scispace - formally typeset
Search or ask a question
Institution

P A College of Engineering

About: P A College of Engineering is a based out in . It is known for research contribution in the topics: Dihedral angle & Ring (chemistry). The organization has 298 authors who have published 594 publications receiving 4888 citations.


Papers
More filters
Journal ArticleDOI
TL;DR: This paper investigates the performance behavior of the hybrid DG, which uses the benefits of two kinds of DGs and overcomes their limitations and the performance enhancement realization with the presence of hybrid DG is observed from the obtained simulation results.
Abstract: The integration of Distributed Generators (DGs) in the reconfigurable microgrid is evolved to enhance the power delivery performance. The DGs are categorized as controllable and uncontrollable based on their power generation control behaviors. In addition to the control behavior, under the uncertain conditions of the microgrid, the performance of DGs is limited due to their respective drawbacks. Therefore, the identification of the most suitable DG under uncertain situation becomes more critical. This paper investigates the performance behavior of the hybrid DG, which uses the benefits of two kinds of DGs and overcomes their limitations. This work addresses five objective functions namely minimization of power loss, total generation cost, total emission cost and voltage deviation, and the maximization of the percentage DG penetration. The performance investigation of DGs is carried out for the system under five different test cases, including the uncertainty in power supply and demand. The modeling of the demand variation is done with the support of Probability Density Function (PDF). The many objective multi-indicator Stochastic Ranking Algorithm (SRA) is used for the optimization purposes. The simulations are performed on IEEE 33-bus Radial Distribution System (RDS) to assess the capability of the proposed investigation. Furthermore, the proposed strategy is applied under 24-h timely varying load pattern of IEEE 33-bus RDS to verify its applicability in uncertain load conditions. Moreover, the performance enhancement realization with the presence of hybrid DG is observed from the obtained simulation results.

6 citations

Journal ArticleDOI
TL;DR: In the title compound, C21H16F2O3, the pendant fluorobenzene rings form dihedral angles of 22.22 (12) and 50.74”(11)° with the central benzene ring.
Abstract: In the title compound, C21H16F2O3, the pendant fluoro­benzene rings form dihedral angles of 22.22 (12) and 50.74 (11)° with the central benzene ring. In the crystal, mol­ecules are linked by C—H⋯O hydrogen bonds into chains along the a axis. The crystal structure also features C—H⋯π inter­actions.

6 citations

Proceedings ArticleDOI
01 Nov 2018
TL;DR: A study has been conducted by using naïve Bayes classifier to classify the medical data using data science approach and the suitability of the classifier and the accuracy of theclassifier are measured using different performance criteria.
Abstract: currently, maintenance of clinical databases has become a crucial task in the medical field. The patient data consisting of various features and diagnostics related to disease should be entered with the utmost care to provide quality services. As the data stored in medical databases may contain missing values and redundant data, mining of the medical data becomes cumbersome. As it can affect the results of mining, it is essential to have good data preparation and data reduction before applying data mining algorithms. Prediction of disease becomes quick and easier if data is precise and consistent and free from noise. One of the key specialty of Naive Bayes classifiers is that they are highly scalable, requiring a number of parameters linear in the number of variables (features/predictors) in a learning problem. Evaluation of closed-form expression can be achieved by Maximum-likelihood training. Which requires linear time, rather than by expensive iterative approximation as used for many other types of classifiers. This research uses data science approach to diognize the medical data. In this article, a study has been conducted by using naive Bayes classifier to classify the medical data. The suitability of the classifier and the accuracy of the classifier are measured using different performance criteria. This study is useful for researchers and developers in understanding and using a classification technique in medical diagnosis.

6 citations

Journal ArticleDOI
TL;DR: In order to understand the phenomenon of small molecule organic saturable absorbers, the carboxylate compounds ethyl-6-(4-benzyloxyphenyl)-4-phenyl-2-oxycyclohex-3-ene-1-carboxylates (CAR I, CAR II, CAR III) were synthesized by Michael addition reaction of chalcones with ethylacetoacetate.
Abstract: In order to understand the phenomenon of small molecule organic saturable absorbers, the carboxylate compounds ethyl-6-(4-benzyloxyphenyl)-4-phenyl-2-oxycyclohex-3-ene-1-carboxylate (CAR I), ethyl-6-(4-benzyloxyphenyl)-4-(4-methylphenyl)-2-oxycyclohex-3-ene-1-carboxylate (CAR II) and ethyl-6-(4-benzyloxyphenyl)-4-(4-bromophenyl)-2-oxycyclohex-3-ene-1-carboxylate (CAR III) compounds were synthesized by Michael addition reaction of chalcones with ethylacetoacetate The UV absorption λmax values of CAR I, CAR II, CAR III were found to be 284, 296, 292 nm respectively Similarly, the optical band gap of these carboxylate compounds were calculated using HOMO-LUMO were 387, 389, 38 eV correspondingly The nonlinear absorption (NLA) coefficient, β value of these compounds were found as −389 × 10−12, −423 × 10−12, −371 × 10−12 m/W and nonlinear refractive (NLR) index, n2 were determined as 1683 × 10−19, 1387 × 10−19, 611 × 10−19 m2/W Third order nonlinear susceptibility, χ(3) were found as 1229 × 10−13, 78 × 10−13, 416 × 10−13esu These cyclohexene carboxylate derivatives showed saturable absorption owing to higher optical band gaps The nonlinear refractive index values have shown that these carboxylate compounds were focusing in nature The CAR I has highest nonlinear refractive index of 1683 × 10−19 m2/W and nonlinear susceptibility of 1229 × 10−13esu compared to CAR II and CAR III indicating substitution by either electron donor or accepter reduce the susceptibilities

6 citations

Journal ArticleDOI
TL;DR: The Mannich reaction is a three-component reaction of an aldehyde, a primary or secondary amine and a ketone which is one of the most powerful C-C bond forming reactions in organic synthesis as discussed by the authors.
Abstract: The Mannich reaction is a three-component reaction of an aldehyde, a primary or secondary amine and a ketone which is one of the most powerful C-C bond forming reactions in organic synthesis. It leads to β-amino carbonyl compounds, which are useful for the syntheses of nitrogen containing compounds, such as natural products and medicinally relevant compounds. The versatility and potential of these compounds to introduce both functional and structural diversity using the Mannich reaction have stimulated the creativity of chemists. Keeping in view of the importance of this organic moiety in the field of medicine and biology here an attempt has been made to review the synthesis and biological importance of heterocyclic Mannich base derivatives.

6 citations


Authors

Showing all 298 results

Network Information
Related Institutions (5)
Anna University
19.9K papers, 312.6K citations

84% related

VIT University
24.4K papers, 261.8K citations

83% related

Bharathidasan University
6.3K papers, 108.8K citations

83% related

Thapar University
8.5K papers, 130.3K citations

82% related

National Institute of Technology, Tiruchirappalli
8K papers, 111.9K citations

82% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20223
2021120
202054
201935
201823
201723