222 research outputs found
Development of Hypervideo Platform Using Object Databases
No full textWeb users are seizing on interactive capabilities that software suppliers have developed so far, and are eagerly awaiting new interactive capabilities now being demonstrated. This paper focuses the development of rich information environment based on a customized platform enabling hyperlinks on objects within a digital video. With the help of such environment, the viewer is able to view multiple videos concurrently and browse them temporally as well as spatially with the help of an object database. Specifically, the platform enables to traverse through that object by linking, and such links have been explored and created. The link may connect to within a video, or multiple running videos and/or World Wide Web object. The issues such as open hypermedia link base (static, generic or dynamic) and object database versus multiple videos are also investigated
Study of Pakistan pilot project farmer-leaders to Nepal
No full textFarmer participation / Irrigation management / Farmer managed irrigation systems / Irrigated farming / Sustainable agriculture / Institution building / Pakistan
Are Two Interviews Better Than One? Memory across Repeated Cognitive Interviews.
No full textEyewitnesses to a filmed event were interviewed twice using a Cognitive Interview to examine the effects of variations in delay between the repeated interviews (immediately & 2 days; immediately & 7 days; 7 & 9 days) and the identity of the interviewers (same or different across the two repeated interviews). Hypermnesia (an increase in total amount of information recalled in the repeated interview) occurred without any decrease in the overall accuracy. Reminiscence (the recall of new information in the repeated interview) was also found in all conditions but was least apparent in the longest delay condition, and came with little cost to the overall accuracy of information gathered. The number of errors, increased across the interviews, but the relative accuracy of participants' responses was unaffected. However, when accuracy was calculated based on all unique details provided across both interviews and compared to the accuracy of recall in just the first interview it was found to be slightly lower. The identity of the interviewer (whether the same or different across interviews) had no effects on the number of correct details. There was an increase in recall of new details with little cost to the overall accuracy of information gathered. Importantly, these results suggest that witnesses are unlikely to report everything they remember during a single Cognitive Interview, however exhaustive, and a second opportunity to recall information about the events in question may provide investigators with additional information
The Role of Muhammad Umar Memon in Fictional Translations
No full textThe history of fiction translation in Urdu Language is not veryold and one of the able translator we see in this history isMUHAMMAD UMAR MEMON. The element of creativity canbe seen prominently in its translations. He adapted the works ofArabic, French, English, Czech writers into Urdu style such away that due to the rare use of similes, the meaning was freedfrom the confines of the text even for the Urdu Readers. Themain merit of MemonLs translations is that while having acreative element, do not depart form the source text so that thestory reach the target in that style the author intended. Thepleasant style in which the complicated plot story is welladopted to the target language is a proof of its trustworthiness
Causes of recurrence in laparoscopic inguinal hernia repair (vol 22, pg 975, 2018)
No full textIn the original publication, affiliation 3 was incorrectly published for the author 'Darius Ashrafi'. The correct affiliation should read as 'Department of Surgery, Sunshine Coast University Hospital, Birtinya, QLD, Australia
Using information theoretic vector quantization for gmm based speaker verification
No full textPublication in the conference proceedings of EUSIPCO, Lausanne, Switzerland, 200
False claims about false memory research
No full textPezdek and Lam [Pezdek, K. & Lam, S. (2007). What research paradigms have cognitive psychologists used to study “False memory,” and what are the implications of these choices? Consciousness and Cognition] claim that the majority of research into false memories has been misguided. Specifically, they charge that false memory scientists have been (1) misusing the term “false memory,” (2) relying on the wrong methodologies to study false memories, and (3) misapplying false memory research to real world situations. We review each of these claims and highlight the problems with them. We conclude that several types of false memory research have advanced our knowledge of autobiographical and recovered memories, and that future research will continue to make significant contributions to how we understand memory and memory errors
Automatic speaker recognition: modelling, feature extraction and effects of clinical environment
No full textSpeaker recognition is the task of establishing identity of an individual based on his/her voice. It has a significant potential as a convenient biometric method for telephony applications and does not require sophisticated or dedicated hardware. The Speaker Recognition task is typically achieved by two-stage signal processing: training and testing. The training process calculates speaker-specific feature parameters from the speech. The features are used to generate statistical models of different speakers. In the testing phase, speech samples from unknown speakers are compared with the models and classified.Current state of the art speaker recognition systems use the Gaussian mixture model (GMM) technique in combination with the Expectation Maximization (EM) algorithm to build the speaker models. The most frequently used features are the Mel Frequency Cepstral Coefficients (MFCC).This thesis investigated areas of possible improvements in the field of speaker recognition. The identified drawbacks of the current speaker recognition systems included: slow convergence rates of the modelling techniques and feature’s sensitivity to changes due aging of speakers, use of alcohol and drugs, changing health conditions and mental state. The thesis proposed a new method of deriving the Gaussian mixture model (GMM) parameters called the EM-ITVQ algorithm. The EM-ITVQ showed a significant improvement of the equal error rates and higher convergence rates when compared to the classical GMM based on the expectation maximization (EM) method.It was demonstrated that features based on the nonlinear model of speech production (TEO based features) provided better performance compare to the conventional MFCCs features.For the first time the effect of clinical depression on the speaker verification rates was tested. It was demonstrated that the speaker verification results deteriorate if the speakers are clinically depressed. The deterioration process was demonstrated using conventional (MFCC) features.The thesis also showed that when replacing the MFCC features with features based on the nonlinear model of speech production (TEO based features), the detrimental effect of the clinical depression on speaker verification rates can be reduced
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