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Cloud Control Systems (CCSs) harness the power of cloud resources to carry out intense computational tasks, however, they face challenges in delivering time-critical control signals due to network and cloud-induced delays. In this paper, we introduce a novel framework, "Punctual Cloud", designed to enhance the timely delivery of control signals in CCS. This framework ensures that control signals a

Recently, the industry has been driven to move industrial control systems to the cloud due to the significant advantages it offers in terms of storage and computing resources. However, this shift also brings forth significant security challenges. By moving control systems to the cloud, the potential for attackers to infiltrate the system and launch damaging attacks increases. These attacks can res

Connected autonomous vehicles can significantly improve the safety and mobility of urban transportation systems. However, these systems are vulnerable to model uncertainties, wireless communication impairments, and external disturbances. In this article, we propose a new autonomous intersection management (AIM) system, called hierarchical model predictive control (HMPC). In HMPC, the intersection

With the rapid advancement of autonomous vehicle technology, integrating mixed autonomous and non-autonomous vehicles that are not cooperative in vehicular network has become a significant challenge. This paper presents an innovative Autonomous Intersection Management (AIM) system designed to optimize traffic flow and enhance intersection safety in such mixed traffic scenarios. By utilizing vehicl

Conventional Quality of Service(QoS) measurements are incapable to meet the demand for analysing communication performance on timeliness of information in Industrial Control Networks with many connected subsystems. The Age of Information (AoI) and the Age of Actuation (AoA) give a promise to be a solution. Many recent research articles cover theoretical aspects and analyse performance characterist

The state-of-the-art machine learning techniques come with limited, if at all any, formal correctness guarantees. This has been demonstrated by adversarial examples in the deep learning domain. To address this challenge, here, we propose a scalable robustness verification framework for Deep Neural Networks (DNNs). The framework relies on Linear Programming (LP) engines and builds on decades of adv

In recent years, since the cloud can provide tremendous advantages regarding storage and computing resources, the industry has been motivated to move industrial control systems to the cloud. However, the cloud also introduces significant security challenges since moving control systems to the cloud can enable attackers to infiltrate the system and establish an attack that can lead to damages and d

According to the Swedish higher ordinance of education the development of autonomy of PhD students is of high importance. Graduates should be able to formulate new ideas and to independently assess and evaluate scientific results. Therefore it is interesting to investigate how the relationship between student and supervisor impacts the development of autonomy. In this work, we have evaluated the i

The emergence of sixth-generation (6G) networks has spurred the development of novel testbeds, including sub-THz networks, cell-free systems, and 6G simulators. To maximize the benefits of these systems, it is crucial to make the generated data publicly available and easily reusable by others. Although data sharing has become a common practice, a lack of standardization hinders data accessibility

Connected Autonomous Vehicles (AVs) have the potential to revolutionize Intelligent Transportation Systems (ITS) by addressing urban transport challenges, such asAutonomous Intersection Management (AIM). However, the assumption of highly accurate positioning in most ITS applications does not align with real-life situations. While extensive research has been conducted to improve positioning accurac

To have a successful career in engineering, students need both technical engineering skills and non-technical engineering skills (NTES) in the transition to professional life. To address NTES in engineering education, the concept of six compulsory ‘engineering days’ were introduced in two engineering programs at the undergraduate level. The importance of different NTES for industry has been evalua

Traditional control systems face challenges in managing high data loads and computing power, prompting the evolution of Cloud Control Systems (CCS)-a fusion of Networked Control Systems (NCS) and cloud computing. Despite offering manifold advantages, CCS encounters hurdles in navigating the dynamic cloud environment characterized by fluctuating workloads, rendering static frequency settings ineffi

With the growing demand for efficient, safe and sustainable transportation systems, the imperative to design intelligent routing and traffic management solutions within urban settings, requiring minimal data exchange and ensuring scalability, becomes evident. This paper introduces an innovative paradigm for traffic management. By seamlessly integrating machine learning and Autonomous Intersection

QUIC is a UDP-based transport layer protocol developed by Google that boasts lower latency performance than TCP. However, different conclusions have been reported regarding its performance due to variations in targeted applications and experimental setups. This leads to our conclusion that protocol performance evaluation should be heavily dependent on the QoS requirements of the target application

https://www.ai.lu.se/mikael-sundstrom - 2026-06-07

LEICA THUNDER WORKSHOP – LUND 23rd – 26th September 2019 For more information about Leica THUNDER Imagers visit: www.leica-microsystems.com/thunder For Leica THUNDER image library visit: https://www.leica-microsystems.com/science-lab/galleries/image-gallery-thunder-imager/ Please contact Peter Sandin or Rickard Linnskog at Micromedic to sign up for the presentation and reserve your personal demo s

https://www.microscopy.lu.se/sites/microscopy.lu.se/files/flyer_leica_thunder_days_lund.pdf - 2026-06-08

Digital contact tracing substantially improves the identification of high-risk contacts during pandemics. Despite several attempts to encourage people to use digital contact-tracing applications by developing and rolling out decentralized privacy-preserving protocols (broadcasting pseudo-random IDs over Bluetooth Low Energy-BLE), the adoption of digital contact tracing mobile applications has been

The assassination of Iranian top nuclear scientist Mohsen Fakhrizadeh is one of numerous assassinations in Iran conducted by foreign powers ever since 2007. In the past six months, assassins have in addition to Fakhrizadeh also been able to kill Al-Qaida’s no. 2 on Iranian soil. The three most important organizations in the Iranian intelligence community are the Ministry of Intelligence, as well a

Children’s development of attachment security and socioemotional adjustment when they grow up with shared residence ​​​​Increasing numbers of children grow up with joint physical custody and shared residence (växelvis boende) between parents’ homes after parental separation. Swedish and international studies of school children and adolescents with shared residence are encouraging regarding their p

https://www.psy.lu.se/en/research/developmental-psychology/evidence-over-conviction/background - 2026-06-07