本软件网上已经不好找了，用于查看打开3d数据文件，实现文件的可视化。

Deep Exploration v6.5.0版本，包含cr，包含6.3版本的汉化（汉化不完全）

基于https://github.com/hasauino/rrt_exploration 但考虑到sklearn和Python等速度不是很理想，重写了function，assigner，filter和opencv_detector 效率上快了很多，尤其是DIY的meanshift，一百多个点的话Python要跑好几秒，C++基本毫秒时间 版本UBUNTU16.04LTS ROS_KINETIC

论文的完整名字A novel enhanced exploration firefly algorithm for global continuous optimization problems。2020年8月pdf版。

这个插件的最新版本，建议去官网购买。不能用作商业用途，仅供学习和交流使用。

思科网络技术学院教程CCNA_Exploration：接入WAN

思科网络技术学院教程CCNA Exploration-LAN交换和无线

探索和分析 npm 注册表数据。 tl;博士 dat init dat pull # takes a while ./run-pipes.sh 数据经过很好的转换，现在位于data/ 。 virtualenv env source env/bin/activate pip install -r requirements.txt ipython notebook 享受。 dat 用于同步数据 dat pull需要一段时间：它会从 npm.dathub.org 中提取所有（表格）npm 注册表数据。 dat init dat pull （如果您不想在本地安装 dat，请运行node_modules/.bin中的node_modules/.bin 。） 垫片是用来改造它的。 原始注册表数据对于我们要运行的分析来说有点多； 我们将使用通过一些转换来输送它。 添加新的很容易，并且通过将它

解压密码：123 安装说明：https://blog.csdn.net/hongfu951/article/details/118517942 Tonepusher - German Industrial vol. 1 Presets for Serum是一个完整的音频处理包，为用户提供一个独特的和前卫的风格库，灵感来自一些流行的艺术家，如KMFDM, Rammstein, Comboichirish等。 图书馆提供了大量的藏书，为用户提供不同的背景，从电力噪音，沉重的工业哥特式，工业技术，以及更多。 界面是简单和直观的，它还包括创建一个惊人的和直观的原声所需的最佳声音

"Network-on-Chip Architectures: A Holistic Design Exploration" by Chrysostomos Nicopoulos Publisher: Springer | ISBN: 9048130301 | 2009 | PDF | 223 pages | 9 Mb The continuing reduction of feature sizes into the nanoscale regime has led to dramatic increases in transistor densities. Integration at these levels has highlighted the criticality of the on-chip interconnects. Network-on-Chip (NoC) architectures are viewed as a possible solution to burgeoning global wiring delays in many-core chips, and have recently crystallized into a significant research domain. On-chip networks instill a new flavor to communication research due to their inherently resource-constrained nature. Despite the lightweight character demanded of the NoC components, modern designs require ultra-low communication latencies in order to cope with inflating data bandwidths. The work presented in Network-on-Chip Architectures addresses these issues through a comprehensive exploration of the design space. The design aspects of the NoC are viewed through a penta-faceted prism encompassing five major issues: (1) performance, (2) silicon area consumption, (3) power/energy efficiency, (4) reliability, and (5) variability. These five aspects serve as the fundamental design drivers and critical evaluation metrics in the quest for efficient NoC implementations. The research exploration employs a two-pronged approach: (a) MICRO-architectural innovations within the major NoC components, and (b) MACRO-architectural choices aiming to seamlessly merge the interconnection backbone with the remaining system modules. These two research threads and the aforementioned five key metrics mount a holistic and in-depth attack on most issues surrounding the design of NoCs in multi-core architectures.