Abstract:
Methods and Systems for automatic information extraction by performing self-learning crawling and rule-based data mining is provided. The method determines existence of crawl policy within input information and performs at least one of front-end crawling, assisted crawling and recursive crawling. Downloaded data set is pre-processed to remove noisy data and subjected to classification rules and decision tree based data mining to extract meaningful information. Performing crawling techniques leads to smaller relevant datasets pertaining to a specific domain from multi-dimensional datasets available in online and offline sources.
Abstract:
In order to make use of computational resources available at runtime through fog networked robotics paradigm, it is critical to estimate average performance capacities of deployment hardware that is generally heterogeneous. It is also not feasible to replicate runtime deployment framework, collected sensor data and realistic offloading conditions for robotic environments. In accordance with an embodiment of the present disclosure, computational algorithms are dynamically profiled on a development testbed, combined with benchmarking techniques to estimate compute times over the deployment hardware. Estimation in accordance with the present disclosure is based both on Gustafson's law as well as embedded processor benchmarks. Systems and methods of the present disclosure realistically capture parallel processing, cache capacities and differing processing times across hardware.
Abstract:
A method and system is provided for device-to-device (D2D) offloading in long term evolution (LTE) networks. The present application provides a method and system for device-to-device (D2D) offloading in long term evolution (LTE) networks, comprising processor implemented steps of selecting an offloader by a eNodeB (eNB) for a user device out of a plurality of user devices based on location of the user device and other closed proximity user devices, corresponding load and channel conditions upon receiving the offloading request from the user device; exchanging a control messages between the user device and the eNB; and between the eNB and the offloader; and scheduling of resource blocks (RBs) by the eNB for the user device and the offloader in D2D offloading.
Abstract:
A technique for estimating cache size for cache routers in information centric networks (ICNs) is disclosed. In an example, an average rate of incoming requests and a probability of occurrence of each request at a cache router in a predefined time interval is determined. Further, a relation between cache hit and cache miss with and without replacement is derived based on the probability of occurrence of each request. Furthermore, an entropy of the requests is computed based on the probability of occurrence of each request. Moreover, a diversity index of the requests is calculated based on the entropy and the average rate of the requests. A cache size for the cache router is then estimated based on a user defined probability of cache hit, the average rate of the requests, the diversity index of the requests and the relation between the cache hit and cache miss with and without replacement.
Abstract:
A system and method for enhancing lifetime and throughput in a distributed wireless network is disclosed herein. The method may include sensing, by a first machine, different parameters of at least one neighboring machine; updating, by the first machine, at least one parameter of said first machine based on said sensed parameters of said neighboring machine; generating, by the first machine, a signed-graph on the basis of the updated parameter, wherein said generated graph comprises at least two nodes representing said updated parameter and at least one edge interconnecting said two nodes; iteratively updating, by the first machine, the at least one parameter at different time-scales until convergence is achieved; and communicating, by the first machine, inter-layer updates in individual layers of a transmission protocol stack of the first machine due to said update of at least one parameter.