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Sensors ◽  
2022 ◽  
Vol 22 (1) ◽  
pp. 337
Author(s):  
Hatem Ibrahem ◽  
Ahmed Salem ◽  
Hyun-Soo Kang

We propose Depth-to-Space Net (DTS-Net), an effective technique for semantic segmentation using the efficient sub-pixel convolutional neural network. This technique is inspired by depth-to-space (DTS) image reconstruction, which was originally used for image and video super-resolution tasks, combined with a mask enhancement filtration technique based on multi-label classification, namely, Nearest Label Filtration. In the proposed technique, we employ depth-wise separable convolution-based architectures. We propose both a deep network, that is, DTS-Net, and a lightweight network, DTS-Net-Lite, for real-time semantic segmentation; these networks employ Xception and MobileNetV2 architectures as the feature extractors, respectively. In addition, we explore the joint semantic segmentation and depth estimation task and demonstrate that the proposed technique can efficiently perform both tasks simultaneously, outperforming state-of-art (SOTA) methods. We train and evaluate the performance of the proposed method on the PASCAL VOC2012, NYUV2, and CITYSCAPES benchmarks. Hence, we obtain high mean intersection over union (mIOU) and mean pixel accuracy (Pix.acc.) values using simple and lightweight convolutional neural network architectures of the developed networks. Notably, the proposed method outperforms SOTA methods that depend on encoder–decoder architectures, although our implementation and computations are far simpler.


2021 ◽  
Author(s):  
◽  
Anthony Mak

<p>At an accelerating rate, over half of the world’s population is living in urban centres. The catastrophic risk to environmental, cultural, and economic resources amidst these high concentrations of livelihoods upon the wake of a disaster has the potential to be devastating.  A city’s urban form consisting of its open space networks and street structures are important spatial resources that provide affected communities with efficient evacuation routes, assembly areas, temporary market spaces, and room for temporary shelters in the aftermath of a disaster. Open public spaces are especially important during these scenarios as they provide large volumes of space that can be adapted to a variety of different functions. However, these spaces are seldom designed with resilience in mind.  This thesis investigates how open spaces are able to contribute to the disaster resiliency of urban centres, ensuring that the needs of the present are in light of the needs of the future.</p>


2021 ◽  
Author(s):  
◽  
Anthony Mak

<p>At an accelerating rate, over half of the world’s population is living in urban centres. The catastrophic risk to environmental, cultural, and economic resources amidst these high concentrations of livelihoods upon the wake of a disaster has the potential to be devastating.  A city’s urban form consisting of its open space networks and street structures are important spatial resources that provide affected communities with efficient evacuation routes, assembly areas, temporary market spaces, and room for temporary shelters in the aftermath of a disaster. Open public spaces are especially important during these scenarios as they provide large volumes of space that can be adapted to a variety of different functions. However, these spaces are seldom designed with resilience in mind.  This thesis investigates how open spaces are able to contribute to the disaster resiliency of urban centres, ensuring that the needs of the present are in light of the needs of the future.</p>


2021 ◽  
Author(s):  
E. Alexis Flores-Padilla ◽  
K. Eurídice Juárez-Mercado ◽  
José J. Naveja ◽  
Taewon D. Kim ◽  
Ramón Alain Miranda-Quintana ◽  
...  

The importance of epigenetic drug and probe discovery is on the rise. This is not only paramount to identify and develop therapeutic treatments associated with epigenetic processes but also to understand the underlying epigenetic mechanisms involved in biological processes. To this end, chemical vendors have been developing synthetic compound libraries focused on epigenetic targets to increase the probabilities of identifying promising starting points for drug or probe candidates. However, the chemical contents of these data sets, the distribution of their physicochemical properties, and diversity remain unknown. To fill this gap and make this information available to the scientific community, we report a comprehensive analysis of eleven libraries focused on epigenetic targets containing more than 50,000 compounds. We used well-validated chemoinformatics approaches to characterize these sets, including novel methods such as automated detection of analog series and visual representations of the chemical space based on Constellation Plots and Extended Chemical Space Networks. This work will guide the efforts of experimental groups working on high-throughput and medium-throughput screening of epigenetic-focused libraries. The outcome of this work can also be used as a reference to design and describe novel focused epigenetic libraries.


Author(s):  
Edward J. Birrane ◽  
Carlo Caini ◽  
Gian Marco De Cola ◽  
Federico Marchetti ◽  
Laura Mazzuca ◽  
...  

2021 ◽  
Author(s):  
Sahar Allouch ◽  
Maxime Yochum ◽  
Aya Kabbara ◽  
Joan Duprez ◽  
Mohamad Khalil ◽  
...  

Author(s):  
А.А. Брусков

В этой работе разрабатываются новый подход и алгоритмические инструменты для моделирования и анализа живучести сетей с разнородными узлами, а также рассматривается их применение в космических сетях. Космические сети позволяют совместно использовать ресурсы космических аппаратов на орбите, такие как хранение, обработка и обмен данными. Каждый космический аппарат в сети может иметь различный состав и функциональность подсистем, что приводит к неоднородности узлов. Большинство традиционных анализов живучести сетей предполагают однородность узлов и в результате не подходят для анализа космических сетей. Эта работа предполагает, что гетерогенные сети могут быть смоделированы как взаимозависимые многоуровневые сети, что позволяет проводить анализ их живучести. Многоуровневый аспект фиксирует разбивку сети в соответствии с общими функциональными возможностями в различных узлах и позволяет создавать однородные подсети, в то время как аспект взаимозависимости ограничивает сеть для захвата физических характеристик каждого узла. In this paper, we develop a new approach and algorithmic tools for modeling and analyzing the survivability of networks with heterogeneous nodes, and also consider their application in space networks. Space networks allow the sharing of spacecraft resources in orbit, such as data storage, processing, and exchange. Each spacecraft in the network may have a different composition and functionality of subsystems, which leads to heterogeneity of nodes. Most traditional network survivability analyses assume node homogeneity and as a result are not suitable for space network analysis. This work suggests that heterogeneous networks can be modeled as interdependent multi-level networks, allowing analysis of their survivability. The multi-level aspect captures the network breakdown according to the common functionality in different nodes and allows for the creation of homogeneous subnets, while the interdependence aspect restricts the network to capture the physical characteristics of each node.


Author(s):  
Valentin Olenev

Introduction: New technologies are replacing the onboard space networks based on bus topologies. One of these technologies is SpaceWire. New communication protocols are being developed, expanding SpaceWire functionality. The protocol developers should provide all the required technical characteristics for data transmission and processing. Purpose: Analysis of the existing requirements for communication protocols, and development of consolidated set of requirements that will take into account the modern requests of the space industry. Results: The analysis of the existing demands on communication protocols resulted in a set of consolidated requirements for the physical-network layers’ protocols and the transport layer protocols. The requirements cover the speed, latencies, transmission distance, transmitted information amount, fault detection functionality, time synchronization between the devices, quality of service, main user data types, and data transfer modes at the transport level. The existing SpaceWire protocols are defined as a special class of protocols, possessing unique characteristics. Practical relevance: The performed analysis can simplify the implementation of new onboard communication protocols and provide a required level of technique for new generation spacecraft.


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