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169 articles for “MS Based.”
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Roles and Responsibilities of Verification Language, Verification Methodology and Verification Tool for Design Verification of a DUT
Abstract: Verification of a design is as important as the design itself to make it work in a practical scenario. Verification phase is an important phase in System on Chip (SoC) design cycle and used to take 70% to 80% of the total design time. A verification environment may be prepared simply using a Hardware Verification Language (HVL) only without using any methodology or using a HVL with verification methodology. The …
Published in Journal of VLSI Design Tools and Technology · Vol. 5, Issue 3, 2015 · pp. 114–121 Read article
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Enhancing Climate Literacy of Urban Poor Women through ICTs
Abstract: Climate change as a threat to sustainable development is expected to adversely affects various aspects of life especially in the developing countries. According to United Nations reports 1.1 billion people (one in six of the world’s population) lack access to improved drinking water, and 2.4 billion lack sanitation. As a result, the burden of death and disease related to inadequate water is high, with an estimated mortality of 3 million …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 0, Issue 0, 2012 · pp. 105–113 Read article
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Predicting the Rice Production of Bangladesh by Machine Learning Technique
Abstract: Bangladesh is an agricultural country and its economic condition largely depends on agriculture. The country produces much agricultural merchandise like rice, jute, wheat, onion, chilly, banana, garlic, ginger, pulse and so on. However, rice (Oryza Sativa) is produced most widely all over the country. Moreover, United States Department of Agriculture (USDA), 2017 estimate that the rice production of Bangladesh is 34.7 million metric tons for the period 2017–2018 and the …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 7, Issue 3, 2018 · pp. 7–13 Read article
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Fabrication of Belt for Backpack for Students to Reduce the Musculoskeletal Disorders using ABS material 3D Printing
Abstract: In the present study, the design and development of a composite-based belt aim to reduce the excessive burden on the backs of schoolchildren, which often leads to musculoskeletal disorders (MSD). The belt is designed using CATIA 3D modeling software and fabricated on an FDM-based 3D printer with ABS polymer. The design process focuses on addressing physical stress caused by heavy backpacks and prolonged use of electronic devices, both of which …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 1110–1117 Read article
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Managing the Resources of LTE Networks using Multi-orthogonal Access based on Deep Learning
Abstract: AbstractOne of the topics discussed in telecommunications systems is joint subcarrier and power allocation in the uplink of an NOMA system that we study. Due to this reason a novel radio resource management framework is presented based on code-domain and a deep learning algorithm for uplink and downlink transmissions, such that the neural network is trained by Bayesian regularization back propagation and the mean squared error )MSE) are the training …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 7, Issue 2, 2020 · pp. 19–26 Read article
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GSM based Remote Monitoring of Waste Gas with the Implementation of MODBUS Protocol and GPS
Abstract: Industries release many toxic gases like CO2 etc., above the specified limit. This is a matter of serious concern as it affects people’s health. A design has been developed for measuring and monitoring the amount of gas (particularly CO2) from any factory site. This will be of help in case when a factory or chimney releases harmful gases cross the permissible limit. An alarm will be sent to the operator’s …
Published in Recent Trends in Electronics Communication Systems · Vol. 4, Issue 1, 2017 · pp. 22–28 Read article
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Ameliorated perceptive approach to MSRCR algorithm for image augmentation
Abstract: Retinex theory was developedby Edwin H.Land in the year of 1964.Retinex based image enhancement system improves the quality of image. The dominant assumption of retinex theory is that the image can be decomposed in to two factors, one is Reflectance and the other one is illumination. It increases the human perception of information. The color image enhancement methods are used to increase the contrast of color images. The human visual …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 5, Issue 1, 2018 · pp. 17–26 Read article
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Card Fraud Detection Using Artificial Neural Network and Multilayer Perception Algorithm
Abstract: Fraud has posed a significant challenge for merchants, especially in the online business sector, over the course of many years. This is primarily due to the advancements in technology that have made credit card transactions a common method of payment. Credit card fraud refers to the unauthorized use of a credit card by an individual for personal purposes, without the owner's consent and with no intention of paying for the …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 1, Issue 1, 2023 · pp. 21–30 Read article
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Epitope-Based Peptide Vaccine Design Against Nuclear Protein EBNA3C of Epstein-Barr Virus: An Approach to Treat Multiple Sclerosis
Abstract: Almost 95% of the world’s population is affected by the Epstein-Barr virus (EBV); it is an oncogenic virus of herpes virus family. The nuclear protein Epstein-Barr nuclear antigens (EBNA)-3C of EBV are related to multiple sclerosis (MS) which is an inflammatory disease of the nervous system. Regardless of multiple occurrences of infections due to EBV and shortage of licensed antiviral drugs, there is not much advancement on vaccine designed for …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 9, Issue 1, 2019 · pp. 62–72 Read article
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Machine Learning-Based Channel Estimation in 5G, Beyond-5G, and 6G Networks: Recent Advances and Future Directions
Abstract: Accurate channel estimation is one of the most fundamental challenges in modern wireless communication systems. In fifth- generation (5G) New Radio (NR) and emerging sixth-generation (6G) networks, precise knowledge of the wireless channel is essential for achieving reliable data transmission, high spectral efficiency, and low Bit Error Rate (BER). Conventional estimation techniques such as Least Squares (LS) and Minimum Mean Square Error (MMSE) rely on mathematical channel models and predefined …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 13, Issue 2, 2026 Read article
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Enhancing Energy Storage and Optimization of Distributed Energy Resources Using a Hybrid SWOA-MSNN Approach
Abstract: The fast growth of Distributed Energy Resources (DERs) like solar photovoltaics, wind power, and energy storage devices requires enhanced optimization methods to manage energy efficiently and stabilize operations in contemporary smart grids. A significant challenge is the dynamic optimization of the energy storage systems (ESS) and the distribution of the energy among DERs in conditions of uncertainty of loads and generation. The conventional control and optimization methods generally find it …
Published in International Journal of Advanced Control and System Engineering · Vol. 4, Issue 2, 2026 Read article
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A Comprehensive survey of robust image quality metrics for satellite imagery
Abstract: Satellite imagery is essential for applications like environmental monitoring, urban development, precision agriculture, defence surveillance, and disaster response. The reliability of these applications is closely tied to the quality of the captured images, which may be compromised by atmospheric effects, sensor imperfections, compression artifacts, and transmission noise. As a result, accurate image quality assessment (IQA) is essential to ensure trustworthy analysis and informed decision-making in satellite-based systems. The distinctive properties …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 15, Issue 1, 2026 · pp. 7–20 Read article
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Polymer Composite-Integrated Food Waste Management Across the Supply Chain: Quantification, Process Modelling, and Techno-Economic Valorization
Abstract: Food waste produced throughout the global food supply chain constitutes one of the most impactful forms of inefficiency within the current food production system, producing roughly 931 million tons per year and resulting in economic losses above $1 trillion worldwide each year. One aspect that has not been sufficiently studied systematically is how polymer composite materials, such as membrane separation systems, polymer-coated extraction equipment, fiber-reinforced polymer (FRP) biorefinery infrastructure, and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 819–836 Read article
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Simulation of Image Processing and Restoration Through A Base Image Using Matlab
Abstract: Basically, in image processing the main work is done on pixels and its value. Basically, an image is a two-dimensional function f(x, y), where x and y are spatial coordinates. Here, in the present study geometrical transformation is being used for image restoration and processing. Steps are carried some for the result outcome. First the image is read in the algorithm, further the coordinates and pixels are being specified, and …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 8, Issue 1, 2021 · pp. 31–40 Read article
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Total Productive Maintenance in Indian SMEs: Capability Review
Abstract: In developing country like India, SMEs are still struggling for a suitable model for maintenance management. An effort has been made to prepare the pragmatic model of Total Productive Maintenance (TPM) in context of Indian SMEs as they are working with many inherent limitations. 10 companies (participants of Lean Manufacturing Competitiveness Scheme - LMCS project by Ministry of MSME, India) have undertaken for this research with qualitative and qualitative data. …
Published in Journal of Production Research & Management · Vol. 8, Issue 1, 2018 · pp. 37–52 Read article
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Fuzzy Minimum Spanning Tree Problem: A Greedy Algorithm using Quasi-Gaussian Fuzzy Weights
Abstract: The classical Minimum Spanning Tree Problem (MST) deals with determining the spanning tree in a given undirected graph G(V, E) for which the sum of the weights assigned to the edges is minimum. The weights assigned to the edges are real numbers representing parameters like demand, cost, link capacity and distance which are not naturally precise and the uncertainty involved can be modelled using fuzzy numbers. There are several types …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 1, Issue 3, 2014 · pp. 15–22 Read article
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An Analytical Study on Learning Difficulties in Estimation Theory Among Undergraduate Engineering Students
Abstract: Estimation Theory is a critical mathematical foundation for all engineering disciplines, enabling learners to model uncertainty, analyse signals, and derive optimal estimators. However, undergraduate students frequently struggle with its abstract properties, complex derivations, and prerequisite statistical concepts. This study investigates the key learning difficulties faced by students across multiple engineering branches using diagnostic tests, structured questionnaires, and interviews. The findings reveal that students commonly experience challenges related to weak probability …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 1, 2026 · pp. 37–41 Read article
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Split Ring Resonator Based Dual Frequency Microstrip Patch Antenna For Wireless Applications
Abstract: The objective of the work is to design a compact dual frequency microstrip antenna (MSA) at GSM 1800 MHz and ISM (2.4 GHz). The proposed MSA incorporates a rectangular patch with an inverted U slot printed on the top of RT duroid 5880 substrate with thickness of 0.8mm and dielectric constant of 2.2. The dimensions of the patch are optimized as 45x 54 mm2. It is fed by coaxial feeding. …
Published in Journal of Microwave Engineering and Technologies · Vol. 9, Issue 2, 2022 · pp. 1–14 Read article
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Graph Neural Networks for Molecular Scale Property Prediction and Inverse Design of Thermoset Polymer Nanocomposites: A Computational Framework
Abstract: Thermoset polymer nanocomposites exhibit properties that are highly sensitive to molecular scale formulation decisions, yet the vast design space remains largely unexplored because of the high cost of experimental characterisation and fully atomistic simulation. This paper presents TNC GNN, a dual mode graph neural network framework developed for the computational design of thermoset nanocomposite formulations. The forward module employs an attention augmented Message Passing Neural Network with 3D geometric encoding …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Role of MSG (Monosodium Glutamate) in DNA Breaks by Cellular Method: A review article
Abstract: - Monosodium glutamate (MSG) is a generally used food additive to enhance flavors. It has been found that though is one of the most common flavoring agents used worldwide, MSG’s accumulation in the body can cause genomic damages. These genomic damages can be identified through various methods such as Random Amplified Polymorphic DNA polymerase chain reaction (RAPD - PCR). Some herbal extracts have medicinal properties that can initiate DNA repair …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 10, Issue 2, 2023 · pp. 1–5 Read article