An intelligent prediction model of epidemic characters based on multi-feature

The epidemic characters of Omicron(e.g.large-scale transmission)are significantly different from the initial variants of COVID-19.The data generated by large-scale transmission is important to predict the trend of epidemic characters.However,the re-sults of current prediction models are inaccurate since they are not closely combined with the actual situation of Omicron transmission.In consequence,these inaccurate results have negative impacts on the process of the manufacturing and the service industry,for example,the production of masks and the recovery of the tourism industry.The authors have studied the epidemic characters in two ways,that is,investigation and prediction.First,a large amount of data is collected by utilising the Baidu index and conduct questionnaire survey concerning epidemic characters.Second,theβ-SEIDR model is established,where the population is classified as Susceptible,Exposed,Infected,Dead andβ-Recovered persons,to intelligently predict the epidemic characters of COVID-19.Note thatβ-Recovered persons denote that the Recovered persons may become Sus-ceptible persons with probabilityβ.The simulation results show that the model can accurately predict the epidemic characters.

Intelligent Control and Maintenance Man-agement Integrated System Based on Multi-Agents for Coal-Preparation Plant

This paper discusses the progress of computer integrated processing （CIPS） of coal-preparation and then preserits an intelligence controlled production-process, device-maintenance and production-management system of coal- preparation based on multi-agents （IICMMS-CP）. The construction of the IICMMS-CP, the distributed network control system based on live intelligence control stations and the strategy of implementing distributed intelligence control system are studied in order to overcome the disadvantages brought about by the wide use of the PLC system by coaipreparation plants. The software frame, based on a Multi-Agent Intelligence Control and Maintenance Management integrated system, is studied and the implemention methods of IICMMS-CP are discussed. The characteristics of distributed architecture, cooperation and parallel computing meet the needs of integrated control of coal-preparation plants with large-scale spatial production distribution, densely-related processes and complex systems. Its application further improves the reliability and precision of process control, accuracy of fault identification and intelligence of production adjustment, establishes a technical basis for system integration and flexible production. The main function of the system has been tested in a coal-preparation plant to good effect in stabilizing product quality, improving efficiency and reducing consumption.

Investigation of system structure and information processing mechanism for cognitive skywave over-the-horizon radar

Based on the cognitive radar concept and the basic connotation of cognitive skywave over-the-horizon radar（SWOTHR）, the system structure and information processingmechanism about cognitive SWOTHR are researched. Amongthem, the hybrid network system architecture which is thedistributed configuration combining with the centralized cognition and its soft/hardware framework with the sense-detectionintegration are proposed, and the information processing framebased on the lens principle and its information processing flowwith receive-transmit joint adaption are designed, which buildand parse the work law for cognition and its self feedback adjustment with the lens focus model and five stages informationprocessing sequence. After that, the system simulation andthe performance analysis and comparison are provided, whichinitially proves the rationality and advantages of the proposedideas. Finally, four important development ideas of futureSWOTHR toward ＂high frequency intelligence information processing system＂ are discussed, which are scene information fusion, dynamic reconfigurable system, hierarchical and modulardesign, and sustainable development. Then the conclusion thatthe cognitive SWOTHR can cause the performance improvement is gotten.

Intelligent Information Processing in Imaging Fuzes

In order to study the problem of intelligent information processing in new types of imaging fuze, the method of extracting the invariance features of target images is adopted, and radial basis function neural network is used to recognize targets. Owing to its ability of parallel processing, its robustness and generalization, the method can realize the recognition of the conditions of missile-target encounters, and meet the requirements of real-time recognition in the imaging fuze. It is shown that based on artificial neural network target recognition and burst point control are feasible.

Efficient pipelined flow classification for intelligent data processing in IoT

The packet classification is a fundamental process in provisioning security and quality of service for many intelligent network-embedded systems running in the Internet of Things(IoT).In recent years,researchers have tried to develop hardware-based solutions for the classification of Internet packets.Due to higher throughput and shorter delays,these solutions are considered as a major key to improving the quality of services.Most of these efforts have attempted to implement a software algorithm on the FPGA to reduce the processing time and enhance the throughput.The proposed architectures,however,cannot reach a compromise among power consumption,memory usage,and throughput rate.In view of this,the architecture proposed in this paper contains a pipelinebased micro-core that is used in network processors to classify packets.To this end,three architectures have been implemented using the proposed micro-core.The first architecture performs parallel classification based on header fields.The second one classifies packets in a serial manner.The last architecture is the pipeline-based classifier,which can increase performance by nine times.The proposed architectures have been implemented on an FPGA chip.The results are indicative of a reduction in memory usage as well as an increase in speedup and throughput.The architecture has a power consumption of is 1.294w,and its throughput with a frequency of 233 MHz exceeds 147 Gbps.

5^(th)International Conference on Intelligent Information Processing (IIP2008)

September 10 ~12 ,2008,Lyon,France The IIP conference series provides aforumfor engineers andscientistsin academia,university andindustryto present theirlatest researchfindings in any aspects of intelligent information processing.This ti me , we especially encourage papers on Knowledge Discovery , Knowledge Management ,Intelligent Agents , Machine Learning, Autonomic Reasoning etc.We also welcome papers that highlight successful modern applications of IIP,such as Biomedicine ,Bioinformatics ,e-Services ,e-Learning, Business Intelligence.IIP2008 attempts to meet the needs of a large and diverse community.

Application of Depth Learning Algorithm in Automatic Processing and Analysis of Sports Images

With the rapid development of sports,the number of sports images has increased dramatically.Intelligent and automatic processing and analysis of moving images are significant,which can not only facilitate users to quickly search and access moving images but also facilitate staff to store and manage moving image data and contribute to the intellectual development of the sports industry.In this paper,a method of table tennis identification and positioning based on a convolutional neural network is proposed,which solves the problem that the identification and positioning method based on color features and contour features is not adaptable in various environments.At the same time,the learning methods and techniques of table tennis detection,positioning,and trajectory prediction are studied.A deep learning framework for recognition learning of rotating flying table tennis is put forward.The mechanism and methods of positioning,trajectory prediction,and intelligent automatic processing of moving images are studied,and the self-built data sets are trained and verified.

面向高强极薄铜箔制造过程的多维度质量控制系统设计

高强极薄铜箔的制造过程具有工艺复杂、各阶段耦合性强、产品质量影响因素多等特点,面向制造过程的质量控制技术及相关质量控制系统将是实现其高效稳定生产的重要保证。针对现阶段铜箔制造企业在高强极薄铜箔制造工艺稳定性和质量控制方面相关技术和软件系统上的缺失,提出了一套多维度质量控制系统设计方案。通过对铜箔制造过程及其质量管控需求进行分析,建立了具有三层架构的系统框架,重点从产品质量控制、工艺质量智能保证及生产系统运行质量监测3个维度对各子系统的内涵及功能进行了设计,为实现高强极薄铜箔的高效稳定及智能化生产提供保证,并可供质量控制领域自主工业软件研发借鉴。

精锻工艺数字化智能化方法探讨

精锻是零部件制造的一种重要方法,研究其数字化和智能化成形方法对产业转型升级具有重要意义。首先介绍了我国精锻成形工艺同国外先进水平的差距,分析了目前精锻工艺方案设计方法的优点及存在的问题。随后论述了精锻成形工艺数字化智能化方法的内涵,以及精锻成形工艺方案的数字化智能化设计与智能自动生产线的建立。最后,以气门电热镦粗成形工艺为例,阐述了数字化智能化方法与软件系统的开发及应用情况。应用结果表明,实现精锻成形工艺方案及工艺参数的数字化智能化设计不仅能够显著提高设计效率,而且可以达到自动优化的目标,实现精锻成形工艺与信息技术的深度融合,从而达到提质增效的效果。

防护林体系空间配置优化系统的研究与应用

该文分析了防护林体系空间配置研究现状中存在的问题,以智能优化防护林体系空间配置为思想,结合计算机技术和层次分析法,根据信息系统的理论,在Microsoft.net平台下研究并实现了防护林体系空间配置优化系统。该系统结合层次分析法的基本步骤,以向导的方式,提示用户按照设定的步骤,并结合应用区域的实际情况和专家经验,完成防护林体系空间配置的优化。为进一步验证系统的功能,应用该系统对华北土石山区半城子流域的防护林体系空间配置进行了优化,结果表明,该系统具有功能设计合理、界面友好、操作简便等显著特点,并具有较好的应用价值。该系统为防护林体系空间配置研究向智能化、高效化方向迈进奠定了基础。

从种植和加工视角浅析茶叶产业建设和供应链质量追溯系统的优化研究——以九江为例

我国是茶叶资源丰富的国家,茶叶产业属于重要产业。文中以九江茶叶供应链为研究对象,从种植和加工的角度分析,通过精细化建设,建立茶农合作组织并完善深加工制度。建立质量追溯系统,探寻智慧化供应角度下,企业通过追溯系统来探寻未来的发展之路。

Cognitive mechanism related to line drawings and its applications in intelligent process of visual media： a survey

Line drawings, as a concise form, can be recognized by infants and even chimpanzees. Recently, how the visual system processes line-drawings attracts more and more attention from psychology, cognitive science and computer science. The neuroscientific studies revealed that line drawings generate similar neural actions as color photographs, which give insights on how to efficiently process big media data. In this paper, we present a comprehensive survey on line drawing studies, including cognitive mechanism of visual perception, computational models in computer vision and intelligent process in diverse media applications. Major debates, challenges and solutions that have been addressed over the years are discussed. Finally some of the ensuing challenges in line drawing studies are outlined.

Intelligent methods for the process parameter determination of plastic injection molding

Injection molding is one of the most widely used material processing methods in producing plastic products with complex geometries and high precision. The determination of process parameters is important in obtaining qualified products and maintaining product quality. This article reviews the recent studies and developments of the intelligent methods applied in the process parameter determination of injection molding. These intelligent methods are classified into three categories： Case-based reasoning methods, expert sys- tem-based methods, and data fitting and optimization methods. A framework of process parameter determination is proposed after comprehensive discussions. Finally, the conclusions and future research topics are discussed.

炼焦智能配煤系统初步研究

基于炼焦生产过程的优化控制模型影响焦炭质量、炼焦成本和损耗,针对智能配煤系统中的储运系统、配煤系统和焦炭质量预测系统开展研究,列出了智能炼焦过程的工艺流程,并对路程和成本优化、堆放过程优化、出料质量控制等进行探讨。收集焦炭指标的实际测量值,进行汇总和记录后将焦炭质量按对应的级别进行分类,并将焦炭产品质量与配合煤的参数进行关联后建立预测模型,对模型预测与实际结果的误差进行修正和模型矫正,完成反馈调节及修改相应参数以完善模型。并对粒径分布对配煤过程的影响进行探讨,指出细粒径煤在型煤的配煤过程中对抗压强度和跌落强度的提高均有促进作用。

Research of intelligence data mining based on commanding decision-making

In order to rapidly and effectively meet the informative demand from commanding decision-making, it is important to build, maintain and mine the intelligence database. The type, structure and maintenance of military intelligence database are discussed. On this condition, a new data-mining arithmetic based on relation intelligence database is presented according to the preference information and the requirement of time limit given by the commander. Furthermore, a simple calculative example is presented to prove the arithmetic with better maneuverability. Lastly, the problem of how to process the intelligence data mined from the intelligence database is discussed.

Improved Estimation of Distribution Algorithm for Solving Unrelated Parallel Machine Scheduling Problem

Scheduling problem is a well-known combinatorial optimization problem.An effective improved estimation of distribution algorithm(IEDA) was proposed for minimizing the makespan of the unrelated parallel machine scheduling problem(UPMSP).Mathematical description was given for the UPMSP.The IEDA which was combined with variable neighborhood search(IEDA_VNS) was proposed to solve the UPMSP in order to improve local search ability.A new encoding method was designed for representing the feasible solutions of the UPMSP.More knowledge of the UPMSP were taken consideration in IEDA_ VNS for probability matrix which was based the processing time matrix.The simulation results show that the proposed IEDA_VNS can solve the problem effectively.

大秦玉龙煤炭集运站设计研究

针对近年来新建煤炭集运站在运行过程中存在的问题,结合山西大秦玉龙煤炭集运站设计实践,详细阐述了大型煤炭集运站厂址选择与建设规模确定、受煤工艺及系统布置、储(配)煤工艺及系统布置、装车方式及装车工艺系统布置及总平面布置的思路和方法,同时采用车辆自动识别系统、远程控制等新技术实现从受煤到储配煤及装车整个生产作业过程的自动化、智能化,达到安全环保高效,大幅降低生产成本。

Development of the entire roller inlayed block intelligence cold strip shape meter and its industrial application

The entire roller inlayed block intelligence cold strip shape meter is developed successfully in this paper,which can stably work chronically in the cold rolling workshop,the independent innovation of the key technology of cold strip shape measuring,the foreign technical monopoly and blockade are broken through.The structural form which is different from the international popular segmented detection roller is put forward,the entire detection roller inlayed block is developed,a group of elastic blocks in that the sense organs are installed are inlayed in the radial symmetry rectangular grooves of the detection roller body,the entire roller structure is composed of elastic pieces and the roller body,the scratch of the strip surface due to different thermal expansion of the traditional detection roller measuring unit is avoided effectively.The signal transmission form which is different form the international popular dry slip ring is put forward,the spray wet slip ring is developed,slip ring and detection roller can be taken down and installed as possibly as fast,so the maintain is convenient,while through the section auto-spray cleaning,lubrication and cooling, the service life is remarkable improved and the outside interference signal is reduced.The signal processing form which is different form the international popular gathering card is put forward,the embedded DSP shape signal processing hardware system is developed,the electromagnet,temperature,humidity and vibration's interference of industry practice to shape transmission signal can be effectively avoided,which can guarantee the instantaneity and measured precision of shape measured signal.The shape signal processing software system whose function contains error compensation,pattern recognition,establishment of the target shape and the closed-loop control calculation is built,the shape meter' computer human interaction is friendly,and function of shape meter is strong,at the same time the intellectualized level of the shape meter is improved.Now,this shape meter has been successfully applied on the 1 250 mm cold strip mill of Angang Steel Company Limited,the long-term operating testing is done,every guide line achieves the anticipative effect,the measuring precision is high and the measuring signal is stable and reliable,the shape meter is tested on high speed,big tension,changed wrap angle and big depressed complicated working conditions,any scratch of the detection roller surface and the strip surface is not appearing,it can completely adapt well to the industrial production environment,reaching the international advanced level.

Collaborative manufacturing technologies of structure shape and surface integrity for complex thin-walled components of aero-engine:Status,challenge and tendency

Presently,the service performance of new-generation high-tech equipment is directly affected by the manufacturing quality of complex thin-walled components.A high-efficiency and quality manufacturing of these complex thin-walled components creates a bottleneck that needs to be solved urgently in machinery manufacturing.To address this problem,the collaborative manufacturing of structure shape and surface integrity has emerged as a new process that can shorten processing cycles,improve machining qualities,and reduce costs.This paper summarises the research status on the material removal mechanism,precision control of structure shape,machined surface integrity control and intelligent process control technology of complex thin-walled components.Numerous solutions and technical approaches are then put forward to solve the critical problems in the high-performance manufacturing of complex thin-wall components.The development status,challenge and tendency of collaborative manufacturing technologies in the high-efficiency and quality manufacturing of complex thin-wall components is also discussed.

整辊镶块智能型冷轧带钢板形仪的研制与工业应用

为提高冷轧带钢板形检测精度,研制出一种新型的冷轧带钢板形仪———整辊镶块智能型板形仪。该板形仪提出与国际上流行的分段式检测辊不同的结构形式,研制了整辊镶块式检测辊,以避免传统检测辊辊片之间由于热膨胀不同对带钢表面造成的划伤;提出与国际上流行的干式集流环不同的信号集流传输方式,研制了喷淋湿式集流环,以提高检测精度和使用寿命;提出与国际上流行的采集卡形式不同的信号处理方式,研制了嵌入式DSP板形信号处理硬件系统,以提高检测精度和抗干扰能力;研发了具有误差补偿、模式识别、目标板形制定和闭环控制计算功能的板形信号处理软件系统,以实现板形仪的智能化。该板形仪经在鞍钢1 250mm冷轧机上实际工业考验证明,测量信号稳定可靠,而且实现了板形闭环控制。