Heritage Institute of Technology

About: Heritage Institute of Technology is a based out in . It is known for research contribution in the topics: Support vector machine & Transconductance. The organization has 581 authors who have published 1045 publications receiving 8345 citations.

A generalized consolidation model under cyclic loading

Abstract: A generalized consolidation model is proposed to compute pore water pressure and degree of consolidation of cohesive soils subjected to long-term cyclic loading. The fundamental in-situ stress and ...

Kinetic modelling for removal of m-cresol from wastewater using mixed microbial culture in batch reactor

Abstract: An indigenous mixed microbial culture isolated from an effluent treatment section of a coke oven plant has been studied for its m -cresol biodegradation capacity under aerobic batch reactor operation. The culture, after acclimatization could biodegrade up to 700 mg/L of m -cresol. The m -cresol concentration in the present study was at 50 mg/L and then ranged from 100 to 700 mg/L with step up concentration of 100 mg/L. Both biodegradation kinetics and microorganism growth kinetics were studied and kinetic parameters were estimated. The result showed that m -cresol was an inhibitory-type substrate and the inhibition effect became predominant after 200 mg/L of initial m -cresol. The specific growth rate of microorganisms increased up to 200 mg/L of m -cresol as sole carbon source, and then started decreasing. The kinetic data obtained in this study have been fitted to different substrate inhibition models (Haldane, Han-Levenspiel, Edward, Luong, Aiba, Teissier, Yano-Koga). Among all models, Han-Levenspiel and Luong were best fitted for this study (root mean square error = 0.001349). In addition, the variation of observed yield coefficient Yx/s with initial m -cresol concentration was investigated. The values of kinetic constants estimated by the models proved that the mixed culture used in the study had good potential for m -cresol degradation.

Evaluation of Tinospora cordifolia Amylase as a Commercial Digestive Enzyme of Plant Origin

Abstract: Tinospora cordifolia stem contained 470 + 50, 3.0 + 1.5, and 1.5 + 0.5 units of amylase, maltase, and isomaltase, respectively, per gram of fresh tissue. Amylase was more thermo- and acid-stable than fungal, porcine pancreatic and human salivary amylases and liberated much more reducing sugar and glucose from cereal starches, amylopectin and glycogen than fungal enzyme. Crude enzyme hydrolyzed maltose, isomaltose, raffinose, melezitose and raw starch and therefore does not require the participation of intestinal disaccharidases for complete digestion of dietary starch into glucose. The enzyme protein was nontoxic at an oral dose of 1.5 g.Kg-1 body weight.

Efficient DropBox Deployment toward Improving Post-Disaster Information Exchange in a Smart City

Abstract: In the face of a disaster, the already installed gadgets in a smart city can be leveraged to gather post-disaster situational information. However, owing to the typical disruption of cellular and Internet connectivity during disasters, the possibility of transmitting situational information using conventional communication infrastructure is almost ruled out. The networking research community has strongly proposed the use of delay tolerant networks (DTN) in such challenged network scenario. In this article, we exploit the movement of volunteers carrying smartphones in such a scenario to form a DTN and propose a utility-based DropBox deployment scheme toward improving post-disaster situational information exchange. In this scheme, DropBoxes are deployed across the network at high utility locations. Since the effectiveness of the proposed scheme can be evaluated accurately considering an appropriate post-disaster mobility model suitable for smart cities, we present a human movement model for a post-disaster scenario in a smart city. This movement model is shown to have better performance over other competing movement models in a post-disaster smart city environment. An extensive simulation is performed using ONE simulator to evaluate the comparative performance of the proposed DropBox deployment scheme with some state-of-the-art existing deployment schemes using the presented movement model. Simulation results justify the proposed DropBox deployment scheme improves network performances in terms of delivery ratio, overhead ratio, and average residual energy at the cost of tolerable latency.