检索结果-内蒙古大学图书馆

8th International Conference on Computer science and Computational Intelligence, ICCSCI 2023

作者： Gunawan, Fergianto E. Budiman, Arief S. Pardamean, Bens Juana, Endang Romeli, Sugiarto Cenggoro, Tjeng W. Purwandari, Kartika Hidayat, Alam A. Redi, Anak A.N.P. Asrol, Muhammad Industrial Engineering Department BINUS Graduate Program - Master of Industrial Engineering Bina Nusantara University Jakarta11480 Indonesia Computer Science Department BINUS Graduate Program - Master of Computer Science Program Bina Nusantara University Jakarta11480 Indonesia Bioinformatics and Data Science Research Center Bina Nusantara University Jakarta11480 Indonesia Electrical Engineering Department Faculty of Industrial Technology Universitas Trisakti Jakarta11440 Indonesia PT Impack Pratama Industri Jakarta14350 Indonesia Computer Science Department School of Computer Science Bina Nusantara University Jakarta11480 Indonesia Mathematics Department School of Computer Science Bina Nusantara University Jakarta11480 Indonesia

An accurate predictive model of temperature and humidity plays a vital role in many industrial processes that utilize a closed space such as in agriculture and building management. With the exceptional performance of deep learning on time-series data, developing a predictive temperature and humidity model with deep learning is propitious. In this study, we demonstrated that deep learning models with multivariate time-series data produce remarkable performance for temperature and relative humidity prediction in a closed space. In detail, all deep learning models that we developed in this study achieve almost perfect performance with an R value over 0.99. © 2023 The Authors. Published by Elsevier B.V.

关键词： closed space deep learning humity prediction indoor temperature prediction

来源：评论

学校读者我要写书评

暂无评论

Resilient Event-Triggered Model Predictive Control for Adaptive Cruise Control Under Sensor Attacks

引用

IEEE/CAA Journal of Automatica Sinica 2023年第3期10卷 807-809页

作者： Zhijian Hu Rong Su Kai Zhang Zeyuan Xu Renjie Ma School of Electrical and Electronic Engineering Nanyang Technological UniversitySingapore 639798Singapore Key Laboratory of Ultra-Precision Intelligent Instrumentation Ministry of Industry and Information Technologyand the Center of Ultra-Precision Optoelectronic Instrument EngineeringHarbin Institute of TechnologyHarbin 150001China Department of Control Science and Engineering Harbin Institute of TechnologyHarbin 150001China Department of Chemical and Biomolecular Engineering National University of SingaporeSingapore 117585Singapore State Key Laboratory of Robotics and Systems Harbin Institute of TechnologyHarbin 150001China IEEE

Dear Editor,This letter addresses the resilient model predictive control(MPC)problems for adaptive cruise control(ACC)systems under sensor *** the light of vulnerabilities of ACC systems to sensor attacks,an intrusion detection mechanism is proposed at the controller side to distinguish abnormal ***,the robust control gains are derived to design the terminal region constraint for MPC.

关键词： Trigger Event constraint

来源：评论

学校读者我要写书评

暂无评论

Design and demonstration of dual-core spiral package-embedded inductors for Integrated Voltage Regulators

引用

IEEE Transactions on Components, Packaging and Manufacturing Technology 2025年

作者： Avula, Venkatesh Murali, Prahalad Swaminathan, Madhavan Georgia Institute of Technology School of Electrical and Computer Engineering the3D Systems Packaging Research Center AtlantaGA30332 United States Apple Inc CupertinoCA95014 United States Georgia Institute of Technology School of Materials Science and Engineering 3D Systems Packaging Research Center AtlantaGA30332 United States Penn State University School of Electrical Engineering and Computer Science University ParkPA16802 United States

Novel package-embedded inductors utilizing a dual-core spiral topology, designed for improved performance in integrated power delivery systems, are presented in this paper. The proposed inductor features a simple fabrication process, gapped magnetic cores for stable performance across varying operating conditions, and overlapping spiral windings in adjacent layers, achieving high inductance density. The proposed topology consists of a spiral-shaped conductor winding layer sandwiched between two magnetic core layers. The conductor and insulating dielectric layers separate the cores and act as an air gap for the magnetic flux of the spiral inductor. The air gap causes an increase in the saturation current performance of the inductor. In addition to the single spiral winding, two advanced spiral inductor configurations, namely two spiral windings in series and parallel, are explored. To enable design, a physical model and analytical monomial expressions are provided for inductance calculation. To evaluate the performance of these designs, three inductor samples are fabricated with two different magnetic core materials and air gaps. Overall, package-embedded dual-core spiral inductors with a performance of 115nH inductance with 5 A saturation current and 330nH inductance with 3.5 A saturation current, occupying a 9 mm2 area and having efficiencies ranging from 75% to 80%, are demonstrated. © 2011-2012 IEEE.

关键词： Magnetic cores

来源：评论

学校读者我要写书评

暂无评论

Stimulated Raman Scattering Microscopy with a Widely Tunable Fiber Optical Parametric Oscillator and Ti:Sapphire Laser

Stimulated Raman Scattering Microscopy with a Widely Tunable...

引用

Conference on Lasers and Electro-Optics (CLEO)

作者： Shun Takahashi Kenichi Oguchi Kento Kamei Takaha Mizuguchi Spencer J. Spratt Yasuyuki Ozeki Department of Electrical Engineering and Information Systems The University of Tokyo Tokyo Japan Research Center for Advanced Science and Technology The University of Tokyo Tokyo Japan Department of Electrical and Electronic Engineering The University of Tokyo Tokyo Japan

We present a widely tunable fiber optical parametric oscillator with a tuning range of 1470 cm −1 . By synchronizing it with a Ti:sapphire laser, we succeed in stimulated Raman scattering imaging across the broad spec... 详细信息

ISBN: (纸本)9798350369311

关键词： Optical fibers Stimulated emission Raman scattering Imaging Optical imaging Synchronization Optical scattering Laser tuning Oscillators Fiber lasers

来源：评论

学校读者我要写书评

暂无评论

Trends, Opportunities, and Challenges in Detecting Depressive Disorders Through Mobile Devices: A Review 2

Trends, Opportunities, and Challenges in Detecting Depressiv...

引用

2nd International Conference on Computer System, Information Technology, and electrical engineering, COSITE 2023

作者： Elwirehardja, Gregorius Natanael Isnan, Mahmud Perbangsa, Anzaludin Samsinga Muchtar, Kahlil Pardamean, Bens Computer Science Department School of Computer Science Bina Nusantara University Jakarta11480 Indonesia Mahmud Isnan Bioinformatics and Data Science Research Center Bina Nusantara University Jakarta11480 Indonesia Information System Department School of Information Systems Bina Nusantara University Jakarta11480 Indonesia Department of Electrical and Computer Engineering Universitas Syiah Kuala Banda Aceh23111 Indonesia Computer Science Department BINUS Graduate Program-Master of Computer Science Bina Nusantara University Jakarta11480 Indonesia

ISBN: (纸本)9798350343069

Depressive Disorders (DD) is one of the most prevalent mental disorders in the world that may lead to suicide cases. To prevent the latter, ubiquitous early detection systems may be effective. Recent studies have since researched the development of such systems by exploiting several forms of data, including video, audio, Ecological Momentary Assessments (EMA), and passive sensing data using sensors embedded in mobile devices. To summarize the trends, opportunities, and existing challenges in this field, this study reviewed 15 papers to answer four research questions. EMA was the most popular data to be used in this task, but other approaches, such as using video, audio, and typing behaviors, may be considered due to the subjectivity of EMA. These data were typically recorded using smartphones and analyzed using Machine Learning (ML). However, most of the developed systems had yet to be implemented. Overall, it was concluded that further studies may need to explore usages of more objective data in multimodal approaches as well as consider using Mobile Cloud Computing (MCC) to deploy these systems to provide more effective and efficient diagnoses. Future studies must also take into account the existing challenges of the data and infrastructures, such as the weaknesses of several data types, limitations of mobile devices, as well as the challenges of diagnosis approaches. © 2023 IEEE.

关键词： Machine learning

来源：评论

学校读者我要写书评

暂无评论

Older and Wiser: The Marriage of Device Aging and Intellectual Property Protection of DNNs 24

Older and Wiser: The Marriage of Device Aging and Intellectu...

引用

61st ACM/IEEE Design Automation Conference, DAC 2024

作者： Lin, Ning Wang, Shaocong Zhang, Yue He, Yangu Wong, Kwunhang Basu, Arindam Shang, Dashan Chen, Xiaoming Wang, Zhongrui Department of Electrical and Electronic Engineering The University of Hong Kong Hong Kong Access - Ai Chip Center for Emerging Smart Systems InnoHK Centers Hong Kong Science Park Hong Kong Institute of Computing Technology Chinese Academy of Sciences Beijing China Key Laboratory of Microelectronics Devices and Integrated Technology Institute of Microelectronics Chinese Academy of Sciences Beijing China Department of Electrical Engineering City University of HongKong Hong Kong

ISBN: (纸本)9798400706011

Deep neural networks (DNNs), such as the widely-used GPT-3 with billions of parameters, are often kept secret due to high training costs and privacy concerns surrounding the data used to train them. Previous approaches to securing DNNs typically require expensive circuit redesign, resulting in additional overheads such as increased area, energy consumption, and latency. To address these issues, we propose a novel hardware-software co-design approach for DNN intellectual property (IP) protection that capitalizes on the inherent aging characteristics of circuits and a novel differential orientation fine-tuning (DOFT) to ensure effective ***-wise, we employ random aging to produce authorized chips. This process circumvents the need for chip redesign, thereby eliminating any additional hardware overhead during the inference procedure of DNNs. Moreover, the authorized chips demonstrate a considerable disparity in DNN inference performance when compared to unauthorized chips. Software-wise, we propose a novel DOFT, which allows pre-trained DNNs to maintain their original accuracy on authorized chips with minimal fine-tuning, while the model's performance on unauthorized chips is reduced to random guessing. Extensive experiments on various models, including MLP, VGG, ResNet, Mixer, and SwinTransformer, with lightweight binary and practical multi-bit weights demonstrate that the proposed method achieves effective IP protection, with only 10% accuracy on unauthorized chips, while preserving nearly the original accuracy on authorized ones. © 2024 Copyright is held by the owner/author(s). Publication rights licensed to ACM.

关键词： Deep neural networks

来源：评论

学校读者我要写书评

暂无评论

Design of Lowpass Filter and Wavelet Analysis for Electroretinogram in Dogs 38

Design of Lowpass Filter and Wavelet Analysis for Electroret...

引用

38th IEEE Region 10 Conference, TENCON 2023

作者： Tuntrik, Tunyawat Tuntivanich, Nalinee Banjerdpongchai, David Chulalongkorn University Center of Excellence in Intelligent Control Automation of Process Systems Faculty of Engineering Dept. of Electrical Engineering 254 Phayathai Road Pathumwan Bangkok10330 Thailand Faculty of Veterinary Science Dept. of Veterinary Surgery 254 Phayathai Road Pathumwan Bangkok10330 Thailand

ISBN: (纸本)9798350302196

In frequency domain, wavelet coefficient is one of the characteristics of ERG signal which is hidden in frequency-domain. This paper aims to develop a tool for analyzing the constituent frequencies and time of interest in the dog's ERG signal using wavelet analysis. We design a lowpass filter to reduce noise during the measurement of ERG response. ERG dataset was obtained for the light intensity series and their constituent frequencies are analyzed by using the continuous wavelet transform (CWT). The results show that, in time-domain, as light intensity increases, both amplitudes of a-wave and b-wave are higher. We can visualize the noise interference in the ERG signals. Then a lowpass filter is designed to attenuate the noise effect. The filtered signals have lower a-, and b-waves' amplitude which affect the important characteristics in time domain. Therefore, we choose to filter signal from 26ms onward, the main components are recovered, and the filtered signal becomes smoother. In frequency-domain, the peak magnitude of wavelet coefficients is increased as light intensity increases. © 2023 IEEE.

关键词： Wavelet transforms

来源：评论

学校读者我要写书评

暂无评论

Leveraging Robust Artificial Intelligence for Mechatronic Product Development—A Literature Review

引用

International Journal of Intelligence science 2024年第1期14卷 1-21页

作者： Alexander Nüßgen René Degen Marcus Irmer Fabian Richter Cecilia Boström Margot Ruschitzka CAD CAM Center Cologne Institute of Automotive Engineering Cologne (IFK) Faculty of Automotive Systems and Production Cologne University of Applied Science Cologne Germany Division of Electricity Department of Electrical Engineering Uppsala University Uppsala Sweden

Mechatronic product development is a complex and multidisciplinary field that encompasses various domains, including, among others, mechanical engineering, electrical engineering, control theory and software engineering. The integration of artificial intelligence technologies is revolutionizing this domain, offering opportunities to enhance design processes, optimize performance, and leverage vast amounts of knowledge. However, human expertise remains essential in contextualizing information, considering trade-offs, and ensuring ethical and societal implications are taken into account. This paper therefore explores the existing literature regarding the application of artificial intelligence as a comprehensive database, decision support system, and modeling tool in mechatronic product development. It analyzes the benefits of artificial intelligence in enabling domain linking, replacing human expert knowledge, improving prediction quality, and enhancing intelligent control systems. For this purpose, a consideration of the V-cycle takes place, a standard in mechatronic product development. Along this, an initial assessment of the AI potential is shown and important categories of AI support are formed. This is followed by an examination of the literature with regard to these aspects. As a result, the integration of artificial intelligence in mechatronic product development opens new possibilities and transforms the way innovative mechatronic systems are conceived, designed, and deployed. However, the approaches are only taking place selectively, and a holistic view of the development processes and the potential for robust and context-sensitive artificial intelligence along them is still needed.

关键词： Artificial Intelligence Mechatronic Product Development Knowledge Management Data Analysis Optimization Human Experts Decision-Making Processes V-Cycle

来源：评论

学校读者我要写书评

暂无评论

The shortest lengths and the enclosure method for time dependent problems

arXiv

引用

arXiv 2023年

作者： Kawashita, Mishio Kawashita, Wakako Mathematics Program Graduate School of Advanced Science and Engineering Hiroshima University Higashihiroshima739-8526 Japan Electrical Systems and Control Engineering Program Graduate School of Advanced Science and Engineering Hiroshima University Higashihiroshima739-8527 Japan

In this article, the role of "shortest length" is discussed concerning the inverse problems with the time dependent enclosure method. In the beginning, the inclusions embedded in a non-layered medium are handled. The argument for the above case reveals why the "shortest length" is important. Next, the case where the inclusions are embedded in a two-layered medium is explained in view of the previous works by Ikehata and the authors. In addition, the regularity assumptions for the boundaries of the inclusions are *** Codes 35R30, 35L05, 35B40, 78A46 Copyright © 2023, The Authors. All rights reserved.

关键词： Enclosures

来源：评论

学校读者我要写书评

暂无评论

SF-DQN: Provable Knowledge Transfer using Successor Feature for Deep Reinforcement Learning 41

SF-DQN: Provable Knowledge Transfer using Successor Feature ...

引用

41st International Conference on Machine Learning, ICML 2024

作者： Zhang, Shuai Fernando, Heshan Devaka Liu, Miao Murugesan, Keerthiram Lu, Songtao Chen, Pin-Yu Chen, Tianyi Wang, Meng Department of Data Science New Jersey Institute of Technology NewarkNJ United States Department of Electrical Computer and Systems Engineering Rensselaer Polytechnic Institute TroyNY United States IBM Thomas J.Watson Research Center IBM Research Yorktown HeightsNY United States

This paper studies the transfer reinforcement learning (RL) problem where multiple RL problems have different reward functions but share the same underlying transition *** this setting, the Q-function of each RL problem (task) can be decomposed into a successor feature (SF) and a reward mapping: the former characterizes the transition dynamics, and the latter characterizes the task-specific reward *** Q-function decomposition, coupled with a policy improvement operator known as generalized policy improvement (GPI), reduces the sample complexity of finding the optimal Q-function, and thus the SF & GPI framework exhibits promising empirical performance compared to traditional RL methods like ***, its theoretical foundations remain largely unestablished, especially when learning the successor features using deep neural networks (SF-DQN).This paper studies the provable knowledge transfer using SFs-DQN in transfer RL *** establish the first convergence analysis with provable generalization guarantees for SF-DQN with *** theory reveals that SF-DQN with GPI outperforms conventional RL approaches, such as deep Q-network, in terms of both faster convergence rate and better *** experiments on real and synthetic RL tasks support the superior performance of SF-DQN & GPI, aligning with our theoretical findings. Copyright 2024 by the author(s)

关键词： Deep reinforcement learning

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：