Addressing building owners, developers, and managers, this text covers how building information management (BIM) complements facility management (FM) systems to achieve significant lifecycle ...advantages. It includes coverage of the guidelines for BIM in FM as developed by owners such as the General Services Administration, the COBie2 (BIM document standard) used to collect and communicate facility equipment information, and a list of software for BIM/FM integration. It also offers six real-life case studies including the Texas AM Health Science Center, the USC School of Cinematic Arts, and the State of WI Facilities.
•A novel ReSidual U-block (RSU) is designed to capture multi-scale deep features.•A nested U-structure, called U2-Net, that uses RSU is developed for salient object detection.•Both large (176.3 MB) ...and small (4.7 MB) instances of U2-Net get competitive results.
In this paper, we design a simple yet powerful deep network architecture, U2-Net, for salient object detection (SOD). The architecture of our U2-Net is a two-level nested U-structure. The design has the following advantages: (1) it is able to capture more contextual information from different scales thanks to the mixture of receptive fields of different sizes in our proposed ReSidual U-blocks (RSU), (2) it increases the depth of the whole architecture without significantly increasing the computational cost because of the pooling operations used in these RSU blocks. This architecture enables us to train a deep network from scratch without using backbones from image classification tasks. We instantiate two models of the proposed architecture, U2-Net (176.3 MB, 30 FPS on GTX 1080Ti GPU) and U2-Net† (4.7 MB, 40 FPS), to facilitate the usage in different environments. Both models achieve competitive performance on six SOD datasets. The code is available: https://github.com/NathanUA/U-2-Net.
Nanocarbon materials, such as carbon nanotube and graphene, are reckoned as the ideal reinforcement for composites due to their extraordinary intrinsic properties. However, the commonly-used ...homogenous architecture could not guarantee an effective enhancement in the mechanical and physical properties and become the major technological barrier for practical applications. Fabrication of nanocarbon reinforced composites with special architecture such as laminate, alignment and network architecture has been reported to break through the limitations and improve the overall performance of the composites. In this review, we aim to: (1) systematically summarize the current preparation methods to achieve different types of architecture design in three classes of matrices (polymer, ceramic and metal); (2) analyze the mechanisms and the influence factors for the mechanical and physical properties (electrical and thermal conductivities) of the composites with different architecture types. Finally, we outline the main advances and outlooks for architecture design in nanocarbon reinforced composites.
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Short-wavelength infrared light with a wavelength range of 1–3 µm is crucial in various fields related to human activities. It has a better penetrating ability than visible light in ...harsh weather conditions (such as nighttime, fog, and dust) and can produce higher resolution natural images compared to mid-wavelength infrared and long-wavelength infrared light. In addition, the corresponding devices can work at room temperature without refrigeration, which is beneficial to reducing the cost and the size of the equipment, since no thermal imaging is involved. To date, many reviews have discussed the progress of infrared photodetectors from the perspective of a single type of material (such as two-dimensional metal chalcogenides, colloidal quantum dots, conjugated polymers, etc.) or a single synthesis/enhancement strategy (solution-processable, surface plasmon, optical field manipulation, etc.). As discussions from a single perspective are relatively one-sided, a more comprehensive overview is required. Herein, we review the recent research progress on SWIR photodetectors, especially the advantages and disadvantages of devices based on different materials, and provide some perspectives for the future application of SWIR photodetectors.
The development of cloud infrastructures inspires the emergence of cloud-native computing. As the most promising architecture for deploying microservices, serverless computing has recently attracted ...more and more attention in both industry and academia. Due to its inherent scalability and flexibility, serverless computing becomes attractive and more pervasive for ever-growing Internet services. Despite the momentum in the cloud-native community, the existing challenges and compromises still wait for more advanced research and solutions to further explore the potential of the serverless computing model. As a contribution to this knowledge, this article surveys and elaborates the research domains in the serverless context by decoupling the architecture into four stack layers: Virtualization, Encapsule, System Orchestration, and System Coordination. Inspired by the security model, we highlight the key implications and limitations of these works in each layer, and make suggestions for potential challenges to the field of future serverless computing.
Completely Automated CNN Architecture Design Based on Blocks Sun, Yanan; Xue, Bing; Zhang, Mengjie ...
IEEE transaction on neural networks and learning systems,
2020-April, 2020-Apr, 2020-4-00, 20200401, Volume:
31, Issue:
4
Journal Article
Open access
The performance of convolutional neural networks (CNNs) highly relies on their architectures. In order to design a CNN with promising performance, extensive expertise in both CNNs and the ...investigated problem domain is required, which is not necessarily available to every interested user. To address this problem, we propose to automatically evolve CNN architectures by using a genetic algorithm (GA) based on ResNet and DenseNet blocks. The proposed algorithm is completely automatic in designing CNN architectures. In particular, neither preprocessing before it starts nor postprocessing in terms of CNNs is needed. Furthermore, the proposed algorithm does not require users with domain knowledge on CNNs, the investigated problem, or even GAs. The proposed algorithm is evaluated on the CIFAR10 and CIFAR100 benchmark data sets against 18 state-of-the-art peer competitors. Experimental results show that the proposed algorithm outperforms the state-of-the-art CNNs hand-crafted and the CNNs designed by automatic peer competitors in terms of the classification performance and achieves a competitive classification accuracy against semiautomatic peer competitors. In addition, the proposed algorithm consumes much less computational resource than most peer competitors in finding the best CNN architectures.
While cloud computing has brought paradigm shifts to computing services, researchers and developers have also found some problems inherent to its nature such as bandwidth bottleneck, communication ...overhead, and location blindness. The concept of fog/edge computing is therefore coined to extend the services from the core in cloud data centers to the edge of the network. In recent years, many systems are proposed to better serve ubiquitous smart devices closer to the user. This article provides a complete and up-to-date review of edge-oriented computing systems by encapsulating relevant proposals on their architecture features, management approaches, and design objectives.
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