Miracle-dz/UniFAR-FTUs huggingface dataset:
Multi-tone almost blank subframes for enhanced inter-cell interference coordination in LTE HetNets

Almost Blank Subframes (ABSs) are an important part of enhanced Inter-Cell Interference Coordination in 3GPP standard. The concept of ABS is to blank some subframes of macro base stations (MBSs), therefore, PBSs can have no interference from MBSs during these periods. In this work, we propose Multi-tone ABS to enhance ABS, which is referred to single-tone since only two choices can be applied on each subframe. Our approach increases the spectrum utilization of MBSs, and also save much power compared to the original ABS scenarios. According to the simulation results, the proposed Multi-tone ABS reaches the following achievement: (1) The spectrum is a precious resource, and we increase the spectrum utilization. (2) We improve the performance of MBSs without harming the performance of PBSs. The capacity and the latency of MBSs are improved; (3) The power consumption of Multi-tone ABS is less than the original ABS scenario.
What Contributes to Life Satisfaction in Transitional Romania?

This paper analyzes life satisfaction in Romania in 2001, 12 years after the collapse of communism and the beginning of the transition into a market economy. Using a survey of 1770 individuals, we find that our results are very similar to studies in Western Europe and the USA. Life satisfaction increases with housing standard, health status, economic situation, education, trusting other people, and living in the countryside, and decreases with rising unemployment. However, life satisfaction is lower than in Western countries with about 74% of the people in the sample being not at all satisfied or not quite satisfied with their life in general, and the remaining part being quite satisfied or very satisfied. A policy discussion concludes the paper.
Pacific Asia Conference on Information Systems ( PACIS ) 2014 AGILE ENTERPRISE ARCHITECTURE : A CASE OF A CLOUD TECHNOLOGY-ENABLED GOVERNMENT ENTERPRISE TRANSFORMATION

Australian government enterprises have shown a significant interest in the cloud technology-enabled enterprise transformation. Australian government suggests the whole-of-a-government strategy to cloud adoption. The challenge is how best to realise this cloud adoption strategy for the cloud technologyenabled enterprise transformation? The cloud adoption strategy realisation requires concrete guidelines and a comprehensive practical framework. This paper proposes the use of an agile enterprise architecture framework to developing and implementing the adaptive cloud technology-enabled enterprise architecture in the Australian government context. The results of this paper indicate that a holistic strategic agile enterprise architecture approach seems appropriate to support the strategic whole-of-a-government approach to cloud technology-enabled government enterprise transformation.
Variable-Length Limited Feedback Beamforming in Multiple-Antenna Fading Channels

We study a multiple-input single-output fading channel, where we would like to minimize the channel outage probability or symbol error rate (SER) by employing beamforming via quantized channel state information at the transmitter (CSIT). We consider a variable-length limited feedback scheme where the quantized CSIT is acquired through feedback binary codewords of possibly different lengths. We design and analyze the performance of the associated variable-length quantizers (VLQs) and compare their performance with the previously studied fixed-length quantizers (FLQs). For the outage probability performance measure, we construct VLQs that can achieve the full-CSIT performance with finite rate. Moreover, as the signal-to-noise ratio P tends to infinity, we show that VLQs can achieve the full-CSIT outage probability performance with asymptotically zero feedback rate. For the SER performance measure, we show that while the SER with full-CSIT is not achievable at any finite feedback rate, the diversity and array gains with full-CSIT can be achieved using VLQs with asymptotically zero feedback rate as P → ∞. Our results show that VLQs can significantly improve upon the traditional FLQs that require infinite feedback rate to achieve the outage probability or the diversity and array gains with full-CSIT.
A latent model of discriminative aspect

Recognition using appearance features is confounded by phenomena that cause images of the same object to look different, or images of different objects to look the same. This may occur because the same object looks different from different viewing directions, or because two generally different objects have views from which they look similar. In this paper, we introduce the idea of discriminative aspect, a set of latent variables that encode these phenomena. Changes in view direction are one cause of changes in discriminative aspect, but others include changes in texture or lighting. However, images are not labelled with relevant discriminative aspect parameters. We describe a method to improve discrimination by inferring and then using latent discriminative aspect parameters. We apply our method to two parallel problems: object category recognition and human activity recognition. In each case, appearance features are powerful given appropriate training data, but traditionally fail badly under large changes in view. Our method can recognize an object quite reliably in a view for which it possesses no training example. Our method also reweights features to discount accidental similarities in appearance. We demonstrate that our method produces a significant improvement on the state of the art for both object and activity recognition.
Data-driven taxonomy forest for fine-grained image categorization

Fine-grained image categorization must handle huge cross-class ambiguities and a large number of classes. Inspired by the success of rigid hierarchical classification, we propose a new flexible hierarchical classification method, called a data-driven taxonomy forest. It constructs a multitude of taxonomies, each of which converts a complex multi-class problem to a more easily tractable path-finding problem. We demonstrate how a stochastic representation of local classification hypotheses incorporated in multiple taxonomies deals skillfully with error propagation and over-fitting. Various strategies for instance space decomposition are investigated from the viewpoint of taxonomy complexity. We comprehensively evaluate our data-driven taxonomy forest using Oxford Flower 102 and Oxford Pet benchmarks and show its superiority in effectiveness and generality to rigid hierarchical classification in fine-grained image categorization tasks.
User localisation using visual sensing and RF signal strength

In this paper, we simulate a museum scenario where we are concerned with identifying the exhibit that a person is observing. Many different technologies exist for determining the location of a user, including GPS, GSM and RF-id tags. Due to their low-power and passive nature, along with their relatively good accuracy, we examine the use of image-based localisation, alongside RF-based localisation for this task. In image-based localisation, we investigate if it is possible to determine a user's location given an image captured at their current location. In RF-based localisation, we can attempt localisation using a set of signal strength readings from detected wireless networks. As the two sources of data are complementary, we investigate different fusion strategies and measure the resulting increase in performance from using both systems.
The impact of various policy measures on employment in the Netherlands

This contribution looks at the impact of various policy measures on employment in the Netherlands using a static structural microeconomic model of the Dutch labor market. This model contains a productivity equation that describes the demand side of the labor market, a wage function, a labor supply function and an equation that describes minimum wage costs. The model also takes into account the impact of the business cycle. The model allows us to look at the impact of very specific policy measures. Model simulations show that it is less simple to combat the poverty trap (voluntary unemployment) as compared to the productivity trap (involuntary unemployment). However, efficiency gains can be achieved if more tailored policy measures are taken.
Morphological Characterization, Quality, Yield and DNA Fingerprinting of Biofield Energy Treated Alphonso Mango (Mangifera indica L.)

Alphonso is the most delicious variety of mango (Mangifera indica L.) known for its excellent texture, taste, and richness with vitamins and minerals. The present study was attempted to evaluate the impact of Mr. Trivedi’s biofield energy treatment on morphological characteristics, quality, yield and molecular assessment of mango. A plot of 16 acres lands used for this study with already grown mango trees. This plot was divided into two parts. One part was considered as control, while another part was subjected to Mr. Trivedi’s biofield energy treatment without physically touching and referred as treated. The treated mango trees showed new straight leaves, without any distortion and infection, whereas the control trees showed very few, distorted, infected, and curly leaves. Moreover, the flowering pattern of control trees did not alter; it was on average 8 to 10 inches with more male flowers. However, the flowering pattern of treated trees was completely transformed into compact one being 4 to 5 inches in length and having more female flowers. Additionally, the weight of matured ripened mango was found on an average 275 gm, medium sized with 50% lesser pulp in the control fruits, while the fruits of biofield energy treated trees showed on average weight of 400 gm, large sized and having 75% higher pulp as compared to the control. Apart from morphology, the quality and nutritional components of mango fruits such as acidity content was increased by 65.63% in the treated sample. Vitamin C content in the treated Alphonso mango pulp was 43.75% higher than the pulp obtained from the control mango farm. The spongy tissue content in pulp of the matured ripened mangoes was decreased by 100% for two consecutive years as compared to the control. Moreover, the yield of flowers and fruits in the treated trees were increased about 95.45 and 47.37%, respectively as compared to the control. Besides, the DNA fingerprinting data using RAPD revealed that the treated sample did not show any true polymorphism as compared to the control. The overall results envisaged that the biofield energy treatment on the mango trees showed a significant improvement in the morphology, quality and overall productivity along with 100% reduction in the spongy tissue disorder. In conclusion, the biofield energy treatment could be used as an alternative way to increase the production of quality mangoes.
Lexical analysis of inflected Arabic words using exhaustive search of an augmented transition network

This paper presents a lexical analyser for inflected Arabic words. An augmented transition network (ATN) technique was used to represent the context‐sensitive knowledge about the relation between a stem and inflectional additions. An exhaustive‐search algorithm is developed to traverse the ATN, generating all possible interpretations of an inflected Arabic word. The arcs of the ATN are augmented with rules containing conditions and actions. More than one rule is associated with some arcs. The states of the ATN are represented by Pascal procedures.
Combinatorial realization of the Thom-Smale complex via discrete Morse theory

In the case of smooth manifolds, we use Forman's discrete Morse theory to realize combinatorially any Thom-Smale complex coming from a smooth Morse function by a couple triangulation-discrete Morse function. As an application, we prove that any Euler structure on a smooth oriented closed 3-manifold has a particular realization by a complete matching on the Hasse diagram of a triangulation of the manifold.
Height Ridge Computation and Filtering for Visualization

Motivated by the growing interest in the use of ridges in scientific visualization, we analyze the two height ridge definitions by Eberly and Lindeberg. We propose a raw feature definition leading to a superset of the ridge points as obtained by these two definitions. The set of raw feature points has the correct dimensionality, and it can be narrowed down to either Eberly's or Lindeberg's ridges by using Boolean filters which we formulate. While the straight-forward computation of height ridges requires explicit eigenvalue calculation, this can be avoided by using an equivalent definition of the raw feature set, for which we give a derivation. We describe efficient algorithms for two special cases, height ridges of dimension one and of co-dimension one. As an alternative to the aforementioned filters, we propose a new criterion for filtering raw features based on the distance between contours which generally makes better decisions, as we demonstrate on a few synthetic fields, a topographical dataset, and a fluid flow simulation dataset. The same set of test data shows that it is unavoidable to use further filters to eliminate false positives. For this purpose, we use the angle between feature tangent and slope line as a quality measure and, based on this, formalize a previously published filter.
Internet router outage measurement: an embedded approach

Outage measurement is an integral part of high-availability network operations to assess and report the availability of router components and, in turn, the availability of the network. The paper presents a novel approach to outage measurement, called component outage on-line (COOL) measurement. COOL provides an autonomous real-time outage measurement within the router. It automates the outage measurement process and makes it more accurate, reliable, scalable, and cost-effective. The paper describes COOL's measurement methodology with respect to outage model, measurement metrics, architectural framework, methods for measuring hardware and software outages and planned and unplanned outages, and outage MIB (management information base) design. COOL is being implemented in various network routers. Experiment results on COOL runtime performance are presented.
A Capacity Planning Process for Performance and Availability Assurance of Multi-Tiered Web Applications

For service providers of multi-tiered applications, such as web portals, assuring high performance and availability to their customers without impacting revenue requires effect ive and careful capacity planning that aims at minimizing the number of resources, and utilizing them efficiently while simultaneously supporting a large customer base and meetin g their service level agreements. This paper presents a novel , hybrid capacity planning process that results from a systematic blending of 1) analytical modeling, where traditional modeling techniques are enhanced to overcome their limitations in providing accurate performance estimates; 2) profile-base d techniques, which determine performance profiles of indivi dual software components for use in resource allocation and bala ncing resource usage; and 3) allocation heuristics that alloc ate software components on minimum number of resources. Our results show that using our technique, performance (i.e., bounded response time) can be assured while reducing operating costs by using 25% less resources and increasing revenues by handling 20% more clients compared to traditional approaches. Keywords-Multi-tier applications, performance estimation, service deployment.
Computational comparison of the Uyghur and Turkish Grammar

This paper describes the differences between Uyghur (spoken in Sin Kiang, China) and Turkish Grammar on the sentence level. There are not many researches about natural language processing on Turkic languages except than Turkish. Uyghur language is one of the old and rich language in the Turkic language family. Even though both of these languages belong to the same language family, there are some important differences between them. Because of these reasons, it is not possible to implement a machine translation system between Uyghur and Turkish languages, which works on word by word translation simply. All of the words in the sentences must be analyzed at the morphologic level and define some translation rules, in order to avoid lost original sentence's mean. We hope this paper give some contribution for advanced studies to the Uyghur language in Machine Translation and Natural Language processing.
Line-of-sight velocity distributions of elliptical galaxies from collisionless mergers

We analyse the skewness of the line-of-sight velocity distributions in model elliptical galaxies built through collisionless galaxy mergers. We build the models using large N-body simulations of mergers between either two spiral or two elliptical galaxies. Our aim is to investigate whether the observed ranges of skewness coefficient (h3) and the rotational support (V/σ ), as well as the anticorrelation between h3 and V, may be reproduced through collisionless mergers. Previous attempts using N-body simulations failed to reach V/σ ≈ 1‐2 and corresponding high h3 values, which suggested that gas dynamics and ensuing star formation might be needed in order explain the skewness properties of ellipticals through mergers. Here we show that high V/σ and high h3 are reproduced in collisionless spiral‐spiral mergers whenever a central bulge allows the discs to retain some of their original angular momentum during the merger. We also show that elliptical‐elliptical mergers, unless merging from a high-angular momentum orbit, reproduce the strong skewness observed in non-rotating, giant, boxy ellipticals. The behaviour of the h3 coefficient therefore associates rapidly-rotating discy ellipticals to disc-disc mergers, and associates boxy, slowly rotating giant ellipticals to elliptical‐elliptical mergers, a framework generally consistent with the expectations of hierarchical galaxy formation.
About time: individual temporal orientation, time succession, and cognitive capacities

Time is a fundamental aspect of human experience. Whilst most research investigated major aspects of psychological time time duration, time succession, individual temporal orientation in isolation, this dissertation investigates interrelations between individual temporal orientation and time succession. Since psychological time is bound to cognitive abstraction processes that rely on cognitive resources and functions, interrelations between individual temporal orientation and cognitive capacities were also investigated. Study 1 explored how different levels of individuals’ temporal orientation may be interrelated, and how interrelations may be influenced by age and sex. Interrelations between individual temporal orientation and time succession were explored in a task predominantly requiring crystallized intelligence (Study 2) and in a semantic analogy task requiring crystallized and fluid intelligence (Study 3a). Study 3b investigated interrelations between individual temporal orientation and higher-level fluid intelligence measures by applying a geometric analogy task. Interrelations between time perspective and chronotype as well as between chronotype and temporal depth are reported. Further, both future time perspective and temporal depth are interrelated with time succession. A testable global working memory model of time perception integrating all three aspects of psychological time is proposed. Further, interrelations between individual temporal orientation and cognitive capacities are reported. Future time perspective was related to fluid intelligence, chronotype to verbal intelligence. Behavioral as well as pupillary data suggest that individual temporal orientation is related to analogical reasoning, executive functions and goal management. Whereas future time perspective and morningness appear interrelated with conflict detection, temporal depth appears interrelated with inhibitory control.
Power Quality in DC Power Distribution Systems and Microgrids

This review paper discusses power quality considerations for direct current (DC) electric power distribution systems, particularly DC microgrids. First, four selected sample DC architectures are discussed to provide motivation for the consideration of power quality in DC systems. Second, a brief overview of power quality challenges in conventional alternating current (AC) distribution systems is given to establish the field of power quality. Finally, a survey of literature addressing power quality issues in DC systems is presented, and necessary power quality considerations in DC distribution system design and operation are discussed.
After Rape: Mexican Women’s Help-Seeking and Access to Emergency Health Care in Public Prosecutor’s Offices

Using a mixed-methods design, this study examines the prevalence of women’s rape by someone other than an intimate partner in Mexico, women’s formal help-seeking strategies and their access to emergency healthcare in state attorney agencies. 18 out of every 10,000 Mexican women were raped during 2011. Only 8.37% of them sought help in law-enforcement agencies and less than 1% in public health services. Specialized agencies in sexual crimes tend to lack attention protocols (70%), and medical examiners (26.7%). Emergency medical care for victims is not guaranteed nor are referrals to public healthcare services for emergency contraception, treatment for STDs and pregnancy interruption.
Nonlinear Kalman Filtering Algorithms for On-Line Calibration of Dynamic Traffic Assignment Models

An online calibration approach that jointly estimates demand and supply parameters of dynamic traffic assignment (DTA) systems is presented and empirically validated through an extensive application. The problem can be formulated as a nonlinear state-space model. Because of its nonlinear nature, the resulting model cannot be solved by the Kalman filter, and therefore, nonlinear extensions need to be considered. The following three extensions to the Kalman filtering algorithm are presented: 1) the extended Kalman filter (EKF); 2) the limiting EKF (LimEKF); and 3) the unscented Kalman filter. The solution algorithms are applied to the on-line calibration of the state-of-the-art DynaMIT DTA model, and their use is demonstrated in a freeway network in Southampton, U.K. The LimEKF shows accuracy that is comparable to that of the best algorithm but with vastly superior computational performance. The robustness of the approach to varying weather conditions is demonstrated, and practical aspects are discussed.
HOP: A New Group-finding Algorithm for N-Body Simulations

We describe a new method (HOP) for identifying groups of particles in N-body simulations. Having assigned to every particle an estimate of its local density, we associate each particle with the densest of the Nhop particles nearest to it. Repeating this process allows us to trace a path, within the particle set itself, from each particle in the direction of increasing density. The path ends when it reaches a particle that is its own densest neighbor; all particles reaching the same such particle are identified as a group. Combined with an adaptive smoothing kernel for finding the densities, this method is spatially adaptive, coordinate-free, and numerically straightforward. One can proceed to process the output by truncating groups at a particular density contour and combining groups that share a (possibly different) density contour. While the resulting algorithm has several user-chosen parameters, we show that the results are insensitive to most of these, the exception being the outer density cutoff of the groups.