• Journal of the Korean Institute of Educational Facilities
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• v.12 no.6
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• pp.18-25
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• 2005

The purpose of this study is to investigate cognitive gap between users and architectural experts for architectural planning of elementary schools to support effective decision-makings. For this study, each architectural factor was selected from the journals published by Korean Institute of Education Facilities(KIEF) from 2000 to 2004. Among these factors, the priority planning factors were decided through Analytic Hierarchy Process(AHP). The results of this study showed users' emphasis on the amenities of physical environment such as orientation, ventilation, noise, view, but experts' preference on spatial composition of space and function such as orientation, circulation, zoning, parking lot, courtyard. This difference shows clear cognitive gaps between two groups and also suggests factors required to be considered to develop effective decision-making in elementary school planning.

• Journal of the Korean earth science society
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• v.32 no.6
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• pp.613-628
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• 2011

Restoration, prediction and noise analysis of geomagnetic data measured in the Korean Peninsula were performed. Restoration methods based on an optimized principal component analysis (PCA) and the geostatistical kriging approach were proposed, and its effectiveness was also interpreted. The PCA-based method seemed to be effective to restore the periodical signals and the geostatistical approach was stable to fill the gaps of measurements. To analyze the noise level for each observatory, the geomagnetic time-series was plotted by scattergram which reflects the spatial variation, using data observed during same period. The scattergram showed that the observation made at Cheongyang seemed to have better quality in spatial continuity and stability, and the restoration result was also better than that of Icheon site. For the restoration, both of the methods, geostatistical and optimizaed PCA, showed stable result when the missing of observation was within 20 points. However, in case of more missing observations than 20 points and prediction problem, the optimized PCA seemed to be closer to the real observation considering the frequency-domain characteristics. The prediction using the optimized PCA seems to be plausible for one day of period for interpretation.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.5 no.11
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• pp.1959-1975
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• 2011

Adaptive Bit Loading (ABL) in Multiple-Input Multiple-Output Orthogonal Frequency-Division Multiplexing (MIMO-OFDM) is often used to achieve the desired Bit Error Rate (BER) performance in wireless systems. In this paper, we discuss some of the bit loading algorithms, compare them in terms of the BER performance, and present an effective and concise Adaptive Grouped Loading (AGL) algorithm. Furthermore, we propose a "weight factor" for loading algorithm to converge rapidly to the final solution for various data rate with variable Signal to Noise Ratio (SNR) gaps. In particular, we consider the bit loading in near optimal Singular Value Decomposition (SVD) based MIMO-OFDM system. While using SVD based system, the system requires perfect Channel State Information (CSI) of channel transfer function at the transmitter. This scenario of SVD based system is taken as an ideal case for the comparison of loading algorithms and to show the actual enhancement achievable by our AGL algorithm. Irrespective of the CSI requirement imposed by the mode of the system itself, ABL demands high level of feedback. Grouped Loading (GL) would reduce the feedback requirement depending upon the group size. However, this also leads to considerable degradation in BER performance. In our AGL algorithm, groups are formed with a number of consecutive sub-channels belonging to the same transmit antenna, with individual gains satisfying predefined criteria. Simulation results show that the proposed "weight factor" leads a loading algorithm to rapid convergence for various data rates with variable SNR gap values and AGL requires much lesser CSI compared to GL for the same BER performance.

• Journal of Advanced Navigation Technology
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• v.26 no.6
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• pp.522-527
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• 2022

Object tracking is a field of signal processing that sequentially tracks the location of an object based on the previous-time location estimations and the present-time observation data. In this paper, we propose an adaptive scaling neural network that can track and adjust the scale of the input data with three recursive neural network (RNN) submodules. To evaluate object tracking performance, we compare the proposed system with the Kalman filter and the maximum likelihood object tracking scheme under an one-dimensional object movement model in which the object moves with piecewise constant acceleration. We show that the proposed scheme is generally better, in terms of root mean square error (RMSE) performance, than maximum likelihood scheme and Kalman filter and that the performance gaps grow with increased observation noise.

• 한국지구물리탐사학회:학술대회논문집
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• 2006.06a
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• pp.9-14
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• 2006

Estimations of depth, magnetic orientation, and strength of dipole moments aid discrimination between unexploded ordnance (UXO) and non-UXO using magnetic surveys. Such estimations may be hindered by geologic noise, magnetic clutter, and overlapping tails of nearby dipole fields. An improved method of inversion for anomalies of single or multiple dipoles with arbitrary polarization was developed to include intra-inversion filtering and estimation of background field gradients. Data interpolated to grids are flagged so that only nodes nearest to measurement stations are used. To apply intra-inversion filtering to such data requires a gapped filter. Moreover, for data with significant gaps in coverage, or along the edges or corners of survey areas, intra-inversion filters must be appropriately modified. To that end, edge-adaptive and gapped gradient-nulling filters have been designed and tested. Applications are shown for magnetic field data from Chongcho Lake, Sokcho, Korea and the U. S. Army's Aberdeen Proving Ground in Maryland.

• Journal of Korean Society of Transportation
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• v.26 no.4
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• pp.241-250
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• 2008

With the ever-growing amount of traffic, there is an increasing need for good quality travel time information. Various existing outlier filtering and missing data imputation algorithms using AVI data for interrupted and uninterrupted traffic flow have been proposed. This paper is devoted to development of an outlier filtering and missing data imputation algorithm by using Toll Collection System (TCS) data. TCS travel time data collected from August to September 2007 were employed. Travel time data from TCS are made out of records of every passing vehicle; these data have potential for providing real-time travel time information. However, the authors found that as the distance between entry tollgates and exit tollgates increases, the variance of travel time also increases. Also, time gaps appeared in the case of long distances between tollgates. Finally, the authors propose a new method for making representative values after removal of abnormal and "noise" data and after analyzing existing methods. The proposed algorithm is effective.

• Journal of Arbitration Studies
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• v.21 no.3
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• pp.89-114
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• 2011

Environmental disputes not only possess the special characteristics of collectivity and plural value relativity but it also possesses the unique features of difficulty to prove cause and effect as well as the structural maldistribution of evidence and information. Therefore, the positive resolution of an environmental dispute can be brought about more easily with the Alternative Dispute Resolution (ADR) which can take the form of talks, compromises, as well as arbitration or mediation rather than through a trial process. Such being the case, this paper first looks into the problems and effectiveness of the arbitration system of environmental lawsuits and then takes an even closer look at Korea's environmental dispute arbitration system and finally offer some reform methods. In Korea, the environmental dispute arbitration system was implemented in 1991 and has been executed since then. Although this system does have positive features such as the high rate of coming to an agreement between the involved parties but unfortunately, most of the cases rely on decisions based on right and wrong which cannot but be far away from the intentions of the ADR system. It is heavily centered around claims regarding psychological compensation regarding noise and vibrations and the ratio of the actual amount of compensation is comparatively lower than the requested amount. In addition, with the limits in organization and manpower, it leads to a lack of professionalism as well as the problem of low usage with the low awareness rate. As reform measures against the aforementioned problems, this paper suggests the following. First, in order to activate the arbitration process more fully, it proposes aggressive usage of compulsory arbitration as well as submission to arbitration, while at the same time raising ADR professionals to fill in the missing gaps. Secondly, in order to overcome the problem of concentration of related cases, making representative lawsuits of environmental organizations would be a good idea. It also states that in order to make the compensation amount more realistic, it should go out of the across-the-board decision making process and reach a decision about the compensation amount that takes the individual situation's dispute into consideration. In order to boost the professionalism of the environmental dispute arbitration, it is necessary to reform the organization and manpower such as expanding the number of members of full standing, and increasing the professionalism of the examiners. Also, to increase the usage rate of the ADR system, the paper suggests stationing a civilian consultant regarding environment, or activating the compulsory arbitration which is the premise for public participation on the part of the residents.