• 제목/요약/키워드: Transportation technology

검색결과 4,325건 처리시간 0.026초

Effects of Stocking Density and Transportation Time of Market Pigs on Their Behaviour, Plasma Concentrations of Glucose and Stress-associated Enzymes and Carcass Quality

  • Kim, D.H.;Woo, J.H.;Lee, C.Y.
    • Asian-Australasian Journal of Animal Sciences
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    • 제17권1호
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    • pp.116-121
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    • 2004

  • It is known that the transportation stress of market pigs can affect their carcass quality and that blood concentrations of glucose, creatine kinase (CK) and lactate dehydrogenase (LDH) are indicators of the transportation stress. Fifty-seven gilts and 57 barrows weighing approximately 110 kg were randomly assigned into six groups in a 3 [high (0.31 $m^2/100$ kg BW)-, medium (0.35 $m^2$)- and low (0.39 $m^2$)-stocking densities]${\times}2$[1 h vs. 3 h transportation time] arrangement of treatments. Blood samples were taken during transportation and after 2 h lairage. The percentage of "standing" animals during transportation was less in the low- than in the mediumor high-stocking density; the opposite was true for the "sitting" posture. Plasma concentrations of glucose, CK and LDH increased after loading and declined to the resting levels after lairage. Concentrations of CK and LDH were greater in the 3 h vs. 1 h transportation group. Moreover, the LDH concentration was less in the low- than in the medium- or high-density group. Also detected was a significant interaction between the stocking density and transportation time in all of these blood variables. The incidence of pale, soft and exudative (PSE) carcass was greatest in the high-stocking density group. Interestingly, the PSE incidence increased following the 3 h vs. 1 h transportation at the low-density, but not at the medium-density. Results suggest that the medium-density may be preferable to the lowdensity in the long-distance transportation.

  • https://doi.org/10.5713/ajas.2004.116 인용 PDF KSCI

딥 러닝을 이용한 시각장애인을 위한 실시간 버스 도착 알림 시스템 (A Real-time Bus Arrival Notification System for Visually Impaired Using Deep Learning )

  • 장세영;유인재;김석윤;김영모
    • 반도체디스플레이기술학회지
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    • 제22권2호
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    • pp.24-29
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    • 2023

  • In this paper, we propose a real-time bus arrival notification system using deep learning to guarantee movement rights for the visually impaired. In modern society, by using location information of public transportation, users can quickly obtain information about public transportation and use public transportation easily. However, since the existing public transportation information system is a visual system, the visually impaired cannot use it. In Korea, various laws have been amended since the 'Act on the Promotion of Transportation for the Vulnerable' was enacted in June 2012 as the Act on the Movement Rights of the Blind, but the visually impaired are experiencing inconvenience in using public transportation. In particular, from the standpoint of the visually impaired, it is impossible to determine whether the bus is coming soon, is coming now, or has already arrived with the current system. In this paper, we use deep learning technology to learn bus numbers and identify upcoming bus numbers. Finally, we propose a method to notify the visually impaired by voice that the bus is coming by using TTS technology.

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