• Proceedings of the Korea Water Resources Association Conference
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• 2012.05a
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• pp.27-33
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• 2012

At present, the overall water resources monitoring ability in China is weak since there is an absence of a sound monitoring system and comprehensive monitoring information. In addition to the problem of weak management ability in monitoring, measurement and information, it can hardly meet the need of implementing the strictest management system of water resource and also restricts the practice of the system to some extent. The production states the necessity of further development of water resources monitoring ability and points out the concept of "One Country, One Account" for constructing water resources information. There is an analysis on the demand on further development of water resources monitoring ability and profound discussion about the strategies for supporting "three red-line" management.

• Korean Journal of Child Studies
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• v.19 no.1
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• pp.117-129
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• 1998

This study was designed to examine children's comprehension monitoring ability. Specifically the purpose of this study was to investigate (1) children's monitoring standards preference according to monitoring ability, and (2) the relationships between comprehension monitoring and working memory capacity. The subjects were 60 children, 30 each in 2nd and 4th grades. To measure comprehension monitoring ability, 7 stories including erroneous sentences were used. Working memory capacity was measured by the Reading Span Test (Lee, 1995). Results showed that (1) the high and low monitoring children were not different in monitoring standard preference, and (2) comprehension monitoring ability was significantly and positively related to working memory capacity.

• Research in Mathematical Education
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• v.13 no.1
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• pp.31-48
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• 2009

Utilizing the path analysis method, the study explores the relationships among the influential factors in mathematics modeling academic achievement. The following conclusions are drawn: 1. Achievement motivation, creative inclination, cognitive style, the mathematical cognitive structure and mathematics modeling self-monitoring ability, those have significant correlation with mathematics modeling academic achievement; 2. Mathematical cognitive structure and mathematics modeling self-monitoring ability have significant and regressive effect on mathematics modeling academic achievement, and two factors can explain 55.8% variations of mathematics modeling academic achievement; 3. Achievement motivation, creative inclination, cognitive style, mathematical cognitive structure have significant and regressive effect on mathematics modeling self-monitoring ability, and four factors can explain 70.1% variations of mathematics modeling self-monitoring ability; 4. Achievement motivation, creative inclination, and cognitive style have significant and regressive effect on mathematical cognitive structure, and three factors can explain 40.9% variations of mathematical cognitive structure.

• Korean Medical Education Review
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• v.19 no.2
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• pp.83-89
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• 2017

The aim of this study is to examine the effect of recorded video monitoring on students' self-reflection after completing their clinical performance examination. Taking into account the particular cases involved in the examination, the present study utilized history-taking, physical examination, and patient education as bases for evaluating information-establishment ability, and asking, listening, understanding, explaining, and connectedness as the bases for evaluating patient-physician interaction ability. Student self-monitoring through recorded video feedback was carried out three days after completion of their clinical performance examination. Students self-evaluated their performance with a 10-point scale before and after self-monitoring. The results of this study show that students have a general tendency to lower their own self-evaluation scores after self-monitoring. Although there was not a statistically significant change of interrelationship in the information-establishment ability evaluation, there was a meaningful change of interrelationship in the patient-physician interaction ability evaluation after self-monitoring; specifically, in the case of acute lower abdominal pain, a high correlation was found (r=0.31, p=0.02) between the evaluation scores of standardized patients and students related to patient-physician interaction ability. This implies that self-monitoring enables the students to acquire a reflective viewpoint from which to evaluate their own performance. Therefore, it can be said that self-monitoring through recorded video feedback is a valuable method for students to use in reviewing their performance in patient-physician interactions.

• Smart Structures and Systems
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• v.9 no.1
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• pp.1-20
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• 2012

In bridge engineering, maintenance strategies and thus budgetary demands are highly influenced by construction type and quality of design. Nowadays bridge owners and planners tend to include life-cycle cost analyses in their decision processes regarding the overall design trying to optimize structural reliability and durability within financial constraints. Smart permanent and short term monitoring can reduce the associated risk of new design concepts by observing the performance of structural components during prescribed time periods. The objectives of this paper are the discussion and analysis of influence line or influence field approaches in terms of (a) an efficient incorporation of monitoring information in the structural performance assessment, (b) an efficient characterization of performance indicators for the assessment of structures, (c) the ability of optimizing the positions of sensors of a monitoring system, and (d) the ability of checking the robustness of the monitoring systems applied to a structure. The proposed influence line- model correction approach has been applied to an integrative monitoring system that has been installed for the performance assessment of an existing three-span jointless bridge.

• Journal of Industrial Convergence
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• v.13 no.3
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• pp.57-76
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• 2015

The purpose of this paper is to examine the moderate effects of self monitoring and the ways of thinking on the relationships and the moderate effects of brand credibility and brand attachment on the relationships between the negative information about a brand and the customer attitude holistic and analytic on the relationships between the negative information about a brand and customer attitude. To accomplish these purposes, this research divided negative information about a brand into corporate ability and corporate social responsibility. In addition, research also divided product type into functional product and symbolic product. participants are classified as having Low or High self monitoring. and the ways of thinking divided into holistic and analytic on the relationships between the negative information about a brand and customer attitude. The following are the summary of hypothesis test: (1)the consumers with low(high) level of self monitering are more likely to reveal high level of preference for negative information of corporate ability. (2)the consumers with analytic(holistic) ways of thinking are more likely to reveal high level of preference for negative information of corporate ability. (3)the consumers with low(high) level of self monitering are more likely to reveal high level of preference for functional product. (4)the consumers with analytic(holistic) ways of thinking aren't more likely to reveal high level of preference for functional(symbolic) product.

• Neonatal Medicine
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• v.17 no.1
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• pp.1-12
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• 2010

Graphic monitoring assists the clinician at the bedside in several ways. It can be helpful in fine-tuning or adjusting ventilator parameters. Graphic monitoring may help to determine the patient's response to pharmacologic agents. The clinician also has the ability to trend monitored events over a prolonged period of time. The neonatal patient's self respiration, synchrony to ventilator and respiratory efforts can be well recognized with graphic monitoring. Of all, it may enable detection of complications before they become clinically apparent. This article introduces the basics of real-time graphics.

• Smart Structures and Systems
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• v.1 no.4
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• pp.325-338
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• 2005

Utilizing robotic based reconfigurable nodal structural health monitoring systems has many advantages over static or human positioned sensor systems. However, creating a robot capable of traversing a variety of civil infrastructures is a difficult task, as these structures each have unique features and characteristics posing a variety of challenges to the robot design. This paper outlines the design and implementation of a novel robotic platform for deployment on ferromagnetic structures as an enabling structural health monitoring technology. The key feature of this design is the utilization of an attachment device which is an advancement of the common magnetic base found in the machine tool industry. By mechanizing this switchable magnetic circuit and redesigning it for light weight and compactness, it becomes an extremely efficient and robust means of attachment for use in various robotic and structural health monitoring applications. The ability to engage and disengage the magnet as needed, the very low power required to do so, the variety of applicable geometric configurations, and the ability to hold indefinitely once engaged make this device ideally suited for numerous robotic and distributed sensor network applications. Presented here are examples of the mechanized variable force magnets, as well as a prototype robot which has been successfully deployed on a large construction site. Also presented are other applications and future directions of this technology.

• The Research Journal of the Costume Culture
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• v.27 no.6
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• pp.666-680
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• 2019

Prevalent usage of mobile devices among consumers has been well recognized and this is especially imperative among young adult consumers. The mobile phone became the gateway of their communication, media consumption, retail transaction, education, and (virtual) social life. However, there is little empirical research explaining the dynamics behind the psychological underpinning of young adult consumers, specifically Generation Y, to understand their usages and dependency on mobile phones. This study, therefore, aims to unveil antecedents and consequences of Gen Y consumers' mobile phone dependency from a media psychological perspective. We developed a conceptual model based on theory of self-monitoring (Snyder 1974, 1987), extended self-concept (Belk, 1988), and media dependency theory (Ball-Rokeach & Defluer, 1976). Four hundred ninety-eight students in the U.S. provided usable responses to our pencil-and-paper survey. Causal modeling analysis results demonstrated that both ability to modify one's behavior and sensitivity to cues for social appropriate behavior dimensions of the self-monitoring tendency positively predicted one's level of fashion involvement, which in turn positively predicted his/her mobile phone dependency. Individual's mobile phone dependency, fashion involvement and self-monitoring's ability dimension exhibited positive and direct impact on one's perception of the salience of mobile phone case product attributes. Based on the findings, we provided pragmatic and theoretical implications for the industry and academia.

• Nuclear Engineering and Technology
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• v.55 no.1
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• pp.285-294
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• 2023

Autonomous radiation source detection has long been studied for radiation emergencies. Compared to conventional data-driven or path planning methods, deep reinforcement learning shows a strong capacity in source detection while still lacking the generalized ability to the geometry in unknown environments. In this work, the detection task is decomposed into two subtasks: exploration and localization. A hierarchical control policy (HC) is proposed to perform the subtasks at different stages. The low-level controller learns how to execute the individual subtasks by deep reinforcement learning, and the high-level controller determines which subtasks should be executed at the current stage. In experimental tests under different geometrical conditions, HC achieves the best performance among the autonomous decision policies. The robustness and generalized ability of the hierarchy have been demonstrated.