Miracle-dz/UniFAR-FTUs huggingface dataset:
Reconfigurable Gabor Filter For Fingerprint Recognition Using FPGA Verilog

This paper present the implementations of Gabor filter for fingerprint recognition using Verilog HDL. This work demonstrates the application of Gabor Filter technique to enhance the fingerprint image. The incoming signal in form of image pixel will be filter out or convolute by the Gabor filter to define the ridge and valley regions of fingerprint. This is done with the application of a real time convolve based on Field Programmable Gate Array (FPGA) to perform the convolution operation. The main characteristic of the proposed approach are the usage of memory to store the incoming image pixel and the coefficient of the Gabor filter before the convolution matrix take place. The result was the signal convoluted with the Gabor coefficient.
Community Detection in Complex Networks using Genetic Algorithm

Community structure identification has been an important research topic in complex networks and there has been many algorithms proposed so far to detect community structures in complex networks, where most of the algorithms are not suitable for very large networks because of their time-complexity. Genetic algorithm for detecting communities in complex networks, which is based on optimizing network modularity using genetic algorithm, is presented here. It is scalable to very large networks and does not need any priori knowledge about number of communities or any threshold value. It has O(e) time-complexity where e is the number of edges in the network. Its accuracy is tested with the known Zachary Karate Club and College Football datasets. Enron e-mail dataset is used for scalability test.
Complexity of union-split-find problems

In this thesis, we investigate various interpretations of the Union-Split-Find problem, an extension of the classic Union-Find problem. In the Union-Split-Find problem, we maintain disjoint sets of ordered elements subject to the operations of constructing singleton sets, merging two sets together, splitting a set by partitioning it around a specified value, and finding the set that contains a given element. The different interpretations of this problem arise from the different assumptions made regarding when sets can be merged and any special properties the sets may have. We define and analyze the Interval, Cyclic, Ordered, and General Union-Split-Find problems. Previous work implies optimal solutions to the Interval and Ordered Union-Split-Find problems and an Ω(log n/ log log n) lower bound for the Cyclic Union-Split-Find problem in the cell-probe model. We present a new data structure that achieves a matching upper bound of O(log n/ log log n) for Cyclic Union-SplitFind in the word RAM model. For General Union-Split-Find, no o(n) bound is known. We present a data structure which has an Ω(log n) amortized lower bound in the worst case that we conjecture has polylogarithmic amortized performance. This thesis is the product of joint work with Erik Demaine. Thesis Supervisor: Erik D. Demaine Title: Associate Professor of Electrical Engineering and Computer Science
MEDIA MUSIK DAN LAGU PADA PROSES PEMBELAJARAN

Suasana lingkungan belajar dalam kelas sangat penting dan berpengaruh terhadap hasil belajar siswa. Suasana lingkungan belajar ini diwujudkan dalam bentuk pengkondisian ruang kelas pembelajaran. Pengkondisian ini menyangkut kondisi fisik bangunan dan juga kenyamanan tempat duduk siswa. Kecukupan cahaya atau penerangan juga diperlukan. Selain itu, hal ini juga dapat dilakukan dengan memberikan kenyamanan tambahan yang salah satunya dapat digunakan yaitu memberikan musik. Hasil-hasil penelitian terdahulu menyatakan bahwa musik bermanfaat bagi ibu hamil dan berpengaruh terhadap janin yang dikandung. Musik dapat mempengaruhi detak jantung pendengarnya. Musik juga dapat menenangkan pikiran seseorang dan menjadi alat bantu bagi pengembangan kecerdasan manusia. Salah satu jenis musik yang banyak dipakai dalam pengkondisian suasana belajar atau suasana kerja adalah jenis musik klasik. Hasil-hasil penelitian tindakan kelas menyatakan bahwa musik berpengaruh terhadap proses pembelajaran siswa dalam kelas.
Configuration-centered positional priming of visual pop-out search

This chapter investigated the representations(s) underlying positional priming of visual ‘popout’ search (Maljkovic & Nakayama, 1996). Three search items (1 target and 2 distractors) were presented at different locations, arranged at the horizontal display axis (Experiment 1.1) or both at the horizontal and vertical axes (Experiment 1.2). By these manipulations it was possible to disentangle retinotopic, spatiotopic, and object-centered priming representations. Two forms of priming were tested: Target location facilitation (i.e., faster reaction times – RTs– when the trial n target is presented at a trial n-1 target relative to n-1 blank location) and distractor location inhibition (i.e., slower RTs for n targets presented at n-1 distractor compared to n-1 blank locations). It was found that target locations were coded in positional short-term memory with reference to both configuration-independent, i.e., spatiotopic / retinotopic, representations and configuration-dependent, i.e., object-centered, representations (Experiments 1.1 vs. 1.2). In contrast, distractor locations were maintained in an objectcentered reference frame (Experiments 1.1 and 1.2). It is claimed that the uncertainty induced by the experiment manipulation (2 vs.6 peripheral display regions in Experiments 1.1 and 1.2 respectively) is the underlying cause of the transition from spatiotopic to object-centered representation.
Early Childhood and Media Representation: How does South Korean Animation Pororo the Little Penguin Reproduce Patriarchal Family Ideology?

This study examines the deeper cultural and social meaning of a South Korean popular edutainment animation Pororo the Little Penguin by analyzing 50 of its episodes. The article expands upon earlier studies of Pororo by not only analyzing gender stereotypes in Pororo’s narratives and aesthetics but also investigating these features within the larger frame of social discourse. The authors found that, despite the fact that Pororo seems to display friendship formation among children without adults’ intervention, it really reflects family relationships in South Korea and functions to reveal adults’ perspectives on them. Through positioning adult and children characters within the typical patriarchal Korean family, they argue that Pororo reproduces the patriarchal family ideology of today’s South Korea. This study therefore contributes to the field of children’s media and gender representation and the sociology of childhood.
Voice Interaction Design: Crafting the New Conversational Speech Systems

From the voice on the phone, to the voice on the computer, to the voice from the toaster, speech user interfaces are coming into the mainstream and are here to stay forever. Soundly anchored in HCI, cognitive psychology, linguistics, and social psychology, this supremely practical book is loaded with examples, how-to advice, and design templates. Drawing widely on decades of research-in lexicography, conversation analysis, computational linguistics, and social psychology-author Randy Allen Harris outlines the principles of how people use language interactively, and illustrates every aspect of design work. In the first part of the book, Harris provides a thorough conceptual basis of language in all its relevant aspects, from speech sounds to conversational principles. The second part takes you patiently through the entire process of designing an interactive speech system: from team building to user profiles, to agent design, scripting, and evaluation. This book provides interaction designers with the knowledge and strategies to craft language-based applications the way users will expect them to behave. *Loaded with examples and practical synopses of the best practice. *An ideal combination of conceptual base, practical illustrations, and "how-to" advice-for design and for the entire design process. *Will bring novice voice designers fully up to speed, and give experienced designers a new understanding of the principles underlying human speech interaction, principles from which to improve voice interaction design. Table of Contents Introduction; Speech; Sound and Meaning; Doing things with Words; Conversation; Glue; Diction; Crafting Voice Interfaces; The Team and the Process; Users, Tasks; Building the Discourse Model; Agents; Dialogue Matters; Scripting; Iterative Evaluation; Conclusion-Pursuing Habitability; Glossary.
The Representation and Processing of Compound Words

1. Why Study Compound Processing? An Overview of the Issues 2. Compound Types 3. Compound Representation and Processing 4. The Neuropsychology of Compound Words 5. Preschool Children's Acquisition of Compounds 6. Doghouse/Chien-maison/Niche: Compounds in Bilinguals 7. Conceptual Combination: Implictions for the Mental Lexicon 8. Processing Chinese Compounds: A Survey of the Literature References Index
Process discovery and validation through event-data analysis

Software process is how an organization goes about developing or maintaining a software system. It is the methodology employed when people use machines, tools, and artifacts to create a product. Recent work has applied formal modeling to software process, with the hope of reaping the benefits of unambiguous and analyzable formalisms. Yet industry has been slow to adopt formal model technologies. Two reasons are that it is costly to develop a formal model and, once developed, there are no methods to ensure that the model indeed reflects reality. This thesis develops techniques for process event data analysis that help solve these two problems, which are termed process discovery and process validation. For process discovery, event data captured from an on-going process is used to generate a formal model of process behavior. To do this, results from the field of grammar inference are applied, and a new method is also developed. The, methods are shown to he efficient and practical to use in an interactive, tool that is developed in the course of this work. For process validation, event data is used to measure the correspondence between existing process models and the actual process, yet allowing discrepancies to exist. A paradigm based on string distance metrics is developed, and several validation metrics in this paradigm are described. How these metrics can be calculated is then shown, and a tool set for doing process validation is provided. In implementing these methods, a framework is developed, called Balboa, for managing process data and facilitating the construction of analysis tools. This framework serves to unite the variety of collection mechanisms and tools by providing consistent data manipulation, management, and access services, and assistance in tool construction. Finally, the techniques developed in this thesis are applied in an industrial study. This study provides concrete results showing that one can relate the quality of a process as prescribed by a model to the quality of the product. In doing so, it also shows that the discovery and validation techniques are able to capture important aspects about software process, and can be applied in the real world.
More homework please! Investigating the use of ICT as an effective, motivating and stimulating homework tool in Modern Foreign Languages

Although the significant contribution that ICT can make to the development of all four language skills and the raising of pupil attainment has been well documented, in reality student progress is still all too often impeded by inadequate ICT provision. This paper reports on a practitioner research project which investigated whether ICT can be used as an effective, stimulating and motivational homework tool in modern foreign languages (MFL), thereby circumventing the problem of access to the IT suite during the school day. The background to the research is described followed by an account of the project’s implementation. The study was carried out with two groups of Year 7 students (a French class and a German class) within a large 11-18 comprehensive school in Sussex during 2003. In the first phase of the project students were given a variety of homework tasks to complete online which they subsequently emailed to their teacher. The second phase involved the launching of a language forum to which students contributed and where they posted their homework. This paper details the execution of these phases and then proceeds to evaluate the findings from the three forms of data which were collected: questionnaires, pupil commentaries and the teacher’s field notes. The data suggests that students were highly motivated by the project and that it promoted learner autonomy as well as a more positive approach to foreign language learning. In particular, the response to the forum indicates that the use of ICT in MFL can stimulate pupils’ interest in one another and contribute to peer learning, while decreasing students’ reliance on the teacher.
Exploring English Language Learners' Identity Negotiation in a Sixth Grade English Language Arts Classroom

Secondary schools in the United States are filled with English language learners. The large amount of English Language Learners (ELLs) represent a diverse population with unique academic trajectories and language needs. The diversity among ELLs requires an examination of ELLs’ identity, as it relates to literacy development and achievement. This qualitative study explores how different types of ELLs negotiate identities in an English language arts classroom. Specifically, how different types of ELLs’ perceptions as readers and writers impact identity negotiation is analyzed. The study takes place in a sixth grade English language arts classroom in deep South Texas. It is an in depth look at how 10 focal ELLs, representing different types of ELLs, engage in a teacher-researcher designed unit of instruction. The unit focused on identity and was designed to determine what learning opportunities help foster identity negotiation. The data collected occurred over three and a half months and included written and audio-recorded interviews, participant journal entries, student produced artifacts, and a teacher researcher journal. The findings revealed that ELLs negotiate identities based on their previous schooling experiences and how language, high stakes tests, and teacher actions have critical impact in the identity negotiation process. More importantly, there are slight differences in how different types ELLs negotiate identities as learners, readers, and writers in the classroom, and it is through learning about the differences that teachers can best help ELLs.
Task complexity and measures of linguistic performance in L2 writing

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Selection of Database Management System with Fuzzy-AHP for Electronic Medical Record

Database selection is one of the main problems in designing electronic medical record (EMR) Software, since there are many different data with different types and formats in it. This work provides an approach for selecting suitable database management system (DBMS) with fuzzy analytical hierarchical process that gives capabilities of requirements to electronic medical record software. Criteria are choose based upon capabilities of requirements including supporting from type of operating system and programming language, maximum of table size, indexing, replication and access control. In addition, alternatives are PostgreSQL, MySQL, Oracle, DB2 and Microsoft SQL Server. According to the application of fuzzy analytical hierarchical process a ranking is obtained to decision making the best database management system for electronic medical record software.
A multiplatform interpreter to introduce structured and concurrent programming

The process of teaching and learning computer programming has always been a challenge for students and teachers. Throughout time, the challenge has become tougher because now the concepts related to concurrent programming must be added to the traditional concepts of programming. The tools that show the performance of algorithms have been of great help, although they must be used carefully. This article describes the development and use of an update of the Visual Da Vinci (an environment used in different institutions to introduce computer programming) and discusses the reasons why programming (and software design in general) usually arises issues. It also justifies the current importance of concurrent programming and the difficulties it adds to traditional programming. Further on in the text, the Concurrent Da Vinci is analysed and commented on, showing an example of how it is used to solve a classical problem of concurrency.
Assessing the Effects of Multi-Node Sensor Network Configurations on the Operational Tempo

Abstract : The LPISimNet software tool provides the capability to quantify the performance of sensor network configurations by combining the information and physical domains. To combine the sensor network s performance in a coherent context with a decision-maker, Boyd's observe, orient, decide, act (OODA) loop is included along with its operational tempo. This thesis develops a new version of LPISimNet (LPISimNet(V)3) by correcting a code error and including a network comparison file. Additionally, this thesis evaluates the effects of different network configurations and size on the maximum operational tempo. Simulation results for a static network indicate that as the network size increases the rate at which decisions can be made declines. A prediction for further decline is presented based on the simulations. Also, dynamic network simulation results for a three-, four-, five-, and six-node network display the importance of node placement and network geometry to help offset network degradation due to range fluctuation between nodes. By surrounding the dynamic nodes of the network with static nodes, the maximum operational tempo can be bounded between an upper and lower limit, stabilizing the decision-making speed. Finally, the effect of electronic attack on the operational tempo is presented to display the robustness of a network.
Chip multiprocessors with on-chip aggregate function network

State-of-the-art on-chip networks and block-based cache coherence protocols used in cache-coherent shared-memory Chip MultiProcessors (CMPs) are inefficient for collective operations across cores. Performance of CMPs can be seriously degraded by the multitude of memory requests and coherence messages required to implement each collective operation. This thesis presents a CMP-AFN architecture and Instruction Set Architecture (ISA) extensions that augment a conventional shared-memory CMP with a tightly-integrated Aggregate Function Network (AFN) that implements low-latency collective operations without using or interfering with the memory hierarchy. For a modest increase in circuit complexity, traffic within a CMP’s internal network is dramatically reduced, improving the performance of caches and reducing power consumption. Full system simulations of 16-core CMPs show a CMP-AFN outperforms the reference design significantly, eliminating up to 52% of memory accesses and up to 73% of private L1 data cache misses in both the EPCC OpenMP microbenchmarks and SPEC OMP benchmarks.
Academic Performance of Business Students in Quantitative Courses: A Study in the Faculty of Business and Economics at the UAE University.

This article aims to investigate the academic performance (measured by quality points) of the business students in quantitative courses. It also explores the impact of a number of factors on the academic performance of business students in these courses. A random sample of 750 third- and fourth-level business students at the United Arab Emirates University (UAEU) Faculty of Business and Economics (FBE) was chosen. The collected data were analyzed using descriptive statistics, analysis of variance, t test, and correlation. The results indicated that the academic performance of the business students in quantitative courses differs across the fields of study (Accounting, Finance, Management, Marketing, Management Information Systems, Economics, and Statistics), the nationality (Emirati or non-Emirati), the type of high school (private or public), the major track in high school (science or art), the gender (except for Business Stat 1 and Production and Operations Management courses), and the age (except for Quantitative Methods for Business and Operations Research courses). The study has a number of implications for both administrators and instructors. For administrators, it will make them aware of the impacts of the factors under investigation on business students’ performance in quantitative courses. Therefore, this will improve the administrators’ ability to design more effective plans to enhance students’ learning experience and in turn their performance in those courses and accordingly their overall performance. For instructors, this study will indicate which students might perform poorly in quantitative courses and in turn lead to taking the necessary actions to enhance their performance in these courses. Instructors should organize separate classes for management and marketing students on one hand, and students of other fields of study on the other. Different teaching strategies, course contents, assessment approaches could be used for different groups. Similarly, students could be classified according to grade point average and major track in the high school. Once again, different teaching strategies, course contents, assessment approaches could be used for different groups.
Complex sequences with low periodic correlations

The importance of the upper and lower bound lies in the fact that they can be shown to agree for a large range of P, and M. R;(d), + . ,R”-‘(d) were evaluated for M=3,4,5,. ,lO and M100 wit< P = 0.005, 0.05, and 0.5 using a computer program to find the m&mum of the convex function in (20) over the convex set 4. For these values of M and P,, it was found that co( R,‘, R,2,. . . , R/)(d) = co(R,‘, RzM)(d) so that the upper and Lwer bounds agree and R*(d)= co(R,‘, R/)(d). As an example, R,‘(d), Rz%O * . ,Rz(d) are shown in Fig. 4 for M=5 and P, = O.Q5. The dashed line is z(R,‘, R:)(d) which can be seen to equal co(R,‘, Rz, * . . , R:)(d). We conjecture that R*(d) = co(RzTRzM)(d) for any M > 2 and P, satisfying Q < P, < l/2. When R*(d) = co(R,‘, Rf)(d), the optimum coding-decoding procedure is to have the decoder ignore side information and use only source information for low distortion; to have the decoder ignore source information and use only side information for distortion P,; and to time-share the two schemes for intermediate values of distortion. It is an interesting open problem to characterize the class of correlated sources for which the optimum performance is obtained by time-sharing strictly source information with strictly side information. In general, there exist correlated sources for which the optimum coding-decoding scheme is not a time-sharing scheme; for example, this is true when the source has p(xl y) = 1 for some x,y.