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optimization of the Collection and Concentration of Allelopathically Active Plants Root Secretions 6th

Optimization of the Collection and Concentration of Allelopa...

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6th International conference on Intelligent Computing and optimization, ICO 2023

作者： Skorokhodova, A.N. Anisimov, Alexander A. Larikova, Julia Skorokhodov, D.M. Mel’nikov, O.M. Russian State Agrarian University – Moscow Timiryazev Agricultural Academy Moscow127550 Russia

ISBN: (纸本)9783031503290

the ways of optimization of the collection and concentration of root secretions of allelopathically active plants are discussed in the article. Root exudates of plants are considered to be one of the main forms of allelochemicals. Allelopathy of this kind is typical of most plant species on our planet. they may have potential biogerbicidal activity, which is relevant for the development and implementation of new eco-friendly techniques in agricultural production. the device for collecting and concentrating root extracts of allelopathically active plants is described in the article. the activated carbon was used to collect the root secretions. the chemical structure of adsorbent is presented in the article. the schematic diagram and the 3D-model of the device have been developed in the computer-aided design system (Compass-3D) program. the technical parameters and the principle of operation of the device are review. According to the research results, the positive effect of root exudates of lupine and sunflower on the growth and development of 10-day cucumber seedlings was revealed. there was an increase in the length of the root system by 12.5% (lupin) and by 16.6% (sunflower). this reaction was also observed on the aboveground part of cucumber seedlings by 44.4% (lupin) and 56.1% (sunflower). © 2023, the Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： 3D modeling

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Comprehensive Clash Prevention in BIM Coordination Using a Rule-Based system 20th

Comprehensive Clash Prevention in BIM Coordination Using a R...

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20th International conference on Computing in Civil and Building Engineering, ICCCBE 2024

作者： Meem, Tabassum Mushtary Doukari, Omar Iordanova, Ivanka ÉTS Quebec University MontrealQcH3C 1K3 Canada Northumbria University Newcastle Upon TyneNE1 8ST United Kingdom

ISBN: (纸本)9783031842078

Achieving efficacy and economy is an ongoing pursuit for the construction industry. However, challenges within Building Information modeling (BIM) based multidisciplinary coordination and the significant occurrence of clashes within federated models hinder the full potential of this collaborative technology’s utilization in BIM-based practices . In the past, clash management strategies predominantly focused on enhancing the technical efficiency of automated clash detection tools. More recently, research in clash management has also delved into the exploration of automated clash resolution methods. However, the facet of clash presentation within the BIM process remains largely overlooked in the existing body of literature. Clash management constitutes a holistic framework encompassing prevention, detection, and resolution. Highlighting the significance of the underexplored prevention component in the current stage of clash management research bears noteworthy importance for the broader field of clash management within the framework of BIM. Analysis revealed a noteworthy connection between clash origins, their solutions, and their primary impact phases within BIM coordination. Significantly, it was determined that most clashes are rooted in the early stages of the BIM coordination process, particularly during the formulation of the BIM coordination strategy and the development of specialized BIM models. Drawing from these insights, a proactive clash prevention strategy was formulated that leverages the expertise of BIM professionals and actively incorporates the industry’s ‘lessons learned’ into the initial phases of BIM coordination. this paper delves into the compilation of "lessons learned" or "industry rules for clash prevention". these insights were validated through consultations with BIM experts and construction practitioners. the dimensions of these rules, their application phases, and the methods of implementation were also identified. Additionally, the devel

关键词： Information management

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20th International conference on Information Processing and Management of Uncertainty in Knowledge-Based systems, IPMU 2024

20th International Conference on Information Processing and ...

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20th International conference on Information Processing and Management of Uncertainty in Knowledge-Based systems, IPMU 2024

ISBN: (纸本)9783031739996

the proceedings contain 33 papers. the special focus in this conference is on Information Processing and Management of Uncertainty in Knowledge-Based systems. the topics include: Graphical Causal Models with Discretized Data and Background Information;enhancing the Intelligibility of Boolean Decision Trees with Concise and Reliable Probabilistic Explanations;towards an Interpretable Fuzzy Approach to Experimental Design;from Default to Analogical and Paralogical Reasoning. Logics of Pairs and their Multiple-Valued Extensions;lot Sizing Problem Under Lead-Time Uncertainty;forced Periodic Optimal Scheduling Policy for Graph Reinforcement Learning;similarity Relations Based Numerical Algorithm for Solving Maximin Problems;possibilistic Approach for Meta-analysis;Dual Resource Flexible Job Shop Scheduling Problems: the xBTF Algorithm;information Retrieval Using Fuzzy Fingerprints;Handling Veracity of SVM Predictions;interval Criterion-Based Evidential Set-Valued Classification;analysis of the φ-Index of Inclusion Restricted to a Set of Indexes;enhancing Bayesian Network Structural Learning with Monte Carlo Tree Search;from Quantifying and Propagating Uncertainty to Quantifying and Propagating Both Uncertainty and Reliability: Practice-Motivated Approach to Measurement Planning and Data Processing;extending Idioms for Bayesian Network Construction with Qualitative Constraints;optimizing Causal Interventions in Hybrid Bayesian Networks: A Discretization, Knowledge Compilation, and Heuristic optimization Approach;visualization of Preference Matrices for Labeled Objects;assessing Causal Graph Uncertainty and Optimized Multivariate Discretization Strategy;exploring Word Embedding in modeling Risk Perception;similarity of Concepts in Weighted Knowledge Graphs;evidential Linear Regression for Soft Detrended Fluctuation Analysis;COPILS: COmParIson of Linguistic Summaries;groupoids in Categories of Fuzzy Topological Spaces with Continuous Fuzzy Relations;preface;On the Use of Mo

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Image Quality Assessment Method Based on Cross-Modal 20th

Image Quality Assessment Method Based on Cross-Modal

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20th Pacific Rim International conference on Artificial Intelligence, PRICAI 2023

作者： Long, Teng Chen, Li Wang, Yubo School of Computer Science and Technology Wuhan University of Science and Technology Hubei Wuhan430065 China Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System Wuhan University of Science and Technology Hubei Wuhan430065 China

ISBN: (纸本)9789819970247

Deep learning methods have achieved remarkable results in the direction of image quality assessment tasks. However, most of the related studies focus only on image unimodal, ignoring the potential advantages that come with the development of cross-modal techniques. Cross-modal models have implied a wealth of information, which provides new research directions and possibilities in the field of image quality assessment. In this paper, the feasibility of cross-modal models in image quality assessment is first explored for the image quality binary classification task. Subsequently, the optimization prompting method is combined with the tuning of the image encoder in the cross-modal model so that the cross-modal model can be used for image quality assessment scoring. To verify the feasibility of the cross-modal model on the image quality assessment task, an empirical analysis was conducted on the binary image quality dataset PQD, and it was found that the F1 score improved by 18% over the baseline model. Further, we propose an adaptive cross-modal image quality assessment method AC-IQA. On the image quality scoring dataset, compared with the previous optimal methods, AC-IQA improves the PLCC and SROCC metrics on the TID2013 dataset by 5.5% and 9.5%, respectively, and on the KADID dataset by 6.2% and 5.2%. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2024.

关键词： Image quality

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20th International conference on Information Processing and Management of Uncertainty in Knowledge-Based systems, IPMU 2024

20th International Conference on Information Processing and ...

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20th International conference on Information Processing and Management of Uncertainty in Knowledge-Based systems, IPMU 2024

ISBN: (纸本)9783031739965

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optimization-based design of fractional PID controllers for MISO systems

Optimization-based design of fractional PID controllers for ...

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IEEE SSD International Multi-conference on systems, Signals and Devices

作者： Noura Ben Moussa Manel Chetoui Messaoud Amairi

In this paper, the problem of MISO systems control is studied. Two new methods are developed to design fractional PID controllers. the first one is based on the use of time-domain specifications (percentage of overshoot and setting time). It consists of minimizing a time-domain criterion without constraints. the second method is based on the use of frequency-domain specifications (phase margin φ m and unity-gain crossover frequency ω u ). It consists of minimizing a frequency-domain criterion with respect to constraints. In both methods, a nonlinear optimization technique is used to tune the parameters of all SISO fractional PID controllers designed for all SISO subsystems composing the MISO system. the performances of fractional PID controllers are analyzed through a numerical example. they are compared to the performances obtained by the rational PI controllers.

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TEMPERATURE DETECTABLE SURFACE COATING AND SELF-SENSING system WIth CARBON NANO-TUBE/EPOXY COMPOSITES 20

TEMPERATURE DETECTABLE SURFACE COATING AND SELF-SENSING SYST...

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20th European conference on Composite Materials: Composites Meet Sustainability, ECCM 2022

作者： Lee, Seung-Jun Jung, Yu-Jin Jang, Sung-Hwan Department of Civil and Environmental Engineering Hanyang University Seoul Korea Republic of Department of Smart City Engineering Hanyang University ERICA Ansan Korea Republic of Department of Civil and Environmental Engineering Hanyang University ERICA Ansan Korea Republic of

ISBN: (纸本)9782970161400

In the machinery and construction industry, heat is a major factor causing damage and destruction. the safety and efficiency of most machines and structures are greatly affected by temperature, and temperature management and control are essential. In this study, a carbon nanotube (CNT) based temperature sensing coating that can be applied to machines and structures having various structural types were fabricated, and characteristics analysis and temperature sensing performance were evaluated. the temperature sensing coatings is composed of carbon nanotubes (CNT) and epoxy. Structural and electrical properties of CNT/epoxy coatings were analyzed through electron microscopy, and temperature sensing performance was evaluated according to the temperature change. As a result of the experiment, the CNT/epoxy coatings showed higher electrical conductivity as the CNT concentration increased. In addition, CNT/epoxy coatings exhibit high sensitivity in high and freezing temperature ranges. therefore, the proposed CNT/epoxy coatings are promising for use as a material for high and freezing temperature sensing. © 2022 Lee et al.

关键词： Carbon nanotubes

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Sequential linear programming-based parameter optimization of dynamic reactive power compensation devices for security enhancement and new energy power transmission increasing

Sequential linear programming-based parameter optimization o...

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20th International conference on AC and DC Power Transmission 2024 (ACDC 2024)

作者： Pengfei Xu Dunwen Song Yunting Song Lin Cheng Jiazheng Xie China Electric Power Research Institute Beijing 100192 People’s Republic of China Northwest Branch of State Grid Corporation of China Xi'an 710048 People’s Republic of China

ISBN: (数字)9781837241552

To enhance security and increase inter-area power transmission capacity of sending-end power systems of large-scale new energy, a systemic approach is proposed of parameter optimization of dynamic reactive power compensation devices of Synchronous Condenser (SC) and Static Var Generator (SVG) in new energy power stations. the critical contingencies that restricting transmission capacity is screened out for the purpose of variable number reduction. Meanwhile, controlled and control variables are reduced through checking of fulfilment of stability and fault ride through requirements and evaluation of trajectory sensitivities. A quadratic optimization model is established, whose objective function is minimization of the difference between the voltage response and expectation curve under critical contingencies. the established quadratic model is linearized by Taylor’s series expansion and solved sequentially accompany with multiple calling of the transient simulation. the proposed approach is tested in a real power system with large scale new energy power and Ultra-High Voltage DC (UHVDC) and Ultra-High Voltage AC (UHVAC) lines for inter-area transmission. the optimized parameters of SVG and SC are applied and the results prove that they can make voltage fulfil the requirements under critical contingencies, enhance the security and increase the inter-area transmission capacity.

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Queueing system with Two Types of Customers and Limited Processor Sharing 1

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20th International conference on Information Technologies and Mathematical Modelling, ITMM 2021

作者： Klimenok, Valentina Dudin, Alexander Boksha, Viktor Department of Applied Mathematics and Computer Science Belarusian State University Minsk220030 Belarus

ISBN: (数字)9783031093319

ISBN: (纸本)9783031093302

In this paper a processor-sharing queueing system is investigated. Two types of customers enter the system according a marked Markovian arrival process. It is assumed that the number of customers of each type simultaneously being serviced is limited. the service times of customers have a phase type distribution the parameters of which depend both on the type of a customer and on the number of customers of this type in the system. the operation of the system is described in terms of a multi-dimensional Markov chain. We calculate the stationary probabilities, the main performance characteristics of the system and derive the Laplace–Stieltjes transform of the sojourn time distribution. We also present illustrative numerical examples to show the behavior of the performance measures of the system and to solve numerically an optimization problem. © 2022, Springer Nature Switzerland AG.

关键词： Sales

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Fast and Reliable Stand-Up Motions for Humanoid Robots Using Spline Interpolation and Parameter optimization 20

Fast and Reliable Stand-Up Motions for Humanoid Robots Using...

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20th International conference on Advanced Robotics (ICAR)

作者： Stelter, Sebastian Bestmann, Marc Hendrich, Norman Zhang, Jianwei Univ Hamburg Dept Informat Hamburg Germany

ISBN: (纸本)9781665436847

Reliability and robustness to external influences are important characteristics for using humanoid robots outside of laboratory conditions. this paper proposes a closed-loop system to let the robots recover from falling over using stand-up motion trajectories based on quintic spline interpolation. By applying IMU-based PD controllers, faster and more reliable motions can be executed. the paper also explores the usage of parameter optimization methods, which can find suitable parameter sets quickly and are able to find solutions that are unlikely to be discovered via manual search.

关键词： Anthropomorphic robots

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