Real time video segmentation for recognising paint marks on bad wooden railway sleepers

Wooden railway sleeper inspections in Sweden are currently performed manually by a human operator; such inspections are based on visual analysis. Machine vision based approach has been done to emulate the visual abilities of human operator to enable automation of the process. Through this process bad sleepers are identified, and a spot is marked on it with specific color (blue in the current case) on the rail so that the maintenance operators are able to identify the spot and replace the sleeper. The motive of this thesis is to help the operators to identify those sleepers which are marked by color (spots), using an “Intelligent Vehicle” which is capable of running on the track. Capturing video while running on the track and segmenting the object of interest (spot) through this vehicle; we can automate this work and minimize the human intuitions. The video acquisition process depends on camera position and source light to obtain fine brightness in acquisition, we have tested 4 different types of combinations (camera position and source light) here to record the video and test the validity of proposed method. A sequence of real time rail frames are extracted from these videos and further processing (depending upon the data acquisition process) is done to identify the spots. After identification of spot each frame is divided in to 9 regions to know the particular region where the spot lies to avoid overlapping with noise, and so on. The proposed method will generate the information regarding in which region the spot lies, based on nine regions in each frame. From the generated results we have made some classification regarding data collection techniques, efficiency, time and speed. In this report, extensive experiments using image sequences from particular camera are reported and the experiments were done using intelligent vehicle as well as test vehicle and the results shows that we have achieved 95% success in identifying the spots when we use video as it is, in other method were we can skip some frames in pre-processing to increase the speed of video but the segmentation results we reduced to 85% and the time was very less compared to previous one. This shows the validity of proposed method in identification of spots lying on wooden railway sleepers where we can compromise between time and efficiency to get the desired result.

Too Many Bad Cooks Spoiling the Broth? Effectiveness of NGOs in Addressing Child Labour in El Salvador

The reaction of the first world to the persevering plight of a large part of the third world varies. In response to the sometimes glaring disparities, many international organizations and multinational corporations have recently adopted a pro-development rhetoric with relation to the problem of global poverty. However, the rhetoric rarely translates into action. As David Bacon discusses, leaders of corporations and organizations now tend to conclude their speeches by expressing a desire to reduce the suffering of the third world. However, when it comes to agreeing on specific concessions that could indeed improve the world-wide economic situation, first world countries are reluctant to act. A good example of this type of behavior is the current negotiation of the WTO, the “development round of Doha,” in which the United States along with the European Union pressure countries of the developing South to open up their markets, while at the same time refusing to remove or even decrease their own agricultural subsidies. The first world civil society observes the behavior of international organizations and western based multinational corporations as ineffectual. Taking the matter in its own hands, especially in the past couple of decades, this civil society has created a countless number of development-oriented nongovernmental organizations. These are supposed to compensate for the lack of action by international organizations. Development NGOs are believed to be more locally responsive as well as free of business or political considerations in choosing their strategies, and thus generally more efficient than IOs. However, if they really were how they are alleged to be, the problems of the third world would already be ameliorated by a significant amount, if not completely eradicated. Do development-NGOs indeed possess the characteristics that they claim to possess? What is their real affect on human rights? And how effective are they in their work?

Hamiltonian constraint analysis of vector field theories with spontaneous Lorentz symmetry breaking

Recent investigations of various quantum-gravity theories have revealed a variety of possible mechanisms that lead to Lorentz violation. One of the more elegant of these mechanisms is known as Spontaneous Lorentz Symmetry Breaking (SLSB), where a vector or tensor field acquires a nonzero vacuum expectation value. As a consequence of this symmetry breaking, massless Nambu-Goldstone modes appear with properties similar to the photon in Electromagnetism. This thesis considers the most general class of vector field theories that exhibit spontaneous Lorentz violation-known as bumblebee models-and examines their candidacy as potential alternative explanations of E&M, offering the possibility that Einstein-Maxwell theory could emerge as a result of SLSB rather than of local U(1) gauge invariance. With this aim we employ Dirac's Hamiltonian Constraint Analysis procedure to examine the constraint structures and degrees of freedom inherent in three candidate bumblebee models, each with a different potential function, and compare these results to those of Electromagnetism. We find that none of these models share similar constraint structures to that of E&M, and that the number of degrees of freedom for each model exceeds that of Electromagnetism by at least two, pointing to the potential existence of massive modes or propagating ghost modes in the bumblebee theories.