The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Primary aim of this work is to develop methodology for extracting useful information from the phonocardiographic signal for a computerized cardiac auscultation system and the intelligent stethoscope. The paper presents a technique based on a Non-Local Means method (NLM). When synthetic data is combined with the heart sound signal, it is found that NLM can separate the heart sound without degrading...
We are striving to develop a new communication technology based on individual experiences that can be extracted from life logs. We have proposed the “Emotion Communication Model” and confirmed that significant correlation exists between experience and emotion. As the second step, particularly addressing impressive places and events, this paper describes an investigation of the extent to which we can...
In digital communications, the non-linear phase characteristic of a digital communication channel must be equalized by using a phase-network in such a way that the whole communication channel has nearly linear-phase and does not distort the waveform of the transmitted signal. This paper proposes an improved iterative second-order-cone-programming (iSOCP) technique for designing an all-pass (AP) phase-network...
Many modern computer vision systems combine high dimensional features and linear classifiers to achieve better classification accuracy. However, the excessively long features are often highly redundant; thus dramatically increases the system storage and computational load. This paper presents a novel feature selection algorithm, namely cardinal sparse partial least square algorithm, to address this...
This paper presents a significant evolutionary based algorithm for solving conventional Optimal Reactive Power Dispatch (ORPD) problem in power system. This problem was designed as a Multi-Objective case with loss minimization and voltage stability as objectives and Generator terminal voltages, tap setting of transformers and reactive power generation of capacitor banks were taken as optimization...
Cooperative communication is a new fashion to alleviate the low channel utilization and signal fading problems in today's wireless network. The success of cooperative communication heavily depends on the efficient assignment of relay resource. Auction theory has been applied successfully to allocate limited resources in wireless network for decades. However, most of the existing auction mechanisms...
In recent years, cross-site scripting attacking usually occurred on the social networks. The attackers hide the malicious script codes in web links, and easily get personal sensitive information if someone clicks these links. This article firstly analyzes the characteristics of the social network topology and the relationships of network users, and then establishes the worm propagation model in order...
Performing joint activity and data detection has recently gained ubiquitous attention for reducing signaling overhead in multi-user Machine-to-Machine Communication systems. To this end investigations on the application of Compressed Sensing have focused on estimating data and node activity jointly in scenarios where the per node activity is very low. The focus of this paper is to enhance the performance...
In the existing scheduled radio standards using Orthogonal Frequency Division Multiplexing (OFDM) or Discrete Fourier Transform-spread-OFDM (DFT-s-OFDM) modulation, the Cyclic Prefix (CP) duration is usually hard-coded and set as a compromise between the expected channel characteristics and the necessity of fitting a predefined frame duration. This may lead to system inefficiencies as well as bad...
A distributed user scheduling scheme is proposed to harvest multiuser diversity (MuD) for the MIMO-Y channel. A three-party information exchange model is considered, where three representatives are selected from three clusters of users to exchange information via a fixed-gain amplify-and-forward (AF) relay. In particular, a novel MIMO-Y transmission scheme is proposed with the reference signal space...
Continuous K-nearest skyline query (CKNSQ) is an important type of the spatio-temporal queries. Given a query time interval [ts, te] and a moving query object q, a CKNSQ is to retrieve the K-nearest skyline points of q at each time instant within [ts, te]. Different from the previous works, our work devotes to overcoming the past assumption that each object is static with certain dimensional values...
In SON enabled LTE networks many different SON functions may operate simultaneously in order to optimize the network performance. With the increasing number of SON functions the probability of conflicts and dependencies between them increases and become more challenging to handle. In this paper an integrated approach for two SON functions, namely handover optimization and load balancing combined with...
Wireless access through a large distributed network of low-complexity infrastructure nodes empowered with cooperation and coordination capabilities, is an emerging radio architecture, candidate to deal with the mobile data capacity crunch. In the 3GPP evolutionary path, this is known as the Cloud-RAN paradigm for future radio. In such a complex network, distributed MIMO resources optimization is of...
We propose a novel framework for fast and robust video anomaly detection and localization in complicated crowd scenes. Images of each video are split into cells for extracting local motion features represented by optical flow. In the train videos, most background cells are subtracted by ViBe model. Feature vectors are extracted from each cell by integrating the value of optical flow in 8 different...
This paper will show how machine learning and data visualization techniques are being used to execute real television ad buys. We present an innovative data visualization tool which allows users to filter, histogram, and sort so as to identify the television inventory with highest value per dollar. Using the application users have been able to identify media that performs 50% better than previous...
This paper proposes a method for the construction of approximate feasible primal solutions from infeasible ones for large-scale optimization problems possessing certain separability properties. Whereas the infeasible primal estimates can typically be produced from (sub-) gradients of the dual function, it is often not easy to project them to the primal feasible set, since the projection itself has...
Power transformer is a strategically important component of power system due to its location and size. Sudden failure of power transformer has both technical and economical impacts. Studies indicate that inter turn fault is one of the major cause of transformer failure. Detection of presence of such fault at an early stage is important to avoid further damage. Objective of this paper is to analyse...
This paper studies a novel kind of robust stability, namely robust asymptotic stability with respect to states' means, of linear time-varying (LTV) uncertain systems. Roughly speaking, the system will feature this robust stability if its state variables' mean values gradually approach to their equilibrium states. Robust input-output finite-time stability (IO-FTS) of the LTV uncertain system over a...
Outsourced computing is increasingly popular thanks to the effectiveness and convenience of cloud computing *-as-a-Service offerings. However, cloud nodes can potentially misbehave in order to save resources. As such, some guarantee over the correctness and availability of results is needed. Exploiting the redundancy of cloud nodes can be of help, even though smart cheating strategies render the detection...
In the context of sensor networks, the consensus problem is an important problem. The goal is to find a distributed algorithm to reach a consensus, i.e. some common value shared by all the agents in the network. Such a well known algorithm is the so-called Random Pairwise Gossip (RPG) [BGPS06]. This algorithm relies on pairwise arithmetic averages. Therefore, it does not apply to some situations of...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.