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检索条件"主题词=filtering algorithms"

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Talent Recommendation Algorithm Integrating Knowledge Grap

Talent Recommendation Algorithm Integrating Knowledge Grap

引用

Information and Communication Technology (ICTech), International Conference of

作者： Zhenhao Gu Zhibo Wang Shenyang Institute of Computing Technology Chinese Academy of Sciences Shenyang China University of Chinese Academy of Sciences Beijing China

ISBN: (数字)9798350376258

ISBN: (纸本)9798350376265

Due to the limitations of traditional recommendation algorithms in considering semantic information and achieving high precision in talent recommendation for cadre team construction, this paper proposes a talent recommendation algorithm called TransR-CF. This algorithm integrates a knowledge graph and a collaborative filtering algorithm. By constructing a knowledge graph of employee information and incorporating semantic information among employees as a key recommendation factor, the TransR translation model is used to learn knowledge representation and map the employee knowledge graph to a lower-dimensional continuous vector space, capturing entities and their relationships. Semantic similarity between employees is then calculated and linearly combined with behavior similarity derived from the collaborative filtering recommendation algorithm. This algorithm takes into account semantic information while building upon the traditional collaborative filtering approach, mitigating the impact of data sparsity and cold start issues on recommendation results, and improving the reliability and precision of recommendations. Experimental results on a personnel information dataset from a power enterprise's cadre team construction system demonstrate that this algorithm achieves a significant improvement in precision, recall, and F-value compared to the benchmark algorithm.

关键词： Translation Collaborative filtering Semantics Knowledge graphs filtering algorithms Information filters Vectors Information and communication technology Reliability Personnel

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A Filter Capsule Detection and Correction Method Based on Visual Detection and PID Control Linkage

A Filter Capsule Detection and Correction Method Based on Vi...

引用

International Conference on Computer and Communications (ICCC)

作者： Jianhua Liao Jun Cao Wenjie Long Guozhong Wu Yang Li Shihao Tang Yang Cao Jing Yang Guiyang Cigarette Factory China Tobacco Guizhou Industrial Co. Ltd. Guiyang China School of Mechanical Engineering Guiyang University Guiyang China School of Mechanical Engineering Guizhou University Guiyang China State Key Laboratory of Public Big Data Guizhou University Guiyang China

ISBN: (数字)9798331507077

ISBN: (纸本)9798331507084

With the rapid development of the domestic filter capsule cigarette market, the quality control of filter capsule filter rods has become critical. Current production is mainly faced with problems such as filter capsule deflection, and traditional detection and adjustment methods have the challenges of low accuracy and untimely response. For this reason, this study proposes a method for correcting filter capsule deflection detection based on the interaction of visual detection and PID regulation linkage. First, an improved SIFT image stitching algorithm is used to improve the accuracy of visual localization. Then, the PID control algorithm is introduced to adjust the flywheel speed in real time to realize high-speed deflection correction. Finally, experiments have verified that this method can effectively improve the qualification rate of filter capsule filter rods, reduce production costs, and be of great significance to the quality control of filter capsule cigarettes in the tobacco industry.

关键词： Industries Visualization Accuracy PI control Production Quality control filtering algorithms Regulation PD control Qualifications

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MixDACM and WMF-DAWHampel-Based FMCW Radar for Vital Sign Detection

MixDACM and WMF-DAWHampel-Based FMCW Radar for Vital Sign De...

引用

Robotics, Intelligent Control and Artificial Intelligence (RICAI), International Conference on

作者： Wei Xiong Xi Ma Lin Xia Fei Xia College of Automation Engineering Shanghai University of Electric Power Shanghai China Fengxian Power Supply Co State Grid Shanghai Electric Power Co Shanghai China School of Mechanical Engineering Tongji University Shanghai China

ISBN: (数字)9798331541699

ISBN: (纸本)9798331541705

In the field of life sign detection, the use of 77GHz Frequency Modulated Continuous Wave (FMCW) millimeterwave radar is being explored for non-contact monitoring of vital signs. This technology is challenged by interference from respiratory harmonics and clutter, which can result in abnormal phase values. An advanced algorithm for FMCW radar life sign signal detection is introduced in this study, combining first-order and second-order Difference of Arbitrary-Constant Multiplication (MixDACM) for phase unwrapping with a Windowed Median Filter-based Adaptive Weighted Hampel (WMFDAWHampel) method for managing outliers. The methodology involves utilizing the intermediate frequency signal from the FMCW radar to locate the target accurately. Subsequently, the MixDACM technique is applied for phase unwrapping, followed by the WMF-DAWHampel filter to address any residual abnormal phase values. Band-pass filters are then used to isolate the respiratory and heartbeat signals, facilitating the estimation of breathing and heart rates. Experimental results indicate that the integration of MixDACM and WMF-DAWHampel methods significantly improves phase unwrapping quality and outlier management. The integration of advanced signal processing techniques results in precise respiratory and heartbeat signal extraction, achieving estimation errors of 8.810% and 3.325%, respectively. Results from the study affirm the effectiveness of the proposed algorithm in boosting the precision of life sign detection through FMCW radar technology.

关键词： Band-pass filters Accuracy Heart beat Radar detection Signal processing algorithms Radar filtering algorithms Heart rate detection Harmonic analysis Power harmonic filters

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Image Acquisition System that Emulates the Operating Principle of a Computerized Axial Tomograph

Image Acquisition System that Emulates the Operating Princip...

引用

IEEE International Conference on Automatica (ICA-ACCA)

作者： Pablo Roncagliolo Togo Arredondo Antonio Rienzo Thomas Alvarado Daina Maccioni Escuela de Ingeniería Biomédica Universidad de Valparaíso Valparaíso Chile

ISBN: (数字)9798350378115

ISBN: (纸本)9798350378122

The need to improve and innovate the training of new professionals, with better teaching and learning techniques, is frequently raised. The technology incorporated into new equipment for the diagnosis and treatment of patients has a great impact on people’s health. And for that, professionals who master knowledge and practice are required. In the case of imaging equipment, the CAT (Computerized Axial Tomograph) stands out, which, due to its complexity, is difficult to understand in relation to the acquisition of digital medical images. The work developed consisted of the design and implementation of a system for the acquisition and reconstruction of images oriented towards teaching and learning. The platform explained offers rotation capacity, with a stationary laser emitter pair; allows you to cut back-projections, and then reconstruct the image using an FBP (Filtered Back-Projection Reconstruction) algorithm. Tests were carried out, and the results obtained are discussed, which allow us to conclude that the proposed objective for teaching purposes was achieved.

关键词： Training Reconstruction algorithms filtering algorithms Back Complexity theory Laser beam cutting Image reconstruction Medical diagnostic imaging

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Truncation Mitigation Using the Holographic PNF Filter

Truncation Mitigation Using the Holographic PNF Filter

引用

Antenna Measurement Techniques Association Symposium (AMTA)

作者： Scott T. McBride NSI-MI Technologies a business of AMETEK Inc. Suwanee GA

ISBN: (数字)9781736235164

ISBN: (纸本)9798331517854

Planar near-field (PNF) acquisition always samples a limited or truncated subset of the infinite plane in front of an antenna under test (AUT). That truncation of the sampled field has two primary impacts: Power radiating to or from angles beyond the probing boundary is not fully captured and thus not included and erroneous ripple is injected throughout the pattern when the transformation algorithm sees by default a sudden drop to zero power beyond that boundary. The topic of truncation mitigation in the PNF geometry has been addressed with a variety of algorithms. This paper introduces a new algorithm that is similar to, yet distinct from, some that have come before. The new algorithm makes use of the recently introduced holographic PNF filter [1]–[3], treating the truncation effects like stray signals. Where the most common technique [2] [4] uses the known planar-AUT bounds (2D) and a computed “valid region” of the plane-wave spectrum as truth through iterative transformations, this algorithm treats as truth the known AUT volume (3D) and the measured PNF data. The new algorithm is evaluated herein by retruncating a large set of measured PNF data.

关键词： Three-dimensional displays Prevention and mitigation Current measurement Volume measurement Scattering filtering algorithms Time measurement Distortion measurement Reliability Probes

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Exploiting Interlaced Kalman Filter for Anomaly Detection

Exploiting Interlaced Kalman Filter for Anomaly Detection

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IEEE International Conference on Automation Science and Engineering (CASE)

作者： Valeria Bonagura Chiara Foglietta Stefano Panzieri Federica Pascucci Departement of Civil Computer Science and Aeronautical Technologies Engineering University of "Roma Tre" Rome Italy Department of Electrical and Information Engineering "Politecnico of Bari" Bari Italy Civil Computer Science and Aeronautical Technologies Engineering University of "Roma Tre" Rome Italy

ISBN: (数字)9798350358513

ISBN: (纸本)9798350358520

This paper introduces a strategy for detecting integrity attacks in cyber-physical systems, like false data injection, in a distributed manner. The core of the proposed method lies in employing an Interlaced Kalman Filter. Each filter collects localized measurements related to the system’s inputs and outputs, allowing for concurrent estimation of the overall system state. The exchange of state estimate and covariance matrices between neighboring filters enhances the precision of estimation. The algorithm has been enhanced to compensate for estimation uncertainty when subsystems cannot synchronize, with the aim of maximizing the consistency and content of the *** filter incorporates a detection mechanism to identify measurement anomalies and prevent inaccurate estimations. Leveraging the central limit theorem, a batch analysis ensures higher estimation accuracy and consistency of the *** of the paper include balancing computational burden and algorithmic complexity while addressing integrity attacks on sensor readings. The efficacy of the proposed algorithm is validated through a scenario involving nine water tanks grouped into four subsystems.

关键词： Water Uncertainty Estimation filtering algorithms Cyber-physical systems Information filters Synchronization Kalman filters Covariance matrices Anomaly detection

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Real-time Automatic Wavelength Alignment for Silicon Photonic AMZI Filter by Running Reinforced Q-Learning in Microcontroller

Real-time Automatic Wavelength Alignment for Silicon Photoni...

引用

IEEE International Conference on Group IV Photonics

作者： Guangwei Cong Ryotaro Konoike Keijiro Suzuki Noritsugu Yamamoto Rai Kou Yuriko Maegami Morifumi Ohno Kazuhiro Ikeda Shu Namiki Koji Yamada Platform Photonics Research Center National Institute of Advanced Industrial Science and Technology (AIST) Tsukuba Ibaraki Japan

ISBN: (数字)9798350394047

ISBN: (纸本)9798350394054

Wavelength and temperature changes will cause functional failures for silicon photonic filters. Here we experimentally demonstrate automatic work wavelength alignment (function maintaining) for silicon AMZI filters against large variations in external wavelength and temperature by implementing reinforced Q-learning algorithm in microcontroller of only 8-KB memory.

关键词： Filters Q-learning Microcontrollers filtering algorithms Silicon photonics Real-time systems

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Filtered Iterative Learning Control of the Time-Delay Flexible Manipulator System with Slowly Varying Tracking Trajectory

Filtered Iterative Learning Control of the Time-Delay Flexib...

引用

Chinese Automation Congress (CAC)

作者： Jianxiang Zhang Liangjun Yin Institute of Intelligent Systems and Control Guangxi University of Science and Technology Liuzhou China

ISBN: (数字)9798350368604

ISBN: (纸本)9798350368611

In this paper, the filtered iterative learning control (FT-ILC) problem of a time-delay flexible manipulator system with variable tracking trajectory is studied. In practice, the system may be affected by random noise, which can reduce the control accuracy. In order to reduce the influence of noise on the system, this paper designs a filtered iterative learning law. At the same time, considering that the desired trajectory of the system is not fixed, but slowly changing, the learning law is extended to this situation. Through the compression mapping principle, the convergence of the time-delay flexible manipulator system is demonstrated. Finally, the numerical simulation results verify the effectiveness of the proposed algorithm.

关键词： Accuracy Automation Noise filtering algorithms Manipulators Numerical simulation Control systems Trajectory Iterative learning control Convergence

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Synthesis of Underdetermined Filter Topologies with Nonresonating Nodes within a Limited Range

Synthesis of Underdetermined Filter Topologies with Nonreson...

引用

Microwave, MTT-S International Symposium

作者： Yi Zeng Y. Ming Shenzhen Key Laboratory of EM Information Southern University of Science and Technology China State Key Laboratory of Millimeter Waves China

ISBN: (数字)9798350375046

ISBN: (纸本)9798350375053

This paper presents the synthesis of underdetermined filter topologies incorporating nonresonating nodes (NRN), which have an infinite number of solutions. To fit the physical constraints and fabrication technology, slack variables are introduced to only synthesize in a prescribed limited range. The NRNs are inserted into the coupling matrix directly as the independent nodes, so the synthesis problem is converted to the solving of underdetermined nonlinear equations based on the congruent transformation. To handle the singular Jacobian matrix, an efficient generalized continuation Newton method (GCNM) with the trust-region updating strategy is introduced. One fourth-order NRN filter with all positive couplings is synthesized and manufactured to validate the proposed synthesis theories.

关键词： Jacobian matrices Couplings Nonlinear equations filtering algorithms Microwave theory and techniques filtering theory Topology

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Research on Multi sensor Data Fusion Algorithm Based on Distributed Kalman Filter

Research on Multi sensor Data Fusion Algorithm Based on Dist...

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Innovation in Technology (ASIANCON), Asian Conference on

作者： Zhixun Liang Yunying Shi Yunfei Yi Longxiang Luo Peng Tang School of Big Data and Computer Hechi University Yizhou China

ISBN: (数字)9798350354218

ISBN: (纸本)9798350354225

A sensor network is a network composed of a large number of distributed sensor nodes, utilised for collecting, processing, and transmitting information within the environment. Sensor nodes in sensor networks usually possess limited energy and computing power. This paper presents a multi-sensor data fusion algorithm based on distributed Kalman filtering, which offers relatively low computational complexity as each sensor is only required to update its local filter without processing data from all sensors. Experimental results demonstrate that the algorithm’s performance is comparable to that of conventional Kalman filtering algorithms. However, the distributed Kalman filtering data fusion algorithm reduces overall energy consumption by decreasing transmission energy consumption.

关键词： Energy consumption Technological innovation Simulation Noise Data integration Distributed databases filtering algorithms Approximation algorithms Kalman filters Noise measurement

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