Korea Radioactive Waste Agency (KORAD), regulatory body and civic groups are calling for an infrastructure system that can more systematically and safely manage data on the results of radioactive waste sampling and nuclide analysis in accordance with radioactive waste disposal standards. To solve this problem, a study has been conducted on the analysis of the nuclide pattern of radioactive waste on the nuclide data contained in low-and intermediate-level radioactive waste. This paper will explain the optimal repackaged algorithm for reducing radioactive waste based on previous research results. The optimal repackaged algorithm for radioactive waste reduction is comprised based on nuclide pattern association indicators, classification by nuclide level of small-packaged waste, and nuclide concentration. Optimization simulation is carried out in the order of deriving nuclide concentration by small-packaged, normalizing drum minimization as a function of purpose, normalizing constraints, and optimization. Two scenarios were applied to the simulation. In Scenario 1 (generating facilities and repackaged by medium classification without optimization), it was assumed that there are 886 low-level drums and 52 very low-level drums. In Scenario 2 (generating facilities and repackaged by medium classification with optimization), 708 and 230 drums were assigned to the low-level and very low-level drums, respectively. As a result of the simulation, when repackaged in consideration of the nuclide concentration and constraints according to the generating facility cluster & middle classification by small package (Scenario 2) the low-level drum had the effect of reducing 178 drums from the baseline value of 886 drums to 708 drums. It was found that the reduced packages were moved to the very low-level drum. The system that manages the full life-cycle of radioactive waste can be operated effectively only when the function of predicting or tracking the occurrence of radioactive waste drums from the source of radioactive waste to the disposal site is secured. If the main factors affecting the concentration and pattern of nuclides are systematically managed through these systems, the system will be used as a useful tool for policy decisions that can prevent human error and drastically reduce the generation of disposable drums.

Considering the domestic condition with small land area and high population density, it is necessary to develop technology that can reduce the disposal area than the deep geological disposal method. For this, KAERI is developing a nuclide management process that can reduce the environmental burden of spent fuel, and establishing an evaluation model that can evaluate the performance of various process options. It is expected that an optimal option of the nuclide management process can be derived from disposal perspective by applying the evaluation model. The mass flow between processing steps of the radionuclide management process is the basic quantity required to quantify the evaluation criteria. Therefore, we built a generalized block model on GoldSim, which can simulate mass flow of various radionuclide management process options. In addition to the mass flow, this model was established to derive the amount of wastes generated by each processing step, the composition of nuclides, and radiological properties (decay heat, radioactivity, etc.). The mass flow and waste property derived from the models are closely related to the factors that determine the area of disposal concepts. Based on this, a disposal area calculation model was established as a model to evaluate the effectiveness of the radionuclide management process on environmental burden reduction. For verification, three process options, which can manage radionuclides having high decay heat (Cs, Sr) or large volume (U), were selected and evaluated as reference processes. And two disposal options, deep geological disposal and deep borehole disposal concepts were considered to be linked with the processes. As a result, it was confirmed that the disposal area could be reduced in the process separating radionuclides having high decay heat. In the future, other evaluation models for economic viability and safety will be added in the GoldSim model.

PURPOSES : Speed management is essential for enhancing children’s safety in school zones. The objectives of this study are to analyze how digital-based school zone signs and newly proposed signage for increasing visibility influence speed reductions and how the new system facilitates drivers obeying the speed limits. METHODS : A before/after analysis technique with comparison groups (widely used to evaluate safety effects) was employed. To effectively capture the safety effects of the new system, two significant measures were selected as the measures of effectiveness: the rates of change in space mean speeds and speed limit compliance. RESULTS : With three target sites and three comparison sites, the mean space speeds after installing the new systems were found to be slightly reduced for all target sites (the reduction rates of the space mean speed were found to be 5% for site A, 1% for site B, and 6% for site C). The lack of a constant tendency in speed reduction effects at all sites might be owing to the fact that the speed data collection was conducted before the driver's system adaptation was sufficiently performed. Regarding the speed limit compliance rate, significant increases were observed at two sites (10% for site A and 51% for site C), but site B did not show an increasing effect. The reason for the absence of this effect is that the installation of crosswalks and speed bumps at the target site affected the driver's compliance with the speed limit. CONCLUSIONS : An insufficient amount of evaluation results was obtained for the new guidance system. However, the new guidance system method provides an alternative approach to improving children's safety, i.e., by inducing drivers to actively slow down in school zones.

Excess nitrogen (N) flowing from livestock manure to water systems poses a serious threat to the natural environment. Thus, livestock wastewater management has recently drawn attention to this related field. This study first attempted to obtain the optimal conditions for the further volatilization of NH3 gas generated from pig wastewater by adjusting the amount of injected magnesia (MgO). At 0.8 wt.% of MgO (by pig wastewater weight), the volatility rate of NH3 increased to 75.5% after a day of aeration compared to untreated samples (pig wastewater itself). This phenomenon was attributed to increases in the pH of pig wastewater as MgO dissolved in it, increasing the volatilization efficiency of NH3. The initial pH of pig wastewater was 8.4, and the pH was 9.2 when MgO was added up to 0.8 wt.%. Second, the residual ammonia nitrogen (NH4 +-N) in pig wastewater was removed by precipitation in the form of struvite (NH4MgPO4·6H2O) by adjusting the pH after adding MgO and H3PO4. Struvite produced in the pig wastewater was identified by field emission scanning electron microscopy (FE-SEM) and X-ray diffraction (XRD) analysis. White precipitates began to form at pH 6, and the higher the pH, the lower the concentration of NH4 +-N in pig wastewater. Of the total 86.1% of NH4 +-N removed, 62.4% was achieved at pH 6, which was the highest removal rate. Furthermore, how struvite changes with pH was investigated. Under conditions of pH 11 or higher, the synthesized struvite was completely decomposed. The yield of struvite in the precipitate was determined to be between 68% and 84% through a variety of analyses.

본 연구는 첫째, 중국의 온라인 교육 시장 진출 모색을 위해 중국내 온라인 영어 교육 플랫폼 현황을 살펴보고, 둘째, 시진핑 정부의 ‘쌍감’ 정책 중 사교육 정책 시행 배경과 내용 및 추가 관련 정책을 면밀히 검토해 보았으며, 셋째, 관련 정책 시행 후 온라인 영어 교육 기업에 어떤 영향과 변화가 있었는지 구체적으로 분석해 보았다. 분석의 결과 정책 시행 후 중국 온라인 교육서비스 기업들은 운영에 있어 중국 당국 의 엄격한 통제를 받았으나, 이것이 기업에게 부정적인 영향만 준 것은 아니며 더욱 세분화된 시장 안에서 다양한 대상과 규정에 맞는 콘텐츠로 운영한다면 기회의 요인 이 될 수 있을 것임이 확인되었다. 본 연구의 분석 내용과 시사점들은 향후 우리나 라 온라인 교육 서비스 기업의 중국 진출 및 경쟁에 있어 일조할 수 있을 것으로 기 대된다.

계란의 비린내 강도는 가금류의 종류와 개인의 인식에 따라 다르지만 여러 요인에 의해 발생할 수 있다. 특히 트 리메틸아민(TMA)이 원인으로 밝혀졌다. 주목할만한 점은 리보플라빈이 TMA를 무취의 트리메틸아민-N-옥사이드로 전환시키는 역할을 하는 효소인 플라빈 함유 모노옥시게 나제 3의 활성을 증가시킬 수 있다는 점이다. 본 연구는 난황의 TMA 함량을 분석하여 비린내에 대한 기여도를 평 가하고, 비린내를 방지하는 방법을 개발하는 것을 목적으 로 하였다. 고체상 미세추출-기체 크로마토그래피/질량 분 석법을 사용하여 리보플라빈이 강화, 보충된 사료를 먹인 암탉의 난황에 있는 휘발성 화합물을 감지하고 정량화했다. 또한 샘플 간 휘발성 물질의 상대적 함량을 비교하기 위해 전자코를 이용하여 상관관계 연구를 수행하였다. TMA는 콜린이 함유된사료를 섭취한 가금류의 난황에서 고농도로 검출되었지만 리보플라빈이 보충된 사료를 섭취한 가금류 에서는 검출되지 않았다. 전반적으로, 이 연구는 리보플라 빈이 TMA를 포함하여 계란에 존재하는 휘발성 물질의 양 과 품질에 영향을 미친다는 것을 시사한다. 이러한 발견 이 계란의 비린내를 줄이는 것은 물론 품질 향상에 기여 하기를 기대한다.

본 논문에서는 1차원 오일러 보 요소(Euler-Bernoulli Beam Element)를 이용한 회전익기 축계에 대한 중량 최적설계를 수행하였다. 회전 축계의 특성을 고려해 비틀림(Torsion)과 베어링과 같은 축지지 강성 및 플랜지(Flange) 질량을 모두 고려하였고, 동적 안전성 확 보를 위해 고유치 해석을 수행하여 임계속도(Critical Speed)와 기어박스로부터 오는 치 변형 가진을 회피할 수 있도록 하였다. 축의 길 이는 고정된 상태에서 두께와 반경을 조절하여 중량 최적화를 수행하였으며, 최적화 과정은 2단계로 나누어 진행하였다. 1단계에서 는 비틀림 강도를 제약조건으로 하여 중량을 최적화한 후 2단계에서는 축계 안정성 확보 기준(Headquarters, U.S. Army Material Command, 1974)에 따라 축의 비틀림 강도에 대한 제약조건을 만족시키며, 축의 1차 모드가 임계속도를 회피할 수 있도록 축 1차모드 와 임계속도의 차이가 최대가 되도록 최적화를 진행하였다. 주어진 1차원 보 요소를 이용하여 최적설계를 한 결과를 3차원 유한요소 모델과 실제 제작된 축게의 시험결과와 비교하여 제안된 방법을 검증하였다.

본 연구에서는 건열처리를 통해 알팔파 종자에 접종된 Bacillus cereus ATCC 12480, Listeria monocytogenes ATCC SSA81, Staphylococcus aureus ATCC 6538, Escherichia coli O157:H7 ATCC 43894, Salmonella Typhimurium ATCC 14028을 발아율에 영향 없이 불활성화 시키는 조건(65oC 에서 21일, 70oC에서 16일, 75oC에서 10일, 80oC에서 7일)을 조사하였다. 알팔파 종자를 6-7 log CFU/g 수준으로 접종 하고 65, 70, 75, 80oC로 건열처리 한 후, 발아율을 확인 하였다. 알팔파 종자의 발아율은 시장에 유통되고 있는 알 팔파 새싹의 발아율 기준인 70%로 설정하였다. 알팔파 종 자에서 B. cereus는 65oC에서 21일, 70oC에서 18일, 75oC 에서 14일, 80oC에서 4일, Listeria monocytogenes는 65oC에서 21일, 70oC에서 18일, 75oC에서 12일, 80oC에서 7일, S. aureus는 65oC에서 18일, 70oC에서 18일, 75oC에서 11 일, 80oC에서 4일, E. coli O157:H7은 65oC에서 21일, 70oC 에서 18일, 75oC에서 12일, 80oC에서 6일, Sal. Typhimurium 은 65oC에서 24일, 70oC에서 22일, 75oC에서 14일, 80oC 에서 7일 이상 건열처리 하였을 때 완전히 불활성화 되었 다. 모든 균주는 65oC에서 80oC로 온도가 상승할 때 특정 온도에서 세균의 90%를 죽이는 데 필요한 시간인 D-값 (R2=0.5656−0.7957)이 유의미하게 감소하였다(P<0.05). 80oC 에서 7일간 건열처리 하였을 때 발아율이 70% 미만으로 감소하였기 때문에 75oC에서 14일간 건열처리 하는 것이 알팔파 종자의 안전성을 확보하는데 있어 가장 효과적인 방법이다. 이 연구는 알팔파 종자의 안전성을 확보하고 일 정한 품질의 새싹을 생산하는데 기초자료로 이용될 것으 로 기대된다.

PURPOSES : The purpose of this study is to understand the effect of installing highway rest areas reflecting continuous driving time as a factor that can affect drowsy driving. METHODS : In this study, various models were tested for representing the effect of reducing accidents of highway rest areas. Among the various models including negative binomial, a series of the zero-inflated models reflecting accidents, the zero-inflated model showed the best suitability. RESULTS : According to the results of the zero inflated negative binomial model, installation of highway rest areas was found to have an accident reduction effect of approximately 11.93%. This is somewhat lower than the accident reduction effect estimated in previous studies. In addition, variables related to continuous driving time were found to affect accidents caused by drowsy driving. CONCLUSIONS : Basically, by using the continuous driving time index, a vehicle that has been driving continuously for more than 2 hours or if the continuous driving time is increased for more than 2 hours, the probability of accidents increases. However, in the case of trucks, a more in-depth study is needed on whether an increase in trucks induces defensive driving of other vehicles and this causes a reduction in accidents. Thus, it is necessary to use the variable cautiously for the highway rest area installation plan.

As frontier materials, graphene oxide (GO) and graphene have penetrated almost all research areas and advanced numerous technologies in sensing, electronics, energy storage, catalysis, water treatment, advanced composites, biomedical, and more. However, the affordable large-scale synthesis of high-quality GO and graphene remains a significant challenge that negatively affects its commercialisation. In this article, firstly, a simple, scalable approach was demonstrated to synthesise high-quality, high yield GO by modifying the improved Hummers method. The advantages of the optimised process are reduced oxidation time, straightforward washing steps without using coagulation step, reduction in cost as eliminating the use of phosphoric acid, use of minimum chemical reagents, and increased production of GO per batch (~ 62 g). Subsequently, the produced GO was reduced to reduced graphene oxide (rGO) using three different approaches: green reduction using ascorbic acid, hydrothermal and thermal reduction techniques. The GO and rGO samples were characterised using various microscopy and spectroscopy techniques such as XRD, Raman, SEM, TEM, XPS and TGA. The rGO prepared using different methods were compared thoroughly, and it was noticed that rGO produced by ascorbic acid reduction has high quality and high yield. Furthermore, surface (surface wettability, zeta potential and surface area) and electrical properties of GO and different rGO were evaluated. The presented synthesis processes might be potentially scaled up for large-scale production of GO and rGO.