Miracle-dz/UniFAR-FTUs huggingface dataset:
Robust and Reliable Modulation Classification for MIMO Systems

This paper develops a feature-based Automatic Modulation Classification (AMC) algorithm for spatially multiplexed Multiple-Input Multiple-Output (MIMO) systems. The proposed algorithm employs two Higher Order Cumulants (HOCs) of the estimated transmit signal streams as discriminating featu res, and a multiclass Support Vector Machine (SVM) as a classification system. A multi-classifier classification system is introduced to im prove the robustness of the decision made by the classifier at each estimated transmit signal stream. Furthermore, an optimal decision fusion scheme using a Maximum-Likelihood (ML) criterion is also introduced to improve the accuracy and reliability of the final classific ation decision made in the fusion center. The proposed algorithm shows good performance under different operating conditions, over an acceptable range of SNR, without any prior information about the channel state.
Auction Format and Auction Sequence in Multi�?Item Multi�?Unit Auctions: An Experimental Study

We experimentally study the effect of auction format (sealed-bid vs. closed clock vs. open clock) and auction sequence (simultaneous vs. sequential) on bidding behaviour and auction outcomes in auctions of multiple related multi-unit items. Prominent field applications are the sale of emission permits, fishing rights, and electricity. We find that, when auctioning simultaneously, clock auctions outperform sealed-bid auctions in terms of efficiency and revenues. This advantage disappears when the items are auctioned sequentially. In addition, auctioning sequentially has positive effects on total revenues across all auction formats, resulting from fiercer competition on the item auctioned first.
TRANS PROF DB: A new resource for sharing translational profiles

The translational efficiency of individual mRNAs can be measured on a genome-wide scale using translational profiling techniques. Data from such experiments are an enormously important resource in the quest to understand the impact of cellular state on gene expression. To improve our understanding of these data, we have created TRANS PROF DB, a manually curated resource containing the translational status of human mRNAs under defined conditions. Results are provided at the level of an annotated conclusion for each gene, e.g. “Translation up-regulated”, and also, where available, in a rawer form such as the normalized analyzed microarray output. TRANS PROF DB aims to provide a central resource for the sharing of translational profiles to facilitate reuse of published data and to enable meta-analyses across data sets. As the database expands, it will provide an easily searchable archive of publicly available translational profiling data sets. We encourage all researchers to deposit their translational profiling data into TRANS PROF DB to enable us to create a truly comprehensive resource. TRANS PROF DB is available without restriction at mrctools.mrctox. le.ac. uk/TRANS_PROF_DB.
Real-time implementation of an acoustic echo canceller on DSP

| Acoustic echo cancellation is an essential signal enhancement tool for teleconferencing applications such as hands-free telephony, tele-classing and video-conferencing. However, loudspeaker signals are picked up by a microphone and are fed back to the correspondent, resulting in an unde-sired echo. Nowadays, adaptive ltering techniques are typically employed to suppress this echo. In acoustic applications long lters need to be adapted for suucient echo suppression. Classical adaptation schemes such as LMS are too expensive to do an accurate echo path modelling in highly reverberating environments. Cheaper algorithms were proposed and are mainly based on subband and frequency-domain techniques. However, due to nonlinearities and the time-dependence of the echo path some residual echo will always remain. Apart from the adaptive lter also some post-processing and a steering algorithm have to be included to remove the residuals and to ensure proper operation during double-talk. By modelling then only a part of the echo path more expensive adap-tive algorithms such as LMS can be reconsidered. Diierent adaptive algorithms have been implemented in real time on DSP. They are compared based on a cost/performance analysis. A steering algorithm is used that can withstand the non-stationarities of the acoustic environment.
Contention Window based Parameter Selection to Improve Powerline MAC Efficiency for Large Number of Users

Power line based communication systems (PLC) are emerging as strong contenders in the home and personal environments. Their advantages of high data rates, no additional wiring and easy scalability make them very attractive for deployment in local area networks and broadband power line (BPL) Internet access. Effective use of the powerline bandwidth requires robust physical and medium access control (MAC) protocols to mitigate the harsh conditions of the powerline channel, as well as the capability to support prioritized multimedia traffic. Home Plug 1.0 is the most commonly used technology for powerline communication. HomePlug 1.0 uses carrier sense multiple access/collision avoidance (CSMA/CA) to provide a maximum MAC data rate of 8 Mbps. Just as in 802.11, the throughput performance of this scheme becomes critical when the number of users increases, as in BPL. In this paper, a modification in the medium access control protocol of Home Plug 1.0 is proposed, to make it a constant contention window based scheme. This modification is shown to significantly enhance the MAC performance under saturation conditions. An analytical and simulation framework is used to tune the modified protocol for best performance, under the assumption that the number of active stations is known or can be reliably estimated
Design of English-Hindi Translation Memory for Efficient Translation

Developing parallel corpora is an important and a difficult activity for Machine Translation. This requires manual annotation by Human Translators. Translating same text again is a useless activity. There are tools available to implement this for European Languages, but no such tool is available for Indian Languages. In this paper we present a tool for Indian Languages which not only provides automatic translations of the previously available translation but also provides multiple translations, in cases where a sentence has multiple translations, in ranked list of suggestive translations for a sentence. Moreover this tool also lets translators have global and local saving options of their work, so that they may share it with others, which further lightens the task.
Quantifying vulnerability to poverty : a proposed measure, with application to Indonesia

' ) 9 6 ( & : ( ; < ( ) ( ( / ) ( = ) 6 6 & ( 6 ( ( & 6 > :( ) ; ( & ( ) ) ) 6 ( & ) ( ) ? 3/? 3 ( & :' ) + ( @ ; '+@ ( 6 ) ( ) ( & $ '+@ :A ' ) ; ( ) ( :A + ( &; " & ( ( .3 ( 13 ? 3 & .3 ) ( ) ( 03 13 ) ( & ) 6 ( ) ) ) ( ) / & $ ( ( ) & * This paper is an extensive revision of the January 2000 version which adds estimates using a second panel data set (the Mini-Susenas). We thank Esther Duflo, Menno Pradhan, Martin Ravallion, David Levine, and Angus Deaton for their valuable comments and suggestions on the earlier version. We also thank Wenefrida Dwi Widyanti and Yusuf Suharso for their research assistance. We are grateful to BPS, UNDP, and UNICEF for providing access to the data.
Spatial Relations Between Area Objects Under Metric Spaces

The well-known 9-intersection model has been widely used to describe spatial relations in GIS databases. However, the model cannot effectively distinguish the difference of spatial relations between two disjoint area objects with only a short distance between each other from those of with a relatively long distance because the model is only based on the topology property of the point sets without considering their metric property. In this paper, we begin with reviewing the 9intersection model, and then propose a new approach to improve it by combining the point set topology with metric property. The method proposed in this paper can partly eliminate the limitation of the model. In our method the representation of spatial relations between area objects includes three steps: (1) to find and locate spatial objects, (2) to make a approximate classification for spatial relations between a selected reference object and a target one using the 9-intersection model, and (3) to identify the spatial relations in more detail by applying metric parameters.
Robust Measurement-Based Admission Control Using Markov's Theory of Canonical Distributions

This paper presents models, algorithms and analysis for measurement-based admission control in network applications in which there is high uncertainty concerning source statistics. In the process it extends and unifies several recent approaches to admission control. A new class of algorithms is introduced based on results concerning Markov's canonical distributions. In addition, a new model is developed for the evolution of the number of flows in the admission control system. Performance evaluation is done through both analysis and simulation. Results show that the proposed algorithms minimize buffer-overflow probability among the class of all moment-consistent algorithms
Variational assimilation of Lagrangian data in oceanography

We consider the assimilation of Lagrangian data into a primitive equations circulation model of the ocean at basin scale. The Lagrangian data are positions of floats drifting at a fixed depth. We aim at reconstructing the four-dimensional spacetime circulation of the ocean. This problem is solved using the four-dimensional variational technique and the adjoint method. In this problem, the control vector is chosen as being the initial state of the dynamical system. The observed variables, namely the positions of the floats, are expressed as a function of the control vector via a nonlinear observation operator. This method has been implemented and has the ability to reconstruct the main patterns of the oceanic circulation. Moreover, it is very robust with respect to increase of the time-sampling period of observations. We have run many twin experiments in order to analyse the sensitivity of our method to the number of floats, the time-sampling period and the vertical drift level. We also compare the performances of the Lagrangian method to that of the classical Eulerian one. Finally, we study the impact of errors on observations.
Combining multiple speech recognizers using voting and language model information

In 1997, NIST introduced a voting scheme called ROVER for combining word scripts produced by different speech recognizers. This approach has achieved a relative word error reduction of up to 20% when used to combine the systems’ outputs from the 1998 and 1999 Broadcast News evaluations. Recently, there has been increasing interest in using this technique. This paper provides an analysis of several modiﬁcations of the original algorithm. Topics addressed are the order of combination, normal-ization/ﬁltering of the systems’ outputs prior to combining them, treatment of ties during voting and the incorporation of language model information. The modiﬁed ROVER achievesan additional 5% relative word error reduction on the 1998 and 1999 Broadcast News evaluation test sets. Links with recent theoretical work on alternative error measures are also discussed.
An empirical study of bandwidth predictability in mobile computing

While bandwidth predictability has been well studied in static environments, it remains largely unexplored in the context of mobile computing. To gain a deeper understanding of this important issue in the mobile environment, we conducted an eight-month measurement study consisting of 71 repeated trips along a 23Km route in Sydney under typical driving conditions. To account for the network diversity, we measure bandwidth from two independent cellular providers implementing the popular High-Speed Downlink Packet Access (HSDPA) technology in two different peak access rates (1.8 and 3.6Mbps). Interestingly, we observe no significant correlation between the bandwidth signals at different points in time within a given trip. This observation eventually leads to the revelation that the popular time series models, e.g. the Autoregressive and Moving Average, typically used to predict network traffic in static environments are not as effective in capturing the regularity in mobile bandwidth. Although the bandwidth signal in a given trip appears as a random white noise, we are able to detect the existence of patterns by analyzing the distribution of the bandwidth observed during the repeated trips. We quantify the bandwidth predictability reflected by these patterns using tools from information theory, entropy in particular. The entropy analysis reveals that the bandwidth uncertainty may reduce by as much as 46% when observations from past trips are accounted for. We further demonstrate that the bandwidth in mobile computing appears more predictable when location is used as a context. All these observations are consistent across multiple independent providers offering different data transfer rates using possibly different networking hardware.
Technical Efficiency in Small Irrigation Project Management: An Empirical Analysis from Xinjiang Province in China

Based on the investigation data from 29 villages in Xinjiang of China, stochastic frontier production function is used to estimate the technical efficiency in small irrigation project management, and linear inefficient regression models are applied to explain the factors influencing the technical efficiency. The results showed that the technical efficiency in small irrigation project management in the province have yet to be improved to a large extent. The level of the technical efficiency differs in different economic & geographic regions as well as adopting different management modes. Increasing non-collective property, establishing water charge system and improving farmer's participation could contribute to improving the efficiency.
An Efficient Algorithm by Kurtosis Maximization in Reference-Based Framework

This paper deals with the optimization of kurtosis for complex-valued signals in the independent component analysis (ICA) framework, where source signals are linearly and instantaneously mixed. Inspired by the recently proposed reference-based contrast schemes, a similar contrast function is put forward, based on which a new fast fixed-point (FastICA) algorithm is proposed. The new optimization method is similar in spirit to the former classical kurtosis-based FastICA algorithm but differs in the fact that it is much more efficient than the latter in terms of computational speed, which is significantly striking with large number of samples. The performance of this new algorithm is confirmed through computer simulations.
Relative Performance of Equity Markets: An Assessment in the Conventional and Downside Frameworks

This paper considers multiple measures of risk and return and appraises the performance of equity markets in the cross-section using a non-parametric procedure known as data envelopment analysis (DEA). In the appraisal, measures of risk (return) are treated as input (output) variables of the DEA model and developed and emerging markets are considered separately. The variation in relative performance among emerging markets is generally higher than that of developed markets. However, the overall performance of equity markets is consistent across the conventional and downside frameworks and the impact of risk measures on equity market performance is similar for both market types. Generally, the association between DEA ranking of markets and the ranking obtained with Treynor index are strong. The exception is when developed markets are ranked in the DEA models specified under the conventional framework.
Existence of dynamic tautomerism and divalent N(I) character in N‐(pyridin‐2‐yl)thiazol‐2‐amine

N‐(Pyridin‐2‐yl)thiazol‐2‐amine is a versatile chemical functional unit present in many therapeutically important species. Quantum chemical analysis shows that there are six competitive isomeric structures possible for this class of compounds within a relative energy difference of ∼4 kcal/mol. Some of the isomeric structures possess divalent N(I) character. There appears to be a competition between the thiazole and pyridine groups to accommodate the tautomeric hydrogen, and consequently show electron donating property in the structure with R‐N←L representation. Details of electron distribution, tautomeric preferences, protonation energy, and divalent N(I) character, and so on, of this class of compounds are presented in this article. Subsequently, upon protonation, (L→N←L)⊕ character is clearly evident in these moieties as molecular orbital analysis clearly shows two lone pairs of electrons on the central nitrogen, in this system. © 2013 Wiley Periodicals, Inc.
Model Mining and Efficient Verification of Software Product Lines

Software product line modeling aims at capturing a set of software productsin an economic yet meaningful way. We introduce a class of variability modelsthat capture the sharing between the software artifacts forming the productsof a software product line (SPL) in a hierarchical fashion, in terms of commonalitiesand orthogonalities. Such models are useful when analyzing and verifying all productsof an SPL, since they provide a scheme for divide-and-conquer-style decompositionof the analysis or verification problem at hand. We define an abstract class of SPLsfor which variability models can be constructed that are optimal w.r. t. the chosen representation of sharing. We show how the constructed models can be fed into a previously developedalgorithmic technique for compositional verification of control-flow temporal safetyproperties, so that the properties to be verified are iteratively decomposed intosimpler ones over orthogonal parts of the SPL, and are not re-verified over the shared parts. We provide tool support for our technique, and evaluate our tool on a small but realistic SPL of cash desks.
The Antarctica Wide-field High-resolution Infrared Telescope (WHITE)

What is a good astronomical site? It must be cold, dry, stable, dark. There is one site on Earth that qualifies : Antarctica. To make the best use of these characteristics, we propose a Wide-field (0.5-degree in diameter) High-resolution (~0.3 arcsec using GLAO from the ice), IR (0.8-5 μm) 2.4-m TElescope (WHITE). WHITE will be dedicated to carrying out surveys: a deep extragalactic field over a few square degrees, a survey of the Magellanic Clouds. By adding one more year, WHITE would be able to add one kilo-degree survey.
Social-media text mining and network analysis to support decision support for natural crisis management

A core issue in crisis management is to extract from the mass of incoming information what is important for situational awareness during mass emergencies. Based on a case study we develop a prototypical application, TweetComp1, which is integrated into the decision-support component of a Tsunami early warning system and demonstrates the applicability of our approach. This paper describes four novel approaches using focused twitter crawling, trustworthiness analysis, location analysis/geo-parsing, and multilingual tweet classification in the context of how they could be used for monitoring crises. The validity of our state-of-the art text mining and network analysis technologies will be verified in different experiments based on a human annotated gold standard corpus.
National Institute for Transport and Logistics 2011-0701 Towards a Unified Definition of Supply Chain Management

A wide range of definitions of supply chain management (SCM) have been developed over the last three decades. The philosophy of SCM is based firmly on a recognition that it is only by working in a more integrated manner that competitive advantage can be maximised. However, for this to become a reality the development of common definitions and understandings between supply chain partners is a critical success factor. The corollary of this is that a lack of definitional consistency and a common understanding is an inhibitor to the successful adoption of SCM thinking in practice. This paper reviews a number of definitions of SCM, as well as discussions and analyses of such definitions. This leads to the central point posited in the paper – the need for a ‘unified definition’. Such a definitional construct, labelled the Four Fundamentals of SCM, is proposed with the core of the paper providing a narrative description of this construct based on a wide range of literature. the practical effectiveness of its application. Nonetheless, SCM has risen to prominence in recent years in both academic and commercial circles. However, there is still no universally accepted definition of what SCM is (and, indeed, is not). As pointed out in a widely cited article by Mentzer et al. (2001): Despite the popularity of the term Supply Chain Management, both in academia and practice, there remains considerable confusion as to its meaning. Some authors describe SCM in operations terms involving flow of products and materials, some view it as a management philosophy, and some view it as a management process (p. 2). DOI: 10.4018/jal.2011070103 International Journal of Applied Logistics, 2(3), 30-48, July-September 2011 31 Copyright © 2011, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited. Given that the notion of intra-firm and inter-firm integration and alignment is central to SCM, there is increasing recognition among scholars and practitioners of the need for common definitions. For example, Mentzer et al. (2001) made the point that without a clear understanding of SCM, wide application of SCM in practice cannot be expected. From a research perspective, there are clear potential benefits associated with viewing the large body extant SCM literature, as well as emerging research findings, through the prism of a unified definitional construct. Following this introduction, the next section reviews a number of widely cited definitions of SCM. This leads to the central point posited by the author in this paper – the need for a ‘unified definition’. Such a definitional construct, labelled the Four Fundamentals of SCM, is proposed by the author with the core of the paper providing a narrative description of this construct based on a wide range of literature. Finally, some suggestions for further work are identified and some conclusions drawn.