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[AI-NN-PRANN

Description: BP人工神经网络算法,用java代码实现,用scilab图像显示,案例是港口吞吐量的预测-BP artificial neural network algorithm, using java code, using scilab image display, case is the throughput of the port prediction
Platform: | Size: 24576 | Author: jaime | Hits:

[AI-NN-PRANN_bp

Description: bp人工神经网络算法的实现,用java代码编写,案例是港口吞吐量预测-bp artificial neural network algorithm, using java coding, case is the port throughput prediction
Platform: | Size: 24576 | Author: jaime | Hits:

[AI-NN-PRANN_bp1

Description: bp人工神经网络算法实现,用java编写程序代码,应用案例是港口吞吐量预测-bp artificial neural network algorithm, using java programming code, the application case is the throughput of the port prediction
Platform: | Size: 24576 | Author: 林林 | Hits:

[JSP/JavaTomcatMonitor

Description: 自己实现的TOMCAT服务器性能监视器,图形化实时展现tomcat服务器性能数据变化,比如服务器吞吐量,每秒点击数等性能-tomcat monitor, monitor tomcat server throughput, clicks per second
Platform: | Size: 87040 | Author: vivi | Hits:

[JSP/JavaJavaWebGIS

Description: 目前空间数据的传输效率低下已成为制约WebGIS发展的主要瓶颈之一。多线程技术以及多点连接在提高系统吞吐率、有效利用系统资源、改善用户任务之间的通信效率等方面有着显著作用。本文采用地图分层和图面分割的方法以及Java多线程和多点连接技术实现了WebGIS空间数据的高效传输。-Transmission of the current inefficient spatial data has become a major bottleneck restricting the development of WebGIS. Multithreaded technology and multi-point connections to improve system throughput, efficient use of system resources and improve the efficiency of communication between the user and so the task has a significant effect. In this paper, the map layer and the segmentation method and the surface Java multi-threading and multi-point connection technology to achieve the efficient transmission of spatial data WebGIS.
Platform: | Size: 121856 | Author: 王君 | Hits:

[Windows MobileAnyChatCoreSDK_Web_V1.8

Description: 支持中心服务器录像,音视频录像文件服务器集中保存(可选模块); 支持瑞芯微(RockChip)全系列硬件编解码,实现高清视频通话; 优化P2P算法,提升复杂网络环境下音视频体验; 优化服务器对UDP数据包的处理效率,提高流媒体数据的吞吐量; 修正Logout之后,上层还会收到OnLinkClose异步事件的Bug; 增加AnyChat Server SDK for Java示例程序,可用Java开发业务服务器; 新增Android 4.2平台支持,并兼容更多Android设备- Support Center server video, audio and video file servers centrally stored (optional module) Support Rockchip (RockChip) a full range of hardware codec, high definition video calls P2P optimization algorithm, a complex network environment to enhance audio and video experience Optimize server processing efficiency of UDP packets to improve the throughput of streaming data After correction Logout, upper Bug OnLinkClose will receive asynchronous events Increase AnyChat Server SDK for Java sample programs that can be used to develop Java business server New Android 4.2 platform support, and is compatible with more Android devices
Platform: | Size: 8228864 | Author: 林煜宇 | Hits:

[TCP/IP stackSimpleServer

Description: 从Java 1.7 以后NIO可以采用系统底层的Socket来实现了,大大提高了吞吐量。 相比Reactor方式,Nio2可以称为Proactor方式的实现。具体是程序避免等待而采用回调函数类。-From Java 1.7 after NIO Socket can be used to achieve the underlying system, and greatly improving the throughput. Compared to Reactor way, Nio2 may be referred to achieve Proactor mode. Specifically procedures to avoid waiting while using a callback function class.
Platform: | Size: 1024 | Author: jiechuluck | Hits:

[Internet-NetworkAloha

Description: java编程实现Aloha原理,可动态观察网络中数据包的吞吐量。- java programming Aloha principle, can be dynamically observed throughput network packets.
Platform: | Size: 2048 | Author: 虫虫 | Hits:

[JSPJava-Concurrency-in-Practice

Description: Java并发编程实战深入浅出地介绍了Java线程和并发,是一本完美的Java并发参考手册。书中从并发性和线程安全性的基本概念出发,介绍了如何使用类库提供的基本并发构建块,用于避免并发危险、构造线程安全的类及验证线程安全的规则,如何将小的线程安全类组合成更大的线程安全类,如何利用线程来提高并发应用程序的吞吐量,如何识别可并行执行的任务,如何提高单线程子系统的响应性,如何确保并发程序执行预期任务,如何提高并发代码的性能和可伸缩性等内容,最后介绍了一些高级主题,如显式锁、原子变量、非阻塞算法以及如何开发自定义的同步工具类。-Java concurrent programming combat clearly introduced Java threads and concurrency, is a perfect Java with reference manual. The book the basic concept of concurrency and thread safety, introduces how to use basic concurrent class library to provide building blocks, to avoid danger and construct concurrent thread safe classes and verify the thread safety rules, how will the small thread safe classes combined into larger Cheng Anquan line, how to use the thread to improve concurrent application throughput, how to identify the parallel execution of tasks, how to improve the response of the single subsystem, how to ensure the execution of concurrent programs expected tasks, how to improve the performance of concurrent code and scalability etc., finally introduces some advanced topics, such as explicit locks, atomic variables, non blocking algorithm and synchronization how to develop custom tools.
Platform: | Size: 9125888 | Author: | Hits:

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