Uncertainties and Interdisciplinary Transfers Through the End-to-End System (UNITES): Capturing Uncertainty in the Common Tactical Environmental Picture

2001 ◽  
Author(s):  
Robert N. Miller
Keyword(s):  
The Common ◽  
End To End

scholarly journals FORMATION OF COUNTRY ESTATE DEVELOPMENT OF THE XVIII-EARLY XX CENTURIES.ON THE EXAMPLE OF GATCHINSKY DISTRICT IN LENINGRAD REGION

2019 ◽  
pp. 85-93
Author(s):  
E. Shuvaeva
Keyword(s):  
Analytical Method ◽  
Architecture Design ◽  
Leningrad Region ◽  
Xviii Century ◽  
History Of ◽  
The Common ◽  
End To End ◽  
Xix Century

The article deals with the history of the emergence and development of country estate complexes located on the territory of the modern Gatchinsky district of the Leningrad region. Large estates of the highest nobility, occupying more than 40 hectares, medium and small noble estates, the area of which does not exceed 30 – 40 hectares and cottages are studied. The relevance of the study is due to the problems of adaptation of historical estates of the XVIII-early XX centuries in the context of preserving the historical environment. The research is urgent due to the issues of adaptation the historical estates of the XVIII-early XX centuries in the context of preserving the historical environment. The common tendencies, which are typical for country estate of the XVIII century second part, at the turn of the XVIII and XIX century, first and second parts of the XIX century and at the turn of the XIX and XX century period, are highlighted by analytical method. It contains analysis of features of architectural projection structure of country estates, which are changed due to each stage of developing, because it is necessary for end-to-end solution for reservation of historical noble estates. In result, the main chronological periods are founded and main modifications in layout structures of country estates and architecture design are described. Prosperity of country estates and formation of its classic appearance happened from the middle of the XVIII century till the end of first quarter of the XIX century. Country cottages, which refer to the period of prosperity, mainly are designed for year-round residence. Additionally, the research contains review of country estate culture fade period. Main preconditions of country cottages appearance and developing in first part of XIX century are studied and described. The key vectors of adaptation of manor complexes after 1917 are designated, concrete examples of functional reorientation are given.

scholarly journals Review and Progress towards the Common Broadband Management of High-Voltage Transmission Grids: Model Expansion and Comparative Modal Analysis

2012 ◽  
Vol 2012 ◽  
pp. 1-18 ◽  
Author(s):  
Athanasios G. Lazaropoulos
Keyword(s):  
High Voltage ◽  
Power Grid ◽  
Signal Propagation ◽  
Power Lines ◽  
Analysis Tool ◽  
Transmission Power ◽  
Transmission Potential ◽  
The Common ◽  
End To End ◽  
The Impact

The need of bridging the digital gap between underdeveloped/developed areas and promoting smart grid (SG) networks urges the deployment of broadband over power lines (BPL) systems and their further integration. The contribution of this paper is fourfold. First, based on the well-established hybrid model of (Lazaropoulos and Cottis 2009, 2010, Lazaropoulos, 2012) and the generic multidimensional network analysis tool presented in (Lazaropoulos 2012, Sartenaer 2004, Sartenaer and Delogne 2006, 2001) an exact multidimensional chain scattering matrix method, which is suitable for overhead high-voltage/broadband over power lines (HV/BPL) networks, is proposed and is evaluated against other theoretical and experimental proven models. Second, the proposed method investigates the overhead HV/BPL transmission grids (overhead 150 kV single-circuit, 275 kV double-circuit, and 400 kV double-circuit multiconductor structures) with regard to their end-to-end signal attenuation. It is found that the above features depend drastically on the overhead power grid type, the frequency, the MTL configuration, the physical properties of the cables used, the end-to-end distance, and the number, the length, and the terminations of the branches encountered along the end-to-end BPL signal propagation. Third, the impact of the multiplicity of the branches at the same junction in overhead HV grids is first examined. Based on the inherent long-branch structure and the quasi-static behavior of single/multiple branches with matched terminations of overhead HV grid, a simple approach suitable for overhead HV/BPL channel estimation is presented. Fourth, identifying the similar characteristics among different overhead HV/BPL configurations, an additional step towards the common overhead HV/BPL analysis is demonstrated; the entire overhead HV/BPL grid may be examined under a common PHY framework regardless of the overhead HV/BPL grid type examined. Finally, apart from the presentation of broadband transmission potential of the entire overhead transmission power grid, a consequence of this paper is that it helps towards: (i) the better broadband monitoring and management of overhead HV transmission power grids in an interactive SG network; and (ii) the intraoperability/interoperability of overhead HV/BPL systems under the aegis of a unified transmission/distribution SG power network.

scholarly journals An ACO-based cross-layer routing algorithm in space-air-ground integrated networks

2021 ◽  
Author(s):  
Rongping Zheng ◽  
Jiaxiang Zhang ◽  
Qi Yang
Keyword(s):  
Signal To Noise Ratio ◽  
Routing Algorithm ◽  
Link Quality ◽  
Cross Layer ◽  
Time Varying ◽  
Queuing Delay ◽  
Integrated Networks ◽  
Channel Information ◽  
The Common ◽  
End To End

AbstractSpace-air-ground integrated networks (SAGINs) are heterogeneous, self-organizing and time-varying wireless networks providing massive and global connectivity. These three characteristics of SAGINs bring great challenges for routing design. In this paper, the important parameters affecting performance of SAGINs are analyzed, based on which the heterogeneous network framework is described as a vector weighted topology. Instead of a scale, the weighted parameter of the topology is a vector with elements of signal-to-noise ratio (SNR), variation of SNR, end-to-end delay and queuing length. To meet the time-varying requirements, a Wiener predictor is adopted for obtaining the estimated channel information, the expectation of queuing delay is also acquired by modeling the process of packets waiting the transmitting buffer as a M/M/1 queuing system. Considering the Ant Colony Optimization (ACO) algorithm sharing the common decentralized feature with routing algorithm in SAGINs, a novel ACO-based cross-layer routing algorithm for SAGINs is proposed. The proposed algorithm takes the link quality and end-to-end packed delay in the physical layer as deciding factors in searching for optimal routing. Simulations performed in different scenarios show that this proposed algorithm demonstrates a higher packet delivery rate.

scholarly journals Zero-Shot Image Classification Based on a Learnable Deep Metric

Sensors ◽  
2021 ◽  
Vol 21 (9) ◽  
pp. 3241
Author(s):  
Jingyi Liu ◽  
Caijuan Shi ◽  
Dongjing Tu ◽  
Ze Shi ◽  
Yazhi Liu
Keyword(s):  
Image Classification ◽  
Euclidean Distance ◽  
Similarity Score ◽  
Visual Features ◽  
Semantic Features ◽  
Common Space ◽  
Training Samples ◽  
Mapping Process ◽  
The Common ◽  
End To End

The supervised model based on deep learning has made great achievements in the field of image classification after training with a large number of labeled samples. However, there are many categories without or only with a few labeled training samples in practice, and some categories even have no training samples at all. The proposed zero-shot learning greatly reduces the dependence on labeled training samples for image classification models. Nevertheless, there are limitations in learning the similarity of visual features and semantic features with a predefined fixed metric (e.g., as Euclidean distance), as well as the problem of semantic gap in the mapping process. To address these problems, a new zero-shot image classification method based on an end-to-end learnable deep metric is proposed in this paper. First, the common space embedding is adopted to map the visual features and semantic features into a common space. Second, an end-to-end learnable deep metric, that is, the relation network is utilized to learn the similarity of visual features and semantic features. Finally, the invisible images are classified, according to the similarity score. Extensive experiments are carried out on four datasets and the results indicate the effectiveness of the proposed method.

scholarly journals Co-attention CNNs for Unsupervised Object Co-segmentation

2018 ◽  
Author(s):  
Kuang-Jui Hsu ◽  
Yen-Yu Lin ◽  
Yung-Yu Chuang
Keyword(s):  
State Of The Art ◽  
The State ◽  
Training Data ◽  
Specific Class ◽  
Feature Extractor ◽  
Ground Segmentation ◽  
Supervised Methods ◽  
The Common ◽  
End To End ◽  
Image Object

Object co-segmentation aims to segment the common objects in images. This paper presents a CNN-based method that is unsupervised and end-to-end trainable to better solve this task. Our method is unsupervised in the sense that it does not require any training data in the form of object masks but merely a set of images jointly covering objects of a specific class. Our method comprises two collaborative CNN modules, a feature extractor and a co-attention map generator. The former module extracts the features of the estimated objects and backgrounds, and is derived based on the proposed co-attention loss which minimizes inter-image object discrepancy while maximizing intra-image figure-ground separation. The latter module is learned to generated co-attention maps by which the estimated figure-ground segmentation can better fit the former module. Besides, the co-attention loss, the mask loss is developed to retain the whole objects and remove noises. Experiments show that our method achieves superior results, even outperforming the state-of-the-art, supervised methods.

Sign in / Sign up

Export Citation Format

Share Document