We propose evaluation approaches to multi-item base-stock inventory policies where unidirectional substitutions are allowed among part types. The problems in the paper are in the context of spare parts management and we identify two substitution cases: substitution of incoming demand and substitution of backlogged demand. This leads us to three unidirectional substitution policies, for each of ...

Parallelism can be exploited to handle the enormous computational requirements of many vision applications. However, the computational power oered by multiprocessor architectures cannot be fully harnessed to achieve the desired speedup. This is primarily due to the unbalanced distribution of computational load among the processors of a parallel architecture. Furthermore, in parallel implementat...

We present a continuous-review inventory model for tactical planning in a multi-item, multi-echelon service parts distribution system with time-based service level requirements. Our goal is to determine base stock levels for all items at all locations so that the service level agreements are met at minimum investment. We present exact time-based fill rate expressions for each item and efficient...

In modern multiprocessor systems, processors can be stalled by inter-task communication when reading from a remote buffer. This paper presents a solution for the inter-task communication, that has a minimal impact on the performance of the system, hides the inter-task communication latency without requiring additional hardware. The solution applies to jobs, represented as task graphs, where the...

The imprecise computation (IC) model is a general scheduling framework, capable of expressing the precision vs. timeliness trade-off involved in many current real-time applications. In that model, each task comprises mandatory and optional parts. While allowing greater scheduling flexibility, mandatory parts in the IC model have still hard deadlines and hence they must be completed before the t...

University course timetabling problem is one of the hard problems and it must be done for each term frequently which is an exhausting and time consuming task. The main technique in the presented approach is focused on developing and making the process of timetabling common lecturers among different departments of a university scalable. The aim of this paper is to improve the satisfaction of com...

Parallelism can be exploited to handle the enormous computational requirements of many vision applications. However, the computational power oered by multiprocessor architectures cannot be fully harnessed to achieve the desired speedup. This is primarily due to the unbalanced distribution of computational load among the processors of a parallel architecture. Furthermore, in parallel implementat...

We present a unified multi-task learning architecture for fast and accurate pedestrian detection. Different from existing methods which often focus on either new loss function or architecture, we propose an improved convolutional neural network to effectively efficiently interfuse the task of detection semantic segmentation. To achieve this, integrate lightweight segmentation branch Faster R-CN...

unlike the classical deformation analysis of the earth crust, which derives the planar and vertical strains separately, in this study, we have offered a method for 3-d deformation study based on intrinsic geometry of the manifolds on the topographic surface of the earth. in this way, our method would be based on the 2-d metric tensor of horizontal deformation and 2-d curvature tensor of vertica...