Miracle-dz/UniFAR-FTUs huggingface dataset:
Implementing a business process into an ERP solution

Ausgangspunkt dieser Diplomarbeit ist meine Erfahrung bei der Durchfuhrung eines international verteilten Software Implementierungsprojektes. Die Aufgabenstellung besteht darin, den Prozessablauf des Vertriebes zu beschleunigen, und die Qualitat der Daten zur Ermittlung der Kennzahlen zu verbessern. Zusatzliche sollten weitere Daten gesammelt werden, die zukunftige Auswertungen uber den Prozessdurchlauf ermoglichen. In jedem der beteiligten Unternehmen ist die Standard ERP Software Microsoft Dynamics NAV, Navision, im Einsatz. Innerhalb dieser bestehenden ERP Systeme, wird im Rahmen des Projektes ein zusatzliches Modul entwickelt, das den gesamten Vertriebsprozess vom ersten Kontakt des Kunden bis zur erfolgreichen Lieferung und Fakturierung unterstutz, sowie die Datenubertragung zwischen den beteiligten Systemen ermoglicht. Durch die einheitliche Entwicklung des zusatzlichen Moduls soll sichergestellt werden, dass der Prozess in allen Systemen nach den gleichen Regeln ablauft und die die Sammlung der Daten fur das Reporting konsistent in den verschiedenen lokalen Installationen erfolgt. Im Rahmen der Diplomarbeit soll untersucht werden, wie der Prozess der Anforderungsanalyse verbessert werden kann. Als Vorgehensmodell wird das Software Capability Maturity Model herangezogen. Es soll geklart werden, durch welche Masnahmen die Qualitat der Softwareentwicklung zu verbessern ist. Als Schwerpunkt wird die Uberarbeitung der Anforderungen uberpruft, ob diese in UML zu einem besseren Verstandnis der Aufgabenstellung fuhren. Weiters soll untersucht werden, ob diese Darstellung den Wissenstransfer zu den Implementierungspartnern erleichtert. Im Detail wird dabei speziell auf die Erstellung eines erweiterten Use Case Templates eingegangen, sowie die genaue Ausformulierung einiger wichtiger Use Cases analysiert. Das Ergebnis dieser Diplomarbeit richtet sich an Software Entwickler im Bereich der Anpassung von Standard Software.
A hardware implementation of Rivest-Shamir-Adleman co-processor for resource constrained embedded systems

The concern with security problems has been rapidly increasing as computers and Internet services become a more pervasive part of our daily life. This need is further fueled by the advent of mobile electronic devices like smart cards, mobile phones and hardware tokens. Public key cryptographic systems such as RSA (Rivest- Shamir-Adleman) are vital in providing this security in terms of authentication, private key exchange, and digital signatures. Unfortunately, current RSA implementations are either resource exhaustive or too slow. In this thesis, a fast and configurable hardware implementation of the RSA algorithm for public key cryptography is presented that addresses the issues above. The designed RSA coprocessor core is actually a modular exponentiation hardware engine, which is the basic arithmetic operation in implementing a RSA public key encryption and decryption algorithm. The computation intensive modular multiplication operation is based on the Montgomeryâ€™s algorithm and implemented using systolic array architecture. The modules in the RSA co-processor are modeled using VHDL hardware description language before being integrated with Alteraâ€™s softcore general-purpose processor, Nios II, and standard peripherals to form a complete cryptosystem in SoPC environment. Embedded C language codes are then written to test the functionality of the RSA co-processor on hardware. Upon verification, a demonstration application prototype that performs RSA encryption and decryption is developed using Visual Basic 6.0. This RSA co-processor core is able to encrypt and decrypt data with variable key lengths up to 4096 bits. The 1024 bit implementation uses 7000 Logic Elements (LE) on the Altera Stratix EP1S40-F780C5 FPGA development board which roughly translates to 49,000 gates. Encryption takes 2 ms while decryption takes 79 ms with the clock frequency of 40MHz. The speed and area constraint achieved is comparable and even better than several other research and commercial implementations.
The Scheme Programming Language

This thoroughly updated edition of The Scheme Programming Language provides an introduction to Scheme and a definitive reference for standard Scheme, presented in a clear and concise manner. Written for professionals and students with some prior programming experience, it begins by leading the programmer gently through the basics of Scheme and continues with an introduction to some of the more advanced features of the language. Many exercises are presented to help reinforce the lessons learned, and answers to the exercises are given in a new appendix. Most of the remaining chapters are dedicated to the reference material, which describes in detail the standard features of Scheme included in the Revised Report on Scheme and the ANSI/IEEE standard for Scheme.Numerous examples are presented throughout the introductory and reference portions of the text, and a unique set of extended example programs and applications, with additional exercises, are presented in the final chapter. Reinforcing the book's utility as a reference text are appendixes that present the formal syntax of Scheme, a summary of standard forms and procedures, and a bibliography of Scheme resources. The Scheme Programming Language stands alone as an introduction to and essential reference for Scheme programmers. It is also useful as a supplementary text for any course that uses Scheme.The Scheme Programming Language is illustrated by artist Jean-Pierre Hebert, who writes Scheme programs to extend his ability to create sophisticated works of digital art.
Aerobatics control of flying creatures via self-regulated learning

Flying creatures in animated films often perform highly dynamic aerobatic maneuvers, which require their extreme of exercise capacity and skillful control. Designing physics-based controllers (a.k.a., control policies) for aerobatic maneuvers is very challenging because dynamic states remain in unstable equilibrium most of the time during aerobatics. Recently, Deep Reinforcement Learning (DRL) has shown its potential in constructing physics-based controllers. In this paper, we present a new concept, Self-Regulated Learning (SRL), which is combined with DRL to address the aerobatics control problem. The key idea of SRL is to allow the agent to take control over its own learning using an additional self-regulation policy. The policy allows the agent to regulate its goals according to the capability of the current control policy. The control and self-regulation policies are learned jointly along the progress of learning. Self-regulated learning can be viewed as building its own curriculum and seeking compromise on the goals. The effectiveness of our method is demonstrated with physically-simulated creatures performing aerobatic skills of sharp turning, rapid winding, rolling, soaring, and diving.
A Mixture-of-experts Approach for Note Onset Detection

Finding the starting time of events (onsets) is useful in a number of applications for audio signals. The goal of this paper is to present a combination of techniques for automatic detection of events in audio signals. The proposed system uses a supervised classification algorithm to combine a set of features extracted from the audio signal and reduce the original signal to a robust detection function. Onsets are obtained by using a simple peak-picking algorithm. This paper describes the analysis system used to extract the features and the details of the neural network algorithm used to combine them. We conclude by comparing the performance of the proposed algorithm with the system that obtained the first place in the 2005 Music Information Retrieval Evaluation eXchange.
The CNN paradigm

A concise tutorial description of the cellular neural network (CNN) paradigm is given, along with a precise taxonomy. The CNN is defined, and the canonical equations are described. The importance of many independent input signal arrays, adaptive templates, and the multilayer capability is emphasized and motivated by examples. It is shown how simply a wave-type partial differential equation can be generated. >
On the Effects of Diversity on Intrusion Tolerance

The security gains of intrusion-tolerant systems are directly dependent on the assumption that system components fail independently of one another. The coverage of this assumption in a real-world deployment depends on how diversity is employed, using, for example, diverse off-the-shelf components. In this paper we detail a study we have done with vulnerability data, reported in the period 1999 to 2007, which we extracted from the NIST National Vulnerability Database. We provide empirical analysis of the data collected as well as exploratory analyses of the potential gains in security from employing diverse operating systems. The modelling approaches presented are of practical significance to system designers wishing to employ diversity with off-theshelf components since often the vulnerability reports are the only direct security evidence available to them.
Teaching and Learning second language : A comparison of teaching and learning Arabic and Dari languages in Secondary Schools of Kabul.

Afghan languages are, influenced by Arabic in the field of academic terms. Also, several Arabic words need to be learnt for daily conversation in Afghanistan. This study is about students and teachers’ views about learning and teaching Arabic and Dari as two second languages in the areas of Kabul where the residents’ native language as well as the language of instruction is Pashto. The aim of the study is to explore similarities and differences between teaching and learning Arabic and Dari in secondary schools of Kabul.The data for this quantitative study was collected from 9 schools in the eastern part of Kabul, Information was gathered through separate questionnaires for teachers and students as well as textbook analysis. The schools were selected via purposive sampling. A total of 60 students and 50 teachers (25 Dari and 25 Arabic) participated in this study.The main findings of the study included that all students are interested in learning both Arabic and Dari for various reasons. However, learning language helps students to understand the context of the textbooks and get knowledge about this is true about learning Arabic as it is a foreign language too.While teaching the languages, teachers only help students improve listening and reading skills as the teachers do most of the talking in class only sometime ask the students to repeat the lesson from textbook. The remaining two important skills i.e. writing and speaking are widely ignored because the teachers ask the students to do the writing at home and provide little time for verbal conversations inside class due to limited time.Likewise, the teachers thought it is important to focus on developing reading skills among students and very little or no attention is given to improving writing skills. In addition, memorization and recalling of information when required is the dominant feature of teaching in the schools I studied in this study.Arabic and Dari languages have lot of similarities, from having same alphabets to lot of common words. In my study most of students’ were interested to learn both Dari and Arabic, but the obstacle they faced during learning Arabic was, that there was not enough qualified Arabic language teachers but number of qualified teachers in Dari language was a lot and that made learning Dari easier for students who were interested.Generally, the results of this research confirm many previous results. However, a lot need to be done by teachers, school management and education authorities to improve the learning and teaching situations.
토크곡선을 이용한 공작기계의 Virtual화

The development of computer generated virtual environments (VEs) has made it possible to create virtual worlds in which an individual can feel present—that is, as if he or she were actually in the virtual environment (Sheridan, 1992). The user can move about in some VEs and can manipulate objects, either virtual objects or real objects, telerobotically. Some VE systems involve head-mounted displays (HMDs), others video monitors or projection screens. The sense of presence or immersion in a VE is enhanced by a greater degree of fidelity of a depicted environment to a potential real one and by head-tracking-contingent updating of the visual scene. Head tracking is important, because as head position changes in a real environment, the portion of it visible for the individual changes. In coming years, VEs will likely be commonplace both for training and familiarization purposes as in various types of simulators (e.g., for aircraft pilots) and for entertainment (e.g., games involving immersion and interaction).
Effect of bioelectrical signal acquisition on classification performance

Myoelectric robotic prosthetic devices are assistive devices for people with amputations. These devices can be controlled by training a myoelectric pattern recognition (MPR) algorithm with myoelectric signals (MES) sampled from electrodes placed over muscles. Conventionally the MPR algorithms have been train with MES data produced when performing a movement with sustained contraction force. In this thesis, the effect of training the algorithms with the contraction force increasing as a ramp over time has been investigated. For this, the offline accuracies as well as real-time accuracies have been analyzed in order to evaluate the performance of classifiers trained with ramp or sustained contraction data. Two pattern recognition algorithms (LDA and MLP) have been compared for real-time classification. From the offline accuracy it was found that the average accuracy is higher when training classifiers with sustained contraction data compared to ramp contraction data. The average accuracy for real-time classification was found to be similar (no statistically significant difference) when comparing classifiers trained with sustained and ramp contraction data. Of the two algorithms compared for real-time classification using ramp data, linear discriminant analysis (LDA) was found to be better than multilayer perceptron (MLP). From the data it was not possible to find any connection between the offline and real-time accuracies except than that the offline accuracies are high than the real-time accuracies.
Analysis of Gender-Based Occupational Discrimination in Turkey

Kadinlar tarih boyunca uretimin her asamasinda calismislardir. Hem ailelerine hem de ulke ekonomisine olumlu yonde katkilari olan kadinlar, isgucu piyasasindaki bugunku konumlarini cetin mucadeleler sonucu elde etmislerdir. Ancak yapilan calismalar dereceleri farkli da olsa kadinlarin isgucu piyasasinda cesitli sorunlarla karsilastiklarini gostermektedir. Bu sorunlarin nedenlerinin basinda cinsiyete dayali mesleki ayrimcilik gelmektedir. Cinsiyete dayali mesleki ayrimcilik kadinin isgucu piyasasindaki konumuna odaklanan bir konudur. Kadinin isgucu piyasasindaki konumunun iyilestirilmesi ise kadina yonelik istihdam politikalari ve gelisimi ile iliskilidir. Kadinin isgucu piyasasindaki konumunun iyilesmesi ulkelerin kalkinma surecine olumlu olarak yansidigindan kadina yonelik istihdam politikalari onemini daha da artmistir. Calismada, Turkiye’de calisan kadinlarin cinsiyete dayali mesleki ayrimcilik ile ilgili karsilastiklari sorunlar belirlenmekte ve nedenleri arastirilmaktadir. Calismanin amaci, Turkiye’de calisan kadinlarin isgucu piyasasindaki konumlarini iyilestirecek ve gelistirecek istihdam politikalarina yon vermektir
Supervising the PhD : a guide to success

A most persuasive argument - introduction caught and held by a cobweb - getting the student started the balance between tradition and progress designing and planning a project old manuscripts - the literature review heavy and thankless task - overseeing the data collection disagreeableness and danger - keeping up student motivation contorted corkscrew - the getting and giving of judgement - an emotional excitement - writing up the thesis a lack of genuine interest - chossing the right external and preparing the student for the examination the brave pretence at confidence - launching students' careers a rather unpromising consignment - selecting successful students and building a research culture.
The Implications of Stress and the Effect it has on Māori Who Have Type 2 Diabetes in Aotearoa/New Zealand

In this review I will show the connection between diabetes, stress and barriers to care and the impact these have on Māori who have type 2 diabetes. I have undertaken an extensive literature review, which focused mainly on indigenous peoples, and more specifically on Māori. I explored the connection between all the factors involved and combined these with reflections from my own clinical practice experience. My conclusion will show that stress, diet, exercise and barriers to care place a heavy burden on the lives of Māori who live in Aotearoa/New Zealand, suffering from the dis-ease of diabetes. By empowering them to face their situation and see this from a wellness rather than an illness perspective, they can take control of their diabetes and so will live a healthy, longer life, ensuring quality time with their mokopuna/grandchildren.
Attitude practice and need assessment of emergency contraception among women of reproductive age group in Delhi.

Background: Unintended pregnancy is an important public health issue in developing countries like India because of its association with adverse social and health outcomes. Emergency Contraception (EC) is a safe and effective way to prevent unplanned pregnancy. The objectives of this study were to assess the attitude, practices and do the need assessment of emergency contraception among the married women of 18 to 45 years in an urban area of Delhi. Methods: It was a community based cross sectional study, done in an urban locality in Central Delhi. A pretested semi-structured questionnaire was used to take the interview of eligible females. Results: 83.2% of the study subjects had favourable attitude towards the use of emergencycontraception in future, if need arises. There was siginificant association of attitude with age, parity and contraceptive usage. Only 9% of the study subjects had ever used EC. Most of them, purchased emergency contraception from a chemist.I pill was found to be the most common EC used by the study subjects. The practice of EC was found to be associated with education, contraceptive usage and having knowledge about EC. Conclusion: Government health facilities were the first choice of study subjects for receiving the information and getting emergency contraceptive pills. However the unavailability of the emergency contraceptive pills at health centres and long waiting time in government health facilities were found to be the reasons for not going to the government health facilities for getting the emergency contraceptive pills. Key Words: Attitude, Emergency contraception, Need assessment, Practice, Urban area, Women.
A Protection Architecture for Malicious JavaScripts on Web Browsers

‘Web-based Cyber Attacks’ for leaking private information or making target system to denial of service (DoS) are arising. Traditional Web-based cyber attacks hide malwares in the Web pages to make it install and make the client under control. Nowadays, however, these attacks have evolved to ‘Script-based Cyber Attacks’ which infect the visitors just by accessing a certain Web page, not using malwares. Traditional Web-based cyber attacks can be protected by detecting malwares, but script-based cyber attacks cannot be protected by the former method because no malwares are detected. Therefore, new architecture is necessary to prevent malicious behaviors on Web browsers. In this paper, a protection architecture is introduced to detect the connection requests for URLs which are used by the attacker, to detect Web pages which have malicious scripts, and to prevent the execution of the malicious JavaScript codes.
Adequacy of Data Sources for Investigation of Tertiary Education Student’s Wellbeing in Australia: A Scoping Review

Young adulthood is a period of transition, which for many includes higher education. Higher education is associated with specific risks to wellbeing. Understanding the available data on wellbeing in this group may help inform the future collection of data to inform policy and practice in the sector. This scoping review aimed to identify the availability of data sources on the wellbeing of the Australian young adult population who are attending tertiary education. Using the methods of Arksey and O’Malley, data from three primary sources, i.e., Australian Bureau of Statistics, Australian Institute of Health and Welfare and relevant longitudinal studies, were identified. Data sources were screened and coded, and relevant information was extracted. Key data for eight areas related to wellbeing, namely, family and community, health, education and training, work, economic wellbeing, housing, crime and justice, and culture and leisure sources were identified. Forty individual data sets from 16 surveys and six active longitudinal studies were identified. Two data sets contained seven of the areas of wellbeing, of which one was specific to young adults in tertiary education, while the other survey was not limited to young adults. Both data sets lacked information concerning crime and justice variables, which have recently been identified as being of major concern among Australian university students. We recommend that government policy address the collection of a comprehensive data set encompassing each of the eight areas of wellbeing to inform future policy and practice.
Evolving Control Structures with Automatically Defined Macros

Koza has previously shown that the power of a genetic programming system can often be enhanced by allowing for the simultaneous evolution of a main program and a collection of automatically defined functions (ADFs). In this paper I show how related techniques can be used to simultaneously evolve a collection of automatically defined macros (ADMs). I show how ADMs can be used to produce new control structures during the evolution of a program, and I present data showing that ADMs sometimes provide a greater benefit than do ADFs. I discuss the characteristics of problems that may benefit most from the use of ADMs, or from architectures that include both ADFs and ADMs, and I discuss directions for further research.
Fast-forward: the fourth dimension in development

Molecular Biology of RNA By David Elliot, Michael Ladomery Oxford University Press (2010) 460 pages ISBN 978-0-19-928837-3 £34.99/$55 (paperback) ! [Figure][1] Following the discovery of the structure of DNA and during the early days of molecular biology, RNA was considered to be a less
Together We Can Beat this Game: The Prevalence of Collaborative Learning in Educational Video Game Play

: The ever-increasing popularity of video games has raised questions about their role in generating meaningful learning experiences. Despite the prevalence of digital media and social networking, relatively little research has been conducted on the presence and benefits of social learning in educational video games. Preliminary studies suggest that by facilitating interactive and engaging experiences, video games offer opportunities for players to engage in problem-solving, socialization, and most importantly, collaborative learning. As the
On the influence of steam on combustion

In this thesis, a numerical simulation study is presented of the influence of steam on premixed and partially premixed combustion. Both laminar (premixed) and turbulent (partially premixed) calculations are presented. The laminar calculations were performed using a detailed chemical mechanism and the 1-dimensional CHEMKIN PREMIX code that allows the numerical simulation of premixed, freely propagating flames. The turbulent calculations were performed using a novel combustion model which is presented here. Results are presented of a case without any dilution, a case with steam dilution and a case with nitrogen dilution.