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检索条件"主题词=algorithm optimization"

共 315 条记录，以下是211-220 订阅

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BWC: A Ballast Water Curve algorithm for Optimizing Ship Fuel Consumption 23

BWC: A Ballast Water Curve Algorithm for Optimizing Ship Fue...

引用

23rd IEEE International Conference on Data Mining (IEEE ICDM)

作者： Yao, Yan Feng, Shanshan Hu, Hanwen Xu, Shenglin Qian, Shiyou Qu, Bin Zhai, Diankun Qufu Normal Univ Sch Comp Sci Rizhao Peoples R China Shanghai Jiao Tong Univ Dept Comp Engn & Sci Shanghai Peoples R China Shanghai Commun Water Transportat Desing & Res Co Shanghai Peoples R China CCCC Third Harbor Engn Co Ltd Engn Co Ltd Shanghai Peoples R China Shandong Normal Univ Sch Informat Sci & Engn Jinan Peoples R China

ISBN: (纸本)9798350381641

During navigation in inland waterways, ships must maintain a certain amount of ballast water to pass safely under bridges with different height limits. In this paper, we propose the Ballast Water Curve (BWC) algorithm, which can dynamically adjust the ballast water of ships during navigation according to the height limit of bridges. By using BWC, ships can pass under bridges safely and efficiently, significantly reducing their fuel consumption. Firstly, a theoretical model is established to quantify the relationship between fuel consumption and ship ballast water. Secondly, the concept of "invalid/inactive constraint bridges" is introduced which have no effect on the ships ballast water. Finally, the different distributions of bridges are classified, and the dynamic curve of ballast water is designed based on the greedy principle that the volume of ballast water should be as low as possible. To evaluate the effectiveness of our proposed algorithm, experiments are conducted using real bridge and ship data. The experimental results confirm that BWC can reduce the fuel consumption of ships by approximately 13%-14% compared to the static ballast water strategy. Additionally, the effect of the number of bridges, ship speed, ship ballast water volume, and flow velocity of loading/unloading water on the fuel consumption of ships is evaluated. Formulas are also devised to estimate route fuel consumption by fitting, and the effectiveness of the fitting formulas is verified.

关键词： Inland waterway transportation algorithm optimization fuel consumption optimization simulation

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Streamline Density Peak Clustering for Practical Adoptions 19

Streamline Density Peak Clustering for Practical Adoptions

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28th ACM International Conference on Information and Knowledge Management (CIKM)

作者： Yang, Shuai Shen, Xipeng Chi, Min North Carolina State Univ Raleigh NC 27695 USA

ISBN: (纸本)9781450369763

Since Density Peak Clustering (DPC) algorithm was proposed in 2014, it has drawn lots of interest in various domains. As a clustering method, DPC features superior generality, robustness, lexibility and simplicity. There are however two main roadblocks for its practical adoptions, both centered around the selection of cutof distance, the single critical hyperparameter of DPC. This work proposes an improved algorithm named Streamlined Density Peak Clustering (SDPC). SDPC speeds up DPC executions on a sequence of cutof distances by 2.2-8.8X while at the same time reducing memory usage by a magnitude. As an algorithm preserving the original semantic of DPC, SDPC ofers an eicient and scalable drop-in replacement of DPC for data clustering.

关键词： density clustering algorithm optimization hyperparameter tuning

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Simulation of Air-to-air Missile Attack Ability in air combat

Simulation of Air-to-air Missile Attack Ability in air comba...

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Conference on AOPC - Advanced Laser Technology and Applications

作者： Li Taorui Chaozhe, Wang Air Force Engn Univ Aviat Maintenance Sergeant Sch Xinyang 464000 Peoples R China Air Force Engn Univ Aeronaut Engn Inst Xian 710038 Peoples R China

ISBN: (数字)9781510649965

ISBN: (纸本)9781510649965;9781510649958

Air-to-air Missile is the main source of air confrontation, which plays an important role in air confrontation. The attack ability of air-to-air missile is one of the key factors of air combat. Establishing the models of motion and seeker tracking and introducing the greedy algorithm to improve the tracking ability, while regarding the third flight as attack target and establishing the model of motion and radiation. Simulating the infrared radiation characteristic of the target, calculating the attack region of missile and the optimization performance of algorithm It's concluded that attack region of the simulation matches the reality and the greedy algorithm can usefully improve the recognition efficiency of seeker.

关键词： Air-to-air Missile Attack ability algorithm optimization Attack region

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CCMS: A Greedy Approach to Motif Extraction

CCMS: A Greedy Approach to Motif Extraction

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17th International Conference on Image Analysis and Processing (ICIAP)

作者： Drago, Giacomo Ferretti, Marco Musci, Mirto Univ Pavia I-27100 Pavia Italy

ISBN: (纸本)9783642411892;9783642411908

Efficient and precise motif extraction is a central problem in the study of proteins functions and structures. This paper presents an efficient new geometric approach to the problem, based on the General Hough Transform. The approach is both an extension and a variation of the Secondary Structure Co-Occurrences algorithm by Cantoni et al. [1-2]. The goal is to provide an effective and efficient implementation, suitable for HPC. The most significant contribution of this paper is the introduction of a heuristic greedy variant of the algorithm, which is able to reduce computational time by two orders of magnitude. A secondary effect of the new version is the capability to cope with uncertainty in the geometric description of the secondary structures.

关键词： Motif Extraction Secondary Structures SSC Hough Transform algorithm optimization Greedy algorithm

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Fast and Low-Power Behavior Analysis on Vehicles Using Smartphones 6

Fast and Low-Power Behavior Analysis on Vehicles Using Smart...

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6th IEEE International Symposium on Next-Generation Electronics (ISNE)

作者： Xu, Xiaoqing Yin, Shouyi Ouyang, Peng Tsinghua Univ Inst Microelect Beijing Peoples R China

ISBN: (纸本)9781538630969

More and more deep learning methods are applied in unmanned or assisted driving, and have achieved very excellent performance. This paper describes long short-term memory recurrent neural networks used in assisted driving, which can capture the long temporal dependencies of multiple vehicles sensors' data, supporting drivers' behavior analysis on vehicles. Some optimization methods, such as model compression, weight quantization, adaptive window segmentation, are applied to make the deep network faster and less power. Therefore, it can be easily deployed on smart-phones and other embedded devices due to its moderate energy consumption and low latency. The architecture was trained in a sequence-to-sequence prediction manner, and it explicitly learns to predict the driving patterns given the temporal context. The experiment is executed on the smart-phone. Experimental results for different parameters are also presented in the paper. At last, we reduce the model size to 77 KB, the processing time to 4.27 ms, and the power overhead is 7.7 mW, the percentage of improved performance by our optimizations is over 60%.

关键词： deep learning drivers' behavior analysis algorithm optimization

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Financial Data Forecasting Using Optimized Echo State Network 1

引用

25th International Conference on Neural Information Processing (ICONIP)

作者： Liu, Junxiu Sun, Tiening Luo, Yuling Fu, Qiang Cao, Yi Zhai, Jia Ding, Xuemei Guangxi Normal Univ Fac Elect Engn Guilin 541004 Peoples R China Univ Surrey Surrey Business Sch Dept Business Transformat & Sustainable Enterpris Guildford GU2 7XH Surrey England Univ Salford Salford Business Sch 43 Crescent Salford M5 4WT Lancs England Fujian Normal Univ Coll Math & Informat Fuzhou 350108 Peoples R China Ulster Univ Sch Comp Engn & Intelligent Syst Coleraine BT48 7JL Londonderry North Ireland

ISBN: (数字)9783030042219

ISBN: (纸本)9783030042219;9783030042202

The echo state network (ESN) is a dynamic neural network, which simplifies the training process in the conventional neural network. Due to its powerful non-linear computing ability, it has been applied to predict the time series. However, the parameters of the ESN need to be set experimentally, which can lead to instable performance and there is space to further improve its performance. In order to address this challenge, an improved fruit fly optimization algorithm (IFOA) is proposed in this work to optimize four key parameters of the ESN. Compared to the original fruit fly optimization algorithm (FOA), the proposed IFOA improves the optimization efficiency, where two novel particles are proposed in the fruit flies swarm, and the search process of the swarm is transformed from two-dimensional to three-dimensional space. The proposed approach is applied to financial data sets. Experimental results show that the proposed FOA-ESN and IFOA-ESN models are more effective (similar to 50% improvement) than others, and the IFOA-ESN can obtain the best prediction accuracy.

关键词： Echo state network Fruit fly algorithm Time series algorithm optimization

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Analysing and Improving Mathematical Formulation of Webavalia: A Self and Peer Assessment Tool 11

Analysing and Improving Mathematical Formulation of Webavali...

引用

IEEE Global Engineering Education Conference (IEEE EDUCON)

作者： Babo, Rosalina Fitas, Ricardo Suhonen, Jarkko Tukiainen, Markku ISCAP P Porto Informat Syst Dept Porto Portugal Univ Porto FEUP Mech Engn Porto Portugal Univ Eastern Finland Sch Comp Kuopio Finland

ISBN: (数字)9781728109305

ISBN: (纸本)9781728109305

Recently, Problem-based learning has been increasingly used, and with those practices, self and peer evaluation tasks have gained more importance. This method of learning assists learners in the acquisition of skills and competencies. In order to support self and peer evaluation tasks, there are some different software offers in the market. The ease use of them is demanded since these tasks are an important part of evaluation. With the literature emphasis on the importance of assessment and critical spirit, it arises the possibility to implement formulas to increase the efficiency on the methodology applied and satisfaction of students and teachers. This paper introduces formulation problems about marks weighting in self and peer evaluation. It presents the advantages and disadvantages of different solutions for the formulation and suggestions of adapting them among tools, feedback surveys, and teacher's methods of evaluation. It is also expected that the formulation, which was implemented in the software tool WEBAVALIA, has a great impact on feedback, improving user experience, and both efficiency and flexibility.

关键词： mathematical models marks self-evaluation peer evaluation e-assessment algorithm optimization

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BIOMETRIC SIGNAL PROCESSING AT RADAR REMOTE DIAGNOSTICS OF CARDIO-RESPIRATORY HUMAN ACTIVITY 24

BIOMETRIC SIGNAL PROCESSING AT RADAR REMOTE DIAGNOSTICS OF C...

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24th International Crimean Conference Microwave & Telecommunication Technology (CriMiCo)

作者： Manoylov, V. F. Khomenko, J. N. Khomenko, N. F. Zhytomyr State Technol Univ 103 Cherniakovskiy Str UA-10005 Zhytomyr Ukraine

ISBN: (纸本)9789663354125

Radars which able to diagnose the state of living organisms, can find the widest application. The estimation method of respiration and heartbeat parameters of the man was offered. The mathematical modeling for algorithm optimization of obtaining the necessary signals and determination of their spectral characteristics are carried out.

关键词： bioelectric potentials biomedical telemetry cardiovascular system medical signal processing optimisation parameter estimation pneumodynamics radar spectral analysis telemedicine algorithm optimization biometric signal processing cardio-respiratory human activity heartbeat parameter estimation method radar remote diagnostics respiration parameter estimation method spectral characteristics

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Research on Scene Management Technology Based on Adaptive Binary Tree and Scene Graph

Research on Scene Management Technology Based on Adaptive Bi...

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IEEE International Conference on Information and Automation (ICIA)

作者： Su, Mo Guo, Ruifeng Wang, Hongliang Wang, Shuai Univ Chinese Acad Sci Beijing Peoples R China Chinese Acad Sci Shenyang Inst Comp Technol Shenyang Liaoning Peoples R China Shandong Acad Sci Informat Res Inst Jinan Shandong Peoples R China

ISBN: (纸本)9781538631546

Scene management technology is one of the key technologies of virtual reality and visualization. In this paper, we propose a new method based on adaptive binary tree (ABT) and scene graph, which is used to improve the real-time rendering of indoor and outdoor objects and enhance the organization efficiency of scenes structure. The generation algorithm of adaptive binary tree, the scoring standard of the splitting plane, the algorithm of search effective segmentation of plane and related algorithms are described in detail. Due to the characteristics of high accuracy of adaptive binary tree space subdivision and strong adaptability of scene graph, the paper proposes the new management model that combines adaptive binary tree space subdivision algorithm to scene graph, forming the strategy of scene management. It not only expands the range of application of scene organization, but also can help to improve the subsequent rendering efficiency. The experimental results have demonstrated that our method greatly shortens the three-dimensional scene organization time, and accelerates real-time rendering speed of complex scene.

关键词： adaptive binary tree scene graph scene management spatial subdivision algorithm optimization

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View Frustum Culling algorithm Based on Optimized Scene Management Structure

View Frustum Culling Algorithm Based on Optimized Scene Mana...

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IEEE International Conference on Information and Automation (ICIA)

作者： Su, Mo Guo, Ruifeng Wang, Hongliang Wang, Shuai Niu, Peng Univ Chinese Acad Sci Beijing Peoples R China Chinese Acad Sci Shenyang Inst Comp Technol Shenyang Liaoning Peoples R China Shandong Acad Sci Informat Res Inst Jinan Shandong Peoples R China

ISBN: (纸本)9781538631546

Scene space organizational structure and visibility culling plays a crucial role in the quality and efficiency of subsequent rendering. To improve the real-time rendering of indoor and outdoor objects and enhance the organization efficiency of scenes, we propose an optimized scene management structure for fast visibility culling. We organize the scene into an adaptive binary tree (ABT) structure to make full use of the characteristics of high accuracy of ABT space subdivision and strong adaptability of scene graph. Based on its structure and the basic principle of view frustum culling (VW) algorithm, a double-layer visibility culling algorithm is proposed to further improve performance and to compensate for the existing low VFC efficiency. The results of experiments prove its high efficiency for handling complex scenes with large amount of triangles in high depth, accelerating real-time rendering speed of complex scene.

关键词： adaptive binary tree scene graph view frustum culling real-time rendering algorithm optimization

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