Miracle-dz/UniFAR-FTUs huggingface dataset:
Portrait of 2000/01 Part I Assessments, Part 1: Statistical Analysis

Every year the CompEd research group has undertaken a ''summer reading'' project. This year we have undertaken a whole group project which utilises the skills and research techniques relevant to CSEd research. This statistical analysis is the first in a series of technical reports to disseminate our findings. Its main use is to present a numerical picture of the relationship between assessments, examinations, modules, and overall performance that highlights factors requiring a more in-depth, qualitative approach. Part 2 of the report will build upon this information and will also involve an analysis of the different approaches to assessment setting between the CS Part I modules and the desired learning outcomes. Part 3 of the report will draw together the evidence from parts 1 and 2 and will also involve a closer examination of individual students performances tracing their progress both between modules and across different types of assessment. This will be situated within the context of the findings from parts 1 and 2. The overall aim is to create a taxonomy of assessment.
Virtual Reality in Architecture, in Engineering and Beyond

Virtual Reality (VR) is a technology which has various application fields (from video games to psychiatry). It is indispensable in critical simulation, for instance in military training, in surgical operation simulation, in creation of environments which could set off phobias (in psychiatry), or in realization of virtual prototypes, for instance in industrial design. The aim of this chapter is to present how the VR also finds excellent application fields in architecture and in engineering. For instance, in the teaching of the basic concepts, in techniques of graphic rebuilding for the building restoration, in realization of virtual visits inside buildings, and in urban generative processes simulated by computer. Another use of the virtual reality is in the introduction of a new kind of architecture: Virtual Architecture, strongly connected to the Information and Communication Technology (ITC), to the Internet, and in the virtual prototyping in engineering. DOI: 10.4018/978-1-60960-887-3.ch020
Managing Diversity and Redundancy in Summaries with the Aid of Wikipedia Categories

This paper presents a novel multi-document summarization system that relies on specific features extracted from Wikipedia. The system utilizes mainly two aspects from Wikipedia, its articles titles and categories network. It does not employ the inner content of the articles in Wikipedia, nor inter or inner links. The implemented summarizer includes a module that focuses on managing diversity and redundancy when generating summaries. We describe in this paper how this module is applied on the subtopic clusters which are also generated during the summarization process. The evaluation we performed on the system illustrate its competitiveness when compared against others in the literature.
Cloud Security Using Face Recognition

Establishing identity has become very difficult in the vastly crowded cloud computing environment. The need for a trustworthy cloud authentication phenomenon has increased in the wake of heightened concerns about authentication and rapid advancements in cloud computing, database access, and Internet communication. Face recognition is a non-intrusive method, and facial characteristics are probably most common biometrics features used by humans to identify others. Authentication for cloud computing using face recognition is based on security issues related to data access and cloud database in a cloud. It can provide a satisfactory level of security measures to users and service providers, cloud consumers, and different organizations. In this chapter, the authors cover different research aspects related to cloud security.
An approach to abstraction of a functional hierarchical structure of large-scale programs

In this dissertation, we present an approach to assist a maintenance programmer to abstract a functional hierarchical structure of a given program. In the maintenance phase, this piece of information, in turn, gives him a picture of the overall functionality of the program. This is extremely useful in the situation when no or only inaccurate documentations are available for that program because it is necessary to have such information for redocumenting the program or modifying the program. The approach makes use of a software tool called program slicer which, given a slicing criterion based on a program statement and a set of program variables, will produce a slice of that program with only the statements having influence in computing the values of the given set of program variables observed at the time when the given statement has been completely executed. The resulting slice of the program is itself an executable program, and has the property that any function that can be identified by looking at its source code, can also be identified in the code of the original program, whenever the latter terminates. The approach involves repetitive application of program slicer and results in a collection of slices. This collection of slices are studied for identifying functions in the order defined by a topological sorting based on 'subset' relation on these slices. Since our approach enables a maintenance programmer to focus on a much less complicated piece of codes before dealing with more complicated ones, functions can be identified in a more manageable fashion especially when, in any particular slice, we distinguish statements which implement the functions that have been identified from the other statements in that slice. The ordering defined by the topological sorting based on 'subset' relation on the slices also makes it easier for the maintenance programmer to figure out which function is a sub-function of another.
The properties of property alignment on the semantic web

Cheatham, Michelle. PhD Department of Computer Science and Engineering, Wright State University, 2014. The Properties of Property Alignment on the Semantic Web. Ontology alignment is an important step in enabling computers to query and reason across the many linked datasets on the semantic web. This is a difficult challenge because the ontologies underlying different linked datasets can vary in terms of subject area coverage, level of abstraction, ontology modeling philosophy, and even language. The alignment approach presented here centers on string similarity metrics. Nearly all ontology alignment systems use a string similarity metric in one form or another, but it seems that the choice of a particular metric is often arbitrary. We begin this dissertation with the most comprehensive survey to date on the performance of string similarity metrics and string preprocessing strategies for ontology alignment. Based on this work we present practical guidelines for choosing string metrics in the face of different types of ontologies and different alignment goals. Additionally, we show that string similarity metrics alone can perform competitively with state-of-the-art alignment systems on the most popular benchmarks in the field. One of the contributions of our string similarity metric survey is quantification of the difference in performance between aligning classes and aligning properties (relations between classes). Put simply: aligning properties is hard, and existing string similarity metrics are not of great help. We therefore take on the task of developing a new string-based alignment approach that performs better on properties. Unfortunately, evaluating that approach is difficult because the only existing alignment benchmark that includes properties is, in our view, unrealistic since all relations in the reference alignment are presented as completely certain. Human experts do not have this degree of confidence when asked to align an ontology. We therefore present a more nuanced version of this benchmark that we have created through a combination of expert survey and crowdsourcing. We then present our new string-based property alignment system and evaluate its performance on both the current benchmark and our proposed revision. Our property-centric string metric can be configured for either high precision or high recall. The results show a five-fold increase in precision and a doubling of recall over an approach based on the best current string metric. Finally, we apply our system to a real-world test case and analyze the results.
Coagulation and Flocculation in Water and Wastewater Treatment

Coagulation and Flocculation in Water and Wastewater Treatment provides a comprehensive account of coagulation and flocculation techniques and technologies in a single volume covering theoretical principles to practical applications. Thoroughly revised and updated since the 1st Edition it has been progressively modified and increased in scope to cater for the requirements of practitioners involved with water and wastewater treatment. A thorough gamut of treatment scenarios is attempted, including turbidity, color and organics removal, including the technical aspects of enhanced coagulation. The effects of temperature and ionic content are described as well as the removal of specific substances such as arsenic and phosphorus. Chemical phosphorus removal is dealt with in detail, Rapid mixing for efficient coagulant utilization, and flocculation are dealt with in specific chapters. Water treatment plant waste sludge disposal is dealt with in considerable detail, in an Appendix devoted to this subject. Invaluble for water scientists, engineers and students of this field, Coagulation and Flocculation in Water and Wastewater Treatment is a convenient reference handbook in the form of numerous examples and appended information.
A modified wideband Gysel power divider structure

A MODIFIED WIDEBAND GYSEL POWER DIVIDER STRUCTURE Dilara Oğuz M.S. in Electrical and Electronics Engineering Advisor: Abdullah Atalar December 2016 Power dividers/combiners are one of the essential and crucial components of the modern RF communication systems since dividing makes RF power amplification easier to handle. As the data rates of the systems increase, the demand for wide bandwidth devices become more urgent and essential. Also, wide bandwidth systems show broadband performance in electronic warfare applications such as jamming. However, for RF power combiners/dividers increasing the bandwidth comes along with an engineering trade-off; the isolation of the divider decreases significantly. There are several studies in literature that offer various types of trivial solutions for improving both the bandwidth and the isolation performance of generic Wilkinson and Gysel power divider structures. This work concentrates on the conventional Gysel power divider structure since for high-power applications Gysel divider is preferred mainly for the feasibility of external isolation resistors. We propose a modified Gysel divider structure with a series LC circuit resonant at the center frequency to correct the impedance at the output and the isolation ports and the generic transmission line impedances optimized to adapt to this modification. We both show the interrelations of the capacitor and inductor values and also their relations to the scattering parameters and offer a guideline to choose the appropriate filter for the required application. The experimental results are presented to verify the proposed Gysel divider structure.
Dynamical polarization and plasmons in a two-dimensional system with merging Dirac points

We have studied the dynamical polarization and collective excitations in an anisotropic two-dimensional system undergoing a quantum phase transition with merging of two Dirac points. Analytical results for the one-loop polarization function are obtained at the finite momentum, frequency, and chemical potential. The evolution of the plasmon dispersion across the phase transition is then analyzed within the random phase approximation. We derive analytically the long-wavelength dispersion of the undamped anisotropic collective mode and find that it evolves smoothly at the critical merging point. The effects of the van Hove singularity on the plasmon excitations are explored in detail.
An Assessment of Free, Online Drug-Drug Interaction Screening Programs (DSPs)

Objective This study evaluated the content and usability of four free, online drug-drug interaction screening programs (DSPs) and one proprietary DSP (CD-ROM format) requiring an annual fee. Methods Free, online DSPs that obtain their drug interaction information from unique providers were located through a comprehensive search of the Internet. For comparison purposes, a well-established, fee-based DSP was also included in the study. A tool for evaluating the DSPs for usability and quality of content was created. The usability characteristics assessed included ease of use, ability to support more than two drug entries at the same time, speed, and multifunctionality. Evaluation of content was based on accuracy, completeness, references, drug interaction management, and readability. A five-member panel of clinical pharmacists and drug information specialists in academia and the pharmaceutical industry validated the survey tool. Results Based on overall usability, Drkoop.com (Multum) rated higher than the other free DSPs, but below the comparator, DrugReax (Micromedex). Walgreens.com (Medi-Span) and Medscape (First Data-Bank) ranked lowest among all the DSPs in terms of usability. Based on content, Walgreens ranked first and Clinical Pharmacology 2000 (Gold Standard Multimedia) ranked last (P= 0.015, ANOVA). Conclusion All of the evaluated DSPs were useful. Some were better than others depending on the assessment category. Walgreens rated the highest in terms of accuracy, completeness, and drug interaction management information. Drkoop.com rated the highest with regard to comprehensive references and pharmacist-assessed, consumer-friendly language. All of the free, online DSPs could improve their speed of information retrieval.
Water scarcity and the impact of improved irrigation management: A CGE analysis

We use the new version of the GTAP-W model to analyze the economy-wide impacts of enhanced irrigation efficiency. The new production structure of the model, which introduces a differentiation between rainfed and irrigated crops, allows a better understanding of the use of water resources in agricultural sectors. The results indicate that a water policy directed to improvements in irrigation efficiency in water-stressed regions is not beneficial for all. For water-stressed regions the effects on welfare and demand for water are mostly positive. For non-water scarce regions the results are more mixed and mostly negative. Global water savings are achieved. Not only regions where irrigation efficiency changes are able to save water, but also other regions are pushed to conserve water.
Natural User Interfaces in Medical Image Analysis: Cognitive Analysis of Brain and Carotid Artery Images

This unique text/reference highlights a selection of practical applications of advanced image analysis methods for medical images. The book covers the complete methodology for processing, analysing and interpreting diagnostic results of sample CT images. The text also presents significant problems related to new approaches and paradigms in image understanding and semantic image analysis. To further engage the reader, example source code is provided for the implemented algorithms in the described solutions. Features: describes the most important methods and algorithms used for image analysis; examines the fundamentals of cognitive computer image analysis for computer-aided diagnosis and semantic image description; presents original approaches for the semantic analysis of CT perfusion and CT angiography images of the brain and carotid artery; discusses techniques for creating 3D visualisations of large datasets; reviews natural user interfaces in medical imaging systems, including GDL technology.
Capital humano y patrón de crecimiento sectorial y territorial: España (1964-1998)

This study analyses the time, sectorial and spatial pattern of the process of accumulation of human capital in Spain during the period 1964-98. The results show the generalized nature of the improvements as the basic feature. The increase that has taken place in each sector proves much more relevant than the change in the sectorial structure of the different territorie3s when it comes to accounting for the trendsin the provinces. The data also indicates that there has been spatial convergence in human capital endowments and confirms the influence of these on the determination of the per capita income of the Spanish provinces in the long term.
Implementation of enterprise web knowledge management system based on OWL

To alleviate the problem of giant of unrelated information that emerges when searching knowledge on the web knowledge mana-gement system with traditional methods,a methodology,which applies ontology description language OWL,is presented to build en-terprise web knowledge managementsystem.The method of object-oriented structure is used.It is changed that an enterprise web know-ledge management system is determined by its designer only,and the relationship among various kinds of knowledge is constructed.Based on these,the enterprise web knowledge management system constructing technology in the terminology from semantic based on OWL isdiscussed.Finally,anenterprise web knowledge management system is designed,anda case studybased on OWL is demonstrated.
On Querying Data and Metadata in Multiversion Data Warehouse

Methods of designing a data warehouse (DW) usually assume that its structure is static. In practice, however, a DW structure changes among others as the result of the evolution of external data sources, the changes of the real world represented in a DW, and new user requirements. The most advanced research approaches to managing the evolution of DWs are based on temporal extensions and versioning techniques. An important feature of a DW system supporting evolution is its ability to query different DW states. Such querying is challenging since different DW states may differ with respect to their schemas. As a consequence, a system may not be able to execute a query for some DW states. Our approach to managing the evolution of DWs is based on the so-called Multiversion Data Warehouse (MVDW) that is composed of the sequence of DW versions. In this chapter, we contribute a query language called MVDWQL for querying the MVDW. The MVDWQL supports two types of queries, namely content queries and metadata queries. A content query is used for analyzing the content (i.e., data) of multiple DW versions. A metadata query is used for analyzing the history of evolution of the MVDW. The results of both types of queries are graphically visualized in a user interface.
Reader and author gender and genre in Goodreads

There are known gender differences in book preferences in terms of both genre and author gender but their extent and causes are not well understood. It is unclear whether reader preferences for author genders occur within any or all genres and whether readers evaluate books differently based on author genders within specific genres. This article exploits a major source of informal book reviews, the Goodreads.com website, to assess the influence of reader and author genders on book evaluations within genres. It uses a quantitative analysis of 201,560 books and their reviews, focusing on the top 50 user-specified genres. The results show strong gender differences in the ratings given by reviewers to books within genres, such as female reviewers rating contemporary romance more highly, with males preferring short stories. For most common book genres, reviewers give higher ratings to books authored by their own gender, confirming that gender bias is not confined to the literary elite. The main exception is the comic book, for which male reviewers prefer female authors, despite their scarcity. A word frequency analysis suggested that authors wrote, and reviewers valued, gendered aspects of books within a genre. For example, relationships and romance were disproportionately mentioned by women in mystery and fantasy novels. These results show that, perhaps for the first time, it is possible to get large-scale evidence about the reception of books by typical readers, if they post reviews online.
Data mining approaches in business intelligence: Postgraduate data analytic

Over recent years, there has been tremendous growth of interest in business intelligence (BI) for higher education. BI analysis solutions are operated to extract useful information from a multi-dimensional datasets. However, higher education-based business intelligence is complex to build, maintain and it faces the knowledge constraints. Therefore, data mining techniques provide an effective computational methods for higher education-based business intelligence. The main purpose of using data mining approaches in business intelligence is to provide decision making solution to higher education management. This paper presents the implementation of data mining approaches in business intelligence using a total of 13508 postgraduates (PG) data. These PG data are to allow the research to identify the postgraduates who Graduate On Time (GOT) via business intelligence process integrating data mining approaches. There are four layers will be discussed in this paper: data source layer (Layer 1), data integration layer (Layer 2), logic layer (Layer 3), and reporting layer (Layer 4). The main scope of this paper is to identify suitable data mining which is to allow decision making on GOT so as to an appropriate analysis to education management on GOT. The results show that Support Vector Machine (SVM) classifier is with better accuracy of 99%. Hence, the contribution of data mining in business intelligence allows an accurate decision making in higher education.
Does increasing student activity and reducing lecturing improve learning outcome in courses

Traditionally this course contains 50% lecturing and 50% exercises solved together in the project groups. Based on students assessment of the course in 2012 it was decided to change it in the autumn 2013 trying to activate the students even more by decreasing the lecturing to only 20% using more time and effort on exercises (70%) to be followed up by reflective dialogue with the students about lessons learnt from the exercises (10%).
Location-Based Routing Protocols for Wireless Sensor Networks: A Survey

Recently, location-based routings in wireless sensor networks (WSNs) are attracting a lot of interest in the research community, especially because of its scalability. In location-based routing, the network size is scalable without increasing the signalling overhead as routing decisions are inherently localized. Here, each node is aware of its position in the network through some positioning device like GPS and uses this information in the routing mechanism. In this paper, we first discuss the basics of WSNs including the architecture of the network, energy consumption for the components of a typical sensor node, and draw a detailed picture of classification of location-based routing protocols. Then, we present a systematic and comprehensive taxonomy of location-based routing protocols, mostly for sensor networks. All the schemes are subsequently discussed in depth. Finally, we conclude the paper with some insights on potential research directions for location-based routing in WSNs.
DSP-based implementation of matrix converter

In this paper, a 2.2 kW 3 /spl phi/ -3 /spl phi/ matrix converter for AC motor application is presented. The control strategy and hardware design are described. In order to achieve the sinusoidal average input currents and output line voltages, the space vector technique is applied in the control strategy. The modulator is implemented with DSP and PLD (programmable logic device). Sinusoidal input and output currents with low harmonics are achieved. Some experimental results are given and the performance of the matrix converter is discussed.