• Science of Emotion and Sensibility
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• v.21 no.1
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• pp.71-82
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• 2018

Stress involves changes in behavior, autonomic function and the secretion of hormones. Autonomic nervous system (ANS) contributes to physiological adaptive process in short durations. In particular, heart rate variability (HRV) analysis is commonly used as a quantitative marker depicting the ANS activity related to mental stress. The aim of this study is to investigate correlations between psychological responses to stress and HRV indices induced by the cognitive stressor. Thirty-three participants rated their mental and physical symptoms occurred during the past two weeks on Stress Response Inventory (SRI), which is composed of seven stress factors that may influence the status of mental stress levels. Then, they underwent the psychophysiological procedures, which are collected electrocardiogram (ECG) signals during a cognitive stress task. HRV indices, the standard deviation of R-R interval (SDNN), root mean square of successive R-R interval difference (RMSSD) and low frequency (LF)/high frequency (HF) ratio were extracted from ECG signals. Physiological responses were calculated stress responses by subtracting mean of the baseline from the mean of recovery. Stress factors such as tension, aggression, depression, fatigue, and frustration were positively correlated to HRV indices. In particular, aggression had significant positive correlations to SDNN, RMSSD and LF/HF ratio. Increased aggressive responses to stress correlated with the increases of all HRV indices. This means the increased autonomic coactivation. Additionally, tension, depression, fatigue, and frustration were positively associated with RMSSD reflecting increases in parasympathetic activation. The autonomic coactivation may represent an integrated response to specific cognitive reactions such as the orienting response.

• Korean Journal of Occupational Health Nursing
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• v.8 no.1
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• pp.56-67
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• 1999

This study was designed to identify the relationships of role-conflict and role-overload, coping strategies, and stress response of clerical workers. The subjects were 115 clerical workers from two company. The instruments were the role-conflict and role-overload scale developed by Lee(1989), coping scale developed by Latack(1986), and the stress response scale developed by Chang(1993). Analysis of data was done by descriptive statistics, Cronbach's $\alpha$, Pearson correlation coefficietnt, ANOVA. The results of this study were summarized as follows ; 1. The average score for the level of stress response was $83.6({\pm}9.1)$. The high risk stress group was 86.1% of the clerical workers, the latent stress group members was 13.9%, and healthy group was 0%. The overall stress level was very high. 2. Considering the coping strategies by sociodemographic factors, the use of control coping strategies showed significant differences by work-time. The use of symptom management coping strategies showed significant differences by sex, age, married status, year of career, pay, and type of work. The organizational coping strategies showed significant differences by year of education and type of work. 3. The clerical workers who had worked below 44 hours per week complained significantly lower stress response(F=4.942, p<.05). 4. Above 65% of all respondents answered that they needed all of organizational level coping strategies. 5. The role-confilct positively related to escape and organizational level coping strategies(r=.562, r=.495, p<.05). The role-overload didn't related to individual level coping strategies, but positively related to organizational level coping strategies(r=.320, p<.05). 6. The control coping strategies and the escape coping strategies positively related to symptom management, organizational level coping strategies(r=.409, r=.324, r=.316, r=.339, p<.05). 7. The relationship between role-related stress and stress response revealed positive correlation(r=.482, r=.431, p<.05), and the relationship between stress response and control, symptom management coping strategies revealed negative cor-relation(r=-.3204, r=-.3146, p<.05). In conclusion, this study revealed that relationship of role related stress, coping strategies, stress response was statistically significant. The result of this study support that coping strategies vary across situation of stress. Based on survey results, future studies should consider coping strategies in specific stress situation and concept of symptom management coping strategy. Also organizational or training interventions could be developed and initiate to help to increase the use of adaptive coping strategies in light of individual and situational differences.

• Journal of Korea Water Resources Association
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• v.46 no.12
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• pp.1249-1263
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• 2013

In order to minimize the damages caused by long-term drought, appropriate drought management plans of the basin should be established with the drought forecasting technology. Further, in order to build reasonable adaptive measurement for future drought, the duration and severity of drought must be predicted quantitatively in advance. Thus, this study, attempts to forecast drought in Korea by using an Artificial Neural Network Model, and drought index, which are the representative statistical approach most frequently used for hydrological time series forecasting. SPI (Standardized Precipitation Index) for major weather stations in Korea, estimated using observed historical precipitation, was used as input variables to the MLP (Multi Layer Perceptron) Neural Network model. Data set from 1976 to 2000 was selected as the training period for the parameter calibration and data from 2001 to 2010 was set as the validation period for the drought forecast. The optimal model for drought forecast determined by training process was applied to drought forecast using SPI (3), SPI (6) and SPI (12) over different forecasting lead time (1 to 6 months). Drought forecast with SPI (3) shows good result only in case of 1 month forecast lead time, SPI (6) shows good accordance with observed data for 1-3 months forecast lead time and SPI (12) shows relatively good results in case of up to 1~5 months forecast lead time. The analysis of this study shows that SPI (3) can be used for only 1-month short-term drought forecast. SPI (6) and SPI (12) have advantage over long-term drought forecast for 3~5 months lead time.

• Journal of the Korean Association of Geographic Information Studies
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• v.19 no.2
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• pp.1-13
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• 2016

In an effort to establish adaptive measures for low carbon use and climate change, this study developed storylines for shared socio-economic reference pathways(SSP) and simulated change in land use for each storyline. First, cellular automata modeling was performed using past data, and a transition rule for the local characteristics of each planning area under study was derived by comparing with the results of the base year. Second, three storylines were formulated based on the hypothesized change in land use for the SSP. SSP1, the scenario for sustainability, assumed that the land was developed into a compact city, SSP2 assumed the development of a road through the middle of the land while maintaining the current situation, and SSP3 assumed unsustainable development into a fragmented world. Third, change in land use depending on planning area was predicted by integrating the SSP scenarios with cellular automata(CA) modeling. According to the results of analysis using the SSP scenarios, the urban area ratio increased slightly up to 2020 in SSP1 and up to 2030 in SSP2 and did not change any more subsequently, but it increased continuously until 2050 in SSP3 that assumed low level urban planning. These results on change in land use are expected to contribute towards making reasonable decisions and policies on climate change, and the outcomes of simulation derived from spatial downscaling, if applied to vulnerability assessment, will be useful to set the priority of policies on climate change adaptation.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.12 no.3
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• pp.391-400
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• 2001

In this paper, the performance of a multicarrier CDMA system applying M-ary orthogonal signaling and adaptive subchannel allocation scheme is analyzed for forward links in Rayleigh fading channel. Also, the effect of error caused by subchannel allocation is analyzed. In the proposed system, each DS waveform is transmitted over the subchannel having the biggest fading among L subchannels. Considering M-ary orthogonal signaling and 4 subchannels, the BER of $10^{-3}$ is satisfied if SNRs are 7.33 dB, 5.33 dB, and 4.47 dB for k = 1, 2, and 3, respectively. Therefore, SNR is decreased as k is increased. If the error of subchannels exists, the BER of $10^{-3}$ is met if SNR is 8.18 dB in the absence of M-ary orthogonal signaling. So, a required SNR is declined about 0.85 dB. Adding the M-ary orthogonal signaling with k = 4, it is observed that the multicarrier CDMA system has performance improvement because a required SNR is 5.44 dB.

• Journal of Internet of Things and Convergence
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• v.6 no.2
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• pp.73-86
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• 2020

This study examines the North Korean defectors' economic and psychological adjustment status in South Korean society focusing on the specificity of North Korean defectors with the social integration perspective. We conducted a questionnaire survey of 225 North Korean defectors in Seoul and Gyeonggi-do and conducted analysis using the SPSS 22.0 program. The results of the study are as follows. First, the economic adaptation of North Korean defectors was evaluated to be generally low. Second, North Korean refugees' psychological and social adjustment status is generally lower than average, especially cultural adaptation stress, friendship, and satisfaction with physical and mental health. Third, the psychological and cultural adaptation strategy and social support of defectors affected the life satisfaction positively and the adaptation stress had significant negative impact on life satisfaction. Therefore, strategies which reducing adaptive stress and enhancing psychological and cultural adaptation strategies are needed to be implemented in South Korean society. Based on results, policy alternatives were discussed.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.05a
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• pp.519-522
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• 2017

In this paper, we propose an algorithm for an alternative method using the clustering algorithm in a system that needs classification to extract individual user context information. In the conventional user classification system, the user has to input his own information. In this paper, we will research and develop a system applying a clustering algorithm which can extract user 's perceived information applying the improved algorithm for user management base. Generally, the algorithm that distinguishes users with the same data makes sure that recorded information matches the newly entered information, and then responds accordingly. However, it is troublesome to manually input information of the new user. Therefore, in this paper, we propose a method to distinguish users by using the clustering algorithm based on the analyzed data from the working memory in the accumulated system without directly inputting the user information. The study shows that the management method applied to the applied algorithm is more adaptive in environments where the number of people is different from that of the existing system (as a subjective observer test method).

• Korean Journal of Environment and Ecology
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• v.20 no.4
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• pp.448-463
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• 2006

This study analyzed the changes in vegetation structure of Quercus mongolica communities, Pinus densiflora communities, Robinia pseudo-acacia communities and Pinus rigida communities for the last 11 years$(1994{\sim}2005)$ to provide basic data for ecological restoration. We studied the vegetation structure of four communities within a plot$(unit:\;1,200m^2)$) and concluded that Canopy Layer continuously preserved and expanded existing superior species, Understory Layer grew Styrax japonica which is highly adaptive to urban environment, and Shrub Layer grew more Stephanandra incise. An analysis on species diversity indicated that Quercus mongolica communities$(1.0921{\rightarrow}1.0381{\rightarrow}1.0633)$, Pin us densiflora communities$(0.7071{\rightarrow}0.8553{\rightarrow}1.0164)$, and Robinia pseudo-acacia communities$(0.9255{\rightarrow}0.8392{\rightarrow}0.8721)$ sharply decreased in 1998 and are gradually increasing these days. Also, Pinus rigida communities decreased from 0.9008 in 1998 to 0.8850 in 2005. Fluctuation in numbers of species and trees were similar. Acidity of soil was $4.34{\sim}5.31$ and improved compared to 20 years ago.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.31 no.2D
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• pp.217-225
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• 2011

Currently our country has very serious problems of traffic congestion and urban environment due to increasing automobile ownership. Recently, our concern about environmentally sustainable transportation and green transportation is increasing, so the government is pushing ahead the policy of bicycle using activation. So it is needed to develop a model to analyze the service level of bicycle roads more realistically. In this study, a neuro-fuzzy inference model to analyze the service level of bicycle roads was built selecting the width of bicycle roads, the number of conflicts during cycling and pedestrian volume, which have fuzzy characteristics, as input variables. The predictability of the model was evaluated comparing the surveyed and the estimated. The values of the statistics, $R^2$, MAE and MSE were 0.987, 0.142, 0.032. Therefore, It may be judged that the explainability of the model is very high. The service levels of bicyle roads estimated by the model are 1~3 steps lower than KHCM assessments. The reason may be explained that the model estimates the service level considering the width of bicycle roads and the number of conflicts simultaneously besides pedestrian volume.

• Journal of the Institute of Electronics and Information Engineers
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• v.51 no.7
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• pp.157-168
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• 2014

We propose an novel artificial visual attention model that is capable of automatic detection and segmentation of saliency region on natural images in this paper. The proposed model is based on human visual perceptions in biological vision and contains there are main contributions. Firstly, we propose a novel framework of artificial visual attention model based on the opponent process theory using intensity and color features, and an entropy filter is designed to perceive salient regions considering the amount of information from intensity and color feature channels. The entropy filter is able to detect and segment salient regions in high segmentation accuracy and precision. Lastly, we also propose an adaptive combination method to generate a final saliency map. This method estimates scores about intensity and color conspicuous maps from each perception model and combines the conspicuous maps with weight derived from scores. In evaluation of saliency map by ROC analysis, the AUC of proposed model as 0.9256 approximately improved 15% whereas the AUC of previous state-of-the-art models as 0.7824. And in evaluation of salient region segmentation, the F-beta of proposed model as 0.7325 approximately improved 22% whereas the F-beta of previous state-of-the-art models.