• Journal of Intelligence and Information Systems
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• v.26 no.4
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• pp.127-148
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• 2020

The data center is a physical environment facility for accommodating computer systems and related components, and is an essential foundation technology for next-generation core industries such as big data, smart factories, wearables, and smart homes. In particular, with the growth of cloud computing, the proportional expansion of the data center infrastructure is inevitable. Monitoring the health of these data center facilities is a way to maintain and manage the system and prevent failure. If a failure occurs in some elements of the facility, it may affect not only the relevant equipment but also other connected equipment, and may cause enormous damage. In particular, IT facilities are irregular due to interdependence and it is difficult to know the cause. In the previous study predicting failure in data center, failure was predicted by looking at a single server as a single state without assuming that the devices were mixed. Therefore, in this study, data center failures were classified into failures occurring inside the server (Outage A) and failures occurring outside the server (Outage B), and focused on analyzing complex failures occurring within the server. Server external failures include power, cooling, user errors, etc. Since such failures can be prevented in the early stages of data center facility construction, various solutions are being developed. On the other hand, the cause of the failure occurring in the server is difficult to determine, and adequate prevention has not yet been achieved. In particular, this is the reason why server failures do not occur singularly, cause other server failures, or receive something that causes failures from other servers. In other words, while the existing studies assumed that it was a single server that did not affect the servers and analyzed the failure, in this study, the failure occurred on the assumption that it had an effect between servers. In order to define the complex failure situation in the data center, failure history data for each equipment existing in the data center was used. There are four major failures considered in this study: Network Node Down, Server Down, Windows Activation Services Down, and Database Management System Service Down. The failures that occur for each device are sorted in chronological order, and when a failure occurs in a specific equipment, if a failure occurs in a specific equipment within 5 minutes from the time of occurrence, it is defined that the failure occurs simultaneously. After configuring the sequence for the devices that have failed at the same time, 5 devices that frequently occur simultaneously within the configured sequence were selected, and the case where the selected devices failed at the same time was confirmed through visualization. Since the server resource information collected for failure analysis is in units of time series and has flow, we used Long Short-term Memory (LSTM), a deep learning algorithm that can predict the next state through the previous state. In addition, unlike a single server, the Hierarchical Attention Network deep learning model structure was used in consideration of the fact that the level of multiple failures for each server is different. This algorithm is a method of increasing the prediction accuracy by giving weight to the server as the impact on the failure increases. The study began with defining the type of failure and selecting the analysis target. In the first experiment, the same collected data was assumed as a single server state and a multiple server state, and compared and analyzed. The second experiment improved the prediction accuracy in the case of a complex server by optimizing each server threshold. In the first experiment, which assumed each of a single server and multiple servers, in the case of a single server, it was predicted that three of the five servers did not have a failure even though the actual failure occurred. However, assuming multiple servers, all five servers were predicted to have failed. As a result of the experiment, the hypothesis that there is an effect between servers is proven. As a result of this study, it was confirmed that the prediction performance was superior when the multiple servers were assumed than when the single server was assumed. In particular, applying the Hierarchical Attention Network algorithm, assuming that the effects of each server will be different, played a role in improving the analysis effect. In addition, by applying a different threshold for each server, the prediction accuracy could be improved. This study showed that failures that are difficult to determine the cause can be predicted through historical data, and a model that can predict failures occurring in servers in data centers is presented. It is expected that the occurrence of disability can be prevented in advance using the results of this study.

• Korean Journal of Ecology and Environment
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• v.34 no.1 s.93
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• pp.1-8
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• 2001

During April 1993 to November 1994, cations, anions, and conductivity were analyzed to examine how summer monsoon influences the ionic content of Taechung Reservoir, Korea. Interannual variability of ionic content reflected hydrological characteristics between the two years(high-flood year in 1993 vs. draught year in 1994). Cations, anions and conductivity were lowest during peak inflow in 1993 and highest during a drought in 1994. Floods in 1993 markedly decreased total salinity as a result of reduced Ca$^{2+}$ and HCO$_{3}\;^{-}$ and produced extreme spatial heterogeneity (i.e., longitudinal, vertical, and horizontal variation) in ionic concentrations. The dominant process modifying the longitudinal (the headwaters-to-downlake) and vertical (top-to-bottom) patterns in salinity was an interflow current during the 1993 monsoon. The interflow water plunged near a 27${\sim}$37 km-location (from the dam) of the mid-lake and passed through the 10${\sim}$30m stratum of the reservoir, resulting in an isolation of epilimnetic high conductivity water (>100 ${\mu}$S/cm) from advected river water with low conductivity (65${\sim}$75 ${\mu}$S/cm), During postmonsoon 1993, the factors regulating salinity differed spatially; salinity of downlake markedly declined as a result of dilution through the mixing of lake water with river water, whereas in the headwaters it increased due to enhanced CaCO$_{3}$ (originated from limestone/metamorphic rock) of groundwaters entering the reservoir. This result suggests an importance of the basin geology on ion compositions with hydrological characteristics. In 1994, salinity was markedly greater (p<0.001) relative to 1993 and ionic dilution did not occur during the monsoon due to reduced inflow. Overall data suggest that the primary factor influencing seasonal ionic concentrations and compositions in this system is the dilution process depending on the intensity of monsoon rainfall.

• Korean Journal of Food Science and Technology
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• v.44 no.5
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• pp.583-591
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• 2012

Four kinds of makgeolli brewed with different proportions of rice and wheat flour were prepared to investigate the effects of the carbohydrates source on the storage properties, and to examine the chemical characteristics and BA (biogenic amine) contents in makgeolli stored over 30 days at 4, 10 and $20^{\circ}C$, respectively. The chemical properties and BA contents were sustained at a consistent level for those makgeolli stored at $4^{\circ}C$ over 30 days. The alcohol content was significantly higher for makgeolli brewed with higher proportions of rice (R) over wheat flour (WF) (R 100: WF 0, R 70: WF 30) when compared with those brewed with a high proportion of wheat flour (R 30: WF 70, R 0: WF 100), and increased with increasing storage temperature and duration. The free amino acid contents of makgeolli brewed with high proportion of rice were significantly lower under the same conditions. Among the 8 BAs examined, tyramine, putrescine, cadaverine and phenylethylamine were detected, while tyramine and putrescine were mainly detected. Histamine was not detected throughout storage. Makgeolli brewed with rice as the only carbohydrate source exhibited very low levels of total BA during 30 days of storing at $20^{\circ}C$. Total BA contents of R100, R70, R30, R0 were 178.6, 682.9, 1186.7 and 1150.4 mg/L, respectively. These results suggest that makgeolli brewed with relatively higher proportions of rice have better storage properties and are safer for consumption.

• Journal of the Korean Society of Food Science and Nutrition
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• v.43 no.11
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• pp.1665-1673
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• 2014

The objective of this study was to compare the compositions and immuno-enhancing effects of 6-year-old red ginseng powder (RGP) with those of its fractions. RGP was subjected to extraction with 100% ethanol to obtain an ethanol fraction (E) and residue 1 (R1). Then, R1 was subjected to extraction with distilled water to obtain water fraction (W) and residue 2 (R2). Chemical compositions were as follows: 4.94% acidic polysaccharides and 1.56% ginsenosides (amounts of Rg1, Re, Rf, Rg2, Rb1, Rc, Rd, and Rg3) in RGP, 0.11% acidic polysaccharides and 6.99% ginsenosides in E, 4.93% acidic polysaccharides and 0.40% ginsenosides in R1, 0.50% acidic polysaccharides and 0.30% ginsenosides in R2, and 7.46% acidic polysaccharides and 0.61% ginsenosides in W. Immuno-enhancing effects of fractions from RGP were examined based on suppression of immune responses by cyclophosphamide. In the first fraction test, the antibody response to SRBCs increased significantly in the R1-treated group, but not the E-treated group. In the second fraction test, W showed higher immuno-enhancing effect than R1 and R2. W, which contained the highest amount of acidic polysaccharides, restored numbers of T and B cells, macrophages, as well as $CD4^+$ and $CD8^+$ T cells in the spleen suppressed by cyclophosphamide. These results suggest that acidic polysaccharides from red ginseng may be more effective than saponin in enhancing immune functions and reducing immunotoxicity of cyclophosphamide.

• Korean Journal of Food Science and Technology
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• v.39 no.5
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• pp.569-574
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• 2007

This study was performed to investigate the biological activities of roasted (RE) and non-roasted (NRE) hot water extract samples from Euonymus alatus leaf by measuring DPPH radical scavenging, total polyphenol content, hydroxyl radical scavenging, superoxide dismutase (SOD)-like activity, anti-inflammatory activity, and inhibitory effects on ${\alpha}-amylase$ and ${\alpha}-glucosidase$ in vitro. The $IC_{50}$ values fur DPPH free radical scavenging activity of the NRE and RE hot water extracts were $19.1{\mu}g/mL$ and $21.9{\mu}g/mL$, respectively, and their total polyphenol contents were estimated as 9.6 mg/g for NRE and 10.6 mg/g for RE. Both NRE and RE scavenged the hydroxyl radical in a concentration-dependent manner, but their activities were lower than that of BHA. It was also shown that SOD-like activity was dependent on NRE and RE concentration, and the SOD-like activity of NRE was slightly higher than that of RE. The highest SOD-like activity obtained from NRE was 20% at a concentration of 3 mg/mL. Neither NRE nor RE seemed to have an effect on ${\alpha}-amylase$ and ${\alpha}-glucosidase$ inhibition. Finally, the hot water extracts of NRE and RE significantly decreased the concentration of LPS-induced NO in RAW 264.7 cells, indicating anti-inflammatory activity.

• Journal of KIISE:Computing Practices and Letters
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• v.16 no.12
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• pp.1141-1153
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• 2010

This paper introduces ONLIS(Overlay Multicast Network for Live IPTV Service), a novel overlay multicast network optimized to deliver live broadcast IPTV stream. We analyzed IPTV reference model of ITU-T IPTV standardization group in terms of network and stream delivery from the source networks to the customer networks. Based on the analysis, we divide IPTV reference model into 3 networks; source network, core network and access network, ION(Infrastructure-based Overlay Multicast Network) is employed for the source and core networks and PON(P2P-based Overlay Multicast Network) is applied to the access networks. ION provides an efficient, reliable and stable stream distribution with very negligible delay while PON provides bandwidth efficient and cost effective streaming with a little tolerable delay. The most important challenge in live P2P streaming is to reduce end-to-end delay without sacrificing stream quality. Actually, there is always a trade-off between delay & stream quality in conventional live P2P streaming system. To solve this problem, we propose two approaches. Firstly, we propose DSPT(Distributed Streaming P2P Tree) which takes advantage of combinational overlay multicasting. In DSPT, a peer doesn't fully rely on SP(Supplying Peer) to get the live stream, but it cooperates with its local ANR(Access Network Relay) to reduce delay and improve stream quality. When RP detects bandwidth drop in SP, it immediately switches the connection from SP to ANR and continues to receive stream without any packet loss. DSPT uses distributed P2P streaming technique to let the peer share the stream to the extent of its available bandwidth. This means, if RP can't receive the whole stream from SP due to lack of SP's uploading bandwidth, then it receives only partial stream from SP and the rest from the ANR. The proposed distributed P2P streaming improves P2P networking efficiency.

• Journal of the Korea Concrete Institute
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• v.19 no.5
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• pp.613-621
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• 2007

Due to the increasing significance of durability, much researches on carbonation, one of the major deterioration phenomena are carried out. However, conventional researches based on fully hardened concrete are focused on prediction of carbonation depth and they sometimes cause errors. In contrast with steel members, behaviors in early-aged concrete such as porosity and hydrates (calcium hydroxide) are very important and may be changed under carbonation process. Because transportation of deteriorating factors is mainly dependent on porosity and saturation, it is desirable to consider these changes in behaviors in early-aged concrete under carbonation for reasonable analysis of durability in long term exposure or combined deterioration. As for porosity, unless the decrease in $CO_2$ diffusion due to change in porosity is considered, the results from the prediction is overestimated. The carbonation depth and characteristics of pore water are mainly determined by amount of calcium hydroxide, and bound chloride content in carbonated concrete is also affected. So Analysis based on test for hydration and porosity is recently carried out for evaluation of carbonation characteristics. In this study, changes in porosity and hydrate $(Ca(OH)_2)$ under carbonation process are performed through the tests. Mercury Intrusion Porosimetry (MIP) for changed porosity, Thermogravimetric Analysis (TGA) for amount of $(Ca(OH)_2)$ are carried out respectively and analysis technique for porosity and hydrates under carbonation is developed utilizing modeling for behavior in early-aged concrete such as multi component hydration heat model (MCHHM) and micro pore structure formation model (MPSFM). The results from developed technique is in reasonable agreement with experimental data, respectively and they are evaluated to be used for analysis of chloride behavior in carbonated concrete.

• Journal of the Korean earth science society
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• v.22 no.5
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• pp.360-376
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• 2001

This qualitative research investigated in-service science teachers' perceptions about cooperative learning and their perceived barriers in implementing cooperative learning in their classrooms. The underlying premise for cooperative learning is founded in constructivist epistemology. Cooperative learning (CL) is presented as an alternative frame to the current educational system which emphasizes content memorization and individual student performance through competition. An in-depth interview was conducted with 18 in-service science teachers who enrolled in the first-class teacher certification program during 2001 summer vacation. These secondary school teachers's interview data were analyzed and categorized into three areas: teachers' definition of cooperative learning, issues with implementing cooperative learning in classrooms, and teachers' and students' responses towards cooperative learning. Each of these areas are further subdivided into 10 themes: teachers' perceived meaning of cooperative learning, the importance of talk in learning, when to use cooperative learning, how to end a cooperative class, how to group students for cooperative learning, obstacles to implementing cooperative learning, students' reactions to cooperative learning, teachers' reasons for choosing (not choosing) student-centered approaches to learning/teaching, characteristics of teachers who use cooperative learning methods, and teachers' reasons for resisting cooperative learning. Detailed descriptions of the teachers' responses and discussion on each category are provided. For the development and implementation of CL in more classrooms, there should be changes and supports in the following five areas: (1) teachers have to examine their pedagogical beliefs toward constructivist perspectives, (2) teacher (re)education programs have to provide teachers with cooperative learning opportunities in methods courses, (3) students' understanding of their changed roles (4) supports in light of curriculum materials and instructional resources, (5) supports in terms of facilities and administrators. It's important to remember that cooperative learning is not a panacea for all instructional problems. It's only one way of teaching and learning, useful for specific kinds of teaching goals and especially relevant for classrooms with a wide mix of student academic skills. Suggestions for further research are also provided.

• Clinical and Experimental Pediatrics
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• v.48 no.11
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• pp.1187-1192
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• 2005

Purpose : The purpose of this study is to determine the effectiveness of intravenous immunoglobuin (IVIG) administration in fullterm neonates having clinically suspected neonatal sepsis. Methods : Forty full-term neonates admitted to the neonatal intensive care unit with clinically suspected neonatal sepsis, who had at least two positive diagnostic criteria were enrolled. Twenty neonates were enrolled into the IVIG arm and 20 in the placebo arm. Neonates with a gestational age of less than 36 weeks and those with any major congenital malformation were excluded. The neonates were randomized to receive 1 g/kg of IVIG or equivalent amount of normal saline. The treatments including antibiotics and supportive care were administered. Results : The neonates in the therapy and placebo groups were comparable in terms of birth weight, gestational age, sex distribution, duration of antibiotics therapy and admission, elevation of serum IgG level, mortality rate, change of CBC, and serum level of acute phase reactants etc. Conclusion : Serum IgG values increased significantly 5 days after administration of IVIG in the IVIG-treated group and decreased significantly 5 days after administration of normal saline in the placebo group. However, there was no significant difference in the duration of antibiotics therapy and admission, or of mortality between the IVIG-treated and placebo groups. No adverse reactions to the IVIG infusions were noted during the study. Our preliminary observations suggest that the administration of 1 g/kg IVIG to neonates had some effect on augmentation of humural immune status in neonates with clinically suspected sepsis. But further study is needed to verify the benefit of IVIG infusion to neonatal sepsis.

• Investigative Magnetic Resonance Imaging
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• v.10 no.2
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• pp.98-107
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• 2006

Magnetization Transfer (MT) imaging generates contrast dependent on the phenomenon of magnetization exchange between free water proton and restricted proton in macromolecules. In biological materials in knee, MT or cross-relaxation is commonly modeled using two spin pools identified by their different T2 relaxation times. Two models for cross-relaxation emphasize the role of proton chemical exchange between protons of water and exchangeable protons on macromolecules, as well as through dipole-dipole interaction between the water and macromolecule protons. The most essential tool in medical image manipulation is the ability to adjust the contrast and intensity. Thus, it is desirable to adjust the contrast and intensity of an image interactively in the real time. The proton density (PD) and T2-weighted SE MR images allow the depiction of knee structures and can demonstrate defects and gross morphologic changes. The PD- and T2-weighted images also show the cartilage internal pathology due to the more intermediate signal of the knee joint in these sequences. Suppression of fat extends the dynamic range of tissue contrast, removes chemical shift artifacts, and decreases motion-related ghost artifacts. Like fat saturation, phase sensitive methods are also based on the difference in precession frequencies of water and fat. In this study, phase sensitive methods look at the phase difference that is accumulated in time as a result of Larmor frequency differences rather than using this difference directly. Although how MT work was given with clinical evidence that leads to quantitative model for MT in tissues, the mathematical formalism used to describe the MT effect applies to explaining to evaluate knee disorder, such as anterior cruciate ligament (ACL) tear and meniscal tear. Calculation of the effect of the effect of the MT saturation is given in the magnetization transfer ratio (MTR) which is a quantitative measure of the relative decrease in signal intensity due to the MT pulse.