• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.10 no.4
• /
• pp.93-99
• /
• 2011

This paper proposes a novel network jitter estimation algorithm for robust VoIP communication system. The proposed method computes the current network environment mode using the differences of arrival time and generation time from sequential received packets. According to the current network environment mode, the jitter variance weights is adjusted to minimize the error for estimating the network jitter. The jitter average and variance are calculated by the autoregressive estimated algorithm, and then the network jitter is estimated by applying the jitter variance weights.

• Korean Journal of Food Science and Technology
• /
• v.47 no.3
• /
• pp.401-404
• /
• 2015

A sandwich ELISA (sELISA) to detect pork in processed foods was developed using goat anti-pig IgG antibodies. From the sELISA standard curve, the detection range of pork was $3-1,000{\mu}g/mL$. The cross-reactivity between the pig IgG antibodies, pork, and other meats (beef, chicken, fish, and crustaceas) was 100, 0.18, and 0%, respectively. When pork was heated for 10 min, the mean assay recoveries of pig-IgG were 79-32% at $60-70^{\circ}C$ and less than 0.11% at $80^{\circ}C$ or higher. When pork was spiked into cream soup, weaning food, fish paste, and sauce, the mean assay recoveries were 8.8, 45, 36, and 39%, respectively. In 12 commercial processed foods, the assay results coincided qualitatively with the food labels on the packages.

• Korean Journal of Food Science and Technology
• /
• v.46 no.5
• /
• pp.538-543
• /
• 2014

A sandwich enzyme-linked immunosorbent assay method (sELISA) for detecting the presence of shrimp in processed foods was developed using rabbit polyclonal antibodies against tropomyosin produced by black tiger prawns (shrimp). Based on the standard curve derived using this method, the detection range of shrimp was determined to be $1-100{\mu}g/mL$. The cross-reactivity of these antibodies toward black tiger prawns, fleshy prawns, cocktail prawns, lobster, and blue crab was 100, 73, 155, 18, and 0%, respectively. When shrimp was heated for 10 min, the mean assay recovery of tropomyosin was 121-221% at $70-100^{\circ}C$ and 7.8% at $121^{\circ}C$. When shrimp was added to cream soup, weaning food, sausage, fish paste, and sauce, the mean assay recovery was 397, 639, 168, 234, and 0%, respectively. In sample tests involving 14 commercial items, the coincidence ratio of assay results and reference was 79%.

• Journal of Biomedical Engineering Research
• /
• v.20 no.4
• /
• pp.451-459
• /
• 1999

During the electromyographic evaluation for the diagnosis of neuropathy, presence for site of lesion could be predicted by a detection of denervation potentials such as fibrillation potentials or positive sharp waves in a group of muscles. Unfortunately, since denervation potentials are distinguished by examiner's experience, it is possible to make mistake identifying endplate spikes as a denervation potential. The aim of the study was to extract parameters to make an algorithm for quantitative distinction between denervation potentials and endplate spikes. It will help to minimize the examiner's bias and to localize the site of lesion thus increase the reliability on EMG diagnosis. There types of signals, endplate spike, fibrillation potential and positive sharp wave were obtained from the EDB(extensor digitorum brevis) muscle using then neuropathic patients. Eight parameters such as duration, area, slope, peak-to-peak amplitude, positive peak negative peak amplitude, ratio of positive to negative peak amplitude, and number of phase were extracted and compared. As a results, peak-to-peak amplitude, positive peak amplitude, ratio of positive to negative peak amplitude showed statistically significant differences between endplate spikes and denervation potentials. It was concluded that those parameters could be used to establish an algorithm which will improve the accuracies in automated quantitative EMG diagnosis.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.20 no.1
• /
• pp.163-169
• /
• 2020

Recently, research on automation and unmanned operation of machines in the industrial field has been conducted with the advent of AI, Big data, and the IoT, which are the core technologies of the Fourth Industrial Revolution. The machines for these automation processes are controlled based on the data collected from the sensors attached to them, and further, the processes are managed. Conventionally, the abnormalities of sensors are periodically checked and managed. However, due to various environmental factors and situations in the industrial field, there are cases where the inspection due to the failure is not missed or failures are not detected to prevent damage due to sensor failure. In addition, even if a failure occurs, it is not immediately detected, which worsens the process loss. Therefore, in order to prevent damage caused by such a sudden sensor failure, it is necessary to identify the failure of the sensor in an embedded system in real-time and to diagnose the failure and determine the type for a quick response. In this paper, a deep neural network-based fault diagnosis system is designed and implemented using Raspberry Pi to classify typical sensor fault types such as erratic fault, hard-over fault, spike fault, and stuck fault. In order to diagnose sensor failure, the network is constructed using Google's proposed Inverted residual block structure of MobilieNetV2. The proposed scheme reduces memory usage and improves the performance of the conventional CNN technique to classify sensor faults.

• Atmosphere
• /
• v.29 no.4
• /
• pp.501-509
• /
• 2019

Asian Dust is a meteorological phenomenon that sand particles are raised from the arid and semi-arid regions-Taklamakan Desert, Gobi Desert and Inner Mongolia in China-and transported by westerlies and deposited on the surface. Asian dust results in a negative effect on human health as well as environmental, social and economic aspects. For monitoring of Asian Dust, Korea Meteorological Administration operates 29 stations using a continuous ambient particulate monitor. Kim et al. (2016) developed an automatic quality check (AQC) algorithm for objective and systematic quality check of observed PM₁₀ concentration and evaluated AQC with results of a manual quality check (MQC). The results showed the AQC algorithm could detect abnormal observations efficiently but it also presented a large number of false alarms which result from valid error check. To complement the deficiency of AQC and to develop an AQC system which can be applied in real-time, AQC has been modulated. Based on the analysis of instrument status codes, valid error check process was revised and 6 status codes were further considered as normal. Also, time continuity check and spike check were modified so that posterior data was not referred at inspection time. Two-year observed PM₁₀ concentration data and corresponding MQC results were used to evaluate the modulated AQC compared to the original AQC algorithm. The results showed a false alarm ratio decreased from 0.44 to 0.09 and the accuracy and the probability of detection were conserved well in spite of the exclusion of posterior data at inspection time.

• Journal of The Korean Society of Inherited Metabolic disease
• /
• v.15 no.3
• /
• pp.118-126
• /
• 2015

Background and objectives: A deficiency of BH4 (tetrahydrobiopterin) not only causes the classical phenylketonuric phenotype, but also is the source of neurological signs and symptoms due to impaired syntheses of L-Dopa and serotonin. The treatment of BH4 deficiency usually consists of replacement with BH4 and the neurotransmitters. We performed this study to finding out long-term follow-up clinical symptoms and prognosis of BH4 deficiency. Methods: Clinical and biochemical, genetic analysis were done retrospectively from January 1999 to July 2015 in Soonchunhyang University Hospital. Results: In our study, total 207 patients were confirmed to hyperphenylalaninemia. Among them, 10 patients were BH4 deficiency. 9 patients were 6-pyruvoyl-tetrahydropterin (PTPS) deficiency and one patient was dihydropteridine reductase (DHPR) deficiency. The patients who received delayed treatment, most of our patients suffered from severe psychomotor retardation, hypotonia and seizure. c.259C>T mutation was identified most commonly in PTPS gene analysis. A patient with DHPR deficiency had a mental retardation, dystonia, seizure. His seizure semiology was dialeptic feature. His EEG showed generalized spike wave patterns. All patients had treated with tolerate L-Dopa, BH4 and 5-hydroxytryptophan. Most of the early treated patients have a good tolerance for drugs well. But some patients had neurologic symptoms, despite early detection and treatment. Conclusion: BH4 deficiency patients who had delayed treatment tend to have severe psychomotor problem and neurologic deficits.

• Korean Journal of Food Science and Technology
• /
• v.44 no.1
• /
• pp.1-7
• /
• 2012

There have been few studies related to ELISA for mackerel. In this study we developed a sandwich ELISA for mackerel in processed foods using rabbit polyclonal antibodies against mackerel parvalbumin, the major allergen of mackerel and heat-stable protein. The parvalbumin was purified by ammonium sulfate precipitation and Sephadex G-50 column chromatography. From the standard ELISA curves, the detection limit of parvalbumin was 3 ng/mL and the detection range of mackerel was 5-5,000 ${mu}g/mL$. We further investigated the cross-reactivity of the antibodies toward mackerel, mackerel pike, salmon, flatfish, armorclad rockfish, cod fish, squid, shrimp, blue crab, and lobster. The antibodies were specific for mackerel only. The mean assay recoveries in cooked cream soup, baby food, sausage, and sauce spiked with 0.01 to 0.3% mackerel were 104, 101, 54, and 0%, respectively. In sample tests of 16 commercial items, the qualitative coincidence ratio of assay result and indication was 75%.

• Journal of Food Hygiene and Safety
• /
• v.8 no.1
• /
• pp.9-15
• /
• 1993

In an attempt to quantitate and qualitate residual antibiotics and antibacterial agents in meat simultaneously, we studied a gas chromatography-mass spectrometry(GC/M8) analysis. For a simultaneous analysis of penicillin G, chloramphenicol and thiamphenicol in meat, a simple and rapid clean-up procedure including extraction with 0.01 M EDTA-2Na Mcilvaine buffer (pH 4.0), defatting with n-hexane, and elution with 0.01M-methanolic oxalic acid from Bond Elute $C_{18}$ cartridge, and quantitation by selected ion monitoring (SIM) mode after derivatization was performed. The recoveries (%) of penicillin G, chloramphenicol and thiamphenicol (CV, %) at 1 ppm fortification level were 63.5 (7.6), 76.3 (8.1) and 84.7 (2.0), and the detection limits of those were 0.6, 0.085 and $0.084\;\mu\textrm{g}$ beef, respectively. This method using 81M mode allows excellent detection and quantitation of residual antibiotics and antibacterial agents in meat. Moreover, confirmation by a full scan electron impact mass spectrum is possible if residual level in the sample in above 1 ppm.

• Journal of Korean Society on Water Environment
• /
• v.22 no.5
• /
• pp.879-886
• /
• 2006

The analytical methods of polychlorinated dibenzo-p-dioxins, polychlorinated dibenzofurans (PCDD/Fs) for water sample with extremely low concentration was developed to extract large volume and to improve fast chromatography for clean up. Semi-automated solid phase extraction (SPE) system and column coupling chromatography using elution pump was optimized and applied to each processes of treatment plant. Results of disk type SPE indicated that this system was applicable below 40 L of aqueous sample with a flow rate of 0.08 ~ 0.2 L/min. Average recoveries of SPE using labeled sampling spike of $^{37}Cl$-2,3,7,8-TCDD was 97%. Column coupling method resulted in reduced clean up time, solvent volume, increased average recoveries with constant elution rate. The combined methods were applied to the monitoring of drinking water treatment plant. Limits of detection (LOD) of each process were calculated. For example, LOD of raw and treated water ranged 0.094~0.968 pg/L and 0.028~0.364 pg/L, respectively. Combined methods of extraction and cleanup techniques provided fast analysis of PCDD/Fs with high accuracy and low LODs for water samples.