• 인간식물환경학회지
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• 제23권6호
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• pp.655-665
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• 2020

Background and objective: This study was conducted to compare the cultivation environment, growth of cut flowers, and management performance of conventional farms and smart farms growing the standard cut chrysanthemum, 'Jinba'. Methods: Conventional and smart farms were selected, and facility information, cultivation environment, cut flower growth, and management performance were investigated. Results: The conventional and smart farms were located in Muan, Jeollanam-do, and conventional farming involved cultivating with soil culture in a plastic greenhouse, while the smart farm was cultivating with hydroponics in a plastic greenhouse. The conventional farm did not have sensors for environmental measurement such as light intensity and temperature and pH and EC sensors for fertigation, and all systems, including roof window, side window, thermal screen, and shading curtain, were operated manually. On the other hand, the smart farm was equipped with sensors for measuring the environment and nutrient solution, and was automatically controlled. The day and night mean temperatures, relative humidity, and solar radiation in the facilities of the conventional and the smart farm were managed similarly. But in the floral differentiation stage, the floral differentiation was delayed, as the night temperature of conventional farm was managed as low as 17.7℃ which was lower than smart farm. Accordingly, the harvest of cut flowers by the conventional farm was delayed to 35 days later than that of the smart farm. Also, soil moisture and EC of the conventional farm were unnecessarily kept higher than those of the smart farm in the early growth stage, and then were maintained relatively low during the period after floral differentiation, when a lot of water and nutrients were required. Therefore, growth of cut flower, cut flower length, number of leaves, flower diameter, and weight were poorer in the conventional farm than in the smart farm. In terms of management performance, yield and sales price were 10% and 38% higher for the smart farm than for the conventional farm, respectively. Also, the net income was 2,298 thousand won more for the smart farm than for the conventional farm. Conclusion: It was suggested that the improved growth of cut flowers and high management performance of the smart farm were due to precise environment management for growth by the automatic control and sensor.

• 한국환경복원기술학회지
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• 제25권4호
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• pp.1-13
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• 2022

본 연구에서는 차광처리가 벌개미취와 구절초의 생리적 반응에 미치는 영향을 조사하기 위해, 대조구(0%)와 3개의 서로 다른 차광처리구(50%, 75%, 95%)를 설치하고 엽록소 함량, 생장 및 광합성 특성을 조사하였다. 벌개미취와 구절초 모두 차광수준이 높아질수록 낮은 광도에 적응하기 위해 광합성에 대한 빛의 흡수 효율이 높은 잎이 형성되었다. 또한 차광수준이 높아질수록 낮은 광도에서 광합성을 수행하기 위해 암호흡속도의 저하와 광보상점의 감소가 나타났고, 광합성 효율을 높이기 위해 엽록소 함량과 순양자수율이 증가하였다. 광합성 속도는 대조구에서 가장 높았고 차광수준이 높아질수록 저하하였다. 대조구에서는 강광에 의한 수분손실을 막기 위해 기공전도도와 증산속도가 감소하였다. 50% 차광처리구의 기공전도도와 증산속도는 대조구에 비해 높았으나, 75%와 95% 차광처리구에서는 더 낮게 나타나 광합성 효율이 떨어지는 것으로 나타났다. 수분이용효율 또한 광합성속도와 유사한 경향으로 나타났고, 차광수준에 따라서 저하하는 것으로 나타났다. 벌개미취는 전천광보다 낮은 광 조건에서 생육할 시 광합성 능력이 저하하는 것으로 보이며, 구절초의 경우 50% 차광처리까지는 광합성에 큰 영향을 끼치지 않는 것으로 판단된다. 벌개미취와 구절초는 광을 제한하여 차광 상태를 지속하게 되면 생육에 불리할 것으로 판단된다. 이러한 벌개미취와 구절초의 생육특성은 상층임관이 존재하지 않은 DMZ 불모지와 같은 환경에 도입시키기 적합할 것으로 판단된다.

• 한국환경복원기술학회지
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• 제26권1호
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• pp.47-59
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• 2023

Due to climate change and urbanization, abnormally high temperatures and heat waves are expected to increase in urban and deteriorate thermal comfort. Planting of street trees and changing the albedo of urban surfaces are the strategies for mitigating the thermal environment of urban, and both of these strategies affect the exposure and blocking of radiative fluxes to pedestrians. After measuring the shortwave and longwave radiation according to the ground surface with different albedo and the presence of street trees using the CNR4 net radiometer, this study analyzed the relationship between this two strategies in terms of thermal environment mitigation by calculating the MRT(Mean Radiant Temperature) of each environment. As a result of comparing the difference between the downward shortwave radiation measured under the right tree and at the control, the shortwave radiation blocking effect of the tree increased as the downward shortwave radiation increased. During daytime hours (from 11 am to 3 pm), the MRT difference caused by the albedo difference(The albedo of the surfaces are 0.479 and 0.131, respectively.) on surfaces with no tree is approximately 3.58℃. When tree is present, the MRT difference caused by the albedo difference is approximately 0.49℃. In addition, in the case of the light-colored ground surface with high albedo, the surface temperature was low and the range of temperature change was lower than the surrounding surface with low albedo. This result shows that the urban thermal environment can be midigate through the planting of street trees, and that the ground surface with high albedo can be considered for short pedestrians. These results can be utilized in planning street and open space in urban by choosing surfaces with high albedo along with the shading effect of vegetation, considering the use by various users.

• Asia Marketing Journal
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• 제16권4호
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• pp.1-18
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• 2015

Assuming that not all background music in advertising function as effective retrieval cues for the advertised messages, this study proposes that we should be able to distinguish the retrieval cue effect of music from the simple ad exposure effect. This study tries to identify which specific characteristics of music are related to the retrieval cue effect. Our experiment focuses on congruency and familiarity of music as key characteristics of music which affect the effectiveness of the music's role as a retrieval cue for the advertised messages. We used four groups of subjects to test the retrieval cue effect of the background music. Each group was exposed to one of the four different types of background music and was again sub-divided into an experimental and a control group (i.e., a total of eight independent sub-groups were included in the experiment.) The first two sub-groups were exposed to the experimental advertisement with the background music of high congruency and high familiarity. After the ad exposure, the background music was provided as a retrieval cue to only one of the two sub-groups. Comparison of the memory performance between the two sub-groups will reveal the net retrieval cue effect of the music of high congruency and high familiarity. Similarly, another two sub-groups watched the same ad but with the background music of high congruency and low familiarity. Also the same ad but with the music of low congruency/ high familiarity was shown to another two sub-groups and that of low congruency and low familiarity music was to another two. Among the two sub-groups with the same music, only one group had the music cue at the memory tasks. One hundred and seventy four undergraduate students at the college of one of authors in Asia participated in the study. Their ages ranged from 18 to 24 with a median of 20. The sample was composed of 51.7 percent male subjects. They were randomly assigned to each of the eight sub-group. The results show that the music highly congruent with the advertised message facilitates the message retrieval, while the low congruency music cue does not. It was also found that the low familiarity music cue improves memory performance only when the music is perceived as congruent with the advertised message. From a theoretical and practical perspective, this study provides boundary conditions for effective retrieval and suggests that the congruent music specifically created for the ad is a more effective retrieval cue than other types of music cues.

• Nuclear Engineering and Technology
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• 제55권10호
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• pp.3913-3923
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• 2023

Todays, medium energy resolution detectors are preferably used in radioisotope identification devices(RID) in nuclear and radioactive material categorization. However, there is still a need to develop or enhance « automated identifiers » for the useful RID algorithms. To decide whether any material is SNM or NORM, a key parameter is the better energy resolution of the detector. Although masking, shielding and gain shift/stabilization and other affecting parameters on site are also important for successful operations, the suitability of the RID algorithm is also a critical point to enhance the identification reliability while extracting the features from the spectral analysis. In this study, a RID algorithm based on Bayesian statistical method has been modified for medium energy resolution detectors and applied to the uranium gamma-ray spectra taken by a LaBr3:Ce detector. The present Bayesian RID algorithm covers up to 2000 keV energy range. It uses the peak centroids, the peak areas from the measured gamma-ray spectra. The extraction features are derived from the peak-based Bayesian classifiers to estimate a posterior probability for each isotope in the ANSI library. The program operations were tested under a MATLAB platform. The present peak based Bayesian RID algorithm was validated by using single isotopes(²⁴¹Am, ⁵⁷Co, ¹³⁷Cs, ⁵⁴Mn, ⁶⁰Co), and then applied to five standard nuclear materials(0.32-4.51% at.²³⁵U), as well as natural U- and Th-ores. The ID performance of the RID algorithm was quantified in terms of F-score for each isotope. The posterior probability is calculated to be 54.5-74.4% for ²³⁸U and 4.7-10.5% for ²³⁵U in EC-NRM171 uranium materials. For the case of the more complex gamma-ray spectra from CRMs, the total scoring (ST) method was preferred for its ID performance evaluation. It was shown that the present peak based Bayesian RID algorithm can be applied to identify ²³⁵U and ²³⁸U isotopes in LEU or natural U-Th samples if a medium energy resolution detector is was in the measurements.

• 한국컴퓨터정보학회논문지
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• 제28권11호
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• pp.113-123
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• 2023

본 논문은 사용자 독립방식의 블록체인 기부시스템인 Cherry system을 소개하고 있다. 이는 기부자가 기부를 하게 되면 가상계좌를 통해 수혜자의 통장으로 전달되는 절차라서 사용자 입장에서는 기존의 기부금 전달 방식과 차이가 없다. 다만 블록체인 내부에서는 사용자 ID에 따른 가상화폐인 체리 포인트를 매칭 방식으로 발행하여 수혜자에게 전달하면서, 모든 거래와 사용 내용을 블록체인에서 관리하는 방식이다. 이런 방법을 채택함으로 Typical transaction 상황에서 1,000TPS 이상을 나타내고, 21.3초 이내에 서비스 완료되는 블록체인 성능의 개선이 있었다. 본 시스템에서는 권한 자동 제어 알고리즘을 적용함으로써 stake에 따른 권한은 2개월이 경과하면 0.3으로 크게 감소하여 권한 집중화를 자동으로 제어할 수 있었다. 또한 개인 ID 별로 기부금 장부에 타임 스탬프 추적기능을 추가함으로써 마이크로 트래킹이 가능하도록 설계되었고, 이를 통해 기부금 사용의 투명성을 개선하였다. 서비스 관점에서 기존의 블록체인 기부시스템들은 제한된 기부금 전달 방식으로 처리되었던 것을 사용자 독립방식을 적용함으로써 다양한 형태로 기부금을 전달하게 하여 사용자 편의성을 크게 개선하였다.

• 사물인터넷융복합논문지
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• 제9권6호
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• pp.93-98
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• 2023

벼농사에서 물 관리는 매우 중요한 작업이다. 벼의 생육 초기에는 잡초 발생을 억제하기 위하여 물을 깊이 대고, 모내기 후 뿌리가 활착하면 줄기 생성을 촉진하기 위해 물을 얕게 대며, 쌀알이 맺힐 수 없는 줄기가 생성되는 시기에는 물을 뗀다. 물 공급 상황은 논 위치, 농수로, 토양, 기상 등 다양한 요소에 영향을 받기 때문에 농민은 수시로 논을 방문하여 수위를 확인하고 물의 유출입을 통제한다. 경작하는 논이 원격지에 분산되어 있다면 이러한 노력은 더욱 증가한다. 자동 물 관리 시스템은 노동력을 절감하여 생산성 향상에 기여할 수 있는 방안으로 고려되고 있다. 그러나 2022년 국내 벼 생산으로 인한 순수익은 평균 32만원/10a 정도이다. 따라서 높은 단가의 고사양 장치를 적용하거나 공사를 추진하여 관련 인프라를 구축하는 것은 현실적으로 어렵다. 본 연구는 추가적인 기반공사 없이 국내 농업 인프라에 통합될 수 있는 물꼬 개발에 중점을 두었으며 세 가지 주요 분야에서 연구를 수행하여 사물인터넷 기반 물꼬를 구현하였다. 첫째, 기존의 농업용 관수 파이프에 빠르고 쉽게 설치할 수 있는 물꼬를 설계하였다. 둘째, 저전력 통신 기능을 갖춘 Cat M1 통신 모뎀과 아두이노 나노 보드를 연결하고 전원을 공급하는 전자회로를 제작하였다. 셋째, 클라우드 기반 플랫폼을 이용하여 서버와 데이터베이스 환경을 구축하고 사용자가 접근할 수 있는 웹 페이지를 제작하였다.

• Nuclear Engineering and Technology
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• 제55권10호
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• pp.3543-3548
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• 2023

Shutdown chemistry evolution is performed in nuclear power plants at each refueling outage (RFO) to establish safe conditions to open system and minimize inventory of corrosion products in the reactor coolant system (RCS). After hydrogen peroxide is added to RCS during shutdown chemistry evolution, corrosion products are released and are removed by filters and ion exchange resins in the chemical volume control system (CVCS). Shutdown chemistry evolution including RCS clean-up time to remove released corrosion products impacts the critical path schedule during RFOs. The estimation of clean-up time prior to RFO can provide more reliable actions for RCS clean-up operations and transients to operators during shutdown chemistry. Electric Power Research Institute (EPRI) shutdown calculator (SDC) enables to provide clean-up time by Co-58 peak activity through operational data from nuclear power plants (NPPs). In this study, we have investigated the results of EPRI SDC by shutdown chemistry data of Co-58 activity using NPP data from previous cycles and modeled the estimated clean-up time by EPRI SDC using average Co-58 activity of the NPP. We selected two RFO data from the NPP to evaluate EPRI SDC results using the purification time to reach to 1.3 mCi/cc of Co-58 after hydrogen peroxide addition. Comparing two RFO data, the similar purification time between actual and computed data by EPRI SDC, 0.92 and 1.74 h respectively, was observed with the deviation of 3.7-7.2%. As the modeling the estimated clean-up time, we calculated average Co-58 peak concentration for normal cycles after cycle 10 and applied two-sigma (2σ, 95.4%) for predicted Co-58 peak concentration as upper and lower values compared to the average data. For the verification of modeling, shutdown chemistry data for RFO 17 was used. Predicted RCS clean-up time with lower and upper values was between 21.05 and 27.58 h, and clean-up time for RFO 17 was 24.75 h, within the predicted time band. Therefore, our calculated modeling band was validated. This approach can be identified that the advantage of the modeling for clean-up time with SDC is that the primary prediction of shutdown chemistry plans can be performed more reliably during shutdown chemistry. This research can contribute to improving the efficiency and safety of shutdown chemistry evolution in nuclear power plants.

• Korean Journal of Radiology
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• 제24권4호
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• pp.294-304
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• 2023

Objective: We aimed to investigate whether image standardization using deep learning-based computed tomography (CT) image conversion would improve the performance of deep learning-based automated hepatic segmentation across various reconstruction methods. Materials and Methods: We collected contrast-enhanced dual-energy CT of the abdomen that was obtained using various reconstruction methods, including filtered back projection, iterative reconstruction, optimum contrast, and monoenergetic images with 40, 60, and 80 keV. A deep learning based image conversion algorithm was developed to standardize the CT images using 142 CT examinations (128 for training and 14 for tuning). A separate set of 43 CT examinations from 42 patients (mean age, 10.1 years) was used as the test data. A commercial software program (MEDIP PRO v2.0.0.0, MEDICALIP Co. Ltd.) based on 2D U-NET was used to create liver segmentation masks with liver volume. The original 80 keV images were used as the ground truth. We used the paired t-test to compare the segmentation performance in the Dice similarity coefficient (DSC) and difference ratio of the liver volume relative to the ground truth volume before and after image standardization. The concordance correlation coefficient (CCC) was used to assess the agreement between the segmented liver volume and ground-truth volume. Results: The original CT images showed variable and poor segmentation performances. The standardized images achieved significantly higher DSCs for liver segmentation than the original images (DSC [original, 5.40%-91.27%] vs. [standardized, 93.16%-96.74%], all P < 0.001). The difference ratio of liver volume also decreased significantly after image conversion (original, 9.84%-91.37% vs. standardized, 1.99%-4.41%). In all protocols, CCCs improved after image conversion (original, -0.006-0.964 vs. standardized, 0.990-0.998). Conclusion: Deep learning-based CT image standardization can improve the performance of automated hepatic segmentation using CT images reconstructed using various methods. Deep learning-based CT image conversion may have the potential to improve the generalizability of the segmentation network.

• Nuclear Engineering and Technology
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• 제55권12호
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• pp.4447-4464
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• 2023

This paper focuses on the development of a new computational model of the CNESTEN's TRIGA Mark II research reactor using the 3D continuous energy Monte-Carlo code TRIPOLI-4 (T4). This new model was developed to assess neutronic simulations and determine quantities of interest such as kinetic parameters of the reactor, control rods worth, power peaking factors and neutron flux distributions. This model is also a key tool used to accurately design new experiments in the TRIGA reactor, to analyze these experiments and to carry out sensitivity and uncertainty studies. The geometry and materials data, as part of the MCNP reference model, were used to build the T4 model. In this regard, the differences between the two models are mainly due to mathematical approaches of both codes. Indeed, the study presented in this article is divided into two parts: the first part deals with the development and the validation of the T4 model. The results obtained with the T4 model were compared to the existing MCNP reference model and to the experimental results from the Final Safety Analysis Report (FSAR). Different core configurations were investigated via simulations to test the computational model reliability in predicting the physical parameters of the reactor. As a fairly good agreement among the results was deduced, it seems reasonable to assume that the T4 model can accurately reproduce the MCNP calculated values. The second part of this study is devoted to the sensitivity and uncertainty (S/U) studies that were carried out to quantify the nuclear data uncertainty in the multiplication factor k_eff. For that purpose, the T4 model was used to calculate the sensitivity profiles of the k_eff to the nuclear data. The integrated-sensitivities were compared to the results obtained from the previous works that were carried out with MCNP and SCALE-6.2 simulation tools and differences of less than 5% were obtained for most of these quantities except for the C-graphite sensitivities. Moreover, the nuclear data uncertainties in the k_eff were derived using the COMAC-V2.1 covariance matrices library and the calculated sensitivities. The results have shown that the total nuclear data uncertainty in the k_eff is around 585 pcm using the COMAC-V2.1. This study also demonstrates that the contribution of zirconium isotopes to the nuclear data uncertainty in the k_eff is not negligible and should be taken into account when performing S/U analysis.