Article
Engineering, Aerospace
Stefan Notter, Fabian Schimpf, Gregor Mueller, Walter Fichter
Summary: This paper addresses the decision-making problem of balancing distance coverage and exploiting thermal updrafts in cross-country soaring flight, and proposes a control strategy using reinforcement learning. The paper presents a model based on a Markov decision process and utilizes stochastic gradient ascent to solve the hierarchical reinforcement learning problem.
JOURNAL OF GUIDANCE CONTROL AND DYNAMICS
(2022)
Article
Engineering, Aerospace
Eric J. Kim, Ruben E. Perez
Summary: The study focuses on improving the energy efficiency and flight endurance of small unmanned aerial vehicles (SUAVs) through the implementation of a neural network-based soaring strategy. It utilizes the NEAT algorithm to train efficient neurocontrollers for controlling simulated aircraft along sustained dynamic and thermal soaring trajectories, optimizing performance while preserving simplicity. This approach is suitable for real-time implementation on SUAV platforms.
Article
Engineering, Aerospace
Eric J. J. Kim, Ruben E. E. Perez
Summary: The flight endurance of small unmanned aerial vehicles can be extended through exploiting naturally occurring wind phenomena. Efficient and robust strategies are needed due to limited computational hardware and uncertain real-world environments. This study uses the Neuroevolution of Augmenting Topologies algorithm with domain randomization to train robust neurocontrollers for controlling aircraft in the presence of uncertainties and disturbances. The work presents an approach for integrating robustness in neural network control systems and quantifying and comparing robustness, as well as identifying network characteristics contributing to evolved robust behavior.
JOURNAL OF GUIDANCE CONTROL AND DYNAMICS
(2023)
Article
Engineering, Aerospace
Jiachi Zhao, Jun Li, Lifang Zeng
Summary: This study investigates the optimal strategy for an unpowered glider to harvest energy from thermal updrafts using a reinforcement learning algorithm. The experiments are conducted with a round updraft model and a high-fidelity six-degree-of-freedom glider model, while additional wind velocity differential correction and strategy symmetry methods are introduced for improved updraft perception ability.
Article
Robotics
Johannes Betz, Tobias Betz, Felix Fent, Maximilian Geisslinger, Alexander Heilmeier, Leonhard Hermansdorfer, Thomas Herrmann, Sebastian Huch, Phillip Karle, Markus Lienkamp, Boris Lohmann, Felix Nobis, Levent Oegretmen, Matthias Rowold, Florian Sauerbeck, Tim Stahl, Rainer Trauth, Frederik Werner, Alexander Wischnewski
Summary: The team from Technical University of Munich (TUM) developed a software system for autonomous racing in high-speed and high-acceleration conditions, achieving first place in Indianapolis and second place in Las Vegas using a modified Indy Lights chassis. Their algorithms for object detection, localization, planning, prediction, and control proved successful in the competition, providing valuable insights into the behavior of autonomous vehicles.
JOURNAL OF FIELD ROBOTICS
(2023)
Article
Social Issues
Mohammad Maghrour Zefreh, Belal Edries, Domokos Esztergar-Kiss
Summary: The literature emphasizes the significance of hedonic motivation in the acceptance of autonomous vehicles (AV). This study investigates the antecedents of hedonic motivation in AV adoption and finds that social influence is the strongest predictor of hedonic motivation. The analysis also reveals the impact of geographical distribution and gender on the perceived enjoyment of AV.
TECHNOLOGY IN SOCIETY
(2023)
Article
Transportation
Mauro Bellone, Azat Ismailogullari, Tommi Kantala, Sami Makinen, Ralf-Martin Soe, Milla Aman Kyyro
Summary: This paper compares user experiences of autonomous public transport across Baltic countries with the goal of gaining insight into public needs. Positive feedback on personal security and safety onboard was reported by passengers in cities like Helsinki, Tallinn, Kongsberg, and Gdansk. Men tended to rate the services lower than women, indicating a need to consider gender differences in future integration of automated services with the MaaS concept.
EUROPEAN TRANSPORT RESEARCH REVIEW
(2021)
Article
Engineering, Multidisciplinary
David Angeles-Rojas, Omar-Jacobo Santos-Sanchez, Sergio Salazar, Rogelio Lozano
Summary: In this paper, a suboptimal nonlinear discrete control method is proposed and implemented in an autonomous soaring UAV to improve energy consumption and performance. The general expressions for this controller are derived from the continuous nonlinear guidance model of a fixed-wing UAV and applied in a multiloop control structure. Simulation results and a comparative study validate the effectiveness of this method.
MATHEMATICAL PROBLEMS IN ENGINEERING
(2022)
Article
Social Issues
Deniz Guvercin
Summary: The research findings suggest that digital adoption by the business sector increases the likelihood of populist rhetoric, while decreasing levels of democracy and increasing corruption further drive populism. Digitalization has an impact on both left-wing and right-wing political parties in increasing populism.
TECHNOLOGY IN SOCIETY
(2022)
Article
Development Studies
Kine Josefine Aurland-Bredesen
Summary: The paper estimates the welfare costs of uncertainty for six different economic groups of countries, finding that within each group, the welfare gains of growth and the welfare costs of uncertainty are generally in the same magnitude. However, small increases in growth may have a more significant impact on the welfare costs of uncertainty than large decreases in uncertainty.
Article
Economics
Volha Audzei
Summary: This paper examines the limited international spillovers in estimated multi-country dynamic stochastic general equilibrium models with trade. The study shows that introducing adaptive learning with time-varying coefficients and simple forecasting models can increase the international correlation.
ECONOMIC MODELLING
(2023)
Article
Engineering, Industrial
Oskar Kowalewski, Pawel Pisany
Summary: We investigated the country determinants that encourage the establishment and activity of financial technology (fintech) companies. We found that countries witnessed more fintech start-up formation when access to bank loans was limited, indicating that fintech companies help underserved markets. In this paper, we show that countries' technological adoption is important, as technological advancements, the quality of research, and the level of university-industry collaboration are positively related to fintech development. Additionally, we confirm that fintech companies may find the quality and stringency of regulations obstacles to their development. Finally, we show that some determinants of fintech development differ between developed and developing countries.
Article
Environmental Studies
Annarita Colasante, Idiano D'Adamo, Piergiuseppe Morone, Paolo Rosa
Summary: This study proposes a new Waste Circularity Index (WCI) to measure the performance of waste management, and the results show variations in waste circularity among different European member states.
ENVIRONMENTAL IMPACT ASSESSMENT REVIEW
(2022)
Review
Energy & Fuels
M. Gonzalez-Torres, L. Perez-Lombard, J. F. Coronel, I. R. Maestre
Summary: Efficiency improvements in energy intensity have been mainly driven by demand side factors, while emerging economies have worsened their energy sector efficiency on the supply side. Changes in fuel mixes have generally contributed to energy intensity reductions positively.
Article
Business, Finance
Simon Doering, Wolfgang Drobetz, Sadok El Ghoul, Omrane Guedhami, Henning Schroeder
Summary: Based on a large dataset of firms from 35 countries, the study explores the country-level determinants of institutional investors' investment horizons. It reveals that an equity investor-friendly institutional environment, cultural environment, and economic policy uncertainty play significant roles in shaping investor horizons. Long-term investors prioritize a favorable institutional environment while short-term investors show less concern for these factors.
FINANCE RESEARCH LETTERS
(2021)
Article
Computer Science, Information Systems
Di Zhu, Ewan G. D. Pritchard, Larry M. Silverberg
IEEE SYSTEMS JOURNAL
(2018)
Article
Engineering, Aerospace
Larry Silverberg, Blaine Levedahl
Article
Engineering, Multidisciplinary
Jeremy Morton, Larry Silverberg
APPLIED MATHEMATICAL MODELLING
(2009)
Article
Computer Science, Interdisciplinary Applications
Colin E. Tschida, Larry M. Silverberg
COMPUTERS & STRUCTURES
(2013)
Article
Engineering, Civil
Blaine A. Levedahl, L. Silverberg
IEEE JOURNAL OF OCEANIC ENGINEERING
(2009)
Article
Sport Sciences
Chau M. Tran, Larry M. Silverberg
JOURNAL OF SPORTS SCIENCES
(2008)
Article
Physics, Multidisciplinary
Larry M. Silverberg, Jeffrey W. Eischen
Article
Engineering, Multidisciplinary
Stephen Coppola, Larry M. Silverberg
Summary: This article introduces the R-2 Fill method, which is an algorithm for isotropically filling a region with particles, tested geometrically and mechanically using the Discrete Element Method (DEM). It simplifies implementation compared to other methods and shows competitive metrics. The method's mechanical isotropy was validated to be within 2% error for various properties such as elastic moduli and shear moduli.
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING
(2021)
Article
Mechanics
Tushar Mollik, Scott Kennedy, Md Raf E. Ul Shougat, Xiaofu Li, Timothy Fitzgerald, Scott Echols, Nick Kirk, Larry Silverberg, Edmon Perkins
Summary: This article introduces a simulator that uses the discrete element method to model the biomechanical linkage of bones, tendons, and ligaments. The simulator constructs the biomechanical linkage based on CT scans of bones and approximates the nonlinear dynamics using the discrete element method. The simulation results show the dynamics of a hallux digit and the distribution of forces within the joint. This method can be applied to more complex biomechanical linkages and is computationally favorable compared to finite element methods.
MULTIBODY SYSTEM DYNAMICS
(2022)
Article
Engineering, Aerospace
Larry M. Silverberg, Jeffrey W. Eischen
Summary: This paper introduces a newly developed formulation of relativistic mechanics called spacetime impetus, which can predict the trajectory of spacecraft traveling at relativistic speeds near gravitational sources. By updating nonrelativistic mission planning codes with relativistic velocities and accelerations, replacing the universal law of gravitation with a relativistic one, and incorporating Lorentz transformations between frames, analysts can enhance these codes with advanced general relativistic capabilities.
JOURNAL OF SPACECRAFT AND ROCKETS
(2023)
Article
Multidisciplinary Sciences
Marlice vanVuuren, Rudie vanVuuren, Larry M. Silverberg, Joe Manning, Krishna Pacifici, Werner Dorgeloh, Jennifer Campbell
Summary: This article examines the relationship between the behavior of ungulate species and the presence of unmanned aerial vehicles (UAVs), based on factors such as altitude, number of passes, sound intensity, type of UAV, takeoff distance, and species. The research shows that certain species are more reactive than others, and that the response of ungulates to UAVs varies in single or mixed herd environments. The study also reveals that flight altitude has a stronger correlation with response than other factors.
Article
Engineering, Aerospace
Thomas C. Powers, Larry M. Silverberg, Ashok Gopalarathnam
JOURNAL OF GUIDANCE CONTROL AND DYNAMICS
(2020)
Article
Sport Sciences
Larry M. Silverberg, Chau M. Tran, Christopher Laue
SPORTS ENGINEERING
(2018)
Article
Social Sciences, Mathematical Methods
Larry M. Silverberg, Chau M. Tran, Taylor M. Adams
JOURNAL OF QUANTITATIVE ANALYSIS IN SPORTS
(2011)