Search
149 articles for “Measurement Based Optimization”
-
LTE & 5G NR Carrier Aggregation Network Optimization through Advanced Measurement Configuration
Abstract: The ability to merge numerous frequency carriers—component carriers—to increase transmission bandwidth and throughput speeds over what can be achieved with a single carrier is known as carrier aggregation, and it is a crucial technology in 4G LTE and 5G networks. Cellular devices may attain gigabit data speeds by combining carriers from several frequency bands, such as 600 MHz to mm Wave frequencies, to increase downlink and uplink capacity. This study …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 10, Issue 2, 2023 · pp. 35–45 Read article
-
Power Spectral Study of Heart Rate Variability Time Series by the Adaptive Modified Continuous Morlet Wavelet Transform
Abstract: In this paper, a newly developed method referred as adaptive modified continuous Morlet wavelet transform has been proposed to improve the energy concentration in the time-frequency domain. The improvement is achieved by introducing the shape parameter to the Morlet function that is known as modified Morlet function. To make it adaptive, the modified Morlet function was optimized by concentration measure based on automatic determination algorithm. The proposed method was validated …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 6, Issue 2, 2017 · pp. 5–20 Read article
-
STM32 MCU-based System for Testing Parameters of Lithium-Ion Batteries
Abstract: The Automobile manufacturing sector’s fast-paced advancement has raised concerns regarding energy conservation and reduction of emissions. To address this, electric vehicles have become a crucial solution, with lithium batteries as a core component. This paper presents the designing a test system for measuring the parameters of lithium battery, with the STM32F411RE micro controller as the crucial element. In contrast to the domestic market, the parameter detecting system for lithium-ion batteries …
Published in Journal of Microelectronics and Solid State Devices · Vol. 10, Issue 2, 2023 · pp. 18–27 Read article
-
Multi Response Optimization in Friction Stir Welding Al 7075/SiC/10% Metal Matrix
Abstract: The aim of this investigation is to determine the effect of Friction Stir Welding process parameters such as tool rotational speed, weld speed, tilt angle and tool geometry on Al7075/10%wt./SiC Metal matrix Composite. Composites were prepared by the mechanical stir casting process. L27 orthogonal array was chosen for the experimental design. The response characteristics as tensile strength (UTS ) and hardness (VHN) were measured and optimized with Taguchi based grey …
Published in Journal of Automobile Engineering and Applications · Vol. 5, Issue 1, 2018 · pp. 30–38 Read article
-
Record Linkage in Knowledge Discovery Process Using Angle Based Machine Learning
Abstract: Record linkage is a critical data cleansing step in the knowledge discovery process, aimed at identifying and resolving inconsistencies across datasets. This study proposes an enhanced record linkage framework tailored for uncertain and large-scale data using a combination of distance measurement, probabilistic modeling, and semantic reasoning. A novel angle-based distance measurement technique is introduced to optimize matching between candidate records. To further boost match accuracy, a Finite Mixture Model (FMM) …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1157–1170 Read article
-
Explainable Machine Learning for Process Parameter Optimization in Gradient 3D-Printed Polymer Composites
Abstract: The explainable machine learning-based structure may be employed to achieve a favorable process parameter of the graduate 3D-printed polymer composite structures to improve the mechanical and thermal properties without compromising the transparency of the decisions made during the fabrication process. Gradient composite specimens were made by systematically varied process parameters like nozzle temperature, raster orientation, deposition speed, gradient transition rate and fused filament fabrication. A predictive model of tensile strength …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 847–866 Read article
-
GSM Based Integrated Control System for Optimal Hazard Management
Abstract: It is no doubt that the lack of adequate control measures to control hazards such as fire outbreaks, flooding and intrusion have continued to undermine production and development in the country and had rendered many people homeless due to the negative effects imposed by these hazards. This work developed a system that provides smart alerts and control responses to emergencies such as fire outbreaks, gas leakage, flooding and intrusion in …
Published in Journal of Microelectronics and Solid State Devices · Vol. 9, Issue 2, 2022 · pp. 29–41 Read article
-
Particle Swarm Optimization Framework for Accurate Battery State-of-Charge and Remaining Useful Life Estimation
Abstract: Accurate estimation of the State of Charge (SOC) and State of Health (SOH) of a battery is key to safe and efficient management of batteries in electric vehicles and energy-storage systems. However, it is challenging due to high nonlinearity, varying operating conditions, measurement noise, and limited access to comprehensive electrochemical parameters. Traditional data-driven models often generalize poorly and require heavy tuning, which can produce unstable predictions. To address these problems, …
Published in Journal of Automobile Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 53–64 Read article
-
Path and Trajectory Planning of Unmanned Ground Vehicles with Vehicle Dynamic Characters
Abstract: Given partial knowledge about its environment (obstacle, road…) and goal position, optimal path and trajectory planning is a key problem for the control of unmanned vehicles. In path planning problem, it is very important to consider the dynamic limits of the vehicle with optimization function. The path planning was implemented by applying optimization methods based on the given obstacle information(virtual or measured by sensor system) and numerical map without considering …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 2, Issue 2, 2024 · pp. 7–14 Read article
-
Developed an Approach to Monitor the Technical Conditions of the Wheels by Measuring the Rolling Stock-track Forces
Abstract: With the rapid development of railway transportation, there is a growing need to improve the method of measuring the impact force exerted by rolling stock on the rail track. Monitoring the technical conditions of the rail track and wheels is crucial. This research aimed to investigate the improvement of existing systems for wheel monitoring during operation and propose a method to develop rolling stock diagnostic systems while the train is …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 1, Issue 1, 2023 · pp. 23–34 Read article
-
Optimal Placement and Location of Phasor Measurement Unit Considering Bus Voltage Using Genetic Algorithm
Abstract: This paper presents a procedure by which new PMU locations can be symmetrically determined in order to render an observable system. Monitoring and supervision of power systems are provided by the control centre, whose role is the design, coordination and network management. In this paper, an attempt has been made to control technique based on the implantation of measurement units at the network buses. A proposed methodology makes the system …
Published in Journal of Power Electronics and Power Systems · Vol. 6, Issue 2, 2016 · pp. 74–84 Read article
-
Comparative Realization of 2DoF PID Controllers for Flow Process with Measurement Delay
Abstract: Two Degree-of-Freedom (2DoF) PID control techniques presented in this paper were developed based on optimal control theory and with the Anti-Integral Windup (AIW) scheme. The controllers were implemented for a laboratory flow process setup. First Order Process with Dead Time (FOPDT) models had been identified by step testing. The process responses showed a significant non-minimum phase dynamics exhibited for the specific step inputs applied. The measurement delay was considered as …
Published in Journal of Control & Instrumentation · Vol. 6, Issue 1, 2015 · pp. 1–8 Read article
-
Springback of High Strength Steel Sheet and Preventive Measures
Abstract: The purpose of this paper is to improve the accuracy output of cold stamping product by accommodating springback. This is an experimental study to improve the accuracy of springback analysis and die compensation process during CAE of part. The springback shape and the target part are used to optimize the die surfaces compensating springback. This paper describes the springback behavior of HSS steel based on phenomenon and preventive measures based …
Published in Trends in Mechanical Engineering & Technology · Vol. 11, Issue 3, 2021 · pp. 24–31 Read article
-
Automated Machine Learning System for Model Selection and Hyperparameter Optimization
Abstract: The proliferation of machine learning applications in various scientific and industrial domains has given rise to an urgent need for developing principled, automated techniques for optimal architecture selection and hyperparameter tuning for machine learning models without human expert intervention. In this paper, we introduce the Automated Machine Learning System for Model selection and hyperparameter Optimization (AMLSMO)—a state-of-the-art, all-encompassing AutoML system that combines the power of meta-learning-based warm-starting, Bayesian Optimization with …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 · pp. 15–23 Read article
-
Automatic Gas Leakage Detection System
Abstract: This project report presents the design and implementation of a focused automatic gas leakage detection and ventilation system centered on the Arduino Nano microcontroller and the MQ-2 gas sensor. The primary function of the system is to detect flammable gases like LPG, propane, and methane using the MQ-2 gas sensor. This sensor continuously monitors the surrounding air for the presence of these gases. When the gas concentration crosses a predefined …
Published in Journal of VLSI Design Tools and Technology · Vol. 15, Issue 3, 2025 · pp. 29–35 Read article
-
Comparison of Models of Machine Learning and Hyperparameter Optimization Methods on Various Datasets
Abstract: The most likely phase in achieving powerful and robust machine learning models is probably the hyperparameter tuning step. The traditional exhaustive methods of search (grid search and others) ensure that the search space is covered, but are computationally inexpensive; random search is less expensive and can still miss good regions; and lastly, the modern model-based and population-based methods (Bayesian optimization, tree-structured Parzen estimator (TPE), genetic algorithms) are thought to provide …
Published in Recent Trends in Programming languages · Vol. 13, Issue 1, 2026 · pp. 35–42 Read article
-
Numerical Simulation of Energy Efficient Routing Protocol in Wireless Sensor Network Using Optimized LEACH
Abstract: Wireless sensor systems consist of, for instance, independent sensors used to measure temperature, humidity, and physical and environmental conditions spatially distributed. These sensors transmit data to a dish. Due to the huge ability of sensor network to link the physical world to the vertical world, the popularity of the wireless sensor networks (WSNs) has enormously increased. Becoming a repetitive job since those devices rely on battery power and can be …
Published in Journal Of Network security · Vol. 9, Issue 1, 2021 · pp. 48–56 Read article
-
A Physics-Informed Graph Neural Network Framework for Real- Time Thermal-Aware Fault Prediction and Adaptive Power Optimization in Heterogeneous System-on-Chip Architectures
Abstract: Heterogeneous System-on-Chip (SoC) architectures are increasingly adopted in edge computing, artificial intelligence, autonomous systems, and high-performance embedded platforms due to their superior computational efficiency and flexibility. However, increasing integration density and workload diversity introduce severe thermal hotspots, accelerated device degradation, and unexpected hardware faults that adversely affect system reliability and energy efficiency. This study proposes a Physics-Informed Graph Neural Network (PI-GNN) framework for real-time thermal- aware fault prediction and adaptive …
Published in Journal of VLSI Design Tools and Technology · Vol. 16, Issue 2, 2026 · pp. 19–28 Read article
-
Response Surface analysis to find optimum pull for a Multi-Purpose Agricultural Tool for Design and Fabrication
Abstract: Design and assembly of a multi-purpose agricultural tool is a major aspect that has to be developed, This is majorly in continuation with the fact that India has shifted its trend from just an agro-based country to homeland of major IT companies, but still one of its major income is through agriculture be it directly or indirectly. So, it’s an obvious concern that India’s agriculture should be modernized. More than …
Published in Trends in Machine design · Vol. 5, Issue 2, 2018 · pp. 9–13 Read article
-
AI-Accelerated Development of Gradient Polymer Nanocomposite Thin Films
Abstract: Gradient polymer nanocomposite thin films are an active field of materials research due to the fact that it enables scientists to de-facto regulate the optical, electrical, and mechanical properties of a film by merely altering its composition on a layer-by-layer basis. This type of control opens the gate to the improved flexible electronics, long lasting protective coats, and the new smart gadgets. The problem is, though, that it is a …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 456–469 Read article