PURPOSES : The purpose of this study is to analyze the impact of the level of the light-environment and the driver's visual ability on the change in the driver's perception of a forward curved section at night. The study also aims to identify factors that should be considered to ensure safety while entering curved sections of a road at night. METHODS : Data collected from a virtual driving experiment, conducted by the Korean Institute of Construction Technology (2017), were used. Logistic regression was applied to analyze the effects of changes in the light-environment factors (road surface luminance and glare) and the driver’s visual ability on a driver's perception of the road. Additionally, analysis of the moderated effect of visual ability on light-environment factors indicated that the difference in drivers’ visual abilities impact the influence of light-environment factors on their perception. A driver's ability to perceive, as a response variable, was categorized into 'failure' and 'success' by comparing the perceived distance and minimum reaction sight distance. Covariates were also defined. Road surface luminance levels were categorized into 'unlit road surface luminance' (luminance ≤ 0.1 nt) and 'lit road surface luminance' (luminance > 0.1 nt), based on 0.1 nt, which is the typical level observed on unlit roads. The glare level was categorized as 'with glare' and 'without glare' based on whether the glare was from a high-beam caused by an oncoming vehicle or not. The driver's visual ability level was categorized into 'low visual ability' (age ≥ 50) and 'high visual ability' (age ≤ 49), considering that after the age of 50, the drive’s visual ability sharply declines. RESULTS : The level of road surface luminance, glare, and driver's visual ability were analyzed to be significant factors that impact the driver's ability to perceive curved road sections at night. A driver's perception was found to reduce when the road surface luminance is very low, owing to the lack of road lighting ('unlit road luminance'), when glare is caused by oncoming vehicles ('with glare'), and if the driver's visual ability level is low owing to an older age ('low visual ability'). The driver's ability to perceive a curved section is most affected by the road surface luminance level. The effect is reduced in the order of glare occurrence and the driver's visual ability level. The visual ability was analyzed as a factor that impacts the intensity of the effect of change of the light-environment on the change of the driver's ability to perceive the road. The ability to perceive a curved section deteriorates significantly in 'low visual ability' drivers, aged 50 and above, compared to drivers with 'high visual ability,' under the age of 49, when the light-environment conditions are adverse with regard to the driver’s perception (road surface luminance: 'lit road surface luminance'→'unlit road surface luminance,' glare: 'without glare'→'with glare'). CONCLUSIONS : Supplementation, in terms of road lighting standards that can lead to improvements in the level of light-environment, should be considered first, rather than the implementation of restrictions on the right of movement, such as restricting the passage of low visual ability or aging drivers who are disadvantageous in terms of gaining good perception of the road at night. When establishing alternatives so that safety on roads at night is improved, it is necessary to consider improving drivers' perception by expanding road lighting installation. The road lighting criteria should be modified such that the glare caused by oncoming traffic, which is an influential factor in the linear change in perception, and the level of light-environment thereof are improved.

PURPOSES : This study analyzes the characteristics of generated fine particulate matter (PM2.5) and nitrogen oxide (NOX) at roadsides using a statistical method, namely, a generalized linear model (GLM). The study also investigates the applicability and capability of a machine learning methods such as a generalized regression neural network (GRNN) for predicting PM2.5 and NOX generations. METHODS : To analyze the characteristics of PM2.5 and NOX generations at roadsides, data acquisition was conducted in a specific segment of roads, and PM2.5 and NOX prediction models were estimated using GLM. In addition, to investigate the applicability and capability of a machine learning methods, PM2.5 and NOX prediction models were estimated using a GRNN and were compared with models employing previously estimated GLMs using r-square, mean absolute deviation (MAD), mean absolute percentage error (MAPE), and root mean square error (RMSE) as parameters. RESULTS : Results revealed that relative humidity, wind speed, and traffic volume were significant for both PM2.5 and NOX prediction models based on estimated models from a GLM. In addition, to compare the applicability and capability of the GLM and GRNN models (i.e., PM2.5 and NOX prediction models), the GRNN model of PM2.5 and NOX prediction was found to yield better statistical significance for r-square, MAD, MAPE, and RMSE as compared with the same parameters used in the GLM. CONCLUSIONS : Analytical results indicated that a higher relative humidity and traffic volume could lead to higher PM2.5 and NOX concentrations. By contrast, lower wind speed could affect higher PM2.5 and NOX concentrations at roadsides. In addition, based on a comparison of two statistical methods (i.e., GLM and GRNN models used to estimate PM2.5 and NOX), GRNN model yielded better statistical significance as compared with GLM.

본 연구는 최근 소비가 크게 증가하고 있는 가정간편식의 원료에 대한 모니터링을 수행하였다. 다양한 유형의 가정간편식 제품을 구입하여 112개 원료의 DNA 바코드를 분석하였다. 원재료의 종을 동정하기 위하여 DNA 바코드 증폭에 주로 이용되는 미토콘드리아의 16S ribosomal RNA 유전자 부위를 증폭하는 프라이머 세트를 이용하였다. PCR 산물은 정제하여 염기서열을 분석한 후, 이를 이용하여 미국국립보건원에서 제공하는 BLAST search를 수행하였다. GenBank에 등록되어 있는 종의 염기서열과 유사도(Identity) 와 매치 점수(Match score)를 비교하여 원료의 종을 판별 하였다. 112개의 원료에서 24개의 종(Species)과 3개의 속(Genus)를 동정하였다. 3개의 속은 Identity의 기준이 되는 98% 이내에 해당하는 종이 다수 존재하여 속 수준에서 판별하였다. 판별 결과를「식품의 기준 및 규격(제2019-57 호)」중 ‘(별표 1) 사용할 수 있는 원료 목록’에서 제시하는 사용 가능한 원료와 비교하여 국명 및 섭취 가능 여부를 판단하였으며, 등재되어 있지 않은 6개 종은 국제적으로 공인된 기구에서 어획량에 대한 정보를 확인하고, 식용 근거, 학명·이명 등을 확인하여 식용 가능 여부를 판단 하였다.

본 연구에서는 간벌 이후 지표 절지동물 군집의 장기적인 변화를 확인하기 위해, 잣나무조림지에서 간벌 전후에 조사되었던 과거 지표 절지동물 군집 자료와 간벌처리 10년 후인 2018년에 채집한 군집 자료를 비교하였다. 조사지역에서는 간벌 이후 10년이 지났으나 여전히 간벌처리에 따른 서식 환경 (유기물 깊이, 지표면 식생 피도, 울폐도)의 차이가 나타났다. 2018년 조사된 절지동물 군집은 곤충강 파리목, 벌목, 딱정벌레목, 톡토기강 톡토기목, 거미강 거미목 순으로 우점하였고, 간벌처리 조건 중 강도간벌에서는 거미강 거미목, 곤충강 딱정벌레목과 벌목이, 약도간벌에 서 톡토기강 톡토기목과 곤충강 파리목이 가장 많이 나타났다. 간벌 직후인 2008년에 비해 2018년 곤충강 딱정벌레목과 파리목, 벌목, 갑각강 등각목의 개체수는 감소하였고, 곤충강 노린재목과 메뚜기목의 개체수는 증가하였다. 2018년의 지표 절지동물 군집은 간벌 이전인 2006년 군집에 비해, 간벌 직후인 2008년 군집과 유사한 것으로 나타났다. 본 연구는 지표 절지동물 군집의 변화를 조사지역 및 간벌처리 조건에 따라 나타내어, 차후 산림 내 간벌 계획 작성 또는 간벌을 이용한 산림 자원 관리에 대한 기초 자료를 제공한다. 이후로 다양한 간벌처리지 내 조사 등이 수반된 추가 연구가 수행된다면, 간벌로 인한 산림 절지동물 군집 변화를 더욱 명확하게 규명할 수 있을 것이다.

This study was conducted to analyze the characteristics of odorous components that have been generated from the downtown sewer system based on twenty-three survey items for complex odor and designated offensive odor. As a result of the research, the contribution rates for the causative materials of the odor indicated 73.5% of hydrogen sulfide, 26.0% of methyl mercaptan, 0.4% of dimethyl sulfide, and 0.1% of dimethyl disulfide. The occurrence for the odorous materials according to sampling site revealed data of which contribution rates showed 56.9% of hydrogen sulfide and 36.8% of methyl mercaptan from the combined sewer system in the business district; whereas the combined sewer system in the residential area showed 16.4% of dimethyl sulfide and 4.3% of dimethyl disulfide. The seasonal occurrence rate of the odor materials was observed higher in summer and lower in winter And, the combined sewer system in the business district recorded the highest concentration of 4.61 ppm of hydrogen sulfide among the sampling site. An hourly occurrence rate for the odor materials consistently showed the greatest increase between 11:00 and 14:00 at each location and showed a decreasing tendency afterward.

The purpose of this study was to evaluate winter annual forage crops for yield, and horse palatability under horse grazing during the fall and spring in Jeju. The winter annual forage crops such as Italian ryegrass(IRG), rye, and oat were planted in randomized block design in October 30. The horse grazing was initiated on March 17 of the following year. At the first cutting, the dry matter yield of rye was the highest with 4,600 kg/ha compared to the IRG and oat (p<0.05). But there were no significantly different in the yield of winter annual forage crops after the second and third harvests. The total dry matter yield showed rye 12,593 kg/ha, IRG 10,941 kg/ha, and oat 9,424 kg/ha respectively. The horse intake duration of the IRG was significantly higher than the oat and rye (p<0.05). In the first grazing and the second grazing, the intake duration of the IRG was 853.2 seconds and 989.4 seconds, respectively, with oat at 147.6 seconds, and 73.0 seconds, and rye at 89.4 seconds, and 33.18 seconds. The intake duration of IRG was longer than that of oat and rye (p<0.05). The intake rate of the IRG was 60.0% in the first and 82.8% in the second, and the average intake rate was 71.4%. When considering the maintenance of pastures and the palatability of horses, the IRG is the most suitable forage crop in winter annual forage crops in Jeju.

PURPOSES : This study evaluated the effects of dynamic road marking (DRM) on the reduction in drivers’ workload under rainy conditions. Changes in workload in two cases were evaluated: only-lane marking and a combination of lane marking and DRM. METHODS : Rainy conditions were simulated by utilizing the full-scale road weather proving ground. Moreover, participants’ eye movements were used as the indicators for workload. RESULTS : Workload in case of the combination of lane marking and DRM was found to decrease by 44.6% compared to the case of onlylane marking, under the rain intensity of 15 mm/h. Moreover, workload decreased by 50.7% in case of the combination of lane marking and DRM compared to the only-lane marking case, under 30 mm/h rain intensity. CONCLUSIONS : This study validated the positive effects of the DRM in workload reduction under rainy conditions.

Recently, home workout has attracted attention as it can be done easily and conveniently at home. Accordingly, many types of home workout equipment are produced but, these kinds of exercise equipment using dumbbells or weights are too heavy to use for at-home-workout and they are too bulky in size. This paper studies a form of exercise done at home which is using a motor instead of dumbbells and weights that are originally used in the exercise equipment. DAFUL, a multi-body dynamics analysis program, is used to verify the dynamic performance of the proposed equipment. Therefore, motor-based exercise equipment is expected to be smaller than existing exercise equipment and more suitable for use at home.

We investigated the physicochemical properties of brown rice by cultivar to select cultivar suitable for making brown rice porridge. The moisture content of the brown rice ranged from 8.79~11.78% with the highest varieties being ‘Geonyangmi’. The crude ash and crude lipid content ranged from 1.02~1.65% and 1.65~3.26%, while the rest were similar except for ‘Daebo’. Crude protein also had the lowest ‘Daebo’ and generally glutinous rice showed higher crude protein content than common rice. The hardness showed that ‘Seolgaeng’ and ‘Keunnun’ were the lowest, and ‘Haiami’ was the highest. In the RVA analysis, the setback was in the range －80.61~22.44 and was low in the order of ‘Wolbaek’, ‘Baekjinju'', and ‘Dongjinchal’. As a result of water binding capacity (WBC) measurement, ‘Sindongjin’, ‘Geonyang’ and ‘Samkwang’, were high in common rice, and ‘Dongjinchal’ and ‘Hwaseonchal’ were high in glutinous rice. Generally, solubility and swelling power in common rice was found to be lower than in glutinous rice. As a result, ‘Samkwang’ is considered suitable for brown rice porridge production because of high WBC, breakdown, and low setback.

2018년 10월부터 2019년 10월까지 광주지역의 대형마트(50건), 재래시장(25건) 및 온라인(50건)에서 구입한 보리차, 옥수수차, 결명자차, 둥글레차, 옥수수수염차 등 침출차 총 125건을 대상으로 중금속, 벤조피렌, 곰팡이독소 함량 조사를 통해 오염실태를 평가하였다. 중금속 중 As, Cd, Pb 함량을 검사하였으며, benzopyrene은 발암물질로 분류된 benzo(a)pyrene의 함량을 조사하였다. 그리고 곰팡이독소는 aflatoxin (AFB1, AFB2, AFG1, AFG2), ochratoxin A (OTA), fumonisin (FUB1, FUB2), zearalenone (ZON)의 함량을 검사하였다. 「식품공전」에 제시된 침출차의 규격과 비교해 보았을 때 중금속 함량은 기준이 설정된 범위(Pb 5.0 mg/kg 이하) 내에서 검출되어 모두 적합하였고, benzo(a)pyrene은 125건 중 16건의 시료에서 12.8%의 검출률을 나타내었으며, 곰팡이독소는 125건 중 29건의 시료에서 23.2%의 검출률을 나타내었다. 하지만 현재 우리 나라 「식품공전」에서는 침출차의 벤조피렌, 곰팡이독소 기준규격이 정해져있지 않아 이에 대한 안전성 여부는 확인하기 어려웠다.

The IoT-based sensor network is one of the methods that can be efficiently applied to maintain the facilities, such as bridges, at a low cost. In this study, based on LoRa LPWAN, one of the IoT communications, sensor board for cable tension monitoring, data acquisition board for constructing sensor network along with existing measurement sensors, are developed to create bridge structural health monitoring system. In addition, we designed and manufactured a smart sensor node for LoRa communication and established a sensor network for monitoring. Further, we constructed a test bed at the Yeonggwang Bridge to verify the performance of the system. The test bed verification results suggested that the LoRa LPWAN-based sensor network can be applied as one of the technologies for monitoring the bridge structure soundness; this is excellent in terms of data rate, accuracy, and economy.

축산 폐수는 고농도의 영양염류와 중금속을 함유하고 있어, 배출될 때 수질을 악화시킨다. 기존 처리 기술과 비교하여 bioremediation은 축산 폐수 처리에 유능하다. 특히, 미세조류는 오염물질 제거에 잠재력을 가지고 있다. 본 연구에서는 Ankistrodesmus bibraianus를 이용하여 축산 폐수 내 영양염류 (질소 (N), 인 (P))와 중금속 (구리 (Cu), 아연 (Zn))의 제거 가능성을 평가하고, A. bibraianus의 최적배양조건을 확립하였다. 연구결과, 최적 배양조건은 28°C, pH 7, 광주기는 14 : 10 h로 설정되었다. N과 P의 단일 처리구 (500, 1,000, 5,000, 10,000 mg L-1)에서 제거효율은 각각 22.9~80.6%와 11.9~50.0%였다. 또한, N과 P의 복합 처리구에서 제거효율은 각각 16.4~58.3%와 7.80~49.8%였다. Cu와 Zn의 단일 처리구 (10, 30, 50 mg L-1)에서 제거효율은 각각 15.5~81.5%와 6.28~34.3%였다. 유사하게, Cu와 Zn의 복합 처리구에서 제거효율은 각각 16.7~74.5%와 5.58~27.5%였다. 또한 영양염류 (N 및 P)와 중금속 (Cu 및 Zn)의 성장 및 제거효율을 축산 폐수에 적용할 수 있음을 나타냈다. 본 연구의 결과에 따르면 A. bibraianus는 축산 폐수 내 영양염류와 중금속 제거에 이용할 수 있을 것으로 사료된다.

Indoor air environments for people are recently being observed because the time we spend inside the house or a building throughout the day has been extended during the present circumstances. This is why formaldehyde and volatile organic compounds (VOCs) are regulated, which can cause Sick Building Syndrome (SBS). There might be other VOCs not regulated by law in newly built collective housing, however, in order to compensate for the reduced concentration of regulated VOCs such as benzene, toluene, ethylbenzene, xylene, and styrene. In this study, the concentration of unregulated VOCs in newly built collective housing structures located in the Seoul Special City was researched to find potential indoor hazards for citizens and to prepare basic data for further research.