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Learning to control an Octopus arm with Gaussian process temporal difference methods 05

Learning to control an Octopus arm with Gaussian process tem...

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Proceedings of the 19th international conference on Neural Information Processing systems

作者： Yaakov Engel Peter Szabo Dmitry Volkinshtein AICML Dept. of Computing Science University of Alberta Edmonton Canada Dept. of Electrical Engineering Technion Institute of Technology Haifa Israel

the Octopus arm is a highly versatile and complex limb. How the Octopus controls such a hyper-redundant arm (not to mention eight of them!) is as yet unknown. Robotic arms based on the same mechanical principles may render present day robotic arms obsolete. In this paper, we tackle this control problem using an online reinforcement learning algorithm, based on a Bayesian approach to policy evaluation known as Gaussian process temporal difference (GPTD) learning. Our substitute for the real arm is a computer simulation of a 2-dimensional model of an Octopus arm. Even with the simplifications inherent to this model, the state space we face is a high-dimensional one. We apply a GPTD-based algorithm to this domain, and demonstrate its operation on several learning tasks of varying degrees of difficulty.

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Deepfake Detection Analysis Based on Video Face Analysis

Deepfake Detection Analysis Based on Video Face Analysis

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international computer sciences and Information Technologies (CSIT)

作者： Oleh Pitsun Nazar Melnyk Khrystyna Lipianina-Honcharenko Department of Computer Engineering West Ukrainian National University Ternopil Ukraine Department for Information-Computing Systems and Control West Ukrainian National University Ternopil Ukraine

ISBN: (数字)9798331542634

ISBN: (纸本)9798331542641

the article examines the detection of manipulation of multimedia content, in particular in the form of videos and photos. the concept of deepfake is considered, the means and technologies involved in deepfake are analyzed, current and promising methods of detecting and preventing fake multimedia content are evaluated. Approaches to the methods of creating fakes on videos with elements of manipulation of the human face are defined. Faceswap and Deepfakes Web are found to be the most powerful solutions used to generate deepfakes. An analysis of tools for detecting deepfakes on the face was carried out, which made it possible to highlight the main technologies, libraries, and datasets used to search for fakes. the DeepFake Detection Challenge (DFDC) Model, Forensically, and others have been found to have significant potential and sample size to accurately detect human-faced fakes. this paper proposes a generalized approach to the detection of deep fakes on the human face using machine learning and computer vision technologies

关键词： Training Deep learning Deepfakes Recurrent neural networks Computational modeling Streaming media Libraries Software tools Information technology Faces

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An autonomous fallers monitoring kit: Release 0.0 19th

An autonomous fallers monitoring kit: Release 0.0

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19th international conference on Intelligent systems Design and Applications, ISDA 2019

作者： de la Cal, Enrique DaSilva, Alvaro Fáñez, Mirko Villar, Jose Ramón Sedano, Javier Suárez, Victor Computer Science Department University of Oviedo Oviedo Spain Instituto Tecnológico de Castilla y León Pol. Ind. Villalonquejar Burgos09001 Spain Control and Automatica Department EPI University of Oviedo Gijón Spain

ISBN: (纸本)9783030493417

Fall is one of the main causes of the reduction of the Quality of Live in Elderly, since it has a high impact in mortality rate as well as in the probability of different disabilities like Fractures, head injuries, etc, and mainly a loss of confidence. thus, a monitoring instrument to follow elderly activity is required and the most common non-invasive and easy-to-use are based on wearable devices. this work presents our first prototype of an autonomous, low-cost and easy-to-use elderly activity monitoring kit suitable to be deployed in nursery houses. the prototype is composed of: i) our own data analytics web application deployed in a low cost server located in our laboratory (SERVER) and ii) a transparent plastic case with a set of 10 commercial smartbands (WD), their respective charging docks, one NUC (Next Unit of Computing) as data gateway, one Wi-Fi router and one LTE router. Concerning the case, we can state that each WD has built-in a 3DACC (3DA), a Gyroscope (GY) and a wrist Heart Rate sensor (HR). Besides each WD is running our own software instead the pre-built commercial one in order to achieve two issues: recording high frequency data (1 Hz for HR and 10 Hz for 3DA and GY) and optimize the battery life (18 h with 10 Hz continuous sensors recording). Finally, a first trial of the presented kit is being carried out in a Nursery House in Burgos (Spain), and the participants enrolled criteria have been designed by a gerontologist from the Diputación de Burgos (Spain). © the Editor(s) (if applicable) and the Author(s), under exclusive license to Springer Nature Switzerland AG 2021.

关键词： Fall detection

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Multi-Layer Security Framework for IoT Devices

Multi-Layer Security Framework for IoT Devices

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Roedunet international conference (RoEduNet)

作者： Alexandru Vochescu Ioana Culic Alexandru Radovici Faculty of Automatic Control and Computer Science “Politehnica” University of Bucharest Bucharest Romania “Politehnica” University of Bucharest Bucharest Romania

ISBN: (数字)9780738112657

ISBN: (纸本)9781665418850

One of the most engaging domains in the IT technology is represented by the Internet of things (loT) area. IoT solution are more and more present in our lives: from the daily-use devices such as smart watches or rings, to more peculiar applications such as smart tables or smart home fragrances. As a result of this development, IoT technologies can become intrusive as they have access to a lot of our personal data and are able to control an increasing number of aspects of our lives. As a result, IoT is currently viewed by many individuals and companies from a security issue perspective. Many of the security threats related to the IoT technologies come from the way software and applications are implemented or from the programming frameworks used. What is more, as the applications become increasingly complex and the hardware devices increasingly constrained, many security mechanisms cannot be applied. the purpose of this paper is to present a multi-layer secure framework dedicated to hardware-constrained devices.

关键词： Security Hardware Internet of things Kernel Pins Registers Real-time systems

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Robust dimensioning and routing for dynamic WDM networks

Robust dimensioning and routing for dynamic WDM networks

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international conference on Wireless and Optical Communications ( WOCC)

作者： Steven S. Lumetta Xiaolan J. Zhang Sun-il Kim Electrical and Computer Engineering Coordinated Science Laboratory University of Illinois Urbana-Champaign USA Electrical and Computer Systems Engineering University of Alaska Anchorage USA

ISBN: (纸本)9781424475971

Advances in device technology and dense wavelength division multiplexing have enabled modern optical backbones to provide high data rate services in a cost-effective manner. At the same time, applications are emerging with the potential to leverage these capabilities for short time spans: load migration for Internet clouds, integrated computational grids, and remote surgery. Until such applications mature, investment in real networks to support them is unattractive, but without such investment, the applications mature slowly. Current networks thus remain dominated by lightpaths provisioned by hand, over the space of days or weeks. three problems must be solved to enable a rapid transition to dynamic optical networks that integrate well with demands at the Internet Protocol (IP) level: traffic characterization, resource dimensioning, and resource allocation. Traffic characterization provides models of traffic demand variation and evolution, which can only be predicted at this stage. In this paper, we provide an overview of our past and current work on the resource dimensioning and allocation subproblems. We describe our methodology for dimensioning networks based on expected traffic behavior. We next offer a few observations about dealing with statistical variations in network behavior. We develop analytic models of opportunity cost and a congestion-aware routing algorithm based on the models. A near-optimal threshold value for this algorithm can be chosen based on analysis, and simulations demonstrate that this choice is robust to variations in both topology and capacity.

关键词： Robustness Routing WDM networks Telecommunication traffic Traffic control Investments Resource management Algorithm design and analysis Wavelength division multiplexing Biomedical optical imaging

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ECADA: An Edge Computing Assisted Delay-Aware Anomaly Detection Scheme for ICS

ECADA: An Edge Computing Assisted Delay-Aware Anomaly Detect...

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international conference on Mobile Ad-hoc and Sensor Networks, MSN

作者： Chao Sang Jianhua Li Jun Wu Wu Yang School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University China Graduate School of Information Production and Systems Waseda University Japan College of Computer Science and Technology Harbin Engineering University China

ISBN: (数字)9798350358261

ISBN: (纸本)9798350358278

Today, with more and more devices in the industrial control system (ICS), the risk becomes higher and brings more attack surfaces. the need for reliable anomaly detection systems is increasing. Traditional SCADA-based detection systems deployed are difficult to assess large-scale control systems accurately, and novel AI-based technologies struggle to ensure timely response. In this paper, we propose an edge computing assisted delay-aware anomaly detection (ECADA) scheme for ICS, which considers both the accuracy and timeliness, and ensures that abnormal conditions can be accurately detected and handled in a short time. First, we model the components in ICS as three layers, taking network resources, delay, and reliability into consideration. Second, we convert the anomaly detection procedure into a decision making problem. By dividing the warning capabilities into various levels, the flexibility of the anomaly detection system is enhanced. third, we cast a mixed-integer linear programming (MILP) problem to find the efficient anomaly detection mechanism, so that it can be dynamically scheduled to achieve the tradeoff between reliability and timeliness. We use an real-world industrial system dataset for experimental evaluation. By comparing with various traditional anomaly detection methods, it is proved that ECADA can always ensure reliable response of anomaly detection system in various network environments.

关键词： Computational modeling Industrial control Reliability engineering Sensors Mixed integer linear programming Task analysis Low latency communication

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the Specificity of Authorial Style Determined by the Cramer-von-Mises Test

The Specificity of Authorial Style Determined by the Cramer-...

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international computer sciences and Information Technologies (CSIT)

作者： Iryna Khomytska Iryna Bazylevych Vasyl Teslyuk Olena Durytska Applied Linguistics Lviv Polytechnic National University Lviv Ukraine Mathematical Statistics and Differential Equations Ivan Franko National University of Lviv Lviv Ukraine Automated Control Systems Lviv Polytechnic National University Lviv Ukraine

ISBN: (数字)9798331542634

ISBN: (纸本)9798331542641

In this research, we have made an attempt to evaluate the strength of the Cramer-von-Mises test of uniformity on the material of modern American fiction. the novelty of this study is application of the test for revealing the distribution of parts of speech. the established distribution of parts of speech is an indicator of the authorial style specificity. the level of significance was set at 0.05. the experiment proved that the test was powerful. the data from the sample of the literary work “Harry Potter and the Philisopher's Stone” by J. K. Rowling did not follow a uniform distribution. It was an important result as different parts of the same literary work had different semantic content, different level of expressiveness and emotionality. Profound study of a literary work involves a thorough analysis of the parts of text that differ from each other. the level of test validity is 95%. We used Python for calculations. the practical application of the research is the authorial style identification.

关键词： computer science Vocabulary Statistical analysis Semantics Linguistics Information technology Standards

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Blockchain-Enabled Collaborative Intrusion Detection in Software Defined Networks

Blockchain-Enabled Collaborative Intrusion Detection in Soft...

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IEEE international conference on Trust, Security and Privacy in Computing and Communications (TrustCom)

作者： Wenjun Fan Younghee Park Shubham Kumar Priyatham Ganta Xiaobo Zhou Sang-Yoon Chang Computer Science Department College of Engineering and Applied Science University of Colorado Colorado Springs Colorado Springs CO United States Computer Engineering Department San Jose State University San Jose CA United States

ISBN: (数字)9781665403924

ISBN: (纸本)9781665403931

Collaborative intrusion detection system (CIDS) shares the critical detection-control information across the nodes for improved and coordinated defense. Software-defined network (SDN) introduces the controllers for the networking control, including for the networks spanning across multiple autonomous systems, and therefore provides a prime platform for CIDS application. Although previous research studies have focused on CIDS in SDN, the real-time secure exchange of the detection-relevant information (e.g., the detection signature) remains a critical challenge. In particular, the CIDS research still lacks robust trust management of the SDN controllers and the integrity protection of the collaborative defense information to resist against the insider attacks transmitting untruthful and malicious detection signatures to other participating controllers. In this paper, we propose a blockchain-enabled collaborative intrusion detection in SDN, taking advantage of the blockchain's security properties. Our scheme achieves three important security goals: to establish the trust of the participating controllers by using the permissioned blockchain to register the controller and manage digital certificates, to protect the integrity of the detection signatures against malicious detection signature injection, and to attest the delivery/update of the detection signature to other controllers. Our experiments in CloudLab based on a prototype built on Ethereum, Smart Contract, and IPFS demonstrates that our approach efficiently shares and distributes detection signatures in real-time through the trustworthy distributed platform.

关键词： Smart contracts Collaboration Intrusion detection Real-time systems Security Software defined networking Trust management

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Pseudonymisation in the context of GDPR-compliant medical research

Pseudonymisation in the context of GDPR-compliant medical re...

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international Workshop on Design of Reliable Communication Networks (DRCN)

作者： Ioannis Basdekis Christos Kloukinas Carlos Agostinho Ioannis Vezakis Andreia Pimenta Luigi Gallo Georgios Spanoudakis SPHYNX Technology Solutions AG Zug Switzerland Dept. of Computer Science City University of London London United Kingdom Center of Technology and Systems UNINOVA Portugal SPHYNX Analytics Ltd Nicosia Cyprus Secretaria Regional de Saúde e Proteção Civil SRS Madeira Portugal Institute for High Performance Computing and Networking National Research Council Italy

Pseudonymisation is a data protection technique often used to protect the privacy of individuals when their personal data are being used for research purposes. Not only is it a key ingredient of the General Data Protection Regulation (GDPR) that requires organisations to ensure that the personal data they process is handled in a secure manner, but it is particularly important in assisting medical research given that often relies on sensitive personal data, since it reduces the risk that medical data could be misused or mishandled. For managing their medical data, it is important to ensure that such data are protected against unauthorised access, and can be reutilised in an anonymous fashion, while still authorised personnel is able to identify the study participant that some data belong to (e.g., for personalised interventions, technical alerts, technical support). In addition, the re-identification of a study participant is a pre-requisite for exercising their rights under the GDPR, since it assists organisations in meeting GDPR requirements (such as the right to access, rectify and portability of data). We argue that the application of pseudonymisation is particularly effective when considered during the early stages (Privacy by Design) of digital services implementation, as well as when defining the complementary to these organizational procedures. Aim of this paper is to present the way in which the pseudonymisation mechanism of the SMART BEAR H2020 project supports the triptych of research activities conducted within the context of an observational medical study, legal obligations arising from the regulatory framework for the protection of personal data, and reutilisation of data for research purposes. Evidence-based security and privacy assessments will be conducted on two different H2020 projects to evaluate such privacy practice.

关键词： Privacy Law Process control Medical services systems engineering and theory Reliability engineering Security

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Selection from read-only memory with limited workspace

Selection from read-only memory with limited workspace

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19th international Computing and Combinatorics conference, COCOON 2013

作者： Elmasry, Amr Juhl, Daniel Dahl Katajainen, Jyrki Satti, Srinivasa Rao Department of Computer Engineering and Systems Alexandria University Alexandria 21544 Egypt Department of Computer Science University of Copenhagen Universitetsparken 5 2100 Copenhagen East Denmark School of Computer Science and Engineering Seoul National University 599 Gwanakro Gwanak-Gu Seoul 151-744 Korea Republic of

ISBN: (纸本)9783642387678

In the classic selection problem the task is to find the kth smallest of N elements. We study the complexity of this problem on a space-bounded random-access machine: the input is given in a read-only array and the capacity of workspace is limited. We prove that the linear-time prune-and-search algorithm-presented in most textbooks on algorithms-can be adjusted to use O(N) bits instead of Θ(N) words of extra space. Prior to our work, the best known algorithm by Frederickson could perform the task with O(N) bits of extra space in O(N log N) time. In particular, our result separates the space-restricted random-access model and the multi-pass streaming model (since we can bypass the Ω(N log N) lower bound known for the latter model). We also generalize our algorithm for the case when the size of the workspace is O(S) bits,. the running time of our generalized algorithm is, slightly improving over the bound of Frederickson's algorithm. Of independent interest, the wavelet stack-a structure we used for repeated pruning-may also be useful in other applications. © 2013 Springer-Verlag Berlin Heidelberg.

关键词： computers

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