Miracle-dz/UniFAR-FTUs huggingface dataset:
Generating Rewrite Rules by Browsing RDF Data

In this paper we show how path queries in the Wilbur query engine can be augmented via the use of a simple rule system. This system can substitute atomic query expressions with complex queries, effectively rewriting queries. We demonstrate that this approach can be used for simple reasoning in the context of RDF(S). We further present a tool that allows the user to create complex queries merely by browsing an RDF graph, and by virtue of naming the automatically generated queries can create rules for the rule system. These rules appear in the system as "virtual" RDF properties, and enable the user to interactively customize how RDF data is presented
Experimental Evaluation of UWB Ranging Performance for Correlation and ED Receivers in Indoor Environments

UWB signal reception in a ranging system can be accomplished by either coherent receiver or non-coherent receiver. Correlation receiver is a type of coherent receiver while energy detection (ED) receiver falls into the non-coherent category. In this paper, we evaluate their ranging performances using the channel profiles measured in various indoor environments. The effects of important system parameters such as sampling rate and threshold on the ranging performance are also investigated. Results show that ranging accuracy is heavily dependent on the system parameters settings, especially in LOS environment. The correlation receiver requires much higher sampling rate to achieve the same ranging accuracy as compared to ED receiver. The study also shows that regardless of receiver type used, the resultant ranging error for NLOS environments can be described by a unified model. The proposed model is validated by measurement data.
Investigating Memory Optimization of Hash-index for Next Generation Sequencing on Multi-core Architecture

Next Generation Sequencing (NGS) is gaining interests due to the increased requirements and the decreased sequencing cost. The important and prerequisite step of most NGS applications is the mapping of short sequences, called reads, to the template reference sequences. Both the explosion of NGS data with over billions of reads generated each day and the data intensive computations pose great challenges to the capability of existing computing systems. In this paper, we take a hash index based algorithm (PerM) as an example to investigate the optimization approaches for accelerating NGS reads mapping on multi-core architectures. First, we propose a new parallel algorithm that reorders bucket access in hash index among multiple threads so that data locality in shared cache is improved. Second, in order to reduce the number of empty hash bucket, we propose a serialized hash index compression algorithm, which coincides with the sequential access nature of our new parallel algorithm. With reduced hash index size, it also becomes possible for us to use longer hash keys, which alleviates the hash conflicts and improves the query performance. Our experiment on an 8-socket 8-cores Intel Xeon X7550 SMP with 128 GB memory shows that the new parallel algorithm reduces LLC miss ratio to be 8%~15% of the original algorithm and the overall performance is improved by 4~11 times (6 times avg.).
Validation of non-linear dynamic FEM model for design of PM machines with concentrated windings in ship application

The machine under study is a surface-mounted outer rotor permanent magnet (PM) synchronous machine with concentrated windings, which is integrated in a flywheel of a diesel engine. The main objective of this work is to build an accurate nonlinear transient finite element method (FEM) model coupling to circuit model and validate this experimentally. The FEM model is made by scripts, so it is very convenient to change design parameters of PM machine. This will help in design optimization of PM machines. A sample PM machine is investigated for validating no-load voltage, load voltage, electric current, electromagnetic torque, short circuit current and reactance of FEM model. Comparison of simulation and experimental results shows very good agreement with error margin smaller than 3%. Results show that the end effects of a PM machine with concentrated windings having large number of teeth and poles can be neglected, even when its diameter is larger than its length. Analysis of results during three-phase short circuit shows that armature current during short circuit is limited strongly by armature reaction in the d-axis direction, even though the winding resistance is much smaller than the reactance. It can be shown that a PM machine designed with reasonable reactance can avoid demagnetization due to three-phase short circuit.
A NEW APPROACH TO FAST MOSAIC UAV IMAGES

Unmanned Aerial Vehicles (UAVs) have been widely used to acquire high quality terrain images of the areas of interest, particularly when such a task could potentially risk human life or even impossible as the areas cannot be accessed easily by surveyors. Once the images have been obtained, traditional photogrammetric processing process can be used to establish a relative orientation model and then, absolute orientation model with the procedures of space resection and intersection. In many such applications, the geo- referenced images which are stitched together to represent the geospatial relationships for the feature objects are sufficient. A fast or near real-time processing approach for UAV images using GPS/INS data has being investigated for years. One beneficial application of such approach is the capability of quick production of geo-referenced images for various engineering or business activities, such as urban and road planning, the site selection of factories and bridges, etc. In this paper, we have proposed a new fast processing approach for the UAV images collected with an integrated GPS/INS/Vision system. The approach features that the corresponding points between images have been determined, and then coordinate transformation is carried out to implement image stitching. The accuracy of corresponding points normally affects the quality of stitched images, but the results of our experiments revealed that the image stitching errors were obvious even the accuracy of corresponding points was high. The stitching errors could be caused by the changes of surface elevation.
Browsers to Support Awareness and Social Interaction 2

are the Web’s main features that have enabled online communities to abound and flourish. However, the Web is lacking cues and browsing mechanisms for the online social spaces. That is, such spaces look and feel abstract and informational rather than inviting for social interaction. Consequently, newcomers and occasional visitors to such sites cannot quickly assess who the participants are; what the purpose, tenor, and norms of the space are; which sorts of newcomers are welcomed; and what forms of participation are valued. Thus, users need support for social browsing in such spaces. On the flip side, active contributors to social spaces (such as Web communities) lack the means to present a public face to visitors. Gathering places in the physical world, in contrast, reflect artifacts, patterns, and traces of social presence, activities, and organization. They convey the life, character, relationships, and social cues that are important for social interaction and organization. Such social information and patterns exist in the electronic world but are buried in the content-centric information. (For more information see the “Social Visualizations” sidebar.) The challenge of creating social browsing tools to access such social information and patterns is of interest as a visual analytic problem for two reasons. First, unlike traditional users of typical visual analytic tools, Web community visitors and participants are neither necessarily literate on visualizations, nor do they view their social inquiry activities as explicit forms of visual analysis activities. Hence, these users of social browsing require tools that focus not only on information visualization but also on visual design and user support mechanisms. Second, to apply visualization techniques to the domain of social computing and the problem of providing cues and conveying social dynamics in online communities, we would apply visual analytics to the Visual Analytics
Observational characteristics and possible asphericity of overluminous Type Ia supernovae

A few Type Ia supernovae (SNe Ia) have been suggested to be an explosion of a superChandrasekhar-mass white dwarf (WD) in order to account for their large luminosities, requiring a large amount of 56 Ni. However, the candidate overluminous SNe Ia 2003fg, 2006gz and (moderately overluminous) SN 1991T have very different observational features: the characteristic time-scale and velocity are very different. We examine if and how the diversity can be explained, by one-dimensional spherical radiation transport calculations covering a wide range of model parameters (e.g. WD mass). The observations of SN 2006gz are naturally explained by the super-Chandrasekhar-mass model. SN 1991T represents a marginal case, which may either be a Chandrasekhar or a super-Chandrasekhar-mass WD explosion. In contrast, the low velocity and short time-scale seen in SN 2003fg indicate that the ejecta mass is smaller than the Chandrasekhar mass, which is in apparent contradiction to the large luminosity. We suggest that the problem is solved if the progenitor WD, and thus the SN explosion, is aspherical. This may reflect a rapid rotation of the progenitor star, likely a consequence of the super-Chandrasekhar-mass WD progenitor. The observed differences between SNe 2003fg and 2006gz may be attributed to different viewing orientations.
Security Challenges Of Cloud Computing

: In today‘s ICT service industry, there are many changes that promote technology services in many markets. Cloud Computing is a comprehensive solution that delivers IT as a service. Different Cloud Services enable an organization to operate its IT applications on an OPEX model rather than the traditional CAPEX model. The cloud computing significantly impacts shifting of both IT paradigm and Telecom platform. Telecommunication services, especially the Internet service have flooded the world with huge volume of information and posing challenges to the organizations and telecommunication operators on keeping up expanding the network in order to provide the good quality of services while providing higher level of security on service deliverables. In this paper, we examine the types of security risks been glued on to the cloud computing and the importance of refrain from those vulnerabilities in mass scale.
The Measurement of Household Welfare: Frontmatter

The measurement of household welfare is one of the most compelling yet demanding areas in economics. To place the analysis of inequality and poverty within an economic framework where individuals are making decisions about current and lifetime incomes and expenditures is a difficult task, made all the more challenging by the complexity of the decision-making process in which households are involved and the variety of constraints they face. This 1994 book examines the conceptual and practical difficulties of making inferences from observed behaviour. It addresses the problems of making comparisons across a range of very different households and discusses how data for such comparisons should be collected. The contributions, from experts from Europe, North America and Australia, have the unifying theme that there is a strong relationship between theoretical concepts from microeconomics and the appropriate use of micro data in evaluating household welfare.
Predictors of Pulmonary Function Response to Treatment with Salmeterol/fluticasone in Patients with Chronic Obstructive Pulmonary Disease

Chronic obstructive pulmonary disease (COPD) is a heterogeneous disease and responses to therapies are highly variable. The aim of this study was to identify the predictors of pulmonary function response to 3 months of treatment with salmeterol/fluticasone in patients with COPD. A total of 127 patients with stable COPD from the Korean Obstructive Lung Disease (KOLD) Cohort, which were prospectively recruited from June 2005 to September 2009, were analyzed retrospectively. The prediction models for the FEV1, FVC and IC/TLC changes after 3 months of treatment with salmeterol/fluticasone were constructed by using multiple, stepwise, linear regression analysis. The prediction model for the FEV1 change after 3 months of treatment included wheezing history, pre-bronchodilator FEV1, post-bronchodilator FEV1 change and emphysema extent on CT (R = 0.578). The prediction models for the FVC change after 3 months of treatment included pre-bronchodilator FVC, post-bronchodilator FVC change (R = 0.533), and those of IC/ TLC change after 3 months of treatment did pre-bronchodilator IC/TLC and post-bronchodilator FEV1 change (R = 0.401). Wheezing history, pre-bronchodilator pulmonary function, bronchodilator responsiveness, and emphysema extent may be used for predicting the pulmonary function response to 3 months of treatment with salmeterol/fluticasone in patients with COPD.
Keyword extraction using backpropagation neural networks and rule extraction

Keyword extraction is vital for Knowledge Management System, Information Retrieval System, and Digital Libraries as well as for general browsing of the web. Keywords are often the basis of document processing methods such as clustering and retrieval since processing all the words in the document can be slow. Common models for automating the process of keyword extraction are usually done by using several statistics-based methods such as Bayesian, K-Nearest Neighbor, and Expectation-Maximization. These models are limited by word-related features that can be used since adding more features will make the models more complex and difficult to comprehend. In this research, a Neural Network, specifically a backpropagation network, will be used in generalizing the relationship of the title and the content of articles in the archive by following word features other than TF-IDF, such as position of word in the sentence, paragraph, or in the entire document, and formats such as heading, and other attributes defined beforehand. In order to explain how the backpropagation network works, a rule extraction method will be used to extract symbolic data from the resulting backpropagation network. The rules extracted can then be transformed into decision trees performing almost as accurate as the network plus the benefit of being in an easily comprehensible format.
Semantic-based weaving of scenarios

The notion of aspect looks promising for handling cross-cutting concerns earlier in the software life-cycle, up from programming to design, analysis and even requirements. Support for aspects is thus now raising interest also at the modeling level, including with behavioral modeling languages such as scenarios. With this kind of modeling languages, even if aspect weaving can be performed at the abstract syntax level, a weaving at the semantics level seems a far more appealing and powerful mechanism. In this paper we present a semantic-based aspect weaving algorithm for Hierarchical Message Sequence Charts (HMSCs). The algorithm proposed uses a set of transformations that take into account the compositional semantics of HMSCs to weave an initial HMSC and a behavioral aspect expressed with scenarios.
Revisiting the combining synchronization technique

Fine-grain thread synchronization has been proved, in several cases, to be outperformed by efficient implementations of the combining technique where a single thread, called the combiner, holding a coarse-grain lock, serves, in addition to its own synchronization request, active requests announced by other threads while they are waiting by performing some form of spinning. Efficient implementations of this technique significantly reduce the cost of synchronization, so in many cases they exhibit much better performance than the most efficient finely synchronized algorithms. In this paper, we revisit the combining technique with the goal to discover where its real performance power resides and whether or how ensuring some desired properties (e.g., fairness in serving requests) would impact performance. We do so by presenting two new implementations of this technique; the first (CC-Synch) addresses systems that support coherent caches, whereas the second (DSM-Synch) works better in cacheless NUMA machines. In comparison to previous such implementations, the new implementations (1) provide bounds on the number of remote memory references (RMRs) that they perform, (2) support a stronger notion of fairness, and (3) use simpler and less basic primitives than previous approaches. In all our experiments, the new implementations outperform by far all previous state-of-the-art combining-based and fine-grain synchronization algorithms. Our experimental analysis sheds light to the questions we aimed to answer. Several modern multi-core systems organize the cores into clusters and provide fast communication within the same cluster and much slower communication across clusters. We present an hierarchical version of CC-Synch, called H-Synch which exploits the hierarchical communication nature of such systems to achieve better performance. Experiments show that H-Synch significantly outper forms previous state-of-the-art hierarchical approaches. We provide new implementations of common shared data structures (like stacks and queues) based on CC-Synch, DSM-Synch and H-Synch. Our experiments show that these implementations outperform by far all previous (fine-grain or combined-based) implementations of shared stacks and queues.
Surface plasmon polariton mediated energy transfer from external antennas into organic photovoltaic cells

Despite significant improvements in the performance of organic photovoltaic devices in recent years, the tradeoff between light absorption and charge separation efficiency remains pervasive; increasing light absorption by increasing the device thickness leads to a decrease in exciton diffusion efficiency and vice versa. In this thesis, I demonstrate organic solar cells with an external light absorbing antenna. Light is absorbed by the external antenna and subsequently transferred into the photovoltaic cell via surface plasmon polariton modes in an interfacial thin silver contact. By decoupling the optical and electrical functions of the cell, this new architecture has the potential to circumvent the tradeoff between light absorption and charge separation efficiency. Non-radiative energy transfer is discussed and modeling finds that efficient energy transfer is mediated by surface plasmon polaritons. Devices with two very different antenna systems are demonstrated experimentally. Antennas with high photoluminesence efficiency are found to exhibit energy transfer efficiencies of approximately 50% while strongly absorbing antennas exhibit increases in photocurrent as high as 700% when compared to devices with non-functioning antennas even with very low photoluminesence efficiencies near 4%. These results suggest that this new device architecture could lead to significantly higher power conversion efficiencies by allowing the independent optimization of the optical and electrical components of organic photovoltaic cells. Thesis Supervisor: Marc A. Baldo Title: Associate Professor
Ethnic influences on attractiveness and trustworthiness perceptions of celebrity endorsers

Abstract This research examines how the commonality or difference in ethnicity between consumer and celebrity endorser affects the attractiveness and trustworthiness consumers ascribe to recognizable brand spokespersons. Three studies reveal two potential routes through which such effects arise. When the message was limited to simple endorser identification or when priming focused the consumer’s processing on his or her own felt ethnicity, common ethnicity facilitated favourable perceptions across both attractiveness and trustworthiness. In a more complete ad-processing environment, without specific priming of the consumer’s personal ethnic identification, more complex and variable attractiveness and trustworthiness judgments arose.
Graph Partition Based Bundle Adjustment for Structured Dataset

Bundle adjustment has been considered as one of the most important components in many visual tasks such as 3D reconstruction, photo grammetry, visual SLAM, etc. Unfortunately, both time and space complexity of this adjustment prevent it from being directly applied to large scale datasets. This paper presents a sub mapping method, which partitions a large scale dataset into disjointed subsets and adjusts them one by one or in parallel. Pair-wise sub maps are then "stitched" together by applying a similarity transformation. Both simulations and real applications show that our method scales well. Also some basic questions of this sub mapping method including map size, map fusion and global consistency are discussed.
Energy-efficient cache design in emerging mobile platforms: The implications and optimizations

Mobile devices are quickly becoming the most widely used processors in consumer devices. Since their major power supply is battery, the energy-efficient computing is highly desired. In this paper, we focus on the energy-efficient cache design in emerging mobile platforms. We observe that more than 40% of L2 cache accesses are OS kernel accesses in interactive smartphone applications. Such frequent kernel accesses cause serious interferences between the user and kernel blocks in the L2 cache, leading to the unnecessary block replacements and high L2 cache miss rate. We propose to partition the L2 cache into two separate segments which can only be accessed by the user code and kernel code, respectively. Meanwhile, the overall size of the two segments is shrunk, which greatly reduces the energy consumption by 15% while still maintains the similar cache miss rate. We further find completely different access behaviors between the two separated kernel and user segments in our novel L2 cache design, and explore the multi-retention STT-RAM based user and kernel segments to maximize the cache energy savings. The experimental results show that our techniques significantly reduce the cache energy consumption (e.g. 75%) with only 2% performance loss in emerging smartphones.
Opinions on Divorce in Georgia between Different Demographic Groups

Divorce has always been a divisive topic; indeed, divorce rates differ wildly among members of different demographic groups. What of their opinions, though? What are the differences in opinions on divorce in Georgia between separate different demographic groups? My research suggests that the different lines of thought are drawn largely on religious and ethnic lines, rather than such factors as gender, age or annual household income. Thesis Mentor:__________________________ Dr. Heidi Altman Honors Director:_________________________ Dr. Steven Engel April 2015 Department of Sociology and Anthropology University Honors Program Georgia Southern University
Take CoVer: exploiting version support in cooperative systems

Current CSCW applications support one or more modes of cooperative work. The selection of and transition between these modes is usually placed on the users. At IPSI we built the SEPIA cooperative hypermedia authoring environment supporting a whole range of situations arising during collaborative work and the smooth transitions between them. While early use of the system shows the benefits of supporting smooth transitions between different collaborative modes, it also reveals some deficits regarding parallel work, management of alternative documents, or reuse of document parts. We propose to integrate version support to overcome these limitations. This leads to a versioned data management and an extended user interface enabling concurrent users to select a certain state of their work, to be aware of related changes, and to cooperate with others either asynchronously or synchronously.