检索结果-内蒙古大学图书馆

13th IEEE International Workshop on FTDCS 2011, the 8th International Conference on ATC 2011, the 8th International Conference on UIC 2011 and the 13th IEEE International Conference on HPCC 2011

作者： Rathore, Vijeta Yoo, Jonghun Lee, Jaesoo Hong, Seongsoo School of Electrical Engineering and Computer Science Seoul National University Korea Republic of Department of Intelligent Convergence Systems Graduate School of Convergence Science and Technology Seoul National University Korea Republic of Advanced Institutes of Convergence Science and Technology Seoul National University Korea Republic of

ISBN: (纸本)9780769545387

In a cloud computing system, virtual machines owned by different clients are co-hosted on a single physical machine. It is vital to isolate network performance between the clients for ensuring fair usage of the constrained and shared network resources of the physical machine. Unfortunately, the existing network performance isolation techniques are not effective for cloud computing systems because they are difficult to be adopted in a large scale and require non-trivial modification to the network stack of a guest OS. In this paper, we propose a performance isolation-enabled virtual distributed Ethernet (PIE-VDE) to overcome such difficulties. It is a network virtualization software module running on a host OS. It intends to (1) allocate fair share of outgoing link bandwidth to the co-hosted clients and (2) divide a client's share to the virtual machines owned by it in a fair way. Our approach supports full virtualization of a guest OS, ease in wide scale adoption, limited modification to the existing system, low run-time overhead and work-conserving servicing. Experimental results show the effectiveness of the proposed mechanism. Every client received at least 99.5% of its bandwidth share as specified by its weight. © 2011 IEEE.

关键词： Ethernet

来源：评论

学校读者我要写书评

暂无评论

Emot Act AR: Tailoring Content Through User Emotion and Activity Analysis

Emot Act AR: Tailoring Content Through User Emotion and Acti...

引用

Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), IEEE Conference on

作者： Somaiieh Rokhsaritalemi Abolghasem Sadeghi-Niaraki Soo-Mi Choi Sejong University Dept. of Computer Science & Engineering and Convergence Engineering for Intelligent Drone XR Research Center Sejong University Seoul

ISBN: (数字)9798350374490

ISBN: (纸本)9798350374506

In an era characterized by immersive content delivery experiences, the convergence of augmented reality (AR) and user behavior data stands out as a transformative synergy. This paper introduces “Emot Act AR,” an innovative system intricately designed to dynamically tailor virtual content by user data. This framework incorporates user emotions and activities as intrinsic components. Through the utilization of sensing devices like camera and advanced AI models, the system dynamically customizes virtual elements, such as virtual flowers, in both static and dynamic settings. Additionally, the system utilizes user activity data to activate messaging avatars that encourage exercise.

关键词： Solid modeling Three-dimensional displays Conferences Avatars User interfaces Flowering plants Cameras

来源：评论

学校读者我要写书评

暂无评论

Understanding postal delivery areas in the Republic of Korea using multiple unsupervised learning approaches

Understanding postal delivery areas in the Republic of Korea...

引用

作者： Han, Keejun Yu, Yeongwoong Na, Dong-gil Jung, Hoon Heo, Younggyo Jeong, Hyeoncheol Yun, Sunguk Kim, Jungeun Intelligent Convergence Research Laboratory Electronics and Telecommunications Research Institute Daejeon Korea Republic of Department of Computer Science and Engineering Kongju National University Cheonan Korea Republic of

Changes in household composition and the residential environment have had a considerable impact on the features of postal delivery regions in recent years, resulting in a large increase in the overall workload of domestic postal delivery services. In this paper, we provide complex analysis results for postal delivery areas using various unsupervised learning approaches. First, we extract highly influential features using several feature-engineering methods. Then, using quantitative and qualitative cluster analyses, we find the distinctive traits and semantics of postal delivery zones. Unsupervised learning approaches are useful for successfully grouping postal service zones, according to our findings. Furthermore, by comparing a postal delivery region to other areas in the same group, workload balancing was achieved. 1225-6463/$ © 2022 ETRI.

关键词： Cluster analysis

来源：评论

学校读者我要写书评

暂无评论

An injectable conductive hydrogel for closed-loop and robot-assisted rehabilitation via stretchable patch-type electrodes

引用

Nature protocols 2025年 2025 May 19页

作者： Subin Jin Heewon Choi Donghee Son Mikyung Shin Department of Intelligent Precision Healthcare Convergence Sungkyunkwan University Suwon Republic of Korea. Center for Neuroscience Imaging Research Institute for Basic Science Suwon Republic of Korea. Department of Electrical and Computer Engineering Sungkyunkwan University Suwon Republic of Korea. Center for Neuroscience Imaging Research Institute for Basic Science Suwon Republic of Korea. daniel3600@g.skku.edu. Department of Electrical and Computer Engineering Sungkyunkwan University Suwon Republic of Korea. daniel3600@g.skku.edu. Department of Artificial Intelligence System Engineering Sungkyunkwan University Suwon Republic of Korea. daniel3600@g.skku.edu. Department of Intelligent Precision Healthcare Convergence Sungkyunkwan University Suwon Republic of Korea. mikyungshin@g.skku.edu. Center for Neuroscience Imaging Research Institute for Basic Science Suwon Republic of Korea. mikyungshin@g.skku.edu. Department of Biomedical Engineering Sungkyunkwan University Suwon Republic of Korea. mikyungshin@g.skku.edu.

Conventional therapies for severe musculoskeletal and neurological injuries require lengthy recovery periods, which may result in residual disabilities. As an innovative rehabilitation approach, the combination of soft conducting hydrogels as an injectable tissue prosthesis with self-healing, stretchable bioelectronic devices offers a promising solution to expedite tissue repair and enhance functional restoration. This class of tissue prostheses can help address the critical limitations of traditional materials and devices by providing a minimally invasive approach to filling tissue defects and reconstructing the electrophysiological environment. The integration of an injectable tissue prosthesis with exoskeleton robotics in closed-loop systems enables tailored rehabilitation interventions that optimize motor function efficiency. Here we provide the step-by-step instructions for the development and characterization of injectable tissue-interfacing conductive hydrogels and soft self-healing, stretchable bioelectronic devices. We also describe how to establish a fully integrated closed-loop rehabilitation system and show its efficacy in a rat model of volumetric muscle loss. Using this approach, we have achieved accelerated tissue regeneration and improved myofiber regeneration in rats, underscoring the potential of this approach to improve rehabilitation strategies for severe injuries. The protocol is suitable for users with experience in biomaterials, devices and animal handling and requires 30 d to complete.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Improving Indoor Positioning Systems with UWB and Filtering Techniques: A ComparativeAnalysis 23

Improving Indoor Positioning Systems with UWB and Filtering ...

引用

23rd International Conference on Control, Automation and Systems, ICCAS 2023

作者： Rahul Ranjan, First A. Younsik Jung, Second B. Donggyu, Shin Kim, Third. Sanghyun Kim, Chang-Hyun Lee, Seungjae Kye, Joongeup Intelligent Robot Research Institute Sun Moon University Department of Computer Engineering and Electronics Convergence Asan31460 Korea Republic of Intelligent Robot Research Institute Sun Moon University Department of Computer Science and Engineering Asan31460 Korea Republic of Kyung Hee University Department of Mechanical Engineering Suwon17104 Korea Republic of Korea Institute of Machinery & Materials Daejeon34103 Korea Republic of Intelligent Robot Research Institute Sun Moon University Department of Mechanical Engineering Asan31460 Korea Republic of

ISBN: (纸本)9788993215274

In today's world, indoor positioning systems(IPS) have become a fascinating research area. Accurate positioning of mobile robots in indoor environments remains challenging due to various positioning techniques and the complexities associated with dynamic environments, dense obstacles, and different material types. Indoor localization systems face challenges in reducing noise and enhancing accuracy. In this paper, an Ultra-Wideband(UWB) based localization system is under test to evaluate the efficiency of the measurement using two different methods, Low-Pass Filter(LPF) and Kalman Filter(KF), on Robot Operating System(ROS) platform. This study aims to assess and compare the effectiveness of the proposed methods in reducing noise and improving the accuracy of indoor localization systems. A set of position data was recorded in the lab environment. The proposed Filtered is applied and compared with target trajectory paths. The findings of this research contribute to the development of robust and reliable indoor localization systems crucial for various applications, including mobile robotics, automation, and human-computer interaction. © 2023 ICROS.

关键词： Kalman filters

来源：评论

学校读者我要写书评

暂无评论

An Efficient Attention-Based Strategy for Anomaly Detection in Surveillance Video

引用

computer Systems science & engineering 2023年第9期46卷 3939-3958页

作者： Sareer Ul Amin Yongjun Kim Irfan Sami Sangoh Park Sanghyun Seo Department of Computer Science and Engineering Chung-Ang UniversitySeoul06974Korea Intelligent Convergence Research Lab. ETRIDaeJeon34129Korea Department of Electrical and Electronics Engineering Chung-Ang UniversitySeoul06974Korea College of Art and Technology Chung-Ang UniversityAnseong17546Korea

In the present technological world,surveillance cameras generate an immense amount of video data from various sources,making its scrutiny tough for computer vision *** is difficult to search for anomalous events manually in thesemassive video records since they happen infrequently and with a low probability in real-world monitoring ***,intelligent surveillance is a requirement of the modern day,as it enables the automatic identification of normal and aberrant behavior using artificial intelligence and computer vision *** this article,we introduce an efficient Attention-based deep-learning approach for anomaly detection in surveillance video(ADSV).At the input of the ADSV,a shots boundary detection technique is used to segment prominent ***,The Lightweight ConvolutionNeuralNetwork(LWCNN)model receives the segmented frames to extract spatial and temporal information from the intermediate *** that,spatial and temporal features are learned using Long Short-Term Memory(LSTM)cells and Attention Network from a series of frames for each anomalous activity in a *** detect motion and action,the LWCNN received chronologically sorted ***,the anomaly activity in the video is identified using the proposed trained ADSV *** experiments are conducted on complex and challenging benchmark *** addition,the experimental results have been compared to state-ofthe-artmethodologies,and a significant improvement is attained,demonstrating the efficiency of our ADSV method.

关键词： Attention-based anomaly detection video shots segmentation video surveillance computer vision deep learning smart surveillance system violence detection attention model

来源：评论

学校读者我要写书评

暂无评论

Hd-Fuzz: Hardware Dependency-Aware Firmware Fuzzing Via Hybrid Mmio Modeling

SSRN

引用

SSRN 2023年

作者： Kim, Juhwan Yu, Jihyeon Lee, Youngwoo Kim, Dan Dongseong Yun, Joobeom Department of Computer and Information Security and Convergence Engineering for Intelligent Drone Sejong University Seoul05006 Korea Republic of School of Information Technology and Electrical Engineering University of Queensland BrisbaneQLD4067 Australia

Numerous interconnected small embedded systems, such as Internet of Things (IoT) devices, are pervasive in our daily lives;however, their security lags behind. In particular, firmware vulnerabilities in low-level infrastructure have a more severe impact than application-level vulnerabilities. Fuzzing is the most effective technique for detecting vulnerabilities in firmware, but it encounters several challenges such as hardware-dependency, input channel, and instrumentation. Existing works attempt to overcome these challenges by combining firmware re-hosting and fuzzing. However, they only explore worthwhile paths based on heuristics and human assistance, which leaves many parts of the firmware’s functionality unreachable by fuzzing. In this work, we propose a novel hardware dependency-aware system named HD-FUZZ that combines low-level firmware re-hosting with fuzzing to explore all paths in the firmware and find bugs efficiently. The key ideas of HD-FUZZ are: 1) to propose a hybrid memory-mapped I/O (MMIO) modeling;2) to achieve high efficiency by performing MMIO modeling through fuzzing for most cases;and 3) to achieve completeness by performing MMIO modeling through symbolic execution only to satisfy complex checks affecting the execution flow. HD-FUZZ has been extensively evaluated on both unit test cases and real-world targets, covering 12 hardware platforms and 67 firmware images. Compared to state-of-the-art works, HD-FUZZ achieves the highest passing rate in unit test benchmarks, reaches up to 2.62 times higher code coverage in fuzzing benchmarks, and generates initial access models up to 11.6 times faster. Notably, HD-FUZZ finds two new bugs, including ones in targets that were previously analyzed by other works. © 2023, The Authors. All rights reserved.

关键词： Internet of things

来源：评论

学校读者我要写书评

暂无评论

Background Debiased Class Incremental Learning for Video Action Recognition

SSRN

引用

SSRN 2023年

作者： Nguyen, Le Quan Choi, Jinwoo Minh, L. Dang Moon, Hyeonjoon Department of Computer Science and Engineering Sejong University Sejong University Seoul Seoul05006 Korea Republic of Department of Information and Communication Engineering and Convergence Engineering for Intelligent Drone Seoul 05006 Sejong University Seoul Korea Republic of School of Computing Kyung Hee University Yongin Korea Republic of

In this work, we tackle class incremental learning (CIL) for video action recognition, a relatively under-explored problem despite its practical importance. Directly applying image-based CIL methods does not work well in the video action recognition setting. We hypothesize the major reason is the spurious correlation between the action and background in video action recognition datasets/models. Recent literature shows that the spurious correlation hampers the generalization of models in the conventional action recognition setting. The problem is even more severe in the CIL setting due to the limited exemplars available in the rehearsal memory. We empirically show that mitigating the spurious correlation between the action and background is crucial to the CIL for video action recognition. We propose to learn background invariant action representations in the CIL setting by providing training videos with diverse backgrounds generated from background augmentation techniques. We validate the proposed method on public benchmarks: HMDB-51, UCF-101, and Something-Something-v2. © 2023, The Authors. All rights reserved.

关键词： Machine learning

来源：评论

学校读者我要写书评

暂无评论

Survey on Integrated Navigation System Based on Inertial Technology

引用

Journal of Institute of Control, Robotics and Systems 2024年第4期30卷 448-463页

作者： Park, Chan Gook Cha, Jaehyuck Choe, Yeongkwon Lee, Jaehong Lee, Hanyeol Kim, Kwangjin Cho, Seong Yun Song, Jin Woo Department of Aerospace Engineering/Automation and Systems Research Institute Seoul National University Korea Republic of Department of Mechatronics Engineering/Department of Smart Health Science and Technology Kangwon National University Korea Republic of Navigation Business Center Hanwha Aerospace Korea Republic of Department of mechanical automotive engineering Kyungil University Korea Republic of Department of Intelligent Mechatronics Engineering and Convergence Engineering for Intelligent Drone Sejong University Korea Republic of

In this paper, we summarize the results of inertial navigation-based integrated navigation systems that have been researched for over 30 years. First, we introduce the core technologies for operating inertial navigation systems (INS) and discuss the technological advances in pedestrian navigation using small and low-cost inertial sensors for mobile devices. Second, we present the integrated navigation systems with other sensors to overcome the limitations of the INS, which degrades over time. The fundamental principles of, and major research on the inertial-based integrated navigation system with global navigation satellite system, database, or camera/LiDAR are discussed. Finally, the major achievements in recent advances in artificial intelligence-assisted navigation are addressed. © ICROS 2024.

关键词： Inertial navigation systems

来源：评论

学校读者我要写书评

暂无评论

Towards Privacy-Preserving Cloud Storage:A Blockchain Approach

引用

computers, Materials & Continua 2021年第12期69卷 2903-2916页

作者： Jia-Shun Zhang Gang Xu Xiu-Bo Chen Haseeb Ahmad Xin Liu Wen Liu Information Security Center State Key Laboratory of Networking and Switching TechnologyBeijing University of Posts and TelecommunicationsBeijing100876China School of Information Science and Technology North China University of TechnologyBeijing100144China Department of Computer Science National Textile UniversityFaisalabad37610Pakistan Inner Mongolia University of Science&Technology School of Information EngineeringBaotou014010China State Key Laboratory of Media Convergence and Communication Communication University of China School of Computer Science and Cybersecurity Communication University of China Key Laboratory of Convergent Media and Intelligent Technology Communication University of China Ministry of EducationBeijing102204China

With the rapid development of cloud computing technology,cloud services have now become a new business model for information *** cloud server provides the IT resources required by customers in a selfservice manner through the network,realizing business expansion and rapid ***,due to the insufficient protection of data privacy,the problem of data privacy leakage in cloud storage is threatening cloud *** address the problem,we propose BC-PECK,a data protection scheme based on blockchain and public key searchable ***,all the data is protected by the encryption *** privacy data is encrypted and stored in a cloud server,while the ciphertext index is established by a public key searchable encryption scheme and stored on the ***,based on the characteristics of trusted execution of smart contract technology,a control mechanism for data accessing and sharing is *** transaction is automatically recorded on the blockchain,which is fairer under the premise of ensuring the privacy and security of the data sharing ***,we analyzed the security and fairness of the current *** the comparison with similar schemes,we have shown the advantages of the proposed scheme.

关键词： Blockchain privacy protection smart contract public encryption keyword search

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：