• Title/Summary/Keyword: Task state

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Changes in State Curiosity and State Anxiety in Science Learning Depending on Confronting Violation of Expectation (과학 학습에서 불일치 현상 대면 여부에 따른 상태호기심 및 상태불안의 변화)

  • Kang, Jihoon;Kim, Jina
    • Journal of Korean Elementary Science Education
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    • v.41 no.3
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    • pp.521-537
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    • 2022
  • State curiosity and state anxiety in the science learning have a great influence on academic performance and achievement. Since the levels of state curiosity and anxiety can change at any moment, it is essential to identify the levels of student's state curiosity and state anxiety throughout the course of science learning. Accordingly, we assessed the changes in state curiosity and anxiety levels sensed by 5th- and 6th-grade elementary school students depending on their exposure to the violation of expectation. To this end, we classified science learning into three situations: confronting a scientific task, checking the result, and learning science concepts. As a result, there was no significant difference in state curiosity level of the nVOE group who confronting the result consistent with their expectations in checking the result after confronting a scientific task, but the state curiosity level of the VOE group who facing violation of their expectation increased. In the VOE groups, there was no significant change in the state curiosity level of the VOE-R group who correctly inferred the reason for the result, but that of the VOE-FR group who could not correctly inferred increased. The state anxiety levels of the VOE and nVOE groups decreased after checking the result of the task. The state anxiety level also declined in the VOE-R group. In contrast, there was no significant change in state anxiety level of the VOE-FR group. In learning science concepts of the result after checking the result, the state curiosity of the VOE, nVOE, and VOE-FR group all faded. No significant change was observed in the state anxiety level of the nVOE group, whereas the VOE, VOE-R, and VOE-FR group presented a decreased state anxiety. This study discusses the educational implication of these findings and its outcomes are expected to broaden the understanding of emotional states of students in science learning.

Feasibility study of bonding state detection of explosive composite structure based on nonlinear output frequency response functions

  • Si, Yue;Zhang, Zhou-Suo;Wang, Hong-fang;Yuan, Fei-Chen
    • Steel and Composite Structures
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    • v.24 no.4
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    • pp.391-397
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    • 2017
  • With the increasing application of explosive composite structure in many engineering fields, its interface bonding state detection is more and more significant to avoid catastrophic accidents. However, this task still faces challenges due to the complexity of the bonding interface. In this paper, the concept of nonlinear output frequency response functions (NOFRFs) is introduced to detect the bonding state of explosive composite structure. The NOFRFs can describe the nonlinear characteristics of nonlinear vibrating system. Because of the presence of the bonding interface, explosive composite structure itself is a nonlinear system; when bonding interface of the structure is damaged, its dynamic characteristics show enhanced nonlinear characteristic. Therefore, the NOFRFs-based detection index is proposed as indicator to detect the bonding state of explosive composite pipes. The experimental results verify the effectiveness of the detection approach.

Analysis of Transfer Lines with Finite Storage Buffers (제한된 크기의 버퍼를 가진 생산 시스템의 분석)

  • 허성관;하정진
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.15 no.26
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    • pp.151-157
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    • 1992
  • This paper presents a method for analyzing the transfer lines with finite storage buffers. Each machine spends a random amount of time processing each material. This transfer line can be modeled by the tandem queueing system with finite buffers. The great dimensionality of the state space renders the analysis of such system a formidable task. We propose an efficient algorithm to obtain the marginal state probabilities based on the exact algorithm for the two-machine system. Other performance measures, such as the utilization, the blocking probability, the average sojourn time, and the average queue length, can be easily calculated.

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Pupil Size Variability as an Index of Autonomic Activity - from the Experiments of Posture, Sleepiness and Cognitive Task (자율신경활성도의 지표로서의 동공크기 변이율 -자세변화, 졸음, 인지과제 실험으로부터)

  • Lee, Jeung-Chan;Kim, Ji-Eun;Park, Kyung-Mo
    • Journal of Biomedical Engineering Research
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    • v.28 no.1
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    • pp.55-65
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    • 2007
  • This paper sought to investigate pupil size variability, pupil size parameters in terms of time domain and frequency domain, the autonomic activity change induced by posture change, degree of sleepiness and cognitive task (math task). With a specially designed pupil image acquisition system in the dark room, these three kinds of experiments were performed to induce a dominant state of sympathetic or parasympathetic activation. Electrocardiogram and pupil size were measured in all the experiments. Based on three experiments, we calculated heart rate variability. In the pupil size analysis, we calculated the mean and standard deviation of pupil size (in time domain), and proposed several frequency bands that exhibit different autonomic activation between different sessions. The results indicate that in terms of heart rate variability, posture change exhibited significant differences but not between sleepiness level, or between cognitive task. Pupil sizes differed only during the postures. And we found some frequency bands that correlated with autonomic activation in each experiment. While heart rate variability reflects posture change that need cardiac control, pupil size variability reflects not only posture induced autonomic activation but sleepiness and cognitive load, which is processed in the brain, in time and frequency domain parameter.

Role Identification of Home Health Nursing Specialist (가정전문간호사의 역할 규명)

  • Kim, Hae-Young
    • Journal of Home Health Care Nursing
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    • v.13 no.1
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    • pp.33-45
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    • 2006
  • Purpose : The purpose of this study is to present the desirable level of home health care services by identifying the roles and activities by task of home health nursing specialists as well as to raise the level of professionalism in home health care services. Method : This is a methodological study. The roles and activities by task were identified through a review of literature and a state-of-the-practice survey, and were structured into a questionnaire after being reviewed and modified through a consensus of experts. The field survey was conducted on 136 home health nursing specialists at medical institutions, public health centers. public medical institutions, non-governmental organizations, and religious institutions in Seoul, Gyeonggi Province. Incheon, Busan, Daegu, and Gwanggju from June 4 to August 4. 2004. Seven roles. 34 tasks and 130 activities were identified in association with home health nursing specialists. Result : The roles of home health nursing specialists were identified as professional nursing service provider, advisor, educator, administrator, case manager, researcher and leader. Under these roles. 34 tasks and 134 task-specific activities were identified. Conclusion : The the roles and activities of home health nursing specialist identified in this study can be used in various home health care settings. These the roles and activities should provide the evaluation criteria of home health care services for institutions with existing home health care programs. An evaluation tool should be developed in order to ensure the hish quality of home health care services.

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A force-Guided Control with Adaptive Accommodation Bor Complex Assembly

  • Sungchul Kang;Kim, Munsang;Lee, Chong W.;Lee, Kyo-Il
    • 제어로봇시스템학회:학술대회논문집
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    • 1998.10a
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    • pp.14-19
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    • 1998
  • In this paper, a target approachable force-guided control with adaptive accommodation for the complex assembly is presented. The complex assembly (CA) is defined as a task which deals with complex shaped parts including concavity or whose environment is so complex that unexpected contacts occur frequently during insertion. CA tasks are encountered frequently in the field of the manufacturing automation and various robot applications. To make CA successful, both the bounded wrench condition and the target approachability condition should be satisfied simultaneously during insertion. By applying the convex optimization technique, an optimum target approaching twist can be determined at each instantaneous contact state as a global minimum solution. Incorporated with an admissible perturbation method, a new CA algorithm using only the sensed resultant wrench and the target twist is developed without motion planning nor contact analysis which requires the geometry of the part and the environment. Finally, a VME-bus based real-time control system is built to experiment various CA task. T-insertion task as a planar CA and double-peg assembly task as a spacial assembly were successfully executed by implementing the new force-guided control with adaptive accommodation.

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Range Segmentation of Dynamic Offloading (RSDO) Algorithm by Correlation for Edge Computing

  • Kang, Jieun;Kim, Svetlana;Kim, Jae-Ho;Sung, Nak-Myoung;Yoon, Yong-Ik
    • Journal of Information Processing Systems
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    • v.17 no.5
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    • pp.905-917
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    • 2021
  • In recent years, edge computing technology consists of several Internet of Things (IoT) devices with embedded sensors that have improved significantly for monitoring, detection, and management in an environment where big data is commercialized. The main focus of edge computing is data optimization or task offloading due to data and task-intensive application development. However, existing offloading approaches do not consider correlations and associations between data and tasks involving edge computing. The extent of collaborative offloading segmented without considering the interaction between data and task can lead to data loss and delays when moving from edge to edge. This article proposes a range segmentation of dynamic offloading (RSDO) algorithm that isolates the offload range and collaborative edge node around the edge node function to address the offloading issue.The RSDO algorithm groups highly correlated data and tasks according to the cause of the overload and dynamically distributes offloading ranges according to the state of cooperating nodes. The segmentation improves the overall performance of edge nodes, balances edge computing, and solves data loss and average latency.

A Study on the Effect of the Congruency between Contingent Variables and Leader Style for the the State of the Subordinate's Perception of Expectancy (러더행동과 상황변수와의 적합성이 부하의 기대 지각상태에 미치는 연구)

  • Song, Gyo-Seok;Lee, Won-Hang;Lee, Kwang-Hee
    • Journal of Industrial Convergence
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    • v.5 no.2
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    • pp.77-97
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    • 2007
  • The 420 employees as subject for emprical analysis were selected in Banwol & Sihwa Industrial Complex in Ansan area. This study shows the followings; 1. In the group where the task is unstructured and the subordinate's ability is high, the achievement - oriented and participative leader behavior have positive impact on the subordinate's expectancy. 2. In the group where the task is unstructured and the subordinate's ability is low, the directive leader behavior has no significant impact on the subordinate's expectancy. 3. In the group where the task is structured and the subordinate's ability is high, the supportive leader behavior has positive impact on the subordinate's expectancy. 4. In the group where the task is structured and the subordinate's ability is low, only supportive leader behavior has positive impact on the subordinate's expectancy, and the directive leader behavior has on significant impact. Finally this study indicates the implication for future theoretical and empirical delelopment.

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Healing Effect Assessment by the Autonomic Nervous Responses Using the Aroma-Treated Fabrics (자율신경반응에 의한 방향성 의류소재의 힐링효과 평가)

  • Park, Hae-Li;Cho, Gil-Soo
    • Science of Emotion and Sensibility
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    • v.18 no.2
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    • pp.19-30
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    • 2015
  • The healing effect of the aroma treated fabrics with lavender and lemon aromas was investigated by assessing the autonomic nervous responses of human body. For this cause Lemon and lavender microcapsules were coated on a cotton fabric using a water-based acrylic binder, respectively. And the study created a total of four aroma treated fabrics at a concentration of 2% and 5% respectively. Electrocardiogram(ECG), skin conductance, and Blood flow, of ten participants were measured for 30 sec at a stable condition, at a stress status (working memory task), and at a stimulation status (after rubbing aroma treated fabrics). Subjective sensibilities of the aromas were also evaluated. With regard to the responses of the autonomic nervous system, in order to understand how the values gained after the normalization process would cause different physiological signals between the stable state and the aroma-stimulated state as well as between the stress state and the aroma-stimulated state, the study conducted a non-parametric test, friedman test as well and analyzed tendencies. LF/HF turned out to be significantly different to the stress state, and according to the results of the post-hoc comparison, lemon 5% presented statistically significant differences among the lavender 2%, lavender5%, lemon2%. Lemon 5% stimuli increased stress but stimuli consisting of the lavender 2%, the lavender 5% and the lemon 2% decreased stress because of a psychological rest. And the stimuli of the lavender 2%, the lavender 5%, the lemon 2% presented a healing effect in this research.

Dialogue State Tracking using Circumstance Information to Improve the Accuracy of Task-Oriented Dialogue System in Metaverse (메타버스에서 목적 지향 대화 시스템의 정확도 향상을 위한 상황 정보 활용 대화 상태 추적 기술)

  • Kim, Seungyeon;Bang, Junseong
    • Journal of Broadcast Engineering
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    • v.27 no.5
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    • pp.685-693
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    • 2022
  • The Metaverse is getting popular due to the demands for digital transformation and non-contact communication platforms. A conversation system which facilitates communication is not widely applied yet in Metaverse. In this work, we present a method that revises primitive dialogue state using circumstance information from Metaverse. The presented model that leverages both dialogue and circumstance information consists of a dialogue state tracking module and a circumstance state tracking module. In the model, a dialogue state is updated with an algorithm which compares a dialogue state and a circumstance state. As a conversation that reaffirms user intent is added, a wrong dialogue state can be revised and the accuracy of a conversation system can be improved.