• 한국콘텐츠학회논문지
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• 제22권1호
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• pp.611-619
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• 2022

본 연구는 2017년, 2019년 국민건강영양조사 자료를 활용하여 1인 독거가구 중 우울증 및 자살생각에 영향을 미치는 요인에 대하여 분석하였다. 분석에 포함된 변수는 인구사회, 경제학적 변수, 건강상태 및 건강행동 변수를 고려하였다. 분석결과 우울증 유병은 활동제한 여부(OR: 4.753, p-value: <.0001), 현재흡연 여부(OR: 2.013, p-value: 0.044)와 통계적으로 유의한 관련성이 있었고, 자살생각은 가구소득(OR: 3.526, p-value: 0.043), 주관적 건강상태(OR: 2.945, p-value: 0.007), 활동제한(OR: 2.263, p-value: 0.003), 현재흡연 여부(OR: 2.000, p-value: 0.023)와 통계적으로 유의한 관련성이 있었다. 이처럼 1인 독거가구는 그 자체로 심리적 불안감을 가질 수 밖에 없고, 사회경제적, 신체적으로 위기에 처하여 정신건강 문제를 일으킬 수 밖에 없으므로 지역사회에서 사회적 네트워크 시스템을 구축하여 이들을 조기에 발견하여 적절한 중재를 통해 비관적 결과로 이어지지 않도록 해야할 것이다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권4호
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• pp.2060-2077
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• 2019

Recently, mobile healthcare services have attracted significant attention because of the emerging development and supply of diverse wearable devices. Smartwatches and health bands are the most common type of mobile-based wearable devices and their market size is increasing considerably. However, simple value comparisons based on accumulated data have revealed certain problems, such as the standardized nature of health management and the lack of personalized health management service models. The convergence of information technology (IT) and biotechnology (BT) has shifted the medical paradigm from continuous health management and disease prevention to the development of a system that can be used to provide ground-based medical services regardless of the user's location. Moreover, the IT-BT convergence has necessitated the development of lifestyle improvement models and services that utilize big data analysis and machine learning to provide mobile healthcare-based personal health management and disease prevention information. Users' health data, which are specific as they change over time, are collected by different means according to the users' lifestyle and surrounding circumstances. In this paper, we propose a prediction model of user physical activity that uses data characteristics-based long short-term memory (DC-LSTM) recurrent neural networks (RNNs). To provide personalized services, the characteristics and surrounding circumstances of data collectable from mobile host devices were considered in the selection of variables for the model. The data characteristics considered were ease of collection, which represents whether or not variables are collectable, and frequency of occurrence, which represents whether or not changes made to input values constitute significant variables in terms of activity. The variables selected for providing personalized services were activity, weather, temperature, mean daily temperature, humidity, UV, fine dust, asthma and lung disease probability index, skin disease probability index, cadence, travel distance, mean heart rate, and sleep hours. The selected variables were classified according to the data characteristics. To predict activity, an LSTM RNN was built that uses the classified variables as input data and learns the dynamic characteristics of time series data. LSTM RNNs resolve the vanishing gradient problem that occurs in existing RNNs. They are classified into three different types according to data characteristics and constructed through connections among the LSTMs. The constructed neural network learns training data and predicts user activity. To evaluate the proposed model, the root mean square error (RMSE) was used in the performance evaluation of the user physical activity prediction method for which an autoregressive integrated moving average (ARIMA) model, a convolutional neural network (CNN), and an RNN were used. The results show that the proposed DC-LSTM RNN method yields an excellent mean RMSE value of 0.616. The proposed method is used for predicting significant activity considering the surrounding circumstances and user status utilizing the existing standardized activity prediction services. It can also be used to predict user physical activity and provide personalized healthcare based on the data collectable from mobile host devices.

• 정보처리학회논문지:소프트웨어 및 데이터공학
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• 제4권1호
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• pp.57-64
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• 2015

사용자의 상황에 따라 유용한 정보를 제공할 수 있는 행위인식 기술은 최근 많은 주목을 받고 있다. 스마트폰이 보급되기 전 행위인식 연구에서는 독립된 센서를 사용하여 사용자의 행위를 추론해야 했지만, 현재는 IT산업의 발달로 스마트폰의 내부 센서를 사용해 사용자의 행위를 추론할 수 있게 되었다. 따라서 행위인식 분야의 연구가 더욱 활발히 진행되고 있다. 행위인식 기술을 응용하면 사용자의 선호도에 따라 애플리케이션을 추천하거나 경로 정보를 제공하는 서비스 등을 개발할 수 있다. 기존의 행위인식 시스템들은 GPS를 이용하기 때문에 전력을 많이 소모한다는 단점이 있다. 반면에 최근 Google에서 발표한 행위인식(Google Activity Recognition) 시스템은 Network Provider를 이용하기 때문에 GPS 방식에 비해 전력소모가 적어 휴대해야 하는 스마트폰 응용 시스템에 적합하다. 하지만 Google Activity Recognition의 성능을 테스트한 결과 불필요한 행위 항목과 일부 잘못된 상황인지로 인해 정확한 사용자 행위를 파악하기 어렵다는 것을 발견했다. 행위인식 기술을 기반으로 한 새로운 서비스 개발을 위해 더욱 정확한 상황인지가 필요하므로 본 논문에서는 GAR의 문제점을 기술하고 정확도를 높이는 개선 방법을 적용한 AGAR(Advanced Google Activity Recognition)을 제안한다. 또한 AGAR의 이용가치를 평가하기 위하여 다른 여러 행위인식 시스템과 성능과 전력소모량을 비교분석하고 AGAR을 검증하는 예시 프로그램을 개발하여 응용 가능성을 설명한다.

• BMB Reports
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• 제41권8호
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• pp.609-614
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• 2008

The concentrations and catalytic activities of enzymes control metabolic rates. Previous studies have focused on enzyme concentrations because there are no genome-wide techniques used for the measurement of enzyme activity. We propose a method for evaluating the significance of enzyme activity by integrating metabolic network topologies and genome-wide microarray gene expression profiles. We quantified the enzymatic activity of reactions and report the 388 significant reactions in five perturbation datasets. For the 388 enzymatic reactions, we identified 70 that were significantly regulated (P-value < 0.001). Thirty-one of these reactions were part of anaerobic metabolism, 23 were part of low-pH aerobic metabolism, 8 were part of high-pH anaerobic metabolism, 3 were part of low-pH aerobic reactions, and 5 were part of high-pH anaerobic metabolism.

• International Journal of Computer Science & Network Security
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• 제21권8호
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• pp.276-280
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• 2021

The article presents the concept of ICT - competence, which is considered as the most important characteristic of professional competence, which includes a combination of the following components: motivational-value (orientation of the individual to the development of his ITC-competence in future professional activities); technological (complex of skills and abilities of ICT activities); cognitive (a system of knowledge of modern technologies of future professional activity); it is determined that the pedagogical support of the formation of ICT competence of future specialists is the individualization of the process training, due to their personal and professional needs and the specifics of a regional university, providing the necessary conditions for the implementation of this process.

• International Journal of Computer Science & Network Security
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• 제21권6호
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• pp.7-10
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• 2021

The article analyzes and concretizes the understanding of the differences between the concepts of competence / competence according to the criterion general - personal. Based on the identified characteristics of competence (completed personal quality, activity character, educational result, successful implementation of professional and educational activities), the concept of competence as an integrative dynamic quality of a person, manifested in effective activity in a specific area, is defined. The structure of the IC has been substantiated, including motivational and value; information technology; communicative and reflective components. The content of the named IC components is disclosed. The article analyzes the essence of the characteristics of basic concepts (competence / competence), consideration of information competence in the research of famous scientists in order to concretize the studied phenomenon; concretization of the identified pedagogical conditions in educational process.

• International Journal of Computer Science & Network Security
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• 제22권10호
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• pp.347-351
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• 2022

The article is devoted to the formation of approaches to improving the system of administration of customs payments in modern conditions. It is established that important components of the administration of customs payments are customs expertise, customs value assessment, and control over the declaration of goods to ensure the completeness and timeliness of customs duties payments to the budget. It is found that the practice of customs administration shifts the emphasis of foreign trade regulation to the use of the principles of work implying the use of the latest technologies for the preliminary electronic exchange of information, remote customs clearance of goods without the physical presence of an official, and consistent application of risk management. It is established that an important place in the structure of the state authorities regulating the foreign economic activity is given to the customs service. Furthermore, the existing problems in the implementation of international trade operations necessitate the improvement of approaches to the customs regulation of export-import activities of enterprises.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2008년도 추계종합학술대회 B
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• pp.415-418
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• 2008

본 논문에서는 특정 지역을 연속해서 촬영하는 고정된 카메라 영상에서 사람들의 움직임을 검출하고 움직임을 분석하여 정량화 하는 방법을 제안한다. 먼저 배경 영상을 획득하기 위하여 일정 시간동안의 입력 영상을 누적하고 평균값으로 정규화 한다. 그리고 영상을 계속 누적하여 배경 영상을 실시간으로 갱신한다. 다음으로 획득된 배경 영상과 현재 영상에 대하여 차영상과 이진화를 수행하고 팽창 연산과 연결 성분 분석으로 잡영을 제거한다. 그리고 잡영이 제거된 영상에서 원근감 효과를 고려하는 가중치를 적용하여 움직임이 있는 객체를 클러스터링 하는 수정된 ART2 클러스터링 방법을 제안한다. 마지막으로 클러스터링 결과 정보를 이용하여 움직임을 정량화 한다. 제안하는 방법을 실내 환경에 설치된 네트워크 카메라로부터 영상을 획득하여 실험한 결과, 영상의 원근감 효과에 따라 군집 크기가 차이남에도 강인하게 분석할 수 있음을 확인하였다.

• International Journal of Computer Science & Network Security
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• 제22권9호
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• pp.117-122
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• 2022

One of the promising sectors of the economy today is tourism in all forms and types. The multiplier effect of tourism is huge: the income received from one tourist exceeds the amount of money spent by him at the location on the purchase of services and goods in the range from 1.5 to 4 times. Countries known as world centers of tourism have made it a state policy, taking on the functions of forecasting, coordinating and controlling. The architectural monuments of the city historical structure are a pretty resource for tourism. Cultural tourism as a type of sociocultural human activity is one of the popular and mass types of tourism. The number of people wishing to get acquainted with historical and cultural sights is growing every year. In the cultural aspect, tourism has an impact on the spiritual and material spheres of human life, his way of life, value system, social behavior.Thus, the main task of the study is to analyze the features of the architecture of tourism and tourist complexes. As a result of the study, current trends and prerequisites for the architecture of tourism and tourist complexes were investigated.

• 정보학연구
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• 제8권2호
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• pp.1-16
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• 2005

In high education, knowledge is the very important resource and output. Knowledge management is the art of creating additional value from academic knowledge assets. The e-community is the network community, newly created by information communication technology, and the critical place that share and transfer people's the various knowledge and thinking and the effective space that can apply knowledge management. If we construct a convenient and useful e-community in our university, we will be able to increase the student's intellectual needs, and create new knowledge. Web-portal will promote the activity of e-community providing easy to access and personalized web circumstance. The emergence of Internet and Web access to all university services will force institutions to rethik everything. We should reconfigure our academic environment in order to adapt information technology and educational change, and must do change management based on their structure and culture.