• Journal of Digital Convergence
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• v.15 no.2
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• pp.225-232
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• 2017

This study aimed to identify worker groups that are to accidents and to track the changes in their socioeconomic status there after. We analyzed the Korean Labor and Income Panel Study (KLIPS) database(2001-2006) were recorded according to the participant's economic activity status at the beginning of follow-up, and economic activity status was. During the follow-up period, the unemployed group experienced more accidents that resulted in disability than the economically active group. Interestingly, the unemployed group also had the highest industrial accident rate. Among the employed, daily and unpaid family workers were more vulnerable to disabilities. After the accidents, the participants tended to become economically inactive or unemployed. Compared to other worker groups, the economically inactive, unemployed, and daily and unpaid family workers experienced higher rates of accidents and faced graver conditions as a result. Although they constitute a significantly large part of society, these vulnerable workers are not currently covered by any social security measures, such as accident surveillance, training, and accident insurance. Social policy should therefore be directed toward protecting these vulnerable worker groups.

• Journal of the Korean Institute of Landscape Architecture
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• v.43 no.1
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• pp.96-107
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• 2015

Brownfield sites are beginning to be considered as potentially useful areas for landscape design and planning, with post-industrial areas such as water treatment facilities and military training bases being converted into useful landscapes such as parks and recreation areas. These redevelopments bring broad benefits through revitalizing communities and increasing property values, thus, increasing the demand for comprehensive management and planning policies. This study examines changes in U.S. brownfield policies and programs and, identifies their periodic characteristics over the thirty years since the Superfund program was introduced in 1980. A descriptive and interpretive approach was utilized, focusing specifically on a time sequential analysis of the data gathered from the overview of the Environmental Protection Agency's web-based documents and related literature. The primary changes in and characteristics of programs and policies were analyzed and divided into three periods : environmental protection, remediation and reuse, and comprehensive planning. Four major features were identified: relaxation and readjustment of regulation, diversification of support programs, a mix of top-down and bottom-up approaches, and database system building. The study examines how common brownfield problems such as site identification difficulties and assessment and remediation cost have been dealt with in the regulatory context and has implications for future policies and programs for effective brownfield planning and management in Korea.

• Journal of Korean Medical Ki-Gong Academy
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• v.16 no.1
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• pp.1-58
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• 2016

Objects : The purpose of this study is to understand trends of "Qigong"-related study since 2008 and to help guide the research direction of Qigong study. Methods : The computerized Korean database was searched from January 2008 until September 2016. The search terms used were 'Qi', 'Qigong', 'Doin', 'Meditation', 'bioenergy', 'training', 'life nurturing' and random or Korean language terms. Results : 1. A total of 140,914 studies were searched in this study. A total of 2,147 studies were finally selected as Qigong-related studies. 2. The average number of Qigong-related studies published in Korea since 2008 is 252.6 per year and there was no significant difference in the number of studies published by year 3. Results according to the subject categories, 805 cases were in the humanities and 2 cases were in the agriculture & maritime field. 4. Results according to the middle subject categories, philosophy was the largest with 280 studies. 5. As a result of Qigong categories showed that meditation was the highest with 1,043 (48.58%) not including duplication. 6. As a result of research method, the most frequent method was Analysis research with 1,138(53.00%) cases and the experimental research was the least with 118(5.50%) cases. 7. When the authors were investigated, the result was the most in 35 cases by Kim Byung-chae. 8. The journal that published the most Qigong-related studies was "J. of The Studies of Taoism and Culture" (52), and Dongguk University (75) had the largest number of Qigong-related studies. Conclusions : 1. Since 2008, there is no significant difference between the yearly and yearly the number of Qigong-related studies. 2. Since 2008, Qigong-related studies have been the most successful in the field of humanities, but it has been regularly published in various other field. 3. Since 2008, Qigong-related studies has shown a remarkable decline in category on External Qigong Therapy(外氣發功) and Science of Qi(氣科學). However, category on Nae-Dan(內丹), meditation, Do-In (導引) has continued steadily every year. And did not show a tendency to increase or decrease.

• Journal of the Institute of Convergence Signal Processing
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• v.12 no.2
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• pp.96-101
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• 2011

In recent days, the demand for the remote ECG monitoring system has been increasing and the automation of the monitoring system is becoming quite of a concern. Automatic detection of the abnormal ECG beats must be a necessity for the successful commercialization of these real time remote ECG monitoring system. From these viewpoints, in this paper, we proposed an automatic detection algorithm for the abnormal ECG beats using QRS width and RR interval patterns. In the previous research, many efforts have been done to classify the ECG beats into detailed categories. But, these approaches have disadvantages such that they produce lots of misclassification errors and variabilities in the classification performance. Also, they require large amount of training data for the accurate classification and heavy computation during the classification process. But, we think that the detection of abnormality from the ECG beats is more important that the detailed classification for the automatic ECG monitoring system. In this paper, we tried to detect the VEB which is most frequently occurring among the abnormal ECG beats and we could achieve satisfactory detection performance when applied the proposed algorithm to the MIT/BIH database.

• Proceedings of the Korea Water Resources Association Conference
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• 2015.05a
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• pp.128-128
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• 2015

본 연구는 공적개발원조 사업 중 하나로 개발도상국의 실무자 및 정책결정자의 물 관련 재해위험경감 역량 강화를 위한 교육 훈련 프로그램을 검토하고 개발하는데 목적이 있다. 특히, 물 관련 재해에 대한 구조적, 비구조적 대응방식을 균형있게 논의하고 지방정부 및 관련기관과의 협력, 지역사회기반의 재해경감정책 등 새로운 대응방식관련 교육 프로그램을 검토한다. 2000년-2006년 기간 Emergency Disasters Database (EM-DAT)에 기록된 전 세계 2,163건의 물 관련 재해는 총 29만 명 이상의 인명피해와 4,220억 달러의 재산피해를 초래하였다. 이런 재해는 개발도상국이나 선진국 모두에게 치명적이지만 특히 재해대응역량이 부족한 개발도상국에 막대한 손실을 초래하여 국가개발과 존망에 큰 위협이 되고 있다. 그럼에도 불구하고 대부분의 개발도상국은 재해관리를 간과하여 빈곤의 악순환에서 벗어나지 못하고 있는 실정이다. 본 연구는 2005년 효고행동강령(Hyogo Framework for Action: HFA)의 기본원칙, 2011년 중간평가 검토, 2015년 이후 제시될 새로운 재해위험경감 정책의 틀 속에서 재해위험경감 교육 프로그램을 연구하고자 한다. 이를 위하여 개발도상국 공무원을 대상으로 공적개발원조 프로그램을 운영한 천안의 중앙민방위방재교육원과 일본 고베시의 JICA 등을 방문하여 물 관련 재해 대응의 실질적 개선방향을 모색하였다. 물 관련 재해대응을 위한 교육 프로그램 대상은 실무자와 정책결정자로 설정하고 예방/대비/대응/복구의 유형에 따른 교육과정을 검토한다. 재해 대응 역량강화를 위하여 댐이나 제방 등 홍수위험관리기술과 같은 구조적 방식뿐만 아니라 근본적인 재해위험경감을 위한 홍수위험도 분석과 관리, 도시홍수위험경감계획, 관련 법규제정, 지역홍수위험경감과 민관협력 등과 같은 비구조적 방식에 대한 교육도 포함한다. 이런 측면에서 한국의 경제발전 경험과 물 관련 재해관리 경험을 정책, 사업, 사례와 연관시켜 교육을 진행하고 장단점 비교를 통하여 개발도상국 현지에 적합한 모델을 모색한다. 또한 재해발생시 피해규모를 최소화하게 하는 초동대응을 위해서 행정뿐만 아니라 지역, 시민, 기업 등 다양한 이해 당사자와 주체가 참여하는 종합대책교육을 포함한다. 사회경제발전의 지속을 위해서는 재해에 대한 관리가 매우 중요하다. 특히 인간의 삶에 너무도 익숙하지만 홍수, 가뭄 등으로 치명적인 피해를 야기하는 물 관련 재해에 대응하기 위해서는 물 관리와 관련 재해에 대한 전반적인 이해가 필수적이다. 따라서 한국의 물 관리 경험에 기초한 재해위험경감 교육과 훈련은 개발도상국의 효과적인 재해관리를 가능하게 할 것이다.

• The Journal of Korean society of community based occupational therapy
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• v.8 no.3
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• pp.77-89
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• 2018

Objective : The purpose of this study was to analyze occupational therapy intervention on the community mobility for stroke patients, and to provide evidence of intervention in the clinical fields. Methods : A systematic review was executed according to the PRISMA checklist. The accessed database was PubMed, EMBASE, Cochrane Library (CENTRAL), ProQuest Dissertations & thesis (PQDT), RISS, and KoreaMed. We included the articles published from 2005 to September 2018. RoBANS checklist was used to evaluate the quality of the articles. Included articles, totally eight, were categorized according to the type of intervention. Results : The study design of the literature was varied from two-group randomized trial, quasi-experimental study, case-control trial, one group pre-post comparison study, and cross-sectional study. In the evidence level, 6 articles were included in level II (75%). The percentage of low risk of bias in each article ranged from 52.5%~87.5%. Four studies (50%) provided intervention based on virtual reality or virtual environment. The three (37.5%) provided intervention based on the protocol, and the other (12.5%) did wheelchair training. All studies reported significant effects of the intervention. Conclusion : This systematic review provided evidences to use proper intervention in the clinical fields. Various type of studies should be conducted to prove the effect of occupational therapy intervention for community mobility.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.10a
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• pp.733-735
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• 2014

Example based Super Resolution(SR) is using the correspondence between the low and high resolution image from a database. This method uses only one image to estimate a high resolution image and can get the larger image than 2 times. Example based SR is proposed to solve the problem of classical SR. Neighbor embedding(NE) has been inspired by manifold learning method, particularly locally linear embedding. However, the poor generalization of NE decreases the performance of such algorithm. The sizes of local training sets are always too small to improve the performance of NE. We propose the advanced NE baesd on SVR having an excellent generalization ability to solve this problem. Given a low resolution image, we estimate a pixel in its high resolution version by using SVR based NE. Through experimental results, we quantitatively and qualitatively confirm the improved results of the proposed algorithm when comparing with conventional interpolation methods and NE.

• Database Research
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• v.34 no.3
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• pp.137-147
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• 2018

A key to a well-performing human activity recognition (HAR) system through machine learning technique is the availability of a substantial amount of labeled data. Collecting sufficient labeled data is an expensive and time-consuming task. To build a HAR system in a new environment (i.e., the target domain) with very limited labeled data, it is unfavorable to naively exploit the data or trained classifier model from the existing environment (i.e., the source domain) as it is due to the domain difference. While traditional machine learning approaches are unable to address such distribution mismatch, transfer learning approach leverages the utilization of knowledge from existing well-established source domains that help to build an accurate classifier in the target domain. In this work, we propose a transfer learning approach to create an accurate HAR classifier with very limited data through the multitask neural network. The classifier loss function minimization for source and target domain are treated as two different tasks. The knowledge transfer is performed by simultaneously minimizing the loss function of both tasks using a single neural network model. Furthermore, we utilize the unlabeled data in an unsupervised manner to help the model training. The experiment result shows that the proposed work consistently outperforms existing approaches.

• Journal of the Korea Society of Computer and Information
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• v.26 no.4
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• pp.105-112
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• 2021

In the era of big data, interest in data is exploding. In particular, the development of the Internet and social media has led to the creation of new data, enabling the realization of the era of big data and artificial intelligence and opening a new chapter in convergence technology. Also, in the past, there are many demands for analysis of data that could not be handled by programs. In this paper, an analysis model was designed and verified for classification of unstructured data, which is often required in the era of big data. Data crawled DBPia's thesis summary, main words, and sub-keyword, and created a database using KoNLP's data dictionary, and tokenized words through morpheme analysis. In addition, nouns were extracted using KAIST's 9 part-of-speech classification system, TF-IDF values were generated, and an analysis dataset was created by combining training data and Y values. Finally, The adequacy of classification was measured by applying three analysis algorithms(random forest, SVM, decision tree) to the generated analysis dataset. The classification model technique proposed in this paper can be usefully used in various fields such as civil complaint classification analysis and text-related analysis in addition to thesis classification.

• Korean Journal of Labor Studies
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• v.17 no.1
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• pp.1-36
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• 2011

The purpose of this study is to analyze the effect to financial outcome and workers' outcome, using the manufacturing industry database of Human Capital corporate Panel from Korea Research Institute for Vocational Education & Training. Especially, this study used the typology of Lean production and Autonomous team production, that are the typical form of alternative work organization, to analyze. In the case of domestic manufacturing industry, individual participation practices, that have the main characteristics such as QC or suggestion system, is expanded. Therefore, with the reference of Lean production, Autonomous Team Production and the Taylor system are compared and analyzed, considering the characteristics of Socio-technical System. As a result, it is showed that the Lean production and Autonomous Team Production as a alternative work organization are more positive about the organizational performance and workers' outcome than the taylor system. However, when Lean production and Autonomous Team Production are compared, it is showed unsignificant distinction to the effect of organizational performance. Meanwhile, Lean production showed more negative effect on the every dependent variables such as working hours, income, job satisfaction, and organizational commitment as workers' performance than the Autonomous Team Production. Although the common ideas and belief is that the Lean Production is superior for the quality and organizational performance improvement, it is implied the possibility that there is some damaged workers' performance on the hidden side of that mechanism.