• 전기전자학회논문지
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• 제24권2호
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• pp.632-637
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• 2020

비간섭적 개별 전기 기기 부하 식별(NILM)은 단일 미터기에서 측정한 총 소비 전력을 사용하여 가정이나 회사에서 개별 전기 기기의 소비 전력과 사용 시간을 효율적으로 모니터링할 수 있는 방법이다. 본 논문에서는 스마트팜의 소비 전력 데이터 취득 시스템에서 LTE 모뎀을 통해 서버로 수집된 총 소비 전력량, 개별 전기 기기의 전력량을 HDF5 형태로 변환하고 NILM 분석을 수행하였다. NILM 분석은 오픈소스를 사용하여 잡음제거 오토인코더(Denoising Autoencoder), 장단기 메모리(Long Short-Term Memory), 게이트 순환 유닛(Gated Recurrent Unit), 시퀀스-투-포인트(sequence-to-point) 학습 방법을 사용하였다.

• 대한간호학회지
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• 제49권5호
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• pp.562-574
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• 2019

Purpose: The purpose of this study was to identify the response patterns of nursing unit managers regarding workplace bullying. Methods: Q methodology was used to identify the response patterns. Thirty-six Q samples were selected from the Q population of 210 that included literature reviews and in-depth interviews with clinical nurses and nursing managers. Participants were 30 nursing unit managers who had experience managing workplace bullying and they classified the Q samples into a normal distribution frame measured on a nine-point scale. The data were analyzed using the PC-QUANL program. Results: Five types of response patterns were identified: (1) sympathetic-understanding acceleration, (2) harmonious-team approach, (3) preventive-organizational management, (4) passive observation, and (5) leading-active intervention. The preventive-organizational management type was most frequently used by the nursing unit managers. Conclusion: The results of this study indicated that nursing unit managers attempted to prevent and solve workplace bullying in various ways. Therefore, it is necessary to develop and conduct leadership training and intervention programs that appropriately address the response patterns of nursing unit managers, such as those identified in this study.

• Asia Marketing Journal
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• 제18권4호
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• pp.77-98
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• 2017

This research explores two key facets of behavior (reward point accrual and redemption) that consist of a loyalty program. It focuses on assessing the impact of accrual effort level on three types of redemption behavior: speed, unit size, and hedonic preference at the individual level by using large scale transaction data from a multi-vendor loyalty program providing flexible environment for point accrual and redemption. Findings from this research demonstrate that customers tend 1) to speed up point redemption, 2) to enlarge the size of redeemed points, and 3) to prefer utilitarian rewards as the level of effort at the accrual stage of reward point increases.

• 한국수자원학회논문집
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• 제32권3호
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• pp.291-300
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• 1999

하천치수를 고려한 프랙탈 차원의 개념을 실제 강우-유출 모형에 적용시키는 방안으로써 스나이더 합성단위유량 도법을 택하였으며, 5대강 수계의 29개 유역에 대한 지형자료와 관측단위유량도 자료를 이용하여 4가지 형태의 스나이더형 관계식을 유도하였다. 29개 유역에 대한 분석과 2개 유역에 대한 검증 결과 하천길이의 프랙탈적인 성질을 이용하고 기계산된 자료는 기계산된 값을 이용하는 스나이더형 관계식이 가장 좋은 결과를 보여주었다. 하천차수 유역중심에서 출구까지의 하천길이( Lca )중 Lca 는 프랙탈적인 성질이 없고 유역중심의 상류에 해당하는 주하천 구간인 ( Lma - Lca )만이 1.027의 프랙탈 차원을 갖는다는 가정을 하였으며, 이를 이용하여 우리날 수계를 대표 할 수 있으며 작업대상 지형도축척에 의해 발생하는 하천길이의 프랙탈적인 영향을 고려할 수 있는 새로운 스나이더형 공식을 제안하였다.

• 한국물환경학회지
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• 제23권4호
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• pp.429-433
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• 2007

Many researchers have made a study of NPS unit-loads and the scientific evaluation method which need for formulating and enforcing a Total Maximum Daily Load (TMDL) management system and modifying a pollutant discharge loadings function. Some showed the event mean concentration (EMC) on single land-use. For the most parts, as the results showed on multiple land-uses, those cannot be used for NPS unit-loads calculation. NPS runoff shows various phenomena depending on rainfall monitoring data, therefore sampling methods and frequency for NPS monitoring must be different from the general monitoring for water quality trend assessment.

• 통합자연과학논문집
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• 제14권4호
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• pp.197-204
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• 2021

Under the two-phase warranty, the warranty period is divided into two intervals, one of which is for renewing replacement warranty, and the other is for minimal repair warranty. Jung^[13] discusses the two types of extended two-phase warranty models. In this paper, we suggest the replacement model after the extended two-phase warranty that has been proposed by Jung^[13]. To determine the optimal replacement policy, we adopt the expected cost rate per unit time. So, the expressions for the total expected cost, the expected length of the cycle and the expected cost rate per unit time from the user's point of view are derived. Also, we discuss the optimal replacement policy and the uniqueness of the solution for the optimization. Furthermore, the numerical examples are provided to illustrate the proposed the replacement model.

• 통합자연과학논문집
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• 제17권2호
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• pp.43-51
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• 2024

Jung et al.(2015) suggest the two-phase warranty model, which is a general type of warranty model. Under the two-phase warranty, the warranty period is divided into two intervals, one of which is for renewing replacement warranty, and the other is for minimal repair warranty. And warranty policies play a very important role in product marketing. In this paper, we suggest the optimal warranty policy for free extended two-phase warranty. To determine the optimal warranty period, we adopt the expected profit per unit product. So, the expressions for the total expected cost, the sale price and the expected profit per unit product from the manufacturer's point of view are derived. Also, we discuss the optimal warranty period and the numerical examples are provided to illustrate the proposed the warranty policy.

• 로봇학회논문지
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• 제11권3호
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• pp.115-126
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• 2016

This paper suggests the method of the spherical signature description of 3D point clouds taken from the laser range scanner on the ground vehicle. Based on the spherical signature description of each point, the extractor of significant environmental features is learned by the Deep Belief Nets for the urban structure classification. Arbitrary point among the 3D point cloud can represents its signature in its sky surface by using several neighborhood points. The unit spherical surface centered on that point can be considered to accumulate the evidence of each angular tessellation. According to a kind of point area such as wall, ground, tree, car, and so on, the results of spherical signature description look so different each other. These data can be applied into the Deep Belief Nets, which is one of the Deep Neural Networks, for learning the environmental feature extractor. With this learned feature extractor, 3D points can be classified due to its urban structures well. Experimental results prove that the proposed method based on the spherical signature description and the Deep Belief Nets is suitable for the mobile robots in terms of the classification accuracy.

• 한국우주과학회:학술대회논문집(한국우주과학회보)
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• 한국우주과학회 2004년도 한국우주과학회보 제13권2호
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• pp.296-299
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• 2004

KARI precision attitude determination system has been developed for high accurate geo-coding of KOMPSAT-2 image. Sensor data from two star trackers and a IRU are used as measurement and dynamic data. Sensor data from star tracker are composed of QUEST and unit vector filter. Filter algorithms consists of extended Kalman filter, unscented Kalman filter, and least square batch filter. The type of sensor data and filter algorithm can be chosen by user options. Estimated parameters are Euler angle from 12000 frame to optical bench frame, gyro drift rate bias, gyro scale factor, misalignment angle of star tracker coordinate frame with respect to optical bench frame, and misalignment angle of gyro coordinate frame with respect to optical bench frame. In particular, ground control point data can be applied for estimating misalignment angle of star tracker coordinate frame. Through the simulation, KPADS is able to satisfy the KOMPSAT-2 mission requirement in which geo-location accuracy of image is 80 m (CE90) without ground control point.

• 한국도로학회논문집
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• 제9권4호
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• pp.185-192
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• 2007

최근의 환경정책은 신설되는 도로에 대하여 비점오염저감시설 설치의무화를 요구하고 있다. 또한 도로건설시 및 유지관리시에는 발생가능한 비점오염물질을 예측하고 이를 저감할 수 있는 방향으로 노선의 계획 및 설계와 더불어 다양한 비점저감방안을 수립할 것을 요구하고 있다. 비점오염원 및 비점오염물질을 관리하기 위해서는 우선 유역의 토지이용도를 분석하여 강우시 배출되는 오염물질의 종류와 양을 산정해야 한다. 특히 도로의 경우, 발생되는 비점오염물질의 원단위가 별도로 존재하지 않고 대지항목의 오염발생원단위를 사용하고 있기에 적용함에 있어서 많은 어려움을 겪고 있는 실정이다. 따라서 본 연구는 포장지역 중 고속도로 영업소를 대상으로 강우시 유출되는 강우유출수의 특성을 파악하여, 이러한 토지이용에서의 비점오염물질 유출특성과 부하량을 산정하고자 한다. 영업소 토지이용의 경우 많은 차량이 속도를 급격히 줄이는 토지이용지역으로 브레이크 패드, 각종 오일 및 엔진파트 등으로부터 많은 양의 오염물질이 축적되고, 포장률이 높아 강우시 다량의 오염물질이 유출되는 지역이다. 본 연구를 통해서 영업소 토지이용지역에서의 초기강우현상을 수리수문 및 농도곡선을 통해 확인할 수 있었다. 또한 EMC로부터 단위면적당 부하량과 강우지속시간당 부하량을 산정하였으며, 이러한 값은 영업소 유지관리시 인근수계에의 환경적인 영향을 해석하기 위한 기초자료로 활용될 수 있다. 강우지속시간당 유출되는 평균부하량은 TSS의 경우 $533.7mg/m^2-hr$, COD $396.2mg/m^2-hr$, TN $17.0mg/m^2-hr$, TP $4.8mg/m^2-hr$로 산정되었다.