The Evalita 2011 contest proposed two forced alignment tasks, word and phone segmentation, and two modalities, “open” and “closed”. A system for each combination of task and modality has been proposed and submitted for evaluation. Direct use of silence/activity detection in forced alignment has been tested. Positive effects were shown in the acoustic model training step, especially when dealing...

We present a new analysis technique for pathlines in 3D simulation data by visualizing the distribution of the scalars along pathlines in a separate 2D view. The presented visualization is applicable for vortex detection and for understanding the development of scalar properties of particles during their traversal through the simulation domain. Furthermore the presented 2D view can be coupled w...

In the field of industry, defect detection based on YOLO models is widely used. real detection, method insulative baffles artificial detection. The work efficiency this method, however, low because depends absolutely human eyes. Considering excellent performance YOLOx, an intelligent YOLOx proposed. First, we selected a CIOU loss function instead IOU by analyzing characteristics baffles. additi...

Conventional SLAM (Simultaneous Localization and Mapping) systems typically provide odometry estimates and point-cloud reconstructions of an unknown environment. While these outputs can be used for tasks such as autonomous navigation, they lack any semantic information. Our project implements a modular object detection framework that can be used in conjunction with a SLAM engine to generate sem...

Convolution is the main building block of a convolutional neural network (CNN). We observe that an optimized CNN often has highly correlated filters as number channels increases with depth, reducing expressive power feature representations. propose Tied Block (TBC) shares same thinner filter over equal blocks and produces multiple responses single filter. The concept TBC can also be extended to...

Introduction: Single isocentre half-beam block (HBB) technique permits the avoidance of hot and cold spots. This technique is very useful in sparing the underlying ipsilateral lung and heart, if the left breast is treated. The major advantage of this technique is that it facilitates the complete sparing of both contralateral breast and lung. Regarding this, the present study aimed to analyse th...

We propose an end-to-end neural network that improves the segmentation accuracy of fully convolutional networks by incorporating a localization unit. This network performs object localization first, which is then used as a cue to guide the training of the segmentation network. We test the proposed method on a segmentation task of small objects on a clinical dataset of ultrasound images. We show...

Introduction Radiotherapy with small fields is used widely in newly developed techniques. Additionally, dose calculation accuracy of treatment planning systems in small fields plays a crucial role in treatment outcome. In the present study, dose calculation accuracy of two commercial treatment planning systems was evaluated against Monte Carlo method. Materials and Methods Siemens Once or linea...