Gábor Élo

57189245886

Publications - 10

Enhanced Floating Plastic Waste Detecting on Offsets of River Tisza, Hungary

Gábor Paller Gábor Élo

Publication Name: Chemical Engineering Transactions

Publication Date: 2023-01-01

Volume: 107

Issue: Unknown

Page Range: 73-78

Description:

The topic was to spot and potentially measure the amount of floating waste on the river Tisza and its offsets. It was a two-year long study in which a complete system was designed and built and performed measurements 50-70 % of waste dumped into rivers are plastics. Ranging from micro-plastics (< 0.1 μm) to macro-plastics (>5 cm). The nature of the plastic pollution depends greatly on the source of the pollution. In the river Tisza and its offsets, the pollution is mainly coming from landfills located near the upstream. In the first phase, an experimental motion-detection camera system was developed to try out multiple configurations during the research. The open-source motion software has been implemented, running on Raspberry Pi 3 as data collectors. The system uploaded data into a data server running in the cloud (Azure). The camera system was operating for more than a year and collected over 440,000 pictures. At the end of this phase, the conclusion was that individual plastic objects are not recognisable, only bigger groups of them. On top of this, we have seen that the optical noise is very high, rendering many of the pictures unfit for analysis, but the results still served as a very good starting point for the collection of AI training data. During the second phase, software was experimented. YOLOv3 and Faster R-CNN have been applied, eventually settling for Faster R-CNN with a ResNet-50-FPN base network.

Open Access: Yes

DOI: 10.3303/CET23107013

Disruptive Proposal to Fill One Gap in Waste Collection in Hungary Regarding Plastic Recycling

Gábor Élo Katalin Bándy

Publication Name: Chemical Engineering Transactions

Publication Date: 2023-01-01

Volume: 107

Issue: Unknown

Page Range: 97-102

Description:

Plastic waste is one of the biggest problems facing our planet. From mountains to oceans, it pollutes our environment, can affect human health, and destroy ecosystems. While global plastic production was 1.5 Mt in 1950, by 2021, it will have risen to 390 Mt. Plastic products have an average lifespan of 10 y but can take up to 500 y to degrade. Not all people can be persuaded to do an activity immediately, even if the activity is genuinely beneficial or useful to society. An example is the case of plastic waste that the public can collect in the plastic waste recovery process. This is a critical point in the process, which needs to be taken in several directions to facilitate. The aim of this research is to develop a disruptive proposal for an innovative solution for the mandatory packaging return in Hungary with domestically developed recycle vending machines. This study outlines several possible solutions, such as multifunctional recycle vending machines, their placement at strategic locations, the use of innovative technologies, and the implementation of environmentally friendly operations at the design stage. The proposals set out the user requirements for the whole system and the steps needed to implement it in society.

Open Access: Yes

DOI: 10.3303/CET23107017

Modular code generation for creating IoT applications

Gábor Paller Gábor Élo

Publication Name: International Conference on Electrical Computer Communications and Mechatronics Engineering Iceccme 2022

Publication Date: 2022-01-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

This paper builds on an earlier work that aims to generate code for connected digital systems (IoT, Internet of Things). Orcc-IoT was the adaptation of the Orcc dataflow design environment and code generator to the IoT problem area. IoT systems are characterized by heterogeneity of both the software and hardware environments therefore code generators targeting them must be able to handle embedded, client and server enviroments too. The first version of Orcc-IoT provided simplistic code generators. The extensions presented in this paper add embedded and server-side modules and more specialized wireless communication options to test Orcc-IoT's modular architecture.

Open Access: Yes

DOI: 10.1109/ICECCME55909.2022.9987980

Dataflow-based heterogeneous code generator for IoT applications

Endri Bezati Nebojša Taušan Gábor Paller Gábor Élo Gabor Farkas

Publication Name: Modelsward 2019 Proceedings of the 7th International Conference on Model Driven Engineering and Software Development

Publication Date: 2019-01-01

Volume: Unknown

Issue: Unknown

Page Range: 428-434

Description:

The latest wave of connected digital systems, nowadays called Internet of Things (IoT) promises various gains, especially in terms of significant ease of data access. A large number of different platforms for IoT applications, however, makes their development difficult and time-consuming leading to projects that are failed to be on time, on budget or fully completed. To address the platform heterogeneity, this paper presents the ongoing work on development environment called Orcc-IoT. Orcc-IoT facilitates the development of IoT by combining dataflow modelling language, heterogeneous code generator and the library of ready-made IoT actors. The utilisation of Orcc-IoT in development is expected to increase the quality, and to reduce the development costs and time-to-market of IoT applications.

Open Access: Yes

DOI: 10.5220/0007496804280434

Dataflow-based Heterogeneous Code Generator for IoT Applications

Endri Bezati Nebojša Taušan Gábor Paller Gábor Élo Gabor Farkas

Publication Name: International Conference on Model Driven Engineering and Software Development

Publication Date: 2019-01-01

Volume: Unknown

Issue: Unknown

Page Range: 326-332

Description:

The latest wave of connected digital systems, nowadays called Internet of Things (IoT) promises various gains, especially in terms of significant ease of data access. A large number of different platforms for IoT applications,however,makestheirdevelopmentdifficultandtime-consumingleadingtoprojectsthatarefailed to be on time, on budget or fully completed. To address the platform heterogeneity, this paper presents the ongoing work on development environment called Orcc-IoT. Orcc-IoT facilitates the development of IoT by combining dataflow modelling language, heterogeneous code generator and the library of ready-made IoT actors. The utilisation of Orcc-IoT in development is expected to increase the quality, and to reduce the development costs and time-to-market of IoT applications.

Open Access: Yes

DOI: 10.5220/0007496804260432

Cost-efficient localisation system for agricultural use cases

Sébastien Aubin Olivier Camp Gábor Paller Gábor Élo

Publication Name: Sensornets 2017 Proceedings of the 6th International Conference on Sensor Networks

Publication Date: 2017-01-01

Volume: 2017-January

Issue: Unknown

Page Range: 142-149

Description:

Connected agricultural applications often depend on exact localisation solutions. Often the term “precision agriculture” implies a technology that identifies the location of the livestock, crop, field of agricultural machinery with more or less of precision. While precision requirements vary, the localisation often has to be quite precise like sub-meter or even decimeter precision. Dual-band GPS solutions are able to satisfy these high-precision requirements but these equipments are quite costly and their purchase is often regulated. This paper presents two agricultural use cases and the combination of low-cost GPS and short-range localisation systems that are able to satisfy high-precision requirements for fraction of the costs of dual-band GPS.

Open Access: Yes

DOI: 10.5220/0006137501420149

Demonstration of a more comfortable, seamless measuring setting for EEG-based experiments

Péter Szármes Gábor Élo

Publication Name: 6th IEEE Conference on Cognitive Infocommunications Coginfocom 2015 Proceedings

Publication Date: 2016-01-25

Volume: Unknown

Issue: Unknown

Page Range: 655

Description:

Our research focuses on collecting high quality EEG signals without conductive gel and wires. During the demonstration we will show that the subject can take a normal looking cap, and then a tablet displays the EEG signals.

Open Access: Yes

DOI: 10.1109/CogInfoCom.2015.7390664

Energy-efficient Operation of GSM-connected Infrared Rodent Sensor

Gábor Paller Gábor Élo

Publication Name: Sensornets 2016 Proceedings of the 5th International Confererence on Sensor Networks

Publication Date: 2016-01-01

Volume: Unknown

Issue: Unknown

Page Range: 37-44

Description:

Camera sensors have been deployed in the agriculture for various use cases. Most of the applications tried to infer the health and development of the plants based on image data in different wavelength domains. In this paper, we present our research of rodent population estimation with infrared camera sensors. The usual camera sensor applications in the agricultural domain are quite simple from the sensor architecture point of view as the environment rarely changes. Image capture/transmission at preconfigured moments is usually enough. Rodents move quickly so the sensor must be able to capture images with low capture time interval. As the data link to the server backend is relatively slow, this fast capture rate may require image processing capability in the sensor. The paper analyzes the effects of such an image processing capability, in particular the power consumption trade-offs. Inadequate power management support of the selected embedded Linux platforms is identified as a problem and proposals are made for improvement.

Open Access: Yes

DOI: 10.5220/0005628500370044

Efficient power consumption strategies for stationary sensors connected to GSM network

Gábor Paller Péter Szármes Gábor Élo

Publication Name: Sensornets 2015 4th International Conference on Sensor Networks Proceedings

Publication Date: 2015-01-01

Volume: Unknown

Issue: Unknown

Page Range: 63-68

Description:

The number of large sensor systems are rapidly growing nowadays in many fields. Well-designed Big Data solutions are able to manage the enormous data flow and create real business benefits. One dynamically growing application area is precision farming. It requires robust and energy-efficient sensors, because the devices are placed outdoors, often in harsh conditions, and there is no power outlet in the middle of a corn field. Power efficiency is one of the major themes of the Internet of Things (IoT). According to the IoT vision, embedded sensors send their data to processing units (either located near to the sensor or on some intermediate gateway device or in the cloud) using heterogeneous transport networks. Some sensors employ short-range network like Bluetooth and some gateway device like a tablet. Other sensors directly connect to wide-area networks like cellular networks. This paper will analyse different communication patterns accomplished over GSM network from the viewpoint of the energy consumption of the sensor device with the assumption that the sensor is stationary. The measurements were done using two different GSM modems designed for embedded systems to ensure that the results represent a wider picture and not some implementation property of a particular GSM modem. Recommendations are given about the strategies applications should follow in order to minimize the energy consumption of their GSM subsystems.

Open Access: Yes

DOI: 10.5220/0005262500630068

Sustainability of Large AI Models: Balancing Environmental and Social Impact with Technology and Regulations

Péter Szármes Gábor Élo

Publication Name: Chemical Engineering Transactions

Publication Date: 2023-01-01

Volume: 107

Issue: Unknown

Page Range: 103-108

Description:

Artificial Intelligence (AI) systems, particularly large language models, have shown remarkable advancements, revolutionising various fields across industries. However, the sustainability of building large AI models with billions of parameters has become a subject of concern due to their significant environmental and social impact. The training of such models consumes enormous amounts of water and energy and emits substantial carbon emissions, contributing to climate change as data centres heavily rely on fossil fuels. This article summarises the current situation and explores the benefits and challenges of large AI models, emphasising the environmental impact and proposing strategies towards sustainability. Special attention is given to the social challenges, including accessibility, job displacement, biases, and data privacy concerns. Finally, the article advocates for the formulation of green and good AI practices standards for the future. To achieve sustainability, regulations are suggested to ensure transparency and accountability while promoting innovation-friendly frameworks. The authors see that while there is more progress in technology and infrastructure to address environmental impacts, social impacts are more neglected, and they are arguing for more detailed regulation as a solution.

Open Access: Yes

DOI: 10.3303/CET23107018