• The Korean Journal of Nuclear Medicine
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• v.39 no.6
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• pp.413-420
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• 2005

Purpose: Neuroreceptor PET studies require 60-120 minutes to complete and head motion of the subject during the PET scan increases the uncertainty in measured activity. In this study, we investigated the effects of the data-driven head mutton correction on the evaluation of endogenous dopamine release (DAR) in the striatum during the motor task which might have caused significant head motion artifact. Materials and Methods: $[^{11}C]raclopride$ PET scans on 4 normal volunteers acquired with bolus plus constant infusion protocol were retrospectively analyzed. Following the 50 min resting period, the participants played a video game with a monetary reward for 40 min. Dynamic frames acquired during the equilibrium condition (pre-task: 30-50 min, task: 70-90 min, post-task: 110-120 min) were realigned to the first frame in pre-task condition. Intra-condition registrations between the frames were performed, and average image for each condition was created and registered to the pre-task image (inter-condition registration). Pre-task PET image was then co-registered to own MRI of each participant and transformation parameters were reapplied to the others. Volumes of interest (VOI) for dorsal putamen (PU) and caudate (CA), ventral striatum (VS), and cerebellum were defined on the MRI. Binding potential (BP) was measured and DAR was calculated as the percent change of BP during and after the task. SPM analyses on the BP parametric images were also performed to explore the regional difference in the effects of head motion on BP and DAR estimation. Results: Changes in position and orientation of the striatum during the PET scans were observed before the head motion correction. BP values at pre-task condition were not changed significantly after the intra-condition registration. However, the BP values during and after the task and DAR were significantly changed after the correction. SPM analysis also showed that the extent and significance of the BP differences were significantly changed by the head motion correction and such changes were prominent in periphery of the striatum. Conclusion: The results suggest that misalignment of MRI-based VOI and the striatum in PET images and incorrect DAR estimation due to the head motion during the PET activation study were significant, but could be remedied by the data-driven head motion correction.

• Journal of Korean Academy of Nursing
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• v.45 no.2
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• pp.240-250
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• 2015

Purpose: The purpose of this study was to validate the Korean version of the Ethical Leadership at Work questionnaire (K-ELW) that measures RNs' perceived ethical leadership of their nurse managers. Methods: The strong validation process suggested by Benson (1998), including translation and cultural adaptation stage, structural stage, and external stage, was used. Participants were 241 RNs who reported their perceived ethical leadership using both the pre-version of K-ELW and a previously known Ethical Leadership Scale, and interactional justice of their managers, as well as their own demographics, organizational commitment and organizational citizenship behavior. Data analyses included descriptive statistics, Pearson correlation coefficients, reliability coefficients, exploratory factor analysis, and confirmatory factor analysis. SPSS 19.0 and Amos 18.0 versions were used. Results: A modified K-ELW was developed from construct validity evidence and included 31 items in 7 domains: People orientation, task responsibility fairness, relationship fairness, power sharing, concern for sustainability, ethical guidance, and integrity. Convergent validity, discriminant validity, and concurrent validity were supported according to the correlation coefficients of the 7 domains with other measures. Conclusion: The results of this study provide preliminary evidence that the modified K-ELW can be adopted in Korean nursing organizations, and reliable and valid ethical leadership scores can be expected.

• Journal of Korean Academy of Nursing
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• v.35 no.6
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• pp.1004-1013
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• 2005

Purpose: The main purpose of this study was to explore nurse-patient interaction behaviors and patient satisfaction with the interaction in the emergency department. Method: This study used video technology to record complete conversations between the nurse and patient, thus obtaining the interactions naturally occurring in a clinical setting. The participants were 28 nurses and 63 patients in the emergency department at one university hospital located in Seoul. The data was collected from November, 2002 to April, 2003. The video recordings were observed for 4 hours for each case and coded using an adapted version of Roter's Interaction Analysis System (RIAS), which yields frequencies of thirty-six types of interaction behaviors. Result: The information exchange related to therapeutic items including medications, simple orientation, and situational positive talk were characterized in the nurses' interaction behaviors. Giving information about one's own condition, questions about therapeutic regimen, and showing worry were characterized in patient interaction behaviors. The patients' satisfaction with the interaction was 37.75.9 (range 9-45). Conclusion: The emergency nurse-patient interaction behavior was task-related. The results suggest that identification of effective interaction behavior in the Emergency department and an interaction skill training program could increase patient satisfaction.

• IEMEK Journal of Embedded Systems and Applications
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• v.3 no.2
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• pp.102-108
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• 2008

This paper describes a mapping and localization based on wave algorithm[11] and Kalman filter for effective SLAM. Each robot in a multi robot system has its own task such as building a map for its local position. By combining their data into a shared map, the robot scans actively seek to verify their relative locations. For simultaneous localization the algorithm which is well known as Kalman Filter (KF) is used. For modelling the robot position we wish to know three parameters (x, y coordinates and its orientation) which can be combined into a vector called a state variable vector. The Kalman Filter is a smart way to integrate measurement data into an estimate by recognizing that measurements are noisy and that sometimes they should ignored or have only a small effect on the state estimate. In addition to an estimate of the state variable vector, the algorithm provides an estimate of the state variable vector uncertainty i.e. how confident the estimate is, given the value for the amount of error in it.

• Journal of Korean Academy of Nursing
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• v.40 no.1
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• pp.99-109
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• 2010

Purpose: The purpose of this study was to identify effective nurse interaction patterns with patients in the emergency department. Methods: For this study, video technology was used to record complete conversations between the nurse and patient. The participants were 28 nurses and 63 patients in the emergency department at one university hospital located in Seoul. The data were collected from November, 2002 to April, 2003. The video recordings were observed for 4 hr for each case and coded using an adapted version of Roter's Interaction Analysis System (RIAS). The data were analyzed using cluster analysis to identify the patterns of nurse-patient interaction. Results: Cluster analysis revealed 4 distinct nurse interaction patterns; 1) "closed" characterized by orientation and negative talk, 2) "positive" characterized by positive affective talk, 3) "informative and directing" characterized by task-focused behavior including data gathering, and giving information about medical condition and treatment, 4) "facilitative" characterized by balance of psychosocial and biomedical topics. Patient satisfaction was highest in the facilitative interaction pattern. Conclusion: The patient centered interaction pattern, balancing information exchange and psychosocial exchange are the most effective interactions in the emergency department, suggesting that effective interaction skill is a core clinical nursing intervention in acute care.

• Journal of the Korean Home Economics Association
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• v.49 no.1
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• pp.67-78
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• 2011

The purposes of this study were to explore the differences in maternal parenting behaviors, parents' conflict, social support, and social competence according to boys' and girls' depression level. The participants of this study were 150 children of 4 to 6 grades and their teachers from one elementary school in Seoul. The data were analyzed using descriptive statistics and t-test. The result were as follows: Firstly, depressive boys perceived less maternal warmth and more parents' conflict than non-depression group. And boys of depression group had less task orientation than non-depression group. Secondly, depressive girls perceived less maternal warmth, supervision, and parents' support, and more parents' conflict than non-depression group. And girls of depression group were rated having less peer social skills, frustration tolerance than non-depression group by teachers.

• Journal of Environmental Impact Assessment
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• v.15 no.3
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• pp.165-178
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• 2006

Environmental Impact Assessment (EIA) and Environmental Management Systems (EMS) are perceived by many to be separate environmental tools. EIA serves as a systematic and predictive tool for assessing the potentially significant impacts of developments on the environment. An EMS, on the other hand, is used to consider the key impacts of operational businesses on the environment. The main difference to note is that during the EIA process impacts on developments are predicted. A proposed development has yet to be built and therefore an element of uncertainty is associated with these assessments. With an EMS, the business or organization's processes are already in operation. Even though there is also an element of prediction involved, it is a comparatively easier task to investigate what the environmental impacts of these processes are. However, in contrast with the orientation of EIA to further development actions, EMS involves the review, assessment and incremental improvement of an existing organization's environmental effects. EMS can thus be regarded as a continuation of EIA principles into the operational stage of a policy, plan, program and project. EIA may be carried out without fully supporting necessary informations to EMS.

• Industrial Engineering and Management Systems
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• v.6 no.1
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• pp.40-48
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• 2007

This study investigated the optimum positions and warning foreperiod for auditory signals with an experiment on spatial stimulus-response (S-R) compatibility effects. The auditory signals were presented at the front-right, front-left, rear-right, and rear-left positions from the subjects, whose reaction times and accuracies at different spatial mapping conditions were examined. The results showed a significant spatial stimulus-response compatibility effect in which faster and more accurate responses were obtained in the transversely and longitudinally compatible condition while the worst performance was found when spatial stimulus-response compatibility did not exist in either orientation. It was also shown that the transverse compatibility effect was found significantly stronger than the longitudinal compatibility effect. The effect of signal position was found significant and post hoc test suggested that the emergent warning alarm should be placed on the front-right position for right-handed users. The warning foreperiod prior to the signal presentation was shown to influence reaction time and a warning foreperiod of 3 s is found optimal for the 2-choice auditory reaction task.

• Proceedings of the Korea Contents Association Conference
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• 2007.11a
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• pp.599-602
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• 2007

Generally, the mobile robot navigation with obstacle avoidance is one of the key issues to be looked into for successful applications of autonomous mobile robots. In this paper, the Univector field based method is proposed for mobile robot to accomplish the obstacle avoidance and the robot orientation at the target position. Univector field method guarantees the desired posture of the robot at the target position. But it is not effective Univector to avoid obstacles. To solve this problem, modified univector field is used. With this proposed method, robot navigation task becomes easier and effectively.

• Journal of Multimedia Information System
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• v.2 no.2
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• pp.233-240
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• 2015

Mobile devices are becoming increasingly sophisticated and the latest generation of smartphones now incorporates many diverse and powerful sensors. These sensors include acceleration sensor, magnetic field sensor, light sensor, proximity sensor, gyroscope sensor, pressure sensor, rotation vector sensor, gravity sensor and orientation sensor. The availability of these sensors in mass-marketed communication devices creates exciting new opportunities for data mining and data mining applications. In this paper, we describe and evaluate a system that uses phone-based accelerometers to perform activity recognition, a task which involves identifying the physical activity that a user is performing. To implement our system, we collected labeled accelerometer data from 10 users as they performed daily activities such as "phone detached", "idle", "walking", "running", and "jumping", and then aggregated this time series data into examples that summarize the user activity 5-minute intervals. We then used the resulting training data to induce a predictive model for activity recognition. This work is significant because the activity recognition model permits us to gain useful knowledge about the habits of millions of users-just by having them carry cell phones in their pockets.