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International Conference on System Theory, control, and Computing (ICSTCC)

作者： Cristian Nicolae Butincu Marius Gavrilescu Department of Computer Science Faculty of Automatic Control and Computer Engineering "Gheorghe Asachi" Technical University of Iasi Romania

ISBN: (数字)9798350364293

ISBN: (纸本)9798350364309

This paper presents the performance analysis and the most significant design decisions taken to improve the runtime performance of a quality-diversity volume rendering framework, focusing on using parallel and distributed computing to optimize specific stages within the framework pipeline. After considering the benefits and trade-offs of several aspects like minimization of execution time, portability and hardware independence, we developed a hybrid CPU-GPU parallel computing model that increased the overall efficiency. Using this model, we achieved significant improvement in runtime speed for critical components of the framework compared to the sequential implementation. Additionally, this model can be applied in a wide range of scenarios, where the performance improvements provided by GPU processing can be complemented by CPU parallelization, with better runtime results.

关键词： Solid modeling Runtime Computational modeling Volume measurement Pipelines Performance gain Parallel processing Feature extraction Rendering (computer graphics) Hardware

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Algorithmic approach for audio segmentation

Algorithmic approach for audio segmentation

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International Conference on System Theory, control, and Computing (ICSTCC)

作者： Vasile-Silviu Sarmasanu Cristian Nicolae Butincu Vasile Ion Manta Andrei Stoleru Department of Computer Science Faculty of Automatic Control and Computer Engineering "Gheorghe Asachi" Technical University of Iasi Romania

ISBN: (数字)9798350364293

ISBN: (纸本)9798350364309

This paper presents an algorithmic approach for segmenting news broadcasts produced by television stations. The proposed approach uses advanced signal processing techniques to extract and classify audio segments from Romanian TV news broadcasts. By using derivative of 1-dimensional Gaussian filter and binary classification models, this paper aims to automatically identify and classify news segments into categories such as studio news, field news, commercials and music breaks. The primary objective of this paper is to develop a segmentation methodology optimized for reduced computational memory and quick processing. By leveraging efficient computational techniques, the news segmentation can be performed in a timely manner without compromising accuracy. This optimization is crucial for real-time or near-real-time applications within TV networks, facilitating tasks such as content monitoring and analysis.

关键词： TV Content management Accuracy Computational modeling Signal processing algorithms Signal processing Filtering algorithms Real-time systems Classification algorithms Reliability

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ChatGPT vs Sarcasm - How Well do State of the Art Language Models Handle Sarcasm? 9

ChatGPT vs Sarcasm - How Well do State of the Art Language M...

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9th International Conference on control, Decision and Information Technologies, CoDIT 2023

作者： Alexandru-Costin, Bǎroiu Matu Ştefan, Trǎuşan Politehnica University of Bucharest Faculty of Automatic Control and Computer Science Bucharest060042 Romania Research Institute for Artificial Intelligence 'Mihai Draganescu' of the Romanian Academy Bucharest050711 Romania

ISBN: (纸本)9798350311402

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. © 2023 IEEE.

关键词： Computational linguistics

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Making children read more and better by integrating natural language processing and gamification techniques into mobile applications 24

Making children read more and better by integrating natural ...

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24th International Conference on control Systems and computer science, CSCS 2023

作者： Voicu, George Catalin Ciolofan, Sorin N. Dragoicea, Monica Manager Emag Bucharest Romania Politehnica University of Bucharest Department of Computer Science Bucharest Romania Politehnica University of Bucharest Department of Automatic Control and Systems Engineering Bucharest Romania

ISBN: (纸本)9798350313390

It is well known that nowadays children tend to spend lot of time playing games on mobile devices at the expense of reading books. The current research aims to explore ways to design and develop a mobile application, attractive for children, that uses voice recognition technology and gamification techniques to help children read more and better and to track the progress of reading. The application is implemented with Flutter, Dart and Firebase and is addressed to children, the books being made available in encyclopedia format. By integrating technologies such as NLP and gamification the application aims to improve reading fluency among children, but also to give them the opportunity to accumulate new and exciting information in the same time. © 2023 IEEE.

关键词： Human computer interaction

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Pneumonia Detection from X-ray Images Using Convolutional Neural Networks

Pneumonia Detection from X-ray Images Using Convolutional Ne...

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International Conference on control Systems and computer science (CSCS)

作者： Viorel Dediu Andreea Udrea Department of Automatic Control and Systems Engineering Faculty of Automatic Control and Computer Science Univesity Politehnica of Bucharest Bucharest Romania

Pneumonia is one of the top causes of death in Romania and early detection of this disease improves the recovery chances and shortens the length of hospitalization. In this work, we develop a solution for automatic pneumonia detection based on convolutional neural networks. Four network models are investigated. They are trained on 4.163 images from a public dataset and tested on 530 images. The best results are obtained by one of the proposed models conducting to a sensitivity of 98.72%, an accuracy of 89.81%, and ROC 93.46%. Thus, this research proposes a lightweight screening tool that can help triaging the patients with pneumonia.

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Attack Stealthiness and Detection of Multiagent Systems: A Zero-Sum Formulation 63

Attack Stealthiness and Detection of Multiagent Systems: A Z...

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63rd IEEE Conference on Decision and control, CDC 2024

作者： Zhu, Shiyong Wang, Miaomiao Chen, Jie Rantzer, Anders City University of Hong Kong Department of Electrical Engineering Hong Kong Hong Kong University of Science and Technology Department of Electronic and Computer Engineering Hong Kong Lund University Department of Automatic Control Lund Sweden

ISBN: (纸本)9798350316339

Cybersecurity has in recent years emerged as a paramount concern in the design and operation of industrial systems and civil infrastructures, due mainly to their susceptibility to malicious cyber attacks which take advantage of the vulnerability of communication networks and IT devices. In this paper, we investigate such an attack and counter attack scenario by considering multiagent systems, a somewhat basic prototype of cyberphysical systems. We study false data injection attacks launched on the agent sensors, and possible defense of such attacks at the agent actuators. The primary issue under consideration is the stealthiness of the attacks, while steering a multiagent system away from its consensual state. We propose a metric to quantify the stealthiness, and formulate the stealthiness problem as one of zero-sum games. We solve the problem explicitly, which gives rise to a fundamental bound on the stealthiness achievable, and as well optimal attack and defense strategies that achieve the optimal stealthiness, both of which can be obtained in terms of certain augmented controllability Gramians associated with the agents. The stealthiness bound is seen to depend on agent dynamics and network characteristics including a measure of connectivity. © 2024 IEEE.

关键词： Cyber attacks

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A note on a ode model of micro rna-dependent regulation of messenger rna levels

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UPB Scientific Bulletin, Series A: Applied Mathematics and Physics 2021年第4期83卷 171-176页

作者： Olteanu, Mircea Ştefan, Radu Department of Mathematical Methods and Models Faculty of Applied Sciences University "Politehnica" of Bucharest Romania Department of Automatic Control and Systems Engineering Faculty of Automatic Control and Computer Science University "Politehnica" of Bucharest Romania

We study the qualitative behavior (invariance, boundedness and equilibria) of the solutions of a mathematical model describing the dynamics of microRNA AGO complexes and mRNA targets interaction. © 2021, Politech... 详细信息

关键词： Ordinary differential equations

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GaitPT: Skeletons Are All You Need For Gait Recognition

arXiv

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arXiv 2023年

作者： Catruna, Andy Cosma, Adrian Radoi, Emilian Faculty of Automatic Control and Computer Science University Politehnica of Bucharest Romania

The analysis of patterns of walking is an important area of research that has numerous applications in security, healthcare, sports and human-computer interaction. Lately, walking patterns have been regarded as a unique fingerprinting method for automatic person identification at a distance. In this work, we propose a novel gait recognition architecture called Gait Pyramid Transformer (GaitPT) that leverages pose estimation skeletons to capture unique walking patterns, without relying on appearance information. GaitPT adopts a hierarchical transformer architecture that effectively extracts both spatial and temporal features of movement in an anatomically consistent manner, guided by the structure of the human skeleton. Our results show that GaitPT achieves state-of-the-art performance compared to other skeleton-based gait recognition works, in both controlled and in-the-wild scenarios. GaitPT obtains 82.6% average accuracy on CASIA-B, surpassing other works by a margin of 6%. Moreover, it obtains 52.16% Rank-1 accuracy on GREW, outperforming both skeleton-based and appearance-based *** Codes 68U10 © 2023, CC BY-NC-ND.

关键词： Human computer interaction

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Performance Analysis for CRUD Operations in Relational Databases from Java Programs Using Hibernate 24

Performance Analysis for CRUD Operations in Relational Datab...

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24th International Conference on control Systems and computer science, CSCS 2023

作者： Bonteanu, Alexandru-Marius Tudose, Catalin Anghel, Ana Magdalena 'Politehnica' University of Bucharest Department of Computer Science Bucharest Romania Luxoft Romania Learning Management Department Bucharest Romania 'Politehnica' University of Bucharest Department of Automatic Control Bucharest Romania

ISBN: (纸本)9798350313390

Data is information or a collection of information about something. Almost every application nowadays needs to persist data so that they can keep track of their state in case of any trouble that might appear. Databases are the main piece of an application for persisting data and they can be of two types: SQL or NoSQL. SQL (Structured Query Language) is a query language used to create, read, update, or delete (CRUD operations) the information in most relational databases. Data is structured in a set of tables in the relational database model, with rows as entries and columns as specific attributes of the entry. Over the years, new relational database management systems appeared. A comparison between some of the most used relational database management systems tied to a Java application using Hibernate is worth analyzing in the given context. The evaluation is done on timing for each CRUD operation by using Java Microbenchmark Harness, because these are the most used operations, for thousands and hundreds of thousands of entries. Depending on the majority type of operation, switching the database management system might help. © 2023 IEEE.

关键词： Query languages

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Recognition of Red Light Running Behavior of Electric Bicycles in Monitoring Video 5

Recognition of Red Light Running Behavior of Electric Bicycl...

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5th International Conference on computer Network, Electronic and Automation, ICCNEA 2022

作者： Bai, Xiaojun Wang, Shenhang Wang, Zongxin Duan, Jiahao Xi'an Technological University School of Computer Science and Engineering Xi'an China Beijing Aerospace Automatic Control Institution Beijing China

ISBN: (数字)9781665491099

ISBN: (纸本)9781665491099

In order to accurately and efficiently identify the behavior of running red light by electric bicycles, this paper proposed an intelligent recognition model combining target detection and tracking, cross-road analysis and red light running decision. This model takes video frame sequence as input, firstly, electric bicycles and traffic lights are detected by YOLO network, and the bicycles are tracked in real time by DeepSort algorithm to get its trajectory. Then, LSTM is used to analysis the trajectory and distinguish whether there is behavior of crossing road. Finally, make decision of illegal behavior by integrating the state of signal light and the behavior of crossing road. In YOLO, MobileNet is introduced to replace the original CSPDarknet53 backbone, which greatly simplifies the network structure and improves detection efficiency. Dropout is introduced into LSTM to improve detection accuracy. Experimental results show that the optimized model achieves balance between accuracy and efficiency, can detect in real time on the experimental data set, and the final accuracy of recognition reach 94.9 %. © 2022 IEEE.

关键词： Target tracking

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