Relevant bibliographies by topics / Effective method for the optimization of ACT protocols

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Academic literature on the topic 'Effective method for the optimization of ACT protocols'

Author: Grafiati
Published: 2 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Effective method for the optimization of ACT protocols"

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Divya Boya. "Modified Mother Optimization Based Online K-Means Clustering and Routing Protocol In MANET." Journal of Information Systems Engineering and Management 10, no. 22s (2025): 121–37. https://doi.org/10.52783/jisem.v10i22s.3478.

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The term Mobile Ad-hoc Network (MANET) refers to a multi-hop wireless networking system that uses mobile nodes with limited resources due to factors such as battery life, memory, and processing power. The routing in MANETs differs from traditional broadcasting networks in that the nodes act as both routers and end machines. As a result of the nodes' resource limitations, the routing protocols for MANETs must be lightweight and assume a reliable environment. This paper presents a Modified Mother Optimization based Online K-Means Clustering and Routing Protocol (MMO-OKMC) for optimal routing in
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Chen, Yukai, Khaled Sidahmed Sidahmed Alamin, Daniele Jahier Pagliari, Sara Vinco, Enrico Macii, and Massimo Poncino. "Electric Vehicles Plug-In Duration Forecasting Using Machine Learning for Battery Optimization." Energies 13, no. 16 (2020): 4208. http://dx.doi.org/10.3390/en13164208.

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The aging of rechargeable batteries, with its associated replacement costs, is one of the main issues limiting the diffusion of electric vehicles (EVs) as the future transportation infrastructure. An effective way to mitigate battery aging is to act on its charge cycles, more controllable than discharge ones, implementing so-called battery-aware charging protocols. Since one of the main factors affecting battery aging is its average state of charge (SOC), these protocols try to minimize the standby time, i.e., the time interval between the end of the actual charge and the moment when the EV is
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Yassin, Ghazwan F., and Ayad H. Abdulqader. "An Intelligent Q-Learning-Based Routing Model." International Research Journal of Innovations in Engineering and Technology 09, no. 02 (2025): 58–68. https://doi.org/10.47001/irjiet/2025.902008.

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The rising speed of data transmission requires modern technology to meet its essential requirement of network communication efficiency through effective routing techniques. Routers act as the central elements of this functionality which demonstrates why their optimal performance needs attention. This work introduces an intelligent routing design that applies machine learning approaches for network performance optimization under dynamic network environments. The fluctuating environments decrease the effectiveness of traditional routing protocols including RIP, BGP and OSPF while causing their r
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Yang, Siqi, Wenqiang Pan, Min Li, et al. "Industrial Internet of Things Intrusion Detection System Based on Graph Neural Network." Symmetry 17, no. 7 (2025): 997. https://doi.org/10.3390/sym17070997.

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Deep learning greatly improves the detection efficiency of abnormal traffic through autonomous learning and effective extraction of data feature information. Among them, Graph Neural Networks (GNN) effectively fit the data features of abnormal traffic by aggregating the features and structural information of network nodes. However, the performance of GNN in the field of industrial Internet of Things (IIoT) is still insufficient. Since the asymmetry of GNN traffic data is greater than that of the traditional Internet, it is necessary to propose a detection method with high detection rate. At pr
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Tomaszewska-Sowa, Magdalena, Anna Figas, Norbert Keutgen, and Anna J. Keutgen. "Establishing an efficient explant superficial sterilization protocol for in vitro micropropagation of bear’s garlic (Allium ursinum L.)." Herba Polonica 61, no. 4 (2015): 66–77. http://dx.doi.org/10.1515/hepo-2015-0032.

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SummaryIntroduction:Allium ursinumL. has a commercial value due to its high contents of bio-active compounds and mild, garlic-like taste.In vitroculture played an important role in obtainingAlliumspecies with the desired characteristics and in the production of healthy reproductive material.Objective:Developing an effective method of sterilization bear’s garlic bulbs.Methods:To obtain sterile shoots of garlic several methods of sterilization involving such factors as ACE, H2O2, HgCl2, and UV-C were tested.Results:In order to obtain sterile shoots of bear’s garlic, several sterilization procedu
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Zhou, Xuan Wu. "Scheme Optimization in Key Management with Cryptograph Methods." Applied Mechanics and Materials 20-23 (January 2010): 539–45. http://dx.doi.org/10.4028/www.scientific.net/amm.20-23.539.

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System optimization for key management is an essential method to facilitate the wide application of key management in cryptography protocols. In the paper, we presented a threshold recovering algorithm for key distribution protocols. In the algorithm, the private keys from KGC (Key Generating Center) is encrypted and then shared among the applier members. The attack on the encrypted private keys and the threshold scheme proves computationally infeasible with exponent complexity. Besides, the threshold recovering algorithm is independent of the KGC without leakage of private information of the
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Seshaiah Merikapudi, Tabassum Ara, Shwetha V. ,. Bhagwant Deshpande,. "Peli-Remo Optimization Algorithm for Reliable routing in MANET: K-means node clustering process and CNN based Energy Prediction." Tuijin Jishu/Journal of Propulsion Technology 44, no. 4 (2023): 3353–71. http://dx.doi.org/10.52783/tjjpt.v44.i4.1471.

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MANET, an ad hoc wireless network is made up of several nodes connected, governed by certain rules for packet movement from one node point to another. The structure of communication may be designed using a variety of protocols. For an ad hoc network, routing protocols are used to manage the connections. It must manage several issues, including supporting mobile devices and reducing overhead when nodes only have access to a portion of the resources. In order to improve the communication, this article suggests an effective MANET cluster-based routing paradigm for multimedia communication. The cl
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Osmani, Amjad, Abolfazl Toroghi Haghighat, and Shirin Khezri. "Location Update Improvement Using Fuzzy Logic Optimization in Location Based Routing Protocols in MANET." International Journal of Grid and High Performance Computing 3, no. 3 (2011): 1–19. http://dx.doi.org/10.4018/jghpc.2011070101.

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Several position-based routing protocols have been developed for mobile ad hoc networks. Many of these protocols assume that a location service is available which provides location information on the nodes in the network. This paper introduces a new schema in management of mobile nodes location in mobile ad hoc networks. Fuzzy logic optimization is applied to a better management of location update operation in hierarchical location services. Update management overhead is decreased without significant loss of query success probability. One-hop-chain-technique is used for Auto compensation. A ne
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Krupka, Magdalena, and Agnieszka I. Piotrowicz-Cieślak. "Optimization of the Method for Isolating Bacterial DNA from the Aboveground Part of Lettuce." International Journal of Molecular Sciences 25, no. 15 (2024): 8513. http://dx.doi.org/10.3390/ijms25158513.

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Developing an effective method for isolating bacterial genetic material from plants is a relatively challenging task and often does not yield adequately prepared material for further analyses. Previous studies often overlook connections, primarily focusing on laboratory investigations. With advancements in high-throughput sequencing techniques, we can now revisit and delve deeper into these interactions. Our study focuses on the initial phase of these investigations: genetic material isolation. Extracting bacterial DNA from aboveground plant parts, known as the phyllosphere, poses a significan
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Sabbatella, Antonio, Francesco Archetti, Andrea Ponti, Ilaria Giordani, and Antonio Candelieri. "Bayesian Optimization for Instruction Generation." Applied Sciences 14, no. 24 (2024): 11865. https://doi.org/10.3390/app142411865.

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The performance of Large Language Models (LLMs) strongly depends on the selection of the best instructions for different downstream tasks, especially in the case of black-box LLMs. This study introduces BOInG (Bayesian Optimization for Instruction Generation), a method leveraging Bayesian Optimization (BO) to efficiently generate instructions while addressing the combinatorial nature of instruction search. Over the last decade, BO has emerged as a highly effective optimization method in various domains due to its flexibility and sample efficiency. At its core, BOInG employs Bayesian search in
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Books on the topic "Effective method for the optimization of ACT protocols"

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Einstein, Andrew J. Radiation Considerations. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199392094.003.0034.

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Radiation considerations are an integral part of the practice of nuclear cardiac imaging. Concern regarding radiation has increased in recent years, reflected in statements by many professional societies, and likely attributable both to rapid growth in use of nuclear cardiology as well as high doses received by some nuclear cardiology patients. The fundamental principles of medical radiological protection are justification (ensuring that the right test is performed for the right patient at the right time), optimization (ensuring that the test is performed in the right manner), and dose limitat
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Book chapters on the topic "Effective method for the optimization of ACT protocols"

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"Protocols for the Detection and Proteome Analysis of the Yellow Mosaic Virus Infected Soyabean Leaves." In Protocols used in Molecular Biology, edited by Bapatla Kesava Pavan Kumar and Surapathrudu Kanakala. BENTHAM SCIENCE PUBLISHERS, 2020. http://dx.doi.org/10.2174/9789811439315120010009.

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Soybean (Glycine max) is one of the legumes, susceptible to yellow mosaic disease caused by Mungbean yellow mosaic India virus (MYMIV) and Mungbean yellow mosaic virus (MYMV) infection. The quantitative proteomic analysis allows achieving deeper knowledge about the viral infection. For quantitative proteomic analysis, two-dimensional gel electrophoresis (2D-PAGE) is the common method of choice. Optimization is required even for the published protocols based on the type of sample to be analyzed and for the proteins of interest. We compared four different published protocols with some modificati
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Osmani, Amjad, Abolfazl Toroghi Haghighat, and Shirin Khezri. "Location Update Improvement Using Fuzzy Logic Optimization in Location Based Routing Protocols in MANET." In Applications and Developments in Grid, Cloud, and High Performance Computing. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-2065-0.ch009.

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Several position-based routing protocols have been developed for mobile ad hoc networks. Many of these protocols assume that a location service is available which provides location information on the nodes in the network. This paper introduces a new schema in management of mobile nodes location in mobile ad hoc networks. Fuzzy logic optimization is applied to a better management of location update operation in hierarchical location services. Update management overhead is decreased without significant loss of query success probability. One-hop-chain-technique is used for Auto compensation. A ne
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Mamatha, R., Dr P. Lalitha Surya Kumari, and Dr A. Sharada. "MACHINE LEARNING BASED SOFTWARE PROJECTS ALLOCATION USING FLOWER POLLINATION OPTIMIZATION ALGORITHM." In Futuristic Trends in Artificial Intelligence Volume 3 Book 3. Iterative International Publishers, Selfypage Developers Pvt Ltd, 2024. http://dx.doi.org/10.58532/v3bkai3p3ch4.

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Resources are often scarce, and projects will constantly need them. The act of allocating and scheduling the available resources in the most effective and efficient way is known as resource allocation24. Therefore, a project manager's responsibility is to choose the best time for those who must adhere to the project's timetable. Allocating resources to a project In accordance with the business plan and the resources at hand, management is a continual activity that must be performed effectively. This study employs the Flower Pollination Algorithm to try to solve the resource allocation problem
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Bhar, Shanta. "Role of Drug Repurposing in Sustainable Drug Discovery." In Drug Repurposing - Advances, Scopes and Opportunities in Drug Discovery [Working Title]. IntechOpen, 2023. http://dx.doi.org/10.5772/intechopen.110621.

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The contemporary global drug discovery scenario, in spite of several technological advances, is heavily ridden with multiple challenges of a dynamic regulatory system, escalating costs from bench to bedside investigational drugs, the increased probability of withdrawal after launch, and over-stretched timelines from discovery to approval, among others. Drug repurposing/repositioning/re-profiling/re-tasking is an effective and practical complimentary method for the selection of alternate therapies for approved, shelved, discontinued/abandoned, and investigational drugs or new chemical entities,
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Zhang, Yongzhong, Hualin Liu, Weigang Huang, Zhaolong Liu, and Baohua Chang. "Identification and Characterization of High Permeability Zones Using Conventional Logging and Production Logging Data: A Case Study of Kela 2 Gas Field." In Advances in Transdisciplinary Engineering. IOS Press, 2021. http://dx.doi.org/10.3233/atde210260.

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High permeability zones in the water-drive gas reservoir tend to act as dominant channels for formation water to invade into gas reservoir from the aquifer. The presence of high permeability zones results in uneven water flow front in reservoir and early water breakthrough in gas well, which seriously affects the gas field development. In this paper, conventional logging and production logging data are used to identify and characterize high permeability zones, so as to guide the optimization of development plan of Kela 2 gas field. A method to determine the lower limit of high permeability zon
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Dudnik, Andriy, and Andriy Fesenko. "DEVELOPMENT OF THE CONCEPTUAL FRAMEWORK AND EXPERIMENTAL MODEL OF A ROBOTIC SENSOR NETWORK." In Science, technology and innovation in the context of global transformation. Publishing House “Baltija Publishing”, 2024. https://doi.org/10.30525/978-9934-26-499-3-9.

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This section presents the results of the first stage of research aimed at developing the conceptual foundations and experimental model of a robotic sensor network for monitoring emergencies and demining demilitarized zones. The main attention is paid to the creation of new principles, models and methods of functioning of sensor networks that operate on the basis of secure wireless communication protocols. An approach to the synthesis of cryptographic algorithms and noise-resistant control protocols optimized for operation in electronic warfare conditions is proposed. The section considers the
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Vasylyshyna, N. M., and N. V. Honcharenko-Zakrevska. "SECTION #2. INNOVATIVE METHODS AND TECHNOLOGIES IN THE STUDY AND TEACHING OF FOREIGN 2.1 THE EFFICIENCY OF NEW TEACHING METHODOLOGIES IN THE PROCESS OF SHAPING FOREIGN COMMUNICATIVE COMPETENCIES." In CURRENT THEORY AND PRACTICE ASPECTS OF LINGUISTICS, SOCIOLINGUISTICS AND METHODOLOGY OF FOREIGN LANGUAGES AT UNIVERSITIES IN MODERN GLOBAL HIGHER EDUCATIONAL SPACE. RS Global Sp. z O.O., 2022. http://dx.doi.org/10.31435/rsglobal/052-4.

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Learning a foreign language as if it were a mother tongue would be the ideal way, since the need to learn grammar and structures would be obviated. This is difficult if the teachers themselves are non-native and is therefore one of the most complicated aspects. Things have changed over the years, and though it was one of the most effective ways of teaching, it no longer considered the same now. This is due to various reasons, maybe because: the present generation gets exposure to the world through social media; their knowledge base is augmenting by the information available on the internet; th
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Conference papers on the topic "Effective method for the optimization of ACT protocols"

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Sahab, Alkholi, Mirzaiee Ebrahim, and Daróczi Miklós. "Implementing Lean Tools to Improve a Production Line in a Given Company." In 10th International Scientific Conference on Advances in Mechanical Engineering. Trans Tech Publications Ltd, 2025. https://doi.org/10.4028/p-8bzqhf.

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In the competitive landscape of today's automotive industry, achieving excellence is fundamental. Our paper delves into the practical application of lean manufacturing principles within a given company.Drawing on collaborative efforts with industry experts and professionals, this paper documents practical experiences gained in the field of production management. By implementing various lean tools on one of the production lines in the company, significant strides were taken towards continuous improvement, resulting in enhanced productivity, reduced lead times, and heightened customer satisfacti
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Amirkulova, Feruza A., and Andrew N. Norris. "Design of Acoustic Metamaterials Using Gradient Based Optimization." In ASME 2018 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/imece2018-88254.

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We derive formulas for the gradients of the total scattering cross section (TSCS) with respect to positions of a set of cylindrical scatterers. Providing the analytic form of gradients enhances modeling capability when combined with optimization algorithms and parallel computing. This results in reducing number of function calls and time needed to converge, and improving solution accuracy for large scale optimization problems especially at high frequencies and with a large number of scatterers. As application of the method we design acoustic metamaterial structure based on a gradient-based min
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Eltahan, Esmail, Faruk Omer Alpak, and Kamy Sepehrnoori. "A Quasi-Newton Method for Well Location Optimization Under Uncertainty." In SPE Reservoir Simulation Conference. SPE, 2023. http://dx.doi.org/10.2118/212212-ms.

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Abstract Subsurface development involves well-placement decisions considering the highly uncertain understanding of the reservoir in the subsurface. The simultaneous optimization of a large number of well locations is a challenging problem. Conventional gradient-based methods are known to perform efficiently for well-placement optimization problems when such problems are translated into real-valued representations, and special noisy objective function handling protocols are implemented. However, applying such methods to large-scale problems may still be impractical because the gradients of the
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Vogiatzis, Panagiotis, Ming Ma, Shikui Chen, and Xianfeng David Gu. "Computational Design and Additive Manufacturing of Conformal Metasurfaces by Combining Topology Optimization With Riemann Mapping Theorem." In ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/detc2017-67024.

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In this paper, we present a computational framework for computational design and additive manufacturing of spatial free-form periodic metasurfaces. The proposed scheme rests on the level-set based topology approach and the conformal mapping theory. A 2D unit cell of metamaterial with tailored effective properties is created using the level-set based topology optimization method. The achieved unit cell is further mapped to the 3D quad meshes on a free-form surface by applying the conformal mapping method which can preserve the local shape and angle when mapping the 2D design to a 3D surface. Th
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Maduni, Uresha, Chamathka Bandara, and Ruvini Mathangadeera. "Optimization of a Surface Sterilization Protocol and Determination of Hormonal Combination for In vitro Propagation of the Aquatic Ornamental Plant Echinodorus palifolius." In SLIIT INTERNATIONAL CONFERENCE ON ADVANCEMENTS IN SCIENCES AND HUMANITIES. Faculty of Humanities & Sciences, SLIIT, 2024. https://doi.org/10.54389/ocha2360.

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The in vitro propagation of Echinodorus palifolius, an aquatic plant highly valued in aquascaping, is crucial for meeting its growing demand in the global market. This study aimed to optimize the surface sterilization protocol and hormonal combination to establish in vitro propagation of Echinodorus palifolius under the specific conditions of Sri Lanka. Various sterilants, including Clorox, ethanol, and hydrogen peroxide, and different time durations were tested for leaves and roots to identify the most effective sterilization method. The study also evaluated the impact of different hormone tr
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Park, Dohyun, Jaekwang Jung, Namwook Kim, Ehsan Sabri Islam, Namdoo Kim, and Ram Vijayagopal. "Component Sizing Optimization Based on Technological Assumptions for Medium-Duty Electric Vehicles." In WCX SAE World Congress Experience. SAE International, 2024. http://dx.doi.org/10.4271/2024-01-2450.

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<div class="section abstract"><div class="htmlview paragraph">In response to the stipulations of the Energy Policy and Conservation Act and the global momentum toward carbon mitigation, there has been a pronounced tightening of fuel economy standards for manufacturers. This stricter regulation is coupled with an accelerated transition to electric vehicles, catalyzed by advances in electrification technology and a decline in battery cost. Improvements in the fuel economy of medium- and heavy-duty vehicles through electrification are particularly noteworthy. Estimating the magnitude
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Bilancia, Pietro, Giovanni Berselli, Umberto Scarcia, and Gianluca Palli. "Design of a Beam-Based Variable Stiffness Actuator via Shape Optimization in a CAD/CAE Environment." In ASME 2018 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/smasis2018-8053.

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Industrial robots are commonly designed to be very fast and stiff in order to achieve extremely precise position control capabilities. Nonetheless, high speeds and power do not allow for a safe physical interaction between robots and humans. With the exception of the latest generation lightweight arms, purposely design for human-robot collaborative tasks, safety devices shall be employed when workers enter the robots workspace, in order to reduce the chances of injuries. In this context, Variable Stiffness Actuators (VSA) potentially represent an effective solution for increasing robot safety.
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Zlatkin, Audrey, Costas Koufogazos, and Gwen Campbell. "Behavior-based performance optimization in military training environments." In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1002420.

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The quality of instruction Warfighters receive can substantially influence mission readiness. As such, it is important that military instructors develop and maintain instructional competencies to adequately promote relevant knowledge and skills among trainees. However, unlike K-12 educators, active-duty military instructors are not often provided opportunities for formal instructional training; that is, training on how to teach (Malone, Vogel-Walcutt, Ross, & Phillips, 2014). While their content, domain knowledge, and leadership skills are strong, military instructors lack “expert instruct
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Peng, Dandan, Ludovico Terzi, Wim Desmet, and Konstantinos Gryllias. "SCADA-Based Long-Term Wind Turbine Performance Degradation Analysis Based on Deep Learning Techniques." In ASME Turbo Expo 2024: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2024. http://dx.doi.org/10.1115/gt2024-128709.

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Abstract In the context of the rapid development of wind energy as a renewable resource, ensuring effective monitoring and maintenance of wind turbines is increasingly important. Despite the large volume of data collected by Supervisory Control and Data Acquisition (SCADA) systems, extracting key feature information to construct successful condition monitoring models remains a complex and challenging task. This study introduces a deep learning approach, called Convolutional Neural Network-based Support Vector Data Description (CNN-SVDD), aiming at effectively monitoring the long-term health st
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Xu, Susan, Jonisha Pollard, and Weihuan Zhao. "Optimization of the Size and Distribution of Phase Change Material (PCM) in Firefighters’ Turnout Gear." In 2024 AHFE International Conference on Human Factors in Design, Engineering, and Computing (AHFE 2024 Hawaii Edition). AHFE International, 2024. http://dx.doi.org/10.54941/ahfe1005792.

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In 2022, approximately 65,650 firefighter injuries were recorded on duty, marking an 8% rise from the 2021 tally of 60,750 injuries [1]. The majority of these injuries took place during fireground operations, with burns and thermal stress accounting for about 15% of such incidents [1]. Given this problem,a pressing need exists to advance turnout gear technology for better thermal protection for firefighters. Our proposal involves integrating phase change material (PCM) into firefighters' turnout gear to enhance its protective capabilities through utilizing the large amounts of latent heat of f
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Reports on the topic "Effective method for the optimization of ACT protocols"

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Howard, Heidi, Chad Helmle, Raina Dwivedi, and Daniel Gambill. Stormwater Management and Optimization Toolbox. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/39480.

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As stormwater regulations for hydrologic and water quality control become increasingly stringent, Department of Defense (DoD) facilities are faced with the daunting task of complying with multiple laws and regulations. This often requires facilities to plan, design, and implement structural best management practices (BMPs) to capture, filter, and/or infiltrate runoff—requirements that can be complicated, contradictory, and difficult to plan. This project demonstrated the Stormwater Management Optimization Toolbox (SMOT), a spreadsheet-based tool that effectively analyzes and plans for complian
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