With the exponential growth of mobile traffic data, classification is in a great need. It an essential step to improve performance network services such as QoS and security monitoring. However, widespread use encrypted protocols, especially TLS protocol, has posed challenges traditional techniques. As rule-based deep packet inspection approaches are ineffective for classification, various machine learning methods have been studied used. Recently, solutions which enable automatic feature...

Graph isomorphism is to determine whether two graphs have the same topological structure. It plays a significant role in areas of image matching, biochemistry, and information retrieval. Quantum walk, as novel quantum computation model, has been employed isomorphic mapping detection optimize time complexity compared with classical model. However, these quantum-inspired algorithms do not perform well—and even cease work—for inherent symmetry, such regular graphs. By analyzing impacts symmetry...

The isomorphism problem involves judging whether two graphs are topologically the same and producing structure-preserving mapping. It is widely used in various areas. Diverse algorithms have been proposed to solve this polynomial time, with help of quantum walks. Some these algorithms, however, fail find Moreover, most very limited performance on regular which generally difficult deal due their symmetry. We propose IsoMarking discover an mapping effectively, based walk sensitive topological...

In this paper, we investigate a two-way relay network consisting of two sources, multiple cooperative relays and an eavesdropper. To enhance secure communications, new chatting based on transmission scheme is proposed. Specifically, the proposed selects best that maximize sum mutual information among sources to forward sources’ signals using amplify-and-forward protocol, remaining transmit interference confuse eavesdropper via distributed beam forming. It can be found with does not require...

Lattice reduction (LR) aided multiple-input multiple-output (MIMO) detectors have been considered as an option to obtain near-maximum likelihood (ML) performance. We first give the analysis show that large signal-to-noise ratio (SNR) corresponds short length of dual basis vectors. Then, in order further alleviate complexity LR MIMO while maintaining acceptable performance, we study dual-lattice methods and propose a fast (FDLR) algorithm which minimizes orthogonality deficiency dual-basis....

Recently, a multiple symbol differential sphere decoding (MSDSD) algorithm for unitary space-time modulation over quasi-static channel has been proved to achieve the performance of maximum-likelihood (ML) detection with relatively low complexity. However, an error floor occurs if is applied rapid-fading channels. Based on assumption continuous fading, approximate automatic (MSDAASD) developed by incorporating recursive form ML metric into decoding. The proposed suitable arbitrary...

In a multiple-antenna broadband system, differential space- frequency modulation (DSFM) MIMO-OFDM in conjunction with noncoherent detection, which avoids channel state information (CSI) estimation, is attractive for time- and frequency- selective channels its reduced complexity. However, long power-delay profile (PDP), we encounter frequently systems, will deteriorate the performance rapidly. this paper, sequence detection of DSFM proposed, exploits correlation among subcarriers utilizes...

Stuck algorithm (SA) has been proved to be the most efficient one among existing sphere decoding algorithms, although it needs a large amount of time-consuming comparisons. In this paper, pruning stack (PSA) is proposed decrease size border node list in SA by statistical pruning. With proper configuration, good tradeoff achieved between performance and complexity. For high order modulations, PSA able reduce number comparisons at least 30% as compared without much penalty performance.

The source detection problem is the reverse of information diffusion. It identifying sources diffusion process. However, most existing algorithms have limited performance due to various reasons, therefore application limited. We propose an approach, namely Quantum Walk based Source Detection (QWSD), identify nodes on continuous-time quantum walk (CTQW). can be utilized simulate Therefore, we utilize reversed diffusion, thus revealing probability for a node node. first time that applied...

Multiple-symbol differential sphere decoding (MSDSD) is an attractive solution for transmission over multiple-input multiple-output (MIMO) Rayleigh-fading channels, which jointly processes blocks of N received symbols. However, the application a algorithm using Schnorr-Euchner enumeration strategy, explicit ordering ML metric candidate symbols still computational demanding, especially large constellation size. In this paper, we show that specific construction constellations, there exists...

This study addresses the problem of power allocation and mode selection in a hybrid coordinated multi‐cell transmission system with limited backhaul capacity. The consumption is considered as extra expense due to data exchange via links. A novel scheme presented, which each mobile station (MS) can dynamically select either interference channel or multi‐input multi‐output cooperation mode. To maximise energy efficiency (EE), optimal low complexity proposed. Moreover, authors propose an...

Variational quantum eigensolvers (VQEs) are one of the most important and effective applications computing, especially in current noisy intermediate-scale (NISQ) era. There mainly two ways for VQEs: problem-agnostic problem-specific. For methods, they often suffer from trainability issues. problem-specific their performance usually relies upon choices initial reference states which hard to determine. In this paper, we propose an Entanglement-variational Hardware-efficient Ansatz (EHA),...

Multi-wavelength fiber lasers are under intense research due to their potential in many application fields like wavelength-division-multiplexing communication, fiber-based sensing, ranging, microwave photonics and terahertz generation, etc. In this manuscript, we will present our detailed investigation on tunable high power multi-wavelength double-clad laser pumped by high-power multimode diode. The is constructed a ring-cavity. By adjusting the polarization-controller inside cavity, can...

Electric vehicle with zero-emission and no pollution, is an ideal clean energy vehicle, which can effectively solve the increasingly serious environmental issues. In this paper, we aim to construct a model make better plans for transition of gasoline diesel vehicles electric vehicles. We choose South Korea as example research analysis in great detail. According task one, optimal number charging stations 1.46 million, key factor affecting plan development geographical distribution. Then by...

Graph classification is a challenging problem that assigns the structured data into several categories. The success of kernel methods in graph has aroused many designs novel kernel. In this paper, we present multiview kernel, new method to combine advantages multiple functions (Graphlet and Weisfeiler-Lehman kernel). Experiments on benchmark datasets show could achieve significant improvements compared with original kernels.

Abstract In this paper, we use bayes’ theorem to generate two mathematical models for a series of crimes. This crimes is dynamic process, so regard it as JTC model. model, there are some major factors, such the individual’s vulnerability crime, attractiveness place crime and utilization from origin destination. We combine bayesian with model obtain geographical distribution. made full predict location next perpetrator in series.

In order to improve the present situation of higher mathematics teaching and effect classroom teaching, a new model based on BOPPPS PAD class is put forward, explored from four aspects: elaborately designing links, enriching improving resources, continuously innovating methods means, constructing cases. The practice shows that mode has realized deep interaction effective evaluation, optimized efficiency.