• Journal of Internet Computing and Services
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• v.20 no.3
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• pp.119-128
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• 2019

This study aims to analyze the research trends on Smart City and to present implications to policy maker, industry professional, and researcher. Cities around globe have undergone the rapid progress in urbanization and the consequent dramatic increase in urban dwellings over the past few decades, and faced many urban problems in such areas as transportation, environment and housing. Cities around the globe are in a hurry to introduce Smart City to pursue a common goal of solving these urban problems and improving the quality of their lives. However, various conceptual approaches to smart city are causing uncertainty in setting policy goals and establishing direction for implementation. The study collected 11,527 papers titled "Smart City(cities)" from the Scopus DB and Springer DB, and then analyze research status, topic, trends based on abstracts and publication date(year) information using the LDA based Topic Modeling approaches. Research topics are classified into three categories(Services, Technologies, and User Perspective) and eight regarding topics. Out of eight topics, citizen-driven innovation is the most frequently referred. Additional topic network analysis reveals that data and privacy/security are the most prevailing topics affecting others. This study is expected to helps understand the trends of Smart City researches and predict the future researches.

• Journal of Digital Convergence
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• v.16 no.12
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• pp.1-10
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• 2018

For local festivals to be successful, it is important to cooperate with various entities and effectively utilize festival-related resources. Recently, many efforts have been made to improve the operation and management performance of local festivals in Korea, but systematic management and IT support have been insufficient. In this study, the factors affecting the IT governance of local festivals were derived through a literature review and the relationship to the festival performance was analyzed empirically. A survey was conducted with local festival organizers and stake holders, and the research model was verified using the regression analysis with total 109 samples. According to the results of the analysis, it was confirmed that marketing, processes and service management have a significant effect on festival performance within IT governance. The effect of festival performance on resource management was not statistically significant. This study demonstrates that the systematic operation and management of local festivals using IT governance is necessary for local festivals. It will be more meaningful if further study discuss the IT utilization guidelines and success cases through the innovative use of IT for local festivals.

• Korean Journal of Social Welfare Studies
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• v.48 no.4
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• pp.157-185
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• 2017

This study aimed to explore the trajectories of economic preparations for the aging among people with physical disabilities and to identify the determinants according to the Andersen model. For this study, data were drawn from Panel Survey of Employment for the Disabled (PSED). A total of 1,847 samples were used from the second to the eighth wave. Latent class growth model was conducted to explore the longitudinal change classes for the disabled, and the multinominal logistic regression analysis was conducted to examine the influence of the determinants. As a result, four classes were identified: preparation decrease group, continuous non-preparation group, preparation increase group, and continuous preparation group. Each group was found to be associated deferentially with education level, family income, socioeconomic status, employment, home ownership, national basic livelihood security recipient status, and ADL. These findings proposed the practical and political implications for the strategies concerned with facilitating the economic preparations for the aging among the disabled.

• Journal of the Korean Society of Marine Environment & Safety
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• v.25 no.1
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• pp.18-26
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• 2019

The Maritime Labour Convention, 2006, (MLC) aimed to ensure decent working conditions for seafarers and entered into force on August 20, 2013. It was considered as the fourth pillar in the maritime sector. This paper evaluates how the MLC has been implemented in the field and what issues were addressed in the shipping industry. To achieve this, statistical analysis was conducted using inspection data of Port State Control (PSC) carried out by the Paris MOU and the Tokyo MOU during 2010-2012 and 2014-2016 for deficiencies under the MLC and International Labour Organization (ILO) No. 147 Convention. This study compared pre-2013 and post-2013 deficiency data according to ship's age, size (gross tonnage) and type. The results showed that, although the deficiencies reported by the Tokyo MOU during 2014-2016 were nearly double those from 2010-2012, the deficiency share against total deficiencies for the Tokyo MOU remained two thirds of those for the Paris MOU. This study suggests that the Tokyo MOU should strengthen its inspection efforts on MLC and ILO should provide clear references, such as guidelines and a unified interpretation for national discretions under the MLC for the purpose of harmonized PSC inspections. Additionally, it would be desirable to consolidate the deficiency coding system for the MLC by deleting the codes for the ILO No. 147 Convention, which was incorporated into the MLC. It would also be beneficial to add new deficiency codes for social security, including seafarers' leave and repatriation.

• The Journal of the Korea Contents Association
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• v.21 no.4
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• pp.278-291
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• 2021

This study performed a longitudinal research on the causal relationship between multidimensionality of problem drinking and poverty, and multidimensional deprivation meaning the inequality, focusing on gender difference. For this, this study examined the latent group of problem drinking change trajectory through the latent class growth analysis targeting total 3,770 men and 5,632 women by using the 6th-year Korea Welfare Panel Study data from 2013 to 2018, and then conducted the multinominal logistic regression analysis to verify the influence of multidimensional deprivation factors on this latent group. The main results of this study are as follows. First, the latent group of problem drinking change trajectory according to gender was classified into three latent groups in both men and women while the development aspect was different from each other. The male latent group with 'moderate level' or higher showed higher level of problem drinking than women. However, in case of 'drinking group with high level' according to gender, as time passed, the men tended to maintain it while the women tended to increase it. Second, in the results of examining the effects of multidimensional deprivation on the latent group of problem drinking change trajectory, the men with more experiences of social deprivation and the women with more experiences of social security deprivation showed the higher possibility to belong to the 'drinking group with high level' compared to the 'drinking group with low level'. Based on such results above, this study discussed the preventive/intervention measures for problem drinking according to gender.

• Journal of Cadastre & Land InformatiX
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• v.50 no.2
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• pp.21-35
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• 2020

Due to the coronavirus pandemic and diplomatic disputes, governments are actively developing a policy to revitalize·reshore manufacturing and to diversify international cooperations. In order to develop such a policy, it is very important to compare and analyze domestic·international geospatial information. Over the decade, the US·EC governments have conducted a series of national researches to build data-based tools that can monitor·analyze regional geospatial information driven by government R&D investments. In the case of the EC system, it can compare geospatial information in domestic and international(including Korea) regions. Compared to US·EC cases, Korean examples of national researches with available data analplatform need future improvements. Current study is investigating an automated analysis methodologies using "National Institute of Science and Technology Information (NTIS)" DB, which was national security data until recently. Research on data-mining regional geospatial information can contribute to support policy fields that need to discover new issues in response to unexpected social problems such as recently faced corona and trade disputes.

• Land and Housing Review
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• v.13 no.4
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• pp.13-26
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• 2022

This study analyzes housing choice determinants of the youth and newlyweds households by using housing survey data in Incheon. A multinomial logit model is employed for analysis with the following variables: housing characteristics, housing market characteristics, and residential and neighborhood environment characteristics. The findings from the analysis are as follows. First, for the continued residence of the youth, the important factors were the relief assistance of housing maintenance costs. For the newlyweds, the important factors were the quality improvement of residential environments to ensure residential stability. Second, the housing choice factors to attract the youth were residential support for rent, maintenance costs, and relocation, and the improvements of residential environments such as security, noise levels, and medical facilities. For the newlyweds, the important factors were housing loan assistance for a home purchase or a cheonsei deposit and residential quality improvements for air pollution and parking facilities. Third, the youth were likely to move out due to high rental costs, and the newlyweds were likely to move out for the purchase of a new apartment or higher-quality housing.

• 한국사회정책
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• v.19 no.3
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• pp.149-183
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• 2012

This article aims to analyze main features of activation policy and compare major programmes in terms of their impact on employment performances in Korea. Since the introduction of National Basic Living Security Act in 2000, a series of activation policies have been in place for social assistance recipients, low-income employees, and youth unemployed by means of providing tailored employment and social services via in-depth counselling and case management. These activation policies carry both enabling and demanding elements: requiring programme participation in exchange for public assistance benefit receipts on the one hand, and providing various social services to remove barriers to employment through case management on the other hand. Therefore, it merits attention to analyze how various features of activation programmes affect employment outcomes, the effectiveness of delivery system and policy instruments as well. In analyzing employment outcomes of activation policy of which main characteristics lie in provision of employment and social services, this article points out the features and policy instruments of the activation policy that contribute to labor market entry of public assistance recipients and low income employees. In addition, it also delineates the determinants of exit from benefit receipts. Results from statistical analysis show that activation policy with intense employment service helps both benefit recipients and low income employees enter into the labor market at a faster rate. However, tailored social service provision enables social assistance recipients to exit from benefit receipts. These results suggest theoretical and policy relevant implication in regards to redesigning the delivery mechanisms and service instruments of activation policy.

• 한국사회정책
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• v.23 no.1
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• pp.95-123
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• 2016

As Korean society grows rapidly older, a systematic analysis of the determinants of labor supply behavior among the elderly becomes a prerequisite for designing more effective senior employment policies and income security regime for the elderly. Literatures review shows that a majority of previous researches have been ignoring the problem of "endogenous predictor" especially when it comes to the estimation of the effects of the two key variables, education and non-labor income, on labor supply decisions among older people. They have failed to take into consideration the unobserved heterogeneities which might affect both labor supply decisions of the elderly and their levels of education and non-labor income, which means, according to some econometric literatures, that the estimated coefficients of the two predictors can be inconsistent. The paper tries to redress the endogeneity problem by employing a panel logit model with data from the 1st. to 4th. wave of the KLoSA(Korean Longitudinal Survey of Ageing) to estimate the effects of key predictors on the probability of getting jobs among older people(ages of 60 or older). Both a random effects and a fixed effects model reaffirms that non-labor income has a negative effect on the chances of being employed. And a random effects model shows that the effect of education is also negative, as has frequently been reported by previous studies. That means the effects of education and non-labor income on elderly employment remain negative after the effect of unobserved heterogeneities is controled for and the problem of endogenous predictors is redressed through an appropriate panel data analysis. These findings mean, in turn, that when Korean baby-boomers, who had acquired an unprecedentedly higher level of education and were expected to enjoy ever-larger amount of non-labor income than their preceding generations, retires in near future, their incentives to work will become much weaker and the lack of labor-force and the burden of financing increased public pension expenditure will become more troublesome. The paper concludes with recommending some policy initiatives helpful to solve these expected problems.

• KIPS Transactions on Software and Data Engineering
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• v.10 no.3
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• pp.91-98
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• 2021

Today's information and communication technology is rapidly developing, the security of IT infrastructure is becoming more important, and at the same time, cyber attacks of various forms are becoming more advanced and sophisticated like intelligent persistent attacks (Advanced Persistent Threat). Early defense or prediction of increasingly sophisticated cyber attacks is extremely important, and in many cases, the analysis of network-based intrusion detection systems (NIDS) related data alone cannot prevent rapidly changing cyber attacks. Therefore, we are currently using data generated by intrusion detection systems to protect against cyber attacks described above through Host-based Intrusion Detection System (HIDS) data analysis. In this paper, we conducted a comparative study on machine learning algorithms using LID-DS (Leipzig Intrusion Detection-Data Set) host-based intrusion detection data including thread information, metadata, and buffer data missing from previously used data sets. The algorithms used were Decision Tree, Naive Bayes, MLP (Multi-Layer Perceptron), Logistic Regression, LSTM (Long Short-Term Memory model), and RNN (Recurrent Neural Network). Accuracy, accuracy, recall, F1-Score indicators and error rates were measured for evaluation. As a result, the LSTM algorithm had the highest accuracy.