算力网络应用平台研究与设计

针对算力网络(CPN)因算力多样泛在、多要素融合、需求差异化的特点导致的用户使用困难、应用管理难等问题,从纳管与接入、决策与调度、应用与开放三个层面研究算力网络应用的管理以及异构算力融合和跨域编排关键技术,并设计一个算力网络应用平台。通过提供一种即开即用、按需付费的零感知算网应用服务,使用户关注于应用服务需求,无需关心算力资源需求和算力网络复杂环境,从而实现降低用户的算力网络使用门槛,提升算网应用的使用和管理效率的目标。

边缘算力架构及应用场景分析

分散去中心化的边缘算力可以满足各类用户不断涌现的低时延、大带宽、强安全等方面的特性化需求。边缘算力与传统云算力相比,架构同样由基础设施层和应用服务层组成,但更注重统一架构,标准化适配,以期实现边缘算力规模的弹性伸缩以及算力在多边缘之间的灵活调度。文章分析边缘算力的四类应用场景,包括虚拟云网关、云化网络存储、游戏云桌面、家庭安全防护等的实现思路及优势特点,并提出边缘算力的部署建议。

天津市算力资源创新应用发展战略研究

数字经济时代,算力作为一种新的生产力,广泛融合到社会生产生活的各个方面,为千行百业数字化转型提供基础动力。总结分析了当前天津市算力资源创新应用的基础,提出了下一步天津市算力资源创新应用的方向及建议。建议天津市积极抓住算力发展新机遇,充分挖掘算力资源优势,围绕算力资源创新应用赋能产业发展、科技创新、社会治理、城市建设,通过统筹兼顾多层算力、构建云边端协同架构、加速算力融合创新、完善算力产业生态和优化算力服务体系等举措,逐步打造成为全国算力资源创新应用高地。

异构算力的应用与展望

随着数字经济的不断发展,不同的应用场景对算力资源的要求和侧重点呈现较大差异,同时物联网、AI、边缘计算、高性能计算等新技术的发展也对算力资源的性能提出了更高的要求,二者共同推动算力资源逐渐朝着多元异构和泛在部署的方向发展,以达到更高的算力资源使用率和用户体验度。文章将从算力角度出发,分析异构算力的应用场景,探讨异构算力的运营和关键技术,并介绍行业中异构算力的应用案例。

面向异构算力网络调度的研究

在“东数西算”工程背景下,算力基础设施迎来了飞速发展,产生了大量异构算力资源。云—边—端的算力与网络协同,能够满足多种异构算力资源与众多应用场景的高效匹配。基于异构算力网络调度展开研究,为异构算力网络融合调度技术提供研究思路,系统性地分析了技术发展现状、算力网络融合调度关键技术与挑战,提出了众多应用场景。但实际应用中异构算力网络调度更为复杂,仍面临许多不确定性挑战,需要不断完善。

An improved self-adaptive membrane computing optimization algorithm and its applications in residue hydrogenating model parameter estimation

In order to solve the non-linear and high-dimensional optimization problems more effectively, an improved self-adaptive membrane computing(ISMC) optimization algorithm was proposed. The proposed ISMC algorithm applied improved self-adaptive crossover and mutation formulae that can provide appropriate crossover operator and mutation operator based on different functions of the objects and the number of iterations. The performance of ISMC was tested by the benchmark functions. The simulation results for residue hydrogenating kinetics model parameter estimation show that the proposed method is superior to the traditional intelligent algorithms in terms of convergence accuracy and stability in solving the complex parameter optimization problems.

A-E equation of potential field transformations in the wavenumber domain and its application

A shift sampling theory established by author （1997a） is a generalization of Fourier transform computation theory. Based on this theory, I develop an Algorithm-Error （A-E） equation of potential field transformations in the wavenumber domain, which not only gives a more flexible algorithm of potential field transformations, but also reveals the law of error of potential field transformations in the wavenumber domain. The DFT0η η（0.5, 0.5） reduction-to-pole （RTP） technique derived from the A-E equation significantly improves the resolution and accuracy of RTP anomalies at low magnetic latitudes, including the magnetic equator. The law （origin, form mechanism, and essential properties） of the edge oscillation revealed by the A-E equation points out theoretically a way of improving the effect of existing padding methods in high-pass transformations in the wavenumber domain.

An Essential Solution of Water Entry Problems and its Engineering Applications

For solving water entry problems, a numerical method is presented, which is a CFD method based on free surface capturing method and Cartesian cut cell mesh.In this approach, incompressible Euler equations for a variable density fluid are numerically calculated by the finite volume method.Then artificial compressibility method, dual time-stepping technique and Roe's approximate Riemann solver are adopted in the numerical scheme.Finally, some application cases are designed to show the ability of the current method to cope with water entry problems in ocean engineering.

Employability Skills Needed by Higher Vocational Education Graduates to Be Successful in the Workplace

The current issues in workforce development are on high competence not only in technical skills, but also in non-technical skills. The term of non-technical skills is also called as employability skills. The research with topic analysis and development ofemployability skills of polytechnic students aims to： describe supervisors＇ perceptions of the importance of the employability skills needed in the workplace; describe supervisors＇ perceptions of the students＇ level of competence at performing the employability skills; and find the attributes of employability skills that are need to prioritize for development. Research sample has been selected by using a stratified random sampling from the supervisor of last year students when they are on the job training in industry. Total 146 supervisors participated in this research. The Employability Skills Questionnaire with a five-point Liken scale was used to assess perceptions level of importance of identified employability skills and students＇ level of competence. Data were analyzed by descriptive statistics, means and standard deviations, and priority development analysis. Three main groups of the employability skills with highest important level are： workplace health and safety, self-management, and team working. Students have a high level of competence in occupational health and safety, self-management and learning skills. There are three attributes of employability skills in high priority category for developed： knowing the benefits of computer application programs are needed in the work, taking the initiative in organizing activities, and participating in learning activities to gain new experience.

Adaptive Application Offloading Decision and Transmission Scheduling for Mobile Cloud Computing

Offloading application to cloud can augment mobile devices' computation capabilities for the emerging resource-hungry mobile application, however it can also consume both much time and energy for mobile device offloading application remotely to cloud. In this paper, we develop a newly adaptive application offloading decision-transmission scheduling scheme which can solve above problem efficiently. Specifically, we first propose an adaptive application offloading model which allows multiple target clouds coexisting. Second, based on Lyapunov optimization theory, a low complexity adaptive offloading decision-transmission scheduling scheme has been proposed. And the performance analysis is also given. Finally, simulation results show that,compared with that all applications are executed locally, mobile device can save 68.557% average execution time and 67.095% average energy consumption under situations.

Experimental and Computational Investigation of Hybrid FRP Bonded-Reinforced Concrete Beams under Cyclic Loading

Although several experimental and numerical studies have been carried out on the shear capacity of RC beams retrofitted by carbon or glass fibre-reinforced polymers, there has been little work on hybrid FRP sheet applications, particularly under cyclic loading. In the present research, five RC beams were constructed, and four of which were retrofitted using various schemes of FRP sheets. All beams were subjected to quasi-static cyclic loading in an attempt to represent the effect repetitive loading. The ultimate load, and deflection response at mid-span of the beams were measured and compared with predictions of a computational model based on finite element analysis. Experimental results demonstrated that hybrid applications of FRP sheets can improve the shear performance of retrofitted RC beams and increase the ultimate strain of the FRP sheets at failure. The results of the computational model were in reasonable agreement with the corresponding experimental results.

Dust dispersion and management in underground mining faces

Presence of fine dust in air causes serious health hazard for mine operators resulting in such serious problems as coal workers’pneumoconiosis and silicosis.Major sources of dust appear of course along the mining face where the minerals are extracted.Proper control and management are required to ensure safe working environment in the mine.Here,we utilize the computational fluid dynamic(CFD)approach to evaluate various methods used for mitigating dust dispersion from the mining face and for ensuring safe level of dust concentration in the mine tunnel for safety of the operators.The methods used include:application of blowing and exhaust fans,application of brattice and combination of both.The results suggest that among the examined methods,implementation of appropriately located brattice to direct the flow from the main shaft to the mining face is the most effective method to direct dust particles away from the mining face.

Application of an Analytical Method to Locate a Mixing Plane in a Supersonic Compressor

In order to achieve greater pressure ratios, compressor designers have the opportunity to use transonic configurations. In the supersonic part of the incoming flow, shock waves appear in the front part of the blades and propagate in the upstream direction. In case of multiple blade rows, steady simulations have to impose an azimuthal averaging （mixing plane） which prevents these shock waves to extend upstream. In the present paper, several mixing plane locations are numerically tested and compared in a supersonic configuration. An analytical method is used to describe the shock pattern. It enables to take a critical look at the CFD （computational fluid dynamics） steady results. Based on this method, the shock losses are also evaluated. The good agreement between analytical and numerical values shows that this method can be useful to wisely forecast the mixing plane location and to evaluate the shift in performances due to the presence of the mixing plane.

New ab initio Potential Energy Surfaces for Cl（^2P3/2,^2P1/2）＋H2 Reaction

New global three dimensional potential energy surfaces for the Cl＋H2 reactive system have been constructed using accurate multireference configuration interaction calculations with a large basis set. The three lowest adiabatic potential energy surfaces correlating asymptotically with Cl（^2p）＋H2 have been transformed to adiabatic representation, which leads to a fourth coupling potential for non-linear geometries. In addition, the spin-orbit coupling surfaces have also been computed using the Breit-Pauli Hamiltonian. Properties of the new potential are described. Reaction dynamics based on the new potential agrees with the recent experimental results quite well.

Computational methods and engineering applications of static/dynamic aeroelasticity based on CFD/CSD coupling solution

The CFD/CSD coupling method is turning into the main research direction for the static/dynamic aeroelastic analyses. If one wants to use the method for the complex engineering aeroelastic problems, he needs to investigate the relative aeroelasfic algorithms, such as the numerical computational method of unsteady aerodynamic forces, equivalent low-dimensional structural fi- nite element model and the solution method of structural dynamic equations, data transfer technique between fluid and structure, the moving grid method, etc. Besides, he also needs to improve the computational efficiency by such as massive parallel CFD algorithm, reduced-order model （ROM） of unsteady aerodynamic forces, etc. In this paper, based on the authors＇ recent investigations, the research progresses in computational aeroelastic methods and their applications to engineering problem are summarized.

Wind Turbine Gearbox Reliability Analysis Based on the System Level Stress-Strength Model

In order to estimate the reliability of wind turbine gearbox based on the system level, a generalized stress-strength model is introduced. Considering that the system works properly under a variety of random stresses which affect every component, the total stress on the system is given by a known linear combination of the stresses of all components. Then the strength of the system can be viewed as a linear combination of the strengths of relative components. In this model, stress and strength are independent of each other. Reliability of the system is the probability that strength exceeds stress. Finally, the reliability of wind turbine gearbox is estimated by the multivariable reliability calculation method. The corresponding result is compared with the results of reliability in the extreme cases(completely dependent and completely independent) by the traditional evaluation method.