Management of Traffic Control — A Computer Oriented Approach

Traffic Management system (TMS) comprises four major sub systems: The Network Database Management system for information to the passengers, Transit Facility Management System for service, planning, and scheduling vehicle and crews, Congestion Management System for traffic forecasting and planning, Safety Management System concerned with safety aspects of passengers and Environment. This work has opened a rather wide frame work of model structures for application on traffic. The facets of these theories are so wide that it seems impossible to present all necessary models in this work. However it could be deduced from the study that the best Traffic Management System is that whichis realistic in all aspects is easy to understand is easy to apply As it is practically difficult to device an ideal fool—proof model, the attempt here has been to make some progress-in that direction.

Channel Adaptive MAC Protocol with Traffic-Aware Distributed Power Management in Wireless Sensor Networks-Some Performance Issues

In Wireless Sensor Networks (WSN), neglecting the effects of varying channel quality can lead to an unnecessary wastage of precious battery resources and in turn can result in the rapid depletion of sensor energy and the partitioning of the network. Fairness is a critical issue when accessing a shared wireless channel and fair scheduling must be employed to provide the proper flow of information in a WSN. In this paper, we develop a channel adaptive MAC protocol with a traffic-aware dynamic power management algorithm for efficient packet scheduling and queuing in a sensor network, with time varying characteristics of the wireless channel also taken into consideration. The proposed protocol calculates a combined weight value based on the channel state and link quality. Then transmission is allowed only for those nodes with weights greater than a minimum quality threshold and nodes attempting to access the wireless medium with a low weight will be allowed to transmit only when their weight becomes high. This results in many poor quality nodes being deprived of transmission for a considerable amount of time. To avoid the buffer overflow and to achieve fairness for the poor quality nodes, we design a Load prediction algorithm. We also design a traffic aware dynamic power management scheme to minimize the energy consumption by continuously turning off the radio interface of all the unnecessary nodes that are not included in the routing path. By Simulation results, we show that our proposed protocol achieves a higher throughput and fairness besides reducing the delay

Magnetic field-induced cluster formation and variation of magneto-optical signals in zinc-substituted ferrofluids

Fine magnetic particles (sizeffi100A ˚ ) belonging to the series ZnxFe1 xFe2O4 were synthesized by cold co-precipitation methods and their structural properties were evaluated using X-ray diffraction. Magnetization studies have been carried out using vibrating sample magnetometry (VSM) showing near-zero loss loop characteristics. Ferrofluids were then prepared employing these fine magnetic powders using oleic acid as surfactant and kerosene as carrier liquid by modifying the usually reported synthesis technique in order to induce anisotropy and enhance the magneto-optical signals. Liquid thin films of these fluids were prepared and field-induced laser transmission through these films was studied. The transmitted light intensity decreases at the centre with applied magnetic field in a linear fashion when subjected to low magnetic fields and saturate at higher fields. This is in accordance with the saturation in cluster formation. The pattern exhibited by these films in the presence of different magnetic fields was observed with the help of a CCD camera and was recorded photographically

Quadratic Predictor based Differential Encoding and Decoding of Speech Signals

Modeling nonlinear systems using Volterra series is a century old method but practical realizations were hampered by inadequate hardware to handle the increased computational complexity stemming from its use. But interest is renewed recently, in designing and implementing filters which can model much of the polynomial nonlinearities inherent in practical systems. The key advantage in resorting to Volterra power series for this purpose is that nonlinear filters so designed can be made to work in parallel with the existing LTI systems, yielding improved performance. This paper describes the inclusion of a quadratic predictor (with nonlinearity order 2) with a linear predictor in an analog source coding system. Analog coding schemes generally ignore the source generation mechanisms but focuses on high fidelity reconstruction at the receiver. The widely used method of differential pnlse code modulation (DPCM) for speech transmission uses a linear predictor to estimate the next possible value of the input speech signal. But this linear system do not account for the inherent nonlinearities in speech signals arising out of multiple reflections in the vocal tract. So a quadratic predictor is designed and implemented in parallel with the linear predictor to yield improved mean square error performance. The augmented speech coder is tested on speech signals transmitted over an additive white gaussian noise (AWGN) channel.

A Hybrid Architecture for Recognising Speech Signals in Malayalam

Speech is the primary, most prominent and convenient means of communication in audible language. Through speech, people can express their thoughts, feelings or perceptions by the articulation of words. Human speech is a complex signal which is non stationary in nature. It consists of immensely rich information about the words spoken, accent, attitude of the speaker, expression, intention, sex, emotion as well as style. The main objective of Automatic Speech Recognition (ASR) is to identify whatever people speak by means of computer algorithms. This enables people to communicate with a computer in a natural spoken language. Automatic recognition of speech by machines has been one of the most exciting, significant and challenging areas of research in the field of signal processing over the past five to six decades. Despite the developments and intensive research done in this area, the performance of ASR is still lower than that of speech recognition by humans and is yet to achieve a completely reliable performance level. The main objective of this thesis is to develop an efficient speech recognition system for recognising speaker independent isolated words in Malayalam.

Untersuchungen zu Controlled Traffic Farming und satellitenbasierten Lenksystemen

Diese Arbeit behandelt Controlled Traffic Farming (CTF) Anbausysteme, bei denen für alle Arbeitsgänge satellitengesteuert immer dieselben Fahrspuren benutzt werden. Lässt sich mit CTF die Belastung des Bodens verringern und die Effizienz von Direktsaat-Anbausystemen steigern? Neben agronomischen und bodenphysikalischen Parametern wurden Auswirkungen von Lenksystemen und Umsetzungsmöglichkeiten von CTF in die Praxis untersucht. Die Analyse einer CTF-Umsetzung unter europäischen Bedingungen mit der Verwendung von Standardmaschinen zeigte, dass sich CTF-Anbausysteme mit den heute zur Verfügung stehenden Maschinen für Dauergrünland, Mähdruschfrüchte und Mais auf kleiner und grösser strukturierten Flächen relativ einfach mechanisieren lassen. Bei Zuckerrüben und Kartoffeln können Kompromisse notwendig sein. Generell erfordern CTF-Anbausysteme eine sorgfältige Planung und Umsetzung in die Praxis. Im dreijährigen Feldversuch (Winterweizen, Wintergerste, Kunstwiese mit Kleegrasmischung) auf einem Lehmboden wurde CTF-Direktsaat mit konventionell zufällig befahrenen Direktsaat- und Pflugverfahren verglichen. Unter CTF zeigte sich eine Differenzierung der nicht, gering und intensiv befahrenen Varianten. Auf dem vorliegenden kompakten Boden mit 1150 mm Jahresniederschlag waren die Unterschiede zwischen den nicht befahrenen Flächen und den mit niedrigem Kontaktflächendruck befahrenen Flächen eher gering. In den nicht befahrenen Flächen entwickelten Eindringwiderstand und Kohlendioxidgehalt der Bodenluft nach drei Jahren signifikant bessere Werte. Bodendichte und Porosität zeigten hingegen keinen eindeutig interpretierbaren Trend. Aufgrund teils suboptimaler Feldaufgänge liess sich keine generelle agronomische Tendenz ableiten. Die intensive Befahrung der Pflegefahrgassen zeigte allerdings klar negative bodenkundliche und planzenbauliche Auswirkungen. Es bietet sich daher an, vor allem für Pflegearbeiten permanent dieselben Fahrspuren zu nutzen. In der Untersuchung zu den Auswirkungen von Lenksystemen zeigten sich signifikante Vorteile von Lenksystemen in einer Verminderung der Fahrerbelastung und einer höheren Lenkgenauigkeit vor allem bei grossen Arbeitsbreiten ohne Spuranreisser. Die meisten anderen Messparameter waren mit Lenksystem leicht vorteilhafter als ohne, unterschieden sich aber nicht signifikant voneinander. Fahrer und naturräumliche Gegebenheiten wie die Schlagform hatten einen wesentlich grösseren Einfluss. Gesamthaft betrachtet erweitert CTF in Kombination mit weiteren Bodenschutzmass-nahmen die Möglichkeiten, Bodenverdichtungen zu vermeiden, den Bedarf an energieintensiver Bodenlocke-rung zu reduzieren und die Entwicklung einer stabileren Bodenstruktur mit höherer Tragfähigkeit zu fördern. Zusammen mit einer an Kultur und Anbausystem angepassten Saatbettbereitung und den in geraden Reihen einfacher durchführbaren mechanischen Pflegemassnahmen ergeben sich gute Voraussetzungen für die Gestaltung agronomisch leistungsfähiger und ökologisch nachhaltiger Anbausysteme.

Sparse Representations of Multiple Signals

We discuss the problem of finding sparse representations of a class of signals. We formalize the problem and prove it is NP-complete both in the case of a single signal and that of multiple ones. Next we develop a simple approximation method to the problem and we show experimental results using artificially generated signals. Furthermore,we use our approximation method to find sparse representations of classes of real signals, specifically of images of pedestrians. We discuss the relation between our formulation of the sparsity problem and the problem of finding representations of objects that are compact and appropriate for detection and classification.

Slow and Smooth: A Bayesian Theory for the Combination of Local Motion Signals in Human Vision

In order to estimate the motion of an object, the visual system needs to combine multiple local measurements, each of which carries some degree of ambiguity. We present a model of motion perception whereby measurements from different image regions are combined according to a Bayesian estimator --- the estimated motion maximizes the posterior probability assuming a prior favoring slow and smooth velocities. In reviewing a large number of previously published phenomena we find that the Bayesian estimator predicts a wide range of psychophysical results. This suggests that the seemingly complex set of illusions arise from a single computational strategy that is optimal under reasonable assumptions.

Resource dimensioning aspect of heterogeneous traffic with different service requirements: Integration versus segregation

In this paper, we consider the ATM networks in which the virtual path concept is implemented. The question of how to multiplex two or more diverse traffic classes while providing different quality of service requirements is a very complicated open problem. Two distinct options are available: integration and segregation. In an integration approach all the traffic from different connections are multiplexed onto one VP. This implies that the most restrictive QOS requirements must be applied to all services. Therefore, link utilization will be decreased because unnecessarily stringent QOS is provided to all connections. With the segregation approach the problem can be much simplified if different types of traffic are separated by assigning a VP with dedicated resources (buffers and links). Therefore, resources may not be efficiently utilized because no sharing of bandwidth can take place across the VP. The probability that the bandwidth required by the accepted connections exceeds the capacity of the link is evaluated with the probability of congestion (PC). Since the PC can be expressed as the CLP, we shall simply carry out bandwidth allocation using the PC. We first focus on the influence of some parameters (CLP, bit rate and burstiness) on the capacity required by a VP supporting a single traffic class using the new convolution approach. Numerical results are presented both to compare the required capacity and to observe which conditions under each approach are preferred

Optimal Traffic Grooming in WDM using Lighttours

Recent developments in optical communications have allowed simpler optical devices to improve network resource utilization. As such, we propose adding a lambda-monitoring device to a wavelength-routing switch (WRS) allowing better performance when traffic is routed and groomed. This device may allow a WRS to aggregate traffic over optical routes without incurring in optical-electrical-optical conversion for the existing traffic. In other words, optical routes can be taken partially to route demands creating a sort of "lighttours". In this paper, we compare the number of OEO conversions needed to route a complete given traffic matrix using either lighttours or lightpaths

A new approach to real time traffic sign recognition based on colour information

The automatic interpretation of conventional traffic signs is very complex and time consuming. The paper concerns an automatic warning system for driving assistance. It does not interpret the standard traffic signs on the roadside; the proposal is to incorporate into the existing signs another type of traffic sign whose information will be more easily interpreted by a processor. The type of information to be added is profuse and therefore the most important object is the robustness of the system. The basic proposal of this new philosophy is that the co-pilot system for automatic warning and driving assistance can interpret with greater ease the information contained in the new sign, whilst the human driver only has to interpret the "classic" sign. One of the codings that has been tested with good results and which seems to us easy to implement is that which has a rectangular shape and 4 vertical bars of different colours. The size of these signs is equivalent to the size of the conventional signs (approximately 0.4 m2). The colour information from the sign can be easily interpreted by the proposed processor and the interpretation is much easier and quicker than the information shown by the pictographs of the classic signs

G+: Enhanced Traffic Grooming in WDM Mesh Networks using Lighttours

In this article, a new technique for grooming low-speed traffic demands into high-speed optical routes is proposed. This enhancement allows a transparent wavelength-routing switch (WRS) to aggregate traffic en route over existing optical routes without incurring expensive optical-electrical-optical (OEO) conversions. This implies that: a) an optical route may be considered as having more than one ingress node (all inline) and, b) traffic demands can partially use optical routes to reach their destination. The proposed optical routes are named "lighttours" since the traffic originating from different sources can be forwarded together in a single optical route, i.e., as taking a "tour" over different sources towards the same destination. The possibility of creating lighttours is the consequence of a novel WRS architecture proposed in this article, named "enhanced grooming" (G+). The ability to groom more traffic in the middle of a lighttour is achieved with the support of a simple optical device named lambda-monitor (previously introduced in the RingO project). In this article, we present the new WRS architecture and its advantages. To compare the advantages of lighttours with respect to classical lightpaths, an integer linear programming (ILP) model is proposed for the well-known multilayer problem: traffic grooming, routing and wavelength assignment The ILP model may be used for several objectives. However, this article focuses on two objectives: maximizing the network throughput, and minimizing the number of optical-electro-optical conversions used. Experiments show that G+ can route all the traffic using only half of the total OEO conversions needed by classical grooming. An heuristic is also proposed, aiming at achieving near optimal results in polynomial time

Traffic.

A través de la película de Steven Soderbergh se ofrecen propuestas educativas de experiencia, reflexión y acción común para ser realizadas en el aula. Además de la ficha técnica y el argumento, se presenta un conjunto de actividades relacionadas con la película. Se ofrecen una serie de cuestiones o preguntas en las cuales se indaga sobre aspectos relacionados con la droga, el blanqueo de dinero y los paraisos fiscales.

Bumper to Bumper : a traffic jam.

Básicamente se trata de la historia de un embotellamiento. Muestra más de treinta vehículos diferentes y de sus conductores y pasajeros atrapados en un gigantesco atasco. Al final se ve la causa de la congestión. Los modos de transporte se identifican claramente a través del texto en negrita. El libro muestra señales del mundo moderno a través de imágenes, como un hombre hablando por su teléfono móvil. Los niños pueden descubrir y comentar la gran variedad de emociones mostradas por la gente a través de la expresiones faciales, los movimientos, y las actividades.

An EHEA stuck in traffic. 'Un EEES atascado en el tráfico'.

Monográfico con el título: 'El Espacio Europeo de Educación Superior ¿Hacia dónde va la Universidad Europea?'. Resumen basado en el de la publicación