• Journal of Korean Academy of Nursing
• /
• v.51 no.6
• /
• pp.758-768
• /
• 2021

Purpose: This study aimed to conduct a job analysis of nurse carecoordinators and to identify the frequency, importance and difficulty of each task of their job. Methods: A committee for developing a curriculum (DACUM) was formed and members of the committee defined nurse care coordinators' jobs and enumerated the duties, tasks and task elements by applying the DACUM technique. Then nurse care coordinators enrolled in the pilot project evaluated the frequency, importance and difficulty of each task. Results: From the job descriptions of nurse care coordinators, we identified 12 duties and 42 tasks. Each task comprised 1~5 task elements. Among tasks, 'assess the patient's general health status' was carried out most frequently. Nurse care coordinators perceived that 'check vital signs' and 'strengthen patient competence to promote health behaviors' were more important than all other tasks. The most difficult task was 'develop professionalism as a nurse care coordinator'. Conclusion: The nurse care coordinators' roles developed in this study will serve as the key guidelines for human resource management of care coordinators. Further, job specifications for nurse care coordinators need to be developed, which is necessary for designing education and training programs. We also need to integrate primary health care as an essential component in nursing education.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.31 no.9A
• /
• pp.884-891
• /
• 2006

A wireless sensor node is typically battery operated and energy constrained. Therefore it is critical to design efficient power management technique and scheduling technique. In this paper, we propose an OS-level power management technique for energy saving of wireless sensor node, it is called EA-SENTAS (Energy-Aware Sensor Node TAsk Scheduling). It can decrease the energy consumption of a wireless sensor node to use task scheduling technique that shut down components or use low power mode of each component when not needed. Simulation results show that EA-SENTAS saves energy up to 56 percent to compare with conventional duty cycle.

• Phonetics and Speech Sciences
• /
• v.2 no.4
• /
• pp.109-118
• /
• 2010

Using a speeded classification task (Garner, 1978), we investigated the perceptual interaction of distinctive features in Korean consonants. The main questions of this study were whether listeners can perceptually identify the component features that make up complex consonant sounds, whether these features are processed independently or dependently and whether there is a systematic hierarchy in their dependency. Participants were asked to classify syllables based on their difference in distinctive features in the task. Reaction times for this task were also gathered. For example, participants classified spoken syllables /ta/ and /pa/ as one category and /$t^ha$/ and /$p^ha$/ as another in terms of aspiration condition. In terms of articulation, participants classified /ta/ and /$t^ha$/ as one category and /pa/ and /$p^ha$/ as another. We assumed that the difference between their RTs represents their interdependency. We compared the laryngeal features and place features (Experiment 1), resonance features and place features (Experiment 2), and manner features and laryngeal features (Experiment 3). The results showed that distinctive features were not perceived in a completely independent way, but they had an asymmetric and hierarchical interdependency. The laryngeal features were found to be more independent compared to place and manner features. We discuss these results in the context of perceptual basis in phonology.

• The KIPS Transactions:PartA
• /
• v.18A no.6
• /
• pp.255-264
• /
• 2011

A sensor network is a special network that makes physical data sensed by sensor nodes and manages the data. The sensor network is a technology that can apply to many parts of field. It is very important to transmit the data to a user at real-time. The core of the sensor network is a sensor node and small operating system that works in the node. TinyOS developed by UC Berkeley is a sensor network operating system that used many parts of field. It is event-driven and component-based operating system. Basically, it uses non-preemptive scheduler. If an urgent task needs to be executed right away while another task is running, the urgent one must wait until another one is finished. Because of that property, it is hard to guarantee real-time requirement in TinyOS. According to recent study, Priority Level Scheduler, which can let one task preempt another task, was proposed in order to have fast response in TinyOS. It has restrictively 5 priorities, so a higher priority task can preempt a lower priority task. Therefore, this paper suggests Preemptive EDF(Earliest Deadline First) Scheduler that guarantees a real-time requirement and reduces average respond time of user tasks in TinyOS.

• Journal of Science Education
• /
• v.37 no.1
• /
• pp.170-185
• /
• 2013

The purpose of this study is to investigate a cognitive model of task commitment on biology classification inquiry. To achieve this goal, first, this study analyzed several literatures on task commitment in biology inquiry, and invented the tentative model of the task commitment. To investigate a tentative model invented, 2 main tasks were developed. These tasks were administered to 8 high-school students, first grade. Raw protocols were collected by thinking aloud method and a retrospective interview method. Collected protocols were converted to segmented protocols and coded by analyzing frame based invented model. The codes were analyzed. As a result, some problems were discovered, tentative model were revised. New analyzing frame based on Improved model were composed, and raw protocols were re-analyzed. Finally, a cognitive model of task commitment on biology classification inquiry was investigated. The investigated cognitive model of task commitment on biology classification inquiry was constructed 3 steps, 'Task commitment Induction', 'Task commitment Reinforcement', 'Task commitment Maintenance'. And each steps were consisted of several sub-factor. And commitment component were changed in each steps. Through this results, base information for strategy that improvement task commitment on biology classification inquiry is provided. Furthermore, the cognitive model of task commitment on biology classification inquiry will assist on evaluation and feedback by stage on task commitment.

• Proceedings of the IEEK Conference
• /
• 2004.08c
• /
• pp.764-767
• /
• 2004

The performance of a speech recognition system is generally degraded in telephone environment because of distortions caused by background noise and various channel characteristics. In this paper, data-driven temporal filters are investigated to improve the performance of a specific recognition task such as telephone speech. Three different temporal filtering methods are presented with recognition results for Korean connected-digit telephone speech. Filter coefficients are derived from the cepstral domain feature vectors using the principal component analysis.

• Journal of Mechanical Science and Technology
• /
• v.19 no.5
• /
• pp.1123-1130
• /
• 2005

In view of the lack of efficient coordination of interdependent task in the collaborative design system, the mechanisms for temporal and resource coordination problems are established based on Petri Nets, respectively. Both of the mechanisms are encapsulated and implemented in the coordination component so as to increase the flexibility and acceptability of the system. We model the CSCW system based on Petri Nets for simulation, analysis and optimization. A case study on the overhead traveling crane is given to demonstrate and validate our theory.

• Proceedings of the KSMRM Conference
• /
• 2002.11a
• /
• pp.101-101
• /
• 2002

PURPOSE： To separate activations from other physiological and artifactual component that contribute to functional MRI(fMRI) recordings and detect one consistently task-related component activated during the acupuncture stimulation, we try to take the ICA(Independent Component Analysis) method.

• Proceedings of the IEEK Conference
• /
• 2000.07b
• /
• pp.873-876
• /
• 2000

The information-theoretic approach to face recognition is based on the compact coding where face images are decomposed into a small set of basis images. Most popular method for the compact coding may be the principal component analysis (PCA) which eigenface methods are based on. PCA based methods exploit only second-order statistical structure of the data, so higher- order statistical dependencies among pixels are not considered. Independent component analysis (ICA) is a signal processing technique whose goal is to express a set of random variables as linear combinations of statistically independent component variables. ICA exploits high-order statistical structure of the data that contains important information. In this paper we employ the ICA for the efficient feature extraction from face images and show that ICA outperforms the PCA in the task of face recognition. Experimental results using a simple nearest classifier and multi layer perceptron (MLP) are presented to illustrate the performance of the proposed method.

• Journal of Families and Better Life
• /
• v.6 no.1
• /
• pp.189-203
• /
• 1988

The main objective of this dissertation is to find out the measurement methods of household work organization and manger style and the quantitative analysis methods of influential factors on household work organization and manager style. Subjects were homemakers living in metropolitan , medium and small cities. Questionnaires were sent to subjects and usable responses were 1139 out of 1239 received questionnaires. Data collected through both preliminary and main survey were analyzed by using frequencies, percentage, analysis of variance, chi-square test and pearson's correlation analysis. Results are as follows; 1) The degree of household work organization was distributed on upper middle level exceeding middle score. Among subsystems of household work such as task assignment , test regularization, task arrangement and task standardization. subjects show the highest positive attitude in task standardization. 2) The characteristics of management in household work have task centered orientation. By the prority of task centered orientation, the order was integrated style. dedicated style. It means that the most ideal style is an integrated style which accounts for one-third of the total homemakers. 3) Household organization's subsystems and household work manager style are related with socio-demographic variables. Integrated style is significantly related with homemaker's employment and having helpers for household work. homemakers who are employed and have helpers for household work exhibit high scores in task assignment and task arrangement. Dedicated style is significantly related with homemaker's age and the number of children. Homemakers who are older and have many children exhibit high scores in task assignment. Related style is significantly related with marriage duration, education level and income level. Homemakers who have a long marriage duration exhibit high scores in task assignment and who have high education and income level exhibit high scores in task regularization. Seperates style is significantly related with homemaker's age m marriage duration an family life cycle. homemakers who ar older, have a long marriage duration and are of late stage in family life cycle exhibit seperated style and high scores in organization. To summarize research findings, household work manger and household work organization are related with family life experiences, and task assignment is an influential variable on manager style. in conclusion, it is evident that household work organization emphasizes efficiency as cognitive component and such organization. Finally it is necessary to broaden this research considered social psychological variables. And also it needs to build household manger style models appropriate fro the characteristics of each style.