Showing 1-25 of 7,102 resultsfor "Index Terms":Domain Of Interest
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Unsupervised Image Region of Interest Detection using Discrete Cosine Transform
2021 4th International Conference on Information Communication and Signal Processing (ICICSP)
Year: 2021 | Conference Paper |
Spatial domain analysis of images has been recognised as an important task in image retrieval and computer vision, however, its application in the determination of image Region of Interests often require the inclusion of supervised training and similarity computations, both of which can be difficult to implement during the modelling of the images in a large number of images. however, unsupervised ...Show More
Iterative methods for extracting causal time-domain parameters
Recent interest in time-domain modeling techniques has been largely motivated by the demands for simulating broad-band electronic systems and high-speed digital circuits. These techniques normally require strict causality of any parameters to be used with them. However, most of parameters, such as the S-parameters of a transistor, are given only in the frequency domain and over a limited frequency...Show More
Region-of-Interest Extraction Based on Frequency Domain Analysis and Salient Region Detection for Remote Sensing Image
Traditional approaches for detecting visually salient regions or targets in remote sensing images are inaccurate and prohibitively computationally complex. In this letter, a fast, efficient region-of-interest extraction method based on frequency domain analysis and salient region detection (FDA-SRD) is proposed. First, the HSI transform is used to preprocess the remote sensing image from RGB space...Show More
Analysis of Open-Ended Coaxial Probes by Using a Two-Dimensional Finite-Difference Frequency-Domain Method
A 2-D finite-difference frequency-domain (FDFD) method is presented to analyze open-ended coaxial probe problems. With the axial symmetry of geometry taken into account, the method reduces the original structure into an equivalent 2-D problem. Due to its ability to handle complex geometries, the presented method can tackle many practical situations when the analytical/semianalytical full-wave anal...Show More
Personalized Query Expansion Based on User Interest and Domain Knowledge
2012 Third Global Congress on Intelligent Systems
Year: 2012 | Conference Paper |
Cited by: Papers (4)
User interest is an important basis for providing users with personalized search results. In this paper, the personalized query expansion is improved by combining the notion of user interest and domain knowledge. We present an approach to personalized search that involves calculating and annotating the interest weight of terms which are implicitly derived from user browsing history, and matching t...Show More
MIBR: Bridging Domains through Diverse Interests for Cross-Domain Sequential Recommendation
Chengzhe Zhang;Xu Min;Changsheng Li;Xiaolu Zhang;Weichang Wu;Jun Zhou;Ye Yuan;Guoren Wang
2024 IEEE International Conference on Big Data (BigData)
Year: 2024 | Conference Paper |
Cross-Domain Sequential Recommendation (CDSR) aims to enhance personalized user experiences by leveraging user behaviors across multiple domains. Existing methods primarily focus on fusing information from various domains and modeling global user preferences, but often struggle with negative transfer, where knowledge from one domain impairs recommendation performance in another. For example, a use...Show More
Extraction of causal time-domain network parameters from their band-limited frequency-domain counterparts using rational functions
Network parameters of a lumped element device are usually given in a limited frequency band of interest, or in an operation frequency range. To include them in time-domain simulations, they need to be converted to their causal time-domain correspondences. However, direct conversion with a simple technique such as the Fourier transform often leads to noncausal time-domain network parameters. Even w...Show More
Adaptive Stopping Criterion for Fast Time Domain Characterization of Microwave Components
This letter proposes a novel adaptive stopping criterion that facilitates a fast time domain characterization of microwave components. By successively computing a rational macromodel based on time-limited transient responses of the microwave component under study, the proposed stopping criterion limits the number of time steps required to capture the frequency behavior up to a predefined accuracy ...Show More
Extracting causal time domain parameters
2004 10th International Symposium on Antenna Technology and Applied Electromagnetics and URSI Conference
Year: 2004 | Conference Paper |
Parameters of a device are normally given in a frequency range of interest. To use them in a time-domain simulator requires their time-domain correspondents to be strictly causal in time. However, these time-domain correspondents are often non-causal in time if they are obtained from simple transformations of the frequency-domain parameters known over a limited frequency-range of interest. In this...Show More
Efficient Uncertainty Quantification of FDTD based Microwave Circuit Models with Multiple Design Parameters
2019 IEEE MTT-S International Microwave Symposium (IMS)
Year: 2019 | Conference Paper |
Cited by: Papers (3)
The polynomial chaos expansion (PCE) method has emerged as a promising uncertainty quantification technique compared to the commonly used yet computationally inefficient Monte Carlo method. However, PCE-based methods generally suffer from a "curse of dimensionality", where the computational cost increases rapidly with the number of random variables included in the analysis. This paper applies an o...Show More
DDLNet: Boosting Remote Sensing Change Detection with Dual-Domain Learning
2024 IEEE International Conference on Multimedia and Expo (ICME)
Year: 2024 | Conference Paper |
Cited by: Papers (2)
Remote sensing change detection (RSCD) aims to identify the changes of interest in a region by analyzing multi-temporal remote sensing images, and has an outstanding value for local development monitoring. Existing RSCD methods are devoted to contextual modeling in the spatial domain to enhance the changes of interest. Despite the satisfactory performance achieved, the lack of knowledge in the fre...Show More
NIF-Based Frequency-Domain Modeling Method of Three-Wire Shielded Energy Cables for EMC Simulation
This paper focuses on the modeling method of energy cables used in power conversion systems, in the aim of EMC simulation and overvoltage analysis. Based on the node-to-node functions method, a simple frequency-domain model with a reduced number of equivalent impedances is considered and applied to three-wire shielded cables, along with a fast identification method based on a cascaded-cell model. ...Show More
Radial Absorbers for Conformal Time-Domain Methods: A Solution to Corner Problems in Mesh Truncation
2007 IEEE/MTT-S International Microwave Symposium
Year: 2007 | Conference Paper |
Cited by: Papers (7)
A radial perfectly matched absorber is investigated for accurate computational domain truncation in con-formal time-domain methods. Using the finite-volume time-domain implementation, this radial absorber is compared with the standard unsplit perfectly matched layer (PML) and numerical reflections are computed for different test conditions. The broadband numerical results demonstrate a substantial...Show More
Identification and Decoding Technology of EEG Under Complex Visual Stimuli Using Clustering Ensemble
2024 China Automation Congress (CAC)
Year: 2024 | Conference Paper |
Accurate target recognition in complex backgrounds is the primary key step for aircraft to achieve sensitive perception and control. Traditional computer vision based object recognition technology is difficult to fully meet practical application needs for complex and open flight environment scenarios such as camouflage and variants. Its recognition accuracy and other performance are still far lowe...Show More
Extraction of 3D Field Information From Time Domain Simulations Using Spectral Based Interpolation (SBI)
The spectral based interpolation (SBI) technique is presented as a post-processing approach for electromagnetic time domain simulations. Based on accurate spectral estimation techniques, SBI is able to calculate three dimensional field patterns at the frequencies of interest and to produce fast 3D frequency sweeps. SBI accounts for the excitation spectrum as well as for truncation effects, and thu...Show More
POI Recommendation with Federated Learning and Privacy Preserving in Cross Domain Recommendation
IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)
Year: 2021 | Conference Paper |
Cited by: Papers (16)
Point-of-Interest (POI) recommendation is one of the most popular recommendation methodologies. However, POI data is very sensitive and sparse. Users' reluctance to share their context information due to privacy concerns, along with the cold-start problem caused by data sparsity reduces recommendation efficiency. To address these issues, we propose a POI framework for cross-domain recommendation w...Show More
Rating Knowledge Sharing in Cross-Domain Collaborative Filtering
IEEE Transactions on Cybernetics
Cited by: Papers (28)
Cross-domain collaborative filtering (CF) aims to share common rating knowledge across multiple related CF domains to boost the CF performance. In this paper, we view CF domains as a 2-D site-time coordinate system, on which multiple related domains, such as similar recommender sites or successive time-slices, can share group-level rating patterns. We propose a unified framework for cross-domain C...Show More
Domain Structure in CoFeB Thin Films With Perpendicular Magnetic Anisotropy
Michihiko Yamanouchi;Albrecht Jander;Pallavi Dhagat;Shoji Ikeda;Fumihiro Matsukura;Hideo Ohno
Domain structures in CoFeB-MgO thin films with a perpendicular easy magnetization axis were observed by magneto-optic Kerr-effect microscopy at various temperatures. The domain-wall surface energy was obtained by analyzing the spatial period of the stripe domains and fitting established domain models to the period. In combination with superconducting quantum interference device measurements of mag...Show More
Computational Aspects of Simulating a Wind Turbine Blade Deflection Sensing System
2018 International Workshop on Computing, Electromagnetics, and Machine Intelligence (CEMi)
Year: 2018 | Conference Paper |
Recently introduced wind turbine blade deflection sensing system using ultrawideband technology is described. Challenges of simulating microwave propagation along the blade using the finite-difference time-domain method are outlined. Two straightforward techniques that have been used to speed up the finite-difference time-domain (FDTD) simulation are presented: load balancing of parallel processes...Show More
Novel Pilot Position Selection and Signal Reconstruction Methods for Frequency-Domain Pilot Multiplexing Techniques of SC-FDE
The frequency-domain pilot multiplexing technique (FDPMT) has recently emerged as an appealing technique for channel estimation in single-carrier frequency-domain equalization (SC-FDE) systems due to the high spectral efficiency it promises. However, the performance of the FDPMT system is significantly affected by the signal distortion level, which depends on the pilot position selection (PPS) str...Show More
Network reduction for frequency domain transient analysis of power components
Ghassan A. Bilal;Juan M. Villanueva-Ramirez;Mohammed Khalil Hussain;Pablo Gómez
2017 IEEE International Conference on Electro Information Technology (EIT)
Year: 2017 | Conference Paper |
Cited by: Papers (2)
Network equivalents are used to reduce the size of electrical systems that can be difficult to solve due to computational constraints. They are also useful for cases in which it is sufficient to model in detail only a portion of the system that is relevant for the study to be performed. The purpose of this work is to apply Kron's reduction method in combination with frequency domain modeling techn...Show More
3-winding flyback transformer model extraction using time domain system identification
International Symposium on Power Electronics Power Electronics, Electrical Drives, Automation and Motion
Year: 2012 | Conference Paper |
For low frequency applications, transformer model extraction has been widely investigated using both time and frequency domain data. However, the studies for high frequency transformers have been carried out in the frequency domain only. The reason is due to the complications in acquiring time domain data for high frequency transformer model estimation. This paper presents a methodology to deal wi...Show More
Why the DFT is faster than the FFT for FDTD time-to-frequency domain conversions
Although it is a time-domain method, the finite-difference time-domain (FDTD) method has been used extensively for calculating frequency domain parameters such as specific absorption rate, radar cross-section, and S-parameters. When a broad frequency band is of interest, using a broad-band pulsed excitation can provide this frequency response with a single FDTD simulation. The frequency domain dat...Show More
Causal parameter extractions by vector fitting for use in time-domain numerical modeling
2005 IEEE Antennas and Propagation Society International Symposium
Year: 2005 | Conference Paper |
Cited by: Papers (1)
In time-domain modeling techniques, such as the finite-difference time-domain method, a lumped parameter electronic device, such as a transistor, is often treated as a black box represented by its time-domain network parameters. The parameters of most electronic devices are, however, often given in the frequency domain and in a limited frequency range. Therefore, they need to be transformed into t...Show More
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