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检索条件"丛书名=Advances in Intelligent Systems and Computing"

共 33564 条记录，以下是1671-1680 订阅

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Stack Allowance Trading Mechanism Based Optimization Strategy for Phosphogypsum Reduction in Phosphate Fertilizer Plants 13th

Stack Allowance Trading Mechanism Based Optimization Strateg...

引用

13th International Conference on Management Science and Engineering Management (ICMSEM)

作者： Fan, Lurong Chen, Guojiao Li, Zongmin Lev, Benjamin Zhou, Xiaoyang Sichuan Univ Uncertainty Decis Making Lab Chengdu 610064 Peoples R China Capital Univ Econ & Business Informat Sch Beijing 10007 Peoples R China Sichuan Univ Business Sch Chengdu 610064 Peoples R China Drexel Univ Philadelphia PA 19104 USA Xidian Univ Sch Econ & Management Xian 710126 Peoples R China

ISBN: (纸本)9783030212483;9783030212476

Considering serious environmental pollution caused by phosphogypsum and the scarce of phosphate rock resource, the recycling utilisation of phosphogypsum has significant influence on the sustainable development. To promote the recycling utilisation of phosphogypsum, this paper studies the phosphogypsum reduction in phosphate fertilizer plants based on the stack allowance trading mechanism. According to the detail analysis, an optimization model has been established to describe and resolve the complexity of the phosphogypsum reduction problem. In the optimization process, the uncertain environment and stack allowance trading mechanism have been fully considered. A practical case is given to demonstrates the efficiency of the formulated method. The results indicates that the stack allowances trading mechanism all the phosphate fertilizer plants to make more flexible operation decision, which not only realize the environmental pollution mitigation and PG recycling, but also promote each phosphate fertilizer plant sustainable development.

关键词： Allowance trading mechanism Optimization strategy Phosphogypsum reduction Phosphate fertilizer plants

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A Dynamic Scene Recognition Method for Event-Based Social Network 13th

A Dynamic Scene Recognition Method for Event-Based Social Ne...

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13th International Conference on Innovative Mobile and Internet Services in Ubiquitous computing (IMIS)

作者： Kang, Haidong Gao, Tianhan Guo, Nan Northeastern Univ Comp Sci & Engn Coll Shenyang Liaoning Peoples R China Northeastern Univ Software Coll Shenyang Liaoning Peoples R China

ISBN: (纸本)9783030222635;9783030222628

With the development of event-based social network, the ways and tools of people's online and offline social activities have changed dramatically. IEBSN emphasizes the impromptu of social events, which will lead to inaccurate and inefficient event recommendation. To address this problem, we propose a novel dynamic scene recognition method for IEBSN, which combines supervised learning and unsupervised learning. Aiming at the similarity and inconsistency between classes in scene recognition, we propose a convolution feature encoder, which can extract more scene visual information. In order to meet the unexpected requirement of application level, the images whose convolution module is lower than a certain threshold are clustered with k-means. Experiments show that this method can automatically identify the scene in IEBSN application efficiently, and alleviate the problems in scene recognition.

关键词： Convolution

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Specular Photometric Stereo for Surface Normal Estimation of Dark Surfaces

Specular Photometric Stereo for Surface Normal Estimation of...

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Computer Vision Conference (CVC)

作者： Song, Mengyu Furukawa, Tomonari Virginia Polytech Inst & State Univ Blacksburg VA 24061 USA

ISBN: (纸本)9783030177980;9783030177973

This paper presents Specular Photometric Stereo (SPS), which is a Photometric Stereo (PS) technique incorporating specular reflection. The proposed SPS uses multiple images of a surface under different lighting conditions to obtain surface normals similarly to the conventional PS, but uniquely utilizes specular components of a dark surface, which reflects little diffuse light. The proposed framework consists of two sequential numerical steps, which are the conversion of a highly non-linear specular reflection model to a non-linear equation with only one non-linear parameter, and then the iterative removal of the diffuse components. The proposed SPS can estimate normals of dark surfaces, which is not possible by the conventional PS. The proposed SPS was examined using synthesized data and then tested with real-world surfaces. The results of surface normal estimation show that the capability of the proposed SPS over the existing PS in both accuracy and computational cost.

关键词： Computer vision algorithm Shape from X Photometric Stereo

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Low Power Wireless Networks for Extremely Critical Environments 13th

Low Power Wireless Networks for Extremely Critical Environme...

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13th International Conference on Complex, intelligent, and Software Intensive systems (CISIS)

作者： Ciccia, S. Scionti, A. Giordanengo, G. Pilosu, L. Terzo, O. LINKS Fdn Adv Comp & Electromagnet I-10138 Turin Italy

ISBN: (纸本)9783030223540;9783030223533

Navigation in the Arctic region is strongly compromised due to extreme environmental conditions. Among the others, correct positioning is the most critical aspect to manage in such environmental conditions. The main criticality for this can be ascribed to the low-orbit of satellites used for positioning, which implies very weak signals received at ground. To overcome such limitations, this work aims to investigate and develop a solution that provides highly accurate positioning by monitoring and mitigating the ionospheric impact on GNSS signals. Improving quality of the received signals allows for safer routes for Arctic shipping. To this end, this study foresees the deployment of an ad-hoc regional wireless network, where each node is a GNSS station. This paper describes the technological choices made to guarantee the operation of the GNSS stations network in such harsh environments. Specifically, the paper focuses on the description of the low power communication and computing subsystems.

关键词： Global positioning system

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A Study on Understanding of Visitor Needs in Art Museum: Based on Analysis of Visual Perception Through Eye-Tracking 3rd

A Study on Understanding of Visitor Needs in Art Museum: Bas...

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3rd International Conference on intelligent Human systems Integration (IHSI) - Integrating People and intelligent systems

作者： Yi, Taeha Chang, Mi Hong, Sukjoo Kim, Meereh Lee, Ji-Hyun Korea Adv Inst Sci & Technol Grad Sch Culture Technol 291 Daehak Ro Daejeon 34141 South Korea

ISBN: (纸本)9783030395124;9783030395117

This study aims to examine the art museum experience of visitors in detail through eye tracking in the aspect of the visitor-centered approach, which is important in the contemporary art museum. To achieve this goal, we conducted the eye-tracking experiment and in-depth interview to grasp the interest and needs of visitors. We suggest the possibility of deriving their interests and needs by studying the gaze data (e.g. duration and the number of fixations) of the visitors in the museum.

关键词： Art museum Visitor studies Eye-tracking Museum experience

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Vision System for Acquiring Results from Analog Gauges

Vision System for Acquiring Results from Analog Gauges

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International Mechatronics Conference

作者： Kopec, Grzegorz Nowak, Pawel Warsaw Univ Technol Inst Metrol & Biomed Engn Warsaw Poland

ISBN: (纸本)9783030299934;9783030299927

The following article presents a concept of a vision system for acquiring results from analog gauges. System uses machine vision techniques combined with modern algorithms of image processing. During it's operation it measures the angle defined by the gauge's tip and divides it by the angle defined by far left and far right lines of dial's graduation. The fraction obtained in this way is multiplied by the current scope of work, what gives the final result. In addition to a more detailed explanation of the operation of the system, the article also provides an explanation of the basic methods of image analysis and processing, as well as the results of the research carried out with the help of the system along with their commentary.

关键词： Machine vision Image processing Vision system Analog gauges

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Evaluating the Interaction Between Human Walking and Two-Dimensional Emotion Variation by Using Physiological Signals

Evaluating the Interaction Between Human Walking and Two-Dim...

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10th International Conference on Applied Human Factors and Ergonomics (AHFE) / International Conference on Affective and Pleasurable Design

作者： Zhuang, Jyun-Rong Wu, Guan-Yu Guan, Ya-Jing Muramatsu, Keiichi Watanuki, Keiichi Tanaka, Eiichiro Waseda Univ Grad Sch Informat Prod & Syst Wakamatsu Ku 2-7 Hibikino Kitakyushu Fukuoka 8080135 Japan Saitama Univ Saitama 3388570 Japan

ISBN: (纸本)9783030204419;9783030204402

The purpose of this study is to assess the interaction between walking and emotion variation. Two-dimension walking condition map and the two-dimension emotion map were used to understand their relation. According to the tendency of the changing walking gait in response to the emotion variation, we found that two factors can be influenced by each other. Therefore, by using this relation, we proposed an evaluation method for the user obtaining a better rehabilitation effect while using the assistive device. We recommended that the patient should walk comfortably through following the personal walking limitation, they thus can freely two-way control the emotion and walking while using an assistive device. To conclude, our proposed evaluation method can be employed for various assistive devices.

关键词： Emotion evaluation Physiological data Rehabilitation Promotion of exercise

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An Improved Fuzzy Clustering Segmentation Algorithm Based on Animal Behavior Global Optimization 8th

An Improved Fuzzy Clustering Segmentation Algorithm Based on...

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8th International Conference on Soft computing for Problem Solving (SocProS)

作者： Absara, A. Kumar, S. N. Fred, A. Lenin Kumar, H. Ajay Suresh, V Mar Ephraem Coll Engn & Technol Sch Elect & Commun Engn Marthandam Kanyakumari India Mar Ephraem Coll Engn & Technol Sch Comp Sci & Engn Marthandam Kanyakumari India

ISBN: (纸本)9789811500350;9789811500343

The bio-inspired optimization algorithms play vital role in many research domains and this work analyzes animal behavior optimization algorithm. Medical image segmentation helps the physicians for disease diagnosis and treatment planning. This work incorporates ABO algorithm for cluster centroid selection in Fuzzy C-means clustering segmentation algorithm. The Animal Behavior Optimization (ABO) algorithm was developed based on the group behavior and was validated on 13 benchmark functions. The dominant nature of an animal species decides the fitness function value and each solution in problem space depicts the animal position. The ABO algorithm was coupled with the classical FCM for the analysis of region of interest in abdomen CT and brain MR datasets. The results were found to be efficient when compared with the FCM coupled with artificial bee colony (ABC), firefly, and cuckoo optimization algorithms. The promising results generated by ABC makes it an efficient one for real-world problems.

关键词： Segmentation Animal behavior optimization Fuzzy C-means Artificial bee colony Firefly optimization Cuckoo optimization

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From Algebraic Biology to Artificial Intelligence

From Algebraic Biology to Artificial Intelligence

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International Symposium on Computer Science, Digital Economy and intelligent systems (CSDEIS)

作者： Tolokonnikov, Georgy K. Petoukhov, Sergey, V Russian Acad Sci Fed Sci Agroengn Ctr VIM 1st Inst Passage5 Moscow Russia Russian Acad Sci Mech Engn Res Inst M Kharitonievsky Pereulok 4 Moscow Russia

ISBN: (纸本)9783030392161;9783030392154

Algebraic biology is engaged in mathematical modeling of the structural features of the molecular genetic system and the inherited properties of organisms (phyllotaxis, inheritance of traits in Mendelian genetics, Weber-Fechner law, etc.) without a detailed analysis of genome reading processes. At the same time algebraic biology is a deeply systemic science. The consideration of human person as a system, including the subsystem of his intellect, modeled in some degree by artificial intelligence, leads to the necessity of using the methods of categorical theory of systems in addition to classical algebraic methods. Examples that are not reducible to the set-theoretic approach are given;generalizations of U-numbers of matrix genetics to the categorical case are outlined.

关键词： Artificial intelligence Neural networks Genetic code DNA Tensor product systems theory Categories Topos

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New Feed Rate Optimization Formulation in a Parametric Domain for 5-Axis Milling Robots 6th

New Feed Rate Optimization Formulation in a Parametric Domai...

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6th International Conference on Computer Science, Applied Mathematics and Applications (ICCSAMA)

作者： Chu Anh My Duong Xuan Bien Bui Hoang Tung Nguyen Van Cong Hieu, Le Chi Le Quy Don Tech Univ Hanoi Vietnam Univ Greenwich Fac Sci & Engn London England

ISBN: (纸本)9783030383640;9783030383633

When producing a numerical control (NC) program for a 5-axis CNC machine (the so-called milling robot) to mill a sculptural surface, a constant feed rate value is usually assigned based on programmer's experiences. For this reason, the feed rate in most of NC programs is often not optimized, it is much lower than maximum reachable value. To increase the productivity of the machining process, the feed rate in NC programs for the milling robots need to be maximized. This paper proposes a new feed rate optimization model, of which the objective function and all the kinematic constraints are transformed and expressed explicitly in a parametric domain which is commonly used in the tool path generation process performed by current CAM systems. Thus, the optimal feed rate values along a parametric tool path can be computed in an effective and simplified manner. Numerical examples demonstrate the effectiveness of the proposed method.

关键词： High speed milling 5-axis milling robot Kinematic modelling Feed rate interpolation

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