• Journal of Industrial Convergence
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• v.21 no.7
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• pp.19-27
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• 2023

As the secondary battery market expands, the process of producing laterite ore using the rotary kiln and electric furnace method is expanding worldwide. As ESG management expands, the management of air pollutants such as nitrogen oxides in exhaust gases is strengthened. The rotary kiln, one of the main facilities of the pyrometallurgy process, is a facility for drying and preliminary reduction of ore, and it generate nitrogen oxides, thus prediction of nitrogen oxide is important. In this study, LSTM for regression prediction and LightGBM for classification prediction were used to predict and then model optimization was performed using AutoML. When applying LSTM, the predicted value after 5 minutes was 0.86, MAE 5.13ppm, and after 40 minutes, the predicted value was 0.38 and MAE 10.84ppm. As a result of applying LightGBM for classification prediction, the test accuracy rose from 0.75 after 5 minutes to 0.61 after 40 minutes, to a level that can be used for actual operation, and as a result of model optimization through AutoML, the accuracy of the prediction after 5 minutes improved from 0.75 to 0.80 and from 0.61 to 0.70. Through this study, nitrogen oxide prediction values can be applied to actual operations to contribute to compliance with air pollutant emission regulations and ESG management.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.28 no.6C
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• pp.570-579
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• 2003

The performance of turbo codes is investigated in the direct detection optical PPM channel. We assume that an ideal photon counter is used as an optical detector and that the channel has background noise as well as quantum noise. Resulting channel model is M-ary PPM Poisson channel. We propose the structure of the transmitter and receiver for applying turbo codes to this channel. We also derive turbo decoding algorithm for the proposed coding system, by modifying the calculation of the branch metric inherent in the original turbo decoding algorithm developed for the AWGN channel. Analytical bounds are derived and computer simulation is performed to analyze the performance of the proposed coding scheme, and the results are compared with the performances of Reed-Solomon codes and convolutional codes.

• Journal of the Korean Applied Science and Technology
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• v.40 no.3
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• pp.570-578
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• 2023

Experiments on zebrafish embryo toxicity and whitening efficacy, which is an alternative experimental animal model, were conducted using coffee by-products. As a result of the embryo toxicity test treated with the coffee residue extract, the coagulation rate was 3, 3, and 5% at 24, 48, and 72 hpf and concentration of 125 ppm, respectively. The hatching rate of embryos was 73% at the highest concentration of 125 ppm. In the heart beat rate experiment of zebrafish larva, the heart beat rate after 72 hpf was confirmed to be 153 times/60 s' at a concentration of 125 ppm. The negative control group showed no significant change in heart rate compared to the control group at 148 times/60s', and showed low toxicity. In addition, as a result of evaluating the whitening effect in zebrafish, melanin formation was inhibited as the concentration of the coffee residue extract increased. The results of this study suggest the possibility that naturally derived by-product materials can be used as raw materials for cosmetics, and are expected to be used in the cosmetics industry as an example of research that increases the added value of natural product residue.

• Journal of Animal Science and Technology
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• v.48 no.1
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• pp.123-130
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• 2006

Principal aim of this study is to suggest the statistical equation model which can predict an amount of ammonia emission according to the degree of compost maturity during composting livestock manure. Composting process was classified with intial, midterm and final phase based on germination index of compost samples. Total Kjeldahl nitrogen(TKN) and organic matter(OM) were selected as the independent variables available to contribute to ammonia emission from composting pile. Ammonia concentration measured in the samples taken at the intial phase was about 10ppm, sharply increased to 50ppm at the midterm phase, and gradually decreased to about 10ppm. The contents of Total Kjeldahl nitrogen and organic matter through whole composting period were ranged from 0.6 to 1.2% and from 30 to 40%, respectively, were reduced slightly at the midterm phase, but generally showed no constant fluctuation pattern. In estimating ammonia emission with application of the statistical equation model, the coefficients of independent variables at the midterm phase when an average concentration of ammonia was highest showed a relatively high values whereas those at the initial phase when an that of ammonia was lowest indicated a relatively low values. However, no statistical significance was found in the coefficients of independent variables and the equation model. Additionally, the further research, which can include the considerable analysis data with more samples taken than this study, is needed in order to suggest the statistically significant equation model available to predict ammonia emission during composting process.

• Journal of the Korean Society of Food Science and Nutrition
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• v.34 no.1
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• pp.99-106
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• 2005

Skin is continously exposed to ultraviolet (UV) radiation, the major cause of skin disorders including skin aging. Chlorophylls were well known as photosensitizer initiating subsequent chemical reactions such as photooxidative deterioration of cellular structures. This experiment was designed to elucidate the effects of $\beta$-carotene and ascorbic acid with chlorophylls on UVB-induced photooxidation in linoleic acid emulsion model system and skin homogenate of ICR mouse. In linoleic acid emulsion model system, the addition of chlorophyll and $\beta$-carotene accelerated the photooxidation, while high concentration of ascorbic acid prevented. The combination of chlorophylls, $\beta$-carotene and ascorbic acid, which concentrations are simplified from mustard leaf kimchi, prevented UVB-induced photooxidation. Although single treatment of $\beta$-caretene accelerated photooxidaiton, $\beta$-caretene acted as antioxidant in the combination with ascorbic acid. Similarly the addition of individual chlorophylls and $\beta$-carotene accelerated the UVB-induced photooxidation in skin homogenate of ICR mouse. 50 ppm of ascorbic acid did not show the any preventive effect, however 500 ppm of ascorbic acid effectively prevented the oxidation. Photooxidation was prevented in the combination of chlorophylls and $\beta$-carotene with 500 ppm of ascorbic acid and concentration rate of ascorbic acid plays an important role in the prevention of UVB-induced photooxidation.

• Journal of the Mineralogical Society of Korea
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• v.20 no.4
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• pp.313-325
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• 2007

In order to have better insights into adsorption of organic molecules on kaolinite surfaces, we performed quantum chemical calculations of interaction between three different model clusters of kaolinite siloxane surfaces and benzyl alcohol, with emphasis on the effect of size and lattice topology of the cluster on the variation of electron density and magnetic shielding tensor. Model cluster 1 is an ideal silicate tetrahedral surface that consists of 7 hexagonal rings, and model cluster 2 is composed of 7 ditrigonal siloxane rings with crystallographically distinct basal oxygen atoms in the cluster, and finally model cluster 3 has both tetrahedral and octahedral layers. The Mulliken charge analysis shows that siloxane surface of model cluster 3 undergoes the largest electron density transfer after the benzyl alcohol adsorption and that of model cluster 1 is apparently larger than that of model cluster 2. The difference of Mulliken charges of basal oxygen atoms before and after the adsorption is positively correlated with hydrogen bond strength. NMR chemical shielding tensor calculation of clusters without benryl alcohol shows that three different basal oxygen atoms (O3, O4, and O5) in model cluster 2 have the isotropic magnetic shielding tensor as $228.2{\pm}3.9,\;228.9{\pm}3.4,\;and\;222.3{\pm}3.0ppm$, respectively. After the adsorption, the difference of isotropic chemical shift varies from 1 to 5.5 ppm fer model cluster 1 and 2 while model cluster 2 apparently shows larger changes in isotropic chemical shift. The chemical shift of oxygen atoms is also positively correlated with electron density transfer. The current results show that the adsorption of benzyl alcohol on the kaolinite siloxane surfaces can largely be dominated by a weak hydrogen bonding and electrostatic force (charge-charge interaction) and demonstrate the importance of the cluster site and the lattice topology of surfaces on the adsorption behavior of the organic molecules on clay surfaces.

• Polymer(Korea)
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• v.33 no.1
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• pp.72-78
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• 2009

In this study, the behaviour of $SO_2$ and $NO_2$ adsorption on aminated ultrafine fibrous PP-g-AAc ion exchanger was investigated, The amount of adsorbed $SO_2$ increased with increasing the initial concentration of $SO_2$. The adsorption breakthrough time in the low concentration of $SO_2$ was faster than high concentration. The adsorption breakthrough occurred within 60 min. Approximately 80% of $SO_2$ was adsorbed below 100 ppm $SO_2$ and 90% of $SO_2$ over 100 ppm $SO_2$ respectively. The selective adsorption rate for $NO_2$ was lower than that of $SO_2$. The adsorption rate for $SO_2$ was decreased with increasing flow rate and that of $NO_2$ was 60%. The breakthrough occurred within 60 min. The adsorption rate for $SO_2$ was 92% in the 250 mL/g water content. Isotherm adsorption model for $SO_2$ was close to the Langmuir rather than Freundlich model.

• The Journal of Information Systems
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• v.30 no.3
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• pp.65-91
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• 2021

Purpose In this study, we investigated the impact of perceived risk and switching costs on switching intention to cloud service based on PPM (Pull-Push-Mooring) model. Design/methodology/approach We focused on revealing the switching factors of the switching intention to the cloud services. The switching factors to the cloud services were defined as perceived risk consisting of performance risk, economic risk, and security risk, and switching costs consisting of financial and learning costs. On the PPM model, we defined the pull factors consisting of perceived usefulness and perceived ease of use, and the push factor as satisfaction of the legacy system, and the mooring factor as policy supports. Findings The results of this study as follows; (1) Among the perceived risk factors, performance risk has a negative effect on the ease of use of pull factors, and finally it was found to affect the switching intention to the cloud services. Therefore, cloud service providers need to improve trust in cloud services, service timeliness, and linkage to the legacy systems. And it was found that economic risk and security risk among the perceived risk factors did not affect the switching intention to the cloud services. (2) Of the perceived risk factors, financial cost and learning cost did not affect the satisfaction of the legacy system, which is a push factor. It indicates that the respondents are positively considering switching to cloud service in the future, despite the fact that the respondents are satisfied with the use of the legacy system and are aware of the switching cost to cloud service. (3) Policy support was found to improve the switching intention to cloud services by alleviating the financial and learning costs required for cloud service switching.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.10 no.3
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• pp.179-184
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• 2010

In this paper, we analyze and simulate the performance of RAKE receiver for ultra wide band (UWB) systems in indoor multipath radio channel. Pulse position modulation-time hopping (PPM-TH) signal is considered. And we also consider three types of RAKE receivers, which are ideal RAKE, selective RAKE, and partial RAKE receivers. The indoor channel is modeled as the modified Saleh and Valenzuela (SV) model which has been proposed as a UWB channel model by the IEEE group, IEEE 802.15.SG3a.

• Proceedings of the Korea Institute of Fire Science and Engineering Conference
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• 2009.04a
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• pp.346-351
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• 2009

본 연구에서는 화재시 많은 인명피해가 예상되는 공동 주택을 대상으로 단위공간별 화재 성상을 예측하기 위한 실물화재실험을 실시하였다. 구성된 실물화재모델은 비교적 가연물량이 많은 침실과 화재 발생 위험도가 높은 주방을 대상으로 하였으며, 실험 모델에 구성된 단위품목은 일반주택의 가연물을 선조사 한 후 선정하였다. 실험결과 침실의 경우 점화 후 약 5분이 경과되었을 때 플래쉬오버 상태에 이르게 되어 매우 급격한 성장을 보였으며, 최대 열방출율 약 7433.3 kW, 최대 일산화탄소 578.6 ppm, 최대 이산화탄소 1.25ppm, 내부 최대온도 1350$^{\circ}$로 측정 되었다. 특히, 화재 발생 초기에 가연 공간에서 화재의 진화가 이루어지지 않으면 약 3분 내에 인체에 급격한 피해를 줄 수 있는 한계온도 이상으로 화재가 성장하기 때문에 신속한 초기 대응이 필요함을 확인하였다. 이러한 실물화 재실험에서 얻어낸 결과는 향후 화재확대 예측 시뮬레이션 결과와 비교함으로써 각 용도별 공간에서의 화재 확산 예측에 적용 될 수 있을 것이다.