Research Question/Objective: Current advanced driver assistant systems combine the strengths of a human driver with the benefits of technical advancements. By raising the vehicle automation level, new human factors challenges emerge. Considering level 2 automation, where the driver is required to continuously monitor the system and remains responsible for vehicle safety, automation effects like...

Parallel file systems are widely used in clusters to provide high performance I/O. However, most of the existing parallel file systems are based on UNIX-like operating systems. We use the Microsoft .NET framework to implement a parallel file system for Windows. We also implement a file system driver to support existing applications written with Win32 APIs. In addition, a preliminary MPI-IO libr...

Device drivers are the most unreliable part of an operating system. In this paper, we propose a framework called nDriver. Based on the design diversity concept, it uses multiple implementations of a device driver to survive from driver faults. Once a fault happens in a driver, nDriver can dynamically replace the faulty driver with another implementation, instead of allowing the faulty driver to...

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Multimodal in-vehicle systems (MIVS) may improve time-sharing performance of drivers. However, it is not always clear for designers of MIVS about how to select appropriate modalities and determine the optimal order of messages presented to a driver. To solve this problem, this paper proposes a general procedure to select several scheduling methods (e.g., Johnson’s rule and non-identical paralle...

Existing cancer driver prediction methods are based on very different assumptions and each of them can detect only a particular subset of driver genes. Here we perform a comprehensive assessment of 18 driver prediction methods on more than 3,400 tumor samples from 15 cancer types, all to determine their suitability in guiding precision medicine efforts. We categorized these methods into five gr...

Speech interaction with in-car systems is becoming more commonplace as systems improve. New cars are often equipped with speech recognition systems to dial phone numbers and or control the in-car environment, and with speech output to provide verbal directions from navigation systems. The paper explores the possibilities of richer speech interaction between driver and car with automatic recogni...

The advance of computing technology has provided the means for building intelligent vehicle systems. Drowsy driver detection system is one of the potential applications of intelligent vehicle systems. Here we employ machine learning techniques to detect driver drowsiness. The system obtained 98% performance in predicting driver drowsiness. This is the highest prediction rate reported to date fo...

A current-mode output driver that supports SERDES applications is implemented using 0.13 μm Bulk and PD SOI CMOS technologies. Schematic simulation results confirm the enhanced performance of PD SOI for very high-speed interfaces. The PD SOI current-mode driver shows a 3 times lower data dependent jitter than the Bulk current-mode driver at the same 3.125 Gbps data rate of XAUI standard.