• Journal of the Korean Society for Library and Information Science
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• v.44 no.1
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• pp.5-28
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• 2010

This study analyzed the characteristics of library service users' information seeking behavior based on the grounded theory methodology. After interviewing twelve undergraduate students, the researcher coded the data based on the grounded theory methodology. As a result of the entire coding processes, this study constructed the library service users' information seeking behavior model. According to the model, the following ten factors are important when explaining library service users' information seeking behavior: the information users' environment, other people, users' experiences, recognition of information sources, information provided, memory, a need-creating environment, information gathering, information use, and satisfaction and/or dissatisfaction.

• Journal of Korea Multimedia Society
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• v.15 no.5
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• pp.632-638
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• 2012

A smartphone is one of the best candidate devices on which context based services can be provided because a smartphone has considerably powerful computing ability and large memory capacity and it is a personal belonging. One of the most important factors of context is the moving status of the smartphone. For example, if the smartphone is not moving and the user is in an exhibition room then we can conclude that the user is watching an exhibit. This paper proposes an algorithm of determining the moving status of a smartphone for the first time. Our test results showed that the proposed algorithm is 100% correct.

• Korean Journal of Cognitive Science
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• v.16 no.4
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• pp.255-270
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• 2005

Memory for repeated items is better if they are repeated in a spaced than in a massed fashion (Sparing effect). To investigate the neural mechanisms of sparing effect and successful encoding, lags of repetition were manipulated at encoding stage in an event-related MU study. The behavioral data showed typical spacing effect on recognition judgment, and greater activity for items that were repeated in a spaced fashion than for items that were repeated in a massed fashion has been observed in dorsolateral frontal cortex(DLFC) and ventrolateral frontal cortex(VLFC) of left hemisphere. These conical regions also showed greater activity for novel items than for items that were repeated in a massed fashion. These findings suggest that sparing effect and its relevant successful encoding are attributed to higher level of attentional control and semantic processing.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 2001.09a
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• pp.23-27
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• 2001

Making the safety situation from the various work system is very important in the industrial fields. The proposed neural network technique is the real titre computation method based theory of inter-node diffusion for searching the safety distances from the sudden appearance-objests during the work driving. The main steps of the distance computation using the theory of stereo vision like the eyes of man is following steps. One is the processing for finding the corresponding points of stereo images and the other is the interpolation processing of full image data from nonlinear image data of obejects. All of them request much memory space and titre. Therefore the most reliable neural-network algorithm is drived for real time recognition of obejects, which is composed of a dynamic programming algorithm based on sequence matching techniques. And the real time reconstruction of nonlinear image information is processed through several simulations. I-D LIPN hardware has been composed, and the real time reconstruction is verified through the various experiments.

• Proceedings of the Polymer Society of Korea Conference
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• 2006.10a
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• pp.334-334
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• 2006

Helical polymers like polyisocyanates with single screw sense are essential to exhibit sophisticated functions like molecular recognition, self-replication, chirality memory and catalytic activity. One approach that has not been explored is the effect on handedness of the polyisocyanates through end-capping with a chiral residue. Induction of chirality in poly(n-hexyl isocyanate) was studied by end-capping with chiral (R and S) 2-bromo-3-methylbutyryl chloride(R-BMBC and S-BMBC). We have shown that a control over living anionic polymerization of HIC by using a suitable initiator affords an opportunity to introduce chiral end-groups with 100% yield and in high purity. This has resulted in helicity induction through extended lengths several orders of magnitude.

• Journal of Korean Academy of Nursing
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• v.39 no.2
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• pp.217-228
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• 2009

Purpose: Guided by Newman's theory of health as expanding consciousness, this study was done to explore the health experience of adolescents having depression. Methods: The researcher engaged in six to eight in-depth interviews with six adolescents. To begin the dialog, the researcher asked each participant to recount the first important memory he/ she had. All the narrative and diagram sharing between the researcher and participants were summarized according to recognized patterns and later elaborated in following interviews based on Newman's praxis methodology. Results: The significant individual pattern of early health experience was during the binding stage. At the turning point, individual patterns for participants revealed a personal journey of self-discovery and then emergence of reflecting behaviors. After the turning point, the participants changed as they evolved from the initial period of disruption and disorganization to organization at a higher level. The results suggest that adolescents who are depressive find new ways of relating to friends, family, healthcare providers, and the community by expanding their consciousness. Conclusion: Newman's praxis methodology is a good way of helping and studying adolescents with depression because it emphasizes participant-nurse/researcher partnership and pattern recognition as nursing practice.

• The Journal of the Acoustical Society of Korea
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• v.14 no.1
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• pp.13-21
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• 1995

In this paper, we improve an image classifier algorithm based on neural network learning. It consists of two steps. The first is input pattern generation and the second, the global neural network implementation using an improved back-propagation algorithm. The feature vector for pattern recognition consists of the codebook data obtained from self-organization feature map learning. It decreases the input neuron number as well as the computational cost. The global neural network algorithm which is used in classifier inserts a control part and an address memory part to the back-propagation algorithm to control weights and unit-offsets. The simulation results show that it does not fall into the local minima and can implement easily the large-scale neural network. And it decreases largely the learning time.

• Journal of information and communication convergence engineering
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• v.5 no.4
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• pp.389-393
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• 2007

The distribution of donated blood for medical purpose is an area that presents many challenges. In order to establish a comprehensive solution, the current patterns of distribution must be reviewed and problems related to it need to be clearly understood. This paper introduces 'Radio Frequency Identification (RFID) System', as a potential solution to some of the problems which arise in the process of blood supply distribution, and a way to systematically manage the blood supply. For the various possible RFID systems, the reader and tag must be suitable for the purpose of blood distribution. A database has been designed that can recognize tags and objects in a ubiquitous RFID blood distribution system. In this paper, we design the real-time software to control the RFID reader system and transponder, using the EEPROM memory by RFID. The experimental results confirm that the transmission rate of 3.9kbps for RF is 125 KHz. The electric power usage of transponder chip is $100{\mu}W$, with the recognition distance is about 7cm range.

• Journal of Korean Society for Quality Management
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• v.23 no.3
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• pp.69-83
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• 1995

In a large number of literature on of inspection tasks, one of the most consistent findings is the existence of large and consistent differences among inspectors. It is possible that the individual difference is described by the difference of cognitive skills, because cognitive skills are required more than manual skills in inspection tasks. Therefore, a set of cognitive factors in human information processing may underly human performance in inspection tasks. In this study, a cognitive skill was described as the relative importance of the cognitive factors involved. A hierarchical task analysis and a fuzzy hierarchical analysis were used to represent how the importance of cognitive factors contribute to inspection performance. An experiment was conducted using the computer simulations of PCB inspection tasks. The results revealed that the subject group with better performance showed the importance weights of cognitive factors in the following rank; (attention, perception, judgement, classification, recognition)<(detection)$\ll$(memory). The results of the experiment can serve as a selection criterion for efficient inspection performance and the information of skilled learning for an inspection training program. The usefullness of a hierarchical task analysis and a fuzzy hierarchical task analysis for the analysis of cognitive tasks are also confirmed.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.24 no.7 s.178
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• pp.1661-1672
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• 2000

An immune system has powerful abilities such as memory, recognition and learning how to respond to invading antigens, and has been applied to many engineering algorithms in recent year. In this pap er, the combined optimization algorithm (Immune- Genetic Algorithm: IGA) is proposed for multi-optimization problems by introducing the capability of the immune system that controls the proliferation of clones to the genetic algorithm. The optimizing ability of the proposed combined algorithm is identified by comparing the result of optimization with simple genetic algorithm for two dimensional multi-peak function which have many local optimums. Also the new combined algorithm is applied to minimize the total weight of the shaft and the transmitted forces at the bearings. The inner diameter oil the shaft and the bearing stiffness are chosen as the design variables. The dynamic characteristics are determined by applying the generalized FEM. The results show that the combined algorithm and reduce both the weight of the shaft and the transmitted forces at the bearing with dynamic conatriants.