On OCT 5, 2024, I presented at SAP Inside Track Recife, the talk entitled:
Business innovation challenges and impacts for S/4 HANA
The innovations in the Finance area that the S/4 HANA platform offers us and that as consultants we must inform customers and take advantage of these innovations in Greefield and Brownfield implementations.
Link: https://drive.google.com/file/d/1UZbv7zjF5A-pTdKpk-s8PYb90CDGJH_1/view?usp=drive_link
No mundo todo, os órgãos governamentais digitalizam seus processos, desenvolvendo aplicações que atendem o cidadão de forma automatizada e remota. Nesta jornada, cresce a cada dia o consumo e a publicação de APIs (Application Programming Interfaces).
É o que revela estudo com líderes de TI de organizações do setor público dos EUA com mais de 1.500 funcionários. Em quase três de cada cinco organizações (59%), as APIs conseguiram melhorar o atendimento ao cidadão e/ou aprimorar a produtividade do desenvolvedor. Vale destacar que 99% estão modernizando suas aplicações.Saturday, 28 SEP we had the first SAP Inside Track event in Porto.
Desafios inovação no negócio e impactos para S/4HANA
Abstract
We are attending a paradigm shift in the requirements and solutions adopted for cities regarding mobility, connectivity, and security. These changes are driven by implementing 5G communications, developing autonomous vehicles, and Smart Cities projects. Smart cities (SC) have needs in terms of traffic control, more intelligent, integrated, comfortable, safe, and fast transport systems. Traffic control systems are expected to allow higher and secure traffic flow and efficient vehicle communications, with other equipment and people sharing the lane (V2X).Vehicles must communicate with each other(V2V), communicate with the infrastructure (V2I), and the vehicle’s position in the city context is needed and so must be known. In this scenario, the need arises to study new communication models to ensure low latency, high bandwidth, and accurate positioning information. The new communication models require the research community’s interdisciplinary and concerted effort. This project thesis proposal aims to contribute to presenting innovative proposals in the context of communications in Smart Cities. In this context, we intend to study the particular case of road crossings to propose communications for a city model with autonomous vehicles. It is intended to evaluate a model that is automatically controlled (without traffic lights), safe for pedestrians, cyclists, and autonomous vehicles, and which allows the collection of information to evaluate traffic flow in a broader context of the entire city it operates.
Introduction
Traffic flow is always considered the main objective in cities, as this reduces the time in traffic, reduces fuel consumption and pollution, and in general, it will improve the quality of life of those who use the city to work, study, or live [8]. In cities, intersections are the most complex points in terms of traffic and also the ones that cause more road accidents. The impacts of traffic on the safety of drivers and pedestrians are a strong reason for investigating safe means that can help vehicles, drivers, and pedestrians have safe and fluid access on the roads [9]. Today, the available technology already provides us with sensors, video cameras, LiDAR Radar and GPS that are installed in autonomous vehicles(AV). Those sensors can be coupled to the road infrastructure to provide systems that complement each other in the solutions and provide a good description of the environment surrounding the road, the vehicles, pedestrians, and obstacles that are found [9].
Author: Manuel Robalinho
Abstract
This work addresses the application of cooperative robotic systems in forest inventory task. The specific context of the use of robotic systems in forest brings a set of technical, geographic and environment constraints that shape the approach and possible techniques to be applied. In this work, we will only address the task of collecting images at selected points in the forest using a team of cooperative robots. Our goal will be, given a predefined number of robots and a predefined number of selected targets, to use an algorithm that maximizes the efficiency of the cooperative robots for the execution of the inventory tasks. Other related activities, such as the analysis and decision of which targets should be inventoried, data communication, database and volume calculations based on measurements, will be addressed in related future works.
INTRODUCTION
This work proposes an approach for the optimization of the forest inventory tasks to be performed by multiple robots, which will perform the tasks of measuring and evaluating the volumes of wood in the areas that are selected for inventory. This work is organized as follows: in section 1, we will explain the environment and applicability where this study is intended to be inserted; we will have a subsection for historical analysis and concepts of applicability of the theme. Section 2 covers related works on multi robot systems. Section 3 briefly introduces two well-known algorithms for the optimization of task assignment to robots: the Hungarian algorithm and the Vickrey auction. In section 4, we discuss and evaluate those algorithms to understand which one best suits the objective of the forest inventory. Section 5 presents the main conclusions of this work.
Author: Manuel Robalinho
Abstract
Visual experience is the main way humans communicate with each other. It is one of the main ways of interacting with our society, of obtaining and transmitting ideas, of molding projects and proof of various events and phenomena. Compressing images will always remain a research challenge, given the large amounts of information we produce in images and given the large number of devices prepared to capture them daily. Multispectral and hyperspectral image compression has received considerable interest in recent years, given the increase in image capture systems and the high resolution that imagers can easily capture, thus obtaining images with a lot of highly correlated data. The development of new areas of interest in the exploration of images also brought new contributions to the research, such as: autonomous vehicles, precision agriculture, space images, satellites communication and the medical field. This process generates very large images, which create other problems, their transmission, storage and computational power for the analysis of the data obtained. With that scenario, digital image compression has become a major factor in the operation of many day-to-day technologies. In this article, we address the issue of multispectral image compression and the algorithms used in this process.
Abstract
Most vehicle manufacturers and several technology companies have been studying concepts and technologies that can allow autonomous, safe and affordable driving for users of these systems. Three lines of investigation have directed the projects of autonomous vehicles, with regard to object detection: a) Using Lidar technology; b) Using stereo video cameras; c) Using both technologies in parallel. In this article, we cover the process described in the article ”End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection” which combines image capture with stereo cameras to obtain a digital image of points that surround the detected objects, for the system to simulate a Lidar image, which can then be exploited with the detection and classification algorithms available for Lidar technology. With this training process, the article presents a Pseudo Lidar.
Author: Manuel Robalinho
Abstract
The book describes the concepts of robotics and their practical application, and the concepts of computer vision applied to robotics, which involves the application of computational algorithms to data. The author has created two MATLAB® toolboxes, and explains in the book the concepts of robotics, using MATLAB® code in all situations, thus making the book an excellent material for the study and practice of robotics. The topics covered are oriented by real problems, with many illustrative images, which makes reading accessible and didactic. Robotics and machine vision involve the application of computational techniques and algorithms for data analysis. Advances in the use of robots and machine vision in all areas of society continue to be driven by more efficient methods of processing data. The best performance doesn’t always come only from the best machines. The use of new algorithms, combined with greater computational power and cloud computing techniques, led us to the almost omnipresent participation of robots in our daily lives. It is in industry, medicine, air transport, autonomous vehicles, mining and space exploration. This article is a literature review based on Peter Corke’s book, and the application of his techniques with a use case in autonomous vehicles.
Author: Manuel Robalinho
Abstract
We are attending a paradigm shift in the requirements and solutions adopted for cities regarding mobility, connectivity, and security. These changes are driven by the implementation of 5G communications, the development of autonomous vehicles, and Smart Cities projects. Smart cities (SC) have needs in terms of integrated traffic control and rapid transport systems. Traffic control systems are expected to enable road safety and communicate efficiently with vehicles, other equipment, and people sharing the road (V2X). Vehicles must communicate with each other(V2V), communicate with the infrastructure (V2I), and the vehicle’s position in the city context must be known. In this scenario, the need arises to study new communication models to ensure more latency, bandwidth, and positioning information. The new communication models require an interdisciplinary and concerted effort from the research community. This paper aims to contribute to the presentation of innovative proposals in the context of communications in SC.
Introduction
SAP Inside Track Fortaleza will have its fourth edition in Fortaleza (Brazil) on October 26, 2024.
Blog anunciando o evento:
Incrição para participação:
SAP Inside Track Fortaleza 2024 Ingressos, Sab, 26/10/2024 às 09:00 | Eventbrite
https://www.eventbrite.com/e/sap-inside-track-fortaleza-2024-tickets-885181049347
Form Inscrições para palestras
https://forms.gle/V54DK77sUxRtRdw36
A MakeValue, empresa catarinense especializada em softwares para tesouraria e operações financeiras, acaba de contratar o português Manuel Robalinho como mentor SAP da companhia.
Robalinho vem da Aço Cearense, onde era consultor de sistemas da fabricante alemã há 10 anos.
O executivo está no Brasil desde 2009, onde também trabalhou em empresas como Neoris, Softtek, RM Soluções em Infraestrutura, Moura Dubeux Engenharia, GFX Consultoria e RCN&BS, sempre com foco em SAP.
Em Portugal, começou a carreira em 1987, passando por nomes como Nestlé, Indra e Portugal Telecom.
https://www.baguete.com.br/noticias/18/04/2024/ex-aco-cearense-e-mentor-sap-da-makevalue
https://blogs.sap.com/2023/05/07/sap-inside-track-fortaleza-2023/
SAP Inside Track Fortaleza will have its fourth edition in Fortaleza (Brazil) on October 29, 2023.
Look here in the SAP Community Event Calendar.
The event is present in several countries around the world. Its organizers are active members of the SAP Community with the aim of sharing knowledge and strengthening professionals among the participants.
The event has more than 10 years of existence in Brazil, having been held in 11 different cities in 28 editions across the country.
Learn more about how to hold your SAP Inside Track event in your city through this LINK.
Includes:
Take this opportunity to share your knowledge and help us make this event even better.
Applications for lectures can be made at this LINK
Online lectures are possible and will be presented during the event week ( 23 Oct to 27 Oct )
Hotel Luzeiros Fortaleza
8 am – Reception
9 am to 12 pm – Presentations / lectures
12h to 13:30 – Lunch
14h to 17:30 – Lectures
17:30 to 18:00 – Closing session
Online lectures will be presented in the week of the event ( 23 Oct to 27 Oct )
Presential lectures will be presented in the event ( 28 Oct )
Applications for all lectures can be made at this LINK
Amanda Almeida
Mauricio Studart
Alexandre Faraco
