Top Research Papers on Operating Systems

Evaluation results demonstrate the high performance of PDOS in multiple autonomous driving, and indicate that PDOS is an efficient operating system for parallel driving.

This book provides a broad overview of state-of-the-art research at the intersection of the Koopman operator theory and control theory. It also reviews novel theoretical results obtained and efficient numerical methods developed within the framework of Koopman operator theory. The contributions discuss the latest findings and techniques in several areas of control theory, including model predictive control, optimal control, observer design, systems identification and structural analysis of controlled systems, addressing both theoretical and numerical aspects and presenting open research direct...

A common way to represent a system's dynamics is to specify how the state evolves in time, but an alternative viewpoint is to specifying how functions of the state evolve in time.

This work proposes an end-to-end deep learning framework to learn the Koop man embedding function and Koopman Operator together, reducing the prediction error by order of magnitude and achieving superior control performance in several nonlinear dynamic systems like damping pendulum, CartPole, and the seven DOF robotic manipulator.

The performance of the proposed system was successfully evaluated in the Tunnel Circuit of the DARPA Subterranean Challenge, where the UAV cooperated with ground robots to precisely localize artifacts in a coal mine tunnel system.

Em seu entendimento, Pallasmaa afirma que a arquitetura é multidimensional.Nesse sentido, o autor enfatiza a importância da dimensão sensorial, e acredita nos sentidos humanos como elementos essenciais à perceção e compreensão dos espaços em sua integralidade.

A bstract Inspired by the universal operator growth hypothesis, we extend the formalism of Krylov construction in dissipative open quantum systems connected to a Markovian bath. Our construction is based upon the modification of the Liouvillian superoperator by the appropriate Lindbladian, thereby following the vectorized Lanczos algorithm and the Arnoldi iteration. This is well justified due to the incorporation of non-Hermitian effects due to the environment. We study the growth of Lanczos coefficients in the transverse field Ising model (integrable and chaotic limits) for boundary amplitude...

This Review describes ROS 2’s design, features, and performance with four case studies on land, air, sea, and even space and highlights the philosophical and architectural changes of ROS 2 powering this new chapter in the robotics revolution.

The definition and composition of typical smartEnergy systems are reviewed to provide a comprehensive and holistic understanding of smart energy systems.

The penetration of distributed energy resources in electrical grids has been steadily increasing in an effort to reduce greenhouse gas emissions. Inverters, as interfaces between distributed energy resources and grids, have become critical assets in modern power systems. In recent years, the development and application of grid-forming inverters have gained significant traction due to their capability of supporting power grid operations. A comprehensive review of grid-forming inverters is presented for power system applications. A comparison between grid-forming inverters and grid-following inv...

It is shown that any quantum operator can be exactly decomposed as a linear combination of at most four unitary operators, showing promise in simulating nonunitary operations on intermediate-term and future quantum devices.

A new data-driven fault detection methodology in a novel application for shipboard systems is proposed, by exploring the “learning potential” of recorded voyage data by selecting the optimal regression model, with the Exponentially Weighted Moving Average for fault detection, in novel ship applications.

A model considering demand response takes the optimal comprehensive evaluation index consisting of economic benefits of both supply side and user side, load peak valley ratio and carbon emission as the objective function and shows that user-side demand response reduces the total cost of regional integrated energy system.

Energy storage systems are a fundamental part of any efficient energy scheme. Because of this, different storage techniques may be adopted, depending on both the type of source and the characteristics of the source. In this investigation, present contribution highlights current developments on compressed air storage systems (CAES). The investigation explores both the operational mode of the system, and the health & safety issues regarding the storage systems for energy. The investigation also includes a detailed conclusion, which summarises the vast significance of novel energy storage technol...

Abstract. Wind energy is foundational for achieving 100 % renewable electricity production, and significant innovation is required as the grid expands and accommodates hybrid plant systems, energy-intensive products such as fuels, and a transitioning transportation sector. The sizable investments required for wind power plant development and integration make the financial and operational risks of change very high in all applications but especially offshore. Dependence on a high level of modeling and simulation accuracy to mitigate risk and ensure operational performance is essential. Therefore...

This review provides a comprehensive overview of the dynamics of low-temperature water electrolyzers and their influence on coupling the three major technologies, alkaline, Proton Exchange Membrane (PEM) and, Anion Exchange Membrane (AEM) with photovoltaic (PV) systems. Hydrogen technology is experiencing considerable interest as a way to accelerate the energy transition. With no associated CO2 emissions and fast response, water electrolyzers are an attractive option for producing green hydrogen on an industrial scale. This can be seen by the ambitious goals and large-scale projects being anno...

An IoT-based intelligent logistics dispatching system, which enables dynamic coordination between customers, order-picking robots and cloud technology, and outperforms the traditional dispatching methodologies is proposed.

The advantages of DSE as compared to static state estimation, and the implementation differences between the two, including the measurement configuration, modeling framework and support software features are discussed.

The increasing population and continuous urbanization make food security prominent in sustainable development. It is important to develop economic and resource-efficient farming solutions to meet food demand. Renewable energy and waste valorization may bring benefits to build sustainable food production systems and facilitate circular economy. This work aims to develop a decision support framework for the stakeholders to quantitatively assess and optimize their urban farming systems for efficient investment and operation. The proposed framework is based on a holistic system model that consider...

A comprehensive overview of the IEHS modeling and solution methods for the optimal operation is provided, including the representation of dynamic characteristics, operational flexibility improvement, operation under uncertainty, and joint dispatch of the electrical power system and district heating system.

Inductive power transfer (IPT) for electric vehicles (EVs) is an emerging technology that can transfer power wirelessly over certain distances, thus offering some remarkable characteristics in terms of flexibility, position, and movability. The output power of an IPT system depends on the coupling factor of the magnetic couplers, which can deviate from the nominal operating conditions due to the occurrence of misalignment. Nevertheless, misalignment of the magnetic couplers in inductive charging is inevitable, and it usually results in the variation of the mutual inductance and output power of...

As the application of multimedia technology intensifies recently, more and more attention has been paid to privacy protection in image data. The interest in DNA-based image encryption techniques is increasing due to their high parallelism and large storage capacity. However, there are only few types of operations in existing DNA encryption methods and many of them are susceptible to chosen-plaintext attacks. To solve these problems, this paper proposes a novel image encryption algorithm based on a new DNA sequence operation and hyperchaotic system. Firstly, SHA-256 algorithm is used in conjunc...

This article seeks to analyze the origin and development of the Hip-Hop and feminist movement, and its relations with culture, and to explain its characteristics and objectives of struggle, with emphasis on the importance of these stories for contemporaneity. From a qualitative, bibliographic, and interdisciplinary research, we seek to visualize the perceptions of Cultural Studies as a point of intersection between the arts and the theories of subalternity, with a view to understanding how they have been contributing to the struggles and mobilization of discourses in which their subjects are s...

This work proposes a novel concept for an intelligent and semi-autonomous human-cyber-physical system (HCPS) to operate future wind turbines in the context of Industry 5.0 technologies.

A new MIP-model is presented to integrate both decision problems about the assignment of pods to stations and orders to stations to fulfill picking for each incoming customer’s order and a heuristic is proposed to reduce the computational time for a real-world application.

Wind power, the most promising renewable energy source in the world, plays an important role in the electricity markets. Wind power curtailment cannot be avoided in some countries due to its output has a special feature of randomness and volatility. Since the excess wind power being converted into hydrogen and sold to the hydrogen market will be the future trend. This study proposes a wind-electrolytic hydrogen storage system to participate in the electricity/hydrogen markets for selling electricity and hydrogen, which can help to improve the benefits of wind power in the electricity markets a...

A new methodology is proposed to analyze existing products in view of their functional and physical architecture, and suggests how to achieve appropriate smart manufacturing systems’ resilience from a human-centric perspective through the means of the Operator 4.0 typology and its related technical solutions.

A survey of major issues regarding the motivations and specific benefits behind the adoption of hybrid renewable energy systems (HRES) at micro-levels and a policy discussion on the affordability of HRES in a low-income household are presented.

A fundamental microgrid system's load demand often fluctuates hourly. Utilities establish different prices at various times based on the fluctuation of the load demand curve, this is referred to as electricity price based on time-of-use (TOU). The overall contribution of the paper is manifold which involves the techno-economic impacts of grid participation, electricity pricing and renewables. However, the primary goal is to offer a demand-response (DR) model that maximizes the benefits of energy retailers, in this case the microgrid customers. DR models examine the utility and elasticity of va...

The 2DNLCML system contains good features such as ergodic pseudo-random sequence, less periodic windows in bifurcations and larger range of parameters in chaotic dynamics, which is more suitable for image encryption.

Recent and ongoing studies focused on improving cytotoxic chemotherapy and incorporating targeted and immunotherapies in the management of early-stage, resectable lung cancer are explored.

The construction of integrated energy system can effectively improve energy efficiency and reduce carbon emission, which is of great significance to energy sustainable development. This paper proposes an integrated energy system operation optimization method based on cooperative game, which can effectively reduce the energy cost and carbon emissions of the system, and encourage different subjects to participate in the overall coordinated and optimized operation of the system. Firstly, combined with cooperative game theory, a cooperative game model of integrated energy system with cost and carb...

An early DDoS detection tool is created by using SNORT IDS (Intrusion Detection System), integrated with popularly used SDN controllers (Opendaylight and Open Networking Operating System) and it is found that ODL takes minimum time to detect the successful DDoS attack and more time to go down than ONOS.

The results of this paper demonstrate to rooftop PV system owners that investment in combined TSS and BSS can be more profitable as this system can minimize life cycle costs.

This work investigates the optimal mission abort policies for systems subject to a controllable shock process with self-healing mechanism and finds that the optimal policy is to minimize the expected total cost of mission failure, system failure and imperfect repair.

The results show that compared with the traditional method, this method effectively reduces system operating costs and improves the load profile, which helps to achieve a win-win situation for both energy companies and users.

The various methods and applications of scenario generation are classified and discussed and an evaluation framework for these methods is established to comprehensively understand scenario generation and optimize solutions for uncertainties.

Numerical results provide evidence that the proposed approach learns reduced models that achieve comparable accuracy as models constructed with state-of-the-art intrusive model reduction methods that require full knowledge of the governing equations.

Modern systems are operating under dynamic environments and the components therein often exhibit positively correlated lifetimes. Moreover, due to various practical reasons such as the load sharing mechanism, it is not uncommon that lifetimes of some components dominate the others within the same system. In this study, we first propose a statistical model for system reliability evaluation by jointly considering the correlated component lifetimes and the lifetime ordering constraints. In specific, the effects of the dynamic environments are incorporated by modelling the cumulative hazard functi...

Simulation results show that the proposed strategy can utilize the complementary advantages of multiple energy sources and promote the energy supply and demand balance at multiple time and space scales, while exhibiting better performances in terms of objectives, constraints, operation measures and economics.