Blar i Publikasjoner fra CRIStin - NTNU på tittel
Viser treff 9119-9138 av 37186
-
Distributed Deep Neural-Network-Based Middleware for Cyber-Attacks Detection in Smart IoT Ecosystem: A Novel Framework and Performance Evaluation Approach
(Peer reviewed; Journal article, 2023)Cyberattacks always remain the major threats and challenging issues in the modern digital world. With the increase in the number of internet of things (IoT) devices, security challenges in these devices, such as lack of ... -
Distributed Detection in Wireless Sensor Networks under Multiplicative Fading via Generalized Score-tests
(Peer reviewed; Journal article, 2021)In this paper, we address the problem of distributed detection of a non-cooperative (unknown emitted signal) target with a Wireless Sensor Network (WSN). When the target is present, sensors observe an (unknown) deterministic ... -
Distributed embodiment of metaphorical hope in hand, head, and eyebrow gestures
(Peer reviewed; Journal article, 2023)This study aimed to examine the embodied conceptualization of hope through metaphors. We asked a group of participants to discuss their hopes in a semi-structured interview. We examined the types of hand, head, and eyebrow ... -
Distributed energy resource participation in electricity markets: A review of approaches, modeling, and enabling information and communication technologies
(Journal article; Peer reviewed, 2022) -
A distributed feedback-based online process optimization framework for optimal resource sharing
(Peer reviewed; Journal article, 2021)Distributed real-time optimization (RTO) enables optimal operation of large-scale process systems with common resources shared across several clusters. Typically in distributed RTO, the different subsystems are optimized ... -
Distributed Fine-Grained Traffic Speed Prediction for Large-Scale Transportation Networks based on Automatic LSTM Customization and Sharing
(Chapter, 2020)Short-term traffic speed prediction has been an important research topic in the past decade, and many approaches have been introduced. However, providing fine-grained, accurate, and efficient traffic-speed prediction for ... -
Distributed Kalman filtering and control through embedded average consensus information fusion
(Journal article; Peer reviewed, 2019)This paper presents a unified framework for distributed filtering and control of state-space processes. To this end, a distributed Kalman filtering algorithm is developed via decomposition of the optimal centralized Kalman ... -
Distributed Kalman filtering in presence of unknown outer network actuations
(Journal article; Peer reviewed, 2019)This letter presents a fully distributed approach for tracking state vector sequences over sensor networks in presence of unknown actuations. The problem arises in large-scale systems where modeling the full dynamics becomes ... -
Distributed Kalman Filtering with Privacy against Honest-but-Curious Adversaries
(Chapter, 2021)This paper proposes a privacy-preserving distributed Kalman filter (PP-DKF) to protect the private information of individual network agents from being acquired by honest-but-curious (HBC) adversaries. The proposed approach ... -
Distributed Kalman filtering: Consensus, diffusion, and mixed
(Chapter, 2018)A distributed Kalman filtering technique is developed for tracking state-space processes via sensor networks. Considering the optimal solution to multi-agent sequential filtering of linear Gaussian state-space processes, ... -
Distributed learning for wind farm optimization with Gaussian processes
(Journal article; Peer reviewed, 2020) -
Distributed Learning over Networks with Non-Smooth Regularizers and Feature Partitioning
(Chapter, 2021)We develop a new algorithm for distributed learning with non-smooth regularizers and feature partitioning. To this end, we transform the underlying optimization problem into a suitable dual form and solve it using the ... -
Distributed Learning with Non-Smooth Objective Functions
(Chapter, 2020)We develop a new distributed algorithm to solve a learning problem with non-smooth objective functions when data are distributed over a multi-agent network. We employ a zeroth-order method to minimize the associated augmented ... -
Distributed Ledger and Decentralised Technology Adoption for Smart Digital Transition in Collaborative Enterprise
(Peer reviewed; Journal article, 2021)Digital transformation of Collaborative Enterprise (CE), both in terms of planning and implementation, relies on new business models and innovative technologies. One of such technologies is Distributed Ledger Technology ... -
Distributed Model Predictive Control of Interconnected Nonlinear Systems by Dynamic Dual Decomposition
(Chapter, 2014)A suboptimal approach to distributed Nonlinear Model Predictive Control (NMPC) for systems consisting of nonlinear subsystems with nonlinearly coupled dynamics subject to both state and input constraints is proposed. The ... -
Distributed motion sensing on ships
(Journal article; Peer reviewed, 2017)A current trend is autonomous transport of goods and people in the air, at land, and at sea. For safe and reliable operations, autonomous systems require sensors that replace, or even exceed, the senses of a human operator. ... -
Distributed MPC for Formation Path-Following of Multi-Vehicle Systems
(Peer reviewed; Journal article, 2022)The paper considers the problem of formation path-following of multiple vehicles and proposes a solution based on combining distributed model predictive control with parametrizations of the trajectories of the vehicles ... -
Distributed Nonlinear Model Predictive Control by Sequential Linearization and Accelerated Gradient Method
(Journal article; Peer reviewed, 2016)A suboptimal approach to distributed NMPC for nonlinear interconnected systems subject to constraints is proposed. The objective is to develop a computationally efficient approach. The suggested method is based on a ... -
A distributed object-oriented simulator framework for marine power plants with weak power grids
(Peer reviewed; Journal article, 2022)In this work, we discuss and demonstrate how multi-engine marine power plants with weak power grids efficiently can be set up and simulated in a distributed co-simulation framework. To facilitate configuration switching ...