• 한국지능시스템학회논문지
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• 제8권6호
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• pp.122-128
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• 1998

이 논문에서는 영상시퀀스의 프레임간 차영상 블록을 영상활동도의 크기 및 분포에 따라 적응적으로 분류함으로써 영상시퀀스를 압축하는 기법을 제안한다. 활동도의 크기에 의한 분류에서는 차영상 블록에 포함되어 있는 물체의 에지부분에 해당하는 활동블록과 비활동 블록으로 분류하고, 활동도의 분포에 의한 분류에서도 활동블록들을 이산 코사인변환계수의 분포정도를 특징으로 하여 수직, 수평, 저활동 블록으로 분류한다. 대표적인 분류결과를 이용하여 RBFN 신경망을 학습시켜 프레임간 차영상 블록들의 비선형적인 분류 특성을 얻었다. 시뮬레이션 결과 RBFN을 이용한 차영상 블록의 분류가 영상활동도의 정렬방법이나 다층퍼셉트론 신경망(MLP)에 비해 영상시퀀스의 압축성능이 향상되었다.

• 산경연구논집
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• 제8권4호
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• pp.23-35
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• 2017

Purpose - This paper aims to obtain a theoretical understanding for the relationship among the elderly's leisure activity, social support, life satisfaction and mental loneliness in their life. This paper has the purpose to draw policy implications by the course of research and study as well as to find alternatives in enhancing the elderly's psychological well-being in a practical dimension. Research design, data, and methodology - Data has been collected from 380 elderly persons participating in leisure activities in 10 senior welfare service centers located in the Seoul area. A structured questionnaire sheet was used, and as the main analysis method for hypothesis verification, the hierarchical regression method was used. Results - Social support is moderating factor for the relationships among the productive leisure activity, life satisfaction and mental loneliness, but does not play the moderating role in the relationships such as consumptive leisure activity, life satisfaction and mental loneliness. Conclusions - It is necessary to make efforts to provide policies for promoting and expanding the elderly's participation especially in productive leisure activity. And also, an institutional support should be provided for maintaining and expanding a stable social relationship network for the elderly's participation.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권8호
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• pp.2948-2963
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• 2015

In the field of computer vision, visual surveillance systems have recently become an important research topic. Growth in this area is being driven by both the increase in the availability of inexpensive computing devices and image sensors as well as the general inefficiency of manual surveillance and monitoring. In particular, the ultimate goal for many visual surveillance systems is to provide automatic activity recognition for events at a given site. A higher level of understanding of these activities requires certain lower-level computer vision tasks to be performed. So in this paper, we propose an intelligent activity recognition model that uses a structure learning method and a classification method. The structure learning method is provided as a K2-learning algorithm that generates Bayesian networks of causal relationships between sensors for a given activity. The statistical characteristics of the sensor values and the topological characteristics of the generated graphs are learned for each activity, and then a neural network is designed to classify the current activity according to the features extracted from the multiple sensor values that have been collected. Finally, the proposed method is implemented and tested by using PETS2013 benchmark data.

• 문화기술의 융합
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• 제6권1호
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• pp.301-312
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• 2020

본 연구는 사회적 관계 중심의 SNS 이용에 따른 SNS에서 자기표현을 사진 올리기라는 시각적 표현 방식을 중심으로 분석하고, SNS를 통한 다양한 온라인 네트워크 활동이 오프라인 모임 참여에 어떠한 영향을 미치는지 분석하고, 이에 따른 삶의 만족도를 비교, 분석해 보았다. 분석 결과, 사회적 관계 중심으로 SNS를 이용할수록 SNS에 사진 올리기라는 시각적 자기표현은 매우 활발한 것으로 나타나, SNS가 사회적 관계 유지 및 자기표현에 중요한 채널이라고 인식할수록 사회적 관계성을 나타내는 다양한 사진들을 올리는 것으로 나타났다. 또한, 사회적 관계 중심의 SNS 이용도가 높고, 친구들과 찍은 사진을 많이 올릴수록 오프라인의 모임 참여도가 높은 것으로 나타나, 온라인 네트워크를 통한 사회적 관계망 활동이 오프라인 모임 참여에도 유의미한 긍정적 영향을 미치는 것으로 나타났으며, 이에 따른 삶의 만족도도 높은 것으로 나타났다.

• International Journal of Computer Science & Network Security
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• 제22권2호
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• pp.376-384
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• 2022

The article considers the features of the organizational-economic mechanism of attracting investment resources in the innovative development of regions in terms of sustainable development. Factors influencing the investment activity of regions in terms of sustainable development, including: institutional structure, intellectual capital, level of innovation infrastructure, business development, financial and credit component, level of human resources development, information environment, production development, environmental component. Factors influencing the attraction of investment resources in the regions are identified. The dynamics of changes in the volume of capital investments and foreign direct investment in Ukraine is analyzed. The regional features of the distribution of capital investments in the conditions of sustainable development are revealed. The essence of the main principles on the basis of which the organizational - economic mechanism of attraction of investment resources in innovative development of regions in the conditions of sustainable development should be formed is analyzed. A set of measures to regulate the investment processes of the regions has been identified. The mechanism of attraction of investment resources in innovative development of regions in the conditions of sustainable development is outlined. The results of activity of separate Agencies of regional development for 2020 in the direction of investment and innovation activity and increase of level of investment attractiveness of regions are analyzed. Important prerequisites for the effective implementation of the organizational-economic mechanism for attracting investment resources in the innovative development of regions in terms of sustainable development are identified. The main directions of directing the efforts of the organizational-economic mechanism to ensure the attraction of investment resources in the innovative development of regions in the context of increasing the level of investment activity in the regional aspect are substantiated.

• International Journal of Computer Science & Network Security
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• 제23권12호
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• pp.129-136
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• 2023

Professional self-determination of the individual is a complex and lengthy process of finding and realizing yourself in the profession. The main goal of professional self-determination is clarified. The basic concepts of readiness for professional self-determination of future specialists in the modern information society are revealed. The following approaches to the consideration of the concept of readiness are defined: functional-psychological, personal, activity-based. Based on the components of readiness identified by the researchers, it can be assumed that the structure of professional self-determination of the future specialist contains motivational, cognitive and activity components. Self-determination is defined as a multidimensional process that can be considered from different points of view: as a series of tasks, that society sets for the emerging individual, and which the individual must solve in a certain period. As a process of step-by-step decision-making, with the help of which the individual forms a balance between his desires and inclinations, on the one hand, and the needs of society, on the other; as a process of forming an individual lifestyle, part of which is professional activity. A number of tasks of professional self-determination of a future specialist in the information society are formulated. Diagnostic practices for determining the degree of readiness of future specialists for future professional success are characterized. Practices are developed as a basis for creating an individually oriented correctional and development program to promote the formation of future specialists' focus on future professional success. Their task is to ensure control over the dynamics of this process, assess the effectiveness of this career guidance work. Practices are aimed at identifying the degree of thorough knowledge of the conditions for achieving professional success in the chosen field of activity among future specialists.

• 융합보안논문지
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• 제15권3_2호
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• pp.59-70
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• 2015

본 연구는 사회안전망구축과 시민문화 및 지역사회결속의 관계를 규명하는데 있다. 본 연구의 목적을 달성하기 위하여 2014년 7월 15일부터 9월 15일 까지 서울지역(강동, 강서, 강남, 강북) 일반 시민들을 모집단으로 선정한 다음 집락무선표집법(cluster random sampling)을 이용, 400명을 표집 하였다. 불성실한 자료를 제외하고 최종분석에 사용된 사례 수는 337명이다. 수집된 자료는 SPSSWIN 18.0을 이용하여 연구의 목적에 따라 분석 하였으며, 통계기법은 요인분석 신뢰도분석 상관분석 독립표본 t검증 일원변량분석 다중회귀분석 경로분석 등의 방법이 활용되었다. 결론은 다음과 같다. 첫째, 사회안전망구축은 시민 문화에 영향을 미친다. 자율방범활동이 활성화 될수록 질서준법정신은 높아진다. 지자체안전교육 경찰치안서비스가 활성화 될수록 참여의식은 높아진다. 자율방범활동 거리CCTV시설 경찰치안서비스가 활성화 될수록 관용정신은 높아진다. 반면, 거리 CCTV시설은 시민들의 자율성을 감소시킨다. 둘째, 사회안전망구축은 지역사회결속에 영향을 미친다. 거리CCTV시설 경찰치안서비스 범죄예방설계가 활성화 될수록 안정감은 높아진다. 지자체안전교육 경찰치안서비스 범죄예방설계가 활성화 될 수록 공동체의식은 높아진다. 자율방범활동 지자체안전교육 경찰치안서비스 범죄예방설계가 활성화 될수록 지역사회제도는 높아진다. 셋째, 시민문화는 지역사회결속에 영향을 미친다. 참여의식 관용정신이 활성화 될수록 안정감 공동체의식 지역사회제도는 높아진다. 넷째, 사회안전망구축은 지역사회제도에 직접적으로는 낮게 영향을 미치지만, 시민문화를 증대시켜 준다면 지역사회 결속에 더 크게 영향을 미친다.

• 한국융합학회논문지
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• 제10권12호
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• pp.17-22
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• 2019

네트워크 트래픽 세션 데이터를 이용한 공격 분석 및 시각화 방법들은 세션 데이터 내의 송신지 및 수신지 IP주소 및 연결관계를 시각화하여 네트워크 이상 현상들을 감시한다. 트래픽의 송수신 방향은 이상 현상을 탐지하는데 있어서 매우 중요한 특징이지만, 단순히 송신지와 수신지 IP주소를 좌·우 또는 상·하 대칭적으로 시각화하는 것은 분석을 난해하게 만드는 요소가 된다. 또한, 시계열적인 트래픽 세션들의 시간 특성을 고려하지 않고 시각화 인터페이스를 설계할 경우에는 시간별 보안 상황 정보가 손실되는 위험을 감수해야 한다. 본 논문에서는 방사축을 이용하여 시계열 트래픽 데이터를 시각화하고 IP주소를 네트워크 부분과 호스트 부분으로 분할 및 원통좌표계에 표출시켜 효과적으로 네트워크 공격을 감시할 수 있는 시각화 인터페이스와 분석 방법을 제안하고자 한다. 제안하는 방법은 네트워크 공격을 직관적으로 인지하고 공격 활동을 시간흐름에 따라 파악할 수 있는 장점을 가진다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제11권10호
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• pp.5023-5038
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• 2017

Big data is an emerging technology which deals with wide range of data sets with sizes beyond the ability to work with software tools which is commonly used for processing of data. When we consider a huge network, we have to process a large amount of network information generated, which consists of both normal and abnormal activity logs in large volume of multi-dimensional data. Intrusion Detection System (IDS) is required to monitor the network and to detect the malicious nodes and activities in the network. Massive amount of data makes it difficult to detect threats and attacks. Sequential Pattern mining may be used to identify the patterns of malicious activities which have been an emerging popular trend due to the consideration of quantities, profits and time orders of item. Here we propose a sequential pattern mining algorithm with fuzzy logic feature selection and fuzzy weighted support for huge volumes of network logs to be implemented in Apache Hadoop YARN, which solves the problem of speed and time constraints. Fuzzy logic feature selection selects important features from the feature set. Fuzzy weighted supports provide weights to the inputs and avoid multiple scans. In our simulation we use the attack log from NS-2 MANET environment and compare the proposed algorithm with the state-of-the-art sequential Pattern Mining algorithm, SPADE and Support Vector Machine with Hadoop environment.

• 한국IT서비스학회지
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• 제17권3호
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• pp.171-189
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• 2018

To remove software defects and improve performance of software, many developers perform code inspections and use static analysis tools. A code inspection is an activity that is performed manually to detect software defects in the developed source. However, there is no clear criterion which source codes are inspected. A static analysis tool can automatically detect software defects by analyzing the source codes without running the source codes. However, it has disadvantage that analyzes only the codes in the functions without analyzing the relations among source functions. The functions in the source codes are interconnected and formed a social network. Functions that occupy critical locations in a network can be important enough to affect the overall quality. Whereas, a static analysis tool merely suggests which functions were called several times. In this study, the core functions will be elicited by using social network analysis and DEA (Data Envelopment Analysis) for CUBRID open database sources. In addition, we will suggest clear criteria for selecting the target sources for code inspection and will suggest ways to find core functions to minimize defects and improve performance.