• Asian-Australasian Journal of Animal Sciences
• /
• v.31 no.4
• /
• pp.576-584
• /
• 2018

Objective: This study aimed to develop a value-added product concerning technological and sensory characteristics changes of the use of mechanically deboned poultry meat (MDPM) as meat replacer in lamb and mutton emulsion-type sausages (mortadella). Methods: Sausages were produced with lamb and mutton and with different contents of MDPM. Six treatments, using lamb or mutton and 0%, 30%, and 60% of MDPM in relation to the meat batter, were produced and analyzed for pH, proximal composition, calcium and residual nitrite content, water activity, 2-thiobarbituric acid reactive substances (TBARS), instrumental color and texture profile. The sensory profile of the mortadella's was also evaluated by acceptance test and check-all-that-applies (CATA) analysis. Results: The MDPM addition increased (p<0.05) fat, residual nitrite and calcium content in the all sausage formulations, but mutton sausage had (p<0.05) higher fat and lower moisture content than lamb sausage. The pH, water activity, TBARS index and color was not affected by MDPM additions, while the mutton sausages were significantly redder (higher $a^*$, $C^*$, and lower $h^{\circ}$) and darker (lower $L^*$) than lamb sausages. Adding up to 60% of MDPM reduced (p<0.05) sausages hardness and chewiness. Overall, the meat replacement by MDPM increased the sausages acceptance, but the mutton sausage with 30% of MDPM replacer were the most preferred. Consumers related that pink color, glossy appearance, poultry meat-like taste, soft texture, juicy and greasy mouth feel to all sausages contain MDPM according to CATA analysis. Conclusion: Mutton from culled ewes can be utilized for mortadella production with 30% replacement of lean mutton and fat by MDPM.

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.8 no.5
• /
• pp.151-159
• /
• 2009

Network models for pedestrian flows have been studied in various ways. However, because of the simplicity and application, a number of researchers prefer the CA Model to analyze pedestrian's complicated behavior. These kinds of models based on Agent are being used as a microscopic analyzing method since it can easily adapt individuals' various characters and movement types. However, because pedestrians' movement can be (easily) effected by where they are and where they head, some models using the same rules have limit when considering pedestrians' every different movement. In this research, homogeneous section is defined as a similar movement type of individuals. With MDPM, we suggest simulation method explaining one-way walk and side-walk which could not be done in past.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.4 no.2
• /
• pp.87-95
• /
• 2003

Dynamic Programming Matching (DPM) is a mathematical optimization technique for sequentially structured problems, which has, over the years, played a major role in providing primary algorithms in pattern recognition fields. Most practical applications of this method in signature verification have been based on the practical implementational version proposed by Sakoe and Chiba [9], and il usually applied as a case of slope constraint p = 0. We found, in this case, a modified version of DPM by applying a heuristic (forward seeking) implementation is more efficient, offering significantly reduced processing complexity as well as slightly improved verification performance.

• The KIPS Transactions:PartB
• /
• v.10B no.4
• /
• pp.451-458
• /
• 2003

Dynamic Programming Matching (DPM) is a mathematical optimization technique for sequentially structured problems, which has, over the years, played a major role in providing primary algorithms in pattern recognition fields. Most practical applications of this method in signature verification have been based on the practical implementational version proposed by Sakoe and Chiba [9], and is usually applied as a case of slope constraint p = 0. We found, in this case, a modified version of DPM by applying a heuristic (forward seeking) implementation is more efficient, offering significantly reduced processing complexity as well as slightly improved verification performance.