• 한국건축시공학회지
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• 제22권6호
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• pp.597-606
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• 2022

본 논문은 발수제 혼입에 따른 시멘트 모르타르 표면의 얼음 제거성능에 다양한 요인 중 발수제 첨가 및 종류에 대한 영향을 검토하였다. 그 결과 발수제 첨가 시멘트 모르타르의 압축강도는 무첨가 시멘트 모르타르와 비교하여 감소하였고, 올리고머계 발수제 첨가 모르타르의 압축강도는 모노머계 발수제와 비교하여 높게 나타났다. 발수제 첨가 모르타르의 접촉각은 무첨가 모르타르와 비교하여 증가하였고 모노머계 발수제보다는 올리고머 발수제가 상대적으로 증가하였다. 발수제 혼입에 따른 시멘트 모르타르의 얼음형성시간 측정 결과 발수제를 첨가하였을 때 25분까지 지연시키는 것으로 나타났다. 얼음 제거하중 측정결과 발수제를 첨가하지 않은 모르타르는 342N을 발현하였고 발수제를 첨가한 모르타르는 31N을 발현하여 발수제를 모르타르에 첨가하는 경우 얼음제거성능이 감소하였다.

• 한국물환경학회지
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• 제22권5호
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• pp.748-756
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• 2006

Accurate and timely information on status and trends in the environment is necessary to shape sound water quality management policy and to implement water quality improvement programs efficiently. One of the most effective ways to communicate information on water quality trends to policy-makers, scientists, and the general public is with comprehensive water quality indices. The derivation and structure of a water quality index (WQI) for the classification of surface water quality is discussed. The WQI generally developed through the selection, transformation and weighting of determinants with rating curves based on legal standards and quality directives or guidelines. The representative pollutants should be included in the index, and the relationship between the quantity of these pollutants in the water and the resulting quality of the water should be based on scientific results. The WQI be simply and meaningfully formulated that nonscientifically trained users can easily become familiar with the framework of the system and use the output data to evaluate their own pollution problems.

• International Journal of Computer Science & Network Security
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• 제23권1호
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• pp.1-10
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• 2023

Open surface water body extraction is gaining popularity in recent years due to its versatile applications. Multiple techniques are used for water detection based on applications. Different applications of Radar as LADAR, Ground-penetrating, synthetic aperture, and sounding radars are used to detect water. Shortwave infrared, thermal, optical, and multi-spectral sensors are widely used to detect water bodies. A stereo camera is another way to detect water and different methods are applied to the images of stereo cameras such as deep learning, machine learning, polarization, color variations, and descriptors are used to segment water and no water areas. The Satellite is also used at a high level to get water imagery and the captured imagery is processed using various methods such as features extraction, thresholding, entropy-based, and machine learning to find water on the surface. In this paper, we have summarized all the available methods to detect water areas. The main focus of this survey is on water detection especially in small patches or in small areas. The second aim of this survey is to detect water hazards for unmanned vehicles and off-sure navigation.

• 대한기계학회:학술대회논문집
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• 대한기계학회 2007년도 춘계학술대회B
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• pp.2177-2181
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• 2007

In this paper, effective thermal conductivities of water-based $Al_2O_3$-nanofluids with low concentration from 0.01 vol. % to 0.3 vol. % are experimentally obtained by transient hot wire method (THWM). The water-based $Al_2O_3$-nanofluids are manufactured by two-step method which is widely used. To examine suspension and dispersion characteristics of the water-based $Al_2O_3$-nanofluids, Zeta potential as well as transmission electron micrograph (TEM) is observed. We confirm the manufactured $Al_2O_3$-nanofluids have good suspension and dispersion. The effective thermal conductivities of the water-based $Al_2O_3$-nanofluids with low concentration are enhanced up to 1.64% compared with that of DI water at $21^{\circ}C$. In addition, experimental results are compared with theoretical results from Jang and Choi model.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2022년도 춘계학술대회
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• pp.300-302
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• 2022

본 논문은 FANET 환경에서 UAV 간에 자원 충돌 없이 무선 자원을 공유 할 수 있는 시분할 다중접속 기반 자원 충돌 회피 기법을 제안한다. 제안하는 기법은 UAV에 설치된 GPS 장치로부터 얻은 정보 토대로 UAV 이동성을 추측하여 자원 충돌 발생률을 감소시키고자 한다. 시뮬레이션을 통해 경쟁기반 방식 프로토콜과 성능 비교를 하였으며, 제안한 알고리즘이 자원 충돌을 감소시킬 수 있음을 확인하였다.

• KSBB Journal
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• 제15권4호
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• pp.352-358
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• 2000

키토산의 가수분해 산물인 키토산 올리고당의 효율적이고 단순화된 분리를 위하여 기질인 키토산을 담체화 하여 효소를 이용한 올리고당의 생산에 있어서 product의 새로운 분리법에 대한 가능성을 연구하였다. 기질로 사용한 chitosan bead 를 W/O emulsion 상분리법을 이용한 유기상의 방법과 키토산 용액을 알칼리 용액에 적하하는 수상의 방법으로 제조하였는데 bead가 효소와 접촉하는 표면적을 최대로 하기 위하여 구형으로 제조하였다. 이때 유기상 bead의 지름은 $200{\mu}m$였고, 수상 bead의 경우 $4000{\mu}m$, $100{\mu}m$, $30{\mu}m$였다. pH 와 온도, 효소의 양을 변화시켜 가면서 반응 시스템에서 최 적의 유기상 bead의 가수분해 조건을 조사한 결과 pH 6.0, 온도는 $50^{\circ}C$, 그리고 효소의 양은 40U이 최적임을 알 수 있 었다. 유기상 bead의 최적 가수분해 조건을 수상 bead에 적 용시켜 반응성을 살펴보았는데 반응에 사용된 수상 bead의 표면적이 유기상 bead에 비하여 낮음에도 불구하고 거의 동 일한 분해도를 나타내었다. 수상 bead의 경우 크기가 작을수록 높은 분해도를 나타냈으며, 각 bead를 사용하였을 때 생산된 최종 산물의 올리고당의 조성을 HPLC와 GPC로 분석하였는데, 유기상 bead로부터 생산된 올리고당의 조성은 주 로 2-4당이었으며, 수상 bead로부터 생산된 올리고당의 조성은 2-5당이었고, 평균 분자량은 M.W. 540과 M.W. 380이었다.

• 한국물환경학회지
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• 제25권4호
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• pp.606-614
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• 2009

To evaluate the biological water quality, diatom-based biological indices (DAIpo and TDI) were examined in the Sum-River and the Dal-stream. Having BOD concentrations below $2mg{\cdot}L^{-1}$ in most sites, water quality of both rivers was good. The DAIpo and TDI values ranged from 29.8 to 91.4 and from 38.7 to 93.0 respectively. From the biological water quality assessment, DAIpo and TDI for both rivers displayed fair to fairly poor water quality levels. However, the two indices showed more polluted conditions than expected from the BOD vlaues. In addition, DAIpo, having wider range of differences, appears to be more sensitive to the change in water quality when compared to TDI values. Statistical analysis using principal component analysis showed that Nitzschia palea and Diatoma vulgare might not be the appropriate indicators due to their low correlations with other indicators.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2022년도 학술발표회
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• pp.139-139
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• 2022

Nature-based solutions (NBS) involved conservation or rehabilitation of natural ecosystems or the creation of natural processes in modified or artificial ecosystems to mimic natural processes for the improved management of water (UN-Water, 2018). This study investigated the relationship between microbial presence and survival to the pollutant treatment performance of seven different stormwater NBS managing urban stormwater runoff. In this study, seven different stormwater nature-based solution (NBS) was investigated to identify the relationship of microbial community to the pollutant removal performance of stormwater NBS. Based on this study, Proteobacteria was found to be the most dominant microorganism for all stormwater NBS and IS followed by Acidobacteria and Actinobacteria. Acidobacteria, Actinobacteria, Chloroflexi, Gemmatimonadetes, WS3, and AF234118_p were found to have high positive correlation to most pollutant removal efficiency of different stormwater NBS (r-value: 0.62 to 0.68). Using Proteobacteria and Acidobacteria count in stormwater NBS, equations predicting pollutant removal performance were also developed and may be used in minimizing the cost for stormevent monitoring to identify the pollutant removal performance of stormwater NBS.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제18권1호
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• pp.46-63
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• 2024

One of the biggest dangers in the globe is water contamination. Water is a necessity for human survival. In most cities, the digging of borewells is restricted. In some cities, the borewell is allowed for only drinking water. Hence, the scarcity of drinking water is a vital issue for industries and villas. Most of the water sources in and around the cities are also polluted, and it will cause significant health issues. Real-time quality observation is necessary to guarantee a secure supply of drinking water. We offer a model of a low-cost system of monitoring real-time water quality using IoT to address this issue. The potential for supporting the real world has expanded with the introduction of IoT and other sensors. Multiple sensors make up the suggested system, which is utilized to identify the physical and chemical features of the water. Various sensors can measure the parameters such as temperature, pH, and turbidity. The core controller can process the values measured by sensors. An Arduino model is implemented in the core controller. The sensor data is forwarded to the cloud database using a WI-FI setup. The observed data will be transferred and stored in a cloud-based database for further processing. It wasn't easy to analyze the water quality every time. Hence, an Optimized Neural Network-based automation system identifies water quality from remote locations. The performance of the feed-forward neural network classifier is further enhanced with a hybrid GA- PSO algorithm. The optimized neural network outperforms water quality prediction applications and yields 91% accuracy. The accuracy of the developed model is increased by 20% because of optimizing network parameters compared to the traditional feed-forward neural network. Significant improvement in precision and recall is also evidenced in the proposed work.

• 한국농공학회논문집
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• 제54권6호
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• pp.65-76
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• 2012

Agricultural reservoir water quality simulation model (ARSIM-rev) was developed in this study for water quality simulation of a small and shallow agricultural reservoir with limited observed water quality data. Developed ARSIM-rev is a zero-dimensional water quality model because of little spatial differences in water quality between stations in a small and shallow agricultural reservoir. ARSIM-rev used same water quality reaction equations with WASP except for several equations, and daily based input parameters such as settling rate, release rate from sediment, and light extinction coefficient changed yearly based input parameters in ARSIM-rev. A number of pre- and post-processors were developed such as auto calibration and scenario analysis for ARSIM-rev. CE-QUAL-W2, WASP, and developed ARSIM-rev were applied to Mansu agricultural reservoir to evaluate model performance, and ARSIM-rev demonstrated similar model performance with CE-QUAL-W2 and WASP when low number of observed data was used for agricultural reservoir water quality simulation. Overall, developed ARSIM-rev was feasible for water quality simulation in a small and shallow agricultural reservoir with limited observed water quality data, and it can simulate agricultural reservoir water quality precisely enough like common water quality model such as CE-QUAL-W2 and WASP within a limited time.