• Korean Journal of Veterinary Research
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• v.48 no.3
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• pp.375-379
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• 2008

Hips of the Golden and Labrador retrievers in Korea were evaluated with the University of Pennsylvania Hip Improvement Program (PennHIP) and the severity of joint laxity and degenerative joint disease (DJD) were compared to the PennHIP database. The distraction index (DI) of domestic Golden and Labrador retrievers was significantly higher than the DI of the PennHIP database. In the two breeds, the prevalence of DJD increased according to the DI. However, the severity of DJD did not show a positive correlation with the DI. Overweight dogs and dogs kept indoors showed more severe DJD and more prevalence of clinical signs. This report is thought to be the first case presentation of a large population of Golden and Labrador retrievers in Korea and the findings are representing the overall level of canine hip dysplasia (CHD) of domestic Retrievers, as the PennHIP method was not available in Korea until 2001. We can respect that the stock of retrievers can have a tighter hip joint through control of CHD using an accurate diagnostic method keyed to a phenotype especially concern for joint laxity using PennHIP method and an organized screening program. The clinical manifestation of dysplastic dog can be reduced through control of bodyweight and the environment with regular monitoring the hips with concern for joint laxity using PennHIP method.

• Aerospace Engineering and Technology
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• v.5 no.2
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• pp.188-194
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• 2006

This paper deals with the development of Engineering Model for the TCU( Thruster Control Unit) and simulation system of the reaction control system using cold gas. TCU communicates with TLM(Telemetry) and ground control console so that it transmits monitoring data of pressures and temperatures for reaction control system. The cpu/communication board performs MIL-STD-1553B communication, RS-422 communication, data input/output processing and program loading to EEPROM. We applied Intel 80386DX Microprocessor, 256Kbytes EEPROM and 256Kbytes SRAM for program storage and execution. Also, we developed the direct access interface circuit to EEPROM and simulation system for TCU.

• Journal of the Speleological Society of Korea
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• no.77
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• pp.67-72
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• 2007

ATMega8535 Controller is the ideal solution for use as a standard controller in many applications. The small compact size combined with easy program updates and modifications, make it ideal for use in machinery and control systems, such as alarms, card readers, real-time monitoring applications and much more. This board is ideal as the brains of your robot or at the center of your home-monitoring system. Today, most drivers must use a parking place day by day. Therefore we make time shorten. Using above-mentioned ATmega8535, a sensor of infrared rays, led and lcd, we will make a parking system which is able to display parking situation and lead a car at the best position of Parking easily and quickly. Trying this project, we will be more closer to practical application of electronic engineering bit by bit.

• Proceedings of the KIPE Conference
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• 2010.11a
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• pp.359-360
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• 2010

In smart grid system which uses photovoltaic system, fuel cells and so on, a program implemented with C language is used for control and measurement. When using programs implemented with C language GUI is difficult to watch control and monitor the smart grid system. But LabVIEW is a graphical programming language and it is easy to design GUI screen and to manage many variables such as real-time output of electric power including solar cell, wind power system and fuel cell. This paper suggests LabVIEW and C-language TCP/IP communication for smart grid monitoring system i mplemented with C-language.

• Korean Journal of Human Ecology
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• v.20 no.2
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• pp.339-351
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• 2011

The purpose of this study was to inquire into how children's internet addiction is affected by home environments, computing environments, parental marital conflicts, parenting attitudes and parental monitoring and control as perceived by children. The study was conducted on 579 sixth graders at elementary schools located in Daejeon City. The data was analyzed by frequency, percentage, $X^2$, one way ANOVA, and scheffe analysis using the SPSS 18.0 version program. The results were as follows: first, out of 579 students, 5.0% were classified as at high-risk for addiction; 22.8% as at potential-risk; 72.2% as normal. Second, in the high-risk group, boys accounted for a higher percentage compared to girl students. Mothers' academic backgrounds and fathers' occupations affected the children's internet addiction. Third, the high-risk group tended to use the internet in internet cafes, to use it before going to elementary school, to use it for at least 4 hours once, and to use it to play games. Fourth, the high-risk group perceived parents marital conflicts as more frequent and more severer, as compared to other groups. Fifth, while the high-risk group perceived parenting attitudes as negative, the normal group perceived them as positive. Sixth, the potential-risk group and the normal group perceived parental monitoring and control as more frequent, as compared to the high-risk group.

• Transactions of the Korean Society of Mechanical Engineers
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• v.9 no.6
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• pp.757-766
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• 1985

Both in-process quality control and high reliability of the weld is one of the major concerns in applying friction welding to the economical and qualified mass-production. No reliable nondestructive monitoring method is available at present to determine the real-time evaluation of automatic production quality control for friction welding machine. This paper, so that, presents the experimental examinations and statistical quantitative analysis of the correlation between the initial cumulative counts of acoustic emission(AE) occurring during plastic deformation period of the welding and the tensile strength of the welded joints as well as the various welding variables, as a new approach which attempts finally to develop an on-line (or real-time) quality monitoring system and a program for the process of real-time friction welding quality evaluation by initial AE cumulative counts. As one of the important results, it was well confirmed that the initial AE cumulative counts were quantitatively and cubically correlated with reliability of 95% confidence level to the joint strength of the welds, bar-to-bar (SCM4 to SUM31, SCM4 to SUM24L) and that an AE technique using initial AE counts can be reliably applied to real-time strength evaluation of the welded joints, and that such a program of the system was well developed resulting in practical possibility of real-time quality control more than 100% joint efficiency showing good weld with no micro-structural defects.

• Biotechnology and Bioprocess Engineering:BBE
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• v.9 no.3
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• pp.156-165
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• 2004

Concentrations of substrates, glucose, and ammionia in biological processes have been on-line monitored by using glucose-flow injection (FIA) and ammonia-FIA systems. Based on the on-line monitored data the concentrations of substrates have been controlled by an on-off controller, a PID controller, and a neural network (NN) based controller. A simulation program has been developed to test the control quality of each controller and to estimate the control parameters. The on-off controller often produced high oscillations at the set point due to its low robustness. The control quality of a PID controller could have been improved by a high analysis frequency and by a short residence time of sample in a FIA system. A NN-based controller with 3 layers has been developed, and a 3(input)-2(hidden)-1(output) network structure has been found to be optimal for the NN-based controller. The performance of the three controllers has been tested in a simulated process as well as in a cultivation process of Saccharomyces cerevisiae, and the performance has also been compared to simulation results. The NN-based controller with the 3-2-1 network structure was robust and stable against some disturbances, such as a sudden injection of distilled water into a biological process.

• Journal of the Korean Society of Food Culture
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• v.11 no.1
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• pp.107-121
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• 1996

This study was carried out to develop the computer-assisted Hazard Analysis and Critical Control Point (HACCP) program for a systematic approach to the identification, assessment and control of hazards for foodservice manager to assure the microbiological quality of food in hospital foodservice operations. Sanitation practices were surveyed and analyzed in the dietetic department of 4 hospitals. Among them, one 762-bed general hospital was selected as standard model to develop computer-assisted HACCP program. All data base files and processing programs were created by using Foxpro package for easy access of HACCP concept. HACCP program was developed based on the methods suggested by NACMCF, IAMFES and Bryan. This program consisted of two parts: the pre-stage for HACCP study and the implementation stage of the HACCP system. 1. Pre-stage for HACCP study includes the selection of menu item, the development of the HACCP recipe, the construction of a product flow diagram, and printing the HACCP recipe and a product flow diagram. A menu item for HACCP study can be selected from the menu item lists classified by cooking methods. HACCP recipe includes ingredients, their amount and cooking procedure. A flow diagram is constructed based on the HACCP recipe. The HACCP recipe and a product flow diagram are printed out. 2. Implementation of HACCP study includes the identification of microbiological hazards, the determination of critical control points, the establishment of control methods of each hazard, and the complementation of data base file. Potentially hazardous ingredients are determined and microbiological hazards are identified in each phase of the product flow. Critical control points (CCPs) are identified by applying CCP decision trees for ingredients and each process stage. After hazards and CCPs are identified, criteria, monitoring system, corrective action plan, record-keeping system and verification methods are established. When the HACCP study is complemented, HACCP study result forms are printed out. HACCP data base file can be either added, corrected or deleted.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2002.10a
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• pp.467-470
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• 2002

Internet provides the useful method to monitor the current states of the machine tool no matter where a personnel is monitoring them. In this paper, a monitoring method of the torque of the machine tool's spindle induction motor using internet is suggested. The torque of vector controlled induction motor is estimated without speed measuring sensor. Only stator currents are measured to estimate the magnetizing current which is used to calculate flux linkage, rotor velocity and motor torque. Graphical programming is used to implement the suggested algorithm, to monitor the torque of an induction motor in real time and to make the estimated torque monitored on client computers. To solve the fluctuation problem of estimated torque caused from instantly varying rotating speed of an induction motor, the rotating speed is reconstructed based on the measured current signals. Mechanical part of the machine tool is also reconstructed using the data obtained from preliminary experiments. Torque of the spindle induction motor is well monitored on the client computers with 3% error range under various cutting conditions.

• Journal of the Korea Safety Management & Science
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• v.12 no.2
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• pp.65-73
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• 2010

In an automated industry PLC plays a central role to control the manufacturing system. Therefore, fault free operation of PLC controlled manufacturing system is essential in order to maximize a firm's productivity. On the contrary, distributed nature of manufacturing system and growing complexity of the PLC programs presented a challenging task of designing a rapid fault finding system for an uninterrupted process operation. Hence, designing an intelligent monitoring, and diagnosis system is needed for smooth functioning of the operation process. In this paper, we propose a method to continuously acquire a stream of PLC signal data from the normal operational PLC-based manufacturing system and to generate diagnosis model from the observed PLC signal data. Consequently, the generated diagnosis model is used for distinguish the possible abnormalities of manufacturing system. To verify the proposed method, we provided a suitable case study of an assembly line.