In the last decade the processing of polygonal meshes has emerged as an active and very productive research area. This can basically be attributed to two developments: Modern geometry acquisition devices, like laser scanners and MRT, easily produce Raw polygonal meshes of ever growing complexity Downstream applications like analysis tools (medical imaging), computer aided manufacturing, or numerical simulations all require high quality polygonal meshes as input. The need to bridge the gap between Raw triangle soup data and high-quality polygon meshes has driven the research on ecient data structures and algorithms that directly operate on polygonal meshes rather than on a (most often not feasible) intermediate CAD representation.
标签： processing productive the polygonal
上传时间： 2017-06-03
上传用户：TF2015
This program implements a PIC-based fuzzy inference engine for the Fudge fuzzy development system from Motorola. It works by taking the output from Fudge for the 68HC11 processor, and converting it to a MPASM compatible assembler file using the convert batch file. This file can then be incorporated with fuzzy.asm to create a fuzzy inference engine. Tool chain ---------- FUDGE -> Fuzzy Rules -> MC68HC11.ASM -> CONVERT.BAT -> RULES.ASM -> MPASM FUZZY.ASM -> INTEL HEX Fuzzy input registers --------------------- current_ins 1..8 x 8-bit Raw inputs Fuzzy inference function ------------------------ FuzzyEngine Fuzzy output registers ---------------------- cog_outs 1..8 x 8-bit Raw outputs
标签： fuzzy development implements PIC-based
上传时间： 2014-01-18
上传用户：caozhizhi
I used MFC. that code is not perfect and have some problem. But its function is Ok. You just fix and use array of display buffer. That is about How to play Raw graphic file. rotate, mirr, plus, divide ... etc
标签： function perfect problem used
上传时间： 2017-07-30
上传用户：皇族传媒
Features a unique program to estimate the power spectral density. The spectrum containing all significant details is calculated from a time series model. Model type as well as model order are determined automatically from the data, using statistical criteria. Robust estimation algorithms and order selection criteria are used to obtain reliable results. Unlike in FFT analysis, where the experimenter has to set the amount of smoothing of the Raw FFT, the right level of detail is assessed using the data only.
标签： containing Features estimate spectral
上传时间： 2014-02-09
上传用户：daguda
The package can read ICM30630 Raw datas by SPI interface.
上传时间： 2016-08-24
上传用户：zhanglcss
lwip协议栈源码及http Raw应用代码
标签： lwip协议栈及demo
上传时间： 2017-11-16
上传用户：lzp7080
The author of this textbook intends to consider all stages of the life cycle of the energy resources: extraction of mineral energy resources and mastering for power engineering renewable energy, transportation of mineral energy Raw materials to the place of consumption, the conversion of primary energy sources into electrical and/or thermal energy, transportation and distribution among the customers, and energy storage (if necessary).
标签： Engineering Electrical Current Power State
上传时间： 2020-06-07
上传用户：shancjb
Although state of the art in many typical machine learning tasks, deep learning algorithmsareverycostly interms ofenergyconsumption,duetotheirlargeamount of required computations and huge model sizes. Because of this, deep learning applications on battery-constrained wearables have only been possible through wireless connections with a resourceful cloud. This setup has several dRawbacks. First, there are privacy concerns. Cloud computing requires users to share their Raw data—images, video, locations, speech—with a remote system. Most users are not willing to do this. Second, the cloud-setup requires users to be connected all the time, which is unfeasible given current cellular coverage. Furthermore, real-time applications require low latency connections, which cannot be guaranteed using the current communication infrastructure. Finally, wireless connections are very inefficient—requiringtoo much energyper transferredbit for real-time data transfer on energy-constrained platforms.
标签： Embedded_Deep_Learning Algorithms
上传时间： 2020-06-10
上传用户：shancjb
General paradigm in solving a computer vision problem is to represent a Raw image using a more informative vector called feature vector and train a classifier on top of feature vectors collected from training set. From classification perspective, there are several off-the-shelf methods such as gradient boosting, random forest and support vector machines that are able to accurately model nonlinear decision boundaries. Hence, solving a computer vision problem mainly depends on the feature extraction algorithm
标签： Convolutional Networks Neural Guide to
上传时间： 2020-06-10
上传用户：shancjb
1、原始套接字透析之前言大多数程序员所接触到的套接字（Socket）为两类服务应用：（1）流式套接字（SOCK-STREAM）：一种面向连接的Socket，针对于面向连接的TCP（2）数据报式套接字（SOCK-DGRAM）：一种无连接的Socket，对应于无连接的UDP服务应用.从用户的角度来看，SOCK-STREAM，SOCK-DGRAM这两类套接字似乎的确涵盖了TCP/IP应用的全部，因为基于TCPIP的应用，从协议栈的层次上讲，在传输层的确只可能建立于TCP或UDP协议之上（图1），而SOCK STREAM，SOCK DGRAM又分别对应于TCP和UDP，所以几乎所有的应用都可以用这两类套接字实现。但是，当我们面对如下问题时，SOCK_STREAM，SOCK DGRAM将显得这样无助：（1）.怎样发送一个自定义的IP包？（2）怎样发送一个ICMP协议包？（3）怎样使本机进入杂糅模式，从而能够进行网络sniffer？（4）怎样分析所有经过网络的包，而不管这样包是否是发给自己的？（5）怎样伪装本地的IP地址？这使得我们必须面对另外一个深刻的主题--原始套字（Raw Socket），Raw Socket广泛应用于高级网络编程，也是一种广泛的黑客手段。著名的网络sniffer、拒绝服务攻击（DOS），IP欺骗等都可以以Raw Socket实现。Raw Socket与标准套接字（SOCK STREAM，SOCK DGRAM）的区别在于前者直接置"根"于操作系统网络核心（Network Core），而SOCK STREAM.SOCK DGRAM则"悬浮“于TCP和UDP协议的外围，如图2所示：
上传时间： 2022-06-19
上传用户：得之我幸78
