Miracle-dz/UniFAR-FTUs huggingface dataset:
Security primitive design with nanoscale devices: A case study with resistive RAM

Inherent stochastic physical mechanisms in emerging nonvolatile memories (NVMs), such as resistive random-access-memory (RRAM), have recently been explored for hardware security applications. Unlike the conventional silicon Physical Unclonable Functions (PUFs) that are solely based on manufacturing process variation, RRAM has some intrinsic randomness in its physical mechanisms that can be utilized as entropy sources; for instance, resistance variation, random telegraph noise, and probabilistic switching behaviors. This paper reviews the challenges and opportunities in building security primitives with emerging devices. In particular, it presents research progress of RRAM-based hardware security primitives, including PUF and True Random Number Generator (TRNG).
Multilingual Central Repository version 3.0

This paper describes the upgrading process of the Multilingual Central Repository (MCR). The new MCR uses WordNet 3.0 as Interlingual-Index (ILI). Now, the current version of the MCR integrates in the same EuroWordNet framework wordnets from five different languages: English, Spanish, Catalan, Basque and Galician. In order to provide ontological coherence to all the integrated wordnets, the MCR has also been enriched with a disparate set of ontologies: Base Concepts, Top Ontology, WordNet Domains and Suggested Upper Merged Ontology. The whole content of the MCR is freely available.
Analysis of social metrics in dynamic networks: measuring the influence with FRINGE

Nowadays, social networking services, such as Facebook, Google+ or Twitter, have been drawing increasing attention from everyday users to research and industrial communities worldwide. The success of these social networking services provides a wealth of information that, suitably managed, may offer very useful knowledge to decision making. This paper overviews the state of the art of this emerging field of study and, in particular, collects several social metrics that are useful for decision making. Furthermore, the FRINGE algorithm is proposed as a method to measure the degree of influence of a network node, i. e. to what extent a certain node is isolated or is inside a community in which it is the leader or is near him or her, as a consequence of its good performance in accuracy and computational cost. To study the advantages of our proposal, we present an in-depth analysis of the Flickr dataset. Our results show that there exists a strong correlation between the popularity of the set of photos uploaded by a user and his or her influence. This information may turn out to be very valuable for selective marketing campaigns, by taking advantage of the leadership structure of a social network, in order to spread a brand-new product widely throughout the network.
Asia in a Low Inflation Environment: Facts, Orgins, and Implications for Policy

Dramatic declines in inflation rates across Asia and falling prices in some countries have recently heightened fears of deflation. This paper aims to shed light on this issue by reviewing the cross-country evidence in Asia and highlighting key observations about recent price developments in the region. In light of the recent surge in popular discussion about deflation, some of which are not based on sound economic reasoning, the paper attempts to filter out the arguments by providing a clear and coherent understanding of falling price, how they occur, what are the causes, and how do they affect the economy. In doing so, it hopes to provide a basis for a focused and coherent discussion of deflation (or the risk of one) in Asia.
De-Orphaning the Structural Proteome through Reciprocal Comparison of Evolutionarily Important Structural Features

Function prediction frequently relies on comparing genes or gene products to search for relevant similarities. Because the number of protein structures with unknown function is mushrooming, however, we asked here whether such comparisons could be improved by focusing narrowly on the key functional features of protein structures, as defined by the Evolutionary Trace (ET). Therefore a series of algorithms was built to (a) extract local motifs (3D templates) from protein structures based on ET ranking of residue importance; (b) to assess their geometric and evolutionary similarity to other structures; and (c) to transfer enzyme annotation whenever a plurality was reached across matches. Whereas a prototype had only been 80% accurate and was not scalable, here a speedy new matching algorithm enabled large-scale searches for reciprocal matches and thus raised annotation specificity to 100% in both positive and negative controls of 49 enzymes and 50 non-enzymes, respectively—in one case even identifying an annotation error—while maintaining sensitivity (∼60%). Critically, this Evolutionary Trace Annotation (ETA) pipeline requires no prior knowledge of functional mechanisms. It could thus be applied in a large-scale retrospective study of 1218 structural genomics enzymes and reached 92% accuracy. Likewise, it was applied to all 2935 unannotated structural genomics proteins and predicted enzymatic functions in 320 cases: 258 on first pass and 62 more on second pass. Controls and initial analyses suggest that these predictions are reliable. Thus the large-scale evolutionary integration of sequence-structure-function data, here through reciprocal identification of local, functionally important structural features, may contribute significantly to de-orphaning the structural proteome.
Analytical techniques of quality and cost : robust design, design of experiments, and the prediction of mean shift

The quality of a product to a large extent determines the success of that product in competitive markets. Measuring and improving quality is thus a primary objective of the designer. The aim of the following work is to provide an introduction to the methods of quality optimization and to illustrate these techniques through examples. Quality is first defined and quantified. The robust design method, which is a technique that focuses on improving quality without adding cost, is then described. Particular attention is paid to experiment design, which is a major factor in the effectiveness and efficiency of the robust design process. The effect of product variability on the mean performance of a product is also explained along with the various ways that can be used to predict a shift in the mean value of the performance. Two examples are then developed. The first focuses on the application of the robust design method to illustrate the steps of the process. The second example primarily focuses on creating a comparison of the Monte Carlo, Latin Hypercube, and star pattern sampling methods on predicting mean shift. The benefits of the star pattern sampling method are apparent through the example. The error in the prediction of mean shift of the star pattern is less than 1%, and the execution time was less than one fifth the times of the Monte Carlo and Latin Hypercube methods. Thesis Supervisor: Daniel Frey Title: Assistant Professor of Mechanical Engineering
ANALYSIS OF PHOTONIC BAND GAP SURFACES USING ANSOFT HFSS

The microwave industry recently foundnew uses for concepts familiar to solidstate designers in the form of photonic band gap (PBG) constructions. PBG constructions offer the ability to produce substrates, ground planes and other structures, which have a forbidden frequency range, or band gap, that does not support electromagnetic waves. This behavior arises from some form of periodicity, in either material characteristics or in a circuit layer, that reacts to electromagnetic fields in much the same way that crystal lattice structures do. PBG surfaces — which often become magnetic conductors within their band gaps, much like a corrugated metal plate with the correct characteristics — have a number of exciting potential uses to the microwave and wireless design world. A few examples include circuit board ground planes (which cannot be excited by long clock traces), novel TEM-mode rectangular waveguides,1 antenna ground planes (which do not image currents and sap antenna gain) and shield surfaces to reduce specific absorption rate (SAR) levels in cellular phone users. PBG surface structures designed for these applications are currently being modeled with custom algorithms. With the release of Ansoft HFSS 7 and its associated OptimetricsTM engine, a commercial finite element method (FEM) package is for the first time capable of solving more general categories of PBG devices. The simplest microwave PBG structures are solid substrates perforated with a rectangular grid of holes, or their complement: a rectangular grid of dielectric rods in air. Assuming a finite number of periods, these structures are easy to model for transmission characteristics in many commercial electromagnetic packages using a waveguide simulator approach shown in Figure 1. (Five periods in the transmission direction are shown.) Example transmission spectra obtained with Ansoft HFSS for five, six and ANALYSIS OF PHOTONIC BANDGAP SURFACES USING ANSOFT HFSS
Distinct Regions of the Medial Prefrontal Cortex Are Associated with Self-referential Processing and Perspective Taking

The medial prefrontal cortex (MPFC) appears to play a prominent role in two fundamental aspects of social cognition, that is, self-referential processing and perspective taking. However, it is currently unclear whether the same or different regions of the MPFC mediate these two interdependent processes. This functional magnetic resonance imaging study sought to clarify the issue by manipulating both dimensions in a factorial design. Participants judged the extent to which trait adjectives described their own personality (e.g., Are you sociable? ) or the personality of a close friend (e.g., Is Caroline sociable? ) and were also asked to put themselves in the place of their friend (i.e., to take a third-person perspective) and estimate how this person would judge the adjectives, with the target of the judgments again being either the self (e.g., According to Caroline, are you sociable? ) or the other person (e.g., According to Caroline, is she sociable? ). We found that self-referential processing (i.e., judgments targeting the self vs. the other person) yielded activation in the ventral and dorsal anterior MPFC, whereas perspective taking (i.e., adopting the other person's perspective, rather than one's own, when making judgments) resulted in activation in the posterior dorsal MPFC; the interaction between the two dimensions yielded activation in the left dorsal MPFC. These findings show that self-referential processing and perspective taking recruit distinct regions of the MPFC and suggest that the left dorsal MPFC may be involved in decoupling one's own from other people's perspectives on the self.
A compensation method of the offset thermal drift of sensor using the neural network algorithm

The problem of the offset thermal drift affects the measurement accuracy of pressure sensor in practical applications. To solve the problem, we proposed an approach of the non-linear compensation of pressure sensor using the neural network algorithm with Chebyshev basis functions. The convergence of the neural network algorithm is researched. To validate the validity of the algorithm, the example of the offset thermal drift compensation of the pressure sensor was given. The simulation result shows that the non-linear compensation approach using the neural network algorithm has high compensation accuracy. Therefore, the method of the non-linear compensation proposed is effective.
Real time object tracking to remove occlusion using OpenCV

Real time Object tracking is becoming a challenging ingredient in analysis of video imagery for efficient and robust object tracking. In this paper we presents a how to remove occlusion problem from real time video, removing occlusion from video is still a challenging part. Object tracking with sparse Prototypes, exploits both classic Principal Component Analysis (PCA) algorithms and sparse representation algorithms for learning appearance models. Here, regularization into the PCA reconstruction is introduced and this algorithm to represent an object by sparse prototypes that account precisely for data and noise is developed. In order to reduce tracking drift, a method that considers occlusion and motion blur into account rather than simply image observations for model update is given. The proposed tracking algorithm performs favorably against various methods that can be demonstrated by both qualitative and quantitative estimations on challenging image sequences. Index Terms— Object tracking, sparse prototype, Principle component analysis (PCA), L1 minimization, incremental visual tracking (IVT) and Compressive tracking ——————————  ——————————
Comparison between different adaptive pre-equalization approaches for wireless LAN

The IEEE 802.11a wireless LAN standard defines a high system performance and therefore requires a certain signal accuracy for the OFDM transmitter output. Taking the potential analog low pass, medium IF and RF filter imperfections into account, it is necessary to pre-equalize the signal stream digitally before transmitting. The paper concentrates on the description and comparison between different mathematical approaches for pre-equalization in an OFDM transmitter front-end architecture. For the favorite algorithm, the corresponding simulation results are presented.
PAPR reduction of an OFDM signal using sub-optimal PTS combined with guided scrambling

A high peak-to-average power ratio (PAPR) is one of the major shortcomings in multicarrier systems, as it causes nonlinearity distortion in the transmitter, degrading the performance of the system significantly. Partial transmit sequence (PTS) is an approach that can significantly improve the statistics of the PAPR of an orthogonal frequency division multiplexing (OFDM) signal. Guided scrambling is an extension of self-synchronizing scrambling. It is also capable of guiding the scrambling process to produce a balanced encoded bit stream. In this paper, we want to propose a sub-optimal algorithm to optimize the phase factor in PTS. In addition, we integrate guided scrambling coding with this method. The proposed GS-Sub-PTS method can get much more PAPR reduction at expense of incur little error extension and do not require transmission of side information.
Towards a Message-Driven Vocabulary for Promoting the Interoperability of Question Answering Systems

Question answering (QA) is one of the biggest challenges for making sense out of data. The Web of Data has attracted the attention of the QA community and recently, a number of schema-aware QA systems have been introduced. While research achievements are individually significant, yet, integrating different approaches is not possible due to lack of a systematic approach for conceptually describing QA systems. In this paper, we present a message-driven vocabulary built upon an abstract level. This vocabulary is concluded from conceptual views of different QA systems. In this way, we are enabling researchers and industry to implement message-driven QA systems and to reuse and extend different approaches without interoperability and extension concerns.
Collection, analysis and cryopreservation of semen from Malayan gaur (Bos gaurus hubbacki): A preliminary study

The Malayan gaur (Bos gaurus hubbacki) or Seladang is classified as vulnerable by the International Union for Conservation of Nature and Natural Resources (IUCN). The Malayan gaur is mainly distributed in the tropical woodlands of Peninsular Malaysia and Southern Thailand. The aim of this study was to collect, analyze and cryopreserve the semen of wild Malayan gaur. Transrectal massage (TM) and electroejaculation (EEJ) technique was applied in semen collection of the Malayan gaur. The semen was then cryopreserved in liquid nitrogen using slow freezing technique. Makler counting chamber was used to evaluate sperm concentration and motility, while the sperm viability and morphology of fresh and post-thaw sperm was determined using eosin-nigrosin staining protocol. As a result, we have successfully collected the Malayan gaur semen using EEJ technique. Sperm motility, viability and morphological changes of the post-thaw semen of Malayan gaur were found undesirable due to the complication of the cryopreservation process. On the basis of current study it can be concluded that Malayan gaur bulls semen can be obtain by EEJ with no evidence of rectal trauma. Optimization of the process of cryopreservation for Malayan gaur sperm is needed to maintain the cryoviability of the good sperm quality. The data generated in this study would be useful in conservation of genetic diversity program for Malayan gaur.
Developmental Cognitive Neuroscience Developmental Changes in Point-light Walker Processing during Childhood: a Two-year Follow-up Erp Study

Keywords: Point-light walker Biological motion Event-related potential (ERP) Longitudinal study Development Children a b s t r a c t Event-related potentials were measured in twenty-four children aged 6–15 years, at one-year intervals for two years, to investigate developmental changes in each subject's neural response to a point-light walker (PLW) and a scrambled PLW (sPLW) stimulus. One positive peak (P1) and two negative peaks (N1 and N2) were observed in both occipitotemporal regions at approximately 130, 200, and 300–400 ms. The amplitude and latency of the P1 component measured by the occipital electrode decreased during development over the first one-year period. Negative amplitudes of both N1 and N2, induced by the PLW stimulus , were significantly larger than those induced by the sPLW stimulus. Moreover, for the P1–N1 amplitude, the values for the eight-year-old children were significantly larger than those for the twelve-year-old children. N1 and N2 latency at certain electrodes decreased with age, but no consistent changes were observed. These results suggest that enhanced electrophysiological responses to PLW can be observed in all age groups, and that the early components were changed even over the course of a single year at the age of twelve.
A Multi-Object Tracking Algorithm based on Adaptive Pattern Matching and Offset Estimating

Tracking of moving multi-object is an important problem on computer vision and the key lies in the correct correspondence of these targets. This paper proposes a new tracking algorithm. Based on the correct recognition the tracking procedure adopts adaptive template matching algorithm in tracking window. And then the paper presents an integration emendation in order to locate missing targets and find the other targets position. The algorithm improves the speed and robust of tracking algorithm. And finally this paper gives the analysis of the experiment results of adaptive template matching tracking algorithm
Discovering and modeling open source software processes

Open source software (OSS) development is quickly gaining acceptance as a software production paradigm with hundreds of thousands of projects and millions of participants. Spanning almost forty years to Royce's waterfall model, software engineering literature has given us best practices for the processes associated with creating software products. Initial indications suggest that OSS projects may not employ software engineering processes as prescribed. Yet, many OSS projects have produced large-scale, widely adopted software systems. While research interest in OSS projects remains avid, few researchers have examined OSS processes. In this dissertation, I present a study to discover and model open source software processes.
Superheavy magnetic monopoles and main-sequence stars

The interactions of superheavy monopoles with stars of mass 0.6-25 solar masses are studied. It is shown that captured monopoles cluster near the stellar center, and that their contribution to the total stellar luminosity and their effects on the structure of stars will be unobservable as long as the flux is significantly below the Parker (1970, 1971) bound. It is suggested that all but the strongly magnetic stars will retain a substantial fraction of the monopoles they capture. 82 references.
Changing the Rules Midway: The Impact of Granting Alimony Rights on Existing and Newly Formed Partnerships

The paper analyzes the effect of a reform granting alimony rights to cohabiting couples in Canada, exploiting the fact that each province extended these rights in different years and required different cohabitation length. A theoretical analysis, based on a collective household model with a matching framework, predicts that changes in alimony laws would affect existing couples and couples to-be differently. For existing couples, legislative changes aimed at favoring (wo)men do benefit them, especially if the match quality is low. However, for couples not yet formed, they generate offsetting intra-household transfers (in our model, of leisure) and lower intra-marital allocations for the spouses who are the intended beneficiary. Our empirical analysis confirms these predictions. Among cohabiting couples united long enough before the reform, obtaining the right to petition for alimony led women to lower their labor force participation. These results, however, do not hold | and, in some cases, are reversed for newly formed cohabiting couples.
Climate suitability estimates offer insight into fundamental revegetation challenges among post-mining rehabilitated landscapes in eastern Australia

Rehabilitation of post-mining sites in semi-arid/subtropical environments of eastern Australia have a general objective to establish specific types of native vegetation communities as defined in mine closure plans and in relation to the specific biotic and abiotic requirements of such communities. Critical for the success of rehabilitation is the availability of water and hence the climatic characteristic of this geographical region which is defined by a number of weather-bound factors (e.g. potentially erratic rainfall and periods of drought and flooding). However, specific estimates of climate suitability are seldom incorporated into current mined land rehabilitation design. To address this, our analysis combined various broad-scale climatic parameters (i.e. primarily relating to rainfall) to assess bioregional suitability-susceptibility within the context of plant early-establishment in the objective of informing rehabilitation schemes as to the inherent environmental challenges influencing both short- and long-term ecological development. Following our survey of available climate data, we derived site suitability-susceptibility indexes (that are otherwise currently not available within rehabilitation schemes) and compared the performance of 9 mine site locations in which our Centre has been engaged in environmental monitoring (Weipa, Mt. Isa, Ernest Henry, Eromanga, Kidston, Curragh, Tarong, North Stradbroke Island, and Newnes Plateau). More specifically, the sites were ranked from most-to-least suitable and compared with natural vegetation patterns (as estimated by the mean NDVI). Overall, it was determined that regular rainfall and relatively short periods of water-deficit are key characteristics of climate suitability (as found among the relatively more temperate coastal-hinterland sites), whereas high rainfall variability and (or) prolonged seasonal drought are primary characteristics of unsuitability (as found among the arid central inland sites). Conceptual and practical considerations are provided which could inform rehabilitation schemes as to the inherent environmental challenges influencing both short- and long-term ecological development.