• Title/Summary/Keyword: Multiplexed detection

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Detection of Meat Origin (Species) Using Polymerase Chain Reaction

  • Park, Yong Hyun;Uzzaman, Md. Rasel;Park, Jeong-Woon;Kim, Sang-Wook;Lee, Jun Heon;Kim, Kwan-Suk
    • Food Science of Animal Resources
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    • v.33 no.6
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    • pp.696-700
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    • 2013
  • A quick and reliable method for identifying meat origin is developed to ensure species origin of livestock products for consumers. The present study examined the identification of meat sources (duck, chicken, goat, deer, pig, cattle, sheep, and horse) using PCR by exploiting the mitochondrial 12S rRNA and mitochondrial cytochrome b genes. Species-specific primers were designed for some or all mitochondrial 12S rRNA nucleotide sequences to identify meat samples from duck, chicken, goat, and deer. Mitochondrial cytochrome b genes from pig, cattle, sheep, and horse were used to construct species-specific primers, which were used to amplify DNA from different meat samples. Primer sets developed in this study were found to be superior for detecting meat origin when compared to other available methods, for which the discrimination of meat origin was not equally applicable in some cases. Our new development of species-specific primer sets could be multiplexed in a single PCR reaction to significantly reduce the time and labor required for determining meat samples of unknown origin from the 8 species. Therefore, the technique developed in this study can be used efficiently to trace the meat origin in a commercial venture and help consumers to preserve their rights knowing origin of meat products for social, religious or health consciousness.

Detection of 10-GHz Optical Single-/Double-Sideband Labels Using Fiber-Optic Interleavers (광섬유 인터리버를 이용한 10-GHz 광 단측파대/양측파대 레이블 검출)

  • Park, Kyoung-Deuk;Shin, Jong-Dug;Kim, Boo-Gyoun
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.32 no.7C
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    • pp.652-657
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    • 2007
  • Optical subcarrier-multiplexed (OSCM) labels in optical label switching networks have been detected using interleavers composed of fiber-optic Mach-Zehnder interferometer. 10-GHz optical single-/double-sideband signals generated from dual-electrode Mach-Zehnder intensity modulator have been used as the OSCM labels. In the case of single-sideband signals, the upper-sideband was observed to be suppressed about 16.8 dB compared with the lower-sideband from the optical spectrum measured at the label extraction output. For the case of double-sideband signals, both sidebands appeared with small insertion loss at the interleaver output. Since we used the phase-shift method to generate single-sideband signals, the power level of the single-sideband was higher by 3 dB than that of the double-sidebands.

Proposal of New Data Processing Function to Improve the Security of Self-driving Cars' Systems (자율주행 자동차의 시스템 보안 향상을 위한 새로운 데이터처리 기능 제안)

  • Jang, Eun-Jin;Shin, Seung-Jung
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.20 no.4
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    • pp.81-86
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    • 2020
  • With the development of the intelligent Internet of Things AIoT that goes beyond the IoT of the Internet of Things, the industry is changing overall. In addition, with the advent of the 4th Industrial Revolution, revolutionary changes and developments are also taking place in the automobile industry. A representative example is "autonomous driving vehicle". Because the domestic and foreign interests in autonomous vehicles have increased, many developments have been made, and although limited, they have developed into the commercialization stage. However, the structure of the autonomous vehicle that collects, analyzes, and controls data using various sensors installed in the vehicle, not the driver, is often insufficiently exposed to hacking due to the lack of multiplexed devices for security. In this case, as this can be a threat not only to the driver, but also to the surrounding environment, this paper proposes a new data processing function to improve the system security of autonomous vehicles.

A Receiver Algorithm for BER Performance Improvement in the Constant Amplitude Multi-code Spread Spectrum System based on the Extended $m$-sequence (확장 $m$-시퀀스 기반의 정진폭 멀티코드 대역확산 통신시스템에서 비트오율 성능 개선을 위한 수신기 알고리즘)

  • Kim, Dong-Joo;Han, Jun-Sang;Kim, Myoung-Jin
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.49 no.7
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    • pp.12-22
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    • 2012
  • The main drawback of the multi-code spread spectrum communication system, which spreads data bits stream by the multiplexed orthogonal codes, is the need for the highly linear amplifier. Several constant amplitude precoding schemes have been proposed for the Walsh code or the extended $m$-sequence based multi-code spread spectrum systems. In the constant amplitude spread spectrum systems the accompany code is transmitted together with orthogonal codes to maintain the transmitter output in a constant level. In this paper we propose the use of the accompany in the receiver to improve the BER performance. The proposed receiver has the capability to correct the code detection error(up to one code error). We carried out simulations to verify the validity of the proposed algorithm. BER performance improvement was noticed compared with the conventional receiver.

Impact Monitoring of Composite Structures using Fiber Bragg Grating Sensors (광섬유 브래그 격자 센서를 이용한 복합재 구조물의 충격 모니터링 기법 연구)

  • Jang, Byeong-Wook;Park, Sang-Oh;Lee, Yeon-Gwan;Kim, Chun-Gon;Park, Chan-Yik;Lee, Bong-Wan
    • Composites Research
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    • v.24 no.1
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    • pp.24-30
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    • 2011
  • Low-velocity impact can cause various damages which are mostly hidden inside the laminates or occur in the opposite side. Thus, these damages cannot be easily detected by visual inspection or conventional NDT systems. And if they occurred between the scheduled NDT periods, the possibilities of extensive damages or structural failure can be higher. Due to these reasons, the built-in NDT systems such as real-time impact monitoring system are required in the near future. In this paper, we studied the impact monitoring system consist of impact location detection and damage assessment techniques for composite flat and stiffened panel. In order to acquire the impact-induced acoustic signals, four multiplexed FBG sensors and high-speed FBG interrogator were used. And for development of the impact and damage occurrence detections, the neural networks and wavelet transforms were adopted. Finally, these algorithms were embodied using MATLAB and LabVIEW software for the user-friendly interface.