People are becoming used to fake world and vocal communication as technology advances. There are a few ways to communicate with people online in this modern invention. A large number of individuals often choose and us...
详细信息
This poster will map out the outcome of the interrelational, dialogical, and cooperative Digital Humanities partnership that is mutually enhancing not only the investigation carried out by the History of Education tea...
This poster will map out the outcome of the interrelational, dialogical, and cooperative Digital Humanities partnership that is mutually enhancing not only the investigation carried out by the History of Education team but also the agenda of the Lleida University Archive and Records Management Service applying Semantic Technology.
People are becoming used to fake world and vocal communication as technology advances. There are a few ways to communicate with people online in this modern invention. A large number of individuals often choose and us...
详细信息
People are becoming used to fake world and vocal communication as technology advances. There are a few ways to communicate with people online in this modern invention. A large number of individuals often choose and use the simplest form of reporting, namely email. The era of encrypted email allows users to communicate with other people by posting signals and also facilitates cross-border corporate communication. Some individuals are unable to take advantages of this technology due to their ignorant or lack the necessary visible screen ability. Therefore, a Speech completely messaging device is suggested using Py but instead Ai to save time for externally examined people. Its device gives those who have been evaluated on the outside some power of contact and considerably increases their sense of stability as objectivity. With the use of that invention, blind persons will indeed be able to send out emails just like other regular citizens. Voice-based messaging systems use cutting-edge technology to ensure their legitimacy to people who have been vetted on the outside.
This paper is concern about segmentation on pap smear images to use for classification cervical cancer. A cervical cancer screening by recognizing the cell shape pattern on the Pap-smear image can provide information ...
详细信息
This paper is concern about segmentation on pap smear images to use for classification cervical cancer. A cervical cancer screening by recognizing the cell shape pattern on the Pap-smear image can provide information about the presence of cervical cancer Pap-smear. The manual screening process for classifying cells is a challenging endeavor prone to the risk of error. There are several studies on the classification of cervical cell images which are sometimes not segmented first. Segmentation is very important to get the features contained in the image of cervical cells including the cell nucleus and cytoplasm. However, the segmentation results are also determined by the quality of images. This study proposed 2 paths that had a combination of image segmentation and classification. Before segmentation, image enhancement was carried out to improve image quality using Normalization, CLAHE and Adaptive Gamma Correction. The first path, the segmentation based on the CNN architecture. The second path is a classification process to test the segmentation results used by applying the KNN and ANN methods. The accuracy (ACC) result at the segmentation path was used to measure the match between the location of the segmented pixels and the results on ground truth, while the accuracy at the classification path was the success of the machine in classifying or predicting the segmentation results based on the class label for each group according normal and abnormal Pap-smear's label. The ACC result obtained in segmentation was only 0.77. However, the results of the segmentation when used in classification to classify which Pap-smears were normal and which are abnormal could provide excellent accuracy results, which were above 0.9. The results of the performance of Sensitivity (SN), Specificity (SP) and F1-score on the segmentation path also only gave results below 0.72, but the performance on the classification path that used the results on the segmentation path gave well results, wh
Hypotension is common in critically ill patients. Early prediction of hypotensive events in the Intensive Care Units (ICUs) allows clinicians to pre-emptively treat the patient and avoid possible organ damage. In this...
详细信息
ISBN:
(数字)9781728119908
ISBN:
(纸本)9781728119915
Hypotension is common in critically ill patients. Early prediction of hypotensive events in the Intensive Care Units (ICUs) allows clinicians to pre-emptively treat the patient and avoid possible organ damage. In this study, we investigate the performance of various supervised machine-learning classification algorithms along with a real-time labeling technique to predict acute hypotensive events in the ICU. It is shown that logistic regression and SVM yield a better combination of specificity, sensitivity and positive predictive value (PPV). Logistic regression is able to predict 85% of events within 30 minutes of their onset with 81% PPV and 96% specificity, while SVM results in 96% specificity, 83% sensitivity and 82% PPV. To further reduce the false alarm rate, we propose a high-level decision-making algorithm that filters isolated false positives identified by the machine-learning algorithms. By implementing this technique, 24% of the false alarms are filtered. This saves 21 hours of medical staff time through 2,560 hours of monitoring and significantly reduces the disturbance caused by alarming monitors.
High efficiency video coding (HEVC) standard, introduced by joint collaborative team on video coding (JCT-VC) is the newest international standard of video compression. This standard provides more compression and bett...
详细信息
ISBN:
(纸本)9781479953608
High efficiency video coding (HEVC) standard, introduced by joint collaborative team on video coding (JCT-VC) is the newest international standard of video compression. This standard provides more compression and better video quality, compared to the previous standards such as H.264. The higher compression efficiency is obtained at the cost of an increase in the computational load. One of the portions which imposes high computational load to encoder is the intra prediction unit. In HEVC, 35 modes are proposed for intra prediction to improve the compression efficiency. To reduce the computational load of intra prediction, HEVC uses a pre-processing step, called Rough Mode Decision (RMD). It selects a number of best prediction modes. Then, using Rate Distortion Optimization (RDO) process, the encoder selects the best prediction mode. We reduced the number of the tested modes in RMD from 35 to 19 in our proposed method. Moreover, we reduced the number of the selected modes through the RMD step in order to decrease the encoding time. Simulation results indicate 14.2% reduction in the encoding time whereas the R-D specification in general remains unchanged.
We consider dynamic games on large networks, motivated by structural and decision making issues pertaining in the area of Systems of Systems. The players participating in the game do not know the network structure and...
详细信息
ISBN:
(纸本)9781479906505
We consider dynamic games on large networks, motivated by structural and decision making issues pertaining in the area of Systems of Systems. The players participating in the game do not know the network structure and the characteristics of the dynamics and costs of the players involved. Instead, they know some local characteristics of the topology, as well as a statistical description of the network. An approximate equilibrium concept is introduced and a complexity notion that describes the minimum amount of structural and feedback information needed for the players in order to behave approximately in Nash equilibrium, is defined. An example of a Linear Quadratic game on a ring is finally studied and an asymptotic upper bound for the complexity of the game is derived.
Dropout rate between 20 to 80 percent has been reported in e-learning, so decreasing dropout rate is one of the major challenges of e-learning systems. The aim of this study is to identify the theories that explain th...
详细信息
Dropout rate between 20 to 80 percent has been reported in e-learning, so decreasing dropout rate is one of the major challenges of e-learning systems. The aim of this study is to identify the theories that explain the success rate of elearners. We used a quantitative content analysis by reviewing the findings of 24 major studies in this field. Findings revealed that motivational theories(f:13); self-regulated learning(f:6) and interaction(f:5) are the most important explanatory theories for elearner success. Results from 223 elearner at IUST elearning center showed that there are relationship between self-regulation and elearner dropout, in addition the results of t-test revealed that persistence elearner (M=3.50,SD=.66) had significantly high self-regulatory score than the dropout group (M=3.24,SD=.80), t=-2.54(221),p=.01.
Recently there has been a significant amount of research on developing consensus based algorithms for distributed optimization motivated by applications that vary from large scale machine learning to wireless sensor n...
详细信息
ISBN:
(纸本)9781467320658
Recently there has been a significant amount of research on developing consensus based algorithms for distributed optimization motivated by applications that vary from large scale machine learning to wireless sensor networks. This work describes and proves convergence of a new algorithm called Push-Sum Distributed Dual Averaging which combines a recent optimization algorithm [1] with a push-sum consensus protocol [2]. As we discuss, the use of push-sum has significant advantages. Restricting to doubly stochastic consensus protocols is not required and convergence to the true average consensus is guaranteed without knowing the stationary distribution of the update matrix in advance. Furthermore, the communication semantics of just summing the incoming information make this algorithm truly asynchronous and allow a clean analysis when varying intercommunication intervals and communication delays are modelled. We include experiments in simulation and on a small cluster to complement the theoretical analysis.
Conductance catheters are known to have a nonuniform spatial sensitivity due to the distribution of the electric field. The Geselowitz relation is applied to the murine conductance catheter using a finite element mode...
详细信息
ISBN:
(纸本)9781424441198
Conductance catheters are known to have a nonuniform spatial sensitivity due to the distribution of the electric field. The Geselowitz relation is applied to the murine conductance catheter using a finite element model to determine catheter's spatial sensitivity in uniform media. Further analysis of FEM numerical modeling results using the Geselowitz relation provides a true measure of parallel conductance in a simplified murine left ventricle for assessment of the admittance method and hypertonic saline techniques. The spatial sensitivity of blood conductance (G_b) is determined throughout the cardiac cycle. G_b is converted to volume using Wei's equation to determine if the presence of myocardium alters the nonlinear relationship through changes to the electric field shape. Results show that the admittance method correctly calculates G_b in comparison to the Geselowitz relation, and that the relationship between G_b and volume is accurately fit using Wei's equation.
暂无评论