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International Conference on control, Decision and Information Technologies (CoDIT)

作者： Băroiu Alexandru-Costin Trăuşan Matu Ştefan Faculty of Automatic Control and Computer Science Politehnica University of Bucharest Bucharest Romania Research Institute for Artificial Intelligence “Mihai Draganescu” of the Romanian Academy Bucharest Romania

The work presented in this paper highlights the ability of state-of-the-art Large Language Models to generate sarcasm. In the recent months, ChatGPT has become increasingly popular and has started a new wave of interest in AI, especially on the non-scientific community. The model has displayed incredible feats, capable of producing human level results in a variety of tasks. To this end, sarcasm generation comes as a natural evaluation of the model's performance, as it was proven to be a highly difficult task, even for humans. As such, ChatGPT was tested in three experimental setups, no instructions, instructed to be sarcastic and instructed to impersonate a sarcastic character. The results generated by the model were benchmarked with a previous version, GPT2. Quantitative and qualitative analyses of the results were conducted, with ChatGPT achieving the highest BLEU score and generating the best results, outclassing its predecessor.

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Analysis and Prediction of Outdoor Human Mobility Using Collaborative Learning

Analysis and Prediction of Outdoor Human Mobility Using Coll...

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International Conference on Distributed Computing in Sensor Systems (DCOSS)

作者： Ioana-Valentina Marin Eduard-Claudiu Ciurezu Radu-Ioan Ciobanu Ciprian Dobre Faculty of Automatic Control and Computers National University of Science and Technology Politehnica Bucharest National Institute for Research and Development in Informatics Bucharest Romania

ISBN: (数字)9798350369441

ISBN: (纸本)9798350369458

Movement is fundamental to human existence. In today’s digital age, our ability to travel shapes our social interactions, cultural experiences, and even our health. Understanding and predicting how people move outdoors is crucial for a variety of reasons. Thus, it has easily become an area of research for tech-savvy people who aim to build digital tools that use human mobility data to study the dynamics of people. Human mobility in outdoor scenarios refers to the movement of people outside their homes, cities, or countries. Moreover, as the advancement of technology significantly shapes people’s lives, they are constantly connected on different social networks and unconsciously produce substantial amounts of data by exposing their daily activities to these networks. Thus, harnessing the large volume of data extracted through mobile apps and beyond, allows for improved tourism services, urban planning modalities or brings additional help in studying the migration of masses of people in case of natural disasters. Thus, the current paper aims to describe the concept of prediction and analysis applied in the field of human mobility, from the types of data that are used, to how we can obtain existing datasets and their sources, in the context of predicting the next location of a person or urban agglomeration in a given geographical area described by the data fetched. We finally argue the utilization of federated learning in the context of outdoor human mobility.

关键词： Shape Federated learning Social networking (online) Disasters Urban planning Information age Mobile applications

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Tracking Trajectory by Using The Polynomial Method for ACC System Based on Smart Car Platform 17

Tracking Trajectory by Using The Polynomial Method for ACC S...

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17th International Conference on Engineering of Modern Electric Systems, EMES 2023

作者： Luu, Duc Lich Hung, Nguyen Viet Lupu, Ciprian University of Science and Technology The University of Danang Faculty of Transportation Mechanical Engineering Da Nang550000 Viet Nam East Asia University of Technology Faculty of Information Technology Bac Ninh Viet Nam University Politehnica of Bucharest Department of Automatic Control and Systems Engineering Bucharest Romania

ISBN: (纸本)9798350310634

A well-known advanced driver assistance technology that can be employed for that is the Adaptive Cruise control System (ACC). Cars equipped with ACC system are to control the car speed to follow a driver's set speed closely when there is no leading car. When a slower leading car is present based on distance sensor, the ACC controlled car are able to keep desired distance with respect to the position and velocity of the car in front. This paper presents a design methodology of Adaptive Cruise control (ACC) system for two smart car platform consist of the leading smart car and a host smart car move on a single lane on a laboratory installation. RST algorithm in the multi algorithms structure is proposed to design in real-time architecture for ACC system. RST algorithm is one of the most effective solutions for the real-time control of nonlinear systems or working regimes. The results of the experiment have been conducted to illustrate the effectiveness of the proposed algorithm. © 2023 IEEE.

关键词： Adaptive cruise control

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End-to-End Lip Reading in Romanian with Cross-Lingual Domain Adaptation and Lateral Inhibition

arXiv

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arXiv 2023年

作者： Mănescu, Emilian-Claudiu Smădu, Razvan-Alexandru Avram, Andrei-Marius Cercel, Dumitru-Clementin Pop, Florin Faculty of Mathematics and Computer Science University of Bucharest Romania Faculty of Automatic Control and Computers University Politehnica of Bucharest Romania National Institute for Research and Development in Informatics - ICI Bucharest Romania

Lip reading or visual speech recognition has gained significant attention in recent years, particularly because of hardware development and innovations in computer vision. While considerable progress has been obtained, most models have only been tested on a few large-scale datasets. This work addresses this shortcoming by analyzing several architectures and optimizations on the underrepresented, short-scale Romanian language dataset called Wild LRRo. Most notably, we compare different backend modules, demonstrating the effectiveness of adding ample regularization methods. We obtain state-of-the-art results using our proposed method, namely cross-lingual domain adaptation and unlabeled videos from English and German datasets to help the model learn language-invariant features. Lastly, we assess the performance of adding a layer inspired by the neural inhibition mechanism. © 2023, CC BY.

关键词： Speech recognition

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Bin Packing Scheduling Algorithm with Energy Constraints in Cloud Computing 17

Bin Packing Scheduling Algorithm with Energy Constraints in ...

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17th IEEE International Conference on Intelligent computer Communication and Processing, ICCP 2021

作者： Tudosoiu, Marius-Florinel Pop, Florin University Politehnica of Bucharest Faculty of Automatic Control and Computer Science Romania National Institute for Research and Development in Informatics - ICI Bucharest Romania

ISBN: (纸本)9781665409766

Cloud computing systems are the backbone of our technology needs in everyday life and are one of the major electric energy consumers globally. Any improvement that can be added to the energy efficiency of these vast systems constitutes a big gain worldwide in our never-ending battle with climate change and pollution. This paper proposes a new algorithm for task scheduling in Cloud systems based on the bin packing algorithm using a greedy implementation in conjunction with an optimization algorithm for resource task execution. By executing tasks in as much time as possible without impacting customer experience too much due to latency and by using resources at close to 100% in order to use the minimum number of servers we can achieve on average a 3.79% increase in energy efficiency. On top of that, our algorithm is robust to extreme variations of incoming task deadline distributions. © 2021 IEEE.

关键词： Energy efficiency

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End-to-End Lip Reading in Romanian with Cross-Lingual Domain Adaptation and Lateral Inhibition

End-to-End Lip Reading in Romanian with Cross-Lingual Domain...

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IEEE WIC ACM International Conference on Web Intelligence (WI)

作者： Emilian-Claudiu Mănescu Răzvan-Alexandru Smădu Andrei-Marius Avram Dumitru-Clementin Cercel Florin Pop Faculty of Mathematics and Computer Science University of Bucharest Romania Faculty of Automatic Control and Computers University Politehnica of Bucharest Romania National Institute for Research and Development in Informatics - ICI Bucharest Romania

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Smart Solutions to Keep Your Mental Balance 9th

Smart Solutions to Keep Your Mental Balance

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9th International Conference on Information Technology and Quantitative Management, ITQM 2022

作者： Gifu, Daniela Pop, Eugen Institute of Computer Science Romanian Academy - Iasi Branch Bulevardul Carol I 8 700505 Romania Faculty of Computer Science alexandru Ioan Cuza University General Berthelot 16 Iasi700483 Romania Faculty of Automatic Control and Computers University politehnica of Bucharest Splaiul Independentei 313 Bucharest060032 Romania

Due to the coronavirus pandemic international conflicts, dramatic changes of daily living have been enforced, including new ways of providing patient assistance, based on artificial intelligence. The influence of these changes on people's mental health is still insufficiently analyzed and explored. Chatbots like Woebot, Wysa and Tess are gaining popularity, being attractive and easy to use. These achievements led us to develop a new application, being still in the testing phase, which has a positive impact on mental healthcare issues. It is a conversational system capable to diagnose people's negative, depressive, and anxious emotions during chatting, and to act as a psychological therapist and virtual friend. The proposed system, throughout the conversation, succeeds to decrease the patient's insecurity sentiments, by comforting their mood. In fact, an intelligent assistant for different mental health issues like stress, anxiety and depression, could become a very helpful information system. © 2022 The Authors. Published by Elsevier B.V.

关键词： Coronavirus

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Development of an "Artificial Lung" System for Use in Indoor Air Quality Testing 21st

Development of an "Artificial Lung" System for Use in Indoor...

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21st Polish control Conference, PCC 2023

作者： Kozyra, Andrzej Lipczynska, Aleksandra Koper, Piotr Babisz, Radoslaw Madej, Damian Nowakowski, Konrad Karwatka, Jakub Tomczok, Dominik Department of Measurements and Control Systems Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Gliwice Poland Department of Heating Ventilation and Dust Removal Technology Faculty of Energy and Environmental Engineering Silesian University of Technology Gliwice Poland

ISBN: (纸本)9783031351693

"Artificial lung" is a device that simulates breathing process of occupants in a room. This allows you to safely test, e.g., the impact of HVAC systems on the spread of pathogens. The paper describes the concept of the device, its construction and performed tests. The project was implemented by students of two faculties: automatic control, Electronics and computer science, and Energy and Environmental Engineering. Project supervisors from both faculties provided substantive supervision and support for students. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.

关键词： Air quality

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Deep Neural Networks for Halyomorpha Halys Detection

Deep Neural Networks for Halyomorpha Halys Detection

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Mediterranean Conference on control and Automation (MED)

作者： Alexandru Dinca Nicoleta Angelescu Loretta Ichim Dan Popescu Faculty of Automatic Control and Computer Science University Politehnica of Bucharest Bucharest Romania Faculty of Electrical Engineering Electronics and Information Technology Valahia University of Targoviste Targoviste Romania

Pest detection and identification in a timely manner is a crucial step for precision agriculture. Halyomorpha Halys is a common pest whose negative effects are known in agricultural areas and on various crops. The present work implemented and studied four performant neural networks, VGG19_BN, EfficientNetB7, DenseNet161, and ResNet152 for the detection of these insects. Although the detection of these insects in the natural environment through automated means, excluding traps, is a challenge, the results obtained are promising.

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MCWDST: a Minimum-Cost Weighted Directed Spanning Tree Algorithm for Real-Time Fake News Mitigation in Social Media

arXiv

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arXiv 2023年

作者： Truică, Ciprian-Octavian Apostol, Elena-Simona Nicolescu, Radu-Cătălin Karras, Panagiotis Computer Science and Engineering Department Faculty of Automatic Control and Computers National University of Science and Technology Politehnica Bucharest Bucharest060042 Romania Department of Computer Science University of Copenhagen Copenhagen2100 Denmark

The widespread availability of internet access and handheld devices confers to social media a power similar to the one newspapers used to have. People seek affordable information on social media and can reach it within seconds. Yet this convenience comes with dangers;any user may freely post whatever they please and the content can stay online for a long period, regardless of its truthfulness. A need arises to detect untruthful information, also known as fake news. In this paper, we present an end-to-end solution that accurately detects fake news and immunizes network nodes that spread them in real-time. To detect fake news, we propose two new stack deep learning architectures that utilize convolutional and bidirectional LSTM layers. To mitigate the spread of fake news, we propose a real-time network-aware strategy that (1) constructs a minimum-cost weighted directed spanning tree for a detected node, and (2) immunizes nodes in that tree by scoring their harmfulness using a novel ranking function. We demonstrate the effectiveness of our solution on five real-world datasets. © 2023, CC BY-NC-ND.

关键词： Trees (mathematics)

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