A review of k-NN algorithm based on classical and Quantum Machine Learning

[EN] Artificial intelligence algorithms, developed for traditional computing, based on Von Neumann’s architecture, are slow and expen- sive in terms of computational resources. Quantum mechanics has opened up a new world of possibilities within this field, since, thanks to the basic properties of a quantum computer, a great degree of parallelism can be achieved in the execution of the quantum version of machine learning algorithms. In this paper, a study has been carried out on these proper- ties and on the design of their quantum computing versions. More specif- ically, the study has been focused on the quantum version of the k-NN algorithm that allows to understand the fundamentals when transcribing classical machine learning algorithms into its quantum versions

Swarm Attack: A Self-organized Model to Recover from Malicious Communication Manipulation in a Swarm of Simple Simulated Agents

Non-centralised behaviour such as those that characterise swarm robotics systems are vulnerable to intentional disruptions from internal or external adversarial sources. Threats in the context of swarm robotics can be executed through goal, behaviour, environment or communication manipulation. Experimental studies in this area are still sparse. We study an attack scenario performed by actively modifying the data between authorised participants. We formulate a robust probabilistic adaptive defence mechanism which does not aim at identifying malicious agents, but to provide the swarm with the means to minimise the consequences of the attack. The mechanism relies on a dynamic modification of the probability of agents to change their current information in view of new contradictory or corroborating incoming data. We investigate several experimental conditions in simulation. The results show that the presence of adversaries in the swarm hinders reaching consensus to the majority opinion when using a baseline method, but that there are several conditions in which our adaptive defence mechanism is highly efficient

Safety Is the New Black: The Increasing Role of Wearables in Occupational Health and Safety in Construction

As wearable technologies are gaining increased attention in construction, we present an integrated solution for their adoption in occupational health and safety (OHS). Research methods include a structured literature review of 37 articles and a year-long design science research project in a construction group. The main results are (1) the identification of new wearable solutions made available by industry 4.0 to prevent hazards, and (2) a wearable model for voluntary regulations compliance. For theory, our research identifies key application areas for integrated smart OHS in construction and highlights the importance of continuous monitoring and alerts to complement the tra-ditional sampling techniques. For practice, we offer recommendations for managers wishing to implement continuous compliance checking and risk prevention using wearable technology. Our findings help improve health and safety audits supported by digital evidence in the sector with most risks of accidents in the European Union