• Korean Journal of Microbiology
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• v.43 no.1
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• pp.23-30
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• 2007

The most rapid Real-time PCR based detection method for Avian influenza A virus (AIV) subtype H5N1 was developed. The target DNA sequence in this study was deduced from H5N1 subtype-specific 387 bp partial gene of hemagglutinin, and was synthesized by using PCR-based gene synthesis on the ground of safety. Real-Time PCR was performed by $GenSpector^{TM}$ using microchip-based, total $1{\mu}l$ of reaction mixture with extremely short time in each steps in PCR. The detection including PCR-amplication and analysis of melting temperature was totally completed within 13 min. The H5N1-specific 189 bp PCR product was correctly amplified until 2.4 molecules of hemagglutinin gene as minimum of templates. This kind of PCR was designated as Quick Real-Time PCR in this study and it could be applied to detect not only AIV H5N1, but also other pathogens using PCR-based detection.

• International Journal of Computer Science & Network Security
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• v.23 no.4
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• pp.1-6
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• 2023

Morphological analysis is a branch of natural language processing, is now a rapidly growing field. The fundamental tenet of morphological analysis is that it can establish the roots or stems of words and enable comparison to the original term. Arabic is a highly inflected and derivational language and it has a strong structure. Each root or stem can have a large number of affixes attached to it due to the non-concatenative nature of Arabic morphology, increasing the number of possible inflected words that can be created. Accurate verb recognition and extraction are necessary nearly all issues in well-known study topics include Web Search, Information Retrieval, Machine Translation, Question Answering and so forth. in this work we have designed and implemented an algorithm to detect and recognize Arbic Verbs from Arabic text.The suggested technique was created with "Python" and the "pyqt5" visual package, allowing for quick modification and easy addition of new patterns. We employed 17 alternative patterns to represent all verbs in terms of singular, plural, masculine, and feminine pronouns as well as past, present, and imperative verb tenses. All of the verbs that matched these patterns were used when a verb has a root, and the outcomes were reliable. The approach is able to recognize all verbs with the same structure without requiring any alterations to the code or design. The verbs that are not recognized by our method have no antecedents in the Arabic roots. According to our work, the strategy can rapidly and precisely identify verbs with roots, but it cannot be used to identify verbs that are not in the Arabic language. We advise employing a hybrid approach that combines many principles as a result.

• The Journal of the Convergence on Culture Technology
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• v.9 no.5
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• pp.605-611
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• 2023

Accidents at construction sites have a very high rate of fatalities due to the nature of being prone to severe injury patients. In order to reduce the mortality rate of severely injury patients, quick response is required, and some systems that detect accidents using AI technology and cameras have been devised to respond quickly to accidents. However, since existing accident detection systems use only a single camera, there are blind spots, Thus, they cannot detect all accidents at a construction site. Therefore, in this paper, we present the system that minimizes the detection blind spot by using multiple cameras. Our implemented system extracts feature points from the images of multiple cameras with the YOLO-pose library, and inputs the extracted feature points to a Long Short Term Memory-based recurrent neural network in order to detect accidents. In our experimental result, we confirme that the proposed system shows high accuracy while minimizing detection blind spots by using multiple cameras.

• Food Science and Biotechnology
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• v.17 no.1
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• pp.15-19
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• 2008

This research was conducted to develop a quick and sensitive method of detecting carbamate residues using the immobilization of antibody-antigen interactions with surface plasmon resonance (SPR). We have used commercialized surface plasmon resonance equipment (Biacore 3000). The antibody used for the immunoassay was specific for glutathione-s-transferase (GST) and the antigens included several carbamate pesticides (carbofuran, carbaryl, and benfuracarb). When antigens were applied to the protein GST, the detection limit was 2 ng/mL of carbamate pesticide. The fabricated protein GST maintained its activity for over 200 measurements. Thus we determined that the SPR biosensors could detect the specific reversible binding of a reactant in solution to a binding partner immobilized on the surface of the sensor and allow real-time detection and monitoring.

• Journal of information and communication convergence engineering
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• v.16 no.3
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• pp.179-188
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• 2018

This paper proposes a quick response (QR) barcode watermarking algorithm in order to improve readability of the QR barcode in a JPEG image. The proposed algorithm embeds a watermark in a wavelet based-low frequency band for watermark robustness, and visually extracts a QR barcode after embedding the QR barcode image with confidential information into the original image via imperceptible watermarking technology. The visually extracted QR barcode watermark uses an approach to authenticate the ownership more easily through a common hardware and software-based mobile barcode reader app. Therefore, the QR barcode watermark may improve the ability to easily detect watermarks efficiently as well as imperceptibility and robustness, which is the main watermark requirement by embedding the QR barcode with watermark text information in a digital image and when compare to conventional watermarks.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.38 no.9
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• pp.21-28
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• 2001

The economical detection of dual-tone multi-frequency(DTMF) signals is an important factor when developing cost-effective telecommunication equipment. Each chanel has independently a DTMF receiver, and it informs the detected signal to processors. In order to detect the DTMF signals, the receiver use algorithm such DFT, FFT and Goertzel methods. This paper analyze the power spectra of the DTMF receiver by using the QFT algorithm. As experimental results, it show that can the improved performance of the DTMF receiver and can reduce memory waste and the real time processing.

• Proceedings of the KSR Conference
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• 2007.05a
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• pp.1466-1474
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• 2007

In large station with high density traffic, trains is hardly controlled by CTC but by station dispatcher because CTC has difficulties in monitoring all states of affairs happening within the station such as departs and arrivals of many trains from different lines and shunting trains between yards and platforms, etc. Therefore station dispatcher has to make quick decision about how to schedule all trains including trains to arrive and depart before long. And such decisions become harder when an unexpected delay occurs. This study suggests a mathematical model and algorithm about how to detect in advance and resolve efficiently the conflicts occurring within a station and it will be shown how to reduce delay using our approach by means of analysing the schedule of ChyungRyangRi station.

• Proceedings of the Korean Society of Machine Tool Engineers Conference
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• 1999.10a
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• pp.49-56
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• 1999

This paper present a study on the application of sound pressure and vibration signals to detect the presence of defects in a rolling element bearing using a statistical analysis method. The well established statistical parameters such as the crest factor and the distribution of moments including kurtosis and skewless are utilized in this study. In addition, other statistical parameters derived from the beta distribution function are also used. A comparison study on the performance of the different types of parameter used is also performed. The statistical analysis is used because of its simplicity and quick computation. Under ideal conditions, the statistical method can be used to identify the different types of defect present in the bearing. In addition, the results also reveal that there is no significant advantages in using the beta function parameters when compared to using kurtosis and the crest factor for detecting and identifying defects in rolling element bearings from both sound and vibration signals.

• Korean Journal of Veterinary Service
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• v.39 no.3
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• pp.137-140
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• 2016

The correct and quick diagnosis can be minimized damage from honeybee diseases. This study was carried out to detect infectious pathogens in honeybee in Jeonbuk province. 183 samples were collected from 8 area of Jeonbuk beekeeping farms in 2015 and 10 of infectious pathogens were examined through PCR and RT-PCR. Among 183 samples, positive rates of each disease were as follows; BQCV 43.7%, SBV 24.6%, DWV 16.4%, SB 15.8%, CB 10.4%, Nosemosis 7.1%, AFB 6.6%, EFB 1.1%, CBPV 1.1%, ABPV 0.0%. Among 28 beekeeping farms, 19 farms (67.9%) were infected with a complex of two or more diseases. The highest frequency of complex infections was BQCV.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.26 no.11C
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• pp.133-139
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• 2001

The economical detection of dual-tone multi-frequency(DTMF) signals is an important factor when developing cost-effective telecommunication equipment. Each channel has independently a DTMF receiver, and it informs the detected signal to processors. In order to detect the DTMF signals, this paper analyze the power spectra of the DTMF receiver by using the QFT algorithm. As experimental result, by analyzing 2$\^$M/ real data in terms of ITU-T specification, it show that the QFT algorithm improve the performance of the DTMF receiver and can save memory waste and can the real-time processing.