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Government College

About: Government College is a based out in . It is known for research contribution in the topics: Population & Ring (chemistry). The organization has 4481 authors who have published 5986 publications receiving 57398 citations.


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Journal ArticleDOI
TL;DR: Experimental results show that the proposed DTrustInfer outperforms the existing trust models significantly, and ensures secure communication among SIoT nodes through simple secret codes.
Abstract: The world has faced three Information and Communication Technology (ICT) revolutions and the third ICT wave led to Internet of Things, the notion of anything, everything, anytime and everywhere Out of the many visions of IoT, one revolutionary concept is to make IoT sociable ie, incorporating social networking within Internet of Things This revolution has led to the notion of Social Internet of Things (SIoT) Establishing a SIoT network or community is not so simple and requires integration of heterogeneous technology and communication solutions This paper focuses on establishing a secure and reliable communication over nodes in SIoT by computing trust dynamically among neighboring nodes Trust Management is an important area that has attracted numerous researchers over the past few years The proposed DTrustInfer computes trust based on first hand observation, second hand observation, centrality and dependability factor of a node Properties of trust such as honesty, cooperativeness, community interest and energy of a node are considered for computing trust Also, this paper ensures secure communication among SIoT nodes through simple secret codes Experimental results show that the proposed DTrustInfer outperforms the existing trust models significantly

24 citations

Journal ArticleDOI
TL;DR: Microwave assisted synthesis improves both throughput and turn-around time for chemists by offering the benefits of drastically reduced reaction times, increased yields, and purer products as mentioned in this paper. But microwave assisted synthesis is rapidly becoming the method of choice in modern chemistry laboratories.
Abstract: Microwave Assisted Synthesis is rapidly becoming the method of choice in modern synthesis and discovery chemistry laboratories. Microwave-assisted synthesis improves both throughput and turn-around time for chemists by offering the benefits of drastically reduced reaction times, increased yields, and purer products. In this type of synthesis we applying microwave irradiation to chemical reactions. The fundamental mechanism of microwave heating involves agitation of polar molecules or ions that oscillate under the effect of an oscillating electric or magnetic field. In the presence of an oscillating field, particles try to orient themselves or be in phase with the field. Only materials that absorb microwave radiation are relevant to microwave chemistry. These materials can be categorized according to the three main mechanisms of heating, namely. Dipolar polarization, Conduction mechanism, Interfacial polarization. Microwave chemistry apparatus are classified: Single-mode apparatus and Multi-mode apparatus. Although occasionally known by such acronyms as 'MEC' (Microwave-Enhanced Chemistry) or ‘MORE’ synthesis (Microwave-organic Reaction Enhancement), these acronyms have had little acceptance outside a small number of groups. The ability to combine microwave technology with in-situ reaction monitoring as an analytical tools will offer opportunities for chemists to optimize the reaction conditions. Different compounds convert microwave radiation to heat by different amounts. This selectivity allows some parts of the object being heated to heat more quickly or more slowly than others (particularly the reaction vessel).

24 citations

Journal ArticleDOI
TL;DR: In this paper, a series of blue to magenta emitting color-tunable LaGaO3: Bi3+/Cr3+ phosphors were prepared by chemical routes, and their phase structure, morphology and photoluminescence properties were investigated in detail.
Abstract: A series of blue to magenta emitting color-tunable LaGaO3: Bi3+/Cr3+ phosphors were prepared by chemical routes, and their phase structure, morphology and photoluminescence (PL) properties were investigated in detail. Luminescence studies indicated that the optimum concentrations of Bi3+ and Cr3+ in LaGaO3 were found to be 1 at% and 3 at%. Co-doping with Bi3+ ions resulted in increased Cr3+ emission intensity and gradual reduction in Bi3+ emission intensity, confirming the presence of a Bi3+–Cr3+ energy transfer. The energy transfer (ET) mechanism from the host lattice to the Bi3+ and Cr3+ ions in the LaGaO3: Bi3+/Cr3+ phosphor has been explained. The ET efficiency has been calculated and found to be 55%. The critical ET distance has been calculated by the concentration-quenching method. The enhanced intensity and tuned luminous color of LaGaO3: Bi3+/Cr3+ phosphors provided a promising material for field emission display devices.

24 citations

Journal ArticleDOI
TL;DR: Different types of UV spectrometric methods developed on the basis of principle of additivity, absorbance difference, processing absorption spectra are reviewed in this article, where a brief summary on theories, mathematical background and some applications of these methods are presented.
Abstract: Rapid and easy analytical methods are needed due to increasing number of multicomponent formulations, biotherapeutic products and samples of complex matrix in que. Number of Ultraviolet (UV) spectrophotometric methods used for these purpose. Different types of UV spectrometric methods developed on the basis of principle of additivity, absorbance difference, processing absorption spectra. The aim of this review is to present information on simultaneous equation method, difference spectrophotometry, derivative spectrophotometry, absorbance ratio spectra, derivative ratio spectra, successive ratio - derivative spectra, Q-absorbance ratio method, absorptivity factor method, dual wavelength method, absorption factor method, multivariate chemometric methods, and isosbestic point method. A brief summary on theories, mathematical background and some applications of these methods are presented here.

24 citations

Journal ArticleDOI
TL;DR: The proposed S-GENSAT integrates solution space reduction, hybridization, trapping out of local minima, robustness, and convergence; it consistently outperformed both a conventional genetic algorithm and a conventional simulated annealing algorithm.
Abstract: Computer-aided process planning (CAPP) is an important interface between computer-aided design (CAD) and computer-aided manufacturing (CAM) in computer-integrated manufacturing environment. A problem in traditional CAPP system is that the multiple planning tasks are treated in a linear approach. This leads to an overconstrained overall solution space, and the final solution is normally far from optimal or even nonfeasible. A single sequence of operations may not be the best for all the situations in a changing production environment with multiple objectives such as minimizing number of setups, maximizing machine utilization, and minimizing number of tool changes. In general, the problem has combinatorial characteristics and complex precedence relations, which makes the problem more difficult to solve. The main contribution of this work is to develop an intelligent CAPP system for shop-floor use that can be used by an average operator and to produce globally optimized results. In this paper, the feasible sequences of operations are generated based on the precedence cost matrix (PCM) and reward-penalty matrix (REPMAX) using superhybrid genetic algorithms-simulated annealing technique (S-GENSAT), a hybrid metaheuristic. Also, solution space reduction methodology based on PCM and REPMAX upgrades the procedure to superhybridization. In this work, a number of benchmark case studies are considered to demonstrate the feasibility and robustness of the proposed super-hybrid algorithm. This algorithm performs well on all the test problems, exceeding or matching the solution quality of the results reported in the literature. The main contribution of this work focuses on reducing the optimal cost with a lesser computational time along with generation of more alternate optimal feasible sequences. Also, the proposed S-GENSAT integrates solution space reduction, hybridization, trapping out of local minima, robustness, and convergence; it consistently outperformed both a conventional genetic algorithm and a conventional simulated annealing algorithm.

24 citations


Authors

Showing all 4481 results

NameH-indexPapersCitations
Rajesh Kumar1494439140830
Sanjeev Kumar113132554386
Rakesh Kumar91195939017
Praveen Kumar88133935718
V. Balasubramanian5445710951
Ghulam Murtaza53100514516
Marimuthu Govindarajan522126738
Muhammad Akram433937329
Ghulam Abbas404396396
Shivaji H. Pawar391684754
Muhammad Afzal381184318
Deepankar Choudhury351993543
Hidayat Hussain343165185
Hitesh Panchal341523161
Sher Singh Meena331873547
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202227
2021991
2020797
2019477
2018486
2017437