A5054396268- Geophysics and Gravity Measurements
- Inertial Sensor and Navigation
- Geophysical and Geoelectrical Methods
- Advanced Fiber Optic Sensors
- Geophysics and Sensor Technology
- Evaluation and Optimization Models
- Optical Systems and Laser Technology
- Financial Distress and Bankruptcy Prediction
- IoT and Edge/Fog Computing
- Statistical and numerical algorithms
- Cooperative Communication and Network Coding
- Caching and Content Delivery
- Photonic and Optical Devices
- Advanced Algorithms and Applications
- Engineering Applied Research
- Text and Document Classification Technologies
- Experimental and Theoretical Physics Studies
- Auditing, Earnings Management, Governance
- Advanced Sensor and Control Systems
- Intracerebral and Subarachnoid Hemorrhage Research
- Insurance and Financial Risk Management
- Stochastic Gradient Optimization Techniques
- Economic Development and Regional Competitiveness
- Land Rights and Reforms
- Imbalanced Data Classification Techniques
Huazhong University of Science and Technology
2013-2025
Shenyang Agricultural University
2013-2014
Fugro (Norway)
2013
Naval University of Engineering
2009-2011
Hubei Polytechnic Institute
2009
Health Action International
2000
Camera networks are essential to constructing fast and accurate mapping between virtual physical space for digital twin. In this paper, with the aim of developing energy-efficient twin in 6G, we investigate real-time video analytics based on cameras mounted mobile devices edge coordination. This problem is challenging because 1) limited battery life lightweight computation capability, 2) captured frames continuous changing, which makes corresponding tasks arrival uncertain. To achieve twin,...
Abstract The rotating accelerometer gravity gradiometer (RAGG) is considered a vital instrument in geophysics for applications such as resource exploration and gravity-assisted navigation. When conducting moving-base gradient measurements, magnetic noise inevitably couples into the output of RAGG, thereby affecting accuracy detection. This paper analyzes RAGG mechanism based on closed-loop feedback microelectromechanical system accelerometers. According to principles proposed model...
Due to escalating privacy concerns, federated learning has been recognized as a vital approach for training deep neural networks with decentralized medical data. In practice, it is challenging ensure consistent imaging quality across various institutions, often attributed equipment malfunctions affecting minority of clients. This imbalance in image can cause the model develop an inherent bias towards higher-quality images, thus posing severe fairness issue. this study, we pioneer...
Abstract This paper reports the availability of a high‐resolution atlas adult rat. The is composed 9475 cryosectional images captured in 4600 × 2580 24‐bit TIFF format, constructed using serial cryosection‐milling techniques. Cryosection were segmented, labelled and reconstructed into three‐dimensional (3D) computerized models. These images, 3D models, technical details, relevant software further information are available at our website, http://vchibp.vicp.net/vch/mice/ .
In this letter, we propose a novel cooperative caching scheme for the next-generation Internet - content oriented networking (CON), trying to minimize access delay mobile users. We formulate problem as mixed integer programming model and heuristic solution based on Lagrangian relaxation. Simulation results show that can greatly reduce delay.
Rotating accelerometer gravity gradiometer (RAGG) is the only gradient measuring device in world to achieve commercial applications. When parameter consistency among multiple accelerometers of RAGG not sufficient, its combined output cannot effectively suppress common-mode noise environment. A method for suppressing RAGG’s linear and angular motion presented this article by projecting parameters, including scale factor, misalignment angle, second-order terms, cross-coupling onto Cartesian...
Mounting requirements of a rotating accelerometer gravity gradiometer (RAGG) beyond the art manufacture, RAGG is susceptible to motion itself. Motion error main source in airborne gradiometry data. This study presented posterror compensation method, which consists postmotion and post-self-gradient compensation. The self-gradients are compensated before that combined output four accelerometers quadrature amplitude demodulated. based on analytical model; response (namely, error) related well...
Abstract The rotating accelerometer gravity gradiometer (RAGG) is regarded as a significant tool in geophysics applications such resource exploration and gravity-assisted navigation research. Here we develop prototype of the horizontal tensor RAGG build dedicated calibration platform for evaluating its performance. error theoretically computed experimentally verified. errors considered include higher-order terms gradient error, positioning demodulation phase well dimensions density...
The medical services in Bangladesh are shortage nowadays; people suffering from getting the correct treatment hospital. With low proportion of doctors and per capita salary Bangladesh, patients need to spend more money get appropriate treatments. Therefore, it is necessary apply modern information technologies by which scaffold between specialists can be reduced, take proper at a lower cost. Fortunately, we solve this critical problem utilizing interaction among electrical devices. big data...
High sensitivity is an important index of accelerometer for seismic monitoring. In this paper, we have designed a new fiber Bragg grating and, theoretical structure given. The analysis the sensor established, and results show that device 2131.5pm/g resonance frequency 28.01Hz theoretically. It has higher precision than traditional on magnitude. experiment, found output will react as cosine signal while input signal. indicates good linear relationship between response. We demonstrated strain...
Limited by manufacturing technology, in moving-base gravity gradiometry, accelerometer mounting errors and mismatch cause a rotating gradiometer (RAGG) to be susceptible its own motion. In this study, we comprehensively consider errors, linear scale factors imbalances, second-order error coefficients, RAGG internal movement, construct three models—namely, numerical model, an 54 parameters analytical 25 simplified model. Moreover, setting the gravitational gradient excitation of zero, motion...
After analyzing the sensing theory of a DFB fiber laser, demodulation principle Bragg grating hydrophone using phase generated carrier based on Michel son interferometer was introduced. A digital system DSP designed then, and feasible resolution provided to error-induced factor caused by frequency error between that sinusoidal modulation mixing signals. The experiment shows, waveform demodulated acoustic signal with low nice.
Full tensor gravity gradiometers based on accelerometer pair combination are widely employed in earth resource explorations using gradient measurements. However, the extremely high requirements of dynamic range and scale factor consistency pairs two main limitations to further improve their performances. In order overcome these extreme challenges, torque type gradiometer Etövös torsion balance pendulum is re-considered. this paper, an improved full with a flexure-strip suspension proposed,...
The purpose of Web text mining is to find the potential knowledge from immensity information on Internet. In this paper, a novel method proposed based semantic polarity analysis. Firstly, model for presented by using analysis, which includes three main parts: data acquisition, feature sentences analysis and Secondly, procedure with introduced mining, related algorithms are also discussed. Thirdly, applied into an actual case try out valuable products consumers. results show that both...
Hematoma expansion prediction is critical for the prognostic outcomes of patients with life-threatening intracerebral hemorrhage, which time-consuming and replies on experts' experience. Though deep learning based approaches have greatly reduced labor costs in hematoma prediction, there still exist two challenges: high computational complexity brought by 3D-CNN-based models, poor performance single-modality medical imaging data. In this paper, we propose a bidirectional-guided semi-3D...
The computer data mining technology plays an important role in the financial risk management. It can extract implicit that people don't know advance, mean time, and potentially useful information knowledge for managers to provide decision-making reference. This paper introduces concept of mining, process main first, then typical application management, such as customer relationship credit assessment crisis early warning analysis. At last, it has a summary management industry.
In this paper we study the effect of diversity combining for Nakagami -m fading Channels in amplify-and-forward cooperative networks.We derive cumulative density function (CDF), probability (PDF) and moment generating (MGF) multiple relay network with single half duplex channel maximal ratio combiner (MRC). investigate cases MRC at destination, as well exact Symbol Error Rate (SER) M-ary phase-shift keying (M-PSK), quadrature amplitude modulation (M-QAM) environment. We present a comparison...