448 research outputs found
Application of nature-inspired algorithms and artificial intelligence for optimal efficiency of horizontal axis wind turbine / Md. Rasel Sarkar
No full textSince wind power is directly influenced by wind speed, long-term wind speed forecasting (WSF) plays an important role for wind farm installation. WSF is essential for controlling, energy management and scheduled wind power generation in wind farm. With this aim, a number of forecasting methods have been proposed in different studies till now, among many soft computing-based approaches are the most successful ones as they offer high accuracy as well as application simplicity. Among them, artificial neural networks (ANN) have drawn a major attention and ANNs can make any complex nonlinear input-output relationship by just learning from datasets given to it regardless any discontinuity and without any extra mathematical model.
It is found that past studies used Nonlinear Autoregressive (NAR) and Nonlinear Autoregressive Exogenous (NARX) Neural Network (NN) for wind speed forecasting. There have two most uses activation function namely tansig and logsig. The essence of this study is that it compares the effect of activation functions (tansig and logsig) in the performance of time series forecasting since activation function is the core element of any artificial neural network model.
On the other hand, blade design of the horizontal axis wind turbine (HAWT) is very significant parameter that determines the reliability and efficiency of a wind turbine. It is important to optimize the capture of the energy in the wind that can be correlated to the power coefficient (�436�45D) of HAWT system. Several researchers have reported different optimization methods for blade parameters such as Blade Element Momentum theory (BEM), Computational Fluid Dynamics (CFD) and Supervisory Control and Data Acquisition (SCADA) system. There is no particular study which focuses on the optimization and prediction of blades parameters using natural inspired algorithms namely Ant Colony Optimization (ACO), Artificial Bee Colony (ABC) and Particle Swarm Optimization (PSO) and Adaptive Neuro-fuzzy Interface System (ANFIS) respectively for optimal power coefficient (�436�45D ). In this study, the performance of these three algorithms in obtaining the optimal blade design based on the �436�45D are investigated and compared. In addition, ANFIS approach is implemented to predict the �436�45D of wind turbine blades for investigation of algorithms performance based on Coefficient Determination (R2) and Root Mean Square Error (RMSE).
Instead, in order to produce maximum wind energy, controlling of various parts are needed for medium to large scale wind turbines (WT). This study presents robust pitch angle control for the output wind power model in wide range wind speed by proportional-integral-derivative (PID) controller. In addition, ACO algorithm has been used for optimization of PID controller parameters to obtain within rated smooth output power of WT from fluctuating wind speed. The proposed system is simulated under fast wind speed variation and its results are compared with conventional PID controller and Fuzzy-PID to verify its effeteness. The proposed approach contains several benefits including simple implementation, tolerance of turbine parameter or several nonparametric uncertainties. Robust control of the generator output power with wind-speed variations can also be considered as a big advantage of this strategy
Development of a Laboratory Scale Drainage Wastewater Treatment Plant for Khulna Municipality
No full textThis thesis is submitted to the Department of Civil Engineering, Khulna University of Engineering & Technology in partial fulfillment of the requirements for the degree of Master of Science in Civil Engineering, August 2017.Cataloged from PDF Version of Thesis.Includes bibliographical references (pages 101-106)Cities in developing countries are experiencing unparalleled growth and rapidly increasing water supply and sanitation coverage that will continue to release growing volumes of wastewater. Wastewater is increasingly being used for irrigation in urban and peri-urban agriculture, and even in distant rural areas downstream of the very large cities. The present study was conducted to analyse municipal wastewater quality parameters of the existing drainage outlets over Mayur River around Khulna city and to develop a laboratory scale treatment plant for safe disposal and prevent environmental pollutions. To fulfil the purpose of the research, wastewater samples from three municipal drain outlets were collected and analysed for selecting treatment system and the evaluation of effluent’s suitability for irrigation use as well as safe disposal into surface water bodies. From the analysis of physico-chemical characteristics of wastewater, it can be seen that pH, EC, BOD, COD, alkalinity, hardness, chloride, nitrate and sulfate values were not fully satisfy the irrigation standard limit as the wastewater was highly polluted. The BOD and COD concentration of wastewater sample were varied from 57-226 mg/l and 320-435 mg/l respectively and the total coliform ranged from 70000-98050 N/100ml. Chloride and hardness values were of high range as the collected samples were heavily polluted by organic matter and microorganisms. Therefore, a laboratory scale treatment technology has been developed for the treatment of this wastewater. Treatment technologies adopted are primary sedimentation followed by aeration, chemical precipitation and filtration. In treated wastewater BOD5, COD and TDS were found to be in the range of 40-115 mg/l, 160-256 mg/l and 1356-1500 mg/l respectively. These test results suggest that the performance of the developed treatment plant was not adequate to fulfil the acceptable limit (ECR'97) for safe disposal into surface water bodies. Based on preliminary treatment results, some modifications of developed laboratory scale treatment plant were done by activated sludge process followed by granular media filtration. As a result, the final BOD, COD and TDS concentration of effluents were found 1.38-1.78 mg/l, 32-128 mg/l and 590-1667 mg/l respectively which satisfy ECR'97 standard limits for safe disposal into inland water bodies. Comparing with national (ECR'97) and international (FAO'85) wastewater quality standards, the effluents of modified treatment plant may be reused for irrigation purposes that would be able to meet the increasing water demand for the farmers and can be safely disposed into the surrounding water bodies of Khulna city.Md. Rasel SheikhMaster of Science in Civil Engineerin
WAYS OF MAKING EFFECTIVE AND SAFE VACCINES AGAINST SARS-CoV -2
No full textMd. Selim Reza*1,2, Farzana Mim2, Dr. Mohammad Rezaul Quader3,Dr. Mohammad Jahidur Rahman Khan4, Md. Sabir Hossain2, Kazi Rasel Uddin2, Salina Akter2and Dr. Sharmin Rahma
sj-docx-1-pie-10.1177_09544089221111584 - Supplemental material for Optimization of hydroxyapatite powder mixed electric discharge machining process to improve modified surface features of 316L stainless steel
No full textSupplemental material, sj-docx-1-pie-10.1177_09544089221111584 for Optimization of hydroxyapatite powder mixed electric discharge machining process to improve modified surface features of 316L stainless steel by Mohd Danish, Md Al-Amin, Ahmad Majdi Abdul-Rani, Saeed Rubaiee, Anas Ahmed, Fatema Tuj Zohura, Rasel Ahmed and Mehmet B Yildirim in Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering</p
sj-docx-2-pie-10.1177_09544089221111584 - Supplemental material for Optimization of hydroxyapatite powder mixed electric discharge machining process to improve modified surface features of 316L stainless steel
No full textSupplemental material, sj-docx-2-pie-10.1177_09544089221111584 for Optimization of hydroxyapatite powder mixed electric discharge machining process to improve modified surface features of 316L stainless steel by Mohd Danish, Md Al-Amin, Ahmad Majdi Abdul-Rani, Saeed Rubaiee, Anas Ahmed, Fatema Tuj Zohura, Rasel Ahmed and Mehmet B Yildirim in Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering</p
Developing an inventory management application using MERN stack
No full textEfficient inventory management is vital as businesses grow, yet many in Asia still rely on outdated manual methods like spreadsheets, which are error-prone and lack scalability. Modern inventory management systems offer centralized, real-time solutions to streamline operations across multiple branches.
The Purpose of this thesis project was to modernize and streamline the manual processes by developing an updated inventory management system that ad-dresses the limitations, providing real-time tracking, multi-branch support, and automation.
The MERN stack (MongoDB, Express, React, Node.js) was chosen for building the proposed solution and by using it, organizations can streamline their inventory processes and mitigate operational challenges associated with inventory control and resource management. Small start-ups seeking scalable inventory management solutions, mid-sized enterprises aiming to optimize resource allocation, and large corporations striving for enhanced operational efficiency can all find value in the outcomes of this research.
In this project, Rasel handled the backend development using Node.js, while Lubna focused on the frontend development with React.js. Backend testing was performed using Postman to ensure the server-side functionality was working as expected. The MongoDB database was used locally for data storage and testing. After completing the backend, the server was uploaded to GitHub, from where Lubna pulled the changes to work on the frontend. Once the frontend was updated, changes were pushed back to GitHub for further integration
Parallel session 5 : Institutional management
No full textPresented Titles: Comparing Institutional and Cultural Dynamics in University Governance in Hong Kong, Macau and Taiwan [Author: William Yat Wai Lo] Institutional Responses and Management During COVID-19: A Comparative Analysis of Universities from Canada, China, and the USA [Authors: Michael O’Shea; Leping Mou; Lu Xu; Ross Aikins] COVID-19, a New Driver to Optimise China’s Transnational Higher Education? [Authors: Huili Si; Miguel Antonio Lim] Challenges, Opportunities and Responses to and by Higher Education Institutes Amid the COVID-19 Pandemic [Author: Rasel Hussain] Navigating Novel Challenges in Teaching and Learning: Experience from the University of Hong Kong [Author: Ian Holliday
BengaliEmpatheticConversationsCorpus : A Comprehensive Bengali Language Dataset for Mental Health Counseling
No full textThis is a corpus of empathetic conversations between counselors and patients. The dataset consists of 38,235 query answers with two more features such as topic, and question title. In a line, the corpus consists of 4 columns and 38,235 rows. The name of the columns are-1. "Topic",2. "Question-Title",3. "Question" and4. "Answers". As there are no datasets available of emphatic response in Bengali language, we have created the dataset from some other corpus in other languages such as English, Arabic named counsel-chat and arabic-empathetic-conversations (links given in the related links section) and more importantly, we have generated some more conversations from real counselling conversations from various sources. The selected corpus are publicly available. We have translated the corpus into Bengali and processed the corpus manually into usable such as by removing HTML tags, unusable characters and many more and finally created a noble dataset. According to the author, this is the first and largest corpus of emphatic conversation in Bengali, though it has some limitation. This will help researchers to do research in Bengali text more specifically in researching in mental health
The Catalyst: UIS Research Review, Issue 3
No full textThe Catalyst is a publication by the Research Society at UIS that highlights student research at the university. This issue includes Hamza Azhar and his research with Md Rasel Al Mamun, Phishing Attack Protection Motivation
Dynamics of corn dry matter content and grain quality after physiological maturity
No full textDelayed corn (Zea mays L.) harvest after physiological maturity (PM) is a universal practice in the U.S. Corn Belt to reduce grain drying cost. However, corn yield is speculated to be lost due to kernel dry matter loss from seed respiration. We evaluated the impact of in‐field dry down on corn dry matter content and grain quality after PM at two locations in Iowa during 2016 and 2017. Each site‐year consisted of two planting dates and three hybrids where ears were collected six to eight times from PM to harvest. Regardless of site‐year and hybrid, grain moisture decreased and test weight increased linearly with harvest dates and plateaued, on average, at 118 g kg–1 moisture and 752 kg m–3 test weight. Test weight was strongly associated with grain moisture. The standard test weight of 722 kg m–3 coincided with calendar dates around the first to second week of October. Kernel weight was unchanged and ear loss from lodging was minimal across harvest dates but differed among hybrids for each harvest date. These differences were not influenced by hybrid relative maturity (RM). Grain protein, oil, and starch concentrations were almost unchanged between PM and harvest though they were affected by the main and/or interaction effects between harvest dates and hybrids for most site‐years. Results suggest that corn can be harvested at any time after PM without any dry matter and quality penalties and harvest should be done based on grain moisture and standard test weight to minimize in‐field grain loss.This article is published as Parvej, Md Rasel, Charles R. Hurburgh, H. Mark Hanna, and Mark A. Licht. "Dynamics of corn dry matter content and grain quality after physiological maturity." Agronomy Journal (2020). doi: 10.1002/agj2.20042.</p
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