Search Results for "problem a"

...With Envoy, visualizing problem areas becomes a lot easier thanks to consistent observability. It also helps with overall performance tuning, and easily adding substrate features in one place.

...Table computes the duration or distances of the fastest route between all pairs of supplied coordinates. Match snaps noisy GPS traces to the road network in the most plausible way. Trip solves the Traveling Salesman Problem using a greedy heuristic. Tile generates Mapbox Vector Tiles with internal routing metadata. To quickly try OSRM use our demo server which comes with both the backend and a frontend on top. The easiest and quickest way to setup your own routing engine is to use Docker images we provide. We base our Docker images (backend, frontend) on Debian and make sure they are as lightweight as possible.

To diagnose a problem or simply to study the internal flow of information in an ethercat fieldbus, one of the common practices is to capture the flow of ethercat datagrams with an ethernet sniffer such as Wireshark (www.wireshark.org). Wireshark provides some filters to facilitate data analysis but the high amount of recorded information still makes an analysis complicated for many people who do not have a very deep knowledge of the ethercat protocol and Wireshark tools.

The shortest path problem is solved by many methods. Heuristics offer lower complexity in expense of accuracy. There are many use cases where the lower accuracy is acceptable in return of lower consumption of computing resources. The basic idea of the Ant System is that virtual ants are exploited for finding paths with a specific property, e.g., short distance between physical nodes, in the same way nature guides physical ants.

The shortest path problem is solved by many methods. Heuristics offer lower complexity in expense of accuracy. There are many use cases where the lower accuracy is acceptable in return of lower consumption of computing resources. The basic idea of Particle Swarm Optimization is the emulation of the social behaviour of, e.g., a flock of birds, as a stochastic optimisation method.

The shortest path problem is solved by many methods. Heuristics offer lower complexity in expense of accuracy. There are many use cases where the lower accuracy is acceptable in return of lower consumption of computing resources. Learning Automata (LA) are adaptive mechanisms requiring feedback from the executing environment to converge to certain states.

The toolkit glpk supports methods for mixed integer linear programming (MILP). These methods solve Capital Budgeting Problems (CBP). Unfortunately, glpk does not support any multithreading and there is no feature to distribute problems via network connections. Today, this is a pitiable sight, because modern computer systems are coupled by networks and support multi threading. We create a distributed system with Apache thrift and the C-API of glpk. Now, it is possible to use as many cores in...

By emulating widespread vulnerabilities the honeypot Nepenthes is able to catch and store viruses worms using these vulnerabilities. The api interface to add new vulnerability modules is easy to use, so there is no problem in writing new ones.

It moves by itself inside networks like virus infection & plagues, it is being written to solve computer virus problem drastically and responsibly. It is legal, free and open for public domain to improve W3 ICT Security.