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We investigate the properties of two particular sets of separable two-qubit states with maximally mixed marginals, named parallel states and antiparallel states respectively. Although these two sets of states are prepared by the same type of quantum operations acting on classically correlated states with equal classical correlations, they share different properties. By comparing two fundamental figures...
Quantum steering plays a fundamental role in quantum information processing regime. In particular, there are two steering-related concepts: one is the quantum steering ellipsoid, which has been used to visualize the two-qubit state, and the other is the Einstein-Podolsky-Rosen (EPR) steering that is a nonlocal correlation between entanglement and Bell nonlocality. In this work, we study the monogamy...
The physical principle of nonlocality is of particular interest both for fundamental tests of quantum theory via Bell inequality violations and for many quantum information processing applications like quantum key distribution (QKD). Over the last decades, corresponding studies have been performed mostly on the basis of two-dimensional quantum states (qubits). In order to gain a deeper insight into...
Multilabel image classification has been a hot topic in the field of computer vision and image understanding in recent years. To achieve better classification performance with fewer labeled images, multilabel active learning is used for this scenario. Several active learning methods have been proposed for multilabel image classification. However, all of them assume that either all training images...
Data hiding schemes using complete complementary codes (CCC) have been developed for image and audio signals. It has been shown that a high payload and a low bit-error-rate can be achieved by such data hiding strategies because of the ideal auto- and cross-correlation properties of CCC. In this study, a new data hiding strategy based on CCC is proposed by utilizing characteristics of musical pieces...
Social networks such as Twitter and Facebook have become important sources for users to acquire information. In those social networks, users obtain information from the posts/reposts of their social connections. To acquire information efficiently, users are motivated to connect to users who offer attractive and timely information. In this paper, we study how to effectively optimize social connections...
The densification of small cells (SCs) and caching at the edge are two promising approaches to improve the network throughput, reduce end-to-end delay and backhaul cost in future 5G wireless networks. However, current analysis and design only focus on the system state at a certain time, neglecting the temporal-spatial fluctuation of traffic and the content popularity variations, which are often affected...
In the present study we investigated brain network connectivity differences between patients with relapsing-remitting multiple sclerosis (RRMS) and healthy controls (HC) as derived from functional resonance magnetic imaging (fMRI) using graph theory. Resting state fMRI data of 18 RRMS patients (12 female, mean age ± SD: 42 ± 12.06 years) and 25 HC (8 female, 29.2 ± 5.38 years) were analyzed. In order...
This study investigated the impact of technology-generated listening environments upon processing of cognitive information. The main question asked was: To what extent does background sound impact accuracy on a cognitive task? A total of 217 museum-goers (127 f, 90 m) completed a language categorization task in four different listening environments: rain sounds, fast music, calm music, and silence...
Microwave photonics (MWP) provides advantages in bandwidth performance and fan-in scalability that are far superior to electronic counterparts. Processing of many channels at high bandwidths is not easily achievable in any electronic implementation. We consider an MWP system that iteratively performs principal component analysis (PCA) on partially correlated, eight-channel, and 13-GBd signals. The...
The process of quantifying image quality consists of engineering the quality features and pooling these features to obtain a value or a map. There has been a significant research interest in designing the quality features but pooling is usually overlooked compared to feature design. In this work, we compare the state of the art quality and content-based spatial pooling strategies and show that although...
In this paper, we target a recent challenging problem raised in image processing area: face verification in the presence of facial makeup. To the best of our knowledge, very few works have been proposed to solve this problem. In this paper, we propose a novel face verification scheme. Random subspace is applied to get multiple correlation spaces. Similarity measures among face images are calculated...
The purpose of this article is to explore the impact of different plan form of circulation systems on spatial information processing and orientation abilities of newcomers in unfamiliar large-scale commercial environments. Two shopping malls in Beijing were chosen to apply the same field experiments, which were in the same conditions except different types of circulation systems— one with multi-atriums...
High Efficiency Video Coding (HEVC) is a novel video compression standard. It provides significantly better performance than its predecessor, but introduces high computational complexity due its hierarchical block structure. Determining Coding Units (CU), Prediction Units (PU), and Transform Units (TU) size is a time consuming process, as block partitioning decisions are based on rate-distortion optimization...
We investigate the correlation between similarity in speaker characteristics and information transmission quality using a map task dialogue corpus. Similarity between the prosodic features and lexical styles of different speakers are analyzed, and most of these similarity measurements are shown to have significant correlations with information transmission quality as measured by a direction following...
Advancing over up-to-date information theoretic results that assume symmetric correlation models, in this work we consider the problem of lossy binary source coding with side information, where the correlation is expressed by a generic binary asymmetric channel. Specifically, we present an in-depth analysis of rate distortion with side information available to both the encoder and decoder (conventional...
This paper is aimed at making diagnosis for turbine blades by processing data. In this paper three kinds of feature are extracted, using time-domain analysis, wavelet packet decomposition and fractal analysis respectively. K-means algorithm is improved to classify data. The method of improved ReliefF is taken to allocate weights of each feature. This article calculates combined feature center distance...
We revisit the problem of data redundancy in Wireless Sensor Networks (WSNs) from a Collaborative Signal and Information Processing (CSIP) perspective. We propose an Information Processing and Communication Reduction (IPCR) scheme that utilizes spectrum sensing to detect and eliminate data redundancy. IPCR adapts its functionality according to data-space correlations and is independent of spatial...
In this paper we present spectrum usage results from a measurement campaign conducted in Berlin (Germany) during the International Radio Exhibition in September 2013. The measurements were performed in order to understand the characteristics of spectrum usage in the UHF TV band within a large indoor area. The measurement campaign relies on a spectrum sensing grid which is installed across multiple...
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