Curriculum vitae yanto goossens
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Graduated Master industrial engineering Electromechanics in June '16. Currently travelling until April '17
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Try at [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
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Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
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Energy efficiency has been important since the latter part of the last century. The main object of this survey is to determine the energy efficiency knowledge among consumers. Two separate districts in Bangladesh are selected to conduct the survey on households and showrooms about the energy and seller also. The survey uses the data to find some regression equations from which it is easy to predict energy efficiency knowledge. The data is analyzed and calculated based on five important criteria. The initial target was to find some factors that help predict a person's energy efficiency knowledge. From the survey, it is found that the energy efficiency awareness among the people of our country is very low. Relationships between household energy use behaviors are estimated using a unique dataset of about 40 households and 20 showrooms in Bangladesh's Chapainawabganj and Bagerhat districts. Knowledge of energy consumption and energy efficiency technology options is found to be associated with household use of energy conservation practices. Household characteristics also influence household energy use behavior. Younger household cohorts are more likely to adopt energy-efficient technologies and energy conservation practices and place primary importance on energy saving for environmental reasons. Education also influences attitudes toward energy conservation in Bangladesh. Low-education households indicate they primarily save electricity for the environment while high-education households indicate they are motivated by environmental concerns.
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IEEE Aerospace and Electronic Systems Society as a Graduate Student Member
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Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
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Curriculum vitae yanto goossens
- 1. Curriculum Vitae Goossens Yanto Nachtegaallaan 23/1001 2930 Brasschaat +324 74 08 16 21 Yanto.Goossens@gmail.com Personal information Male 2nd of august 1992 Living in Brasschaat Born in Belgium Driver’s License B Knowledge of languages Dutch Mother tongue English Good French Basic Knowledge of software Inventor Good MS Office Good AutoCAD Basic Siemens NX Basic SAP Basic Education 2011‐2016 University of Antwerp Master of Electromechanical Engineering 2010‐2011 Education center ACTA – education center for technology and automation Project 1825 – practical education for becoming an operator in the process industry. Part‐time education at ACTA and part‐time work at former refinery Petroplus (currently Gunvor Petroleum Antwerpen nv) 2004‐2010 Gemeentelijk Instituut Technisch Onderwijs Kalmthout – TSO – Electromechanics Experience 2016 Petronas Lubricants Belgium NV – Assistant planner: mostly working with SAP. Procurement of all products needed in the production of lubricants. (3 months) 2010‐2011 Petroplus – Operator: monitoring and maintenance of the process and the technical installations. 2011 BASF – Technical maintenance cracker (Student job ‐ 1 month) 2010 BASF – Technical maintenance pumps (Student job ‐ 1 month) Activities and interest Part of a local football club since childhood Travelling: India, Thailand, through Europe by train, … Exploring Africa and Asia in period September ‘16 – April ‘17