• KIPS Transactions on Software and Data Engineering
• /
• v.12 no.1
• /
• pp.19-30
• /
• 2023

An electric scooter(e-scooter), one popularized micro-mobility vehicle has shown rapidly increasing use in many cities. In South Korea, the use of e-scooters has greatly increased, as some companies have launched e-scooter sharing services in a few large cities, starting with Seoul in 2018. However, the use of e-scooters is still controversial because of issues such as parking and safety. Since the perception toward the means of transportation affects the mode choice, it is necessary to track the trends for electric scooters to make the use of e-scooters more active. Hence, this study aimed to analyze the trends related to e-scooters. For this purpose, we analyzed news articles related to e-scooters published from 2014 to 2020 using dynamic topic modeling to extract issues and sentiment analysis to investigate how the degree of positive and negative opinions in news articles had changed. As a result of topic modeling, it was possible to extract three different topics related to micro-mobility technologies, shared e-scooter services, and regulations for micro-mobility, and the proportion of the topic for regulations for micro-mobility increased as shared e-scooter services increased in recent years. In addition, the top positive words included quick, enjoyable, and easy, whereas the top negative words included threat, complaint, and ilegal, which implies that people satisfied with the convenience of e-scooter or e-scooter sharing services, but safety and parking issues should be addressed for micro-mobility services to become more active. In conclusion, this study was able to understand how issues and social trends related to e-scooters have changed, and to determine the issues that need to be addressed. Moreover, it is expected that the research framework using dynamic topic modeling and sentiment analysis will be helpful in determining social trends on various areas.

• Journal of muscle and joint health
• /
• v.6 no.1
• /
• pp.100-135
• /
• 1999

Typical symptoms of rheumatic disease affect overall daily living and cause severe stress. Individuals afflicted with rheumatic disease have many illness-related stresses. Pain was the predominantly perceived stress followed by limitation in mobility, difficulties in carrying out activities of daily living. helplessness, dependency on others, threat to self-esteem, interference in social activity, interference in family relationships. difficulties performing at work, and discomfort of the treatment. Patients with chronic arthritis are subjected to long periods of continuous stress, which may require the management by the health care provider. In these cases, the purpose of the nursing is helping to promote health through supporting patient's coping. Therefore, for the nursing intervention to be effective, it is critical to build a theoretical framework that describes stress-coping for chronic arthritis. Thus, the purpose of this dissertation is to present a theoretical framework which describes the stress-coping processes and to empirically test pathos of this framework for the people with chronic arthritis. The foundation upon which this framework is built in the Erickson, Tomlin, and Swain(1983) theory of Modeling and role-Modeling. The subjects were 275 patients with rheumatoid arthritis or osteoarthritis who visited the outpatient clinic. A hypothetical model of stress-coping was tested by covariance structure analysis with PC-LISREL 8.12 program. As a result, the overall fit was good(Chi-square=94.49, P=0.00, RMR=0.067, GFI=0.95, AGFI=0.91, NNFI=0.93, NFI=0.91) for the hypothetical model. The results of hypothesis testing were as follows : Basic need satisfaction had a statistically significant influence on illness-related experience, emotional stress and coping resources. Internal health locus of control had a statistically significant influence on coping resources. However, independent variables(basic need satisfaction, internal health locus of control, illness-related experience, emotional stress and coping resource) did not have significantly influence on coping. And then, the hypothetical model was modified by considering both the theoretical implication and statistical significance of the parameter estimates. The revised model had a better fit to the data(Chi-square=83.11(P=0.00), RMR=0.061, GFI=0.96, AGFI=0.92, NNFI=0.95, NFI=0.92). Hypothesis emerged from the revised model was tested. The results of hypothesis testing were as follows : Basic need satisfaction had a statistically significant influence on illness-related experience, emotional stress and coping resources. Internal health locus of control had a statistically significant influence on illness-related experience and coping resources. Internal health locus of control, illness-related experience, emotional stress and coping resources had a significantly influence on coping. According to the results of this dissertation, basic need satisfaction and internal health locus of control play a central role in appraisal of illness-related experience and coping resources. And illness related-experience, emotional stress, and coping resources affect on coping activities. In summary, nursing interventions to enhance basic need satisfaction and internal health locus of control will decrease illness related experience and emotional stress and increase coping resources. Increased coping resources will prompt coping activities.

• Journal of Digital Convergence
• /
• v.16 no.2
• /
• pp.117-126
• /
• 2018

The threat to information security is growing globally. To this, organizations are increasing the weight of adapting and operating the more specialized information security policy and system. Information security requires participation from the employees who execute the security system and policy, and to increase the level of organization's internal security, requires organization's systematic support to improve employees' information security compliance intention. This research finds the mechanism for improving employee's information security compliance intention by applying justice theory and goal setting theory in information security. We use structural equation modeling to verify the research hypothesis, and conducted a survey on the employees of organization with information security policy. In other words, this research performs verification of the research model based hypothesis which claims that security policy goal setting has positive influence on employee's level of security related justice recognition, and claims that justice has positive influence on compliance intention. The object of study is the employees of the organization that adapts information security policy, and 383 valid samples were collected via survey. Structural equation modeling was performed to verify the research hypothesis. The result shows that security policy goal factor (goal difficulty, goal specificity) improves employee's security related justice recognition, and that security related justice (distribution, process, and information justice) has positive influence on compliance intention. The result suggests the strategic approach directions for improving employees' compliance intention on organization's security policy.

• Journal of the Korea Society for Simulation
• /
• v.32 no.3
• /
• pp.55-66
• /
• 2023

In recent years, naval vessels have been developed to fulfill a variety of missions by being equipped with various cutting-edge equipment and ICT technologies. One of the main missions of Korean naval vessels is anti-ballistic missile warfare to defend key units and areas against the growing threat of ballistic missiles. Because the process of detection and interception is too complex and the cost of failure is much high, a lot of preparation is required to effectively conduct anti-ballistic missile warfare. This paper describes the development of a simulation model of anti-ballistic missile warfare with combat systems and equipment to be installed on future naval vessels. In particular, the DEVS formalism providing a modular and hierarchical modeling manner was applied to the simulation model, which can be utilized to efficiently represent various anti-ballistic missile warfare situations. In the simulation results presented, experiments were conducted to analyze the effectiveness of the model for effective detection resource management in anti-ballistic missile warfare. This study is expected to be utilized as a variety of analysis tools necessary to determine the optimal deployment and configuration of combat resources and operational tactics required for effective anti-ballistic missile warfare of ships in the future.

• Earthquakes and Structures
• /
• v.24 no.6
• /
• pp.455-475
• /
• 2023

The present study investigates the non-linear soil-pile interaction using three-dimensional (3D) non-linear finite element models. The numerical models were validated by using the results of extensive pile load and shaking table tests. The pile performance in liquefiable and non-liquefiable soil has been studied by analyzing the liquefaction ratio, pile lateral displacement (LD), pile bending moment (BM), and frictional resistance (FR) results. The pile models have been developed for the different ground conditions. The study reveals that the results obtained during the pile load test and shaking cycles have good agreement with the predicted pile and soil response. The soil density, peak ground acceleration (PGA), slenderness ratio (L/D), and soil condition (i.e., dry and saturated) are considered during modeling. Four ground motions are used for the non-linear time history analyses. Consequently, design charts are proposed depended on the analysis results to be used for design practice. Eleven models have been used to validate the capability of these charts to capture the soil-pile response under different seismic intensities. The results of the present study demonstrate that L/D ratio slightly affects the lateral displacement when compared with other parameters. Also, it has been observed that the increasing in PGA and decreasing L/D decreases the excess pore water pressure ratio; i.e., increasing PGA from 0.1 g to 0.82 g of loose sand model, decrease the liquefaction ratio by about 50%, and increasing L/D from 15 to 75 of the similar models (under Kobe earthquake), increase this ratio by about 30%. This study reveals that the lateral displacement increases nonlinearly under both dry and saturated conditions as the PGA increases. Similarly, it is observed that the BM increases under both dry and saturated states as the L/D ratio increases. Regarding the acceleration histories, the pile BM was reduced by reducing the acceleration intensity. Hence, the pile BM decreased to about 31% when the applied ground motion switched from Kobe (PGA=0.82 g) to Ali Algharbi (PGA=0.10 g). This study reveals that the soil conditions affect the relationship pattern between the FR and the PGA. Also, this research could be helpful in understanding the threat of earthquakes in different ground characteristics.

• Korean Journal of Agricultural and Forest Meteorology
• /
• v.18 no.4
• /
• pp.307-319
• /
• 2016

A Land-Atmosphere Modeling Package (LAMP) for supporting agricultural and forest management was developed at the National Center for AgroMeteorology (NCAM). The package is comprised of two components; one is the Weather Research and Forecasting modeling system (WRF) coupled with Noah-Multiparameterization options (Noah-MP) Land Surface Model (LSM) and the other is an offline one-dimensional LSM. The objective of this paper is to briefly describe the two components of the NCAM-LAMP and to evaluate their initial performance. The coupled WRF/Noah-MP system is configured with a parent domain over East Asia and three nested domains with a finest horizontal grid size of 810 m. The innermost domain covers two Gwangneung deciduous and coniferous KoFlux sites (GDK and GCK). The model is integrated for about 8 days with the initial and boundary conditions taken from the National Centers for Environmental Prediction (NCEP) Final Analysis (FNL) data. The verification variables are 2-m air temperature, 10-m wind, 2-m humidity, and surface precipitation for the WRF/Noah-MP coupled system. Skill scores are calculated for each domain and two dynamic vegetation options using the difference between the observed data from the Korea Meteorological Administration (KMA) and the simulated data from the WRF/Noah-MP coupled system. The accuracy of precipitation simulation is examined using a contingency table that is made up of the Probability of Detection (POD) and the Equitable Threat Score (ETS). The standalone LSM simulation is conducted for one year with the original settings and is compared with the KoFlux site observation for net radiation, sensible heat flux, latent heat flux, and soil moisture variables. According to results, the innermost domain (810 m resolution) among all domains showed the minimum root mean square error for 2-m air temperature, 10-m wind, and 2-m humidity. Turning on the dynamic vegetation had a tendency of reducing 10-m wind simulation errors in all domains. The first nested domain (7,290 m resolution) showed the highest precipitation score, but showed little advantage compared with using the dynamic vegetation. On the other hand, the offline one-dimensional Noah-MP LSM simulation captured the site observed pattern and magnitude of radiative fluxes and soil moisture, and it left room for further improvement through supplementing the model input of leaf area index and finding a proper combination of model physics.

• Korean Journal of Construction Engineering and Management
• /
• v.13 no.6
• /
• pp.153-164
• /
• 2012

Since the sub-prime mortgage crisis from the US in 2008, Korean housing market has plummeted. However, Korean local lease contract, Chonsei, price has been increasing. This increase of Chonsei price can be a threat to the low-income people because most of them prefer to live at the house with a Chonsei contract. In order to solve this problem, the Korean Government implemented several Chonsei policies to secure low-incomers' residence by decreasing the price of Chonsei; however, due to the lack of understanding on housing and Chonsei market, Korean government policy seemed to fail on getting effective results. In the housing and Chonsei market, there are many stakeholders with their own interest, hence, simple thoughts about housing and Chonsei market, such as more house supply will decrease house price, would not work in a real complex housing market. In this research, we suggests system dynamics conceptual model which consists of causal-loop-diagrams for the Chonsei market as well as the housing market. In addition, we tries to explain why the policy did not work effectively using the examples from the government's past measures. In results, Chonsei price has its own homeostasis characteristic and different price movement with housing price in the short and long term period. Unless government does not have a structural causation mind in implementing policies in the real estate market, the government may not attain intended effectiveness on both markets.

• Korean Journal of Agricultural Science
• /
• v.44 no.4
• /
• pp.463-476
• /
• 2017

Climate change is considered as the greatest threat to our future and descendants. The Korean government has set a target for 2030 to reduce emission of greenhouse gases (GHGs) by 37% from the business-as-usual levels which are projected to reach 851 million metric tons of $CO_2eq$ (Carbon dioxide equivalent). In Korea, GHGs emission from agriculture account for almost 3.1% of the total of anthropogenic GHGs. The GHGs emitted from agricultural land are largely classified into three types: carbon dioxide ($CO_2$), methane ($CH_4$), and nitrous oxide ($N_2O$). In Korea, rice paddies are one of the largest agricultural $CH_4$ sources. In order to analyze domestic research trends related to $CH_4$ emission from rice paddies, 93 academic publications including peer reviewed journals, books, working papers, reports, etc., published from 1995 to September 2017, were critically reviewed. The results were classified according to the research purposes. $CH_4$ characteristics and assessment were found to account for approximately 65.9% of the research trends, development of $CH_4$ emission factors for 9.5%, $CH_4$ emission reduction technology for 14.8%, and $CH_4$ emission modeling for 6.3%, etc. A number of research related to $CH_4$ emission characteristics and assessment have been studied in recent years, whereas further study on $CH_4$ emission factors are required to determine an accurate country-specific GHG emission from rice paddies. Future research should be directed toward both studies for reducing the release of $CH_4$ from rice paddies to the atmosphere and the understanding of the major controlling factors affecting $CH_4$ emission.

• Proceedings of the Korean Society of Near Infrared Spectroscopy Conference
• /
• 2001.06a
• /
• pp.1257-1257
• /
• 2001

Fourier transform near infrared (FT-NIR) spectroscopy was used as a rapid method to measure the $^{o}Brix$ content and to discriminate between different must samples in terms of their fee amino nitrogen (FAN) values. FT-NIR spectroscopy was also used as a rapid method to discriminate between Chardonnay wine samples in terms of the status of the male-lactic fermentation (MLF). This was done by monitoring the conversion of malic to lactic acid and thereby determining whether MLF has started, is underway or has been completed followed by classification of the samples. Furthermore, FT-NIR spectroscopy was applied as a rapid method to discriminate between table wine samples in terms of the ethyl carbamate (EC) content. EC in wine can pose a health threat and need to be monitored by determining the EC content in relation to the regulatory limits set by the authorities. For each of the above mentioned parameters, $QUANT+^{TM}$ methods were built and calibrations derived and it was found that a very strong correlation existed in the sample set for the FT-NIR spectroscopic predictions of $^{o}Brix$ (r = 0.99, SECV = 0.306), but the correlations for the FAN (r = 0.61, SECV = 272.1), malic acid (r = 0.58, SECV = 1.06), lactic acid (r = 0.51, SECV = 1.14) and EC predictions (r = 0.47, SECV = 3.67) were not as good. Soft Independent Modeling by Class Analogy (SIMCA) diagnostics and validation was applied as a sophisticated discrimination method. The must samples could be classified in terms of their FAN values when SIMCA was applied, obtaining results with recognition rates exceeding 80%. When SIMCA diagnostics and validation were applied to determine the progress of conversion of malic to lactic acid and the EC content, again results with recognition rates exceeding 80% were obtained. The evaluation of the applicability of FT-NIR spectroscopy measurement of FAN, $^{o}Brix$ values, malic acid, lactic acid and EC content in must and wine shows considerable promise. FT-NIR spectroscopy has the potential to reduce the analytical times considerably in a range of measurements commonly used during the wine making process. Where conventional FT-NIR calibrations are not effective, SIMCA methods can be used as a discriminative method for rapid classification of samples. SIMCA can replace expensive, time-consuming, quantitative analytical methods, if not completely, at least to some extent, because in many processes it is only needed to know whether a specific cut off point has been reach or not or whether a sample belongs to a certain class or not.

• Journal of Satellite, Information and Communications
• /
• v.12 no.4
• /
• pp.18-25
• /
• 2017

Recently, disasters have become bigger and more complex, and the economic damage has increased due to the increase of urbanization and the concentration of infrastructure. These large complex disasters occur simultaneously in the second and third disasters due to the first single disaster, but the existing disaster management system in Korea is less adaptable because it is divided into natural disasters and social disasters. The cause of the complex disaster is the rapid urbanization of the residential environment caused by the change of the industrial structure, and the threat factors are various and unpredictable in the living environment. Natural disasters are becoming larger and more complex due to climate change due to global warming. Unlike the past, natural disasters are likely to develop into multiple disasters such as urban paralysis. Therefore, this paper considers natural disasters and social disasters in a comprehensive concept in order to overcome limitations of disaster management by existing single factors and manage disasters effectively and rationally. It is expected that it will play a big role in protecting the lives and property of the people through the establishment of a preemptive disaster management framework.