检索结果-内蒙古大学图书馆

ACS/IEEE International Conference on computer Systems and Applications

作者： Jihen Souissi Sourour Karmani Kais Belwafi Ridha Djemal ATMS Laboratory ENIS National Engineering School of Sfax Sfax University Tunisia Tunisia Laboratory of Electronics and Microelectronics FSM Higher Institute of Applied Sciences and Technology of Sousse University of Sousse University of Monastir Tunisia Computer Engineering Department CCI University of Sharjah Sharjah UAE Electrical Engineering Department National Engineering School of Sfax ATMS Lab. Sfax University Tunisia

ISBN: (数字)9798331518240

ISBN: (纸本)9798331518257

Brain-computer interface (BCI) technology has great potential in control, communication, and neurological diagnostics by interpreting EEG signals. This paper introduces a novel method for extracting distinguishing features from EEG signals using a Common Spatial Patterns (CSP) model, enhanced with a Phase Space Reconstruction model and followed by an autoregressive (AR) model. Initially, EEG signals are denoised using an IIR Butterworth filter before feature extraction. Two classifiers, Linear Discriminant Analysis (LDA) and Multi-Layer Perceptron (MLP), are employed to differentiate features across four motor imagery (MI) tasks. For a four-class MI task, combining spatial and temporal-frequency domain features, LDA achieves an accuracy of 67.40%, while MLP reaches 64.78%. LDA yields precision and recall scores of 67.40% and 67.20%, respectively, for the F1-score, whereas MLP records precision, recall, and F1-scores of 65.36%, 64.78%, and 64.28%, respectively. The proposed architecture is evaluated using the BCI Competition IV set 2a dataset, proving its effectiveness in EEG signal classification for BCI applications.

关键词： Accuracy Pattern classification computer architecture Signal processing Feature extraction Brain modeling Motors Electroencephalography Brain-computer interfaces Linear discriminant analysis

来源：评论

学校读者我要写书评

暂无评论

Stitching Notification Distribution Trees for Content-based Publish/Subscribe with P4

Stitching Notification Distribution Trees for Content-based ...

引用

IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN)

作者： Christian Wernecke Helge Parzyjegla Gero Mühl Peter Danielis Eike Schweissguth Dirk Timmermann Institute of Computer Science Institute of Applied Microelectronics and Computer Engineering University of Rostock Rostock Germany

ISBN: (数字)9781728181592

ISBN: (纸本)9781728181608

Publish/subscribe is a flexible communication pattern for loosely coupled distributed applications. The content-based variant matches each published notification against active subscriptions to determine a set of interested subscribers to which the notification is to be delivered. Since the recipient set can be different for each notification, it is challenging to find and install profitable forwarding rules on the network switches. In this paper, we present novel notification forwarding schemes implemented in P4 that use virtual trees (VTs) installed on switches and additional forwarding information encoded in notification packets that is used to connect VTs, to extend VT branches, or to cut off VT subtrees. For deriving beneficial VTs, we consider (i) topological properties of the physical network, (ii) publisher/subscriber relationships, and (iii) notification statistics. We present a generic algorithm for encoding distribution trees and evaluate our forwarding schemes in a data center network. The results show that our schemes perform well and save network bandwidth by reducing the notification header length.

关键词： Data centers Runtime Network topology Telecommunication traffic Switches Routing Software defined networking

来源：评论

学校读者我要写书评

暂无评论

Hybrid Deep Learning Approaches for Data Security in Cloud Environments

Hybrid Deep Learning Approaches for Data Security in Cloud E...

引用

Intelligent Data Communication Technologies and Internet of Things (IDCIoT), International Conference on

作者： S. Rekha Manish Sharma Sathish Kannan Vijay Jagdish Upadhye Harshal Patil S. Rajkumar Department of Computer Science PSG College of Arts and Science Coimbatore Tamil Nadu India Department of Computer Science & Engineering Graphic Era Deemed to be University Dehradun Uttarakhand India Department of VLSI Microelectronics Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Chennai Tamil Nadu India Department of Microbiology Research and Development Cell Parul Institute of Applied Sciences Parul University Waghodia Gujarat India Computer Science and Engineering Symbiosis Institute of Technology Symbiosis International (Deemed University) Pune Maharashtra India Department of Mechanical Engineering Faculty of Manufacturing Institute of Technology Hawassa University Ethiopia

More recent studies have concentrated on methods to improve the security and privacy of cloud operations for the benefit of user data. For example, in order to safeguard sensitive data kept by a cloud-deployed procedure, it is important to guarantee secure transmission of sensitive data across multiple stakeholders. Researchers have investigated deeply into the subject of cloud security concerns, which include data breaches, denial of service, data loss, service rejection, and threats from malicious users. These issues typically stem from problems like multi-tenancy, lack of control over data, and trust issues. Cloud providers are primarily responsible for ensuring the security of the cloud platform. This study proposes a CNN-BiLSTM-AM hybrid model that combines Convolutional Neural Network (CNN), Bidirectional Long Short-Term Memory (Bi-LSTM), and Attention Mechanism (AM). In order to determine how well our proposed hybrid model worked, this study tested it extensively against the traditional CNN and Long Short-Term Memory (LSTM) techniques. An established standard for evaluating intrusion detection systems, the CICIDS 2017 dataset was used in the study. The experimental results demonstrated that the proposed hybrid model outperformed the competition. The proposed hybrid model delivers the highest performance measure of accuracy (99.2%), detection rate (98.807 % ), and precision (99.59%).

关键词：

来源：评论

学校读者我要写书评

暂无评论

ILP-Based Routing and Scheduling of Multicast Realtime Traffic in Time-Sensitive Networks

ILP-Based Routing and Scheduling of Multicast Realtime Traff...

引用

IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA)

作者： Eike Schweissguth Dirk Timmermann Helge Parzyjegla Peter Danielis Gero Mühl Institute of Applied Microelectronics and Computer Engineering University of Rostock Rostock Germany Institute of Computer Science University of Rostock Rostock Germany

ISBN: (数字)9781728144030

ISBN: (纸本)9781728144047

Future applications of the Industrial Internet of Things will increasingly depend on the timely exchange of information and data. Time-Sensitive Networking, which is currently being standardized, therefore extends switched Ethernet networks by realtime communication capabilities offering deterministic message delays. In its time-triggered communication variant, a network path needs to be planned for each realtime data flow and corresponding transmission time slots have to be reserved on the network links along that path. In this paper, we present the first joint mathematical model for path routing and time slot scheduling that combines multicast support with an individual transmission scheduling on each link along a flow's path. We provide a formalization as an Integer Linear Programming (ILP) problem and discuss several optimizations to significantly reduce the ILP solver's runtime without affecting the solution quality. In a thorough evaluation, we show the applicability of our approach and analyze the effects and trade-offs of different objective functions.

关键词： Routing Schedules Network topology Optimization Runtime Switches Delays

来源：评论

学校读者我要写书评

暂无评论

Software-Defined Security Architecture for Smart Buildings using the Building Information Model

Software-Defined Security Architecture for Smart Buildings u...

引用

2019 IEEE Global Conference on Internet of Things, GCIoT 2019

作者： Wall, Arne Butzin, Bjorn Golatowski, Frank Rethfeldt, Michael Timmermann, Dirk University of Rostock Institute of Applied Microelectronics and Computer Engineering Rostock18051 Germany

ISBN: (纸本)9781728148731

Due to the fact that every smart building is a unique composition of devices, services, and users there is no one-fits-all security architecture. With our proposal we address this problem by using Building Information Modeling (BIM) as source of information for our security concept. Using BIM, models are created throughout the planning of a building, which do not consist only of 3D information such as typical CAD drawings, but also provide a rich set of metadata about the building elements including devices, their interrelationships and networking. Thus, BIM can be used to derive security configurations for each individual embedded device, its services and the network as a whole. We demonstrate the function of a general Security Controller to partition the network on MAC layer. Furthermore, we draw an overall picture of the proposed architecture and the range of possible applications. © 2019 IEEE.

关键词： Network layers

来源：评论

学校读者我要写书评

暂无评论

BAG2 Assisted Hierarchical Analog Layout Synthesis for Planar Technologies

BAG2 Assisted Hierarchical Analog Layout Synthesis for Plana...

引用

Austrian Workshop on microelectronics (Austrochip)

作者： Matthew Bio Wolfgang Scherr A. S. Agbemenu Santiago Martin Sondón Johannes Sturm Vinayak Hande Josef Ressel Centre for System-on-Chip Design Automation Carinthia Institute for Microelectronics Carinthia University of Applied Sciences Department of Computer Engineering Kwame Nkrumah University of Science and Technology Kumasi Ghana Department of Integrated Systems and Circuit Design Carinthia University of Applied Sciences Villach Austria

Analog circuit design automation remains an intense area of attention and has seen both new and existing tools continued to be developed targeting different phases of the analog design flow to reduce development time and cost. One of the promising tools is the Berkeley analog generator (BAG2) framework which is an open-source analog layout generator for automating and verifying circuit layouts. It promises a process-independent flow as well as encourages design re-use due to using parameterized generators which can be scaled as required and this reduces the layout-development time compared to manual hand-made layouts. This work describes the effort and results of evaluating the BAG2 framework for the TSMC 65nm and Cadence GPDK 45nm processes. A case study is made with a number of circuits to discuss the problems in setting up and using BAG2 for the above technologies as well as the limitations and solutions required to utilize the framework effectively.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Low-Cost, Self-Calibrating Light Barriers in Sports

Low-Cost, Self-Calibrating Light Barriers in Sports

引用

Mediterranean Conference on Embedded Computing (MECO)

作者： Theo Gabloffsky Ralf Salomon Institute of Applied Microelectronics and Computer Engineering University of Rostock Germany

ISBN: (数字)9781728169491

ISBN: (纸本)9781728169507

Light barriers are well-known and widely used tools in numerous application areas, as diverse as engineering, sports sciences, social sciences, and nuclear physics. Besides their success and distribution, light barriers have to be calibrated by hand, which is at least cumbersome and error-prone in the field. This paper proposes a new light barrier architecture, which solves this problems by providing a self-calibration mechanism. The first prototypical implementation was successfully tested in two different environments. The system costs are as low as 30 USD, since the proposed system can be realized by off-the-shelf components.

关键词：

来源：评论

学校读者我要写书评

暂无评论

An Attention-Based Parallel Algorithm for Hyperspectral Skin Cancer Classification on Low-Power GPUs

An Attention-Based Parallel Algorithm for Hyperspectral Skin...

引用

Euromicro Symposium on Digital System Design

作者： Emanuele Torti Marco Gazzoni Elisa Marenzi Raquel Leon Gustavo Marrero Callicò Giovanni Danese Francesco Leporati Dept. of Electrical Computer and Biomedical Engineering University of Pavia Pavia Italy Institute for Applied Microelectronics (IUMA) Universidad de Las Palmas de Gran Canaria Las Palmas de Gran Canaria Spain

Recently, several medical applications have relied on hyperspectral imaging. This technology enables both automated diagnosis and surgeon guidance. The employed algorithms adopt machine and deep learning methods to classify the images. In particular, Vision Transformers are a recent deep architecture that have been used to classify hyperspectral images of skin cancers achieving interesting results. However, deep architectures are computationally intensive and parallel architectures are mandatory to ensure a fast classification (depending on the application type even in real time). In this paper, we propose a parallel Vision Transformer architecture exploiting a low power GPU targeting the development of a portable diagnostic device. The classification time and power consumption of the low power board are compared with the performance of a desktop GPU. The results clearly highlight the suitability of the low power GPU to develop a portable diagnostic system based on hyperspectral imaging.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Modeling Energy Consumption for Task-Offloading Decisions on Mobile and Embedded Devices

Modeling Energy Consumption for Task-Offloading Decisions on...

引用

IEEE Global Conference on Life Sciences and Technologies (LifeTech)

作者： Christoph Niemann Christian Ewert Henning Puttnies Michael Rethfeldt Dirk Timmermann Peter Danielis Institute of Applied Microelectronics and Computer Engineering University of Rostock Rostock Germany Department of Computer Science University of Rostock Rostock Germany

ISBN: (数字)9781728170633

ISBN: (纸本)9781728170640

Connected mobile and embedded devices including tablets, smartphones, and smartwatches but also IoT sensors and actuators as well as medical implants are subject to a rapid development in terms of their numbers and computing power. However, these devices have energy limitations, e.g., due to limited energy supplies. In order for networked devices to be able to manage their energy, they can offload tasks to other devices. However, they need to estimate the energy demand to execute the tasks in order to take offloading decisions. This paper proposes energy models for estimating the energy consumption for task processing derived from practical measurements for exemplary tasks. The task-processing energy consumption models are implemented in the OMNeT++ simulator to allow simulative, accurate task-offloading investigations.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Technology Roadmap for Flexible Sensors

引用

ACS NANO 2023年第6期17卷 5211-5295页

作者： Luo, Yifei Abidian, Mohammad Reza Ahn, Jong-Hyun Akinwande, Deji Andrews, Anne M. Antonietti, Markus Bao, Zhenan Berggren, Magnus Berkey, Christopher A. Bettinger, Christopher John Chen, Jun Chen, Peng Cheng, Wenlong Cheng, Xu Choi, Seon-Jin Chortos, Alex Dagdeviren, Canan Dauskardt, Reinhold H. Di, Chong-an Dickey, Michael D. Duan, Xiangfeng Facchetti, Antonio Fan, Zhiyong Fang, Yin Feng, Jianyou Feng, Xue Gao, Huajian Gao, Wei Gong, Xiwen Guo, Chuan Fei Guo, Xiaojun Hartel, Martin C. He, Zihan Ho, John S. Hu, Youfan Huang, Qiyao Huang, Yu Huo, Fengwei Hussain, Muhammad M. Javey, Ali Jeong, Unyong Jiang, Chen Jiang, Xingyu Kang, Jiheong Karnaushenko, Daniil Khademhosseini, Ali Kim, Dae-Hyeong Kim, Il-Doo Kireev, Dmitry Kong, Lingxuan Lee, Chengkuo Lee, Nae-Eung Lee, Pooi See Lee, Tae-Woo Li, Fengyu Li, Jinxing Liang, Cuiyuan Lim, Chwee Teck Lin, Yuanjing Lipomi, Darren J. Liu, Jia Liu, Kai Liu, Nan Liu, Ren Liu, Yuxin Liu, Yuxuan Liu, Zhiyuan Liu, Zhuangjian Loh, Xian Jun Lu, Nanshu Lv, Zhisheng Magdassi, Shlomo Malliaras, George G. Matsuhisa, Naoji Nathan, Arokia Niu, Simiao Pan, Jieming Pang, Changhyun Pei, Qibing Peng, Huisheng Qi, Dianpeng Ren, Huaying Rogers, John A. Rowe, Aaron Schmidt, Oliver G. Sekitani, Tsuyoshi Seo, Dae-Gyo Shen, Guozhen Sheng, Xing Shi, Qiongfeng Someya, Takao Song, Yanlin Stavrinidou, Eleni Su, Meng Sun, Xuemei Takei, Kuniharu Tao, Xiao-Ming Tee, Benjamin C. K. Thean, Aaron Voon-Yew Trung, Tran Quang Wan, Changjin Wang, Huiliang Wang, Joseph Wang, Ming Wang, Sihong Wang, Ting Wang, Zhong Lin Weiss, Paul S. Wen, Hanqi Xu, Sheng Xu, Tailin Yan, Hongping Yan, Xuzhou Yang, Hui Yang, Le Yang, Shuaijian Yin, Lan Yu, Cunjiang Yu, Guihua Yu, Jing Yu, Shu-Hong Yu, Xinge Zamburg, Evgeny Zhang, Haixia Zhang, Xiangyu Zhang, Xiaosheng Zhang, Xueji Zhang, Yihui Zhang, Yu Zhao, Siyuan Zhao, Xuanhe Zheng, Yuanjin Zheng, Yu-Qing Zheng, Zijian Zhou, Tao Zhu, Bowen Zhu, Ming Zhu, Rong Zhu, Yangzhi Zhu, Yong Zou, Guijin Chen, Xiaodong 08-03 Innovis Singapore 138634 Republic of Singapore Innovative Centre for Flexible Devices (iFLEX) School of Materials Science and Engineering Nanyang Technological University Singapore 639798 Singapore Department of Biomedical Engineering University of Houston Houston Texas 77024 United States School of Electrical and Electronic Engineering Yonsei University Seoul 03722 Republic of Korea Department of Electrical and Computer Engineering The University of Texas at Austin Austin Texas 78712 United States Microelectronics Research Center The University of Texas at Austin Austin Texas 78758 United States Department of Chemistry and Biochemistry California NanoSystems Institute and Department of Psychiatry and Biobehavioral Sciences Semel Institute for Neuroscience and Human Behavior and Hatos Center for Neuropharmacology University of California Los Angeles Los Angeles California 90095 United States Colloid Chemistry Department Max Planck Institute of Colloids and Interfaces 14476 Potsdam Germany Department of Chemical Engineering Stanford University Stanford California 94305 United States Laboratory of Organic Electronics Department of Science and Technology Campus Norrköping Linköping University 83 Linköping Sweden Wallenberg Initiative Materials Science for Sustainability (WISE) and Wallenberg Wood Science Center (WWSC) SE-100 44 Stockholm Sweden Department of Materials Science and Engineering Stanford University Stanford California 94301 United States Department of Biomedical Engineering and Department of Materials Science and Engineering Carnegie Mellon University Pittsburgh Pennsylvania 15213 United States Department of Bioengineering University of California Los Angeles Los Angeles California 90095 United States School of Chemistry Chemical Engineering and Biotechnology Nanyang Technological University Singapore 637457 Singapore Nanobionics Group Department of Chemical and Biological Engineering Monash University Clayton Australia 3800 Monash

Humans rely increasingly on sensors to address grand challenges and to improve quality of life in the era of digitalization and big data. For ubiquitous sensing, flexible sensors are developed to overcome the limitations of conventional rigid counterparts. Despite rapid advancement in bench-side research over the last decade, the market adoption of flexible sensors remains limited. To ease and to expedite their deployment, here, we identify bottlenecks hindering the maturation of flexible sensors and propose promising solutions. We first analyze continued...challenges in achieving satisfactory sensing performance for real-world applications and then summarize issues in compatible sensor-biology interfaces, followed by brief discussions on powering and connecting sensor networks. Issues en route to commercialization and for sustainable growth of the sector are also analyzed, highlighting environmental concerns and emphasizing nontechnical issues such as business, regulatory, and ethical considerations. Additionally, we look at future intelligent flexible sensors. In proposing a comprehensive roadmap, we hope to steer research efforts towards common goals and to guide coordinated development strategies from disparate communities. Through such collaborative

关键词： soft materials mechanics engineering flexible electronics conformable sensors bioelectronics human-machine interfaces body area sensor networks technology translation sustainable electronics

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：