• School Mathematics
• /
• v.10 no.1
• /
• pp.23-42
• /
• 2008

The purpose of this study was to describe characteristics of thinking in elementary gifted students' solutions to algebraic tasks. Especially, this paper was focused on the students' strategies to develop generalization while problem solving, the justifications on the generalization and metacognitive thinking emerged in stildents' problem solving process. To find these issues, a case study was conducted. The subjects of this study were four 6th graders in elementary school-they were all receiving education for the gifted in an academy for the gifted attached to a university. Major findings of this study are as follows: First, during the process of the task solving, the students varied in their use of generalization strategies and utilized more than one generalization strategy, and the students also moved from one strategy toward other strategies, trying to reach generalization. In addition, there are some differences of appling the same type of strategy between students. In a case of reaching a generalization, students were asked to justify their generalization. Students' justification types were different in level. However, there were some potential abilities that lead to higher level although students' justification level was in empirical step. Second, the students utilized their various knowledges to solve the challengeable and difficult tasks. Some knowledges helped students, on the contrary some knowledges made students struggled. Specially, metacognitive knowledges of task were noticeably. Metacognitive skills; 'monitoring', 'evaluating', 'control' were emerged at any time. These metacognitive skills played a key role in their task solving process, led to students justify their generalization, made students keep their task solving process by changing and adjusting their strategies.

• Korean Security Journal
• /
• no.29
• /
• pp.223-249
• /
• 2011

In modern society, citizens' quality of life aspects of safety and crime prevention activities are actively considering the incidence of crime prevention in advance. It also can be quite important elicit the interest of who community members through effective crime prevention strategies. For crime prevention policies and techniques over time as more scientific and advanced methods are made. Today, A typical crime prevention strategies is private security zones and Crime Prevention Through Environmental Design (CPTED) is a corresponding to the new strategy. CPTED is a diversification can be called a crime prevention approach that emphasizes the principle of natural surveillance, access control, territoriality, activity support, maintenance and management. The defensible space of the space area related to crime prevention setting the activities of private security and CPTED determine. Also, the reality of crime prevention and protection should be considered space. The emphasis on proactive prevention of crime in modern society for the prevention of crime how to approach differing perspectives and disparate aspects of private security and CPTED. Technical and professional areas that overlap to some extent in a homogeneous aspect. Ultimately, CPTED is a crime prevention through space and environmental approach for crime. In addition, Ultimate goal of convergence, crime prevention, with the same or higher is required to study for the area after looking for the characteristics and limitations of private security and CPTED.

• Journal of Animal Environmental Science
• /
• v.11 no.1
• /
• pp.35-44
• /
• 2005

The objectives of this study were to develop an image processing algorithm for finding the sick or the dead layers(SDL) rearing in the multi-tier layer battery, which is a core technology of remote monitoring systems for layers, and to test the performance of algorithm developed in the experimental poultry housing. Based on the literature study and experiment, the standing up of layer was set as a criterion for judging layers whether sick or dead. Then, by the criterion set, an algorithm was developed. The image processing algorithm developed was tested how well it could and SDL at the experimental poultry housing. Test results showed that its monitoring correctness of layers standing up in the cages having all healthy layers was $92\%$, and $96\%$ in the cages having SDL. Therefore, it would be concluded that the image processing algorithm developed in this study was well suited to the purpose of development.

• The Journal of Korea Assosiation for Disability and Oral Health
• /
• v.13 no.2
• /
• pp.80-85
• /
• 2017

Angelman syndrome is a rare disorder caused by deletion or inactivation of genes on the maternally inherited chromosome 15. This neurodevelopmental disorder is characterized by developmental and intellectual delay, speech impairment, sleep disturbance, seizures, motor dysfunction, and frequent laughing or smiling. Orofacial characteristics include a prominent mandible, large mouth, prominent cheeks, a tendency to rest the tongue between the dental arches, excessive drooling, and excessive chewing behavior. Patients with this syndrome usually require general anesthesia even in a simple operation, because of risk of perioperative seizure during dental procedure. This is a case report about dental treatment of a 3-year-old female patient with Angelman syndrome under general anesthesia. This case suggests that the dental treatment under general anesthesia can be considered a safe component for the uncooperative, delayed developmental patients with underlying disease. Also, periodic dental exam appointment should be made to provide the patients with preventive treatments and to make them remain familiar with the dental environment.

• Korean Journal of Poultry Science
• /
• v.36 no.3
• /
• pp.239-246
• /
• 2009

Animal welfare is of considerable importance to European consumers and citizens, this being most recently confirmed in EU barometer studies. Researchers and others have long proposed that animal-based measures (measures taken on animals, e.g. their health and behaviour) can provide a valid indicator of animal welfare; since welfare is a characteristic of the individual animal. Therefore, a welfare assessment can be essentially based on animal-based measures, but with use of resource measures to provide the capacity to assess 'risk factors'. The first goal of this project was to develop a welfare monitoring system that enables assessment of welfare status through standardised conversion of welfare measures into accessible and understandable information. The acquired information on one hand provides feedback to animal unit managers about the welfare status of their animals, and on the other, information on the welfare status of animal-related products for consumers and retailers. The second goal of Welfare $Quality^{(R)}$ was to improve animal welfare by minimising the occurrence of harmful behavioural and physiological states, improving human-animal relationships, and providing animals with safe and stimulating environments. The different measurable aspects of welfare to be covered are turned into welfare criteria. The criteria reflect what is meaningful to animals as understood by animal welfare science. Once all the measures have been performed on an animal unit, a bottom-up approach is followed to produce an overall assessment of animal welfare on that particular unit: first the data collected (i.e. values obtained for the different measures on the animal unit) are combined to calculate criterion-scores; then criterion-scores are combined to calculate principle-scores; and finally the animal unit is assigned to a welfare category according to the principle-scores it obtained.

• Journal of Korea Multimedia Society
• /
• v.11 no.3
• /
• pp.301-314
• /
• 2008

The existing event recognition is accomplished with the limited systematic foundation, and thus much longer learning time is needed for emergency scenario interpretation due to large scale of probability data. In this paper, we propose a method for nile-based event recognition of an independent object(human) which extract a feature vectors from the object and analyze the behavior pattern of each object and interpretation of emergency scenarios using a probability and object's events. The event rule of an independent object is composed of the Primary-event, Move-event, Interaction-event, and 'FALL DOWN' event and is defined through feature vectors of the object and the segmented motion orientated vector (SMOV) in which the dynamic Bayesian network is applied. The emergency scenario is analyzed using current state of an event and its post probability. In this paper, we define diversified events compared to that of pre-existing method and thus make it easy to expand by increasing independence of each events. Accordingly, semantics information, which is impossible to be gained through an.

• Journal of Digital Contents Society
• /
• v.15 no.4
• /
• pp.449-455
• /
• 2014

Detection of moving objects is a fundamental task in most of the computer vision applications, such as video surveillance, activity recognition and human motion analysis. This is a difficult task due to many challenges in realistic scenarios which include irregular motion in background, illumination changes, objects cast shadows, changes in scene geometry and noise, etc. In this paper, we propose an foreground extraction algorithm based on codebook, a database of information about background pixel obtained from input image sequence. Initially, we suppose a first frame as a background image and calculate difference between next input image and it to detect moving objects. The resulting difference image may contain noises as well as pure moving objects. Second, we investigate a codebook with color and brightness of a foreground pixel in the difference image. If it is matched, it is decided as a fault detected pixel and deleted from foreground. Finally, a background image is updated to process next input frame iteratively. Some pixels are estimated by input image if they are detected as background pixels. The others are duplicated from the previous background image. We apply out algorithm to PETS2009 data and compare the results with those of GMM and standard codebook algorithms.

• Journal of Science and Technology Studies
• /
• v.13 no.2
• /
• pp.137-172
• /
• 2013

Globally, awareness about obesity is increasing rapidly. In Korea, obesity is recognized as a disease and steps are being taken to treat it. From the health governance point of view, such standardized measures amplify the risk of obesity and thus play an important part in the prevention of the disease. In this context, various obesity treatments act as a medium for the problem-solving process. In recent years, obesity surgery has been viewed as a rational solution to the problem of obesity. In the context of standardization of treatment, Callon's "Process of Translation" in STS theories highlights the importance of the central actor (Obligatory Passage Point; OPP). However, in the case of obesity, it is difficult to identify a single OPP to project different perspectives of an actor's needs. "Lapband surgery" often acts as a "boundary object" in this context. This article assesses this absence of central actors in the process of problem solving through a case study of adoption of Lapband surgery in Korea. Further, we attempt to suggest an analytical framework with a boundary object and multiple translation concepts to aid solving the problem of obesity.

• The Journal of the Korea Contents Association
• /
• v.20 no.2
• /
• pp.607-625
• /
• 2020

This research tries to examine the possibility of non-regular workers' electronic panopticon experience and the possibility of secularization, and get which meaning of life through that. Seven participants were selected for this Ethnography Research; Five young workers and two self-employees. The research is as follows. First, the media system and medium such as the smartphone and social media operate as the electronics panopticon device which constantly being watched. Second, this kind of electronics panopticon experience tries to observe the discipline of itself and experiencing de-extermination which lost its diversity by intended to internalize the actions demanded by the employer. Finally, the participants performed secularization by resisting power devices through smart devices and media and seeking workers' rights and interests through the community. Therefore, this research confirms the media could function as electronic panopticons device and as a device for the possibility of secularization.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.18 no.1
• /
• pp.72-77
• /
• 2008

Identification of humans from multiple view points is an important task for surveillance and security purposes. For optimal performance the system should use the maximum information available from sensors. Multimodal biometric systems are capable of utilizing more than one physiological or behavioral characteristic for enrollment, verification, or identification. Since gait alone is not yet established as a very distinctive feature, this paper presents an approach to fuse face and gait for identification. In this paper we will use the single camera case i.e both the face and gait recognition is done using the same set of images captured by a single camera. The aim of this paper is to improve the performance of the system by utilizing the maximum amount of information available in the images. Fusion in considered at decision level. The proposed algorithm is tested on the NLPR database.