• Structural Engineering and Mechanics
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• v.88 no.2
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• pp.117-128
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• 2023

On February 6, 2023, Türkiye woke up with a strong ground motion felt in a wide geography. As a result of the Kahramanmaraş, Pazarcık and Elbistan earthquakes, which took place 9 hours apart, there was great destruction and loss of life. The 2023 Kahramanmaraş earthquakes occurred on active faults known to pose a high seismic hazard, but their effects were devastating. Seismic code spectra were investigated in Hatay, Adıyaman and Kahramanmaraş where destruction is high. The study mainly focuses on the investigation of ground motion parameters of 6 February Kahramanmaraş earthquakes and the correlation between ground motion parameters. In addition, earthquakes greater than Mw 5.0 that occurred in Türkiye were compared with certain seismic parameters. As in the strong ground motion studies, seismic energy parameters such as Arias intensity, characteristic intensity, cumulative absolute velocity and specific energy density were determined, especially considering the duration content of the earthquake. Based on the study, it was concluded that the structures were overloaded far beyond their normal design levels. This, coupled with significant vertical seismic components, is a contributing factor to the collapse of many buildings in the area. In the evaluation made on Arias intensity, much more energy (approximately ten times) emerged in Kahramanmaraş earthquakes compared to other Türkiye earthquakes. No good correlation was found between moment magnitude and peak ground accelerations, peak ground velocities, Arias intensities and ground motion durations in Türkiye earthquakes. Both high seismic components and long ground motion durations caused intense energy to be transferred to the structures. No strong correlation was found between ground motion durations and other seismic parameters. There is a strong positive correlation between PGA and seismic energy parameter AI. Kahramanmaraş earthquakes revealed that changes should be made in the Turkish seismic code to predict higher spectral acceleration values, especially in earthquake-prone regions in Türkiye.

• Korean Journal of Food Science and Technology
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• v.24 no.2
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• pp.142-148
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• 1992

Certain parts of 95 species of edible and medical plants were extracted with water and 75% of ethyl alcohol. After addition of those extracts to palm oil, lard and soybean oil at different level, their antioxidative activities were compared by Rancimat test. Six species among them seemed to have rather strong antioxidative activity and high extracting yields(i.e. Taraxacum platycarpum, Plantago asiatica, Rhus javanica L., Lycopus lucidus, Astragalus membranaceus, Taraxacum platycarpumH). Among them, the Rhus javanica L. ethanol extract retarded greatly the induction period of palm oil and lard. When 600 ppm of Rhus javanica L. extract were added to palm oil and lard, AI(antioxidant index was expressed as induction period of oil containing various plant extracts/induction period of control oil) of each was 1.35 and 3.03 respectively. This result indicated that the Rhus javanica L. extract was more effective on lard than the other oils.

• Proceedings of the Korean Society of Propulsion Engineers Conference
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• 2008.03a
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• pp.16-21
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• 2008

Aero-engine, as one kind of rotating machinery with complex structure and high rotating speed, has complicated vibration faults. Therefore, condition monitoring and fault diagnosis system is very important for airplane security. In this paper, a vibration data acquisition and intelligent fault diagnosis system is introduced. First, the vibration data acquisition part is described in detail. This part consists of hardware acquisition modules and software analysis modules which can realize real-time data acquisition and analysis, off-line data analysis, trend analysis, fault simulation and graphical result display. The acquisition vibration data are prepared for the following intelligent fault diagnosis. Secondly, two advanced artificial intelligent(AI) methods, mapping-based and rule-based, are discussed. One is artificial neural network(ANN) which is an ideal tool for aero-engine fault diagnosis and has strong ability to learn complex nonlinear functions. The other is data mining, another AI method, has advantages of discovering knowledge from massive data and automatically extracting diagnostic rules. Thirdly, lots of historical data are used for training the ANN and extracting rules by data mining. Then, real-time data are input into the trained ANN for mapping-based fault diagnosis. At the same time, extracted rules are revised by expert experience and used for rule-based fault diagnosis. From the results of the experiments, the conclusion is obvious that both the two AI methods are effective on aero-engine vibration fault diagnosis, while each of them has its individual quality. The whole system can be developed in local vibration monitoring and real-time fault diagnosis for aero-engine.

• Journal of IKEEE
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• v.24 no.1
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• pp.302-310
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• 2020

In this paper, we have implemented the living waste analysis system based on IoT and AI(Artificial Intelligence), and proposed effective waste process and management method. The Jeju location have the strong point to devise a stratagem and estimate waste quantization, rather than others. Especially, we can recognized the amount variation of waste to the residence people compare to the sightseer number, and the good example a specific waste duty. Thus this paper have developed the IoT device for interconnecting the existed CCTV camera, and use the AI algorithm to analysis the waste image. By using these decision of image analysis, we can inform their deal commend and a decided information to the map of the waste cars. In order to evaluate the performance of IoT, we have experimented the electromagnetic compatibility under a national official authorization KN-32, KN61000-4-2~6, and obtained the stable experimental results. In the further experimental results, we can applicable for an data structure for precise definition command by using the simulated several waste image with artificial intelligence algorithm.

• Korean Journal of Food Science and Technology
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• v.31 no.3
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• pp.855-863
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• 1999

To develop new natural antioxidants, antioxidative activity of ethanol (75%) extracts from 50 edible or medicinal plants were examined on lard and palm oil by Rancimat method ($120^{\circ}C$, 20 L/hr). The extracts from Rhus verviciflua STOKES showed comparatively strong antioxidative activity on test. Of the solvents used for extraction, chloroform extract exhibited the strongest antioxidant activity. AI (antioxidant index: induction period of oil containing extract/induction period of control oil) of chloroform extract was higher than that of commercial antioxidant, such as BHT, BHA and ${\delta}-tocopherol$. Free phenolic acid fraction (200 ppm) of the chloroform extract from 75% EtOH extract of Rhus verniciflua STOKES (RCF) showed stronger activity than that of BHT, BHA, and ${\delta}-tocopherol$ at the same concentration. RCF-11 and RCF-13 fractions separated by silicagel column chromatography from the RCF showed stronger activity than other fractions by the Rancimat method.

• The Korean Journal of Pesticide Science
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• v.6 no.3
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• pp.183-192
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• 2002

Herbicidal effect of KSC-35089, a newly synthesized N-arylphthalimide compound, was examined, and its interaction with quizalofop-P-ethyl when foliar applied as a tank-mixture was evaluated under a greenhouse condition. KSC-35089 showed stronger herbicidal activity on broadleaves than grasses, suggesting that it would be an appropriate partner for non-selective weed control with quizalofop-P-ethyl, a strong grasskilling ageant. In general, the interaction between KSC-35089 and quizalofop-P-ethyl appeared to be additive, which indicates each compound acts on whole plant level independently. This additive interaction was confirmed in a spectrum test using 19 grasses and 26 broadleaves. Under the greenhouse condition, all tested plants were controlled around 90% level through a foliar application with a tank-mixture of KSC-35089 at 64 g ai/ha and quizalofop-P-ethyl at 32 g ai/ha. Further study would be required on the action mechanism of this additive interaction.

• Imaging Science in Dentistry
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• v.53 no.3
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• pp.193-198
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• 2023

Purpose: Artificial intelligence (AI) is poised to play a major role in medical diagnostics. Periodontal disease is one of the most common oral diseases. The early diagnosis of periodontal disease is essential for effective treatment and a favorable prognosis. This study aimed to assess the effectiveness of AI in diagnosing periodontal bone loss through radiographic analysis. Materials and Methods: A literature search involving 5 databases (PubMed, ScienceDirect, Scopus, Health and Medical Collection, Dentistry and Oral Sciences) was carried out. A specific combination of keywords was used to obtain the articles. The PRISMA guidelines were used to filter eligible articles. The study design, sample size, type of AI software, and the results of each eligible study were analyzed. The CASP diagnostic study checklist was used to evaluate the evidence strength score. Results: Seven articles were eligible for review according to the PRISMA guidelines. Out of the 7 eligible studies, 4 had strong CASP evidence strength scores (7-8/9). The remaining studies had intermediate CASP evidence strength scores (3.5-6.5/9). The highest area under the curve among the reported studies was 94%, the highest F1 score was 91%, and the highest specificity and sensitivity were 98.1% and 94%, respectively. Conclusion: AI-based detection of periodontal bone loss using radiographs is an efficient method. However, more clinical studies need to be conducted before this method is introduced into routine dental practice.

• YAKHAK HOEJI
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• v.54 no.6
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• pp.474-480
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• 2010

Conformationally locked nucleosides are important in searching selective agonists and antagonists for P2Y receptors. There were two previous synthetic works of the crucial intermediate, cyclopentenyl alcohol (3), which had some inefficiency like using too strong dianionic base and synthesis of racemate. Here we describes a facile synthesis of the intermediate using Sharpless epoxidation and the opening of epoxide ring using zinc, followed by Grubb's metathesis as key steps. The intermediate was converted to the southern bicyclo[3.2.0]heptane for confirming its usefulness.

• Journal of Physiology & Pathology in Korean Medicine
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• v.17 no.5
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• pp.1330-1334
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• 2003

Astragali Radix(AR), one of the strong tonic herbs, is known to improve immunological responses in mice and human. In this study, AR's ai-reinforcing effect was examined in the context of CD4/sup +/ T cells' TCR/CD3 induced activation responses. In order to evaluate the direct effect of AR on helper T cells, CD4/sup +/ T cells are isolated using magnetic bead and their proliferation and CD69 expression in AR treated medium were assessed with anti-CD3/anti-CD28 activation for 48h. CD4 T cells' proliferation was slightly increased but there was little effect on CD69 expression. RT PCR and ELISA equally demonstrated that IL-2 and IL-4 production was increased but IFN-ν was down-regulated. This shows AR ethanol extract favors Th2 cytokine profile under neutral conditions.

• Journal of the Korean Society for Heat Treatment
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• v.24 no.3
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• pp.144-148
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• 2011

Change in damping capacity with strain amplitude was studied in Mg-Al-Si alloy in as-cast, solution-treated and aged states, respectively. The as-cast microstructure of the alloy is characterized by eutectic ${\beta}$($Mg_{17}Al_{12}$) phase and Chinese script type $Mg_2Si$ particles. The solution treatment dissolved the ${\beta}$ phase into the matrix, while the aging treatment resulted in the distribution of continuous and discontinuous type ${\beta}$ precipitates. The solution-treated microstructure showed better damping capacity than as-cast and aged microstructures both in strain-dependent and strain-independent damping regions. The decrease in second-phase particles which weakens the strong pinning points on dislocations and distribution of solute atoms in the matrix, would be responsible for the enhanced damping capacity after solution treatment.