In this paper, we present Dijkstra-WSA, a novel graph-based algorithm for word sense alignment. We evaluate it on four different pairs of lexical-semantic resources with different characteristics (WordNet-OmegaWiki, WordNet-Wiktionary, GermaNet-Wiktionary and WordNet-Wikipedia) and show that it achieves competitive performance on 3 out of 4 datasets. Dijkstra-WSA outperforms the state of the ar...

The shortest path question is in a graph theory model question, and it is applied in many fields. The most short-path question may divide into two kinds: Single sources most short-path, all apexes to most short-path. This article mainly introduces the problem of all apexes to most short-path, and gives a new parallel algorithm of all apexes to most short-path according to the Dijkstra algorithm...

Low-cost robots are characterized by low computational resources and limited energy supply. Path planning algorithms aim to find the optimal path between two points so the robot consumes as little energy as possible. However, these algorithms were not developed considering computational limitations (i.e., processing and memory capacity). This paper presents the HCTNav path-planning algorithm (H...

Many researchers have been attracted on the new research area i.e. flying adhoc network ( FANET) after the lot of research done on the mobile adhoc network(MANET). MANET and VANET cannot tackle all the situations so it can be done by the new introduced concept FANET. FANET is the adhoc network which is formed by the multi UAVs instead of using one large UAV. Due to rapid topology change and hig...

We give a distributed algorithm to compute shortest paths in a network with changing topology. It does not suffer from the routing table looping behavior associated with the Ford-Bellman tdistributed shortest path algorithm although it uses truly distributed processing. Its time and message complexities are evaluated. Pierre Humblet is with the Laboratory for Information and Decision Systems, M...

In this paper, we investigate the performance of Thorup’s algorithm by comparing it to Dijkstra’s algorithm for large-scale network simulations. One of the challenges toward the realization of large-scale network simulations is the efficient execution to find shortest paths in a graph with N vertices and M edges. The time complexity for solving a single-source shortest path (SSSP) problem with ...