检索结果-内蒙古大学图书馆

Self-Awareness for Autonomous systems

PROCEEDINGS OF THE IEEE 2020年第7期108卷 971-975页

作者： Dutt, Nikil Regazzoni, Carlo S. Rinner, Bernhard Yao, Xin Nikil Dutt (Fellow IEEE) received the Ph.D. degree from the University of Illinois at Urbana–Champaign Champaign IL USA in 1989.""He is currently a Distinguished Professor of computer science (CS) cognitive sciences and electrical engineering and computer sciences (EECS) with the University of California at Irvine Irvine CA USA. He is a coauthor of seven books. His research interests include embedded systems electronic design automation (EDA) computer architecture distributed systems healthcare Internet of Things (IoT) and brain-inspired architectures and computing.""Dr. Dutt is a Fellow of ACM. He was a recipient of the IFIP Silver Core Award. He has received numerous best paper awards. He serves as the Steering Committee Chair of the IEEE/ACM Embedded Systems Week (ESWEEK). He is also on the steering organizing and program committees of several premier EDA and embedded system design conferences and workshops. He has served on the Editorial Boards for the IEEE Transactions on Very Large Scale Integration (VLSI) Systems and the ACM Transactions on Embedded Computing Systems and also previously served as the Editor-in-Chief (EiC) for the ACM Transactions on Design Automation of Electronic Systems. He served on the Advisory Boards of the IEEE Embedded Systems Letters the ACM Special Interest Group on Embedded Systems the ACM Special Interest Group on Design Automationt and the ACM Transactions on Embedded Computing Systems. Carlo S. Regazzoni (Senior Member IEEE) received the M.S. and Ph.D. degrees in electronic and telecommunications engineering from the University of Genoa Genoa Italy in 1987 and 1992 respectively.""He is currently a Full Professor of cognitive telecommunications systems with the Department of Electrical Electronics and Telecommunication Engineering and Naval Architecture (DITEN) University of Genoa and a Co-Ordinator of the Joint Doctorate on Interactive and Cognitive Environments (JDICE) international Ph.D. course started initially as EU Erasmus Mundus Project and

Autonomous systems are able to make decisions and potentially take actions without direct human intervention, which requires some knowledge about the system and its environment as well as goal-oriented reasoning. In computer systems, one can derive such behavior from the concept of a rational agent with autonomy (“control over its own actions”), reactivity (“react to events from the environment”), proactivity (“act on its own initiative”), and sociality (“interact with other agents”) as fundamental properties \n[1]\n. Autonomous systems will undoubtedly pervade into our everyday lives, and we will find them in a variety of domains and applications including robotics, transportation, health care, communications, and entertainment to name a few. \nThe articles in this month’s special issue cover concepts and fundamentals, architectures and techniques, and applications and case studies in the exciting area of self-awareness in autonomous systems.

关键词： Special issues and sections Autonomous systems Self-aware Robot sensing systems Computational modeling

来源：评论

学校读者我要写书评

暂无评论

Simultaneous spectral-spatial feature selection and extraction for hyperspectral images

arXiv

引用

arXiv 2019年

作者： Zhang, Lefei Zhang, Qian Du, Bo Huang, Xin Tang, Yuan Yan Tao, Dacheng State Key Laboratory of Software Engineering School of Computer Wuhan University Wuhan430072 China Beijing Samsung Telecom R&D Center Beijing100028 China School of Remote Sensing and Information Engineering Wuhan University Wuhan430072 China Department of Computer and Information Science University of Macau Macau999078 China Centre for Quantum Computation and Intelligent Systems Faculty of Engineering and Information Technology University of Technology SydneyNSW2007 Australia

In hyperspectral remote sensing data mining, it is important to take into account of both spectral and spatial information, such as the spectral signature, texture feature and morphological property, to improve the performances, e.g., the image classification accuracy. In a feature representation point of view, a nature approach to handle this situation is to concatenate the spectral and spatial features into a single but high dimensional vector and then apply a certain dimension reduction technique directly on that concatenated vector before feed it into the subsequent classifier. However, multiple features from various domains definitely have different physical meanings and statistical properties, and thus such concatenation hasn't efficiently explore the complementary properties among different features, which should benefit for boost the feature discriminability. Furthermore, it is also difficult to interpret the transformed results of the concatenated vector. Consequently, finding a physically meaningful consensus low dimensional feature representation of original multiple features is still a challenging task. In order to address the these issues, we propose a novel feature learning framework, i.e., the simultaneous spectral-spatial feature selection and extraction algorithm, for hyperspectral images spectralspatial feature representation and classification. Specifically, the proposed method learns a latent low dimensional subspace by projecting the spectral-spatial feature into a common feature space, where the complementary information has been effectively exploited, and simultaneously, only the most significant original features have been transformed. Encouraging experimental results on three public available hyperspectral remote sensing datasets confirm that our proposed method is effective and efficient. Copyright © 2019, The Authors. All rights reserved.

关键词： Feature extraction

来源：评论

学校读者我要写书评

暂无评论

Influence of Network Speed on Structured Query Language (SQL) Database Data Transmission Performance in an Internet of Things (IoT) Sensing Device on Single Board computers (SBC)

引用

IOP Conference Series: Materials Science and engineering 2019年第1期551卷

作者： A Nor Azhar S Nur Ayuni Hasna AH Roslina Z Fauziah M Rahmah Department of Computer Science Department of Computer Systems & Networking Department of Software Engineering Department of Graphic & Multimedia Technology Faculty of Computer Systems & Software Engineering Universiti Malaysia Pahang Lebuhraya Tun Razak Gambang 26300 Kuantan Pahang Malaysia

One of the crucial elements in an Internet of Things (IoT) environment is a database. IoT performance will be at stake if the wrong database is adopted. In this research, three Structured Query Language (SQL) databases were tested against multiple network speeds in an IoT device. Single board computers (SBC) were used as a media of testing instead of an ordinary computer. A controlled wireless sensor network (WSN) was developed with several uniform constants and variable network speeds. A new data transmission rate equation also was proposed and tested. From the result, it was found that not all SQL databases can cater IoT devices. Some of them showed that performance decreased along with network speed. The correlation, between 0.90 and 0.96, proved the strong influence between the research subjects. In addition, file-type database is the best option available for SQL-wise IoT storage.

关键词：

来源：评论

学校读者我要写书评

暂无评论

An adaptive flower pollination algorithm for software test suite minimization 3

An adaptive flower pollination algorithm for software test s...

引用

3rd International Conference on Electrical Information and Communication Technology, EICT 2017

作者： Kabir, Muhammad Nomani Ali, Jahan Alsewari, AbdulRahman A. Zamli, Kamal Z. Faculty of Computer Systems and Software Engineering University Malaysia Pahang Gambang Pahang26300 Malaysia

ISBN: (纸本)9781538623053

Optimization is the selection of a best set of parameters from available alternative sets. Global optimization is the task of finding the absolutely best set of parameters. In this paper, we present an adaptive flower pollination algorithm for solving an optimization problem, i.e., minimization of software test suite for interaction testing. In software testing, test engineers generate a set of test cases to validate against the requirements to avoid failure of the software. Testing all the interactions for modern software with many system inputs is impractical due to huge number of possible combinations of the inputs. In order to tackle the issue, global optimization algorithms are used to systematically minimize the test suite for interaction testing. Using the proposed adaptive flower pollination algorithm, we carried out some experiments for minimizing software test suite for interaction testing. The results were compared with the results of some existing algorithms to demonstrate the strength of our algorithm. Comparison shows that our algorithm performs slightly better than the existing algorithms and thus, the proposed algorithm can potentially be used by researchers and test engineers to obtain optimal test suite. © 2017 IEEE.

关键词： Global optimization

来源：评论

学校读者我要写书评

暂无评论

Persuasive agents for sustainable business practice: A theoretical study

引用

AIP Conference Proceedings 2019年第1期2129卷

作者： Bokolo Anthony, Jnr Mazlina Abdul Majid Awanis Romli 1Faculty of Computer Systems and Software Engineering Universiti Malaysia Pahang 26300 Gambang Pahang Malaysia

Presently practitioners in businesses are faced with issues related to the implementation of sustainable practices. Accordingly, practitioners in businesses need to make decision based on their current practice to verify if present practice considers the environmental, economic, and social elements of sustainability. But, at the moment businesses utilizes manual specification based ranking and benchmarking approaches to ascertain that practitioners consider the natural environment and society as they make profit. Nevertheless, there is need for an autonomous method of measuring firms sustainable practice implementation. Therefore, this paper develops a persuasive agent’s model to measure; benchmark and rate businesses current practice based on review of prior sustainability studies. The persuasive agents’ model comprises of sustainable practice operations question, alternatives, and persuasive agents measurement procedures. Respectfully, findings from the study depict how the integrated persuasive agents autonomously measure, benchmark, rate and provide recommendations to practitioners. This study provides implications on how businesses can improve their business operation towards social, economic and environmental sustainable practice implementation.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Preface

引用

CEUR Workshop Proceedings 2021年 2899卷

作者： Kovalev, Igor Semenkin, Eugene Gulyaev, Yuri Barakaev, Nusratilla Shaidurov, Vladimir Škraba, Andrej Tsarev, Roman Legalov, Alexander Saramud, Mikhail Grosspietsch, Karl-Erwin Stupina, Alena Department of Computer Science Siberian Federal University Krasnoyarsk Russia Department of system analysis and operations research of Reshetnev University Krasnoyarsk Russia International and Russian Union of Scientific and Engineering Associations Moscow Russia Rector of Bukhara Engineering Technological Institute Bukhara Uzbekistan Institute of Computational Modeling SB RAS Krasnoyarsk Russia University of Maribor UM Faculty of Organizational Sciences - Cybernetics and Decision Support Systems Laboratory Slovenia Department of Informatics Siberian Federal University Krasnoyarsk Russia Faculty of Computer Science School of Software Engineering HSE University Moscow Russia Department of Informatics Siberian Federal University Krasnoyarsk Russia European Organization for Information and Microelectronics Germany The Siberian Federal University Krasnoyarsk Russia

来源：评论

学校读者我要写书评

暂无评论

A scheme for finding and blocking black hole nodes in mobile ad hoc networks

引用

International Journal of Network Security 2019年第6期21卷 1021-1030页

作者： Zardari, Zulfiqar Ali He, Jingsha Zhu, Nafei Pathan, Muhammad Salman Memon, Muhammad Qasim Hussain, Muhammad Iftikhar He, Peng Chang, Chengyue Faculty of Information Technology Beijing Engineering Research Center for IoT Software and Systems Beijing University of Technology Beijing100124 China College of Computer and Information Science China Three Gorges University China Advanced Innovation Center for Future Education Beijing Normal University China Machinery Industry Information Center Beijing100823 China

Security of wireless nodes are a major concern in mobile ad hoc networks (MANETs). In this paper, we propose a scheme for detecting and blocking malicious nodes in MANETs. Our proposed scheme relies on specially deployed nodes called FBS nodes to continuously monitor the behaviour of the network nodes. When an FBS node detects a node that exhibits suspicious behaviour, it declares that node as a black hole node. Afterwards, all data and control messages from that node will be discarded. Experiment results show that the proposed scheme can reduce the number of packets dropped by malicious nodes with a low false positive rate. © 2019 Femto Technique Co., Ltd.

关键词： Mobile ad hoc networks

来源：评论

学校读者我要写书评

暂无评论

Towards Optimal Search: An Efficient Search Algorithm for Arabic Text using Secant Method

Towards Optimal Search: An Efficient Search Algorithm for Ar...

引用

Applied Mathematics and engineering (BICAME), Borneo International Conference on

作者： Muhammad Nomani Kabir Yasser Alginahi Jahan Ali Hocine Benseghir Faculty of Computer Systems & Software Engineering University Malaysia Pahang Malaysia Gambang Kuantan Malaysia Dept. of Electrical and Computer Engineering University of Windsor Windsor Ontario Canada Faculty of Engineering Technology University Malaysia Pahang Kuantan Malaysia

ISBN: (数字)9781538677254

ISBN: (纸本)9781538677261

Search techniques are an integral part for text authentication and plagiarism checks. In this work, our aim is to develop an efficient search algorithm for Arabic text (words and sentences) in a large database. The database contains the authentic source of information where information is ordered; thus the efficient algorithm can be used for searching the text in the database. The proposed search algorithm uses a quasi-Newton method - Secant method instead of the traditional binary search. The results show that the secant method has much faster convergence property than the binary search and hence the algorithm can find the search text in a shorter time period.

关键词： Interpolation Indexes Heuristic algorithms Search problems Approximation algorithms

来源：评论

学校读者我要写书评

暂无评论

Correction to: Type 2 Diabetes with Artificial Intelligence Machine Learning: Methods and Evaluation

引用

Archives of Computational Methods in engineering 2021年第7期28卷 5039-5039页

作者： Ismail, Leila Materwala, Huned Tayefi, Maryam Ngo, Phuong Karduck, Achim P. Intelligent Distributed Computing and Systems Research Laboratory Department of Computer Science and Software Engineering College of Information Technology United Arab Emirates University Al Ain Abu Dhabi United Arab Emirates National Water and Energy Center United Arab Emirates University Al Ain Abu Dhabi United Arab Emirates Norwegian Centre for E-Health Research Tromsø Norway Faculty of Informatics Furtwangen University Furtwangen Germany

来源：评论

学校读者我要写书评

暂无评论

Towards fair and decentralized privacy-preserving deep learning with blockchain

arXiv

引用

arXiv 2019年

作者： Lyu, Lingjuan Yu, Jiangshan Nandakumar, Karthik Li, Yitong Ma, Xingjun Jin, Jiong Research School of Computer Science Australian National University ACT2601 Australia Faculty of Information Technology Monash University ClaytonMO Australia IBM Singapore Lab 018983 Singapore School of Computing and Information Systems University of Melbourne MelbourneVIC3010 Australia School of Software and Electrical Engineering Swinburne University of Technology MelbourneVIC Australia

In collaborative deep learning, current learning frameworks follow either a centralized architecture or a distributed architecture. Whilst centralized architecture deploys a central server to train a global model over the massive amount of joint data from all parties, distributed architecture aggregates parameter updates from participating parties' local model training, via a parameter server. These two server-based architectures present security and robustness vulnerabilities such as singlepoint-of-failure, single-point-of-breach, privacy leakage, and lack of fairness. To address these problems, we design, implement, and evaluate a purely decentralized privacy-preserving deep learning framework, called DPPDL. DPPDL makes the first investigation on the research problem of fairness in collaborative deep learning, and simultaneously provides fairness and privacy by proposing two novel algorithms: initial benchmarking and privacy-preserving collaborative deep learning. During initial benchmarking, each party trains a local Differentially Private Generative Adversarial Network (DPGAN) and publishes the generated privacy-preserving artificial samples for other parties to label, based on the quality of which to initialize local credibility list for other parties. The local credibility list reflects how much one party contributes to another party, and it is used and updated during collaborative learning to ensure fairness. To protect gradients transaction during privacy-preserving collaborative deep learning, we further put forward a three-layer onionstyle encryption scheme. We experimentally demonstrate, on benchmark image datasets, that accuracy, privacy and fairness in collaborative deep learning can be effectively addressed at the same time by our proposed DPPDL framework. Moreover, DPPDL provides a viable solution to detect and isolate the cheating party in the system. Copyright © 2019, The Authors. All rights reserved.

关键词： Benchmarking

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：