Linear regression techniques for state-space models with application to biomedical/biochemical example

In this paper a novel approach to estimate parameters in an LTI continuous-time statespace model is proposed. Essentially, the approach is based on a so-called pqR-decomposition of the numerator and denominator polynomials of the system’s transfer function. This approach allows the physical knowledge of the system to be preserved. As an illustrative example, a biomedical/biochemical process with two compartments in parallel and with first-order reaction is used.First, the process is approximated by a discrete-time state-space model. Next, after deriving the corresponding discrete-time transfer function, the rational transfer function is decomposed into pqR form and then reparametrized to obtain a set of linear regressive equations. Subsequently, the unknown linear regression parameters, which are a polynomial function of the original physical parameters, are uniquely estimated from real data of the biomedical/biochemical process using the ordinary least-squares method. This approach is favourable when there is a need to preserve physical interpretations in the parameters. Furthermore, by taking into account the original model structure, a smaller number of parameters than in the case of direct transfer function estimation may result and the identifiability property naturally appears

Incorporating capacitative constraint to the preference-based conference scheduling via domain transformation approach

No AbstractKeywords: conference scheduling; domain transformation approach; capacity optimizatio

Trust aware recommender system with distrust in different views of trusted users

No AbstractKeywords: recommender system; collaborative filtering; trust aware; distrus

A Multidimensional Decision Making Model for Information Technology Investments in Universities

Justifying an Information Technology (IT) investment solely on the financial gain or lost has been proven to be difficult due to its intangible benefits. This study examines how non-financial measures can be incorporated to improve the decision on IT investment, particularly the Learning Management System (LMS) in universities. Design Research (DR) was adopted to develop a LMS decision making model which consists of six multidimensional perspectives which are both financial and non-financial measures. The six multidimensional perspectives were derived from the integration of two models; the IT Balanced Scorecard model and Murphy’s “five pillars of benefit realization” model. The model is refined through a series of evaluation by practitioners in Malaysian universities. The final model is then translated into a decision support tool which is tested in the field. The findings show that the use of non-financial measures did improve the decision on choice of LMS. Specifically, IT managers in universities believe that the model helped them to make a well informed decision and provide support for a multi-dimensional model for evaluation of IT investment

Sustainable waste management via incineration system: an Islamic outlook for conservation of the environment

This paper would firstly examine solid waste management currently experienced in Malaysia with special concentration given to waste incineration. Its function and benefits entailed from this system shall then be identified. This paper attempts to emphasize this notion within the Islamic perspective, stressing on the needs to conserve the environment. This study adopts a qualitative approach where the conceptual authoritative literature in the related field is utilized based on content analysis. The related principles of Islamic jurisprudencecarefully examined along with the Quranic verses depicting on this issue This study further submits that incinerating waste could mitigate environmental impact that might otherwise arise from waste. Finally, it further concludes that Islam provides a concrete model of environmental ethics which is based on divine revelation that needs to be observed.Keywords: sustainable waste management; incineration system; environment conservation;Islamic jurisprudence principles

High speed numerical integration algorithm using FPGA

Conventionally, numerical integration  algorithm is executed in software and time consuming to accomplish. Field Programmable Gate Arrays (FPGAs) can be used as a much faster, very efficient and reliable alternative to implement the numerical integration algorithm. This paper proposed a hardware implementation of four numerical integration algorithms using FPGA. The computation is based on Left Riemann Sum (LRS), Right Riemann Sum (RRS), Middle Riemann Sum (MRS) and Trapezoidal Sum (TS) algorithms. The system performance is evaluated based on target chip Altera Cyclone IV FPGA in the metrics of resources utilization, clock latency, execution time, power consumption and computational error compared to the other algorithms. The result also shows execution time of the FPGA are much faster compared to the software implementation.Keywords: numerical integration algorithm; FPGA; Riemann sum; trapezoidal su