• Journal of the Korean Society of Manufacturing Process Engineers
• /
• v.9 no.6
• /
• pp.7-15
• /
• 2010

Recently, with the high performance and efficiency of machine, there have been required the multi-functions in various machine parts, such as the heat resistance, the abrasion resistance and the stress resistance as well as the strength. Fatigue crack growth tests were carried out to investigate the fatigue characteristics of high carbon steel (SM53C) experienced by high-frequency induction treatment. The Cam nose part of the Automobile's Cam shaft is strongly bumped with rocker arm or valve-lift. Therefore abnormal wear such as unfair wear and early wear occur in the surface. This abnormal wear causes a defect that bad timing open and close actions of the engine valve happen in the combustion chamber so the fuel gas will be combustion imperfect. Therefore, the cam shaft demands high hardness and wear resistance. In this study, high frequency heat treatment has been accomplished while wear test for material SM53C.

• Proceedings of the KIEE Conference
• /
• 2003.11c
• /
• pp.552-554
• /
• 2003

This paper is about the method by which Power Control Unit(PCU) of Control Rod Control System(CRCS) logs events in the system and the real-time monitoring display. This method enables the functions like the event logging of Control Rod Drive Mechanism(CRDM)/power Cabinet, the off-line show of the event data logged and the on-line show by communication between the PCU and the monitoring display. Operators in a nuclear power plant must be able to grasp any possible abnormal states correctly. Because our newly designed system has a good ability to log and display the kinds, tine, and the prior and posterior states of urgent or non-urgent events, the operators can judge, maintain and repair the abnormal event more easily.

• The Transactions of The Korean Institute of Electrical Engineers
• /
• v.58 no.11
• /
• pp.2281-2285
• /
• 2009

Powerline communication is the data signal which is modulated by carrier frequency through the installed powerline at in-home or office is transmitted and received signals are separated into data signal with using band-pass filter which cent-frequency is carrier frequency. The home gateway, an equipment which works as an gateway for ubiquitous home network, relays all functions of a home network. The home gateway must always be connected in order to provide seamless services. However it gives unfavorable power consumption. Therefore the needs for working in maximum power saving mode while there is no data traffic and for invoking to the normal function when it is necessary. So, in this paper we survey the development of low power PLC modem monitoring of power consumption and breaking abnormal power in the home Network.

• International Journal of Oral Biology
• /
• v.49 no.2
• /
• pp.34-41
• /
• 2024

Extracellular traps (ETs), primarily composed of DNA and antibacterial peptides, are mainly secreted by neutrophils to inhibit pathogen spread and eliminate microorganisms. Recent reports suggest that microglia can also secrete ETs, and these microglial ETs are associated with various neurological conditions, including nerve injury, tumor microenvironment, and ischemic stroke. However, the components and functions of microglial ETs remain underexplored. Secretagogin (Scgn), a calcium-sensor protein, plays a crucial role in the release of peptide hormones, such as insulin, in endocrine cells; however, its function in immune cells, including microglia, is not well understood. Our study demonstrated that Scgn deficiency can lead to the formation of abnormal ETs. We hypothesized that this may involve the c-Jun N-terminal kinase-myeloperoxidase pathway and autophagy.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.20 no.7
• /
• pp.36-44
• /
• 2019

Swallowing impairment is a frequent complication following stroke. The characteristics of swallowing impairment with stork patient can facilitate identification of individuals at risk of dysphagia would be of great helpful. The present study examined oropharyngeal swallowing impairment with subacute stroke patients using the Modified Barium Swallowing Impairment Profile(MBSImP). The 49 consecutive patients with the supratentorial stroke met inclusion criteria for the present study. A retrospective review was performed of patients who underwent the videofluoroscopic swallowing study(VFSS). Of Stroke patients, 95.9% exhibited abnormal function of lip closure. 98% and 57.1 % shown abnormal tongue function and lingual motion, respectively. Oral residue was present in 51% and delayed pharyngeal response was present in 89.9%. In addition, abnormal laryngeal and hyoid excursion was seen in 42.9% and 87.8%, respectively. Abnormal function of soft palate elevation was present in 18.4% and abnormal epiglottic movement was seen in 4.1%. 30.6% of 30.6% of these patients exhibited abnormal laryngeal closure. All of the stroke patients(100%) in this study exhibited abnormal pharyngeal stripping wave and pharyngoesophageal segment opening. Abnormal tongue base retraction and oral reside were present 91.8%, respectively. The results suggest that stroke patient is more likely to exhibit reduced swallowing functions including lip closure, tongue control, initiation of pharyngeal swallow, anterior hyoid motion, tongue base retraction, pharyngeal residue and pharyngoesophageal contraction. Therefore, these data could provide valid and precise information regarding physiological evidence to delineate symptoms of dysphagia in this stroke cohort. Future studies should explore the bolus effect in the swallowing impairment.

• Journal of Korea Foundry Society
• /
• v.25 no.1
• /
• pp.40-50
• /
• 2005

A series of heavy section ductile cast iron ingots with the cube length of 250mm were systematically investigated as functions of casting parameters of sand casting. Abnormal graphite formation was specially observed with the variation of Si content and Bi or Sb addition. Effects of chilling during casting and adaptation of riserless system were also examined, and proved to be effective for the prevention of both shrinkage and abnormal graphite such as chunky one. The formation of chunky graphite was effectively prevented by low Si content despite the promotion of pearlite matrix structure. The ferritic matrix was encouraged to form by high Si content and chunky graphite formation was effectively suppressed by the addition of Bi and Sb. Bi addition, however, was not good enough to control the microstructure owing to the sensitive cooling rate dependent inoculation behavior and relative low ability of nodulization. Sb addition, on the other hand, was proved to be effective for the microstructural control and enhancement of various mechanical properties such as strength, elongation, and impact energy. It may be suggested that optimized casting parameters should be applied to produce heavy section ductile cast iron with reliability.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.18 no.2
• /
• pp.348-369
• /
• 2024

With the advancement of Industry 4.0 and Industrial Internet of Things (IIoT), manufacturing increasingly seeks automation and intelligence. Temperature and vibration monitoring are essential for machinery health. Traditional abnormal state detection methodologies often overlook the intricate frequency characteristics inherent in vibration time series and are susceptible to erroneously reconstructing temperature abnormalities due to the highly similar waveforms. To address these limitations, we introduce synergistic, end-to-end, unsupervised Frequency-Time Domain Memory-Enhanced Autoencoders (FTD-MAE) capable of identifying abnormalities in both temperature and vibration datasets. This model is adept at accommodating time series with variable frequency complexities and mitigates the risk of overgeneralization. Initially, the frequency domain encoder processes the spectrogram generated through Short-Time Fourier Transform (STFT), while the time domain encoder interprets the raw time series. This results in two disparate sets of latent representations. Subsequently, these are subjected to a memory mechanism and a limiting function, which numerically constrain each memory term. These processed terms are then amalgamated to create two unified, novel representations that the decoder leverages to produce reconstructed samples. Furthermore, the model employs Spectral Entropy to dynamically assess the frequency complexity of the time series, which, in turn, calibrates the weightage attributed to the loss functions of the individual branches, thereby generating definitive abnormal scores. Through extensive experiments, FTD-MAE achieved an average ACC and F1 of 0.9826 and 0.9808 on the CMHS and CWRU datasets, respectively. Compared to the best representative model, the ACC increased by 0.2114 and the F1 by 0.1876.

• Proceedings of the KIEE Conference
• /
• 1998.07d
• /
• pp.1564-1567
• /
• 1998

This paper presents a smart thin film pressure transducer which is highly suitable for a precise and remote measurement of pressure and has the following smart functions: automatic zero tracking, automatic span adjustment, temperature compensation, continuous self-diagnostics for faults(open strain gages, abnormal data, incorrect A/D conversion, and overpressure), data memory and multi-drop communication with PC.

• Proceedings of the KIPE Conference
• /
• 2013.07a
• /
• pp.36-37
• /
• 2013

This paper presents high voltage operation sensing boost converter with high side current. Proposed topology has three functions which are high voltage driving, high side current sensing and low voltage boost controller. High voltage gate driving block provides LED dimming function and switch function such as a load switch of LED driver. To protect abnormal fault and burn out of LED bar, it is applied high side current sensing method with high voltage driver. This proposed configuration of boost converter shows the effectiveness capability to LED driver through measurement results.

• Proceedings of the IEEK Conference
• /
• 2001.06e
• /
• pp.207-210
• /
• 2001

This Paper presents a design of the fuzzy decision maker analyzable of output result of ECG signals. The fuzzy decision maker proposed are divided into two groups whose functions are different each other. The one rules when decision of heart rates, The other decision values for an interval of each points of waveform using of which static state values and abnormal values. We have chosen several variable used for composing condition and action part by knowledge of an Expert The result of outputs with fuzzy rules suggested was a proved of satisfied with by classify ECG arrythmia signals