Microsoft HoloLens - Case Scenario - Aviation Industry
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彩 戸倉It is a collection of use cases and usage scenarios which illustrate the use of Windows Mixed Reality.
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![Purpose Place Key feature Reference Image
JAL • Simulation
• Engineer Training
• Training room • 3D
• Actual size display
• Voice command
[YouTube]
Japan Airlines at
Worldwide Partner
Conference 2016
https://youtu.be/G
jZgI2oDcwM
Boeing • Simulation
• Work Support
• Project site • 3D
• Sharing contents
• Monitoring
• Dashboard
[YouTube]
Boeing: UAVs.
Holograms.
Wildfire.
https://youtu.be/o
mGoz66xHU8
• Simulation
• Engineer Training
• Training room
• Showroom
• 3D
• Voice command
Microsoft Ignite
2017 – Demo
Zone
SITA • Simulation
• Work Support
• Control Tower
• Project site
• 3D
• Monitoring
• Dashboard
Reimagine Airport
Control Centers
with HoloLens
technologyMicrosof
t HoloLens | Japan
Airlines at
Worldwide Partner
Conference 2016
https://youtu.be/D
rw7uw9wmak
Microsoft HoloLens | Case Scenario – Aviation industry
@ayatokura
2017.11.14](https://image.slidesharecdn.com/hololensaviation-171114113405/85/Microsoft-HoloLens-Case-Scenario-Aviation-Industry-1-320.jpg)
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Folding is a recent technique for building efficient recursive SNARKs. Several elegant folding protocols have been proposed, such as Nova, Supernova, Hypernova, Protostar, and others. However, all of them rely on an additively homomorphic commitment scheme based on discrete log, and are therefore not post-quantum secure. In this work we present LatticeFold, the first lattice-based folding protocol based on the Module SIS problem. This folding protocol naturally leads to an efficient recursive lattice-based SNARK and an efficient PCD scheme. LatticeFold supports folding low-degree relations, such as R1CS, as well as high-degree relations, such as CCS. The key challenge is to construct a secure folding protocol that works with the Ajtai commitment scheme. The difficulty, is ensuring that extracted witnesses are low norm through many rounds of folding. We present a novel technique using the sumcheck protocol to ensure that extracted witnesses are always low norm no matter how many rounds of folding are used. Our evaluation of the final proof system suggests that it is as performant as Hypernova, while providing post-quantum security.
Paper Link: https://eprint.iacr.org/2024/257
Mutation Testing for Task-Oriented Chatbots
Conversational agents, or chatbots, are increasingly used to access all sorts of services using natural language. While open-domain chatbots - like ChatGPT - can converse on any topic, task-oriented chatbots - the focus of this paper - are designed for specific tasks, like booking a flight, obtaining customer support, or setting an appointment. Like any other software, task-oriented chatbots need to be properly tested, usually by defining and executing test scenarios (i.e., sequences of user-chatbot interactions). However, there is currently a lack of methods to quantify the completeness and strength of such test scenarios, which can lead to low-quality tests, and hence to buggy chatbots.
To fill this gap, we propose adapting mutation testing (MuT) for task-oriented chatbots. To this end, we introduce a set of mutation operators that emulate faults in chatbot designs, an architecture that enables MuT on chatbots built using heterogeneous technologies, and a practical realisation as an Eclipse plugin. Moreover, we evaluate the applicability, effectiveness and efficiency of our approach on open-source chatbots, with promising results.
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