• Journal of Internet Computing and Services
• /
• v.15 no.6
• /
• pp.117-124
• /
• 2014

Cluttered background is a major obstacle in developing salient object detection and tracking system for mobile device captured natural scene video frames. In this paper we propose a context aware feature vector selection model to provide an efficient noise filtering by machine learning based classifiers. Since the context awareness for feature selection is achieved by searching nearest neighborhoods, known as NP hard problem, we apply a fast approximation method with complexity analysis in details. Separability enhancement in feature vector space by adding the context aware feature subsets is studied rigorously using principal component analysis (PCA). Overall performance enhancement is quantified by the statistical measures in terms of the various machine learning models including MLP, SVM, Naïve Bayesian, CART. Summary of computational costs and performance enhancement is also presented.

• School Mathematics
• /
• v.19 no.4
• /
• pp.731-749
• /
• 2017

The purpose of this study is to find out whether the current mathematics textbooks are structured so as to cultivate students' statistical literacy. To do this, we analyzed the problems of the statistics units of 9 kinds of middle school 3rd grade mathematics textbook according to 2009 revised mathematics curriculum based on four types of context and statistical problem solving process. As a result of the analysis, among the four types of context, the problems that correspond to the type of personal context was the highest in 67% and among statistical problem solving process, the data analysis process was the highest in 72.85%. According to the results of this study, it is necessary to include the problems that can recognize the necessity of statistics through the use of various contexts and that can develop the statistical literacy through the activities that from the process of collecting data to guessing reasonable conclusions from the presented data.

• Journal of Families and Better Life
• /
• v.19 no.1
• /
• pp.205-219
• /
• 2001

This study analyzes consumer education for consumption values in the elementary school textbooks to provide information useful in revising the curriculum in the future. The textbooks for the 4th, the 5th, and 6th curricula, which are 334 volumes in total, are analyzed by the context-analysis method. Context unit is used as the analysis unit and the number of pages is used as the system of enumeration. According to the analysis, the areas taught most frequently in current curriculum are \"frugality and reuse\" and \"the planned consumption\", while the areas taught least are \"impulsive and conformity consumption\" and \"the concept of consumer and the consumers role\". It was also found that current programs are not well organized in terms of continuity, sequence, and integration.

• Culinary science and hospitality research
• /
• v.20 no.5
• /
• pp.93-100
• /
• 2014

This study performed to identify the relationships among experiential value, brand image, satisfaction and customer loyalty in context of full-service restaurant, and to find the moderating effect of gender on the formulated model. SPSS 18.0 and AMOS 18.0 were employed to conduct frequency analysis, reliability analysis, exploratory and confirmatory factor analysis, and multigroup analysis to examine moderating effect. Results confirmed the validity and reliability and found significant relationships among the constructs. First, two factors of experiential value (e.g., aesthetic and economic value) have positive influence on brand image, satisfaction, and brand image was significant predictor of customer satisfaction. Second, satisfaction was significant antecedent of attitudinal loyalty and the attitudinal loyalty has influence on behavioral loyalty. In addition, current study identified moderating effect of gender between playfulness and brand image even though there was on significant relationship between both constructs. These results will be meaningful for developing marketing strategies and successful business especially for full-service restaurants.

• Investigative Magnetic Resonance Imaging
• /
• v.3 no.2
• /
• pp.179-187
• /
• 1999

Purpose : This paper introduces a computationally inexpensive context-dependent classification of multi-echo MRI with Bayes compound decision model. In order to produce accurate region segmentation especially in homogeneous area and along boundaries of the regions, we propose a classification method that uses contextual information of local enighborhood system in the image. Material and Methods : The performance of the context free classifier over a statistically heterogeneous image can be improved if the local stationary regions in the image are disassociated from each other through the mechanism of the interaction parameters defined at he local neighborhood level. In order to improve the classification accuracy, we use the contextual information which resolves ambiguities in the class assignment of a pattern based on the labels of the neighboring patterns in classifying the image. Since the data immediately surrounding a given pixel is intimately associated with this given pixel., then if the true nature of the surrounding pixel is known this can be used to extract the true nature of the given pixel. The proposed context-dependent compound decision model uses the compound Bayes decision rule with the contextual information. As for the contextual information in the model, the directional transition probabilities estimated from the local neighborhood system are used for the interaction parameters. Results : The context-dependent classification paradigm with compound Bayesian model for multi-echo MR images is developed. Compared to context free classification which does not consider contextual information, context-dependent classifier show improved classification results especially in homogeneous and along boundaries of regions since contextual information is used during the classification. Conclusion : We introduce a new paradigm to classify multi-echo MRI using clustering analysis and Bayesian compound decision model to improve the classification results.

• Korean Journal of Culture and Social Issue
• /
• v.12 no.4
• /
• pp.1-36
• /
• 2006

This study examines the conception of the self using indigenous, cultural and psychological analysis. The self is viewed from four aspects: (1) conception of the self as an entity (the self in general, the self as an unique entity and the self when alone), (2) conception of self in the context of family (the self when with mother, father, children and spouse), (3) the self with the context of close and working relationships (the self when with friends, teachers, work superior and work subordinate), and (4) the self in context of the larger society (the self when with strangers and foreigners). A total of 1,465 respondents (623 elementary, middle, high and university students and their parents = 842) completed an open-ended questionnaire developed by the present authors. The results reveal two patterns of results. First, the conception of self in Korea is influence by one's role. Second, the conception of self in influenced by relationship and context and there is an emphasis on the flexibility and adjustment of the self to relationship and context. Implications of the conception of the self in context of relationships, roles, and contexts are discussed, along with the importance of indigenous, cultural and psychological analysis.

• Journal of the Korea Convergence Society
• /
• v.8 no.5
• /
• pp.275-285
• /
• 2017

The architectural site exists in the context of the surrounding environment as the background of architectural design, and the architecture exists in the connection between the site and the surrounding environment therefore, the plan of the building starts from the analysis of the site, and its consequences too meaning can be found in the relation with the surrounding environment. Ironically, however, there are no direct papers describing site analysis with this meaning. Therefore, this paper categorizes the site analysis items around the four environments of Land, Water, Fire, and Wind that constitute the environment of the ecosystem, furthermore, in order to apply the result of the fusion information to the architectural design by synthesizing the organic correlation between the inside and the surrounding environment, i created the '9sectors system', which is a combination of 'horizontal 3 and vertical 3' to provide a more rational and efficient architectural plan. Through the progress of the project using this system, it is considered that it is a more applicable method of the site analysis data than the existing site analysis method.

• Journal of the Institute of Electronics Engineers of Korea SP
• /
• v.47 no.3
• /
• pp.11-22
• /
• 2010

This paper is a study on implementation of intelligent image surveillance system using context information and supplements temporal-spatial constraint, the weak point in which it is hard to process it in real time. In this paper, we propose scene analysis algorithm which can be processed in real time in various environments at low resolution video(320*240) comprised of 30 frames per second. The proposed algorithm gets rid of background and meaningless frame among continuous frames. And, this paper uses wavelet transform and edge histogram to detect shot boundary. Next, representative key-frame in shot boundary is selected by key-frame selection parameter and edge histogram, mathematical morphology are used to detect only motion region. We define each four basic contexts in accordance with angles of feature points by applying vertical and horizontal ratio for the motion region of detected object. These are standing, laying, seating and walking. Finally, we carry out scene analysis by defining simple context model composed with general context and emergency context through estimating each context's connection status and configure a system in order to check real time processing possibility. The proposed system shows the performance of 92.5% in terms of recognition rate for a video of low resolution and processing speed is 0.74 second in average per frame, so that we can check real time processing is possible.

• Journal of KIISE:Software and Applications
• /
• v.33 no.12
• /
• pp.1062-1072
• /
• 2006

Recently, new intelligent service frameworks, such as ubiquitous computing are proposed. So, the necessity of adaptive agent system has been increased. In this paper, we propose an intelligent service agent to help that ubiquitous computing system offer user suitable service in ubiquitous computing environment. In order to offer user suitable uT-service, an intelligent service agent mediates the gap between the context information in uT-service system, and user preference is reflected in it. Therefore, we focus on following three components; the first is suitable multi agent framework-agent communication analysis and applicable method of inference engine, the second is uT-ontologies to describe various context information-context information sharing between agents and context information understanding between agents, the third is learning method of user profile to apply in uT-service system. This approach enables us to build adaptive uT-service system to offer suitable service according to user preference.

• Journal of Convergence for Information Technology
• /
• v.10 no.10
• /
• pp.9-14
• /
• 2020

With the distribution modernization policy advanced by the government and consumers preference toward it, the so called "modern market" has undergone rapid growth. Conversely, traditional market is losing popularity with consumers as a result of inadequate modern structures, small market size, convoluted relationships, inefficient operation and disordered transactions, among others. Therefore, this study seeks to utilize ubiquitous computing, that is, the upgrade of context aware information to 6W1H and promote the market through the interface with Smartphone and provide advanced information through the augmented reality technology. For the construction of context-aware system using user context, the results may significantly differ according to how reference rules are applied to and implemented on knowledge base. In light of above, through the use of RFID technology and 6W1H context awareness, we seek to promote traditional markets.