Article
Computer Science, Software Engineering
Alberto Robles-Enciso, Ricardo Robles-Enciso, Antonio F. Skarmeta
Summary: Due to the difficulties of testing in real environments, simulators are necessary to comprehensively evaluate algorithms in a realistic simulated context at a low cost. This paper presents a Java-based simulator that allows users to define energy sources and services, test different algorithms, run procedural simulations, and independently optimize energy management and service control.
Article
Computer Science, Information Systems
Yanan Zhang, Yuqiao Ning, Chao Ma, Longhai Yu, Zhen Guo
Summary: This paper examines the unique characteristics and challenges of open-source software in automotive vehicles. By analyzing real-world examples and case studies, it is found that automotive firmware contains a significant number of open-source components, with a majority being specific to automotive systems. The results of this research provide valuable recommendations for improving automotive security through the building of a database of automotive-specific open-source libraries.
Article
Computer Science, Information Systems
Dinis Barroqueiro Cruz, Joao Rafael Almeida, Jose Luis Oliveira
Summary: This article introduces three main approaches to application security: Static Application Security Testing (SAST), Dynamic Application Security Testing (DAST), and Software Composition Analysis (SCA). It proposes a baseline comparison model to help select the best solutions and discusses future opportunities and challenges in application security. A workflow for vulnerability assessment is also proposed.
Article
Engineering, Biomedical
Mingye Wu, Paul FitzGerald, Jiayong Zhang, W. Paul Segars, Hengyong Yu, Yongshun Xu, Bruno De Man
Summary: This paper introduces the development of an open-access simulation environment for X-ray-based imaging, aiming to accelerate the development of new imaging technologies. The XCIST toolset developed in this work provides high modeling capabilities and ease of use, which can help researchers to accelerate and improve their research in X-ray and CT.
PHYSICS IN MEDICINE AND BIOLOGY
(2022)
Article
Green & Sustainable Science & Technology
N. Mbuli, W. S. Ngaha
Summary: This paper presents a survey on the application of the Big Bang Big Crunch algorithm in solving power system optimization problems. The authors found that the algorithm has been extensively used and researchers have introduced variants and hybrids to improve its capability.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2022)
Review
Computer Science, Information Systems
Mohamed Rahouti, Kaiqi Xiong, Yufeng Xin, Senthil Kumar Jagatheesaperumal, Moussa Ayyash, Maliha Shaheed
Summary: Software-Defined Networking (SDN) is a networking paradigm that enables dynamic and flexible configuration of networks by separating the control plane and data plane. SDN provides solutions for managing high-demand resources, unpredictable data traffic patterns, and network security. However, it also faces traditional security threats and introduces new vulnerabilities. This paper conducts a comprehensive survey on SDN's core functionality and proposes measures to address the challenges in securing SDN-based communications, along with categorizing threat solutions at different layers. Security implications and future research trends are highlighted.
Article
Mechanics
Jianyu Wang, Guojian He, Subhasish Dey, Hongwei Fang
Summary: This study investigated the interaction between flow and submerged flexible vegetation through numerical simulation, revealing the formation of alternate vortices at the flow-vegetation interface, resulting in wave-like oscillations of the vegetation canopy. The study also demonstrated the effects of flow velocity, vegetation spacing, and relative density on the characteristics of vegetation oscillations.
JOURNAL OF FLUID MECHANICS
(2022)
Article
Mechanics
Jianyu Wang, Guojian He, Subhasish Dey, Hongwei Fang
Summary: This study presents a three-dimensional numerical model for the interaction of flow with submerged flexible vegetation, successfully simulating the interaction between flow and highly flexible vegetation. Experimental results validate the effectiveness of the numerical model in simulating velocity profiles and vegetation movement induced by flow.
JOURNAL OF FLUID MECHANICS
(2022)
Article
Construction & Building Technology
Abdillah Alwi, Mohd Faizal Mohamad, Naoki Ikegaya, Azli Abd Razak
Summary: The study investigates the influence of different eave designs on flow structure and turbulence characteristics within and above a 2D semi-open street canyon using large eddy simulation (LES). The results show that the size of vortices changes with the length and positioning of the eaves, and the turbulence statistics are strongly dependent on eave dimension and position. The presence of eaves reduces turbulence intensities and Reynolds stress by attenuating the penetration of above flow into the street canyon. The spatially-averaged profiles exhibit a dependence on the total length of eaves rather than the position of individual eave.
BUILDING AND ENVIRONMENT
(2023)
Article
Chemistry, Medicinal
Sooyoung Lee, Moonsik Song, Woojae Lim, Eunjung Song, Jongdae Han, Bo-Hyung Kim
Summary: A new TDM package, HMCtdm, was developed using Hamiltonian Monte Carlo (HMC) simulation in this study, with estimation based on the R package Torsten and Abbottbase(R) PK models. The performance of HMCtdm was assessed through internal and external validations, showing promising results and user-friendly features.
Article
Mechanics
A. -M. Shinneeb, G. Nasif, R. Balachandar
Summary: This study numerically investigates the effect of aspect ratio on the velocity field characteristics of turbulent flow in a straight open-channel. Results show that aspect ratio significantly influences the size and strength of recirculation zones in the flow.
Article
Construction & Building Technology
Huiru Zhong, Jiaxi Feng, Cho Kwong Charlie Lam, Jian Hang, Jiajia Hua, Zhongli Gu
Summary: This study investigates the integrated influences of semi-open street roofs (SOSRs) on ventilation and pedestrian-level outdoor thermal comfort in 2-D street canyons. The results show that SOSRs have a negative impact on ventilation and increase pedestrian-level outdoor temperature. Therefore, their application should be assessed before implementation.
BUILDING AND ENVIRONMENT
(2023)
Article
Mechanics
Aman G. Kidanemariam, Markus Scherer, Markus Uhlmann
Summary: In this study, the turbulent flow and sediment grain motion over a subaqueous sediment bed with two-dimensional transverse ripples were numerically investigated. The study provides novel insights into the spatial structure of the basal shear stress and its relation to the particle flow rate.
JOURNAL OF FLUID MECHANICS
(2022)
Article
Food Science & Technology
Claudio Bellia, Simona Bacarella, Marzia Ingrassia
Summary: Street food, a popular food tradition in many cities around the world, is affordable and prepared according to local preferences and culinary culture. However, it is also associated with health hazards, prompting the need for studies on food safety. This paper aims to provide a theoretical framework of the interaction between street food and food safety topics, highlighting the existence of street food safety as a research interest.
Article
Engineering, Electrical & Electronic
Anthony Kemmeugne, Amir Abiri Jahromi, Deepa Kundur
Summary: This paper investigates the resilience of pilot protection using a co-simulation platform and demonstrates that the operational technology software-defined networking greatly enhances its resilience to cyberattacks. Moreover, the paper also studies the resilience of the system against denial of service attacks in proactive mode, showing positive results.
IEEE TRANSACTIONS ON POWER DELIVERY
(2022)
Article
Automation & Control Systems
Guanru Pan, Timm Faulwasser
Summary: Dimensionality reduction of decision variables is a practical and classic method to reduce computational burden in linear and Nonlinear Model Predictive Control (NMPC). This paper proposes a general framework for effective feasibility-preserving dimensionality reduction in NMPC by decomposing the space of decision variables into active and inactive complements. Numerical examples demonstrate the efficacy of the proposed scheme.
Article
Energy & Fuels
Michael Kyesswa, Moritz Weber, Friedrich Wiegel, Jan Wachter, Simon Waczowicz, Uwe Kuehnapfel, Veit Hagenmeyer
Summary: The power system sector plays a significant role in addressing global climate change challenges through integrated solutions and flexibility measures. However, the transformation of power grids requires additional solutions to ensure stability and reliability. Power systems simulations combined with power-hardware-in-the-loop experiments provide a reliable method for studying and implementing novel solutions.
Article
Biochemical Research Methods
Martin Maska, Vladimir Ulman, Pablo Delgado-Rodriguez, Estibaliz Gomez-de-Mariscal, Tereza Necasova, Fidel A. Guerrero Pena, Tsang Ing Ren, Elliot M. Meyerowitz, Tim Scherr, Katharina Loeffler, Ralf Mikut, Tianqi Guo, Yin Wang, Jan P. Allebach, Rina Bao, Noor M. Al-Shakarji, Gani Rahmon, Imad Eddine Toubal, Kannappan Palaniappan, Filip Lux, Petr Matula, Ko Sugawara, Klas E. G. Magnusson, Layton Aho, Andrew R. Cohen, Assaf Arbelle, Tal Ben-Haim, Tammy Riklin Raviv, Fabian Isensee, Paul F. Jaeger, Klaus H. Maier-Hein, Yanming Zhu, Cristina Ederra, Ainhoa Urbiola, Erik Meijering, Alexandre Cunha, Arrate Munoz-Barrutia, Michal Kozubek, Carlos Ortiz-de-Solorzano
Summary: The Cell Tracking Challenge is a benchmarking initiative that has made significant improvements since 2017, including the creation of a new segmentation-only benchmark and the addition of diverse and complex datasets to the repository. A silver standard reference corpus has been created based on competitive results, which will benefit data-hungry deep learning-based strategies. This updated analysis provides practical conclusions for developers and users of cell segmentation and tracking algorithms, highlighting the advancements in both 2D and 3D algorithms.
Article
Metallurgy & Metallurgical Engineering
Elisabeth Birgit Schwarz, Fabian Bleier, Friedhelm Guenter, Ralf Mikut, Jean Pierre Bergmann
Summary: Ultrasonic metal welding is an attractive joining technology with high energy efficiency and solid-state joint formation. This study compares the suitability of contactless temperature measurements and vibration measurements for process monitoring of copper sheet welding. The results show that quality predictions based on temperatures are superior to those based on welding energy, and predictions based on both temperature and vibration measurements are even better. Therefore, combining temperature and vibration measurements is a good starting point for future industrial monitoring of ultrasonic metal welding processes.
WELDING IN THE WORLD
(2023)
Article
Automation & Control Systems
Goesta Stomberg, Henrik Ebel, Timm Faulwasser, Peter Eberhard
Summary: Distributed model predictive control (DMPC) is a flexible and scalable feedback control method for a wide range of systems. This article proposes a cooperative DMPC scheme for formation control of mobile robots, implemented using decentralized optimization algorithms. The combination of alternating direction method of multipliers and decentralized sequential quadratic programming allows for decentralized solving of the underlying optimal control problem with nominal convergence guarantees. Experimental results demonstrate the efficacy of DMPC for formation control and the real-time feasibility of the proposed algorithms.
CONTROL ENGINEERING PRACTICE
(2023)
Article
Thermodynamics
Anselm Erdmann, Anna Marcellan, Jan Stock, David Neuroth, Christian Utama, Michael Suriyah, Sina Steinle, Felicitas Mueller, Dominik Hering, Henning Francke, Sascha Gritzbach, Martin Henke, Noah Pflugradt, Hueseyin Cakmak, Leander Kotzur, Detlef Stolten, Thomas Leibfried, Dirk Mueller, Rutger Schlatmann, Andre Xhonneux, Veit Hagenmeyer, Carolin Ulbrich
Summary: Efforts beyond cogeneration are required for decarbonization of district multi-energy systems due to the variety of system configurations. This paper calculates various urban district configurations in Germany to tackle the decarbonization challenge, analyzing the interdependencies between the low-voltage distribution grid and district heating network. A low heat demand achieved through building refurbishment and utilizing surplus electricity from photovoltaics reduces emissions. However, the production of synthetic fuels remains a crucial challenge for achieving net-zero emissions.
ENERGY CONVERSION AND MANAGEMENT
(2023)
Article
Automation & Control Systems
Guanru Pan, Ruchuan Ou, Timm Faulwasser
Summary: This article introduces data-driven control methods for addressing measurement noise and stochastic disturbances in deterministic linear time invariant systems. By extending the deterministic fundamental lemma, it is possible to predict the statistical distributions of inputs and outputs in stochastic systems, and a data-driven uncertainty propagation method is proposed. Additionally, a conceptual framework for data-driven stochastic optimal control problems and stochastic predictive control is presented, and the effectiveness of the methods is illustrated through numerical examples.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2023)
Article
Automation & Control Systems
Guanru Pan, Ruchuan Ou, Timm Faulwasser
Summary: Data-driven stochastic predictive control scheme is proposed for LTI systems subject to unbounded additive process disturbances. A data-driven surrogate optimal control problem is constructed using a stochastic extension of the fundamental lemma and leveraging polynomial chaos expansions. Sufficient conditions for recursive feasibility and stability of the proposed scheme are provided, along with an online selection strategy of the initial condition. Numerical examples illustrate the efficacy and closed-loop properties of the proposed scheme for process disturbances governed by different distributions.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2023)
Article
Pharmacology & Pharmacy
Kai Hilpert, Christoph Rumancev, Jurnorain Gani, Dominic W. P. Collis, Paula Matilde Lopez-Perez, Vasil M. Garamus, Ralf Mikut, Axel Rosenhahn
Summary: Candida albicans is a common cause of candidiasis, and the development of resistance to antifungal drugs is a concern. A new method using BioSAXS was used to investigate the effects of antifungal compounds on the ultrastructure of C. albicans. The results suggest that certain antifungal peptides may have different modes of action.
FRONTIERS IN PHARMACOLOGY
(2023)
Article
Automation & Control Systems
Guanru Pan, Timm Faulwasser
Summary: This letter investigates the optimal control problems of unknown linear systems subject to stochastic disturbances with uncertain distributions. The uncertainty about the disturbances is described using ambiguity sets of probability measures or distributions. It is challenging to achieve stochastic optimal control since it requires knowledge of the underlying dynamics. This paper proposes a method to reformulate the distributionally robust optimal control problems with ambiguity sets as uncertain conic programs in a finite-dimensional vector space by leveraging a stochastic fundamental lemma from data-driven control and the framework of polynomial chaos expansions. The efficacy of the method is demonstrated through a numerical example.
IEEE CONTROL SYSTEMS LETTERS
(2023)
Article
Chemistry, Multidisciplinary
Sahana Sheshachala, Birgit Huber, Jan Schuetzke, Ralf Mikut, Tim Scharnweber, Carmen M. Dominguez, Hatice Mutlu, Christof M. Niemeyer
Summary: Microfluidic droplets are used to study and mimic biological systems. In this study, a new charged fluorosurfactant was synthesized to assemble DNA-modified silica nanoparticles at the interface of microfluidic droplets.
NANOSCALE ADVANCES
(2023)
Review
Automation & Control Systems
Timm Faulwasser, Ruchuan Ou, Guanru Pan, Philipp Schmitz, Karl Worthmann
Summary: This tutorial-style paper extends and broadens the formal basis for behavioral theory of stochastic linear systems by combining recent insights into stochastic and descriptor-system formulations. It proves the equivalence between the behavior of the dynamics of L2-random variables and the behavior of the dynamics of series expansion coefficients, as well as the behavior composed of sampled realization trajectories. The paper also highlights the limitations of the behavior associated with the time-evolution of statistical moments. It culminates in the formulation of the stochastic fundamental lemma for linear time-invariant systems, enabling numerically tractable formulations of data-driven stochastic optimal control.
ANNUAL REVIEWS IN CONTROL
(2023)
Article
Multidisciplinary Sciences
Vojtech Kumpost, Lennart Hilbert, Ralf Mikut
Summary: Biological oscillators are affected by stochastic fluctuations and changing environmental conditions. In populations of uncoupled oscillators, noise can enable population-level entrainment for a wider range of input amplitudes and periods. This study found that increasing noise intensity in a population of a sufficient number of oscillators results in faster entrainment after a phase change of the input signal and increased sensitivity to low-amplitude input signals.
JOURNAL OF THE ROYAL SOCIETY INTERFACE
(2023)
Proceedings Paper
Computer Science, Interdisciplinary Applications
Dorina Werling, Maximilian Beichter, Benedikt Heidrich, Kaleb Phipps, Ralf Mikut, Veit Hagenmeyer
Summary: Transforming the energy system to decentralised, renewable energy sources requires measures to balance their fluctuating nature and stabilise the energy system. One such measure is a dispatchable feeder, which combines inflexible prosumption with a flexible energy storage system. However, the accuracy of energy time series forecasts has a complex impact on the performance of the dispatchable feeder, thus requiring analysis of the forecast value.
E-ENERGY '23 COMPANION-PROCEEDINGS OF THE 2023 THE 14TH ACM INTERNATIONAL CONFERENCE ON FUTURE ENERGY SYSTEMS
(2023)
Proceedings Paper
Computer Science, Interdisciplinary Applications
Johannes Galenzowski, Simon Waczowicz, Veit Hagenmeyer
Summary: In order to achieve global climate goals, it is important to identify and characterize flexibility in city districts to reduce grid loads and avoid congestion. This paper introduces a new flexibility indicator based on actual load profiles, and applies it to planning charging infrastructure. The results show that the highest peak load and the least flexible peak are not always the same, and additional flexibility can be used to optimize charging power or duration.
E-ENERGY '23 COMPANION-PROCEEDINGS OF THE 2023 THE 14TH ACM INTERNATIONAL CONFERENCE ON FUTURE ENERGY SYSTEMS
(2023)
