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Item Proceeding of the International Conference on Electrical, Computer and Telecommunication Engineering (ICECTE-2012)(Faculty of ECE, RUET, 1-Dec-2012) RUET, Faculty of ECEItem 2nd International Conference on Electrical Information and Communication (EICT-2015)(Khulna University of Engineering & Technology, 1-Dec-2015) KUETItem 1st National Conference on Intelligent Computing Information Technology (NCICIT-2013)(CUET, 1-Nov-2013) CUET, Dept. of Computer Science and EngineeringItem International Conference on Mechanical, Industrial and Materials Engineering 2013 (ICMIME2013)(Rajshahi University of Engineering & Technology, 1-Nov-2013) RUET, Dept. of Mechanical EngineeringItem Digital Design of Photoplethysmogram (PPG) based Cardiovascular Disease Classifiers(CUET, 1-Oct-2023) Chowdhury, AdittaPhotoplethysmogram is an optically obtained signal working based on theItem NONLINEAR ACOUSTIC WAVE PHENOMENA IN MAGNETIZED COLLISIONLESS RELATIVISTIC PLASMAS(CUET, 1-Sep-2024) Barua, SagarThe thesis investigates the nonlinear propagation of ion-acoustic solitons (IASs) within aItem PROPAGATION OF ION ACOUSTIC SOLITON AROUND THE CRITICAL VALUES OF ANY SPECIFIC PARAMETER IN UNMAGNETIZED COLLISIONLESS RELATIVISTIC PLASMAS(CUET, 1-Sep-2024) Rahman, Md. ObaidurThe main purpose of the present work is to investigate how electrostatic plasma parametersItem A review of flow and heat transfer in rotating microchannels(IUT, Gazipur, 2-Mar-2012) Pratanu Roya, N.K. Ananda,*, Debjyoti BanerjeeaRotating microchannels are integral part of centrifugally actuated miniaturized microfluidic devices, which have important applications in chemical analysis and biomedical diagnostics. As the field of centrifugal microfluidics continues to evolve, it is becoming imperative to understand the fundamental principles of fluid flow inside microchannels under the influence of centrifugal and Coriolis forces. These forces arise as a consequence of expressing the governing equations in rotating Eulerian reference frame and change the flow pattern significantly from the symmetric parabolic profile of a non-rotating channel. In this paper, we have summarized the recent advances in the area of fluid flow and heat transfer applications in radially rotating microchannels. A review of experimental and numerical studies available in the current literature is performed and issues with the applicability of analytical correlations for conventional macro-sized channels to describe the microscale flow phenomena have been discussed. From this state of the art review, it is evident that further systematic investigations are needed for a clear understanding of the transport mechanism associated with the flow and heat transfer inside rotating microchannels.Item An Integration of Planar Cavity-Backed Antenna with Artificial Magnetic Conductor in the Application of 2.4 GHz WBAN Application(CUET, 2-Nov-2023) Murshed, Abu HenaA high-gain array antenna is proposed using cavity-backed technology with the help of Substrate Integrated Waveguide Technology. The joint combination of both patch and the cavity-backed antenna is also known as a hybrid combination. Such types of antennas allow bandwidth enhancement and further division of patches to allow high gain and low cross-polarization behaviour. The whole patch antenna is further divided and based on the number of array elements in the patch, four array antenna cases have been proposed. A comprehensive investigation of them is presented. The proposed antenna operates at Ku-band, showing linearly polarized wave in TE101 mode and this hybrid combination provides several advantages. First, it has the advantages of a cavity-backed antenna and the conventional slot antenna. Second, an antenna is more compact. Third, it contains a much simpler matching network. In addition, being a member of the planner waveguide family, the proposed antenna also possesses a low profile and allows easy integration with the planner circuit. An exact representation of parameters of all antennas that have emerged during the designing course helps to grasp the sense of designing such kinds of hybrid array antenna of planner waveguide technology. Later, the proposed antenna is verified experimentally and exhibits a satisfying agreement with the data found during numerical simulation. The antennae’s simulated parameters were investigated with the help of CST (computer simulation technology) and HFSS (high frequency structure simulator) simulation software in microwave momentum mode.Item An Integrated Approach for Supply chain Optimization Using Machine Learning Techniques(Chittagong University of Engineering and Technology, 2-Sep-2024) Faisal, S.M.FahimIn the modern world, supply chains completely rely on data to function properly underItem AN INTEGRATED APPROACH FOR SUPPLY CHAIN OPTIMIZATION USING MACHINE LEARNING TECHNIQUES(CUET, 2-Sep-2024) Faisal, S. M. FahimIn the modern world, supply chains completely rely on data to function properly under risk and uncertainty. Supply chain risk optimization is a process that involves identifying, assessing, and managing potential risks within a supply chain network to minimize disruptions. A machine learning analytics model of supply chain risk optimization uses data analytics and machine learning algorithms to understand and assess supply chain risks. Out of many types of risks involved in the supply chain, late delivery risk is the most common, and a lot of attention has been paid by researchers in this regard. The work presented in this thesis utilizes the DataCo Supply Chain dataset. Out of many risks, late delivery and fraud detection are considered in this research work to optimize the risks associated with the supply chain. In total, 15 different machine learning classification algorithms along with two hybrid algorithms are implemented and compared. The better performing hybridized classification algorithm is created in this paper combining the Multi-Layer Perceptron Classifier, Random Forest, and Extra Trees Classifier is put to the test. The hybrid algorithm outperforms all the algorithms and shows an accuracy of 99.45% and 99.15% for late delivery status prediction and fraud detection respectively. In the later part of the thesis, Deep Reinforcement Learning algorithms have been implemented for supply chain pricing policy optimization. The unique factor is that real-time data from an online marketplace in Bangladesh is used in this regard. Deep Q Network and State-Action-Reward-State-Action algorithm have been used, performance-wise Deep Q Network algorithm performed better and it achieved 19% more profit than constant price optimization. The overall work done in this thesis provides a solid foundation of integrated supply chain optimization by which supply chain managers can act proactively and can get benefit.Item A Vision Based Three-Layer Access Management System with IoT Integration(EWU, 3-May-2019) Hossain, Nafize Ishtiaque; Galib, Ali Reza; Mofidul, Raihan Bin; Sarker, Dhiman KumarIn developing countries, traditional accessItem Path and Partner Selection in Unstructured Resource- Constrained Environments Based on Node Psychology in the Context of IoT(EWU, 3-May-2019) Debi, Tanusree; AssaduzamanInternet of Things (IoT) is the network of the hugeItem Converter based Frequency Adjustment and Protection of Grid-tied Wind Farm(EWU, 3-May-2019) Ahmad, Kanij; Mohammad, Nur; Quamruzzaman, MuhammadFrequency adjustment and protection of a windItem Chapman-Kolmogorov Relation Based Median String Algorithm for DNA Consensus Classification(EWU, 3-May-2019) Kaysar, Mohammad Shibli; Khan, Mohammad IbrahimConsensus string is the most frequent commonItem An Efficient CZTS Solar Cell from Numerical Analysis(EWU, 3-May-2019) Ahamed, E.M.K. Ikball; Gupta, A.K. Sen; Qamruzzaman, M.; Matin, M.A.The Copper Zinc Tin Sulfide (CZTS) isItem A Modified Naïve Bayesian-based Spam Filter using Support Vector Machine(EWU, 3-May-2019) Hossain, Md. Sabir; Zubair, Md.; Rahman, Mohammad Obaidur; Patwary, Muhammad Kamrul Hossain; Rajib, Md. Golam SarwarThe ever-growing problem which is threatening theItem Temporal Variables Disorder of The Gait Cycle in Parkinson’s Disease(EWU, 3-May-2019) Dewanjee, Adharaa Neelim; Hossain, Quazi Delwar; Arefin, Mohammed ShahriarThe biometric method which is involved withItem Design & Implementation of Voice Command Based Bipedal Surveillance Robot(EWU, 3-May-2019) Das, Himel; Chakraborty, Himel; Chowdhury, Md. Sarwar UddinSurveillance of international border areas,