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Article
Open AccessStorage Assignment Using Nested Metropolis Sampling and Approximations of Order Batching Travel Costs
The Storage Location Assignment Problem (SLAP) is of central importance in warehouse operations. An important research challenge lies in generalizing the SLAP such that it is not tied to certain order-picking ...
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Chapter and Conference Paper
Optimization of the Storage Location Assignment Problem Using Nested Annealing
The Storage Location Assignment Problem (SLAP) has a significant impact on the efficiency of warehouse operations. We propose a multi-phase optimizer for the SLAP, where the quality of an assignment is based o...
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Chapter and Conference Paper
Out-of-Distribution Detection for Adaptive Computer Vision
It is well known that computer vision can be unreliable when faced with previously unseen imaging conditions. This paper proposes a method to adapt camera parameters according to a normalizing flow-based out-o...
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Article
Open AccessEfficient Order Batching Optimization Using Seed Heuristics and the Metropolis Algorithm
Order Picking in warehouses is often optimized using a method known as Order Batching, which means that one vehicle can be assigned to pick a batch of several orders at a time. There exists a rich body of rese...
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Chapter and Conference Paper
Layout-Agnostic Order-Batching Optimization
Order-batching is an important methodology in warehouse material handling. This paper addresses three identified shortcomings in the current literature on order-batching optimization. The first concerns the ov...
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Chapter and Conference Paper
Formulation of a Layout-Agnostic Order Batching Problem
To date, research on warehouse order-batching has been limited by reliance on rigid assumptions regarding rack layouts. Although efficient optimization algorithms have been provided for conventional warehouse ...
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Book
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Chapter
Reviews and Taxonomies
This chapter summarizes the existing review articles in the field of monitoring and diagnosing older adults at risk of health deterioration, in the context of smart-homes. We provide taxonomy of these notable ...
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Chapter
Discussion
This chapter briefly discusses the anticipated future challenges within the field of monitoring older adults and provides a number of future research directions. Some of the most notable challenges are lack of...
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Chapter
Datasets
Publicly available datasets constitute the ground to evaluate and compare the performance of proposed approaches for monitoring older patients at home. In this chapter, we shed light on the importance of using...
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Chapter
Conclusion
This chapter concludes the book by summarizing the current status and visions for research and developments in the cross-disciplinary field of monitoring older populations.
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Chapter
Monitoring Technology
This chapter aims at giving an insight into a variety of available monitoring technologies and techniques, which aim to provide solutions to the issues listed in Chap. 3
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Chapter
Introduction
In recent years, distributed computing and monitoring technologies have gained a lot of interest in the cross-disciplinary field of healthcare informatics. This introductory chapter reveals the growing need fo...
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Chapter
Relevant Scenarios for Home Monitoring Solutions for Older Adults
In this chapter, we describe three common scenarios of older people’s living situation in order to increase the understanding of when and how home monitoring can be used among older people at risk of worsening...
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Article
Open AccessUnsupervised Action Classification Using Space-Time Link Analysis
We address the problem of unsupervised discovery of action classes in video data. Different from all existing methods thus far proposed for this task, we present a space-time link analysis approach which consi...
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Chapter and Conference Paper
Human Action Recognition in Table-Top Scenarios : An HMM-Based Analysis to Optimize the Performance
Hidden Markov models have been extensively and successfully used for the recognition of human actions. Though there exist well-established algorithms to optimize the transition and output probabilities, the ty...
