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148 articles for “movement models”
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Deep Learning Architectures for Predictive Modeling in Financial Time Series
Abstract: This study investigates the application of deep learning architectures, particularly convolutional neural networks (CNNs), to the challenging task of financial time series forecasting. Financial markets are inherently complex and influenced by a range of factors, making accurate prediction of price movements a difficult problem. In this research, historical financial data including stock prices, volumes, and other relevant indicators are used to train CNN models aimed at capturing the underlying patterns …
Published in Current Trends in Signal Processing · Vol. 15, Issue 3, 2025 · pp. 45–55 Read article
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Analysis of new Floating Offshore Wind Turbine under drag force operation
Abstract: The goal of this paper is the study and analysis of a new type of floating offshore wind turbine (FOWT), which operates under drag force instead of lifting force as the conventional FOWT. We simulate the wind turbine operation modifying the pitch angle to faithfully reproduce the behavior when submitted to waves’ movement. The analysis of the wind turbine performance is developed in a model at laboratory scale to control …
Published in Journal of Offshore Structure and Technology · Vol. 11, Issue 1, 2024 · pp. 1–10 Read article
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Finite Element Simulation of the Cold Open-Die Forging of Sintered Aluminum Metal Powder Trapezoidal Preforms
Abstract: This paper presents finite element simulation of the forging of sintered aluminium metal powder trapezoidal preforms at cold conditions. It involves basic experimental investigations followed by the finite element simulation of the forging process under consideration by the use of DEFORM. The basic experimental work includes the fabrication of compaction die-sets, production of aluminum metal powder trapezoidal preforms and simple compression test to obtain load-deformation data. The stress-strain data was …
Published in Trends in Mechanical Engineering & Technology · Vol. 1, Issue 2-3, 2011 · pp. 18–28 Read article
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Identifying and Implementing a Machine Learning Model Suitable for Processing Visually Evoked Potential
Abstract: A Brain-Computer Interface (BCI) is a system that translates brain activity patterns into computer commands, bypassing physical movement. Electroencephalography (EEG) is commonly used to acquire signals in BCI research. Visual evoked potentials (VEPs) are brain responses in the visual cortex to visual stimuli. Recent studies show that exposing individuals to flickering at a consistent frequency generates EEG signals synchronized with the stimulation. Efficient extraction of VEP signals begins with preprocessing …
Published in Journal of Microwave Engineering and Technologies · Vol. 11, Issue 2, 2024 · pp. 1–8 Read article
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An Effectual Analysis of Agribot Technology and Implementation in Global Perspectives for Energy Saving
Abstract: AbstractThe classical agricultural natural process requires huge manual try and dispatch on farm subject field which can be replaced using mechanization or smart farming. Agribot is the excellent example of computerized or smart effectuation of the agricultural devices which can oeuvre in autonomous trend with live monitoring from a remote mastery locating. This manuscript contains an automaton robot to carry out various applications because automaton is a mechanical, artificial cistron …
Published in Recent Trends in Sensor Research & Technology · Vol. 5, Issue 2, 2018 · pp. 20–32 Read article
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Cointegration and Error Correaction Modeling for BSE and NSE Stock Prices Time Series Data
Abstract: AbstractEconometrician always have been observed that most of the economics time series are non-stationary. The ordinary least square technique could be applied to estimate the model parameters only if the variables have been found to be stationary, i.e., they do not have unit roots. Otherwise, an alternative approach has to be followed, which is ‘co-integration’. Co-integration is a method of finding out the long-term relationship between economic variables under consideration. …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 4, Issue 3, 2017 · pp. 30–41 Read article
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Impact of Shape, Size and Crystal Structure on Vacancy Related Properties of Gold Nanoparticles
Abstract: It is necessary to consider defects to explain the electron movement, thermal transport and mechanical properties of materials. In the present study, a simple quantitative model for cohesive energy of nanoparticles is extended to determine the size, shape and crystal structure effect on vacancy formation energy, vacancy entropy, and vibrational frequency in free surface Au nanoparticles. Vacancy entropy variation with size has been studied for spherical, regular octahedral, regular hexahedral …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 223–229 Read article
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Mathematical Models of Agricultural Cycles in Tribal Astronomy
Abstract: This paper delves into the intricate connection between traditional tribal agricultural practices and astronomical observations, showcasing how indigenous communities have historically relied on celestial movements to guide essential farming activities. By observing the phases of the moon, solar cycles, and the positions of star constellations, tribes have developed precise methods for determining the optimal timing for planting, harvesting, and seasonal planning. These astronomical practices are deeply embedded in their cultural …
Published in Research & Reviews : Journal of Statistics · Vol. 13, Issue 3, 2024 · pp. 9–17 Read article
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The Use of Unmanned Aerial Vehicles (UAV) to Disperse Fog and Improve Visibility
Abstract: Ground and aerial movements may be restricted at an airport due to limited visibility caused by fog. Both of these could result in poorer throughput because of the safety considerations associated with tasks that have low visibility. As a result of the vastly increased number of aircraft that are now capable of landing and taking off in situations with extremely low surface visibility, the ultimate capacity limit may on occasion …
Published in Journal of Aerospace Engineering & Technology · Vol. 13, Issue 1, 2023 · pp. 1–7 Read article
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Review of Subsea Pipeline for Minimizing Thermal and Pressure Expansion
Abstract: As the offshore oil and gas fields have been exploited in deeper water, subsea pipelines are required to operate at high temperatures and pressures. It causes subsea pipelines to be more subject to movements both in lateral and axial directions due to the loads produced by high temperatures and pressures. Some high temperature pipelines have experienced the cumulative axial displacement of an overall pipeline length over a number of start-up/shut-in …
Published in Journal of Petroleum Engineering & Technology · Vol. 4, Issue 1, 2014 · pp. 10–22 Read article
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Research Paper On Design Modification Of Dipper Stick Of Jcb 3DX Model
Abstract: JCB’s excavators does various earth moving activities. Practically earth moving activity in them is made by backhoe assembly. In this assembly, the dipper stick is the part which connects the boom with the bucket. The stick provides the digging movement needed to pull the bucket through the ground. There are some problems like dipper stick can’t getting closer to the machine when they’re trenching, questions on their structural rigidity as …
Published in Trends in Mechanical Engineering & Technology · Vol. 11, Issue 1, 2021 · pp. 38–43 Read article
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Financial Forecast: Systematic Analysis Using Principal Component Analysis
Abstract: The most popular technique for data exploration and analysis across all scientific disciplines that can influence the classification model's accuracy is principal component analysis (PCA). In this study, the high dimensionality of the stock market is examined in order to forecast market movements using PCA in conjunction with linear regression. While reducing data redundancy, PCA can aid in enhancing the predictive performance of machine learning techniques. The New York Stock …
Published in E-Commerce for Future & Trends · Vol. 9, Issue 2, 2022 · pp. 18–24 Read article
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Need of Today’s Era: Green Library
Abstract: Green Library movement becomes popular in current scenario and librarians are taking part in this movement enthusiastically. They take initiatives for developing environmental awareness in the society and also act as a role model for the society by using maximum natural resources for library development and its building construction. This article explains the concept of Green library.Keywords: Need of Green Library, Definition of Green Library, Elements of Green Library, Role …
Published in Journal of Advancements in Library Sciences · Vol. 6, Issue 1, 2019 · pp. 146–148 Read article
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Age, Gender And Emotion Detection
Abstract: The main reason is the development of a method to automatically estimate the age and gender of the human face. It continues to play an important role in computer vision and pattern recognition. In addition to age determination, facial emotion recognition also plays an important role in computer vision. Nonverbal communication methods such as facial expressions, eye movements, and gestures are used in many human-computer interaction applications. Much research has …
Published in Recent Trends in Sensor Research & Technology · Vol. 9, Issue 1, 2022 · pp. 1–6 Read article
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Controlling Movement of Vehicle Using Ultrasonic Sensor
Abstract: At the present years, the collisions are majorly caused by interruption of the driver to hit the brake or by the negligence by the driver. The present work aims to develop a model system that recommend an automatic braking in vehicle, which is system can operate spontaneouslywith the help of high profile sensors based on relay circuit and some changes in traditional braking system and apply the brake automatically in …
Published in Trends in Opto-electro & Optical Communication · Vol. 10, Issue 3, 2020 · pp. 22–27 Read article
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Advancements in Humanoid Robot Locomotion: A Review of Control Strategies and Kinematic Models
Abstract: Humanoid robot locomotion has significantly improved over the past few decades, driven by improvements in control strategies and kinematic models. Researchers aim to develop robots that can walk, run, and navigate complex terrains with efficiency and stability. This review explores recent developments in humanoid locomotion, highlighting control strategies such as model predictive control, reinforcement learning, and central pattern generators. Additionally, it examines kinematic models, including inverted pendulum models and zero …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 3, Issue 1, 2025 · pp. 24–30 Read article
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Heterogeneous Teleoperation Model for Controlling 3D Printed Humanoid Robot Arm with 5 DOF using 3 DOF Exoskeleton
Abstract: The main objectives of the present work are to model and implement a control system of five degrees of freedom (5 DOF) humanoid arm by using an exoskeleton system with 3 DOF. The exoskeleton system is used to transport the movements of the human’s arm to the controller to control the humanoid arm by using sensors at each target joint to measure the angular displacement of it. To achieve this …
Published in Journal of Control & Instrumentation · Vol. 10, Issue 2, 2019 · pp. 1–15 Read article
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Elderly Healthcare Using Federated Learning Approach
Abstract: The healthcare system for elderly people faces several challenges, which can be addressed using advanced machine learning models. These models can help monitor chronic diseases, detect falls, and provide personalized health recommendations. The study uses comprehensive datasets like MIMIC-III/IV, WESAD, and UCIHAR to explore human movements, device limitations, and the differences in fall occurrences. A detailed review of existing literature discusses current technologies for activity monitoring and fall detection, focusing …
Published in Current Trends in Information Technology · Vol. 16, Issue 1, 2025 · pp. 13–23 Read article
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Additive Manufacturing of Polymer-Based Advanced Composites: Mechanical Properties and Performance Evaluation
Abstract: Fabrication of large-scale and geometrically complex polymer-based advanced composites via fused deposition modelling (FDM) has been shown to be a promising technology for the production of such materials, however there are challenges in using short carbon fibre-reinforced polylactic acid (CF-PLA) which include obtaining high mechanical performance and maintaining dimensional accuracy with dynamic robot motion and complex interactions occurring between process parameters. The conventional approaches are mostly static feed rates or …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1326–1335 Read article
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High Efficiency Linear Motion Using Sequential Coil Electromagnetic Propulsion Train
Abstract: The Electromagnetic Propulsion Train project efforts on developing a model that proves linear motion using exactly controlled electromagnetic forces. Dissimilar conventional railway systems that depend on mechanical drives, traction motors, and wheel–rail friction, this model uses a coordinated arrangement of electromagnets positioned along the track to generate attractive and repulsive forces, which together produce the essential propulsion. This method reduces dependence on mechanical movement and highlights the possible of magnetic …
Published in Trends in Mechanical Engineering & Technology · Vol. 15, Issue 3, 2025 · pp. 32–39 Read article