Malleable iron pipes are widely used in construction, manufacturing, aerospace, and many other fields. Cast malleable need to be treated flat meet the needs of different shapes sizes. This process is usually completed manually, which low efficiency subject potential safety risks. To solve this problem, a machine vision method proposed detect localize pipes. Point cloud images obtained by Random...

Abs t r ac t . The ability to produce malleable parallel applications that can be stopped and reconfigured during the execution can offer attractive benefits for both the system and the applications. The reconfiguration can be in terms of varying the parallelism for the applications, changing the data distributions during the executions or dynamically changing the software components involved i...

We study the problems of non-preemptively scheduling and packing malleable and parallel tasks with precedence constraints to minimize the makespan. In the scheduling variant, we allow the free choice of processors; in packing, each task must be assigned to a contiguous subset. Malleable tasks can be processed on different numbers of processors with varying processing times, while parallel tasks...

We present the design, implementation, and an evaluation of Elastic Phoenix. Based on the original Phoenix from Stanford, Elastic Phoenix is also a MapReduce implementation for shared-memory systems. The key new feature of Elastic Phoenix is that it supports malleable jobs: the ability add and remove worker processes during the execution of a job. With the original Phoenix, the number of proces...

In the current study we examine how individual differences in older adults' global cognitive function impacts the extent to which their attitudes toward stigmatized individuals are malleable. Because prior research has elucidated the neural processes that are involved in evaluating stigmatized individuals who are responsible or not responsible for their condition, a cognitive neuroscience appro...