Miracle-dz/UniFAR-FTUs huggingface dataset:
MIMO channel estimation based on distributed compressed sensing for LTE-advanced

In LTE-Advanced systems, multiple input multiple output and orthogonal frequency division multiplexing technology are employed to achieve a higher data rate transmission, thus accurate channel estimation method is valuable. In this paper, distributed compressed sensing is introduced in LTE-A MIMO system. Thus Space Time Coding and multiple continuous MIMO-OFDM channel estimation in an sub-frame are considered in the paper. By exploiting the correlation among multiple spatial channels and reconstruct them jointly, pilot overhead is reduced in distributed compressed sensing based method. Furthermore, simulation results indicate that the proposed scheme can achieve a better performance, when the spatial channel model extension is used.
Recognizing interval bigraphs by forbidden patterns

Let H be a connected bipartite graph with n vertices and m edges. We give an O ( n m ) time algorithm to decide whether H is an interval bigraph. The best known algorithm has time complexity O ( n m 6 ( m + n ) log n ) and it was developed by Muller in 1997. Our approach is based on an ordering characterization of interval bigraphs introduced by Hell and Huang in 2003. We transform the problem of finding the desired ordering to choosing strong components of a pair‐digraph without creating conflicts. We make use of the structure of the pair‐digraph as well as decomposition of bigraph H based on the special components of the pair‐digraph. This way we make explicit what the difficult cases are and gain efficiency by isolating such situations.
Study of ecosystem dynamics in Sahelian floodplains using Envisat ASAR C-band data

The Waza-Logone floodplain in the north of Cameroon is both ecologically and economically of exceptional importance. Envisat ASAR Alternating Polarization images are used for studying the flooded grassland vegetation. Backscatter signature of different vegetation types, varying in species composition, height, density, and flooding condition, were analyzed and interpreted. Feature selection based on the Jeffries-Matusita distance was performed to determine the optimal period of image acquisition and the optimal polarization combination for separating the different vegetation classes. A classification map of the area with relevant vegetation classes was produced. Two methods were compared: the pixel-based maximum likelihood method and object-based nearest neighbor method.
OPTIMAL PLACEMENT OF UNIFIED POWER FLOW CONTROLLER IN POWER SYSTEM BY A NEW ADVANCED HEURISTIC METHOD

This paper presents a Shuffled Frog Leaping Algorithm to seek the optimal number and location of FACTS devices in a power system. Unified Power Flow Controller (UPFC) has great flexibility that can control the active and reactive power flow and bus voltages, simultaneously. Decoupled model of the UPFC is applied to maximize the system loadability subject to the transmission line capacity limits and specified voltage level. Shuffled frog-leaping algorithm (SFLA) is a new memetic meta-heuristic algorithm with efficient mathematical function and global search capability. Optimal placement of UPFC in power system by Shuffled Frog Leaping Algorithm, it leads to a flat voltage profile and increased stability and capacity of the power transmission in lines. At the end, the proof is performed by simulating and testing the 14-bus network and placement of the UPFC appropriately. The results show that the steady state performance of power system can be effectively enhanced due to the optimal location and parameters of the UPFC.
The CD futures market : hedging and price discovery performance

This study was initiated to examine the hedging and price discovery performance of the CD futures market. In the first part of the study, a method of evaluating the performance of anticipatory hedges was developed. This method improved upon the methods of others by attempting to account for hedgers' expectations of future spot rates;In the second part of the study, a direct test of the weak-form efficient markets hypothesis was applied to the CD futures market. Efficient markets ensure that the market is performing its price discovery function;The results of the study demonstrate that the CD futures market is adequately performing both its hedging and price discovery functions.
On the problem of experimental research of forced vibrations of plates

A conceptual model for determination of vibro-loaded and vibro-safe areas of the board, based on the analysis of flexural vibrations of rods and spread of elastic deformation waves from the point sources with cylindrical symmetry in the body of the plate, is proposed. A scheme for the experimental installation with the use of different types of sensors to check the model and to study the dynamic behavior of the plates and the rods, as elements of structures of radio-electronic means (REM), is offered.
Natural Antioxidants in Foods and Medicinal Plants: Extraction, Assessment and Resources

Natural antioxidants are widely distributed in food and medicinal plants. These natural antioxidants, especially polyphenols and carotenoids, exhibit a wide range of biological effects, including anti-inflammatory, anti-aging, anti-atherosclerosis and anticancer. The effective extraction and proper assessment of antioxidants from food and medicinal plants are crucial to explore the potential antioxidant sources and promote the application in functional foods, pharmaceuticals and food additives. The present paper provides comprehensive information on the green extraction technologies of natural antioxidants, assessment of antioxidant activity at chemical and cellular based levels and their main resources from food and medicinal plants.
ElNémo: a normal mode web server for protein movement analysis and the generation of templates for molecular replacement

Normal mode analysis (NMA) is a powerful tool for predicting the possible movements of a given macromolecule. It has been shown recently that half of the known protein movements can be modelled by using at most two low-frequency normal modes. Applications of NMA cover wide areas of structural biology, such as the study of protein conformational changes upon ligand binding, membrane channel opening and closure, potential movements of the ribosome, and viral capsid maturation. Another, newly emerging field of NMA is related to protein structure determination by X-ray crystallography, where normal mode perturbed models are used as templates for diffraction data phasing through molecular replacement (MR). Here we present ElNémo, a web interface to the Elastic Network Model that provides a fast and simple tool to compute, visualize and analyse low-frequency normal modes of large macro-molecules and to generate a large number of different starting models for use in MR. Due to the 'rotation-translation-block' (RTB) approximation implemented in ElNémo, there is virtually no upper limit to the size of the proteins that can be treated. Upon input of a protein structure in Protein Data Bank (PDB) format, ElNémo computes its 100 lowest-frequency modes and produces a comprehensive set of descriptive parameters and visualizations, such as the degree of collectivity of movement, residue mean square displacements, distance fluctuation maps, and the correlation between observed and normal-mode-derived atomic displacement parameters (B-factors). Any number of normal mode perturbed models for MR can be generated for download. If two conformations of the same (or a homologous) protein are available, ElNémo identifies the normal modes that contribute most to the corresponding protein movement. The web server can be freely accessed at http://igs-server.cnrs-mrs.fr/elnemo/index.html.
Government intervention in technology innovation system in the catching-up context: Case of TD-LTE technology innovation in China

China is witnessed to catch up in the field of information technology (IT) through years of technology innovation. Scholars have indicated the significance of the government promotion and efficient technology innovation systems (TIS). Innovation literature about how TIS can be functioned and efficient with government intervention is still insufficient, especially that in catching-up context. This work aims to understand mechanism of government intervention in TIS for achieving technology innovation. Combining TIS frame with institutional perspective, a framework is developed. Underlying with the framework, case of TD-LTE innovation in China is examined based on extensive documentary research and semi-structured interviews. Within catching-up context, this paper argues that government is required to exert institutional forces on key components of TIS in different stages to achieve different tasks, both influential and regulative, for innovation purpose. These institutional measures work with a time sequence and the environment of technology innovation is also significant.
Research on Vehicle Routing Problem with Time Windows Based on Improving Ant Colony Algorithm

In this paper, the vehicle routing problem with time windows (VRPTW) was considered, and a mixed integer programming mathematic model of VRPTW was proposed in detail. Meantime, an improved ant colony algorithm (IACA) was proposed to overcome the shortcomings of premature convergence and slow convergence of conventional ant colony algorithm (ACA). The experiment results showed that the IACA can solve VRPTW effectively.
Reduced Complexity Blind Layered Space-Time Equalization for MIMO OFDM Systems

This paper proposes a reduced complexity blind layered space-time equalization (LSTE) for multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM). Blind source separation (BSS) combined with a vertical Bell Laboratories layered space-time (V-BLAST) scheme is used in a small portion of subcarriers to perform blind signal detection and channel estimation iteratively. In the remaining subcarriers the channel state information (CSI) is obtained by interpolation using the previously acquired CSI, and signal detection is subsequently carried out with a V-BLAST scheme. Compared to previous work where BSS is used in each subcarrier, the proposed system obtains similar performance while significantly reducing the computational complexity and improving the robustness to the propagation of permutation errors. Also, the performance of the blind LSTE can approach the ideal case with perfect CSI, by using a moderate number of iterations
Modeling Battery Behavior for Accurate State-of-Charge Indication

Li-ion is the most commonly used battery chemistry in portable applications nowadays. Accurate state-of-charge (SOC) and remaining run-time indication for portable devices is important for the user's convenience and to prolong the lifetime of batteries. A new SOC indication system, combining the electromotive force (EMF) measurement during equilibrium and current measurement and integration during charge and discharge, has been developed and implemented in a laboratory setup. During discharge, apart from simple Coulomb counting, the effect of the overpotential is also considered. Mathematical models describing the EMF and the overpotential functions for a Li-ion battery have been developed. These models include a variety of parameters whose values depend on the determination method and experimental conditions. In this paper the battery measurement and modeling efforts are described. The method of implementing the battery model in an SOC indication system is also described. The aim is an SOC determination within 1% inaccuracy or better under all realistic user conditions, including a wide variety of load currents and a wide temperature range. The achieved results show the effectiveness of our novel approach for improving the accuracy of the SOC indication.
Fixed and mobile broadband; Are they substitutes or complements?

This paper investigates whether fixed and mobile broadband services are substitutes or complements using firm-level panel data obtained from three major telecommunications operators in South Korea. We employ a multi-level demand model based on Hausman et al. (1994), which allow for the possibility of complementarity between differentiated services. The estimated price elasticities of demand indicate that mobile broadband is a (week) substitute for fixed broadband while fixed broadband is complementary to mobile broadband. This is in contrast with the previous studies based on logit models which essentially assume substitution between different technologies. This result implies that fixed and mobile internet services constitute distinctive antitrust markets at least in the early stage of mobile broadband development.
The Equilibrium Value of the Euro/$ Us Exchange Rate: An Evaluation of Research

The ultimate object of research concerning the Euro is to answer the following questions: (#1) What is the equilibrium trajectory of the nominal euro, measured as dollars/euro? (#2) To what extent has the equilibrium nominal euro been determined by relative prices (PPP), and to what extent has it been determined by real fundamentals? (#3) How important have been the transitory factors in affecting the value of the euro? (#4) Is the euro currently undervalued, and by what criteria? Our evaluation of recent research concerning the answers to these questions, is the subject of this paper.
ARABIC CALLIGRAPHY: A COMPUTATIONAL EXPLORATION

This paper is inspired by Arabic calligraphy, a unique art form conveying beauty as well as meaning; its versatility in design introduces an infinite realm of possibilities involving extensive explorations and numerous transformations. We present a prototype, Interactive Calligraphy Exploration (ICE) that supports a novel approach to calligraphic compositions by manipulating symmetries, simply and rapidly, by means of regulators, an abstraction that captures symmetry information. ICE supports symmetrical transformations of multiple elements thus producing unusual visual effects. We discuss the integration of the various interdisciplinary concepts during the design and implementation of ICE. With our prototype ICE, we illustrate how the eye interacts with the artistic identity of the symmetries while the computing environment interacts with its mathematics.
Interconnection and damping assignment passivity-based control for flexible joint robot

This paper presents an interconnection and damping assignment passivity based control (IDA-PBC) for the position and impedance control of flexible joint robot. In considering of the joint damping and with some simplification of friction, a flexible joint robot system is descripted as an port-controlled Hamiltonian system with dissipation(PCHD). Then, giving a desired Hamiltonian function which both shapes potential and kinetic energies, the control laws of position control and impedance control is derived by the algebraic IDA-PBC method, which preserves the PCHD structure of the close-loop system. Comparing with the traditional passivity based control (PBC), the proposed method gives a new explanation of the control of flexible joint robot by introducing the self-damping and cross-damping terms, which make the gain selecting procedure more intuitive and comfortable. Simulation and experiments are done to verify the proposed controller, and the results shows a promising performance both in position and impedance control.
What effect do substorms have on the content of the radiation belts?

Substorms are fundamental and dynamic processes in the magnetosphere, converting captured solar wind magnetic energy into plasma energy. These substorms have been suggested to be a key driver of energetic electron enhancements in the outer radiation belts. Substorms inject a keV “seed” population into the inner magnetosphere which is subsequently energized through wave‐particle interactions up to relativistic energies; however, the extent to which substorms enhance the radiation belts, either directly or indirectly, has never before been quantified. In this study, we examine increases and decreases in the total radiation belt electron content (TRBEC) following substorms and geomagnetically quiet intervals. Our results show that the radiation belts are inherently lossy, shown by a negative median change in TRBEC at all intervals following substorms and quiet intervals. However, there are up to 3 times as many increases in TRBEC following substorm intervals. There is a lag of 1–3 days between the substorm or quiet intervals and their greatest effect on radiation belt content, shown in the difference between the occurrence of increases and losses in TRBEC following substorms and quiet intervals, the mean change in TRBEC following substorms or quiet intervals, and the cross correlation between SuperMAG AL (SML) and TRBEC. However, there is a statistically significant effect on the occurrence of increases and decreases in TRBEC up to a lag of 6 days. Increases in radiation belt content show a significant correlation with SML and SYM‐H, but decreases in the radiation belt show no apparent link with magnetospheric activity levels.
H2O: An Autonomic, Resource-Aware Distributed Database System

This paper presents the design of an autonomic, resource-aware distributed database which enables data to be backed up and shared without complex manual administration. The database, H2O, is designed to make use of unused resources on workstation machines. Creating and maintaining highly-available, replicated database systems can be difficult for untrained users, and costly for IT departments. H2O reduces the need for manual administration by autonomically replicating data and load-balancing across machines in an enterprise. Provisioning hardware to run a database system can be unnecessarily costly as most organizations already possess large quantities of idle resources in workstation machines. H2O is designed to utilize this unused capacity by using resource availability information to place data and plan queries over workstation machines that are already being used for other tasks. This paper discusses the requirements for such a system and presents the design and implementation of H2O.
Listen To Me - Don't Listen To Me: What Communities of Critics Tell Us About Music

Social knowledge and data sharing on the Web takes many forms. So too do the ways people share ideas and opinions. In this paper we examine one such emerging form: the amateur critic. In particular, we examine genius.com, a website which allows its users to annotate and explain the meaning of segments of lyrics in music and other written works. We describe a novel dataset of approximately 700,000 users’ activity on genius.com, their social connections, and song annotation activity. The dataset encompasses over 120,000 songs, with more than 3 million unique annotations. Using this dataset, we model overlap in interest or expertise through the proxy of co-annotation. This is the basis for a complex network model of the activity on genius.com, which is then used for community detection. We introduce a new measure of network community activity: community skew. Through this analysis we draw a comparison of between co-annotation and notions of genre and categorisation in music. We show a new view on the social constructs of genre in music.
Enhanced DRX-aware scheduling for mobile users in LTE networks

The Discontinuous Reception (DRX) mechanism which is widely adopted in LTE to conserve the user equipment (UE)'s battery resources, not only introduces high handover latency but also reduces the downlink scheduler efficiency. A key objective of this work is to design battery power aware scheduling by incorporating the per-UE DRX parameters (such as the On Duration Timer) in downlink scheduling. This allows maximizing the UEs battery lifetime while satisfying the application qualify of service (QoS) requirement. In this paper, we propose an enhanced DRX-Aware scheduling (eDAS) mechanism that can balance the trade-off between application QoS requirements and UE's power consumption. The eDAS scheduler accounts for both static and mobile UEs. Simulation analysis shows that the proposed eDAS scheme achieves lower packet loss rate and packet delay when compared with traditional scheduling algorithms such as Proportional Fairness (PF) and Maximum Largest Weighted Delay First (M-LWDF), while still achieving significant power conservation.
Analog and Digital Meter Recognition Using Computer Vision

'I'he purpose of this paper is to build a computer vision system that cndows an ant onomous mobile robot the ability of automatic measnring of the anlog and digital meters installed in nuclear power plant (NPP). In the m ~ t e r image captured by the camera, the meter area is sorted out using mainly the thresholding and the region labeling. The positions and the angles of the needles in analog meter images are detected using projection based method. In the case of digital meters, digits and points are extracted and finally recognized through the neural network classifier. The function name of the meter needs to be identified and the scale distributions are also required to be analyzed to make the meter recognition fully automatic.
DELAY-DEPENDENT STABILITY ANALYSIS OF LINEAR TIME DELAY SYSTEMS

Stability of time delay systems is investigated considering the delay-dependent case. The system without delays is assumed stable and conservative conditions are derived for finding the maximal delay that preserves stability. The problem is treated in the quadratic separation framework and the resulting criteria are formulated as feasibility problems of Linear Matrix Inequalities. The construction of the results relies on a fractioning of the delay. As the fractioning becomes thinner, the results prove to be less and less conservative. An example show the effectiveness of the proposed technique.
A Practical Tool for Parsing and Generating Data Formats

Binary file formats and network protocols are hard to parse safely: The libpng image decompression library had 24 remotely exploitable vulnerabilities from 2007 to 2013. According to CVEdetails, Adobe’s PDF and Flash viewers have been notoriously plagued by input processing vulnerabilities, and even the zlib compression library had input processing vulnerabilities in the past. Most of these attacks involve memory corruption— therefore, it is easy to assume that solving memory corruption will end all our woes when handling untrusted inputs.
A Circle-Monitor for Computerised Assessment of Visual Neglect in Peripersonal Space

Current assessment of visual neglect involves paper-and-pencil tests or computer-based tasks. Both have been criticised because of their lack of ecological validity as target stimuli can only be presented in a restricted visual range. This study examined the user-friendliness and diagnostic strength of a new “Circle-Monitor” (CM), which enlarges the range of the peripersonal space, in comparison to a standard paper-and-pencil test (Neglect-Test, NET). Methods Ten stroke patients with neglect and ten age-matched healthy controls were examined by the NET and the CM test comprising of four subtests (Star Cancellation, Line Bisection, Dice Task, and Puzzle Test). Results The acceptance of the CM in elderly controls and neglect patients was high. Participants rated the examination by CM as clear, safe and more enjoyable than NET. Healthy controls performed at ceiling on all subtests, without any systematic differences between the visual fields. Both NET and CM revealed significant differences between controls and patients in Line Bisection, Star Cancellation and visuo-constructive tasks (NET: Figure Copying, CM: Puzzle Test). Discriminant analyses revealed cross-validated assignment of patients and controls to groups was more precise when based on the CM (hit rate 90%) as compared to the NET (hit rate 70%). Conclusion The CM proved to be a sensitive novel tool to diagnose visual neglect symptoms quickly and accurately with superior diagnostic validity compared to a standard neglect test while being well accepted by patients. Due to its upgradable functions the system may also be a valuable tool not only to test for non-visual neglect symptoms, but also to provide treatment and assess its outcome.