• Smart Structures and Systems
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• 제19권1호
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• pp.21-31
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• 2017

To control the stochastic vibration of a vibration-sensitive instrument supported on a beam, the beam is designed as a sandwich structure with magneto-rheological visco-elastomer (MRVE) core. The MRVE has dynamic properties such as stiffness and damping adjustable by applied magnetic fields. To achieve better vibration control effectiveness, the optimal bounded parametric control for the MRVE sandwich beam with supported mass under stochastic and deterministic support motion excitations is proposed, and the stochastic and shock vibration suppression capability of the optimally controlled beam with multi-mode coupling is studied. The dynamic behavior of MRVE core is described by the visco-elastic Kelvin-Voigt model with a controllable parameter dependent on applied magnetic fields, and the parameter is considered as an active bounded control. The partial differential equations for horizontal and vertical coupling motions of the sandwich beam are obtained and converted into the multi-mode coupling vibration equations with the bounded nonlinear parametric control according to the Galerkin method. The vibration equations and corresponding performance index construct the optimal bounded parametric control problem. Then the dynamical programming equation for the control problem is derived based on the dynamical programming principle. The optimal bounded parametric control law is obtained by solving the programming equation with the bounded control constraint. The controlled vibration responses of the MRVE sandwich beam under stochastic and shock excitations are obtained by substituting the optimal bounded control into the vibration equations and solving them. The further remarkable vibration suppression capability of the optimal bounded control compared with the passive control and the influence of the control parameters on the stochastic vibration suppression effectiveness are illustrated with numerical results. The proposed optimal bounded parametric control strategy is applicable to smart visco-elastic composite structures under deterministic and stochastic excitations for improving vibration control effectiveness.

• 소프트웨어공학소사이어티 논문지
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• 제26권1호
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• pp.1-16
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• 2013

가변 길이 정보 메시지는 컴퓨터 네트워크 시스템을 통하여 효율적인 정보 제공을 하기 위하여 개발된 통신 프로토콜 표준이다. 이러한 가변 길이 정보 메시지는 정보 수신자의 정보 요구 수준 및 정보 수신자의 정보 접근 수준에 따라 정보의 상세함을 가변적으로 조절 할 수 있도록 설계된 메시지이다. 정보 메시지 최적화 기술은 정보 메시지를 다양한 데이터 압축 기술을 사용하여, 메시지 전체의 물리적인 사이즈를 줄이려고 노력하였다. 정보 메시지 최적화에서는 정보의 정확성을 최우선으로 고려하고 있어, 최적화 전/후가 동일한 비손실 압축 기법을 응용하여 사용하고 있다. 하지만, 이러한 비손실 압축 기법만을 사용하면, 압축효율성이 현저하게 떨어져, 제한된 대역폭을 갖는 무선 네트워크 환경에서의 효율적인 전송이 이루어지지 않는다. 본 논문에서는 가변 길이 정보 메시지를 대상으로, 메시지 필드 단위로 정보의 최적화를 수행하여 메시지의 길이를 물리적으로 좀 더 효과적으로 최적화하도록 시도하였다. 또한, 본 논문에서 제시한 최적화 방법의 효율성을 보이기 위하여, 가변 길이 정보 메시지에 대한 최적화 실험을 수행하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권12호
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• pp.5744-5764
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• 2018

In Wireless Sensor Networks (WSNs) for Internet of Things (IoT) environment, fault tolerance is a most fundamental issue due to strict energy constraint of sensor node. In this paper, a robust energy saving data dissemination protocol for IoT-WSNs is proposed. Minimized energy consumption and dissemination delay time based on signal strength play an important role in our scheme. The representative dissemination protocol SPIN (Sensor Protocols for Information via Negotiation) overcomes overlapped data problem of the classical Flooding scheme. However, SPIN never considers distance between nodes, thus the issue of dissemination energy consumption is becoming more important problem. In order to minimize the energy consumption, the shortest path between sensors should be considered to disseminate the data through the entire IoT-WSNs. SPMS (Shortest Path Mined SPIN) scheme creates routing tables using Bellman Ford method and forwards data through a multi-hop manner to optimize power consumption and delay time. Due to these properties, it is very hard to avoid heavy traffic when routing information is updated. Additionally, a node failure of SPMS would be caused by frequently using some sensors on the shortest path, thus network lifetime might be shortened quickly. In contrast, our scheme is resilient to these failures because it employs energy aware concept. The dissemination delay time of the proposed protocol without a routing table is similar to that of shortest path-based SPMS. In addition, our protocol does not require routing table, which needs a lot of control packets, thus it prevents excessive control message generation. Finally, the proposed scheme outperforms previous schemes in terms of data transmission success ratio, therefore our protocol could be appropriate for IoT-WSNs environment.

• 대한건축학회논문집:계획계
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• 제35권11호
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• pp.117-128
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• 2019

The necessity of the Toi-Maru has increased greatly in order to enter to the building or to move conveniently in the building after the mid-Joseon period, when the combination of On-dol Ma-ru began to be universally used. According to this process, the 3-Dori type upper structure is thought to have undergone the typological changed by securing a more stable space of Toi-Maru In cases where a relatively large girder was used, it is often the case that the space is divided using a pillar to place a Toi-Maru on the front. However, it is difficult to find a case where the width of the Toi-Maru exceeds 1meter due to its structural limit. The type that made additional Toi-girder to overcome the spatial constraint of this structure and replaced the method of former typology after Mid-Jpseon period. In case of 5-Dori type, Toi-Maru installed in between high post and Toi post in early period. In these type, the width of Toi-Maru was subordinated by the location of milled Dori of roof structure and sometimes it became too excessive. 5-Dori type with Pyon-ju occurred to overcome these restriction between the width of Toi-Maru and the location of milled Dori of roof structure. Not a few remains of Mid-Jpseon period keeping the evidences of changing process of roof structure provoked by Toi-Maru installation. The consistent process of Toi-Maru installation and structural adjustment will be focused to consider the attempt to spatial requirement and architectural reaction in Mid-Joseon perid.

• Nutrition Research and Practice
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• 제15권1호
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• pp.95-105
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• 2021

BACKGROUND/OBJECTIVES: The measurement of body composition, including muscle and fat mass, remains challenging in large epidemiological studies due to time constraint and cost when using accurate modalities. Therefore, this study aimed to develop and validate prediction equations according to sex to measure lean body mass (LBM), appendicular skeletal muscle mass (ASM), and body fat mass (BFM) using anthropometric measurement, serum creatinine level, and lifestyle factors as independent variables and dual-energy X-ray absorptiometry as the reference method. SUBJECTS/METHODS: A sample of the Korean general adult population (men: 7,599; women: 10,009) from the Korean National Health and Nutrition Examination Survey 2008-2011 was included in this study. The participants were divided into the derivation and validation groups via a random number generator (with a ratio of 70:30). The prediction equations were developed using a series of multivariable linear regressions and validated using the Bland-Altman plot and intraclass correlation coefficient (ICC). RESULTS: The initial and practical equations that included age, height, weight, and waist circumference had a different predictive ability for LBM (men: R2 = 0.85, standard error of estimate [SEE] = 2.7 kg; women: R2 = 0.78, SEE = 2.2 kg), ASM (men: R2 = 0.81, SEE = 1.6 kg; women: R2 = 0.71, SEE = 1.2 kg), and BFM (men: R2 = 0.74, SEE = 2.7 kg; women: R2 = 0.83, SEE = 2.2 kg) according to sex. Compared with the first prediction equation, the addition of other factors, including serum creatinine level, physical activity, smoking status, and alcohol use, resulted in an R2 that is higher by 0.01 and SEE that is lower by 0.1. CONCLUSIONS: All equations had low bias, moderate agreement based on the Bland-Altman plot, and high ICC, and this result showed that these equations can be further applied to other epidemiologic studies.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권11호
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• pp.4268-4289
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• 2020

Advanced traffic signal timing method plays very important role in reducing road congestion and air pollution. Reinforcement learning is considered as superior approach to build traffic light timing scheme by many recent studies. It fulfills real adaptive control by the means of taking real-time traffic information as state, and adjusting traffic light scheme as action. However, existing works behave inefficient in complex intersections and they are lack of feasibility because most of them adopt traffic light scheme whose phase sequence is flexible. To address these issues, a novel adaptive traffic signal timing scheme is proposed. It's based on actor-critic reinforcement learning algorithm, and advanced techniques proximal policy optimization and generalized advantage estimation are integrated. In particular, a new kind of reward function and a simplified form of state representation are carefully defined, and they facilitate to improve the learning efficiency and reduce the computational complexity, respectively. Meanwhile, a fixed phase sequence signal scheme is derived, and constraint on the variations of successive phase durations is introduced, which enhances its feasibility and robustness in field applications. The proposed scheme is verified through field-data-based experiments in both medium and high traffic density scenarios. Simulation results exhibit remarkable improvement in traffic performance as well as the learning efficiency comparing with the existing reinforcement learning-based methods such as 3DQN and DDQN.

• 한국정보통신학회논문지
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• 제23권12호
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• pp.1485-1491
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• 2019

오늘날 생체신호의 종류 및 크기가 방대해짐에 따라 생체신호를 빅데이터로 정의하고 이를 분석하고자 하는 연구가 활발히 진행되고 있다. 하지만 생체신호를 빅데이터로 처리함에 있어 소셜 네트워크에서 발생하는 빅데이터 처리와 비슷한 방법을 이용하고 있다. 생체신호 빅데이터는 특징값을 추출하여 이를 별도로 저장하고 다양한 분석기기로 분석할 수 있어야 한다. 즉 데이터의 상호운용성과 호환성이 보장되어야 하며 분석도구에서의 지표 표현이 간결해야 한다. 이를 위하여 본 논문에서는 생체신호를 표준화된 HL7의 표준 메타모델기반으로 표현하고 OMG의 표준 수학적 명세 언어인 OCL을 이용하여 생체신호를 분석하는 모델을 제안한다. 또한 제안한 모델을 이용하여 심전도 데이터를 이용한 칼로리 소모량을 구해봄으로써 활용 가능성을 확인한다.

• 융합정보논문지
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• 제11권8호
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• pp.8-13
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• 2021

스마트공장 제조 환경에서 조직성과를 평가하는 지표 중의 하나인 원가지표를 측정하기 위한 성과측정도구로서 초변동원가회계시스템을 제안하고자 함이 본 연구의 목적이다. 설문조사에 의한 경험적 연구를 수행하였으며 가설 검증을 위하여 60명의 전문가를 대상으로 조사하였다. 조사결과 초변동원가를 기반으로 제공하는 정보가 원가측정과 조직성과 효율성 및 효과를 평가하는데 도움이 된다는 결론을 도출하였으며 이러한 방법은 계획 및 통제 프로세스를 지원하는 유용성이 있다는 점이 확인되었다. 제조공정에서의 처리량을 최대화하고 재고수준을 최적화할 수 있는 제약이론에 의한 초변동원가계산을 이용하면 조직성과의 효율성과 효과에 영향을 미치는 병목현상에 대한 해결책을 찾을 수 있음을 제안한다.

• Current Optics and Photonics
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• 제5권4호
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• pp.431-443
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• 2021

Sparse unmixing has been proven to be an effective method for hyperspectral unmixing. Hyperspectral images contain rich spectral and spatial information. The means to make full use of spectral information, spatial information, and enhanced sparsity constraints are the main research directions to improve the accuracy of sparse unmixing. However, many algorithms only focus on one or two of these factors, because it is difficult to construct an unmixing model that considers all three factors. To address this issue, a novel algorithm called multiview-based spectral weighted and low-rank row-sparsity unmixing is proposed. A multiview data set is generated through spectral partitioning, and then spectral weighting is imposed on it to exploit the abundant spectral information. The row-sparsity approach, which controls the sparsity by the l_2,0 norm, outperforms the single-sparsity approach in many scenarios. Many algorithms use convex relaxation methods to solve the l_2,0 norm to avoid the NP-hard problem, but this will reduce sparsity and unmixing accuracy. In this paper, a row-hard-threshold function is introduced to solve the l_2,0 norm directly, which guarantees the sparsity of the results. The high spatial correlation of hyperspectral images is associated with low column rank; therefore, the low-rank constraint is adopted to utilize spatial information. Experiments with simulated and real data prove that the proposed algorithm can obtain better unmixing results.

• 한국콘텐츠학회논문지
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• 제22권3호
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• pp.54-61
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• 2022

선박은 다양한 파이프 배관을 필요로 하는 거대한 시스템에 해당한다. 내부의 복잡한 파이프를 배치하는 것은 설계 도면을 따라 진행되지만, 실제 현장에서는 측정 및 시공 오차에 의해 파이프간 체결 위치가 서로 맞지 않는 경우가 다수 발생하게 된다. 이러한 경우, 연결할 양쪽 파이프의 위치를 측정하여 어긋난 위치를 보정하는 파이프 체결부를 새로 설계하여 연결작업을 완료하게 된다. 본 연구는 이러한 오차를 가진 파이프 체결 공정을 기술적 접근을 통해 보완하고자 한다. RGBD 센서의 질점 정보를 이용하여 파이프 위치를 측정하고 양쪽 파이프간의 상대적 위치, 방향의 틀어짐을 로봇의 역기구학으로 해석하여 체결부 파이프의 외관을 보정, 설계하는 방법론을 제시하고자 한다. 파이프의 위치 측정을 위한 질점기반의 정합 과정 및 확률 기반 접근론인 RANSAC을 이용하여 파이프의 좌표계를 추정하고 실험을 통해 제시한 방법의 정확도를 논하고자 한다. 또한 파이프 체결부 설계를 위해 최소한의 자유도를 이용하여 연결가능한 기구학적 정보의 추출 방법론을 다루고자 한다.