Wydział Elektrotechniki, Elektroniki, Informatyki i Automatyki / Faculty of Electrical, Electronic, Computer and Control Engineering / W2
Stały URI zbioruhttp://hdl.handle.net/11652/2
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Pozycja Nasze życie, doświadczenie, pasje...50 lat minęło..."Złoty dyplom" 1972-2022(Wydawnictwo Politechniki Łódzkiej, 2024) Mosiński, Franciszek. Red.; Ronke, Jerzy. Red.; Starzak, StanisławPozycja Reconfigurable Interactive Environments for the Future of Work(2023) Dominiak, Julia; Lodz University of TechnologyInevitable technological progress changes the very nature of work. On the one hand, more and more processes are subject to automation, and cooperating with a robotic workforce becomes an increasing challenge. On the other hand, society is increasingly embracing diversity, and there is an emerging social need to build diverse and inclusive spaces for work. My research attempts to answer these challenges by designing, implementing, and evaluating a novel type of work environment: an Interactive Reconfigurable Environment (IRE) IREs will leverage artificial intelligence techniques to dynamically adapt the physical surfaces around a user to provide an efficient, usable and inclusive interface. An adaptive work environment will support concentration and productivity while ensuring work safety in mixed environments - industrial, semi-automatic, automatic, and, above all, in situations of cooperation between people and autonomous agents.Pozycja Distribution(Wydawnictwo Politechniki Łódzkiej, 2023) Laska-Leśniewicz, AnnaPozycja Introduction(Wydawnictwo Politechniki Łódzkiej, 2023) Laska-Leśniewicz, Anna; Malinowska-Olszowy, MonikaPozycja Sustainable development and circular economy(Wydawnictwo Politechniki Łódzkiej, 2023) Laska-Leśniewicz, Anna; Malinowska-Olszowy, MonikaPozycja Sustainable design and process in textiles for higher education(Wydawnictwo Politechniki Łódzkiej, 2023) Malinowska-Olszowy, Monika (Red.); Laska-Leśniewicz, Anna (Red.); Glogar, Martinia, Ira (Rec.)"The E-Book on Sustainable Design and Process in Textiles is one of the several types of educational activities undertaken in the GreenTEX project. To the best authors‘ knowledge, it is necessary to change the awareness and approach to sustainability in the broad textile industry (and related ones). Future textile designers who in the future will create new products and solutions not only for the textile and clothing industry but also for others that use textile products (such as medicine, transport, hygiene industry and protective equipment) must have full knowledge and awareness of how to create new solutions in line with the goals of sustainable development. [...]"Pozycja Predictive User Interface for Emerging Experiences(Wydawnictwo Politechniki Łódzkiej, 2023) Kapusta, Paweł; Duch, PiotrThis research paper focuses on the use of predictive techniques to improve interaction with user interfaces in emerging experiences such as Virtual Reality, Augmented Reality, Metaverse, and touchless kiosks and dashboards. We propose the concept of intelligent snapping, which uses gaze tracking, head-pose tracking, hand tracking, as well as gesture recognition and hand posture recognition to catch the intent of the person rather than the actual input.Pozycja Grounded HyperSymbolic Representations Learned through Gradient-Based Optimization(Wydawnictwo Politechniki Łódzkiej, 2023) Łuczak, Piotr; Ślot, Krzysztof; Kucharski, JacekHyperdimensional computing is a novel paradigm, capable of processing complex data structures with simple operations. Its main limitations lie in the conversion of real world data onto hyperdimensional space, which due to lack of a universal translation scheme, oftentimes requires application-specific methods. This work presents a novel method for unsupervised hyperdimensional conversion of arbitrary image data. Additionally, this method is augmented by the ability of creating HyperSymbols, or class prototypes, provided that such class labels are available. The proposed method achieves promising performance on MNIST dataset, both in translating individual samples as well as producing HyperSymbols for downstream classification task.Pozycja Autoregressive Label-Conditioned Autoencoder for Controllable Image-To-Video Generation(Wydawnictwo Politechniki Łódzkiej, 2023) Kubicki, Kacper; Ślot, KrzysztofGenerating videos from a single image with user-controlled attributes is a complex challenge in the field of computer vision, despite the significant advancements recently made in the field. This paper presents a novel approach to tackle this issue, leveraging a convolutional autoencoder with supervised principal component analysis and autoregressive inference step. The efficacy of the proposed method is evaluated on two datasets – MNIST handwritten-digits and time-lapse photos of the sky. Results from both quantitative and qualitative analyses show that the proposed approach produces high-quality videos of variable duration with user-defined attributes, while preserving the integrity of original image contents.Pozycja A Convolutional and Recurrent Neural Network-based Approach for Speech Emotion Recognition(Wydawnictwo Politechniki Łódzkiej, 2023) Duch, Piotr; Wiatrowska, Izabela; Kapusta, PawełSpeech emotion recognition (SER) is a crucial aspect of humancomputer interaction. In this article, we propose a deep learning approach, using CNN and RNN architectures, for SER using both convolutional and recurrent neural networks. We evaluated the approach on four audio datasets, including CREMA-D, RAVDESS, TESS, and EMOVO. Our experiments tested various feature sets and extraction settings to determine optimal features for SER. Our results demonstrate that the proposed approach achieves high accuracy rates and outperforms state-of-the-art algorithms.