5,702 research outputs found
DRIVER rehberi 2.0: içerik sağlayıcılar için rehber - OAI-PMH ile metinsel bilgi kaynaklarının keşfi
No full textBu rehber dijital bilimsel kaynakların ortaya çıkarılmasında Kurumsal Arşiv Yöneticileri ve sorumlularının OAI-PMH ve Dublin Core Üst Verisini kullanarak kurumsal arşiv çıktılarını standart hale getirebilmesi ve oluşturulan bu arşivlerin birlikte çalişabirliğini sağlamak amacıyla hazırlanmıştır. Rehberin çevirisi 19.08.2014 tarihinde tamamlanarak kullanıma sunulmuştur.Çelik, Sönmez (Dogus Author)Genel anlamda iletişim için B kişisinin A kişinin söylediğini anlayabilmesi çok önemlidir. Ortak bir anlayış için ortak bir zemin, nesnelerin anlamları konusunda farkındalık sağlayan temel bir sözlüğe ihtiyaç vardır. Bu noktadan sonra kişi akıl yürütmeye başlayabilir. Açık erişim sistemleri akademik iletişimi desteklemek için aynı dili konuşmalıdır. Bu aynı zamanda ortak bir zemin yaratmak için de gereklidir.
Teknik anlamda, “konuşabilirlik” sağlayarak ortak bir zemin yaratırız. Konuşabilirlik farklı katmanlarda yürütülebilir. DRIVER Rehberinde konuşabilirlik, söz dizimsel (OAI-PMH kullanımı ve OAI_DC kullanımı) ve anlamsal (terminolojinin kullanımı) olmak üzere iki temel yolla elde edilmeye çalışılmıştır
Studying the effects of in-vehicle information systems on driver visual behaviour – implications for design
No full textIn-vehicle information systems (IVIS) are a common feature in modern vehicles. The interaction of drivers with IVIS when driving must be considered to minimise distraction whilst maintaining the benefits provided. This research investigates the glance behaviours of drivers, assessed from video data, when using two functions – a personal navigation device (study 1) and a green driving advisory device (study 2). The main focus was to establish the number of glances of 2 seconds or more to the IVIS and relate this to driver safety (as stipulated in new guidelines for use of IVIS proposed by NHTSA). In study 1, the percentage of eyes- off-road time for drivers was much greater in the experimental (with device) condition compared to the baseline condition (14.3% compared to 6.7%) but, whilst glances to the personal navigation device accounted for the majority of the increase, there were very few which exceeded 2 seconds. Drivers in study 2 spent on average 4.3% of their time looking at the system, at an average of 0.43 seconds per glance; no glances exceeded 2 seconds. The research showed that ordinary use of IVIS (excluding manual interaction) does not lead to driver visual distraction and therefore the impact on safety is minimal. The results of the study have important design implications for future in-vehicle information systems
Driver statistics report, statewide overall detailed
No full textThis archived document is maintained by the Oregon State Library as part of the Oregon Documents Depository Program. It is for informational purposes and may not be suitable for legal purposes.Title from PDF caption (viewed on January 2, 2014)Mode of access: Internet from the Oregon Government Publications Collection
Advanced driver assistance systems from autonomous to cooperative approach
No full textAdvanced Driver Assistance Systems (ADAS) have been one of the most active areas of ITS studies in the last two decades. ADAS aim to support drivers by either providing warning to reduce risk exposures, or automating some of the control tasks to relieve a driver from manual control of a vehicle. ADAS functions can be achieved through an autonomous approach with all instrumentation and intelligence on board the vehicle, or through a cooperative approach, where assistance is provided from roadways and/or from other vehicles. In this article, recent research and developments of longitudinal control assistance systems are reviewed including adaptive cruise control, forward collision warning and avoidance, and platooning assistants. The review focuses on comparing between autonomous systems and cooperative systems in terms of technologies used, system impacts and implementation. The main objective is to achieve common understanding on ADAS functional potentials and limitations and to identify research needs for further studie
Driver and Motor Vehicle Services Field Services management basic organizational chart
No full textThis archived document is maintained by the Oregon State Library as part of the Oregon Documents Depository Program. It is for informational purposes and may not be suitable for legal purposes.Title from PDF caption (viewed on July 23, 2014)Mode of access: Internet from the Oregon Government Publications Collection.Text in Englis
The effectiveness of police driver training on attitudes, beliefs and skills
No full textThe research undertook an analysis of the effectiveness of police driver training in the
development of appropriate driver attitudes and skills in terms of the objectives of the
training. The research focused upon the Standard/Response course of the Essex
Police. Trainees attitudes and skill, levels were measured at the beginning and after
each phase of training. An assessment of the stability and longevity of attitudes and
skill levels was made 3-10 months after the training. In addition, the influence of
police driving instructors and police recruitment policy on the development of
attitudes was made. From the research, an evaluation has also been made of the
effectiveness of different methods of researching and measuring an individual's
attitude towards a particular behaviour, having used direct, semi-direct, and indirect
methods of attitude measurement
The waste remains
No full textThis is an essay about the work of Jeannie Driver specifically about the relationship between her sculptural forms and the material from which they are made: shredded paper. In it the author relates this gallery-based output to works produced formerly by Driver in artist residencies
Mnemosyne: Privacy-Preserving Ride Matching With Collusion-Resistant Driver Exclusion
No full textRide-Hailing Service (RHS) has drawn plenty of attention as it provides transportation convenience for riders and financial incentives for drivers. Despite these benefits, riders risk the exposure of sensitive location data during ride requesting to an untrusted Ride-Hailing Service Provider (RHSP). Our motivation arises from repetitive matching, i.e., the same driver is repetitively assigned to the same rider. Meanwhile, we introduce a driver exclusion function to protect riders' location privacy. Existing work on privacy-preserving RHS overlooks this function. While Secure k Nearest Neighbor (SkNN) facilitates efficient matching, the state-of-the-art neglects a collusion attack. To solve this problem, we formally define repetitive matching and strong location privacy, and propose Mnemosyne: privacy-preserving ride matching with collusion-resistant driver exclusion. We extend the simple integration of equality checking and item exclusion to a dynamic integration. We concatenate each prefix of an acceptable identity range to each location code when generating a ride request, i.e., secure mix index. We process each prefix of the driver identity to generate a ride response, i.e., a mix token. We build an indistinguishable Bloom-filter as an index to query the token. When matching riders with drivers, the colluding parties cannot distinguish identity prefixes from location codes. We build a prototype of Mnemosyne based on servers, smartphones, and a real-world dataset. Experimental results demonstrate that Mnemosyne outperforms existing work regarding strong location privacy and computational costs.Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Cyber Securit
Towards a real-time driver workload estimator: An on-the-road study
No full textDriver distraction is a leading cause of crashes. The introduction of in-vehicle technology in the last decades has added support to the driving task. However, in-vehicle technologies and handheld electronic devices may also be a threat to driver safety due to information overload and distraction. Adaptive in-vehicle information systems may be a solution to this problem. Adaptive systems could aid the driver in obtaining information from the device (by reducing information density) or prevent distraction by not presenting or delaying information when the driver’s workload is high. In this paper, we describe an on-the-road evaluation of a real-time driver workload estimator that makes use of geo-specific information. The results demonstrate the relative validity of our experimental methods and show the potential for using location-based adaptive in-vehicle systems.Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Biomechatronics & Human-Machine ControlOLD Intelligent Vehicles & Cognitive Robotic
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