• Journal of the Korean Data and Information Science Society
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• v.28 no.1
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• pp.131-142
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• 2017

The number of hospital admissions for pneumonia tends to increase annually and even more, pneumonia, the fifth leading causes of death among elder adults, is one of top diseases in terms of hospitalization rate. Although mainly bacteria and viruses cause pneumonia, the weather is also related to the occurrence of pneumonia. The candidate weather variables are humidity, amount of sunshine, diurnal temperature range, daily mean temperatures and density of particles. Due to the delayed occurrence of pneumonia, lagged weather variables are also considered. Additionally, year effects, holiday effects and seasonal effects are considered. We select the related variables that influence the occurrence of pneumonia using penalized generalized linear models.

• Korean journal of applied entomology
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• v.32 no.4
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• pp.426-432
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• 1993

Thirteen isolates of Bacillus thunngiensls producing parasporal mclusions, obtained from 45 samples of dust and soil of sericultural tarms in Kyeong-ki province, were exammed for their toxicity against larvae of Lepidoptera, Dipwra and Coleoptera. Of these isolates, Bacillus f thuringiensis NT0423 was toxic to bath Lepidoptera, and Dipteran larvae. NT0423 showed that the $LC_{50}$ values against the Lepldaptora, Plutella macuhpennis and the Diptera, Culex pipiens were $1.30\times10^6$ CFU/ml, $2.88\times10^5$ CFU/ml, respectively. The tYPlcal bipyramldal crystals produced by NT0423 composed of protoxms of 130-140kDa encoded by one or more plasm mid-horne genes. Also, plasmid DNA analysis indicated Lhat this isolate has 9 plasmids which d differ with reported several B. thuringiensis strains.

• Journal of Preventive Medicine and Public Health
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• v.35 no.2
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• pp.92-98
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• 2002

Objective : To estimate the burden of cardiovascular disease attributable to the total suspended particulates (TSP) and sulfur dioxide ($SO_2$) in Korea using the YLD (years lived with disability) measurement. Methods : Congestive heart failure(CHF) and myocardial infarction (MI) were chosen as the main cardiovascular diseases whose causes are attributable to the TSP and $SO_2$ levels. In order to calculate the YLD (years lived with a disability), the following parameters in the formula were estimated. : the incidence rate, the case fatality rate, The expected duration of a disability and the average age of onset were estimated. The expected duration of a disability and the average age of onset were calculated using the DISMOD method, as developed by the GBD researchers. The burden of cardiovascular disease due to TSP and $SO_2$ was estimated using the number of years that the patient lived with a disability. Results : The VLD of the CHF due to the TSP and $SO_2$ was attributed to the TSP (94.4 person-year) and $SO_2$ levels (35.0 person-year). The YLD of the ME due to the TSP and $SO_2$ was attributed to the TSP (148.4 person-year) and $SO_2$ levels(27.6 person-year). Conclusion : The YLD method employed in this study was appropriate for quantifying the burden of cardiovascular disease. Therefore, it would provide a rational basis for planning a national health policy regarding the disease burden of the risk factors in Korea.

• Journal of Internet Computing and Services
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• v.24 no.2
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• pp.47-56
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• 2023

Hydrogen energy is an eco-friendly energy that produces heat and electricity with high energy efficiency and does not emit harmful substances such as greenhouse gases and fine dust. In particular, smart hydrogen energy is an economical, sustainable, and safe future smart hydrogen energy service, which means a service that stably operates based on 'data' by digitally integrating hydrogen energy infrastructure. In this paper, in order to implement a data-based hydrogen charging station demand forecasting model, three hydrogen charging stations (Chuncheon, Sokcho, Pyeongchang) installed in Gangwon-do were selected, supply and demand data of hydrogen charging stations were secured, and 7 machine learning and deep learning algorithms were used. was selected to learn a model with a total of 27 types of input data (weather data + demand for hydrogen charging stations), and the model was evaluated with root mean square error (RMSE). Through this, this paper proposes a machine learning-based hydrogen charging station energy demand prediction model for optimal hydrogen energy supply and demand.

• The Journal of the Korea Contents Association
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• v.22 no.5
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• pp.305-318
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• 2022

We focused on the care effectiveness of the interactive AI robots. developed an AI toy robot called 'Agaya' to contribute to personalization with more human-centered care. First, by applying P-TTS technology, you can maximize intimacy by autonomously selecting the voice of the person you want to hear. Second, it is possible to heal in your own way with good memory storage and bring back memory function. Third, by having five senses of the role of eyes, nose, mouth, ears, and hands, seeking better personalised services. Fourth, it attempted to develop technologies such as warm temperature maintenance, aroma, sterilization and fine dust removal, convenient charging method. These skills will expand the effective use of interactive robots by elderly people and contribute to building a positive image of the elderly who can plan the remaining old age productively and independently

• Korean journal of applied entomology
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• v.37 no.1
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• pp.73-80
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• 1998

The natural enemies of Black pine bast scale (Matsucoccus thunbergianae) were surveyed total 24species, 7families, 4orders in predatory insects and 29species 1 lfamilies in a predatory spiders. In insect, Coleoptera IOspecies, Hymenoptera 7species, Hemiptera 6species, Dermaptera 1 species were investigated. Among them high frequency and population density were Chilocorus rubidus, Harmonia axyridis of Coleoptera, Brachyponera chinensis, Vesp~ilac rabro flavofasciata of Hymonoptea, Sphedanolestes impressicollis, Velinos nodipes of Hemiptera. Anatis halonis, Anisostictu kobensis of Coleoptea and Cydnocoris russatus of Hemiptea were newly investigated. In spiders, Araneidae gspecies, Thomisidae Sspecies, Lycosidae 3species, Salticidae 3species, Pisauridae 2species, Theridiidae 2species, Tetragnathidae 2species, Oxyopidae lspecies, Gnaphosidae I species, Clubionidae I species, Atypidae 1 species were investigated. Which high frequency and concentrating predatory species were Argiope bruennichii, Araneus ventricosus, Neoscona melloteei, Neoscona scylloides of Araneidae, Lycosa suzurii, Pirata sp. of Lycosidae, Marpissu elongata of Salticidae, Dolomedes stellatus of Pisauridae, Oxyopes sertatus of Oxyopidae. Neosconu scylloides, Cvclosa laticauda of Araneidae, Synema globosum, Xysticus ephippiatus, Misumenops tricu~pidat~o~f .T~h, omisidae, Marpissa elongata, Dendryphantes atratus of Salitidae, Perenethis .fascigera of Pisauridae, Tetragnatha pinicola of Tetragnathidae, Zelotes asiaticus of Gnaphosidae.

• Korean Journal of Environmental Agriculture
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• v.37 no.4
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• pp.268-276
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• 2018

BACKGROUND: In the month of January 2018, fine dust alerts and warnings were issued 36 times for $PM_{10}$ and 81 times for PM2.5. Air quality is becoming a serious issue nation-wide. Although interest in air-purifying plants is growing due to the controversy over the risk of chemical substances of regular air-purifying solutions, industrial spread of the plants has been limited due to their efficiency in air-conditioning perspective. METHODS AND RESULTS: This study aims to propose a vegetation-based bio-filter system that can assure total indoor air volume for the efficient application of air-purifying plants. In order to evaluate the quantitative performance of the system, time-series analysis was conducted on air-conditioning performance, indoor air quality, and comfort index improvement effects in a lecture room-style laboratory with 16 persons present in the room. The system provided 4.24 ACH ventilation rate and reduced indoor temperature by $1.6^{\circ}C$ and black bulb temperature by $1.0^{\circ}C$. Relative humidity increased by 24.4% and deteriorated comfort index. However, this seemed to be offset by turbulent flow created from the operation of air blowers. While $PM_{10}$ was reduced by 39.5% to $22.11{\mu}g/m^3$, $CO_2$ increased up to 1,329ppm. It is interpreted that released $CO_2$ could not be processed because light compensation point was not reached. As for the indoor comfort index, PMV was reduced by 83.6 % and PPD was reduced by 47.0% on average, indicating that indoor space in a comfort range could be created by operating vegetation-based bio-filters. CONCLUSION: The study confirmed that the vegetation-based bio-filter system is effective in lowering indoor temperature and $PM_{10}$ and has positive effects on creating comfortable indoor space in terms of PMV and PPD.

• Journal of the Korea Organic Resources Recycling Association
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• v.28 no.4
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• pp.53-68
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• 2020

The concentrations of ammonia, hydrogen sulfide and fine dust were measured in the compost facility of a full-time Hanwoo breeding farms. The experiments were conducted in stack type composting facility(T1) and mechanical-stirred composting facilities(T2, T3). In the stack type composting facility, the highest temperature of compost pile was 46℃, and in the two mechanical-stirred composting facilities, it rose to 63℃ and 68℃, respectively. The concentrations of PM2.5 at T1, T2 were 15 ㎍/㎥ and 5~10 ㎍/㎥, respectively. And the concentration of PM2.5 at T3 was below 10 ㎍/㎥. The highest concentration of ammonia generated at T1 was 4 ppm, but no hydrogen sulfide was detected. The ammonia concentrations at T2 and T3 were 3 ppm and 4 ppm, respectively. However, hydrogen sulfide was not detected in both facilities. At T3, the ammonia concentration increased to 65 ppm at the point where the compost was stirred with a mechanical agitator. During composting period, the pH of the compost pile decreased from 9.06 to 8.94 and then increased to 9.14 as the composting period elapsed. The NaCl content of compost was 0.09% after composting process was complete. Moisture content of compost decreased from 65.9% to 62% as composting progressed. As composting proceeded, the content of volatile solids decreased from 65.6% to 64.7% and the content of TKN decreased from 1.327% to 1.095%.

• Journal of Service Research and Studies
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• v.13 no.1
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• pp.63-75
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• 2023

Due to the development of industry, interest in air pollutants has increased. Air pollutants have affected various fields such as environmental pollution and global warming. Among them, environmental diseases are one of the fields affected by air pollutants. Air pollutants can affect the human body's skin or respiratory tract due to their small molecular size. As a result, various studies on air pollutants and environmental diseases have been conducted. Asthma, part of an environmental disease, can be life-threatening if symptoms worsen and cause asthma attacks, and in the case of adult asthma, it is difficult to cure once it occurs. Factors that worsen asthma include particulate matter and air pollution. Asthma is an increasing prevalence worldwide. In this paper, we study how air pollutants correlate with the number of emergency room admissions in asthma patients and predict the number of future asthma emergency patients using highly correlated air pollutants. Air pollutants used concentrations of five pollutants: sulfur dioxide(SO₂), carbon monoxide(CO), ozone(O₃), nitrogen dioxide(NO₂), and fine dust(PM₁₀), and environmental diseases used data on the number of hospitalizations of asthma patients in the emergency room. Data on the number of emergency patients of air pollutants and asthma were used for a total of 5 years from January 1, 2013 to December 31, 2017. The model made predictions using two models, Informer and LTSF-Linear, and performance indicators of MAE, MAPE, and RMSE were used to measure the performance of the model. The results were compared by making predictions for both cases including and not including the number of emergency patients. This paper presents air pollutants that improve the model's performance in predicting the number of asthma emergency patients using Informer and LTSF-Linear models.

• Journal of Preventive Medicine and Public Health
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• v.33 no.3
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• pp.306-312
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• 2000

Background : Polycyclic aromatic hydrocarbons (PAH) are well known environmental pollutants. The measurement of PAH in ambient air is not commonly used, because it is quite difficult to perform and is unreliable. Using biomarkers of PAH can be an alternative approach to this problem. The PAH in ambient air is absorbed in particulate matter. Total suspended particulate(TSP) or particulate matter of less than $10{\mu}m$ in diameter (PM10) can be easily measured. Therefore, TSP or PM10 can be used as a surrogate measurements of ambient air PAH. Objectives : We investigated whether the urinary concentration of two biomarkers of PAH, 1-hydroxypyrene (1-OHP) and 2-naphthol, could reflect the total suspended particulate in the general population. Methods : In order to exclude the effects of occupational exposure and smoking, first grade middle school students were included in this study. Four middle schools within a one kilometer boundary of ambient air monitoring stations were selected. Total suspended particulate was regarded as the marker of airborne PAH. Diet and smoking data were collected by self administered questionnaires, and spot urine samples were collected. Urinary 1-OHP and 2-naphthol were analyzed by high performance liquid chromatography. Results : The correlation between urinary 1-OHP, 2-naphthol and passive smoking was not statistically significant. The correlation between urinary 1-OHP and TSP indices was not statistically significant. The correlations between urinary 2-naphthol and TSP of two lag days, one lag day, and zero lag days were statistically significant. The statistical significance of two lag days was the strongest (p=0.001), one lag day was the next (p=0.0275), and zero lag days was the weakest (p=0.0349). Conclusion : Our results imply that the urinary concentration of 2-naphthol can be applied as a PAH exposure marker for the general population with low PAH exposure.