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Lean is spreading in every industry, pushed by companies’ needs to continuously improve their system and their processes. However, excluding companies operating in the traditional context of mass production, there is not a unique and codified way of applying kaizen to seek perfection and improve performances. The purpose of this article is to illustrate an original pattern of how kaizen is applied...
Due to change in customer requirements, companies, especially MTO companies, started focusing on the internal flow. Therefore the study of different production planning techniques, particularly order review and release methods, in a pure flow shop is slowly becoming important. Literature shows that research so far is mostly confined in theoretical studies, but there is scarcely any evidence of applying...
We propose an approach for semi-automatic annotation of object instances. While most current methods treat object segmentation as a pixel-labeling problem, we here cast it as a polygon prediction task, mimicking how most current datasets have been annotated. In particular, our approach takes as input an image crop and sequentially produces vertices of the polygon outlining the object. This allows...
The goal of this paper is to perform 3D object detection from a single monocular image in the domain of autonomous driving. Our method first aims to generate a set of candidate class-specific object proposals, which are then run through a standard CNN pipeline to obtain highquality object detections. The focus of this paper is on proposal generation. In particular, we propose an energy minimization...
The goal of this paper is to enable a 3D “virtual-tour” of an apartment given a small set of monocular images of different rooms, as well as a 2D floor plan. We frame the problem as inference in a Markov Random Field which reasons about the layout of each room and its relative pose (3D rotation and translation) within the full apartment. This gives us accurate camera pose in the apartment for each...
Recently Wireless Sensor Networks are used in applications that are "close to human" (healthcare, context sensing etc.) as well as "close to the environment" (weather sensing, seismic activity sensing, disaster warning etc.). Many of these applications are prone to security threats. Due to lightweight processors, limited battery etc. sophisticated encryption algorithms could not...
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