260 research outputs found
Mining social media text for disaster resource management using a feature selection based on forest optimization
No full textResource management is an essential task that needs to be performed by the government or any disaster management agency during natural disasters. During these critical circumstances, people mostly depend upon a social media platform to share and collect information about the situation of the affected localities. The huge volume of real-time data can be useful in disaster assessment, response, and relief activities. We have presented a system which analyzes tweets during natural disasters and categorizes them according to the availability or need for general or medical resources along with their location information (if any) mentioned in the tweets. Several statistical classifiers are applied to show their usefulness for a better solution. Optimal feature representation is the heart of any machine learning based classification model. Here, we have applied a forest optimization-based wrapper feature selection algorithm to improve the classification accuracy. FIRE, SMERP, and CrisisLex dataset are used to evaluate our system and its effectiveness is demonstrated for smooth management of the resources. From the experimentation, it is found that forest optimization algorithm (FOA) wrapped multinomial naive bayes classifier gives an accuracy of 91.41 percent and f-measure of 88.33 percent on the FIRE dataset. The execution time of the model is quite less which will be very helpful for this challenging task
The lattice of nil-Hecke algebras over real and complex reflection groups
No full textAssociated to every complex reflection group, we construct a lattice of
quotients of its braid monoid-algebra, which we term nil-Hecke algebras, and
which are obtained by killing all braid words that are "sufficiently long", as
well as some integer power of each generator. These include usual nil-Coxeter
algebras, nil-Temperley-Lieb algebras, and their variants, and lead to
symmetric semigroup module categories which necessarily cannot be monoidal.
Motivated by classical work of Coxeter (1957) and the Broue-Malle-Rouquier
freeness conjecture [Crelle 1998], and continuing beyond work of the second
author [Trans. Amer. Math. Soc. 2018], we obtain a complete classification of
the finite-dimensional nil-Hecke algebras for all complex reflection groups
. These comprise the usual nil-Coxeter algebras for of finite type,
their "fully commutative" analogues for of FC-finite type, three
exceptional algebras (of types ), and three exceptional series (of
types and , two of them novel). In particular, we find the first -
and only two - finite-dimensional nil-Hecke algebras over discrete complex
reflection groups; this breaks from the nil-Coxeter case (where no braid words
are further killed, and) where Marin [J. Pure Appl. Alg. 2014] and Khare
[Trans. Amer. Math. Soc. 2018] showed that such algebras do not exist.
In addition to these algebras, and also algebraic connections (to PBW
deformations and non-monoidal tensor categories), we further uncover
combinatorial bases of algebras, both known (fully commutative elements) and
novel (-avoiding signed permutations). Our classification draws from
and brings together results of Popov [Comm. Math. Inst. Utrecht 1982],
Stembridge [J. Alg. Combin. 1996, 1998], Malle [Transform. Groups} 1996],
Postnikov via Gowravaram-Khovanova (2015), Hart [J. Group Th. 2017], and Khare
[Trans. Amer. Math. Soc. 2018].Comment: Added Theorems E and F (complex reflection groups; Frobenius
algebras) in Section 1.2. Added Sections 7 and 8 (their proofs) and Appendix
A with Sage codes. 30 pages, 5 tables, 8 figure
Solitary waves in the nonlinear Dirac equation in the presence of external driving forces
No full textWe consider the nonlinear Dirac (NLD) equation in (1 + 1) dimensions with scalar-scalar self interaction g(2)/k+1 ((psi) over bar psi(k+1) in the presence of external forces as well as damping of the form f (x) - i mu gamma(0)psi, where both f and psi are two-component spinors. We develop an approximate variational approach using collective coordinates (CC) for studying the time dependent response of the solitary waves to these external forces. This approach predicts intrinsic oscillations of the solitary waves, i. e. the amplitude, width and phase all oscillate with the same frequency. The translational motion is also affected, because the soliton position oscillates around a mean trajectory. For k = 1 we solve explicitly the CC equations of the variational approximation for slow moving solitary waves in a constant external force without damping and find reasonable agreement with solving numerically the CC equations. We then compare the results of the variational approximation with no damping with numerical simulations of the NLD equation for k = 1, when the components of the external force are of the form f(j)= r(j) exp(-iKx) and again find agreement if we take into account a certain linear excitation with specific wavenumber that is excited together with the intrinsic oscillations such that the momentum in a transformed NLD equation is conserved.National Natural Science Foundation of China [11471025, 91330110, 11421101]; Alexander von Humboldt Foundation (Germany) through Research Fellowship for Experienced Researchers [SPA 1146358 STP]; MICINN (Spain) [FIS2014-54497-P]; Junta de Andalucia (Spain) [FQM207, P06-FQM-01735, P09-FQM-4643]; Plan Propio of the University of Seville; Department of Atomic Energy, Government of India through a Raja Ramanna FellowshipSCI(E)[email protected]; [email protected]; [email protected]; [email protected]; [email protected]; [email protected]
Estimation of Urban Area Surface Temperature with Landsat 8 Thermal Band Using GIS: A Case Study of Jaipur City
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Effect of Integrated Nutrient Management of Chickpea (Cicer arietinum L.) under Teak (Tectona grandis) Based on Agroforestry
No full textAt the research field of the College of Forestry, SHUATS, Prayagraj, UP, a field experiment was carried out in the Rabi season from November 2022 to March 2023 to determine the impact of integrated nutrition management on Chickpea (Cicer arietinum L.). The experiment is set up using a randomized block design (RBD), with seven treatments that are duplicated three times using different treatments. The results showed that the highest plant height was 19.80 cm at the 30 DAS (days after sowing) interval, 46.43 cm at the 60 DAS interval, and 52.51 cm at the 90 DAS interval. At 30 DAS maximum number of branches (4.33), 60 DAS maximum number of branches (8.67), and 90 DAS maximum number of branches (12.33), maximum test weight (100 seed, hundred seed weight) (gm) (28.00), greatest grain output q/ha (14.51), highest DAS to flowering (79.14), highest number of pods per plant (no.) (32.27), and highest number of seeds per pod (no.) (2.23). Following the best straw yield per hectare (18.33), the highest harvest index percentage (44.18) and the highest benefit-cost ratio (2:91) were harvested. Maximum net return of 115,255 and maximum gross return of 154,855 respectively. The Treatment T7 outcome with the highest recorded result was 100%VERMICOMPOST + 0%FYM + 0%NPK
Estimation of Surface Runoff Using SCS Curve Number Method Coupled with GIS: A Case Study of Vadodara City
No full textAbsolute configuration of calogenin and its 20-keto derivative
No full text1744-1747The absolute configuration of calogenin (isolated from Periploca calophylla) and its 20-keto derivative (isolated from Hemedesmus indicus) has been established as pregn-5-ene-3β,14β,20R triol containing a C-17 hydroxy ethyl chain in ⍺-configuration and pregn-5-ene-20-keto-3β,14β -diol containing a C-17 methyl keto chain in β-configuration, respectively
ChemInform Abstract: Absolute Configuration of Calogenin (I) and Its 20‐Keto Derivative (II).
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