Miracle-dz/UniFAR-FTUs huggingface dataset:
An adaptive bloom filter cache partitioning scheme for multicore architectures

This paper investigates the problem of partitioning the last-level shared cache of multicore architectures. Contention for such a shared resource has been shown to severely degrade performance when running multiple applications. As architectures incorporate more cores, multiple application workloads become increasingly attractive, further exacerbating contention at the last-level cache. Today, cache replacement policies, extensively studied for uniprocessor systems, are being employed within new multicore architectures with little, if any, adaptation. However the parameters in these new systems are likely to be different. The least recently used (LRU) policy, for example, which is widely accepted as the best replacement policy in uniprocessor caches, often results in poor resource sharing in a multicore system, signalling the importance of reevaluating the effectiveness of these policies in the new architectures. This paper proposes adaptive bloom filter cache partitioning (ABFCP), a low-cost, dynamic cache partitioning mechanism capable of better resource sharing at the last-level cache than LRU, improving the performance of an eight-core system on average by 5.92% over the LRU policy. Moreover, the proposed scheme provides the equivalent performance benefits that could be gained from almost a 50% increase in the last-level cache and shows increasing benefit as the number of cores rises.
Application of unexpectedness to the behavioral design of an entertainment robot

The objectives of this study are to apply unexpectedness to the behavioral design of an entertainment robot and to evaluate the impression and satisfaction provided by the robot. Participants(N=44) observed four robot behaviors, which are distinguished by type of expectancy disconfirmation (positive disconfirmation, negative disconfirmation, simply confirmation, unexpected disconfirmation), and evaluated each behavior in terms of novelty, enjoyment, satisfaction, performance, and reliability. Participants perceived the unexpected disconfirmation behavior to be more novel and enjoyable such that they preferred this type over the other types. On the other hand, they evaluated the positive disconfirmation behavior as more intelligent and reliable than the other types. These findings will provide an essential basis for designing the behavior of an entertainment robot with the use of unexpectedness.
Development of Hand Gesture Recognition Framework Using Surface EMG and Accelerometer Sensor for Mobile Devices

For any gesture recognition framework to work dictionary of gesture is to be made. The dictionary can be divided scale viz., small scale gesture and large scale gesture. We need to make use of sensor to recognize the gesture on the basis of assembled dictionary. The analog data from the sensor is provided to the microcontroller to be processed. The processed data is then transferred to the mobile device through the Bluetooth module. The gesture recognising sensor is connected to the microcontroller through one Bluetooth module and the microcontroller and mobile device is connected to the other Bluetooth module. Making use of the gesture recognition framework mobile device can make a call, receive a call, take a picture and receive a text. The recognition of the gesture is done in three axial (x, y, z) manner. For sensing, two potential technology are used which are surface Electromyography (SEMG) and Accelerometer sensor. We proposed a three axis accelerometer are being increasingly embedded into many personal electronic devices like the Apple i-phone, Apple i-pod touch, Apple i-pad and Lenovo laptop. In this paper a survey of recent hand gesture recognition framework is
A Distributed Consensus-Based Cooperative Spectrum-Sensing Scheme in Cognitive Radios

In cognitive radio (CR) networks, secondary users can cooperatively sense the spectrum to detect the presence of primary users. In this paper, we propose a fully distributed and scalable cooperative spectrum-sensing scheme based on recent advances in consensus algorithms. In the proposed scheme, the secondary users can maintain coordination based on only local information exchange without a centralized common receiver. Unlike most of the existing decision rules, such as the or-rule or the 1-out-of-N rule, we use the consensus of secondary users to make the final decision. Simulation results show that the proposed consensus scheme can have significant lower missing detection probabilities and false alarm probabilities in CR networks. It is also demonstrated that the proposed scheme not only has proven sensitivity in detecting the primary user's presence but also has robustness in choosing a desirable decision threshold.
VISUALIZATION AND ANALYSIS OF LIGHT POLLUTION: A CASE STUDY IN HONG KONG

The effects of light pollution problems in metropolitan areas are investigated in this study. Areas of Hong Kong are used as the source of three typical study cases. One case represents the regional scale, a second represents the district scale, and a third represents the street scale. Two light pollution parameters, Night Sky Brightness (NSB) and Street Light Level (SLL), are the focus of the analyses. Light pollution visualization approaches in relation to the different scales include various light pollution maps. They provide straightforward presentations of the light pollution situations in the study areas. The relationship between light pollution and several social-economic factors such as land use, household income, and types of outdoor lighting in the scale areas given, are examined. Results show that: (1) Land use may be one factor affecting light pollution in the regional scale; (2) A relatively strong correlation exists between light pollution and household income in the district scale; (3) The heaviest light pollution in the street scale is created by spotlights and also the different types of lighting from shops. The impact of the latter is in relation to the shop profile and size.
A Qualitative Investigation of Australian Young Adult Responses to Pictorial and Graphic Alcohol Product Warnings

This qualitative study aimed to understand whether pictorial and graphic alcohol warnings would be an effective intervention to reduce alcohol-related harms among young adult drinkers. Four focus groups (n = 26) were conducted examining impressions, reactions, and thoughts about five pictorial warnings and five graphic warnings. Students (58% female) from Melbourne, Australia, aged 18 to 25 years who consumed alcohol participated. The warnings used in this study elicited strong negative emotional reactions, including avoidance. While the use of images increased the salience of the warnings, participants discussed the likelihood of habituation, indicating warning rotation is needed. Targeted messages and statistics appealed to the participants. However, they were unlikely to change their drinking behavior due to the warnings. Consistent with tobacco warning literature, and in line with behavior change and message persuasion theory, warning labels with photographic images and targeted statistics were found to have the most persuasive impact against risky drinking within this sample.
Separated-occurrence inequalities for dependent percolation and Ising models

Separated-occurrence inequalities are variants for dependent lattice models of the van den Berg-Kesten inequality for independent models. They take the form $P(A \circ_r B) \leq (1 + ce^{-\epsilon r})P(A)P(B)$, where $A \circ_r B$ is the event that $A$ and $B$ occur at separation $r$ in a configuration $\omega$, that is, there exist two random sets of bonds or sites separated by at least distance $r$, one set responsible for the occurrence of the event $A$ in $\omega$, the other for the occurrence of $B$. We establish such inequalities for certain subcritical FK models, and for certain Ising models which are at supercritical temperature or have an external field, with $A$ and $B$ increasing or decreasing events.
Rapid detection and differentiation of human pathogenic orthopox viruses by a fluorescence resonance energy transfer real-time PCR assay.

BACKGROUND The orthopox viruses that are pathogenic for humans include variola major virus (VAR), monkeypox virus (MPV), cowpox virus (CPV), and to a lesser extent, camelpox virus (CML) and vaccinia virus (VAC). PCR is a powerful tool to detect and differentiate orthopox viruses, and real-time PCR has the further advantages of rapid turnaround time, low risk of contamination, capability of strain differentiation, and use of multiplexed probes. METHODS We used real-time PCR with fluorescence resonance energy transfer technology to simultaneously detect and differentiate VAR, MPV, CPV/VAC, and CML. An internal control generated by cloning and mutating the PCR target gene facilitated monitoring of PCR inhibition in each individual test reaction. RESULTS Strain differentiation results showed little interassay variability (CV, 0.4-0.6%), and the test was 100-fold more sensitive than virus culture on Vero cells. Low copy numbers of DNA could be detected with > or =95% probability (235-849 genome copies/mL of plasma). CONCLUSIONS The real-time PCR assay can detect and differentiate human pathogenic orthopox viruses. The use of an internal control qualifies the assay for high sample throughput, as is likely to be needed in situations of suspected acts of biological terrorism, e.g., use of VAR.
Local enumeration techniques for sparse algorithms

Several methods have been proposed in the literature for the local enumeration of dense references for arrays distributed by the CYCLIC(k) data-distribution in High Performance Fortran. These methods deal only with loops without any irregular references. However existing techniques are not enough when the code includes sparse references. In this work, some methods for enumeration of references are proposed and tested for some linear sparse algebra algorithms. We use the BRS(k) distribution for sparse matrices, which is a generalization of the dense CYCLIC(k) distribution. Efficiency evaluation for the proposed methods has been performed on different processors.
How rewarding is technical analysis? Evidence from Singapore stock market

This paper focuses on the role of technical analysis in signalling the timing of stock market entry and exit. Test statistics are introduced to test the performance of the most established of the trend followers, the Moving Average, and the most frequently used counter-trend indicator, the Relative Strength Index. Using Singapore data, the results indicate that the indicators can be used to generate significantly positive return. It is found that member firms of Singapore Stock Exchange (SES) tend to enjoy substantial profits by applying technical indicators. This could be the reason why most member firms do have their own trading teams that rely heavily on technical analysis.
Lens binarity versus limb darkening in close-impact galactic microlensing events

Although point caustics harbour a larger potential for measuring the brightness profile of stars during the course of a microlensing event than (line-shaped) fold caustics, the effect of lens binarity significantly limits the achievable accuracy. Therefore, corresponding close-impact events make a less favourable case for limb-darkening measurements than those events that involve fold-caustic passages, from which precision measurements can easily and routinely be obtained. Examples involving later Bulge giants indicate that a ∼10 per cent misestimate on the linear limb-darkening coefficient can result with the assumption of a single-lens model that looks acceptable, unless the precision of the photometric measurements is pushed below the 1 per cent level even for these favourable targets. However, measurement uncertainties on the proper motion between lens and source are dominated by the assessment of the angular radius of the source star, and remain practically unaffected by lens binarity. Rather than judging the goodness of fit by means of a X 2 test only, run tests provide useful additional information that can lead to the rejection of models and the detection of lens binarity in close-impact microlensing events.
A computational model for heart failure stratification

Heart failure (HF) is a kind of serious cardiovascular diseases, leading to an increasing burden imposed on public healthcare. Early diagnosis and proper treatment of HF are essential to reducing its morbidity and mortality. In spite of the implementation of clinical guidelines for HF, early recognition and stratification of HF risk remain unsolved. In this work, we supposed a computational model to classify HF stages. With aid of Monte Carlo simulation, Naïve Bayesian Classifier (NBC), Support Vector Machine (SVM) and Radial Basis Function Network (RBF) etc. models were investigated. On the basis of the model assessment, an optimum classification model constitutive of SVM was derived. The model was tested on 389 subjects. The results show that 81.06% cases in total are consistent with the outcomes by AHA/ACC staging system. This work may offer a quantitative tool for HF stratification and facilitate early diagnosis for HF.
TWO SUPER-EARTHS ORBITING THE SOLAR ANALOG HD 41248 ON THE EDGE OF A 7:5 MEAN MOTION RESONANCE

There are a growing number of multi-planet systems known to be orbiting their host stars with orbital periods that place them in mean motion resonances (MMRs). These systems are generally in first-order resonances and dynamical studies have focused their efforts on understanding the origin and evolution of such dynamically resonant commensurabilities. Here we report the discovery of two super-Earths that are close to a second-order dynamical resonance orbiting the metal-poor ([Fe/H] = −0.43 dex) and inactive G2V star HD 41428. We analyzed 62 HARPS archival radial velocities for this star that, until now, exhibited no evidence for planetary companions. Using our new Bayesian Doppler signal detection algorithm, we find two significant signals in the data, with periods of 18.357 days and 25.648 days, indicating they could be part of a 7:5 second-order MMR. Both semi-amplitudes are below 3 m s−1 and the minimum masses of the pair are 12.3 and 8.6 M⊕, respectively. Our simulations found that apsidal alignment stabilizes the system, and even though libration of the resonant angles was not seen, the system is affected by the presence of the resonance and could still occupy the 7:5 commensurability, which would be the first planetary configuration in such a dynamical resonance. Given the multitude of low-mass multi-planet systems that will be discovered in the coming years, we expect that more of these second-order resonant configurations will emerge from the data, highlighting the need for a better understanding of the dynamical interactions between forming planetesimals.
Small-Graph Matching and Building Genotypes

This paper introduces a new method, known as small-graph matching, and demonstrates how it may be used to determine the genotype signature of a sample of buildings. First, the origins of the method and its relationship to other ‘similarity’ testing techniques are discussed. Then the range of possible actions and transformations are established through the creation of a set of rules. The next section of the paper suggests which real-world actions would be represented by such transformations, were the graph representing a building. By considering the real-world equivalent actions, as opposed to transformations at the level of the graph abstraction, a system of costs or weightings is developed and subsequently applied to the range of possible actions. Next, in order to fully explain this method, a technique of normalizing the similarity measure is presented in order to permit the comparison of graphs of differing magnitude. The last stage of this method is presented, this being the comparison of all possible graph pairs within a given sample and the mean distance calculated for all individual graphs. This results in the identification of a genotype signature. Finally, the paper presents an empirical application of this method and shows how effective it is, not only for the identification of a building genotype, but also for assessing the homogeneity of a sample or subsamples.
Convex Point Estimation using Undirected Bayesian Transfer Hierarchies

When related learning tasks are naturally arranged in a hierarchy, an appealing approach for coping with scarcity of instances is that of transfer learning using a hierarchical Bayes framework. As fully Bayesian computations can be difficult and computationally demanding, it is often desirable to use posterior point estimates that facilitate (relatively) efficient prediction. However, the hierarchical Bayes framework does not always lend itself naturally to this maximum a-posteriori goal. In this work we propose an undirected reformulation of hierarchical Bayes that relies on priors in the form of similarity measures. We introduce the notion of "degree of transfer" weights on components of these similarity measures, and show how they can be automatically learned within a joint probabilistic framework. Importantly, our reformulation results in a convex objective for many learning problems, thus facilitating optimal posterior point estimation using standard optimization techniques. In addition, we no longer require proper priors, allowing for flexible and straightforward specification of joint distributions over transfer hierarchies. We show that our framework is effective for learning models that are part of transfer hierarchies for two real-life tasks: object shape modeling using Gaussian density estimation and document classification.
Polling systems with two alternating weary servers

We introduce and study cyclic polling systems in which service times of customers increase after the completion of each cycle due to increased tiredness of the server. To prevent the system from exploding, the server must be deactivated to regain (some or all of) its efficiency while another server takes its place. Performing a ”change of guard” takes some additional random time. This requires the determination of a ”swapping policy” between the two servers. We model such systems under the gated, exhaustive, and globally-gated service regimes. In the case of swapping policies which call for a swap at the end of every fixed number of cycles, we show that, contrary to classical polling systems, the stability condition for the exhaustive regime differs from its counterpart for the gated regime. A single queue case with identical servers is further studied and analyzed. Assuming stability we show that, in the latter case, the maximal number of consecutive cycles a server can serve without resting under the gated regime is approximately double than that under the exhaustive regime. In addition, we construct an algorithm to obtain an optimal swapping policy for the case where two identical servers alternate every fixed number of cycles in a system operating under the exhaustive service regime.
The capacity to form H-DNA cannot substitute for GAGA factor binding to a (CT)n*(GA)n regulatory site.

Previous studies of the Drosophila melanogaster hsp26 gene promoter have demonstrated the importance of a homopurine*homopyrimidine segment [primarily (CT)n*(GA)n] for chromatin structure formation and gene activation. (CT)n regions are known to bind GAGA factor, a dominant enhancer of PEV thought to play a role in generating an accessible chromatin structure. The (CT)n region can also form an H-DNA structure in vitro under acidic pH and negative supercoiling; a detailed map of that structure is reported here. To test whether the (CT)n sequence can function through H-DNA in vivo, we have analyzed a series of hsp26-lacZ transgenes with altered sequences in this region. The results indicate that a 25 bp mirror repeat within the homopurine.homopyrimidine region, while adequate for H-DNA formation, is neither necessary nor sufficient for positive regulation of hsp26 when GAGA factor-binding sites have been eliminated. The ability to form H-DNA cannot substitute for GAGA factor binding to the (CT)n sequence.
Determination of Hollow Cathode Plasma Contactor System Requirements using an Electrodynamic Tether System Simulation Tool

No. # 121 Determination of Hollow Cathode Plasma Contactor System Requirements using an Electrodynamic Tether System Simulation Tool One application of bare electrodynamic tether systems is to deorbit spent satellites and debris from Low-Earth Orbit. In these systems a hollow cathode plasma contactor sub-system is used to form a plasma bridge between one end of the tether and the space plasma in the ionosphere. The electrical contact function is vital to the operation of a bare electrodynamic tether system and poor system performance results when the bias voltage between the contactor and space plasma is a significant fraction of the tether electromotive force. Specifically, the plasma contactor bias voltage can affect deorbit time, overall system mass, and impose requirements that complicate the operation of the system. A design-decision-support tool, SimBETS, is used to perform studies by varying plasma cathode bias voltage, satellite mass, orbital inclination, tether length, and tether width. The results are used to define plasma contactor system requirements specific to the characteristics of the debris and tether. Insights gained from the studies show longer deorbit missions force the use of larger plasma contactor sub-systems that must be operated for longer durations, which is especially true for low tether emf conditions that are encountered in orbits with large inclination. Fluctuations in operating parameters are predicted by SimBETS due to changes in plasma density and magnetic field that occur on every orbit and as a function of altitude during a mission. For example, an equatorial orbit using a 10-km long, 2-cm wide, 50micron thick tether generates an average current of ~7A with a peak-to-peak variation of ~4 A at an altitude of 300 km. The peak tether current determines the design of the hollow cathode device, and the minimum tether current and hollow cathode design in combination determine the auxiliary power requirements of the plasma contactor. In turn, the auxiliary power requirements can affect system complexity by requiring the use of batteries and energy harvesting subsystems. One example is the need to power externally the plasma contactor during periods when the tether current is below 1 A. Finally, the overall mission time determines the amount of expellant that is needed, and a model is presented that predicts expellant mass and tank size for a given mission. Keywords—hollow cathode, plasma contactor, electrodynamic tether, system study, space debris, deorbit, simulation, and