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|| Announcement ! || * CALL FOR PAPERS * Volume.5, Issue.2, June, 2021 is OPEN (Deadline for manuscript submission is June 15, 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, Issue1  Mar, 2021

Paper 1: A COMPARATIVE STUDY OF PID CONTROL FOR VTOL BASED UAV SYSTEM (1-5)

Abstract: Unmanned aerial vehicles (UAVs) due to their hovering and vertical take-off and landing, have acquired a lot of interest from researchers. In order to implement UAVs, different techniques and methods are used. QNET VTOL 2.0 board in the field of unmanned aerial vehicles is an important platform designed for NI ELVIS II. In this research a comparative study of PID tunning for QNET VTOL 2.0 board, using LabVIEW is presented. Three tuning methods heuristic(error and trial) method, intelligent tunning using fuzzy logic and ANFIS(adaptive neuro fuzzy inference system) are chosen for comparison on the basis of literature. The proposed PID tunning methods are applied to the existing PID controller for controlling the pitch angle of QNET VTOL 2.0 board. The main purpose of this study is to compare the performance of proposed three tuning methods on the basis of step characteristic (rise time settling time , peak time and maximum overshoot). From the experimental results it is found that implementation of ANFIS has improved the simulation results significantly as compare to the self-tuned fuzzy PID and conventional PID.

Author 1: Mahroona Jawaid
Author 2: Prof. Dr. Arbab Nighat Kalhoro
Author 3: Prof. Dr. Farida Memon

Keywords: UAV; PID; FUZZY LOGIC; ANFIS; VTOL.

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Paper 2: EARLY DETECTION OF TYPE 2 DIABETES USING SUPERVISED MACHINE LEARNING (6-11)

Abstract: Diabetes mellitus is a disease that carries the risk of stroke, renal failure, kidney complications, cardiac disease, peripheral artery disease, and death. There are 3 primary diabetes types: type 1, type 2, and gestational diabetes. type 2 diabetes is the most common and accounts for 90% to 95% of all cases. Type 2 diabetes can be cured if it is predicted timely. Type 2 diabetes is a condition that can be anticipated based on factors such as glucose level, Body mass index etc. The advancement in machine learning proved to ground breaking in the field of medicines a lot of prediction models are in production use for various fatal diseases. In this research early prediction of type 2 diabetes is performed using features such as Pregnancies, Glucose Level Blood Pressure, Skin Thickness, Body Mass Index, Diabetes Pedigree Function and Age . The machine learning algorithms used in this research are Logistic Regression, K-Nearest Neighbor, Support Vector Machine, Decision Tree and Random Forest. The evaluation parameters used in this study are Accuracy, precision, recall, ROC AUC and precision recall curve. The results of evaluation proved logistic regression the best model with accuracy, precision and recall of 80.2%, 75% and 58%.

Author 1: Abdul Qayyum
Author 2: Dr Shahnawaz Talpur
Author 1: Dr. Moazzam Jawaid

Keywords: Diabetes; Machine Learning; PID; Type 2 Diabetes and Supervised machine learning

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Paper 3: HUMAN FRONTAL FACE CONSTRUCTION USING GEOMETRICAL SHAPE ANALYSIS (12-16)

Abstract: Intelligence systems are becoming increasingly interested in recent years. For the purpose of defense systems, numerous intelligence systems have been implemented. Biometric and video monitoring systems are two of the best intelligence systems used for security purposes. When a crime scene happens, these intelligence systems are present to detect suspicious persons. Since this study is about human faces, biometric devices can be used to identify them. Different features such as eyes, noses, and lips can be compared to the original images, and suspicious individuals can be easily identified. The second is a video surveillance device, in which multiple photographs are captured at the time of a crime, but there are two big concerns that arise when the images are taken. One is image quality, which is due to brightness, and the other is the absence of a full frontal human face. This thesis focuses on improving the human frontal face and creating a complete human face from the half of the face that is accessible using geometrical measurements. Geometrical measurements of various extracted facial features are taken using various methods. Face is effectively generated using those measurements. Finally, the original image and the created image are distinguished.

Author 1: Qandeel Zehra
Author 2: Dr.M. Moazzam Jawaid
Author 3: Aqeela Soomro

Keywords: Image Enhancement; Landmarking; Intelligence System; Feature Extraction; Geometrical Measurement

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Paper 4: MALARIA CELLS IMAGE ANALYSIS USING IMAGE PROCESSING FILTERS AND NAÏVE BAYES CLASSIFIER (17-23)

Abstract: Malaria is a most widely spread dangerous blood disease that caused by a mosquito parasite which is called plasmodium. It transmitted into a human’s blood via a female Anopheles mosquito so the life cycle of malaria starts and destroy the RGB cells. It affects pregnant women and 37% of adults and 79% of children under five year’s i.e. taking life of a child at every minute. Symptoms for this disease usually appears in 10 days to 3 weeks after a bite of an infected mosquito. The common symptoms of this disease are fever, headache, vomiting, muscle pain that may reason of death and coma. So In this research work, we propose detection algorithm for malaria disease by using matlab tool. We use image processing filters and techniques to identify the malaria disease along with the Naive Bayes Classifier. In this research, the proposed method detect the normal cell and abnormal cell. Parameters are used like circularity, Area, Perimeter, Mean and also find the number of parasites if cell is normal no parasite found but if cell is abnormal then it will find the number of parasites. The aim of this research is to detect the malaria cell that either it is infected or not and in last we got the efficient results with the high accuracy.

Author 1: Aqeela Soomro
Author 2: Engr. Rizwan Badar Baloch
Author 3: Dr.M.Moazzam Jawaid
Author 4: Qandeel Zehra
Author 4: Nasreen Babar

Keywords: Median Filter, RGB to Gray, Intensity, Feature Vectors, Naive Bayes Classifier.

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Paper 5: PRODUCTION OF BIOETHANOL FROM SUGARCANE BAGASSE AND SUGAR MILL EFFLUENT USING SACCHAROMYCES CEREVISIAE (24-28)

Abstract: : There are plenty of sugar industries available in Pakistan which generates bagasse, mud and effluent that could be utilized to cope with energy crisis and mitigate the pollution as well. This study depicts the potential to use both bagasse supplemented with effluent for the production of biofuels through separate hydrolysis and fermentation. Bagasse was pretreated with NaOH 2%, 5% and 10% concentrations to enhance the reducing sugar under three outstanding groups A, B and C. Each group contains two samples; bagasse with demineralized water and bagasse with effluent. Group-B with 5% NaOH concentration had the highest reducing sugar content i.e. 15.1% and 18.6% respectively. The highest reducing sugar samples (B1 and B2) were used for the fermentation using saccharomyces cerevisiae which is widely used on controlled condition such as pH 5, Temperature 30 ℃ and RPM 300. Ethanol yield form B1 and B2 were recorded as 6.46g/L Bioethanol and 7.84g/L Bioethanol at 48 hours respectively. Notwithstanding, it would be the best approach to reduce the pollution load from ecosystem if sugarcane bagasse and mill effluent use for the production of Bioethanol.

Author 1: Saud Khan
Author 2: Sheeraz Ahmed Memon
Author 3: Shaheen Aziz
Author 3: Sanaullah Arain

Bioethanol, Second generation Biomass, Sugarcane bagasse, Sugar Mill Effluent, Saccharomyces Cerevisiae.

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Paper 6: ASPECT BASED REAL-TIME OPINION MINING FOR ONLINE FEEDBACK OF PRODUCTS AT AMAZON™ (29-34)

Abstract: : : Opinion mining and sentiment analysis are the enhanced techniques in the field of natural language processing to identify what people experience, behave, and gives feedback. Also, how these traits lure other customers in making decisions during the online shopping. Analysis of reviews is very important factor for buyers and sellers. As star-based feedback is no more effective therefore, various proprietary tools and complex analysis of customers’ feedback analysis are already in the digital market. This paper introduces a simple but very relevant approach that encompasses the aspect-based analysis of opinion (reviews/ comments). The study takes data from Amazon™ mainly for cosmetic products. The results show that product performance or rating is very different if, aspects of i) product quality, ii) product packaging, and product shipment are taken into consideration. Aspect based method uses VADER sentiment analysis algorithm. The results show that aspect-based approach for opinion mining can be generally applied to any online store or application. Our approach gives true and effective feedback by categorizing the reviews with positive, negative, and neutral polarities. The results are found to be very promising, relevant, and effective when compared with star-based rating as well.

Author 1: Aasha
Author 2: Adnan Ashraf
Author 3: Manzoor Hashmani
Author 4: Faryal Baloch
Author 5: mmad Hadi Ehsan

Keywords: Aspect-Base, category level, sentiment VADER, Customer Review, quality, packing, shipment, e-commerce

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Paper 7: SENTIMENT ANALYSIS ON PAK-INDO CONTROVERSIES USING INNOVATIVE POLARITIES IN PREDICTIVE MODELING (35-38)

Abstract: : 5th Generation war is all about dealing information against the enemies. Competitors, countries and law-enforcement agencies use social media platforms against their enemies. Due to easy access of large masses to propagate any information or disinformation, the social media is not only shaping but, reviewing the ideas, sentiment, and emotions globally. This also influences not only the regional/ international political setups but is able to enforce the decision-making processes in countries with feeble democratic environment. The terrorists or non-state actors are capable to exploit the sensitive ethnic or religious environment through their propagandas. This research focuses the sensitive region of South Asia for Pak-Indo controversies and sentiments’ analysis of people across the borders. These controversies act as a threat to global-peace due to rising aggression over line-of-control and on social media. The paper investigates and analyzes public opinion of two major controversies seeking global attention as threat to regional peace. Applying the multiple-linear regression model on data obtained from Twitter with variables (dependent and independent) the sentiment analysis was performed for, i) humorous, ii) non-humorous, iii) negative, and iv) positive polarities. The results indicate a very interesting trend in public opinion about these controversies. The paper highlights the need of developing strategies to level the public sentiments for minimizing the hatred that become cause of periodical casualties occurring on both sides. This research encompasses an innovative combination of sentiment analysis using humor and non-humor as dependent variable.

Author 1: Faryal Baloch
Author 2: Adnan Ashraf
Author 3: Sanam Narejo
Author 4: Aasha
Author 5: Mehak Memon

Keywords: 5th Generation war, Pak-Indo conflicts, sentiment analysis, humor and non-humor polarities

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Paper 8: STUDY OF AMINE BASED CO2 ABSORPTION FROM NATURAL GAS(39-46)

Abstract: : A model of Absorption process of amine gas sweetening has been developed though Aspen Hysys to evaluate the performance of the absorption. Operating parameters like pressure, temperature, flow is directly impact on the performance of the absorption. The Performance of the absorption has been investigated through various operating parameters. Absorption Column show great performance by increasing the inlet lean Amine temperature. Likewise, operating parameters, absorbing agents obviously influence on the performance of the absorption column. Different combination of amines has been tested through simulation to evaluate the performance of the absorption. Absorption column show great performance when using different mixture of amines.

Author 1: Syed Yawar Ali
Author 2: Imran Nazir Unar

Keywords: Temperature, Pressure, Absorption, MDEA, Simulation, Absorbing Agents.

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Paper 9: BIOGAS GENERATION AND CHEMICAL OXYGEN DEMAND REMOVAL THROUGH ANAEROBIC TREATMENT OF SPENT WASH DILUTED WITH GREY WATER UNDER MESOPHILIC CONDITION(47-52)

Abstract: : Spent wash is a highly toxic liquid wasted generated by distillation of molasses into alcohol containing high amounts of organic matters that cause the increase in high COD. Discharge of this waste has become the main problems of distilleries unless qualitative procedure is applied to treat it by degradation of organic matter. Anaerobic digestion is best suited treating process for spent wash as biological, environmental friendly and economical which also produces clean source of energy called as Biogas. Sample was collected from treated spent wash as outlet of anaerobic digestion plant as it contains still high COD. Grey water was used as innovation in research to dilute spent wash because of presence of microorganisms in it. Biogas production from co-digestion of chicken manure & buffalo dung with spent wash were used with a calculated ratio in all digesters. The ratio of dung slurry was prepared as 1:3 of buffalo & chicken. Total three formulations were prepared in this research. The batch was consisted of A, B & C digesters respectively. Anaerobic digestion for biogas generation and biogas quality analysis was evaluated under Mesophilic condition (35±2°C). The biomasses (substrates) of buffalo &chicken manures were characterized in terms of Chemical Oxygen Demand (COD), Total Suspended Solids (TSS) and pH before and after co-digestion process. The biogas production was measured on 24 hours basis by water displacement method for (60 days). The maximum Biogas was observed in digester C. Biogas production from digesters A & B were negligible or not sufficient. The generated biogas was sampled from digester-C and analysed through Gas Chromatograph (GC) for methane (CH4) Carbon dioxide (CO2) concentrations. The maximum methane concentration was found in digester “C” as 71% methane and 13.80% carbon dioxide. The significant removal was obtained in C.O.D reduction 80.84 % with the concentration value as 8140mg/l. Results of this research work from digester C showed positive findings as compared to literature outcomes. According to Unicol distillery’s treatment, COD removal is approximately 60%. Whereas this research provides 20% increase in COD reduction and maximum amount of concentrated biogas in terms of Methane.

Author 1: M Waleed Shaikh
Author 2: Engr. Aisha Kousar Abro
Author 2: M Jawad Shaikh

Keywords: Spent Wash, Biogas, Anaerobic Treatment, Grey Water, Chemical Oxygen Demand

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Paper 10: QUANTITATIVE ANALYSIS OF MULTIPLE TYPES OF WASTE GENERATED FROM KADANWARI FIELD TO EVALUATE THE SEVERITY OF ENVIRONMENTAL HAZARDS ON SITE(53-60)

Abstract: : The solid waste generated at surface bodies are capable of damaging the surface commodities at large scale. Indeed, it is very necessary to find a way to evaluate the amount of waste that is being generated at any particular geographical region and there should be an immense solution for disposing the waste. The aim of this study will be to collect data on the current state of environment in the Kadanwari field to observe the impact of company’s activities on the local community and environment. The data that has been taken for the laboratory analysis is taken from 12 departments of Kadanwari field namely; Auto department, Mechanical department, Clinical department, Electrical department, Instrumentation department, Production department, Drilling department, Camp1 and Camp2, Westcon, Project and W/H department. The methodology will be adopting for study is based on qualitative and quantitative characterization of samples from the field. Environmental assessment that is being conducted during the monitoring and evaluation process to define an impact of a project. It must take place when the project is being initiated so at the beginning of the project but after a decision of implementing it.

Author 1: Muhammad Shoaib Khan
Author 2: Dr.Prof Khan Muhammad brohi
Author 2: Dr. Muhammad Safar Korai

Keywords: Department, Environment, Kadanwari field, Hazardous and non-Hazardous, Proximate and Ultimate Analysis

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

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