When Disability Rhymes with Negative Bias: A Response to Verpaelst

Commentaire / Commentary

Modeling of ALFA Programs Using PVS Theorem Prover

In Safety critical software failure can have a high price. Such software should be free of errors before it is put into operation. Application of formal methods in the Software Development Life Cycle helps to ensure that the software for safety critical missions are ultra reliable. PVS theorem prover, a formal method tool, can be used for the formal verification of software in ADA Language for Flight Software Application (ALFA.). This paper describes the modeling of ALFA programs for PVS theorem prover. An ALFA2PVS translator is developed which automatically converts the software in ALFA to PVS specification. By this approach the software can be verified formally with respect to underflow/overflow errors and divide by zero conditions without the actual execution of the code.

Modeling of ALFA Programs Using PVS Theorem Prover

In Safety critical software failure can have a high price. Such software should be free of errors before it is put into operation. Application of formal methods in the Software Development Life Cycle helps to ensure that the software for safety critical missions are ultra reliable. PVS theorem prover, a formal method tool, can be used for the formal verification of software in ADA Language for Flight Software Application (ALFA.). This paper describes the modeling of ALFA programs for PVS theorem prover. An ALFA2PVS translator is developed which automatically converts the software in ALFA to PVS specification. By this approach the software can be verified formally with respect to underflow/overflow errors and divide by zero conditions without the actual execution of the code

Learning disability prediction tool using ANN and ANFIS

Learning Disability (LD) is a neurological condition that affects a child’s brain and impairs his ability to carry out one or many specific tasks. LD affects about 15 % of children enrolled in schools. The prediction of LD is a vital and intricate job. The aim of this paper is to design an effective and powerful tool, using the two intelligent methods viz., Artificial Neural Network and Adaptive Neuro-Fuzzy Inference System, for measuring the percentage of LD that affected in school-age children. In this study, we are proposing some soft computing methods in data preprocessing for improving the accuracy of the tool as well as the classifier. The data preprocessing is performed through Principal Component Analysis for attribute reduction and closest fit algorithm is used for imputing missing values. The main idea in developing the LD prediction tool is not only to predict the LD present in children but also to measure its percentage along with its class like low or minor or major. The system is implemented in Mathworks Software MatLab 7.10. The results obtained from this study have illustrated that the designed prediction system or tool is capable of measuring the LD effectively

A Compilation Strategy for Numerical Programs Based on Partial Evaluation

This work demonstrates how partial evaluation can be put to practical use in the domain of high-performance numerical computation. I have developed a technique for performing partial evaluation by using placeholders to propagate intermediate results. For an important class of numerical programs, a compiler based on this technique improves performance by an order of magnitude over conventional compilation techniques. I show that by eliminating inherently sequential data-structure references, partial evaluation exposes the low-level parallelism inherent in a computation. I have implemented several parallel scheduling and analysis programs that study the tradeoffs involved in the design of an architecture that can effectively utilize this parallelism. I present these results using the 9- body gravitational attraction problem as an example.

Memory Usage Inference for Object-Oriented Programs

We present a type-based approach to statically derive symbolic closed-form formulae that characterize the bounds of heap memory usages of programs written in object-oriented languages. Given a program with size and alias annotations, our inference system will compute the amount of memory required by the methods to execute successfully as well as the amount of memory released when methods return. The obtained analysis results are useful for networked devices with limited computational resources as well as embedded software.

On-the-Fly Maintenance of Series-Parallel Relationships in Fork-Join Multithreaded Programs

A key capability of data-race detectors is to determine whether one thread executes logically in parallel with another or whether the threads must operate in series. This paper provides two algorithms, one serial and one parallel, to maintain series-parallel (SP) relationships "on the fly" for fork-join multithreaded programs. The serial SP-order algorithm runs in O(1) amortized time per operation. In contrast, the previously best algorithm requires a time per operation that is proportional to Tarjan’s functional inverse of Ackermann’s function. SP-order employs an order-maintenance data structure that allows us to implement a more efficient "English-Hebrew" labeling scheme than was used in earlier race detectors, which immediately yields an improved determinacy-race detector. In particular, any fork-join program running in T₁ time on a single processor can be checked on the fly for determinacy races in O(T₁) time. Corresponding improved bounds can also be obtained for more sophisticated data-race detectors, for example, those that use locks. By combining SP-order with Feng and Leiserson’s serial SP-bags algorithm, we obtain a parallel SP-maintenance algorithm, called SP-hybrid. Suppose that a fork-join program has n threads, T₁ work, and a critical-path length of T[subscript ∞]. When executed on P processors, we prove that SP-hybrid runs in O((T₁/P + PT[subscript ∞]) lg n) expected time. To understand this bound, consider that the original program obtains linear speed-up over a 1-processor execution when P = O(T₁/T[subscript ∞]). In contrast, SP-hybrid obtains linear speed-up when P = O(√T₁/T[subscript ∞]), but the work is increased by a factor of O(lg n).

Implementation of training programs in self-regulated learning strategies in Moodle format : Results of a experience in higher education

Resumen tomado de la publicaci??n

The ISSA Pedagogical Standards: a tool to influence quality in early childhood programs

The ISSA Pedagogical Standards were first published in 2001 as a network-developed tool that defined quality in teaching practices and the classroom environment and captured the changes that had occurred in the region since 1994 when the Step by Step Program, an initiative to promote democratic principles in early childhood development and education, was launched. The Program was built on belief that each child has the right to receive maximum support for the development of his or her full potential, and this work should be done in partnership and close cooperation with families, communities and professionals

Disability as a determinant of access to health care services in Colombia

The relationship between disability and poverty has been described in different contexts. Nevertheless, the basic characteristics of this relationship have not yet been fully established. The social exclusion and discrimination against people with disabilities increase the risk of poverty and reduce the access to basic opportunities such as health and education. This study examines the impact of a health limitation and poverty in the access to health care services in Colombia. Data from the Colombian National Health Survey (2007) was used in the analysis. Variables related with health condition and socio economic characteristics were first generated. Then interactions between health limitations and the lower levels of the asset index were created. This variable gave information related to the relationship between disability and poverty. A probabilistic model was estimated to examine the impact of a health condition and the relation between poverty and disability on the access to health care. The results suggest that living with a physical limitation increases by 10% the probability of access to health care services in Colombia. However, people with a disability and in the lowest quartile of the asset index have a 5% less probability of access to health care services. We conclude that people who live with a physical, mental or sensorial limitation have a higher probability of access to health care services. However, poor and disabled people have a lower probability in access, which increases the risk of having a severe disease and become chronically poor.

Abstraction: From Transistors to Computers and from Bits to Programs

Takes the Tanenbaum (Structured Computer Organisation) approach to show how application of successive levels of abstraction allow us to understand how computers are made from transitors and how they are programmed.

INFO2009 Disability and Legislation Guest Lecture by EA Draffan

Slides from guest lecture, provides an overview of current UK legislation, explores perceptions and attitudes and how legislation affects the role of the IT professional.

COMP1205 Disability and legislation

Slides from expert lecturer, provides an overview of current UK legislation, explores perceptions and attitudes and how legislation affects the role of the IT professional. Includes links to additional material.

Vignettes and self-reported work disability in the United States: Correction of report heterogeneity

Subjective measures of health tend to suffer from bias given by reporting heterogeneity. however, some methodologies are used to correct the bias in order to compare self-assessed health for respondents with different sociodemographic characteristics. One of the methods to correct this is the hierarchical ordered probit (hopit), which includes rates of vignettes -hypothetical individuals with a fixed health state- and where two assumptions have to be fulfilled, vignette equivalence and response consistency. this methodology is used for the self-reported work disability for a sample of the united states for 2011. The results show that even though sociodemographic variables influence rating scales, adjusting for this does not change their effect on work disability, which is only influenced by income. the inclusion of variables related with ethnicity or place of birth does not influence the true work disability. however, when only one of them is excluded, it becomes significant and affects the true level of work disability as well as income.