• Title/Summary/Keyword: Two Phases

Search Result 2,006, Processing Time 0.031 seconds

Development of a Fault-tolerant IoT System Based on the EVENODD Method (EVENODD 방법 기반 결함허용 사물인터넷 시스템 개발)

  • Woo, Min-Woo;Park, KeeHyun;An, Donghyeok
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
    • /
    • v.7 no.3
    • /
    • pp.263-272
    • /
    • 2017
  • The concept of Internet of Things (IoT) has been increasingly popular these days, and its areas of application have been broadened. However, if the data stored in an IoT system is damaged and cannot be recovered, our society would suffer considerable damages and chaos. Thus far, most of the studies on fault-tolerance have been focused on computer systems, and there has not been much research on fault-tolerance for IoT systems. In this study, therefore, a fault-tolerance method in IoT environments is proposed. In other words, based on the EVENODD method, one of the traditional fault-tolerance methods, a fault-tolerance storage and recovery method for the data stored in the IoT server is proposed, and the method is implemented on an oneM2M IoT system. The fault-tolerance method proposed in this paper consists of two phases - fault-tolerant data storage and recovery. In the fault-tolerant data storage phase, some F-T gateways are designated and fault-tolerant data are distributed in the F-T gateways' storage using the EVENODD method. In the fault-tolerant recovery phase, the IoT server initiates the recovery procedure after it receives fault-tolerant data from non-faulty F-T gateways. In other words, an EVENODD array is reconstructed and received data are merged to obtain the original data.

Measurement of Minimum Inhibitory Concentration of Toxic Chemicals against Pseudomonas aeruginosa and Staphylococcus aureus (유해 화학물질 처리에 의한 녹농균과 포도상구균의 성장저해최소농도 측정)

  • Jiseon An;Jingyeong Kim;Jae Seong Kim;Chang-Soo Lee
    • Clean Technology
    • /
    • v.29 no.2
    • /
    • pp.135-144
    • /
    • 2023
  • Pseudomonas aeruginosa and Staphylococcus aureus are the two most frequently encountered pathogens responsible for chronic wound infections, often coexisting in such cases. These infections exhibit heightened virulence compared to single infections, leading to unfavorable patient outcomes. The interaction among microorganisms within polymicrobial infections has been shown to exacerbate disease progression. Polymicrobial infections, prevalent in various contexts such as the respiratory tract, wounds, and diabetic foot, typically involve diverse microorganisms, with Pseudomonas aeruginosa and Staphylococcus aureus being the most commonly identified pathogens. This study aimed to compare the growth patterns of bacteria under a concentration gradient of toxic chemicals, focusing on a Gram-negative strain of Pseudomonas aeruginosa and a Gram-positive strain of Staphylococcus aureus. The minimum inhibitory concentration (MIC), which signifies the concentration at which bacterial growth is inhibited, was determined by performing broth microdilution and assessing the bacteria's growth curves. The growth curves of both Pseudomonas aeruginosa and Staphylococcus aureus were confirmed, and the exponential growth phases were applied to calculate the doubling times of bacteria. The MIC value for each toxic chemical was determined through broth microdilution. These results allowed for the identification of disparities in growth rates between Gram-positive and Gram-negative bacteria, as well as differences in resistance to individual toxic substances. We expect that this approach has a strong potential for further development towards the innovative treatment of bacteria-associated infections.

Applicability analysis of carbondioxide conversion capture materials produced by desulfurization gypsum for cement admixture (시멘트 혼합재로서 정유사 탈황석고를 활용하여 제조한 탄산화물의 적용성 분석)

  • Hye-Jin Yu;Young-Jun Lee;Sung-Kwan Seo;Yong-Sik Chu;Woo-Sung Yum
    • Journal of the Korean Crystal Growth and Crystal Technology
    • /
    • v.33 no.2
    • /
    • pp.54-60
    • /
    • 2023
  • In this study, microstructure and basic property analysis of DG (Desulfurization gypsum) and CCMs (Carbondioxide conversion capture materials) made by reacting CO2 with DG were conducted to analyze applicability as a cement admixture. The main crystalline phases of DG were CaO and CaSO4, and CCMs were CaSO4, CaCO3, Ca(OH)2 and CaSO4·H2O. As a result of particle size analysis, the difference in average particle sizes between the two materials was about 7 ㎛. No major heavy metals were detected in the CCMs, and as a result o f TGA, the CO2 decomposition of CCMs was more than twice as high as that of DG. Therefore, it was judged that CCMs could be used as a cement admixture through optimization of manufacturing conditions. As a results of measuring the strength behavior of DG and CCMs mixture ratios, the long-term strength of CCMs-mixed mortar was higher, and this is due to the filler effect of CaCO3 in CCMs.

Hybrid Structural Health Monitoring of Steel Plate-Girder Bridges using Acceleration-Impedance Features (가속도-임피던스 특성을 이용한 강판형교의 하이브리드 구조건전성 모니터링)

  • Hong, Dong-Soo;Do, Han-Sung;Na, Won-Bae;Kim, Jeong-Tae
    • KSCE Journal of Civil and Environmental Engineering Research
    • /
    • v.29 no.1A
    • /
    • pp.61-73
    • /
    • 2009
  • In this paper, hybrid health monitoring techniques using acceleration-impedance features are newly proposed to detect two damage-type in steel plate-girder bridges, which are girder's stiffness-loss and support perturbation. The hybrid techniques mainly consists of three sequential phases: 1) to alarm the occurrence of damage in global manner, 2) to classify the alarmed damage into subsystems of the structure, and 3) to estimate the classified damage in detail using methods suitable for the subsystems. In the first phase, the global occurrence of damage is alarmed by monitoring changes in acceleration features. In the second phase, the alarmed damage is classified into subsystems by recognizing patterns of impedance features. In the final phase, the location and the extent of damage are estimated by using modal strain energy-based damage index method and root mean square deviation (RMSD) method. The feasibility of the proposed hybrid technique is evaluated on a laboratory-scaled steel plate-girder bridge model for which hybrid acceleration-impedance signatures were measured for several damage scenarios. Also, the effect of temperature on the accuracy of the impedance-based damage monitoring results are experimentally examined from combined scenarios of support damage cases and temperature changes.

A Study on the Archetypes of Historical Edification of Daesoonjinrihoe (대순진리회 교화의 역사적 전형(典型)에 관한 연구)

  • Back, Kyung-un
    • Journal of the Daesoon Academy of Sciences
    • /
    • v.22
    • /
    • pp.471-507
    • /
    • 2014
  • Edification in Daesoonjinrihoe is not only a phenomenon that occurs following the differences of religious experience or spiritual development among the community members, which enables the members to share teaching and learning experiences with one another, but also an issue determined as one of the major activities of the religious order and a plan for achieving the purpose of the religious order-Podeokchenha(Wordly Propagation), Gujechansaeng (Salvation of all mankind) and Jisangcheonguk Geonseol(Building of earthly paradise). The purpose of this article is to clarify its concept and provide an example of edification, through considering the historical model for edification to help the cultivators with their work of edification. The archetype of edification of Daesoonjinrihoe was formed and gradually developed in phases by Sangje, Kang Jeungsan, the Supreme God(姜甑山, 1871-1909), Doju, Jo Jeongsan(趙鼎山, 1895-1958) and Dojeon, Park Wudang(朴牛堂, 1917-1995), by the three of whom the Religious Authority was succeeded. Sangje descended to the human world and preached to people to live by the rule of Haewon Sangsaeng(Resolution of grievances for the mutual beneficences of all life) and set an example of abolishing the old customs, living in mutual beneficences and having respect for human being. Doju, in revering the last will of Sangje, established the religious order by setting its creed, rituals and activities, which formed most contents of the archetype of edification. Dojeon set up a religious faith system by firmly establishing the Religious Authority and performed the True Law in accordance with Sangje's program of heaven to educate the cultivators to achieve the goal of self-cultivation following the last will of Doju. Through this, a perfect method to reach the state of Dotong(The Truly Unified State of Dao) is fulfilled. In this way, the archetype of edification was formed in the process of succession of Religious Authority. In conclusion, edification in Daesoonjinrihoe contributes to a 'systematic conveyance and understanding' through the historical archetype of edification, and it can be described as a concept that becomes a model to put into practice the 'True Law' of teachings given by two Sangjes for Dotong. Therefore, edification of Daesoonjinrihoe is drawing attention of its development as an important activity that realizes the ultimate value of the religious order because it solves the problems of immorality(absence of Dao), disorder and disregard of human value generated from the other side of this material civilization, with the truth of Haewon Sangsaeng, and has a function of rebuilding and leading the individuals and the society to the Truly Unified State of Dao through performing of the True Law.

The Effect of Phases of Starting Materials on the Grain Size at High Pressure: the Comparison of Grain Size in the Samples Using Glass and Nano Powder as Starting Materials (고압환경에서의 결정 크기에 원시료의 상이 미치는 영향: 비정질 시료와 나노파우더를 이용한 시료의 결정 크기 비교)

  • Eun Jeong Kim;Alessio Zandona;Takehiko Hiraga;Sanae Koizumi;Nobuyoshi Miyajima;Tomoo Katsura;Byung-Dal So
    • Korean Journal of Mineralogy and Petrology
    • /
    • v.36 no.3
    • /
    • pp.213-220
    • /
    • 2023
  • In this study, we report the effect of starting materials on the grain size in a multi-component system at high pressure experiments. We used two different starting materials, glass and nano powders, to synthesize bridgmanite in the reduced conditions in the presence of calcium-ferrite-phase MgAl2O4 to compared the grain size of synthesized samples. After synthesizing the sample at 40 GPa, 2000 K for 20 hrs, the sample from glass showed the grain size of 50-200 nm whereas the one from nano powders has ~500 nm of grains. This difference may come from 1) the temperature of 2000 K which is low enough for glass starting materials to make more crystal nucleis than to grow crystal size or 2) the possible difference in the redox state of starting materials. It is suggested that the using of nano powders is better to synthesize bigger grains in high pressure experiments with multi-component systems rather than using glass starting materials.

The Performance Evaluation of In-situ Carbonation Mortar Using Gaseous CO2 (기체 CO2를 사용한 In-situ 탄산화 모르타르 성능평가)

  • Changgun Park;Deukhyun Ryu;Seongwoo Choi;Kwangwoo Wi;Seungmin Lim
    • Journal of the Korean Recycled Construction Resources Institute
    • /
    • v.11 no.3
    • /
    • pp.226-233
    • /
    • 2023
  • In this study, two phases were conducted to investigate the direct injection of gaseous CO2 into cement mortar. The aim was to advance carbon capture, utilization, and storage (CCUS) technology by harnessing industrial waste CO2 from the domestic ready-mixed concrete industry. In the first phase, the factors influencing the physical properties of cement mortar when using gaseous CO2 were identified. This included a review of materials to achieve physical properties comparable to a reference formulation. As a result of this phase, it was confirmed that traditional approaches, such as adjusting the water-to-cement ratio, had limitations in achieving the desired physical properties. Consequently, the second phase focused on the optimization of CO2-injected mortar. This involved studying the CO2 application and mixing method for cement mortar. Changes in properties were observed when gaseous CO2 was injected into the mortar. The optimal injection quantity and time to enhance the compressive strength of mortar were determinded. As a result, this study indicated that an extra mixing time exceeding 120 seconds was necessary, compared to conventional mortar. The optimal CO2 injection rate was identified as 0.1 to 0.2 % by weight of cement, taking both flowability and compressive strength performance into account. Increasing the CO2 injection time did not further enhance strength. For this approach to be employed as a CCUS technology, additional studies are required, including a microstructural analysis evaluating the amount of immobilized CO2.

Effects of energy levels on growth performance, carcass characteristics, and fatty acid composition of Holstein steers at different slaughter ages

  • Sung Il Kim;Sungkwon Park;Hyun Soo Lee;Ji Hong Lee;Do Hyung Kim;Jeong Hwan Myung;Keun Ki Jung
    • Journal of Animal Science and Technology
    • /
    • v.65 no.6
    • /
    • pp.1214-1225
    • /
    • 2023
  • We investigated the effect of energy levels on growth performance, carcass characteristics, and fatty acid composition of Holstein steers at different slaughter ages. Forty Holstein steers with an average body weight (BW) of 234.21 ± 7.42 kg and 7.78 ± 0.22 months were randomly allocated to two experimental groups; a 22-month-old experimental group and a 24-month-old experimental group. Total digestible nutrients (TDN) for each group were set to 70% (T1) and 72% (T2) during fattening phase and 74% (T3) and 76% (T4) for the finishing phase, respectively. No difference was observed in the final BW between the experimental groups during the fattening phase. However, in the finishing phase, the final BW of T4 (820.31 kg) group was significantly higher than that of T1 (745.57 kg; p < 0.05). The average daily gain (ADG) of T2 group in the finishing phase and overall period were 1.27 kg and 1.26 kg, respectively, which were significantly higher than those of T1 (1.11 kg and 1.12 kg; p < 0.05). The feed conversion ratio (FCR) and TDN conversion ratio of T2 group in the finishing phase also decreased by 10.23% and 7.73%, respectively, compared to those of T1. The cold carcass weight of T4 group was significantly higher (p < 0.05) than that of T1, whereas back fat thickness, longissimus area, and marbling score were not significantly different among groups. No differences were observed in physicochemical characteristics of the carcass including moisture, crude protein, and crude fat content among groups. However, the composition of fatty acids differed significantly between the groups. The content of C18:0 was significantly lower (p < 0.05) in T4 than in T1 group, and the content of C18:2 was higher in T4 than in T1 and T3 (p < 0.05). Therefore, feeding Holstein steers at a high-energy feeding level during the fattening and finishing phases improves ADG and reduces the slaughter age from 24 months to 22 months.

Developing a hydrological model for evaluating the future flood risks in rural areas (농촌지역 미래 홍수 위험도 평가를 위한 수문 모델 개발)

  • Adeyi, Qudus;Ahmad, Mirza Junaid;Adelodun, Bashir;Odey, Golden;Akinsoji, Adisa Hammed;Salau, Rahmon Abiodun;Choi, Kyung Sook
    • Journal of Korea Water Resources Association
    • /
    • v.56 no.12
    • /
    • pp.955-967
    • /
    • 2023
  • Climate change is expected to amplify the future flooding risks in rural areas which could have devastating implications for the sustainability of the agricultural sector and food security in South Korea. In this study, spatially disaggregated and statistically bias-corrected outputs from three global circulation models (GCMs) archived in the Coupled Model Intercomparison Project Phases 5 and 6 (CMIP5 and 6) were used to project the future climate by 2100 under medium and extreme scenarios. A hydrological model was developed to simulate the flood phenomena at the Shindae experimental site located in the Chungcheongbuk Province, South Korea. Hourly rainfall, inundation depth, and discharge data collected during the two extreme events that occurred in 2021 and 2022 were used to calibrate and validate the hydrological model. Probability analysis of extreme rainfall data suggested a higher likelihood of intense and unprecedented extreme rainfall events, which would be particularly notable during 2051-2100. Consequently, the flooded area under an inundation depth of >700 mm increased by 13-36%, 54-74%, and 71-90% during 2015-2030, 2031-2050, and 2051-2100, respectively. Severe flooding probability was notably higher under extreme CMIP6 scenarios than under their CMIP5 counterparts.

The Optimization of Ensembles for Bankruptcy Prediction (기업부도 예측 앙상블 모형의 최적화)

  • Myoung Jong Kim;Woo Seob Yun
    • Information Systems Review
    • /
    • v.24 no.1
    • /
    • pp.39-57
    • /
    • 2022
  • This paper proposes the GMOPTBoost algorithm to improve the performance of the AdaBoost algorithm for bankruptcy prediction in which class imbalance problem is inherent. AdaBoost algorithm has the advantage of providing a robust learning opportunity for misclassified samples. However, there is a limitation in addressing class imbalance problem because the concept of arithmetic mean accuracy is embedded in AdaBoost algorithm. GMOPTBoost can optimize the geometric mean accuracy and effectively solve the category imbalance problem by applying Gaussian gradient descent. The samples are constructed according to the following two phases. First, five class imbalance datasets are constructed to verify the effect of the class imbalance problem on the performance of the prediction model and the performance improvement effect of GMOPTBoost. Second, class balanced data are constituted through data sampling techniques to verify the performance improvement effect of GMOPTBoost. The main results of 30 times of cross-validation analyzes are as follows. First, the class imbalance problem degrades the performance of ensembles. Second, GMOPTBoost contributes to performance improvements of AdaBoost ensembles trained on imbalanced datasets. Third, Data sampling techniques have a positive impact on performance improvement. Finally, GMOPTBoost contributes to significant performance improvement of AdaBoost ensembles trained on balanced datasets.