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检索条件"机构=Dept. of Control and Computer Engineering"

共 1084 条记录，以下是461-470 订阅

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ReDyAl: A dynamic recommendation algorithm based on Linked Data 3

ReDyAl: A dynamic recommendation algorithm based on Linked D...

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3rd Workshop on New Trends in Content-Based Recommender Systems, CBRecSys 2016

作者： Vagliano, Iacopo Figueroa, Cristhian Rocha, Oscar Rodríguez Torchiano, Marco Faron-Zucker, Catherine Morisio, Maurizio Dept. Control and Computer Engineering Politecnico di Torino Turin Italy Universidad del Cauca Popayán Colombia INRIA Sophia Antipolis Méditerranée Sophia Antipolis France Univ. Nice Sophia Antipolis CNRS I3S UMR 7271 Sophia Antipolis France

The Web of Data is an interconnected global dataspace in which discovering resources related to a given resource and recommend relevant ones is still an open research area. This work describes a new recommendation algorithm based on structured data published on the Web (Linked Data). The algorithm exploits existing relationships between resources by dynamically analyzing both the categories to which they belong to and their explicit references to other resources. A user study conducted to evaluate the algorithm showed that our algorithm provides more novel recommendations than other state-of-the-art algorithms and keeps a satisfying prediction accuracy. The algorithm has been applied in a mobile application to recommend movies by relying on DBpedia (the Linked Data version of Wikipedia), although it could be applied to other datasets on the Web of Data.

关键词： Linked data

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An Ontology-based contextual pre-filtering technique for Recommender Systems

An Ontology-based contextual pre-filtering technique for Rec...

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Federated Conference on computer Science and Information Systems (FedCSIS)

作者： Aleksandra Karpus Iacopo Vagliano Krzysztof Goczyła Maurizio Morisio Faculty of Electronics Telecommunication and Informatics Gdansk University of Technology Gdańsk-Wrzeszcz Poland Dept. Control and Computer Engineering Politecnico di Torino Turin Italy

Context-aware Recommender Systems aim to provide users with the most adequate recommendations for their current situation. However, an exact context obtained from a user could be too specific and may not have enough data for accurate rating prediction. This is known as the data sparsity problem. Moreover, often user preference representation depends on the domain or the specific recommendation approach used. Therefore, a big effort is required to change the method used. In this paper we present a new approach for contextual pre-filtering (i.e. using the current context to select a relevant subset of data). Our approach can be used with existing recommendation algorithms. It is based on two ontologies: Recommender System Context ontology, which represents the context, and Contextual Ontological User Profile ontology, which represents user preferences. We evaluated our approach through an offline study which showed that when used with well-known recommendation algorithms it can significantly improve the accuracy of prediction.

关键词： Context Ontologies Context modeling Vocabulary Recommender systems Motion pictures Prediction algorithms

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Super Resolving of the dept. Map for 3D Reconstruction of Underwater Terrain Using Kinect

Super Resolving of the Depth Map for 3D Reconstruction of Un...

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International Conference on Parallel and Distributed Systems (ICPADS)

作者： Yu Nakagawa Keita Kihara Ryunosuke Tadoh Seiichi Serikawa Huimin Lu Yudong Zhang Yujie Li Dept. of Electrical and Electronic Engineering Kyushu Institute of Technology Kitakyushu Japan Dept. of Mechanical and Control Engineering Kyushu Institute of Technology Kitakyushu Japan School of Computer Science and Technology Nanjing Normal University Nanjing China School of Information Engineering Yangzhou University Yangzhou China

ISBN: (纸本)9781509053827

In recent years, sonar has been widely used for restoring the underwater terrain. Sonar imaging has the benefits such as long-range photographing, robust for turbidity water. However, it is not suitable for short-range imaging. Meanwhile, it also cannot meet the need of mining machine. Therefore, it is important to develop a 3D reconstruction method for short-range imaging. In this paper, we propose a Kinect-based underwater 3D image reconstruction method. To overcome the drawbacks of low accuracy of dept. maps, we propose a novel super-resolution (SR) method, which uses the underwater dark channel prior dehazing, weight guided image SR, and inpainting. The proposed method considered the influence of mud sediments in water, it performs better than the traditional methods. The experimental results demonstrated that, after inpainting, dehazing and the super-resolution, it can obtain high accuracy dept. maps.

关键词： Image resolution Sonar measurements Measurement by laser beam Cameras Optical imaging

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Modeling method of execution timing of operation to analyze the reaction time from judgment to execution of operation

Modeling method of execution timing of operation to analyze ...

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Annual Conference of Industrial Electronics Society

作者： Kohjiro Hashimoto Shinji Doki Kae Doki Dept. of Control and Information Systems Engineering National Institute of Technology Kumamoto College 2659–2 Suya Koshi Kumamoto Dept. of Electrical Engineering and Computer Science Nagoya University C3-1(631) Furo-cho Chikusa-ku Nagoya Aichi Dept. of Electrical Engineering Aichi Institute of Technology Toyota Aichi

In this study, we aim to evaluate a driver skill based on the driver behavior model generated by the operation and environment data under driving vehicle. When skill of driver is reduced, the operator behavior is delayed, it takes along time of operation, and execution timing of operation is no reproducibility. These mean that reducing skill of driver affects time information of the driver operation. Therefore, we study on the model structure incorporated time information expresses the execution timing of driver's operation to evaluate driver's skill. In particular, we propose a new model structure incorporated timing probabilistic distribution expresses the time until the execution of next operation. Moreover, we propose a modeling method of operator behavior according to proposed model structure. It is considered that the reaction time from the decision to execution of operation and ambiguity of the decision can be read from the timing probabilistic distribution. In this paper, the above usefulness is examined through some experimental results. Moreover, the applicability of the driving skill evaluation based on the proposed operation model is examined.

关键词： Computational modeling Hidden Markov models Time series analysis

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Interfacing brain and computer in neurorehabilitation

Interfacing brain and computer in neurorehabilitation

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International Winter Workshop on Brain-computer Interface (BCI)

作者： Donatella Mattia Laura Astolfi Jlenia Toppi Manuela Petti Floriana Pichiorri Febo Cincotti Neuroelectrical Imaging and BCI Laboratory Fondazione Santa Lucia IRCCS Rome Italy Dept. of Computer Control and Management Engineering Antonio Ruberti Sapienza University of Rome Italy

ISBN: (纸本)9781467378437

Brain-computer Interface (BCI) technology exploiting electroencephalographic (EEG) sensorimotor oscillations is a potential tool to promote neuronal plasticity after stroke and ultimately to improve motor rehabilitation outcomes in post-stroke sub-acute and chronic stage. Nevertheless, the cost/effectiveness of BCI-based rehabilitative interventions remains to be addressed when considering the heterogeneity in the post-stroke functional motor impairment (clinical status) and the central nervous system reorganization (neuroplasticity). In this paper, we will provide preliminary findings on how multimodal neurophysiological methods to asses potential recovery after stroke can be use to foster an effective applicability of BCI technology in neuro-rehabilitation care.

关键词： Training Electroencephalography Brain-computer interfaces computers Electrodes Electric potential Central nervous system

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Considerations regarding security issues impact on systems availability

Considerations regarding security issues impact on systems a...

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International Conference on Electronics, computers and Artificial Intelligence (ECAI)

作者： Emil Pricop Sanda Florentina Mihalache Nicolae Paraschiv Jaouhar Fattahi Florin Zamfir Automatic Control Computers & Electronics Department Petroleum-Gas University of Ploiesti Ploiesti Romania Dept. of Computer Science & Software Engineering Université Laval Québec Canada

control systems behavior can be analyzed taking into account a large number of parameters: performances, reliability, availability, security. Each control system presents various security vulnerabilities that affect in lower or higher measure its functioning. In this paper the authors present a method to assess the impact of security issues on the systems availability. A fuzzy model for estimating the availability of the system based on the security level and achieved availability coefficient (depending on MTBF and MTR) is developed and described. The results of the fuzzy inference system (FIS) are presented in the last section of the paper.

关键词： Security Reliability control systems Wireless sensor networks Fuzzy logic Safety Network topology

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Stock price manipulation detection using a computational neural network model

Stock price manipulation detection using a computational neu...

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International Workshop on Advanced Computational Intelligence (IWACI)

作者： Teema Leangarun Poj Tangamchit Suttipong Thajchayapong Dept. of Control System and Instrumentation Engineering King Mongkut's Univ. of Tech. Bangkok Thailand National Electronics and Computer Technology Center NSTDA Bangkok Thailand

We investigated the characteristics of stock price manipulation. Two manipulation models were studied: pump-and-dump and spoof trading. Pump-and-dump is a procedure to buy a stock and push its price up. Then, the manipulator dumps all of the stock he holds to make a profit. Spoof trading is a procedure to trick other investors that a stock should be bought or sold at the manipulated price. We constructed mathematical models that use level 2 data for both procedures, and used them to generate a training set consisting of buy/sell orders within on order book of 10 dept.s. Order cancellations, which are important indicators for price manipulation, are also visible in our level 2 data. In this paper, we consider a challenging scenario where we attempt to use less-detailed level 1 data to detect manipulations even though using level 2 data is more accurate. We implemented feedforward neural network models that have level 1 data, containing less-detailed information (no information about order cancellation), but is more accessible to investors as input. The neural network model achieved 88.28% for detecting pump-and-dump but it failed to model spoof trading effectively.

关键词： Manipulators Data models Hidden Markov models Neural networks Stock markets Predictive models Adaptation models

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KNX protocol compliant load shifting and storage control in residential buildings 51

KNX protocol compliant load shifting and storage control in ...

引用

51st Annual Meeting on IEEE Industry Application Society, IAS 2015

作者： Martirano, Luigi Marrocco, Roberto Liberati, Francesco Di Giorgio, Alessandro Dept. of Electrical Engineering University of Rome Italy Department of Computer Control and Management Engineering University of Rome Italy

ISBN: (纸本)9781479983933

This paper presents an easily implementable load control strategy aimed at managing shiftable loads in residential buildings, possibly equipped also with centralized storage and generation facilities. The algorithm is compliant with the KNX standard for communication of smart home devices, and ensures the controlled reduction of power peak profiles. Simulation results are discussed in details, comparing the achieved performances with the ones attainable by more complicated benchmark algorithms present in literature, and also giving a first assessment of the return on the investments needed to implement the proposed load control architecture. © 2015 IEEE.

关键词： Intelligent buildings

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Feasibility Analysis of Sustainable Methods Through Manufacturing Algebra and Monte-Carlo Simulations

Feasibility Analysis of Sustainable Methods Through Manufact...

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Mediterranean Conference on control and Automation

作者： Carlos Perez-Montenegro Carlo Novara Enrico Canuto Diomar Calderon Adolfo Vargas Dept. of Control and Computer Engineering Politecnico di Torino Integrated Arts Faculty Universidad de San Buenaventura research group Paloseco Universitaria de Investigacion y Desarrollo UDI

ISBN: (纸本)9781467383479

From some years ago, development of sustainable methods for industrial applications are a trending topic, these present the steps to guarantee the current requirements without compromising future resources. New demands for law policies and social responsibility are constantly generated. This paper presents a low cost strategy to evaluate the feasibility of sustainable methods using an extension of manufacturing algebra that includes energy consumption, waste management, and food distribution, The steps to develop a discrete model based in manufacturing operations is developed, the model is obtained in order to implement a simulator which takes into account the parametric uncertainty. A case of study is presented in a high hierarchical level is presented.

关键词： Monte Carlo technique Food distribution Algebra Social Responsibility Industrial applications simulator Classification(centrifugal)

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D3M: DISTRIBUTED MULTI-CELL MULTIGROUP MULTICASTING

D3M: DISTRIBUTED MULTI-CELL MULTIGROUP MULTICASTING

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IEEE International Conference on Acoustics, Speech and Signal Processing

作者： P. Song G. Scutari F. Facchinei L. Lampariello the School of Information and Communication Engineering Beijing Information Science and Technology University Beijing China the School of Industrial Engineering Purdue University West-Lafayette IN USA the Dept. of Computer Control and Management Engineering University of Rome "La Sapienza" Rome Italy

ISBN: (纸本)9781479999897

The paper studies the max-min fair multicast multigroup beamforming problem in a multi-cell environment, with perfect (instantaneous or statistical) Channel State Information (CSI). We propose a new general distributed algorithmic framework based on INner Convex Approximations (INCA): the nonsmooth NP-hard problem is replaced by a sequence of smooth strongly convex subproblems, which can be solved in a distributed fashion across the cells, with limited communication overhead. Differently from renowned semidefinite-relaxation-based schemes, the INCA algorithm is proved to always converge to a d-stationary solution of the aforementioned class of problems. Numerical results show that it compares favorably with state-of-the-art algorithms.

关键词： Distributed optimization inner convex approximation multicell multigroup multicasting

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