Recent Trends for Ash Disposal and Utilisation

In thermal power plant coal is being burnt and residue is left as ash. This ash is classified as bottom ash and fly ash. The ash generated below the furnace of thermal power plant is bottom ash which is around 20 of total ash and rest of 80 is fly ash. Bottom Ash is a coarse component of coal burnt ash and is not as useful as fly ash, because bottom ash remains toxic when recycled. But the fly ash when recycled, renders the toxic material and makes it safe for use. Fly Ash is a residue of coal combustion which is obtained from the coal based thermal power plant. It has been observed that the quality of ash produced is extremely good. They are fineness having low unburnt carbon and have high pozzolanic activity. It can be use as Pozzolana in manufacturing of building products like fly ash based bricks, cement, tiles, etc. It has advantage in agricultural industry as well as in the roads and embankment construction. The ash is a commodity that could help the company for producing wealth in long run if utilized in right direction. Fly ash is also considered as resource materials and the considerable amount of minerals can be extracted from it. This paper presents review on utilization of fly ash, that how it can be utilized in different applications, their properties and if proper utilization and disposal is not done, how it can affect our environment and life. 

by Kanak Sharma | Harshit Nishad | Ketan Chakarvarty | Prof. Yogesh Chandra ""Recent Trends for Ash Disposal and Utilisation""

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-2 , February 2020,

URL: https://www.ijtsrd.com/papers/ijtsrd30056.pdf

Paper Url : https://www.ijtsrd.com/engineering/mechanical-engineering/30056/recent-trends-for-ash-disposal-and-utilisation/kanak-sharma

internationaljournalsinengineering, callforpaperengineering, ugcapprovedengineeringjournal 

Satellite Image Classification with Deep Learning Survey

Satellite imagery is important for many applications including disaster response, law enforcement and environmental monitoring etc. These applications require the manual identification of objects in the imagery. Because the geographic area to be covered is very large and the analysts available to conduct the searches are few, thus an automation is required. Yet traditional object detection and classification algorithms are too inaccurate and unreliable to solve the problem. Deep learning is a part of broader family of machine learning methods that have shown promise for the automation of such tasks. It has achieved success in image understandi

ng by means that of convolutional neural networks. The problem of object and facility recognition in satellite imagery is considered. The system consists of an ensemble of convolutional neural networks and additional neural networks that integrate satellite metadata with image features.

BY Roshni Rajendran | Liji Samuel ""Satellite Image Classification with Deep Learning: Survey""

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-2 , February 2020,

URL: https://www.ijtsrd.com/papers/ijtsrd30031.pdf

Paper Url : https://www.ijtsrd.com/engineering/computer-engineering/30031/satellite-image-classification-with-deep-learning-survey/roshni-rajendran

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Implementation of Low Cost Radon Measuring System for Air Quality Monitoring

Because inhaling radon and its radioactive decay products causes irradiation of lung tissue, the radon data obtained from houses and workplaces need to be transferred using Wi Fi and the Internet to a database on a radon monitoring server system. To do this, a PIN photodiode radon measuring system was implemented and the ESP8266 Wi Fi module was used for wireless communication. Through some experimental studies, we showed that the data transmission using these Wi Fi modules was very successful.

BY Jun-Yong Kim | Gyu-Sik Kim ""Implementation of Low-Cost Radon Measuring System for Air Quality Monitoring""

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-2 , February 2020,

URL: https://www.ijtsrd.com/papers/ijtsrd30075.pdf

Paper Url : https://www.ijtsrd.com/engineering/electrical-engineering/30075/implementation-of-low-cost-radon-measuring-system-for-air-quality-monitoring/jun-yong-kim

callforpapersocialscience, ugcapprovedjournalsforsocialscience, socialsciencejournal

Structure, Biomass Carbon Stock and Sequestration Rate of Mangroves in the Bakassi Peninsula, S W Cameroon

The forest plays a major role in stabilizing increasing temperatures due to its climate mitigation capacity. This is not unconnected to the carbon storing and sequestration potentials of forests. The mangrove as one of the global forest types is said to be a major carbon store. This conclusion is characterized by some knowledge gaps on the actual carbon stock and sequestration potentials of some mangroves forest on the Central African Sub regional landscape. Some of these areas are the Bakassi mangroves in the South West Cameroon. Cross border conflicts, piracy and over exploitation have rendered the sourcing of appropriate data on its carbon stock and sequestration potentials difficult. In strive to bridge this knowledge gap, this work carried out a baseline assessment of the carbon stock and sequestration rate of the area. To achieve the study objectives, stratified random opportunistic sampling inventory design based on five forest canopy height classes, tree Diameter at Breast Height DBH and canopy nature using digital elevation model DEM of the shuttle Radar Topographic Mission SRTM . This combination evaluated the species type and forest structure around the areas. Carbon stocks were estimated with the use of allometric equations using biomass data collected within main plots, sub plots, micro plots and transects. Results showed that mean biomass carbon stock density for the height classes for Bakassi ranged from 33.5 Mg ha to 598.9Mg ha. Thus on average, for a hectare in Bakassi, the carbon stock is 880.437 Mg ha and a sequestration rate of 3231.204 tCO2e ha . 

by Kamah Pascal Bumtu | Nkwatoh Athanasius Fuashi | Longonje Simon Ngomba ""Structure, Biomass Carbon Stock and Sequestration Rate of Mangroves in the Bakassi Peninsula, S-W Cameroon""

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-2 , February 2020,

URL: https://www.ijtsrd.com/papers/ijtsrd30171.pdf

Paper Url : https://www.ijtsrd.com/humanities-and-the-arts/environmental-science/30171/structure-biomass-carbon-stock-and-sequestration-rate-of-mangroves-in-the-bakassi-peninsula-s-w-cameroon/kamah-pascal-bumtu

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Bubble Wrap The Key to a New Floating Solar Thermal System

Solar Thermal Energy STE is a form of energy and a technology for harnessing solar energy to generate thermal energy or electrical energy for industries and to desalinate water and to treat waste water, among other things. Here we demonstrate a floating solar receiver which is capable of generating 1000C steam under ambient air conditions without optical concentration. Here the high temperatures are achieved by using thermal concentration and heat localization. This reduces the convective, conductive and radiative heat losses. This demonstration of a low cost and scalable solar vapour generator holds the promise of significantly for expanding the application domain and reducing the cost of solar thermal systems.

BY G. Krishna Rohith | G. Durga | S. Dhayanandh ""Bubble Wrap: The Key to a New Floating Solar Thermal System""

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-2 , February 2020,

URL: https://www.ijtsrd.com/papers/ijtsrd30017.pdf

Paper Url : https://www.ijtsrd.com/engineering/electrical-engineering/30017/bubble-wrap-the-key-to-a-new-floating-solar-thermal-system/g-krishna-rohith

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Simulation Analysis in Lateral Torsional Buckling of Channel Section by Using Ansys Software

Design rules for eccentrically loaded beams with open channel cross sections are not available in Indian code IS 800 2000 general construction in steel code of practice third revision . In this study Indian standard medium weight parallel flange ISMCP 175, ISMCP 200, ISMCP 3000 channel beams are used different span length to section height ratio of the beams is taken. The type of loading and the uniformly distributed load application are limited through the web of the channels. General solutions like Elastic critical moment, Slenderness, Reduction factors and the Ultimate loads are determined by using formula given in ANNEX E CL.8.2.2.1,IS 800 2007 for mono symmetric beams and compared with NEW DESIGN RULE snijder and with Finite Element FE simulations on the basis of a parameteric study using ANSYS software 14.0. It is was noticed that mono symmetric formula in code is giving elastic critical moment results upto 0.3 difference with ANSYS result for slender beams but showing larger difference for stocky beams. As the size of beam is increasing with constant cross section it is resulting in reduction in design capacity. The design curve for channel beam proposed by snijder seems to be a good choice , taking torsional effect into account, but it dosent claim to be correct for beams with a ratio L h 15. The results obtained from the IS code formula is matching with ANSYS results for beams having length to depth ratio between range 20 to 40. 

BY Akshay Kumar Rathore | Nitesh Kushwah ""Simulation Analysis in Lateral Torsional Buckling of Channel Section by Using Ansys Software""

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-2 , February 2020,

URL: https://www.ijtsrd.com/papers/ijtsrd30037.pdf

Paper Url : https://www.ijtsrd.com/engineering/civil-engineering/30037/simulation-analysis-in-lateral-torsional-buckling-of-channel-section-by-using-ansys-software/akshay-kumar-rathore

callforpapermedicalscience, medicalsciencejournal, manuscriptsubmission

Obtaining Modal Parameters in Steel Model Bridge by System Identification using Artificial Neural Networks

Artificial Neural Networks are easy to build and take good care of large amounts of noisy data. They are especially suitable for the solution of nonlinear problems. They work well for problems where domain experts arent available or there are no known rules. Artificial Neural Networks can also be adapted to civil engineering structures and suffer from dynamic effects. Structures around the world were badly damaged by the earthquake. Thus, loss of life and property was experienced. This particularly affected countries on active fault lines. Pre and post earthquake precautions have been developed in the world. For these reasons, it is ne

cessary to determine the dynamic performance of structures in the world. There are several methods to determine dynamic performance. System identification is one of these methods. The mathematical model of the structural system is obtained by system identification method. Artificial Neural Networks ANN is a system identification method. ANN can adapt to their environment, work with incomplete information, make decisions under uncertainties and tolerate errors. Steel Model Bridge was used in this study. The system identification of the steel model bridge with the ANN method of 0.90 was made successfully. As a result of this study, ANN approach can provide a very useful and accurate tool to solve the problem in modal identification studies.

BY Hakan Aydin ""Obtaining Modal Parameters in Steel Model Bridge by System Identification using Artificial Neural Networks""

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-2 , February 2020,

URL: https://www.ijtsrd.com/papers/ijtsrd30013.pdf

Paper Url : https://www.ijtsrd.com/engineering/civil-engineering/30013/obtaining-modal-parameters-in-steel-model-bridge-by-system-identification-using-artificial-neural-networks/hakan-aydin

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