• Journal of the Korean Society for Precision Engineering
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• v.32 no.4
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• pp.339-344
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• 2015

Machine tools are one of the energy-intensive equipment used in the manufacturing industry. The importance of energy has increased and the machine tools are required to be energy-efficient. The servo systems of the machine tool consume electrical power to rotate a spindle and to feed a tool during machining. Servo system consumes a lot of energy when the machine tool is operated. The energy consumption pattern of each axis needs to be investigated in order to optimize the machining process with regard to energy cost. In this paper, an energy monitoring system is developed considering various measuring points of servo system in order to grasp the energy consumption pattern of each axis.

• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.21 no.3
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• pp.241-247
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• 2011

Although intensive development continues on innovative sensor systems, there is still considerable uncertainty in deciding on the number of sensors required and their locations in order to obtain adequate information on structural behavior. This paper is concerned with the sensor locations on a beam-structure for prognostic structural health monitoring. The purpose of this study is to investigate how to determine optimal sensor placement(OSP) from the sensitivity information of a known failure mode. The sensitivity of the forced vibration response of a beam to the variation of stiffness due to a crack is calculated analytically and used to determine the optimal sensor locations for the specified failure mode. The results of this method compared with the results of different OSP methods. The results have shown that the proposed method on optimal sensor placement is very effective in structural health monitoring.

• Journal of Korea Multimedia Society
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• v.20 no.2
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• pp.216-224
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• 2017

Abnormal situation caused by aggressive behavior of pigs adversely affects the growth of pigs, and comes with an economic loss in intensive pigsties. Therefore, IT-based video surveillance system is needed to monitor the abnormal situations in pigsty continuously in order to minimize the economic demage. Recently, some advances have been made in pig monitoring; however, detecting each pig is still challenging problem. In this paper, we propose a new color image-based monitoring system for the detection of the individual pig using a fast region-based convolution neural network with consideration of detecting touching pigs in a crowed pigsty. The experimental results with the color images obtained from a pig farm located in Sejong city illustrate the efficiency of the proposed method.

• Proceedings of the KSRS Conference
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• 2002.10a
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• pp.337-340
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• 2002

Monitoring of wave height is important primarily to reduce storm risks at sea and along the coast. Wave heights in recent years have increased 50% for the last 40 years, thus requiring intensive monitoring. Satellite altimetry offers a powerful tool for regular and extensive monitoring of the wave height. We extracted significant wave height (SWH) using several altimeter missions from 1987-1995 over the Northwest Pacific and compared with ECMWF reanalysis (ERA) products. For large wave heights > 2.5 m, the ERA wave heights are smaller than the altimetric ones, while for small wave heights the ERA wave heights are larger. Comparison in SWH between altimetric derivations and ERA model products shows the discrepancy of 0.46-0.21$\times$SWH(m).

• International conference on construction engineering and project management
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• 2017.10a
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• pp.252-259
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• 2017

Nowadays, the existing manual method for recording actual progress of the construction site has some drawbacks, such as great reliance on the experience of professional engineers, work-intensive, time consuming and error prone. A method integrating computer vision and BIM(Building Information Modeling) is presented for indoor automatic progress monitoring. The developed method can accurately calculate the engineering quantity of target component in the time-lapse images. Firstly, sample images of on-site target are collected for training the classifier. After the construction images are identified by edge detection and classifier, a voting algorithm based on mathematical geometry and vector operation will divide the target contour. Then, according to the camera calibration principle, the image pixel coordinates are conversed into the real world Coordinate and the real coordinates would be corrected with the help of the geometric information in BIM model. Finally, the actual engineering quantity is calculated.

• Journal of Korean Critical Care Nursing
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• v.13 no.2
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• pp.24-35
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• 2020

Purpose : This study aimed to determine whether the Korean Patient Classification System for Neonatal Care Nurses (KPCSN) properly measures neonatal intensive care needs and to compare the scale's results with those of the Workload Management System for Critical Care Nurses (WMSCN). Methods : Data were collected from the medical records of 157 patients who were admitted to the NICU of a university hospital, in D city. Two types of patient classification systems were applied to investigate the total points and distributions to investigate the total points and distributions by categories and compare relationships and classification groups between two scales. Finally, the score distribution among the classification groups was analyzed when the KPCSN was applied. Results : Scores on the KPCSN for the feeding, monitoring, and measure categories were 19.16±15.40, 16.88±3.52, and 9.13±4.78, respectively. Classification group distribution of the KPCSN was as follows : 1.9% for the first group, 24.2% for the second group, 58% for the third group, and 15.9% for the fourth group. The classification group distribution of the WMSCN was as follows: 35.7% for the third group, 61.1% for the fourth group, and 3.2% for the fifth group. Finally, the scores by categories were analyzed according to KPCSN classification group, and the characteristics of the patients' nursing needs were identified for each classification group. Conclusion : Results of this study indicate that the KPCSN effectively measures feeding needs, which account for many nursing activities in neonatal intensive care. Comparisons between the KPCSN and WMSCN classification group scores and distribution ratios verified the correlation and significance of nursing requirements.

• Journal of Soil and Groundwater Environment
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• v.18 no.2
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• pp.19-26
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• 2013

This study developed the classification of National Soil Quality Monitoring Network (NSQM) and its site selection criteria to meet the recently established purposes of the NSQM. The NSQM were suggested by this study to classify into the six-purposes site groups from the current classification of land uses. The six purposes site groups were 1) intensive observation sites, 2) contaminant loading sites, 3) human activity sites, 4) background sites, 5) river soil sites, and 6) sites near the groundwater quality monitoring wells. Furthermore, this study developed the site selection criteria of NSQM utilizing the accumulated NSQM data, road traffic data, chemical emission data, census, soil information, and the literature related to soil quality variation due to contaminant loads. For selecting suitable sites for NSQM, this study used road traffic, chemical emission, the distance from the contaminant sources, and population information as specific criteria. The suggested site classification and criteria were appled for the current 100 NSQM sites for evaluation. Forty sites were met to the criteria suggested by this study, but sixty sites were not met to the criteria. However, some of the sixty sites also included the obscure sites that their addresses were not apparent to find them.

• Korean Journal of Environmental Agriculture
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• v.31 no.1
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• pp.16-23
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• 2012

BACKGROUND: To improve the Daechung reservoir water quality, a quantitative estimation of the delivery load from upper watershed need to be conducted prior to others. To do so, an intensive monitoring is necessary because of the complexity and uncertainty of the delivery load from uppper watershed. However, intensive monitoring need to invest much time, cost, and effort. So, many researcher have developed an equation to estimate the delivery loads. But, relatively little research has been conducted on the applicability of pre-developed equation using other sites. Therefore, the objective of this study was to evaluate application of the equation for BOD, T-N and T-P delivery load. METHODS AND RESULTS: To verify the applicability of the equation, the following equation was used; Delivery loads(kg/day)=generated pollutant loads${\times}(1-{\alpha}){\times}$(daily outflow/${\beta})^{\gamma}$. The equations could be calculated the daily delivery loads of streams without any data of water quality, only with the data of daily runoff of study sites. The equations were applied to Youngdogcheon, Chogangcheon, Bocheongcheon, Sookcheon to examine its applicability using monitoring data. The results showed that the estimated delivery loads were in a good agreement with the observed data and indicated reasonable applicability of the equations. CONCLUSION(s): Overall, the equations were satisfactory in estimation of delivery loads at upper watershed of the Daechung reservoir. Therefore, the equations could be contributed to better water quality management in the Daechung reservoir.

• Journal of Korean Academy of Nursing Administration
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• v.9 no.2
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• pp.265-282
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• 2003

Purpose : This study was conducted to provide for a basic resource, which can be used to set up a efficient management system in Cardiac Surgery Intensive Care Units(CSICU). Method: 1) Questionnaires were administered and observation methods were used, to examine the nursing activities performed in the CSICU after having reviewed related literatures and a review by the experts. Thus, the nursing activities were designating 254 activities and classified into 28 categories. 2)The 22 nurses in the 2 CSICUs filled out questionnaires about nursing activities from 12 April, 2002 to 17 April, 2002. The frequency of the nursing activities in the 28 categories counted and new nursing activities added by directly observing 12 nurses by two trained research staffs for 4 day. 3)In terms of validity, the 264 nursing activities were analysed by the 25 experts. As a result, 231 nursing activities were found valid and remained as appropriate nursing activities to be used for the careful analysis of the nursing activities in CSICUs. Result: The 22 categories are as below: assessment, monitoring, respiration management, nutrition management, elimination/drainage management, mobility management, sanitation management, safety management, temperature management, specimens collection, preparation and assistance of treatment, skin/wound management, infection management, medication management, education/support, dying patient care, recording/keeping, supplies management, environment management, communications, evaluations, professional development Conclusion : The manifest job description of the staff nurse will contribute to improving the efficiency of the nursing activities and to reducing the role conflicts among the medical staffs.

• Journal of Technology Innovation
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• v.12 no.2
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• pp.209-225
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• 2004

This study aims to explore and understand the role of knowledge intensive service activities in the industrial innovation of Korea. It analyzes public and private service inputs to the innovation of manufacturers. The contribution of KISs to the innovation of both service suppliers and manufacturers was analyzed by using survey questionnaire. The results of the analysis revealed that the contribution of KISs to the innovation capability of manufacturers is significant. Large manufacturers that hold internal capability to supply KISs are also active in using external KISs. The manufacturing firms that utilized KISs intensively proved to be more innovative than those did not. Heavy KISs users also entertained benefits of capability enhancement as they improved monitoring and achieved efficient application of knowledge asset into product and process innovation. The role of public KISs in the innovation of manufacturers appeared to be indirect and done mainly through education and public R&D activities. Direct input, such as public software service, was not utilized as much in service suppliers themselves. The major reason is that public KISs may not be relevant to their actual needs. Manufacturers have implemented both tighter integration of familiar KISs and loosely coupled unfamiliar KISs.