57 research outputs found

    Considering correlation retarded growth for personalized recommendation in social tagging

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    Due to the massive amounts of data, finding social media suited to their need is a challenging issue. To help such users retrieve useful social media content, we propose a new model of personalized recommendation system by using annotating information from relationship among users, tags, and items. However, the frequency of users’ tagging has strong or weak correlation, which affects the dynamic interest mining of users. In this paper, CRGI is proposed to describe the correlation between users and tags or tags and items. Our approach has two phases, in the first phase, we describe the correlation between users, items and tags by CRGI and in the second phase, we build a tag-item weight model and a user-tag preference model on the basis of the first phase. Then we utilize the two models to find the suitable items with the highest scores. The experimental results demonstrate that the item recommendation performance is improved in both the accuracy and the diversity, and validate that the proposed personalized approach is effective for improving the social media recommendation

    SDN-controlled and Orchestrated OPSquare DCN Enabling Automatic Network Slicing with Differentiated QoS Provisioning

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    In this work, we propose and experimentally assess the automatic and flexible NSs configurations of optical OPSquare DCN controlled and orchestrated by an extended SDN control plane for multi-tenant applications with differentiated QoS provisioning. Optical Flow Control (OFC) protocol has been developed to prevent packet losses at switch sides caused by packet contentions.Based on the collected resource topology of data plane, the optical network slices can be dynamically provisioned and automatically reconfigured by the SDN control plane. Meanwhile, experimental results validate that the priority assignment of application flows supplies dynamic QoS performance to various slices running applications with specific requirements in terms of packet loss and transmission latency. In addition, the capability of exposing traffic statistics information of data plane to SDN control plane enables the implementation of load balancing algorithms further improving the network performance with high QoS. No packet loss and less than 4.8 us server-to-server latency can be guaranteed for the sliced network with highest priority at a load of 0.5

    Buried depth calculation of the slope of the unstable rock based on natural vibration frequency

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    The instability of the slope of the unstable rock poses a great threat to the safety of engineering and people’s lives and properties. The buried depth of an unstable rock is a key factor affecting its stability. It is difficult to directly measure the buried depth of the unstable rock. Therefore, it is of vital importance to indirectly and quickly identify the buried depth of the unstable rock. Assuming that the foundation soil is homogeneous and isotropic, the damping ratio is less than 1; it can be found that the deformation is linear elastic deformation within the amplitude range, and the unstable rock vibration model is simplified to a multi-degree-of-freedom vibration model. Through theoretical derivation, the quantitative relationship between the rock mass, foundation reaction force coefficient, rock burial depth, and the natural vibration frequency in the horizontal direction is established. The quantitative relationship was verified to be correct by laboratory tests. From the tests, the relationship is verified and shows that with the increasing buried depth of the unstable rock, its natural vibration frequency increases nonlinearly in the horizontal direction and also acts in a weakening growing trend; the mass of the unstable rock is a monotonically decreasing function of the natural vibration frequency, and it decreases by a one-half square with the increasing mass of the unstable rock. The research results can calculate the buried depth by measuring the vibration frequency of the unstable rock, which provides a new idea and theoretical basis for the stability evaluation of the slope of the unstable rock and the rapid identification and monitoring of the unstable rock

    Dimensionality Reduction in Stochastic Complex Dynamical Networks

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    Complex systems are ubiquitous in nature and engineering, but their analysis and control are hampered by their high dimensionality and the influence of various factors on their dynamics. Dimensionality reduction aims to find a low-dimensional representation of the complex system that preserves its essential features and reveals its underlying mechanisms and long-term dynamics. However, most existing methods for dimensionality reduction assume deterministic systems, while many real-world systems exhibit stochasticity. Here, we develop a general analytical framework for dimensionality reduction of stochastic complex dynamical networks that can map a high-dimensional system with stochastic terms to a low-dimensional effective system with a single effective state variable and few effective parameters. The effective parameters are those that determine the network's dynamical behavior and are associated with specific system states. The effective equation is a low-dimensional representation of the original stochastic complex dynamical network that preserves its essential dynamical features. The framework also allows us to analyze the dynamic behavior and potential convergence of the stochastic complex dynamical network by using the standard deviation of the effective equation.Comment: 11 pages, 2 figure

    Performance assessment of OPSquare data center network with elastic allocation of WDM transceivers

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    Under realistic OPSquare data center traffic model, the impact of the packet loss ratio and sever end-to-end latency of elastic allocation of WDM transmitters at top of rack (ToR) is numerically investigated. Results show that with limited 50 KB buffer, a sever end-to-end latency lower than 2 ÎĽs and packet loss ratio below 10-6 could be guaranteed for different traffic patterns and loads when the WDM transmitters at ToRs are adaptively allocated. An analyses on costs and power consumption indicate that the elastic allocation of WDM transmitters will not cause dramatic fluctuation in power consumption, while cost will increase with more usage of transmitters

    Performance assessment of metro networks based on fast optical add-drop multiplexers under 5G traffic applications

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    We numerically assess the performance of metro networks based on Fast Optical Add-Drop Multiplexers (FOADM) nodes under modelled traffics of multiple 5G applications. Simulation results show a packet loss < 1 E-5 with <400us latency for a network load of 0.5

    Experimental research on the jet-breaking characteristics and hydraulic performance of a novel automatic rotating sprinkler

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    To improve the performance of sprinklers that work under low pressure, a new type of automatic rotating sprinkler equipped with different water dispersion devices was designed and the jet diffusion angle and hydraulic performance of the new and original sprinklers were compared using experimental methods. The results indicate that, when the working pressure is below 200 kPa, the jet diffusion angle of the new sprinkler with the water dispersion device B is the largest. Although the pattern radius of the new sprinkler is slightly lower than that of the original, it is more effective in improving the combined coefficient of uniformity (CU) at lower working pressures. Specifically, when the working pressure was 100 kPa, the new sprinkler with the water dispersion device B, which has a square inner hole with a side length of 6.2 mm, improved the CU by 54.89% on average. Remarkably, the CU of the new sprinkler with water dispersion device B at a working pressure of 100 kPa was 6.65% higher than that of the original sprinkler at a working pressure of 200 kPa. The research results provide valuable insights into the design of sprinklers to improve the performance of low-pressure sprinkler irrigation systems. HIGHLIGHTS A novel automatic rotating sprinkler (NARS) with a water dispersion device has been successfully developed.; The lower the working pressure, the more pronounced the effect of the NARS on improving the overlapped water application uniformity.; The NARS with water dispersion device B ensures that the water application rates within a local area are consistent.

    Flexibility assessment of the reconfigurable OPSquare for virtualized data center networks under realistic traffics

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    Resources allocation of the reconfigurable OPSquare data center to support multi-tenant virtual networks are assessed under realistic traffics. End-to-end latency < 2ÎĽ s and packet loss <10 -4 are guaranteed for different traffic patterns by elastically configuring the WDM transmitters and optical switches

    Precise Time Distribution and Synchronization for Low Latency Slotted Optical Metro-Access Networks

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    Future optical metro access networks will connect heterogeneous access technologies like beyond 5G radio access networks and edge computing interconnections. These access networks and their diversified use cases will impose significant challenges on network capacity, wavelength resource and network synchronization. In this paper, we present and investigate a novel time slotted optical metro access network controlled by a multifunctional supervisory channel for precise time distribution, nodes synchronization, and fast wavelength reusing to improve the overall network performance for low and deterministic latency applications. The supervisory channel carries timestamps of different nodes in different time slots, and the labels with the data channels destinations in every time slot. By analyzing the supervisory channel at each node, the timestamps and add/drop information can be precisely and fast exchanged. A network testbed has been implemented for assessing the proposed network operation and precise time synchronization. The results show successful time slotted network operation, 82% of bandwidth usage and 2.5 s latency have been achieved. Below 12 ns time accuracy has been measured for a metro ring and 5G front haul network with a single time reference. To assess the scalability and wavelength saving of the proposed network in a larger network, a simulation model has been developed in OMNeT++ based on the experimental parameters. Numerical results show more than 16 % wavelengths can be saved by our technology compared with Cloud Burst Optical-Slot Switching (CBOSS)[1]
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