Analytical Study of Municipal Solid Waste Characteristics at Deonar Dumping Yard in Mumbai Region, Maharashtra, India

Waste management is an international sensation, rising population, industrialization and urbanization are accountable to produce a tremendous amount of waste. Today's daily waste generation rate is about 760,000 tons. By 2025, this rate will be increased to about 1.8 million tons per day. These approximations are conservative the real values are probably double of this amount. 1 The estimated municipal solid waste generation by 8 Municipal Corporations and 9 Municipal Councils in Mumbai Metropolitan Region MMR cumulatively generate more than 10,000 metric tons of solid waste per day. Due to growth in population, industrialization and urbanization, the generation of solid waste has increased frighteningly. There is a high need for systematic management of municipal solid waste and for that understanding of characteristics play a vital role in it. In these research paper characteristics of Deonar dumping, yard has been studied on pre monsoon and post monsoon bases and encounter that, it contained some amount of organic and recyclable part, which if managed well, will reduce the load on dumping yard considerably.

BY  Dabhi Jagrutiben | Abhay Shelar "Analytical Study of Municipal Solid Waste Characteristics at Deonar Dumping Yard in Mumbai Region, Maharashtra, India"

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019,

URL: https://www.ijtsrd.com/papers/ijtsrd23333.pdf

Paper URL: https://www.ijtsrd.com/engineering/environment-engineering/23333/analytical-study-of-municipal-solid-waste-characteristics-at-deonar-dumping-yard-in-mumbai-region-maharashtra-india/dabhi-jagrutiben

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Comparative CFD and Simulative Analysis of Flow Behaviour to Calculate Losses in Different Geometrical Pipes

In order to transport the fluid effectively without suffering much energy loss it becomes very important to understand the frictional losses in fluid flow. And here basically two very crucial types of Losses are discussed such as Major Energy Loss this occur due to friction and other one is Minor Energy Loss this is due to sudden expansion, sudden contraction and bend in a pipe . This study will focus on calculating Losses like Major and Minor loss in turbulent fluid flow through pipes of different geometries expansion, contraction and bend . And the whole study will be performed using three different techniques firstly being experimentally performed in Fluid Mechanics and Machinery Laboratory, secondly at nodal centre of IIT DELHI using programme Virtual Labs, a project initiated by the MHRD, Govt. of India, and thirdly using ANSYS FLUENT a simulation and modelling software. The results obtained by using the three above discussed methods would be used for result validation and pointing the most effective method to calculate losses in flow through pipes. 

BY Er. Ajay Rana | Er. Nishant Kumar "Comparative CFD and Simulative Analysis of Flow Behaviour to Calculate Losses in Different Geometrical Pipes"

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019,

URL: https://www.ijtsrd.com/papers/ijtsrd23381.pdf

Paper URL: https://www.ijtsrd.com/engineering/mechanical-engineering/23381/comparative-cfd-and-simulative-analysis-of-flow-behaviour-to-calculate-losses-in-different-geometrical-pipes/er-ajay-rana

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Design and Analysis of Pedal Box with Braking System

A design process for an automotive pedal box system is presented in this paper. The work begins with a review of research carried out on pedal box system. It is followed by the process of designing a complete pedal box system. Reverse engineering process by using a steel pedal box system by use of MS Plate. The Pedal box design with proper pedal ratio and the use of single brake for both front and rear braking is designed.

BY Md. Hameed | B. Praveen Kumar | B. Rohit | B. Surya Sai | G. Sai Kiran "Design and Analysis of Pedal Box with Braking System"

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019,

URL: https://www.ijtsrd.com/papers/ijtsrd23413.pdf

Paper URL: https://www.ijtsrd.com/engineering/mechanical-engineering/23413/design-and-analysis-of-pedal-box-with-braking-system/md-hameed

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EEG Classification using Semi Supervised Learning

The major challenge in the current brain–computer interface research is the accurate classification of time varying electroencephalographic EEG signals. The labeled EEG samples are usually scarce, while the unlabeled samples are available in large quantities and easy to collect in real applications. Semi supervised learning SSL methods can utilize both labeled and unlabeled data to improve performance over supervised approaches. However, it has been reported that the unlabeled data may undermine the performance of SSL in some cases. This study proposes a three stages technique for automatic detection of epileptic seizure in EEG signals. In practical application of pattern recognition, there are often diverse features extracted from raw data which needs to be recognized. Proposed method is based on time series signal, spectral analysis and recurrent neural networks RNNs . Decision making was performed in three stages i feature extraction using Welch method power spectrum density estimation PSD ii dimensionality reduction using statistics over extracted features and time series signal samples iii EEG classification using recurrent neural networks. This study shows that Welch method power spectrum density estimation is an appropriate feature which well represents EEG signals. We achieved higher classification accuracy specificity, sensitivity, classification accuracy in comparison with other researches to classify EEG signals exactly 100 in this study. To improve the safety of SSL, we proposed a new safety control mechanism by analyzing the differences between unlabeled data analysis in supervised and semi supervised learning. We then develop and implement a safe classification method based on the semi supervised extreme learning machine SS ELM . Following this approach, the Wasserstein distance is used to measure the similarities between the predictions obtained from ELM and SS ELM algorithms, and a different risk degree is thereby calculated for each unlabeled data instance. A risk based regularization term is then constructed and embedded into the objective function of the SS ELM. Extensive experiments were conducted using benchmark and EEG datasets to evaluate the effectiveness of the proposed method. Experimental results show that the performance of the new algorithm is comparable to SS ELM and superior to ELM on average. It is thereby shown that the proposed method is safe and efficient for the classification of EEG signals. 

BY Shivshankar Kumar Yadav | Veena S. "EEG Classification using Semi Supervised Learning"

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019,

URL: https://www.ijtsrd.com/papers/ijtsrd23355.pdf

Paper URL: https://www.ijtsrd.com/engineering/electrical-engineering/23355/eeg-classification-using-semi-supervised-learning/shivshankar-kumar-yadav

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All Terrain Offensive and Defensive Robot

Generally, various risky tasks or certain difficult operations cannot be done completely by humans and thus there is need for change in present era. As robots play vital roles in different fields of industries, medical, colleges, home appliances, military and defence, thus robots can be good and effective option for such difficult purposes. The proposed work is to develop an all terrain robot prototype. The robots which are presently in the market works on simple terrains while this project claims to make a prototype which can work on plain surfaces as well as rough surfaces such as forests, hilly and rocky areas. This project presents a offensive and defensive robot which uses different technologies like Arduino, Android Application, Bluetooth module and Laser Module. It develops a low voltage power supply, low cost and wireless robot prototype which is controlled using microcontroller and android application. 

BY Dr. M. Sampath Kumar | Anchal Mohanty | Meghana Beesu | E. Sai Kiran "All Terrain Offensive and Defensive Robot"

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019,

URL: https://www.ijtsrd.com/papers/ijtsrd23370.pdf

Paper URL: https://www.ijtsrd.com/engineering/mechanical-engineering/23370/all-terrain-offensive-and-defensive-robot/dr-m-sampath-kumar

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IOT Based Smart Cities

Since the development of advanced metering and digital technology, Smart City has been equipped based on things IOT in different electronic devices, and therefore smarter than before. The purpose of this paper is to carry out the concept of smart cities and their motivation and application of a comprehensive review. In addition, the survey describes the intelligent networking technology and smart cities and major components of urban functions. This also explains the major challenges and experiences around the world. 

BY Mukesh Kumawat | Mr. Durgesh Kumar | Dr. Garima Mathur "IOT Based Smart Cities"

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019,

URL: https://www.ijtsrd.com/papers/ijtsrd23246.pdf

Paper URL: https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/23246/iot-based-smart-cities/mukesh-kumawat

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Removal of Pb II from Aqueous Solutions using Activated Carbon Prepared from Garlic Waste

The recent study explains about the removal of Pb II ions from aqueous solution using activated carbon prepared from Garlic waste. Garlic peels have been used for the production of Carbon by treating with conc.H2SO4 for metal ions removal. Fourier Transform Infrared Spectroscopy and Boehm titration have been used for various physicochemical characterization of the outcome of activated carbon which proclaimed the presence of oxygen containing surface functional groups like phenolic, lactonic and carboxylic in the carbons. In a batch adsorption process the effect of pH and initial metal ion concentration was calculated. The optimum pH for lead adsorption is found to be equal to 6.The resultant activated carbon showed maximum adsorption capacity of Pb II was 210 mg g 1. The waste material which is used in this work is cost effective and easily available for the production of activated carbon. Hence the removal of Pb II from water using the carbons prepared from Garlic peels can act as possible low cost adsorbents for the removal of Pb II from water. 

BY R. Mary Nancy Flora | Ashok | Ramanathan "Removal of Pb (II) from Aqueous Solutions using Activated Carbon Prepared from Garlic Waste"

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019,

URL: https://www.ijtsrd.com/papers/ijtsrd23365.pdf

Paper URL: https://www.ijtsrd.com/engineering/chemical-engineering/23365/removal-of-pb-ii-from-aqueous-solutions-using-activated-carbon-prepared-from-garlic-waste/r-mary-nancy-flora

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