Kismet is an 802.11b network sniffer and network dissector. It is capable of sniffing using most wireless cards, automatic network IP block detection via UDP, ARP, and DHCP packets, Cisco equipment lists via Cisco Discovery Protocol, weak cryptographic packet logging, and Ethereal and tcpdump compatible packet dump files. It also includes the ability to plot detected networks and estimated network ranges on downloaded maps or user supplied image files.
Kismet是一個針對IEEE802.11b無線局域網的嗅探和包分析器，支持大多數無線網卡，支持自動檢測UDP、ARP和DHCP的數據包，支持通過CDP協議檢測思科網絡設備，支持加密數據包記錄，采用與Ethereal和Tcpdump兼容的的數據包記錄文件，支持通過用戶提供地圖來檢測和評估無線網絡范圍。
DSP音頻處理示例The benefits of real-time analysis provided by DSP/BIOS are often required in programs that
were engineered without it. When the program is not built from the ground up using the
DSP/BIOS kernel and real-time analysis features, the lack of familiarity prevents engineers
from reaping the benefits of this very powerful tool set, especially in the final stage of
development when real-time analysis is needed most. This application note provides an
example of the necessary steps required to utilize DSP/BIOS features in order to bring these
solutions to bear in an existing application.
lwIP is a small independent implementation of the TCP/IP protocol
suite that has been developed by Adam Dunkels at the Computer and
Networks Architectures (CNA) lab at the Swedish Institute of Computer
Science (SICS).
Setting and Changing Column Widths
By default, all columns in a table start out with equal width, and the columns automatically fill the entire width of the table. When the table becomes wider or narrower (which might happen when the user resizes the window containing the table), all the column widths change appropriately.
For the incomplete methods, we kept the representation of the queens by a table and the method of calculation to determine if two queens are in conflict, which is much faster for this kind of problems than the representation by a matrix.
heuristics: descent.
Tests: 100 queens in less than 1 second and 67 iterations. 500 queens in 1 second and 257 iterations. 1000 queens in 11 seconds and 492 iterations.
heuristics: Simulated annealing.
Tests: 100 queens in less than 1 second and 47 iterations. 500 queens in 5 seconds and 243 iterations. 1000 queens in 13 seconds and 497 iterations.
heuristics: based on Simulated Annealing.
Tests: 100 queens in less than 1 second and 60 iterations. 500 queens in 1 second and 224 iterations. 1000 queens in 5 seconds and 459 iterations. 10 000 queens in 20 minutes 30 seconds and 4885 iterations.
