Application of artificial neural network techniques to low bit-rate speech coding

Research has been undertaken to investigate the use of artificial neural network (ANN) techniques to improve the performance of a low bit-rate vector transform coder. Considerable improvements in the perceptual quality of the coded speech have been obtained. New ANN-based methods for vector quantiser (VQ) design and for the adaptive updating of VQ codebook are introduced for use in speech coding applications.

Techniques and tools for parallelizing software

With the emergence of multicore and manycore processors, engineers must design and develop software in drastically new ways to benefit from the computational power of all cores. However, developing parallel software is much harder than sequential software because parallelism can't be abstracted away easily. Authors Hans Vandierendonck and Tom Mens provide an overview of technologies and tools to support developers in this complex and error-prone task. © 2012 IEEE.

Growth hormone (GH) responsiveness to GHRH in normal adults is not affected by short-term gonadal blockade

The effects of changes in circulating gonadal steroids on GH secretion elicited by GHRH challenge (1µg/kg) in normal adults volunteers (aged 18-24 years), were evaluated in 10 women and 10 men before and after gonadal blockade was achieved by a GnRH agonist (1500 µg/day by nasal spray for 40 days). To see if the effect of testosterone on GH secretion was dependent on its aromatization to estradiol (E), GHRH tests were performed in 7 normal men prior to administration of testosterone enanthate (250 mg im), 8 days after this treatment had began, and again after E receptor blockade with tamoxifen (30 mg for 2 days plus 10 mg on the third day 2 h before the GHRH test, po) administered 8 days after testosterone enanthate. The study of the functional status of the somatotropes at the time of GHRH testing was made according to our previous postulate. Short-term gonadal blockade did not affect the parameters of GH response to GHRH in neither women nor men. Thus, the functional blockade of the gonads may be advisable as an adjunct therapy in the treatment of hypothalamic GH deficiency during the prepubertal stage. In the other group of men, administration of testosterone enanthate significantly increased GHRH-elicited GH release, but this was reverted after E receptor blockade. Since the hypothalamic-somatotrope rhythm was altered by both these farmacological manipulations, it appears that testosterone acts on GH release mainly at the suprapituitary level, and that this action is secondary to its aromatization to E.

Laughter Induction Techniques Suitable for Generating Motion Capture Data of Laughter Associated Body Movements

Laughter is a frequently occurring social signal and an important part of human non-verbal communication. However it is often overlooked as a serious topic of scientific study. While the lack of research in this area is mostly due to laughter’s non-serious nature, it is also a particularly difficult social signal to produce on demand in a convincing manner; thus making it a difficult topic for study in laboratory settings. In this paper we provide some techniques and guidance for inducing both hilarious laughter and conversational laughter. These techniques were devised with the goal of capturing mo- tion information related to laughter while the person laughing was either standing or seated. Comments on the value of each of the techniques and general guidance as to the importance of atmosphere, environment and social setting are provided.

Subconjunctival versus peribulbar anesthesia in trabeculectomy:A prospective, randomized study

BACKGROUND AND OBJECTIVE: To compare the use of subconjunctival and peribulbar anesthesia for trabeculectomy. PATIENTS AND METHODS: Sixty patients undergoing trabeculectomy were prospectively randomized to receive either peribulbar or subconjunctival anesthesia. Peribulbar anesthesia consisted of a 3-ml inferior and a 1-ml superior injection of a 1:1 mixture of 2% mepivacaine, 0.75% bupivacaine, and hyaluronidase. Subconjunctival anesthesia consisted of a 1- to 2-ml injection of the same mixture without hyaluronidase in the superotemporal quadrant. Intraoperative pain, presence of eye movements, and complications during surgery were evaluated. RESULTS: The frequency and intensity of pain was statistically similar between the two groups. All episodes of pain (20% in the subconjunctival group and 6.6% in the peribulbar group) were rated as mild. Eye movement was more common in the subconjunctival group than in the peribulbar group, but it was controlled by verbal command and did not interfere with the procedure. No clinically significant complications occurred during surgery. CONCLUSION: Subconjunctival anesthesia is an effective alternative to peribulbar anesthesia for trabeculectomy.

Fault Diagnostics for Internal Combustion Engines – Current and Future Techniques

The adoption of each new level of automotive emissions legislation often requires the introduction of additional emissions reduction techniques or the development of existing emissions control systems. This, in turn, usually requires the implementation of new sensors and hardware which must subsequently be monitored by the on-board fault detection systems. The reliable detection and diagnosis of faults in these systems or sensors, which result in the tailpipe emissions rising above the progressively lower failure thresholds, provides enormous challenges for OBD engineers. This paper gives a review of the field of fault detection and diagnostics as used in the automotive industry. Previous work is discussed and particular emphasis is placed on the various strategies and techniques employed. Methodologies such as state estimation, parity equations and parameter estimation are explained with their application within a physical model diagnostic structure. The utilization of symptoms and residuals in the diagnostic process is also discussed. These traditional physical model based diagnostics are investigated in terms of their limitations. The requirements from the OBD legislation are also addressed. Additionally, novel diagnostic techniques, such as principal component analysis (PCA) are also presented as a potential method of achieving the monitoring requirements of current and future OBD legislation.

An Examination of Transformation Techniques to Investigate and Interpret Multivariate Geochemical Data Analysis: Tellus Case Study

This research aims to use the multivariate geochemical dataset, generated by the Tellus project, to investigate the appropriate use of transformation methods to maintain the integrity of geochemical data and inherent constrained behaviour in multivariate relationships. The widely used normal score transform is compared with the use of a stepwise conditional transform technique. The Tellus Project, managed by GSNI and funded by the Department of Enterprise Trade and Development and the EU’s Building Sustainable Prosperity Fund, involves the most comprehensive geological mapping project ever undertaken in Northern Ireland. Previous study has demonstrated spatial variability in the Tellus data but geostatistical analysis and interpretation of the datasets requires use of an appropriate methodology that reproduces the inherently complex multivariate relations. Previous investigation of the Tellus geochemical data has included use of Gaussian-based techniques. However, earth science variables are rarely Gaussian, hence transformation of data is integral to the approach. The multivariate geochemical dataset generated by the Tellus project provides an opportunity to investigate the appropriate use of transformation methods, as required for Gaussian-based geostatistical analysis. In particular, the stepwise conditional transform is investigated and developed for the geochemical datasets obtained as part of the Tellus project. The transform is applied to four variables in a bivariate nested fashion due to the limited availability of data. Simulation of these transformed variables is then carried out, along with a corresponding back transformation to original units. Results show that the stepwise transform is successful in reproducing both univariate statistics and the complex bivariate relations exhibited by the data. Greater fidelity to multivariate relationships will improve uncertainty models, which are required for consequent geological, environmental and economic inferences.

Avoidance Techniques: State Related Defences in International Antitrust Cases

Despite its economic significance, competition law still remains fragmented, lacking an international framework allowing for dispute settlement. This, together with the growing importance of non-free-market economies in world trade require us to re-consider and re-evaluate the possibilities of bringing an antitrust suit against a foreign state. If the level playing field on the global marketplace is to be achieved, the possibility of hiding behind the bulwark of state sovereignty should be minimised. States should not be free to act in an anti-competitive way, but at present the legal framework seems ill-equipped to handle such challenges.

This paper deals with the defences available in litigation concerning transnational anti-competitive agreements involving or implicating foreign states. Four important legal doctrines are analysed: non-justiciability (political question doctrine), state immunity, act of state doctrine and foreign state compulsion. The paper addresses also the general problem of applicability of competition laws to a foreign state as such. This is a tale about repetitive unsuccessful efforts to sue OPEC and recent attempts in the US to deal with export cartels of Chinese state-owned enterprises

Chemometric techniques in multivariate statistical modelling of process plant

The techniques of principal component analysis (PCA) and partial least squares (PLS) are introduced from the point of view of providing a multivariate statistical method for modelling process plants. The advantages and limitations of PCA and PLS are discussed from the perspective of the type of data and problems that might be encountered in this application area. These concepts are exemplified by two case studies dealing first with data from a continuous stirred tank reactor (CSTR) simulation and second a literature source describing a low-density polyethylene (LDPE) reactor simulation.