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392 articles for “Valid Time”
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Determination of RP-HPLC Method for Safinamide: Its Bulk and Tablet Dosage Form
Abstract: A new method was established for estimation of Safinamide by RP-HPLC method. The chromatographic conditions were successfully developed for the separation of Safinamide by using Agilent C18 column (4.6×150 mm, 5 µ); flow rate was 1 ml/min, mobile phase ratio was Methnol, Acetonitril (60:40), pH 3 (pH was adjusted with orthophosphoric acid), detection wavelength was 235 nm. The instrument used was WATERS HPLC Auto Sampler, Separation module 2695, photo diode …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 5, Issue 3, 2018 · pp. 1–6 Read article
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A New Separation Technique for Method, Development and Validation of Aclidinium Bromide and Formoterol Fumarate in Its Pure and Pharmaceutical Dosage Form by Using Rp-HPLC
Abstract: A new simple, precise, selective and accurate, a new method of development and validation using Rp-HPLC for the estimation of Aclidinium bromide and Formoterol Fumarate in its pure and pharmaceutical dosage form. Chromatogram was run through DIKMA Spursil, C18 segment (4.6×150 mm, 5µ0). Mobile phases contain 0.1% OPA: Acetonitrile (30:70) with the use of the 0.1% OPA buffer, stream rate of 1 ml/min and measured in 280 nm. The run …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 15, Issue 3, 2024 · pp. 18–36 Read article
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An Advance Model for Network Security System Using NIDS and HIDS
Abstract: important role. As use of internet is increasing fear of losing the data is also increased. In this paper a mechanism to secure the data is discussed which is known as intrusion detection system (IDS). This system’s major task is to detect the abnormal activities or attacks done by intrusion over network or host. With the help of this security system, we can maintain the security of data over the …
Published in Journal of Electronic Design Technology · Vol. 10, Issue 3, 2019 · pp. 42–52 Read article
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Mathematical modelling of Thrust profile and Kinematic parameters of Launch abort system
Abstract: The paper discusses a mathematical approach for analysis of thrust and related kinematic parameters produced by abort/escape motors of Launch abort system (LAS) during the initial seconds of abort sequence. The profile is generated applying simple numerical technique to the equations of thrust and motion during this non-linear process. Thrust value peaks during this phase, making it crucial for safety of LAS and the crew in particular. Computations involving data …
Published in Journal of Aerospace Engineering & Technology · Vol. 11, Issue 1, 2021 · pp. 33–47 Read article
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Design and Development of Screw Detection System : A case study
Abstract: This study explores the design of a vision-based screw detection and orientation system for industrial automation, inspection, and robot disassembly. By integrating machine learning algorithms like region-based convolutional neural networks (R-CNN) with traditional image processing and impedance sensing, the system performs real-time screw presence detection, head type identification, and alignment. Three key technologies—deep learning classification, edge-based geometric analysis, and impedance verification—are integrated into a single modular system. The findings indicate …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 4, Issue 1, 2026 · pp. 30–36 Read article
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Lamivudine And Dolutegravir Simultaneous Dosage Forms Determined and Validated Using The RP-UPLC Method
Abstract: RP-UPLC has been used to produce a straightforward, precise, and accurate approach for the simultaneous estimation of dolutegravir and lamivudine in a pharmaceutical dose form. A HSS C18 column of 2.8 x 50 mm and featuring particles with a size of 1.6 μm was used to process the chromatogram. A mixture of 70:30 Buffer Na2HPO4 and methanol made up the mobile phase, which was pushed across the column at a …
Published in Emerging Trends in Personalized Medicines · Vol. 1, Issue 1, 2024 · pp. 5–13 Read article
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Synthesis of Poly(Methyl Methacrylate) Latex Using Batch Emulsion Polymerization Reactor: Experimental and Simulation Study
Abstract: AbstractThe rationale for the present study was to develop Poly(methyl methacrylate) polymer latex, using free radical emulsion polymerization mechanism, in which water acted as the continuous aqueous phase, methyl methacrylate monomer as the dispersed phase, potassium persulfate (KPS) as an initiator and sodium dodecyl sulfate (SDS) as the stabilizing agent. PMMA is a versatile thermoplastic resin, used widely because of its excellent performance in optical and medical field. The characterization …
Published in Journal of Polymer & Composites · Vol. 4, Issue 1, 2016 · pp. 37–44 Read article
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Detect Fraud Bank Checks with Convolutional Neural Network Processing Algorithm
Abstract: AbstractThe purpose of this study is to design and build a fraud check detection system with a Convolutional Neural Network (CNN) algorithm to quickly and easily detect a fraud or altered bank check in real time. A MATLAB Deep Learning Toolbox with related CNN algorithm is used to assist this study to quickly detect any fraud or altered bank check when it is deposited and scanned by a scanner in …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 7, Issue 3, 2020 · pp. 18–29 Read article
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Statistical Modeling for Weld Quality Assessment using AI SAW Welding of Mild Steel
Abstract: The main issue to the industries that apply Submerged Arc Welding (SAW) is quality assurance since the structural integrity dictates safety and the performance of the industry. The existing system of checking manuals is not only time consuming but also has human errors that make it mandatory to deploy automated intelligent systems. This study carries out an extensive comparison of the leading approaches based on the use of Artificial Intelligence …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 892–907 Read article
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AI Powered Fault Detection in DC Motor using STM32
Abstract: This work presents the design and implementation of an embedded artificial intelligence system for real-time fault detection in a direct current (DC) motor using the STM32 Nucleo- F411RE microcontroller. The objective of the study is to develop a low-cost and efficient predictive maintenance solution capable of identifying abnormal motor behavior at an early stage. Vibration and temperature signals are acquired using an MPU6050 sensor and processed directly on the microcontroller …
Published in Journal of Control & Instrumentation · Vol. 17, Issue 1, 2026 · pp. 39–49 Read article
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Quasar: Quantum-Accelerated Sustainable Anomaly Recognition in Climate Systems
Abstract: Accurate detection of climate anomalies is vital for disaster alleviation and policy making in a sustainable manner, but customary detection methods face the challenges of computational inefficiency and physical inconsistency. In this study, we propose a novel approach called Quantum-Optimized Fuzzy Physics-Informed Neural Networks (QFuzzy-PINNs), which integrates quantum computing, fuzzy logic, and physics-informed deep learning. As a first step, we employ quantum annealing for conventional optimization to adjust multiple Gaussian …
Published in International Journal of Climate Conditions · Vol. 2, Issue 2, 2025 · pp. 18–27 Read article
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Thermo-physical Properties of Asphalt Predicted using Molecular Dynamics Simulation
Abstract: This study is an essential step to get thermo-physical properties of asphalt using molecular dynamics simulation. It deals with the validity of dreiding force field for asphalt binder model. Both all atom and united atom models of asphalt are considered in my study to find the better model for MD simulation applying dreiding force field potential function. The potential energy values at different time steps are compared to get the …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 4, Issue 3, 2014 · pp. 13–22 Read article
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Deep Learning-Enhanced Polymer-Based Wearable Biosensors for Continuous Health Tracking via IoT
Abstract: The rapid proliferation of wearable biosensor technologies has transformed approaches to real-time health monitoring, yet challenges persist in achieving both mechanical robustness and reliable, continuous data analytics in dynamic environments. Conventional polymer-based sensing systems often fall short due to limited signal fidelity, inadequate adaptive analytics, or insufficient integration with secure, low-latency IoT frameworks. Addressing these deficiencies, this work introduces a flexible, deep learning-enhanced wearable biosensor platform that combines a nanostructured …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 18–31 Read article
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Estimation of Alogliptin and Dapagliflozin in Synthetic Mixture by RP-HPLC Method
Abstract: The primary objective of the proposed research was to develop and validate analytical methods for the simultaneous quantification of Alogliptin and Dapagliflozin in a synthetic mixture. Alogliptin and Dapagliflozin are medications used for managing diabetes, with Alogliptin inhibiting the enzyme Dipeptidyl peptidase-4 and Dapagliflozin belonging to the class of sodium-glucose cotransporter 2 inhibitors. High-performance liquid chromatography method development was conducted using a C18 column (250 mmX4.6 mm, 5 μm particle …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 15, Issue 2, 2024 · pp. 37–46 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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Enhancing Trust in Education Through Blockchain- Based Credential Authentication
Abstract: Academic credentials such as degree certificates, transcripts, and course completion records are fundamental for validating an individual’s educational achievements. However, conventional credential management systems largely rely on centralized databases and physical documentation, making them vulnerable to forgery, unauthorized modification, data loss, and inefficient verification processes. These limitations reduce trust among educational institutions, employers, and learners, while also increasing administrative overhead. This study proposes a blockchain-based credential authentication framework designed to …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 1, 2026 · pp. 1–7 Read article
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Natural Products: A Prospective Tactic to Unite Nature and Disease
Abstract: The most primitive and effective method from pre-historic time to heal injuries, cure disease and relieve suffering; is treatment with the help of plants extract. Resistance to anti microbial agents has lead to treatment failure and the shift of medical care from orthodox to herbal medicine. Most of the herbal medicines in use await validation of their claimed effects and possibly the development of novel antimicrobial drugs from them. Every …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 5, Issue 3, 2015 · pp. 35–38 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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Providing Captions to the Detected Images: Deep Neural Networks and LSTM
Abstract: Automatically generating captions for images seems to be very interesting but at the same time the task is quite challenging as training a machine with proper comprehension of the image, it’s background, detecting the objects present in it and finally generating the captions is only the frontline projection; The difficult part happens behind the scenes: selecting the dataset, training the model, validating the model, developing pre-trained models to test the …
Published in Recent Trends in Parallel Computing · Vol. 8, Issue 3, 2021 · pp. 30–38 Read article
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Method Development and Validation for the Simultaneous Estimation of Ertugliflozin and Sitagliptin in Bulk and Tablet Dosage Form by using HPLC.
Abstract: A simple, Accurate, precise method was developed for the simultaneous estimation of the Ertugliflozin and Sitagliptin in bulk and tablet dosage form. Chromatogram was run through DIKMA Spursil C18 column (4.6 mm x 150mm, 3.0 µm). Mobile phase containing KH2PO4: Methanol (45: 55) was pumped through column at a flow rate of 1ml/min. Temperature was maintained at Ambient. Optimized wavelength for Ertugliflozin and Sitagliptin was 225 nm. Retention time of …
Published in Trends in Drug Delivery · Vol. 8, Issue 3, 2023 · pp. 40–49 Read article