A CASE STUDY OF INNOVATION OF AN INFORMATION COMMUNICATION SYSTEM AND UPGRADE OF THE KNOWLEDGE BASE IN INDUSTRY BY ESB, ARTIFICIAL INTELLIGENCE, AND BIG DATA SYSTEM INTEGRATION
ABSTRACT: I ricercatori di Dyrecta Lab hanno dimostrato come può essere sviluppata la base di conoscenza partendo da applicativi gestionali, analizzando un caso di studio specifico. Il paper dimostra come le linee guida del manuale Frascati della Ricerca possono essere interpretate e seguite in progetti di Ricerca Industriale e dello Sviluppo Pre-Competitivo, espandendo la base […]
Italia, fisco per l’innovazione
Italia seconda classificata in Europa nel 2017 per grado di attrattività dei capitali stranieri. Il nostro Paese, secondo il “Digital Tax Index di Price Waterhouse Cooper” (PwC), è dietro solo all’Irlanda. L’indice calcola l’effettivo onere fiscale sugli investimenti in digitalizzazione d’impresa nei paesi europei. Il clamoroso risultato è soprattutto la conseguenza delle politiche finanziarie nazionali […]
MODEL OF MULTIPLE ARTIFICIAL NEURAL NETWORKS ORIENTED ON SALES PREDICTION AND PRODUCT SHELF DESIGN
ABSTRACT: In this paper the authors proposed different Multilayer Perceptron Models (MLP) of artificial neural networks (ANN) suitable for visual merchandising in Global Distribution (GDO) applications involving supermarket product facing. The models are related to the prediction of different attributes concerning mainly shelf product allocation applying times series forecasting approach. The study highlights the range […]
A Study of a Health Resources Management Platform Integrating Neural Networks and DSS Telemedicine for Homecare Assistance
ABSTRACT: The proposed paper is related to a case of study of an e-health telemedicine system oriented on homecare assistance and suitable for de-hospitalization processes. The proposed platform is able to transfer efficiently the patient analyses from home to a control room of a clinic, thus potentially reducing costs and providing high-quality assistance services. The […]
SENSITIVITY OF A VIDEO SURVEILLANCE SYSTEM BASED ON MOTION DETECTION
ABSTRACT: The implementation of a stand-alone system developed in JAVA language for motion detection has been discussed. The open-source OpenCV library has been adopted for video surveillance image processing thus implementing Background Subtraction algorithm also known as foreground detection algorithm. Generally the region of interest of a body or object to detect is related to […]
DATA MINING MODEL PERFORMANCE OF SALES PREDICTIVE ALGORITHMS BASED ON RAPIDMINER WORKFLOWS
ABSTRACT: By applying RapidMiner workflows has been processed a dataset originated from different data files, and containing information about the sales over three years of a large chain of retail stores. Subsequently, has been constructed a Deep Learning model performing a predictive algorithm suitable for sales forecasting. This model is based on artificial neural network […]
Design and Development of a Mobile APP for Multichannel Sales Systems based on Artificial Intelligence
Abstract— In this paper the authors propose a mobile application oriented on mobile multi-channel marketing. The multi-channel model consists of enabled mobile channels of sellers linked to a central node which is managed by a system administrator. The study case is related to an industrial project concerning an intelligent sales system allowing that a customer […]
AUTOMATIC IMAGE PROCESSING ENGINE ORIENTED ON QUALITY CONTROL OF ELECTRONIC BOARDS
ABSTRACT: We propose in this work a study of an image processing engine able to detect automatically the features of electronic board weldings. The engine has been developed by using ImageJ and OpenCV libraries. Specifically the image processing segmentation has been improved by watershed approach. After a complete design of the automation processes, different test […]
ESB PLATFORM INTEGRATING KNIME DATA MINING TOOL ORIENTED ON INDUSTRY 4.0 BASED ON ARTIFICIAL NEURAL NETWORK PREDICTIVE MAINTENANCE
La rivista International Journal of Artificial Intelligence & Applications (IJAIA), ha accettato il nostro articolo “ESB PLATFORM INTEGRATING KNIME DATA MINING TOOL ORIENTED ON INDUSTRY 4.0 BASED ON ARTIFICIAL NEURAL NETWORK PREDICTIVE MAINTENANCE” Sistemi Intelligenti per l’automazione dei processi delle PMI nel contesto applicativo Industria 4.0 I principi mostrati potranno essere applicati per customizzare interfacce […]
OVERVIEW AND APPLICATION OF ENABLING TECHNOLOGIES ORIENTED ON ENERGY ROUTING MONITORING, ON NETWORK INSTALLATION AND ON PREDICTIVE MAINTENANCE
ABSTRACT Energy routers are recent topics of interest for scientific community working on alternative energy. Enabling technologies supporting installation and monitoring energy efficiency in building are discussed in this paper, by focusing the attention on innovative aspects and on approaches to predict risks and failures conditions of energy router devices. Infrared (IR) Thermography and Augmented […]