Integrating smart grids in cities is pivotal for enhancing urban sustainability and efficiency. Smart enable bidirectional communication between consumers utilities, enabling real-time monitoring management of electricity flows. This integration yields benefits such as improved energy efficiency, incorporation renewable sources, informed decision-making city planners. At the scale, forecasting consumption crucial effective resource planning infrastructure development. study proposes using a...

As digital transformation is gaining momentum, nowadays each product usually accompanied by a software system that can be used to manage it remotely. Automated Guided Vehicles are not an exception and currently managed systems lack features required the Industry 4.0 transformation. The current paper proposes upgrading traditional AGV management have Digital Twins capabilities, stating, analyzing benefits of this change. A prototype factory with several AGVs presented together state ongoing...

Industrial processes often rely on high-temperature heat, traditionally generated through the combustion of fossil fuels. However, a significant shift towards renewable and sustainable heat sources is underway, supported by environmental policies actions such as European Green Deal. These energy systems are complex characterized high degree interdependencies between various parameters. Optimizing orchestrating these for efficient delivery requires careful consideration factors temperature...

This article evaluates several machine learning methods to substitute the missing light detection and ranging data for better spatial localization of industrial automated guided vehicles. Decision trees ensemble using bagging or boosting techniques have been considered. Also, k-nearest neighbors algorithm was analyzed. Most algorithms evaluated based on multiple criteria hyper parameter tuning. The analysis results done in a comparative way, regression evaluation metrics being experiments...

Autonomous mobile robots (AMRs) are gaining popularity in various applications such as logistics, manufacturing, and healthcare. One of the key challenges deploying AMR is estimating their travel time accurately, which crucial for efficient operation planning. In this article, we propose a novel approach using Long Short-Term Memory (LSTM) networks. Our involves training network synthetic data generated simulation environment digital twin AMR, virtual representation physical robot. The...

Due to the new technological advancements and adoption of Industry 4.0 concepts, manufacturing industry is now, more than ever, in a continuous transformation. This work analyzes possibility using dynamic Bayesian networks predict next assembly steps within an assistance training system. The goal develop support system assist human workers their activities. evaluations were performed on dataset collected from experiment involving students. experimental results show that are appropriate for...

This paper presents a context-aware adaptive assembly assistance system meant to support factory workers by embedding predictive capabilities. The research is focused on the predictor which suggests next step. Hidden Markov models are analyzed for this purpose. Several prediction methods have been previously evaluated and partial matching, was most efficient, considered in work as component of hybrid model together with an optimally configured hidden model. experimental results show that...

Abstract Due to our previous experience in AR development, with this research project we propose study how Augmented Reality (AR) can be adopted by an industrial partner and which are the major outcomes from a company may benefit. For purpose, partnered forward-looking willing embrace idea of implementing new technologies for purposes. In identified that most significant impact have is providing remote assistance product exploitation marketing latest developed customized application...

Recent neurological studies shows that emotions are tightly connected to the thinking and cognitive actions, being part of decision-making process. Considering this, having a way help decision making processes based on current emotion user or consider potential emotional impact if is made, would be beneficial. This paper introduces novel method for fusing multiple signals, using weighted average, where each weight value adapts real time conditions, signal type, presence, quality. In context...

Abstract Data acquisition is the process of collecting information from various sources through sensors or instruments. After obtaining data, it usually converted analogue format to a digital format. In this paper an application that gathers room-related presented. The purpose such system would be able monitor certain parameters interest in living space. Afterwards data can used manners. One most important results being identify habitability room. It point out potential health hazards before...

This paper introduces the concepts of an architecture for a distributed control system industrial production line. The is based on multi-agent that controls hardware components using network low-level controllers. controllers are programmed new standard IEC61499. will be tested preexisting demo

This work presents the augmentation of Sniper, a state-of-the-art multi/many-core simulator, with access to operand values specific group instructions. Our motivation for accessing is given because computer programs, in particular graphic and multimedia applications, are characterized by high degree redundancy which can be exploited dynamic instruction reuse techniques. paper falls into category "open architectures" starting from open-source concept, as it provides researchers methodology...

A great challenge in applying AI to specific problems the industry is select proper method when multiple methods are available. In this paper, we intend address issue with various context of adaptive assembly assistance systems. The paper a synthesis that discusses and highlights advantages disadvantages, applicability, recommendations for several AI-based methods. For illustration, present applied provide choices next step highly customizable modular tablet used as target product. To choose...