Emotion Recognition from Speech using GMM and VQ

In this paper, there is a tendency to study the effectiveness of anchor models applied to the multiclass drawback of Emotion recognition from speech. Within the anchor models system, Associate in nursing emotion category is characterized by its line of similarity relative to different emotion categories. Generative models like Gaussian Mixture Models (GMMs) are typically used as front-end systems to get feature vectors wont to train complicated back-end systems like support vector machines (SVMs) or a multilayer perceptron (MLP) to enhance the classification performance. There is a tendency to show that within the context of extremely unbalanced knowledge categories, these back-end systems will improve the performance achieved by GMMs as long as Associate in nursing acceptable sampling or importance coefficient technique is applied. The experiments conducted on audio sample of speech; show that anchor models improve considerably the performance of GMMs by half dozen.2 % relative. There is a tendency to be employing a hybrid approach for recognizing emotion from speech that may be a combination of Vector quantization (VQ) and mathematician Mixture Models (GMM). A quick review of labor applied within the space of recognition victimization VQ-GMM hybrid approach is mentioned here. DOI: 10.17762/ijritcc2321-8169.15082

Clinical and ultrasonological features of adenomyosis and its histopathological correlation

Background: Adenomyosis is a common gynaecological condition that affects the menstruating women. Uterine enlargement, dysmenorrhoea and HMB are regarded as the cardinal clinical symptoms of adenomyosis. Classically it was thought, compared with ultrasonography, when adenomyosis is suspected, MRI enables more accurate diagnosis of the disease.Methods: 78 subjects were enrolled after an informed consent that had complaints of HMB, Dysparenuia, dysmenorrhea, and chronic pelvic pain. Detailed history of the enrolled subjects was taken, followed by a clinical examination. These patients were then subjected to TVS where myometrial echo texture, presence of myometrial cysts, blurring of endomyometrial junction was noted. After hysterectomy, histopathological diagnosis was obtained.Results: 78 subjects enrolled in the study. The mean age was 44.2 years. 43.5% had parity of 4 or more. HMB was present in 97.8% and dysmenorrhea in 93.48 % of HPE positive patient. Transvaginal sonography had a sensitivity of 89.13%, specificity of 90.62%, positive likelihood ratio of 9.51, negative likelihood ratio of 0.12, positive predictive value of 93.18%, negative predictive value of 85.29% and a diagnostic accuracy of 89.74%.Conclusions: Thus adenomyosis has a prevalence of 30.23%. HMB with dysmenorrhoea and chronic pelvic pain helps in diagnosis. TVS is both sensitive and specific in diagnosing adenomyosis without need for additional diagnostic tool. Endomyometrial junction blurring is the sensitive and specific criteria on TVS

To Study the Level of Stress among Management Trainees

Abstract Stress is experienced in organizational roles as problems are encountered in performance of the role. The Nature of Stress can be investigated by number of Attributes. There is always a difference in a way of living, of man and woman. Naturally, this also concludes the level of stress they encounter must be different. There Sample was taken from lower and middle age group belonging to various industries having differentiated work experience of zero to One year. Study focused only the management trainees. This study focuses to ensure if stress is actually affected on the basis of Gender. It also helps better appreciation of differences in problems faced by Man and Woman differently. The results of the study can help in formulating a contingency model to enhance organizational performance and effectiveness

The Effectiveness of Copulas for Modeling Compound Climate Extreme Events in Boulder County, Colorado

This paper investigates the effectiveness of copula models for understanding, estimating, and predicting compound climate extreme events. It focuses on the bivariate temperature-humidity, temperature-wind speed, and wind speed-humidity distributions within the Boulder County, Colorado region. Climate model simulation data is bootstrapped to investigate the variability of the choice of copula families and accuracy of extreme event probability predictions given different lengths and internal variability of climate data. This showed that longer data records have lower bias and variance than shorter data records in estimating the true probability of a compound extreme event. Fitting the ideal copula models to daily summary data from the region revealed that although there has been a slight increase in the frequency of the compound extreme events, this increase is within the expected range of sampling variability

The Effectiveness of Copulas for Modeling Compound Climate Extreme Events in Boulder County, Colorado

This paper investigates the effectiveness of copula models for understanding, estimating, and predicting compound climate extreme events. It focuses on the bivariate temperature-humidity, temperature-wind speed, and wind speed-humidity distributions within the Boulder County, Colorado region. Climate model simulation data is bootstrapped to investigate the variability of the choice of copula families and accuracy of extreme event probability predictions given different lengths and internal variability of climate data. This showed that longer data records have lower bias and variance than shorter data records in estimating the true probability of a compound extreme event. Fitting the ideal copula models to daily summary data from the region revealed that although there has been a slight increase in the frequency of the compound extreme events, this increase is within the expected range of sampling variability

In-operando techniques for early-stage corrosion

In this thesis, novel experimental approaches are investigated to study corrosion at the solid/liquid interface, at a higher spatial and temporal resolution than previously possible. Corrosion remains a pernicious concern for metallic structure stability. This is evident in the common case steel in contact with water, but also in particular cases such as industrially relevant anoxic CO2 solution. The initial corrosion scales can have a significant impact on how corrosion progresses. In some cases, it may prevent further corrosion. In this study, we have aimed to capture the initiation and nucleation of early scale. It is not well understood but may provide avenues to modify the scale to be an effective anti-corrosion, passivating layer. Ex-situ characterisation fails to capture dynamic chemical reactions. Corrosion products also alter upon removal from native state. We have, therefore, developed in-operando measurement methods. Several complementary approaches were developed: confocal fluorescence microscopy, synchrotron X-ray absorption and diffraction, and electron microscopy. These techniques address various aspects of the corrosion process – mineralogy, oxidation state, domain structure, etc, and provide crucial information over a range of length and time scales. Confocal fluorescence mapping was developed to map H+ and Fe2+ species in solution. Concentration of these species were accurately estimated, and provided quantitative insight into the relevant chemical reactions, kinetics and corrosion scale formation. A significant achievement was the exploitation of the state-of-the-art ‘liquid cells’ for real-time TEM imaging. The nanoscale growth of corrosion scale was captured and the scale crystallite growth rate along a domain wall and across a domain was quantified. These liquid holders were also adapted to image corrosion via X-rays at synchrotron facilities. A considerable effort was required to develop this capability. This project is the first to achieve in-operando characterisation of corrosion scale, with X-ray absorption, at the sub-micron scale. This unique combination of experimental methods offers a remarkable spatial and temporal improvement compared to previous approaches, particularly for in-situ characterisation of corrosion products. They demonstrate a capability to capture the early stage of nucleation/scale formation, giving new insight and quantifying the process. Importantly, these findings can be combined with theoretical models for a deeper understanding and predictive capability

Unilateral Hypoplasia of the Mandibular Condyle Or Dysplasia-A Unusual Case Report

As per the classification of the TMJ disorder,mandibular condylar malformation are of three types aplasia,hypoplasia ,hyperplasia and they have their respective etiology ,clinical  and radiological features .This paper highlights a case of unilateral hypoplastic  deformed condyle but the clinical  and radiological features are different from that of typical condylar hypoplasia and not associated with any kind of syndromes

Comparison of the flexural strength of polymethyl methacrylate resin reinforced with multiwalled carbon nanotubes and processed by conventional water bath technique and microwave polymerization

Purpose: This in vitro study was done to compare the flexural strength of polymethyl methacrylate resin reinforced with multiwalled carbon nanotubes (MWCNTs) and processed by conventional water bath technique and using microwave energy. Materials and Methods: A total of 180 acrylic resin specimens measuring 65 mm × 10 mm × 2.5 mm were fabricated, with conventional water bath groups and microwave group having ninety specimens each. Ninety specimens were divided into thirty specimens as control and subgroups containing 0.025% MWCNTs and 0.050% MWCNTs with thirty specimens each. The specimens were tested for flexural strength by three-point bending test on universal testing machine. The statistical analysis was done using Student's t-test and one-way analysis of variance, and the intercomparison between each group was done using Tukey's post hoc analysis. Results: The mean flexural strength of specimens cured by water bath technique was 95.563 MPa and microwave technique was 118.416 MPa. Control Group B possesses highly significant increase in flexural strength than Control Group A with P < 0.01. Unpaired Student's t-test showed that Subgroup B1 and Subgroup B2 possess highly significant increase in flexural strength than Subgroup A1and Subgroup A2. Conclusion: Heat polymerized denture base resin with and without reinforcement of MWCNTs and polymerized by microwave technique possess higher flexural strength than heat polymerized fiber reinforced denture resin polymerized by water bath technique. MWCNTs could be used as an effective reinforcement material for denture base resin polymerized by either water bath technique or microwave energy