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1971 articles for “time study” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Comprehensive Analysis of Counting by Sorting
Abstract: Sorting algorithms play an important role in computer science, as they facilitate the effective organization and retrieval of data. Counting sort is a non-comparative integer sorting algorithm that works well with a limited number of integers known beforehand. The process, advantages, and limitations of this sorting algorithm were investigated in this study. Unlike other comparison-based sorting algorithms, counting sort achieves a time complexity of O(n+k), which depends on the input …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 11, Issue 2, 2024 · pp. 1–6 Read article
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Study on the Response of Strengthening Strategies for Masonry-Infilled Open Ground Storey Framed Building
Abstract: The strengthening of reinforced concrete (RC) frame buildings with masonry-infill wall and with open ground storey is a very timely and significant topic because of the poor performance against seismic action. The absence of infill walls in the ground storey makes the ground storey less stiff and weaker than the all upper story’s which results in a poor performance against lateral loads. Soft storey mechanism prevails in these cases and …
Published in Journal of Structural Engineering and Management · Vol. 8, Issue 2, 2021 · pp. 22–37 Read article
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The Future of Robotics: A Review of AI-Enabled Robotics Research, Development, and Applications
Abstract: Robotics powered by artificial intelligence (AI) is transforming contemporary industries by empowering machines to learn, adapt, and operate on their own in intricate, changing contexts. The breadth and capabilities of automation have been greatly expanded by the convergence of AI technologies with robots, including machine learning, deep learning, computer vision, and natural language processing (NLP). With an emphasis on technological advancements, application areas, and research advances, this study examines current …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 3, Issue 2, 2025 · pp. 33–38 Read article
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Comparative Study of Rocuronium Bromide and Succinylcholine Regarding Ease of Intubating Conditions and Hemodynamic Parameters for Rapid Sequence Intubation in Adults
Abstract: Background: Rapid Sequence Intubation (RSI) is an airway management procedure designed to quickly secure the airway while reducing the likelihood of gastric aspiration during anesthesia induction. For many years, Succinylcholine has been regarded as the preferred neuromuscular blocking agent for RSI because it produces muscle relaxation rapidly and has a relatively brief duration of action. However, its adverse effect profile – including hyperkalemia, bradyarrhythmias, malignant hyperthermia, and increased intracranial and …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 16, Issue 2, 2026 · pp. 33–39 Read article
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A Review on Artificial Intelligence Techniques for Analyzing Deforestation and Illegal Logging Using Satellite Imagery
Abstract: Deforestation and illegal logging remain critical environmental threats, driving biodiversity loss, climate change, and socio-economic disruption. Conventional monitoring techniques frequently do not yield real-time, large-scale insights. Recent developments in Artificial Intelligence (AI), especially in deep learning and computer vision, have revolutionized the ability to analyze high-resolution satellite images for detecting deforestation and monitoring illegal logging. This review synthesizes recent developments in AI-driven approaches, highlighting convolutional neural networks (CNNs), anomaly detection …
Published in International Journal of Satellite Remote Sensing · Vol. 4, Issue 1, 2026 · pp. 1–9 Read article
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An Analytical Study on Cybersecurity Threats and AI-Driven Mitigation Strategies in Next-Generation Smart Grids
Abstract: The increasing adoption of next-generation smart grids has introduced significant cybersecurity challenges due to their reliance on interconnected digital infrastructures and IoT-based control mechanisms. This study aims to analyze cybersecurity threats in smart grids and explore AI-driven mitigation strategies to enhance grid security and resilience. The research examines common cyber threats such as malware attacks, denial-of-service (DoS), data breaches, and insider threats while evaluating the effectiveness of AI-based solutions, including …
Published in Journal of Operating Systems Development & Trends · Vol. 12, Issue 3, 2025 · pp. 16–25 Read article
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Budgetary Control and Timely Completion of Civil Engineering Projects Through Financial Management
Abstract: Financial management is critical for dealing with time delays and cost overruns in civil engineering. The methodology adopted in this study is questionnaires distributed to different construction professionals and surveys from some sites. Professionals consulted include engineers, contractors, and clients. Results show that most projects encounter time wastages, insufficient materials, and mismanagement of resources. Numerous time and cost management strategies assist in preventing cost overrun and schedule extension in civil …
Published in Recent Trends in Civil Engineering & Technology · Vol. 12, Issue 3, 2022 · pp. 10–19 Read article
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Revitalizing São Cristóvão: Integrating Industry, Commerce, and Community for a Sustainable Urban Future
Abstract: This paper introduces a comprehensive framework for the sustainable regeneration of São Cristóvão, a historically industrial district in Rio de Janeiro, South America, which presently demonstrates significant urban deterioration, socio-economic instability, and increasing environmental hazards. Through an interdisciplinary methodology integrating spatial analysis, ethnographic profiling, environmental assessment, and stakeholder engagement, the study develops a phased master plan aimed at transforming the neighborhood into a resilient, inclusive, and economically diverse urban environment. …
Published in International Journal of Urban Design and Development · Vol. 4, Issue 1, 2026 · pp. 58–68 Read article
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A Review on Software Simulation of Thermo-electrical Generator
Abstract: AbstractEnergy plays a vital role in our environment. Everyday a new research comes to utilize the waste of energy. In our power plants and automobiles, lot of thermal energy is released into atmosphere, which is wasted and generates global warming. To enhance this process and for the utilization of energy, Thermo-electrical devices are used. Thermo-electrical devices utilize the thermal energy of the exhausts and convert it into electrical energy, to …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 9, Issue 3, 2019 · pp. 6–12 Read article
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Intelligent Design Approaches in Microwave Engineering Using Machine Learning Techniques
Abstract: In microwave engineering, machine learning (ML) has become a potent technology allowing quicker design cycles, improved modelling accuracy, and automatic optimisation of complicated systems. Recent developments in the use of ML methods to microwave components and systems, including antennas, filters, and high-frequency circuits, are summarised in this study. In the framework of electromagnetic simulation, surrogate modelling, and parameter extraction, supervised and unsupervised learning algorithms are addressed. Moreover, the study looked …
Published in Journal of Microwave Engineering and Technologies · Vol. 12, Issue 2, 2025 · pp. 31–38 Read article
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Performance Based Seismic Evaluation of G+12 RCC Structures in Seismic Zone IV with and without Corner Shear Walls Considering Soil Types I, II, and III
Abstract: Seismic behavior of multi-storey buildings is significantly influenced by structural stiffness and supporting soil conditions. This study investigates the seismic response of a G+12 reinforced concrete building by comparing two structural configurations, namely buildings with shear walls and buildings without shear walls, under three soil conditions: Type I, Type II, and Type III soils. The analysis is carried out using the response spectrum method in accordance with IS 1893 (Part …
Published in Recent Trends in Civil Engineering & Technology · Vol. 16, Issue 2, 2026 · pp. 1–14 Read article
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A study to assess the effect of nature-based sound therapy during weaning among Mechanically Ventilated patients admitted in intensive care units of a selected tertiary care hospital Ludhiana, Punjab
Abstract: Weaning is a gradual transition from full invasive ventilatory support to spontaneous ventilation with minimal support. This conducted to assess the effect of nature-based sound therapy among Mechanically Ventilated Patients admitted in Intensive Care units. An experimental design (randomized controlled trial) was used to assess the effect of nature-based sound therapy during weaning among Mechanically Ventilated patients.30 patients were drawn from the target population by using convenience sampling technique and …
Published in Research and Reviews : Journal of Surgery · Vol. 13, Issue 1, 2024 · pp. 44–48 Read article
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Investigating the Impact of Robotics and Automation on Manufacturing Technology
Abstract: Automation and automated machines have dramatically enhanced quality, productivity, and efficiency in industries such as manufacturing at the past few decades. The current research looks at the ways robotics and automation are impacting industrial technologies. The investigation offers an in-depth analysis of the advantages and difficulties connected with the incorporation of robots and automation in industrial processes by evaluating pertinent literature, case studies, and statistics. Conclusions of this research effort …
Published in International Journal of Manufacturing and Production Engineering · Vol. 1, Issue 1, 2023 · pp. 33–38 Read article
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Adaptive Machine Learning Framework for Navigation Control of Autonomous Drones
Abstract: The rise of autonomous drones has expanded UAV applications across sectors like surveillance, delivery, agriculture, and rescue operations. However, traditional navigation systems face limitations in adapting to dynamic environments. This study proposes an AI-driven adaptive navigation framework that leverages real-time sensor data, reinforcement learning, and adaptive control strategies to enhance drone autonomy, scalability, and security. The system processes mission inputs, environmental data (from LiDAR, cameras, GPS, and weather sensors), and …
Published in Journal of Microwave Engineering and Technologies · Vol. 12, Issue 3, 2025 · pp. 1–7 Read article
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Assessment of Reservoir Storage Capacity and Silt Deposition Using Advanced Instruments: A Case Study
Abstract: Reservoirs on the upstream side of sediment-laden river dams fill with sediment over time, lowering their storage capacity. This research focuses on advanced instrumentation techniques used to analyse storage capacity and estimate the quantity of sedimentation deposited in the reservoir at Kadana Dam, Kadana Village, Mahisagar District, Gujarat, India. During the research investigations, a multi-frequency acoustic system with frequencies of around 33 KHz and 210 KHz was employed to assess …
Published in Journal of Control & Instrumentation Read article
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Assessment of Reservoir Storage Capacity and Silt Deposition Using Advanced Instruments: A Case Study
Abstract: Reservoirs on the upstream side of sediment-laden river dams fill with sediment over time, lowering their storage capacity. This research focuses on advanced instrumentation techniques used to analyse storage capacity and estimate the quantity of sedimentation deposited in the reservoir at Kadana Dam, Kadana Village, Mahisagar District, Gujarat, India. During the research investigations, a multi-frequency acoustic system with frequencies of around 33 KHz and 210 KHz was employed to assess …
Published in Journal of Control & Instrumentation · Vol. 12, Issue 3, 2021 · pp. 27–37 Read article
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Microwave based approach for Wireless Power Transmission
Abstract: Today's fast-paced world is characterized by advances in every region, one among that is wireless charging, and gaining applications in the various files. Wireless charging is an innovative technology of transmitting power with an air gap, energy recharging as the end goal. The recent advancement in wireless charging practice, as well as the enhancement of business products, have offered it as a promising alternative for addressing the energy bottleneck of …
Published in Journal of Microwave Engineering and Technologies · Vol. 8, Issue 1, 2021 · pp. 6–9 Read article
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A Machine learning approach to asses carbon emission, utility to produce biomaterial
Abstract: The transportation sector, and the automotive industry in particular, has grown significantly over the last ten years. However, these quick advancements have also brought about important problems that require workable answers. The problem of carbon emission is responsible for global warming due to greenhouse gas emission. The present work is focused on CO2 emission from public and personal transport within Agra city on a real-time basis. In the context of …
Published in International Journal of Advanced Control and System Engineering · Vol. 3, Issue 1, 2025 · pp. 22–30 Read article
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Visual Analytics with Machine Learning for Data-Driven Investigations of Product State Transmission in Production System
Abstract: In recent years, the significance of effectiveness and productivity has grown. Furthermore, the industry has been able to improve production system performance thanks to advances in processing power and advanced analytics. A better understanding of intermediate product stages is therefore required to take the relevant measures. To highlight the importance of this field of study, a study on data-driven probabilistic ML algorithms and their real-time applications to smart energy systems …
Published in Journal of Computer Technology & Applications · Vol. 13, Issue 2, 2022 · pp. 1–7 Read article
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Selection of Maintenance Strategy Using Hybrid AHP-VIKOR Approach for a Smart Manufacturing Application in Industry 4.0
Abstract: In Industry 4.0, choosing the right maintenance strategy is important for improving machine performance, reducing downtime, and ensuring smooth operation in smart manufacturing systems. This study aims to find the most suitable maintenance strategy for a customized machine-making company by using a combination of AHP and VIKOR methods. In this study, four types of maintenance strategies are considered: breakdown maintenance, time-based maintenance, condition-based maintenance, and predictive maintenance. First, the AHP …
Published in Journal of Production Research & Management · Vol. 16, Issue 2, 2026 · pp. 1–11 Read article