Miracle-dz/UniFAR-FTUs huggingface dataset:
Building scientific clouds: The distributed, peer-to-peer approach

The Scientific community is constantly growing in size. The increase in personnel number and projects have resulted in the requirement of large amounts of storage, CPU power and other computing resources. It has also become necessary to acquire these resources in an affordable manner that is sensitive to work loads. In this thesis, the author presents a novel approach that provides the communication platform that will support such large scale scientific projects. These resources could be difficult to acquire due to NATs, firewalls and other site-based restrictions and policies. Methods used to overcome these hurdles have been discussed in detail along with other advantages of using such a system, which include: increased availability of necessary computing infrastructure; increased grid resource utilization; reduced user dependability; reduced job execution time. Experiments conducted included local infrastructure on the Clemson University Campus as well as resources provided by other federated grid sites.
Experiment and processing of MOOC sequences-based optical labels for optical packet switching

The experiment of multiple optical orthogonal codes （MOOC） sequences-based optical labels receiving is reported for the first time. In this work, 2 groups of MOOC with code length 19 and code weight 3 are used to identify optical labels. This paper firstly presents the scheme and principle of optical packets switching networks based on MOOC sequences-based optical labels. Since optical labels contain the optical packet switching and routing information, optical label processing is crucial to achieve successfully packets switching. Therefore, the importance of MOOC-based optical labels processing with multiple inconsecutive, random and burst characteristics in optical packets switching network is pointed out. Considering the MOOC-based optical labels, we design a circuit consisting of widened net and multi-level concatenated amplifiers to receive multiple single-optical-label pulse with a period of 2 ns and low power. The experimental results show that the designed scheme is feasible.
Wireless Power Transfer via Radiowaves

Recent advances in Wireless Power Transmission (WPT) technologies have enabled various engineering applications with potential product implementation. WPT can be utilized to charge batteries in various pieces of equipment without the need for a wired connection. Energy can be harvested from ambient RF and microwave radiation and 1 million kW microwaves can be transmitted from space to the ground. This book covers all the theory and technologies of WPT, such as microwave generators with semi-conductors and microwave tubes, antennas, phased arrays, beam efficiency, and rectifiers (rectenna). The authors also discuss coupling WPT. Applications, such as energy harvesting, sensor networks, point-to-point WPT, WPT to moving targets (airplane, vehicle, etc.) and Solar Power Satellite are also presented.
Optimising Intensive Interprocess Communication in a Parallelised Telecommunication Traffic Simulator

This paper focuses on an efficient user-level handling of intensive interprocess communication in distributed parallel applications that are characterised by a high rate of data exchange. A common feature of such systems is that any parallelisation strategy focusing on the largest parallelisable fraction results in the highest possible rate of interprocess communication, compared to other parallelisation strategies. An example of such applications is the class of telecommunication traffic simulators, where the partition-communication phenomenon reveals itself due to the strong data interdependencies among the major parallelisable tasks, namely, encoding of messages, decoding of messages, and interpretation of messages.
The welfare effect of the new wave of protectionism: The case of Argentina

This paper studies the welfare impact of alternative scenarios of trade protectionism and liberalization in Argentina. The impact of the different trade policies is assessed in two different ways. We first use the multi-sectoral and multi-regional computable general equilibrium MIRAGE model to assess the effects of trade policy on GDP, exports, imports, terms of trade, real wages, and welfare. The second approach is to follow the trade and poverty literature and use the price and factor remuneration changes from each simulation to feed them into household survey data and assess the welfare effect on Argentine households. The simulations show that an increase in protectionism in a unilateral way has only short term benefits while the long run effects are negative. On the other hand liberalization scenarios tend to have short term negative effects.
Using a machine translation tool to countercross-language plagiarism

Cross-language plagiarism is a type of plagiarism where texts from one languageare translated to another, concealing the origin of the text. This study tested if Google’s machine translation tool could be used as a preprocessor to a plagiarism detection tool in order to increase detection of cross-language plagiarism. It achieved positive results for detecting plagiarism in machine translated texts, while craftier plagiarised translations with higher degrees of obfuscation were harder to detect. Utilising even simple tools such as Google’s machine translation tool thus seems to indicate that steps to solving the problem of cross-language plagiarism can be taken.
Concise Encyclopedia of Polymer Science and Engineering

A compact desk reference, this book includes all the subjects contained in the 17 alphabetical volumes and the Supplement and Index volumes of the "Encyclopedia of Polymer Science and Engineering". The articles have been condensed by professional science writers, reviewed for accuracy by the original authors or their colleagues, and updated where necessary. Similar to the original set, this edition provides both SI and common units, carefully selected key references for each article, and hundreds of tables, charts, figures and graphs. This distillation, prepared to retain the factual material of the original, is a complete and self-contained encyclopaedia. It is designed to serve as a ready-reference guide for anyone seeking answers to questions on any aspect of polymer science and engineering.
Integrating a data description language with protocol stack development

Communication software, most notoriously protocolstacks, are an area of growing interest. Many companiesimplement new or revised protocols for new applicationrequirements, and reimplement well-known infrastructureprotocol stacks to accomodate to new hardware andsoftware platforms. However, due to the complexity andperformance-critical nature of communication software,implementing protocol stacks remains a time-consumingand error-prone task with considerable impact on time tomarket, scalability and maintainance. The work at handinvestigates how to provide program development supportfor protocol stack implementation to make it easier andmore likely to be correct while respecting non-functionalconstraints. We present a language-based approach for theimplementation of protocol stacks. We define a domainspecificembedded language, IPS, for declaratively describingoverlaid protocol stacks. In IPS a high-level packetspecification is described using a data description languagewhich is compiled into a. ) an internal data representation,and b. ) packet processing functions in C. Both are then integratedinto the dataflow framework of a protocol overlayspecification. IPS generates highly portable C code for variousarchitectures from this source. We present the compilationframework for generating packet processing andprotocol logic code, and a preliminary evaluation.
Smart card fault attacks on public key and elliptic curve cryptography

Ling, Jie M.S.E.C. E, Purdue University, May 2014. Smart Card Fault Attacks on Public Key and Elliptic Curve Cryptography. Major Professor: Brian King. Blömmer, Otto, and Seifert presented a fault attack on elliptic curve scalar multiplication called the Sign Change Attack, which causes a fault that changes the sign of the accumulation point. As the use of a sign bit for an extended integer is highly unlikely, this appears to be a highly selective manipulation of the key stream. In this thesis we describe two plausible fault attacks on a smart card implementation of elliptic curve cryptography. King and Wang designed a new attack called counter fault attack by attacking the scalar multiple of discrete-log cryptosystem. They then successfully generalize this approach to a family of attacks. By implementing King and Wang’s scheme on RSA, we successfully attacked RSA keys for a variety of sizes. Further, we generalized the attack model to an attack on any implementation that uses NAF and wNAF key.
Predicting the Longevity of DVDR Media by Periodic Analysis of Parity, Jitter, and ECC Performance Parameters

PREDICTING THE LONGEVITY OF DVD-R MEDIA BY PERIODIC ANALYSIS OF PARITY, JITTER, AND ECC PERFOMANCE PARAMETERS Daniel P. Wells School of Technology Master of Science For the last ten years, DVD-R media have played an important role in the storage of large amounts of digital data throughout the world. During this time it was assumed that the DVD-R was as long-lasting and stable as its predecessor, the CD-R. Several reports have surfaced over the last few years questioning the DVD-R’s ability to maintain many of its claims regarding archival quality life spans. These reports have shown a wide range of longevity between the different brands. While some DVD-Rs may last a while, others may result in an early and unexpected failure. Compounding this problem is the lack of information available for consumers to know the quality of the media they own. While the industry works on devising a standard for labeling the quality of future media, it is currently up to the consumer to pay close attention to their own DVD-R archives and work diligently to prevent data loss. This research shows that through accelerated aging and the use of logistic regression analysis on data collected through periodic monitoring of disc read-back errors it is possible to accurately predict unrecoverable failures in the test discs. This study analyzed various measurements of PIE errors, PIE8 Sum errors, POF errors and jitter data from three areas of the disc: the whole disc, the region of the disc where it first failed as well as the last half of the disc. From this data five unique predictive equations were produced, each with the ability to predict disc failure. In conclusion, the relative value of these equations for end-of-life predictions is discussed.
Handwritten word recognition using hidden Markov models

Research in text recognition has long been focused on the recognition of machine-printed characters. Because of large variation involved in human handwriting, the recognition problem is very difficult. The Hidden Markov Model (HMM) has been widely and successfully used in speech processing and recognition. The recognition of handwritten words has many similarities to that of speech. They both involve the processing of noisy language symbol strings with ambiguous boundaries and considerable variations in symbol appearance. In this dissertation, we have proposed various types of HMM's for use in the recognition of totally unconstrained handwritten words (i.e. the words might by discretely printed, cursive, or a combination of both). In applying HMM's to pattern recognition problems, the first consideration is how to represent the evolutionary pattern as a sequence of observations such that the HMM is applicable. The solution is quite straightforward for speech because of its strong temporal constraints. For handwriting, especially in off-line recognition systems, it is not trivial. Thus, a good segmentation algorithm is needed to obtain the observation sequence for the HMM's. Exclusively for this purpose, we have developed, and detailed in this dissertation, a sub-character segmentation algorithm based on mathematical morphology. Another important reason for the HMM's success in speech recognition is its effective representation of speech in terms of LPC features. Unfortunately, no satisfactory representation exists for handwriting signals, and finding such a representation is an open research problem. In the approaches proposed here, based on empirical evidence, we have carefully selected a feature set which includes moment features, geometrical and topological features, and local and global pixel distribution features. Finally, an important issue for applying HMM's is to select a good unit of handwriting to be modeled by the HMM. As in speech, words are the natural units for handwriting. Another alternative is the character, which is somewhat like the phoneme of speech but with a more distinct meaning. We have designed a number of systems for handwriting recognition using different HMM units and two different implementation strategies: the model discriminant HMM and the path discriminant HMM. The success of these systems is demonstrated by means of experiments using real-world data. Finally, the comparative advantages and disadvantages of different systems are discussed.
Hero is Back- The rising of Chinese audiences: The demonstration of SHI in popularizing a Chinese animation

This article studies how Chinese audiences’ participation contributes to a new all-time animation box-office champ, “Monkey King: Hero is Back,” and how such participation may contribute to facilitating a richer and more varied cultural life in China in the future. This made-in-China animation film snatched the throne from DreamWorks Animation’s “Kung Fu Panda 2” by breaking the latter’s 4-year record (617 million RMB) after announcing its box-office sale had exceeded 800 million RMB on 4 August. The significance of the animation is approved by a seminar held by the Publicity Department of the Central Committee of the Communist Party of China and State Administration of Radio, Film, and Television, naming it “the milestone of domestic animation film production” on 4 August. The legend of the animation is an exemplification of the enthusiasm of Chinese audiences, who identify themselves not only as fans but also followers and cheerleaders of the film. They self-addressed themselves as zi lai shui (literally means tap-water, 自来水), figuratively means the Internet mercenaries willing to advertise the film on social media at their own expense. Drawing on the literature of power and influence, fans of “Monkey King: Hero is Back” will be interviewed and their online activities and comments will be analyzed to find out (1) how the scattered audience members built a united identification online and (2) how such spontaneous but also well-organized Internet aggregation turns into SHI (overwhelming with numerical strength, social capital, and influence) and further empowers the Chinese audiences in an era in which social media prosper in China.
T1 mapping: Methods and challenges

Purpose: In this educational abstract, we provide an overview of the main T1 mapping methods and we outline the challenges in performing quantitative T1 measurement. We describe the gold standard (Inversion Recovery), as well as two widely used alternative methods (Look-Locker and Variable Flip Angle) that speed up the scanning and fitting procedures at the expense of accuracy and precision. The e-poster will include sample T1 maps of phantoms and in-vivo human brains acquired with each of the above methods, and it will provide a list of useful T1 mapping references.
Untersuchung des Einsatzes von Augmented Reality im Verpackungsprozess unter Berücksichtigung spezifischer Anforderungen an die Informationsdarstellung sowie die ergonomische Einbindung des Menschen in den Prozess

Logistics Journal : Proceedings, Vol. 2016, Iss. 10 - Durch den stetig wachsenden Automatisierungsgrad in der Produktion und Logistik steigen die Anforderungen an die Integration des Menschen in die Arbeitsprozesse. Steigendes Informationsaufkommen und erhohte Dynamik erfordern, dass der Mitarbeiter flexibel mit den umgebenden Systemen interagieren kann. Um diese Voraussetzung zu erfullen, mussen neue Konzepte fur die Mensch-Computer-Interaktion geschaffen werden, die auf moderne und intuitive Methoden der Informationsbereitstellung zuruckgreifen. Im Zuge dieser Fragestellung hat das Fraunhofer IML eine Studie durchgefuhrt, die untersucht, wie der Verpackungsprozess durch den Einsatz von Augmented Reality uber Datenbrillen verbessert werden kann.
STRUKTURASI GIDDENS DAN SOCIAL CONSTRUCTION OF TECHNOLOGY (SCOT) SEBAGAI PISAU ANALISIS ALTERNATIF PENELITIAN SOSIAL ATAS TEKNOLOGI MEDIA BARU

Artikel ini menawarkan alternatif kerangka konseptual penelitian terhadap teknologi komunikasi semisal teknologi media baru. Kerangka konseptual yang ditawarkan menggunakan cara pandang paradigma konstruktivis dimana teknologi dipandang sebagai produk konstruksi sosial. Social Construction of Technology (SCoT) adalah konsep yang dikembangkan Pinch dan Bijker (1984). Seiring waktu SCoT mendapat perhatian dari akademisi-akademisi lain serta mengalami perkembangan dan modifikasi. Pada artikel ini penulis mencoba menyandingkan penggunaan SCoT dengan pendekatan agen-struktur dari teori strukturasi Giddens. Kerangka konsep tersebut telah dicobakan dalam penelitian penulis di tahun 2011. Teknologi yang diteliti adalah teknologi media sosial, sementara agen yang dimaksud adalah pengguna media sosial, kemudian budaya komunikasi ditempatkan sebagai struktur sosial yang berperan sebagai konteks yang lebih luas. Kerangka konseptual seperti dijelaskan di sini terutama bermanfaat untuk menguraikan hubungan teknologi dan masyarakat serta menjawab pertanyaan bagaimana proses saling membentuk terjadi antara teknologi dengan perilaku sosial dalam masyarakat.
Advanced Quantitative Data Analysis

Series editor's forewordPrefaceIntroductiongrouping quantitative variables togetherExploratory factor analysisConfirmatory factor analysisCluster analysisexplaining the variance of a quantitative variableStepwise multiple regressionHierarchical multiple regressionsequencing the relationships between three or more quantitative variablesPath analysis assuming no measurement errorPath analysis accounting for measurement errorexplaining the probability of a dichotomous variableBinary logistic regressiontesting differences between group meansAn introduction to analysis of variance and covarianceUnrelated one-way analysis of covarianceUnrelated two-way analysis of variancediscriminating between groupsDiscriminant analysisanalysing frequency tables with three or more qualitative variablesLog-linear analysisGlossaryReferencesIndex.
Model Development, Solution, and Analysis in Global Optimization

The primary objective of this chapter is to summarize the key features and usage of the LGO modeling and solver system, as it is applied to several global optimization (GO) case studies described elsewhere in the present volume. The discussion is extended by providing more general comments on GO models, solution strategies, software, test problems, and by pointing towards a broad range of existing and potential applications.
Modular P2P-Based Approach for RDF Data Storage and Retrieval

One of the key elements of the Semantic Web is the Resource Description Framework (RDF). Efficient storage and retrieval of RDF data in large scale settings is still challenging and existing solutions are monolithic and thus not very flexible from a software engineering point of view. In this paper, we propose a modular system, based on the scalable Content-Addressable Network (CAN), which gives the possibility to store and retrieve RDF data in large scale settings. We identified and isolated key components forming such system in our design architecture. We have evaluated our system using the Grid'5000 testbed over 300 peers on 75 machines and the outcome of these micro-benchmarks show interesting results in terms of scalability and concurrent queries.
The expression of modality

This book covers the essentials of modality and offers both foundational ideas and cutting edge advances. The book consists of what are essentially tutorials on modality and modal notions, covering definitions of modality, morphosyntactic form, conceptual and logical semantics, historical development, and acquisition. There are also specific chapters on modality in Zapotec and American Sign Language, which show the range of forms that modal notions can take. To assist its tutorial function, the book closes with a comprehensive conceptual outline of all the chapters.Key features:textbook covers the essentials of modality Well-known editor Cognitive categories are currently among the most important areas of research in linguistics and beyond (biology, psychology)
A network approach for the mechanistic classification of bioactive compounds

approved: Frank W.R. John P. Bolte Using network architecture to describe a biological system is an effective organizational method. The utility of this approach, which generally applies to qualitative models, is enhanced by the addition of quantitative models characterizing the interactions between network nodes. A chromatophore-based signal transduction network is developed, and the highly interconnected major nodes of the network, guanine trisphosphate, adenylate cyclase, and protein kinase A, are identified. These reference nodes serve to partition the network into functional modules, and mechanistic models describing these modules are derived. Three elicitor compounds, forskolin, melanocyte stimulating hormone (MSH), and clonidine, were selected due to their ability to access the signal transduction Redacted for Privacy Redacted for Privacy network at specific reference nodes, and the module configurations corresponding to their mechanisms of action are presented. The chromatophore responses to the three elicitors and to a negative control, L-15 cell medium, were recorded for two experimental blocks consisting of genetically different fish cells. Significant differences in cell responsiveness were evident between the two blocks, but this variability was controlled by the transformation and normalization of the data. The model parameters for each agent were estimated, and the resulting response curves were highly accurate predictors of the changes in apparent cell area, with R-squared values in the 0.88 to 0.96 range. Two examples were presented for the application of a model discovery algorithm, which selects modules from an existing library, generates model output for all valid module configurations, and selects the configurations which best satisfy a fitness function for a given set of target data. The algorithm proved robust to the introduction of different levels of random error in the simulated data sets when applied to a model of the desensitization of a cell membrane receptor, and continued to classify the stochastic data sets correctly even when the underlying rate constants differed significantly from those embedded in the modules. When challenged with the chromatophore data, the model discovery algorithm successfully matched the forskolin and MSH module configurations to the data within the top three models proposed, with less precise classification for the clonidine model. ©Copyright by Trina A. Siebert November 22, 2004 All Rights Reserved A Network Approach for the Mechanistic Classification of Bioactive Compounds
A Student's Writing Guide: How to Plan and Write Successful Essays

Preface 1. Introduction Part I. Reflection and Research: 2. Reflection: asking questions and proposing answers 3. Interpretation: reading and taking notes Part II. The Dynamics of an Essay: 4. Introductions 5. Middles 6. Endings Part III. Language: 7. You, your language and your material 8. Analytical language 1: sentences 9. Analytical language 2: rhetorical strategies 10. Cohesion and texture 11. Conventions of academic writing Appendices Index.