• 한국한의학연구원논문집
• /
• 제9권1호
• /
• pp.65-79
• /
• 2003

Many of the diseases that occur in a life being are either closely related to water, or they occur by loss or deterioration of water metabolism. There are six parts of study on this subject in ${\ulcorner}$Dongeubogam${\lrcorner}$. The parts are, the part of Jinaek the part of Dameum the part of Sobyeon the part of Bujong the part of Changman and the part of Seub. In these parts, it mentions loss of perspiration, abnormal urination, edema, abdominal dropsy, formation of abnormal body fluid and intrusion of dampness into the body and etc as the abnormal water metabolism. Loss of perspiration and urination is a process of eliminating the dampness in the body. Perspiration would be the abnormality of yanghwa[陽化]. Urination would be the loss of eumhwa[陰化]. Eum[飮] is the fluid accumulated in the body that failed to go through the process of Cihwa[氣化]. Dam[痰] is formed when the body fluid is heated by the smoking-fire. Meanwhile, the dampness occurs when the water penetrates into the bones, muscles and joints. Edema and abdominal dropsy are both outcomes of accumulated body fluid. Edema is the liquified body fluid congested on the surface or the peripheral ends of the body. Abdominal dropsy is congestion of fluid, that lost the characteristic of blood due to blood deterioration, in the abdominal part.

• 한국컴퓨터정보학회논문지
• /
• 제21권12호
• /
• pp.35-41
• /
• 2016

In this paper, we propose a new real-time dead pixel detection method based on spatial compare filtering, which are usually used in the small target detection. Actually, the soft dead and the small target are cast in the same mold. Our proposed method detect and remove the dead pixels as applying the spatial compare filtering, into the pixel outputs of a detector after the non-uniformity correction. Therefore, we proposed method can effectively detect and replace the dead pixels regardless of the non-uniformity correction performance. In infrared camera, there are usually many dead detector pixels which produce abnormal output caused by manufactural process or operational environment. There are two kind of dead pixel. one is hard dead pixel which electronically generate abnormal outputs and other is soft dead pixel which changed and generated abnormal outputs by the planning process. Infrared camera have to perform non-uniformity correction because of structural and material properties of infrared detector. The hard dead pixels whose offset values obtained by non-uniformity correction are much larger or smaller than the average can be detected easily as dead pixels. However, some dead pixels(soft dead pixel) can remain, because of the difficulty of uncleared decision whether normal pixel or abnormal pixel.

• International Journal of Computer Science & Network Security
• /
• 제24권1호
• /
• pp.52-60
• /
• 2024

APT (Advanced Persistent Threat) attack is a dangerous, targeted attack form with clear targets. APT attack campaigns have huge consequences. Therefore, the problem of researching and developing the APT attack detection solution is very urgent and necessary nowadays. On the other hand, no matter how advanced the APT attack, it has clear processes and lifecycles. Taking advantage of this point, security experts recommend that could develop APT attack detection solutions for each of their life cycles and processes. In APT attacks, hackers often use phishing techniques to perform attacks and steal data. If this attack and phishing phase is detected, the entire APT attack campaign will be crash. Therefore, it is necessary to research and deploy technology and solutions that could detect early the APT attack when it is in the stages of attacking and stealing data. This paper proposes an APT attack detection framework based on the Network traffic analysis technique using open-source tools and deep learning models. This research focuses on analyzing Network traffic into different components, then finds ways to extract abnormal behaviors on those components, and finally uses deep learning algorithms to classify Network traffic based on the extracted abnormal behaviors. The abnormal behavior analysis process is presented in detail in section III.A of the paper. The APT attack detection method based on Network traffic is presented in section III.B of this paper. Finally, the experimental process of the proposal is performed in section IV of the paper.

• 한국정밀공학회:학술대회논문집
• /
• 한국정밀공학회 2000년도 추계학술대회 논문집
• /
• pp.888-891
• /
• 2000

Drilling is one of the most important operations in machining industry and usually the most efficient and economical method of cutting a hole in metal. From automobile parts to aircraft components, almost every manufactured product requires that holes are to be drilled for the purpose of assembly, creation of fluid passages, and so on. It is therefore desirable to monitor drill wear and hole quality changes during the hole drilling process. One important aspect in controlling the drilling process is drill wear status monitoring. With the monitoring, we may decide on optimal timing for tool change. The necessity of the detection of tool wear, fracture and the abnormal tool state has been emphasized in the machining process. Accordingly, this paper deals with the cutting characteristics of the hot-rolled high strength steels using common HSS drill. The performance variables include drill wear data obtained from drilling experiments conducted on the workpiece. The results are obtained from monitoring of the cutting force and Acoustic Emission (AE) signals, and from the detection of the abnormal tool state with the computer vision system.

• 한국정밀공학회:학술대회논문집
• /
• 한국정밀공학회 2001년도 춘계학술대회 논문집
• /
• pp.971-974
• /
• 2001

In this study, the static and dynamic characteristics of endmilling process was modelled and the analytic realization of chatter mechanism was discussed. In this regard, We have discussed on the comparative assessment of recursive time series modeling algorithms that can represent the machining process and detect the abnormal machining behaviors in precision endmilling operation. In this study, simulation and experimental work were performed to show the malfunctional behaviors. For this purpose, new recursive(RLSM) were adopted for the on-line system identification and monitoring of a machining process, we can apply these new algorithms in real process for detection of abnormal chatter. Also, the stability lobe of chatter was analysed by varying parameter of cutting dynamices in regenerative chatter mechanics.

• 품질경영학회지
• /
• 제30권2호
• /
• pp.130-151
• /
• 2002

This paper investigates the relation between the Process capability index(PCI) and the quality assurance level under various conditions. The effect of the off-targetness of the process mean, deviation from the nomality, the estimation error, and tile measurement error on the quality assurance level is evaluated. Various distributions such as the Student-t, the chi-square, the gamma, the Weibull, and the log-normal distributions are considered to evaluate the deviation from the nomality. The quality levels under abnormal conditions turn out to be severely different from that under the standard condition. We provide tables and graphs of the quality assurance level on various abnormal conditions. In order for the industry users to use the PCI properly, they should refer to the tables and graphs, especially when they are not certain about the standard assumptions on which the PCI depends.

• 한국정보디스플레이학회:학술대회논문집
• /
• 한국정보디스플레이학회 2007년도 7th International Meeting on Information Display 제7권1호
• /
• pp.908-910
• /
• 2007

Thin Film Transistor (TFT) manufacturing process is complicated. Electrostatic discharge (ESD) occurs during every process step. This paper describes ESD phenomena in terms of TFT design and processing flow. The abnormal contact between equipment and glass is found out to be the key reason causing ESD.

• 한국자동차공학회논문집
• /
• 제3권6호
• /
• pp.250-261
• /
• 1995

In this study, a rapid compression and expansion machine(RCEM) equipped with a swirl generator was designed and developed, in order to clarify normal and abnormal combustion(knocking phenomena). This RCEM is intended to simulate combustion process in actual automotive S.I.engines, having a high reproducibility in the compression stroke. Flame propagation and autoignition processes associated with normal and abnormal combustion were captured by the high speed schlieren photography. And swirl intensity. equivalence ratio and ignition position were varied to investigate the effect of turbulence, concentration in the unburnt gas region and flame propagation length. The knock intensity, knock mass fraction and knock mass fraction after autoignition were calculated by use of history of measured cylinder pressure.

• 대한예방한의학회지
• /
• 제12권2호
• /
• pp.61-72
• /
• 2008

Objectives : The aim of this study was to evaluate effects of herbal medicine and other associated factors for abnormal liver function tests(especially total bilirubin, AST, ALT, and ${\gamma}$GT) levels in outpatients at an oriental medical clinic. Methods : A cross-sectional study based on clinical records was conducted on 504 patients at one Oriental medical clinic in Seoul, Korea. They were tested a liver function tests for screening and 497 patients ranging from the age of 4 to 74 were chosen for the study. Patients with basal liver disease or DM were excluded during the screening process. Patients were classified into case(abnormal) and control(normal) groups by normal liver function test references. Results and Conclusions : In this study, Significant correlations for abnormal total bilirubin levels was age, for abnormal AST was gender, for abnormal ALT were gender, smoking, marriage status, and job, for abnormal ${\gamma}$GT were age, gender, obesity, alcohol, smoking, marriage status, and job using the Chi-square test(p<0.05). There was no significant correlations for abnormal LFTs by using herbal medication history, and intake duration. After controlling other covariates, logistic regression analysis showed that the significant associated factors for abnormal total bilirubin levels were age(odds ratio[OR]=0.87, 95% confidence intervals [CI]=0.87-0.99). For abnormal AST levels was obesity(OR=2.45, CI=1.2-4.9), for abnormal ALT levels were age(OR=1.01, CI=0.99-1.03), male gender(OR=3.31, CI=1.62-6.76), and obesity(OR=3.71 CI=2.28-6.08). For abnormal ${\gamma}$GT levels were male gender(OR=4.83 CI=1.34-17.43), obesity(OR=3.29, CI=1.74-6.22), alcohol (OR=2.51, CI=1.19-5.28), and smoking(OR=2.29, CI=1.16-4.50). Herbal medication history was not as a risk factor for all abnormal liver function tests. Therefore, people who are male, obese, alcohol drinker and smoker will have higher liver function test levels. But intake of herbal medication or the duration of intake may not be the risk factor for abnormal liver function test results.

• Tribology and Lubricants
• /
• 제33권2호
• /
• pp.37-44
• /
• 2017

A DE-side LBP tilting pad journal bearing of a 1-stage overhung heat-pump compressor in a propylene process exhibited abnormal high-temperature behavior. Its temperature had been relatively high at $78^{\circ}C$ from the beginning of operation. In 2014, after three years of operation, it increased suddenly and reached $103^{\circ}C$. Installing a varnish removal equipment and others managed to stabilize the temperature at $95^{\circ}C$. We undertook a troubleshooting approach for reviewing the comprehensive status and integrity of the temperature design of the bearing. We performed lubrication and heat-balance analysis, based on the design engineering data and documents supplied by the OEM. For the base design data of DE-side TPJB, evaluating the effects of key design variables on bearing metal temperature showed that firstly, increasing the bearing clearance and supply oil flow-rate, and next, changing the oil type, and finally, increasing the machined pad clearance and offset, are more effective in reducing the bearing metal temperature. Furthermore, a clarification meeting with the OEM revealed that an incorrect decision had been made to decrease the bearing clearance to eliminate the SSV harshness issue, while not maintaining a sufficient oil flow-rate. We conducted a detailed retrofit design analysis, wherein we increased the oil flow-rate and bearing clearance by decreasing the preload. We predicted that the bearing temperature would decrease to $63^{\circ}C$ from $75.7^{\circ}C$ even at the rerate condition. Finally, after installing and operating a retrofit replacement bearing in 2015, the bearing temperature stabilized at a low temperature of $65^{\circ}C$. Currently (January. 2017), two year later, the bearing metal temperature remains at $65^{\circ}C$. Therefore, we can conclude that the abnormal high-temperature behavior of the bearing has been resolved completely.