• Journal of Korea Society of Digital Industry and Information Management
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• v.5 no.4
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• pp.39-49
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• 2009

Nowadays, according to rapid development of computing environments, information processing and analysis system are very interesting research area. As a viewpoint of data preparation-processing-analysis in knowledge technology, the goal of automated information system is to satisfy high reliability and confidence and to minimize of human-administrator intervention. In addition, we expect the system which can deal with problem and abnormal error effectively as a fault detection and fault tolerance. In this paper, we design a monitoring system as follows. A productive monitoring information from various systems has unstructured forms and characteristics and crawls informative data by conditions and gathering rules. For representing of monitering information which requested by administrator, running-status can be able to check dynamically and systematic like connection/closed status in real-time. Our proposed system can easily correct and processing for monitoring information from various type of server and support to make objective judgement and analysis of administrator under operative target of information system. We implement semi-realtime monitering system using AJAX technology for dynamic browsing of web information and information processing using XML and XPATH. We apply our system to SMS server for checking running status and the system shows that has high utility and reliability.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.43 no.2
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• pp.33-38
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• 2020

Anomaly detection of Machine Learning such as PCA anomaly detection and CNN image classification has been focused on cross-sectional data. In this paper, two approaches has been suggested to apply ML techniques for identifying the failure time of big time series data. PCA anomaly detection to identify time rows as normal or abnormal was suggested by converting subjects identification problem to time domain. CNN image classification was suggested to identify the failure time by re-structuring of time series data, which computed the correlation matrix of one minute data and converted to tiff image format. Also, LASSO, one of feature selection methods, was applied to select the most affecting variables which could identify the failure status. For the empirical study, time series data was collected in seconds from a power generator of 214 components for 25 minutes including 20 minutes before the failure time. The failure time was predicted and detected 9 minutes 17 seconds before the failure time by PCA anomaly detection, but was not detected by the combination of LASSO and PCA because the target variable was binary variable which was assigned on the base of the failure time. CNN image classification with the train data of 10 normal status image and 5 failure status images detected just one minute before.

• Journal of the Institute of Convergence Signal Processing
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• v.6 no.1
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• pp.23-26
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• 2005

This paper describes the algorithm for deciding the status of the operating machines in the power plants. It is very important to decide whether the status of the operating machines is good or not in the industry to protect the accidents of machines and improve the operation efficiency of the plants. There are two steps to analyze the status of the running machines. First, we extract the features from the input original data. Second, we classify those features into normal/abnormal condition of the machines using the wavelet transform and the input RMS vector through the K-means algorithm. In this paper we developed the algorithm to detect the fault operation using the K-means method from the sound of the operating machines.

• Korean Journal of Veterinary Research
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• v.61 no.4
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• pp.40.1-40.6
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• 2021

Acid-base disorder is a common problem in veterinary emergency and critical care. Traditional methods, as well as the Stewart method based on strong ion difference concepts and the Fencl-Stewart method, can be used to analyze the underlying causes. On the other hand, there are insufficient comparative study data on these methods in cats. From 2018 to 2020, 327 acid-base analysis data were collected from 69 sick and 18 healthy cats. The three most well-known methods (traditional method, Stewart method, and Fencl-Stewart method) were used to analyze the acid-base status. The frequency of acid-base imbalances and the degree of variation according to the disease were also evaluated. In the traditional acid-base analysis, 5/69 (7.2%) cats showed a normal acid-base status, and 23.2% and 40.6% of the simple and mixed disorders, respectively. The Fencl-Stewart method showed changes in both the acidotic and alkalotic processes in 64/69 (92.8%), whereas all cats showed an abnormal status in the Fencl-Stewart method (semiquantitative approach). The frequencies of the different acid-base imbalances were identified according to the analysis method. These findings can assist in analyzing the underlying causes of acid-base imbalance and developing the appropriate treatment.

• Childhood Kidney Diseases
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• v.16 no.1
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• pp.9-14
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• 2012

The relationship between central nervous system (CNS) and enuresis has not been sufficiently elucidated despite the presence of several circumstantial evidences. Contrary to common belief, polysomnographic sleep analysis revealed that the disturbance of arousal rather than deep sleep was responsible for enuresis. Subsequent studies confirmed depressed sympathetic tone and retarded brainstem reflex indicating abnormal arousal threshold in enuretics. In accordance with the bladder-brain dialogue, chronic stimulation of bladder may modify the brainstem function elevating arousal threshold. Epidemiological studies have suggested the association between enuresis and various psychosomatic disorders like attention deficit hyperactivity disorder (ADHD), which has shown the abnormal brainstem reflex similar to enuresis. Taken together, CNS is assumed to play a crucial role in the pathogenesis of enuresis. Psychological assessment is vital to understand the psychodynamic effect of enuresis. Studies have shown that the prevalence of psychological problems was higher in enuretic children and externalization of the symptoms was usually found. Several explanations have been brought up regarding the development of enuresis and psychological problems. Enuresis may cause psychological problems and vice versa. Otherwise, both may be associated with other variables, such as socioeconomic status (SES).

• Journal of Nutrition and Health
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• v.28 no.7
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• pp.629-635
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• 1995

Obese children have increaed in Korean in recent years as socieconomic status have got more higher than past years. Obese children have many health problems and some kinds of complications. Obese patients who have fatty liver with abnormal liver function should be managed with weight control. This study was intended to investigate the effect of weight control on hepatic abnormalities of obese children with fatty liver. We managed 6 obese children who had fatty liver with abnormal liver finction for weight control containing behavior modification, diet and exercise during 3 months. After 3 months, we compared body weight, liver function test, dietary intake and exercise. Body mass index(BMI) showed significant decrease from 28.1$\pm$2.3kg/$m^2$ to 26.2$\pm$1.7kg/$m^2$ (p<0.01). Aspartate aminotransferase(AST) showed significant improvement from 56$\pm$15IU/l(p<0.01). Alanine aminotransferase(ALT) also showed significant improvement from 108$\pm$38IU/l to 33$\pm$9IU/l(p<0.01). Therefore if we can rule out the other causes of hepatic abnormalities in obese children with fatty liver, these patients showed benefit by weight control as it can improve both obesity and liver functions.

• Archives of Plastic Surgery
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• v.33 no.4
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• pp.465-468
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• 2006

Purpose: Subciliary approaches to orbitozygomatic fractures have high incidence of complications such as scleral show and ectropion. Abnormal rearrangement of eyelid flaps may be a very important factor to induce abnormal cicatrical and consequent contracture. To prevent this problem, we used temporary lower eyelid suspension. Methods: A total of two hundred five patients were investigated for lower eyelid complication of orbitozygomatic fractures that underwent reconstruction with subciliary approach. The lower eyelid margin was pulled up toward the forehead using lower eyelid suspension suture to stretch the lower lid flaps. The lid suspension was maintained for one day after surgery. Results: The complications of the lower eyelid were in 15 cases(7.3%); seven cases(3.4%) of visible depressed scar, three cases(1.4%) of scleral show, two cases(1%) of ectropion, two cases(1%) of conjunctival swelling and one case(0.5%) of hematoma. Conclusions: The lower eyelid suspension seems to allow adhering lid flap in proper anatomical position and in the status of the maximal stretch and consequently preventing the severe complications such as scleral show and ectropion caused by scar contraction after subciliary approach.

• The Journal of the Korea institute of electronic communication sciences
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• v.13 no.2
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• pp.369-376
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• 2018

This paper presents an android-based implementation of real-time remote monitoring system for industrial gas turbines. The use of remote monitoring techniques can be beneficial in terms of not only the reduction of monitoring cost but also the earlier detection of abnormal status. In order to achieve the ability of protecting sensitive information from unauthorized persons, the proposed system supports secure transmissions using the RSA(Rivest Shamir Adleman) algorithm. In the event of abnormal situation on the gas turbine, the remote monitoring system generates an alarm to attract the user's attention by exploiting a push-message technique. The proposed system has been verified through a series of experiments with an experimental setup including a virtual data generator.

• Proceedings of the Korean Information Science Society Conference
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• 2011.06d
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• pp.115-117
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• 2011

Intrusion detection systems (IDS) are supposed to be an efficient safety measure against inside attacks. In purely distributed IDS approach, IDS agent is installed in every node. It checks abnormal behavior of neighboring nodes locally. It collects the data that it receives from nodes in its radio range. Sensor nodes audit that data and generate alerts for abnormal activity. Here, there are two ways of taking decision. First, it can take decision individually and second, it can communicate with its neighbor to find the status of the claimed compromised nodes. In this paper, we propose a collaborative decision making scheme for purely distributed detection system. The proposed scheme is light weight compared to consensus based validation methodology. It provides a better scheme to find intrusions by interacting with other nodes.

• Journal of Institute of Control, Robotics and Systems
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• v.3 no.3
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• pp.318-322
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• 1997

A prototype of combustion zone monitoring system as been developed and installed into tuyeres of the blast furnace. The system consists of CCD(charge coupled device) cameras, sonic flow meters, an image processor and a personal computer. The personal computer collects raceway luminance data and operational data from the image processor that is connected to the color CCD camera from the blast furnace process computer, respectively. In addition, the sonic flow meters supply coal injection rate data to the personal computer. Then, the personal computer evaluates the combustion conditions with the raceway inspection algorithm. This integrated monitoring system allows us to detect abnormal raceway conditions and the clogging status of coal injection pipe. The image processing techniques of the system enable us to effectively monitor unburnt coal sticking to tuyere tip and injection lance wear conditions. Such a developed system ensures rapid and precise raceway inspection. The image processing capability of the system has helped operator to early detect both the unburnt coal sticking problem and the errosion problem of injection lance. Furthermore, the system could control the abnormal raceway condition based the the analysis results obtained from combustion monitoring.