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On Dyamping Characteristics of Viscoelastic Materials (점탄성재료의 진동감쇠특성에 관한 연구)

  • 이우식;이준근
    • Computational Structural Engineering
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    • v.7 no.1
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    • pp.99-107
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    • 1994
  • Viscoelastic materials are widely used to solve the vibration and noise problems. To apply the well-known damping technologies successfully to the vibration and noise problems, the damping characteristics of the viscoelastic materials applied to the base structures must be thoroughly understood. The objectives of the present study are : 1) to establish the damping measurement technique via modal testing by which the damping characteristics of viscoelastic materials can be measured in the university laboratory environment, and 2) to develop a computer program to draw the reduced-frequency-nomogram by use of restricted number of experimental data, which can be used efficiently for the damping analysis and application.

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Relationships between Myosin Light Chain Isoforms, Muscle Fiber Characteristics, and Meat Quality Traits in Porcine Longissimus Muscle

  • Choi, Young-Min;Ryu, Youn-Chul;Lee, Sang-Hoon;Kim, Byoung-Chul
    • Food Science and Biotechnology
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    • v.14 no.5
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    • pp.639-644
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    • 2005
  • The aim of this study was to investigate the effect of the myosin light chain (MLC) isoforms on the muscle fiber characteristics and meat quality traits in porcine longissimus muscle. Pale, soft, exudative (PSE) samples had a lower content of essential light chain (ELC) 1S isoforms and a higher proportion of the fiber type IIB than the reddish-pink, firm, non-exudative (RFN) samples. These compositions suggest that the PSE pork has a higher glycolytic and a lower oxidative capacity than the RFN pork. Therefore, these characteristics of PSE pork might affect the metabolic rate and meat quality traits, including protein solubility. In addition, the indicator traits of the postmortem metabolic rate were related to the ELC 1F/3F ratio ($pH_{45\;min}$: r = -0.43, P < 0.001; R-value: r = 0.53, P < 0.001). These results suggest that the MLC isoform composition can affect the postmortem metabolic rate and meat quality traits.

An Efficient Parallel Simulation Algorithm on Recursive Feedforward Network (Recursive Feedforword Network 상에서의 효율적인 병렬 시뮬레이션 알고리즘)

  • 옥시건
    • Journal of the Korea Society for Simulation
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    • v.4 no.2
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    • pp.79-92
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    • 1995
  • In this paper we present an efficient parallel simulation algorithm in recursive feedforward network(RFN) which can reduce the simulation delay while decreasing the number of null messages compared to the previous result. As a preprocessing step, we first determine the group and type of each oupput channel for the nodes using DFS(Depth First Search) algorithm, and show that the number of null messages as well as the simulation scheme. By the new scheme we decide if null messages are sent to the output channels or not according to the group to which it belongs.

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Objectively Predicting Ultimate Quality of Post-Rigor Pork Musculature: I. Initial Comparison of Techniques

  • Joo, S.T.;Kauffman, R.G.;Warner, R.D.;Borggaard, C.;Stevenson-Barry, J.M.;Lee, S.;Park, G.B.;Kim, B.C.
    • Asian-Australasian Journal of Animal Sciences
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    • v.13 no.1
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    • pp.68-76
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    • 2000
  • A total of 290 pork loins were selected to include a wide variation of quality to investigate the quality categories into which most pork falls, selection criteria for these categories and methods to objectively assess ultimate pork quality. They were probed at 24 h postmortem (PM) for the following: A) light reflectance by Danish Meat Quality Marbling (MQM), Hennessy Grading Probe (HGP) and Sensoptic Invasive Probe (SIP); B) electrical properties by NWK LT-K21 conductivity (NLT) and Sensoptic Resistance Probe (SRP): and C) pH by NWK pH-K21 (NpH). Also, measurements of % drip loss (PDL) and filter paper wetness (FPW), color brightness (L*), ultimate pH (pHu), lipid content, subjective color (SC), firmness/wetness (SF) and marbling scores (SM) were assessed. Each loin was categorized as either pale, soft and exudative (PSE), reddish-pink, soft and exudative (RSE), reddish-pink, firm and non-exudative (RFN) or dark, firm and dry (DFD). Statistically comparing coefficients of determination (CD), the results indicated that overall, the HGP predicted quality groups slightly better than MQM (CD=71 and 62% respectively), NpH and SRP were less effective (CD= 56 and 44% respectively), and SIP and NLT had the lowest values (CD=36 and 5% respectively). Combining various independent variable did not greatly improve the variation accounted for. When the data was sorted into marbling groups based on lipid content, this was not accurately predicted by any of the probe measurements. The MQM probe remained the best predictor for marbling class and accounted for about 25% of the lipid content variation. This was slightly improved to 33% when pHu was combined with MQM.

Determination of Water-holding Capacity of Porcine Musculature Based on Released Water Method Using Optimal Load

  • Joo, Seon-Tea
    • Food Science of Animal Resources
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    • v.38 no.4
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    • pp.823-828
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    • 2018
  • The purpose of this study was to evaluate the suitability of the released water (RW) method for measuring water-holding capacity (WHC) by pressure and filter-paper absorption within two thin plastic films. One hundred fifty pork loins with considerable variations in WHC (three pork qualities: PSE, pale, soft, and exudative; RFN, reddish-pink, firm, and nonexudative; and DFD, dark, firm, and dry; 50 pork loins in each pork quality group) were used to measure drip loss (DL)% and RW % after applying different loads (1.5, 2.0, 2.5, 3.0 and 3.5 kg). Percentages of DL and RW were significantly (p<0.05) different among pork quality groups. The RW % of 2.5 kg load sample was significantly (p<0.05) higher than that of 2.0 kg or 1.5 kg load sample. However, there were no significant (p>0.05) differences in RW % among 2.5 kg, 3.0 kg, and 3.5 kg load samples for all three pork quality groups. The RW % was highly and positively correlated (r>0.95; p<0.001) with DL %. The highest correlation was observed between DL % and RW % of 2.5 kg load sample (r=0.97; p<0.001). Among all RW loads within each quality groups, the highest correlation between DL % and RW % was observed for 2.5 kg load sample (r=0.43, 0.66, and 0.46 for PSE, RFN and DFD quality groups, respectively, p<0.001). These results imply that applying 2.5 kg load is the best for determination of RW %. It is recommended as a reference method to assess DL % of pork muscles.

On Damping Characteristics of Viscoelastic Material (점탄성재료의 진동 감쇠 특성에 관한 연구)

  • 이준근;박용석;이우식
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 1992.10a
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    • pp.14-18
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    • 1992
  • 진동을 제어하는 방법의 하나로 널리 응용되고 있는 진동감쇠 제어기술은 급속한 산업화에 부수되는 불필요한 진동이나 소음을 효과적으로 줄이기 위 하여 광범위하게 연구되어 오고 있다. 특히 수동감쇠제어는 기존의 구조물에 단지 표면처리등의 간단한 작업을 통해 큰 감쇠효과를 얻을 수 있을 뿐 아 니라 수명도 반영구적이고 사용장소의 구애를 거의 받지 않는다는 장점 때 문에 그 수요가 증가하고 있는 실정이다[1]. 그러나 대표적인 수동감쇠재료 인 점탄성재료는 우수한 감쇠성질을 가지고 있음에도 불구하고, 재료 자체가 주위환경에 따라 감쇠특성 및 물성치가 민감하게 변화하기 때문에 이 재료 로 감쇠처리된 구조물에는 유한요소법과 같은 구조해석기법을 응용하는 것 이 쉽지않다는 단점이 있다[2]. 따라서 본 연구에서는 이러한 제약을 극복하 기 위하여, 모우드해석법을 통해 유도된 점탄성재료의 주파수와 온도에 대한 특성치를 보여주는 Reduced Frequency Nomogram(RFN)을 전산화과정을 거쳐 그래프화 하여 미지의 온도와 주파수에서 특성치를 구할 수 있도록 하 였다. 이 자료를 근거로 점탄성 재료를 포함한 실제 구조물의 이론적인 해석 을 가능하게 함으로써 이 재료의 광범위한 활용을 도모하였다.

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A Study on Development of Long-Term Runoff Model for Water Resources Planning and Management (수자원의 이용계획을 위한 장기유출모형의 개발에 관한 연구)

  • Cho, Hyeon-Kyeong
    • Journal of the Korean Society of Industry Convergence
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    • v.16 no.3
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    • pp.61-68
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    • 2013
  • Long-term runoff model can be used to establish the effective plan of water reources allocation and the determination of the storage capacity of reservoir. So this study aims at the development of monthly runoff model using artificial neural network technique. For this, it was selected multi-layer neural network(MLN) and radial basis function neural network(RFN) model. In this study, it was applied model to analysis monthly runoff process at the Wi stream basin in Nakdong river which is representative experimental river basin of IHP. For this, multi-layer neural network model tried to construct input 3, hidden 7, and output 1 for each number of layer. As the result of analysis of monthly runoff process using models connected with artificial neural network technique, it showed that these models were effective in the simulation of monthly runoff.

Possible Muscle Fiber Characteristics in the Selection for Improvement in Porcine Lean Meat Production and Quality

  • Kim, J.M.;Lee, Y.J.;Choi, Y.M.;Kim, B.C.;Yoo, B.H.;Hong, K.C.
    • Asian-Australasian Journal of Animal Sciences
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    • v.21 no.10
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    • pp.1529-1534
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    • 2008
  • The aim of this study was directed at exploring the possible use of muscle fiber characteristics as new selection traits for improving both porcine lean meat production and quality. A total of 174 (114 Yorkshire, 30 Landrace, and 30 Meishan) pigs were used for this study, and lean meat production ability was estimated by backfat thickness and loin eye area. The Longissimus dorsi muscle was taken in order to measure meat quality and muscle fiber characteristics. Due to the high correlations between total muscle fiber number and most of the performance traits, all pigs were classified into three groups (low, intermediate, or high) by total muscle fiber number using cluster analysis. The high group had the highest loin eye area (p<0.001). The meat quality traits were within normal ranges as reddish pink, firm, and nonexudative (RFN) pork, but the groups classified as intermediate and high had relatively large drip loss percentages (p<0.05), produced more than twice the amount of pale, soft, and exudative (PSE) pork as compared to the low group. The group with a high total muscle fiber number was further classified, based on type 2b fiber percentage, into low or high groups by cluster analysis. The results showed that the low type 2b fiber group had good loin eye area (p<0.05), small drip loss (p<0.05), and did not produce PSE pork. For these reasons, a high total muscle fiber number, with a low percentage of type 2b fibers, may be suitable in selecting for improvements in both lean meat production and meat quality.

Meat Quality of Crossbred Porkers without the Gene RYR1T Depending on Slaughter Weight

  • Czyzak-Runowska, Grazyna;Wojtczak, Janusz;Lyczynski, Andrzej;Wojtowski, Jacek;Markiewicz-Keszycka, Maria;Stanislawski, Daniel;Babicz, Marek
    • Asian-Australasian Journal of Animal Sciences
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    • v.28 no.3
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    • pp.398-404
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    • 2015
  • The first aim of the study was to compare selected meat quality parameters in porkers without the gene $RYR1^T$ (ryanodine receptor gene). These were porkers slaughtered at 100 to 115 kg and 116 to 130 kg live weight. The second aim of the study was to determine the occurrence frequency of standard-quality meat (red, firm, nonexudative [RFN]) and the occurence frequency of defective meat (pale, soft, exudative [PSE] and acid, soft, exudative [ASE]). The analysis was conducted on the longissimus lumborum muscle in 114 crossbred porkers. The porkers were a cross of Camborough 22 sows and boars from lines 337PIC (Pig Improvement Company), Norsvin Landrace and Pietrain. All of the animals were provided with identical environmental and nutritional conditions. The average weight of the slaughtered animals in the light and heavy groups was 110 kg and 122 kg, respectively. Both groups had the same average post-slaughter meatiness (56.5%). A statistical analysis of selected meat-quality parameters did not show any significant differences between the weight groups. On the other hand, the classification based on carcass quality showed an occurence frequency of defective meat in heavier crossbred porkers (116 to 130 kg) that was three times higher than in those cross bred animals which weighed 100 to 115 kg when slaughtered. In porkers without the gene $RYR1^T$, the defective meat types PSE and ASE occurred with a frequency of 17.54%.