完美音浪——法拉利12CILINDRI SPIDER

近日,法拉利12Cilindri Spider在迈阿密海滩上的一场独家活动上亮相。作为一款设计理念承袭自20世纪50与60年代法拉利Gran Turismo敞篷车的新款车型,该车将公路赛车无与伦比的性能、12缸发动机声浪以及长途驾驶舒适性结合在一起,并在设计上打破了法拉利双座berlinetta Spider跑车一贯的肌肉感,采用了一种更加未来主义、建立在纯粹形式基础上的设计语言。

An Improved Jump Spider Optimization for Network Traffic Identification Feature Selection

The massive influx of traffic on the Internet has made the composition of web traffic increasingly complex.Traditional port-based or protocol-based network traffic identification methods are no longer suitable for today’s complex and changing networks.Recently,machine learning has beenwidely applied to network traffic recognition.Still,high-dimensional features and redundant data in network traffic can lead to slow convergence problems and low identification accuracy of network traffic recognition algorithms.Taking advantage of the faster optimizationseeking capability of the jumping spider optimization algorithm(JSOA),this paper proposes a jumping spider optimization algorithmthat incorporates the harris hawk optimization(HHO)and small hole imaging(HHJSOA).We use it in network traffic identification feature selection.First,the method incorporates the HHO escape energy factor and the hard siege strategy to forma newsearch strategy for HHJSOA.This location update strategy enhances the search range of the optimal solution of HHJSOA.We use small hole imaging to update the inferior individual.Next,the feature selection problem is coded to propose a jumping spiders individual coding scheme.Multiple iterations of the HHJSOA algorithmfind the optimal individual used as the selected feature for KNN classification.Finally,we validate the classification accuracy and performance of the HHJSOA algorithm using the UNSW-NB15 dataset and KDD99 dataset.Experimental results show that compared with other algorithms for the UNSW-NB15 dataset,the improvement is at least 0.0705,0.00147,and 1 on the accuracy,fitness value,and the number of features.In addition,compared with other feature selectionmethods for the same datasets,the proposed algorithmhas faster convergence,better merit-seeking,and robustness.Therefore,HHJSOAcan improve the classification accuracy and solve the problem that the network traffic recognition algorithm needs to be faster to converge and easily fall into local optimum due to high-dimensional features.

A Spider Monkey Optimization Algorithm Combining Opposition-Based Learning and Orthogonal Experimental Design

As a new bionic algorithm,Spider Monkey Optimization(SMO)has been widely used in various complex optimization problems in recent years.However,the new space exploration power of SMO is limited and the diversity of the population in SMO is not abundant.Thus,this paper focuses on how to reconstruct SMO to improve its performance,and a novel spider monkey optimization algorithm with opposition-based learning and orthogonal experimental design(SMO^(3))is developed.A position updatingmethod based on the historical optimal domain and particle swarmfor Local Leader Phase(LLP)andGlobal Leader Phase(GLP)is presented to improve the diversity of the population of SMO.Moreover,an opposition-based learning strategy based on self-extremum is proposed to avoid suffering from premature convergence and getting stuck at locally optimal values.Also,a local worst individual elimination method based on orthogonal experimental design is used for helping the SMO algorithm eliminate the poor individuals in time.Furthermore,an extended SMO^(3)named CSMO^(3)is investigated to deal with constrained optimization problems.The proposed algorithm is applied to both unconstrained and constrained functions which include the CEC2006 benchmark set and three engineering problems.Experimental results show that the performance of the proposed algorithm is better than three well-known SMO algorithms and other evolutionary algorithms in unconstrained and constrained problems.

Multi-Strategy Boosted Spider Monkey Optimization Algorithm for Feature Selection

To solve the problem of slow convergence and easy to get into the local optimum of the spider monkey optimization algorithm,this paper presents a new algorithm based on multi-strategy(ISMO).First,the initial population is generated by a refracted opposition-based learning strategy to enhance diversity and ergodicity.Second,this paper introduces a non-linear adaptive dynamic weight factor to improve convergence efficiency.Then,using the crisscross strategy,using the horizontal crossover to enhance the global search and vertical crossover to keep the diversity of the population to avoid being trapped in the local optimum.At last,we adopt a Gauss-Cauchy mutation strategy to improve the stability of the algorithm by mutation of the optimal individuals.Therefore,the application of ISMO is validated by ten benchmark functions and feature selection.It is proved that the proposed method can resolve the problem of feature selection.

Spider系统中LRU算法的使用和实现

Spider系统中URL排重操作决定了抓取互联网上内容的速度,用传统的LRU算法来实现Spider系统的URL排重问题过于浪费资源,本文给出了用面向对象的方法设计和实现对象缓存算法,用于处理Spider系统中大量的URL排重操作。

抢先式多线程Spider在智能搜索引擎中的实现

互联网的迅速发展,导致了网上信息的爆炸性增长。智能搜索引擎技术已经成为计算机工业界和学术界争相研究、开发的对象。文章在分析网络蜘蛛的工作原理的基础上,结合多线程、类的设计等技术,设计了一种抢先式多线程的Spider程序,并给出了该系统运行的结果。

Composition and Distribution of Soil Spider Assemblages in Three Natural Secondary Forests in Ziwuling, Gansu

Soil spiders were pitfall-trapped once every month in three forest vegetation types of Ziwuling natural secondary forest region, Gansu Province from April to October, 2004. A total of 2 164 spiders were collected, belonging to 43 species in 19 families, captured in 630 pitfall trap collections. Linyphiidae, Gnaphosidae and Lycosodae were found to be the dominant families in all habitat types, and the composition of soil spider assemblages was different between the three habitats. Ecological indices of diversity, richness and evenness were significantly different between the three habitats （ P 〈 0.05）. The relative abundance of guilds （based on numbers of individuals） varied greatly （P 〈 0.01）, which may releet resource availability within habitat types. The existence of different patterns within the assemblages reflects the importance of maintaining habitat heterogeneity and vegetation types in order to preserve soil spider biodiversity.

Isolation and characterization of Hainantoxin-II, a new neurotoxic peptide from the Chinese bird spider (Haplopelma hainanum)

Hainantoxin-II （HnTx-II）, a novel neurotoxin, was isolated from the venom of the Chinese bird spider （Haplopelma hainanum） by cation exchange chromatography and reverse-phase HPLC. The toxin was a single chain polypeptide with calculated molecular weight of 4 253.135 obtained by mass spectrometry. The complete amino acid sequence of HnTx-II was determined by Edman degradation and found to contain 37 residues with three disulfide bonds. Results showed HnTx-II can reversibly paralyze cockroaches for several hours after intra-abdominal injection with ED50 of 16 μg/g and kill the insects immediately at a dose of 60 μg/g. It was also shown to kill mice at a LD50 value of 1.41μg/g after intracerebroventricular injection. Hainantoxin-II shares 91% sequence homology with Huwentoxin-II （HwTx-II）, an insecticidal peptide from another bird spider （Haplopelma schmidti） with a unique scaffold. While HnTx-II and HwTx-II both exhibit toxic activities in insects and mammals, HnTx-II shows higher insecticidal activity and lower lethiferous activity of mammals than HwTx-II. These results help clarify structural-functional relationships of the polypeptide toxin.

Preliminary Studies on the Zoogeographic Divisions of Chinese Ground Spiders(Araneae:Gnaphosidae)

This paper aims to carry out the preliminary study on the zoogeographic distributions of 166 species within Gnaphosidae by clustering method,and analyze and compare the similarities of 15 subregions in seven zoogeographic regions in China.The results suggested that the division of Northern China was coincident with the distribution pattern of Chinese ground spiders,but there was subregion recombination between the other regions.There was aggregation between Da Hinggan Mountains subregion in the Northeast,east plain subregion in Mengxin area and west hungriness subregion,between Tianshan mountainous subregion in Mengxin area,Qiangtang altiplano subregion and the southwest mountainous region subregion in Southwest,and between east hill plain subregion in central China,west mountainous region altiplano subregion,Min and Guang coastal subregion in south of China and south Dian mountainous region subregion.The other two subregions in the Northeast formed a region.Qinghai and south Xizang subregion in Qinghai-Xizang Region formed a branch independently.

Study on Bio-Ecology of the Spider Clubiona corrugate

Objective] Field and laboratory observation was conducted to investigate Clubiona corrugate. [Method] The trials investigated the bio-ecology and behavior of the spider C. corrugate. [Result] The spider overwintered with spiderlings, adults and instars turn into adults after 6-8 molts. It had 2-3 generations each year in Hunan, and it owned the character of overlapping of generation in paddies. The average duration of generations of C. corrugate was 158.2 days, and the survival days av-eraged 223.2 days. The female and male mated several times without cannibalistic behavior, average number of eggs female laid throughout its adult life was 371.5, and hatchability can get 85.4%. The sex ratio was 1∶1. Its capability of resistance to starvation and drought was strong. Through indoor observation, the spider can sur-vive 25-61 days under the condition of no water and food. [Conclusion] The behav-ior of C. corrugate was also recorded in detail, and female usual y has a strong a-bility to protect their egg-sacs and spiderlings. At present, the bio-ecology and be-havior of the spider C. corrugate had not been reported.

基于ProActive的分布式并行WebSpider设计

单机Web Spider的数据采集速度较慢,采用MPI技术或直接用Java开发分布式Web Spider代价较高。该文利用ProActive中间件提供的主动对象技术、网络并行计算技术、自动部署机制设计实现了P-Spider分布式并行Web Spider。实验结果表明,该P-Spider采集速率是单机多线程Web Spider的2.2倍。

可扩展负载均衡Spider的设计

随着Web信息的快速增长,如何对Web信息进行检索,获取有价值的信息,已经成为Web信息检索的重点研究内容。本文设计一种可扩展的蜘蛛程序Spider,运用负载均衡策略调度分布Spider的协同工作,实现Web站点页面的分布式下载,在获取页面信息的同时,获取站点的拓扑结构。

可扩展Spider负载均衡策略的研究与实现

可扩展Spider采用分布式处理技术,是搜索引擎实现信息搜索的不可缺少的代理。在传统负载均衡策略基础上,对Spider的研究提出可扩展Spider的负载均衡策略,该策略能够有效的对Spider的资源进行均衡调度处理,使得Spider具有良好的可扩展性和高效性。

基于JAVA的多线程SPIDER的设计与实现

本文介绍如何利用JAVA语言实现一个多线程的SPIDER程序,该程序作为搜索引擎的数据采集器,能够高效地在网络上搜索并下载网页,以供搜索引擎使用。

基于Spider卷积的三维点云分类与分割网络

针对传统的卷积神经网络(CNN)不能直接处理点云数据,需先将点云数据转换为多视图或者体素化网格,导致过程复杂且点云识别精度低的问题,提出一种新型的点云分类与分割网络Linked-Spider CNN。首先,在Spider CNN基础上通过增加Spider卷积层数以获取点云深层次特征;其次,引入残差网络的思想在每层Spider卷积增加短连接构成残差块;然后,将每层残差块的输出特征进行拼接融合形成点云特征;最后,使用三层全连接层对点云特征进行分类或者利用多层卷积层对点云特征进行分割。在ModelNet40和ShapeNet Parts数据集上将所提网络与PointNet、PointNet++和Spider CNN等网络进行对比实验,实验结果表明,所提网络可以提高点云的分类精度和分割效果,说明该网络具有更快的收敛速度和更强的鲁棒性。

Economic analysis of spider web airline networks

The distinct network organization, management, service and operating characteristics of US Southwest Airlines are key elements of its success compared with other airlines. As a network organization type, the spider web airline network has received more attention. In this paper, we analyzed the relation between the spider web airline network and spider web, and the structure of spider web airline network, built the assignment model of the spider web airline network,and investigated the economics concerned.

分布式多线程Spider的设计与实现

搜索引擎已经是当今从浩瀚的网上资源获取信息的最快最方便的工具,因此也已成为计算机工业界和学术界争相研究、开发的对象。Spider是搜索引擎的核心模块,通过设计一个分布式多线程Spider系统,在实验中得到较好的测试结果。

速派得:Spider搭建终端智能配送网——专访速派得CEO江镇

将城市内的闲散运力整合,将拼车模式运用到物流领域,最终达到成本与效率的最优化,速派得探索的是移动互联网环境下的城市物流模式。江镇坦言,是2010年开始逐渐火热的易到用车模式给了他一个可行的落地配解决思路,他开始尝试把这一模式应用到干线终端上。经过调试,一个整合社会闲散运力,通过智能路由实现多点取送的物流模式逐渐清晰。

SPIDER:机床行业电永磁吸盘的新强者——访瑞霆贸易(上海)有限公司SPIDER技术顾问安虎述

韩国SPIDER公司成立于2009年，专注于机床行业快速工装以及金属加工工艺的优化、注塑机和冲压机的模具与刀具的快速负载和卸载技术。

基于Hi-Spider Router系统的校园VPN实现

本文通过介绍VPN的概念和技术,提出了一种架设基于Hi-Spider Router路由系统SSL VPN服务器的方案,从而构建出高性价比的校园专用网。