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检索条件"任意字段=International Symposium Distributed Computing and Applications Business Engineering and Science"

共 3568 条记录，以下是871-880 订阅

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Real-time Energy Management of Microgrid Using Reinforcement Learning

Real-time Energy Management of Microgrid Using Reinforcement...

引用

international symposium on distributed computing and applications to business, engineering and science (DCABES)

作者： Wenzheng Bi Yuankai Shu Wei Dong Qiang Yang College of Electrical Engineering Zhejiang University Hangzhou China

ISBN: (数字)9781728197241

ISBN: (纸本)9781728197258

Driven by the development and application of smart grid and renewable energy sources (RES) generation technologies, microgrid (MG) plays an important role in environmental protection and optimization of the grid structure by integrating local loads and distributed energy. However, the stochastic and intermittent nature of RES have caused difficulties in the economic energy dispatching of MG. Inspired by reinforcement learning (RL) algorithms, this paper proposes a novel learning-based control MG scheduling strategy. Unlike traditional model-based methods that require predictors to estimate stochastic variables with uncertainties, the proposed solution does not require an explicit model. The proposed method is simulated in the environment composed of realistic data, and the effectiveness of the method is explained and verified.

关键词： Microgrids Real-time systems Discharges (electric) Load modeling Dispatching Training Reinforcement learning

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An Entropy evaluation method of hierarchical clustering

An Entropy evaluation method of hierarchical clustering

引用

international symposium on distributed computing and applications to business, engineering and science (DCABES)

作者： Quan Tu Tianyang Xu Tingting Fang Wen Wen Wang Jie Jiang Ping Zhu School of Science Jiangnan University Wuxi China

ISBN: (数字)9781728197241

ISBN: (纸本)9781728197258

Based on the agglomerative hierarchical clustering algorithm, this paper proposes a new information entropy evaluation indicator-Average Discriminant Entropy(ADE), to measure the stability of cluster structure. After that, We designed the corresponding algorithm. In order to verify the validity of the indicator, six heterogeneous artificial data sets were used to simulate. By comparing ADE with other classic evaluation indicators, we found that ADE can obtain the best results under various data sets. Finally, a Monte Carlo experiment on the data with different noise levels proved the robust of ADE.

关键词： Indexes Clustering algorithms Information entropy Entropy Uncertainty Data mining Clustering methods

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Denoise-Based Over-Sampling for Imbalanced Data Classification

Denoise-Based Over-Sampling for Imbalanced Data Classificati...

引用

international symposium on distributed computing and applications to business, engineering and science (DCABES)

作者： Wang Dan Liu Yian School of Artificil Intelligence and Computer Science Jiangnan University Wuxi China

ISBN: (数字)9781728197241

ISBN: (纸本)9781728197258

Imbalanced data classification has always been a hot topic in traditional machine learning. The usual method is oversampling. Its main idea is to randomly synthesize the new minority samples between the minority samples and their neighboring samples, to put the data in a particular state of equilibrium. The existing improved methods have improved the classifier's performance to some extent, but most of the focus is on the minority sample. In this paper, a denoise-based oversampling method (DNOS) is proposed, which performs different denoise processes for the majority and minority samples. Then, it is combined with ADASYN to oversampling the data. Experimental results show that DNOS has a better classification effect than ADASYN.

关键词： Training Noise reduction Classification algorithms Machine learning Fans distributed databases Diseases

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Some New Attempts to Process Biological Data

Some New Attempts to Process Biological Data

引用

international symposium on distributed computing and applications to business, engineering and science (DCABES)

作者： Shuxun Yang Mingpu Li Jun Luo Yupeng Lu Chao Yan Xu-Qing Tang School of Science Jiangnan University Wuxi Jiangsu China

ISBN: (数字)9781728197241

ISBN: (纸本)9781728197258

The purpose of this paper is to realize system analysis and algorithm design for biological data. In this paper, primary bladder cancer is taken as a typical example, the structure of the system is extracted by hierarchical clustering method, and the function of the system is mined by convolutional neural network technology. Based on these methods, a complex system structure analysis model and an algorithm are constructed to study the big data system. Furthermore, the feasibility study of relevant theories and methods are carried out while the application and expand of technology are mentioned, combined with the actual data. The effectiveness and practicability of the algorithm and system are also verified by simulation.

关键词： Clustering algorithms Feature extraction Cancer Bladder Biology Data mining Data models

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A neural network approach to indoor mobile robot localization

A neural network approach to indoor mobile robot localizatio...

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international symposium on distributed computing and applications to business, engineering and science (DCABES)

作者： Huijun Li Ying Mao Wei You Bin Ye Xinyi Zhou School of Information and Control Engineering China University of Mining and Technology Xuzhou China

ISBN: (数字)9781728197241

ISBN: (纸本)9781728197258

In order to improve the real-time performance and accuracy of localization for mobile robot in indoor environment, a neural network data fusion approach is proposed to eliminate the affection caused by errors from environment or measurements. In the approach, the odometry data are firstly obtained by calculating the collected encoder data through the Dead Reckoning (DR), then we fuse the odometry data and the lidar data by inputting them into a three-layer neural network. Experimental results show that the trained network improved the robot localization performance and its position accurate is within 6cm with good real time response.

关键词： Mobile robots Training Sensors Biological neural networks Robot kinematics Wheels Neurons

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Medical Image Segmentation Based on 3D U-net

Medical Image Segmentation Based on 3D U-net

引用

international symposium on distributed computing and applications to business, engineering and science (DCABES)

作者： Silu Chen Guanghao Hu Jun Sun School of Internet of things engineering Jiangnan University Wuxi China

ISBN: (数字)9781728197241

ISBN: (纸本)9781728197258

For medical image processing, as the target area of the tumor lesions is small, and the boundaries of the organs are blurred, so the segmentation of the medical images is difficult. In the original 3D U-net model, feature extraction is performed on the interest image region by increasing the channel attention mechanism, so that the model keep a watchful eye on key region before segmentation. Test results indicate that the improved model has significantly improved segmentation accuracy relative to the original 3D U-net model and is a valid image segmentation model.

关键词： Image segmentation Three-dimensional displays Two dimensional displays Solid modeling Object segmentation Tumors Medical diagnostic imaging

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Power Plan Investment Plan Based on Simulated Annealing Algorithm

Power Plan Investment Plan Based on Simulated Annealing Algo...

引用

international symposium on distributed computing and applications to business, engineering and science (DCABES)

作者： Liu Songning Liu Lingxuan Li Zengqi Huang Yaoyao Shandong University of Science and Technology Qingdao China

ISBN: (数字)9781728197241

ISBN: (纸本)9781728197258

In this paper, the information provided by the annex is data support, based on matlab and Excel software, based on the simulated annealing algorithm, the mathematical model of the power planning investment plan is established. Taking the mathematical model of power planning investment plan as the leading analysis, starting from the engineering economic analysis, we can find out the influence of “time” value, and then study the single-stage power expansion planning from different angles, then extend the power expansion planning to multiple stages, and finally according to the analysis. The calculation analyzes the impact of renewable energy access to the power system and provides a new solution to the enormous challenges brought about by the numerous components of the actual power system.

关键词： Planning Investment Power systems Capacity planning Compounds Mathematical model Energy storage

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An Improved Flower Pollination Algorithm for Global Numerical Optimization

An Improved Flower Pollination Algorithm for Global Numerica...

引用

international symposium on distributed computing and applications to business, engineering and science (DCABES)

作者： Kezhong Lu Zongmin Ma Xiaofei Yang Hao Zhou School of Computer Science and Technology Nanjing University of Aeronautics and Astronautics Nanjing Jiangsu China College of Big Data and Artificial Intelligence Chizhou University Chizhou Anhui China

ISBN: (数字)9781728197241

ISBN: (纸本)9781728197258

A new bionic algorithm named as Flower Pollination algorithm (FPA) was proposed by Yang. FPA has some shortcomings, such as premature convergence, low precision, et al. So an improved flower pollination algorithm (IFPA) is proposed in this paper. IFPA combines three aspects: global pollination with quantum search mechanics, local pollination with DE/rand/1 mutation, and switch on dimensions. The experimental results show that IFPA can speed up convergence and improve accuracy.

关键词： Convergence Optimization Switches Statistics Sociology Quantum mechanics Clustering algorithms

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Prevention and Control of Emerging Infectious Diseases in Human Populations

Prevention and Control of Emerging Infectious Diseases in Hu...

引用

international symposium on distributed computing and applications to business, engineering and science (DCABES)

作者： Sophie Khaddaj Hussain Chrief Artemedis International London EC UK Oxford University Hospital Oxford UK

ISBN: (数字)9781728197241

ISBN: (纸本)9781728197258

The prevention, control and prediction of emerging infectious diseases are vital in order to effectively manage their spread and impact. Over the years many modelling techniques have been developed for the management of infectious diseases. However, emerging diseases are linked to selective pressures caused by humans, for example environmental pressure such as urbanisation and habitat fragmentation. In this paper we present a new approach, which combines human behavioural factors together with advanced mathematical modelling and machine learning, for preventing, monitoring and predicting future epidemics. This will help medical professionals and policy makers to optimize, in real-time, response efforts to major outbreaks.

关键词： Infectious diseases Surveillance Data mining Real-time systems Sociology Social networking (online) Mathematical model

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Visible and infrared image fusion based on visual saliency detection

Visible and infrared image fusion based on visual saliency d...

引用

international symposium on distributed computing and applications to business, engineering and science (DCABES)

作者： Xizi Tan Liqiang Guo School of Computer Science and Technology Huaiyin Normal University Huai'an China

ISBN: (数字)9781728197241

ISBN: (纸本)9781728197258

Visible and infrared image fusion is widely adopted in navigation, object recognition and smart city. In this paper, we use the saliency object detection method to fusion the visible and infrared images. In consideration of the properties of the different type of image, we design two different visual saliency object detection methods to fuse the coefficients of detail image layers and coarse image layers. Then we can reconstruct the fused image from those coefficients. The experimental results indicate that the proposed fusion algorithm conforms to the human vision characteristics and has a strong comparability and effectiveness in both objective and subjective evaluation.

关键词： Image fusion Visualization Transforms Discrete wavelet transforms Object detection Saliency detection Vegetation

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