Miracle-dz/UniFAR-FTUs huggingface dataset:
An improved fuzzy model based sensorless control for six-phase induction machines

The presented paper proposes a new scheme for the speed sensorless control of six phase induction motor. This method is based on the current estimation, in which the controlled stator voltage is applied to the induction motor so that the difference between stator currents of the mathematical model and motor can be forced to decay to zero. To make a better dynamic response and reduce the transient time, conventional PI controller has improved using non-linear scale controller. Also fuzzy logic controller has been used to obtain synchronous speed and eliminate steady-state speed error. The performance of the proposed algorithm is verified through simulation.
A Novel Functional Partitioning Approach to Design High-Performance MPI-3 Non-blocking Alltoallv Collective on Multi-core Systems

Non-blocking collectives have been recently standardized by the Message Passing Interface (MPI) Forum. However, intelligent designs offered by the MPI communication runtimes are likely to be the key factors that drive their adoption. While hardware based solutions for non-blocking collective operations have shown promise, they require specialized hardware support and currently have several performance and scalability limitations. Alternatively, researchers have proposed software-based, Functional Partitioning solutions for non-blocking collectives, that rely on spare cores in each node to progress non-blocking collectives. However, these designs also require additional memory resources, and involve expensive copy operations. Such factors limit the overall performance and scalability benefits associated with using non-blocking collectives in MPI. In this paper, we propose a high performance, shared-memory backed, user-level approach based on functional partitioning, to design MPI-3 non-blocking collectives. Our approach relies on using one ``Communication Servlet (CS)" thread per node to seamlessly execute the non-blocking collective operations on behalf of the application processes. Our design also eliminates the need for additional memory resources and expensive copy operations between the application processes and the CS. We demonstrate that our solution can deliver near-perfect computation/communication overlap with large message, dense collective operations, such as MPI_Ialltoallv, while using just one core per node. We also study the benefits of our approach with a popular parallel 3D-FFT kernel, which has been re-designed to use the MPI_Ialltoallv operation. We observe that our proposed designs can improve the performance of the P3DFFT kernel by up to 27%, with 2,048 processes on the TACC Stampede system.
Title: Diversity, Differentiation and Linkage Disequilibrium: Prospects for Association Mapping in the Malaria Vector, Anopheles Arabiensis 2 3 8qq, Uk

1 Title: Diversity, differentiation and linkage disequilibrium: prospects for association mapping in 1 the malaria vector, Anopheles arabiensis 2 3 Marsden C, D. , Lee, Y. , Kreppel, K. §,† Weakley, A. , Cornel A. , Ferguson, H.M. , Eskin, E. 4 , Lanzaro, G.C. * 5 6 Vector Genetics Laboratory, Department of Pathology, Microbiology, and Immunology, School 7 of Veterinary Medicine, University of California Davis, Davis, CA 95616, USA 8 § Ifakara Health Institute, Off Mlabani Passage, P.O. Box 53, Ifakara, United republic of 9 Tanzania 10 † Boyd Orr Centre for Population and Ecosystem Health, University of Glasgow, Glasgow, G12 11 8QQ, UK 12 ‡ Department of Entomology, University of California, Davis, CA 95616, USA 13 ** Department of Computer Science, University of California Los Angeles, CA 90095, USA 14 15 Data repository: Data for this manuscript has been deposited to the sequencing read archive 16 (SRP033000) and the open access vector database POPI 17 (https://grassi2.ucdavis.edu/PopulationData/OpenProjects/AaGenome/). 18 G3: Genes|Genomes|Genetics Early Online, published on November 26, 2013 as doi:10.1534/g3.113. 008326
Protocols for Committing Mobile Transactions

Mobile computing has attracted attention of intensive researches during the recent years. Many papers revisit the conventional implementation of distributed computing paradigms for use in this new environment. A key paradigm of the transaction processing is the transaction commitment. A commitment mechanism such as Two Phases Commit (2PC) protocol, a fundamental asset of transactional technology (and its variants), ensures consistent effects of a distributed transaction. This paper surveys the solutions proposed for mobile transaction commitment and outlines how the conventional commit protocols are revisited in order to fit the needs of a mobile environment. The different approaches try to deal with the slow and unreliable wireless links, the lightweight devices and their limited resources, the frequent disconnections and the movement of mobile devices.
Vocal Ontogeny in Neotropical Singing Mice (Scotinomys)

Isolation calls produced by dependent young are a fundamental form of communication. For species in which vocal signals remain important to adult communication, the function and social context of vocal behavior changes dramatically with the onset of sexual maturity. The ontogenetic relationship between these distinct forms of acoustic communication is surprisingly under-studied. We conducted a detailed analysis of vocal development in sister species of Neotropical singing mice, Scotinomys teguina and S. xerampelinus. Adult singing mice are remarkable for their advertisement songs, rapidly articulated trills used in long-distance communication; the vocal behavior of pups was previously undescribed. We recorded 30 S. teguina and 15 S. xerampelinus pups daily, from birth to weaning; 23 S. teguina and 11 S. xerampelinus were recorded until sexual maturity. Like other rodent species with poikilothermic young, singing mice were highly vocal during the first weeks of life and stopped vocalizing before weaning. Production of first advertisement songs coincided with the onset of sexual maturity after a silent period of ≧2 weeks. Species differences in vocal behavior emerged early in ontogeny and notes that comprise adult song were produced from birth. However, the organization and relative abundance of distinct note types was very different between pups and adults. Notably, the structure, note repetition rate, and intra-individual repeatability of pup vocalizations did not become more adult-like with age; the highly stereotyped structure of adult song appeared de novo in the first songs of young adults. We conclude that, while the basic elements of adult song are available from birth, distinct selection pressures during maternal dependency, dispersal, and territorial establishment favor major shifts in the structure and prevalence of acoustic signals. This study provides insight into how an evolutionarily conserved form of acoustic signaling provides the raw material for adult vocalizations that are highly species specific.
The engineer and his profession

This inspiring book becomes one that is very booming. After published, this book can steal the market and book lovers to always run out of this book. And now, we will not let you run out any more to get this book. Why should be the engineer and his profession? As a book lover, you must know that enjoying the book to read should be relevant to how you exactly need now. If they are not too much relevance, you can take the way of the inspirations to create for new inspirations.
Teaching Repertory Grid Concepts for Knowledge acquisition in Expert Systems: An Interactive Approach

This paper details the theoretical foundations of a system for teaching repertory grid concepts and the practical approach for its implementation. This will involve a discussion of the development of the production program for KAGES (Knowledge Acquisition for Geographic Expert Systems) and the enhancements necessary to make it an effective teaching tool. Initial student reaction to the method will also be presented. The traditional approach to knowledge acquisition for expert systems has been via interview. However deeper knowledge can be elicited using repertory grid techniques which get domain experts to rank objects against concepts. The technique based on Kelly’s Personal Construct Theory has been well proven by Boose et. al (1987). The current study grew out of the development of a repertory grid program, developed for the KAGES toolkit, which will consist of several knowledge acquisition tools for use in the development of spatial expert systems. By expanding the system to show intermediate workings and grids it was found that the system was a good method of explaining repertory grid techniques and the associated hierarchical clustering which is very difficult to demonstrate using traditional techniques. The system initially interacts with the student over a chosen domain (which does not have to be geographic) to elicit a series of objects or classifications to create a grid. The domain can be either of the student’s or the facilitator’s choice. The student is then stepped through the various manipulations of the grid. These grids are then subject to hierarchical cluster analysis which the student is also stepped through until a hierarchy chart showing clustering is produced.
A software architecture framework for service robots

Service robot is a complex system, which demands a highly flexible, extensible, and maintainable software architecture framework to achieve its goals/tasks. This paper describes a software architecture framework designed to fulfill these needs. To date, the architecture has been successfully applied to the development of different service robots; Olivia, Mika and Lucas developed by A⋆STAR Social Robotics Laboratory (ASORO). These service robots have different hardware and software requirements and are exhibited in various events, including RoboCup 2010, World Cities Summit and TechFest 2010. During the course of these events, these robots successfully demonstrated the functionality of the software architecture that seamlessly integrates various robotics components in completing a challenging real-world task. Most significantly, the architecture demonstrated its flexibility, extensibility, and maintainability to different domains. These outcomes indicate that the architecture has potential to contribute towards the long term goal of intelligent service robotics in different service domains.
A multilevel contract model for dependable Feature-Oriented components

Feature-Oriented System Development is a promising and recent approach for developing domain-specific component-based systems. To be adopted in a safety-critical environment it must handle dependability requirements and offer mechanisms to ensure the reliability level of the components and the system. For this purpose, the contract-based approach is a lightweight formal method for designing and specifying systems' requirements, it can be introduced in an early stage during the design phase. In this paper, we present a multilevel contract model and a domain-specific modeling language that aims to address reliability and quality issues for component-based systems by expressing and specifying a set of its properties and constraints.
The Modern History of Exchange Rate Arrangements: A Reinterpretation

We develop a novel system of reclassifying historical exchange rate regimes. One key difference between our study and previous classifications is that we employ monthly data on market-determined parallel exchange rates going back to 1946 for 153 countries. Our approach differs from the IMF official classification (which we show to be only a little better than random), it also differs radically from all previous attempts at historical reclassification. Our classification points to a rethinking of economic performance under alternative exchange rate regimes. Indeed, the breakup of Bretton Woods had less impact on exchange rate regimes than is popularly believed.
A stochastic model for short-lived TCP flows

In this paper, we propose a new model for the slow-start phase based on the discrete evolutions on the congestion window, and we use this slow-start model together with our improved TCP steady-state model to develop an extensive stochastic model which can more accurately predict the throughput and latency of short-lived TCP connections as functions of loss rate, round-trip time (RTT), and file size. The result from simulation experiments show that our model's performance predictions are up to 20% more accurate than the predictions obtained from the models proposed in [N. Cardwell et al., Mar. 2002] and [B. Sikdar et al., 2001].
Real Estate Prices and Economic Cycles

Studies of the linkages between real estate prices and general economic conditions have an extensive history, beginning with tabulations suggesting the ways in which long swings in construction and price development were synchronized with long swings in aggregate economic activity (Gottlieb, 1976). Recent studies have explored the implications of alternative representations of investor expectations upon real estate construction and the cyclical behavior of housing prices and the rents for non-residential properties. These models trace through the effects upon supplier and demander behavior of differing price expectations in the real estate market. The earliest models tease out the dynamic paths of housing prices and commercial rents which arise from exogenous expectations about the future course of prices. More sophisticated models assume that households and firms have adaptive expectations about the future, assuming, for example, myopic behavior on the part of economic actors (in which they forecast that current conditions or current rates of change will continue into the future). In the most modern formulation of market dynamics, actors are assumed to have rational expectations. That is, in response to unanticipated shocks in the
Dynamic control of data center network and computation resources

In this paper, we present a policy for optimally balancing computing resources in a networked computing environment. In particular, we examine how to balance the computation time between tasks in a virtualized pipeline of distinct resources such as network control elements and servers. We consider a paradigm with limited resources to be divided among pipeline stages for maximum efficiency. This strategy has general applications across a range of hierarchical levels within a data center, from the classical processor pipeline to cloud-level computation tasks. Furthermore, the final control strategy can be simply implemented using a simple switching policy, establishing its suitability for high-speed applications. We show a policy iteration technique to determine and implement the this switching policy. Numerical results are presented as a demonstration of the policy iteration convergence, resulting in significant improvements from more basic control methods. Finally, we discuss potential directions for future work in efficient testing, implementation, and near-optimal approximations to our optimal control policy.
HITSZ_CDR: an end-to-end chemical and disease relation extraction system for BioCreative V

In this article, an end-to-end system was proposed for the challenge task of disease named entity recognition (DNER) and chemical-induced disease (CID) relation extraction in BioCreative V, where DNER includes disease mention recognition (DMR) and normalization (DN). Evaluation on the challenge corpus showed that our system achieved the highest F1-scores 86.93% on DMR, 84.11% on DN, 43.04% on CID relation extraction, respectively. The F1-score on DMR is higher than our previous one reported by the challenge organizers (86.76%), the highest F1-score of the challenge. Database URL: http://database.oxfordjournals. org/content/2016/baw077
Towards a framework for automatic correction of anti-patterns

One of the biggest concerns in software maintenance is design quality; poor design hinders software maintenance and evolution. One way to improve design quality is to detect and correct anti-patterns (i.e., poor solutions to design and implementation problems), for example through refactorings. There are several approaches to detect anti-patterns, that rely on metrics and structural properties. However, finding a specific solution to remove anti-patterns is a challenging task as candidate refactorings can be conflicting and their number very large, making it costly. Hence, development teams often have to prioritize the refactorings to be applied on a system. In addition to this, refactoring is risky, since non-experienced developers can change the behaviour of a system, without a comprehensive test suite. Therefore, there is a need for tools that can automatically remove anti-patterns. We will apply meta-heuristics to propose a technique for automated refactoring that improves design quality.
A multi-view approach for embedded information system security

Confidentiality and consistency are two aspects of security for information systems, but mechanisms used to ensure them often support one at the expense of the other, in particular when data is not independent of the others. A new approach of access control for information systems consists in preserving several versions of the data and performing user's actions on his own view. Doing so, the view behaves as expected with regard to invoked operations (confidentiality) while ensuring properties on data and relationships in the repository (consistency). The FLUOR1 project uses this model for its embedded information system.
Toward pro-poor policies : aid, institutions, and globalization

This annual conference has become a key event in Europe for the discussion of development issues. It is a unique platform for many of the world's finest development thinkers and experienced policymakers to present their perspectives, ideas, and to challenge researchers and senior staff of the World Bank and other organizations with their views. These papers look at a number of compelling issues surrounding the topic of development.
Time-Frequency Training OFDM using Matlab for high speed environments

Orthogonal frequency division multiplexing (OFDM) is widely recognized as the key technology for the next generation broadband wireless communication (BWC) systems. Besides high spectral efficiency, reliable performance over fast fading channels is becoming more and more important for OFDM-based BWC systems, especially when high speed cars, trains and subways are playing an increasingly indispensable role in our daily life. The time domain synchronous OFDM (TDS- OFDM) has higher spectral efficiency than the standard cyclic prefix OFDM (CP-OFDM), but suffers from severe performance loss over high speed mobile channels since the required iterative interference cancellation between the training sequence (TS) and the OFDM data block. In this paper, a fundamentally distinct OFDM-based transmission scheme called time-frequency training OFDM (TFT-OFDM) is proposed, whereby every TFT- OFDM symbol has training information both in the time and frequency domains. Simulation results also demonstrate that TFT-OFDM outperforms CP-OFDM and TDS-OFDM in high speed mobile environments. This work based on simulation using MATLAB 7.11.
Alternative Splicing Switches Potassium Channel Sensitivity to Protein Phosphorylation*

Alternative exon splicing and reversible protein phosphorylation of large conductance calcium-activated potassium (BK) channels represent fundamental control mechanisms for the regulation of cellular excitability. BK channels are encoded by a single gene that undergoes extensive, hormonally regulated exon splicing. In native tissues BK channels display considerable diversity and plasticity in their regulation by cAMP-dependent protein kinase (PKA). Differential regulation of alternatively spliced BK channels by PKA may provide a molecular basis for the diversity and plasticity of BK channel sensitivities to PKA. Here we demonstrate that PKA activates BK channels lacking splice inserts (ZERO) but inhibits channels expressing a 59-amino acid exon at splice site 2 (STREX-1). Channel activation is dependent upon a conserved C-terminal PKA consensus motif (S869), whereas inhibition is mediated via a STREX-1 exon-specific PKA consensus site. Thus, alternative splicing acts as a molecular switch to determine the sensitivity of potassium channels to protein phosphorylation.
A hybrid scheme for instantaneous recovery route design with two different coding aware scenarios

In order to reduce the required backup resources for 1+1 protection, while maintaining its instantaneous recovery advantage, two coding aware scenarios were presented, namely the traffic splitting (TS) scenario and the two sources and a common destination (2SD) scenario. Coding based 1+1 protection route design for all possible source destination pair by utilizing TS and 2SD scenarios, individually, were addressed in previous works. In those works about 15% (for 2SD) and 20% (for TS) resource saving were reported. In theory, maximum possible resource saving for 2SD scenarios is about 25% and that of for TS scenarios is about 50%. This paper proposes a hybrid scheme for coding based 1+1 protection route design for all possible source destination pairs, where the TS and 2SD scenarios are used intelligently according to the largest effective gain first policy. We evaluate our proposed scheme in several fixed network topologies. Numerical results observe that our scheme with both scenarios achieves about 26% resource saving, it is 7% higher than the worst cases when TS and 2SD scenarios are individually used in route design.
The influence of cultural identity on willingness to pay values in contingent valuation surveys

Current New Zealand resource management legislation requires local government actively recognise and take into account Māori values in resource management planning. This means the decision process and participants must interact with evidence based on Māori epistemologies. The Māori world-view is holistic in nature in that it embodies historical, environmental, and spiritual values, as well as modern experiences. Concerns arise for Māori communities when planners and developers utilise economic tools such as willingness to pay surveys to determine the total value of a proposed project. Other concerns are caused by surveys that ask a participant “are you Māori” and fail to recognise the diverse realities that exist for Māori. This paper draws from a survey of 700 respondents to identify the extent to which current conventional Contingent Valuation methodologies can measure changes in the environment where the response is culturally influenced. The influence of culture on willingness to pay decisions will be investigated using a measure of Māori identity. These cultural indicators involve assessing an individual's commitment and involvement in Māori cultural issues including: Te Reo (Māori language), whānau, other Māori, whakapapa (genealogy) and tikanga (Māori world view).
The Geography of Poor Skills and Access to Work

Despite employment growth, high levels of worklessness persist for some people and in some places. Substantial investment has been made to raise the skills levels of those who are most disadvantaged and skills policy is being embedded in regional and local economic development strategies. This study, by Anne Green and David Owen of the University of Warwick, analyses statistics from the 2001 Census on access to work for people with poor skills in the context of important changes in the industrial and occupational profile of employment and the location of jobs