61 research outputs found
Impact of neural network depth on split federated learning performance in low-resource UAV networks
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Strength readiness of lower limb volleyball players in selected specializations
No full textAuthor: Tomáš Houda Title: Strength readiness of lower limb volleyball players in selected specializations Objectives: Strength readiness of the lower limbs of extra-league volleyball players. Study of a test battery to measure the given area. Then I will compare two extra-league teams and players from different positions (hitter vs. hitter, setter vs. setter...). From each position, I will choose one player and compare him with a player from the other team. In addition, I will focus on injuries to the lower limbs in volleyball. Methods: Observation and comparison of selected individuals from designated positions in volleyball and comparison of their strength readiness within their intensities in training, gyms, and matches. Annotation: This study researches lower limb strength readiness in volleyball players and its relationship to volleyball performance. The aim is to evaluate specific exercise methods and training programs aimed at strengthening the muscles of the lower limbs in these athletes. Through the analysis of various exercise interventions and the testing of volleyball players, the effects of these programs on improving performance, such as kick power, jumping explosiveness, stability, and speed of movement on the court, are examined. The results of this study may provide a more..
New attempts at Electronic Documents in Transport. Bolero - the end of the experiment, the beginning of the future?
No full textIn this thesis the author examines a 'revolution' taking place in the shipping industry brought on by the development of computerisation, electronic commerce and the change from paper documentation to electronic documentation in the carriage of goods by sea. The focus of the paper is on Bolero, a project of the European Community beginning in the early 1990s and which has been used commercially since September 1999. In this paper the author follows the Bolero project from its inception as an experiment through to its commercial application. The question is asked to what extent Bolero has become an alternative to, or in fact replaced paper documentation in the carriage of goods by sea. As an introduction the author looks at the paper bill of lading and other forms of sea transport documentation with a focus on their advantages and disadvantages. He then examines the development of EDI and paperless sea transport documentation, in particular Bolero and the history of its development. Following this is an in depth investigation of the Bolero system in its current form, the contractual relations involved and the position of Bolero in the surrounding legal framework in a South African and international context. Finally the author looks at the future of Bolero as a commercial enterprise
Adaptive-Segmentation and Flexible-Delay Based Broadcasting Protocol for VANETs
No full textPart 4: Network ProtocolsInternational audienceA Vehicular Ad hoc Network (VANET) is an interconnection of vehicles that communicate through wireless technologies. It offers to road users a wide variety of applications which can be classified into four main categories: safety, road traffic, comfort and infotainment. This paper deals with safety applications. Their main goal is to detect critical road conditions (e.g. accidents, black ice, etc.) and/or send notifications to other vehicles in the network. An effective dissemination of such a message relies on multi-hop retransmissions. Thus an explicit or implicit cooperation between vehicles is needed in order to relay the message over a wide area. The main challenge is to avoid the broadcast storm problem. This paper proposes an efficient segment-delay based method that divides the road into several segments depending on the network density and utilises a waiting time update technique to expedite the dissemination process with respect to network performance
Impact of Concurrent Communications in Geographical Broadcasting Protocols for Vehicular Ad hoc Networks
No full textInternational audienceBringing to the market intelligent vehicles is one of the current challenges faced by car manufacturers. These vehicles must be able to communicate in order to cooperate and be more effective. The issue of inter-vehicle communications is an active research topic. This paper proposes a reliable geographical broadcasting protocol which has a twofold goal: limiting the risk of interference and reducing the dissemination time. To achieve theses goals, two mechanisms are proposed. The first one divides the road (more precisely, each vehicle's coverage area) into several segments depending on the local density. Thereafter, the priority to relay a message is given to nodes that are in the farthest segment from the source node. The second mechanism allows to reduce the waiting time thanks to a periodic update process. This paper also analysis the performance of geographical broadcasting protocols in case of multiple simultaneous communications. The goal is to observe how these protocols behave when the radio channel becomes overloaded. The comparison study (in terms of packet loss and dissemination time) shows that the proposed protocol outperforms two other VANETs' broadcasting protocols.Keyword
HANSEN: Human and AI Spoken Text Benchmark for Authorship Analysis
Get PDFAuthorship Analysis, also known as stylometry, has been an essential aspect of Natural Language Processing (NLP) for a long time. Likewise, the recent advancement of Large Language Models (LLMs) has made authorship analysis increasingly crucial for distinguishing between human-written and AI-generated texts. However, these authorship analysis tasks have primarily been focused on written texts, not considering spoken texts. Thus, we introduce the largest benchmark for spoken texts - HANSEN (Human ANd ai Spoken tExt beNchmark).
HANSEN encompasses meticulous curation of existing speech datasets accompanied by transcripts, alongside the creation of novel AI-generated spoken text datasets. Together, it comprises 17 human datasets, and AI-generated spoken texts created using 3 prominent LLMs: ChatGPT, PaLM2, and Vicuna13B. To evaluate and demonstrate the utility of HANSEN, we perform Authorship Attribution (AA) & Author Verification (AV) on human-spoken datasets and conducted Human vs. AI spoken text detection using state-of-the-art (SOTA) models. While SOTA methods, such as, character ngram or Transformer-based model, exhibit similar AA & AV performance in human-spoken datasets compared to written ones, there is much room for improvement in AI-generated spoken text detection. The HANSEN benchmark is available at: https://huggingface.co/datasets/HANSEN-REPO/HANSEN
A novel hybrid broadcasting protocol based on coverage area segmentation and delay adjustment for VANETs
No full textInternational audienc
The Socialist Bar and Bartender Phenomenon
No full textThis dissertation deals with the profession of bartender between years 1958 and 1988 in socialist Czechoslovakia. It describes the development of mixology after the WW2 and difficulties it was facing in the socialist period up to late Eighties. Through interviews with contemporary witnesses, the author examines bad habits, shortcomings and abuses of the system behind the bar. Attention is paid to the availability and shortages of different kinds of alcohol and non-alcoholic drinks. The author also looks at bartenders as illicit moneychangers. The work analyses regulatory laws valid at this period and offers compact description of the most interesting and popular bars in Prague at that time
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