• 한국조경학회지
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• 제30권6호
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• pp.38-46
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• 2003

Perceived crowding is known as a necessary method to evaluate social carrying capacity in recreational settings. But according to the results of previous research, perceived crowding, use density, and satisfaction have shown weak and indirect correlations. The theory of visitors’ adjustment is one of several possible explanations for this poor relation. But the validity of the visitors’ adjustment theory has not been not inspected clearly. Therefore, the purposes of this study are to understand visitors’ adjustment theory and to examine visitors’ adjustment to the overuse of recreational settings. Study hypotheses were formulated through literature review and related to visitors’ adjustment in recreation density. Pour hypotheses were established and inspected with the case study, i.e., Rationalization : Visitors’ satisfaction isn't related to use density in recreation setting, 2) Product-shift : Preference norm is related to current use density, 3) Self-selection : Visitors’ satisfaction for the use level is generally high, and 4) Displacement : Norm interference is related to willingness to revisit. The case study was conducted during May and June,2001. According to the results of this survey, visitors adjust to overuse of recreation setting through rationalization and product shift (hypotheses l/2 acceptance). Current use density isn't related to visitors’ satisfaction and willingness to revisit (see table 3). And visitors’ preference norm is modified by situation (see table 4). Visitors’ satisfaction and willingness to revisit don't show a high correlation but moderately high (see table 5, hypothesis 3 acceptance). Differences between visitors’ preference norm and current use density is norm interference. Norm interference isn't related to willingness to revisit (see table 7). Therefore, the norm interference concept is not a useful method to explain visitors’ adjustment to the degree of overuse in a recreational setting (hypothesis 4 rejection). As for future directions, the following are proposed: 1) correctly understanding and reestablishing the visitor norm and norm interference concept, 2) introducing a composite research method to monitor visitors’ behavior and survey visitors’ attitudes and coping responses. These efforts would be helpful in the Planning and management of recreational settings to improve the quality of visitors’ experiences.

• 대한의용생체공학회:의공학회지
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• 제24권5호
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• pp.459-464
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• 2003

심자도 신호로부터 전류원의 분포를 복원하는 알고리듬을 구성하고 이를 WPW 증후군 환자에 대해 적용하여 임상적 유용성을 검토하였다. 40 채널 superconducting quantum interference device (SQUID) 미분계를 이용하여 심자도를 측정하고 minimum norm estimation (MNE) 알고리듬과 truncated singular value decomposition (SVD)을 적용하여 2 차원 평면에서의 전류원 분포를 구하였으며. 전류원의 분포가 실제 전류원의 정보를 잘 반영하고 있음을 시뮬레이션으로 확인하였다. 또한 좌심방과 좌심실 사이에 부전도로를 가진 WPW 증후군 환자의 심자도를 측정하여 수술 전후의 전류원 분포를 비교한 결과 수술 전에는 부전도로를 통한 비정상전류의 흐름을 볼 수 있었으나 부전도로를 절제한 후에는 더 이상 볼 수 없었다. 이 결과는 심자도 선호로부터 구한 전류원 분포가 심장의 전기 활동을 잘 반영하고 있으며 임상적으로 유용하게 활용 될 수 있음을 보여준다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권3호
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• pp.1403-1417
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• 2019

With the rapid growth of multimedia data, research on cross-media feature learning has significance in many applications, such as multimedia search and recommendation. Existing methods are sensitive to noise and edge information in multimedia data. In this paper, we propose a semi-supervised method for cross-media feature learning by means of $L_{2,q}$ norm to improve the performance of cross-media retrieval, which is more robust and efficient than the previous ones. In our method, noise and edge information have less effect on the results of cross-media retrieval and the dynamic patch information of multimedia data is employed to increase the accuracy of cross-media retrieval. Our method can reduce the interference of noise and edge information and achieve fast convergence. Extensive experiments on the XMedia dataset illustrate that our method has better performance than the state-of-the-art methods.

• 한국산림과학회지
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• 제85권4호
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• pp.647-655
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• 1996

본 연구는 휴양지에서 휴양객들이 갖는 기대, 규범, 휴양동기가 상충인지에 어떻게 영향을 미치는 가에 대하여 조사하였다. 연구 데이터는 1994년 8월중에 설문조사를 통하여 지리산국립공원 내에 위치한 제2야영장에서 수집되었다. 배포된 총 280 설문중 253(90.4%)부가 본 연구에 유효하게 이용되었다. 응답자의 약 82%가 다른 야영객들이 밤늦게 부르는 노래소리에 의해 상충감을 느낀 것으로 나타났다. 본 연구의 결과에 의하면, 상충인지는 휴양객의 기대, 규범과 휴양동기가 다른 사람들의 상충되는 행동에 의해 방해될 때 발생되며 이러한 사실은 기존의 이론에 부합되는 것이다. 관련변수를 이용한 다중회귀분석에서 고독/자연과의 접촉을 위한 휴양동기는 규범충돌인자나 기대충돌인자보다 상충인지에 대한 설명력이 높음이 확인되었다. 하지만 각 변수의 상층인지를 설명하는 능력은 휴양동기의 종류, 규범, 기대, 그리고 상충언지를 측정하는 방법에 따라 달라질 수 있다. 이와 같은 결과를 휴양자원의 관리적 관점에서 토의했다.

• 한국음향학회지
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• 제40권2호
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• pp.109-120
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• 2021

본 논문은 고밀도 클러터 환경 비선형 표적에 대해서 수동소나 자동표적추적 자료결합 게이트를 강인하게 적용하기 위한 H∞ 놈 기반의 자료결합 게이트 기법을 제안한다. 표적추적을 위한 자료결합 기법은 유효 측정 범위인 유효 게이트 내에 있는 측정치를 자료결합의 후보대상으로 선택한다. 자료결합에서의 유효 게이트 범위가 적정하지 않거나 고밀도 클러터 환경에서 자료결합이 수행되면, 클러터 측정치의 간섭을 더욱 받게 되어 표적추적의 강인성을 유지하기 어렵다. 이러한 문제를 해결하기 위해서, 본 논문은 가우시안 분포 가정 및 추적 오차 공분산 기반의 기존 3-σ 게이트 기법에 H∞ 놈 기반의 이분법 알고리즘을 결합하여 적용한 새로운 게이팅 기법을 제안한다. 제안 기법은 클러터의 간섭을 완화시키고, 비선형 기동표적을 견실하게 추적하게 한다. 해석적인 분석 방법과 수평방위 및 수직방위의 측정치를 모의한 신호를 활용한 시뮬레이션을 통해 자료결합의 강인함이 기존 기법에 대비하여 향상됨을 확인하였다.

• Journal of electromagnetic engineering and science
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• 제11권2호
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• pp.71-75
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• 2011

The sum-rate maximization rule can find an optimal user set that maximizes the sum capacity in multiple input multiple output (MIMO) broadcast channels (BCs), but the search space for finding the optimal user set becomes prohibitively large as the number of users increases. The proposed algorithm selects a user set of the largest effective channel norms based on statistical channel state information (CSI) for reducing the computational complexity, and uses Tomlinson-Harashima precoding (THP) for minimizing the interference between selected users in time-varying MIMO BCs.

• Journal of Communications and Networks
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• 제11권4호
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• pp.350-358
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• 2009

In a wireless sensor network (WSN) setting, this paper presents a distributed decision-making framework and illustrates its application in an online structural health monitoring (SHM) system. The objective is to recover a damage severity vector, which identifies, localizes, and quantifies damages in a structure, via distributive and collaborative decision-making among wireless sensors. Observing the fact that damages are generally scarce in a structure, this paper develops a nonlinear 0-norm minimization formulation to recover the sparse damage severity vector, then relaxes it to a linear and distributively tractable one. An optimal algorithm based on the alternating direction method of multipliers (ADMM) and a heuristic distributed linear programming (DLP) algorithm are proposed to estimate the damage severity vector distributively. By limiting sensors to exchange information among neighboring sensors, the distributed decision-making algorithms reduce communication costs, thus alleviate the channel interference and prolong the network lifetime. Simulation results in monitoring a steel frame structure prove the effectiveness of the proposed algorithms.

• International journal of advanced smart convergence
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• 제7권4호
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• pp.92-100
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• 2018

This paper presents a link adaptation scheme for adaptive full duplex (AFD) systems. The signal modulation levels and communication link patterns are adaptively selected according to the changing channel conditions. The link pattern selection process consists of two successive steps such as a transmit-receive antenna pair selection based on maximum sum rate or minimum maximum symbol error rate, and an adaptive modulation based on maximum minimum norm. In AFD systems, the antennas of both nodes are jointly determined with modulation levels depending on the channel conditions. An adaptive algorithm with relatively low complexity is also proposed to select the link parameters. Simulation results show that the proposed AFD system offers significant bit error rate (BER) performance improvement compared with conventional full duplex systems with perfect or imperfect self-interference cancellation under the same fixed sum rate.

• Journal of Communications and Networks
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• 제13권3호
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• pp.232-239
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• 2011

This paper investigates the user selection problem of successive zero-forcing precoded multiuser multiple-input multiple-output (MU-MIMO) downlink systems, in which the base station and mobile receivers are equipped with multiple antennas. Assuming full knowledge of the channel state information at the transmitter, dirty paper coding (DPC) is an optimal precoding strategy, but practical implementation is difficult because of its excessive complexity. As a suboptimal DPC solution, successive zero-forcing DPC (SZF-DPC) was recently proposed; it employs partial interference cancellation at the transmitter with dirty paper encoding. Because of a dimensionality constraint, the base station may select a subset of users to serve in order to maximize the total throughput. The exhaustive search algorithm is optimal; however, its computational complexity is prohibitive. In this paper, we develop two low-complexity user scheduling algorithms to maximize the sum rate capacity of MU-MIMO systems with SZF-DPC. Both algorithms add one user at a time. The first algorithm selects the user with the maximum product of the maximum column norm and maximum eigenvalue. The second algorithm selects the user with the maximum product of the minimum column norm and minimum eigenvalue. Simulation results demonstrate that the second algorithm achieves a performance similar to that of a previously proposed capacity-based selection algorithm at a high signal-to-noise (SNR), and the first algorithm achieves performance very similar to that of a capacity-based algorithm at a low SNR, but both do so with much lower complexity.

• Structural Engineering and Mechanics
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• 제52권1호
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• pp.19-33
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• 2014

Structural robustness refers to the ability of a structure to avoid disproportionate consequences to the original cause. Currently attentions focus on the concepts of structural robustness, and discussions on methods of robustness based structural design are rare. Firstly, taking basis in robust $H_{\infty}$ control theory, structural robustness is assessed by $H_{\infty}$ norm of the system transfer function. Then using the SIMP material model, robustness based design of grid structures is formulated as a continuum topology optimization problem, where the relative density of each element and structural robustness are considered as the design variable and the optimization objective respectively. Generalized elitist genetic algorithm is used to solve the optimization problem. As examples, robustness configurations of plane stress model and the rectangular hyperbolic shell model were obtained by robustness based structural design. Finally, two models of single-layer grid structures were designed by conventional and robustness based method respectively. Different interference scenarios were simulated by static and impact experiments, and robustness of the models were analyzed and compared. The results show that the $H_{\infty}$ structural robustness index can indicate whether the structural response is proportional to the original cause. Robustness based structural design improves structural robustness effectively, and it can provide a conceptual design in the initial stage of structural design.