scholarly journals Address-Event Communication Using Token-Ring Mutual Exclusion

Author(s):  
Nabil Imam ◽  
Rajit Manohar
Keyword(s):  
1989 ◽  
Vol 20 (5) ◽  
pp. 57-68
Author(s):  
Teruo Higashino ◽  
Mamoru Fujii ◽  
Ken'Ichi Taniguchi ◽  
Tadao Kasami ◽  
Masaaki Mori
Keyword(s):  

2019 ◽  
Vol 139 (7) ◽  
pp. 802-811
Author(s):  
Kenta Fujimoto ◽  
Shingo Oidate ◽  
Yuhei Yabuta ◽  
Atsuyuki Takahashi ◽  
Takuya Yamasaki ◽  
...  

1995 ◽  
Vol 32 (4) ◽  
pp. 77-88 ◽  
Author(s):  
H. Horn ◽  
D. Uhlmann

Since 1975, different patterns of the growth of Fragilaria and Cyanobacteria in the mid or late summer have been observed in the Saidenbach Reservoir. In most of the years, there was a mutual exclusion of mass growths of these two groups. High yields of Fragilaria caused low yields of blue-greens and vice versa. In the first years, Fragilaria was always the first to achieve a mass growth, followed by the Cyanobacteria. Then, in the last years, the blue-greens were succeeded by Fragilaria. Only in some years, there was a large and simultaneous growth of both groups. It has been shown, that the supply of silicon and phosphorus immediately before controlled the pattern of succession in the midsummer period. Mostly, the Si:P ratio was the regulating factor, but there were also years in which the absolute concentration level of these two nutrients were either non-limiting high or below the minimum resource concentration necessary to compensate for the losses. In these cases, the Si:P ratio lost its controlling function. Other influencing factors are discussed, in particular the effect of turbulent mixing. The special nutrient conditions in the midsummer were not only determined by the external load but also by the Si depletion during the spring mass development of diatoms other than Fragilaria, which mostly is physically controlled. Therefore, the succession pattern in the midsummer is sensitive to the meteorological conditions to a large extent.


Author(s):  
András Éles ◽  
István Heckl ◽  
Heriberto Cabezas

AbstractA mathematical model is introduced to solve a mobile workforce management problem. In such a problem there are a number of tasks to be executed at different locations by various teams. For example, when an electricity utility company has to deal with planned system upgrades and damages caused by storms. The aim is to determine the schedule of the teams in such a way that the overall cost is minimal. The mobile workforce management problem involves scheduling. The following questions should be answered: when to perform a task, how to route vehicles—the vehicle routing problem—and the order the sites should be visited and by which teams. These problems are already complex in themselves. This paper proposes an integrated mathematical programming model formulation, which, by the assignment of its binary variables, can be easily included in heuristic algorithmic frameworks. In the problem specification, a wide range of parameters can be set. This includes absolute and expected time windows for tasks, packing and unpacking in case of team movement, resource utilization, relations between tasks such as precedence, mutual exclusion or parallel execution, and team-dependent travelling and execution times and costs. To make the model able to solve larger problems, an algorithmic framework is also implemented which can be used to find heuristic solutions in acceptable time. This latter solution method can be used as an alternative. Computational performance is examined through a series of test cases in which the most important factors are scaled.


Sign in / Sign up

Export Citation Format

Share Document