检索结果-内蒙古大学图书馆

25th International Middle East Power System Conference, MEPCON 2024

作者： Aboelmagd, Mohamed R. Selim, Ali Abdel-Akher, Mamdouh Aswan University Faculty of Engineering Department of Electrical Engineering Aswan Egypt Almaaqal University Department of Control and Computer Engineering Dep. Basra Iraq

ISBN: (纸本)9798350379648

In addition to its use in building and agriculture, global solar irradiance is one of the most critical aspects in designing and considering any solar station's volume. Because the Iraqi metrological organization and seismology lack exact information regarding irradiance, this project aims to use historical global data, develop numerical analysis using artificial neural networks, and forecast hourly irradiance. The test is run over Basra to determine references to their nearest places. The learning technique in this study is a forward neural network (FNN) and time series neural network. Their comparison depends on seven input variables: temperature, wind speed, wind direction, sunshine duration, and date. One of the most essential integrated and impactful events for managing the system of new and renewable energy sources in the power grid is accurate solar energy forecasting. The study offers a valuable method for forecasting solar energy generation using neural networks. It is difficult to apply neural networks to anticipate PV power generation because of the unpredictability of variations in the weather;unlike traditional mathematical models, which struggle to handle complicated nonlinear interactions and provide poor predictions, neural network approaches achieve superior prediction performance. The suggested forecasting model based on neural networks provides a practical means of raising the accuracy of PV generation estimation. © 2024 IEEE.

关键词： Solar irradiance

来源：评论

学校读者我要写书评

暂无评论

Corwdsourced Task Recommendation via Link Prediction 18th

Corwdsourced Task Recommendation via Link Prediction

引用

18th CCF Conference on computer Supported Cooperative Work and Social Computing, ChineseCSCW 2023

作者： Yu, Song Pan, Qingxian Li, Li School of Computer and Information Science Southwest University Chongqing400715 China School of Computer and Control Engineering Yantai University Shandong264005 China

ISBN: (纸本)9789819996391

Mobile crowdsourcing (MCS) can solve problems that are difficult for computers to solve accurately or efficiently. Current crowdsourcing workers face the challenges of overload, task recommendation is presented to deal with the above issue. The existing MCS task recommendation methods only consider the workers themselves, without taking the potential relationships between workers and workers and tasks, which may fail to grasp the long-term behavioral preferences of workers and cannot solve the cold start problem efficiently. To solve the above problems, this paper proposes a task recommendation method based on heterogeneous graph link prediction. First, we try to obtain the connection relationships between crowdsourcing tasks and workers and build a worker-task heterogeneous graph accordingly. Then, majority voting and DeepWalk are used to generate initial node features of workers. Second, we design two efficient message passing mechanisms to aggregate and update node features between task and worker nodes to explore the potential relationships between nodes. Finally, we obtain attention weights among nodes and use Bi-GRU to capture the long-term behavioral preferences of workers and recommend appropriate tasks to workers based on the similarity between workers and tasks to improve perceptual quality. Evaluations are conducted on seven real datasets. Experimental results show that our method is superior to the state-of-the-art baselines. © 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Message passing

来源：评论

学校读者我要写书评

暂无评论

An Evaluation of the Dual Vectors Based Solutions for Robot-World/Hand-Eye Calibration 1

引用

25th International Symposium on Measurement and control in Robotics, ISMCR 2023

作者： Ganciu, Aura Burlacu, Adrian Department of Automatic Control and Applied Informatics Faculty of Automatic Control and Computer Engineering "Gheorghe Asachi" Technical University of Iași Iași Romania

ISBN: (数字)9783031510854

ISBN: (纸本)9783031510847

The hand-eye calibration problem represents a major challenge in robotics, arising from the widespread usage of robotic systems along with robot-mounted sensors. Briefly, consisting of estimating the position and orientation of a visual sensor (usually a camera attached to the robot’s end-effector) with respect to the robot itself, calibration is critical in tracking rigid bodies—a common task within mixed reality applications. Hand-eye calibration implies solving the problem formulated as AX = XB or AX = YB equations. The solution lies in computing the unknown homogeneous transformation matrices X and Y, given the A and B parameterizations of rigid body motions. We present the dual vectors based approaches for AX = XB and AX = YB calibration problems, making use of the isomorphism between the special Euclidean group and the orthogonal dual tensor group. Comparisons with state-of-the-art algorithms are used to assess our obtained results. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Mixed reality

来源：评论

学校读者我要写书评

暂无评论

Analysis of the spatiotemporal trends and influencing factors of Hyphantria cunea in China

引用

Journal of Forestry Research 2024年第6期35卷 294-305页

作者： Hongwei Zhou Chaoqun Gong Xiaodong Li Yue Wang Yunbo Yan College of Computer and Control Engineering Northeast Forestry UniversityHarbin 150040People’s Republic of China Key Laboratory of National Forestry and Grassland Administration On Forest and Grassland Pest Monitoring and Warning Center for Biological Disaster Prevention and ControlNational Forestry and Grassland AdministrationShenyang 110034People’s Republic of China

In recent years,the situation of the Hyphantria cunea(Drury)(Lepidoptera:Erebidae),infestation in China has been serious and has a tendency to continue to spread.A comprehensive analysis was carried out to examine the spa-tial distribution trends and influencing factors of *** analysis involved integrating administrative division and boundary data,distribution data of ***,and envi-ronmental variables for *** and gravity analysis techniques were employed for data processing and *** results show that *** exhibited high aggregation patterns in 2021 and 2022 concentrated mainly in eastern *** these years,the focal point of the infestation was in Shandong Province with a spread towards the *** such as high vegetation density in eastern China provided favorable situations for growth and development of *** China,the spatial distribution of the moth is primarily influenced by two critical factors:precipitation during the driest month and *** play a pivotal role in determining the spread of the *** on these results,suggestions are provided for a mul-tifaceted approach to prevention and control of *** infestation.

关键词： Hyphantria cunea Temporal trends GeoDetector spatial analysis Spatial heterogeneity

来源：评论

学校读者我要写书评

暂无评论

Autonomous WSNs node powered by a thermal energy harvester for temperature monitoring

引用

International Journal of Ambient Energy 2023年第1期44卷 1058-1066页

作者： Zhang, Zhijuan Ji, Xiaoming Zhang, Qunjun Hou, Liqun School of Electrical and Electronic Engineering North China Electric Power University Baoding China School of Control and Computer Engineering North China Electric Power University Baoding China

An autonomous wireless sensor networks (WSNs) node powered by a thermal energy harvester with MPPT is proposed in this paper for temperature monitoring. Two commercial TEG modules are used to build up the thermoelectric collector, while an energy management circuit with a DC/DC converter is employed to boost the TEG output voltage. The harvested energy is stored in a supercapacitor. The feasibility of the presented self-powered WSNs node is verified by a series of experiments with various node sleep periods and temperature differences across the thermoelectric generator (ΔT TEG). The results show that the proposed thermal energy harvester can work at its maximum power point and autonomously power a commercial WSN node when ΔT TEG is above 13.3°C and node sleep period is not less than 1.5 s. In addition, the designed self-powered WSNs node can monitor the temperature of industrial devices successfully. © 2023 Informa UK Limited, trading as Taylor & Francis Group.

关键词： Thermal energy

来源：评论

学校读者我要写书评

暂无评论

Quadruped Stanford Pupper Type Robot Modeling and Simulation 18

Quadruped Stanford Pupper Type Robot Modeling and Simulation

引用

18th Iberian Conference on Information Systems and Technologies, CISTI 2023

作者： Mija, Nelu Leba, Monica Rus, Cosmin Muntean, Emanuel University of Petrosani UPET Department of System Control and Computer Engineering Petrosani Romania

ISBN: (纸本)9789893347928

Nowadays there are many research efforts in the field of artificial intelligence applied in all the fields of robotics. There are developed and trained new models both supervised and unsupervised learning. ln order to be able to get a reliable final product, a very important step is modeling and simulation. This paper focuses on the analysis of a quadruped robot, Stanford Pupper type, for which the mathematical model for the locomotor system was developed in order to be then implemented in a simulator that allows the development of machine learning algorithms for training it. There can be implemented in the simulator various use cases, like: learning to walk both supervised and unsupervised scenarios, learning to navigate on a zone with uneven surface and with small obstacles, or learning to climb stairs or other big obstacles. © 2023 ITMA.

关键词： Musculoskeletal system

来源：评论

学校读者我要写书评

暂无评论

Optimization of synthetic oscillatory biological networks through Reinforcement Learning

Optimization of synthetic oscillatory biological networks th...

引用

2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023

作者： Giannantoni, Leonardo Savino, Alessandro Di Carlo, Stefano Politecnico di Torino Control and Computer Engineering Department Torino10129 Italy

ISBN: (纸本)9798350337488

In the expanding realm of computational biology, Reinforcement Learning (RL) emerges as a novel and promising approach, especially for designing and optimizing complex synthetic biological circuits. This study explores the application of RL in controlling Hopf bifurcations within ODE-based systems, particularly under the influence of molecular noise. Through two case studies, we demonstrate RL's capabilities in navigating biological systems' inherent non-linearity and high dimensionality. Our findings reveal that RL effectively identifies the onset of Hopf bifurcations and preserves biological plausibility within the optimized networks. However, challenges were encountered in achieving persistent oscillations and matching traditional algorithms' computational speed. Despite these limitations, the study highlights RL's significant potential as an instrumental tool in computational biology, offering a novel perspective for exploring and optimizing oscillatory dynamics within complex biological systems. Our research establishes RL as a promising strategy for manipulating and designing intricate behaviors in biological networks. © 2023 IEEE.

关键词： bifurcation analysis biological oscillator computational biology optimization reinforcement learning synthetic biology

来源：评论

学校读者我要写书评

暂无评论

Applications of Reinforcement Learning in Three-phase Grid-connected Inverter 13

Applications of Reinforcement Learning in Three-phase Grid-c...

引用

13th IEEE International Conference on CYBER Technology in Automation, control, and Intelligent Systems, CYBER 2023

作者： Li, Canming Control and Computer Engineering North China Electric Power University Beijing China

ISBN: (纸本)9798350315196

The grid-connected inverter is a key energy conversion device for grid-connected new energy and is widely used in distributed power generation system. However, the traditional control strategy has many limitations in the aspects of stability, system voltage and frequency adjustment, a large amount of renewable energy connected to the grid may cause power and frequency oscillation that threaten the stable operation of the grid. To solve this problem, an adaptive and optimal control method based on reinforcement learning and adaptive dynamic programming (ADP) is implemented for VSG three-phase grid-connected inverter. The method establishes a mathematical model of a VSG-based grid-connected inverter, and transformed into a standard linear quadratic regulation (LQR) optimization problem. On the basis of VSG power-frequency control, the dynamic compensation term given by the ADP algorithm is introduced into the active power loop. During the grid connection, the VSG output is optimally adjusted through the proposed adaptive optimal control strategy to reduce the system frequency fluctuation. In the case system dynamics are not known in the complex environment of grid-connected inverters, deep deterministic strategy gradient (DDPG) is used to replace the ADP algorithm in this paper. Finally, the effectiveness of the method is verified in the Simulink platform. © 2023 IEEE.

关键词： Reinforcement learning

来源：评论

学校读者我要写书评

暂无评论

Modeling and Simulation of Electric Vehicle Driveline 18

Modeling and Simulation of Electric Vehicle Driveline

引用

18th Iberian Conference on Information Systems and Technologies, CISTI 2023

作者： Rus, Cosmin Leba, Monica Risteiu, Marius Nicolae Marcus, Razvan University of Petrosani UPET Department of System Control and Computer Engineering Petrosani Romania

ISBN: (纸本)9789893347928

Electric vehicle drivetrain modeling and simulation is a crucial aspect of electric vehicle design and development. A driveline is responsible for transferring power from the motor to the wheels, and the modeling and simulation process helps optimize the drivetrain design for efficiency, performance and safety. This paper presents in an extended manner the design and mathematical modeling of a dynamic transmission system of an electric vehicle. The mathematical model was simulated in Matlab Simulink and the obtained results were the basis of the implementation of the entire system in a small vehicle with offroad capabilities. This work is part of a larger project that has as its objective the creation of a complete electric vehicle starting from the design part and up to the testing on the roads. © 2023 ITMA.

关键词： Electric vehicles

来源：评论

学校读者我要写书评

暂无评论

GRAIGH: Gene Regulation accessibility integrating GeneHancer database

GRAIGH: Gene Regulation accessibility integrating GeneHancer...

引用

2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023

作者： Martini, Lorenzo Bardini, Roberta Savino, Alessandro Di Carlo, Stefano Politecnico di Torino Control and Computer Engineering Department Torino10129 Italy

ISBN: (纸本)9798350337488

Single-cell assays for transposase-accessible chromatin sequencing data represent a potent tool for exploring the epigenetic heterogeneity within cell populations. Despite their power, understanding the chromatin accessibility landscape poses challenges. This study introduces Gene Regulation Accessibility Integrating GeneHancer (GRAIGH), a novel approach to interpreting genome accessibility by integrating information from the GeneHancer database, detailing genome-wide enhancer-to-gene associations. Initially, we outline the methods for integrating GeneHancer with scATAC-seq data. This involves creating a new matrix where GeneHancer element IDs replace traditional accessibility peaks as features. Subsequently, the paper assesses the method's ability to analyze data and detect cellular heterogeneity. Notably, our findings demonstrate the selective accessibility of GeneHancer elements for distinct cell types, with connected genes serving as precise marker genes. Furthermore, we explore the specificity of GeneHancer element accessibility, highlighting their high selectivity against gene activity. This investigation underscores the potential of Gene Regulation Accessibility Integrating GeneHancer in unraveling the complexities of chromatin accessibility, offering insights into the nuanced relationship between accessibility and cellular heterogeneity. © 2023 IEEE.

关键词： Bioinformatics Enhancers GeneHancer scATAC-seq

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：