Sidewalk extraction using aerial and street view images

2021 ◽  
pp. 239980832199581
Author(s):  
Huan Ning ◽  
Xinyue Ye ◽  
Zhihui Chen ◽  
Tao Liu ◽  
Tianzhi Cao
Keyword(s):  
Physical Activity ◽  
Neural Networks ◽  
Urban Environment ◽  
Social Cohesion ◽  
Data Sources ◽  
Aerial Images ◽  
Complete Network ◽  
Street View ◽  
The U.S

A reliable, punctual, and spatially accurate dataset of sidewalks is vital for identifying where improvements can be made upon urban environment to enhance multi-modal accessibility, social cohesion, and residents' physical activity. This paper develops a synthetically new spatial procedure to extract the sidewalk by integrating the detected results from aerial and street view imagery. We first train neural networks to extract sidewalks from aerial images, and then use pre-trained models to restore occluded and missing sidewalks from street view images. By combining the results from both data sources, a complete network of sidewalks can be produced. Our case study includes four counties in the U.S., and both precision and recall reach about 0.9. The street view imagery helps restore the occluded sidewalks and largely enhances the sidewalk network's connectivity by linking 20% of dangles.

To Snitch or Not to Snitch? Applying the Concept of Neutralization Techniques to the Enforcement of Occupational Misconduct

2003 ◽  
Vol 46 (2) ◽  
pp. 149-178 ◽  
Author(s):  
Jana L. Pershing
Keyword(s):  
Self Regulation ◽  
Data Sources ◽  
Sociological Research ◽  
Naval Academy ◽  
Organizational Settings ◽  
Semistructured Interviews ◽  
Neutralization Techniques ◽  
The Impact ◽  
The U.S

The controversy over self-regulation has been a central topic of inquiry in sociological research on occupational misconduct and crime. However, few studies have examined the process by which organizational members decide whether to respond to the misconduct of peers, and none have examined the use of neutralization techniques by rule enforcers in organizational settings. The research presented here is based on a case study of the U.S. Naval Academy. Three data sources are analyzed: Survey data collected from Academy midshipmen, semistructured interviews with graduates, and official statistics on occupational misconduct. Findings reveal that Academy members employ a number of neutralization techniques depending on whether they counsel peers, report peers, or choose not to respond to misconduct. Midshipmen who counsel are appealing to peer loyalty, while those who report wrongdoing find themselves neutralizing the effects of violating informal norms about peer loyalty. In contrast, those who ignore misconduct must neutralize the potential effects of betraying loyalty to the institution. In addition to calling for the expansion of neutralization techniques research to include rule enforcers, the implications of this study suggest that the concept be refined to examine the impact of conflicting loyalties on the types of neutralization techniques employed in systems of self-regulation.

scholarly journals Heap Leach Pad Surface Moisture Monitoring Using Drone-Based Aerial Images and Convolutional Neural Networks: A Case Study at the El Gallo Mine, Mexico

2021 ◽  
Vol 13 (8) ◽  
pp. 1420
Author(s):  
Mingliang Tang ◽  
Kamran Esmaeili
Keyword(s):  
Neural Networks ◽  
Convolutional Neural Networks ◽  
Aerial Images ◽  
Reagent Solution ◽  
Monitoring Method ◽  
Surface Moisture ◽  
Heap Leach ◽  
Technical Manpower ◽  
Operational Issues

An efficient metal recovery in heap leach operations relies on uniform distribution of leaching reagent solution over the heap leach pad surface. However, the current practices for heap leach pad (HLP) surface moisture monitoring often rely on manual inspection, which is labor-intensive, time-consuming, discontinuous, and intermittent. In order to complement the manual monitoring process and reduce the frequency of exposing technical manpower to the hazardous leaching reagent (e.g., dilute cyanide solution in gold leaching), this manuscript describes a case study of implementing an HLP surface moisture monitoring method based on drone-based aerial images and convolutional neural networks (CNNs). Field data collection was conducted on a gold HLP at the El Gallo mine, Mexico. A commercially available hexa-copter drone was equipped with one visible-light (RGB) camera and one thermal infrared sensor to acquire RGB and thermal images from the HLP surface. The collected data had high spatial and temporal resolutions. The high-quality aerial images were used to generate surface moisture maps of the HLP based on two CNN approaches. The generated maps provide direct visualization of the different moisture zones across the HLP surface, and such information can be used to detect potential operational issues related to distribution of reagent solution and to facilitate timely decision making in heap leach operations.

Digital pattern of life based tourist behaviour analysis system

2020 ◽  
Vol 5 ◽  
pp. 78-83
Author(s):  
S.A. Mikhailov ◽  
Keyword(s):  
Neural Networks ◽  
Tourism Industry ◽  
Data Sources ◽  
Tourist Behavior ◽  
Behaviour Analysis ◽  
Travel Experience ◽  
Digital Pattern ◽  
Analysis System ◽  
Tourist Behaviour ◽  
Tourism Services

The tourism industry has grown rapidly in recent years, and IT technology is also having a big impact on tourists. Tourism services, information generated by tourists and other sources can be used to build models of tourist behavior. These models can improve the travel experience in various ways. The author presents the system for analyzing tourist behavior based on the concept of a digital pattern of life. The system determines the tourist, possible data sources, ways of storing and presenting data, as well as tools for analyzing behavior. The author used artifi cial neural networks to analyze behavior from a dataset of tourist travels made with cars. One scenario of tourist behavior using artifi cial neural networks is presented. The collected results will be used for improving tourist services.

Withdrawn: Diabetes Mellitus Prognosis Using Fuzzy Logic and Neural Networks Case Study: Alexandria Vascular Center (AVC)

2019 ◽  
Vol 13 ◽  
Author(s):  
Abeer A. Amer ◽  
Soha M. Ismail
Keyword(s):  
Diabetes Mellitus ◽  
Neural Networks ◽  
Fuzzy Logic ◽  
Computer Science ◽  
Recent Advances ◽  
Vascular Center ◽  
Copyright Permission ◽  
Legal Right

The following article has been withdrawn on the request of the author of the journal Recent Advances in Computer Science and Communications (Recent Patents on Computer Science): Title: Diabetes Mellitus Prognosis Using Fuzzy Logic and Neural Networks Case Study: Alexandria Vascular Center (AVC) Authors: Abeer A. Amer and Soha M. Ismail* Bentham Science apologizes to the readers of the journal for any inconvenience this may cause BENTHAM SCIENCE DISCLAIMER: It is a condition of publication that manuscripts submitted to this journal have not been published and will not be simultaneously submitted or published elsewhere. Furthermore, any data, illustration, structure or table that has been published elsewhere must be reported, and copyright permission for reproduction must be obtained. Plagiarism is strictly forbidden, and by submitting the article for publication the authors agree that the publishers have the legal right to take appropriate action against the authors, if plagiarism or fabricated information is discovered. By submitting a manuscript, the authors agree that the copyright of their article is transferred to the publishers if and when the article is accepted for publication.

Free Trade on Television: The Triumph of Business Rhetoric

1992 ◽  
Vol 17 (1) ◽  
Author(s):  
Stephen Block
Keyword(s):  
Free Trade ◽  
Free Trade Agreement ◽  
Trade Agreement ◽  
Complex Issue ◽  
Le Canada ◽  
The U.S

Abstract: This paper attempts to unravel the very complex issue of balance first by addressing its historical and theoretical contexts. Then the coverage of the U.S.-Canada Free Trade Agreement (FTA) is used as a case study. Résumé: Dans cet article l'auteur s'applique à décortiquer la complexité de la controverse notion de "balance'' dans la couverture médiatique. Il la place d'abord dans son contexte historique et théorique. Il s'appuie, ensuite, comme exemple, sur le suivi que les médias ont fait autour des pourparlers et de l'entente du libre-échange entre le Canada et les États-Unis.

Designing for Dissemination in Chronic Disease Prevention and Management

2017 ◽  
Author(s):  
Neville Owen ◽  
Ana Goode ◽  
Takemi Sugiyama ◽  
Mohammad Javad Koohsari ◽  
Genevieve Healy ◽  
...  
Keyword(s):  
Physical Activity ◽  
Chronic Disease ◽  
Cost Effectiveness ◽  
Health Behavior Change ◽  
The Other ◽  
Research Quality ◽  
Policy Initiatives ◽  
Rigorous Study ◽  
Behavior Change Program

This chapter emphasizes the need for research that is designed and implemented explicitly with dissemination in mind. This is illustrated in relation to environmental and policy initiatives to influence physical activity through active transport, and through the example of initiatives to reduce workplace sitting. The other element of this chapter, the broad-reach intervention-dissemination case study of a health behavior-change program, highlights the need to maintain key elements of research quality in designing for dissemination, to the extent that is practically possible: a rigorous study design; the systematic tracking of implementation and related costs; and, the conduct of dose-response, maintenance and cost-effectiveness analyses. These examples of designing for dissemination illustrate not only the exciting opportunities for real-world dissemination research, but also the resourcefulness and commitment required for success.

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