• Journal of the Korean Society of Food Culture
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• v.26 no.1
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• pp.53-62
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• 2011

The middle school subjects were 65.8% girls and 34.2% boys. Seniors were most abundant at 56.3%. The most abundant location was Gyeonggi-do (54.7%), and 69.3% of subjects were living with 4?5 family members. Approximately 56% of the mothers had graduated from high school, and 58.1% were unemployed. The mother most often prepared the food (78.4%), fish was eaten mostly in the home, and taste was the most important factor (62.6%). The preferred home food menu was fish because it is healthy, and the main cause for disliking the school meal service was poor quality dishes compared to a home cooked meal. The acceptance and type of fish were proportional. Rice was the most favored dish to eat with fish and scored 3.97, the highest rank. Approximately 50% answered that fish was nutritious, and a significant difference was observed regarding the mother's educational background (p<0.05). Students who never had a lecture about fish answered that fish was not nutritious, which showed a significant difference with education (p<0.05). Approximately 44% of students ate fish 2?3 times per week, and male students showed a significantly higher intake of fish than female students (p<0.05). The poorly educated disliked fish the most, and the higher frequency intake of fish resulted in a significantly higher percentile (p<0.001).

• The KIPS Transactions:PartA
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• v.11A no.7 s.91
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• pp.529-536
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• 2004

Smart homes integrated with sensors, actuators, wireless networks and context-aware middleware will soon become part of our daily life. This paper describes a context-aware middleware providing an automatic home service based on a user's preference. The context-aware middle-ware utilizes 6 basic data for learning and predicting the user's preference on the multimedia content : the pulse, the body temperature, the facial expression, the room temperature, the time, and the location. The six data sets construct the context model and are used by the context manager module. The log manager module maintains history information for multimedia content chosen by the user. The user-pattern learning and pre-dicting module based on a neural network predicts the proper home service for the user. The testing results show that the pattern of an in-dividual's preferences can be effectively evaluated and predicted by adopting the proposed context model.

• Journal of the Korean Society of Costume
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• v.64 no.7
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• pp.57-67
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• 2014

This study aims to provide visual data from analysis of the Depaysement approaches with new viewpoints to inspire and develop new fashion window design ideas. The literature and existing researches related to Depaysement were analyzed for theoretical review, and Depaysement expression approaches were identified by expression characteristics. Theme concepts using traditional Korean images, which could be applied to fashion window displays in Korea, were established, and K(Korean)-fashion design was created to develop fashion window display design. Then, the Depaysement fashion window display was executed using Adobe Illustrator and Photoshop. The results of this study are summarized below. 'Change of forms and materials' could visualize the factors inducing curiosity, which can directly stimulate the consumption sentiment lying latent in the mind of observers by assigning new values to fashion goods displayed inside windows. Unconscious experience and remarkable stories, which are not possible to encounter in an everyday setting, can be visualized through the window display in 'heterogeneous combination of objects.' 'The location change of an object' could express the refreshing and shocking scene to give weird anxiety and mental contradiction to observers by fashion window display, which could break fixed idea of human beings. 'The change of object awareness' could express contradiction and denial, which could liberate the unconsciousness lying latent inside observers through fashion window display. 'Change of spatial awareness' could create the design which maximized the fashion images of goods displayed by helping the observers to change the space of their unconsciousness selectively at their will through the fashion window display with hidden, strange, ambiguous and variable image like a riddle.

• Journal of the HCI Society of Korea
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• v.6 no.1
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• pp.35-42
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• 2011

Mobile context-awareness becomes an important research topic since mobile information browsing is still difficult due to the limitations of mobile devices. On the other hand, it is easier to gather more user contexts because mobile devices are equipped with more sensors. In this paper, we introduce a method for detecting local hot topics from microblogs on a mobile device. In order to detect user-related topics from microblogs, it exploits mobile user contexts such as location, activity, blogging history and social relationship. Through taking advantage of these contexts, it retrieves user-related microblogs and also infers user interests. It can filter out unrelated topics based on the inferred interests. Based on our proposed method, a mobile user can be aware of topics related to interests surrounding the user.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.4
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• pp.737-743
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• 2017

The intelligent life-log system proposed in this paper is intended to identify and record a myriad of everyday life information as to the occurrence of various events based on when, where, with whom, what and how, that is, a wide variety of contextual information involving person, scene, ages, emotion, relation, state, location, moving route, etc. with a unique tag on each piece of such information and to allow users to get a quick and easy access to such information. Context awareness generates and classifies information on a tag unit basis using the auto-tagging technology and biometrics recognition technology and builds a situation information database. In this paper, we developed an active modeling method and an application that recognizes expressionless and smile expressions using lip lines to automatically record emotion information.

• Journal of Technologic Dentistry
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• v.32 no.3
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• pp.221-232
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• 2010

Purpose: It is necessary for dental technicians exposed to hazardous chemicals in the dental laboratories to be informed of the various harmful effects of chemicals for their health and safety. The purposes of this study was to investigate the actual condition of the use of MSDS in dental laboratories and the recognition rate of MSDS for dental technicians. Methods: 231 dental technicians who were self-written questionnaire. The results were analyzed by SPSS 12.0. The answers to the questionnaire underwent frequency analysis, chi-square test and correlation analysis were performed to investigate association between health effects and recognition rate of chemical information. Results: The results from the effects of damage caused by chemicals 60.7%, and when it was less than 2 years working experience 47.6%. Currently any dental laboratories(rooms) was not furnished MSDS(0%) and even similar data furnishing rate was only 17.3%. Answer rate of 'Do not know about MSDS' was 73.6%. In addition to, education in the types and characteristics of chemicals(74.5%) does not receive all the higher education. For the question of 'To prevent human risks and accidents, is to provide chemical information needed', the answer rate of 'needed' was 87.2%. Moreover, the answer rate of 'To provide chemical information that could prevent accidents' was 76.6%. Therefore it was found that dental technicians need to be provided for chemical information. In addition, they wanted to get education related to chemicals used in the workplace(80.5%), and 90.9% was answered that they was willing to keep MSDS in they workplace. Conclusion: This study investigated the current dental laboratories(rooms) and the MSDS for the awareness and recognition of workers was very low, education was not being conducted properly. The dental laboratories(rooms) of the compact characteristics of the MSDS was not reasonably accessible and the furnishing location, dental laboratories(rooms) for the real item was needed for improvement. MSDS for dental technicians through education and promotion of information about chemicals and chemicals was to prevent health problems caused by the MSDS that will raise awareness of the necessity.

• Journal of the Institute of Electronics and Information Engineers
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• v.52 no.3
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• pp.127-135
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• 2015

Context-aware mobile cloud computing is a new promising paradigm that allows to improve user experience by analyzing contextual information such as user location, time of the day, neighboring devices and current activity. In this paper we provide performance study of context-aware mobile cloud computing system with Volare middleware. Volare monitors the resources and context of the device. and dynamically adapts cloud service requests accordingly, at discovery time or at runtime. This approach allows for more resource-efficient and reliable cloud service discovery, as well as significant cost savings at runtime. We also have studied the performance of context-aware mobile cloud computing for different quality of service (QoS) adaptation policies. Our simulations results show that when battery level is low and CPU usage is high and user cannot maintain the initial QoS, service cost is decreased according to current adaptation policy. In conclusion, the current adaptation policy suggested in this paper may improve user experience by providing a dynamically adapted service cost according to a situation.

• The Journal of the Korea Contents Association
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• v.12 no.9
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• pp.93-105
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• 2012

Dardenne brothers' films deals with minorities' issues who are shoved out to periphery of society, and especially takes interest in value-deprived human life in labor market of today. This study examines such social awareness of Dardenne brothers targeting their latest works awarded in Cannes Film Festival, , , , , . And analysis is attempted about Dardenne brothers' unique formal aesthetical style that exactly captures such social awareness. In Dardenne brothers' films a person shows up who faces abject matter of living. Their agony is closely connected to unemployment, and shows images of irresistible anxiety and alienation. Dardenne brothers' images are not only simple platform with contents embodied, but designed form showing essential thematic consciousness. Location and gaze, motion of camera capturing a character makes us to reflect the situation a character is facing in the world. There are almost no regard about plots, no dramatic devices, superficial and even straightforward, but Dardenne brothers' films have such independent formal aesthetic, which makes able to give endless tension.

• Journal of KIISE:Information Networking
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• v.35 no.5
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• pp.453-463
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• 2008

The missing child problem is no more a personal problem. It became a social problem that all parents must consider. To this, this study applies USN/RFID technology integrated with GIS for the prevention of missing child. Although RFID is not designed for location sensing, but now it is regarded as a device to facilitate real time location awareness. Such advantages of RFID can be integrated with 4S(GIS/GPS/LBS/GNSS) achieving much synergy effects. In order to prevent kidnapping and missing child, it is necessary to provide a missing child preventing system using a ubiquitous computing system. Therefore, the missing child preventing system has been developed using high-tech such as RFID, GPS network, CCTV, and mobile communication. The effectiveness of the missing child prevention system can be improved through an accurate location tracking technology. This study propose and test a location sensing system using the active RFID tags. This study verifies technical applied service, and presents a system configuration model. Finally, this paper confirms missing child prevention system utilization possibility.

• KIISE Transactions on Computing Practices
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• v.21 no.1
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• pp.64-69
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• 2015

Place awareness is an essential for location-based services that are widely provided to smartphone users. However, traditional GPS-based methods are only valid outdoors where the GPS signal is strong and also require symbolic place information of the physical location. In this paper, environmental sounds and images are used to recognize important aspects of each place. The proposed method extracts feature vectors from visual, auditory and location data recorded by a smartphone with built-in camera, microphone and GPS sensors modules. The heterogeneous feature vectors were then learned by an ensemble learning method that learns each group of feature vectors for each classifier respectively and votes to produce the highest weighted result. The proposed method is evaluated for place recognition using a data group of 3000 samples in six places and the experimental results show a remarkably improved recognition accuracy when using all kinds of sensory data comparing to results using data from a single sensor or audio-visual integrated data only.