scholarly journals The Tight-interlocked Rhythm Section: Production and Perception of Synchronisation in Jazz Trio Performance

2017 ◽  
Vol 46 (4) ◽  
pp. 329-341 ◽  
Author(s):  
Alex Hofmann ◽  
Brian C. Wesolowski ◽  
Werner Goebl
Keyword(s):  
2019 ◽  
Vol 16 (3) ◽  
pp. 73
Author(s):  
Steaven Leonardo Chandra ◽  
Theresia Sunarni ◽  
Kristoforus Jawa Bendi ◽  
Dominikus Budiarto

The layout of production facilities has a very important impact and interrelationship between facilities with each other to support the smoothness of the production process.Frequently the biggest problems in the production system are caused by unsystematic handling of materials. This study, applies a genetic algorithm to obtain a facility layout design (machine) optimally. Inputs from this study include machine numbers, machine dimensions, machine sequences in each section, production volume in each section, and flow frequency in each section. The output of this study is the machine layout with a minimum total flow cost. This study solved the case in the rehab product production facility at PT Shima Prima Utama which consisting of 16 machines and 29 components. The results of the study in this case are that the optimal machine placement sequence is 13, 3, 9, 15, 6, 10, 2, 12, 8, 16, 7, 1, 11, 5, 14 and 4 with a total flow cost of 197,434.


2010 ◽  
Vol 19 (08n10) ◽  
pp. 1265-1269
Author(s):  
R. S. CARAÇA ◽  
M. MALHEIRO

In this work we study the electric charge effect on the cross section production of charged mini black holes (MBH) in accelerators. We analyze the charged MBH solution using the fat brane approximation in the context of the ADD model. The maximum charge–mass ratio condition for the existence of a horizon radius is discussed. We show that the electric charge causes a decrease in this radius and, consequently, in the cross section. This reduction is negligible for protons and light-ions but can be important for heavy-ions.


2017 ◽  
Vol 9 (1) ◽  
pp. 131 ◽  
Author(s):  
Hadi Pazoki Toroudi ◽  
Mahsa Sadat Madani ◽  
Fatemeh Sarlak ◽  
Yosef GholipourKanani

In this paper, a concurrent planning of production and distribution is considered for manufacturers. In the production section production machines with a specific capacity that has the possibility of process multiple tasks simultaneously are intended and the tasks have the desired size and processing time and the overall size of the tasks within each category does not exceed the capacity of the machine. Also in distribution section the vehicles have specified capacity. In this study, by using meta-heuristic Genetics Algorithm the production problem is solved and in genetic algorithms to obtain better solutions help operators crossover and mutation has been taken. Results show that by increasing the size of the issue of genetic algorithms nearly optimum solutions and provides a shorter running time.


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