Spin Polarized Asymmetric Nuclear Matter and Neutron Star Matter Within the Lowest Order Constrained Variational Method

In this paper, we calculate properties of the spin polarized asymmetrical nuclear matter and neutron star matter, using the lowest order constrained variational (LOCV) method with the $AV_{18}$, $Reid93$, $UV_{14}$ and $AV_{14}$ potentials. According to our results, the spontaneous phase transition to a ferromagnetic state in the asymmetrical nuclear matter as well as neutron star matter do not occur.Comment: 21 pages, 11 figure

LOCV calculation of the equation of state and properties of rapidly rotating neutron stars

In this paper, we have investigated the structural properties of rotating neutron stars using the numerical RNS code and the equation of states which have been calculated within the lowest order constrained variational approach. In order to calculate the equation of state of nuclear matter, we have used UV$_{14}$ $+$TNI and AV$_{18}$ potentials. Here, we have computed the maximum mass of the neutron star and the corresponding equatorial radius at different angular velocity. We have also computed the structural properties of Keplerian rotating neutron star for maximum mass configuration, $M_{K}$, $R_{K}$, $f_{K}$ and $j_{max}$.Comment: 7 pages, 7 figure

Lowest Order Constrained Variational Calculation of the Polarized Nuclear Matter with the Modern AV18AV_{18} Potential

The lowest order constrained variational method is applied to calculate the polarized symmetrical nuclear matter properties with the modern $AV_{18}$ potential performing microscopic calculations. Results based on the consideration of magnetic properties show no sign of phase transition to a ferromagnetic phase.Comment: 19 pages, 6 figure

Tracking with Multiple Cameras for Video Surveillance

The large shape variability and partial occlusions challenge most object detection and tracking methods for nonrigid targets such as pedestrians. Single camera tracking is limited in the scope of its applications because of the limited field of view (FOV) of a camera. This initiates the need for a multiple-camera system for completely monitoring and tracking a target, especially in the presence of occlusion. When the object is viewed with multiple cameras, there is a fair chance that it is not occluded simultaneously in all the cameras. In this paper, we developed a method for the fusion of tracks obtained from two cameras placed at two different positions. First, the object to be tracked is identified on the basis of shape information measured by MPEG-7 ART shape descriptor. After this, single camera tracking is performed by the unscented Kalman filter approach and finally the tracks from the two cameras are fused. A sensor network model is proposed to deal with the situations in which the target moves out of the field of view of a camera and reenters after sometime. Experimental results obtained demonstrate the effectiveness of our proposed scheme for tracking objects under occlusion

“OASIS-F”: development of a fuzzy online assessment system

A web-based tutorial and examination system has been developed in the Department of Electrical and Electronic Engineering at The University of Auckland. OASIS is an Online ASsessment and Information System. OASIS comprises an extensive question database and server-side program that delivers questions to students, marks their responses and records students’ activities and performance. In OASIS skills are developed by solving practical problems, which are all marked to give instant feedback. The students can practice on these problems from any web browser at any location on or off campus. Using OASIS does not require any special application software since all of the processing is done on the web server. Since 2000 the emphasis has been on giving students core-competency and skills but in a further development of OASIS a ‘fuzzy’ marking scheme is being introduced to allow marking of ‘softer’ subject material where ‘crisp’ numerical answers are inappropriate. Thus it will be possible to assess a student’s ‘understanding’ of some topic. OASIS-fuzzy allows a consistent marking scheme for these situations by assessing the student’s ability to ‘see the wood for the trees’. In OASIS-fuzzy the system measures what is in effect the ‘centre of gravity’ of the student’s knowledge on a particular topic by assessing their ability to rank information about that topic in order of importance. This we believe to be a measure of their ‘understanding’ of the topic. This paper presents a brief description of the system, its structure and its features

Polarized Neutron Matter: A Lowest Order Constrained Variational Approach

In this paper, we calculate some of the polarized neutron matter properties, using the lowest order constrained variational method with the $AV_{18}$ potential and employing a microscopic point of view. A comparison is also made between our results and those of other many-body techniques.Comment: 23 pages, 8 figure

Efficient Blind-Spot Neural Network Architecture for Image Denoising

Image denoising is an essential tool in computational photography. Standard denoising techniques, which use deep neural networks at their core, require pairs of clean and noisy images for its training. If we do not possess the clean samples, we can use blind-spot neural network architectures, which estimate the pixel value based on the neighbouring pixels only. These networks thus allow training on noisy images directly, as they by-design avoid trivial solutions. Nowadays, the blind-spot is mostly achieved using shifted convolutions or serialization. We propose a novel fully convolutional network architecture that uses dilations to achieve the blind-spot property. Our network improves the performance over the prior work and achieves state-of-the-art results on established datasets

Technical Information Management in Khuzestan Water and Power Authority

This study attempted to investigate the process and barriers of flow of technical information in KWPA[1]. A survey method was used to collect the data. Interviews with some key persons were also conducted. The target population included both experts and technical managers, and the information output of technical departments. Descriptive statistics and Spearman's rank correlation coefficient were applied to analyze the data. Results showed that overall production and use of technical information are relatively satisfactory, and the respondents generally used the technical. Lack of a holistic view of information management and systematic access to information were major drawbacks. The authors suggest applying a holistic view for information management to systematize the production and use of information and reduce the costs