Miracle-dz/UniFAR-FTUs huggingface dataset:
The craft of translation

Written by some of the most distinguished literary translators working in English today, these essays offer new and uncommon insights into the understanding and craft of translation. The contributors not only describe the complexity of translating literature but also suggest the implications of the act of translation for critics, scholars, teachers, and students. The demands of translation, according to these writers, require both comprehensive scholarship in preparing to translate a text and broad creativity in recreating the text in a new language. Translation, thus, becomes a model for the most exacting reading and the most serious scholarship. Some of the contributors lay bare the rigorous methods of literary translation in comparisons of various translations of the same piece; some discuss the problems of translating a specific passage; others speak about the lessons learned over the course of a career in translation. As these essays make clear, translators work in the space between languages and, in so doing, provide insights into the ways in which a culture makes the world verbal. Exemplary readers both of authors and of their individual works, the translators represented in this collection demonstrate that the methodologies derived from the art and craft of translation can serve as a model to revitalize the interpretation and understanding of literary works. Readers will find the opportunity to look over the shoulders of the translators gathered together in this volume an exciting and surprising experience. The act of translation emerges both as a powerful integration of linguistic, semantic, cultural, and historical thinking and as a valuable commentary on how we communicate both within a culture and from one culture to another.
Construction of Embedded Data Synchronization Gateway

Nowadays, the major manufacturer of the mobile devices has offered its own solution for the data synchronization. But each manufacturer uses its proprietary data synchronization method so that the compatibility of data can not be guaranteed. To solve such problems, a gateway is needed to convert different forms of data into a unified form of data and vice versa. Some problems have been found in the experiments with the previously implemented gateway. First, a bottleneck state might arise if a number of mobile devices request data synchronization simultaneously. Second, the gateway itself would become a serious vulnerable point to an attack during the process of converting received data. The proposed gateway can solve this bottleneck state and security issue since it converts data and processes synchronization request in a mobile device. In this paper, the proposed gateway is constructed and the results of some experiments with the gateway are presented. According to the results, the proposed gateway operates properly and it is relatively insensitive to the bottleneck state.
Tense, aspect and temporal reference

English exhibits a rich apparatus of tense, aspect, time adverbials and other expressions that can be used to order states of affairs with respect to each other, or to locate them at a point in time with respect to the moment of speech. Ideally one would want a semantics for these expressions to demonstrate that an orderly relationship exists between any one expression and the meanings it conveys. Yet most existing linguistic and formal semantic accounts leave something to be desired in this respect, describing natural language temporal categories as being full of ambiguities and indeterminacies, apparently escaping a uniform semantic descrip-
Control of chaos-a survey

Controlling chaos is a new concept, which has drawn much attention from the communities of engineering, physics, chemistry, biomedical sciences, mathematics, and social sciences. This paper offers an overview of different approaches to the control of chaos for various nonlinear dynamic systems. The purpose of presenting this survey is to further promote new efforts devoted to this challenging and promising field of research, as well as its potential applications, in nonlinear systems science and engineering. <<ETX>>
Reducing lag in virtual displays using multiple model adaptive estimation

A multiple model adaptive predictor is applied to a virtual environment flight simulator to remove the effect of computational and scene-rendering delay time. Angular orientation of the user's head is predicted for a period of time into the future, so that the scene can be rendered appropriately by the time the user actually looks in that direction. Single nonadaptive predictors cannot adequately cover the dynamic range of head motion. By using three dissimilar models of head motion upon which to base the individual elemental filters within the multiple model adaptive estimator (MMAE) algorithm, an MMAE is designed which outperforms the nonadaptive Kalman predictor proposed by Liang (1991).
Association Rule Discovery Considering Strategic Importance: WARM

This paper presents a weight adjusted association rule mining algorithm (WARM). Assigning weights to each strategic factor and normalizing raw scores within each strategic factor are the key ideas of the presented algorithm. It is an extension of the earlier algorithm TSAA (transitive support association Apriori) and strategic importance is reflected by considering factors such as profit, marketing value, and customer satisfaction of each item. Performance analysis based on a real world database has been made and comparison of the mining outcomes obtained from three association rule mining algorithms (Apriori, TSAA, and WARM) is provided. The result indicates that each algorithm gives distinct and characteristic behavior in association rule mining.
Aktivitas Antiinflamasi Ekstrak Daun Kerehau (Callicarpa longifolia L.)

Penelitian mengetahui Akitivitas Antiinflamasi dari ekstrak daun Kerehau (Callicarpa longifolia Lamk). Metode yang digunakan pada pengujian antiinflamasi adalah metode Pletismometer. Ekstrak metanol daun kerehau memiliki aktivitas sebagai antiinflamasi terhadap peradangan atau inflamasi. Konsentrasi yang diujikan yaitu dosis 250 mg, 300 mg, 350 mg dengan kontrol positif Deksametasone dan negatif aqua destillata. Berdasarkan pengukuran penurunan radang inflamasi terdapat perbedaan bermakna antara perlakuan dan kontrol, dari hasil pengukuran menunjukan bahwa konsentrasi dosis 250 mg adalah konsentrasi yang paling efektif, Dilakukan juga uji metabolit sekunder daun kerehau diperoleh hasil uji positif mengandung metabolit sekunder tannin, saponin flavanoid dan alkaloid.
High resolution radar target identification

The application of neural networks to the synthetic aperture radar (SAR) automatic target recognition (ATR) problem is discussed. In particular, initial studies investigating the use of an ART-2 self organizing neural-network in a 2-D SAR ATR system are summarized. The performance of the new neural net pattern-matching algorithm is compared with that of the baseline correlation pattern matching algorithm developed previously. This comparison includes evaluating the ability of the pattern matcher to reject nontargets (clutter discretes) and to classify the remaining detections into tank/APC/Howitzer categories. <<ETX>>
Convolutional Neural Network Feature Reduction using Wavelet Transform

Paper describes wavelet transform possible application for convolutional neural networks (CNN). As it already known, wavelet transform gives good signal representation in time and frequency domains. This can be useful for CNN input feature reduction as well as architecture simplicity by using only part of coefficients. The result of work is set of experiment which enables to configure out the most appropriate coefficient part. After feature reductions and architecture simplicity achieved configuration could classify data almost ten times faster than original. DOI: http://dx.doi. org/10.5755/j01.eee. 19.3. 3698
Mathematical Concepts and Maple Animations

Maple is a mathematics software package, which contains graphic, computation, and programming tools. Maple animation is a powerful tool that can help in comprehending many fundamental concepts in mathematics and other sciences. This paper deals with the use of maple animation to demonstrate many fundamental concepts in mathematics that are difficult to explain verbally or through static figures. We show Maple animations effectively convey different concepts. We present problems taken from the literature to exemplify and explain Maple animation procedures. Using Maple in teaching mathematics facilitates the students with a tool to experiment and visualize complicated mathematical concepts and thus, strengthen their grasp of the subject.
Trellis-coded pulse amplitude modulation for indoor visible light communication

Trellis-coded pulse-amplitude modulation (TC-PAM) is applied in visible light communication (VLC) system using RGB-LED. Based on natural modulation, we propose a modified modulation to yield performance enhancement. Further, a decoding method of combing soft-decision Viterbi algorithm with most significant bit (MSB) decoding is developed. Finally, the results of Monte-Carlo simulation are presented to verify the best modulation and decoding method among the mentioned modulation and decoding techniques.
High-Performance Force Control Based on Virtual Bilateral Control Structure

This paper proposes a new force control based on a bilateral control structure. Improvements in motion control technology, including force control, are important to realizing a human support robotic system. Conventionally, robot systems require high-precision positioning accuracy. In the near future, however, robots will need to be involved in human society directly. In this case, force control with high precision is an essential part of robot system control. For a complex system, raising the controller gain and bandwidth is not easy. In the proposed system, a virtual position control loop is constructed in a conventional force control to assist with ideal acceleration control. With the proposed system, high-accuracy force control and a control band can be achieved with superior performance compared to conventional systems.
Implementation of TD-LTE Downlink Channel Estimation Based on DSP

The implementation based on DSP (Digital Signal Processor) plays an important role in the LTE protocol development. Firstly, this paper introduces the generation process and mapping location of time-frequency of cell-specific reference signals and chooses LS algorithm to carry on the channel estimation after weighed the DSP implementation complexity and algorithm performance. Secondly, describes the design and implementation of the channel estimation key modules in the perspective of memory allocation, operation cycles and competition accuracy. Finally, the performance analysis and BER results show that the proposed scheme can not only meet the requirements of real-time processing but also provide superior performance.
Research on Ontology Construction Automatically in the Law Field

In this information society, the traditional method of ontology construction can’t meet the demand for researchers. Because it’s a difficult task to build ontology by hands. The research of automatical construction of ontology is still in the primary stage, especially in the law field. Considering the above condition, this paper gives a Research on Ontology Construction Automatically in the Law Field; we put forward the method of using LLR formula in the step of term abstraction to improve the precision and applying K-means clustering algorithm to obtain better relations of concepts hierarchy. Compared with the approach of constructing ontology by hands, it gets better effect on the law ontology.
Meteor automatic imager and analyzer: current status and preprocessing of image data

In this paper we present current progress in development of new observational instruments for the double station video experiment called MAIA (Meteor Automatic Imager and Analyzer). The main goal of the MAIA project is to monitor activity of the meteor showers and sporadic meteors. This paper presents detailed analysis of imaging parameters based on acquisition of testing video sequences at different light conditions. Among the most important results belong the analysis of opto-electronic conversion function and noise characteristics. Based on these results, requirements for image preprocessing algorithms are proposed.
A practical and dynamic key management scheme for a user hierarchy

In this paper, we proposed a practical and dynamic key management scheme based on the Rabin public key system and a set of matrices with canonical matrix multiplication to solve the access control problem in an arbitrary partially ordered user hierarchy. The advantage is in ensuring that the security class in the higher level can derive any of its successor’s secret keys directly and efficiently and show it is dynamic while a new security class is added into or a class is removed from the hierarchy. Even the ex-member problem can be solved efficiently. Moreover, any user can freely change its own key for some security reasons.
There is More to Communication than Tongue Placement and ‘Show and Tell’: Discussing Communication from a Speech Pathology Perspective

Speech pathologists are typically described as communication specialists whose prime focus is to work with people who have communication disorders. Speech pathology is often described as a communication science. The key to understanding how speech pathologists conceptualize communication lies in understanding how speech pathologists as a profession deal with the notion of what constitutes effective communication. Typically speech pathologists identify communication as effective when both the speaker and the listener have executed their roles to an age expected level within the biological capabilities of the individual. The way speech pathologists talk about communication identifies their conceptualization of communication as primarily a biological process. Speech pathologists also use the language of descriptive linguistics to describe the specific aspects of an individual's communication system but this use of linguistic terminology occurs in such a way that it too becomes another means of defining communication in terms of biology. This definition fits neatly within the realm of the health sciences which is where speech pathology is typically situated as speech pathology tends to follow a medical model in relation to the identification and treatment of communication disorders. Duchan describes the medical view of diagnosis as, ‘locating the problem within the individual, preferably within the person's biological system’. Given that communication is not only a biological phenomenon, this somewhat narrow conceptualization of communication can be problematic when applied to the many and varied situations in which speech pathologists are required to describe an individual's communication system.
Bibliographic Citation Management Software for Web Applications

SUMMARY The bibliographic citation management software librarians already use to support scholarly research can also be used to deliver databases to the Web. Scott Memorial Library at Thomas Jefferson University uses a combination of Reference Manager and Reference Web Poster to publish indexes to bibliographic literature, and searchable lists of electronic journals and frequently asked questions (FAQs). This approach to serving data is suitable for materials of a bibliographic nature and/or for low budgets. To get started, all that is required is a copy of a citation management program, such as Reference Manager, EndNote, ProCite or Biblioscape. Any of these will produce static pages coded in HTML. Optional additional packages (Reference Web Poster or BiblioWeb Server) provide interactive Web-based searching.
A 10-bit wide-band CMOS direct digital RF amplitude modulator

This paper describes a low-distortion wide-band CMOS direct digital RF amplitude modulator, which uses a 10-bit linear interpolation current-steering digital-to-analog converter (DAC) and a Gilbert-cell-based mixer to generate an amplitude modulated RF signal directly. The linear interpolation increases the attenuation of the DAC's image components. The reconstruction filter is, therefore, eliminated. The DAC's differential current signals are directly sent to the mixer, which improves the linearity of the modulated RF signal. Thus, the RF transmitter structure is simplified, and the low distortion is achieved. This modulator is suitable for system-on-chip (SOC) design and is easily scalable. The chip was fabricated in a 0.35-/spl mu/m 3.3-V double-poly triple-metal CMOS process. The core size of the chip is 0.52 mm/spl times/0.68 mm. With a 3.3-MHz modulation signal, a 50-MHz clock, and a 1-GHz carrier, the distortion components are below -53.81 dBc, and the attenuation of the image signal is 47.45 dB. The output power is -6.5 dBm, and the total power consumption is 159.8 mW.
ADAPTIVE RESOURCE CONTROL Machine Learning Approaches to Resource Allocation in Uncertain and Changing Environments

The dissertation aims at studying resource allocation problems (RAPs) in uncertain and changing environments. In order to do this, first a brief introduction to the motivations and classical RAPs is given in Chapter 1, followed by a section on Markov decision processes (MDPs) which constitute the basis of the approach. The core of the thesis consists of two parts, the first deals with uncertainties, namely, with stochastic RAPs, while the second studies the effects of changes in the environmental dynamics on learning algorithms. Chapter 2, the first core part, investigates stochastic RAPs with scarce, reusable resources and non-preemtive, interconnected tasks having temporal extensions. These RAPs are natural generalizations of several standard resource management problems, such as scheduling and transportation ones. First, reactive solutions are considered and defined as policies of suitably reformulated MDPs. It is highlighted that this reformulation has several favorable properties, such as it has finite state and action spaces, it is aperiodic, hence all policies are proper and the space of policies can be safely restricted. Proactive solutions are also proposed and defined as policies of special partially observable MDPs. Next, reinforcement learning (RL) methods, such as fitted Q-learning, are suggested for computing a policy. In order to compactly maintain the value function, two representations are studied: hash tables and support vector regression (SVR), particularly, ν-SVRs. Several additional improvements, such as the application of rollout algorithms in the initial phases, action space decomposition, task clustering and distributed sampling are investigated, as well. Chapter 3, the second core part, studies the possibility of applying value function based RL methods in cases when the environment may change over time. First, theorems are presented which show that the optimal value function and the value function of a fixed control policy Lipschitz continuously depend on the immediate-cost function and the transitionprobability function, assuming a discounted MDP. Dependence on the discount factor is also analyzed and shown to be non-Lipschitz. Afterwards, the concept of (ε, δ)-MDPs is introduced, which is a generalization of MDPs and ε-MDPs. In this model the transitionprobability function and the immediate-cost function may vary over time, but the changes must be asymptotically bounded. Then, learning in changing environments is investigated. A general relaxed convergence theorem for stochastic iterative algorithms is presented and illustrated through three classical examples: value iteration, Q-learning and TD-learning. Finally, in Chapter 4, results of numerical experiments on both benchmark and industryrelated problems are shown. The effectiveness of the proposed adaptive resource allocation approach as well as learning in presence of disturbances and changes are demonstrated.
Wavefront control testbed integrated software system

The Wavefront Control Testbed (WCT) is used to demonstrate the wavefront sensing and control algorithms and procedures that will be used on the Next Generation Space Telescope (NGST). The Segmented Telescope Control Software, written in MATLAB®, is the primary development and operational tool used. The software has an extensive graphical user interface that allows the user to interact with the hardware and algorithms. A variety of additional software programs support the Segmented Telescope Control Software (STCS). Various hardware control software interacts with MATLAB via TCP/IP connections. When access to the hardware is unnecessary or undesirable, we can access the model server that simulates the system. A stand-alone safety monitoring LabVIEW program alerts technicians if a hardware failure occurs. A C program gives the operator a graphical way of monitoring the network connections to the various systems. An Interactive Data Language (IDL) data archiving routine creates a database to monitor and maintain the testbed data and executes the MATLAB to Flexible Image Transport System (FITS) translator. Additionally we have implemented a web-based bug tracking and plan to add experiment scheduling and a document archive. Due to the nature of the testbed, these software programs are constantly evolving, causing a variety of challenges over the years. This poster will describe these software elements and the issues that have arisen trying to use them together.
Using a Collaborative Learning Technique as a Pedagogic Intervention for the Effective Teaching and Learning of a Programming Course

Educators are faced with ever increasing challenges when teaching programming. The increase in the number of operating systems brings with it challenges for programmers because of the change in programming paradigms, programming languages and software suites that are dependent on most recent developments in technology and more so operating systems. The issue for educators maybe to move away from teacher centred teaching and learning to student centred learning. Pair programming is a technique that offers educators an opportunity to further enhance student centred learning. This study conducted an empirical study of “pair programming” in the teaching and learning of an introductory programming course in computer science with input from educators and learners. The purpose was to determine how a collaborative learning technique can be used as a pedagogic intervention for effective teaching and learning of a programming course. The study attempted to determine the impact of collaborative pair programming on students and whether Information Technology educators can use pair programming as a teaching strategy. There was a pre-test for students to secure data on how students attempted programming tasks. Thereafter the pair-programming technique was implemented and a post-test was administered to determine the effectiveness of the intervention strategy. The research findings indicated that the educators and learners had a positive attitude towards the use of pair programming to support teaching and learning and learners were convinced that they would become better programmers in the future. DOI: 10.5901/mjss.2014. v5n20p1077