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High Line je jedním z nejnavštěvovanějších veřejných prostorů na světě. Denně sem směřují tisíce lidí, aby si ověřili zážitek z přírodně koncipovaného parku, procházejícího napříč galerijní čtvrtí západního Manhattanu. V době, kdy ho architekti Ricardo Scofi dio a Matthew Johnson ze studia Diller Scofi dio + Renfro, ve spolupráci s Pietem Oudolfem a s Jamesem Cornerem (Field Operations) koncipovali, neexistovalo ještě velké množství obdobných příkladů. Sedm let po dokončení první fáze parku lze již hovořit o téměř šedesáti realizovaných projektech inspirovaných úspěchem High Line (Corner et al., 2015). O tom, jaké byly záměry autorů při rekonstrukci této jedinečné dopravní konstrukce a jaká byla úskalí designu celé realizace v kontextu její udržitelnosti, mnohé napoví rozhovor, který se uskutečnil s architekty Ricardem Scofi diem a Matthew Johnsonem 2. listopadu 2015 v newyorském studiu Diller Scofi dio + Renfro se sídlem v budově Starrett–Lehigh (v západní části Chelsea na 26. ulici). Rozhovor s autory architektonického řešení parku High Line, architekty Ricardem Scofi diem a Matthew Johnsonem, uzavírá sérii tří interview s tvůrci a plánovači veřejných prostorů a parků v New Yorku. New York’s High Line is one of the most visited public areas in the world. Thousands of people go there every day to experience a nature-based park in the gallery quarter of West Manhattan. There had not been many of such places at the time when Ricardo Scofi dio and Matthew Johnson of the Diller Scofidio + Renfro studio designed the park in cooperation with Piet Oudolf and James Corner. It is said that almost sixty projects, inspired by the success of High line Park, were carried out over the fi rst seven years after the completion and opening of the High Line. The intentions of the designers for the reconstruction of this unique transportation structure and the difficulties with implementing the project in the context of sustainability were the focus of an interview with designers Ricardo Scofi dio and Matthew Johnson, conducted on 2 November 2015 in the Diller Scofidio + Renfro studio in the Starrett–Lehigh Building in Chelsea, New York. This interview concludes a series of three interviews with the planners and developers of public areas and parks in New York.

This work is focused on the image processing using the OpenCV library and detectingmoving objects in video using convolutional neural networks. The created application can detectmoving objects in the video and contains additional functionality. The application includes theYOLO convolutional model, which helps to detect moving objects.

In this paper, we present two pipelines in order to reduce the feature space for anomalydetection using the One Class SVM. As a first stage of both pipelines, we compare the performanceof three convolutional autoencoders. We use the PCA method together with t-SNE as the first pipelineand the reconstruction errors based method as the second. Both methods have potential for theanomaly detection, but the reconstruction error metrics prove to be more robust for this task. Weshow that the convolutional autoencoder architecture doesn’t have a significant effect for this task andwe prove the potential of our approach on the real world dataset.

The contribution deals with design and analysis of controllable second-order frequency filter which operates in the current mode and where the main element is the current amplifier DACA (Digitally Adjustable Current Amplifier) and also MOTA (Multiple Output Transconductance Amplifier) is used. The paper presents a description of the proposed circuit and results of computer simulations for circuit in single-ended and fully-differential variant. Four simulation models with different properties were used for simulating of the DACA active element in the proposed circuit.

Phoebe Apperson Hearst měla velmi úspěšného vlastního syna Williama, který byl ale více jako jeho otec: tvrdý obchodník. Našla však jemnou, uměleckou duši v malíři Orrinu Peckovi (1860–1921), který byl údajně gay a který ji, ještě za života své vlastní matky, začal oslovovat „má druhá mámo.“ Na základě podrobného výzkumu jejich vzájemné korespondence v Peckově pozůstalosti se můžeme ptát, jak moc si byla progresivní, bohatá žena 19. století, jakou byla Phoebe Hearst, vědoma Peckovy sexuality a pokud ano, jestli s tím neměla problém, nebo šlo o nevyřčené tajemství mezi nimi? Jejich příběh představí historik umění Ladislav Zikmund-Lender. Phoebe Apperson Hearst had a very successful son of William, but he was more like his father: a tough businessman. However, she found a delicate, artistic soul in the painter Orrin Peck (1860–1921), who was allegedly gay and who, while still his own mother's life, began to address her as “my second mother.” Based on a detailed study of their correspondence in Peck's estate, we may ask how much a progressive, rich 19th-century woman like Phoebe Hearst was aware of Peck's sexuality, and if so, if she had no problem with it, or was it an unspoken secret between them? Their story will be presented by art historian Ladislav Zikmund-Lender.

We propose the model combining convolutional neural network with multiple instancelearning in order to localize the premature atrial contraction and premature ventricular contraction.The model is based on ResNet architecture modified for 1D signal processing. Model was trainedon China Physiological Signal Challenge 2018 database extended by manually labeled ground truthpositions of premature complexes. The presented method did not reach satisfying results in PAClocalization (with dice = 0.127 for avg-pooling implementation). On the other hand, results of localizationof PVCs were comparable with other published studies (with dice = 0.952 for avg-poolingimplementation).

SILON s.r.o is manufacturer of polyester fibres which get used in wide range of applications, many of them requiring highest quality material. Due to manufacturing processes, some fibres are not drawn properly and stay in the fiber as bundles, or brittle, thick threads. Proposed lab station should automate process of quality check of each batch. It consists of linescan camera scanner and computer with software for detection and analysis of defects.

This work deals with the use of a convolutional neural network in the area of segmentation of images acquired with the use of a transmission electron microscope. Paper describes programming tool for image data augmentation, used neural network topology, and it also provides information about model training. This neural network topology delivered excellent results on provided data from the Thermo Fisher Scientific company, which will serve as a starting point for internal company research in image segmentation area.

To protect the vineyards from starlings is very costly and ineffective with the available resources. In my work, I have designed a detection module which consist of four microphones, each one is directed to the cardinal point and based on the intensity of sound, the module will provide the information about the direction where the flock is located, in the vineyard that passes to the control module and scares the flocks. The detection module processes the signal in a Raspberry Pi 4 single board computer using an artificial neural network algorithm.

This paper deals with proposed 2nd order universal frequency filter. In design of this frequency filter, multiple-output current follower (MO-CF) and digitally adjustable current amplifier (DACA) have been used. The frequency filter is proposed with ability to control the pole frequency without disturbing the selected quality factor by parameter of DACA active elements in form of integrated circuit. Design is supported by simulation and also measurement results.