Understanding the physical mechanisms of brain functions has always been a challenging problem in fields nonlinear dynamics and network science. A promising approach to address this is by studying signal propagation on cognitive networks. So far, context propagation, some progress achieved complex networks, especially network, but little attention paid empirical networks human brain, which are responsible for tasks. Here we study how neural firings propagated brain. We find that firing can...

Breast cancer has become one of the most common malignant tumors in women worldwide, and it seriously threatens women's physical mental health. In recent years, with development Artificial Intelligence(AI) accumulation medical data, AI begun to be deeply integrated mammography, MRI, ultrasound, etc. assist physicians disease diagnosis. However, existing breast diagnosis model based on Computer Vision(CV) is greatly affected by image quality; other hand, Natural Language Processing(NLP)...

Remote synchronization (RS) may take an important role in brain functioning and its study has attracted much attention recent years. So far, most studies of RS are focused on the Stuart-Landau oscillators with mean-field coupling. However, realistic cases have more complicated couplings behaviors, such as networks. To make a substantial progress toward situations, we here present model phase frustration show that can be induced for those systems where no exists when there is frustration. By...

To accelerate the industrialization of metal additive manufacturing (AM), especially for powder-bed-based processes, there is a huge demand to develop alternative powder methods producing highquality powder. In this work, 17-4PH stainless steel was produced using novel gas atomization method based on arc spraying process. The morphology powder, as well mechanical properties printed specimens SLM, were characterized and tested. obtained results compared with commercial its SLM specimens....

Many human-centric systems have begun to use business process management technology in production. With the operation of systems, more and logs data been accumulated. However, effective utilization analysis these event are challenges that people need solve urgently. Process mining is a branch technology. It can extract knowledge from build models, which helps detect improve processes. The current algorithms inadequate dealing with log noise. family alpha-algorithms ignores impact noise,...

To understand how the long connections of a brain functional network come from short its corresponding structural network, remote synchronization (RS) was recently studied in star graph networks. However, motif cannot completely characterize features networks as leaf nodes may also be connected to each other some extent real Especially, dynamics will seriously influenced by surrounding nodes, i.e., parts network. study RS networks, we here present model star-like considering both partial...

Supercritical airfoil has been widely applied to large aircrafts for sake of high aerodynamic efficiency. The characteristics supercritical are rather sensitive Reynolds number. Therefore, number great effects on the economy, comfort and even safety aircrafts. Flows over a typical XY numerically investigated different numbers in this paper; two-dimensional Navier-Stokes equations solved with structure grids by utilizing Spalart-Allmaras (S-A) turbulence model. Computational results RAE2822...

It is well known that brain functions are closely related to the synchronization of networks, but underlying mechanisms still not completely understood. To study this problem, we here focus on cognitive in contrast a global network, as individual fact performed by different networks network. In detail, consider four levels and two approaches, i.e., either with or without resource constraints. For case constraints, find have fundamentally behaviors from networks; former has continuous...

We develop 520-nm green GaN LEDs with a 340-MHz E-O bandwidth. For the first time, an OFDM signal modulates LED, which data rate achieves 2.16 Gb/s at low current density 679 A/cm2.

Top-k similarity join has been used in a wide range of applications that require calculating the most top-k similar pairs data records given database.However, time performance will be challenging problem, as an increasing trend need to process massive data.Obviously, finding such vast amounts with traditional methods is awkward.In this paper, we propose RDD-based algorithm perform for multidimensional over large cluster built commodity machines using Spark.The consists four steps, which...

The optimal path planning for robot patrol is a combinatorial optimization problem that aims to solve the smallest Hamiltonian circle of complete graph. Such problems are typical NP-hard problems, and computational complexity existing precise algorithm increases exponentially with expansion scale. Even if considerable amount running time employed, it difficult obtain global solution. This paper presents method based on combined deep reinforcement learning (DRL). combines neural networks...

Association rule discovery from sensor time series is a challenge. Because the has high dimensional, numerical and continuous nature. However general association methods can only deal with data which are symbolic discrete. And have processing consumption when dimension. So useful framework proposed, pre-processing, representation, discretization temporal mining. In section, modified method proposed combine advantages of other methods, such as piecewise aggregate approximation (PAA), knee...

Session identification is an important process in web log mining for predictive prefetching of users' next request based on their navigation behavior. However, there are mainly two challenges towards this problem: one how to effectively deal with the huge dataset and other accurately identify user's session boundaries. To meet challenges, we proposed a novel algorithm which combines time referrer implemented it popular MapReduce framework Hadoop platform achieve higher performance....

Wireless sensor networks are a modern and advanced technology whose applications fast developing in recent years. Despite being fascinating topic with various visions of more intelligent world, there still exist security issues to be resolved order make WSNs fully adoptable. Due the resource constraints nodes, it is infeasible use traditional key establishment techniques that find fixed communication systems. In this paper, design new hybrid Authenticated Group Key Agreement (AGKA) protocol...