• Resources Recycling
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• v.32 no.6
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• pp.25-33
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• 2023

With the growth of the battery industry, a rapid increase in the production and usage of lithium-ion batteries is expected, and in line with this, much interest and effort is being paid to recycle waste batteries, including production scrap. Although much effort has been made to recycle cathode material, much attention has begun to recycle anode material to secure the supply chain of critical minerals and improve recycling rates. The proximate analysis that measures the content of coal can be used to analyze graphite in anode material, but it cannot accurately analyze due to the interaction between the components of the black mass. Therefore, in this study, thermogravimetric analysis of each component of black mass was measured as the temperature increased up to 950℃ in an oxygen atmosphere. As a result, in the case of cathode material, no change in mass was measured other than a mass reduction of about 5% due to oxidation of the binder and conductive material. In the case of anode material, except for a mass reduction of about 2% due to the binder, all mass reduction were due to the graphite(fixed carbon). In addition, metal conductors (Al, Cu) were oxidized and their mass increased as the temperature increased. Thermal analysis results of mixed samples of cathode/anode show similar results to the predictive values that can be calculated through each cathode and anode analysis results.

• Informatization Policy
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• v.30 no.4
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• pp.113-137
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• 2023

This study aims to conduct the classification of Government as a Platform (GaaP) in a situation where the concept of GaaP can be diversely recognized. This is because inclusiveness and ambiguity in the concept of GaaP can hinder policy enforcement by working-level officials in the public sector. It drew the criteria for classification for GaaP based on literature and cases for GaaP. In the technical aspect, considering data as an overarching factor, the integrated system platform integrating the information system or websites of the public sector and the data platform as a single portal for open data to external stakeholders were sorted. In the governance aspect considering stakeholder as an overarching factor, the communication platform utilized for interaction between public and private sectors and the co-creation platform that encourages public-private partnership to create innovative outcomes were sorted. It suggested an actual implementation case and the policy implication according to each type of GaaP. Additionally, according to the classification of GaaP, it conducted contents analysis as to which type of GaaP the domestic Digital Platform Government belongs to based on its detailed assignment. Based on the classification of GaaP, it drew balanced implementation for various types of GaaP, plan for promoting the participation and collaboration of stakeholders, and necessity of restructuring and reinventing of the public sector as policy implications for the domestic digital platform government.

• Proceedings of the Plant Resources Society of Korea Conference
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• 2020.08a
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• pp.42-42
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• 2020

오이(Cucumis sativa L.)는 1년생 초본의 덩굴성 박과 작물로 미숙한 과실을 다양한 식품 용도로 이용하고 있다. 오이는 시설재배기술 확립으로 연중 생산과 공급이 가능하나 내병성 품종개발이 필요한 실정이다. 또한 오이의 다양한 생리활성 물질에 대한 관심이 높아지고 있어 이를 위한 다양한 오이 자원이 필요한 실정이다. 본 연구에서는 국내외에서 수집한 오이 180자원의 형태적 특성을 분석하여 육종 소재로 활용하는데 있어 기초 정보를 제공하고자 하였다. 본 연구에서 사용된 오이 자원의 원산지는 조지아 98자원, 한국 37자원, 중국 28자원, 우즈베키스탄 17자원이었다. 오이 180자원은 모두 덩굴손을 가졌으며 자웅동주로 조사되었다. 착과습성은 주지형 83자원, 주지 및 측지형 97자원으로 조사되었고 절화당 자화수는 175자원이 2개로 조사되었으며 5자원은 1개로 조사되었다. 과형은 장원형 87자원, 단원형 92자원으로 대부분을 차지하였으며 과선단좁은형이 1자원 조사되었다. 과기부형태는 평평한 형태 83자원, 휘어진 형태 94자원으로 대부분이었으며 오목한 형태 1자원, 뽀족한 형태 2자원이 조사되었다. 과선단의 형태는 평평한 형태 148자원, 휘어지 형태 32자원으로 조사되었다. 오이 유전자원의 개화기는 60~80일로 평균 66.1일 이었으며 과실 성숙기는 33~68일로 평균 49.6일이었다. 국가별로 개화기는 62.4일(중국)~68.5일(한국), 과실성숙기는 48.3일(중국,조지아)~54.1일(우즈베키스탄)로 조사되었다. 본 실험에서 조사된 오이 유전자원의 형태적 특성은 오이 선발에 있어 기초 정보로 활용 가능할 것이며 추가적으로 농업형질, 내병성, 기능성 분석등의 오이 육종 프로그램을 위한 다양한 자원 평가 및 선발이 필요할 것이다.

• Proceedings of the Plant Resources Society of Korea Conference
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• 2020.08a
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• pp.98-98
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• 2020

본 연구의 목적은 약재로 사용되는 천궁 중 토천궁(Ligusricum chuanxing Hort.)에 대한 지역별 생육환경을 확인하고 이에 따른 지상부 및 지하부 생장과의 상관관계를 규명하여 토천궁의 적정 재배지역 확인 및 지속 가능한 안정적인 한약재 생산에 대한 기초자료로 사용함에 있다. 토천궁이 주로 재배되고 있는 봉화군, 영양군, 평창군과 더불어 기후변화에 의한 재배지 이동을 고려하여 고위도 지역인 인제군을 포함한 4지역의 재배지를 선정하였으며, 생육특성을 비롯 기상 및 토양환경을 분석하여 토천궁의 생육특성과의 상관관계를 분석하였다. 4지역의 재배지 중 지상부와 지하부의 전체적인 생육은 평창지역에서 유의적으로 높게 확인되었다. 그리고 생육특성과 기상환경과의 상관관계에서 대기 및 토양온도가 지상부의 전체높이, 줄기직경, 지하부의 생육특성과 P < 0.01수준에서 유의적인 음의 상관관계, 잎의 길이 및 너비와는 양의 상관관계를 보였다. 또한 일사량이 높아질수록 잎의 크기를 제외한 생육특성이 양의 상관관계를 나타냈는데 이는 대기 및 온도의 상승으로 인한 잎의 증발산율 상승과 일사량에 따른 잎의 광합성량의 차이에 의한 결과라 사료된다. 또한 토양특성과의 상관관계에서 OM과 N, P, K는 지상부의 전체 높이와 줄기 직경을 비롯한 지하부의 생육특성과 음의 상관관계를 보였는데 근권의 토양시료를 사용하여 분석한 것이라 실질적으로 토천궁의 생육에 필요한 토양의 성분이 OM과 N, P, K이며, 토천궁에 의해 흡수되었다고 판단되는데 생육이 가장 우수했던 평창지역 토양 내 OM(1.69%)과 N(0.09%), P(897.72mg/kg), K(0.21cmol⁺/kg)의 수치가 타 지역 대비 상대적으로 낮게 측정된 결과가 본 실험에서 확인된 생육에 대한 OM, N, P, K의 함량과 부의 상관관계를 지지하며, 본 연구의 결과는 향후 토천궁의 재배지 선정 및 재배기술 정립에 활용할수 있을 것이라 사료된다.

• Journal of Internet Computing and Services
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• v.24 no.6
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• pp.127-135
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• 2023

With the development of information and communication technology, the amount of information produced and shared in the battlefield and stored and managed in the system dramatically increased. This means that the amount of information which cansupport situational awareness and decision making of the commanders has increased, but on the other hand, it is also a factor that hinders rapid decision making by increasing the information overload on the commanders. To overcome this limitation, this study proposes a method to automatically search, select, and summarize documents that can help the commanders to understand the battlefield situation reports that he or she received. First, named entities are discovered from the battlefield situation report using a named entity recognition method. Second, the documents related to each named entity are discovered. Third, a language model and collaborative filtering are used to select the documents. At this time, the language model is used to calculate the similarity between the received report and the discovered documents, and collaborative filtering is used to reflect the commander's document reading history. Finally, sentences containing each named entity are selected from the documents and sorted. The experiment was carried out using academic papers since their characteristics are similar to military documents, and the validity of the proposed method was verified.

• Industry Promotion Research
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• v.8 no.4
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• pp.267-276
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• 2023

Based on the tourism input-output data of five provinces and cities in China's Bohai Rim region from 2015~2021, this study analyzes the efficiency of regional tourism using DEA-BCC and DEA-Malmquist index, as well as its contribution to regional economic efficiency, and identifies factors influencing the comprehensive efficiency. The research results indicate that the comprehensive efficiency of the tourism industry in the China Bohai Sea region has reached an optimal level of 88.9%, but there is still room for improvement, with overall fluctuations. The overall productivity of the tourism industry exhibits a "U"-shaped fluctuating pattern, with growth mainly driven by technological advancements. Due to the impact of the COVID-19 pandemic, the region experienced a nearly 50% decrease in total factor productivity in 2019~2020. However, in 2021, with the implementation of various government stimulus policies, the tourism efficiency rapidly recovered to 80% of pre-pandemic levels. In terms of the impact of the tourism industry on the regional economy in the China Bohai Sea region, Hebei Province stands out as a significant contributor. Based on the aforementioned research findings, the following recommendations are proposed in three aspects: optimizing the supply structure, increasing innovation investment, and strengthening internal collaboration. These recommendations provide valuable insights for enhancing regional tourism efficiency and promoting regional synergy.

• KIPS Transactions on Computer and Communication Systems
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• v.11 no.6
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• pp.193-204
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• 2022

In a smart factory environment in a small and medium-sized enterprise (SME) environment, sensors and actuators operating on actual manufacturing lines, programmable logic controllers (PLCs) to manage them, human-machine interface (HMI) to control and manage such PLCs, and consists of operational technology server to manage PLCs and HMI again. PLC and HMI, which are in charge of control automation, perform direct connection with OT servers, application systems for factory operation, robots for on-site automation, and production facilities, so the development of security technology in a smart factory environment is demanded. However, smart factories in the SME environment are often composed of systems that used to operate in closed environments in the past, so there exist a vulnerable part to security in the current environment where they operate in conjunction with the outside through the Internet. In order to achieve the internalization of smart factory security in this SME environment, it is necessary to establish a process according to the IEC 62443-4-1 Secure Product Development Life cycle at the stage of smart factory SW and HW development. In addition, it is necessary to introduce a suitable development methodology that considers IEC 62443-4-2 Component security requirements and IEC 62443-3 System security requirements. Therefore, this paper proposes an application plan for the IEC 62443 based development security process to provide security internalization to smart factories in an SME environment.

• Journal of Marine Bioscience and Biotechnology
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• v.15 no.2
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• pp.41-48
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• 2023

The objective of the present study was to improve the biomass productivity of newly isolated freshwater green microalga Parachlorella sp. This was accomplished by culture conditions optimization, including CO₂ concentration, superficial gas velocity, and light intensity, in 0.5 L bubble column photobioreactors. The supplied CO₂ concentration and gas velocity varied from 0.032% (air) to 10% and 0.02 m/s - 0.11 m/s, respectively, to evaluate their effects on growth kinetics. Next, to maximize the production rate of Parachlorella sp., a lumostatic operation based on a specific light uptake rate (q_e) was applied. From these results, the optimal CO₂ concentration in the supplied gas and the gas velocity were determined to be 5% and 0.064 m/s, respectively. For the lumostatic operation at 10.2 µmol/g/s, biomass productivity and photon yield showed significant increases of 83% and 66%, respectively, relative to cultures under constant light intensity. These results indicate that the biomass productivity of Parachlorella sp. can be improved by optimizing gas properties and light control as cell concentrations vary over time.

• Korean Journal of Agricultural and Forest Meteorology
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• v.25 no.3
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• pp.182-196
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• 2023

Accurate and timely estimation of crop yields is crucial for various purposes, including global food security planning and agricultural policy development. Remote sensing techniques, particularly using vegetation indices (VIs), have show n promise in monitoring and predicting crop conditions. However, traditional VIs such as the normalized difference vegetation index (NDVI) and enhanced vegetation index (EVI) have limitations in capturing rapid changes in vegetation photosynthesis and may not accurately represent crop productivity. An alternative vegetation index, the near-infrared reflectance of vegetation (NIRv), has been proposed as a better predictor of crop yield due to its strong correlation with gross primary productivity (GPP) and its ability to untangle confounding effects in canopies. In this study, we investigated the potential of NIRv in estimating crop yield, specifically for corn and soybean crops in major crop-producing regions in 14 states of the United States. Our results demonstrated a significant correlation between the peak value of NIRv and crop yield/area for both corn and soybean. The correlation w as slightly stronger for soybean than for corn. Moreover, most of the target states exhibited a notable relationship between NIRv peak and yield, with consistent slopes across different states. Furthermore, we observed a distinct pattern in the yearly data, where most values were closely clustered together. However, the year 2012 stood out as an outlier in several states, suggesting unique crop conditions during that period. Based on the established relationships between NIRv peak and yield, we predicted crop yield data for 2022 and evaluated the accuracy of the predictions using the Root Mean Square Percentage Error (RMSPE). Our findings indicate the potential of NIRv peak in estimating crop yield at the county level, with varying accuracy across different counties.

• Journal of the Economic Geographical Society of Korea
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• v.26 no.3
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• pp.223-237
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• 2023

The Seoul Onsu Industrial Complex, having been completed over 50 years ago, is an old industrial complex, with deteriorating infrastructure and factory buildings. Despite this, there's a current urban industrial agglomeration centered on the machinery industry in the Seoul Onsu Industrial Complex. This study aims to holistically analyze the physical deterioration of facilities in the aging industrial complex and the characteristics of industrial agglomeration to derive the identity of the Seoul Onsu Industrial Complex. Based on the research findings, the complex is seeing an enhanced urban industrial agglomeration due to the influx of small-scale businesses resulting from concentrated trade networks in the metropolitan area and plot subdivision, permission for noise-producing processes, and the ease of securing highly-skilled technicians. However, this agglomeration coexists with a weakening of the complex's production function, limited innovativeness of resident companies, and non-innovative features resulting from weakened competitiveness in the metropolitan machinery industry. In summary, the identity of the Seoul Onsu Industrial Complex is a 'Non-Innovative Urban Industry Agglomeration', an old industrial complex, witnessing non-innovative agglomeration based on a machinery industry network centered in the metropolitan area.