Miracle-dz/UniFAR-FTUs huggingface dataset:
Neural network based near-optimal routing algorithm

Presents a neural network based near-optimal routing algorithm. It employs a modified Hopfield neural network (MHNN) as a means to solve the shortest path problem. It also guarantees a speedy computation that is appropriate to multi-hop radio networks. The MHNN uses every piece of information that is available at the peripheral neurons in addition to the highly correlated information that is available at the local neuron. Consequently, every neuron converges speedily and optimally to a stable state. The convergence is faster than what is usually found in algorithms that employ conventional Hopfield neural networks. Computer simulations support the indicated claims. The results are relatively independent of network topology for almost all source-destination pairs.
Multipath channel estimation for asynchronous random-code-division multiple-access

An estimator for slowly varying multipath channels for each user in a random-code-division multiple-access communications system is constructed and analysed. The estimator requires no training sequence and we compare the performance to the case when such a sequence is available. We show that mean square error in estimation decreases as the inverse of the sample size. It is also shown that the proposed method performs better than other known techniques applied to equivalent fixed-code systems.
Pedagogical Strategies for Task-Based Vocabulary Acquisition

Vocabulary has been the most difficult part language learners encounter in the process of their language learning and their daily communication. Nevertheless vocabulary teaching and learning has not been given due importance and has become the bottleneck in college English instruction although it is central to language learning. Task-based Instruction Approach, noted for its advanced methodology in facilitating vocabulary learning and teaching, is introduced in the vocabulary teaching implementation in this paper. By analyzing the theoretical basis and features of Task-based Instruction Approach, the author puts forward strategies for vocabulary teaching and learning as well as principles in task design with the aim of improving learners’ vocabulary acquiring competence and language competence, fostering learners’ emotional and cognitive development, and at the same time providing insights into culture of English language.
Three-dimensional regression polynomial coding for video transmission

Video processing always needs excessive computation which may cause large computing time and thus demands for heavy computing power. It also needs large storage resources and high bandwidth communication channels. Hence, the major objective of video signal processing is to reduce the amount of data computation and use the limited resource bandwidth to handle it. Regression polynomial coding (RPC) is a new compression method based on polynomial coefficients which shapes out the waveform of the block. The computation mechanism employed greatly reduces the computation with serial but not parallel processing, and it is proved that RPC is effective and suitable in low bit rate applications in the environment with limited bandwidth. With the aid of variable length coding to gain more compression, RPC would be a great technique for wireless communications.
İLKÖĞRETİM 6, 7 ve 8. SINIF ÖĞRENCİLERİNİN NOKTA, DOĞRU VE DÜZLEM KAVRAMLARINI ALGILAMA DÜZEYLERİ VE KAVRAM YANILGILARI

Bu calismanin amaci, geometrinin anlasilmasinda temel olan nokta, dogru ve duzlem kavramlari(Tanimsiz Kavramlar) ile ilgili ilkogretim 6, 7 ve 8 sinif ogrencilerinin algi duzeylerini ve kavram yanilgilarini tespit etmektir. Ilkogretim Matematik Programi cercevesinde, uzman gorusleri alinarak yari yapilandirilmis uc adet acik uclu sorularla Gorusme Protokolu (GP) olusturulmustur. GP ile ogrencilerin nokta, dogru ve duzlem kavramlar hakkindaki gorusleri alinmistir. Ogrenci gorusleri algi duzeylerine gore siniflandirilmistir.
TempNet: a method to display statistical parsimony networks for heterochronous DNA sequence data

1. Heterochronous data have been used to study demographic changes in epidemiology and ancient DNA studies, revolutionizing our understanding of complex evolutionary processes such as invasions, migrations and responses to drugs or climate change. While there are sophisticated applications based on Markov‐Chain Monte Carlo or Approximate Bayesian Computation to study these processes through time, summarizing the raw genetic data in an intuitively meaningful graphic can be challenging, most notably if identical haplotypes are present at different points in time.
Analysis of prosodic variation in speech for clinical depression

Understanding how someone is speaking can be equally important to what they are saying when evaluating emotional disorders, such as depression. In this study, we use the acoustic speech signal to analyze variations in prosodic feature statistics for subjects suffering from a depressive disorder. A new sample database of subjects with and without a depressive disorder is collected and pitch, energy, and speaking rate feature statistics are generated at a sentence level and grouped into a series of observations (subset of sentences) for analysis. A common technique in quantifying an observation had been to simply use the average of the feature statistic for the subset of sentences within an observation. However, we investigate the merit of a series of statistical measures as a means of quantifying a subset of feature statistics to capture emotional variations from sentence to sentence within a single observation. Comparisons with the exclusive use of the average show an improvement in overall separation accuracy for other quantifying statistics.
Detailed Comparison Of Numerical Flow Predictions In Cerebral Aneurysms Using Different CFD Software

Within the last decades, Computational Fluid Dynamics (CFD) simulations became increasingly important to investigate physical phenomena that are difficult to analyze experimentally. Additional advantages are lower costs and a better reproducibility. In the field of medical engineering, for instance concerning blood flows in cerebral aneurysms, computer-based approaches could open up new opportunities to support medical practitioners before high-risk interventions. In order to obtain rapidly numerical results, predictions rely on numerous assumptions and model reductions, depending on the desired accuracy. Due to the complex biological regulation mechanisms controlling the human vascular system, usually not considered in standard algorithms, the acceptance of CFD in medicine is still limited in practice. The present work compares commercial and open-source CFD software packages in order to determine their reliability for predicting medical blood flows. The focus is set on the leading product of each group, ANSYS-Fluent® and OpenFOAM®, respectively. Using a patient-specific geometry generated by means of Magnetic Resonance Imaging, the influence of spatial dicretization as well as of the solver is investigated. Furthermore, important variables like accuracy, computational costs, parallel efficiency, problem-specific model extensions and user-friendly interfaces are assessed. Finally, conclusions are drawn to highlight strengths and weaknesses of the individual software packages and more generally concerning CFD for hemodynamics.
A Study of Issues and Techniques for Creating Core Vocabulary Lists for English as an International Language

Core vocabulary lists have long been a tool used by language learners and instructors seeking to facilitate the initial stages of foreign language learning (Fries & Traver, 1960: 2). In the past, these lists were typically based on the intuitions of experienced educators. Even before the advent of computer technology in the mid-twentieth century, attempts were made to create such lists using objective methodologies. These efforts regularly fell short, however, and – in the end – had to be tweaked subjectively. Now, in the 21st century, this is unfortunately still true, at least for those lists whose methodologies have been published. Given the present availability of sizable English-language corpora from around the world and affordable personal computers, this thesis seeks to fill this methodological gap by answering the research question: How can valid core vocabulary lists for English as an International Language be created? A practical taxonomy is proposed based on Biber’s (1988, 1995) multi-dimensional analysis of English texts. This taxonomy is based on correlated linguistic features and reasonably covers representative spoken and written texts in English. The four-part main study assesses the variance in vocabulary data within each of the four key text types: interactive (face-to-face conversation), academic exposition, imaginative narrative, and general reported exposition. The variation in word types found at progressive intervals in corpora of various sizes is measured using the Dice coefficient, a coefficient originally used to measure species variation in different biotic regions (Dice, 1945). The second study proceeds to compare the most frequent vocabulary types in each of the four text types using an equal-sized collection of each text type. Of special interest is the difference between spoken and written texts. Though types are arguably the proper unit to investigate when comparing vocabulary variation, few learners would want to approach vocabulary learning one word type at a time (Nation & Meara, 2002; Bauer & Nation, 1993). The third study thus compares the effect reordering words as families (as opposed to types) has on core vocabulary lists. An analysis is made of the major differences resulting from grouping the members of each word family under a single headword and summing their individual frequencies. Methods are then discussed for how core vocabulary lists of various sizes can be constructed based on the findings of these three studies. Recommendations are made regarding the size and composition of the source corpus and the core list extraction and construction methodology based on the learning objectives.
Interference Modeling for Wireless Ad Hoc Networks

Interference effects constrain scalability performance of ad hoc networks as Gupta and Kumar (Gupta & Kumar, 2000) showed that the throughput capacity of a fixed wireless network decreases when the number of total nodes � increases. More specifically, they showed that the node throughput decreases approximately like 1 √� ⁄ . Grossglauser and Tse (Grossglauser & Tse, 2001) presented a two-phase packet forwarding technique for mobile ad hoc networks (MANETs), utilizing multiuser diversity (Knopp & Humblet, 1995), in which a source node transmits a packet to the nearest neighbor, and that relay delivers the packet to the destination when this destination becomes the closest neighbor of the relay. The scheme was shown (Grossglauser & Tse, 2001) to increase the throughput capacity of MANETs, such that it remains constant as the number of users in the network increases, taking advantage that communication among nearest nodes copes the interference due to farther nodes.
Foundations of Illocutionary Logic

This is a formal and systematic study of the logical foundations of speech act theory. The study of speech acts has been a flourishing branch of the philosophy of language and linguistics over the last two decades, and John Searle has of course himself made some of the most notable contributions to that study in the sequence of books Speech Acts (1969), Expression and Meaning (1979) and Intentionality (1983). In collaboration with Daniel Vanderveken he now presents the first formalised logic of a general theory of speech acts, dealing with such things as the nature of an illocutionary force, the logical form of its components, and the conditions of success of elementary illocutionary acts. The central chapters present a systematic exposition of the axioms and general laws of illocutionary logic.
Comments on “Re-examining the source of Heteroskedasticity: The paradigm of noisy chaotic models”

This paper is a comment on “Re-examining the source of Heteroskedasticity: The paradigm of noisy chaotic models” by kyrtsou. We summarize their results and discuss some of their conclusion. Simulation was investigated to clarify the functionality of the high dimensional dynamical system and its role in generating process.
Physical optimization algorithms for mapping data to distributed-memory multiprocessors

We present three parallel physical optimization algorithms for mapping data to distributed-memory multiprocessors, concentrating on irregular loosely synchronous problems. We also present a technique for efficient mapping of large data sets. The algorithms include a parallel genetic algorithm (PGA), a parallel neural network algorithm (PNN) and a parallel simulated annealing algorithm (PSA). An important feature of these algorithms is that they deviate from the operation of their sequential counterparts in order to achieve reasonable speed-ups and, yet, they maintain similar solution qualities. PGA has excellent speed-ups by virtue of the natural evolution model on which it is based. PSA and PNN include communication schemes adapted to the properties of the mapping problem and of the algorithms themselves for reducing the communication overhead. The performances of the three physical optimization algorithms are evaluated and compared, among themselves and with previous good algorithms, for a variety of test cases. They are found to produce high quality mapping solutions and do not show a bias towards particular problem configurations. However, they are slower than previous algorithms. Further, the comparison results show that the three algorithms are suitable for different requirements of mapping time and quality. PGA produces the best solutions, followed by PSA and then PNN. But, PNN is the fastest and PGA is the slowest. The technique proposed for large problems is based on a pre-mapping graph contraction heuristic algorithm, which results in a smaller search space. Graph contraction leads to remarkable reductions in mapping time, while maintaining good mapping qualities. It allows large-scale mapping to become efficient, especially when the physical optimization algorithms are used.
Basic Tactics for Listening

Tactics for Listening Third Edition is an activity-rich listening course with proven success in building skills in listening and conversation. Now with Tactics for Testing, it provides plenty of practice in testing and exam techniques. The result is confident listeners - and exam success. This three-level American English listening course uses short chunks and practical, relevant activities to engage and motivate students. The new Testing Program and Resource CD-ROM helps you prepare your students for TOEIC(r), STEP-EIKEN(r), IELTS(r), TOEFL(r) and GEPT(r) exams.
PENGARUH PELATIHAN DAN KALIMAT MOTIVASI TERHADAP PRODUKTIFITAS KERJA KARYAWAN UMKM

Usaha mikro kecil menengah (UMKM) sangat berperan penting dalam perkembangan ekonomi Indonesia dan diharapkan dapat menyerap tenaga kerja sehingga mengurangi penganguran yang ada di Indonesia. Keberadaan UMKM sudah tidak diragukan lagi karena mampu bertahan dan menjadi penggerak ekonomi masyarakat Indonesia. Pelaksanaan aktifitas-aktifitas bidang tersebut harus didukung dengan adanya pelatihan dan motivasi agar dapat meningkatkan produktifitas kerja seseorang maupun karyawan yang bekerja dibagian tersebut. Hal tersebut dilakukan dalam usaha memecahkan berbagai permasalahan yang dihadapi dengan cara meningkatkan dan memperdayakan berbagai usaha dibidang UMKM yang keberadaannya sangat berpengaruh didalam kemajuan ekonomi Indonesia. Tujuan penelitian ini adalah untuk menganalisis pengaruh pelatihan dan kalimat-kalimat motivasi yang digunakan oleh pemilik UMKM terhadap karyawan sehingga karyawan memiliki produktifitas kerja yang tinggi. Penelitian dilakukan di UMKM NEES Tailor dan Konveksi yang ada di Kota Malang. Metode penelitian yang digunakan adalah kuantitatif. Sistem pengumpulan data dilakukan secara mengobservasi lapangan, mendokumentasi, dan mewawancarai pemilik dan karyawan UMKM. Dari penelitian yang telah dilakukan diperoleh beberapa kesimpulan yaitu pelatihan yang telah diberikan berupa pelatihan tentang tata cara menyablon dan menjahit baju berpengaruh positif terhadap produktifitas kerja karyawan dan kalimat motivasi yang dilontarkan berpengaruh positif juga terhadap produktifitas kerja karyawan. Pekerjaan karyawan dari hari ke hari menjadi semakin baik dan karyawan merasa puas dengan penghargaan yang diberikan, baik berupa benda maupun kalimat pujian.
The Use of Blogs, Wikis and RSS in Education: A Conversation of Possibilities

In a ‘socially mobile learning environment’, it is no longer sufficient to use online learning and teaching technologies simply for the delivery of content to students. A ‘digital literacy’ exists where flexible and mobile technologies must be explored for collaborative and (co)creative purposes, as well as for the critical assessment and evaluation of information. This paper will focus on the educational possibilities of blogs, wikis and RSS feeds. Blogs and wikis are two new content development and management technologies that enable an interactive and intercreative engagement amongst students and between students and teachers. RSS is a technology for syndicating information such as the content of websites. These technologies enable desirable practices such as collaborative content creation, peer assessment, formative evaluation of student work, individual as well as group reflection on learning experiences, and up-to-date information regarding changes in collaborative spaces, and can be used in the development of authentic learning tasks. An overview of each technology will be presented with pragmatic suggestions for their incorporation into the student learning experience.
Type-secure meta-programming

This dissertation considers a new approach to embedding dynamic-typing facilities in a statically-typed functional programming language like ML, Miranda and Haskell. Currently, functional programs are limited by I/O systems that force them to convert their data structures to and from streams of characters. However, an e ective dynamic-type mechanism would help functional programming to break out of this word-at-a-time mode of I/O, by facilitating the direct storage and transmission of application data structures, making possible, for example, the communication of polymorphic functions between processes or the storage of lazy data structures in le stores. A dynamic-type mechanism is needed here to enable the input and processing of arbitrarily-typed objects into running programs in order to prevent the (statically-typed) program from going wrong. The problem with existing dynamic-type proposals is that they are either too weak (they do not support polytypes) or, as their authors admit, they are rather complicated. The proposal of this dissertation is based on a simple and e cient tag comparison scheme that takes account of polymorphic types and interacts cleanly with the main type-abstraction mechanisms used in functional programming. This scheme is founded on an old idea from languages like SASL and LISP with exclusively dynamic typing disciplines. The scheme is based on the ML type system, extended with polymorphic function arguments. Such a type system is outlined, a proposal that introduces little that is not already to be found, in essence, in established type systems and compilers. The type system is integrated into a substantial subset of the Haskell programming language before showing how the system can be applied to a number of systems programming applications. A run-time compiler interface, a mechanism for meta-programs to construct, execute and analyse object-level programs, provides signi cant technical challenges for such a type system and it forms the focus of the dissertation. The run-time compiler interface entails the replacement of a static view of modules with a dynamic module store, but this system is shown to be sound my mapping it back onto the static module system.
An ILLIAC program for the numerical simulation of homogeneous incompressible turbulence

An algorithm and ILLIAC computer program, developed for the simulation of homogeneous incompressible turbulence in the presence of an applied mean strain, are described. The turbulence field is represented spatially by a truncated triple Fourier series (spectral method) and followed in time using a fourth-order Runge-Kutta algorithm. These include: (1) transformation of variables suggested by Taylor's sudden-distortion theory; (2) implicit viscous diffusion by use of an integrating factor; (3) implicit pressure calculation suggested by Taylor's sudden-distortion theory, and (4) inexpensive control of aliasing by random and phased coordinate shifts.
Analyses and New Designs of Digital Chaotic Ciphers

=©A) Since 1980s, the idea of using digital chaotic systems to design new ciphers has attractedmore andmore attention. The use of chaos in cryptography depends on the natural relation between the two research areas: strong dynamical properties of chaotic systems implies strong cryptographical properties of cryptosystems, and the basic way to make cryptosystems have good strong cryptographical properties implies quasi-chaos (we even can find the phantom of chaos in Shanon’s classic paper on theory of secrecy systems). Basically speaking, there are two paradigms of applying chaos for secure applications: analog chaotic secure communications (mainly based on chaos synchronization technique) and digital chaotic ciphers realized in computers. This dissertation only focuses on digital chaotic ciphers, i.e., the area lying between chaos theory and pure cryptography in finite-state (digital) world. The first boom of research on digital chaotic ciphers occurred near 1990, but decayed rapidly after some negative works on the security of proposed ciphers. The research boom returned in late 1990s, andmuchmore contributions are made to get many promising achievements. Although a number of recently-proposed digital chaotic ciphers have been cryptanalyzed, many others have not been effectively attacked. Also, some general ways to digital chaotic ciphers have been proposed and more careful considerations are made to ensure their security, such as the chaotic block ciphers based on fixed or dynamic S-boxes. However, as an important issue in the design of digital chaotic ciphers, dynamical degradation of digital chaotic systems has not been seriously considered by most designers of digital chaotic ciphers. One task of this dissertation is to emphasize significance of this issue and to give some initial investigations. Our contributions in this dissertation involve the following three aspects about digital chaotic ciphers: theoretical analyses of dynamical degradation of digital chaotic systems, cryptanalyses of digital chaotic ciphers, and new proposals of digital chaotic ciphers. The main achievements contained in this disserta-