318,157 research outputs found
A MODEL FOR PEFORMANCE EVALUATION OF INTERACTIVE SYSTEMS
We describe a quantitative model for the performance evaluation of interactive computer
systems. The approach involves the development of an "interaction graph" or state
transition diagram to describe the user-machine interaction. Given numerical data on
transition times and probabilities, the model can be used to perform sensitivity analyses of
changes in system parameters and user behavior. To illustrate the model, we use empirical
data from field and laboratory experiments designed to compare a prototype natural
language query system with a formal (relational) query system. The general approach is
applicable in a broad range of other contexts including bibliographic retrieval and the
analysis of web-log data. It should be of interest to both system developers and potential
users of these systems.Information Systems Working Papers Serie
Orbiter Flying Qualities (OFQ) Workstation user's guide
This project was devoted to the development of a software package, called the Orbiter Flying Qualities (OFQ) Workstation, for working with the OFQ Archives which are specially selected sets of space shuttle entry flight data relevant to flight control and flying qualities. The basic approach to creation of the workstation software was to federate and extend commercial software products to create a low cost package that operates on personal computers. Provision was made to link the workstation to large computers, but the OFQ Archive files were also converted to personal computer diskettes and can be stored on workstation hard disk drives. The primary element of the workstation developed in the project is the Interactive Data Handler (IDH) which allows the user to select data subsets from the archives and pass them to specialized analysis programs. The IDH was developed as an application in a relational database management system product. The specialized analysis programs linked to the workstation include a spreadsheet program, FREDA for spectral analysis, MFP for frequency domain system identification, and NIPIP for pilot-vehicle system parameter identification. The workstation also includes capability for ensemble analysis over groups of missions
ACORA: Distribution-Based Aggregation for Relational Learning from Identifier Attributes
Feature construction through aggregation plays an essential role in modeling relational
domains with one-to-many relationships between tables. One-to-many relationships
lead to bags (multisets) of related entities, from which predictive information
must be captured. This paper focuses on aggregation from categorical attributes
that can take many values (e.g., object identifiers). We present a novel aggregation
method as part of a relational learning system ACORA, that combines the use of
vector distance and meta-data about the class-conditional distributions of attribute
values. We provide a theoretical foundation for this approach deriving a "relational
fixed-effect" model within a Bayesian framework, and discuss the implications of
identifier aggregation on the expressive power of the induced model. One advantage
of using identifier attributes is the circumvention of limitations caused either by
missing/unobserved object properties or by independence assumptions. Finally, we
show empirically that the novel aggregators can generalize in the presence of identi-
fier (and other high-dimensional) attributes, and also explore the limitations of the
applicability of the methods.Information Systems Working Papers Serie
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Updating XML Views Published over Relational Databases: Towards the Existence of a Correct Update Mapping
XML data management using relational database systems has been intensively studied in the last few years. However, in order for such systems to be viable, they must support not only queries, but also updates over virtual XML views that wrap the relational data. While view updating is a long-standing difficult issue in the relational context, the flexible XML data model and nested XML query language both pose additional challenges for view updating. This paper addresses the question, if for a given update over an XML view, a correct relational update translation exists. First, we propose a clean extended-source theory as criteria for determining whether a given translation mapping is correct. To determine the existence of such a correct mapping, we classify a view update as either un- translatable, conditionally or unconditionally translatable under a given update translation policy. This classification depends on several features of the XML view and the update: (a) granularity of the update at the view side, (b) properties of the view construction, and (c) types of duplication appearing in the view. These features are represented in the Annotated Schema Graph. This is further utilized by our Schema-driven Translatability Reasoning algorithm (STAR) to classify a given update into one of the three above update categories. The correctness of the algorithm is proven using our clean extended-source theory. This technique represents a practical approach that can be applied by any existing view update system in industry and academia for analyzing the translatability of a given update statement before translation of it is attempted. To illustrate the working algorithm, we provide a concrete case study on the translatability of XML view updates
A MODEL FOR PEFORMANCE EVALUATION OF INTERACTIVE SYSTEMS
We describe a quantitative model for the performance evaluation of interactive computer
systems. The approach involves the development of an "interaction graph" or state
transition diagram to describe the user-machine interaction. Given numerical data on
transition times and probabilities, the model can be used to perform sensitivity analyses of
changes in system parameters and user behavior. To illustrate the model, we use empirical
data from field and laboratory experiments designed to compare a prototype natural
language query system with a formal (relational) query system. The general approach is
applicable in a broad range of other contexts including bibliographic retrieval and the
analysis of web-log data. It should be of interest to both system developers and potential
users of these systems.Information Systems Working Papers Serie
FPGA-based Query Acceleration for Non-relational Databases
Database management systems are an integral part of today’s everyday life. Trends like smart applications, the internet of things, and business and social networks require applications to deal efficiently with data in various data models close to the underlying domain. Therefore, non-relational database systems provide a wide variety of database models, like graphs and documents. However, current non-relational database systems face performance challenges due to the end of Dennard scaling and therefore performance scaling of CPUs. In the meanwhile, FPGAs have gained traction as accelerators for data management.
Our goal is to tackle the performance challenges of non-relational database
systems with FPGA acceleration and, at the same time, address design challenges of FPGA acceleration itself. Therefore, we split this thesis up into two main lines of work: graph processing and flexible data processing.
Because of the lacking benchmark practices for graph processing accelerators, we propose GraphSim. GraphSim is able to reproduce runtimes of these accelerators based on a memory access model of the approach. Through this simulation environment, we extract three performance-critical accelerator properties: asynchronous graph processing, compressed graph data structure, and multi-channel memory. Since these accelerator properties have not been combined in one system, we propose GraphScale. GraphScale is the first scalable, asynchronous graph processing accelerator working on a compressed graph and outperforms all state-of-the-art graph processing accelerators.
Focusing on accelerator flexibility, we propose PipeJSON as the first FPGA-based JSON parser for arbitrary JSON documents. PipeJSON is able to achieve
parsing at line-speed, outperforming the fastest, vectorized parsers for CPUs. Lastly, we propose the subgraph query processing accelerator GraphMatch which outperforms state-of-the-art CPU systems for subgraph query processing and is able to flexibly switch queries during runtime in a matter of clock cycles
Endings and beginnings: a thematic analysis of client and psychotherapist experience of an imposed change of psychotherapist
This study explores a phenomenon that has over the years attracted little systematic investigation and has never been addressed from the dual perspectives of client and therapist in a working therapeutic dyad. This original contribution provides knowledge on how an imposed change of therapist can impact individuals, relational dynamics and therapeutic outcome. The research took place in a substance misuse agency with four therapeutic dyads composed of client and replacement therapist. A thematic analysis of semi-structured interviews was used to capture individual client and therapist experiences of the phenomenon, then paired client and therapist interviews were analysed for dyad material. The client experience of the imposed ending and change to a different therapist involved the activation of the attachment system and the possibility of change in substance use or the fear of relapse. For clients there was an accumulation of losses linked to the relationship with the departing therapist, the work done in that relationship and the hope of an outcome from that work. The experience of the therapist working with an imposed change client is documented in their approach to working as the replacement therapist and a presence in the relationship of the first therapist. In the four dyad accounts the findings from individuals are seen to shape the development and trajectory of this second relationship and therapy outcome. From the findings, the importance of acknowledging and working with this phenomenon is discussed and recommendations are made for both practitioners and organisations to benefit client, therapist and organisation. The data not only fills a gap in knowledge but also opens the way for further investigation into the relationship that ended due to the therapist’s departure and the phenomenon’s impact in different clinical settings
Final report implementation of relational management
Construction teams and construction organisations have their own distinctive cultures. There also exists an infrastructure, both social and contractual, which ensures that these projects within which the teams operate are completed successfully. It is these issues which this research has addressed. The project was instigated by Queensland Department of Main Roads, Public Works and John Holland Group in order to address how they might better implement relationship management (RM) on their construction projects. The project was devised initially in order to facilitate a change in culture which would allow the project to be run in a relational manner and would lead to effective performance in terms of the KPIs that the organisations set for themselves, described as business better than usual. This report describes the project, its outcomes and deliverable and indicates the changes that were made to the project during the research process. Hence, the initial premise of the project and the problem to investigate was the implementation of relational contracting: • throughout a range of projects; • with a focus on client body staff. The additions that were made to the project, and documented in the variations to the project, included two major additional areas of study: • client management and stakeholder management; • a live case study of an alliancing project. The context within which the research was undertaken is important. The research was driven by main roads with their desire to improve their operations by focusing on the relationship between the major project participants (however, stakeholder and client organisation management became an obvious issue as the research progressed, hence the variations). The context was initially focussed on main roads, public works and John Holland group organisations but it became clear very quickly that this was in fact an industry-wide issue and not an issue specific solely to the project participants. Hence, the context within which this research took place can be described as below:
The deliverables from the project are a toolkit for determining RM needs in an organisation, a monograph describing the practical implementation of RM and the outline for a RM CPD and Masters cours
TLAD 2010 Proceedings:8th international workshop on teaching, learning and assesment of databases (TLAD)
This is the eighth in the series of highly successful international workshops on the Teaching, Learning and Assessment of Databases (TLAD 2010), which once again is held as a workshop of BNCOD 2010 - the 27th International Information Systems Conference. TLAD 2010 is held on the 28th June at the beautiful Dudhope Castle at the Abertay University, just before BNCOD, and hopes to be just as successful as its predecessors.The teaching of databases is central to all Computing Science, Software Engineering, Information Systems and Information Technology courses, and this year, the workshop aims to continue the tradition of bringing together both database teachers and researchers, in order to share good learning, teaching and assessment practice and experience, and further the growing community amongst database academics. As well as attracting academics from the UK community, the workshop has also been successful in attracting academics from the wider international community, through serving on the programme committee, and attending and presenting papers.This year, the workshop includes an invited talk given by Richard Cooper (of the University of Glasgow) who will present a discussion and some results from the Database Disciplinary Commons which was held in the UK over the academic year. Due to the healthy number of high quality submissions this year, the workshop will also present seven peer reviewed papers, and six refereed poster papers. Of the seven presented papers, three will be presented as full papers and four as short papers. These papers and posters cover a number of themes, including: approaches to teaching databases, e.g. group centered and problem based learning; use of novel case studies, e.g. forensics and XML data; techniques and approaches for improving teaching and student learning processes; assessment techniques, e.g. peer review; methods for improving students abilities to develop database queries and develop E-R diagrams; and e-learning platforms for supporting teaching and learning
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