We introduce a scalable photonic platform that enables efficient generation of entangled photon pairs from semiconductor quantum dot. Our system, which is based on self-aligned dot- micro-cavity structure, erases the need for complex steps lithography and nanofabrication. experimentally show collection efficiency 0.17 combined with Purcell enhancement up to 1.7. harness potential our device gen...

We study a variant of online bin packing, called colorful bin packing. In this problem, items that are presented one by one are to be packed into bins of size 1. Each item i has a size si ∈ [0, 1] and a color ci ∈ C, where C is a set of colors (that is not necessarily known in advance). The total size of items packed into a bin cannot exceed its size, thus an item i can always be packed into a ...

We consider three variants of the open-end bin packing problem. Such variants of bin packing allow the total size of items packed into a bin to exceed the capacity of a bin, provided that a removal of the last item assigned to a bin would bring the contents of the bin below the capacity. In the first variant, this last item is the minimum sized item in the bin, that is, each bin must satisfy th...

Many combinatorial optimization problems such as the bin packing and multiple knapsack problems involve assigning a set of discrete objects to multiple containers. These problems can be used to model task and resource allocation problems in multi-agent systems and distributed systems, and can also be found as subproblems of scheduling problems. We propose bin completion, a branch-and-bound stra...

An instance of the classical bin packing problem consists of a positive real C and a list L = (a1, a2, ..., an) of items with sizes 0 < s(ai) ≤ C, 1 ≤ i ≤ n; a solution to the problem is a partition of L into a minimum number of blocks, called bins, such that the sum of the sizes of the items in each bin is at most the capacity C. The capacity is just a scaling parameter; as is customary, we pu...

Bin management during apple harvest season is an important activity for orchards. Typically, empty and full bins are handled by tractor-mounted forklifts or bin trailers in two separate trips. In order to simplify this work process and improve work efficiency of bin management, the concept of a robotic bin-dog system is proposed in this study. This system is designed with a “go-over-the-bin” fe...

This paper presents a parallel genetic algorithm for three dimensional bin packing with heterogeneous bins using Hadoop Map-Reduce framework. The most common three dimensional bin packing problem which packs given set of boxes into minimum number of equal sized bins is proven to be NP Hard. The variation of three dimensional bin packing problem that allows heterogeneous bin sizes and rotation o...