Papers by Nirmal Choudhary
The wastewater containing bivalent copper was treated with adsorbent prepared from Crotalaria bur... more The wastewater containing bivalent copper was treated with adsorbent prepared from Crotalaria burhia (a plant of western Rajasthan) was investigated in batch experiments. The results showed removal of 74.8% of copper in the 60 mgl-1 copper solutions. The adsorptive capacity of the Crotalaria burhia was dependent on the pH of the copper solution, with pH 6 being optimal. The adsorption data fit well with the adsorption isotherm models. Comprehensive characterization of parameters indicates Crotalaria burhia to be an excellent material for adsorption of Cu(II) to treat wastewaters containing low concentration of the metal Key wordsAdsorption, Heavy metals, adsorption Isotherm, Crotalaria burhia, Wastewater
Role of Calotropis Procera for Removal of Ni(II) Ion from Waste Water
The present work deals with the removal of Ni(II) ion using activated charcoal prepared from the ... more The present work deals with the removal of Ni(II) ion using activated charcoal prepared from the stem of Calotropis procera. The Ni2+ adsorption was found to be dependent on adsorbent dose, initial concentration, pH and contact time. The removal of Ni ion is higher at lower conc. and gradually decreases as the concentration increases. The pH 6 was the most suitable for removal and removal of Ni(II) ion increases with the increase in the absorbent dose.
Multimedia Tools and Applications, 2020
Group recommender system (GRS) is the gradually prospering type of recommender system (RS) which ... more Group recommender system (GRS) is the gradually prospering type of recommender system (RS) which tends to provide recommendations for the group of users rather than the individual. Most of the existing GRS obtain group preferences using equal weighing of the individual preferences, ignoring the relationship among group members within the group. But this is not a practical scenario because each member has different behavior. Therefore, in this article, we introduce a multiagent based negotiation mechanism between agents, each of them acts in favor of one group member. The proposed negotiation protocol allows agents to accept or discard a part of the offer based on trust and distrust among users, which gives more agility to the negotiation process. Further, we use memory for each agent in the group that records the previously proposed offers for that agent. The efficiency of trust-distrust enhanced GRSs is compared with traditional techniques and the outcomes of computational experiments confirm the supremacy of our proposed models over baseline GRSs techniques.
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Papers by Nirmal Choudhary