Facial Emotion Recognition Based on Empirical Mode Decomposition and Discrete Wavelet Transform Analysis

This paper presents a new framework of using empirical mode decomposition (EMD) and discrete wavelet transform (DWT) with an application for facial emotion recognition. EMD is a multi-resolution technique used to decompose any complicated signal into a small set of intrinsic mode functions (IMFs) based on sifting process. In this framework, the EMD was applied on facial images to extract the informative features by decomposing the image into a set of IMFs and residue. The selected IMFs was then subjected to DWT in which it decomposes the instantaneous frequency of the IMFs into four sub band. The approximate coefficients (cA1) at first level decomposition are extracted and used as significant features to recognize the facial emotion. Since there are a large number of coefficients, hence the principal component analysis (PCA) is applied to the extracted features. The k-nearest neighbor classifier is adopted as a classifier to classify seven facial emotions (anger, disgust, fear, happiness, neutral, sadness and surprise). To evaluate the effectiveness of the proposed method, the JAFFE database has been employed. Based on the results obtained, the proposed method demonstrates the recognition rate of 80.28%, thus it is converging

Efficient P2P data dissemination in integrated optical and wireless networks with Taguchi method

The Quality of Service (QoS) resource consumption is always the tricky problem and also the on-going issue in the access network of mobile wireless part because of its dynamic nature of network wireless transmissions. It is very critical for the infrastructure-less wireless mobile ad hoc network that is distributed while interconnects in a peer-to-peer manner. Toward resolve the problem, Taguchi method optimization of mobile ad hoc routing (AODVUU) is applied in integrated optical and wireless networks called the adLMMHOWAN. Practically, this technique was carry out using OMNeT++ software by building a simulation based optimization through design of experiment. Its QoS network performance is examined based on packet delivery ratio (PDR) metric and packet loss probabilities (PLP) metric that consider the scenario of variation number of nodes. During the performing stage with random mobile connectivity based on improvement in optimized front-end wireless domain of AODVUU routing, the result is performing better when compared with previous study called the oRia scheme with the improvement of 14.1% PDR and 43.3% PLP in this convergence of heterogeneous optical wireless network

Energy efficient partition-lightpath scheme for IP over WDM core networks

In this paper, the research focus on the development of energy saving schemes with roots in sleep modes that support the evolution of greener core optical IP networks. The cornerstone of the adopted strategy is partition-lightpath schemes underpinned by the hibernation state implemented through a modification of the intelligent control plane, in particular for transparent network architectures under different scenarios. An enhanced multi-level operational hibernation mode through partition-lightpath was defined including functionality, structure considering its implementation issues. Through the use of appropriate design parameters the impact on blocking probability, wavelengths assignment, LSP connection requests, degree of node connectivity and network utilization can be minimized while also achieving energy savings. Evaluation of this scheme indicates potential reduction in power consumption from 9% up to 17% at the expense of reduced network performance

The Prognostic Impact of Time Interval Between Hysterectomy and Initiation of Adjuvant Radiation Treatment in Women With Early-Stage Endometrial Carcinoma

Purpose/Objective(s): Adjuvant radiation therapy (ART) is indicated for women with endometrial carcinoma (EC) who are at high risk for recurrence. However, due to various reasons, some patients do not receive ART in a timely manner. In this study, we evaluated the prognostic impact of the time interval (TI) between hysterectomy and starting date of ART. Materials/Methods: After institutional review board approval, we queried our prospectively-maintained institutional database for women with uterine endometrioid EC of 2009 FIGO stages I-II who received ART without chemotherapy after surgical staging. The patients were classified into two groups, based on whether they received ART ≤8 weeks (group A) or \u3e8 weeks (group B) after hysterectomy. We then compared the two groups with regards to the following survival endpoints: recurrence-free survival (RFS), disease-specific survival (DSS) and overall survival (OS). Univariate and multivariate analyses were also performed. Results: A total of 460 patients were identified. Median follow-up duration was 70.5 months. The median age for the entire cohort was 66.0 years. The cohort consisted of 176 patients with FIGO stage IA (38%), 207 (45%) with stage IB and 77 (17%) with stage II. Group A consisted of 354 (77%) patients, and group B had 106 (23%). The median TIs from hysterectomy to ART were 6 weeks and 10 weeks for groups A and B, respectively. There was no statistically significant difference between the groups in terms of baseline demographic and disease characteristics including age, race, grade, FIGO stage, extent of myometrial invasion, presence of lymphovascular space invasion and radiation treatment modality. A total of 52 patients experienced recurrences. Patients in group A (vs. group B) experienced significantly less recurrences overall (9% vs. 18%; p = 0.01). Rate of vaginal recurrence was significantly lower in group A (9% vs. 42%, p = 0.01). Univariate analysis showed that having RT ≤8 weeks was associated with significantly improved 5-year RFS rate, which was 89% and 80% for groups A and B (p = 0.04), respectively. The rates of 5-year OS (86% vs. 85% for groups A and B, respectively) and 5-year DSS (93% vs. 93% for groups A and B, respectively) were similar. In addition, multivariate analysis showed a statistical trend for improved 5-year RFS when receiving RT ≤8 weeks (p = 0.07). Conclusion: Our study suggests that delaying adjuvant radiation treatment beyond 8 weeks post-hysterectomy is associated with significantly more cancer recurrences for women with early-stage endometrial cancer

Facial Expression Recognition Based on Radon and Discrete Wavelet Transform using Support Vector Machines

Extracting facial features remains a difficult task because of unpredictable of facial features largely due to variations in pixel intensities and subtle changes of facial features. The Radon transform inherits rotational and translational properties that are capable of preserving pixel intensities variations and also is used to derive the directional features. Thus, this paper presents a new pattern framework for facial expression recognition based on Radon and wavelet transform using Support Vector Machines classifier to recognize the seven facial emotions. Firstly, the pre-processed facial images are projected into Radon space via Radon transform at a specified angle. Then, the obtained Radon space or sinogram that represent the facial emotions is subjected to wavelet transform. In this framework, the Radon space is decomposed into four sub-band at a different level of decomposition. The approximate coefficients sub-band are independently extracted and used as intrinsic features to recognize the facial emotion. To reduce the data dimensionality, principal component analysis (PCA) is applied to the extracted features. Then, the Support Vector Machines (SVM) classifier is adopted as a classifier to classify seven (anger, disgust, fear, happiness, neutral, sadness and surprise) facial emotions. To evaluate the effectiveness of the proposed method, the JAFFE database has been employed. Experimental results show that the proposed method has achieved 93.89% accuracy

Prediction of signal attenuation due to duststorms using mie scattering

The present trend in radio design calls for the use of frequencies above 40 GHz for short links carrying wide-band digital communication signals. In order to utilize the new frequency band efficiently, signal attenuation studies due to duststorms is needed urgently for desert areas. This paper presents a mathematical model which has been developed to predict the signal attenuation due to duststorm. The proposed model enables the convenient calculation of the signal path attenuation based on Mie solution of Maxwell's equations for the scattering of electromagnetic wave by dust particles. The predicted values from the proposed mathematical model are compared with the measured values observed in Saudi Arabia and Sudan and show relatively close agreement

Racial Disparities in Patients with Stage IIIC Endometrial Cancer

Purpose/Objective(s): To report the impact of race on clinical outcomes in patients with stage IIIC endometrial carcinoma (EC). Materials/Methods: A retrospective multi-institutional cohort study was conducted across 13 Northern American academic centers and included patients with stage IIIC endometrial carcinoma (EC) who received both chemotherapy and radiation in an adjuvant setting. Overall survival (OS) and recurrence-free survival (RFS) were calculated by Kaplan-Meier method. Univariable and multivariable analysis were performed by Cox proportional hazard models for RFS/OS. Propensity score matching was used to estimate the effect of race on survival outcomes. Statistical analyses were conducted using statistical software. Results: A total of 90 Black and 568 non-Black patients (83%) were identified with a median age at diagnosis of 62 (Interquartile Range (IQR) 55-70). Median follow-up was 45.3 months (IQR 24-71 months). Black patients were significantly older (p\u3c0.0001), had significantly more non-endometrioid histology (p\u3c0.0001), grade 3 tumors (p\u3c0.0001) and were more likely to have \u3e1 positive paraaortic lymph nodes (PALN) compared to non-black patients. The presence of lymphovascular space invasion (LVSI), depth of myometrial involvement, number of total nodes involved, adnexal and cervical involvement and stage were not correlated with race (all p\u3e0.1). As for treatment type, chemoradiotherapy sequencing approach was not correlated with race and no difference in number of chemotherapy cycles between Black and non-Black patients (p=0.32) was observed. Black patients were more often treated with external beam radiation therapy (EBRT) (43.3% and 24%, respectively) while a higher proportion of non-black patients received both EBRT and vaginal cuff brachytherapy (VBT) (65% vs. 38 %) (P\u3c0.0001) despite similar cervical involvement. The 5-year estimated OS and RFS rates were 45% and 47% compared to 77% and 68% for Black patients vs. non-black patients, respectively (p\u3c0.001). After propensity score matching, the 2 groups were well balanced for most of the covariates (age, histology, stage, grade, number of positive PALN, adnexal and cervical involvement) except for depth of myometrial invasion and radiation type. The estimated hazard ratios (HRs) of Black vs. non-Black patients were 1.613 (95% CI = (1.01, 2.575), p-value = 0.045) for OS and 1.487 (95% CI = (0.906, 2.440), p-value = 0.116) for RFS, indicating that Black patients have significantly worse OS. RFS differences did not reach statistical significance. Conclusion: Compared to non-Black patients, Black patients have higher rates of non-endometrioid histology, grade 3 tumors and number of PALNs. After propensity score matching, Black patients had worse OS but no statistically significant difference in RFS. Racial disparities could be mitigated by better access to care, equitable inclusion on randomized trials, and identification of genomic/molecular differences to better tailor adjuvant treatment