Miracle-dz/UniFAR-FTUs huggingface dataset:
Efficient Misplaced-Tag Pinpointing in Large RFID Systems

Radio-Frequency Identification (RFID) technology brings many innovative applications. Of great importance to RFID applications in production economics is misplaced-tag pinpointing (MTP), because misplacement errors fail optimal inventory placement and thus significantly decrease profit. The existing MTP solution [1], originally proposed from a data-processing perspective, collects and processes a large amount of data. It suffers from time inefficiency (and energy-inefficiency as well if active tags are in use). The problem of finding efficient solutions for the MTP problem from the communication protocol design perspective has never been investigated before. In this paper, we propose a series of protocols toward efficient MTP solutions in large RFID systems. The proposed protocols detect misplaced tags using reader positions instead of tag positions to guarantee the efficiency and scalability as system scale grows, because RFID readers are much fewer than tags. Considering applications that employ active tags, we further propose a solution requiring responses from only a subset of tags in favor of energy saving. We also design a distributed protocol that enables each reader to independently detect misplaced tags. We then investigate how to apply the proposed protocols in scenarios with tag mobility. To evaluate the proposed protocols, we analyze their optimal performances to demonstrate their efficiency potential and also conduct extensive simulation experiments. The results show that the proposed protocols can significantly increase the time efficiency and the energy efficiency by over 70 percent on average when compared with the best existing work.
Antidepressants of the Serotonin-Antagonist Type Increase Body Fat and Decrease Lifespan of Adult Caenorhabditis elegans

It was recently suggested that specific antidepressants of the serotonin-antagonist type, namely mianserin and methiothepin, may exert anti-aging properties and specifically extend lifespan of the nematode C.elegans by causing a state of perceived calorie restriction (Petrascheck M, Ye X, Buck LB: An antidepressant that extends lifespan in adult Caenorhabditis elegans; Nature, Nov 22, 2007;450(7169):553–6, PMID 18033297). Using the same model organism, we instead observe a reduction of life expectancy when employing the commonly used, standardized agar-based solid-phase assay while applying the same or lower concentrations of the same antidepressants. Consistent with a well-known side-effect of these compounds in humans, antidepressants not only reduced lifespan but also increased body fat accumulation in C. elegans reflecting the mammalian phenotype. Taken together and in conflict with previously published findings, we find that antidepressants of the serotonin-antagonist type not only promote obesity, but also decrease nematode lifespan.
Mobile technology usage mediates gender differences in physical activity

Gender differences in how technology is used to facilitate physical activity engagement was examined. 578 adults completed a survey assessing gender, mobile device usage, stages of change in physical activity based on the transtheoretical model of behaviour change (TTM) and relevant covariates. Data analysis revealed that both cumulative device types and cumulative reasons for using devices mediated gender differences in stage membership for physical activity. Females used fewer devices and reported fewer reasons for using such devices than male participants. These dispositions predicted a reduced probability of achieving action/maintenance stages for physical activity. Females used fewer mobile devices and perceived fewer incentives for using such devices. As a result they are less likely to enter the action/maintenance stages of physical activity. Interventions to promote female participation in physical activity need to recognise gender differences in the use of mobile technology.
Nowhere to Run, Nowhere to Hide

Let's read! We will often find out this sentence everywhere. When still being a kid, mom used to order us to always read, so did the teacher. Some books are fully read in a week and we need the obligation to support reading. What about now? Do you still love reading? Is reading only for you who have obligation? Absolutely not! We here offer you a new book enPDFd nowhere to run nowhere to hide to read.
Efficiency analysis of sinusoidal stiffness variation method for chatter suppression

Chatter known as an unstable state, is a self-excite vibration which limits productivity of machining processes. To achieve stable machining and high productivity, chatter should be suppressed before it is fully developed. Sinusoids stiffness variation is an efficient method of chatter suppression that continuously varies the stiffness of the tool post. The frequency and the amplitude of sinusoids naturally play a critical role in the performance of chatter suppression. However, previous researches on stiffness variation are mostly qualitative based on experimental tests. Thus, this paper quantitatively investigates the effects of the frequency and the amplitude on chatter suppression from theoretical point of view. Both joint and individual effects of the frequency and the amplitude on the control efficiency are explored using semi-discretization method. The improvement of the stability limit is verified by the time response using Simulink. Moreover, the influence of the initial phase is studied and suggests the sinusoidal stiffness variation is dependent on the initial phase when the frequency is larger than 0.25 Hz.
Atmospheric Radiation Measurement site atmospheric state best estimates for Atmospheric Infrared Sounder temperature and water vapor retrieval validation

[1] The Atmospheric Infrared Sounder (AIRS) is the first of a new generation of advanced satellite-based atmospheric sounders with the capability of obtaining high–vertical resolution profiles of temperature and water vapor. The high-accuracy retrieval goals of AIRS (e.g., 1 K RMS in 1 km layers below 100 mbar for air temperature, 10% RMS in 2 km layers below 100 mbar for water vapor concentration), combined with the large temporal and spatial variability of the atmosphere and difficulties in making accurate measurements of the atmospheric state, necessitate careful and detailed validation using well-characterized ground-based sites. As part of ongoing AIRS Science Team efforts and a collaborative effort between the NASA Earth Observing System (EOS) project and the Department of Energy Atmospheric Radiation Measurement (ARM) program, data from various ARM and other observations are used to create best estimates of the atmospheric state at the Aqua overpass times. The resulting validation data set is an ensemble of temperature and water vapor profiles created from radiosondes launched at the approximate Aqua overpass times, interpolated to the exact overpass time using time continuous ground-based profiles, adjusted to account for spatial gradients within the Advanced Microwave Sounding Unit (AMSU) footprints, and supplemented with limited cloud observations. Estimates of the spectral surface infrared emissivity and local skin temperatures are also constructed. Relying on the developed ARM infrastructure and previous and ongoing characterization studies of the ARM measurements, the data set provides a good combination of statistics and accuracy which is essential for assessment of the advanced sounder products. Combined with the collocated AIRS observations, the products are being used to study observed minus calculated AIRS spectra, aimed at evaluation of the AIRS forward radiative transfer model, AIRS observed radiances, and temperature and water vapor profile retrievals. This paper provides an introduction to the ARM site best estimate validation products and characterizes the accuracy of the AIRS team version 4 atmospheric temperature and water vapor retrievals using the ARM products. The AIRS retrievals over tropical ocean are found to have very good accuracy for both temperature and water vapor, with RMS errors approaching the theoretical expectation for clear sky conditions, while retrievals over a midlatitude land site have poorer performance. The results demonstrate the importance of using specialized “truth” sites for accurate assessment of the advanced sounder performance and motivate the continued refinement of the AIRS science team retrieval algorithm, particularly for retrievals over land.
Selection fusion in semi-structured retrieval

Semi-structured retrieval aims at providing focused answers to the users queries. A successful retrieval experience in semi-structured environment would mean a satisfactory combination of (a) matching or scoring and (b) selection of appropriate and focused fragments of the text. The need to retrieve items of different sizes arises today with users querying the retrieval systems with varied use case, user interface and screen-size requirements. Which means that different selection scenario serve different requirements and constraints. Hence we propose, a novel type of fusion; the \textit{selection fusion} -- a fusion methodology which fuses an all-purpose and comprehensive ranking of elements with a specific selection scheme, and also enables evaluation of the ranking in many selection perspectives. With the standard Wikipedia XML test collection, we are able to demonstrate that a strong and competitive baseline ranking system improves retrieval quality irrespective of the selection criteria. Our baseline ranking system is based on data fusion over the official submitted runs at INEX 2009.
A high-rate transmit diversity technique for wireless communication

The increasing demand for higher data rates and higher quality in wireless communications has motivated the use of multiple antenna elements. MISO (Multiple Input Single Output) is an antenna technology for wireless communications in which multiple antennas are used at the source (transmitter) and single antenna used at receiver. Multiple transmitting antenna system improves the channel gain with same power and bandwidth requirement. A Maximum diversity of such an system can be obtained by exploiting the Space Time Block Codes. Some of Space Time Block Codes that can achieve full diversity for an MISO system are Toeplitz STBC, Overlapped Alamouti STBC, Alamouti-Toeplitz STBC. Though achieving full diversity in MISO system is quite complicated, STBC schemes can achieve maximum diversity by using Linear Receivers. This paper proposes an Orthogonal Frequency Division Multiplexing (OFDM) on both the transmitter and receiver to enhance the data rate and to eliminate the interference. Also this paper focuses on the bit error performance analysis of the various STBC schemes that incorporates OFDM for a Square Quadrature Amplitude Modulation (QAM) constellation using Zero Forcing (ZF) receiver.
Opinion Extraction and Classification Based on Semantic Similarities

This paper presents an automatic extraction and classification approach of opinions in texts. Therefore, we propose a similarity measurement calculating semantically similarities between a word and predefined subgroups of seed words. We have evaluated our approach on the semantic evaluation company “SemEval 2007” corpus, and we obtained promising results: the best value of Precision, 62%; and F1, 61%; as an improvement of 20 % compared to the participant systems.
Sequential distance dependent Chinese Restaurant Processes for motion segmentation of 3D LIDAR data

This paper proposes a novel object segmentation method for 3D Light Detection and Ranging (LIDAR) data that is particularly useful for the traffic scene analysis of self-driving vehicles. The novel method gains robustness against under-segmentation, i.e. the problem of assigning several objects to one segment, by jointly using geometrical features and motion field information to discriminate even spatially close objects in the data. The approach maps point cloud data to an occupancy grid representation and estimates the motion field using Kalman filter based tracking of grid cells. A non-parametric Bayesian clustering approach based on a sequential distance dependent Chinese Restaurant Process (s-ddCRP) utilizes this information in order to sample possible data segmentation hypotheses and decide on the most probable one. The computational efficiency of the approach is improved by exploiting the sequential nature of the problem and initializing the required Gibbs sampler using data from the previous time step and fixing found clusters of objects in super grid cells which can be tracked jointly. Experiments carried out on data obtained with a Velodyne HDL64 scanner in a real traffic scenario illustrate the performance of the approach.
The extreme flare in III Zw 2: evolution of a radio jet in a Seyfert galaxy

A very detailed monitoring of a radio flare in the Seyfert I galaxy III Zw 2 with the VLA and the VLBA is presented. The relative astrometry in the VLBA observations was precise to a few muas. The spectral and spatial evolutions of the source are closely linked, and these observations allowed us to study a textbook example of a synchrotron self-absorbed jet in great detail. We observed a phase where the jet gets frustrated with neither expansion nor spectral evolution. Then the jet breaks free and starts to expand with apparent superluminal motion. This expansion is accompanied by a strong spectral evolution. The results are a good confirmation of synchrotron theory and equipartition for jets.
Identification and Characterization of microRNA319a and Its Putative Target Gene, PvPCF5, in the Bioenergy Grass Switchgrass (Panicum virgatum)

Due to its high biomass yield, low environmental impact, and widespread adaptability to poor soils and harsh conditions, switchgrass (Panicum virgatum L.), a warm-region perennial herbaceous plant, has attracted much attention in recent years. However, little is known about microRNAs (miRNAs) and their functions in this bioenergy grass. Here, we identified and characterized a miRNA gene, Pvi-MIR319a, encoding microRNA319a in switchgrass. Transgenic rice lines generated by overexpressing the Pvi-MIR319a precursor gene exhibited broader leaves and delayed flowering compared with the control. Gene expression analysis indicated at least four putative target genes were downregulated. Additionally, we cloned a putative target gene (PvPCF5) of Pvi-MIR319a from switchgrass. PvPCF5, a TCP transcription factor, is a nuclear-localized protein with transactivation activity and control the development of leaf. Our results suggest that Pvi-MIR319a and its target genes may be used as potential genetic regulators for future switchgrass genetic improvement.
A scattering ratio method for sizing particulates in a plasma

Particulates suspended in plasma can be sized in situ using the scattering ratio method, which involves measuring the ratio of the parallel and perpendicular polarizations of light scattered at . This method of plasma monitoring is of interest for controlling contamination of silicon wafers and other thin film products during plasma etching and deposition procedures. For parameters typical of plasma processing, we report Mie scattering computations to test the method's sensitivity to the optical design and to uncertainties in the particle parameters. A error in the size determination can result either from an uncertainty of either in the real or in the imaginary part of the refractive index or from a particle shape that deviates significantly from a sphere. A error results from a error in aligning the scattering angle. To measure particulate diameters as small as , the detector solid angle should be Sr and the extinction ratio of the polarizer must be . A calculation of the signal-to-noise ratio reveals that it is untenably weak for particle diameters smaller than about . The scattering ratio method is usually inapplicable for polydisperse particulates, but it will still work in many cases for many plasma applications, in which particles stratify in different layers according to their size.
Generic Analysis and Methods for Computing Skyline Variants

Skyline queries are often used on data sets in multi-dimensional space for many decision-making applications. Traditionally, a point p is said to dominate another point q if, for all dimension, it is no worse than q and is better on at least one dimension. Therefore, the skyline of a data set consists of all points not dominated by any other point. To better cater to application requirements such as controlling the size of the skyline or handling data sets that are not well-structured, various works have been proposed to extend the definition of skyline based on variants of the dominance relationship. However, it is difficult to implement each of these variants separately in a system setting and instead effort must be made to provide a general framework so that these specific implementations can be easily materialized over the framework. Zhenjie Zhang Department of Computer Science School of Computing National University of Singapore E-mail: zhenjie@comp.nus. edu.sg Hua Lu Department of Computer Science Faculties of Engineering, Science, and Medicine Aalborg University E-mail: luhua@cs.aau. dk Beng Chin Ooi Department of Computer Science School of Computing National University of Singapore E-mail: ooibc@comp.nus. edu.sg Anthony K. H. Tung Department of Computer Science School of Computing National University of Singapore E-mail: atung@comp.nus. edu.sg In this paper, a generalized framework is proposed for this purpose. Our framework explicitly and carefully examines the various properties that should be preserved in a variant of the dominance relationship so that: (1) the original advantages of skyline can be maintained while adaptivity to application semantics is also catered to and (2) computational complexity is almost unaffected. We prove that traditional dominance is the only relationship satisfying all desirable properties and present some new dominance relationships to illustrate that other skyline variants always have their tradeoff in relaxing some of the properties. We then developed generic algorithms that compute skyline variants subject to the constraints that certain properties are relaxed and illustrate the use of our framework in computing of skyline over datasets with missing values. Extensive experimental results are presented to evaluate the efficiency and effectiveness of our framework.
Dynamic Data Structure Analysis for Java Programs

Analysis of dynamic data structure usage is useful for both program understanding and for improving the accuracy of other program analyses. Static analysis techniques, however, suffer from reduced accuracy in complex situations, and do not necessarily give a clear picture of runtime heap activity. We have designed and implemented a dynamic heap analysis system that allows one to examine and analyze how Java programs build and modify data structures. Using a complete execution trace from a profiled run of the program, we build an internal representation that mirrors the evolving runtime data structures. The resulting series of representations can then be analyzed and visualized, and we show how to use our approach to help understand how programs use data structures, the precise effect of garbage collection, and to establish limits on static data structure analysis. A deep understanding of dynamic data structures is particularly important for modern, object-oriented languages that make extensive use of heap-based data structures
Information literacy and social networking sites: challenges and stakes regarding teenagers’ uses

Abstract: Research has shown that information seeking can act as a motivation to use SNS. In this paper, we identify patterns of information uses of SNS among teenagers specifically.There is evidence to suggest that teenagers use SNS for information purposes both informally outside of the school environment and also as part of their academic studies. We explore three important implications of this phenomemon in terms of students’ information literacy: firstly, the evaluation and validation of information obtained via SNS; secondly, the significance of these practices for collaboration and other 21 st century skills; and finally, the porosity of formal and informal learning contexts. We conclude by reflecting on the ways in which current IL models and teaching practices need to adapt to accommodation teenagers’ uses of SNS. Keywords: social media, social networking sites, information uses, teenagers, information literacy, 21 st century skills, empowerment *** Resume : Des recherches recentes demontrent l’importance des usages informationnels des reseaux sociaux. Dans cet article, nous traitons de ces usages informationnels des reseaux sociaux par les adolescents. Des resultats montrent en effet que les jeunes utilisent les reseaux sociaux a des fins d'information, a la fois de maniere informelle en dehors de l'environnement scolaire et egalement dans le cadre de leurs etudes. Nous explorons trois implications importantes de ce phenomene quant a la maitrise de l’information ( information literacy ) par ces jeunes : l'evaluation et la validation des informations obtenues par ce biais; les pratiques de collaboration au sein des competences du 21e siecle; les enjeux, en termes d’inegalites, poses par la porosite des contextes formels et informels. Nous concluons par une reflexion sur la maniere dont les modeles d’ information literacy et les pratiques d'enseignement pourraient integrer ces pratiques. Mots-cles : media sociaux, reseaux sociaux numeriques, pratiques informationnelles, adolescents, information literacy, competences du 21 eme siecle, capacitation
Enhancement of stereoscopic depth estimation by the use of motion information

The method presented in this paper uses motion information to complement the state-of-the-art depth estimation technique. The use of motion field correspondence between different views in the matching cost function for disparity computation is proposed. In addition, edges from motion maps are used to modify smoothing cost function in the algorithm in order to preserve sharp edges of moving objects and smooth transitions in the background or steady areas of depth map. Experimental results show that our modified algorithm significantly increases quality of depth maps in local areas. The technique is particularly interesting for applications where motion estimation is also needed for other purposes.
Infrared microspectroscopic imaging of plant tissues: spectral visualization of Triticum aestivum kernel and Arabidopsis leaf microstructure

Infrared microspectroscopy is a tool with potential for studies of the microstructure, chemical composition and functionality of plants at a subcellular level. Here we present the use of high-resolution bench top-based infrared microspectroscopy to investigate the microstructure of Triticum aestivum L. (wheat) kernels and Arabidopsis leaves. Images of isolated wheat kernel tissues and whole wheat kernels following hydrothermal processing and simulated gastric and duodenal digestion were generated, as well as images of Arabidopsis leaves at different points during a diurnal cycle. Individual cells and cell walls were resolved, and large structures within cells, such as starch granules and protein bodies, were clearly identified. Contrast was provided by converting the hyperspectral image cubes into false-colour images using either principal component analysis (PCA) overlays or by correlation analysis. The unsupervised PCA approach provided a clear view of the sample microstructure, whereas the correlation analysis was used to confirm the identity of different anatomical structures using the spectra from isolated components. It was then demonstrated that gelatinized and native starch within cells could be distinguished, and that the loss of starch during wheat digestion could be observed, as well as the accumulation of starch in leaves during a diurnal period.