Miracle-dz/UniFAR-FTUs huggingface dataset:
Enabling Mixed OpenMP/MPI Programming on Hybrid CPU/GPU Computing Architecture

Hybrid CPU/GPU computing architecture recently has become an alternative platform for high performance computing. This architecture provides massive computational power with lower energy consumption and less economic cost than the traditional one using only CPUs. However, the complexity of the GPU programming is too high for users to move their applications toward this hybrid computing architecture. To resolve this problem, we propose a framework called OMPICUDA for users to develop parallel applications on the hybrid CPU/GPU clusters by mixing the APIs of OpenMP and MPI. Furthermore, this framework allows users to select GPUs or CPUs for the execution of different parallel regions in the same program according to the properties of the regions, and supports resource reallocation based on the states of CPUs and GPUs.
On the Intrinsic Fault-Tolerance Nature of Parallel Genetic Programming

In this paper we show how parallel genetic programming can run on a distributed system with volatile resources without any lack of efficiency. By means of a series of experiments, we test whether parallel GP - and consistently evolutionary algorithms - are intrinsically fault-tolerant. The interest of this result is crucial for researchers dealing with real-life problems in which parallel and distributed systems are required for obtaining results on a reasonable time. In that case, parallel GP tools will not require the inclusion of fault-tolerant computing techniques or libraries when running on meta-systems undergoing volatility, such us desktop grids offering public resource computing. We test the performance of the algorithm by studying the quality of solutions when running over distributed resources undergoing processors failures, when compared with a fault-free environment. This new feature, which shows its advantages, improves the dependability of the parallel genetic programming algorithm
Emancipatory social work with older people: challenging students to overcome the limitations of ageism and institutional oppression

Based on the Australian Bureau of Statistics’ (ABS) predictions, it is expected that 20 per cent of the Australian population will be over 65 years old by 2034 (McDonald, 2016: 65). This means that work with older people will continue to be an enormous area of growth for everyone working in human services or social policy development. To ensure that the attendant rapid growth in needs for care and other services does not result in increased marginalisation, social exclusion and oppression of this increasing demographic, social workers are well positioned to take a lead role in recognising and applying practices that do not oppress older people. It is the aim of this paper to explore how social work students can learn about practice and knowledge that aims to free older people from institutional and societal oppressions. Good practice and good policies in working with older people must be underpinned by strong theoretical understandings of the social, economic, institutional and legal consequences of becoming an older member of the community. Based on these concerns, this paper presents a specific, emancipatory social work framework for social work education about working with older people. As the length of this paper does not allow space to cover all aspects of this pedagogic approach, there will be a particular focus on two areas only, understanding ageism, and on emancipatory practice in aged care. The paper draws on the development and teaching, over a number of years, of a senior unit of study for final undergraduate social work students at the University of Sydney, who are near to completing their Bachelor of Social Work degree. This unit of study, ‘Ageing’, has been highly successful in influencing a significant shift in students’ attitudes toward older people and toward working with older people.
Stochastic model for curvilinear structure reconstruction using morphological profiles

In this work, we propose a stochastic model for curvilinear structure reconstruction using morphological profiles of path opening operator. We apply the support vector machine classifier to obtain initial probabilities to belong to line network for each pixel. Then, we formulate a stochastic optimization problem that detects line segments corresponding to the latent curvilinear structure in a scene. Experimental results on DNA filament and remote sensing images validate the effectiveness of the proposed algorithm when compared to other recent methods.
A Fast Method for H . 263 to H . 264 Intra Smart-Transcoding

The present paper concerns the reduction of computational burden on the estimation of prediction modes in Intra frame from H.263 to H.264 AVC streams transcoding process. Scope of this work is to achieve the possibility of communication between new and existing video coding systems that do not share the same codec, but they use different video codecs, e.g. videoconference and UMTS. Differences exist between the frequency domain prediction in H.263+ and the spatial domain prediction in H.264. Nevertheless these procedural differences, we will be able to use some useful information extracted from H.263+ bitstream to simplify H.264 Intra mode decision predictions. In this work we propose two new algorithms for the reuse of H.263+ prediction modes in H.264 Intra mode prediction. Performances of our algorithms are compared to the full transcoding approach in term of PSNR. Tests reveal an high correlation between PSNR scores with a residual error up to 0.1 dB. A 10% increase of the overall bitrate is revealed, but a 27% reduction of computational burden is also measured. H.263+, H.264 AVC, heterogeneous transcoder.
Mining characteristic multi-scale motifs in sensor-based time series

More and more, physical systems are being fitted with various kinds of sensors in order to monitor their behavior, health or intensity of use. The large quantities of time series data collected from these complex systems often exhibit two important characteristics: the data is a combination of various superimposed effects operating at different time scales, and each effect shows a fair degree of repetition. Each of these effects can be described by a small collection of motifs: recurring temporal patterns in the data. We propose a method to discover characteristic and potentially overlapping motifs at multiple time scales, taking into account systemic deformations and temporal warping. Our method is based on a combination of scale-space theory and the Minimum Description Length principle. We show its effectiveness on two time series datasets from real world applications.
Perceived Affect and Cognition as Antecedents to Advocacy

ii Acknowledgments. iv Vita . v List of Tables . vii List of Figures . viii Chapter 1: Introduction . 1 Chapter 2: Studies 1a and 1b . 19 Chapter 3: Study 2 . 32 Chapter 4: General Discussion. 41 References . 59 Appendix A: Measures . 74 Appendix B: Study 3 – Experimental Outline . 80 Appendix C: Factor Analysis . 83 Appendix D: Indirect vs. Direct by Proactive vs. Reactive . 88
A low power VLSI implementation for JPEG2000 codec

This paper proposed a low power VLSI implementation of JPEG2000 codec. Three power optimization schemes including gated clock, bus-invert and dual voltage scaling are adopted. An automated design flow for dual voltage scaling is also proposed. The JPEG2000 codec was fabricated in SMIC 0.18/spl mu/m 1P6M standard CMOS technology. And it is capable of JPEG2000 compression/decompression with a 1280/spl times/1024 pixel (YUV422 full color) at 20frames/s employing a 100MHz operating frequency. The power consumption is reduced by 54% and is 465mW @ 1.8V and 100 MHz.
Knowing What a User Likes: A Design Science Approach to Interfaces that Automatically Adapt to Culture

Adapting user interfaces to a user's cultural background can increase satisfaction, revenue, and market share. Conventional approaches to catering for culture are restricted to adaptations for specific countries and modify only a limited number of interface components, such as the language or date and time formats. We argue that a more comprehensive personalization of interfaces to cultural background is needed to appeal to users in expanding markets. This paper introduces a low-cost, yet efficient method to achieve this goal: cultural adaptivity. Culturally adaptive interfaces are able to adapt their look and feel to suit visual preferences. In a design science approach, we have developed a number of artifacts that support cultural adaptivity, including a prototype web application. We evaluate the efficacy of the prototype's automatically generated interfaces by comparing them with the preferred interfaces of 105 Rwandan, Swiss, Thai, and multicultural users. The findings demonstrate the feasibility of providing users with interfaces that correspond to their cultural preferences in a novel yet effective manner.
Extrinsic Subclavian Vein Compression after Osteosynthesis of a Midshaft Clavicular Fracture in an Athlete

Clavicle fractures are common injuries. Traditionally, nonsurgical management has been favored; however, recent evidence has emerged indicating that operative fixation produces lower nonunion rates, better functional outcomes, improved cosmesis, and greater patient satisfaction. Although clavicle fixation has been considered a safe procedure, several complications related to plate fixation have been reported. We report a case of a 21-year-old basketball player that had a vascular complication associated with internal fixation of a clavicle fracture. An external compression of the subclavian vein was attributed to a long screw of a precontoured clavicular plate. Although vascular complications associated with clavicle fixation are rare, they may be limb and even life threating. It is advisable that surgeons take measures to avoid them especially when placing the medial screws.
Central Matter Distributions in Rich Clusters of Galaxies from z~0 to z~0.5

We have analyzed the galaxy number density and luminosity density profiles of rich clusters of galaxies from redshifts z=0 to z=0.5. We show that the luminosity profile computed with bright galaxies is significantly cusped in the center of the clusters, whatever the redshift. This is in agreement with the dark matter profiles predicted by numerical simulations. The galaxy number density profile for the bright galaxies is fitted equally well with a core model or a cusped model. In contrast, the luminosity and the galaxy number density profiles of the fainter galaxies are significantly better fitted by a core rather than a cusp model. We did not detect any statistically significant different fits when applied to data in range from z=0 to z=0.5. The difference in profile between faint and bright galaxies may be due to the rapid (relative to the age of the universe at z=0 versus z=0.5) destruction of the faint galaxies by tidal forces and merging events in the denser central regions of the clusters. This process could erase the cusp by turning faint galaxies into diffuse light. In this case, the galaxies (with a cusp visible in the bright galaxy number density and mainly in luminosity profiles) would trace the total mass distribution.
Noninvasive Assessment of the Digital Volume Pulse: Comparison With the Peripheral Pressure Pulse

The digital volume pulse can be recorded simply and noninvasively by photoplethysmography. The objective of the present study was to determine whether a generalized transfer function can be used to relate the digital volume pulse to the peripheral pressure pulse and, hence, to determine whether both volume and pressure pulse waveforms are influenced by the same mechanism. The digital volume pulse was recorded by photoplethysmography in 60 subjects (10 women, aged 24 to 80 years), including 20 subjects with previously diagnosed hypertension. Simultaneous recordings of the peripheral radial pulse and digital artery pulse were obtained by applanation tonometry and a servocontrolled pressure cuff (Finapres), respectively. In 20 normotensive subjects, measurements were obtained after the administration of nitroglycerin (NTG, 500 &mgr;g sublingually). Transfer functions obtained by Fourier analysis of the waveforms were similar in normotensive and hypertensive subjects. In normotensive subjects, transfer functions were similar before and after NTG. By use of a single generalized transfer function for all subjects, the radial and digital artery pressure waveforms could be predicted from the volume pulse with an average root mean square error of 4.4±2.0 and 4.3±1.9 mm Hg (mean±SD) for radial and digital artery waveforms, respectively, similar to the error between the 2 pressure waveforms (4.4±1.4 mm Hg). The peripheral pressure pulse is related to the digital volume pulse by a transfer function, which is not influenced by effects of hypertension or NTG. Effects of NTG on the volume pulse and pressure pulse are likely to be determined by a similar mechanism.
Organizing multimodal perception for autonomous learning and interactive systems

A stable perception of the environment is a crucial prerequisite for researching the learning of semantics from human-robot interaction and also for the generation of behavior relying on the robots perception. In this paper, we propose several contributions to this research field. To organize visual perception the concept of proto-objects is used for the representation of scene elements. These proto-objects are created by several different sources and can be combined to provide the means for interactive autonomous behavior generation. They are also processed by several classifiers, extracting different visual properties. The robot learns to associate speech labels with these properties by using the outcome of the classifiers for online training of a speech recognition system. To ease the combination of visual and speech classifier outputs, a necessity for the online training and basis for future learning of semantics, a common representation for all classifier results is used. This uniform handling of multimodal information provides the necessary flexibility for further extension. We will show the feasibility of the proposed approach by interactive experiments with the humanoid robot ASIMO.
A Study on the Implementation of RFID-Based Autonomous Navigation System for Robotic Cellular Phone (RCP)

Industrial and economical importance of CP(Cellular Phone) is growing rapidly. Combined with IT technology, CP is one of the most attractive technologies of today. However, unless we find a new breakthrough in the technology, its growth may slow down soon. RT(Robot Technology) is considered one of the most promising next generation technologies. Unlike the industrial robot of the past, today`s robots require advanced features, such as soft computing, human-friendly interface, interaction technique, speech recognition object recognition, among many others. In this paper, we present a new technological concept named RCP (Robotic Cellular Phone) which integrates RT and CP in the vision of opening a combined advancement of CP, IT, and RT, RCP consists of 3 sub-modules. They are (RCP Mobility System), , and . The main focus of this paper is on which combines an autonomous navigation system of the RT mobility with CP. Through , we are able to provide CP with robotic functions such as auto-charging and real-world robotic entertainment. Ultimately, CP may become a robotic pet to the human beings. consists of various controllers. Two of the main controllers are trajectory controller and self-localization controller. While the former is responsible for the wheel-based navigation of RCP, the latter provides localization information of the moving RCP With the coordinates acquired from RFID-based self-localization controller, trajectory controller refines RCP`s movement to achieve better navigation. In this paper, a prototype of is presented. We describe overall structure of the system and provide experimental results on the RCP navigation.
Using DInSAR, airborne LiDAR, and archival air photos to quantify landsliding and sediment transport

We demonstrate the ability of coupled remote sensing tools to characterize large, slow‐moving landslides in the Eel River catchment, northern California. From a stack of ALOS interferograms, we identified 5 large (>1 km long) landslides that exhibited significant activity from February 2007 to February 2008. For the Boulder Creek earthflow, we used orthorectified air photos taken in 1964 and unfiltered airborne LiDAR flown in 2006 to map the displacement of trees growing on the landslide surface. Combining those displacement orientations with stacked DInSAR data, we observed average downslope velocities of 0.65 m yr−1 through the central transport zone of the landslide. Given landslide depth estimates, minimum sediment transport and denudation rates are estimated to be 4100 m3 yr−1 and 1.6 mm yr−1, respectively. Our results demonstrate the highly erosive role of large, slow‐moving landslides in landscape evolution and suggest that the superposition of dense, ephemeral gully networks and rapidly moving zones within the landslide may facilitate delivery of slide‐mobilized sediment into adjacent fluvial channels.
Improving Multifrontal Methods by Means of Block Low-Rank Representations

Matrices coming from elliptic Partial Differential Equations (PDEs) have been shown to have a low-rank property: well defined off-diagonal blocks of their Schur complements can be approximated by low-rank products. Given a suitable ordering of the matrix which gives to the blocks a geometrical meaning, such approximations can be computed using an SVD or a rank-revealing QR factorization. The resulting representation offers a substantial reduction of the memory requirement and gives efficient ways to perform many of the basic dense algebra operations. Several strategies have been proposed to exploit this property. We propose a low-rank format called Block Low-Rank (BLR), and explain how it can be used to reduce the memory footprint and the complexity of direct solvers for sparse matrices based on the multifrontal method. We present experimental results that show how the BLR format delivers gains that are comparable to those obtained with hierarchical formats such as Hierarchical matrices (H matrices) and Hierarchically Semi-Separable (HSS matrices) but provides much greater flexibility and ease of use which are essential in the context of a general purpose, algebraic solver.
Philosophy and Post-Totalitarian Practices

This writing aims to outline the principles of researches on philosophy in Central and Eastern European countries, preferably USSR, in the latest soviet and post-soviet periods. In author’s opinion, the crucial points for such kind of research are: a) to discover a correlation between philosophy and the phenomenon of totalitarianism; b) to correlate a soviet philosophy with totalitarian experience. The article considers methodological and axiological problems in research of post-totalitarian practices in general as such as in philosophy. In author’s opinion the main problem in development of the post-soviet philosophy is interiorisation of intellectual, cultural and social practices, which were formed concerning to totalitarian experience. This became a reason of “cynicism” and “nihilism” of post-soviet philosophy. It’s impossible to cast mentioned phenomena off without consideration of totalitarian phenomenon and critical reconsideration of the own totalitarian experience.
A Novel Track-before-Detect Algorithm for Small Dim Infrared Target

A novel track-before-detect filtering algorithm is proposed for small dim infrared targets with low signal-to-noise ratio under complex backgrounds. A new particle filter called Quasi-Monte Carlo sampling based Gaussian particle filter(QMC-GPF) is developed to estimate on-line the standard kinematic parameters of the target, including position and velocity, as well as the amplitude of the target. The convergence characteristic of the covariance matrix of the posterior densities propagated in the QMC-GPF is used to determine whether it is the true target. The algorithm is tested with a synthetic target in IR image sequences, and it is proved that the algorithm is capable of performing sufficiently well for dim target of SNR¨R1dB.
Efficient unsupervised learning

The efficiency of learning from unclassified data (unsupervised learning) is examined by constructing a framework similar in style to the recent work on supervised concept learning inspired by Valiant. We define the framework and illustrate it with results on three model classes. The framework is compared to both the supervised learnability model and other models of unsupervised learning.
Joe-E: A Security-Oriented Subset of Java

We present Joe-E, a language designed to support the development of secure software systems. Joe-E is a subset of Java that makes it easier to architect and implement programs with strong security properties that can be checked during a security review. It enables programmers to apply the principle of least privilege to their programs; implement application-specific reference monitors that cannot be bypassed; introduce and use domain-specific security abstractions; safely execute and interact with untrusted code; and build secure, extensible systems. Joe-E demonstrates how it is possible to achieve the strong security properties of an object-capability language while retaining the features and feel of a mainstream object-oriented language. Additionally, we present ways in which Java’s static type safety complements object-capability analysis and permits additional security properties to be verified statically, compared with previous object-capability languages which rely on runtime checks. In this paper, we describe the design and implementation of Joe-E and its advantages for security and auditability over standard Java. We demonstrate how Joe-E can be used to develop systems with novel security properties that would be difficult or impossible to ensure otherwise, including a web application platform that provides transparent, transactional object persistence and can safely host multiple mutually-distrustful applications in a single JVM.
Advanced Wavelength Reservation Method Based on Deadline-Aware Scheduling for Lambda Grid Networks

A deadline-aware-scheduling scheme for the lambda grid system is proposed to support a huge computer grid system based on an advanced photonic network technology. The assignment of wavelengths to jobs in order to efficiently carry various services is critical in lambda grid networks. Such services have different requirements such as the job-completion deadlines, and wavelength assignment must consider the job deadlines. The conventional job scheduling approach assigns a lot of time slots to a call within a short period in order to finish the job as quickly as possible. This raises the blocking probability of short deadline calls. Our proposal assigns wavelengths in the lambda grid networks to meet quality-of-services guarantees. The proposed scheme assigns time slots to a call over time according to its deadline, which allows it to increase the system performance in handling short deadline calls, for example, lowering their blocking probability. Computer simulations show that the proposed scheme can reduce the blocking probability by a factor of 100 compared with the conventional scheme under the low load condition in which the ratio of long deadline calls is high. The proposed scheduling scheme can realize more efficient lambda grid networks.