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372 articles for “Extraction process”
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Extraction and Characterization of Pectin from Malabar Tamarind, and Indian Wild Lime
Abstract: Pectin is a versatile heteropolysaccharide that is widely used in the food, pharmaceutical, and biomedical industries because of its gelling, stabilizing, and emulsifying properties. This review discusses the extraction of pectin from agro-waste peels of Malabar tamarind (Garcinia cambogia) and Indian wild lime (Citrus indica) using conventional acid hydrolysis under optimized conditions: pH 1.5–2.0, 85–90°C, and 90 minutes. The process resulted in 22.5% and 27.8% pectin yields, respectively, verified through …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 472–478 Read article
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Mood Mate: A Solid-State Edge-AI System for Real-Time Facial Emotion Recognition
Abstract: Recent progress in solid-state electronics and embedded vision systems has enabled real-time emotion-aware applications at the edge. This paper presents MoodMate, a solid-state edge-AI framework for real-time facial emotion recognition using camera-based sensing and embedded processing. The proposed system integrates a solid-state image sensor with an AI- driven emotion classification pipeline optimized for low-latency and resource-constrained environments. Intelligent, emotion-aware apps can now be deployed right at the network edge thanks …
Published in International Journal of Solid State Innovations & Research · Vol. 3, Issue 2, 2025 · pp. 24–30 Read article
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Analysis of impact of Meditation on Cognitive Workload using EEG Signals
Abstract: AbstractMental activities can be indicated by the Cognitive workload which are useful in applications like Biomedical, Human Machine Interaction and Task analysis. The mental effort applied on the Working memory at a certain given time is commonly known as Cognitive load. The EEG Signals of Cognitive Workload can be studied and classified. The features such as Entropy, Energy, Power, etc. can be extracted from the EEG signals and processed using …
Published in Current Trends in Signal Processing · Vol. 10, Issue 1, 2020 · pp. 29–39 Read article
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Standard for Exchange of Products (STEP) based feature Recognition System for Prismatic Parts
Abstract: Feature extraction is considered as the bridge between Computer Aided Design (CAD) and Computer Aided Process Planning (CAPP). This work is concerned with understanding the problem of how to manipulate and extract information from CAD solid models by using Standard for Exchange of Product data model (STEP) files and its further use in downstream manufacturing operations. Emphasis is placed on recognizing and classifying manufacturing features from the Boundary Representation (BREP) …
Published in Journal of Production Research & Management · Vol. 1, Issue 1-2-3, 2011 · pp. 73–91 Read article
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Robustness of Deepfake Detection Systems Against Adversarial Attacks
Abstract: This paper explores a deep learning system to detect deepfake videos, a common type of fake media. With the use of sophisticated methods such as recurrent neural networks (RNNs) and convolutional neural networks (CNNs), our system can reliably discern between authentic and altered videos. It analyzes both the images and the audio in videos to find signs of deepfake manipulation. We process video frames and audio, extract features with CNNs …
Published in Journal of Instrumentation Technology & Innovations · Vol. 14, Issue 2, 2024 Read article
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A Novel Approach for Extraction of Polyphenols
Abstract: Polyphenols are class of compounds which are found in fruits, vegetables, walnuts, olives, tea leaves and many more. Polyphenols are antioxidant phyto-chemicals that prevent or neutralize the damaging effects of free radicals. They are secondary metabolites of plants and are generally involved in defence against ultra-violet radiation or aggression against pathogens. Polyphenols are various alcoholic compounds containing two or more benzene rings that each has at least one hydroxyl group …
Published in Emerging Trends in Chemical Engineering · Vol. 1, Issue 1, 2014 · pp. 31–36 Read article
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ECG De-noising Techniques and Optimal Feature Selection Using Principle Component Analysis
Abstract: AbstractECG (Electrocardiography) is used to record and determine the condition of the heart. This paper provides an overview of various ECG de-noising techniques that are used to eliminate different type of noises; therefore, noise reduction procedure to be performed to eliminate different type of noises such as baseline wander, dc offset and high frequency interference, and then the pre-processed signal is used to extract features from the ECG signal. This …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 5, Issue 1, 2018 · pp. 14–20 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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Big Data, Big Impact: The Role of Analytics in Modern Business
Abstract: In modern business, “Big Data” signifies the vast amount of data collected from various sources, and “Big Data Analytics” refers to the process of analyzing this data to extract valuable insights, enabling companies to make data-driven decisions, optimize operations, better understand customers, and ultimately gain a competitive edge by identifying trends, patterns, and opportunities that might otherwise be missed. This study analyzes large datasets, by which businesses can gain deeper …
Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 2, 2025 · pp. 01–11 Read article
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Optimizing Milling Parameters in Face Milling Operation
Abstract: In statistics, response surface methodology (RSM) establish a relationship between several self or system explanatory variables and one or more response variables. Since many variables are involved to control the process, the requirement of some mathematical models to represent the process is found to be necessary. In order to extract the result by this statistical analysis, the experimental results will have to be processed using the analysis of variance (ANOVA). …
Published in Journal of Experimental & Applied Mechanics · Vol. 9, Issue 3, 2018 · pp. 60–76 Read article
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Pharmaceutico-analytical Study of Navasadara Satva
Abstract: AbstractNavasadara (Ammonium Chloride; NH4Cl) is one of the rasadravyas included under sadharana rasa varga. Navasadara satvapatana is one of the potent formulations explained in the text Rasatarangini. Navasadara satva possesses the properties like deepana, kapha nissaraka, ruchya, and indicated in amlapitta, hrudaya dourbalya, murcha, puppusashotha, etc. In general, satvapatana means extraction of metallic portion from ore. But here satvapatana process is mentioned for mineral like navasadara. So present study has …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 2, Issue 2, 2013 · pp. 32–36 Read article
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Modeling and Acoustic Analysis of Noise Vibration in Automotive Gearbox by Non-destructive Testing
Abstract: A gearbox is used for transferring power from the engine to the wheels. Predicting the vibration and noise radiation from a dynamic system like a gearbox gives designers an insight early in the design process. It was conducted experimental and modeling of vibration and noise for magnitude and pressure level variations in a Peugeot 206 automotive 5-speed gearbox. It was extract vibration data related to different periodic processing and then …
Published in Journal of Experimental & Applied Mechanics · Vol. 11, Issue 3, 2020 · pp. 54–63 Read article
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Secondary Metabolites in Drug Development: Tracing Their Historical and Therapeutic Impact
Abstract: Secondary metabolites, also known as natural products, exhibit a level of structural and chemical diversity unmatched by synthetic small molecule libraries. These compounds, which have evolved to possess drug-like properties, continue to be a primary source for new medications and drug leads. Their discovery has significantly impacted advancements in chemistry, biology, and medicine, influencing drug development and therapeutic strategies throughout history. Derived from primary metabolic pathways such as photosynthesis, glycolysis, …
Published in Emerging Trends in Metabolites · Vol. 1, Issue 2, 2024 · pp. 51–55 Read article
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Key Issues in Biofuel Production from Microalgae: A Review
Abstract: Approximately 80 percent of the global energy needs are met by fossil fuels. Excessive reliance on these fuels has led to environmental pollution, climate change, and health problems for all living beings. Thus, identifying alternative energy sources is crucial to meeting global energy demands and reducing environmental pollution. It is expected that energy from cost-effective renewable resources will power the world’s energy systems in the future. Algae biomass has become …
Published in Research & Reviews : Journal of Botany · Vol. 15, Issue 1, 2026 · pp. 22–35 Read article
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Revolutionizing Document Analysis Using AI Based Text Extraction Methods
Abstract: The AI Document Analyzer is an innovative application created to revolutionize how we engage with and comprehend textual data. By integrating a range of advanced technologies, including Next.js, Drizzle ORM, OpenAI, Stripe, TypeScript, and Tailwind, this tool offers a comprehensive solution for document comprehension. Central to its functionality is a chat-based interface powered by the ChatGPT API, allowing users to engage in natural language conversations with their uploaded documents. This …
Published in Current Trends in Information Technology · Vol. 14, Issue 2, 2024 · pp. 40–46 Read article
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DOCSNAP: Integrating NLP and Computer Vision for Comprehensive Document Summarization
Abstract: Because of the exponential growth of digital content, sophisticated tools are required for effective data interpretation and administration.. This project harnesses the capabilities of the Gemini AI model developed by Google DeepMind to address the challenges of PDF summarization and image captioning. Gemini AI integrates cutting-edge algorithms, including transformer architectures, to process textual and visual data seamlessly. The project's system architecture involves modules for text and image extraction, with a …
Published in Journal of Instrumentation Technology & Innovations · Vol. 14, Issue 2, 2024 Read article
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Compact Autonomous Multipurpose IoT BOT
Abstract: AbstractInternet of things (IoT) is widely used in interconnection of physical and other embedded devices, which enables the objects to exchange data. Robotics is the technology which is used to carry out complex series of actions either automatically or command based, guided by an embedded system within it. The proposed work is an integration of IoT with robotics for home automation. First, when the user enters into the house, robot …
Published in Journal of Instrumentation Technology & Innovations · Vol. 8, Issue 1, 2018 · pp. 27–33 Read article
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Energy-efficient Image Classification on Edge Devices: Implementation and Evaluation
Abstract: Image classification is a computer vision problem where an algorithm determines a class or label for a given image. Various real-time applications like object recognition, medical diagnosis, person recognition, etc. Image classification property on edge devices is useful for autonomous vehicles, surveillance, and healthcare and internet of things deployments. The advancement of deep learning based methods and graphics processing units (GPU) devices allows efficient processing locally. The study utilizes a …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 11, Issue 3, 2024 · pp. 10–18 Read article
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Sustainable Production of Halal Butter from Mango Kernel Oil: Extraction, Characterization and Functional Evaluation
Abstract: Mango kernel oil (MKO) is a mango processing by-product and is increasingly of interest in food use because of its appropriate fat content. The growing demand of the halal and plant-based alternatives of butter points to the necessity of the sustainable non-dairy sources of fat. Mango kernel oil butter has good physicochemical properties such as a good balance of fatty acids, good oxidative stability, and the right level of moisture, …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 15, Issue 2, 2026 · pp. 12–21 Read article
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Embedding Dual Watermark in the G-Channel Image Using DCT and 2-D Walsh Code
Abstract: This paper uses two dimensional Walsh coding for blind twofold watermarking algorithm which mixes robust copyright watermark and authentication information into various color images to maintain the copyright ownership of the host images. First watermark i.e. fingerprint image is embedded in the DCT low frequency coefficients of the G-channel image of host image where as the second watermark i.e. mobile phone number is embedded in the DCT block of G-channel …
Published in Current Trends in Signal Processing · Vol. 5, Issue 2, 2015 · pp. 27–34 Read article