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670 articles for “data rate”
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Real-Time Cab Fare and ETA Prediction Using API Integration
Abstract: The exponential proliferation of ride-hailing platforms has necessitated the formulation of sophisticated and highly responsive predictive models for cab fare estimation and estimated time of arrival (ETA) computation. This work elucidates a robust framework leveraging real-time application programming interface (API) integration from Uber and Ola within a Flutter-based ecosystem to enhance predictive analytics. By assimilating real-time geospatial data, dynamic pricing algorithms, and latency-optimized API responses, this study investigates the empirical …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 08–15 Read article
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Performance Evaluation of Adverse Atmospheric Effects on Free Space Optical Communication
Abstract: There is an increasing need for communication systems that can accommodate high bandwidth and quick data transfer rates in today's fast-paced technological environment. Free Space Optical (FSO) communication has become a very attractive technology to address these changing needs. FSO systems, which use license-free infrared beams, have a number of benefits, including strong bandwidth, immunity to interference, improved security, and small, light designs. FSO is used in many different applications, …
Published in International Journal of Solid State Innovations & Research · Vol. 2, Issue 1, 2024 · pp. 21–29 Read article
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Advanced Collaboration and Project Management Platform
Abstract: The growing dependence of employees on remote and hybrid working modes worldwide has driven a demand for modern collaborative platforms to optimize project management. All organizations are keen on solutions that enhance workflow efficiency, facilitate seamless communications, and boost overall productivity. The study presents an advancement in project management collaboration and aims at finding solutions to meet those demands, using API integration. The study explores the extent to which API …
Published in Journal of Web Engineering & Technology · Vol. 12, Issue 2, 2025 · pp. 11–18 Read article
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Network Monitoring Tool in Shell Programming
Abstract: Network monitoring is the systematic effort of a computer network to detect slow or failing network components such as overloaded or crashed/frozen servers, failing routers, failed switches, or other problematic devices. The network monitoring system notifies the network administrator in the event of a network failure or other outage. Network management is a subset of network monitoring. Network monitoring is typically accomplished through the use of software applications and tools. …
Published in Journal of Advances in Shell Programming Read article
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RTL-to-GDS Implementation of a High-Speed On-Chip 32:1 Serializer Using Open-Source Tools
Abstract: Exploring the RTL-to-GDS implementation of a high-speed on-chip 32:1 serializer, this study investigates the integration of open-source tools within VLSI design, emphasizing sustainable practices in the semiconductor industry while operating at the nanometer scale. Addressing methodologies for optimizing power consumption and chip area utilization, particularly focusing on efficient use of non-renewable resources. The study is set against the backdrop of advanced 7nm FinFET technology, critical for enabling efficient data transmission …
Published in Journal of VLSI Design Tools and Technology · Vol. 14, Issue 3, 2024 · pp. 1–10 Read article
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Clinical Evaluation of Efficacy of a Polyherbal Unani Formulation (Mentioned in Makhzan-Ul-Ilaj) in the Management of Warm-e-Lauzatain-Haad (Acute Tonsillitis)
Abstract: Background: Warm-e-Lauzatain-Haad (Acute Tonsillitis) is an inflammatory condition of the palatine tonsils characterized by throat pain, fever, odynophagia and general discomfort. It is particularly common among adolescents and young adults and contributes substantially to outpatient visits and missed academic or workdays. In Unani medicine Warm-e-Lauzatain is described as a hot inflammatory swelling arising from deranged humors, exposure to irritants or descending catarrhal matter. Classical Unani texts including Makhzan-ul-Ilaj, advocate the …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 15, Issue 1, 2026 · pp. 13–22 Read article
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Design and Analysis of A Terahertz Microstrip Antenna
Abstract: Terahertz radiation is in the electromagnetic spectrum. Terahertz radiation is used for a variety of purposes since it is non-ionizing and may move in a straight line. It has some similarities with microwaves, in that terahertz radiation can penetrate non-conducting materials, but it shows less depth of penetration than microwaves. Compared to millimeter waves the capacity of Terahertz waves is large enough and possesses high data transmission rates. Terahertz radiation …
Published in Journal of Microwave Engineering and Technologies · Vol. 10, Issue 1, 2023 · pp. 1–7 Read article
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Design, Deployment and Implementation of Local Area Network (LAN) at BAEC Headquarters
Abstract: A local area network (LAN) is a computer network within a small geographical area such as a home, school, computer laboratory, office building or group of buildings. A LAN is composed of interconnected workstations and personal computers which are each capable of accessing and sharing data and devices, such as printers, scanners and data storage devices, anywhere on the LAN. LANs are characterized by higher communication and data transfer rates …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 8, Issue 1, 2021 · pp. 14–20 Read article
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Anti-hyperglycaemic Effect of Psidium guajava Extracts in Diabetes Mellitus: Systematic Review and Meta-analysis
Abstract: Introduction: Psidium guajava belonging to family Myrtaceae is traditionally used plant for the treatment of diabetes in many countries of the world. This systematic review was designed to determine level of evidence of on the anti-hyperglycaemic effect of Psidium guajava extracts from experimental trials. Methods: An electronic literature search from the database inception was performed since December 2014 with specified terms and defined outcome. We included only experimental study designs …
Published in Research and Reviews : Journal of Computational Biology · Vol. 8, Issue 1, 2019 · pp. 26–33 Read article
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Impact of Solar Variability on the Heliosphere and Cosmic Rays Modulation with Geomagnetic Activity
Abstract: AbstractThe structure of the heliosphere and produce changes in cosmic ray intensity controls by solar variability. the observation based on data taken from Omniweb data center for solar interplanetary data and count rate of cosmic ray intensity (CRI) variation data from Oulu / Moscow neutron monitors (with cutoff rigidities Rc=0.80 GV and Rc=2.42 GV) during 1996-2018. It is observed that the sun is remarkably quiet and the strength of the …
Published in Recent Trends in Electronics Communication Systems · Vol. 7, Issue 1, 2020 · pp. 32–35 Read article
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BRAIN TUMOR DETECTION USING MACHINE LEARNING AND GAUSSIAN MIXTURE MODEL
Abstract: This paper provides an machine learning approach for the detection of brain tumors. The modified GMM approach is used for the detection of tumors. The ARFF dataset of tumor image is created. The training dataset is created and the efficiency of the approach is tested against the test dataset. The detection rate is 98.5.Keywords: GMM, Machine learning, technology, brain tumor, ARFF datasetCite this Article: Parimala Geetha K, C. Anna Palagan, …
Published in Journal of Computer Technology & Applications · Vol. 11, Issue 2, 2020 · pp. 1–4 Read article
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A Hybrid Mathematical Model for Epidemic Outbreak Forecasting Using Machine Learning and Cloud Computing
Abstract: The increasing frequency of infectious disease outbreaks has emphasized the necessity for intelligent epidemic surveillance systems capable of predicting disease spread at an early stage. Conventional outbreak detection approaches rely heavily on delayed statistical reporting and manual monitoring techniques, resulting in reduced responsiveness during critical periods. This paper presents a mathematical predictive framework for epidemic outbreak detection using machine learning and cloud computing technologies. The proposed framework integrates the Susceptible–Infected–Recovered …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 13, Issue 2, 2026 · pp. 01–06 Read article
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Modern Electronics Wearable Gadgets for Health Monitoring
Abstract: AbstractIOT is being used to interconnect the accessible medical assets and achieved smart, consistent, and useful healthcare service to the citizens. In this paper, IoT architecture adapted for healthcare applications which collects the data and relays it to the cloud where it is processed and analyzed. User will get the feedback that produced by data analysis. Applications are proved by prototype of the proposed architecture. Patients are monitored by the …
Published in Recent Trends in Sensor Research & Technology · Vol. 6, Issue 2, 2019 · pp. 11–16 Read article
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Intelligent Water Distribution Management using IoT
Abstract: Water plays a vital role in agriculture, making its efficient management essential for sustainable crop production. However, undetected leaks in irrigation systems can result in significant water loss, irregular watering of fields, soil degradation, and reduced crop yield. Conventional methods like manual inspection are not only labor-intensive but also ineffective in identifying leaks promptly – emphasizing the need for a smarter and automated approach to water monitoring. To address this …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 15, Issue 1, 2026 · pp. 18–27 Read article
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The Application of Python Programming Language in the Automation of a Mathematical Model for Well Trajectory Selection Optimisation for a Given Field
Abstract: Directional drilling plays a major role in the exploration and recovery of hydrocarbons. There are three basic trajectories that a well may follow. They include; Build-and-Hold, Build-Hold-andDrop and Continuous-Build Trajectories. The selection of a trajectory is usually based on experience/trial and error approach and may be associated with errors. This work has therefore developed a mathematical model that optimised the automatic selection of a well trajectory type for a given …
Published in Journal of Petroleum Engineering & Technology · Vol. 12, Issue 3, 2022 · pp. 1–9 Read article
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A Comprehensive Tool for Authenticating Instagram Profiles Using Instaloader
Abstract: With the rapid growth of Instagram as a dominant social media platform, there is an increasing need for tools that allow users to extract, analyze, and monitor profile data efficiently. Instagram has become one of the leading platforms for personal branding, influencer marketing, business promotion, and public communication. As businesses and individuals seek to better understand their presence and influence on this platform, the need for reliable data extraction tools …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 93–98 Read article
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Three-stage Decimation Filter Design with CIC and FIR Filters: A Review
Abstract: In this paper the design of decimation filter with three stages are considered and presented using the FDA tool of MATLAB. The decimation filter reduces the sampling rate of the signal while preserving the required data. The single stage filter is very difficult to implement because it requires more coefficients which results in bad frequency response so three stages of filters are considered, and further decimation is done. In filter …
Published in Journal of Nuclear Engineering & Technology · Vol. 13, Issue 1, 2023 · pp. 30–36 Read article
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IoT-Based Healthcare Monitoring for COVID-19 Home Quarantined Patients
Abstract: 4–5 days after a person contracts the COVID virus, symptoms typically start to show. It's possible for some people's symptoms to go undetected for up to two weeks. Fever, lightheadedness, headaches, dyspnea, dry coughs that eventually produce phlegm, and in rare instances, loss of taste and smell are the predominant symptoms of COVID 19 infection. Rashes and other skin issues have sporadically been reported. One example is the reddish-purple spots …
Published in Recent Trends in Sensor Research & Technology · Vol. 9, Issue 3, 2022 · pp. 26–31 Read article
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Computational Biology with Deep Learning
Abstract: Technological advances in genomics and imaging have resulted in an explosion of molecular and cellular profiling data from large numbers of samples. Conventional analytic methodologies are being tested by the increasing expansion of biological data dimension and acquisition rate. Modern machine learning technologies, such as deep learning, promise to make accurate predictions and identify underlying structure in very huge data sets. In this study, we look at how regulatory genomics …
Published in Research and Reviews : Journal of Computational Biology · Vol. 11, Issue 1, 2022 · pp. 5–8 Read article
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IoT Sensors to Monitor Pipeline Pressure and Flow Rate Combined with ML-Algorithms to Detect Leakages
Abstract: In the field of fluid mechanics, pipelines are the lifeblood of industries, transporting everything from natural gas and oil to water and chemicals. Maintaining their integrity is paramount for safety, economic efficiency, and environmental protection. Traditional leak detection methods explained in fluid mechanics can be slow, expensive, and sometimes fail to identify small leaks early enough to prevent significant damage. However, the convergence of Internet of Things (IoT) and Machine …
Published in Recent Trends in Fluid Mechanics · Vol. 12, Issue 2, 2025 · pp. 40–48 Read article