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International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS)

作者： Kyungroul Lee Ilsun You Kangbin Yim R&BD Center for Security and Safety Industries Soonchunhyang University Asan Korea School of Computer Science Korean Bible University Seoul Korea Dept. of Information Security Engineering Soonchunhyang University Asan Korea

By a spread of utilizing environment of the CNG library, it is required to analyze its vulnerability. For this reason, in this paper, we analyzed potential security vulnerability of CNG. To prove the found vulnerability, we implemented a proof of-concept tool based on the details of the vulnerability and proposed a countermeasure. This study is expected to improve security criteria for various applications to fully take advantage of the CNG library.

关键词： Cryptography Electronic mail Libraries Software Servers Internet

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Suppressing output overshoot voltage technique with 47.1mW/μs power-recycling rate and 93% peak efficiency DC-DC converter for multi-core processors

Suppressing output overshoot voltage technique with 47.1mW/...

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European Conference on Solid-State Circuits (ESSCIRC)

作者： Meng-Wei Chien Wen-Hau Yang Ying-Wei Chou Hsin-Chieh Chen Wei-Chung Chen Ke-Horng Chen Chin-Long Wey Shin-Chi Lai Ying-Hsi Lin Chao-Cheng Lee Jian-Ru Lin Tsung-Yen Tsai Hsin-Yu Luo National Chiao Tung University Hsinchu Taiwan Dept. of Computer Science and Information Engineering Nan Hua University Hsinchu Taiwan Realtek Semiconductor Corp. Hsinchu Taiwan Metal Industries Research and Development Centre

ISBN: (纸本)9781467374736

Conversion efficiency degrades in case of heavy-to-light loading change since state-of-art overshoot reduction techniques simply dissipate redundant energy at the output of buck DC-DC converter. Thus, the proposed dual-mode ripple-recovered compensator (D-RRC) and multi-phase suppressing output overshoot voltage (MP-SOOV) technique uses 33nH bondwire inductance to recycle energy and provides 47.1mW/μs ultra-fast power-recycling rate to suppress overshoot voltage from 507mV to 95mV with 81.3% improvement when load changes from 1.7A to 0.3A. Experimental results show 93% high efficiency and highspeed operation with only tens of nano second on-time period.

关键词： Recycling Inductance Transient analysis Multicore processing Transient response Capacitors Voltage control

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Novel unsupervised features for Czech multi-label document classification

Lecture Notes in Computer Science (including subseries Lectu...

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Lecture Notes in computer science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2014年 8856卷 70-79页

作者： Brychcín, Tomáš Král, Pavel Dept. of Computer Science and Engineering University of West Bohemia Plzeň Czech Republic NTIS - New Technologies for the Information Society University of West Bohemia Plzeň Czech Republic

This paper deals with automatic multi-label document classification in the context of a real application for the Czech News Agency. The main goal of this work consists in proposing novel fully unsupervised features based on an unsupervised stemmer, Latent Dirichlet Allocation and semantic spaces (HAL and COALS). The proposed features are integrated into the document classification task. Another interesting contribution is that these two semantic spaces have never been used in the context of document classification before. The proposed approaches are evaluated on a Czech newspaper corpus. We experimentally show that almost all proposed features significantly improve the document classification score. The corpus is freely available for research purposes. © Springer International Publishing Switzerland 2014.

关键词： Semantics

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Towards semantic social networks

Towards semantic social networks

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Conferencia Latinoamericana En Informatica (CLEI)

作者： Ronald Chenu-Abente Fausto Giunchiglia Luca Cernuzzi Dept. of Information Engineering and Computer Science University of Trento Trento Italy Departamento Electrónica e Informática Universidad Católica “Nuestra Señora de la Asunción” Asunción Paraguay

computer-enabled social services like tagging or sharing are ubiquitous in current web applications that are aimed to a group of users. These services do not only add value and new functionalities to their applications but also create a network of users and services that interconnect them to a wider on-line ecosystem. Currently these social networks mainly use the vast amount of user-created content, and activity logs to apply to provide recommendations and more complex services. This paper presents the Social Core a social network engine that implements semantic-based functionalities like semantic annotations, semantic search semantic-enhanced access control and user privacy protection. The Social Core was integrated as part of the SmartCampus mobile platform, which was tested by around one hundred students, and it is currently being further developed as part of European FP7 project SmartSociety.

关键词： Semantics Social network services Electronic mail Knowledge based systems Access control Silicon compounds computer science

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A Learning Intelligent System for Fault Detection in Smart Grid by a One-Class Classification Approach

A Learning Intelligent System for Fault Detection in Smart G...

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International Joint Conference on Neural Networks

作者： Enrico De Santis Antonello Rizzi Alireza Sadeghian F. M. Frattale Mascioli the Department of Information Engineering Electronics and Telecommunications "Sapienza" University of Rome Via Eudossiana 18 00184 Rome the Dept. of Computer Science Ryerson University Toronto ON M5B 2K3 Canada

ISBN: (纸本)9781479919611

The analysis and recognition of fault status in the Smart Grid field is a challenging problem. Computational Intelligence techniques have already been shown to be a successful framework to face complex problems related to a Smart Grid. The availability of huge amounts of data coming from smart sensors allows the system to take a fine grained picture of the power grid status. This data can be processed in order to offer an instrument in aiding humans operators to better understand the power grid status and to take decisions on grid operations. This paper addresses the problem of fault recognitions in a real-world power grid (i. e. the power grid that feds the city of Rome, Italy) with the One-Class Classification paradigm by a combined approach of dissimilarity measure learning by means of an evolution strategy and clustering techniques for modeling the decision regions between fault status and the standard functioning of the power system. In this paper we present an in-dept. study of the performance of two clustering algorithms in building up the model of faults, as the core procedure of the proposed recognition system.

关键词： Learning Intelligent System Fault Detection Smart Grid Smart grids Defect detection Power grids Intelligent systems evolution strategy recognition system faults power systems Clustering algorithms

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On the Augmentation of Luenberger Observer-Based State Feedback Design for Better Robustness and Disturbance Rejection

On the Augmentation of Luenberger Observer-Based State Feedb...

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American Control Conference

作者： Wenchao Xue Zhiqiang Gao Key Laboratory of Systems and Control Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing 100190 P. R. China Dept. of Electrical and Computer Engineering Cleveland State University Cleveland Ohio 44115 USA

ISBN: (纸本)9781479917730

This paper addresses the fundamental problem of improving the Luenberger Observer (LO)-based feedback control so that it can deal with effectively a wide range of uncertainties, both internal and external. It is shown that the effect of such uncertainties can be estimated and cancelled in real time, all based on the yet untapped source of information: the estimation error in the existing LO. The result is quite significant in that, by augmenting the LO without changing its original structure or parameters, the LO-based design can be improved in terms of robustness and disturbance rejection. In other words, there is hidden information of uncertainties in the LO tracking error and it can be extracted, often with a mere integrator, to great benefits, as shown in both mathematical analysis and simulation studies.

关键词： Disturbance rejection Observers Uncertainty original structure State feedback mathematical analysis information source Robustness feedback control

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Secure image retrieval using pyramid histogram of oriented gradient descriptor

Secure image retrieval using pyramid histogram of oriented g...

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2013 International Conference on Advanced Computing and Communication Systems, ICACCS 2013

作者： Madlin Asha, M. Jennifer Ranjani, J. Dept. of Information Technology Vivekanandha College of Engineering for Women Tiruchengode637205 India Dept. of Computer Science and Engineering Vivekanandha College of Engineering for Women Tiruchengode637205 India

ISBN: (纸本)9781479935062

Secure Content Based Image Retrieval (CBIR) deals with retrieving similar images from an image database without revealing the contents of the query image. In the traditional CBIR, it is not practically possible to store large volumes of image database locally. Hence, image database has to be stored in a remote server. In this paper, the images are encrypted using double key RSA algorithm and are stored in the remote servers. The pyramid histogram of oriented gradients (PHoG) descriptor is used as feature for representing the images. The PHoG descriptor is computed on the original image and are encrypted and then stored in the remote server. The double key RSA ensures security and the attacker cannot effortlessly decrypt the images stored in the public server. © 2013 IEEE.

关键词： Graphic methods

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Optimal learners for multiclass problems 27

Optimal learners for multiclass problems

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27th Conference on Learning Theory, COLT 2014

作者： Daniely, Amit Shalev-Shwartz, Shai Dept. of Mathematics Hebrew University Jerusalem Israel School of Computer Science and Engineering Hebrew University Jerusalem Israel

The fundamental theorem of statistical learning states that for binary classification problems, any Empirical Risk Minimization (ERM) learning rule has close to optimal sample complexity. In this paper we seek for a generic optimal learner for multiclass prediction. We start by proving a surprising result: a generic optimal multiclass learner must be improper, namely, it must have the ability to output hypotheses which do not belong to the hypothesis class, even though it knows that all the labels are generated by some hypothesis from the class. In particular, no ERM learner is optimal. This brings back the fundamental question of "how to learn"? We give a complete answer to this question by giving a new analysis of the one-inclusion multiclass learner of Rubinstein et al. (2006) showing that its sample complexity is essentially optimal. Then, we turn to study the popular hypothesis class of generalized linear classifiers. We derive optimal learners that, unlike the one-inclusion algorithm, are computationally efficient. Furthermore, we show that the sample complexity of these learners is better than the sample complexity of the ERM rule, thus settling in negative an open question due to Collins (2005). © 2014 A. Daniely & S. Shalev-Shwartz.

关键词： Artificial intelligence

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Self congestion prediction algorithm for efficient routing in Mobile Ad-Hoc Network

Self congestion prediction algorithm for efficient routing i...

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2014 International Conference on Control, Instrumentation, Communication and Computational Technologies, ICCICCT 2014

作者： Kamatam, Govardhan Reddy Srinivas, Podili V. S Sekharaiah, K Chandra Dept. of Computer Science and Engg. SKTRM College of Engineering Mahaboobnagar India Dept. of Computer Science and Engg. TKR College of Engg. and Technology Hyderabad India Dept. of Computer Science and Engg. School of Information Technology Hyderabad India

ISBN: (纸本)9781479941902

Congestion control in Mobile Ad-Hoc Network (MANET) is relatively different from that of traditional networks. The standard TCP congestion control approach is not adapted properly in the dynamic properties of MANET, which creates lot of challenges in routing, due to resources and bandwidth limits. In this paper, we proposed a self congestion prediction (SCP) algorithm for congestion prediction and modified AODV with SCP to propose a novel A-SCP protocol for alleviating congestion and efficient routing. The objective of the algorithm is to minimize network overhead and improvise the throughput without deteriorating the network. To evaluate the proposal we simulate in different random mobility and scalable network environment which shows an improvisation in packet delivery and decline in control overhead and end-to-end delay. © 2014 IEEE.

关键词： Mobile ad hoc networks

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PAPR reduction in an OFDM system using recursive clipping and filtering technique

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WSEAS Transactions on Communications 2014年第1期13卷 291-297页

作者： Islam, Anamul Ahmed, N. Ahamed, Nizam Uddin Rahman, Matiur Aljunid, S.A. Dept. of Applied Physics and Electronic Engineering University of Rajshahi Bangladesh School of Computer and Communication Engineering University Malaysia Perlis Malaysia Biomedical Engineering Program Mechatronic Engineering University Malaysia Perlis Malaysia College of Computer Science and Information System Najran University Saudi Arabia

An Orthogonal Frequency Division Multiplexing (OFDM) scheme is expected as an efficient technique for next generation wireless communications. However, high Peak to Average Power Ration (PAPR) of OFDM system is the main drawback which degrades the transmitter power efficiency causes poor performance of the system. To reduce PAPR of OFDM signal, several works on clipping technique have been proposed. This paper is incorporated the improvement of the PAPR and Bit Error Rate (BER) performance using clipping method. It has been shown from the result that by employing the recursive clipping and filtering, 11.45 dB of PAPR of original OFDM signal is reduced down to 4.77 dB. Hence, BER is also increased significantly. This research is carried out through MATLAB simulation and gradually measured the effect of PAPR on BER under AWGN channel for 16QAM scheme with 256 points OFDM. Moreover, it is studied the effect of OFDM signal while passing through High Power Amplifier (HPA). Finally, the PAPR reduction technique such as recursive clipping and filtering (RCF) is implemented.

关键词： Orthogonal frequency division multiplexing

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