heuristic evaluation by professionals and a quality assessment by users. The program consisted of 6 main menus and 20 submenus. Heuristic evaluation was conducted using eight principles, and as a result, a score of 1 was assigned by a professional for five principles: consistency and mapping, good ergonomics and minimalist design, flexibility and efficiency, anesthetics, and error management. Two professionals gave the principles of ease of input, screen readability, and glanceability a score of 1. In the quality assessment by the users, the system quality category had the highest score of 4.6 out of 5, and information quality had the lowest score of 3.87 out of 5. The overall average score was 4.08, which indicated the general satisfaction regarding the quality of the application. We have reflected on all the recommendations provided by the professionals based on their heuristic evaluation and incorporated them in the program.

• Journal of Society of Preventive Korean Medicine
• /
• v.15 no.1
• /
• pp.37-47
• /
• 2011

Objectives : Previous studies have shown that Fructus mume (FM) has anti-platelet effects. The present study was performed to determine the acute oral toxicity and quality control of a crude extract of FM in ICR mice. Methods : We investigated the in vivo single dose acute toxicity of FM 95% ethanol extract. This test was orally administered once by gavage to 20 male and 20 female mice at dose levels of 0 (control group), 1250, 2500 and 5000mg/kg body weight, respectively. Mortalities, clinical findings, autopsy findings and body weight changes were monitored daily for the 14 days following the administration. HPLC analysis was performed for the simultaneous determination of ursolic acid and p-hydroxycinnamic acid in FM. Reverse-phase chromatography using a C18 column and photodiode array detection at 211 nm was used for quantification of the two maker components. The mobile phase for gradient elution consists of water and acetonitrile. Results : We observed survival rates, general toxicity, change of body weight, and autopsy. The mice did not die after single oral administration of maximum dose of FM. Autopsy of animal revealed no abnormal gross finding. Therefore, $LD_{50}$ value of FM for ICR mice was more than 5000mg/kg on oral route. The HPLC analysis showed that ursolic acid and p-hydroxycinnamic acid amounts to 9.75- and 0.12% in the extract with the retention times of 47.99- and 15.38 minutes, respectively. Conclusions : These results suggest that no toxic dose level of FM in mice is considered to be more than 5000mg/kg. Consequently, it was concluded that FM have no effect on acute toxicity and side effect in ICR mice. For the quality control of FM extract, simultaneous determination of ursolic acid and p-hydroxycinnamic acid was established.

• Korean Journal of Soil Science and Fertilizer
• /
• v.39 no.6
• /
• pp.396-402
• /
• 2006

Soil organic carbon has long been considered as the most critical factor to evaluate the soil quality, fertility, and fertilizer prescription. In addition, soil organic carbon may impact on greenhouse gas effects and global warming. Because of that, the management of soil organic carbon is increasingly important not only for improving soil quality but also for managing soil as a greenhouse gas source. Both wet and dry combustion have been used to determine soil organic carbon. Many benefits, such as automation and less labor, could the dry combustion method become more popular. Inorganic form of carbon could overestimate soil organic carbon when the dry combustion method was applied. Determination of soil inorganic carbon may contribute to the improved accuracy of soil organic carbon analysis using dry combustion method. Objectives of this research were 1) to develop soil inorganic carbon determination method using modified digital pressure calcimeter and 2) to evaluate soil organic carbon from calcareous soils using the dry and wet combustion method. Results showed that the significant linear relationship was found between soil inorganic carbon content and pressure calcimeter output. Inorganic carbon ranged from 22% to 28% of total carbon in the calcareous soil samples. Soil organic carbon content by dry combustion for calcareous soil was determined by subtracting inorganic carbon measured by the digital pressure calcimeter from total carbon. Soil organic carbon determined by dry combustion method was significantly correlated with that by wet combustion method. In conclusion, the digital pressure calcimeter may use to improve soil organic carbon determination for the calcareous soils by subtracting of soil inorganic carbon from total carbon determined by dry combustion method.

• Journal of Korean Society of Environmental Engineers
• /
• v.36 no.3
• /
• pp.178-184
• /
• 2014

In this study, monitoring method which is more economic and easier in maintenance comparing to existing monitoring system was scrutinized for application to sewer intercepting chamber of 10.2 ha basin area by estimating CSOs (Combined Sewer Overflows) quantity and quality with 2 rainfall events using electrical conductivity data and civil research model. The result showed that determination coefficient of flow estimation by EC (Electrical Conductivity) dilution ratio and observed data was over 0.86 for all cases and the accuracy of estimation was improved from 0.5 to 0.8 for determination coefficient ($R^2$) and from 54.1% to 68.5% for accumulation frequency of relative error by considering antecedent dry days and rainfall duration. CSOs water quality estimation results by civil research model showed that determination coefficients were 0.64~0.97 for BOD and 0.70~0.95 for SS.

• Food Science of Animal Resources
• /
• v.26 no.3
• /
• pp.362-367
• /
• 2006

This study was conducted to evaluate the feasibility of determination of hydroxyproline (Hyp) contents in pork meat for the quality evaluation of meat products. The relationship between the Hyp contents and pork grade was not high in porcine semitendinosus muscle. Whereas, Hyp contents of pork fresh ham and hamburger patties prepared with them were significantly increased as the decrease of pork grade. These results showed that the determination of Hyp contents might be a useful method for the quality evaluation of meat products.

• Korean Journal of Food Science and Technology
• /
• v.27 no.4
• /
• pp.520-524
• /
• 1995

ATP related compounds, ammonia, VBN, pH and sensory quality of shrimps were determined to evaluate quality changes during iced and frozen storage. ATP related compounds were determined by HPLC, ammonia by ammonia ion specific electrode, VBN by micro-diffusion method, pH by pH meter, sensory quality by multiple comparison test with 30 panelists. K value of ice stored shrimps gradually increased to 20% for 8 days, and then increased more rapidly, whereas that of frozen stored shrimps increased slowly for 7 months. Ammonia contents in ice stored shrimps increased slowly for 6 days and then rapidly after 8 days storage, whereas that in frozen stored shrimps increased slowly for 8 months. VBN contents in ice stored shrimps increased slowly for 10 days and then rapidly after 12 days. VBN contents in frozen stored shrimps slightly increased for 6 months. Sensory scores of taste and color of shrimps marked lowered values after 6 days storage in ice, and after 6 and 7 months frozen storage, respectively. Sensory flavor scores of stored shrimps had significant correlations with K value, ammonia, pH and VBN. These results indicated that ammonia contents in stored shrimps, rapidly determined by an ammonia electrode, could be used as a quality index of shrimps.

• Journal of Environmental Impact Assessment
• /
• v.20 no.5
• /
• pp.705-716
• /
• 2011

For the efficient discovery of knowledge and information from the observed systems, data mining techniques can be an useful tool for the prediction of water quality at intake station in rivers. Deterioration of water quality can be caused at intake station in dry season due to insufficient flow. This demands additional outflow from dam since some extent of deterioration can be attenuated by dam reservoir operation to control outflow considering predicted water quality. A seasonal occurrence of high ammonia nitrogen ($NH_3$-N) concentrations has hampered chemical treatment processes of a water plant in Geum river. Monthly flow allocation from upstream dam is important for downstream $NH_3$-N control. In this study, prediction models of water quality based on multiple regression (MR), artificial neural network and data mining methods were developed to understand water quality variation and to support dam operations through providing predicted $NH_3$-N concentrations at intake station. The models were calibrated with eight years of monthly data and verified with another two years of independent data. In those models, the $NH_3$-N concentration for next time step is dependent on dam outflow, river water quality such as alkalinity, temperature, and $NH_3$-N of previous time step. The model performances are compared and evaluated by error analysis and statistical characteristics like correlation and determination coefficients between the observed and the predicted water quality. It is expected that these data mining techniques can present more efficient data-driven tools in modelling stage and it is found that those models can be applied well to predict water quality in stream river systems.