A key challenge for the design of dual three-phase electric machine is how to increase its electromagnetic torque and reduce short-circuit current simultaneously. In this paper, a novel mixed iron-pole Halbach (MIH) magnet pattern proposed machine. It can offer variety advantages. First, it improves air gap flux density, which help output Second, increases inductance phase winding, significantly. Third, self-shielding effect, back iron rotor mass. Analytical, numerical experimental...

Surface-mounted permanent magnet synchronous electric machines play an important role in industrial production. Output torque and efficiency are indicators of machines. The key parameters have a great influence on output efficiency. First, this paper gives the conceptual design diagram machine derives governing equations structure optimized by numerical simulation, relationships between core material, grade studied. Subsequently, stator rotor is researched. research results show that...

There has been an intense development on the estimation of a sparse regression coefficient vector in statistics, machine learning and related fields. In this paper, we focus Bayesian approach to problem, where sparsity is incorporated by so-called spike-and-slab prior coefficients. Instead replying MCMC for posterior inference, propose fast scalable algorithm based variational approximation distribution. The updating scheme employed our different from one proposed Carbonetto Stephens (2012)....

Particle swarm optimization (PSO) is an intelligent algorithm inspired by intelligence. It has been shown that PSO a good optimizer on various problems. Due to the inherent randomness of PSO, it easily falls into local minima when dealing with multimodal In order enhance performance problems, this paper proposes novel employing adaptive parameter control and example-based learning. Conducted experiments nine well-known problems show our approach outperforms standard unified (UPSO), fully...

The traditional K-means clustering algorithm is difficult to initialize the number of clusters K, and initial cluster centers are selected randomly, this makes results very unstable. Meanwhile, algorithms susceptible noise points. To solve problems, improved. improved method divided into same grid in space, according size data point property value assigns it corresponding grid. And count points each Selecting M (M>K) grids, comprising maximum points, calculate central point. These as input...

Nowadays, the big success of deep learning makes artificial neural network becoming a hot topic once again, and size networks' structure is key visual cue for structured learning.The greater may get study task done well, while it increase computation overhead easier cost more.Hence, construction an important issue, as well difficult problem.In this paper, we proposed novel sensitivity-based adaptive architecture pruning algorithm Madalines.The establishes measure based on sensitivity to its...

There exists a method to reduce 3-SAT (Satifiability) problem Subset Sum Problem (SSP) in the literature, however, it can only be applied small or medium size problems. Our study is find an efficient transform general SAT problems binary integer linear programming (BILP) larger size. Observing feature of variable-clauses constraints SAT, we apply inequality model (LIM) and propose called LIMSAT which based on reduction from 3SAT Sub-set (SSP). Being different classical one, new treats each...

No abstract available.

Isoline generating is often used in reservoir simulation, but the speed of data processing likely to become slowly while number enormous. During isoline generating, tracing takes most time. In order satisfy requirement real-time, an algorithm with CUDA designed this paper. here, equivalent points are stored texture memory, and took indexed array instead link list structure. make full use multi-thread GPU, a new method for The experiment shows that high effective even if

In computational complexity theory, a decision problem is NP-complete when it both in NP and NP-hard. Although solution to can be verified quickly, there no known algorithm solve polynomial time. There exists method reduce SAT (Satifiability) Subset Sum Problem (SSP) the literature, however, only applied small or medium size problems. Our study find an efficient transform mixed integer linear programming larger size. Observing feature of variable-clauses constraints SAT, we apply inequality...

Coding distributed computing (CDC) has been widely used in many fields, such as recommendation systems, image classification, etc.. In the process of applying CDC to user's privacy protection and stragglers (computation latency) should be taken into consideration. Although solutions have proposed address these two considerations, they require additional computation resources that may result higher communication load. this paper, we propose PCRec, a Private scheme based on edge computing,...