响应网:一呼如何百应

让消费者体验“一对多”的尊崇感，这种创新的商业模式似乎很有前景，但在C2B领域践行乃至领军，尚有些困难。

基于大数据分析的配网抢修响应优化研究

随着大数据分析技术的发展和应用,基于大数据分析的配网抢修响应优化研究逐渐成为学术界和工业界关注的热点。通过调研现有的相关研究,并结合实际应用需求,提出一种基于大数据分析的配网抢修响应优化方法,并进行了算法设计与实验验证,通过对大量的配电设备运行数据和抢修数据进行分析挖掘,实现了对抢修响应过程的优化,提高了抢修响应速度和效果,还对大数据分析在配网抢修响应优化中的潜在应用进行了探讨,并对今后的研究方向进行了展望。

浅谈网元响应时延在组建通信网络中的作用

随着用户越来越多的需求,通信技术日新月异,新技术新业务的不断推出,导致通信网络结构日益复杂化,为了满足市场竞争和争夺用户,各大运营商所构建的网络越来越复杂,除了基础的核心网络外,业务平台纷纷创建,一个普通的呼叫,随着用户套餐不同,需要经过很多网元设备才能完成。而用户感知越来越受到运营商的重视,其中语音呼叫接续时延成为呼叫处理过程中的一个重要方面,直接影响着用户感知,也是决定一个运营商服务质量的重要指标之一。文章根据处理语音呼叫故障的典型案例进行总结,结合呼叫路由对呼叫接续时延进行分析,阐述影响呼叫接续时延的几个方面,对通信交换专业完成数据配置,通信产品生产商技术人员设置通信产品的时延长度,具有一定现实意义。

响应式Web前端缓存协作任务分发控制仿真

合理的分发协作任务是处理响应式Web前端缓存协作数据的基础,采用当前方法分发响应式Web前端缓存协作任务时,存在网络能耗高和目标检测率低的问题。将粒子群算法应用到响应式Web前端缓存协作任务的分发控制中,提出响应式Web前端缓存协作任务分发控制方法,通过响应式Web前端缓存协作任务的处理时间、访问时间和传输时间,获得执行时间的评价指标,根据响应式Web前端缓存协作任务的访问能耗、处理能耗和传输能耗得到网络能耗评价指标,结合网络能耗评价指标和执行时间评价指标构建响应式Web前端缓存协作任务分发控制模型,利用粒子群算法对响应式Web前端缓存协作任务分发控制模型进行求解,通过多次迭代获得最优的任务分发控制策略,完成响应式Web前端缓存协作任务的分发控制。仿真结果表明,所提方法的网络能耗低、目标检测率高。

Analysis of response time probability distribution of workflows

An evaluation approach for the response time probability distribution of workflows based on the fluid stochastic Petri net formalism is presented. Firstly, some problems about stochastic workflow net modeling are discussed. Then how to convert a stochastic workflow net model into a fluid stochastic Petri net model is described. The response time distribution can be obtained directly upon the transient state solution of the fluid stochastic Petri net model. In the proposed approach, there are not any restrictions on the structure of workflow models, and the processing times of workflow tasks can be modeled by using arbitrary probability distributions. Large workflow models can be efficiently tackled by recursively using a net reduction technique.

Review:DNA-damage response network at the crossroads of cell-cycle checkpoints, cellular senescence and apoptosis

Tissue homeostasis requires a carefully-orchestrated balance between cell proliferation, cellular senescence and cell death. Cells proliferate through a cell cycle that is tightly regulated by cyclin-dependent kinase activities. Cellular senescence is a safeguard program limiting the proliferative competence of cells in living organisms. Apoptosis eliminates unwanted cells by the coordinated activity of gene products that regulate and effect cell death. The intimate link between the cell cycle, cellular senes- cence, apoptosis regulation, cancer development and tumor responses to cancer treatment has become eminently apparent. Extensive research on tumor suppressor genes, oncogenes, the cell cycle and apoptosis regulatory genes has revealed how the DNA damage-sensing and -signaling pathways, referred to as the DNA-damage response network, are tied to cell proliferation, cell-cycle arrest, cellular senescence and apoptosis. DNA-damage responses are complex, involving “sensor” proteins that sense the damage, and transmit signals to “transducer” proteins, which, in turn, convey the signals to numerous “effector” proteins implicated in specific cellular pathways, including DNA repair mechanisms, cell-cycle checkpoints, cellular senescence and apoptosis. The Bcl-2 family of proteins stands among the most crucial regulators of apoptosis and performs vital functions in deciding whether a cell will live or die after cancer chemotherapy and irradiation. In addition, several studies have now revealed that members of the Bcl-2 family also interface with the cell cycle, DNA repair/recombination and cellular senescence, effects that are generally distinct from their function in apoptosis. In this review, we report progress in understanding the molecular networks that regulate cell-cycle checkpoints, cellular senescence and apoptosis after DNA damage, and discuss the influence of some Bcl-2 family members on cell-cycle checkpoint regulation.

新媒体时代的应急响应模式变革

以互联网和移动通讯设备为核心的新媒体,改变了传统应急响应信息传播模式,形成新的应急响应单元。伴随这一新变化,传统应急响应体系建设在管理意识、信息渠道建设、信息沟通模式等方面面临根本性变革。新媒体时代应急响应体系的核心机理和发展方向是"在线社区响应网",将公众在线应急响应网络纳入应急响应体系,从而建立起以政府为主导、以公众应急信息平台为支持,实现公众和专业应急机构的有效沟通、信息共享、协调联动的新机制,这是未来应急体系建设的必然方向。

Regression-Based Artificial Neural Network Methodology in Response Surface Methodology

Response surface methodology (RSM) is an important tool for process parameter optimization, robust design and other quality improvement efforts. When the relationship between influential input variables and output response is very complex, it’s hard to find the real response surface using RSM. In recent years artificial neural network(ANN) has been used in RSM. But the classical ANN does not work well under the constraints of real applications. An algorithm of regression-based ANN(R-ANN) is proposed in this paper, which is a supplement to the classical ANN methodology. It makes network closer to the response surface, so that training time is reduced and robustness is strengthened. The procedure of improving ANN by regressions is described and the comparisons among R-ANN,RSM and classical ANN are computed graphically in three examples. Our research shows that the R-ANN methodology is a good supplement to the RSM and classical ANN methodology, which can yield lower standard error of prediction under conditions that the scope of experiment is rigidly restricted.

Building of cognizing semantic map in large-scale semi-unknown environment

The quick response code based artificial labels are applied to provide semantic concepts and relations of surroundings that permit the understanding of complexity and limitations of semantic recognition and scene only with robot's vision.By imitating spatial cognizing mechanism of human,the robot constantly received the information of artificial labels at cognitive-guide points in a wide range of structured environment to achieve the perception of the environment and robot navigation.The immune network algorithm was used to form the environmental awareness mechanism with "distributed representation".The color recognition and SIFT feature matching algorithm were fused to achieve the memory and cognition of scenario tag.Then the cognition-guide-action based cognizing semantic map was built.Along with the continuously abundant map,the robot did no longer need to rely on the artificial label,and it could plan path and navigate freely.Experimental results show that the artificial label designed in this work can improve the cognitive ability of the robot,navigate the robot in the case of semi-unknown environment,and build the cognizing semantic map favorably.

Optimization of press bend forming path of aircraft integral panel

In order to design the press bend forming path of aircraft integral panels,a novel optimization method was proposed, which integrates FEM equivalent model based on previous study,the artificial neural network response surface,and the genetic algorithm.First,a multi-step press bend forming FEM equivalent model was established,with which the FEM experiments designed with Taguchi method were performed.Then,the BP neural network response surface was developed with the sample data from the FEM experiments.Furthermore,genetic algorithm was applied with the neural network response surface as the objective function. Finally,verification was carried out on a simple curvature grid-type stiffened panel.The forming error of the panel formed with the optimal path is only 0.098 39 and the calculating efficiency has been improved by 77%.Therefore,this novel optimization method is quite efficient and indispensable for the press bend forming path designing.

Four optimal design approaches of high-order finite-impulse response filters based on neural network

Four optimal approaches of high-order finite-impulse response(FIR) digital filters were developed for designing four types filters using neural network algorithms. The solutions were presented as parallel algorithms to approximate the desired frequency response specification. Therefore, these methods avoid matrix inversion, and make a fast calculation of the filter’s coefficients possible. The convergence theorems of these proposed algorithms were presented and proved to illustrate them stable, and the implementation of these methods was described together with some design guidelines. The simulation results show that the ripples of the designed FIR filters are significantly little in the pass-band and stop-band, and the proposed algorithms are of fast convergence.

Discretization Approach in Integrated Hydrologic Model for Surface and Groundwater Interaction

The commonly used discretization approaches for distributed hydrological models can be broadly categorized into four types,based on the nature of the discrete components:Regular Mesh,Triangular Irregular Networks(TINs),Representative Elementary Watershed(REWs) and Hydrologic Response Units(HRUs).In this paper,a new discretization approach for landforms that have similar hydrologic properties is developed and discussed here for the Integrated Hydrologic Model(IHM),a combining simulation of surface and groundwater processes,accounting for the interaction between the systems.The approach used in the IHM is to disaggregate basin parameters into discrete landforms that have similar hydrologic properties.These landforms may be impervious areas,related areas,areas with high or low clay or organic fractions,areas with significantly different depths-to-water-table,and areas with different types of land cover or different land uses.Incorporating discrete landforms within basins allows significant distributed parameter analysis,but requires an efficient computational structure.The IHM integration represents a new approach interpreting fluxes across the model interface and storages near the interface for transfer to the appropriate model component,accounting for the disparate discretization while rigidly maintaining mass conservation.The discretization approaches employed in IHM will provide some ideas and insights which are helpful to those researchers who have been working on the integrated models for surface-groundwater interaction.

Utilization of DFIG on an Islanded Power Generation and Distribution System

The utilization of wind generation equipment, such as DFIGs （double fed induction generators）, interconnected to islanded power generation and distribution systems is investigated in order to determine their effects on the overall system operating characteristics and stability. The use of a stable power station （with high speed machines） will be critical in achieving fast and reliable transient response to network events, in particular, when large transient loads are expected on a continuous basis, i.e., industrial mining and mineral processing equipment. Simulation results of this paper assist in understanding how small power stations and wind generation equipment respond to large transients in an islanded network. In particular, detailed simulations and analyses will be presented on impacts of distributed wind generation units （1.5 MW DF1G） on the stability of a small weak network. The novelty of this paper is on detailed analyses and simulation of weak networks with interconnects DFIG＇s including their impacts on system stability under various transient operating conditions.

PREDICTING SEISMIC RESPONSE OF STRUCTURES BY ARTIFICIAL NEURAL NETWORKS

This paper introduces a new way of system identification of dynamic based on artificial neural networks (ANN) and explains concretely how to predict seismic response of structures by ANN in a practical example. This paper identifies the structural model of a shear system by the feed forward network of the BP (back propagation) algorithm. First of all, the BP network described in this paper has been trained by practical seismic waves and the corresponding imitated seismic response. Then the seismic response of structures under other seismic excitation will be predicted by BP network of ANN that had been trained. The new ANN can identify the dynamical character and predict dynamical response of structures exactly. This paper also discusses the effects of network topology and input layer elements on the network learning and prediction, etc.

On Effective Virtual Networks Interconnection

The network services today require extremely agile and mobile, however, the traditional IP infrastructures are so rigid that cannot fit services well. A way should be put forward to automate the network to improve responsiveness to change. SDN and network virtualization(NV) are two hottest approaches to make networking more automated and scalable to support virtualized and cloud environments. Network virtualization combines hardware and software network resources and network functionality into a single virtual network. SDN is created to simplify traffic management and achieve operational efficiencies by establish and exercising central control over packet forwarding. In this paper, we focus on the situation where SDN controller needs to connect two virtual networks temporarily. We put forward three algorithms to try to make this connection more effective and evaluate these three algorithms.

TRANSIENT ANALYSIS OF NONUNIFORM TRANSMISSION LINES WITH NONLINEAR TERMINAL NETWORKS

A semi-analytical method in time domain is presented for analysis of the transient response of nonuniform transmission lines. In this method, the telegraph equations in time domain is differenced in space domain first, and is transformed into a set of first-order differential equations of voltage and current with respect to time. By integrating these differential equations with respect to time, and precise computation, the solution of these differential equations can be obtained. This method can solve the transient response of various kinds of transmission lines with arbitrary terminal networks. Particularly, it can analyze the nonuniform lines with initial conditions, for which there is no existing effective method to analyze the time response so far. The results obtained with this method are stable and accurate. Two examples are given to illustrate the application of this method.

The Internet and its Psychological and Social Effects on the UAEs Youth

The subject of this research concentrate on indicating psychological and social effects for the Internet on students in Sharjah University/Communication College/in other words the researcher try to know students opinion and impressions regarding the use of Internet and effect of the same, as well as opinion of positive and negative benefits regarding Internet, especially for the university＇s students who use Internet repeatedly in their daily routine. This stage marked by facts and characteristics based on search for information, explore the students world, and their expectations for that science. This study is the first in its kind in United Arab Emirates that try to shed light on the social and psychological effects of the lnternet, therefore we pave the way in front of those who administer lnternet and indicate to them guidelines for that to allow decisions maker to be aware about the world around university＇s student, the world that enjoy less interest for use of Internet at university, and what is the social and psychological effects of the use of Internet. And the study allow providing information and data that several sectors in society need. It draws clear image for the use of Internet at university by the student and whatever social and psychological effects that happened as a result of that use, so it consider as a survey for whom desire to know such information in United Arab Emirates.

Event-Oriented Dynamic Security Service for Demand Response in Smart Grid Employing Mobile Networks

Equipped with millions of sensors and smart meters in smart gird,a reliable and resilient wireless communication technology is badly needed.Mobile networks are among the major energy communication networks which contribute to global energy consumption increase rapidly.As one of core technologies of smart grid employing mobile networks,Demand Response(DR) helps improving efficiency,reliability and security for electric power grid infrastructure.Security of DR events is one of the most important issues in DR.However,the security requirements of different DR events are dynamic for variousactual demands.To address this,an event-oriented dynamic security service mechanism is proposed for DR.Three kinds of security services including security access service,security communication service and security analysis service for DR event are composited dynamically by the fine-grained sub services.An experiment prototype of the network of State Grid Corporation of China(SGCC) is established.Experiment and evaluations shows the feasibility and effectiveness of the proposed scheme in smart grid employing mobile network.

Fault Current Limiters and Impacts on the System Protection Behavior

A deregulated power market is making short-circuit currents likely to exceed the thermal or mechanical permissible limits of switchgear. Consequently fault current limiters （FCL） become more necessary in power systems. The use of FCLs has an impact on the protection schemes and functions in power systems. Thus, before FCLs can be applied in the network, the impacts on existing protection system must be understood. Depending on the current limiting technique used, today＇s protection concepts may have to be adapted or revised to ensure proper network protection selectivity. A relationship between fault current limiters and protection schemes should be established by taking into account both protection and network specific issues, such as the impact of different FCL technologies, existing and new protection concepts, selectivity and innovative network. This paper is presenting a frame work for accomplishing this task.

“一码通行”在轨道交通场景下的应用研究

随着轨道交通行业数字化转型的深入,二维码技术因其高信息容量和广泛应用性,成为了连接不同业务场景和打破数据壁垒的重要工具。该文通过分析轨道交通场景,设计了1个“一码通行”服务开放平台架构。建议开放平台采用业务松耦合模式,提供包括身份认证、申码验码、密钥管理等服务。同时,针对轨道交通特有的无网或弱网环境以及高峰时段高并发问题,提出了相应的“一码通行”解决方案。这些探索旨在为轨道交通场景提供1个既安全、通用,且具有推广价值的“一码通行”方案和建议。