The continuous advancement of electronic technology has led to the gradual integration automated intelligent devices into various aspects human life. Motion gesture-based human–computer interaction systems offer abundant information, user-friendly functionalities, and visual cues. Surface electromyography (sEMG) signals enable decoding muscle movements, facilitating realization corresponding control functions. Considering inherent instability minuscule nature sEMG signals, this thesis...

The 12-tetrahedral robot is an addressable reconfigurable technology (ART)-based variable geometry truss mechanism with 26 extensible struts and nine nodes arranged in a tetrahedral mesh. has the capability of configuring its shape to adapt environmental requirements, which makes it suitable for space exploration. This paper considers motion planning problem terms gait trajectory planning. First, method developed that limits forward falling angles only 25 degrees. Then, according given gait,...

This work aims to advance the security management of complex networks better align with evolving societal needs. The employs Ant Colony Optimization algorithm in conjunction Long Short-Term Memory neural reconstruct and optimize task derived from time series data. Additionally, a trend-based noise smoothing scheme is introduced mitigate data effectively. approach entails thorough analysis historical data, followed by applying smoothing, rendering processed more scientifically robust....

This paper presents a method of discovering new knowledge clinical diagnosis from the famous TCM doctors' experience about diabetes mellitus base on theory Structural Partial-Ordered Attribute Diagram. First, we deal with decision formal context prescriptions in 200 Medical Cases Diabetes Mellitus professor Li Saimei's working based principle optimization. Then, generate partial-order attribute diagram order to present specific character. Finally, explain properties partial structure graph...

This article is the research on value order of syndrome elements based differentiation diagnosis during clinical practice inquiry Traditional Chinese Medicine. In to fit principle diagnostics, a complex system model Medicine has been conducted by applying description multilayer system, and there are three layers included diseases, syndromes symptoms. After establishing framework knowledge using mathematics method formal concept analysis, new proposed representation structural partial-ordered...

With the continuous improvement of computer vision technology, more and image information is consumed by machines rather than humans. Image coding for (ICM) to compress data such that they can be efficiently sent receiver side conduct visual analysis. A typical deep learning-based ICM structure contains one codec network which compresses transmits images through Internet semantic analysis task as classification object recognition. In part, hyper-prior or hierarchical layers hyper-priors...

This paper presents a knowledge discovery method of selection rules for acupuncture points in respiratory diseases therapy based on the theory Structural Partial-Ordered Attribute Diagram and association rule mining. First, we briefly introduced basic definitions mining theory. Then, transformed data Traditional Chinese Medicine treatise into formal context transaction database. Finally, explained process by analyzing diseases. It was concluded that proposed this works well discovering new...

The global energy supply and demand are constantly changing, toward the leapfrog development of digital energy. How to further accelerate pace transformation is direction that many scholars have been exploring. Starting from background international strategy, this article analyzes researches new products strategy digitization, data center intelligence then discusses trend significance in future field. It aims use technology intelligent concepts promote in-depth integration modern information...

Deep learning is one kind of machine schemes that leverages the multi-layer neural network to extract features from input data so as make accurate estimation on new data. Along with rapid growth deep networks, model becoming more and accuracy, but at same time parameter size computation intensity also become a huge burden for inference, especially embedded devices like cellphones robotics autonomous vehicles. In order solve this contradiction, experts propose distinguished pruning...

In this study, we introduce a methodology for predicting the behavior of cracks in holed plates. The foundation our lies generation rich dataset finite element simulations. These simulations capture complex mechanical responses exhibited by plates under varying initial geometries. Using as training input, employ multilayer perceptron deep learning model to discern underlying relationships between plate’s geometry and its subsequent crack behavior. Through meticulous data preprocessing...

This paper explores the generalization ability of defogging algorithms on RICE (A Remote Sensing Image Dataset for Cloud Removal) remotely sensed images. is a dataset images used removing clouds, allowing researcher to better evaluate performance cloud removal from In this paper, four classical algorithms, including AOD-Net, FFA-Net, dark channel prior, and DehazeFormer, are selected applied task de-cloud in remote sensing The these analyzed by comparing experimental results, their...

Complex system is a very common objective reality, the study about complex problem frontiers and focuses of science. which always hierarchical has multi-layers, it certainly contains qualitative quantitative information, data are multi-dimensional. This paper proposed that in background, through method expressing multi-dimensional as statistical chart, we constructs hierarchical, coupled parameters information fusion model. And use this for analyzing authoritative database to demonstrate can...

The 12-tetrahedral robot is an addressable reconfigurable technology (ART)-based variable geometry truss mechanism with twenty-six extensible struts and nine nodes arranged in a tetrahedral mesh.The has the capability of reconfiguring shape dimension for environment sensing requirements, which makes it suitable space exploration environmental perception.In this paper, we have derived dynamics model presented decentralized adaptive controller robot.First, divided into node strut subsystems,...

Passive brain computer interface has provided an efficient method to conduct research about cerebral function and neuron activity measurement. And functional near-infrared spectroscopy-based passive is a developing technique, appropriate pattern classification may lead further development. In this paper, new proposed based on combination of partial order structure theory sparse representation-based classification. By using the concept representation general model classification, modified...

For research and application of functional near-infrared spectroscopy in neuroscience, appropriate signal analysis method is significant. Most researchers have applied traditional statistical features for feature extraction, classic machine learning like support vector further analysis. In this paper, a new extraction based on principles multivariate graphic representation has been proposed. Then, supervised sparse partial order structure theory suggested pattern classification. Both methods...

It is crucial for an instrumentation to have efficient method of measurement signal analysis. Especially there are multiple sensors in the instrumentation, i.e. multi-sensor information fusion. In recent years, we intend discover a new multi-source massive data Based on research Formal Concept Analysis theory, proposed Hierarchical Graph Model this paper, briefed theory and Model, then represented result application about our dataset The former has demonstrated that potential be applied

The interelement spacing of a coprime array breaks through the half-wavelength limitation, so that larger aperture can be obtained with fixed number elements. In this paper, symmetry noncircular signal is used to virtually expand L-shaped into an orthogonal cross array. Furthermore, virtual received augmented by second-order statistic data. Decoupling and dimension reduction elevation azimuth are realized z-axis subarray y-axis subarray. Finally, sparse reconstruction minimum absolute...

In theoretical research, object recognition has been a hot topic in the field of computer vision for last decade or so. There are many researches related to this top conferences and journals every year. some fine-grained application scenarios, such as face fingerprint recognition, there have relatively mature applications. paper, we study theories design implement colorful spaced drawing scheme based on OpenCV. Based this, extract match features color algorithms, finally form feature-based...