Miracle-dz/UniFAR-FTUs huggingface dataset:
A Framework for Visualizing Model-Driven Software Evolution - Its Evaluation

Software Visualization encompasses the development and evaluation of methods for graphical representation of different aspects of software system, including its structure, execution and evolution. Creation of visualization helps the user to have better understanding of the complex phenomena of the software system. It is also found that visualization is vital and important for the software engineering community. In order to visualize the evolution of the models in Model-Driven Software Evolution, a framework has been proposed. This framework is derived by the application of the Goal Question Metric Paradigm. An evaluation of the framework is the major contribution of this paper. Framework is applied to assess and to find the appropriateness of the CASE tools. Six tools are considered for the comparison under this uniform platform. Stakeholder’s perspectives are also considered to evaluate the framework. Framework can also be considered as a design template for the development of the visualization tools for Model-Driven Software Evolution.
The growth of school mathematics: Korean secondary gifted students' collaborative problem solving using the Wiki

Electronic networks have provided new intellectual environments where people can accumulate their cognitive power and have increased the necessity to provide students opportunity to learn together in online CoI (Community of Inquiry) beyond classroom walls. In this respect, this study, as a design experiment, investigated the applicability of the Wiki as a collaborative problem solving tool in Korean secondary gifted educational environments. Fourteen Korean secondary gifted students enrolled in a calculus II course, including two females, in a gifted school in Korea collaboratively solved ten calculus problems for 70 days. In this study, the Wiki functioned as a collective cognitive tool by coalescing individual thinking processes into collective thinking processes on the one hand and by distributing cognitive loads of problem solving over individual cognitions along the logic of solutions and refutations on the other hand. This study provides evidence that the Wiki provided Korean secondary gifted students opportunity to experience collaborative learning and growth of school mathematics and thus realized connected knowing via mathematical contents in online CoI in spite of the inconvenience of writing mathematical expressions using the Wiki. CHAPTER
Package metrics on Java projects

A tool for calculating metric suits over both java source code and its belonging libraries has been implemented. As of this report the tool is able to use the Chidamber & Kemerer object-oriented metrics suite and the Martin Metric suite. A configuration file exist and is used to change the behavior of the calculations and its output. There also is an ignore file that can be used to ignore specific packages, these will not be included in the calculations. The tool has been implemented as extension to the JastAddJ compiler, and is therefore easily extended or modified. Evaluation proved that the tool have an acceptable evaluation time.
Firing accuracy acceptance based on image recognition of template matching

Firing accuracy is a key evaluation index of gun acceptance testing.A novel gun acceptance method,which can improve acceptance precision and reduce acceptance cost,is proposed to ameliorate conventional acceptance methods.To conduct gun acceptance testing,angular dependence between aiming line and axis of barrel is inspected,based on image processing of template matching.The results show that the recognition precision of the template matching method is less than one pixel,and the firing accuracy acceptance precision is approximate 0.26 mil.
Flow Distribution and Pressure Drop in Different Layout Configurations with Z-Type Arrangement

Bipolar plates (BPs) are a key component in fuel cells, which supply fuel and oxidant to reactive sites, remove water and heat, collect current and provide support for the cells in the stack. BPs typically account for 60~85% of the weight and 20~60% of the total cost in a fuel cell stack. It is well-known that performance of a fuel cell is stable in relatively narrow window operational conditions of electrochemistry. A small non-uniformity of flow distribution may lead significant deviation of some channels from the narrow window. Non-uniform flow distribution leads non-uniform electrochemical reactions and causes critical issues of flooding, drying and hotspots. Flow field designs in BPs are central to ensure uniform flow distribution and low pressure drop and to tackle systematically these critical issues. In spite of all the industrial R & D efforts, the gas flow fields in BPs remain one of the most important issues. In this paper, the generalised and unified theory developed by Wang (Int. J. of Hydrogen Energy 2010; 35: 5498-550) was extended to different layout configurations with Z-type arrangement in flow field designs of BPs. The present generalised theory has unique capacities to compare directly, systematically and quantitatively different configurations, existing models and methodologies. The theory makes a step forward in flow field designs in BPs, and provides practical guideline and measures to ensure uniform flow distribution in various configurations of BPs. This type of rational yet tractable generalised theory can contribute to the shared goal of cutting the currently high cost of R & D of fuel cells and performance improvement for commercialisation of fuel cells, which is central to a fuel cell engineer’s “toolbox”. Key words: Bipolar plate; Fuel cell stack; Flow distribution; Manifold; Parallel channels; Pressure drop
A Novel Method for Locally Updating an Earth Model While Geosteering

Earth models are important tools for support of decision making processes for optimal exploitation of subsurface resources. For geosteering and other real-time processes where time is a major constraint, effective model management is decisive for optimal decision support. During drilling, subsurface information is received which should optimally be used to modify the 3D earth model. Today this model is typically not altered during the operation. We discuss the principles of a novel method that enables a populated earth model grid to be locally modified when the topology (connectivity) of the geological structure is locally altered. The method also allows local updates of the grid resolution. The modelled volume is split into closed regions by the structural model. Each region is individually discretized and obtains its own subgrid. Properties are stored in separate functions, e.g. for each layer, and transferred into each subgrid via a mapping. A local update of the geological structure implies that only subgrids in regions that are directly affected by the updated structure must be discarded and rebuilt, and the rest of the populated earth model grid is retained. Our focus is on decision support for optimal well placement while geosteering. The proposed method aims to manage multiple model realizations that are never fixed and always locally updated with the most recent measurements and interpretations in real-time, and where each realization is always kept at an optimal resolution.
Survey of Word Sense Annotated Corpus Construction

The bottleneck of word sense disambiguation(WSD)is lack of large scale,high-quality word sense annotated corpus.In this paper,several word sense annotated corpus are introduced in the aspects of corpus coverage,dictionary,tokens,word types and the inter annotator agreement,involving English,Chinese and Japanese.As for the auto and semi-auto construction methods,this papers focuses on bootstrapping methods and word-aligned parallel corpus based approaches.And finally,some issues in the word sense annotated corpus construction are pointed and possible solutions are given.
Assessment of suitable habitat for Phragmites australis (common reed) in the Great Lakes coastal zone

In the Laurentian Great Lakes, the invasive form of Phragmites australis (common reed) poses a threat to highly productive coastal wetlands and shorelines by forming impenetrable stands that outcompete native plants. Large, dominant stands can derail efforts to restore wetland ecosystems degraded by other stressors. To be proactive, landscape-level management of Phragmites requires information on the current spatial distribution of the species and a characterization of areas suitable for future colonization. Using a recent basin-scale map of this invasive plant’s distribution in the U.S. coastal zone of the Great Lakes, environmental data (e.g., soils, nutrients, disturbance, climate, topography), and climate predictions, we performed analyses of current and predicted suitable coastal habitat using boosted regression trees, a type of species distribution modeling. We also investigated differential influences of environmental variables in the upper lakes (Lakes Superior, Michigan, and Huron) and lower lakes (Lakes St. Clair, Erie, and Ontario). Basin-wide results showed that the coastal areas most vulnerable to Phragmites expansion were in close proximity to developed lands and had minimal topographic relief, poorly drained soils, and dense road networks. Elevated nutrients and proximity to agriculture also influenced the distribution of Phragmites. Climate predictions indicated an increase in suitable habitat in coastal Lakes Huron and Michigan in particular. The results of this study, combined with a publicly available online decision support tool, will enable resource managers and restoration practitioners to target and prioritize Phragmites control efforts in the Great Lakes coastal zone.
An answer summarization method based on keyword extraction

In order to reduce the redundancy of answer summary generated from community q&a dataset without topic tags, we propose an answer summarization algorithm based on keyword extraction. We combine tf-idf with word vector to change the influence transferred ratio equation in TextRank. And then during summarizing, we take the ratio of the number of sentences containing any keyword to the total number of candidate sentences as an adaptive factor for AMMR. Meanwhile we reuse the scores of keywords generated by TextRank as a weight factor for sentence similarity computing. Experimental results show that the proposed answer summarization is better than the traditional MMR and AMMR.
Performance Evaluation and Modeling Method Research Based on IaaS Cloud Platform

With the widespread use of cloud platforms, their performance evaluation tools also have become the research hot spot of academic circle. So far, many performance evaluation tools of the cloud platform have been designed in their corresponding application scenarios, which have brought much convenience on the performance evaluation and management of the cloud platform. In order to predict the maximum number of virtual machines that can be opened by the cloud platform, this paper integrates the current tools of performance evaluation and proposes a performance evaluation tool based on IaaS cloud platform. The key of the performance evaluation tool is that it not only can evaluate the performance of the cloud platform, but also can predict the maximum number of virtual machines that can be opened by the cloud platform when the configuration of the virtual machine and the workload of each virtual machine have been known. This special performance evaluation tool has not been put forward now. And, the prediction model has been introduced into this tool in this paper that is the most important and core part. Lastly, to test the effectiveness of cloud platform performance evaluation tool proposed in this paper, some tests have been done on the IaaS cloud platform. According to the contrast results of the forecast error among models, establishing support vector machine and neural network as single forecasting model. The results show combined model can be chosen as the prediction model of cloud platform performance evaluation tool.
A New Multilayer Feedforward Network Based on Trimmed Mean Neuron Model

The multilayer perceptron model has been suggested as an alternative to conventional approaches, and can accurately forecast time series. Additionally, several novel artificial neural network models have been proposed as alternatives to the multilayer perceptron model, which have used (for example) the generalizedmean, geometric mean, and multiplicative neuron models. Although all of these artificial neural network models can produce successful forecasts, their aggregation functions mean that they are negatively affected by outliers. In this study, we propose a new multilayer, feed forward neural network model, which is a robust model that uses the trimmed mean neuron model. Its aggregation function does not depend on outliers. We trained this multilayer, feed forward neural network using modified particle swarm optimization. We applied the proposed method to three well-known time series, and our results suggest that it produces superior forecasts when compared with similar methods.
Moving Target Selection in Interactive Video

In this thesis, we present the results of a user study that compares three different selection methods for moving targets in 1D and 2D space. The standard Chaseand-Click method involves pursuing an onscreen target with the mouse pointer and clicking on it once directly over it. The novel Click-to-Pause method involves first depressing the mouse button to pause all onscreen action, moving the cursor over the target and releasing the mouse button to select it. The Hybrid method combines the initial pursuit with the ability to pause the action by depressing the mouse button, affording an optimization of the point of interception. Our results show that the Click-to-Pause and Hybrid methods results in lower selection times than the Chase-and-Click method for small or fast targets, while the Click-to-Pause technique is the lowest overall for small-fast targets. We integrate the more practical Hybrid method into a multi-view video browser to enable the selection of hockey players in a pre-recorded hockey game. We demonstrate that the majority of correct player selections were performed while the video was paused and that our display method for extraneous information has no effect on selection task performance. We develop a kinematic model that is based on movement speed and direction in 1D as an adjustment to the effective width and distance of a target. Our studies show that target speed assists users when a target is approaching, up to a critical velocity where the direction is irrelevant and speed is entirely responsible for the index of difficulty. In addition, we suggest that existing linear and discrete models of human motor control are inadequate for modeling the selection of a moving target and recommend the minimum jerk law as a guide for measuring human motor acceleration. By combining our empirical results from moving target selection
Reality – Merging

Virtual Reality (VR) appears a natural medium for computer supported collaborative work (CSCW). However immersive Virtual Reality separates the user from the real world and their traditional tools. An alternative approach is through Mixed Reality (MR), the overlaying of virtual objects on the real world. This allows users to see each other and the real world at the same time as the virtual images, facilitating a high bandwidth of communication between users and intuitive manipulation of the virtual information. We review MR techniques for developing CSCW interfaces and describe lessons learned from developing a variety of collaborative Mixed Reality interfaces. Our recent work involves the use of computer vision techniques for accurate MR registration. We describe this and identify areas for future research.
Lengua y epigrafía celtibéricas

A dia de hoy nadie duda de que en la peninsula iberica habia una buena cantidad de pueblos de habla celta antes de la llegada de los romanos a ella en 218 a. C. Varios de ellos empleaban una lengua que la paleohispanistica moderna denomina mediante el etnonimo clasico “celtiberico”. Estos celtiberos adoptaron la escritura de sus vecinos iberos, pero fue el contacto con los romanos el responsable de su eclosion epigrafica. A medida que se iban romanizando culturalmente, se fueron tambien latinizando grafica y linguisticamente, hasta que terminaron por diluirse. El articulo contiene un mapa a doble pagina con los principales hallazgos epigraficos en lengua celtiberica.
Estimation of (co) variance components of ewe productivity traits in Kermani sheep.

The present study was carried out to estimate (co)variance components and genetic parameters for some productivity traits of Kermani ewes using data collected during a 16-year period (1995-2011) at Breeding Station of Kermani sheep, located in Shahrebabak city, Kerman province, Iran. The traits studied were: conception rate (CR), litter size at birth per ewe exposed (LSB/EE), litter size at weaning per ewe exposed (LSW/EE), total litter weight at birth per ewe exposed (TLWB/EE) and total litter weight at weaning per ewe exposed (TLWW/EE). Genetic analysis of the studied traits was performed applying restricted maximum likelihood (REML) procedure under uni- and multivariate repeatability models. Ewe age at lambing and lambing year had significant effects on all the studied traits (P<0.01). Weaning age of lambs had significant effect on TLWW/EE as a linear covariate (P<0.01). Estimates of direct heritability for CR, LSB/EE, LSW/EE, TLWB/EE and TLWW/EE were 0.08, 0.06, 0.07, 0.11 and 0.15, respectively, while corresponding repeatability estimates were 0.25, 0.19, 0.18, 0.25 and 0.31, respectively. There were found no antagonist relationship among the studied traits in terms of phenotypic, genetic and environmental effects. Direct genetic correlation estimates among the studied traits varied from low estimate of 0.16 for CR-TLWB/EE to high estimate 0.95 for CR-LSB/EE. Low to medium phenotypic correlation estimates of 0.07 (LSB/EE-TLWW/EE) and 0.46 (TLWB/EE-TLWW/EE) were found. It seems that selection based on TLWW/EE, as an efficient selection criterion bring about genetic progress for ewe productivity traits in Kermani sheep.
CoDesign with data

Design is a process of changing current situations into preferred ones, through conversations with design materials, and an understanding of the present practice of the designed artefact’s future users. Domain-relevant data, such as those generated by personal and autonomous computing systems, are an increasingly important design material presenting new ways to explore current practice. Examples of these data include that being generated by people using smartphones, health and fitness monitors, smart energy meters and social media; or that from official statistics made publicly available via Open Data initiatives. This thesis details research developing CoDesign With Data, a novel approach to collaborative early-stage design workshops in which working with domain-relevant data is the key distinguishing feature. During a CoDesign With Data workshop participants are given the tools and techniques to help them seek insight from data, gain an understanding of the context these data might come from, and to inspire creative design ideas. These tools and techniques build on an understanding of research into information visualization and applied creativity. The activities in which they are used build on the experiences reported from other approaches to creativity in collaborative requirements gathering and design workshops. The aim of this research is to support design innovation that results in new products or services appropriate to the contexts in which they will be used. To investigate the primary research question, and evaluate the tools and techniques being developed, two design experiments and three case studies were undertaken. In each study, examples of tools, in the form of workshop materials and information visualization interfaces, and techniques, in the form of workshop activities, are presented, and simple takeaways for design practice are offered. Finally, the knowledge and understanding gained during this research is presented as a series of guidelines and recommendations, and a description of the current state-of-the-art CoDesign With Data workshop.
Syllabification for Afrikaans speech synthesis

This paper describes the continuing development of a pronunciation resource for speech synthesis of Afrikaans by augmenting an existing pronunciation dictionary to include syllable boundaries and stress. Furthermore, different approaches for grapheme to phoneme conversion and syllabification derived from the dictionary are evaluated. Cross-validation experiments suggest that joint sequence models are effective at directly modelling pronunciations including syllable boundaries. Finally, some informal observations and demonstrations are presented regarding the integration of this work into a typical text-to-speech system.
Semantic-based Arabic Question Answering: Core and Recent Techniques

Providing the right answer remains a hot research field in Question Answering (QA). Considerable improvements in QA performance were obtained by adopting core semantic techniques like WordNet. However, an ideal adoption of such technique in Arabic QA is quite challenging, particularly for Fatwa QA which answers questions in Islamic religion domain. The point of this review is to overview the state of the art Arabic Fatwa QA models with a focus on the core and recent semantic representation techniques and present a comparative summary that involves QA paradigms, semantic techniques, performance, scope, and limitations. The Aim is to highlight the new directions and open issues regarding the challenges for answering Arabic Fatwa questions on semantics basis. Recent semantic techniques like “Skip-Gram/CBOW” NN embeddings revealed a promising performance compared to a core technique "Ontology" when adopted in some tasks of Arabic Fatwa QA.
Next-Generation Summarization: Contrastive, Focused, and Update Summaries

Classical multi-document summaries focus on the common topics of a document set and omit distinctive themes particular to a single document—thereby often suppressing precisely that kind of information a user might need for a specific task. This can be avoided through advanced multi-document summaries that take a user’s context and history into account, by delivering focused, contrastive, or update summaries. To facilitate the generation of these different summaries, we propose to generate all types from a single data structure, topic clusters, which provide for an abstract representation of a set of documents. Evaluations carried out on five years’ worth of data from the DUC summarization competition prove the feasibility of this approach.
DOMAIN-INDEPENDENT DESIGN SYSTEM Environment/or rapid development of configuration-design systems

This paper describes the Domain-Independent Design System (DIDS). DIDS provides a set of tools capable of rapidly constructing configuration-design systems from a library of reusable software elements, called mechanisms. The power of DIDS comes from its model of configuration design that enables reusable mechanism to be identified. DIDS contains four components. The first component, the Problem-Solving-Method (PSM) Editor builds PSMs by combining mechanisms. The Code Generator, DIDS's second component, generates a problem solver from the PSM description created in the editor. The third component, the Knowledge-Acquisition Tool Generator builds a knowledge acquisition (KA) tool that interviews the domain expert to gather the knowledge required by the DIDS-generated problem solver. The final component, the Debugging Tool, monitors the execution of the problem solver to uncover errors made during KA, and to improve the performance of the design tool. This paper presents a scenario demonstrating how DIDS will be used to build configuration systems.