Scientific documents are replete with measurements mentioned in various formats and styles. As such, in a document with multiple quantities and measured entities, the task of associating each quantity to its corresponding measured entity is challengi
ng. Thus, it is necessary to have a method to efficiently extract all measurements and attributes related to them. To this end, in this paper, we propose a novel model for the task of measurement relation extraction (MRE) whose goal is to recognize the relation between measured entities, quantities, and conditions mentioned in a document. Our model employs a deep translation-based architecture to dynamically induce the important words in the document to classify the relation between a pair of entities. Furthermore, we introduce a novel regularization technique based on Information Bottleneck (IB) to filter out the noisy information from the induced set of important words. Our experiments on the recent SemEval 2021 Task 8 datasets reveal the effectiveness of the proposed model.
This research provides a solution of Vertex disjoint path problem within the flow networks, showing how to calculate the maximum flow across the network and a comparison between several algorithms to find a path between the source and the sink.
full code here:
https://github.com/AliIbrahim996/Vertex-disjoint-path-problem
In this article, we used the generalized Hamilton-Jacoby equation to study the
relative motion of the electron in the arbitrary electromagnetic field, depending on
the action function(the principle of the least action), taking into account the
rel
ationship between the Hamilton and Lagrange functions(H P v L ), starting
with the equations of energy and motion for electron in the theory of special
relativity, where the Lagrangian were chosen so that the principle of variation is
equal to zero, thus the Lagrange equation was verified. The first and second sets of
Hamilton's equations were obtained and then Hamilton's conservation law, ie
electron energy. Study of some applications of the Hamilton-Jacoby equation on the
free motion of the particle, circular motion and the adiabatic transformations was
discussed. Kepler problem of the hydrogen atom was then discussed in relativistic
theory. The equation of the motion path of the electron was calculated and the
energy of the vibration and the frequency of the vibration were calculated.
Motion Planning is an important and potential issue in Robotics, because it gives the
robot the ability to reach its target automatically with collision free, which increase the
robot performance and reduce its operational cost. The robot motion pl
anning is commonly
divide into two approaches: finding the appropriate path and making the robot tracking this
path until it reaches its goal.
This research depends on one of the most common obstacles avoidance path
planningtechniques (Bug algorithms) to find global path of robot. And make the Boe-Bot
robot (differential drive robot) tracking the paths generated by these algorithms in a certain
environment.
This study was carried out at Kharabu Station, General Commission for Scientific
Agricultural Research (GCSAR), during the growing seasons 2011 and 2012, to
estimate phenotypic correlation, and path coefficient of some morphological and
green fodd
er yield components (days to flowering, plant height (cm), number
of leaves per plant, number of tillers per plant, and green fodder yield (ton/ha)).
Fifteen pearl millet crosses resulted from half diallel mating system between six
inbred lines. The experiment was arranged in a randomized complete block design
(RCBD), with three replications.
Let be a graph of order n. with vertices and edges .
A set D of vertices of a graph is called 2- dominating if every vertex has at least two neighbors in D. let denotes The 2- domination number of a graph G, , is the order of a smallest 2- dominatin
g set of G. In this paper, we found lower and upper bounds of 2- domination number of the cartesian product of two paths for m=6,7 and arbitrary n.
In this research, an experimental study was undertaken on
aluminium using a purpose designed and manufactured
burnishing tool. The experiments was designed to find the effects
of burnishing tool path and ball diameter on the surface
roughness of
an Al-6061 workpiece taking into consideration
many values of burnishing force in the suitable field, where we
have used a new created path and compared its effect with two
conventional paths (zig-zag) and (spiral).
Twenty seven experiments were carried out on samples of Al-
6061, using the full factorial design method with three
parameters: ball diameter, ball path and force, with three levels of
each parameter.
This study was carried out at the Scientific Agriculture Research Center, Al-Ghab,
Syria, during 2013 –2014 growing seasons to estimate heterosis, combining ability,
phenotypic correlation and path analysis for plant and ear height, ear length, ear
diameter,
number of rows per ear, number of kernels per row, 100 kernel weight and grain yield per
plant for eighteen hybrids produced by the line × tester method, the major findings were:
inbred lines, testers, hybrids and combining ability mean squares were significant for all
traits, indicating that additive and non-additive gene actions were the important in
inheritance of all traits. The ratios of σ2
GCA/σ2
SCA showed that non-additive gene action was
more important in controlling all traits except of number of kernel per row. Heterosis
percentage for all traits were significant compared with the check variety except of ear
height trait. GCA effects showed that the lines P1 and P7 were good combiners for grain
yield per plant, also, SCA effects showed that P2×P8, P5×P8, P4×P9 and P1×P7 crosses were
the best F1 combiners for grain yield per plant. Results of phenotypic correlation and path
analysis values showed that ear length, ear diameter and number of kernel per row were
positively and significantly associated with grain yield per plant, also, these traits can be
considered as selection criteria may lead to the improvement of grain yield in maize.
This paper presents the producing of touristic tour using tourist data and management
the data in GIS environment by using the extension network analyst in ARCGIS to find the
better time routine with time as obstacle. The base map was the tourist m
ap for Tartous
with scale 1:250 000.
DTM and several three dimension data was generated for studying area for helping
people to know nature of the area, by using the topographic map for Tartous with scale
1/250000 . Also, in this research the spatial tourist data base was generated for Tartous
province using GIS which contains data about road, town, ruins sites, services ( like oil
stations, restaurants and hotels and others serve the tourist).
Network analyst was applied on ruins sites in Tartous province to calculate the better
routine from the hotel to supposed several ruins sites.
The integration between tourist data and ArcGIS software with its extension
network analyst can help for obtaining better touristic services by determining the better
touristic tour to visit the desirable touristic sites in short time.
Robot navigation is challenging for building intelligence mobile robots. To find
Proper possible path from starting point to target point, that reduces time and distance,
avoiding collision with obstacles is a current potential research area. Rapid
ly exploring
random trees (RRTs)is considered as one of the fastest methods to find solutions.
Moreover, this algorithm is computationally efficient; therefore, it can be used in
multidimensional environments.
This paper reviews the RRT algorithm, and provides application of path planning to
differential robot in two different workspaces using Virtual Robot Experimentation
Platform) V-REP(simulator. This research clarifies the algorithm’s ability to find suitable
path in relatively short time, and demonstrated the ability of V-rep to model and 3D
simulate of mobile robot’s movement efficiently and smoothly.
