• 제목/요약/키워드: SmartRoot

검색결과 150건 처리시간 0.029초

Effectiveness of laser-engineered copper-nickel titanium versus superelastic nickel-titanium aligning archwires: A randomized clinical trial

  • Omar Khairullah Ahmed;Ammar Salim Kadhum
    • 대한치과교정학회지
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    • 제54권1호
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    • pp.16-25
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    • 2024
  • Objective: To compare the effectiveness of laser-engineered copper-nickel titanium (SmartArch) and superelastic nickel-titanium (SENT) archwires in aligning teeth and inducing root resorption and pain experienced by patients. Methods: Two-arm parallel groups with a 1:1 allocation ratio were used. The participants were patients aged 11.5 years and older with 5-9 mm of mandibular anterior crowding who were indicated for non-extraction treatment. The primary outcome was alignment effectiveness, assessed using Little's irregularity index (LII) over 16 weeks with a single wire (0.016-inch) in the SmartArch group and 2 wires (0.014- and 0.018-inch) in the SENT group (8 weeks each). Secondary outcomes included root resorption evaluated by pre- and post-intervention periapical radiographs and pain levels recorded by the participants during the first week. Results: A total of 40 participants were randomly allocated into 2 groups; 33 completed the study and were analyzed (16 in the SmartArch group and 17 in the SENT group, aged 16.97 ± 4.05 years). The total LII decrease for the SmartArch and SENT groups was 5.63 mm and 5.29 mm, respectively, which was neither statistically nor clinically significant. Root resorption was not significantly different between the groups. The difference in pain levels was not statistically significant for the first 5 days following wire placement; however, there was a significant difference favoring the SENT group in the final 2 days. Conclusions: SmartArch and SENT archwires were similarly effective during the alignment phase of orthodontic treatment. Root resorption should be observed throughout the treatment with either wire. SmartArch wires demonstrated higher pain perception than SENT wires.

뿌리업종 중견중소기업의 설비 AI 플랫폼 구축에 관한 사례연구 (Case Study on the Implementation of Facility AI Platform for Small and Medium Enterprises of Korean Root Industry)

  • 이병구;문태수
    • 한국정보시스템학회지:정보시스템연구
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    • 제32권3호
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    • pp.205-224
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    • 2023
  • Purpose This study investigates the impact of organizational characteristics on organizational performance through case studies of smart factory implementation in the context of Korean small and medium Enterprises (SMEs). To achieve this goal, this study adopts the smart factory index of KOSMO (Korea Smart Manufacturing Office) established by Korean Ministry of SMEs and Startups. We visited 3 firms implemented smart factory projects. This study presents the results of field study in detail with evaluation criteria on how organizational competences like AI technology adoption and facility automation can be exploited to positively influence organizational performance through smart factory implementation. Design/methodology/approach There are not so many results of empirical studies related to smart factories in Korea. This is because organizational support and user involvement are required for facility AI platform service beyond factory automation after the start of the 4th Industrial Revolution. Korean government's KOSMO (Korean Smart Manufacturing Office) has developed and proposed a level measurement index for smart factory implementation. This study conducts case studies based on the level measurement method proposed by KOSMO in the process of conducting case studies of three companies belonging to the root and mechanic industries in Korea. Findings The findings indicate that organizational competences, such as facility AI platform adoption and user involvement, are antecedents to influence smart factory implementation, while smart factory implementation has significant relationship with organizational performance. This study provides a better understanding of the connection between organizational competences and organizational performance through smart factory case studies. This study suggests that SMEs should focus on enhancing their organizational competences for improving organizational performance through implementing smart factory projects.

Hypoglycemic effects of Welsh onion in an animal model of diabetes mellitus

  • Kang, Min-Jung;Kim, Ji-Hye;Choi, Ha-Neul;Kim, Myoung-Jin;Han, Jung-Hee;Lee, Jai-Heon;Kim, Jung-In
    • Nutrition Research and Practice
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    • 제4권6호
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    • pp.486-491
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    • 2010
  • Tight control of blood glucose is the most important strategy for the treatment of diabetes mellitus. Here, we investigated the beneficial effects of Welsh onion on fasting and postprandial hyperglycemia. Inhibitory activities of hot water extracts from the green stalk and white bulb, which are the edible portions of the Welsh onion, and the fibrous root extract against yeast ${\alpha}$-glucosidase were measured in vitro. To study the effects of Welsh onion on postprandial hyperglycemia, a starch solution (1 g/kg) with and without Welsh onion fibrous root extract (500 mg/kg) or acarbose (50 mg/kg) was administered to streptozotocin-induced diabetic rats after an overnight fast. Postprandial plasma glucose levels were measured and incremental areas under the response curve were calculated. To study the hypoglycemic effects of chronic feeding of Welsh onion, five-week-old db/db mice were fed an AIN-93G diet or a diet containing either Welsh onion fibrous root extract at 0.5% or acarbose at 0.05% for 7 weeks after 1 week of adaptation. Fasting plasma glucose and blood glycated hemoglobin were measured. Compared to the extract from the edible portions of Welsh onion, the fibrous root extract showed stronger inhibition against yeast ${\alpha}$-glucosidase, with an $IC_{50}$ of 239 ${\mu}g/mL$. Oral administration of Welsh onion fibrous root extract (500 mg/kg) and acarbose (50 mg/kg) significantly decreased incremental plasma glucose levels 30-120 min after oral ingestion of starch as well as the area under the postprandial glucose response curve, compared to the control group (P < 0.01). The plasma glucose and blood glycated hemoglobin levels of the Welsh onion group were significantly lower than those of the control group (P < 0.01), and were not significantly different from those fed acarbose. Thus, we conclude that the fibrous root of Welsh onion is effective in controlling hyperglycemia in animal models of diabetes mellitus.

스마트그리드를 위한 하이퍼큐브 스패닝 트리 프로토콜 (A Hyper Cube Spanning Tree Protocol for Smart Grid)

  • 박문걸;조인휘
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2011년도 춘계학술발표대회
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    • pp.572-575
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    • 2011
  • It is well known that spanning tree protocol (STP) is the most commonly used protocol in switching networks for smart grid. STP selectively blocks redundancy links of the network to prevent layer 2 loops in network, and it also has a functionality of backing up links. As with the other protocols, STP has been updated with the continuing development of the network. STP is a broad concept and it does not just refer in particular to defined STP protocol in IEEE 802.1D standards, it refers to updated spanning tree protocol based on STP. Because of uneven distribution of communication traffic in root bridge, STP cannot satisfy fast converge nce while the failure occurs near the root bridge or on the root bridge in tree topologies of STP. In this paper, we propose a novel method --- Hyper Cube Spanning Tree Protocol (HCSTP) to solve uneven distribution of communication traffic. Theoretically, hyper cube in our protocol increases throughput and improves the utilization of communication. The simulation results show that HCSTP can achieve comparative and considerably higher performance than other STP protocols in terms of reconnection.

Anti-Obesity Effects of Red Beet Extract

  • Song, Hwan
    • International journal of advanced smart convergence
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    • 제10권4호
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    • pp.225-232
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    • 2021
  • Obesity is caused by the accumulation of triglycerides in adipocytes by the differentiation and lipid synthesis process of pre-adipocytes, and excessive accumulation of adipocytes by the activated Adipogenesis process within the differentiated cells. Therefore, inhibiting the differentiation of adipocyte cells or controlling the adipogenesis process is known as an effective treatment method for obesity. This study evaluates the inhibition of Red beet root extract on pancreatic lipase and pre-adipocyte cell differentiation. Also it evaluates the Red beet root extract activities on C/EBP-𝛼,𝛽, and PPAR-𝛄. The experiments proved that the Red beet root extract inhibits pancreatic lipase by concentration dependency. Further, in 3T3-L1 inhabitation experiment, it was found Red beet root extract inhibited adipocyte formation. Red beet root extract also inhibits the expression of C/EBP-𝛼, C/EBP-𝛽, and PPAR-𝛾 which effect the process of adipocytic differentiation. We therefore concluded that RBE has a high potential to further studies on anti-obesity effect.

GRU기반 전력사용량 예측을 적용한 스마트 미터기 구현 (Implementation of Smart Meter Applying Power Consumption Prediction Based on GRU Model)

  • 이지영;선영규;이선민;김수현;김영규;이원섭;심이삭;김진영
    • 한국인터넷방송통신학회논문지
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    • 제19권5호
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    • pp.93-99
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    • 2019
  • 본 논문에서는 효율적 에너지 관리를 위해 인공 신경망 중 하나인 GRU 모델을 사용하여 전력사용량을 예측하고 예측된 전력사용량과 실제 전력사용량의 비교를 통해 부하를 자동 제어 하는 스마트 미터기를 제안한다. 제안한 스마트 미터기를 통해 GRU 모델을 학습시키기 위해 필요한 전력사용량 데이터를 수집했다. 구현된 스마트 미터기가 전력사용량 자동측정 및 실시간 관찰 기능과 전력사용량 예측을 통한 부하 제어 기능을 가지고 있음을 보여준다. 성능평가 지표 중 하나인 Root Mean Squared Error (RMSE) 값에 약 20%의 마진 값을 이용하여 부하 자동 제어를 위한 기준 값으로 설정했다. 부하 자동 제어 기능을 가진 스마트 미터기로 인해 에너지 관리의 효율성이 증대되는 것을 확인하였다.

데이터 기반 모델에 의한 강제환기식 육계사 내 기온 변화 예측 (Data-Based Model Approach to Predict Internal Air Temperature in a Mechanically-Ventilated Broiler House)

  • 최락영;채영현;이세연;박진선;홍세운
    • 한국농공학회논문집
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    • 제64권5호
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    • pp.27-39
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    • 2022
  • The smart farm is recognized as a solution for future farmers having positive effects on the sustainability of the poultry industry. Intelligent microclimate control can be a key technology for broiler production which is extremely vulnerable to abnormal indoor air temperatures. Furthermore, better control of indoor microclimate can be achieved by accurate prediction of indoor air temperature. This study developed predictive models for internal air temperature in a mechanically-ventilated broiler house based on the data measured during three rearing periods, which were different in seasonal climate and ventilation operation. Three machine learning models and a mechanistic model based on thermal energy balance were used for the prediction. The results indicated that the all models gave good predictions for 1-minute future air temperature showing the coefficient of determination greater than 0.99 and the root-mean-square-error smaller than 0.306℃. However, for 1-hour future air temperature, only the mechanistic model showed good accuracy with the coefficient of determination of 0.934 and the root-mean-square-error of 0.841℃. Since the mechanistic model was based on the mathematical descriptions of the heat transfer processes that occurred in the broiler house, it showed better prediction performances compared to the black-box machine learning models. Therefore, it was proven to be useful for intelligent microclimate control which would be developed in future studies.

정화 처리토가 렌틸(콩과식물)의 지상부 및 뿌리 성장에 주는 영향에 대한 정량평가 (Quantifying Inhibitory Effects of Reclaimed Soils on the Shoot and Root Growth of Legume plant Lentil(Lens culinaris))

  • 박혜선;강수아;배범한
    • 한국지하수토양환경학회지:지하수토양환경
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    • 제26권5호
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    • pp.1-8
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    • 2021
  • A series of pot experiments were conducted to quantitatively estimate inhibitory effects of reclaimed soil on the growth of Lentil (Lens culinaris) with two soils remediated by land farming (DDC) and low temperature thermal desorption(YJ), respectively. After cultivation in a growth chamber for 8 days, plants were harvested for the analysis of 8 indices including chlorophyll-a and carotenoid in leaves, shoot fresh weight, root dry weight, root length, number of later roots, specific root length (SRL) as well as germination rate in comparison to control experiment conducted on nursery soil. Root length was estimated by SmartRoot program from the digital images of the roots. The results showed germination rate on YJ and DDC soil decreased 29 and 71%, respectively. In comparison to the control, the averaged value of the 8 indices for YJ and DDC soil showed overall growth inhibition was 48 and 68%, respectively. When the same experiment was conducted with 25% (W/W) vermiculate amended soil, plant growth on each soil was comparable to that of the control. The results implies reclaimed soils requires additional processes and/or amendments to reuse for plant growth.

식물종자의 액상오존처리에 의한 종자 발아 및 초기 성장 증진 (Enhanced Germination & Initial Seedling Development by Liquid Phase Ozonation of Plant Seeds)

  • 양희경;정윤아;최원철;배범한
    • 한국지하수토양환경학회지:지하수토양환경
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    • 제24권5호
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    • pp.1-10
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    • 2019
  • The effects of liquid phase ozonation on seed dormant alleviation and subsequent seedling growth were studied using two plant seeds of Indian jointvetch (Aeschynomene indica L.) and Indian mallow (Abutilon avicennae Gaertn.). At a constant ozone concentration ($80g/m^3$), contact time varied from 10 to 60 min with 10 min interval. Germination rate, root length, and specific root length were compared after 3-day incubation on gel-medium. The germination rate increased significantly (p<0.05) in the 50 min treatment of Indian mallow by 30% compared to the control. Enhanced root elongation was observed in the seeds of 30 min treatment of Indian jointvetch and 30~50 min treatment of Indian mallow. Specific root length, an indicator of environmental change, did not show significant changes, suggesting the level of ozone treatment has no adverse effect on seedling development. The results indicate that liquid phase seed ozonation can be an effective on-site germination alleviation method in the application of phytoremediation.

뿌리기업 자동화·스마트 공정을 위한 Plug-in 구조의 IOT 미들웨어 구축 방법 (Structure Method for IOT Middle Ware with Plug-in module for Automation & Smart processing of Ppuri Manufacturing Factory)

  • 이정훈;김의룡;김신령;김영곤
    • 한국인터넷방송통신학회논문지
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    • 제19권2호
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    • pp.229-236
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    • 2019
  • 우리나라 산업의 근간인 뿌리기업의 자동화 스마트 공정상 IOT 미들웨어는 사물인터넷 기기(센서 등)의 데이터 정보를 해석하고 관리하며 제어할 수 있는 중추적 역할이 요구된다. 특히 뿌리산업은 산업별 공정 흐름이 상이하고 기업별 데이터 처리요구도 다양해 이를 수용하기 위한 범용 IOT 미들웨어가 필요한 상황이다. 본 논문이 제시한 IOT 미들웨어 구조는 그에 대한 해결책으로 통신, 데이터 수집과 처리, 서비스 연계 등 미들웨어 기본 프로세스는 엔진부로 범용화 시키고 뿌리산업 분야별 사물인터넷 기기와 기업별 처리 요구사항은 개별적으로 대응할 수 있는 Plug-in 구조를 도입함으로서 유연하고 효과적인 뿌리산업 스마트 공정을 제안하였다. 또한 미들웨어 Plug-in과 연계 서비스 계층 간 네트워크 데이터에 대한 암호화를 통해 변조, 탈취 등에 대한 예방과 보안을 강화하는 방안을 제시하였다. 향후 MQTT, COAP, XAMP 등 다양한 네트워크 프로토콜에서 확장 가능할 수 있도록 뿌리산업에 특성화된 IOT 미들웨어 플랫폼으로 발전시킬 시스템을 제안하고자 한다.