Miracle-dz/UniFAR-FTUs huggingface dataset:
A Hardware-Software Integrated Design for a High-Performance Java Processor

Today object-oriented programming (OOP) is becoming more and more popular than ever, due to Internet and network computing, and need for resource sharing. Java becomes attractive because of its appealing features such as platform independence and code reusability. However, Java has lower performance than conventional programming languages due to its real-time execution overheads in the layer of Java Virtual Machine (JVM). With increasing performance through higher clock speed or multi-cores, software virtual machines are still needed to run on top of the operating system to execute Java, reducing the effect of the hardware performance improvements. This research proposes a high-performance computer architecture with hybrid system co-design for Java processing. Our FPGA model implemented in VHDL, jHISC, originates hardware support for object-oriented bytecodes, object referencing and method invocation. Moreover, baseline compiler is developed to construct the core structure and to ensure the architecture compatible to the JVM specifications. The project is at present version 4, which is target for mobile and embedded computing. Comparing with the products by Sun Microsystems through evaluation based on SPEC JVM98 benchmark, jHISC V4.0 provide overall performance gain of around 137% over HotSpot JVM and 102% to 1351% over picoJava II.
FAT DYNAMICS OF ARCTIC-NESTING SANDPIPERS DURING SPRING IN MID-CONTINENTAL NORTH AMERICA

Abstract We measured fresh body mass, total body fat, and fat-free dry mass (FFDM) of three species of Arctic-nesting calidrid sandpipers (Baird's Sandpiper [Calidris bairdii], hereafter “BASA”; Semipalmated Sandpiper [C. pusilla], hereafter “SESA”; and White-rumped Sandpiper [C. fuscicollis], hereafter “WRSA”) during spring stopovers in the Prairie Pothole Region (PPR) of North Dakota, and evaluated the contribution of stored fat to (1) energy requirements for migration to their Arctic-breeding grounds and (2) nutrient needs for reproduction. All spring migrant WRSA (n = 124) and BASA (n = 111), and all but 2 of 99 SESA we collected were ≥2 years old. Male and female BASA migrated through North Dakota concurrently, male SESA averaged earlier than females, and WRSA males preceded females. Fat indices (ratio of fat to FFDM) of male and female SESA and WRSA averaged approximately twice those of male and female BASA. Total body fat of male and female BASA increased with date in spring 1980, but not in 1981; slopes were similar for both sexes each year. Male and female SESA arrived lean in 1980 and 1981, and total body fat increased with date in both years, with similar slopes for all combinations of sex and year. Male and female WRSA arrived lean in 1980–1981 and 1981, respectively, and total body fat increased with date, whereas females arrived with fat reserves already acquired in 1980. Interspecific and sex differences in migration schedules probably contributed to variation in fat storage patterns by affecting maintenance energy costs and food availability. Estimated flight ranges of BASA suggest that few could have met their energy needs for migration to the breeding grounds exclusively from fat stored by the time of departure from North Dakota. Estimated flight ranges of SESA and WRSA, along with fresh body masses of both species when live-trapped on or near their breeding grounds in northern Canada, suggest that major parts of both populations stored adequate fat by departure from temperate mid-continental North America to meet their energy requirements for migration and part of their nutrient needs for reproduction. Dinámica de la Grasa en Chorlos que Nidifican en el Ártico durante la Primavera en el Área Continental Central de América del Norte
Encouraging Diversity- and Representation-Awareness in Geographically Centralized Content

In centralized countries, not only population, media and economic power are concentrated, but people give more attention to central locations. While this is not inherently bad, this behavior extends to micro-blogging platforms: central locations get more attention in terms of information flow. In this paper we study the effects of an information filtering algorithm that decentralizes content in such platforms. Particularly, we found that users from non-central locations were not able to identify the geographical diversity on timelines generated by the algorithm, which were diverse by construction. To make users see the inherent diversity, we define a design rationale to approach this problem, focused on the treemap visualization technique. Then, we deployed an" in the wild" implementation of our proposed system. On one hand, we found that there are effects of centralization in exploratory user behavior. On the other hand, we found that the treemap was able to make users see the inherent geographical diversity of timelines. We measured these effects based on how users engaged with content filtered by the algorithm. With these results in mind, we propose practical actions for micro-blogging platforms to account for the differences and biased behavior induced by centralization.
On the ergodic performance of a simple closed-loop spatial multiplexing architecture

We investigate a closed-loop spatial multiplexing architecture with linear array signal processing, which can be combined with off-the-shelf single-input single-output encoders/decoders. Rather than resorting to sophisticated interference cancellation schemes, excessive noise amplification due to ill-conditioned multiple-input multiple-output (MIMO) channels is evaded by retransmission of signal parts in critical subspaces, facilitated by a low-rate feedback channel. This lets the great capacities of MIMO channels be capitalized on with low system complexity, without requiring channel state information at the transmitter end. The closed-loop architecture involves a reverse propagation of the noise power, which we study using the theory of Markov chains. Conditions are defined under which stationarity is attained, considering both infinite and finite-rate feedback, and the constrained ergodic capacity of the system is expressed. It turns out that in the case of an (8 times 8) MIMO channel with uncorrelated Rayleigh fading, the constrained capacity comes as close as 4 dB to the unconstrained ergodic MIMO capacity.
A Modified PSO Algorithm with Line Search

Recently Particle Swarm Optimization (PSO) algorithm gained popularity and employed in many engineering applications because of its simplicity and efficiency. The performance of the PSO algorithm can further be improved by using hybrid techniques. There are various hybrid PSO algorithms published in the literature where researchers combine the benefits of PSO with other heuristics algorithms. In this paper, we propose a cooperative line search particle swarm optimization (CLS-PSO) algorithm by integrating local line search technique and basic PSO (B-PSO). The performance of the proposed hybrid algorithm, examined through four typically nonlinear optimization problems, is reported. Our experimental results show that CLS-PSO outperforms basic PSO.
Water Body Distributions Across Scales: A Remote Sensing Based Comparison of Three Arctic Tundra Wetlands

Water bodies are ubiquitous features in Arctic wetlands. Ponds, i.e., waters with a surface area smaller than 104 m2, have been recognized as hotspots of biological activity and greenhouse gas emissions but are not well inventoried. This study aimed to identify common characteristics of three Arctic wetlands including water body size and abundance for different spatial resolutions, and the potential of Landsat-5 TM satellite data to show the subpixel fraction of water cover (SWC) via the surface albedo. Water bodies were mapped using optical and radar satellite data with resolutions of 4mor better, Landsat-5 TM at 30mand the MODIS water mask (MOD44W) at 250m resolution. Study sites showed similar properties regarding water body distributions and scaling issues. Abundance-size distributions showed a curved pattern on a log-log scale with a flattened lower tail and an upper tail that appeared Paretian. Ponds represented 95% of the total water body number. Total number of water bodies decreased with coarser spatial resolutions. However, clusters of small water bodies were merged into single larger water bodies leading to local overestimation of water surface area. To assess the uncertainty of coarse-scale products, both surface water fraction and the water body size distribution should therefore be considered. Using Landsat surface albedo to estimate SWC across different terrain types including polygonal terrain and drained thermokarst basins proved to be a robust approach. However, the albedo–SWC relationship is site specific and needs to be tested in other Arctic regions. These findings present a baseline to better represent small water bodies of Arctic wet tundra environments in regional as well as global ecosystem and climate models.
Identifying Features in Opinion Mining via Intrinsic and Extrinsic Domain Relevance

The vast majority of existing approaches to opinion feature extraction rely on mining patterns only from a single review corpus, ignoring the nontrivial disparities in word distributional characteristics of opinion features across different corpora. In this paper, we propose a novel method to identify opinion features from online reviews by exploiting the difference in opinion feature statistics across two corpora, one domain-specific corpus (i.e., the given review corpus) and one domain-independent corpus (i.e., the contrasting corpus). We capture this disparity via a measure called domain relevance (DR), which characterizes the relevance of a term to a text collection. We first extract a list of candidate opinion features from the domain review corpus by defining a set of syntactic dependence rules. For each extracted candidate feature, we then estimate its intrinsic-domain relevance (IDR) and extrinsic-domain relevance (EDR) scores on the domain-dependent and domain-independent corpora, respectively. Candidate features that are less generic (EDR score less than a threshold) and more domain-specific (IDR score greater than another threshold) are then confirmed as opinion features. We call this interval thresholding approach the intrinsic and extrinsic domain relevance (IEDR) criterion. Experimental results on two real-world review domains show the proposed IEDR approach to outperform several other well-established methods in identifying opinion features.
Control of singularly perturbed hybrid stochastic systems

We study a class of optimal stochastic control problems involving two different time scales. The fast mode of the system is represented by deterministic state equations whereas the slow mode of the system corresponds to a jump disturbance process. Under a fundamental "ergodicity" property for a class of "infinitesimal control systems" associated with the fast mode, we show that there exists a limit problem which provides a good approximation to the optimal control of the perturbed system. Both the finite and infinite discounted horizon cases are considered. We show how an approximate optimal control law can be constructed from the solution of the limit control problem. In the particular case where the infinitesimal control systems possess the so-called turnpike property, i.e. are characterized by the existence of global attractors, the limit control problem can be given an interpretation related to a decomposition approach. Due to the constraints on page numbers all results are presented without proofs.
Ju n 20 08 Sparse Regularization with l q Penalty Term

We consider the stable approximation of sparse solutions to non-linear operator equations by means of Tikhonov regularization with a subquadratic penalty term. Imposing certain assumptions, which for a linear operator are equivalent to the standard range condition, we derive the usual convergence rate O( √ δ) of the regularized solutions in dependence of the noise level δ. Particular emphasis lies on the case, where the true solution is known to have a sparse representation in a given basis. In this case, if the differential of the operator satisfies a certain injectivity condition, we can show that the actual convergence rate improves up to O(δ). MSC: 65J20; 65J22, 49N45.
Spectrum sensing under uncertain channel modeling

We examine spectrum sensing in a situation of uncertain channel model. In particular, we assume that, besides additive noise, the observed signal contains an interference term whose probability distribution is unknown, and only its range and maximum power are known. We discuss the evaluation of the detector performance and its design in this situation. Although this paper specifically deals with the design of spectrum sensors, its scope is wider, as the applicability of its results extends to a general class of problems that may arise in the design of receivers whenever there is uncertainty about how to model the environment in which one is expected to operate. The theory expounded here allows one to determine the performance of a receiver, by combining the available (objective) probabilistic information with (subjective) information describing the designer's attitude.
Analysis of facebook content demand patterns

Data volumes in communication networks increase rapidly. Further, usage of social network applications is very wide spread among users, and among these applications, Facebook is the most popular. In this paper, we analyse user demands patterns and content popularity of Facebook generated traffic. The data comes from residential users in two metropolitan access networks in Sweden, and we analyse more than 17 million images downloaded by almost 16,000 Facebook users. We show that the distributions of image popularity and user activity may be described by Zipf distributions which is favourable for many types of caching. We also show that Facebook activity is more evenly spread over the day, compared to more defined peak hours of general Internet usage. Looking at content life time, we show that profile pictures have a relatively constant popularity while for other images there is an initial, short peak of demand, followed by a longer period of significantly lower and quite stable demand. These findings are useful for designing network and QoE optimisation solutions, such as predictive pre-fetching, proxy caching and delay tolerant networking.
QSAR Models for the Dermal Penetration of Polycyclic Aromatic Hydrocarbons

Quantitative structure–activity relationships (QSAR) models for the dermal penetration of 60 polycyclic aromatic hydrocarbons (PAHs) were established with the CODESSA program. The QSAR models for the PAH dermal penetration are obtained by selecting descriptors from a wide diversity of constitutional, topological, electrostatic and quantum structural indices. Standard quantum chemistry packages are used for optimizing the molecular geometry and for semi–empirical quantum computations. A heuristic algorithm selects the best multiple linear regression equation according to the highest statistical indices; the predictive power of each QSAR is estimated with the leave–one–out (LOO) cross–validation method. The best QSAR model with two descriptors has r 2 = 0.748, r 2 LOO = 0.719, s = 6.5, and F = 84.42. A significant improvement of the statistical indices is obtained by adding a third theoretical descriptor, i.e. r 2 = 0.761, r 2 LOO = 0.725, s = 6.4, and F = 59.39. Our results demonstrate that QSAR models can be used in risk assessment studies in order to estimate the dermal penetration properties of PAHs from mineral oils, coal, tar, and derived products.
THE TEXTURE DEVELOPMENT OF Ti-Ni-Cu WIRE DURING THERMOMECHANICAL CYCLING

An investigation has been carried out on the texture of Ti-44Ni-5Cu (at %) shape memory alloy wire. The texture of the B2 and monoclinic phases has been determined as a function of the degree of cold deformation during the drawing process and the number of cycles on thermomechanical cycling. After cold drawing and anlealing (823 K, 180 s) under tensile stress, the [110], [1(-1)0] [101] and [(-1)01] directions in the monoclinic phase are parallel to the wire axis. In this condition a preference for the [(-1)01] component is observed. On heating the wire above Af and cooling down, this preference disappears. Subsequently the preference develops again on thermomechanical cycling. The B2 phase shows in all conditions a fiber texture. The observed preference of the [(-1)01] fiber texture component in the monoclinic phase is discussed in terms of strain accomodation during plastic deformation.
Title: Cd-jra-2.3.4: Decision Support for Local Adaptation Deliverable #cd-jra-2.3.4 External Final Version 1.0 Dated Published S-cube Documents S-cube the S-cube Deliverable Series Vision and Objectives of S-cube

Management Summary This deliverable is aimed at summarizing the joint research in WP-JRA-2.3. related to decision support for local adaptation. It is an intermediate stage on the research roadmap, starting from issues of local adaptation and self-healing (CD-JRA-2.3.2) to the most complex case involving distributed multi-level adaptation (CD-JRA-2.3.8), where we investigate and integrate certain methods and techniques incrementally. The work is based on and motivated by the antecedent deliverable ''Basic requirements for self-healing services and decision support for local adaptation'' (CD-JRA-2.3.2) and is focused on local adaptation and decision which we consider one of the most important ways to investigate the applicability of certain policies to trigger local adaptation mechanism, and is organized around the general adaptation framework introduced in CD-JRA-2.3. 2. Results are presented in 10 published papers that constitute the core contribution of this deliverable. The work is positioned within the Integrated Research Framework (IRF, WP-IA-3.1), internal WP-JRA-2.3 research architecture and overall WP-JRA-2.3 goals and visions. The Software Services and Systems Network (S-Cube) will establish a unified, multidisciplinary, vibrant research community which will enable Europe to lead the software-services revolution, helping shape the software-service based Internet which is the backbone of our future interactive society. By integrating diverse research communities, S-Cube intends to achieve worldwide scientific excellence in a field that is critical for European competitiveness. S-Cube will accomplish its aims by meeting the following objectives: • Realigning , reshaping and integrating research agendas of key European players from diverse research areas and by synthesizing and integrating diversified knowledge, thereby establishing a long-lasting foundation for steering research and for achieving innovation at the highest level. • Inaugurating a Europe-wide common program of education and training for researchers and industry thereby creating a common culture that will have a profound impact on the future of the field. • Establishing a pro-active mobility plan to enable cross-fertilisation and thereby fostering the integration of research communities and the establishment of a common software services research culture. • Establishing trust relationships with industry via European Technology Platforms (specifically NESSI) to achieve a catalytic effect in shaping European research, strengthening industrial competitiveness and addressing main societal challenges. • Defining a broader research vision and perspective that will shape the software-service based Internet of the future and will accelerate economic growth and improve the living conditions of European citizens. S-Cube will produce an integrated research community of international reputation and acclaim that will help define …
Low Cost High Quality 3D Virtual City Models

There are several projects aimed at creating the 3D virtual city models for bigger cities all over the world. In order to bring these models closer to smaller cities to be used e.g. in urban planning or regional development the trade-off between cost and quality of the model should be solved. From this point of view we discuss the input data available at low cost, the relatively simple work flow in creating the model and the quality parameters of the final model. We discuss the low cost input data such as DTM and terrestrial images taken with ordinary digital cameras with special focus on the cadastral data providing the building footprints that can be used for reconstruction. The simple work flow includes the data-processing providing the block flat-roof model and also the silhouette based building reconstruction method. Special focus in the work flow is given to relatively simple texturing and rendering to obtain the photorealistic large scale model. The quality parameters of the model are discussed, mainly the navigation, speed, accuracy, manageability of the model data and subjective feeling of the user. The proposed procedures can achieve many of them in the final model as can be seen from the examples of low cost high quality 3D virtual model of Bratislava.
Automatic feature selection for desertion and graduation prediction: A chilean case

The high rate of university dropout and low graduation rates are very relevant social problems today. Since there are many possible causes of desertion and university graduation, in this paper, we propose to find, analyze and weigh the factors that allow predicting if a student will drop out or graduate according to prior information available using data mining techniques and statistical models. We will focus in the case of Catholic University of Temuco, using real data from that institution. This study reveals relevant variables in opinion of human experts, which demonstrates the ability of automatic models to represent the dropout and graduation at the university.
PATEX

Patterns play a central role in 2D graphic design. A critical step in the design of patterns is evaluating multiple design alternatives. Exploring these alternatives with existing tools is challenging because most tools force users to work with a single fixed representation of the pattern that encodes a specific set of geometric relationships between pattern elements. However, for most patterns, there are many different interpretations of its regularity that correspond to different design variations. The exponential nature of this variation space makes the problem of finding all variations intractable. We present a method called PATEX to characterize and efficiently identify distinct and valid pattern variations, allowing users to directly navigate the variation space. Technically, we propose a novel linear approximation to handle the complexity of the problem and efficiently enumerate suitable pattern variations under proposed element movements. We also present two pattern editing interfaces that expose the detected pattern variations as suggested edits to the user. We show a diverse collection of pattern edits and variations created with PATEX. The results from our user study indicate that our suggested variations can be useful and inspirational for typical pattern editing tasks.
Noise-Assisted EMD Methods in Action

In this work we explore the capabilities of two noise-assisted EMD methods: Ensemble EMD (EEMD) and the recently proposed Complete Ensemble EMD with Adaptive Noise (CEEMDAN), to recover a pure tone embedded in different kinds of noise, both stationary and nonstationary. Experiments are carried out for assessing their performances with respect to the level of the added noise and the number of realizations used for averaging. The obtained results partly support empirical recommendations reported in the literature while evidencing new distinctive features. While EEMD presents quite different behaviors for different situations, CEEMDAN evidences some robustness with an almost unaffected performance for the studied cases.