* Received 13 May 1975; revised 6 October 1975. The original version of this paper was presented at the 6th IFAC Congress which was held in Boston]Cambridge, MA, U.S.A., during August 1975. The published proceedings of this IFAC meeting may be ordered from the ISA (Instrument Society of America), 400 Stanwix Street, Pittsburgh, PA 15222, U.S.A. It was recommended for publication in revised form...

The problem of identifying Distributed Denial of Service (DDoS) is one of the hardest threats in the internet security. It is important to protect the resource and trace from the Denial of Service (DoS) attack, but it is difficult to distinguish normal traffic and DoS attack traffic because the DoS generally hide their identities/origins. Especially the attackers often use incorrect or spoofed ...

Relevance is one of the most important concepts in information retrieval. This paper discusses various approaches for relevance calculation available in literature. In Information Retrieval, relevance is how well a retrieved document or set of documents meets the information need. The paper summarizes, what relevance is and a survey of different methods of calculating relevance. Our goal is to ...

A good feature representation is central to achieving high performance in any machine learning task. However manually defining a good feature set is often not feasible. Feature construction involves transforming a given set of input features to generate a new set of more powerful features which can then used for prediction. Several feature construction methods have been developed. In this paper...

Pattern Recognition defined as a classification of input data via extraction important features from a lot of noisy data. The identification or interpretation of the pattern in an image can be described effectively with the help of Pattern Recognition (PR). It aims to extract information about the image to classify its contents. Inputs are in the form of digitized binary valued 2D images or tex...

This paper reviews almost four decades of contributions on the subject of supervised regionalization methods. These methods aggregate a set of areas into a predefined number of spatially contiguous regions while optimizing certain aggregation criteria. The authors present a taxonomic scheme that classifies a wide range of regionalization methods into eight groups, based on the strategy applied ...

This paper aims to present a review of recent as well as classic image registration methods. Image registration is the process of overlaying images (two or more) of the same scene taken at different times, from different viewpoints, and/or by different sensors. The registration geometrically align two images (the reference and sensed images). The reviewed approaches are classified according to ...

In this paper, we present an overview of factors affecting the performance of the DHT-algorithms and give examples of how these factors have been measured from the DHT algorithms. We analyse the strengths and weaknesses of evaluation methods that are based on simulation, and make observations on the growing importance of globally distributed testbeds such as PlanetLab. We conclude that the best...

background: there are no general strategies or tools to evaluate daily lesson plans; however, assessments conducted using traditional methods usually include course plans. this study aimed to evaluate the strengths and weaknesses of online survey software in collecting data on education in medical fields and the application of such softwares to evaluate students' views and modification of ...