检索结果-内蒙古大学图书馆

5th International Conference on Big-data Service and Intelligent Computation, BDSIC 2023

作者： Turky, Ayad Hussain, Abir Bettayeb, Anissa M. Serhani, Mohamed Adel Department of Computer Science College of Computing and Informatics University of Sharjah Sharjah United Arab Emirates Department of Electrical Engineering College of Engineering University of Sharjah Sharjah United Arab Emirates Information Technology Center University of Sharjah Sharjah United Arab Emirates Department of Information Systems College of Computing and Informatics University of Sharjah Sharjah United Arab Emirates

ISBN: (纸本)9798400708923

Determining the best shortest path between locations in intelligent transportation systems is crucial but challenging. Traditional approaches, which assume fixed travel times, fall short of accurately reflecting dynamic factors such as weather, time, and day. This paper introduces a novel two-stage approach that integrates deep learning and ant colony optimization to address this limitation. Firstly, deep learning is employed to predict travel times, incorporating weather conditions as input for improved accuracy. Secondly, an ant colony optimization algorithm is utilized to identify the shortest route based on the predicted travel times. We evaluated the proposed approach using the New York City taxi benchmark dataset and observed superior performance compared to current state-of-the-art algorithms. © 2023 ACM.

关键词： Travel time

来源：评论

学校读者我要写书评

暂无评论

Predicting lane-changing risk considering the class imbalance problem:a control method for synthetic samples

引用

Transportation Safety and Environment 2025年第1期7卷 74-86页

作者： Ye Li Le Yu Fei Liu Dan Wu Lu Xing Department of Traffic and Transportation Engineering Central South UniversityChangshaHunan 410075P.R.China Department of Automation Beijing National Research Center for Information Science and TechnologyTsinghua UniversityBeijing 100084P.R.China Hunan Key Laboratory of Smart Roadway and Cooperative Vehicle-Infrastructure Systems Changsha University of Science&TechnologyChangshaHunan 410114P.R.China

Class imbalance has long been a problem in traffic safety research,as it significantly reduces the prediction accuracy for minority class *** this study,a Control Method for Synthetic Samples(CMSS)is proposed to control samples synthesized in a direction which is conducive to the improvement of prediction *** method first employs several oversampling methods to synthesize ***,a regression model is established based on the cluster centres of synthetic samples and the corresponding value of performance improvement after adding the synthetic *** Shapley Additive Explanations(SHAP)technique is used to interpret it,and thus determine the features that have the most significant influence on the *** that,random disturbance terms are added to several important features to make a directional *** achieve better prediction performance,the particle swarm optimization(PSO)algorithm is utilized to search for the number of features and the value of random perturbation *** highD dataset is used to validate the effectiveness of CMSS by predicting the lane-changing *** addition,the impact of factors such as imbalance rates on the effect of CMSS is *** show that CMSS can effectively improve the prediction performance of the non-integrated learning models under different class imbalance *** is also revealed that the category of the regression model has a significant effect on the results of *** a novel method,CMSS can be combined with various kinds of oversampling methods to bring new perspectives for solving the class imbalance problem.

关键词： lane-changing risk synthetic samples class imbalance particle swarm optimization(PSO) machine learning

来源：评论

学校读者我要写书评

暂无评论

Vibration Suppression Feedforward Control Using Active Mass Damper for Stacker Crane

Vibration Suppression Feedforward Control Using Active Mass ...

引用

IEEE/ASME (AIM) International Conference on Advanced Intelligent Mechatronics

作者： Kiyotaka Hamanaka Wataru Ohnishi Takafumi Koseki Mitsuki Asai Koji Yoshihara Masamichi Nawa Norihiko Kato Department of Electrical Engineering and Information Systems Graduate School of Engineering University of Tokyo Tokyo Japan R&D Administration Center Toyota Industries Corporation Aichi Japan

ISBN: (数字)9798350355369

ISBN: (纸本)9798350355376

The high-speed operation of the stacker crane used in automated storage and retrieval systems is important for improving the efficiency of the entire warehouse. However, to achieve high-speed operation, it is necessary to reduce the excessive natural vibrations that occur during operation. To address this problem, this study proposes a vibration suppression feedforward control for an active mass damper (AMD). The objective of the proposed control method is to match the carriage acceleration of the stacker crane with the travel unit acceleration to avoid excessive vibrations in the stacker crane. This study introduces a method to realize this feedforward control and experimentally evaluates the performance of the proposed method using a test bench machine of a stacker crane.

关键词： Vibrations Cranes Mechatronics Storage automation Shock absorbers Feedforward systems

来源：评论

学校读者我要写书评

暂无评论

Anomaly Detection with LWE Encrypted Control

arXiv

引用

arXiv 2025年

作者： Alisic, Rijad Kim, Junsoo Sandberg, Henrik the Division of Decision and Control Systems KTH Royal Institute of Technology Sweden the Department of Electrical and Information Engineering Seoul National University of Science and Technology Korea Republic of

Detecting attacks using encrypted signals is challenging since encryption hides its information content. We present a novel mechanism for anomaly detection over Learning with Errors (LWE) encrypted signals without using decryption, secure channels, nor complex communication schemes. Instead, the detector exploits the homomorphic property of LWE encryption to perform hypothesis tests on transformations of the encrypted samples. The specific transformations are determined by solutions to a hard lattice-based minimization problem. While the test’s sensitivity deteriorates with suboptimal solutions, similar to the exponential deterioration of the (related) test that breaks the cryptosystem, we show that the deterioration is polynomial for our test. This rate gap can be exploited to pick parameters that lead to somewhat weaker encryption but large gains in detection capability. Finally, we conclude the paper by presenting a numerical example that simulates anomaly detection, demonstrating the effectiveness of our method in identifying attacks. Copyright © 2025, The Authors. All rights reserved.

关键词： Cryptography

来源：评论

学校读者我要写书评

暂无评论

A Cycle-GAN-Based Method for Real-World Image Super-Resolution

A Cycle-GAN-Based Method for Real-World Image Super-Resoluti...

引用

IEEE Global Conference on Consumer Electronics (GCCE)

作者： Ryusei Imamura Yinhao Li Hiroshi Taga Koki Iwasa Ryuichi Shichikawa Makoto Suganami Kazuhiro Nakamoto Yen-Wei Chen Graduate School of Information Science and Engineering Ritsumeikan University Osaka Japan School of Information Science and Engineering Ritsumeikan University Osaka Japan DX Promotion Department Mitsui E&S Systems Research Inc. Chiba Japan Industry Systems Solutions Division Mitsui E&S Systems Research Inc. Chiba Japan

ISBN: (数字)9798350355079

ISBN: (纸本)9798350355086

In recent years, the development of deep learning-based image super-resolution (SR) technology has made it easier to generate high-resolution, clear images. However, in practical scenarios where cameras cannot be placed close to objects, the captured image quality significantly degrades, leading to very low accuracy in automatic recognition of digits and text. Traditional SR methods still fail to achieve satisfactory results in such situations. Many supervised SR studies use synthetic low-resolution (LR) images created from high-resolution (HR) images for training. However, synthetic LR images do not correspond to real-world degradation. Therefore, to reconstruct degraded images captured in real-world scenarios for high-accuracy automatic character recognition, this study generates low-quality images that simulate real-world conditions to train SR models, thereby restoring and enhancing characters in degraded captured images. Our approach comprises two parts: domain correction and SR model training. First, we use CycleGAN to synthesize LR images that include real-world degradation features. Second, the generated LR images and HR images are paired to train the SR model. To validate the effectiveness of the proposed method, we used YOLOv5 for text recognition before and after SR processing. Experimental results show that our method effectively improves image quality and the accuracy of optical characteristic recognition.

关键词： Image quality Degradation Training YOLO Accuracy Image recognition Text recognition Superresolution Optical imaging Character recognition

来源：评论

学校读者我要写书评

暂无评论

Analysis of converting -circuit into -circuit

引用

EPJ Quantum Technology 2025年第1期12卷 1-14页

作者： Luo, Qing-bin Ding, Lang Yang, Guo-wu Li, Xiao-yu College of Intelligent Systems Science and Engineering Hubei Minzu University Enshi China School of Information and Software Engineering University of Electronic Science and Technology of China Chengdu China Big data research Center & School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu China

A $\mathfrak{C^{*}}$ -circuit, which was proposed in Asiacypt 2022 by Huang and Sun (Advances in cryptology – ASIACRYPT 2022, pp. 614–644, 2022), can directly perform calculations with the existing quantum states, thereby reducing the use of quantum resources in quantum logic synthesis. We theoretically prove how to convert a $\mathfrak{C^{0}}$ -circuit into the corresponding $\mathfrak{C^{*}}$ -circuit through two lemmas and one theorem. The first lemma proves the interchangeability of CNOT gates and NOT gates by using the equivalence of quantum circuits. The second lemma proves that adding CNOT gates to the front of a quantum circuit whose initial states are all $|0\rangle $ s will not change the output states of the circuit. The theorem is used to describe what kind of $\mathfrak{C^{0}}$ -circuit can be transformed into $\mathfrak{C^{*}}$ -circuit, and the correctness of this transformation is proved. Our work will provide a theoretical basis for converting $\mathfrak{C^{0}}$ -circuit to $\mathfrak{C^{*}}$ -circuit. Then applying the theoretical analysis results to the multiplication over $\text{GF}(2^{8})$ , the constructed quantum circuit needs 27 Toffoli gates and 118 CNOT gates, which is 15 fewer Toffoli gates and 43 CNOT gates than the current best result. This shows that the method of constructing quantum circuits by using the conversion of $\mathfrak{C^{0}}$ -circuit to $\mathfrak{C^{*}}$ -circuit is very efficient.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Blind Nonparametric Estimation of SISO Continuous-time systems

引用

IFAC-PapersOnLine 2023年第2期56卷 4222-4227页

作者： Augustus Elton Rodrigo A. González James S. Welsh Tom Oomen Cristian R. Rojas School of Engineering University of Newcastle Callaghan Australia Department of Mechanical Engineering Eindhoven University of Technology Eindhoven The Netherlands Delft Center for Systems and Control Delft University of Technology The Netherlands Division of Decision and Control Systems KTH Royal Institute of Technology Stockholm Sweden

Blind system identification is aimed at finding parameters of a system model when the input is inaccessible. In this paper, we propose a blind system identification method that delivers a single-input single-output, continuous-time model in a nonparametric kernel form. We take advantage of the representer theorem to form a joint maximum a posteriori estimator of the input and system impulse response. The identified system model and input are optimised in sequence to overcome the blind problem with generalised cross validation used to select appropriate hyperparameters given some fixed input sequence. We demonstrate via Monte Carlo simulations the accuracy of the method in terms of estimating the input.

关键词： Continuous-time system identification Nonparametric methods Identifiability

来源：评论

学校读者我要写书评

暂无评论

Microcavity assisted graphene pressure sensor for single-vessel local blood pressure monitoring

引用

Nano Research 2024年第11期17卷 10058-10068页

作者： Jinan Luo Jingzhi Wu Xiaopeng Zheng Haoran Xiong Lin Lin Chang Liu Haidong Liu Hao Tang Houfang Liu Fei Han Zhiyuan Liu Zhikang Deng Chuting Liu Tianrui Cui Bo Li Tian-Ling Ren Jianhua Zhou Yancong Qiao School of Biomedical Engineering Shenzhen Campus of Sun Yat-sen University Shenzhen 518107 China Key Laboratory of Sensing Technology and Biomedical Instruments of Guangdong Province School of Biomedical Engineering Sun Yat-sen University Guangzhou 510275 China School of Integrated Circuits and Beijing National Research Center for Information Science and Technology (BNRist) Tsinghua University Beijing 100084 China CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences (CAS) Shenzhen 518055 China Cardiovascular surgery Seventh affiliated Hospital of Sun Yat-sen University Shenzhen 518107 China

Dynamic monitoring of blood pressure (BP) is beneficial to obtain comprehensive cardiovascular information of patients throughout the day. However, the clinical BP measurement method relies on wearing a bulky cuff, which limits the long-term monitoring and control of BP. In this work, a microcavity assisted graphene pressure sensor (MAGPS) for single-vessel local BP monitoring is designed to replace the cuff. The microcavity structure increases the working range of the sensor by gas pressure buffering. Therefore, the MAGPS achieves a wide linear response of 0–1050 kPa and sensitivity of 15.4 kPa^(−1). The large working range and the microcavity structure enable the sensor to fully meet the requirements of BP detection at the radial artery. A database of 228 BP data (60-s data fragment detected by MAGPS) and 11,804 pulse waves from 9 healthy subjects and 5 hypertensive subjects is built. Finally, the BP was detected and analyzed automatically by combining MAGPS and a two-stage convolutional neural network algorithm. For the BP detection method at local radial artery, the first stage algorithm first determines whether the subject has hypertension by the pulse wave. Then, the second stage algorithm can diagnose systolic and diastolic BP with the accuracy of 93.5% and 97.8% within a 10 mmHg error, respectively. This work demonstrates a new BP detection method based on single vessel, which greatly promotes the efficiency of BP detection.

关键词： graphene pressure sensor microcavity assisted pressure sensor single-vessel BP monitoring two-stage neural network algorithm

来源：评论

学校读者我要写书评

暂无评论

Measurement of suction cups release time for press line

引用

International Journal of Manufacturing Technology and Management 2023年第2期37卷 97-114页

作者： Zheng, Xiaowan Guo, Bicheng Zhang, Boyang Fang, Siyuan Sia, Bernard Yang, Lianxiang Department of Mechanical Engineering Oakland University 115 Library Drive RochesterMI48309 United States College of Electrical and Information Engineering Zhengzhou University of Light Industry No. 5 Dongfeng Rd. Henan Zhengzhou450002 China National Center for Physical Acoustics University of Mississippi 145 Hill Drive UniversityMS38677 United States US Army Ground Vehicle Systems Center 6501 E 11 Mile Rd. WarrenMI48397 United States

Suction cups are widely used in press lines to handle and transfer sheet metal. The release time, which directly affects production efficiency and safety, refers to the dropping off period in which the product completely separates from the suction cups. As of now, no release time data is currently available for use in evaluating press line. To provide such data, an experimental setup has been developed. The setup includes vacuum and non-vacuum system designed to simulate the release process of the press line and an electronic triggering system calculating the release time based on controlling the load. The four most commonly used suction cups, namely the large (110 mm diameter) double and single layer suction cups and small (60 mm diameter) double and single layer suction cups, were tested using the setup. The results show that the measurement system is practical and will provide important information for press line optimisation. Copyright © 2023 Inderscience Enterprises Ltd.

关键词： Sheet metal

来源：评论

学校读者我要写书评

暂无评论

Developing a Floating Robot for Mechanical Control of Water Hyacinth 3

Developing a Floating Robot for Mechanical Control of Water ...

引用

3rd International Mobile, Intelligent, and Ubiquitous Computing Conference, MIUCC 2023

作者： Elsayed, Mostafa E.A. Mohamed, Ahmed K.A. Shaaban, Mahmoud Abdelrahman, Mohamed A. Ahmed, Mohamed E. A. E. Rashed, Mostafa R. Benha University Automation and Energy Technology Lab. Shoubra Faculty of Engineering Mechanical Engineering Department Cairo Egypt Benha University Agricultural Power and Machinery Faculty of Agriculture Department of Agricultural Engineering Kalubia Egypt School of Engineering and Applied Sciences Nile University Smart Engineering Systems Center Mechanical Engineering Program Giza Egypt Benha University Combustion and Energy Technology Lab. Shoubra Faculty of Engineering Mechanical Engineering Department Cairo Egypt Benha University Shoubra Faculty of Engineering Mechanical Engineering Department Cairo Egypt University for Technology and Information Faculty of Engineering Modern Mechanical Engineering Department Cairo Egypt

ISBN: (纸本)9798350306231

Water hyacinth has become widespread in freshwater bodies in several countries, leading to various issues, particularly its substantial water consumption and the resulting need to control its growth. Among the different methods of controlling water hyacinth, mechanical control stands out as the most effective and environmentally friendly approach. A proposed harvester robot has been developed, capable of efficiently cutting and collecting water hyacinth from the water's surface. The robot boasts several advantages, including its ability to operate in narrow water paths and lakes, use clean energy sources to preserve the water ecology, employ a GPS module for safety and error detection, and generate maps for evaluating work and predicting annual growth. When compared to other technologies dealing with water hyacinth, this innovative water hyacinth harvesting robot presents a significantly lower cost of 0.01 /kg, making it an optimal solution for addressing water hyacinth problems. © 2023 IEEE.

关键词： Weed control

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：