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13 articles for “random walk”
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Study on Network Load on Various Mobile Ad Hoc Network Protocols Under the Random Walk Mobility and Random Way Point Model
Abstract: AbstractMobile ad hoc Network consists of mobile networks which create an underlying architecture for communication without the help of traditional fixed-position routers. MANET is group of mobile nodes which uses multi hop transmission for communication. Routing in MANET is challenging task, moreover presence of malicious nodes make the overall network very insecure furthermore dynamic nature of moving nodes adds to the complexity Mobility of the nodes has substantial influence on …
Published in Journal of Computer Technology & Applications · Vol. 5, Issue 1, 2014 · pp. 21–25 Read article
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Numerical Simulation of Anomalous Diffusion in Levy Random Walk Processes by Monte Carlo Method
Abstract: We have simulated the nonlinear behaviour of mean square displacement <r2>, with time based on Levy random walk model. By analysing different prospects, we came to the conclusion that, Levy random walk with continuous step length distribution gives rise to <r2> which behaves nonlinearly with time. This is only observable, when time average is taken and ensemble average does not lead to any nonlinearity. It also indicated the non-ergodic property …
Published in Research & Reviews : Journal of Physics · Vol. 10, Issue 2, 2021 · pp. 23–30 Read article
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Bayesian Image Segmentation using HMRF Algorithm
Abstract: AbstractImage segmentation is a process of dividing the image in to some distinct regions. These regions shave specially coherent in nature and have similar attributes. This technique is widely used for image analyses and to interpret the desired feature. In this present paper, we will study about the hidden Markov random fields (HMRF) and find its expectation maximization algorithm. The main idea behind developing HMRF is to adjoin the “data …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 7, Issue 3, 2020 · pp. 1–8 Read article
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Study of Various Forecasting Models for Time Series Data Using Stochastic Processes
Abstract: The data which is in time stamped format is called as time series data. The time series data is everywhere, for example, weather data, stock market data, health care data, sensor data, network data, sales data and many more. Time series have various components due to which the time series data became complex. Trend, seasonality, cyclical, and irregularities, these are different components. As everyone is interested to know about future. …
Published in Journal of Computer Technology & Applications · Vol. 12, Issue 2, 2021 · pp. 26–32 Read article
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A Review on Sybil Attack in Wireless Sensor Network Using Different
Abstract: Disseminated networks, not including trusted identities are predominantly susceptible to sybil attacks, where an opponent generates numerous bogus identities to the operation of weakened network. Here, we reward sybil defender, a sybil security scheme that impacts the network topologies to look after towards sybil attack in social communities. Taking into account performing a restricted amount of random walks within the social graphs, sybil defender is proficient and versatile to huge …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 3, Issue 2, 2016 · pp. 11–16 Read article
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Behavioural Assessment of Muscle Development by Downregulating Different Types of Integrins in Drosophila melanogaster
Abstract: Muscles play a major role in movement and diverse activities required for survival of an organism. In Drosophila, larval crawling and peristalsis are such kinds of rhythmic movements and are driven by muscle contractions. Larval crawling involves random walk on the solid surface whereas peristalsis involves one full body wall muscle contraction from anterior to posterior or in reverse direction in fluid. Accuracy in the development of muscles is an …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 8, Issue 2, 2018 · pp. 55–63 Read article
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Signal Feature Extraction and Machine Learning Techniques for Human Activity Recognition
Abstract: Human Activity Recognition (HAR) has emerged as a critical field of study with diverse applications in healthcare, fitness tracking, smart homes, and human-computer interaction. The aim of this research is to create an efficient HAR system through advanced techniques characterized by signal feature extraction and machine learning algorithms. The MEMS sensors are used appropriately during data mining to extract time-domain, frequency-domain, and statistical features, which are subsequently passed to the …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 12, Issue 1, 2025 · pp. 24–41 Read article
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Human Activity Recognition Using For Smartphone Sensors To Predict The Best Accuracy Based On Machine Learning Algorithms
Abstract: Human activity recognition requires predicting the action of a person based on sensor-generated data. Due to the enormous number of applications possible by modern ubiquitous computing devices, it has sparked a lot of attention in recent years. It categorizes data into actions such as walking, sitting, standing, and lying. The accelerometer and gyroscope were used to generate the sensor data, and the sensor signals were pre-processed with noise filters. The …
Published in Recent Trends in Sensor Research & Technology · Vol. 9, Issue 1, 2022 · pp. 12–23 Read article
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Appraisal of Household Potable Water Accessibility in Sub–Urban Areas of Oyo State: Geographic Information System and Remote Sensing Approach
Abstract: This study centred on assessing potable water accessibility in sub-urban areas using Fiditi as a case study. This study adopted a service area network and overlay operation in ArcGIS to achieve the aim of this study. Locational coordinates of all the facilities were obtained through Garmin 76 handheld GPS. Also, ground truthing was adopted to distinguish residential buildings from non - residential buildings. Coordinates (X.Y, Z) of the study were …
Published in Journal of Water Resource Engineering and Management · Vol. 10, Issue 1, 2023 · pp. 1–14 Read article
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The Effects of Dual Task Exercise Versus Task Specific Locomotion Training to Improve Walking Ability in Stroke: A Comparative Study
Abstract: Purpose of the study: The main aim of the study is to see whether the Dual-Task exercise versus Task Specific locomotion training improve gait/locomotion in chronic stroke patients. Participants: The study included a total of 30 participants, comprising both males and females, who had chronic stroke. All participants were at least limited community ambulatory individuals with Berg Balance Scale scores ranging from 41 to 56. Interventions: All the subjects were …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 13, Issue 1, 2023 · pp. 13–28 Read article
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Quantitative and Qualitative Analysis of Gait in Right and Left Side Stroke Patients
Abstract: To determine the gait pattern in right and left sided stroke patients which will be useful, in diagnosis of gait abnormality, help in correcting the gait pattern for gait re-education and also to prevent deformity. Thirty six subjects [31 male, 5 female] who were affected by stroke were randomly assigned to one of two intervention groups. Group I consist of 18 patients with right side stroke. Group II consist of …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 1, Issue 1-3, 2011 · pp. 21–37 Read article
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Performance Evaluation and Stability Analysis of Faba Bean (Vicia faba L.) Varieties in Siltie and Guraghe Zones, Ethiopia
Abstract: The experiment was conducted with ten faba bean Varieties for two consecutive years (2015–2016) comprising six environments in order to determine the effect of genotype x environment interaction and to identify and select high yielding, stable and best performing faba bean varieties with better adaptability. The experiment was laid out in a randomized complete block design with three replications. The combined analysis of variance of grain yield showed a highly …
Published in Research & Reviews : Journal of Botany · Vol. 11, Issue 1, 2022 · pp. 20–29 Read article
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Safety evaluation of Maghz-e-Jamun (Eugenia jambolana) in Prediabetes - A Randomized Placebo Controlled Study
Abstract: Objective: to evaluate the safety of Unani drug Maghz-e-Jamun(Eugenia jambolana) in Prediabetes. Research design and methods: It was randomized, single blind, placebo-controlled study randomly assigned to 52 prediabetic patients (diagnosed according to ADA classification) in the test and control group. Maghz-e-Jamun (Eugenia jambulana) powder 4.5 g was filled in 6 capsules, 3 capsules were administered orally twice a day in the test group for 12 weeks. While placebo prepared with …
Published in Research & Reviews : Journal of Herbal Science · Vol. 8, Issue 2, 2019 · pp. 19–27 Read article