428 research outputs found
“Once again text & parenthesis – sound synthesis with Foo”
No full textFoo is a sound synthesis tool based on the Scheme language, a clean and powerful Lisp dialect. Foo is used for high-quality non-realtime sound synthesis and-processing. By scripting Foo like a shell it is also a neat tool for implementing common tasks like soundfile conversion, resampling, multichannel extraction etc. Note: According to the talk at the Linux Audio Conference, this text will mainly cover the Foo kernel layer. This is because the main author of this text, Martin Rumori, is mostly involved with porting and developing the Foo kernel. Quotation from [5]: Whereas the Foo kernel layer implements the generic sound synthesis and processing modules as well as a patch description and execution language, the Foo control layer offers a symbolic interface to the kernel and implements musically salient control abstractions. Find out more about the Foo control layer in [4] and [5] and the Foo control layer’s source code at [1].
Dance with Minutae : The Paintings of Dulcie Foo Fat
No full textThe poetic vision in Foo Fat's "groundscapes", still-lifes and figurative work is contrasted to the politicized approach, cynicism and aggression the author identifies in much of American New Realist Art. Biographical notes. 7 bibl. ref
Utilization of Occupational Therapy by Older Healthy Adults at Risk for Falls Is Low
No full textAbstract
Date Presented 3/31/2017
A retrospective content analysis on physicians’ dictations for 50 healthy older adults visiting an ambulatory orthopedic spine clinic revealed that physicians may not be screening for executive functioning impairment or referring to occupational therapy for fall prevention.
Primary Author and Speaker: Stephanie Foo
Additional Authors and Speakers: M. J. Mulcahey, Catherine Piersol</jats:p
Bibliometric cartography of information retrieval research by using co-word analysis
No full textThe aim of this study is to map the intellectual structure of the field of Information Retrieval (IR) during the period of 1987-1997. Co-word analysis was employed to reveal patterns and trends in the IR field by measuring the association strengths of terms representative of relevant publications or other texts produced in IR field. Data were collected from Science Citation Index (SCI) and Social Science Citation Index (SSCI) for the period of 1987-1997. In addition to the keywords added by the SCI and SSCI databases, other important keywords were extracted from titles and abstracts manually. These keywords were further standardized using vocabulary control tools. In order to trace the dynamic changes of the IR field, the whole 11-year period was further separated into two consecutive periods: 1987-1991 and 1992-1997. The results show that the IR field has some established research themes and it also changes rapidly to embrace new themes
Author Co-Citation Analysis (ACA): a powerful tool for representing implicit knowledge of scholar knowledge workers
No full textIn the last decade, knowledge has emerged as one of the most important and valuable organizational assets. Gradually this importance caused to emergence of new discipline entitled ―knowledge management‖. However one of the major challenges of knowledge management is conversion implicit or tacit knowledge to explicit knowledge. Thus Making knowledge visible so that it can be better accessed, discussed, valued or generally managed is a long-standing objective in knowledge management. Accordingly in this paper author co- citation analysis (ACA) will be proposed as an efficient technique of knowledge visualization in academia (Scholar knowledge workers)
Modelling and control design of river systems
No full text© 2011 Dr. Mathias Fui Lin FooFarming consumes a large amount of water usage and it is reported that large portion of this water is wasted through inefficient water distribution from river to farms. More efficient water distribution and preservation of environmental demands can be achieved through better control and decision support systems. In order to design better control and decision support systems, a river model is required. This model needs to be able to capture the relevant river dynamics and easy to be used for control design.
Traditionally, the Saint Venant equations have been used to model river systems. These equations are nonlinear hyperbolic partial differential equation (PDE) and are solved numerically using Preissmann scheme. The simulated Saint Venant equations are compared against operational data from the Broken River, and it is found that the Saint Venant equations are accurate in representing the river systems. Through further study, it is found that a single segmentation, i.e. treating the river as one long stretch with uniform geometry is sufficiently accurate for representation of the river for the purpose of control design. For the representation of meandering river, the Saint Venant equations are as accurate a two-dimensional flow model. The nonlinearities in the Saint Venant equations are also investigated. From the nonlinearity test, it is found that the Saint Venant equations are approximately linear within an operating region.
The Saint Venant equations are difficult to use for control design. An alternative model is therefore sought. Based on the operational data from the Broken River, simple time delay model (TDM) and integrator delay model (IDM) are proposed and estimated using system identification procedures. These models are found to be accurate in capturing the relevant dynamics of the river system. Furthermore, they are easy to use for control design. It is found that the time delay varies with the flow and hence controllers must be robust to variations in the time delay. A comparison between both TDM and IDM and the Saint Venant equations shows that they are as accurate as the Saint Venant equations within the operating range. The TDM and IDM are desirable as they are easier to be used for control design and decision support system.
The TDM and IDM are used to design Model Predictive Control (MPC) to control the river system. The choice of using MPC is motivated by the fact that MPC handles constraints very well. Despite that, tuning the weights in the MPC cost function is not trivial. The methods of reverse engineering are used to obtain these weights. Building on the results of existing method of reverse engineering used in the literatures, two additional methods are developed. In addition, the design of MPC from scratch is also considered. A realistic year long simulations using both MPCs on the Broken River is carried out. The MPCs are compared with the current manual operation and a decentralised control configuration. The results show that with MPCs, significant water savings, improvement of water delivery service to the irrigators and the environmental demands satisfaction are achieved
Apartment Security: A Note on Gated Access and Rental Rates
No full textThis study empirically examines the dynamics of the private industrial market in Singapore using a Vector Error Correction Model (VECM), which is derived based on the theoretical framework of an extended accelerator investment model. The GDP in manufacturing sector (LMGDP) and the composite leading indicator (LCLI) were two unrestricted long-run forcing variables included in the VECM for the industrial space demand, together with a pre-determined error correction mechanism (ecm) and other determinants. The results of the VECM estimation showed negative effects of the changes in the manufacturing GDP (LMGDP) at different lags on the private industrial demand (LPRD). Three possible reasons are hypothesized for the negative manufacturing outputs and industrial space demand relationship. First, firms substitute space for other factors of production when the demand for their output increases. Second, firms take up more space than that required for the existing scale of production and the excess space can be converted to meet the production needs for the short-term surge in the outputs. A possible switch of demand from the private to the public industrial markets during a period of strong output growth may be the third contributory factor. In the generalized forecast error variance decomposition analysis, one-standard deviation shocks to the manufacturing GDP (LMGDP) was found to account for an average 67.10% of the variances of LPRD. However, in shorter terms of less than 15-period, the industrial demand own shocks appeared to be the most important determinant of the variation in industrial real estate demand. It was also found that the most volatile impulse responses from the industrial demand variance.
A new approach to institutional domain analysis: Multilevel research fronts structure
No full textThe intellectual structure and main research fronts of the Faculty of Natural Sciences and
Museum of the National University of La Plata, Argentina is studied, based on the cocitation analysis of subject categories, journals and authors of their scientific publications collected in the Science Citation Index, CD-ROM version, for the period 1991–2000. The objective of this study is to test the utility of those techniques to explore and to visualize the intellectual structure and research fronts of multidisciplinary institutional domains. Special emphasis is laid on the identification of multilevel structures, by means of arrangements of subject categories cocitation analysis and journal cocitation analysis
Identification of Actinobacillus suis genes essential for the colonization of the upper respiratory tract of swine
No full textActinobacillus suis has emerged as an important opportunistic pathogen of high-health-status swine. A colonization challenge method was developed, and using PCR-based signature-tagged transposon mutagenesis, 13 genes belonging to 9 different functional classes were identified that were necessary for A. suis colonization of the upper respiratory tract of swine.Natural Sciences and Engineering Research Council of CanadaOntario Ministry of Agriculture and Foo
Integrating new assessment strategies into mathematics classrooms: an exploratory study in Singapore primary and secondary schools
No full textEducational researchers and practitioners have in recent years paid mounting attention to the importance of new assessment (or the so-called alternative assessment) strategies in Mathematics instruction to better reflect the new desired educational goals and shifted values in education. However, research is wanting in this area, particularly in Singapore's educational setting. This project seeks to investigate the influence of using new assessment strategies in Mathematics teaching and learning on students' achievements, in both the cognitive and affective domains, in our local school settings. A quasi-experimental study with about 15-20 teachers at primary and lower secondary levels will be carried out to assess the impact of using a variety of strategies (e.g., projects, journal writing, oral presentation, performance tasks, student self-assessment, classroom observation and interview, etc.) for three school semesters on students' learning. The project will also look into issues concerning how to use new assessment strategies effectively in classrooms in local schools. For this purpose, data will be collected from classroom observation, interviews with teachers and students, and questionnaire surveys. It is hoped that the project will provide research-based evidence and practical suggestions for promoting the effective use of alternative assessment in Singapore Mathematics classrooms. <br/
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