• Transactions of the Korean Society of Mechanical Engineers
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• v.16 no.1
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• pp.156-161
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• 1992

In this research a monitoring system for turning using NC information and the current of feed motor as a monitoring signal was developed. The overall system consists of modules such as learning process, NC data transmission, generation of forecast information, signal acquisition, monitoring and post process. In the learning process, the reference data and the cutting force equation necessary for monitoring are obtained from the accumulated monitoring results. In the generation of forecast information, the information of forecasted cutting forces is acquired from the cutting force equation and NC program and appended to each NC block as a monitor code. Reliability of monitoring is improved by using the monitor code in the real-time monitoring. Monitoring module is divided into two parts : the off-line monitoring where errors of NC program are checked and the on-line monitoring where the level of motor current is monitored during cutting operations. If the actual current level exceeds the limit value provided by the monitor code in the level monitoring, it is recognized as abnormal. In the event of abnormal status, the post processor sends the emergency stop signal to NC controller to stop the operation. Actual experiments have shown that the developed monitoring system works well.

• Korean Journal of Community Nutrition
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• v.16 no.6
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• pp.697-705
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• 2011

This study was conducted to investigate the effects of real time communication digital photography method using Kakao Talk application in smart-phone for the fortification of food consumption monitoring and weight reduction. Thirty-four female college students were randomly assigned to the camera-phone (CP) group or smart-phone (SP) group. Each group participated in the weight control program for 8 weeks. The mean energy intake of CP group during program was 1353.5 kcal and the SP group consumed 1289.2 kcal. The total energy intake of both groups was significantly decreased during the program. The CP group lost 1.9 kg of body weight and 1.9% of body fat and the SP group lost 4.3 kg of body weight and 3.0% of body fat. The body weight was significantly decreased in the SP group compared to the CP group. The triglyceride and total cholesterol, and LDL-cholesterol level of SP group were significantly decreased during the program. However, there were no significant changes in CP group during the program. Also there were no significant changes in lipid profile between two groups. In this study, it is considered that real time communication digital photography method using Kakao Talk application in smart-phone might influence weight control through a trained consumption monitoring. Therefore, smart-phone can lead individuals to rely more heavily on easy-to-monitor visual cues.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.43 no.3 s.309
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• pp.1-9
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• 2006

SNMP is a standard protocol for management of networking devices. Nowadays, most computer systems have capability to act as SNMP agents. In this paper, we developed a low overhead version of SNMP library for embedded systems, and implemented a monitoring software based on the library for a large number of target systems. The monitoring system consists of a monitoring server, SNMP agents, and client programs. The monitoring server collects status information from SNMP agents running on the monitoring targets, and sends summary information to client programs. We implemented two versions of clients, Java based standalone program and Web based program.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.18 no.4
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• pp.282-292
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• 2008

This study was conducted to evaluate work environment monitoring program(WMP) under Industrial Safety and Health Act in Korea. WMP was evaluated by focusing on five key elements, such as purpose, subject, scope, method and workers' participation. The operation status of WMP was evaluated by using questionnaire to workers and data published by Ministry of Labor(MOL). Compliance rate of WMP was less 13 % in manufacturing workplaces. Over-exposure rate was steady state by annual trend. The degree of workers' satisfaction to WMP was just 24 %. A critical problem with the current WMP is that the employer and workers are not acting as main players. For a fundamental improvement in working condition to take place, participation of workers should be expanded and be guaranteed by law.

• Proceedings of the KIPE Conference
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• 2008.06a
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• pp.547-549
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• 2008

This paper presents a implementation of the monitoring program for the analysis of electric consumption characteristics in home appliances, which uses a Labview program from National Instruments Corporation. It is can provide to be easy for small-scale researcher, development groups or individual researcher to analyze electric power consumption characteristics. Also, this paper apply to actual private home and then, analyze result of monitoring and a database result of power quality etc, like the power consumption form, power factor and harmonic which follow season, and time zone. For this measured the apartment where the family which is four lives in the object.

• Proceedings of the KIEE Conference
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• 2001.07c
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• pp.1623-1625
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• 2001

This paper describes a monitoring program for a substation preventive diagnostic system. The monitoring program announces the condition of the transformer and GIS like normal, warning, abnormal and danger from the absolute value of data or change trend to user. The developed system is operating in 345kV U-Ryung substation for performance and environment tests.

• 한국태양에너지학회:학술대회논문집
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• 2012.03a
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• pp.433-438
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• 2012

LED is expected as an environmentally friendly next generation light source with its good reliability and long lifetime. In this paper, we propose the PV-Battery Driven LED Security Lighting using the LabVIEW program. The remote monitoring is a program for monitoring the voltage and current that made from PV-Battery Driven LED security lighting in remote area. The main subject of this paper is about making the more useful monitoring program to get and save the data from LED Security Lighting. We develop a prototype of the proposed system.

• Journal of the Korea Society of Computer and Information
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• v.22 no.11
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• pp.1-7
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• 2017

In this paper, we introduce three monitoring filtering techniques which reduce the overheads of dynamic data race detection. It is well known that detecting data races dynamically in multi-threaded programs is quite hard and troublesome task, because the dynamic detection techniques need to monitor all execution of a multi-threaded program and to analyse every conflicting memory and thread operations in the program. Thus, the main drawback of the dynamic analysis for detecting data races is the heavy additional time and space overheads for running the program. For the practicality, we also empirically compare the efficiency of three monitoring filtering techniques. The results using OpenMP benchmarks show that the filtering techniques are practical for dynamic data race detection, since they reduce the average runtime overhead to under 10% of that of the pure detection.

• Proceedings of the KIEE Conference
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• 2003.07d
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• pp.2672-2674
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• 2003

In this paper, web based monitoring systems are implemented using embedded systems. A parallel port connecting parallel I/O is controlled via HTTP protocol and web browser program. HTTP protocol is ported into Linux. A micro web server program and port control program installed on-board memory using CGI to be accessed by web browser. Experimental results of proposed web based monitoring systems can be used in automation systems and remote distributed control systems via internet using web browser.

• Structural Engineering and Mechanics
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• v.81 no.5
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• pp.647-664
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• 2022

The powerful data mapping capability of computational deep learning methods has been recently explored in academic works to develop strategies for structural health monitoring through appropriate characterization of dynamic responses. In many cases, these studies concern laboratory prototypes and finite element models to validate the proposed methodologies. Therefore, the present work aims to investigate the capability of a deep learning algorithm called Sparse Autoencoder (SAE) specifically focused on detecting structural alterations in real-case studies. The idea is to characterize the dynamic responses via SAE models and, subsequently, to detect the onset of abnormal behavior through the Shewhart T control chart, calculated with SAE extracted features. The anomaly detection approach is exemplified using data from the Z24 bridge, a classical benchmark, and data from the continuous monitoring of the San Vittore bell-tower, Italy. In both cases, the influence of temperature is also evaluated. The proposed approach achieved good performance, detecting structural changes even under temperature variations.