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检索条件"任意字段=2021 3rd International Conference on Computer Modeling, Simulation and Algorithm, CMSA 2021"

共 219 条记录，以下是51-60 订阅

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An Image Retrieving Method Based on Strong Constrained Manifold-embedded Hashing 3

An Image Retrieving Method Based on Strong Constrained Manif...

引用

2021 3rd international conference on computer modeling, simulation and algorithm, cmsa 2021

作者： Liang, Hui Pu, Dongbing Zhang, Libiao Sun, Yingjuan School of Information Science and Technology Northeast Normal University Changchun China College of Computer Science and Technology Changchun Normal University Changchun China

In recent years hashing methods have attracted considerable attention. The main procedure of manifold hashing methods is to convert the high dimension features into binary codes and then use manifold distance to approximate the original Euclidean distance. However, there still is a problem that how to directly preserve the manifold structure by hashing. Besides, because of information loss, the effect of using existing hashing methods to retrieve images is not ideal when the length of binary code is very short. In order to solve these problems, we proposed a strong constrained manifold-embedded hash (SCDMH), which can not only explore the nonlinear manifold structure of data, but also make full use of the semantic information in the data. Additionally, the objective function we proposed reconstructs the original features of the datasets and the hash representation mutually to preserve the semantic information. Our experimental results on three large benchmark datasets demonstrate that SCDMH outperforms other state-of-the-art baselines. © Published under licence by IOP Publishing Ltd.

关键词： Binary codes

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Preface

Preface

引用

作者： cmsa2021 Committee CMSA2021 Committee

2021 3rd international conference on computer modeling, simulation and algorithm(cmsa2021) widely covering computer modeling and Optimization Methods, simulation and Its Application, algorithm and Applied Mathematics is rescheduled to be held on July 4, 2021 via Tencent Meeting the in consideration of the current development of the Covid-19 epidemic.

关键词： Preface

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Sequential Emotion-Aware Recommendation: A Preliminary Study on Data Acquisition and modeling 3

Sequential Emotion-Aware Recommendation: A Preliminary Study...

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2021 3rd international conference on computer modeling, simulation and algorithm, cmsa 2021

作者： Chen, Weihao Zheng, Lin Jiang, Dazhi Department of Computer Science College of Engineering Shantou University China Key Laboratory of Intelligent Manufacturing Technology Shantou University Ministry of Education China

The rapid development of recommender systems makes researchers pay more and more attention to the utilization of users' subjective factors. Among various subjective factors, emotion plays an important role that can truly reflect the temporal changes of users' preferences. However, the acquisition of user emotion is difficult, and is obtained passively in many methods. Moreover, there are few datasets suitable for continuous emotion modeling in existing recommendation research. To address these shortcomings, this work collects and organizes a dataset of users watching movies containing their temporal emotional data, which is appropriate for recommendation tasks based on sequential emotions. In addition, we propose a sequential emotion-aware recommendation method suitable for continuous emotion modeling, which outperforms other advanced sequential modeling approaches on our dataset. The contribution of this work is to conduct preliminary study and exploration on the modeling of users' sequential emotion, so that this research direction can be further developed in future. The Sequential EMotion-Aware Recommendation (SEMAR) dataset we collected is available at: https://***/LinZheng666/Sequential-Emotion-Dataset-for-Recommendation. © Published under licence by IOP Publishing Ltd.

关键词： Data acquisition

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Database Programming Technology Based on computer Software Engineering 3

Database Programming Technology Based on Computer Software E...

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3rd international conference on modeling, simulation, Optimization and algorithm, ICMSOA 2021

作者： Gong, Weiwei Jiangxi College of Applied Science and Technology JIANGXI Nanchang330044 China

Based on practical application, this paper further discusses the database programming technology in computer software engineering. computer technology has developed to a certain extent and is still active in various fields. However, because the demand for computers in various industries and the requirements for technical performance are different, software engineers are required to develop software systems suitable for enterprises according to their own production characteristics. Because the efficiency and quality of computer software can not reach at present, the programming technology level of database may have a certain impact on the software *** order for database programming technology to play a full role in various fields, it is necessary to increase investment in database programming *** paper analyzes the database technology of computer software engineering in detail. In the process of establishing the actual database programming system, we make full use of the file creation and file access of the database to improve the database programming technology in the current computer software engineering, and then improve the stability of computer software. This paper analyzes computer software engineering, summarizes database programming program, fully realizes the application value of program technology in actual production, and combines database programming technology with the design of computer software engineering project, so as to promote the continuous innovation and development of computer software technology in China. © Published under licence by IOP Publishing Ltd.

关键词： Database systems

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Near-field 3D Imaging Technology based on MIMO Radar 3

Near-field 3D Imaging Technology based on MIMO Radar

引用

3rd IEEE international conference on Frontiers Technology of Information and computer, ICFTIC 2021

作者： Jiang, Haohao Qu, Wei Zhang, Shuo Dong, Yaoyao Wang, Pengda Gao, Tianhao University of Aerospace Engineering Department of Electronic and Optical Engineering Beijing101416 China

ISBN: (纸本)9781665406055

In recent years, with the continuous upgrading of terrorist activities, the application of imaging radar has expanded to the detection of hidden targets, such as target detection:behind the wall, mine detection, dangerous object imaging in security inspection, etc. With the development of application requirements, radar imaging has gradually expanded from two-dimensional (distance azimuth) to three-dimensional (distance azimuth altitude). Three dimensional imaging can overcome the shadow effect and spatial blur of two-dimensional imaging. It is widely used in through wall, security inspection and other scenes. Based on the traditional BP imaging algorithm, this paper studies the near-field 3D imaging algorithm suitable for MIMO radar, and verifies the feasibility and effectiveness of the algorithm through simulation experiments. © 2021 IEEE.

关键词： Radar imaging

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Search and Selection of Blocking Cross-sections in the Analysis of Vulnerability and Efficiency of Engineering Networks 3

Search and Selection of Blocking Cross-sections in the Analy...

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3rd international conference on Control Systems, Mathematical modeling, Automation and Energy Efficiency, SUMMA 2021

作者： Grebenyuk, Georgy Lubkov, Nikolay Sereda, Leonid V.A. Trapeznikov Institute of Control Sciences of RAS Laboratory of Computer Aided-Design and Control of Multi-Purpose Objects Moscow Russia

ISBN: (纸本)9781665439817

The analysis of approaches to assessing the vulnerability of complex network systems and indicators used to measure the effect of external influences on the nodes and connections of the network is carried out. The problem of blocking target objects of the system by constructing cross-sections using the developed practical algorithms is considered. A probabilistic modeling algorithm is proposed to construct cross-sections. For the selection of cross-sections that cause the maximum number of outages of non-Target consumers, indicators of the availability of nodes and cross-sections to resource sources are proposed. An example of the application of these indicators is given, illustrating the selection of blocking cross-sections on a typical IEEE scheme. © 2021 IEEE.

关键词： Efficiency

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High precision indoor model contour extraction algorithm based on geometric information 3

High precision indoor model contour extraction algorithm bas...

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3rd IEEE international conference on Frontiers Technology of Information and computer, ICFTIC 2021

作者： Jin, Tianxing Zhuang, Jiayan Xiao, Jiangjian Song, Kangkang Cui, Yue Lao, Sisi Ningbo University Faculty of Electrical Engineering and Computer Science Ningbo China Ningbo Institute of Materials TechnologyEngineering Chinese Academy of Sciences Ningbo China

ISBN: (纸本)9781665406055

The use of terrestrial laser is increasing in the field of architecture, especially in the design and construction of indoor space, and the point clouds generated by laser scanning is increasingly needed for assistance. Traditional 3D reconstruction method is to use RGB-D camera or LiDAR scanner to obtain depth map or point clouds data, and then use algorithm to get Mesh models. The indoor model obtained by traditional methods has some problems, such as low precision, serious cavity, etc. In order to obtain the 3D model with high precision and high simulation, manual modeling must be used to cooperate, which consumes a lot of manpower and material resources, which is an urgent problem to be solved. Among them, indoor space reconstruction is a hot topic at present, but due to the disorder of indoor space and a lot of occlusion, Thereby increasing the difficulty of indoor space reconstruction. In this paper proposes a high-precision indoor model contours extraction algorithm based on geometric information of point clouds, which can obtain the spatial layout information of the model. Use plane segmentation and corners detection in three-dimensional space to solve the problem of poor reconstruction effect caused by indoor building occlusion and point cloud model inclination is reasonably. The information of points, lines and planes in 3D indoor space can be extracted, and realize efficient reconstruction of indoor space. Finally, evaluated this method has accuracy in static laser scanning model and simulation laser data set is evaluated, and prove this method is workable in various scenes. © 2021 IEEE.

关键词： Optical radar

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A Novel NLOS Suppression algorithm for Indoor Location based on FCM and REKF 3

A Novel NLOS Suppression Algorithm for Indoor Location based...

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2021 3rd international conference on Robotics, Intelligent Control and Artificial Intelligence, ICRICA 2021

作者： Jin, Jiawei Cheng, Long Zhou, Jiabao School of Computer and Communication Engineering Northeastern University at Qinhuangdao Hebei China

Abstarct. The indoor positioning based on wireless sensor networks (WSN) has become one of the research hotpots. However, the NLOS propagation of the distance signals greatly challenges the accuracy and robustness of the algorithm. In this paper, we take the suppression of NLOS as the core goal and proposed the FCM-REKF-based positioning method. We firstly identify the signal states through the fuzzy c-means clustering (FCM), for the measurement distance judged to be NLOS, a refactoring method based on FCM is used. Then the corrected distance is smoothed by Kalman filter, and the Robust Extended Kalman Filter is used to calculate the final position. The simulation results show that our method has higher accuracy than EKF, REKF and IMM-EKF under NLOS environment. © Published under licence by IOP Publishing Ltd.

关键词： Extended Kalman filters

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Energy Efficient Computing with Heterogeneous DNN Accelerators 3

Energy Efficient Computing with Heterogeneous DNN Accelerato...

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IEEE 3rd international conference on Artificial Intelligence Circuits and Systems (AICAS)

作者： Hossain, Md Shazzad Savidis, Ioannis Drexel Univ Integrated Circuits & Elect Lab Philadelphia PA 19104 USA

ISBN: (纸本)9781665419130

The exploration of custom deep neural network (DNN) based accelerators for highly energy constrained edge devices with on-device intelligence is gaining traction in the research community. Despite the superior throughout and performance of custom accelerators as compared to CPUs or GPUs, the energy efficiency and versatility of state-of-the-art DNN accelerators is constrained due to the limited scope of monolithic architectures, where the entire accelerator executes only one model at any given time. In this paper, a multi-voltage domain heterogeneous DNN accelerator architecture is proposed that simultaneously executes multiple models with different power-performance operating points. The proposed architecture and circuits are evaluated with SPICE simulation in a 65 nm CMOS technology. The simulation results indicate that the proposed heterogeneous architecture improves the energy efficiency to 2.04 TOPS/W, while the conventional monolithic and single voltage domain architecture exhibits an energy efficiency of 0.0458 TOPS/W. In addition, the total power consumption of the accelerator SoC is reduced to 1.34 W as compared to the 3.72 W consumed by the baseline architecture when all multiply-and-accumulate (MACs) units operate at a voltage of 0.45 V.

关键词： Semiconductor device modeling Power demand Computational modeling Memory management Neural networks computer architecture Throughput

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A Fast Path Planing Solution for Multiple Obstacle Spaces 3

A Fast Path Planing Solution for Multiple Obstacle Spaces

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2021 3rd international conference on Robotics, Intelligent Control and Artificial Intelligence, ICRICA 2021

作者： Chen, Xiaolei Shen, Haoyang Yuan, Junling Han, Lu School of Computer and Communication Engineering Zhengzhou University of Light Industry Zhengzhou China

Among the many path planning algorithms, the RRT* algorithm and the Informed RRT* algorithm are the most popular. Both of them can complete the single path planning effectively. However, because the planning effect of these algorithms is limited by the number of iterations, the optimal solution cannot be planned in a limited time. Therefore, a new algorithm-Self-Optimizing Growing Tree (SOGT) is proposed in this paper. On the premise of ensuring complete probability, heuristic bias sampling is used to improve the efficiency of the algorithm to explore free space. Then, the initial path is optimized by the maximum distance and the inflection point optimization using prior information to obtain an optimal path. In the simulation experiments, we give the comparison results of numerical simulations of SOGT algorithm, RRT* algorithm and Informed RRT* algorithm. The experiment proves that the SOGT algorithm can get an optimal path in less time, which fully reflects the characteristics of the algorithm with good real-Time performance and strong adaptability. © Published under licence by IOP Publishing Ltd.

关键词： Motion planning

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