• Journal of the Korean Society for Precision Engineering
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• v.12 no.12
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• pp.30-37
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• 1995

The mechanical seals, which are installed in rotating machines like pump and compressor, are gengrally used as sealing devices in the many fields of industries. The failure of mechanical seals such as leakage,fast and severe wear, excessive torque, and squeaking results in big problems. To monitor the failure of mechanical seals and to propose the proper monitoring techniques with artificial neural network, sliding wear experiments were conducted. Torque and temperature of the mechanical seals were measured during experiments. Optical microstructure was observed for the wear processing after every 10 minute sliding at rotation speed of 1750 rpm and scanning electron microscopy was also observed. During the experiment, the variation of torque and temperature that meant an abnormal phenomenon, was observed. That experimental data recorded were applied to the developed monitoring system with artificial neural network. This study concludes that torque and temperature of mechanical seals wil be used to identify and to monitor the condition of sliding motion of mechanical seals. An availability to monitor the mechanical seal failure with artificial neural network was confirmed.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2007.10a
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• pp.946-949
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• 2007

A wireless sensor network (WSN) is a wireless network consisting of spatially distributed autonomous devices using sensors to cooperatively monitor physical or environmental conditions, such as temperature, sound, vibration, pressure, motion at different locations. Environmental monitoring represent a class of sensor network applications with enormous potential benefits for scientific communities and society. In this paper we design and implement a novel platform for sensor networks to be used for monitoring of temperature, humidity, and light sensors.

• Journal of the korean academy of Pediatric Dentistry
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• v.23 no.4
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• pp.887-892
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• 1996

For the purpose of assessing the utility and cautionary aspects of pulse oximetry of which use is rapidly increased, it was applied to the maladaptive child patients with sedative drugs and evaluated the results. When pulse oximeter was used alone for vital sign monitoring, it was thought impossible to exclude the false alarm or false silence by various causes. To minimize or remove these misunderstanding, operators should have a extensive knowledge not only on the factors affecting the operation of this apparatus but also on the potential of misoperation. To review the present status of increasing risk of hypoxia during the sedation, it was thought unreasonable to solely depend upon this apparatus for vital sign monitoring. By combining with more accurate and auxiliary monitoring devices, pulse oximetry will be of greater value and can meet the clinical needs and conveniences.

• Journal of Digital Contents Society
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• v.11 no.4
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• pp.519-527
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• 2010

The Ubiquitous Sensor Network, a new computing paradigm, is a core technology of ubiquitous computing for context-awareness monitoring system using sensor networks. Recently, ubiquitous campus has been developed to build ubiquitous computing environments in many universities. In this paper, I propose the development of context-awareness monitoring system, to acquire the context information through various sensors and provide the campus information and safety services for students with disabilities using mobile devices. Ubiquitous sensor system based on u-campus technology for students with disabilities can especially be used to provide customized information.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.1
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• pp.173-187
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• 2022

Recent studies have focused on self-management of hypertension using smart devices (cellular phones, tablets, watches). It has proven to be an effective tool for early detection and control of high Blood Pressure (BP) without affecting patients' daily routines. This systematic review surveys the existing self-monitoring systems, evaluate their effectiveness and compares the different approaches. We investigated the current systems in terms of various attributes, including methods used, sample size, type of investigation, inputs/ outputs, rate of success in controlling BP, group of users with higher response rate and beneficiaries, acceptability, and adherence to the system. We identified some limitations, shortcomings, and gaps in the research conducted recently studying the impact of mobile technology on managing hypertension. These shortcomings can generate future research opportunities and enable it to become more realistic and adaptive. We recommended including more observable factors and human behaviors that affect BP. Furthermore, we suggested that vital monitoring/logging and medication tuning are insufficient to improve hypertension control. There is also a need to observe and alter patient behavior and lifestyles.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.179-182
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• 2015

Detecting and assessing human-related risks is critical to improve the on-site safety condition and reduce the loss in lives, time and budget for construction industry. Recent research in neural science and psychology suggest inattentional blindness that caused by overload in working memory is the major cause of unexpected human related accidents. Due to the limitation of human mental workload, laborers are vulnerable to unexpected hazards while focusing on complicated and dangerous construction tasks. Therefore, detecting the risk perception abilities of workers could help to identify vulnerable individuals and reduce unexpected injuries. However, there are no available measurement approaches or devices capable of monitoring construction workers' mental conditions. The research proposed in this paper aims to develop such a measurement framework to evaluate hazards through monitoring electroencephalogram of labors. The research team developed a wearable safety monitoring helmet, which can collect the brain waves of users for analysis. A bispectrum approach has been developed in this paper to enrich the data source and improve accuracy.

• East Asian Journal of Business Economics (EAJBE)
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• v.10 no.4
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• pp.29-38
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• 2022

Purpose - The present research aims to assess the meaningful association between the extension of sports leisure culture and the spread of wearable devices. The research will discuss the current utilization of wearable devices in sports leisure and the present and future application of wearable devices in sports perspectives. Research design, Data, and methodology - We have investigated and conducted the qualitative content analysis (QCA) to obtain the adequate textual dataset in the current literature and conducted an in-depth analysis of the incorporation of cloud computing in the leisure sports industry by focusing on the development of wearable technologies. Result - From the QCA, it is evident that there is a meaningful connection between the extension of sports leisure culture and the spread of wearable devices, figuring out four kinds of associations as follows: (1) Monitoring the Impact of Sporting Activities, (2) Benefits of Sensor Technology, (3) Reducing Sedentary Behaviors, and (4) Measuring Workload done in Sport Leisure. Conclusion - The present research concludes that wearable devices positively influence individuals to participate in sports and leisure activities. Various technologies are very effective in motivating individuals to adopt sports leisure culture mainly because there is a certain degree of satisfaction that individuals gain in seeing the level of physical activities.

• Human Ecology Research
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• v.56 no.6
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• pp.541-553
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• 2018

This study examined the influences of infants' age for the first use of smart devices and the amount of time to use them on the externalizing problem behavior as well as investigated whether maternal managing behavior (setting rules on accessing smart devices and monitoring their child's use of smart devices) had moderating effects. The study participants consisted of 521 three to six year old infants (235 boys and 286 girls). The data were analyzed by means of descriptive statistics and a hierarchical regression. The results of this study indicated that the age at first use of smart devices and maternal managing behavior had significant effects on the externalizing problem behavior of infants. The earlier the infants first used smart devices, the higher the level of externalizing problem behavior. Externalizing problem behavior was also found to be higher when the mothers showed no managing behavior. Second, maternal managing behavior moderated the relation between the age at first use of smart devices and the externalizing problem behavior of infants. The effects of the age at first use of smart devices on the externalizing problem behavior of infants were greater when the mothers did not set rules regarding the use of smart devices and did not supervise children when using smart devices.

• Journal of Internet Computing and Services
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• v.19 no.1
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• pp.87-95
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• 2018

Due to global warming and increased energy costs around the world, interests of energy saving and efficiency have been increased. In particular, forging factories need methods to save energy and increase productivity because of needing amounts of energy uses. To solve the problem, we propose a system, which includes collection, monitoring, and analysis process, to monitor energy uses each facility in realtime based on the IoT devices. This system insists of worksheets management, facility/energy management, realtime monitoring, history search, data analysis through connecting with existed ERP/MES Systems in manufacturing factories. The energy monitoring process is to present used energy collected from IoT devices connected with installed gasmeter and wattmeter each facility. This system provide the change of energy uses, usage fee, energy conversion, and green gas information in realtime on Web and mobile devices. This system will be enhanced with energy saving technology by analyzing constructed big data of energy uses. We can also propose a method to increase productivity by integrating this system with functions of digitalized worksheets and optimized models for production process.

• Journal of the Korean Society for Precision Engineering
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• v.31 no.7
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• pp.585-590
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• 2014

Recently, monitoring systems, such as POP, take a core role in scheduling or planning of manufacturing facilities for production, maintenance, and so on. Such monitoring systems require functionalities for real-time parameter monitoring and controlling to maximize efficiency of facilities. However, vendors usually do not provide internal communication protocols or interface to access the machine controller. Therefore, the values of parameters related to machine operations and controls cannot be easily accessed from external devices. In this paper, we propose an interface methodology for a real-time monitoring and controlling of injection molding machine parameters such as user input parameters, embedded sensor data and injection molding status information.