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Institution

Norwegian University of Science and Technology

EducationTrondheim, Norway
About: Norwegian University of Science and Technology is a education organization based out in Trondheim, Norway. It is known for research contribution in the topics: Population & Computer science. The organization has 23182 authors who have published 68917 publications receiving 1929313 citations. The organization is also known as: NTNU & Norwegian University of Science and Technology (NTNU).


Papers
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Journal ArticleDOI
TL;DR: This work considers the additional objective of singularity avoidance, which is essential to avoid loss of controllability in some applications, leading to a nonconvex nonlinear program, and suggests a sequential quadratic programming approach, solving at each sample a convex quadRatic program approximating the non linear program.
Abstract: Control allocation problems can be formulated as optimization problems, where the objective is typically to minimize the use of control effort (or power) subject to actuator rate and position constraints, and other operational constraints. Here we consider the additional objective of singularity avoidance, which is essential to avoid loss of controllability in some applications, leading to a nonconvex nonlinear program. We suggest a sequential quadratic programming approach, solving at each sample a convex quadratic program approximating the nonlinear program. The method is illustrated by simulated maneuvers for a marine vessel equipped with azimuth thrusters. The example indicates reduced power consumption and increased maneuverability as a consequence of the singularity-avoidance.

350 citations

Journal ArticleDOI
TL;DR: In this article, a new concept is discussed along general lines, which consists of a first stage in which a maximal sludge production is achieved, in this way COD is removed as sludge and aeration requirements minimized.

347 citations

Journal ArticleDOI
TL;DR: In this article, the authors compared the level of CO2 emission caused by the construction activities globally by using the world environmental input-output table 2009 and analyzed CO2 emissions of construction sector in 40 countries, considering 26 kinds of energy use and non-energy use.
Abstract: The construction sector delivers the infrastructure and buildings to the society by consumption large amount of unrenewable energy. Consequently, this consumption causes the large emission of CO2. This paper explores and compares the level of CO2 emission caused by the construction activities globally by using the world environmental input-output table 2009. It analyses CO2 emission of construction sector in 40 countries, considering 26 kinds of energy use and non-energy use. Results indicate: 1) the total CO2 emission of the global construction sector was 5.7 billion tons in 2009, contributing 23% of the total CO2 emissions produced by the global economics activities. 94% of the total CO2 from the global construction sector are indirect emission. 2) Gasoline, diesel, other petroleum products and light fuel oil are four main energy sources for direct CO2 emission of global construction sector. The indirect CO2 emission mainly stems from hard coal, nature gas, and non-energy use. 3) The emerging economies cause nearly 60% of the global construction sector total CO2 emission. China is the largest contributor. Moreover, the intensities of construction sector’s direct and indirect CO2 emission in the developing countries are larger than the value in the developed countries. Therefore, promoting the development and use of the low embodied carbon building material and services, the energy efficiency of construction machines, as well as the renewable energy use are identified as three main pivotal opportunities to reduce the carbon emissions of the construction sector.

347 citations

Journal ArticleDOI
TL;DR: In this paper, the authors explore how the content of the verbalized message accompanying the car's autonomous action affects the driver's attitude and safety performance and suggest that car makers need to attend not only to the design of autonomous actions but also to the right way to explain these actions to the drivers.
Abstract: This study explores, in the context of semi-autonomous driving, how the content of the verbalized message accompanying the car’s autonomous action affects the driver’s attitude and safety performance. Using a driving simulator with an auto-braking function, we tested different messages that provided advance explanation of the car’s imminent autonomous action. Messages providing only “how” information describing actions (e.g., “The car is braking”) led to poor driving performance, whereas “why” information describing reasoning for actions (e.g., “Obstacle ahead”) was preferred by drivers and led to better driving performance. Providing both “how and why” resulted in the safest driving performance but increased negative feelings in drivers. These results suggest that, to increase overall safety, car makers need to attend not only to the design of autonomous actions but also to the right way to explain these actions to the drivers.

347 citations

Journal ArticleDOI
TL;DR: Geis et al. as discussed by the authors showed that the stable category of Cohen-Macaulay modules is 3-Calabi-Yau, and generalized the results to d-calabi-yau.

347 citations


Authors

Showing all 23610 results

NameH-indexPapersCitations
George Davey Smith2242540248373
Gonçalo R. Abecasis179595230323
Dorret I. Boomsma1761507136353
Hua Zhang1631503116769
Johan G. Eriksson1561257123325
Anders M. Dale156823133891
Michael Boehnke152511136681
William A. Goddard1511653123322
F. K. Hansen132381102869
Gideon Koren129199481718
Adrian Bauman127106191151
Carlos A. Camargo125128369143
Douglas T. Golenbock12331761267
Thomas H. Marwick121106358763
John A. Tainer11949348069
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023227
2022729
20215,807
20205,516
20195,078
20184,532