Search
249 articles for “Lab Experiment”
-
A Review on Implementation of Lean Manufacturing in Maize Grinding Mill Assembly Line
Abstract: At present scenario, lean manufacturing has become a worldwide phenomenon. It is quite successful in drawing the attention of companies of all sizes. A large number of organizations are following the lean technologies and experiencing vast improvements in quality, production, customer service and profitability. Lean manufacturing is a systematic approach to identify and eliminate the waste through continuous improvement. The manufacturing industry in India must also look to leverage its …
Published in Journal of Industrial Safety Engineering · Vol. 3, Issue 1, 2016 · pp. 10–14 Read article
-
A non experimental descriptive study to assess the Support of Husbands to their wives with pregnancy induced hypertension during antenatal Period attending antenatal outpatient department, at selected hospitals, in Pattukkottai, at Tanjore district
Abstract: AbstractBackground: Pregnancy is one of the most precious and joyful moment in every couple’s married life but not all of them undergoes a period of joyful overcoming due to the risks being developed during the period of pregnancy. To some extent, the pregnant women get support from the spouses and their family but not all the pregnant women get this privilege of support. Moreover, antenatal women with pregnancy induced hypertension …
Published in Research and Reviews: A Journal of Health Professions · Vol. 10, Issue 2, 2020 · pp. 1–4 Read article
-
Reformulating Value Added Ratio Using a Construction Job Site Case Study
Abstract: Lean principles have already been successfully implemented in reducing wastage in manufacturing industries such as automobile industry. The present work focuses on application of lean principles at micro level in a quality control lab of a highway project in order to increase the productivity and decrease the proportion of non-value adding time. The total time was broadly categorized into five different categories namely, moving time, waiting time, setup time, process …
Published in Journal of Construction Engineering, Technology & Management · Vol. 6, Issue 1, 2016 · pp. 61–69 Read article
-
Evaluation And Demonstration of MAR1495 And Local Strain (SB-12) on Soybean Yield At Gofa Woreda Southern Nation Nations Nationalities and Peoples of Ethiopia
Abstract: Soybean is the most important legume crop in the world which can be used for human food source, animal feed, soy milk production, oil production as well as for soil fertility improvement by fixation of nitrogen. The benefits apiece use of Rhizobium inoculants show that a completely good deal of services may be saved by borderline labourers by utilizing quality proven inoculants on the farm. Rhizobia immunization to seeds is …
Published in Research & Reviews : Journal of Botany · Vol. 13, Issue 2, 2024 · pp. 52–59 Read article
-
Review on CBIR Image Based on Colour, Texture and Shape Features of Biomedical Image Applications
Abstract: This study seeks to understand how different image enhancing methods affect the sensitivity of contrast-based textural measures and morphological traits derived from high-resolution satellite data (three-band SPOT-5). The built-up/non-built-up detection framework is the backbone of every biomedical application. Using supervised learning while working with a low-resolution reference layer reduces uncertainty and boosts the reference layer's quality in a roundabout way. The image's histogram is recalculated based on contrast in order …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 11, Issue 1, 2024 · pp. 8–13 Read article
-
Deep Learning Applications in Bone Fracture Detection for Improved Radiographic Diagnostics
Abstract: Bone fracture detection is a critical aspect of medical diagnostics, traditionally relying on manual interpretation of radiographic images by experienced radiologists. This discipline has undergone a revolution with the introduction of machine learning (ML), which can improve accuracy, shorten diagnosis times, and lessen human error. This study investigates the use of different machine learning methods to enhance and automate the identification of bone fractures in radiography pictures. We utilized a …
Published in International Journal of Optical Innovations & Research · Vol. 2, Issue 2, 2024 · pp. 17–22 Read article
-
Evaluating the Optimal Alccofine-1203 Replacement Ratio in M20 Grade Concrete
Abstract: The primary objective of this research is to investigate the potential of partially replacing cement with Alccofine 1203 in M20 grade control concrete and to evaluate the resulting effects on the mechanical properties of the concrete. Alccofine 1203, a high-performance mineral admixture known for its ultrafine particle size and high reactivity, was used as a partial cement substitute at varying replacement levels of 5%, 10%, and 15% by weight of …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 294–299 Read article
-
Accelerating Unsupervised Feature Learning: Parallelized Training of Denoising Autoencoders
Abstract: Unsupervised representation learning has become a cornerstone of contemporary machine learning, enabling algorithms to extract informative features from un-labelled, high-dimensional data. This work investigates the efficacy of stacked denoising autoencoders (SDAEs) trained via parallelized stochastic gradient descent (SGD) as a scalable approach to feature extraction. By strategically leveraging multi-threaded computation, our study systematically examines the trade-offs between increased parallelism, training efficiency, and the preservation of model accuracy. Experiments on the …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 3, 2025 · pp. 56–64 Read article
-
Physical Modeling of Mass Transport Processes in Extraterrestrial Landscapes
Abstract: Currently the progress in physical models based on mass transport in both the Earth's surface and extraterresterial landscape has been growing. It is a frame work involving different natural and made made processes including aeline process, fluid flow process, magmal movement, Geomagnetic stroms, and clould flow modesl etc. These process encorporates Physical models and appraches which help to simulate, compute and experiment in order to reduce complexity. However, their operating …
Published in International Journal of Universe · Vol. 1, Issue 2, 2025 · pp. 47–54 Read article
-
Digital Frontiers in Life Sciences: The Transformative Role of Computing in Modern Biology
Abstract: The integration of computers in the biological sciences has revolutionized research and experimentation, facilitating advancements in areas such as genomics, bioinformatics, systems biology, and ecological modeling. The ability to process vast amounts of biological data efficiently has transformed how scientists study complex biological systems and phenomena. Computational tools enable the analysis of DNA sequences, protein structures, metabolic pathways, and ecological dynamics, which were previously beyond the reach of traditional laboratory …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 1, 2026 Read article
-
Interplay of Thyroid Dynamics in Type 2 Diabetes: A Comprehensive Analytical Study at Government Medical College, Kota, and Affiliated Hospitals
Abstract: Diabetes mellitus is a prevalent endocrine metabolic condition that causes significant morbidity and mortality globally. Innumerable metabolic processes within our bodies depend on thyroid hormones. Excess or deficiency in insulin or thyroid hormones might cause functional problems. The intricate relationship between thyroid disorders and diabetes has been recognized for a considerable period. Patients with diabetes have been known to experience thyroid malfunction, the most prevalent kind of which is hypothyroidism. …
Published in Research and Reviews: A Journal of Medicine · Vol. 14, Issue 1, 2024 · pp. 6–11 Read article
-
Polymer Encapsulants for Photovoltaic Modules: Electrical Insulation Performance and Long-Term Durability under Accelerated UV Exposure
Abstract: Influence on the reliability and service life of PV modules is a major issue, which is influenced by the encapsulant degradation in long-term exposure to the sun's ultraviolet (UV) radiation. A systematic accelerated UV aging study of Ethylene Vinyl Acetate (EVA), Polyolefin Elastomer (POE), and Polyvinyl Butyral (PVB) films under IEC 61215-2:2021 specified test chamber conditions of Q-UV is conducted. The material properties were tested at various exposure intervals including …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 384–408 Read article
-
Role of Supplementary Cementitious Materials in Enhancing Strength and Workability of Green Concrete
Abstract: This collective review of ten seminal papers on green concrete highlights the growing emphasis on sustainable construction practices through the use of recycled materials, industrial by-products, and supplementary cementitious materials (SCMs). The studies consistently demonstrate that green concrete can significantly reduce carbon emissions, enhance durability, and maintain structural integrity comparable to conventional mixes. Experimental investigations confirm the viability of incorporating fly ash, silica fume, slag, quarry dust, and recycled concrete …
Published in Journal of Construction Engineering, Technology & Management · Vol. 16, Issue 2, 2026 · pp. 16–20 Read article
-
Evaluation of Diagnostic Sensitivity of Rapid Immuno-Chromatographic Card Test (ICT) Against IgM ELISA for Serological Diagnosis of Scrub Typhus: An Experience at a Tertiary Care Centre in South-Eastern Rajasthan
Abstract: Introduction: Scrub typhus (ST) is a common but under-reported rickettsial disease in rural/sub-urban population of our country often resulting in severe complications and high mortality. Evaluation of ‘point of care’ tests like Rapid Immuno-Chromatographic Card Test (ICT) for diagnosis of ST is important to ascertain its utility in diagnosis of the disease in remote and peripheral settings. Aims: The present study was designed to evaluate the diagnostic sensitivity of Rapid …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 9, Issue 1, 2019 · pp. 85–91 Read article
-
The Impact of Bacteria and Biostimulants on Crude Oil Breakdown in Loamy Soil
Abstract: This study investigates the influence of bacteria and biostimulants—specifically Bryophyllum pinnatum leaves soaked in both water and ethanol—on the degradation of crude oil in loamy soil. A laboratory-scale bioremediation setup was employed using a batch reactor model and first-order degradation kinetics to assess total petroleum hydrocarbon (TPH) breakdown under controlled conditions. Various analytical tools and procedures, including gas chromatography (Agilent 6890) and microbial media such as nutrient agar and mineral …
Published in International Journal of Pollution: Prevention & Control · Vol. 3, Issue 2, 2025 · pp. 15–22 Read article
-
Machine Learning-Driven Polymer Composite Smart Skin for Integrated Sensing in Soft Robotic Systems
Abstract: Soft robotics has grown rapidly, but its progress is still constrained by the limitations of current sensing skins. Most polymer-based sensors provide either flexibility or sensitivity, yet they struggle to deliver real-time communication and adaptive intelligence when deployed in complex robotic environments. This disconnect between material performance and system-level responsiveness forms a critical bottleneck for practical deployment. Existing approaches often treat tactile sensing and wireless communication as separate problems. As …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 121–136 Read article
-
Production of Particle Board from Cotton Stalk
Abstract: The cotton stalks are normally disposed of by burning, which contributes to the emission of harmful greenhouse gases which pollute the environment. This study used cotton stalk for the production of particle board. The study includes collection and preparation of cotton stalk, analyzing using the ASTM method and its morphological structure, determination of proximity and chemical compositions to compare with hardwood characteristics and production of cotton stalk particle board (CSPB) …
Published in Emerging Trends in Chemical Engineering · Vol. 7, Issue 3, 2020 · pp. 23–33 Read article
-
Experimental Demonstration on the Leakage-Free Surface-Driven Capillary Flow of Red Dye
Abstract: In this work, two individual SU-8 based glass microfluidic devices are fabricated by the maskless lithography and indirect bonding technique. Commercially available red-colored food dye is used as the working liquid. Microfluidic leakage is observed between the glass lid and SU-8 based microchannel substrate due to the improper indirect bonding technique. Leakage-free surface-driven capillary flow is observed due to the proper indirect bonding technique. CMOS camera is used to capture …
Published in Journal of Catalyst & Catalysis · Vol. 5, Issue 3, 2018 · pp. 8–11 Read article
-
Design and Development of an Automatic Blower System for Improved Efficiency in Industrial Applications
Abstract: The design and development of an automatic blower system to improve productivity in manufacturing processes are presented in this research article. The suggested system employs advanced control algorithms and sensors to improve the blower's function while minimizing energy usage. The goal of the research is to automate the blower system's operation by incorporating intelligent features, which will decrease the need for human intervention and increase overall efficiency. Experimental results reveal …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 1, Issue 1, 2023 · pp. 10–14 Read article
-
Aspect-Based Sentiment Analysis Using a Hybrid Approach with Dependency Parsing
Abstract: The rapid expansion of digital communication has resulted in an unprecedented volume of consumer-generated textual data across online reviews, social media platforms, forums, and e-commerce websites. Extracting meaningful insights from this data is increasingly important for organizations seeking to understand customer opinions, preferences, and behavioral trends. Despite significant advances in sentiment analysis, many existing approaches primarily focus on surface-level features and often overlook deeper syntactic and semantic relationships within text. …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 4, Issue 1, 2026 · pp. 01–09 Read article