In recent years, with the rapid development of Internet of Things technology, the application and popularization of intelligent sports equipment in residents’ lives have become extensive. As a sport suitable for all ages, badminton is deeply loved by the masses. This paper designs a smart badminton racket to help students improve their badminton skills by providing real-time training data and three-dimensional posture information.
This dataset is specifically designed to support research related to TIFS(IEEE Transactions on Information Forensics and Security)papers.It offers a comprehensive collection of raw data,extracted feature data,and detailed parameter profiles for the models used in the studies.The raw data includes a wide range of measurements and observations,providing a solid foundation for further analysis.The extracted feature data highlights key characteristics and patterns,making it easier for researchers to identify important trends and insights.Additionally,the detailed parameter profiles offer in-dep
Ensemble clustering, which integrates multiple base clusterings to enhance robustness and accuracy, is commonly evaluated on over 10 benchmark datasets. These include 4 synthetic datasets (e.g., 3MC,atom,Tetra and Flame) designed to test algorithms on nonlinear separability and density variations.
Hyper-spectral unmixing is a technique to estimate the abundances of different endmembers in each mixed pixel of remote sensing images. Deep learning has made significant progress in this area, offering automatic feature extraction, nonlinear pattern recognition, and end-to-end solutions. However, existing deep learning models have not fully utilized the spectral information of endmembers, leading to insufficient data mining.
SNMDat2.0 is a comprehensive multimodal dataset, expanded from the unimodal TwiBot-20, designed for Twitter social bot detection. Specifically, we add 274587 profile images and profile background images, 86498 tweet images and 49549 tweet videos based on the original 229580 twitter users, 227979 follow relationships and 33488192 tweet text.
<p>This data set is a modified CLARC(Customizable Artificial Community )system data based on garden city kansas socio economic data.The dataset comprises two major parts.1.Load Data: This portion includes detailed hourly electricity demand profiles across 65 distinct load points, categorized into residential, commercial, industrial, and critical infrastructure loads. Each load profile reflects realistic consumption behaviors and demand fluctuations.2.Socioeconomic Data: This segment captures essential demographic and economic indicators for each corresponding load point.
This dataset contains 609,934 real Modbus TCP packets collected from industrial control system (ICS) environments, capturing the full byte-level structure of Modbus communication, including MBAP headers and function-specific payloads. Designed to support research in industrial cybersecurity, this dataset addresses the scarcity of diverse and realistic Modbus traffic, which often hampers the development of intrusion detection systems (IDS) and protocol-compliant synthetic data generators.
We released TrafficLLM's training datasets, which contain over 0.4M traffic data and 9K human instructions for LLM adaptation across different traffic analysis tasks.
The painting style data sets were constructed by searching, selecting and collecting the public painting works on the internet, treating the painting style and artists' names as keywords. The data set collected 750 painting works in all, including five kinds of styles. They were receptively Cubism, Op Art, Color Field Painting, Post Impressionism and Rococo.
This dataset provides bibliometric information of academic publications related to learning analytics and decision sciences, sourced from Scopus. It includes metadata for a wide range of papers, including author details, titles, publication years, journal sources, and document types. Key columns in the dataset include author names, IDs, titles of publications, source titles (journals or conferences), document types, publication stage, and open access status.
IPv6 Hitlist 1M is an open-source dataset provided by Gasser et al., aimed at creating a comprehensive list of active IPv6 addresses, incorporating results from multiple public address sets and updating daily. We selected the probing results from May 4, 2024, to May 10, 2024. This dataset contains a total of 24.5 million addresses, from which we selected the top 1 million addresses as IPv6 Hitlist 1M.
IPv6 Hitlist 1M is an open-source dataset provided by Gasser et al., aimed at creating a comprehensive list of active IPv6 addresses, incorporating results from multiple public address sets and updating daily. We selected the probing results from May 4, 2024, to May 10, 2024. This dataset contains a total of 24.5 million addresses, from which we selected the top 1 million addresses as IPv6 Hitlist 1M.
The rapid growth of spatiotemporal data makes trajectory modeling critical for extracting patterns from large-scale, dynamic mobility datasets. However, many existing methods face challenges with scalability and computational inefficiency. To address these challenges, we propose VecLSTM—a vectorized Long Short-Term Memory (LSTM) framework designed to improve both predictive accuracy and processing performance. VecLSTM introduces a novel dynamic vectorization layer that converts raw GPS trajectories into structured vector embeddings, enabling efficient storage, retrieval, and preprocessing.
A study of radio tube technologies developed in Germany during the First World War has been conducted. The designs of tube triodes from various German companies and the features of their production and application in radios and audio amplifiers are considered. The invention of a multiple tube by Sigmund Loewe and the technology of its manufacture are considered in detail. It is shown that Manfred von Ardenne has nothing to do with this invention.
The article states the need for new methods of visualization of information flows, one of which is infographics, and notes the insufficiency of its use in the historiography of science and technology. The reasons for this are the weak use of effective methods of sys-tematization (periodization and classification) of content, as well as the lack of methodology for such presentation. The main provisions of the study are briefly considered, in which the problems of systematization are solved using some provisions of the general theory of systems by V. N. Sadovsky.
This paper considers a threat scenario of unauthorized eavesdropping in a peer-to-peer network, where routes between the initiator node and the recipient node pass through two intermediate nodes. It is shown how the compromise of one or several nodes affects the share of routes that can be intercepted by an attacker and how this relates to the total number of possible routes. Formulas are obtained for calculating the number of intercepted connections, and probabilities of successful interception and unsuccessful connection are determined, reflecting the system’s vulnerability.
It is shown that if the complex coefficient of transmission of the matched filter is determined according to the criterion of the minimum output noise variance at a fixed reference value of the output signal, then an increase in the signal-to-noise ratio at the output of such a filter is possible by appropriate selection of the energy spectrum of the signal. The choice of the energy spectrum of the signal is due to the type of power spectral density of the input noise.
The article examines the main stages of scientific and social activity of the famous Russian scientist Viktor Mikhailovich Pestrikov, provides a bibliography of his works in such areas as aging, destruction and diagnostics of solids; history of radio electronics, information technology; applied mathematics; general history. The article is illustrated with photographs from 1986–2011.
The results of electrodynamic modeling of the conducting properties of sections of strip-type microwave transmission lines containing surface gammadion configurations deposited on the back side of the conducting transmission line are obtained for one single-pass gammadion and a separately configured cascade of them, in comparison with the parameters of a conducting section with a two-pass gammadion.
The article presents the results of an experimental study of the absorption properties of carbon nanostructured films in the S-band. The dependence of the transmission, reflection and absorption coefficients on the resistance of carbon samples with an absorption peak of an incident electromagnetic wave in the resistance range of 350–400 Ohm is shown.
This dataset proposes a new energy vehicle procurement decision-making framework that integrates data mining and social network group decision-making in an intuitive fuzzy environment. We use web crawler technology and social media public opinion analysis to capture and analyze text information about the performance of NEVs. 87,673 online blog posts about NEVs from December 1 to 31, 2024, were crawled from the API provided by the Sina Weibo Open Platform (https://weibo.com).
To investigate SAM's potential in the continual scenario, we construct a benchmark for continual segmentation, called Continual SAM Adaptation Benchmark (CoSAM), which aims to systematically evaluate SAM-related algorithms's performance in the streaming scenarios. Specifically, CoSAM offers a set of 8 tasks covering diverse domains, including industrial defects, medical imaging, and camouflaged objects, to serve as a realistic and effective benchmark for evaluating current methods.
