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20 articles for “Bottle Capping”
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Programmed Used for Bottle Filling & Capping by Utilizing PLC
Abstract: Filling is the errand that's carried out by a machine and this prepare is broadly utilized in numerous businesses that create such as drain businesses, chemical, nourishment, mineral water and numerous mechanical makes. This paper objective is to program using for maintaining the Bottle filling and capping with PLC. This work gives with a part of benefits like moo control utilization, moo operational fetched, less upkeep, exactness and numerous more. …
Published in Journal of Mechatronics and Automation · Vol. 10, Issue 3, 2023 · pp. 1–7 Read article
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REVIEW AND ANALYSIS OF AUTOMATIC WATER BOTTLE FILLING AND CAPPING MACHINE USING PLC
Abstract: Filling is an important process of the automatic machine and is used in different industry such as mineral water, beverage, chemical, food and dairy as well as pharmaceuticals. In today's manufacturing environment, with the need for higher production rates, better product quality and less manual effort, industrial automation is becoming a key requirement. The primary goal of this project is to design, develop and control an automatic bottle filling and …
Published in International Journal of Manufacturing and Production Engineering · Vol. 4, Issue 2, 2026 Read article
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Analysis of Plant for Bottleneck by Using Flexsim
Abstract: Software plays a vital role in virtual simulation. Nowadays software used in every filed like modeling, simulation, analysis, virtual reality, etc. Here, Flexsim is also an important and user-friendly tool which can be used for plant modeling, plant simulation, plant analysis. It can be used for capacity planning, bottleneck identification, routing and scheduling, plant virtual model. Also, it is used for material handling equipment analysis. Here, in this paper, we …
Published in Journal of Instrumentation Technology & Innovations · Vol. 10, Issue 3, 2020 · pp. 16–20 Read article
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To Optimize the Efficiency of Bottle Sleeving Machine by Reducing Systematic Errors
Abstract: Bottle sleeving machines are the machines use to label and sleeving the caps to the bottle. To gain the mass production and to improve the efficiency of this machine our team decided to change the parameters and proper alignment of few parts in machine. Previously, there were several errors include like systematic errors. Firstly, we change the sensors positioning to get successive operation of sleeves to the bottle. There were …
Published in Journal of Production Research & Management · Vol. 12, Issue 2, 2022 · pp. 23–29 Read article
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An Investigation into the Quality of Distillate Diesel Fuel at Selected Service Stations in Freetown’s Western Area
Abstract: As a critical energy source for global transport and industry, diesel fuel quality is of paramount importance. This study evaluates and compares the quality of diesel fuel samples by analyzing key parameters: sulfur content, density, cetane index, and kinematic viscosity. The properties of diesel fuel samples from six (6) Fuel Stations of various Oil Marketing Companies (OMCs) are compared with National Technical specifications limits of the Sierra Leone Standards Bureau, …
Published in Journal of Petroleum Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 1–14 Read article
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Solid Waste on GITAM University, Hyderabad Campus - Characterization, Quantification with Projections for Future and Disposal Methods
Abstract: The present study attempted to characterize and quantify the solid waste generated by regular student activities for a fortnight. The solid waste comprised food waste, vegetable peels, solid paper refuse, caps of cool drink bottles, plant twigs, unsorted rubbish and non-biodegradable plastic. The daily solid waste was estimated to be 0.06 ton dry weight. A questionnaire survey on the food preference by the consumers revealed fried items are of major …
Published in Research and Reviews: A Journal of Toxicology · Vol. 2, Issue 3, 2012 · pp. 15–21 Read article
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Environmental Impact Assessment of Ocean Energy Converters Using Quantum Machine Learning
Abstract: The accelerating deployment of ocean energy converters (OECs) across tidal, wave, osmotic, and thermal domains necessitates rigorous, data-intensive environmental impact assessment (EIA) frameworks capable of modelling multi-stressor marine ecosystems in real time. Classical machine learning approaches, while operationally mature, encounter scalability bottlenecks and feature correlation limitations when applied to the high-dimensional, non-linear datasets characteristic of offshore monitoring networks. This paper presents a comprehensive quantum machine learning (QML) framework for the …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 16, Issue 1, 2026 · pp. 22–31 Read article
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Next-Gen Techniques for Bottleneck Detection in High-Performance Computing
Abstract: Modern computing systems face new challenges in bottleneck detection and mitigation due to their increasing complexity which stems from multi-core architectures alongside distributed platforms and real-time processing needs. Traditional methods like hardware profiling and static analysis which used to work well now struggle to keep up with the changing conditions of dynamic system behaviors and diverse computing environments along with variable workload patterns. The current limitations restrict their capability to …
Published in Recent Trends in Parallel Computing · Vol. 12, Issue 2, 2025 · pp. 09–14 Read article
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Advanced Lithium-Ion Battery Prognostics: A Comprehensive Review of Machine Learning Approaches for Remaining Useful Life Prediction
Abstract: The lithium-ion battery (LIB), as one of the main sources for portable power systems, has been increasingly popular owing to its widespread applications in electric vehicles, consumer electronics, aerospace and renewable energy. Despite their advantages in high energy density and long cycle life, LIBs suffer from degradation over time of aging and cycling, resulting in loss of performance, safety issues, and economic bottlenecks. Predicting their Remaining Useful Life (RUL) is …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 3, Issue 2, 2025 · pp. 12–27 Read article
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Automating Compiler Optimization: A Machine Learning Approach
Abstract: This study reports on an ML-based approach to compiler optimization, complementing traditional optimization methods that rely strongly on hand-tuned settings. Compiler optimization plays a key role in performance-speedup and energy optimization of complex contemporary software systems. However, the traditional approach to optimizer settings involves laborious, error-prone, and scale-insensitive human-in-the-loop intervention, especially in the complex and high-demand environments in which today's computing application thrives. By integrating RL and GA, we can …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 1, 2025 · pp. 12–16 Read article
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Electronic Resources of University Libraries: AI-Driven Management and Optimization
Abstract: In order to maximize accessibility, utilization, and efficiency, university libraries’ growing reliance on electronic resources (ER) has prompted the creation of sophisticated management techniques. The difficulty of handling enormous volumes of data has increased as educational institutions move from conventional physical collections to massive digital repositories. A key instrument in revolutionizing library operations, artificial intelligence (AI) offers creative ways to improve retrieval methods, manage digital resources more effectively, and customize …
Published in Journal of Advancements in Library Sciences · Vol. 12, Issue 3, 2025 · pp. 8–15 Read article
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Smart Drainage Cleaning System: A Technological Intervention for Occupational Health and Urban Sanitation
Abstract: Manual drainage maintenance in urban environments remains a hazardous task, exposing sanitation workers to toxic gases, infections, and life-threatening accidents. This paper presents the development of an automated 12V Smart Drainage Cleaning System designed to eliminate manual scavenging and enhance cleaning efficiency. The robotic model operates on a 12V DC power supply, integrating an ultrasonic sensor for real time obstacle detection and automated navigation within narrow drainage pathways. The core …
Published in Journal of Industrial Safety Engineering · Vol. 13, Issue 2, 2026 · pp. 16–27 Read article
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A comprehensive study of Zn x Fe 2-x O 3 Nanoparticles for magnetic fluid hyperthermia
Abstract: Magnetic nanoparticles are the bottlenecks of nanomedicine. They are a wide area of study in nanotechnology. In this review, the role of nanotechnology in transforming ZnxFe2-xO3 nanoparticles into biomedical applications and smart healthcare systems is demystified. The synthesis and characterization of ZnxFe2-xO3 nanoparticles are scrutinized, with a focus on the advantages of hydrothermal methods and the revealing capabilities of high-resolution electron microscopy, which enable a deeper understanding of these nanoparticles' …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 14, Issue 2, 2024 · pp. 1–9 Read article
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Algorithmic Strategies for Complex Data Handling: Optimizing Data Structures for Enhanced Computational Performance
Abstract: We live in an age of big data and processing very large often complicated datasets can be crucial to efficient algorithmic performance. This paper discusses different algorithmic techniques when working with difficult data and how to arrange your information structures correctly for better functionality in large-scale methods. It checks the impact of different algorithms like sorting, searching, and hashing in boosting its processing speed as well as memory use. This …
Published in International Journal of Data Structure Studies · Vol. 2, Issue 2, 2024 · pp. 1–10 Read article
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Automatic Material Sorting and Storage using PLC
Abstract: This system is an industrial automation based application and it needs to satisfy industry requisition. Nowadays in various industry applications object sorting is done in different ways from which colour sorting is one of them. In material sorting system using Programmable Logic Controller (PLC) object are identified based on their colour through image processing. To capture the real-time image of the object camera is used. Here conveyor used is to …
Published in Journal of Microcontroller Engineering and Applications · Vol. 4, Issue 2, 2017 · pp. 17–24 Read article
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An Intelligent Complexity-Performance Tradeoff Model of Asynchronous Random Access Protocols in Distributed Edge Computing Using Software Science with Halstead
Abstract: The paradigm shift towards Distributed Edge Computing (DEC) has changed the entire world of the Internet of Things (IoT) connectivity to its core and has spawned the need to implement robust Asynchronous Random Access (ARA) protocols to deal with the contention between a huge range of diverse devices that are constrained by their resources. While there is now extensive optimization of these protocols in contemporary research for channel efficiency (throughput, …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 13, Issue 2, 2026 Read article
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Sensors and Artificial Intelligence based Intelligent Thermos
Abstract: For more than a century, the traditional thermos bottle—a passive container for temperature control—has essentially not altered. This offers a huge chance for innovation in a time when health and wellness technology are intertwined. In order to bridge the gap between basic fluid containment and proactive personal health management, this paper presents the design concept for an Intelligent Thermos, a smart hydration system. A low-power microprocessor with Bluetooth connectivity controls …
Published in Recent Trends in Sensor Research & Technology · Vol. 12, Issue 3, 2025 · pp. 37–45 Read article
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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
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Enhancing Production Line Efficiency: Simulating and Optimizing Single and Parallel Line Processes
Abstract: During a time of fast-paced industrial growth, increasing production line effectiveness is a core issue for manufacturers looking to maximize output, reduce waste, and stay competitive. This study explores the use of simulation-based optimization methods to enhance single and parallel production line designs. Stepping beyond traditional trial-and-error methods, the research utilizes Siemens Tecnomatix Plant Simulation to simulate actual manufacturing scenarios, considering intricacies like buffer capacities, machine sequencing, and event-driven scheduling. …
Published in Journal of Production Research & Management · Vol. 15, Issue 1, 2025 · pp. 22–32 Read article
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Enhanced Shell Script Optimization Techniques for Low-latency Automation in DevOps Environments
Abstract: Shell scripting remains a foundational component in system administration and DevOps automation, providing a straightforward yet powerful method for automating tasks, managing system configurations, and integrating seamlessly within continuous integration and continuous delivery (CI/CD) pipelines. These scripts serve as the backbone for many repetitive and complex tasks, enabling IT teams to execute workflows efficiently without manual intervention. As organizations continue to scale their infrastructure and adopt more complex architectures, the …
Published in Journal of Advances in Shell Programming · Vol. 11, Issue 3, 2024 · pp. 1–5 Read article