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  • C # ChatBot 基于AIML

    C # ChatBot 基于AIML C # ChatBot 基于AIML

    标签: ChatBot AIML

    上传时间: 2018-01-20

    上传用户:hcedison

  • 基于FPGA 的数字滤波器设计

    基于FPGA 的数字滤波器设计源代基于FPGA 的数字滤波器设计源代码基于FPGA 的数字滤波器设计源代码

    标签: FPGA 数字 滤波器设计

    上传时间: 2018-03-29

    上传用户:18355095071

  • UTM投影正反转换程序

    UTM投影正反转换程序 本程序是常用地图投影系列小程序之一,程序能用于不同基准面、单点及批量数据的UTM投影正、反转换,UTM与高斯-克吕格投影的相互转换,UTM正投影时的输入经纬度数据可以是度、度分及度分秒格式。

    标签: UTM 投影 转换 程序

    上传时间: 2018-05-15

    上传用户:c258520314

  • ESP8266 Non-OS AT 指令使用示例

    ESP8266 AT指令手册示例,物联网使用广泛,参考此文档可进行快速开发。

    标签: Non-OS 8266 ESP AT 指令

    上传时间: 2018-06-05

    上传用户:dear920

  • JAVA SMPP 源码

    Introduction jSMPP is a java implementation (SMPP API) of the SMPP protocol (currently supports SMPP v3.4). It provides interfaces to communicate with a Message Center or an ESME (External Short Message Entity) and is able to handle traffic of 3000-5000 messages per second. jSMPP is not a high-level library. People looking for a quick way to get started with SMPP may be better of using an abstraction layer such as the Apache Camel SMPP component: http://camel.apache.org/smpp.html Travis-CI status: History The project started on Google Code: http://code.google.com/p/jsmpp/ It was maintained by uudashr on Github until 2013. It is now a community project maintained at http://jsmpp.org Release procedure mvn deploy -DperformRelease=true -Durl=https://oss.sonatype.org/service/local/staging/deploy/maven2/ -DrepositoryId=sonatype-nexus-staging -Dgpg.passphrase=<yourpassphrase> log in here: https://oss.sonatype.org click the 'Staging Repositories' link select the repository and click close select the repository and click release License Copyright (C) 2007-2013, Nuruddin Ashr uudashr@gmail.com Copyright (C) 2012-2013, Denis Kostousov denis.kostousov@gmail.com Copyright (C) 2014, Daniel Pocock http://danielpocock.com Copyright (C) 2016, Pim Moerenhout pim.moerenhout@gmail.com This project is licensed under the Apache Software License 2.0.

    标签: JAVA SMPP 源码

    上传时间: 2019-01-25

    上传用户:dragon_longer

  • 基于多尺度字典的图像超分辨率重建

    Reconstruction- and example-based super-resolution (SR) methods are promising for restoring a high-resolution (HR) image from low-resolution (LR) image(s). Under large magnification, reconstruction-based methods usually fail to hallucinate visual details while example-based methods sometimes introduce unexpected details. Given a generic LR image, to reconstruct a photo-realistic SR image and to suppress artifacts in the reconstructed SR image, we introduce a multi-scale dictionary to a novel SR method that simultaneously integrates local and non-local priors. The local prior suppresses artifacts by using steering kernel regression to predict the target pixel from a small local area. The non-local prior enriches visual details by taking a weighted average of a large neighborhood as an estimate of the target pixel. Essentially, these two priors are complementary to each other. Experimental results demonstrate that the proposed method can produce high quality SR recovery both quantitatively and perceptually.

    标签: Super-resolution Multi-scale Dictionary Single Image for

    上传时间: 2019-03-28

    上传用户:fullout

  • R-SLAM--Resilient localization and mapping

    Accurate pose estimation plays an important role in solution of simultaneous localization and mapping (SLAM) problem, required for many robotic applications. This paper presents a new approach called R-SLAM, primarily to overcome systematic and non-systematic odometry errors which are generally caused by uneven floors, unexpected objects on the floor or wheel-slippage due to skidding or fast turns.The hybrid approach presented here combines the strengths of feature based and grid based methods to produce globally consistent high resolution maps within various types of environments.

    标签: localization environments challenging Resilient mapping R-SLAM and in

    上传时间: 2019-09-15

    上传用户:zhudx2007

  • tensor_n

    atlab code for Non-negative Factorization of the Occurrence Tensor from Financial Contracts https://arxiv.org/pdf/1612.03350.pdf, 

    标签: tensor_n

    上传时间: 2020-01-01

    上传用户:dawn1818

  • tensor_1

    atlab code for Non-negative Factorization of the Occurrence Tensor from Financial Contracts https://arxiv.org/pdf/1612.03350.pdf, which 

    标签: tensor

    上传时间: 2020-01-01

    上传用户:dawn1818

  • Full-Duplex+Small+Cells

    The recent developments in full duplex (FD) commu- nication promise doubling the capacity of cellular networks using self interference cancellation (SIC) techniques. FD small cells with device-to-device (D2D) communication links could achieve the expected capacity of the future cellular networks (5G). In this work, we consider joint scheduling and dynamic power algorithm (DPA) for a single cell FD small cell network with D2D links (D2DLs). We formulate the optimal user selection and power control as a non-linear programming (NLP) optimization problem to get the optimal user scheduling and transmission power in a given TTI. Our numerical results show that using DPA gives better overall throughput performance than full power transmission algorithm (FPA). Also, simultaneous transmissions (combination of uplink (UL), downlink (DL), and D2D occur 80% of the time thereby increasing the spectral efficiency and network capacity

    标签: Full-Duplex Cells Small

    上传时间: 2020-05-27

    上传用户:shancjb