Manish H. Bhagwani’s research while affiliated with Indian Institute of Technology Kharagpur and other places

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Publications (5)


Figure 1: Structure of Cyanex-272 [bis(2,2,4 trimethylpentyl)phosphinic acid].
TABLE 1 . Compositions of PVA and NAG blends with and without Cyanex-272.
TABLE 2 . Viscosity and conductivity measurements for polymer and blend solutions of PVA and NAG with and without Cyanex-272.
Studies on fabrication, characterization, and metal extraction using metal chelating nonwoven nanofiber mats of poly(vinyl alcohol) and sodium alginate blends
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February 2013

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4,216 Reads

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24 Citations

Polymer Engineering and Science

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Manish Bhagwani

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Poly(vinyl alcohol) and sodium alginate blends with and without the metal chelate, bis(2,4,4-trimethylpentyl)phosphinic acid were prepared in various compositions and fabricated to stable nanofibers and films to evaluate their efficacy for metals adsorption and desorption. Surface morphology of the nanofibers was characterized by scanning electron microscopy. The solution properties and variation in content of sodium alginate in the feed mixture have influenced morphology of nanofibers. However, influence of bis(2,4,4-trimethylpentyl)phosphinic acid was insignificant. The films and nanofibers were characterized using Fourier transform infrared spectroscopy, differential scanning calorimetry, thermo gravimetric analysis, and X-ray diffraction to understand compatibility between polymers, thermal stability, decomposition temperature, and variations in crystallinity. Metal adsorption studies for nanofiber mats comprising bis(2,4,4-trimethylpentyl)phosphinic acid were demonstrated using copper (II), cobalt(II), and nickel(II) salts. The nanofibers adsorbed more copper (363 mg/g) when compared with films (105 mg/g). Nanofiber mats immobilized with bis(2,4,4-trimethylpentyl)phosphinic acid adsorbed copper in greater magnitude (497 mg/g) than nanofiber mats without bis(2,4,4-trimethylpentyl)phosphinic acid (363 mg/g). However, adsorption of cobalt and nickel was very low to be detected. The metal adsorption and desorption studies were also confirmed by energy dispersive X-ray spectroscopy. POLYM. ENG. SCI., 2013. © 2012 Society of Plastics Engineers

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Study of Table Relationship Analysis Techniques for Database Investigation

August 2012

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261 Reads

Nowadays, big organizations have a huge amount of data stored in the database systems. This may be the personnel, account, logistics or other kind of data. This data is a very important source to apply digital forensics, in order to check the honesty of the company. It is very difficult to extract the actual/hidden data without knowing the actual structure of the database. Even if we get the structure, it is not easy to understand the complexity of relationships among different tables and do the required investigation. In this paper, we study the investigation extraction methods for database table relationships in the view of digital forensics


A Novel Approach in E-Learning Evaluation System for Test-Sheet Generation

Evaluation of student's knowledge state should include the significant knowledge in the order of difficulties in student's mentality. Most contemporary evaluations have been performed in the purpose of measuring student's academic achievement. Since such evaluation results do not contain enough information about individual knowledge state, the contemporary evaluation methods might not be useful for diagnostic and formative purpose. Since the last decade, computerassisted testing has proven to be an efficient and effective way to evaluating students' learning status such that proper tutoring strategies can be adopted to improve their learning performance. A good test will not only help the instructor evaluate the learning status of the students, but also facilitate the diagnosis of the problems embedded in the students' learning process. This needs construction of the test-sheets satisfying multiple assessment requirements. The novel method uses genetic algorithm for test-sheet generation. The algorithm has been applied to large sized data banks.


A Test Sheet Generation Approach Using Genetic Algorithm for Multiple Assessment Criteria in E-learning Evaluation System

Since the last decade, computer-assisted testing has proven to be an efficient and effective way to evaluating students’ learning status such that proper tutoring strategies can be adopted to improve their learning performance. A good test will not only help the instructor evaluate the learning status of the students, but also facilitate the diagnosis of the problems embedded in the students’ learning process. One of the most important and challenging issues in conducting a good test is the construction of test sheets that can meet various assessment requirements. A previous study has indicated that selecting test items to best fit multiple assessment requirements can be formulated as a mixed integer programming model. Computational challenges hinder the development of efficient solution methods. As a sequel, we instead seek quality approximation method based upon a genetic approach has bee developed. Statistics from a series of computational experiments indicate that our approach is able to efficiently generate near-optimal combination of test items that satisfy the specified requirements or constraints.


Test Sheet Generation Using Feasible Item First Genetic Algorithm

In a computer-assisted testing system, the quality of the test items will significantly affect the accuracy of the test. Selection of appropriate test items is important when constructing a test-sheet that meets multiple assessment requirements such as, average difficulty degree, average discrimination degree, length of the test time, number of the test items and specified distribution of the concept weights. A good test will not only help the instructor evaluate the learning status of the students, but also facilitate the diagnosis of the problems embedded in the students’ learning process. A approximation method based upon a genetic approach has been developed. Statistics from a series of computational experiments indicate that our approach is able to efficiently generate near-optimal combinations of test items that satisfy the specified requirements or constraints.

Citations (1)


... Therefore, synthetic polymers such as PVA and polyethylene oxide have been added to aqueous SA solutions in electrospinning [14]. A limited number of studies have been reported for PVA/alginate-blended electrospun nanofibers [14][15][16][17]. SA and PVA blend improves the final wound-healing material's physical, mechanical, and biological properties compared to the individual polymers. ...

Reference:

Preparation and Characterization of Amoxicillin-Loaded Polyvinyl Alcohol/Sodium Alginate Nanofibrous Mat: Drug Release Properties, Antibacterial Activity, and Cytotoxicity
Studies on fabrication, characterization, and metal extraction using metal chelating nonwoven nanofiber mats of poly(vinyl alcohol) and sodium alginate blends

Polymer Engineering and Science