Controlled Retention and Release of Biomolecular Transport Systems Using Shape-Changing Polymer Bilayers

2016 ◽  
Vol 128 (52) ◽  
pp. 16340-16343 ◽  
Author(s):  
Georgi Stoychev ◽  
Cordula Reuther ◽  
Stefan Diez ◽  
Leonid Ionov
Keyword(s):  
Transport Systems ◽  
Polymer Bilayers

Controlled Retention and Release of Biomolecular Transport Systems Using Shape-Changing Polymer Bilayers

2016 ◽  
Vol 55 (52) ◽  
pp. 16106-16109 ◽  
Author(s):  
Georgi Stoychev ◽  
Cordula Reuther ◽  
Stefan Diez ◽  
Leonid Ionov
Keyword(s):  
Transport Systems ◽  
Polymer Bilayers

Modernism, Space and the City

2019 ◽  
Author(s):  
Andrew Thacker
Keyword(s):  
Built Environment ◽  
Joseph Conrad ◽  
Jean Rhys ◽  
Transport Systems ◽  
Cultural Institutions ◽  
European Cities ◽  
Blaise Cendrars ◽  
Stephen Spender ◽  
Christopher Isherwood ◽  
The City

This innovative book examines the development of modernism in four European cities: London, Paris, Berlin, and Vienna. Focusing upon how literary and cultural outsiders represented various spaces in these cities, it draws upon contemporary theories of affect, mood, and literary geography to offer an original account of the geographical emotions of modernism. It considers three broad features of urban modernism: the built environment of the particular cities, such as cafés or transport systems; the cultural institutions of publishing that underpinned the development of modernism in these locations; and the complex perceptions of writers and artists who were outsiders to the four cities. Particular attention is thus given to the transnational qualities of modernism by examining figures whose view of the cities considered is that of migrants, exiles, or strangers. The writers and artists discussed include Mulk Raj Anand, Gwendolyn Bennett, Bryher, Blaise Cendrars, Joseph Conrad, T. S. Eliot, Christopher Isherwood, Hope Mirlees, Noami Mitchison, Jean Rhys, Sam Selon, and Stephen Spender.

A Comprehensive Study on Intelligent Transportation Systems

2018 ◽  
Vol 4 (10) ◽  
pp. 10
Author(s):  
Ankur Mishra ◽  
Aayushi Priya
Keyword(s):  
Intelligent Transportation Systems ◽  
Traffic Congestion ◽  
Transportation Systems ◽  
Environmental Conservation ◽  
Integrated System ◽  
Transport Systems ◽  
Transport Sector ◽  
Intelligent Transport System ◽  
Intelligent Transport ◽  
Transportation Sector

Transportation or transport sector is a legal source to take or carry things from one place to another. With the passage of time, transportation faces many issues like high accidents rate, traffic congestion, traffic & carbon emissions air pollution, etc. In some cases, transportation sector faced alleviating the brutality of crash related injuries in accident. Due to such complexity, researchers integrate virtual technologies with transportation which known as Intelligent Transport System. Intelligent Transport Systems (ITS) provide transport solutions by utilizing state-of-the-art information and telecommunications technologies. It is an integrated system of people, roads and vehicles, designed to significantly contribute to improve road safety, efficiency and comfort, as well as environmental conservation through realization of smoother traffic by relieving traffic congestion. This paper aims to elucidate various aspects of ITS - it's need, the various user applications, technologies utilized and concludes by emphasizing the case study of IBM ITS.

Multiple vehicles detection and tracking for intelligent transport systems using machine learning approaches

2019 ◽  
Vol 70 (3) ◽  
pp. 214-224
Author(s):  
Bui Ngoc Dung ◽  
Manh Dzung Lai ◽  
Tran Vu Hieu ◽  
Nguyen Binh T. H.
Keyword(s):  
Machine Learning ◽  
Gaussian Mixture ◽  
Research Field ◽  
Transport Systems ◽  
Learning Approaches ◽  
Subtraction Method ◽  
Intelligent Transport Systems ◽  
Intelligent Transport ◽  
Detection And Tracking ◽  
Multiple Vehicles

Video surveillance is emerging research field of intelligent transport systems. This paper presents some techniques which use machine learning and computer vision in vehicles detection and tracking. Firstly the machine learning approaches using Haar-like features and Ada-Boost algorithm for vehicle detection are presented. Secondly approaches to detect vehicles using the background subtraction method based on Gaussian Mixture Model and to track vehicles using optical flow and multiple Kalman filters were given. The method takes advantages of distinguish and tracking multiple vehicles individually. The experimental results demonstrate high accurately of the method.

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