Retrieving events from videos using text queries has become increasingly challenging due to the rapid growth of multimedia content. Existing methods for text-based video event retrieval often focus heavily on object-level descriptions, overlooking crucial role contextual information. This limitation is especially apparent when lack sufficient context, such as missing location details or ambiguous background elements. To address these challenges, we propose a novel system called RAPID...

We study a dynamic spectrum access situation where, in each time slot, single cognitive agent decides to either stay idle or one of the N frequency channels based on its sensing whole spectrum. The are occupied vacant according independent nonidentical 2-state Markov chains. prove that optimal policy can easily be found if state transition probabilities all known. When has no knowledge about channel model, we propose use deep Q-learning method learn state-action value function determines an...

We show the results of two-terminal and four-terminal transport measurements on few-layer NbSe$_2$ devices at large current bias. In all samples measured, characteristics high bias are dominated by a series resistance jumps due to nucleation phase slip lines, two dimensional analogue centers. point contact relatively simple homogeneous geometry enables quantitative comparison with model Skocpol, Beasley Tinkham. extended crystals single line can be induced mechanical stress region whose...

The development of Affective Computing has witnessed tremendous number studies about facial and vocal expression, while bodily expression only comprises the minority. However, with emerging social signal processing, people have paid more attention to significant role body language in communication emotional expression. One situation when shows its importance is public speaking. This paper presents an online feedback system for speakers, which emotion recognised from speakers regarded as...

Abstract In recent years, electric Vertical Take-Off and Landing aircraft (eVTOL) have been increasingly researched developed because of their high applicability: parcels deliveries, rescue, military, etc. These flying machines typically use an Electric Ducted Fan (EDF) driven by Motor located within the Centre Body this EDF. study, several ventilation hole concepts on were given to increase cooling ability Motor. Two-way heat transfer method implemented simulate conductive convective...

Abstract The Curie temperature ( T C ) of RT binary compounds consisting 3 d transition-metal and 4 f rare-earth elements R is analyzed systematically by a developed machine learning technique called kernel regression-based model evaluation. Twenty-one descriptive variables were designed assuming completely obtained information the . Multiple regression analyses with different types: cosine, linear, Gaussian, polynomial, Laplacian kernels implemented examined. All possible variable...

This paper reports on the ReINTEL Shared Task for Responsible Information Identification social network sites, which is hosted at seventh annual workshop Vietnamese Language and Speech Processing (VLSP 2020). Given a piece of news with respective textual, visual content metadata, participants are required to classify whether `reliable' or `unreliable'. In order generate fair benchmark, we introduce novel human-annotated dataset over 10,000 collected from in Vietnam. All models will be...

Notice of Violation IEEE Publication Principles<br><br> "A Hybrid Fault Detection Approach for Context-aware Wireless Sensor Networks,"<br> by E.U. Warriach, Tuan Anh Nguyen, M. Aiello, and Tei Kenji,<br><br> in the Proceedings 9th International Conference on Mobile Adhoc Systems (MASS), October 2012, pp.281-289<br><br> After authors contacted conference organizers withdrawing this paper due to plagiarism performed lead author, as confirmed careful considered review content authorship a duly...

Online game is one of the most successful business on Internet. As online grows, cheating in becomes popular and biggest challenge systems. In this paper, we investigate application anomaly detection techniques to an (JX2) VNG company. A method evaluate performance unsupervised was proposed. Six algorithms were tested. The experimental results show that kernel density based technique ensemble performed best data. Our post analysis helped identify eliminate some players game.

In this paper, we use the Message Queue Telemetry Transport (MQTT) protocol to track events of user mobile device and record database for analyzing later with special criteria (key performance indicators). It also shows how establish a publish/subscribe connection between (MQTT client) MQTT broker publish events. brokers can listen in incoming through input adaptors, store those then, visual dashboard show all

This paper introduces an effective intelligent controller for robotic systems with uncertainties. The proposed method is a novel self-organizing fuzzy cerebellar model articulation (NSOFC) which combination of (CMAC) and sliding mode control (SMC). We also present new Gaussian membership function (GMF) that designed by the prior current GMF each layer CMAC. In addition, relevant data used to check tracking errors more accurately. inputs can be mixed simultaneously between states according...

Wireless Sensor Network (WSN) deployment experiences show that data collected is prone to be imprecise and faulty due internal external influences, such as battery drain, environmental interference, sensor aging. An early detection of faults necessary for the effective operation network. In this preliminary work, we propose a hybrid approach illustrate its performance on coming from real deployment. The proposal first step have method towards automated on-line fault classification in...

Developing the proactive event-based system including components for efficient real-time data stream processing is a crucial issue in data-driven decision support systems. We suggest framework EVGEN (stands 'EVent GENerator') generating of event as basic tool developing and testing The allow producing JSON-based according to preliminary settings: structure (variety) intensity (or velocity). architecture build based on Apache Kafka publish-subscribe messaging system. applied evaluate...

This work presents an efficient technique for simultaneously reconstructing image of a moving object from X-ray projections along with estimating the motion parameters. Current state-of-the-art iterative methods rely on objective functions that contain solution procedure as one its terms. complicates reconstruction process it leads to nested iterations and makes analytic differentiation impractical. The presented relies function depends derivatives this towards parameters are known exactly...

In four-dimensional computed tomography (4DCT), 3D images of moving or deforming samples are reconstructed from a set 2D projection images. Recent techniques for iterative motion-compensated reconstruction either necessitate reference acquisition alternate image and motion estimation steps. these methods, the step involves complete deformation vector fields (DVFs) limited parameters corresponding to affine motion, including rigid scaling. The majority approaches rely on nested iterations,...

Accurate quantification of intraoperative blood loss is crucial for enhancing patient safety and the success rate surgeries. Traditional estimation techniques, mainly reliant on visual assessments, are prone to significant inaccuracies due their subjective nature. This study introduces MDCare, an innovative deep learning-integrated system designed substantially improve precision using surgical sponges. By integrating advanced hardware components, including a mass sensor webcam, with...

Yu, Hannah J. BS; Karimaghaei, Cina MD; Nguyen, Tuan Anh PhD; Alryalat, Saif Aldeen Al Deyabat, Osama Davis, Garvin Lee, Andrew G. MD Author Information

Current work in planning with preferences assume that the user's preference models are completely specified and aim to search for a single solution plan. In many real-world scenarios, however, user probably cannot provide any information about her desired plans, or some cases can only express partial preferences. such situations, planner has present not one but set of plans user, hope them similar plan she prefers. We first propose usage different measures capture quality sets suitable...

An automatic feedback tool offers a natural, informative way to support presentation skills training by analyzing the nonverbal expressions of speakers.

In the emerging Internet-of-Things (IoT), wireless sensors are vital mediators between physical world and cyber space. many telemonitoring interactive applications, high-rate data streams up to MB/s may need be transported from cloud computing servers over Internet processed by remote in quasi-real time fashion. These applications generally demand substantial reduction of communication bandwidth, response latency power consumption these Internet-based cyber-physical systems. To tackle...