83 research outputs found
Measuring 3D Video Quality of Experience (QoE) Using A Hybrid Metric Based on Spatial Resolution and Depth Cues
No full textA three-dimensional (3D) video is a special video representation with an artificial stereoscopic vision effect that increases the depth perception of the viewers. The quality of a 3D video is generally measured based on the similarity to stereoscopic vision obtained with the human vision system (HVS). The reason for the usage of these high-cost and time-consuming subjective tests is due to the lack of an objective video Quality of Experience (QoE) evaluation method that models the HVS. In this paper, we propose a hybrid 3D-video QoE evaluation method based on spatial resolution associated with depth cues (i.e., motion information, blurriness, retinal-image size, and convergence). The proposed method successfully models the HVS by considering the 3D video parameters that directly affect depth perception, which is the most important element of stereoscopic vision. Experimental results show that the measurement of the 3D-video QoE by the proposed hybrid method outperforms the widely used existing methods. It is also found that the proposed method has a high correlation with the HVS. Consequently, the results suggest that the proposed hybrid method can be conveniently utilized for the 3D-video QoE evaluation, especially in real-time applications
Watermarking of Parkinson Disease Speech in Cloud-Based Healthcare Framework
No full textMobile healthcare in a cloud-based system increases the easiness and the ubiquitous nature of patient-doctor relationship. One of the major issues of this healthcare is secure transmission and data authenticity. If the data is not transmitted securely or not authenticated, the clients may face embarrassment. In this paper, we propose a cloud-based healthcare framework that will authenticate speech data from a patient suspected to have Parkinson's disease. The patient sends his or her speech signal recorded via a smart phone through Internet to the cloud. A discrete wavelet transform- (DWT-) singular value decomposition (SVD) based speech watermarking module is run in the cloud to embed watermark to the signal. In case of authentication, watermark is extracted from the questioned signal and matched with the stored watermark. Experimental results indicate that the proposed DWT-SVD based watermarking system achieves imperceptibility and is robust against attacks such as additive white Gaussian noise and filtering
Panoramic radiography as an aid in diagnosing mandibular fractures
No full textA retrospective study was undertaken to determine the reliability of the panoramic radiograph (PR) in the evaluation of fractures in the mandible. Among the 62 fractures present in the 52 patients included in this study, 57 fractures (92%) were recognized in the panoramic radiographs, while 5 fractures (8%) were missed and detected in other types of plain films. Four out of the fifty-two patients included in the study had no PR made as the primary diagnostic radiograph was taken for various medical problems. It was concluded that PR provides useful diagnostic information in evaluating mandibular fracture, however, limitations were noted. Other plain films may be needed when PR is negative and there is clinical evidence that a fracture exists.Corresponding Author:
Dr. Asmaa A. Al-Musaed, lecturer, Department of Oral and Maxillofacial Surgery and Diagnostic Sciences, College of Dentistry, King Saud University, P.O. Box 50771, Riyadh 11533 Saudi Arabia. Email
Image Tampering Detection Based on Local Texture Descriptor and Extreme Learning Machine
No full textDeep learning framework for short term power load forecasting, a case study of individual household energy customer
No full textData Reduction Using Change Coding for Remote Applications of wireless Visual Sensor Networks
No full textThe data reduction capability of image compression schemes is limited by the underlying compression technique. For applications with minor changes between consecutive frames, change coding can be used to further reduce the data. We explored the efficiency of change coding for data reduction in a wireless visual sensor network (WVSN). This paper presents an analysis of the compression efficiency of change coding for a variety of changes, such as different shapes, sizes, and locations of white objects in adjacent sets of frames. Compressing change frame provides a better performance compared with compressing the original frames for up to 95% changes in the number of objects in adjacent frames. Due to illumination noise, the size of the objects increases at its boundaries, which negatively affects the performance of change coding. We experimentally proved that the negative impact of illumination noise could be reduced by applying morphology on the change frame. Communication energy consumption of the VSN is dependent on the data that are transmitted to the server. Our results show that the communication energy consumption of the VSN can be reduced by 27%, 29%, and 46% by applying change coding in combination with JBIG2, Group4, and Gzip_pack, respectively. The findings presented in this paper will aid researchers in enhancing the compression potential of image coding schemes in the energy-constrained applications of WVSNs.SMART (Smarta system och tjänster för ett effektivt och innovativt samhälle
Analysis of Binary Image Coding Methods for Outdoor Applications of Wireless Vision sensor Networks
No full textThe processing of images at the vision sensor nodes (VSN) requires a high computation power and their transmission requires a large communication bandwidth. The energy budget is limited in outdoor applications of wireless vision sensor networks (WVSN). This means that both the processing of images at the VSN and the communication to server must be energy efficient. The wireless communication of uncompressed data consumes huge amounts of energy. Data compression methods are efficient in reducing data in images and can be used for the reduction in transmission energy. We have evaluated seven binary image coding techniques. Our evaluation is based on the processing complexity and energy consumption of the compression methods on the embedded platforms. The focus is to come up with a binary image coding method, which has good compression efficiency and short processing time. An image coding method with such attributes will result in reduced total energy requirement of the node. We have used both statistically generated images and real captured images, in our experiments. Based on our results, we conclude that International Telegraph and Telephone Consultative Committee Group 4, gzip_pack and JPEG-LS are suitable coding methods for the outdoor applications of WVSNs.SMART (Smarta system och tjänster för ett effektivt och innovativt samhälle
Prediction of Critical Pipe Running Speed During Tripping in Drilling Operations
No full textBlowout and loss of circulation are two serious accidents that can happen while drilling without the control on drillstring running speed during tripping operations. Exceeding the critical running speed during tripping-out (high swabbing pressure) and lack of control of mud rheology are the main causes for blowout. Also, exceeding the critical running speed while tripping-in (high surge pressure) and lack of control of mud rheology are the main causes for loss of circulation. Many factors which affect surge and swab pressures must be precisely selected in order to control kicks or blowouts and to prevent loss of circulation. Prediction ofthe critical pipe running-in and -out speeds during tripping operations is therefore very important. This can be done by the evaluation of several basic fluid flow equations. A computer program has been developed to simplify these ca1culations. The developed program requires fairly simple input data which can be measured in laboratory in addition to hole and drillstring dimensions. The output of this program then is transformed into graphical form from which the safe running-in and -out speeds during tripping can be predicted. As an alternative and direct way to predict the critical pipe running speed during tripping operations two correlations have been developed. These colTelations account for the govel11ing factors which affect the tripping-in and -out speeds including mud properties and drillstring and hole configuration. A comparison between the critical pipe running speed computed using the two methods has been outlined and very good accuracy based on the coefficient of linear correlation (r2) and the standard error of estimate (SEE) (r2 = 0.995 ; SEE = 0.39 for running-out correlation and r2 = 0.875 ; SEE = 0.8] 7 tor running-in correlation) have been obtained. Critical tripping speeds were found to be greatly dependent on mud weight and rheology, hole diameter and drillcollars-to-dri11pipe length ratio.Corresponding Author:
Professor Musaed N. J. Al-Awad, Petroleum and Natural Gas Engineering, Department, College of Engineering, King Saud University, PO Box 800, Riyadh 11421, Saudi Arabia
Improved Particle Swarm Optimization Based on Velocity Clamping and Particle Penalization
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