Prediction model for discomfort luminance levels of head‐mounted displays

Ha, Hye-Young; Kwak, Youngshin

doi:10.1002/col.22783

Cited by 3 publications

(1 citation statement)

References 11 publications

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“…Job scheduling is determined by the scheduling controller, so the choice of job scheduling algorithm has an important impact on the execution efficiency of the job. Hadoop's own schedulers include FIFO scheduler, Fair Scheduler, and Capacity Scheduler [7][8].…”

Section: Mapreduce Job Schedulingmentioning

confidence: 99%

Distributed Computing Test Model and Framework Based on Mapreduce

2022

DPS

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With the rapid development of network and related technologies and the continuous expansion of application fields, distributed systems have become the main choice for building network applications. This paper aims at the research and application of the distributed computing test model and framework based on MapReduce. This paper firstly proposes a performance testing method based on decision tree in cloud environment. The method is based on the decision tree model, and uses the test resources in the cloud environment to describe the test case generation, test script execution and performance bottleneck location in the performance test process in detail; by dividing and selecting the test case set, it can effectively reduce number of performance tests. Secondly, in view of the insufficient scalability of the performance test loop under the traditional test platform, this paper builds a cloud computing-based distribution system based on the open source cloud computing platform CloudStack, the performance testing tool LoadRunner, the Web lightweight development framework SSH, and the JavaScript library JQuery. The prototype system of the system performance test platform realizes the automatic configuration and dynamic expansion of the performance test environment in the cloud environment. The test platform mainly includes functions such as test task submission, virtual machine image matching, test environment automatic configuration, test task distribution and scheduling, cloud platform resource scheduling, and test result return. Experiments show that the algorithm in this paper effectively reduces the execution time by about 20%, and improves the system resource utilization by about 20%.

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Section: Mapreduce Job Schedulingmentioning

confidence: 99%

Distributed Computing Test Model and Framework Based on Mapreduce

2022

DPS

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Virtual reality-based study assessing the impact of lighting on attention in university classrooms

Castilla,

Higuera-Trujillo,

Llinares

2024

Journal of Building Engineering

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Method for characterizing small-spot luminance in medical virtual reality headsets

Dahal¹,

Eby²,

Lemaillet³

et al. 2023

Opt. Continuum

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We present an experimental method that utilizes a conic probe attached to an integrating sphere for characterizing the small-spot luminance of virtual reality (VR) head-mounted displays (HMDs). This allows for the measurement of relative luminance in virtual scenes and the assessment of VR displays for visualizing grayscale medical images. We characterized the relative luminance of the VIVE Pro and Oculus Rift by displaying test patterns with a circular dark spot of varying diameter in the bright field and compared the probe performance with commercially available systems. Compared to a conventional flat-panel display, the results show a significant level of veiling glare in the HMDs using both a customized conic probe with improved optical performance and an advanced imaging photometer. We also found no significant change in the relative luminance response with the probe’s working distance for the HMDs due to their unique optical architecture for near-eye viewing conditions. Our results highlight the issue of high veiling glare in HMDs and the importance of small-spot luminance measurements to adequately evaluate the technical performance of HMDs for emerging medical applications.

show abstract

Prediction model for discomfort luminance levels of head‐mounted displays

Cited by 3 publications

References 11 publications

Distributed Computing Test Model and Framework Based on Mapreduce

Distributed Computing Test Model and Framework Based on Mapreduce

Virtual reality-based study assessing the impact of lighting on attention in university classrooms

Method for characterizing small-spot luminance in medical virtual reality headsets

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