Audio coding based on Frequency Domain Linear Prediction (FDLP) uses autoregressive models to approximate Hilbert envelopes in frequency sub-bands. Although the basic technique achieves good coding efficiency, there is a need to improve the reconstructed signal quality for tonal signals with impulsive spectral content. For such signals, the quantization noise in the FDLP codec appears as freque...

The process of designing building automation networks is a very challenging task due to the inherent complexity. During the design process performance evaluation is essential for high reliability and cost efficiency. Therefore, no tool is available up to now, although in other fields of research sophisticated methods for analyzing the system performance exist. In this paper we introduce a metho...

Multiple-input multiple-output (MIMO) systems require simplified architectures that can maximize design parameters without sacrificing system performance. Such architectures may be used in a transmitter or a receiver. The most recent example with possible low cost architecture in the transmitter is spatial modulation (SM). In this study, we evaluate the SM and quasi-orthogonal space time block ...

Object recognition is still an impediment in the field of computer vision and multimedia retrieval. Defining an object model is a critical task. Shape information of an object play a critical role in the process of object recognition. Extraction of boundary information of an object from the multimedia data and classifying this information with associated objects is the primary step towards obje...

This paper considers proportional fairness amongst ACs in an EDCA WLAN for provision of distinct QoS requirements and priority parameters. A detailed theoretical analysis is provided to derive the optimal station attempt probability which leads to a proportional fair allocation of station throughputs. The desirable fairness can be achieved using a centralised adaptive control approach. This app...

The present study is an attempt toward evaluating the performance of portfolios and asset selectionusing cross-efficiency evaluation. Cross-efficiency evaluation is an effective way of ranking decisionmaking units (DMUs) in data envelopment analysis (DEA). Conventional DEA models assume nonnegativevalues for inputs and outputs. However, we know that unlike return and skewness, varianceis the on...

We consider the activity-based costing situation, in which for each of several comparable operational units, multiple cost drivers generate a single cost pool. Our study focuses on published data from a set of property tax collection offices, called rates departments, for the London metropolitan area. We define what may be called benchmark or most efficient costs per unit of driver. A principle...

In this paper we report on two methods we have developed to aid in the design of a Wearable Visual Robot — a body mounted robot for which the main sensor is a camera. Specifically, we have first refined the analysis of sensor placement through the computation of the field of view and body motion using a 3D model of the human form. Second we have improved the design of the robot’s morphology wit...

.The work presented in this document is focused on the improvement of the people detection task in visual analysis in video surveillance sequences. We have designed and implemented a people detection algorithm based on appearance and motion as discriminative information. Firstly, we have undertaken a study on the state of the art in people detection algorithms targeted to video surveillance sce...

Summaries of massive data sets support approximate query processing over the original data. A basic aggregate over a set of records is the weight of subpopulations specified as a predicate over records’ attributes. Bottom-k sketches are a powerful summarization format of weighted items that includes priority sampling [18] (pri) and the classic weighted sampling without replacement (ws). They ca...