• Journal of Communications and Networks
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• v.12 no.4
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• pp.289-307
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• 2010

The problem of model selection arises in a number of contexts, such as subset selection in linear regression, estimation of structures in graphical models, and signal denoising. This paper studies non-asymptotic model selection for the general case of arbitrary (random or deterministic) design matrices and arbitrary nonzero entries of the signal. In this regard, it generalizes the notion of incoherence in the existing literature on model selection and introduces two fundamental measures of coherence-termed as the worst-case coherence and the average coherence-among the columns of a design matrix. It utilizes these two measures of coherence to provide an in-depth analysis of a simple, model-order agnostic one-step thresholding (OST) algorithm for model selection and proves that OST is feasible for exact as well as partial model selection as long as the design matrix obeys an easily verifiable property, which is termed as the coherence property. One of the key insights offered by the ensuing analysis in this regard is that OST can successfully carry out model selection even when methods based on convex optimization such as the lasso fail due to the rank deficiency of the submatrices of the design matrix. In addition, the paper establishes that if the design matrix has reasonably small worst-case and average coherence then OST performs near-optimally when either (i) the energy of any nonzero entry of the signal is close to the average signal energy per nonzero entry or (ii) the signal-to-noise ratio in the measurement system is not too high. Finally, two other key contributions of the paper are that (i) it provides bounds on the average coherence of Gaussian matrices and Gabor frames, and (ii) it extends the results on model selection using OST to low-complexity, model-order agnostic recovery of sparse signals with arbitrary nonzero entries. In particular, this part of the analysis in the paper implies that an Alltop Gabor frame together with OST can successfully carry out model selection and recovery of sparse signals irrespective of the phases of the nonzero entries even if the number of nonzero entries scales almost linearly with the number of rows of the Alltop Gabor frame.

• Korean Security Journal
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• no.12
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• pp.177-200
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• 2006

This research result that analysis as following. First, difference that keep in mind partially as result that verify difference of job-stress by demography special qualitys that is common people guard's society and turnover intention appeared. Second, result that analyze relation with job-stress and turnover intention, displayed statical correlation in job environment. Third, result that keep in mind as statistical as result that verify effect that common people guard's job-stress gets to turnover intention appeared. During is job-stress variable, was expose that exert effect that keep in mind to turnover intention job surrounding and job special quality. Suggestion point through this research as following be. To raise common people guard's job-stress and turnover intention. system improvement strategy about social estimation etc.. is effective, and do on the basis of this and may have to establish common people guard's enhancing morale plan strategy, low complement that can exert negative impact in change of post for example, line of duty that it is seldom competence, daytime that can elicit common people guards' job satisfaction. Is in visual point that activation of continuous research is leaned against by depth interview and review through qualitative research was insufficient relatively in virtue research so far in research after.

• Korean Journal of Applied Biomechanics
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• v.16 no.3
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• pp.137-148
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• 2006

The purpose of this study was to compare muscle activity in the lower extremity during walking wearing jogging and roller shoes. Twelve male middle school students (age: 15.0 yrs, height 173.7 cm, weight 587.7 N) who have no known musculoskeletal disorders were recruited as the subjects. Seven pairs of surface electrodes (QEMG8, Laxtha Korea, gain = 1,000, input impedance >$1012{\Omega}$, CMMR >100 dB) were attached to the right-hand side of the body to monitor the rectus femoris (RF), vastus medialis (VM), vastus lateralis (VL), biceps femoris (BF), tibialis anterior (TA), and medial (GM) and lateral gastrocnemius (GL) while subjects walked wearing roller and jogging shoes in random order at a speed of 1.1 m/s. An event sync unit with a bright LED light was used to synchronize the video and EMG recordings. EMG data were filtered using a 10 Hz to 350 Hz Butterworth band-passdigital filter and further normalized to the respective maximum voluntary isometric contraction EMG levels. For each trial being analyzed, five critical instants and four phases were identified from the recording. Averaged IEMG and peak IEMG were determined for each trial. For each dependent variable, paired t-test was performed to test if significant difference existed between shoe conditions (p<.05). The VM, TA, BF, and GM activities during the initial double limb stance and the initial single limb stance reduced significantly when going from jogging shoe to roller shoe condition. The decrease in EMG levels in those muscles indicated that the subjects locked the ankle and knee joints in an awkward fashion to compensate for the imbalance. Muscle activity in the GM for the roller shoe condition was significantly greater than the corresponding value for the jogging shoe condition during the terminal double limb stance and the terminal single limb stance. Because the subjects tried to keep their upper body weight in front of the hip to prevent falling backward, the GM activity for the roller shoe condition increased. It seems that there are differences in muscle activity between roller shoe and jogging shoe conditions. The differences in EMG pattern may be caused primarily by the altered position of ankle, knee, and center of mass throughout the walking cycle. Future studies should examine joint kinematics during walking with roller shoes.

• Korean Journal of Construction Engineering and Management
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• v.6 no.4 s.26
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• pp.80-90
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• 2005

Activity durations retain probabilistic and stochastic natures due to diverse factors causing the delay or acceleration of activity completion. These natures make the final project duration to be a random variable. These factors are the major source of financial risk. Extending the Stochastic Project Scheduling Simulation system (SPSS) developed in previous research; this research presents a method to estimate how the final project duration behaves when activity durations change randomly. The final project cost is estimated by considering the fluctuation of indirect cost, which occurs due to the delay or acceleration of activity completion, along with direct cost assigned to an activity. The final project cost is estimated by considering how indirect cost behaves when activity duration change. The method quantifies the amount of contingency to cover the expected delay of project delivery. It is based on the quantitative analysis to obtain the descriptive statistics from the simulation outputs (final project durations). Existing deterministic scheduling method apply an arbitrary figures to the amount of delay contingency with uncertainty. However, the stochastic method developed in this research allows computing the amount of delay contingency with certainty and certain degree of confidence. An example project is used to illustrate the quantitative analysis method using simulation. When the statistical location and shape of probability distribution functions defining activity durations change, how the final project duration and cost behave are ascertained using automated sensitivity analysis method

• Journal of the Korean Data and Information Science Society
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• v.26 no.1
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• pp.65-75
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• 2015

This paper analyzes the determinants of wage for the college and university graduates utilizing both individual-level and industry-level variables. We note that wage determination has multi-level structure in the sense that individual wage is influenced by individual-level variables (level-1) and industry-level (level-2) variables. Then, the assumption that individual wage is independent in the classical regression is violated. Therefore, this paper utilizes the hierarchical linear model (HLM). The major results are the followings. First, the multiple correspondence analysis including level-1 and 2 variables reveals that both level 1 and level 2 variables affects individual wages judging from the fact that the values of level 1 and level 2 variables differ across the different level of individual wage groups. Second, the decision tree analysis including level-1 and 2 variables shows that the most influential variable in wage determination is industry-level wage and the next is industry-level working hour, ages and sex in the decling order in. This suggests that the utilization of the HLM is appropriate since the characteristics of industry is important in determining the individual wage. Third, it is shown that the HLM model is the best compared to the other models which do not take level-1 and level-2 variables simultaneously into account.

• Journal of Korean Academy of Nursing
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• v.22 no.4
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• pp.526-551
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• 1992

The purpose of this study was to identify the commonalities of various nursing interventions and effective intervention methods in each intervention through analysis and synthesis of many accumulated research papers. The study analyzed the effects of various nursing interventions on anxiety and /or stress. For this purpose, 64 experimental studies with randomized or nonequivalent control group pre-test-posttest design were selected from journals of medical and nursing schools, the Korean Nurse, the Korean Nurses' Academic Society Journal, the Cetnral Journal of Medicine, the New Medical Journal, the Nurse Monthly, and from theses and dissertations conducted from 1970 to 1991. The selected studies nor classified according to three characteristics : 1) the research samuel, 2) types and methods of nursing interventions, and 3) statistical tests. The following analysis was done : 1) Confirmation of the accuracy of data drawn from each study by paired review, 2) Estimation of the homogenity of pre-test scores of the dependent variable between control and experimental groups warranted the effect size of post-scores, 3) If the homogenity of pre-test scores did not warrant, the change scores from pre-test to post-test were used to estimate the effect size, 4) Use of the effect size of each study among homogenious studies was tested for each intervention method, such as relaxation, information, and touch and /or support. Finally, for the studies not showing homogenity, an ANOVA test was used to identify patterns for each intervention. Some findings are summarized as follow : The effect sizes for relaxation and information were greater than those for touch and /or supportive technique. Studies using random assignment had greater effect sizes than nonrandomized sample studies using the same intervention. For healthy people, group education was more effective than individual teaching. However, for patients, relaxation and touch and /or supportive techniques given on individual basis were more effective than when given in a group situation. Measuring anxiety and stress by biological indicators was less effective than by self-report. Budzynski's relaxation method was the most effective. The more frequently the techniques applied, the larger the effect size. On the bases of these findings, the following recommendations were made : 1. A combination of information, relaxtion, and touch-supportive techniques should be used for greater effect in reducing the level of anxiety and /or stress. 2. Information is the first choice of intervention to reduce the level of anxiety and /or stress of healthy People : other interventions may be added depending on the conditions of the subjects.

• Geophysics and Geophysical Exploration
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• v.19 no.1
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• pp.11-19
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• 2016

Two representative residual static methods of traveltime decomposition and stack-power maximization are discussed in terms of application to land seismic data. For the model data with synthetic shot/receiver statics (time shift) applied and random noises added, continuities of reflection event are much improved by stack-power maximization method, resulting the derived time-shifts approximately equal to the synthetic statics. Optimal parameters (maximum allowable shift, correlation window, iteration number) for residual statics are effectively chosen with diagnostic displays of CSP (common shot point) stack and CRP (common receiver point) stack as well as CMP gather. In addition to removal of long-wavelength time shift by refraction statics, prior to residual statics, processing steps of f-k filter, predictive deconvolution and time variant spectral whitening are employed to attenuate noises and thereby to minimize the error during the correlation process. The reflectors including horizontal layer of reservoir are more clearly shown in the variable-density section through repicking the velocities after residual statics and inverse NMO correction.

• Korean Security Journal
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• no.14
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• pp.125-140
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• 2007

This study was to analyze structural equation modeling of organizational culture, human resource management and organization performance in the private security corporation. To attain the goal of the study described above paragraphs, the employee of private security corporation located in Seoul, 2006 year were set as a collected group. Then, using the cluster random sampling method, finally drew out 300 peoples and analyzed 250 peoples in total. The material collection device was the brochure named . The validity of instrument was confirmed by confirmatory factor analysis(CFA) The result of reliability check up was here below; Chronbach' ${\alpha}=.724$. To analyze materials, correlation analysis, CFA, SEM were used as statistic analysis techniques. The conclusion based on above study method and the result of material analysis are follows; First, organizational culture influences on the human resource management. Second, organizational culture influences on the organizational performance. Third, human resource management influences on the organizational performance. Particularly, organizational culture influences indirectly on organizational performance throughout human resource management. Human resource management is very important variable mediating organizational culture and performance.

• Convergence Security Journal
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• v.15 no.1
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• pp.37-47
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• 2015

This study aims at exploring effects of airport special guard's security service value on customers' satisfaction and customers' loyalty. Users of airport facilities located in Incheon were selected as the population in Jun. 2013 and the sample was extracted using cluster random sampling and 460 people were used for a final analysis. The questionnaire used for the study was composed of total 22 items including 6 items of socio-demographical characteristics, 6 items of security service value, 6 items of customers' satisfaction and 4 items of customers' loyalty etc. and using SPSSWIN 18.0, factor analysis, reliability analysis, multiple regression analysis, path analysis etc. were used. The credibility of the questionnaire was indicated to be over ${\alpha}$=.809. The findings are as follows. First, security service value has an effect on customers' satisfaction. if monetary value is enhanced, satisfaction with service composition is high. second, security service value has an effect on customers' loyalty. If monetary value and time value are enhanced, will of continuous use and will of recommendation of others are high. Third, customers' satisfaction has an effect on customers' loyalty. If satisfaction with service composition and satisfaction with use decision are increased, will of continuous use and will of recommendation of others are high. Fourth, airport special guard's security service value has a direct and indirect effect on customers' satisfaction and customers' loyalty. That is, it means customers' satisfaction is an important variable to mediate security service value and customers' loyalty.

• The Journal of the Korea Contents Association
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• v.7 no.12
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• pp.167-178
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• 2007

This study is to examine the relationship between leisure constraints, participation in Sports for All and subjective happiness among private guards. To attain the goal of the study described above paragraphs, private guards held in Seoul were set as a collected group. Then, using cluster random sampling method, finally drewout and analyzed 193 peoples in total. The result of reliability analysis check up was here below; Chronbach's ${\alpha}=\;.725$. The conclusion drawn from this study is as follows: First, leisure constraints influences on the participation experience in Sports for All. Second, leisure constraints influences on the participation degree in Sports for All. The increase of leisure constraints in peripheral aspects results in the decrease of participation term of Sports for All. And the increase of leisure constraints in individual, peripheral aspects results in of participation intensity in Sports for All. Third, leisure constraints influences on subjective happiness. Fourth, leisure constraints results in the retributive effect on participation in Sports for All and subjective happiness. Namely, leisure constraints results in the indirect effect on subjective happiness through the participation in Sports for All is an important variable intermediating the relationship between leisure constraints and subjective happiness.