5,743 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
Fuzzy Evolutionary Approaches for Bus and Rail Driver Scheduling
No full textBus and train driver scheduling is a process of partitioning blocks of work, each of which is serviced by one vehicle, into a set of legal driver shifts. The main objectives are to minimise the total number of shifts and the total shift cost. Restrictions imposed by logistic, legal and union agreements make the problem more complicated.
The generate-and-select approach is widely used. A large set of feasible shifts is generated first, and then a subset is selected, from the large set, to form a final schedule by the mathematical programming method. In the subset selection phase, computational difficulties exist because of the NP-hard nature of this combinatorial optimisation problem. This thesis presents two evolutionary algorithms, namely a Genetic Algorithm and a Simulated Evolution algorithm, attempting to model and solve the driver scheduling problem in new ways.
At the heart of both algorithms is a function for evaluating potential driver shifts under fuzzified criteria. A Genetic Algorithm is first employed to calibrate the weight distribution among fuzzy membership functions. A Simulated Evolution algorithm then mimics generations of evolution on the single schedule produced by the Genetic Algorithm. In each generation an unfit portion of the working schedule is removed. The broken schedule is then reconstructed by means of a greedy algorithm, using the weight distribution derived by the Genetic Algorithm. The basic Simulated Evolution algorithm is a greedy search strategy that achieves improvement through iterative perturbation and reconstruction. This approach has achieved success in solving driver scheduling problems from different companies, with comparable results to the previously best known solutions.
Finally, the Simulated Evolution algorithm for driver scheduling has been generalized for the set covering problem, without using any special domain knowledge. This shows that this research is valuable to many applications that can be formulated as set covering models. Furthermore, Taguchi's orthogonal experimental design method has been used for the parameter settings. Computational results have shown that for large-scale problems, in general the proposed approach can produce superior solutions much faster than some existing approaches. This approach is particularly suitable for situations where quick and high-quality solutions are desirable
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
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
An observational study of driver distraction in England.
No full textThis study set out to investigate the proportion of UK drivers who engage in some form of distracting behaviour whilst driving. Data were collected by roadside observation in six urban centres in the South of England. The observations took place on randomly selected roads at three different time periods during two consecutive Tuesdays. The data revealed that 14.4% of the 7168 drivers observed were found to be engaged in a distracting activity. The most frequently observed distraction was talking to a passenger, followed by smoking and using a mobile phone. Younger drivers were significantly more likely to be distracted in general and by talking to passengers, while older drivers were less likely to be distracted by adjusting controls or using a mobile phone
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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