Raman scattering of atoms from a quasi-condensate in a perturbative regime

It is demonstrated that measurements of positions of atoms scattered from a quasi-condensate in a Raman process provide information on the temperature of the parent cloud. In particular, the widths of the density and second order correlation functions are sensitive to the phase fluctuations induced by non-zero temperature of the quasi-condensate. It is also shown how these widths evolve during expansion of the cloud of scattered atoms. These results are useful for planning future Raman scattering experiments and indicate the degree of spatial resolution of atom-position measurements necessary to detect the temperature dependence of the quasi-condensate.Comment: 8 pages, 8 figure

Application of neural network observer for on-line estimation of salient-pole synchronous generators' dynamic parameters using the operating data

Parameter identification is critical for modern control strategies in electrical power systems which is considered both dynamic performance and energy efficiency. This paper presents a novel application of ANN observers in estimating and tracking Salient-Pole Synchronous Generator Dynamic Parameters using time-domain, on-line disturbance measurements. The data for training ANN Observers are obtained through off-line simulations of a salient-pole synchronous generator operating in a one-machine-infinite-bus environment. The Levenberg-Marquardt algorithm has been adopted and assimilated into the back-propagation learning algorithm for training feed-forward neural networks. The inputs of ANNs are organized in conformity with the results of the observability analysis of synchronous generator dynamic parameters in its dynamic behavior. A collection of ANNs with same inputs but different outputs are developed to determine a set of the dynamic parameters. The ANNs are employed to estimate the dynamic parameters by the measurements which are carried out within each kind of fault separately. The trained ANNs are tested with on-line measurements to identify the dynamic parameters. Simulation studies indicate the ANN observer has a great ability to identify the dynamic parameters of salient-pole synchronous generator. The results also show that the tests which have given better results in estimation of each dynamic parameter can be obtained

Tradeoffs for number-squeezing in collisions of Bose-Einstein condensates

We investigate the factors that influence the usefulness of supersonic collisions of Bose-Einstein condensates as a potential source of entangled atomic pairs by analyzing the reduction of the number difference fluctuations between regions of opposite momenta. We show that non-monochromaticity of the mother clouds is typically the leading limitation on number squeezing, and that the squeezing becomes less robust to this effect as the density of pairs grows. We develop a simple model that explains the relationship between density correlations and the number squeezing, allows one to estimate the squeezing from properties of the correlation peaks, and shows how the multi-mode nature of the scattering must be taken into account to understand the behavior of the pairing. We analyze the impact of the Bose enhancement on the number squeezing, by introducing a simplified low-gain model. We conclude that as far as squeezing is concerned the preferable configuration occurs when atoms are scattered not uniformly but rather into two well separated regions.Comment: 13 pages, 13 figures, final versio

The Training, Appointment, and Supervision of Islamic Judges in Malaysia

Shari‛a court judges and the decisions they make clearly have an effect on the interpretation and application of Islamic law in contemporary Muslim societies, and the educational background of those who staff these courts obviously informs the way they understand, interpret, and apply the law. To date, however, little research has been done on the educational processes by which judges who serve on Islamic courts are trained to think about Islamic law. Likewise, the means by which Islamic court judges are appointed and regulated has received little scholarly attention. This article offers a descriptive overview of the training, work, and professional regulation of Shari‛a (or “Syariah”) court judges in contemporary Malaysia, presented in a clear format structured to highlight key aspects of how these judges are trained, accredited, and organized. In doing so, this article not only presents new empirical data on an increasingly important class of legal professionals, but also facilitates comparative reflections on their work in relation to that of their colleagues practicing before Shari‛a courts in the neighboring countries of Indonesia and Singapore

Malaysian experience with Public Private Partnerships (PPP) – managing unsolicited proposals

Purpose – Lack of competition in procurement processes may affect the sustainable procurement due to overpriced and low quality infrastructure. The purpose of this paper is to investigate the current practices of Malaysia in handling unsolicited proposal within PPP and to suggest ways in which the practices can be improved to achieve sustainability. Design/methodology/approach – Case study on Unit Kerjasama Awam Swasta (UKAS) was conducted within which 13 semi-structured interviews were carried out with different groups: the policymakers, the practitioners and the experts. The study also scrutinised published guidelines and relevant regulations used by UKAS for unsolicited proposal. Findings –UKAS welcomes unsolicited proposal from the private sector, even though it does not publish any established mechanisms to handle such proposals. Lack of competition in unsolicited proposal is a major concern in achieving sustainable goals of procurement. This could be addressed by introducing a competitive element to unsolicited proposal, Originality/value – There is limited study and reports on the implementation of unsolicited proposal by the Malaysian Government. Besides adding to the literature, this paper reveals the actual practices of UKAS in managing unsolicited proposal. Most importantly, it is useful in assisting potential Malaysian PPP stakeholders and investors in what to expect, based on findings from the actual practice

Integrated waveguide and nanostructured sensor platform for surface-enhanced Raman spectroscopy

Limitations of current sensors include large dimensions, sometimes limited sensitivity and inherent single-parameter measurement capability. Surface-enhanced Raman spectroscopy can be utilized for environment and pharmaceutical applications with the intensity of the Raman scattering enhanced by a factor of 106. By fabricating and characterizing an integrated optical waveguide beneath a nanostructured precious metal coated surface a new surface-enhanced Raman spectroscopy sensing arrangement can be achieved. Nanostructured sensors can provide both multiparameter and high-resolution sensing. Using the slab waveguide core to interrogate the nanostructures at the base allows for the emission to reach discrete sensing areas effectively and should provide ideal parameters for maximum Raman interactions. Thin slab waveguide films of silicon oxynitride were etched and gold coated to create localized nanostructured sensing areas of various pitch, diameter, and shape. These were interrogated using a Ti:Sapphire laser tuned to 785-nm end coupled into the slab waveguide. The nanostructured sensors vertically projected a Raman signal, which was used to actively detect a thin layer of benzyl mercaptan attached to the sensors

A fine grained heuristic to capture web navigation patterns

In previous work we have proposed a statistical model to capture the user behaviour when browsing the web. The user navigation information obtained from web logs is modelled as a hypertext probabilistic grammar (HPG) which is within the class of regular probabilistic grammars. The set of highest probability strings generated by the grammar corresponds to the user preferred navigation trails. We have previously conducted experiments with a Breadth-First Search algorithm (BFS) to perform the exhaustive computation of all the strings with probability above a specified cut-point, which we call the rules. Although the algorithm’s running time varies linearly with the number of grammar states, it has the drawbacks of returning a large number of rules when the cut-point is small and a small set of very short rules when the cut-point is high. In this work, we present a new heuristic that implements an iterative deepening search wherein the set of rules is incrementally augmented by first exploring trails with high probability. A stopping parameter is provided which measures the distance between the current rule-set and its corresponding maximal set obtained by the BFS algorithm. When the stopping parameter takes the value zero the heuristic corresponds to the BFS algorithm and as the parameter takes values closer to one the number of rules obtained decreases accordingly. Experiments were conducted with both real and synthetic data and the results show that for a given cut-point the number of rules induced increases smoothly with the decrease of the stopping criterion. Therefore, by setting the value of the stopping criterion the analyst can determine the number and quality of rules to be induced; the quality of a rule is measured by both its length and probability