A GPU-Accelerated Approach to Static Stability Assessments for Pallet Loading in Air Cargo

The static stability constraint is one of the most important constraints in pallet loading and plays a substantial role when assembling safe and loadable palletizing layouts. Current approaches reach their limits as soon as additional complexity is added, which is a given in the practice of air cargo logistics, or when performance becomes important. As our central objective, we explore a new approach to calculate static stability more performantly and to cover more complexity by relaxing several simplifying assumptions. The approach is implemented in a prototype and builds on the emerging technology of graphical processing unit acceleration in combination with physics engines. We propose a new artifact design and summarize the how-to knowledge in the form of abstracted design principles. Our results demonstrate an improvement in terms of performance depending on the underlying hardware. We develop a conceptual model to assist future research in choosing a solution technology

Enablers in Crisis Information Management: A Literature Review

Social media often plays a central role in crisis informatics as it is an important source for assessing, understanding, and locating crises quickly and accurately. In addition, social media enables actors to react more effectively and efficiently when managing crises. However, enablers of crisis information management have not been carved out explicitly in a systematic view. Therefore, we perform a literature review to synthesize the existing literature on crisis information management with a focus on technical enablers and their classification into the crisis-management phases. As our results show, searching for crisis informatics mostly results in social media-related publications. We found that Twitter is one of the most important technical enablers but that research on other social media platforms is underrepresented. Also, most publications center on the post-crisis phases of crisis management, leaving out the pre-crisis phases

Predicting Static Stability with Data-Driven Physics in Air Cargo Palletizing

Proposing air cargo palletizing solutions requires an assessment by a physics engine of whether a solution is physically stable, which can take up a disproportionate amount of computation and, thus, produce a bottleneck in the optimization pipeline. This problem can be tackled by replacing the physics engine with a data-driven model that learns to map proposed packing pattern solutions directly to its stability value. We develop a prototype of such a datadriven model and find that this approach yields practicable results and does so multiple orders of magnitudes faster than a commonly used physics engine

The San Antonio Compatriot

Bimonthly publication of the San Antonio Chapter of the Texas Society Sons of the American Revolution, containing news and events related to the organization and its members

The San Antonio Compatriot

Bimonthly publication of the San Antonio Chapter of the Texas Society Sons of the American Revolution, containing news and events related to the organization and its members

The San Antonio Compatriot

Bimonthly publication of the San Antonio Chapter of the Texas Society Sons of the American Revolution, containing news and events related to the organization and its members

The San Antonio Compatriot

Bimonthly publication of the San Antonio Chapter of the Texas Society Sons of the American Revolution, containing news and events related to the organization and its members

The San Antonio Compatriot

Bimonthly publication of the San Antonio Chapter of the Texas Society Sons of the American Revolution, containing news and events related to the organization and its members

The San Antonio Compatriot

Bimonthly publication of the San Antonio Chapter of the Texas Society Sons of the American Revolution, containing news and events related to the organization and its members

The San Antonio Compatriot

Bimonthly publication of the San Antonio Chapter of the Texas Society Sons of the American Revolution, containing news and events related to the organization and its members