• Journal of The Institute of Information and Telecommunication Facilities Engineering
• /
• v.10 no.1
• /
• pp.1-6
• /
• 2011

The Underground pipeline facility is a general but most important facility in modern world, but its maintainability has been left behind. An automated and intelligent management technology is needed to prevent the wast of social resource and security. In this paper, we introduce Pipeline Health Monitoring(PHM) with Ubiquitous Sensor Network(USN) for inexpensive structure safety monitoring system, and improve its utility by inventing the advanced impedance converter.

• Proceedings of the Korean Geotechical Society Conference
• /
• 2009.03a
• /
• pp.874-882
• /
• 2009

Continuous monitoring of dam performance is essential to earth and rockfill dams safety because it has to be guaranteed for safety during construction period of course and from initial impounding to a long term maintenance period of dam. Among the 31 dams managed by Kwater at present, the proportion of dams being over 20 years after completion of construction is 42% and it is estimated that the loss rate of monitoring devices will be increase as times. Monitoring devices would be impossible to repair since those are mostly installed in the dam body and foundation. If repairing of monitoring devices is possible, the expenditure will be expensive. Therefore reasonable decision making for abandonment, repair and alternation for loss of monitoring devices would be needed through the establishment of key instrument for earth and rockfill dam safety. In this study the process of monitoring for safety were modeled by failure modes of dams, adverse conditions related to failure mode, indicators of adverse condition and monitoring devices The relationship between failure mode and monitoring devices were systematically analyzed and established and evaluation technique for qualifying the importance of monitoring devices were presented.

• Journal of Biosystems Engineering
• /
• v.31 no.5 s.118
• /
• pp.436-442
• /
• 2006

This research was conducted to design and develop a wired monitoring system for judging if sick or dead layers (SDL) exist in multi-tier layers battery (MLB) by machine vision, and to analyze its performance. In this study, 20 Brown Leghorn (Hi-Brown) layers aged 37 weeks old, were used as the experimental animals. The intensity of concern paid by layers on feed was over 90% during 5 minutes and 30 seconds after providing feed, and normal layers (NL) had been standing to take feed for that period. Therefore, in this study, the optimal judging time was set by this test result. The wired monitoring system developed was consisted of a driving device for carrying machine vision systems, a control program, a RS232 to RS485 convertor, an automatic positioning system, and an image capture system. An image processing algorithm was developed to find SDL in MLB by the processes of binary processing, erosion, expansion, labeling, and reckoning central coordinate of the captured images. The optimal velocity for driving unit was set up as 0.13 m/s by the test results for wired monitoring system, and the proximity switch was controlled not to be operated for 1.0 second after first image captured. The wired monitoring system developed was tested to evaluate the remote monitoring performance at lab-scale laying hen house. Results showed that its judgement success.ate on normal cage (without SDL) was 87% and that on abnormal cage (with SDL) was 90%, respectively. Therefore, it would be concluded that the wired monitoring system developed in this study was well suited to the purpose of this study.

• Journal of the Korean Home Economics Association
• /
• v.33 no.1
• /
• pp.211-222
• /
• 1995

The purpose of this study was to investigate(1) the effects of clothing cues of 20s young man in business suits on the perception of occupational suitability in an office setting and (2) the effect of Perceiver's self-monitoring and sex on the perception of occupational suitability formed by the function of clothing cues. The experimental design of this study was between-subjects 23 factorial design. The experimental materials developed for the study were a set of stimuli and a response scale. The stimuli consisted of 8 color photographs of a young man wearing business suits which were manipulated at two levels for each of three clothing cues (suit color, suit style, necktie color). Each one of eight sub-samples included 14 subjects from 2 perceiver groups by sex. The questionaires used to measure perceivers' responses to the stimuli were constructed in 12 five-point likert scale representing occupational suitability and self-Monitoring was measured by the self-Monitoring Scale by Gangestad adn Snyder. The subjects consisted of 224 male and female college students in Seoul. The data was processed by ANOVA and MCA(Multiple Classification Analysis). The result were as follows: (1) The Clothing cues of young man in business suits(suit color, suit style) partially influenced the occupational suitability. (2) The perception of occupational suitability formed by the clothing cues of a young man in business suits was partially influenced by the perceiver's self-monitoring and sex. Female high self-monitoring group were more affected by the clothing cues than any other groups.

• Journal of the Korean Home Economics Association
• /
• v.38 no.6
• /
• pp.59-70
• /
• 2000

The purposes of this study were to investigate the effects of the degree self-monitoring, perceived risk and the types of advertising in cosmetic purchase behavior. The data were obtained with an experimental design which was 2${\times}$(2${\times}$2) mixed factorial design. The subjects were classified 280 pre-test subjects into 70 high level of self-monitoring subjects and 70 low level of self-monitoring subjects. The data were analysed with ANOVA, using the SAS program. The result of this study can be summarized as follows ; In experimental I, the effect on the consumer preference was the significant 2-way interaction effects between the degree of the self-monitoring and appeal types of advertising as well as between the types of cosmetic products depending on perceived risk and appeal types of advertising. In experimental II, the effect on the consumer purchase intention was the significant 2-way interaction effects between the degree of the self-monitoring and appeal types of advertising as well as between the types of cosmetic products depending on perceived risk and appeal types of advertising.

• Journal of the Korean Society of Costume
• /
• v.65 no.8
• /
• pp.22-34
• /
• 2015

This study was intended to investigate the influences of consumer's self-monitoring, pioneer brand awareness, types of endorsers on quality perception of "me-too" brands with a focus on outdoor brands. The design of this research was comprised of 2 types of self-monitoring(high vs. low), 2 types of pioneer brand awareness(high vs. low), 2 types of endorsers(professional expert vs. typical consumer). The study was carried out by using samples from residents of Seoul and Gyeonggi area. The number of subjects used in the final analysis totaled 243, with age of the consumers ranging grom 20's to 50's. The results of this study were as follows. Self-monitoring, pioneer brand awareness and types of endorsers had shown a statistically significant correlation effect on the quality perception of me-too brands. Especially, in the high-level self-monitoring group, the effect of pioneer brand awareness on quality perception of me-too brand was significant when typical consumer model was given. The result presents that using a professional expert model in the market rather than a typical consumer model can offset the quality perception of pioneer brand with low awareness.

• Smart Structures and Systems
• /
• v.5 no.4
• /
• pp.381-395
• /
• 2009

The paper presents a case study in which the structural condition assessment of the East Bay bridge in Gibsonton, Florida is evaluated with the help of remote health monitoring techniques. The bridge is a four-span, continuous, deck-type reinforced concrete structure supported on prestressed pile bents, and is instrumented with smart Fiber Optic Sensors. The sensors used for remote health monitoring are the newly emerged Fabry-Perot (FP), and are both surface-mounted and embedded in the deck. The sensing system can be accessed remotely through fast Digital Subscriber Lines (DSL), which permits the evaluation of the bridge behavior under live traffic loads. The bridge was open to traffic since March 2005, and the collected structural data have been continuously analyzed since. The data revealed an increase in strain readings, which suggests a progression in damage. Recent visual observations also indicated the presence of longitudinal cracks along the bridge length. After the formation of these cracks, the sensors readings were analyzed and used to extrapolate the values of the maximum stresses at the crack location. The data obtained were also compared to initial design values of the bridge under factored gravity and live loads. The study showed that the proposed structural health monitoring technique proved to provide an efficient mean for condition assessment of bridge structures providing it is implemented and analyzed with care.

• The Journal of Korean Academic Society of Nursing Education
• /
• v.12 no.2
• /
• pp.196-204
• /
• 2006

Purpose: This study was purposed to identify the effect of pain monitoring program for improving the knowledge, attitude and assessment ability of cancer pain in oncology nurses. Methods: In this study pain monitoring program was developed based on the literature, and constructed it with various teaching method including several group lectures, workshop, focus group and implementation at the clinical practices. In order to test the effect of this program, contrast group, pretest-post test quasi-experimental design was designed. 46 oncology nurses randomly assigned to either control or experimental group. The tool used are 32 item scale for the evaluation of the nurses' knowledge, attitude toward pain modified by Kim(1997), which was originally developed by McCaffery and Ferrel(1995). Results: The pain monitoring program for the oncology nurses was statistically significant for improving the level of the knowledge about and attitude toward pain management, and pain assessment behavior. Conclusion: More sensitive multiple measurement tool for the attitude toward pain management needs to be developed. Nurses need more knowledge and effective attitude toward cancer pain management. Pain monitoring program in this study is effective to improve the quality of pain management.

• Proceedings of the Korean Society of Propulsion Engineers Conference
• /
• 2008.03a
• /
• pp.84-88
• /
• 2008

The UAV propulsion system that will be operated for long time at more than 40,000ft altitude should have not only fuel flow minimization but also high reliability and durability. If this UAV propulsion system may have faults, it is not easy to recover the system from the abnormal, and hence an accurate diagnostic technology must be needed to keep the operational reliability. For this purpose, the development of the health monitoring system which can monitor remotely the engine condition should be required. In this study, a fuzzy trend monitoring method for detecting the engine faults including mechanical faults was proposed through analyzing performance trends of measurement data. The trend monitoring is an engine conditioning method which can find engine faults by monitoring important measuring parameters such as fuel flow, exhaust gas temperatures, rotational speeds, vibration and etc. Using engine condition database as an input to be generated by linear regression analysis of real engine instrument data, an application of the fuzzy logic in diagnostics estimated the cause of fault in each component. According to study results, it was confirmed that the proposed trend monitoring method can improve reliability and durability of the propulsion system for a long endurance UAV to be operated at medium altitude.

• Journal of the Korean Society of Industry Convergence
• /
• v.27 no.3
• /
• pp.701-707
• /
• 2024

Industry 4.0 has brought about significant changes in the roles of workers through the introduction of innovative technologies. In smart factory environments, workers are required to interact seamlessly with robots and automated systems, often utilizing equipment enhanced by Virtual Reality (VR) and Augmented Reality (AR) technologies. This study aims to systematically analyze recent research literature on monitoring the physical and mental states of workers in Industry 4.0 environments. Relevant literature was collected using the Web of Science database, employing a comprehensive keyword search strategy involving terms related to Industry 4.0 and health monitoring. The initial search yielded 1,708 documents, which were refined to 923 journal articles. The analysis was conducted using VOSviewer, a tool for visualizing bibliometric data. The study identified general trends in the publication years, countries of authors, and research fields. Keywords were clustered into four main areas: 'Industry 4.0', 'Internet of Things', 'Machine Learning', and 'Monitoring'. The findings highlight that research on health monitoring of workers in Industry 4.0 is still emerging, with most studies focusing on using wearable devices to monitor mental and physical stress and risks. This study provides a foundational overview of the current state of research on health monitoring in Industry 4.0, emphasizing the need for continued exploration in this critical area to enhance worker well-being and productivity.