Miracle-dz/UniFAR-FTUs huggingface dataset:
Towards Rapid Development of User Defined Metaheuristics Hybridization

It has been revealed by many research studies that metaheuristics methods are useful to solve problems in many different domains. However, the implementation involves some technical hurdles such as the steep learning curve, the abundance and complexity of the algorithms, skill in programming and the lack of user friendly platform to be used for algorithm development. As new algorithms are being developed, there are also those that come in the form of hybridization of multiple existing algorithms. We reckon that there is also a need for an easy, flexible and effective development platform for user defined metaheuristic hybridization. In this article, a comparative study has been performed on several metaheuristics software frameworks. Results show that the available software frameworks are not adequately designed for users to easily develop hybridization algorithms. After the literature reviews, we propose a framework design that will help bridging the gap. We foresee the potential of scripting language as an important element that will help improve existing software framework with regards to the ease of use, rapid algorithm design and development.
Comparison of motion compensation using different degrees of sub-pixel accuracy for interfield/interframe hybrid coding of HDTV image sequences

The bit rates for interfield/interframe hybrid coding of high-definition television (HDTV) image sequences with motion compensation using 1, 1/2, 1/4, and 1/8 pixel accuracy. Three sets of HDTV image sequences with panning, zooming, local motion and different spatial details are tested. The coding performance of bilinear interpolation is compared to Lagrange interpolation for obtaining sub-pixel precision. A means for finding the best matching motion block and obtaining the subpixel image values which dramatically reduces simulation times is discussed. <<ETX>>
DELAY ANALYSIS OF THREE ARQ PROTOCOLS IN GEOM/G/1 QUEUE MODEL

In this paper, we study the performance of the classical SW-ARQ, multichannel SW-ARQ and GBN-ARQ in discrete-time Geom. /G/1 queue with setup mechanism. Based on the method of embedded Markov chain, the expressions of the packet average waiting delay, system average delay and channel utilization are respectively obtained. Finally, by numerical examples, we analyze the influences of packet length, the successful transmission probability and packet arrival rate on system average delay. The numerical simulation results show that the system delay could be lower by choosing an appropriate ARQ protocol.
Osteomielitis por Yokenella regensburgei después de una craneotomía en una paciente inmunocompetente

The gram-negative bacillus Yokenella regensburgei (of the Enterobacteriaceae family) can be found in groundwater and foodstuffs, as well as the digestive tracts of insects and reptiles. Although it has been isolated from humans since its original description, it has rarely been reported as a cause of infection, and then, only in immunosuppressed patients. We report the first case of post-surgical secondary osteomyelitis due to Y. regensburgei in an immunocompetent woman who had undergone a craniotomy.
A new adaptive equalizer with channel estimator for mobile radio communication

For unknown mobile radio channels with severe intersymbol interference (ISI), a maximum likelihood sequence estimator, such as a decision feedback equalizer (DFE) having both feedforward and feedback filters, needs to handle both precursors and postcursors. Consequently, such an equalizer is too complex to be practical. This paper presents a new reduced-state, soft decision feedback Viterbi equalizer (RSSDFVE) with a channel estimator and predictor. The RSSDFVE uses maximum likelihood sequence estimation (MLSE) to handle the precursors and truncates the overall postcursors with the soft decision of the MLSE to reduce the implementation complexity. A multiray fading channel model with a Doppler frequency shift is used in the simulation. For fast convergence, a channel estimator with fast start-up is proposed. The channel estimator obtains the sampled channel impulse response (CIR) from the training sequence and updates the RSSDFVE during the bursts in order to track changes of the fading channel. Simulation results show the RSSDFVE has nearly the same performance as the MLSE for time-invariant multipath fading channels and better performance than the DFE for time-variant multipath fading channels with less implementation complexity than the MLSE. The fast start-up (FS) channel estimator gives faster convergence than a Kalman channel estimator. The proposed RSSDFVE retains the MLSE structure to obtain good performance and only uses soft decisions to subtract the postcursor interference. It provides the best tradeoff between complexity and performance of any Viterbi equalizers.
An overview of third generation mobile communications systems: IMT-2000

IMT-2000 represents a convergence of terminal and personal mobility in accordance with the UPT concept. It is intended that IMT-2000 compliant systems will be introduced from the year 2000, with some services or features possibly implemented earlier with the evolution of current terrestrial GSM networks. This paper provides an overview of IMT-2000.
DESAIN INTEGRASI LEARNING CONTENT MANAGEMENT SYSTEM PADA CLOUD-BASE SISTEM INFORMASI SEKOLAH SEBAGAI PENINGKATAN KEUNGGULAN DAYA SAING

Mahalnya sarana dan prasarana fisik membuat pendidikan di Indonesia sulit berkembang. Efisiensi dan efektifitas pengelolaan sarana pendidikan menjadi hal utama yang seharusnya menjadi prioritas pembangunan pendidikan yang murah namun berkualitas. Penggunaan Learning Content Management System (LCMS) berpeluang menurunkan biaya pendidikan dan efektif mengelola proses pembelajaran yang dapat meningkatkan kualitas pendidikan. Sistem Informasi Sekolah (SIS) merupakan sarana pengelolaan sumberdaya yang baik untuk meminimalisir biaya pengelolaan pendidikan. Kedua sistem ini dirasa mampu meningkatkan kualitas pendidikan. Namun keduanya berdiri sendiri, tidak terintegrasi dan berdampak pada tidak maksimalnya penggunaan dan pengelolaan sumber daya organisasi. Cloud computing mampu memfasilitasi beragam platform sistem yang dapat digunakan untuk kemudahan penggunaan dan pengelolaan resources. Penelitian ini dilakukan untuk mendesain integrasi LMS dan SIS kedalam cloud computing environment guna peningkatan efektifitas dan efisiensi pengelolaan pendidikan sehingga dapat meningkatkan kualitas dan daya saing kompetitif lembaga dalam dunia pendidikan.
Bi-text Topography and Quantitative Approaches of Parallel Text Processing

This paper presents a series of experiments devoted to the development of new tools for multilingual textometric exploration of translation corpora. I propose to use bi-text topography to facilitate the study of lexical equivalences on a quantitative basis. The map of parallel sections allows for the visualization of the corpus cut into corresponding sections by raising one (or several) characters to the rank of parallel section delimiters. The exploratory results show that the use of quantitative methods (characteristic elements computation, repeated segments extraction, multiple co-occurrences, etc.) in combination with bi-text topography offers new means for automatic description of lexical equivalences in translation corpora. The suggested approach opens up new horizons for interactive exploration of translation resources of multilingual texts in a variety of fields of study: translation, foreign language learning and teaching, bilingual terminology, lexicography, etc.
Runtime Access Control in C# 3.0 Using Extension Methods ?

Encapsulation is one of the most important features of object- oriented programming. Reducing the interface where software compo- nents can communicate with each other increases software quality, secu- rity and decreases development cost. Compile time or runtime visibility and access control checking that support encapsulation is the key part of modern languages and runtime environments. They enforce respon- sibility separation, implementation and security policies. Most modern programming languages like C++, C# and Java do not have sophisti- cated access control mechanisms. They employ a subset or combination of public, private, protected, internal, and friend access modifiers. How- ever, this is not true for the Eiffel programming language that defines sophisticated selective access control called selective export. In this paper first we describe the existing access control features of C++, C#, Java, Eiffel and other popular programming languages. After that we show an example where the current access control features of C# (and most object-oriented languages) are insufficient. We introduce amethod level access control checking mechanism to C# 3.0 using extension methods. Our method is able to enforce Eiffel-like selective export in runtime. The implementation does not require the modification of the compiler and the caller, only the callee, and introduces minimal syntactic and per- formance overhead. It can be a practical solution for modular systems where runtime security is important.
The processing of word prosody in Japanese

The prosodic structure of Japanese polysyllabic words is defined by patterns of high and low pitch accents. The present study investigated whether the accent level of a single syllable extracted from its word context can be reliably identified by listeners. 96 tokens of the same CV sequence, extracted from the utterances of 32 words by three speakers, were presented to 24 listeners; their correct identification rates were high. Scores were higher for word-initial than for word-final syllables, and acoustic correlates of accent level were stronger in word-initial syllables, which is consistent with a role for pitch accent information in lexical access in Japanese.
Mobility Performance of LTE-Advanced Heterogeneous Networks with Control Channel Protection

Recent studies reveal that mobility in heterogeneous environments is more challenging than in conventional macroonly networks, due to potentially more complicated interference scenarios, steeper SINR degradation as user devices enter or leave small cells, and so on. The paper aims at analyzing the mobility enhancement in heterogeneous networks (HetNet) via control channel interference mitigation supported by LTE Rel-10 and above. Specifically, we investigate the impacts of time-domain dynamic almost blank subframe (ABS) coordination and frequency-domain partitioning combined with cross-carrier scheduling. A detailed performance comparison in terms of the handover failure rate and ping-pong rate is provided. Furthermore, we propose a method of control region planning for HetNet deployment, exploiting the cross-scheduling properties. The evaluation is carried out by system level simulation following the general assumptions and agreed models in 3GPP.
IntelWiki - Recommending Reference Materials in Context to Facilitate Editing Wikipedia

Participation in contributing content to online communities remains heavily skewed. Yet little research has focused on lowering the contribution effort. I describe a general approach to facilitating user-generated content within the context of Wikipedia. I also present the IntelWiki prototype, a design and implementation of this approach, which aims to make it easier for users to create or enhance the free-form text in Wikipedia articles. The IntelWiki system i) recommends article-relevant reference materials, ii) draws the users’ attention to key aspects of the recommendations, and iii) allows users to consult the recommended materials in context. A laboratory evaluation with 16 novice Wikipedia editors revealed that, in comparison to the default Wikipedia design, IntelWiki’s approach has positive impacts on editing quantity and quality. Participants also reported experiencing significantly lower mental workload while editing with IntelWiki and preferred the new design.
Enhanced predictive fast power control for 3G systems

Radio resource management is of great importance for future wireless communication system. One of the critical radio resources is power. Power control function assigns transmission power to the users so that the quality of the transmission is good and the level of the interference is low. The power control loop is one of the parts of the system, which determines unstable behaviour. Fast power control tries to compensate the effect of deep fading or so called Rayleigh fading. A new approach presented in the paper is to apply an adaptive self-tuning predictor algorithm for fast power control. The predictive value of received power is used by the control to decide the new power control command. The practical constraints are taken into account. The system is utilised with a back-up controller. The goal of implementing the new enhanced predictive algorithm for fast power control is to improve the quality of the transmission for the active users in the system.
Java virtual machine for resource constrained environments

Java-enabled mobile phones are dominating today's market. Java is becoming the language of choice for personal mobile information devices such as smart phones and PDAs. This great success can be attributed to several factors, including portability, safety, ease of programming, and mature developer community. Java Virtual Machine (JVM) is the key component of Java technologies; its quality, in terms of energy efficiency, memory requirement, performance and reliability, has critical impact on the future success of Java technologies in the market of personal information devices. This thesis addresses the four critical issues in the design of a Java Virtual Machine for resource constrained devices: improving energy efficiency, reducing memory requirements, improving performance, and enhancing reliability.
System Complexity Reduction via Feature Selection

This dissertation transforms a set of system complexity reduction problems to feature selection problems. Three systems are considered: classification based on association rules, network structure learning, and time series classification. Furthermore, two variable importance measures are proposed to reduce the feature selection bias in tree models. Associative classifiers can achieve high accuracy, but the combination of many rules is difficult to interpret. Rule condition subset selection (RCSS) methods for associative classification are considered. RCSS aims to prune the rule conditions into a subset via feature selection. The subset then can be summarized into rule-based classifiers. Experiments show that classifiers after RCSS can substantially improve the classification interpretability without loss of accuracy. An ensemble feature selection method is proposed to learn Markov blankets for either discrete or continuous networks (without linear, Gaussian assumptions). The method is compared to a Bayesian local structure learning algorithm and to alternative feature selection methods in the causal structure learning problem. Feature selection is also used to enhance the interpretability of time series classification. Existing time series classification algorithms (such as nearest-neighbor with dynamic time warping measures) are accurate but difficult to interpret. This research leverages the time-ordering of the data to extract features, and generates an effective and efficient classifier referred to as a time series forest (TSF). The computational complexity of TSF is only linear in the length of time series, and interpretable features can be extracted. These features can be further reduced, and summarized for even better interpretability. Lastly, two variable importance measures are proposed to reduce the feature selection bias in tree-based ensemble models. It is well known that bias can occur when predictor attributes have different numbers of values. Two methods are proposed to solve the bias problem. One uses an out-of-bag sampling method called OOBForest, and the other, based on the new concept of a partial permutation test, is called a pForest. Experimental results show the existing methods are not always reliable for multi-valued predictors, while the proposed methods have advantages.
Expression and Interpretation of Negation: An OT Typology

© 2012 by the English Linguistic Society of Japan * I am very grateful to Jennifer L. Smith for her generous support to this review work. Her careful comments and insightful suggestions helped me understand the content more deeply. I could not have completed this project without the meaningful discussions with her. I also thank the reviewer for the careful comments and suggestions, which were very helpful in finishing this article. Of course, any remaining errors are mine.
[Sociodemographic Factors Related to Plasma Concentrations of 25-OH Vitamin D and PTH in Cord Blood].

BACKGROUND Plasma 25(OH)D levels in the newborn are dependent on maternal stores, thus, neonates of vitamin D-deficient mothers present a greater risk of hypocalcaemia, rickets and infections the first year of life. Several studies showing a high prevalence of vitamin D deficiency in pregnant women have been published recently. The aim of the study is to analyze the levels of 25(OH)D in cord blood and determine whether there is a relation with nutritional, socioeconomic and clinical factors of pregnant women and their newborns. METHODS Between March and May 2013, 99 pregnant women were recruited in Hospital del Mar (Barcelona), in whom plasma 25(OH)D and PTH levels were measured in cord blood at birth. Clinical history data were collected and a nutritional survey was made on maternal vitamin D and calcium intake and sun exposure. Statistical analysis was performed using SPSS. Comparisons were performed using Kruskal-Wallis and Mann-Whitney U tests, and correction for multiple comparisons using Bonferroni. P value <0.05 and <0.0083 for multiple comparisons were considered statistically significant. RESULTS Mean 25(OH)D value in cord blood was 10.4 ± 6 . 1 ng/ml. 94% of pregnant women had 25(OH)D levels in cord blood <20 ng/ml. Vitamin D and calcium intake was considered adequate in 92% although sun exposure was deficient in 47%. A correlation between serum 25(OH)D and vitamin D (p 0.033) and calcium intake (p 0.005), sun exposure (p<0.001), ethnicity (p<0.001), skin phototype (p<0.001) and use of traditional clothing (p<0.001) was found. CONCLUSIONS There is a high prevalence of low levels of vitamin D after winter months in cord blood. The lowest 25(OH D levels were observed in Indo-Pakistani ethnicity, dark phototype and deficient sun exposure.
Byzantine Fault Tolerance for Coordination of Web Services in Cloud

Cloud computing is a developing computing paradigm. It aims to share data, controls and service clearly over an available network of nodes. Since cloud computing repository the data and spread resources in open environment. In our project, the composite of web services should be stored in the cloud by using the coordination of web services. The coordination of web service business activities should be reliable by using the Lightweight Byzantine Fault Tolerance (BFT) algorithm. This algorithm is the outcome of a complete analysis of the threats to the WS-BA coordination services and also it carefully study about the state model of WS-BA. The lightweight BFT is need not to perform total ordering of request rather than it customs source ordering to achieve reliable coordination of WS-BA, statemachine replication of the WS-BA coordination service. Keywords— Byzantine Fault Tolerance (BFT); Cloud Computing; Distributed Computing; Web Services.
Survey Paper On Resource Discovery Model In Grid Computing

Grids are geographically distributed platforms composed of heterogeneous resources that users can access via a single interface, providing common resource-access technology and operational services across widely distributed and dynamic virtual organizations, i.e., institutions or individuals that share resources. Resources are generally meant as reusable entities employable to execute applications, and comprise processing units, secondary storage, network links, software, data, special-purpose devices, etc. Resource discovery in grid systems is a fundamental task which provides searching and locating necessary resources for given processes. There are many different approaches in literature for this problem. In this paper we propose a survey of different grid resource discovery techniques which are widely used approaches that has resulted in many tools to become de facto standards of today’s grid resource management. We also give a comparative study of different resource discovery techniques.
Working Memory, Processing Speed, and Executive Memory Contributions to Computer-Assisted Second Language Learning

How individual differences in information processing affect second language (L2) learning has been unclear in prior research. Adults lacking prior skill in Swedish were pretested for working memory, processing speed, and executive memory capacity. Participants then received 6 computer-based instructional sessions with pictorial animations of Swedish sentences, with a built-in experimental contrast between some lessons at high and some at low rates of presentation. The faster rate carried greater processing demands for the learners. Higher levels of Swedish performance during Instructional sessions were associated with higher working memory levels, as expected from widely-used models of working memory (e.g., Baddeley & Hitch, 1994). In contrast, results at demanding long-term retrieval on a posttest were more complex and revealed several dynamic relationships between processing speed, working memory, and Swedish language learning. Learners with low rather than high working memory showed higher L2 skills at long-term testing when instructional lessons had employed fast animations. This first-time demonstration that prior cognitive profiles strongly influence learners’ progress in second language requires refinements in existing theories.
Evaluation of a Self Commutated Switched Reluctance Motor

Self synchronisation of a single stack four phase variable reluctance stepping motor is discussed. Ecoderless operation is examined together with a method for obtaining the necessary self positional feedback. Certain distinct operating characteristics which restrict the performance of the motor are observed during four phase operation. These characteristics are explained in terms of the stator pole configuration, and the significant mutual inductances between phases inherent in a single stack motor.
Computational tools for global aerodynamic modeling and nonlinear control

The paper details the development of computational tools for aerodynamic modeling and their use in nonlinear control analysis. We have developed a framework that allows a variety of techniques and data to be incorporated during the model development process. The primary technique for developing models uses multivariate orthogonal polynomials to extend the validity of the models into flight regimes where nonlinear effects can be pronounced. Model reduction techniques have also been used to generate models for control studies. These techniques can be used to identify parametric and structured nonlinearities of interest. We have created software for the transfer of these models to MATLAB/Simulink for control design validation and simulation. Open architecture software has been developed providing engineers the ability to integrate and automate several key steps in the design cycle. The work aims to address the critical need to obtain the simplest mathematical model which can capture the essential dynamical characteristics of air vehicles for nonlinear analyses and control system design.