• Annals of Pediatric Endocrinology and Metabolism
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• 제23권4호
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• pp.176-181
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• 2018

Noonan syndrome (NS) is an autosomal dominant disorder that involves multiple organ systems, with short stature as the most common presentation (>70%). Possible mechanisms of short stature in NS include growth hormone (GH) deficiency, neurosecretory dysfunction, and GH resistance. Accordingly, GH therapy has been carried out for NS patients over the last three decades, and multiple studies have reported acceleration of growth velocity (GV) and increase of height standard deviation score (SDS) in both prepubertal and pubertal NS patients upon GH therapy. One year of GH therapy resulted in almost doubling of GV compared with baseline; afterwards, the increase in GV gradually decreased in the following years, showing that the effect of GH therapy wanes over time. After four years of GH therapy, ~70% of NS patients reached normal height considering their age and sex. Early initiation, long duration of GH therapy, and higher height SDS at the onset of puberty were associated with improved final height, whereas gender, dosage of GH, and the clinical severity did not show significant association with final height. Studies have reported no significant adverse events of GH therapy regarding progression of hypertrophic cardiomyopathy, alteration of metabolism, and tumor development. Therefore, GH therapy is effective for improving height and GV of NS patients; nevertheless, concerns on possible malignancy remains, which necessitates continuous monitoring of NS patients receiving GH therapy.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권3호
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• pp.1385-1402
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• 2019

Quickly picking up some valuable information from massive manufacturing event stream usually faces with the problem of long detection time, high memory consumption and low detection efficiency due to its stream characteristics of large volume, high velocity, many variety and small value. Aiming to solve the problem above for the current complex event processing methods because of not sharing detection during the detecting process for massive manufacturing event streams, an efficient complex event processing method based on multipattern sharing is presented in this paper. The achievement of this paper lies that a multipattern sharing technology is successfully used to realize the quick detection of complex event for massive manufacturing event streams. Specially, in our scheme, we firstly use pattern sharing technology to merge all the same prefix, suffix, or subpattern that existed in single pattern complex event detection models into a multiple pattern complex event detection model, then we use the new detection model to realize the quick detection for complex events from massive manufacturing event streams, as a result, our scheme can effectively solve the problems above by reducing lots of redundant building, storing, searching and calculating operations with pattern sharing technology. At the end of this paper, we use some simulation experiments to prove that our proposed multiple pattern processing scheme outperforms some general processing methods in current as a whole.

• Membrane and Water Treatment
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• 제13권5호
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• pp.219-225
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• 2022

5th Assessment Report of the Intergovernmental Panel on Climate Change Weather (AR5) predicts that recent severe hydrological events will affect the quality of water and increase water pollution. To analyze changes in water quality due to future climate change, input data (precipitation, average temperature, relative humidity, average wind speed, and solar radiation) were compiled into a representative concentration curve (RC), defined using 8.5. AR5 and future use are calculated based on land use. Semi-distributed emission model Calculate emissions for each target period. Meteorological factors affecting water quality (precipitation, temperature, and flow) were input into a multiple linear regression (MLR) model and an artificial neural network (ANN) to analyze the data. Extensive experimental studies of flow properties have been carried out. In addition, an Acoustic Doppler Velocity (ADV) device was used to monitor the flow of a large open channel connection in a wastewater treatment plant in Ho Chi Minh City. Observations were made along different streams at different locations and at different depths. Analysis of measurement data shows average speed profile, aspect ratio, vertical position Measure, and ratio the vertical to bottom distance for maximum speed and water depth. This result indicates that the transport effect of the compound was considered when preparing the hazard analysis.

• 로봇학회논문지
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• 제17권4호
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• pp.407-416
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• 2022

Multiple AMRs have been proved to be effective in improving warehouse productivity by eliminating workers' wasteful walking time. Although Multi-agent Path Finding (MAPF)-based solution is an optimal approach for this task, its deployment in practice is challenging mainly due to its imperfect plan-execution capabilities and insufficient computing resources for high-density environments. In this paper, we present a MAPF-based fleet management system architecture that robustly manages multiple robots by re-computing their paths whenever it is necessary. To achieve this, we defined four events that trigger our MAPF solver framework to generate new paths. These paths are then delivered to each AMR through ROS2 message topic. We also optimized a graph structure that effectively captures spatial information of the warehouse. By using this graph structure we can reduce computational burden while keeping its rescheduling functionality. With proposed MAPF-based fleet management system, we can control AMRs without collision or deadlock. We applied our fleet management system to the real logistics warehouse with 10 AMRs and observed that it works without a problem. We also present the usage statistic of adopting AMRs with proposed fleet management system to the warehouse. We show that it is useful over 25% of daily working time.

• 자원환경지질
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• 제52권5호
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• pp.449-457
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• 2019

본 연구에서는 경상분지에 나타나는 주요 단층의 단층 gouge 대상으로 단층 gouge bulk 시료 및 선별시료의 $0.1{\mu}m$ 이하 입도시료를 대상으로 수행한 K-Ar 연대측정 결과를 제시하였다. 이 결과를 대상 시료의 광물학적 특성에 기초한 해석을 통해 단층의 활동시기를 해석하고, 기존의 단층 활동연대자료와 종합하여 신생대의 단층활동의 시 공간적 특성을 알아보고자 하였다. 대상시료의 광물학적 특성을 고려한 K-Ar 연대 측정값의 의미를 종합해 보면, 경상분지 주요 단층에서는 전기 신생대인 약 50 Ma 전후시기, 30 Ma 이 후 시기, 그리고 20 Ma 이 후 시기 등 최소 3차례의 단층활동이 있었던 것으로 해석할 수 있다. 양산단층은 공간적으로 단층 북단에서 단층활동 연대가 젊게 나타나는 경향을 보이고 있다. 오천단층 및 그 연계단층, 그리고 경주지역 지점 단층에서는 30 Ma 이 후 시기 및 20 Ma 이 후 시기의 단층활동이 집중되어 나타나고 있다. 이는 보다 정밀한 단층 활동연대를 결정하는 혼합연대 결정법인 illite-age-analysis(IAA)법 적용을 통해 보완될 것이다. 본 연구와 같은 경상분지 내 주요 단층에 대한 복수의 단층 활동연대 결정은 신생대 시기의 한반도 동남부 지역의 지구조 진화모델 확립에 결정적인 정보를 제공할 것이다.

• 방송공학회논문지
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• 제23권6호
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• pp.855-865
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• 2018

음향 이벤트 인식은 다수의 음향 이벤트가 발생하는 환경에서 이를 인식하고 각각의 발생과 소멸 시점을 판단하는 기술로써 인간의 청각적 인지 특성을 모델화하는 연구다. 음향 장면 및 이벤트 인식 연구 그룹인 DCASE는 연구자들의 참여 유도와 더불어 음향 인식 연구의 활성화를 위해 챌린지를 진행하고 있다. 그러나 DCASE 챌린지에서 제공하는 데이터 세트는 이미지 인식 분야의 대표적인 데이터 세트인 이미지넷에 비해 상대적으로 작은 규모이며, 이 외에 공개된 음향 데이터 세트는 많지 않아 알고리즘 개발에 어려움이 있다. 본 연구에서는 음향 이벤트 인식 기술 개발을 위해 실내외에서 발생할 수 있는 이벤트를 정의하고 수집을 진행하였으며, 보다 큰 규모의 데이터 세트를 확보하였다. 또한, 인식 성능 개선을 위해 음향 이벤트 존재 여부를 판단하는 보조 신경망을 추가한 이중 CNN 구조의 알고리즘을 개발하였고, 2016년과 2017년의 DCASE 챌린지 기준 시스템과 성능 비교 실험을 진행하였다.

• Journal of Korean Neurosurgical Society
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• 제66권5호
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• pp.536-542
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• 2023

Objective : Surgical site infection is the most detrimental complication following cranioplasty. In other surgical fields, intrawound vancomycin powder application has been introduced to prevent surgical site infection and is widely used based on results in multiple studies. This study evaluated the effect of intrawound vancomycin powder in cranioplasty compared with the conventional method without topical antibiotics. Methods : This retrospective study included 580 patients with skull defects who underwent cranioplasty between August 1, 1998 and December 31, 2021. The conventional method was used in 475 (81.9%; conventional group) and vancomycin powder (1 g) was applied on the dura mater and bone flap in 105 patients (18.1%; vancomycin powder group). Surgical site infection was defined as infection of the incision, organ, or space that occurred after cranioplasty. Surgical site infection within 1-year surveillance period was compared between the conventional and vancomycin powder groups with logistic regression analysis. Penalized likelihood estimation method was used in logistic regression to deal with zero events. All local and systemic adverse events associated with topical vancomycin application were also evaluated. Results : Surgical site infection occurred in 31 patients (5.3%) and all were observed in the conventional group. The median time between cranioplasty and detection of surgical site infection was 13 days (range, 4-333). Staphylococci were the most common organisms and identified in 25 (80.6%) of 31 cases with surgical site infections. The surgical site infection rate in the vancomycin powder group (0/105, 0.0%) was significantly lower than that in the conventional group (31/475, 6.5%; crude odds ratio [OR], 0.067; 95% confidence interval [CI], 0.006-0.762; adjusted OR, 0.068; 95% CI, 0.006-0.731; p=0.026). No adverse events associated with intrawound vancomycin powder were observed during the follow-up. Conclusion : Intrawound vancomycin powder effectively prevented surgical site infections following cranioplasty without local or systemic adverse events. Our results suggest that intrawound vancomycin powder is an effective and safe strategy for patients undergoing cranioplasty.

• 한국산업정보학회논문지
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• 제22권5호
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• pp.39-49
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• 2017

인공위성 발사를 위한 우주발사체는 효율적인 비행을 위하여 다단으로 구성이 되며 단분리, 연료점화 및 연소종료 등의 비행이벤트를 거쳐서 임무를 완수하게 된다. 이 과정에서 발사체는 추력이 발생하는 동력비행구간과 추력이 없는 탄도비행구간의 과정을 반복하여 겪게 된다. 이러한 우주 발사체의 비행특성을 하나의 동력학 모델로 표현하기는 어렵기 때문에 다중모델을 사용하는 추적 알고리즘에 대한 연구가 많이 진행되어 왔다. 다중모델 추적 알고리즘을 사용하는 경우에는 추적 성능의 개선을 기대할 수 있지만, 사용할 각 동력학 모델들을 적절히 선정해야 하는 어려움이 있으며 또한 다중모델 사용으로 인해 계산양이 증가하는 단점이 있다. 본 논문에서는 등가속도 모델과 적응형 Singer 모델을 사용하는 두 개의 칼만필터만으로 다양한 비행특성을 가지는 우주발사체를 효과적으로 추적하는 방법을 제안한다.

• Journal of Electrical Engineering and Technology
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• 제6권6호
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• pp.806-816
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• 2011

Interest about social security has recently increased in favor of safety for infrastructure. In addition, advances in computer vision and pattern recognition research are leading to video-based surveillance systems with improved scene analysis capabilities. However, such video surveillance systems, which are controlled by human operators, cannot actively cope with dynamic and anomalous events, such as having an invader in the corporate, commercial, or public sectors. For this reason, intelligent surveillance systems are increasingly needed to provide active social security services. In this study, we propose a core technique for intelligent surveillance system that is based on swarm robot technology. We present techniques for invader enclosing using swarm robots based on multiple distributed object environment. The proposed methods are composed of three main stages: location estimation of the object, specified object tracking, and decision of the cooperative behavior of the swarm robots. By using particle filter, object tracking and location estimation procedures are performed and a specified enclosing point for the swarm robots is located on the interactive positions in their coordinate system. Furthermore, the cooperative behaviors of the swarm robots are determined via the result of path navigation based on the combination of potential field and wall-following methods. The results of each stage are combined into the swarm robot-based invader-enclosing technique on multiple distributed object environments. Finally, several simulation results are provided to further discuss and verify the accuracy and effectiveness of the proposed techniques.

• 보건행정학회지
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• 제30권3호
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• pp.286-300
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• 2020

In 2019, the Seoul metropolitan government established its own 'Seoul-type paid sick leave project'. Although the central government had to introduce such a system, which is also called sickness benefits, it was not implemented. In order to understand the process by which the Seoul government has implemented such a policy, this study used Kingdon's multiple streams framework. As a result, in the problem stream, it was found that the economic burden of sickness has been considered only in terms of medical expenses in the past of Korea. Then Songpa's three women and Middle East respiratory syndrome incidents raised awareness of the necessity of the sickness benefit system in 2014 and 2015. In the political stream, several social affairs such as national health insurance huge surpluses and the 2017 presidential election opened policy window. At that time, Seoul Mayor actively promoted sickness benefits as a policy entrepreneur. In the policy stream, the sickness benefit system has gained new attention through political events. To summary, these three streams flowed separately and then they assembled around huge political affairs. As a result, it was confirmed that Kingdon's model is the most effective theory than any other models in analyzing the health care policy decision process in Korea.