BowTie - A deep learning feedforward neural network for sentiment analysis

How to model and encode the semantics of human-written text and select the type of neural network to process it are not settled issues in sentiment analysis. Accuracy and transferability are critical issues in machine learning in general. These properties are closely related to the loss estimates for the trained model. I present a computationally-efficient and accurate feedforward neural network for sentiment prediction capable of maintaining low losses. When coupled with an effective semantics model of the text, it provides highly accurate models with low losses. Experimental results on representative benchmark datasets and comparisons to other methods show the advantages of the new approach.Comment: 12 pages, 7 figures, 4 table

Microservice Architectures for Advanced Driver Assistance Systems: A Case-Study

The technological advancements of recent years have steadily increased the complexity of vehicle-internal software systems, and the ongoing development towards autonomous driving will further aggravate this situation. This is leading to a level of complexity that is pushing the limits of existing vehicle software architectures and system designs. By changing the software structure to a service-based architecture, companies in other domains successfully managed the rising complexity and created a more agile and future-oriented development process. This paper presents a case-study investigating the feasibility and possible effects of changing the software architecture for a complex driver assistance function to a microservice architecture. The complete procedure is described, starting with the description of the software-environment and the corresponding requirements, followed by the implementation, and the final testing. In addition, this paper provides a high-level evaluation of the microservice architecture for the automotive use-case. The results show that microservice architectures can reduce complexity and time-consuming process steps and makes the automotive software systems prepared for upcoming challenges as long as the principles of microservice architectures are carefully followed

Design, planning, deployment and operation of a learning platform

This paper explores in depth the effective management of Odoo-based systems in educational and business environments, with a special focus on the experience of the aUPaEU educational project. Odoo, an open source business management system, has proven to be an essential tool for managing a wide range of business processes. Successful implementation of Odoo involves sound management and appropriate approaches to critical issues such as backup, version migration and continuous monitoring. This paper presents a comprehensive methodology that addresses these fundamental aspects of Odoo system administration. For backups, it proposes the use of Minio, a scalable cloud storage solution that ensures the integrity of enterprise data. Version migration is addressed through the use of OpenUpgrade, a tool that automates this complex process and minimises the associated risks. In terms of system monitoring, a set of tools including Prometheus, Grafana and Loki are used, enabling constant and effective control of the Odoo infrastructure. In the context of aUPaEU, this paper also examines how these solutions and best practices are specifically applied to the management of Odoo systems in education. It highlights how the aUPaEU has used these tools to improve the efficiency and reliability of its systems, resulting in a more robust user experience and more effective management of educational resources. The paper not only presents these tools, but also highlights best practices for their successful implementation in the Odoo environment, with a focus on how these practices benefit the aUPaEU. In addition, future directions are explored to further improve Odoo systems management and its impact on the aUPaEU, making it a valuable resource for both working professionals and students venturing into this ever-evolving field. Ultimately, this work makes a significant contribution to the field of Odoo systems management by providing comprehensive guidance and essential tools that respond to the evolving needs of companies and organisations using Odoo to drive their business operations, including educational cases such as aUPaEU