Assam Don Bosco University Journals
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Nanomaterial-based Sensing of Low-concentration NO2 Gas: A Review
Get PDFThis paper highlights the recent advances and new trends in nanomaterial-based detection of NO2 in ambient air, which is the major constituent of polluted air. The development of rapid, sensitive, and reliable gas sensing techniques is essential for the benefit of human life and health. Gas sensors are emerging as important devices in both industrial and medical applications. As a result, more and more work has been done in recent years to develop gas sensors with high selectivity, sensitivity, reproducibility, and stability. As such, various nanomaterials have been explored to improve the overall performance of gas sensors, among which, ZnO, ZnO-ZnS, and carbon dots (CDs) have received enormous attention due to their excellent performance. This paper reviews the applications of ZnO, ZnO-ZnS, and Carbon Dots (CDs) for sensing low-concentration NO2. The synthesis methods and performance characteristics of these nanomaterials are discussed in detail. Lastly, the challenges, and perspectives on the future trends of these nanomaterial-based gas sensors are highlighted
DECISION MAKING WITH SIMPLEX MODEL: A CASE STUDY
Get PDFDecision making is a big deal for a manufacturer. Simplex model is a vibrant tool for the decision makers. This paper focuses on of the most used simplex technique to take the decision of producing optimum number of items for earning maximum profit. Here, a drinking water manufacturing company has been undertaken and the information regarding different items produced, number of units produced, labour hour required, profit earned for each of the items has been collected. Linearity of the information is checked with help of coefficient of determination. Profit function is generated along with the underlying set of constraints and the convexity is also verified and eventually a linear programming problem of the company is formulated. Solving the problem by the powerful simplex technique in Excel-Solver, the maximum profit as well as the optimum number of items to be produced are obtained
Travel Demand Modelling of work trips for Nashik city, Maharashtra, India
Get PDFModels based on trip have been developed over a period of time. This models which is based on trips uses the individual trips as the major factor for analysis in modelling. In this paper four step trip based model developed for the Nashik. In first step Pilot study was conducted in city to collect the necessary data after that multiple regression method is used to derive trip production regression equation. This is used for calculating existing and projected trip production. In second step existing and projected trip distribution is calculated and mapped. In third step for modal split analysis binary logit model is used to calculate mode choice. In last step the shortest path between zones is drawn from network analysis in Arc-GIS.Based on the travel demand modelling for work trip shows that maximum number of peoples are using private mode of transportation for trip rather than public transport
Modeling of solar assisted air purifier for room air conditioning
Get PDFThe main aim of the paper is to purify ambient air in the month of January and May in Guwahati city for an office room of 40 m3 with 6 persons and 5 LED(light emitting diode) bulbs of 9W each throughout the day. In January ambient air is purified and brought to reference state of 40% relative humidity, 24oC by using an air purifier, air blower, and vapour compression refrigeration system using 134a as refrigerant. Similarly in May ambient air is purified and brought to reference state of 50% relative humidity, 18oC by using an air purifier, air blower, and vapour compression refrigeration system using 134a as refrigerant. The power required for operating the blower, 5 LED bulbs and vapour compression refrigeration compressor are obtained from 9 solar photovoltaic modules in parallel, 2 in series of model SW 280 assisted by 219.536 Ah capacity rechargeable battery
IN SILICO STUDY OF BIOREMEDIATION PROPERTY OF MICROBIAL LACCASE ENZYMES 3CG8 AND 1GYC
Get PDFMicrobial bioremediation is the process of removing environmental toxins by using microorganisms and/or their products (enzymes or wasted biomass). The current study sought to evaluate the potential of laccase enzymes of microbial origin (bacterial and fungal) as a bioremediating agent for scavenging pollutants such as pharmaceutical, microplastic, and paper mill effluents. Bacterial laccase enzyme with PDB ID 3CG8 and fungal laccase enzyme with PDB ID 1GYC were used; ligand structures were acquired from Pub Chem. UCSF Chimera were used for visualisation and preparation of the protein structures for docking. Achilles docking server was used for blind docking, while AutoDock 4.2.6 was utilised for site-specific docking. The active sites of target proteins were predicted using the Scf bio-online programme for site specific docking. Blind docking with target protein bacterial laccase 3CG8 exhibited prominent binding affinity with Clarithromycin (hydrogen bonding with Thr192 and with Leu78) and with fungal laccase PDB ID 1GYC with Bezafibrate (hydrophobic interactions only). In site specific docking, polycarbonate exhibited the lowest binding energy with both laccase enzyme due to four hydrogen bonding with Ala266, Ile262, His104 and His154 residue of protein 3CG8 and two hydrogen bonding with Ala80, Phe344 of protein 1GYC. The current study demonstrated through an insilico approach laccase enzyme does possess the property of binding with pollutants and might degrade them to fewer toxic by-products. The study also reflected that the binding affinity and stability of binding is more efficient with blind docking in comparison to site specific docking implicating flexibility of the enzyme does affect the binding ability. Further studies might be conducted in terms of in silico prediction of complex degradation products and confirmation of the findings in experimental studies by exposing the pollutants to laccase synthesising microorganisms
HOME AUTOMATION SYSTEM.
Get PDFHome automation system is becoming popular day by day all-over the world. Starting from simple home to large industrial setup everywhere Home Automation is used in a large number. With the advancement of technologies home automation system are gradually advancing more and more, making the life of every individual smoother and easier with minimizing the work load. Home automation refers to the automatic and electronic control of household appliances, features and activities which is initially developed with the aim to provide supporting system for the elderly and disabled, especially those who live alone but now a days it also fulfil the requirement of a large number of population seeking luxury and sophisticated home automation platform. The main objective of the project is to provide the necessary freedom of controlling devices in home or industry like tube light, electrical bulbs, electrical fan, AC etc. automatically using different sensors like PIR, DHT 11, wit the Arduino UNO platform by sensing the presence of individual. The device is made smart enough to detect human presence using PIR sensor and measuring different other parameters like daylight, temperature etc to control Electrical bulbs and the speed of fan. The proposed prototype also come with a LCD display to make the user to see the different values of measured parameters like temperature etc. The device also enables the user to manually control different activities like ON/OFF lights and speed of fan. The device is also a cost effective model to make it possible to implement by everyone according to there requirements