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      • SCIESCOPUSKCI등재

        Effect of Cattle Breed on Meat Quality, Muscle Fiber Characteristics, Lipid Oxidation and Fatty Acids in China

        Xie, Xiangxue,Meng, Qingxiang,Cui, Zhenliang,Ren, Liping Asian Australasian Association of Animal Productio 2012 Animal Bioscience Vol.25 No.6

        The objective was to compare meat quality, muscle fiber characteristics, lipid oxidation and fatty acids of Limousin (LIM), Simmtental (SIM), Luxi (LX), Qinchuan (QC) and Jinnan (JN) offered the same diet in China. After finishing, eight bulls from each breed were randomly selected for slaughter at 18.5 months old. Longissimus dorsi (ld) muscle was taken from the carcass for meat quality evaluations. Breed had little effect on most of meat and fat color parameters except for Hue and $b^*$ in which QC had lower values. LIM showed higher pH (24 h) and better water holding capacity than other breeds. LIM showed the lowest dry matter content but the highest crude protein. LX and LIM had higher percentage and density of red muscle fiber than other breeds. Lipid oxidations were significantly lower in LIM than in QC, with the LX, SIM and JN having the intermediate values. Compared to other four breeds, QC provided the highest values of polyunsaturated fatty acids (PUFA), n-6 fatty acids and n-3 fatty acids. In conclusion, LIM scored better on most of meat quality characteristics; however, local breeds such as LX and QC also had better muscle fiber characteristics and better fatty acids composition.

      • The Research on WSNs Localization Algorithm for Danger Area Warning

        Yang Guangyou,Jiang Jinyu,Xie Zhenliang,GAN Xiong 보안공학연구지원센터 2016 International Journal of Future Generation Communi Vol.9 No.1

        Wireless sensor networks (WSNs) are a new kind of data acquisition technology for danger area warning to ensure the safety of personnel production operation. In order to apply the suitable wireless node localization algorithm for danger area warning,an improved CT-IPIT+ algorithm is proposed in this paper.Considered the "edge effect", the algorithm improved the interior point judgment rules which reduces the error rate of Out-To-In effectively.Through the selection of reasonable restriction threshold, the In-To-Out error is eliminated.By counting number of inside and outside judgement results, the purpose of reducing the total error rate of misjudgment is further realized.Simulation results show that the proposed algorithm can reduce the rate of two types of errors and the total error rate can be controlled under 6.3%.

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