MIT-World Peace University (MIT-WPU) is a top educational institute located in Pune, India. It is recognized within&nbsp;UGC under Government of Maharashtra Act No. XXXV 2017.&nbsp;

It is part of the MIT group of institutions (established in 1983) which covers 10+ campuses across India and has more than 50,000+ students enrolled across various disciplines at a given point of time. The institute houses 15 schools ranging from Engineering &amp; Technology, Design, Pharmacy, Commerce, Governance among others. It offers undergraduate, postgraduate and PhD programs among different disciplines.&nbsp;

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MIT World Peace University

Engineering and Technology

The construction materials used in thebuilding tall structures are responsible forextremely high carbon emissions. Therefore, toaddress this issue building designers are constantlylooking at alternative sustainable constructionmaterials. A new type of timber called MassTimberas a material for construction is nowattracting the building designers because of itssustainability advantages. Mass-timber is aninnovative type of engineered timber withimproved structural properties making it suitablefor the construction of tall and heavy structures.This paper is intended to study the performance oftall mass-timber buildings under the most severedynamic loading conditions of India. Three modelsof mass-timber buildings are analyzed in ETABSunder the seismic and wind loads according to thedemands of most severe earthquake zone-V andone of the windiest regions at Bhuj, India. It isobserved that the mass participation duringseismic activities is considerably low and the windloads are considerably higher than the seismicloads. It is concluded that with a suitable lateralload resisting structural system mass-timberbuildings can perform adequately.

School of Civil Engineering

Journal of Engineering Sciences

Dynamic Performance of Tall Mass-Timber Buildings

Journal of Emerging Technologies and Innovative Research

Implementing Balance Score Card in small size construction firm:Case study

Dental radiographs do a great deal of work on theevidence of criminal classification. Science deontology is used incrimes that deal with the evidence of a person's separation relatedto dental exposure. Due to the advances in data design and theneed to evaluate more cases by legal professionals, it is importantto use a human evidence framework. Dental radiographs can beclassified as biometric if there are no alternatives to bodybiometrics, for example, palm, finger, iris, face, leg print, and soon. The human body seen using dental radiographs is best undercertain conditions when there are no biometric alternativesbecause the teeth and bones are treated like skin tissues andtissues found in the human body.

School of Electrical Engineering

World University root node

Fulltext

International Journal of Recent Technology and Engineering (IJRTE)

A Machine Learning Access for Person Identification using Dental X-Ray Images

The purpose of this paper is to review Motion Amplification Techniques in video sequences. Various computational techniques are used to visualize, analyze and efficiently represent imperceptible variation in image and video sequences. These computational methods which are used reveal temporal changes in videos which are not visible to the naked eyes. In these techniques standard video sequence is used as an input on which spatial decomposition is applied then temporal filtering is applied. The filtered output is then amplified to expose the invisible content in the input video. This paper contains four techniques which are used for enhancement of temporal variations in the video: 1. Linear Approximation Method, Eulerian Video Magnification (EVM), 2. Phase Based Video Processing 3. Fast Phase Based Video Processing (Riesz Pyramid) and 4. Enhanced Eulerian Video Magnification (EEVM). Using these techniques, it is possible to magnify and see tiny motions and subtle color variations. After review it is observed that, the noise level in EVM technique is more which reduced in EEVM technique using motion analysis and image warping. The other two phase based techniques supports larger amplification factor and better noise performance.

School of Electronics & Communication Engineering

IJFGCN

<a href="http://sersc.org/journals/index.php/IJFGCN/article/view/29174">Comparative Study of Motion Amplification Techniques for Video Sequences</a>

The paper presents a generalized approach for the flow distribution analysis of a natural circulation boiler. The model uses the combination of node and loop equations and the Newton Raphson technique for the solution of the set of equations. Loop equations have been developed for each evaporator tube with the unique driving force and pressure drop of the concerned loop. Node equations are mainly developed for common risers and downcomers. A unique connectivity matrix has been used to correlate each branch flow with loop and node equations. The model is validated by a unique indirect method by comparing the actual water level and calculated water level. The model shows good agreement with experimental data with a maximum of 4% absolute error. The model can be used for the design, analysis, and optimization of the natural circulation network.

School of Mechanical Engineering

Computational Thermal Sciences: An International Journal

Steady-State Flow Distribution Analysis of Natural Circulation in Water Tube Boiler

Remote sensing image scene classification has a wide scope of applications and hence has been receiving remarkable attention. Nowadays, Deep learning (DL) algorithms have seen a massive rise in popularity for remote-sensing image analysis over the past few years. This paper first provides a comprehensive review of the recent progress in remote sensing applications. The existing remote-sensing classiﬁcation methods are categorized into four main categories according to the features they use: manually feature-based methods, unsupervised feature learning methods, supervised feature learning methods, and object based methods[15]. This article then focuses on evaluating the available and public remote-sensing datasets. Finally, a conclusion regarding the current state of art methods and directions for future research are presented.

International Journal of Future Generation Communication and Networking

Review on Deep Learning in Remote Sensing Image Classification

The main aim of this study is to conduct thestructural audit of the Sadhu Vaswani Pul which is a Rail OverBridge, situated in Koregaon Park, Pune and to establish thedisplacement sensors developed in the institution as a reliabletest for structural auditing of the bridge decks. Traditionalmethods of auditing like the Rebound Hammer test and theUltrasonic pulse velocity tests have been considered in this study.Very few methods are available for testing the deck displacementand this problem has been tackled here. The novelty of thisresearch is that the institutionally developed displacementsensors are used for determining the deck displacement of theselected bridge. These sensors have not been used before and noon-site techniques are available to obtain the deck deflectionsunder real-time loading. The displacement test on the decks wasconducted. The critical decks which were determined during theVisual Inspections were tested by the displacement sensors. Atwo-axle truck of 18.5 tonnes was passed over the bridge deckand the displacement readings were recorded at the same time.The displacement reading thus obtained indicated the deflectionof the deck under a uniform rolling load. The displacementsobtained were then validated by the standards given inAASTHO-LFRD. After conducting the above tests, the overallcondition of the bridge was determined and the critical sectionswhich should be repaired were mentioned.

International Journal of Innovative Technology and Exploring Engineering (IJITEE)

Structural Audit of Sadhu Vaswani Pul using Institutionally Developed Displacement Sensors

India is rapidly developing in every aspect now. As aresult of which number of smart cities are now arising. whilebuilding such smart cities major role is played by infrastructuraldevelopment. In this infrastructures, speedy and economicalconstructions are expected to make them more effective. Amongsuch effective construction systems, Flat slab system is the oneand is being widely applied on large scale. Flat slabs are thin solidreinforced concrete slabs which are supported directly by columnswithout beams. Flat slab system is now well adopted forconstructions of high rise multi- storied commercial, residential,institutional buildings. They have adventitious constructive,architectural and economical features including easier formwork,speed of construction, spaciousness, etc. The purpose of thisproject is to study the seismic behavior of Flat Slab Structure fordifferent seismic zones by assessment of Response ReductionFactor using Pushover analysis. Response reduction factor is thefactor by which intensity of seismic waves produced duringearthquake (maximum elastic base shear) can be reduced tocalculate the design base shear. In the project parameters such asbase shear, shear and bending stresses and deflection check in flatslab structure are examined by using ETABS Software

International Journal of Engineering & Advanced Technology

Assessment of Response Reduction Factor of Flat Slab Structures by Push-Over Analysis

The paper emphasizes on the effect of shuttering material on surface hardness and compressive strength of concrete cubes of multiple mix design grade based on rebound hammer and compressive testing machine. American Standard and British Standards codes have mentioned the effect of formwork material on rebound number. But the Indian standard codes have not included it. The mould materials used are Cast iron, wooden and shuttering plywood. Compressive strength and surface hardness of total 108 cubes were found out and the results obtained were represented in graphical format. The paper exhibits result and conclusion based on experimental work.