scholarly journals Infrastructure sensing

2016 ◽  
Vol 6 (4) ◽  
pp. 20160023 ◽  
Author(s):  
Kenichi Soga ◽  
Jennifer Schooling
Keyword(s):  
Embedded Sensors ◽  
Wireless Sensor ◽  
Fibre Optics ◽  
Design Life ◽  
Assessment And Monitoring ◽  
Rich Information ◽  
The Rich ◽  
Construction Operation ◽  
Civil Engineering Infrastructure ◽  
Design Construction

Design, construction, maintenance and upgrading of civil engineering infrastructure requires fresh thinking to minimize use of materials, energy and labour. This can only be achieved by understanding the performance of the infrastructure, both during its construction and throughout its design life, through innovative monitoring. Advances in sensor systems offer intriguing possibilities to radically alter methods of condition assessment and monitoring of infrastructure. In this paper, it is hypothesized that the future of infrastructure relies on smarter information; the rich information obtained from embedded sensors within infrastructure will act as a catalyst for new design, construction, operation and maintenance processes for integrated infrastructure systems linked directly with user behaviour patterns. Some examples of emerging sensor technologies for infrastructure sensing are given. They include distributed fibre-optics sensors, computer vision, wireless sensor networks, low-power micro-electromechanical systems, energy harvesting and citizens as sensors.

scholarly journals ANALYSIS OF THE CAUSES OF ACCIDENTS AT DIFFERENT STAGES OF LIFE CYCLE OF THE CONSTRUCTION OBJECT

2020 ◽  
pp. 17-22
Author(s):  
A. Lapina ◽  
A. Ponomarenko ◽  
K. Shencova ◽  
A. Kotesova
Keyword(s):  
Life Cycle ◽  
Russian Federation ◽  
Load Bearing ◽  
Life Cycle Design ◽  
The Russian Federation ◽  
Hydrogeological Studies ◽  
Construction Operation ◽  
Design Construction ◽  
Insufficient Number

the article deals with the main causes of accidents of buildings and structures that occurred due to errors made at different stages of their life cycle (design, construction, operation). A brief analysis of the accidents that occurred from 2010 to 2017 in the Russian Federation is presented. The study of the causes of accidents makes it possible to understand better the laws of structures, buildings and structures, to identify errors that lead to emergencies. Such errors include: low quality of construction and installation works, deviation from the project in the construction of buildings and structures, the use of materials of inadequate quality, overload of load-bearing structures during operation. Also, the causes of accidents include defective engineering-geological and hydrogeological studies of the grounds. Analysis of accidents showed that the last few years there is no tendency to reduce the number of accidents of buildings and structures, which indicates an insufficient number of measures to prevent them. In the article the authors consider the examples of accidents in construction, which occurred due to the main reasons, and ways to prevent accidents in the future.

scholarly journals Excavating awareness and power in data science: A manifesto for trustworthy pervasive data research

2021 ◽  
Vol 8 (2) ◽  
pp. 205395172110407
Author(s):  
Katie Shilton ◽  
Emanuel Moss ◽  
Sarah A. Gilbert ◽  
Matthew J. Bietz ◽  
Casey Fiesler ◽  
...  
Keyword(s):  
Data Science ◽  
Methodological Approach ◽  
Digital Data ◽  
Colonial Legacy ◽  
Research Scholarship ◽  
History Of ◽  
Rich Information ◽  
The Rich ◽  
Relationship Of ◽  
The Relationship

Frequent public uproar over forms of data science that rely on information about people demonstrates the challenges of defining and demonstrating trustworthy digital data research practices. This paper reviews problems of trustworthiness in what we term pervasive data research: scholarship that relies on the rich information generated about people through digital interaction. We highlight the entwined problems of participant unawareness of such research and the relationship of pervasive data research to corporate datafication and surveillance. We suggest a way forward by drawing from the history of a different methodological approach in which researchers have struggled with trustworthy practice: ethnography. To grapple with the colonial legacy of their methods, ethnographers have developed analytic lenses and researcher practices that foreground relations of awareness and power. These lenses are inspiring but also challenging for pervasive data research, given the flattening of contexts inherent in digital data collection. We propose ways that pervasive data researchers can incorporate reflection on awareness and power within their research to support the development of trustworthy data science.

Poet as Anthropologist—“European Paideuma”

2020 ◽  
pp. 125-144
Author(s):  
Massimo Bacigalupo
Keyword(s):  
Rich Information ◽  
The Rich ◽  
The Cantos ◽  
Religious Elements

In 1939 Pound was planning a finale for The Cantos that would present religious elements. In the process he wrote a paper, “European Paideuma,” which remained unpublished because of the war. This article is reprinted here and mined for the rich information it offers about notions and particular rituals alluded to in The Cantos.

scholarly journals HIPSTER

2019 ◽  
Vol 214 ◽  
pp. 06027
Author(s):  
Adrian Bevan ◽  
Thomas Charman ◽  
Jonathan Hays
Keyword(s):  
Neural Networks ◽  
High Energy Physics ◽  
High Energy ◽  
Event Recognition ◽  
The Core ◽  
Rich Information ◽  
The Rich ◽  
Core Functionality ◽  
Python Package ◽  
Energy Physics

HIPSTER (Heavily Ionising Particle Standard Toolkit for Event Recognition) is an open source Python package designed to facilitate the use of TensorFlow in a high energy physics analysis context. The core functionality of the software is presented, with images from the MoEDAL experiment Nuclear Track Detectors (NTDs) serving as an example dataset. Convolutional neural networks are selected as the classification algorithm for this dataset and the process of training a variety of models with different hyper-parameters is detailed. Next the results are shown for the MoEDAL problem demonstrating the rich information output by HIPSTER that enables the user to probe the performance of their model in detail.

scholarly journals Dual Path Attention Net for Remote Sensing Semantic Image Segmentation

2020 ◽  
Vol 9 (10) ◽  
pp. 571
Author(s):  
Jinglun Li ◽  
Jiapeng Xiu ◽  
Zhengqiu Yang ◽  
Chen Liu
Keyword(s):  
Remote Sensing ◽  
Spatial Information ◽  
Semantic Segmentation ◽  
Remote Sensing Images ◽  
Convolutional Networks ◽  
Fully Convolutional Networks ◽  
Augmentation Strategies ◽  
Rich Information ◽  
The Mean ◽  
The Rich

Semantic segmentation plays an important role in being able to understand the content of remote sensing images. In recent years, deep learning methods based on Fully Convolutional Networks (FCNs) have proved to be effective for the sematic segmentation of remote sensing images. However, the rich information and complex content makes the training of networks for segmentation challenging, and the datasets are necessarily constrained. In this paper, we propose a Convolutional Neural Network (CNN) model called Dual Path Attention Network (DPA-Net) that has a simple modular structure and can be added to any segmentation model to enhance its ability to learn features. Two types of attention module are appended to the segmentation model, one focusing on spatial information the other focusing upon the channel. Then, the outputs of these two attention modules are fused to further improve the network’s ability to extract features, thus contributing to more precise segmentation results. Finally, data pre-processing and augmentation strategies are used to compensate for the small number of datasets and uneven distribution. The proposed network was tested on the Gaofen Image Dataset (GID). The results show that the network outperformed U-Net, PSP-Net, and DeepLab V3+ in terms of the mean IoU by 0.84%, 2.54%, and 1.32%, respectively.

Mapping aboriginal tourism experiences in Taiwan: A case of the Formosan Aboriginal Culture Village

2020 ◽  
pp. 135676672095034
Author(s):  
Weisheng Chiu ◽  
Heetae Cho
Keyword(s):  
Lived Experience ◽  
Marketing Strategies ◽  
User Generated Content ◽  
Text Data ◽  
Tourism Product ◽  
Level Of Satisfaction ◽  
Aboriginal Culture ◽  
Tourist Experience ◽  
Rich Information ◽  
The Rich

Exploring tourist experience through analyzing user-generated content (UGC) has been considered as an appropriate approach for experience studies due to the rich information from the perspective of tourists. Thus, this study identified the conceptual map of individuals’ aboriginal tourism experiences by analyzing UGC, including photos and texts. A total of 206 photos and 278 reviews posted by tourists on TripAdvisor were collected and analyzed. Photo content analysis showed that aboriginal culture emerged as the most indelible experience for visitors. Analysis of text data disclosed key themes: park, tribe, car, garden, and children. Further analysis found different patterns in tourist experiences across numerous travel parties and satisfaction levels. This study explored tourists’ narratives and identified important concepts and themes of their ‘lived experience’ of aboriginal tourism. The findings of this study contribute to expanding theoretical knowledge by introducing innovative analytic techniques. Practically, this study offers a blueprint for designing the aboriginal tourism product, which can optimize the tourist experience. In addition, the differences in tourist experience with regard to travel party and level of satisfaction suggest specific marketing strategies for different segments.

Reducing Human Error Using a Human Factors Life Cycle Approach

2014 ◽  
Author(s):  
Lorna Harron ◽  
Dennis Attwood
Keyword(s):  
Life Cycle ◽  
Human Factors ◽  
Human Error ◽  
Safety Performance ◽  
Life Cycle Approach ◽  
Operation And Maintenance ◽  
Maintenance Program ◽  
Construction Operation ◽  
Design Construction ◽  
Human Component

Reduction of human error can have a significant impact on the potential for spills and leaks and translate into better safety performance and financial gains for an organization. As important as the technical components of a design, construction, operation, and maintenance program is the human component of the activities being performed. In the Pipeline Industry, human factors can create the potential for a human error at many points along the life cycle of a pipeline. Using a life cycle approach to manage human factors can provide an organization the capability to integrate human factors into programs, standards, procedures and processes using a disciplined approach. This paper reviews the life cycle of a pipeline and identifies areas where the potential for human error can have catastrophic results. Guidance is provided on the development of a human factors life cycle for the organization and illustrates available industry resources as well as opportunities for further research and development.

scholarly journals The Management of Sustainable Development at Malaysian Local Government: Stakeholders’ Perception

2015 ◽  
Vol 773-774 ◽  
pp. 1220-1225
Author(s):  
Sulzakimin Mohamed ◽  
Seow Ta Wee ◽  
Goh Kai Chen ◽  
Md Asrul Nasid Masrom ◽  
Mohd Hilmi Izwan Abd Rahim
Keyword(s):  
Sustainable Development ◽  
Local Government ◽  
Built Environment ◽  
Local Governments ◽  
The Sustainable Development ◽  
Construction Operation ◽  
Relevant Factors ◽  
Design Construction

Sustainable development has become an important aspect of the construction industries. There are many ways sustainability elements can be incorporated in the design, construction, operation and deconstruction of a building. Importantly sustainability represents the link between society and built environment professionals. In relation to that, this study involves a look at the stakeholders outlook and interaction with sustainability. In this study, the focus will be aimed on the role of the Local Governments and how the perception of the stakeholders. Therefore, this study intend to look into the sustainable development and better understanding the strength and weaknesses and other relevant factors that promote or hinder the Sustainable Development. This study is to contribute to the enrichment of knowledge on the role of Local Governments in Sustainable Development. Therefore, this research seeks to find out whether sustainable development is being practiced and seeks to find out what is happening with respect to issues of what, how and why things are being done with the development of Sustainable Development globally and in Malaysia in general.

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