814,359 research outputs found
Language switching in a digital library; does it make a difference if the default language is set to Maori?
In this paper we investigate the effect of default interface language on usage patterns of the Niupepa digital library (a collection of historic Māori language newspapers), by switching the default interface language between Māori and English in alternate weeks.
Transaction analysis of the Niupepa collection logs indicates that changing default language affects the length of user
sessions and the number of actions within sessions, and that the English language interface was used most frequently
Language Preference in a Bi-language Digital Library
This paper examines user choice of interface language in a bi-language digital library(English and Maori, the language of the indigenous people of New Zealand)/ the majority of collection documents are in Maori, and the interface is available in both Maori and English. Log analysis shows three categories of preference for interface language: primarily English, primarily Maori and bilingual(switching back and forth between the two)
Flexible DCP interface
The author has identified the following significant results. A user of an ERTS data collection system must supply the sensors and signal conditioning interface. The electronic interface must be compatible with the NASA-furnished data collection platform (DCP). A universal signal conditioning system for use with a wide range of environmental sensors is described. The interface is environmentally and electronically compatible with the DCP and has operated satisfactorily for a complete winter wheat growing season in Kansas
Slicing and dicing the information space using local contexts
In recent years there has been growing interest in faceted grouping of documents for Interactive Information Retrieval (IIR). It is suggested that faceted grouping can offer a flexible way of browsing a collection compared to clustering. However, the success of faceted grouping seems to rely on sufficient knowledge of collection structure. In this paper we propose an approach based on the local contexts of query terms, which is inspired by the interaction of faceted search and browsing. The use of local contexts is appealing since it requires less knowledge of the collection than existing approaches. A task-based user study was carried out to investigate the effectiveness of our interface in varied complexity. The results suggest that the local contexts can be exploited as the source of search result browsing in IIR, and that our interface appears to facilitate different aspects of search process over the task complexity. The implication of the evaluation methodology using high complexity tasks is also discussed
Interface groups and financial transfer architectures
Analytic execution architectures have been proposed by the same authors as a
means to conceptualize the cooperation between heterogeneous collectives of
components such as programs, threads, states and services. Interface groups
have been proposed as a means to formalize interface information concerning
analytic execution architectures. These concepts are adapted to organization
architectures with a focus on financial transfers. Interface groups (and
monoids) now provide a technique to combine interface elements into interfaces
with the flexibility to distinguish between directions of flow dependent on
entity naming.
The main principle exploiting interface groups is that when composing a
closed system of a collection of interacting components, the sum of their
interfaces must vanish in the interface group modulo reflection. This certainly
matters for financial transfer interfaces.
As an example of this, we specify an interface group and within it some
specific interfaces concerning the financial transfer architecture for a part
of our local academic organization.
Financial transfer interface groups arise as a special case of more general
service architecture interfaces.Comment: 22 page
A Comparative Study of the Application of Different Learning Techniques to Natural Language Interfaces
In this paper we present first results from a comparative study. Its aim is
to test the feasibility of different inductive learning techniques to perform
the automatic acquisition of linguistic knowledge within a natural language
database interface. In our interface architecture the machine learning module
replaces an elaborate semantic analysis component. The learning module learns
the correct mapping of a user's input to the corresponding database command
based on a collection of past input data. We use an existing interface to a
production planning and control system as evaluation and compare the results
achieved by different instance-based and model-based learning algorithms.Comment: 10 pages, to appear CoNLL9
DCU-TCD@LogCLEF 2010: re-ranking document collections and query performance estimation
This paper describes the collaborative participation of Dublin City University and Trinity College Dublin in LogCLEF 2010. Two sets of experiments were conducted. First, different aspects of the TEL query logs were analysed after extracting user sessions of consecutive queries on a topic. The relation between the queries and their length (number of terms) and position (first query or further reformulations) was examined in a session with respect to query performance estimators such as query
scope, IDF-based measures, simplified query clarity score, and average inverse document collection frequency. Results of this analysis suggest that only some estimator values show a correlation with query length or position in the TEL logs (e.g. similarity score between collection and query). Second, the relation between three attributes was investigated: the user's country (detected from IP address), the query language, and the interface language. The investigation aimed to explore the influence of the three attributes on the user's collection selection. Moreover, the investigation involved assigning different weights to the three attributes in a scoring function that was used to re-rank the collections displayed to the user according to the language and country. The results of the
collection re-ranking show a significant improvement in Mean Average Precision (MAP) over the original collection ranking of TEL. The results also indicate that the query language and interface language have more in
uence than the user's country on the collections selected by the users
A new lattice Boltzmann model for interface reactions between immiscible fluids
In this paper, we describe a lattice Boltzmann model to simulate chemical reactions taking place at the interface between two immiscible fluids. The phase-field approach is used to identify the interface and its orientation, the concentration of reactant at the interface is then calculated iteratively to impose the correct reactive flux condition. The main advantages of the model is that interfaces are considered part of the bulk dynamics with the corrective reactive flux introduced as a source/sink term in the collision step, and, as a consequence, the model’s implementation and performance is independent of the interface geometry and orientation. Results obtained with the proposed model are compared to analytical solution for three different benchmark tests (stationary flat boundary, moving flat boundary and dissolving droplet). We find an excellent agreement between analytical and numerical solutions in all cases. Finally, we present a simulation coupling the Shan Chen multiphase model and the interface reactive model to simulate the dissolution of a collection of immiscible droplets with different sizes rising by buoyancy in a stagnant fluid
Partitioning a macroscopic system into independent subsystems
We discuss the problem of partitioning a macroscopic system into a collection
of independent subsystems. The partitioning of a system into replica-like
subsystems is nowadays a subject of major interest in several field of
theoretical and applied physics, and the thermodynamic approach currently
favoured by practitioners is based on a phenomenological definition of an
interface energy associated with the partition, due to a lack of easily
computable expressions for a microscopic (i.e.~particle-based) interface
energy. In this article, we outline a general approach to derive sharp and
computable bounds for the interface free energy in terms of microscopic
statistical quantities. We discuss potential applications in nanothermodynamics
and outline possible future directions.Comment: This is an author-created, un-copyedited version of an article
accepted for publication in JSTA
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