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|| Announcement ! || * CALL FOR PAPERS * Volume.6, Issue.1, March, 2022 is OPEN (Deadline for manuscript submission is March 25, 2021) < ESTIRJ-Engineering Science and Technology International Research Journal is scholarly blind peer review multidisciplinary International Journal (ISSN: (e) 2520-7393 (p) 2521-5027)||

ESTIRJ Volume 5, Issue4  Dec, 2021

Paper 1: EFFECT OF NATURAL QUARTZ ON THE MECHANICAL PROPERTIES OF GRP PIPES FOR WATER TRANSMISSION PIPELINES (1-5)

Abstract: Glass fiber reinforced polymer (GRP) pipe has great advantage to comparison of metallic and concrete pipe for transmission pipeline. GRP pipe is the sub-class of composite material. This paper presents, an investigation on effect of Quartz sand on the mechanical properties of composite materials. The study evaluate the tensile strength of natural quartz sand and Import quartz sand sample which manufactured by Hand lay-up method. The results demonstrate that the maximum value of Natural quartz sand improved prominently from 153 to 160 N/mm2 compared to the value of Import quartz sand from 116 to 131 N/mm2 at 38 wt./wt. %. X-ray diffraction results reveal its crystallographic confirmation as well. Moreover, scanning electron microscope (SEM) image shows that natural quartz sand contains angular shape and fine Nano particles dispersion. While, import quartz sand contains uniform shape and coarse particle dispersion.

Author 1: Aashir Iqbal
Author 2: M. Waseem Akhter
Author 3: Mudassir Ali Memon

Keywords: Pipe, Sand, Tensile strength, Scanning electronic microscope, X-ray diffraction

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Paper 2: CARBON FOOTPRINT ANALYSIS & PREDICTION: A CASE STUDY OF MEHRAN UNIVERSITY OF ENGINEERING & TECHNOLOGY, PAKISTAN (6-10)

Abstract: The last few decades have witnessed a progressive increase in carbon footprint emissions. There are different factors raise carbon footprint. Two such factors are plastic and paper, the use of which is increasing in our daily lives. Different strategies are followed by organization on a global scale to maintain their carbon footprint, but the strategies aimed at plastic and paper for greenhouse gas mitigation have not been fully explored. This study focuses on the carbon footprint generation for plastic and paper used by five departments of Mehran University of Engineering and Technology, Jamshoro. This study uses the data from 2017-2021 to predict the carbon footprint for the next five years based on plastic and paper consumption.

Author 1: Uroosha Memon
Author 2: Areej Fatemah Maghji
Author 3: Mohsin Ali Memon

Keywords: Carbon Footprint, Carbon Footprint Forecasting, ARIMA, Global Warming, Greenhouse Gas Emissions.

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Paper 3: PERFORMANCE ANALYSIS OF MULTIPLE DATA TYPE DISCRETE SYSTEM THROUGH FLOW PROCESS (11-15)

Abstract: The evaluation of queueing system flow period and service process is a unique and influential concept for analyzing a flow period where every arriving data packet at any value in a system. The service and flow process evolution graphs are constructed and demonstrated in this study to calculate the time it takes for a data packet to flow in a finite capacity mechanism for queueing in discrete time with geometrically dispersed arriving data packets. We calculate the probability of totally possible preliminary states for an information packet to enter and the flow procedure to begin. We used simulation data to validate the derived analytical conclusions for probability mass function of individual beginning state also the whole probability mass function. Finally the structure of this paper in a whole scene using the 3D modelling system.

Author 1: Maida
Author 2: Wajiha Shah

Keywords: Queuing System, Flow process, Service process, Probability mass function.

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Paper 4: DOCUMENTATION AND MANUAL CONSERVATION STRATEGIES FOR THE STANDING STRUCTURE OF PACCA FORT HYDERABAD SINDH PAKISTAN(16-23)

Abstract: Pacca Qila is a first class monument of 18th century, the wall is disintegrated from various spots and at some huge losses are recorded. There are various factors affecting the structure of fort such as human occupants, natural and environmental effects,can further deteriorate the Pacca Fort. In order to save this monument urgent conservation works such as documentation and conservation of fort’s main gate and fortification wall needs to be done. In order to help the authorities an immediate Conservative plan and a project is required.

Author 1: Ar.Rafia Rajper
Author 2: Dr.Sabeen Qureshi

Keywords: Documentation, Manual conservation, Pacca Fort Hyderabad.

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Paper 5: ANALYSIS OF CHANNEL ESTIMATION TECHNIQUES IN MIMO-OFDM SYSTEM (24-30)

Abstract: The reception of the higher data rates, the better utilization of available bandwidth, and the reliable communication demand a better technology for the end users. The modern wireless MIMO-OFDM system is the answer for such a technology. In order to achieve these benefits, the channels of MIMO-OFDM system have to be estimated for getting the accurate channel state information. For channel estimation, different techniques like Pilot, Blind and Decision Directed based estimation techniques, are used. But the channel estimation with Pilot Symbols is selected for the purpose of analysis for this research paper. Methodology used for the analysis is such that different parameters are initialized first, and then processed on MATLAB. When the transmitter sends the data streams, it gets distorted on its way to the receiver due physical properties of the channel. Pilot symbol based channel estimation techniques like LS and MMSE are used to estimate the channel with the help of BER and SNR functions. These functions are affected by the Pilot Symbols and the Channel Taps. As the size of Pilot Symbols or Channel Taps is increased, the BER is also increased or decreased, respectively. So, it can be concluded that estimation of channels in MIMO-OFDM system is of utmost importance for effective performance of the system.

Author 1: Jameel Ahmed
Author 2: Muhammad Mujtaba Shaikh
Author 3: Kelash Kanwar
Author 4: Mujeeb Ur Rehman Laghari

Keywords: MIMO, OFDM, Channel Estimation, Pilot Symbols LS, MMSE

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Paper 6: NON-INVASIVE EEG BASED FEATURE EXTRACTION FRAMEWORK FOR MAJOR DEPRESSIVE DISORDER ANALYSIS (31-37)

Abstract: Around the world, depression and other behavioral health disorders are serious public health concerns. Persistent behavioral health issues have a wide range of consequences that affect people on a personal, relational, cultural, and social level. Major depressive disorder (MDD) is a mental illness that affects people of all ages around the world. It has grown into a major global health issue as well as an economic burden. Clinicians have traditionally used a variety of medications to limit the growth of this disease at an early stage. The goal of this research is to improve depression diagnosis by altering electroencephalogram (EEG) signals and extracting the Differential Entropy (DE) and Power Spectral Density (PSD), using machine learning and deep learning techniques. This study analyzed the EEG signals of 30 healthy people and 34 people with Major Depressive Disorder (MDD). K-nearest neighbors (KNN) had the highest accuracy among machine learning algorithms of 99%, while Support vector machine (SVM) had achieved 95% accuracy. The developed Deep Learning approach, convolutional neural network (CNN), achieved 99% accuracy. With these promising results, this study establishes the viability of EEG-based diagnosis of MDD.

Author 1: Nayab Bashir
Author 2: Sanam Narejo
Author 3: Bushra Naz

Keywords:Major Depressive Disorder, electroencephalogram, K-Nearest Neighbors, Support Vector Machine, Convolutional neural Network, Power Spectral Density, Differential Entropy.

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Paper 6: FLOW PROCESS ANALYSIS OF TWO TYPE DATA HAVING PRE-EMPTIVE PRIORITY TECHNIQUE (0-000)

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Author 1: Maida
Author 2: Wajiha Shah

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ISSN: (e) 2520-7393
(P) 2521-5027

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