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A Bayesian network is a graph-based model of joint multivariate probability distributions that captures properties of conditional independence between variables. Such models are an effective way to characterize probabilistic and causal relations among variables providing a clear methodology for learning from observations. In recent years their use to recover transcriptional regulatory networks from...
This paper proposes a method of attribute extraction from a Chinese Machine Readable Dictionary (MRD) utilizing hyponyms. The method extracts attributes such as density, reserve and ductility for the class metal from definitions in MRD, not using any instantiated objects. Compared with previous works, our method takes advantage of hyponymy semantic relation to extend classes conceptually and acquire...
In this paper we provide an automatic unsupervised recognition technique for Web community users, using a special nonlinear metric. First we propose a local trust metric to compute the ratings associated by an user to another user, in an explicit or implicit way. Our purpose is to help the users of the system to interact easily with users and resources they are interested in. User interest is computed...
A relatively new technique for measuring the 3D structure of visual scenes is provided by time of flight (TOF) cameras. Reflections of modulated light waves are recorded by a parallel pixel array structure. The time series at each pixel of the resulting image stream is used to estimate travelling time and thus range information. This measuring technique results in pixel dependent noise levels with...
This paper presented the particle swarm optimization approach for nonlinear system identification and for reducing the oscillatory movement of the nonlinear systems to periodic orbits. We analyzes the non-linear dynamics in an oscillator mechanical and demonstrated that this model has a chaotic behavior. Chaos control problems consist of attempts to stabilize a chaotic system to an equilibrium point,...
The representation of data through a search engine in e-commerce systems using reasoning based on cases can be considered as a complex process due to lots of information which may also grow exponentially, according to research performed by the user for purchasing equipment pertaining to a hospital. The import information collected by the system of reasoning based on cases may influence the time to...
In this paper a new classification algorithm of Web documents into a set of categories, is proposed. The proposed technique is based on analyzing relationships between different documents and the terms they contain by producing a set of rules relating the category of the document, its terms and their frequencies. Each document is represented by a graph that correlates its most frequent combined words...
In this paper, we describe a new clustering-based classification technique (eVQ-Class), which is able to adapt old clusters and to evolve new ones on-line with new incoming data samples. It extends the conventional learning vector quantization approach, which is a kind of supervised version of original vector quantization, in mainly three points: 1.) it is able toevolve new clusters on demand by comparing...
Efficient management of large crowded events is always a challenge. Successful management of such events largely depends on the use of technologies. There are many business cases where the use of latest technology can vastly improve their management. In recent times, many types of identification and sensor devices, including RFID tags, have been developed. Such technologies, combined with appropriate...
This work starts from the analysis of the traditional decomposed quality model and the relation quality model and discovers the deficiency of them presented the software quality. Then based on the measurement theory a 2-D software quality model is proposed, which synthesizes the traditional decomposed quality model and the relation quality model to comprehensive present software quality. In particular,...
The main objective of risk management is to reduce factors that will give negative influence to project. However, it is difficult to specify the risk of actualizing beforehand. In this paper, we first analyze real cases of software development projects that adopted risk management but failed, and identify the root causes. Next, we propose a permanent monitoring agency that predicts future risks generation...
In this paper we propose a new method of using motion estimation for the purpose of offline recognition of machine-print Hindi digits. The recognition process can be summarized as follows: an image of each of the ten numerals (numbers 0 to 9) is stored, these are called reference images. The differences between the image of the numeral to be recognized and the reference image are considered motions...
Computational scheme for comparison, color analysis and segmentation of images is proposed in this paper. First of all, two growing unsupervised learning algorithms are introduced. They create the so called compressed information model (CIM) of the image that replaces the original ldquoraw datardquo (the RGB pixels) with a smaller number of neurons. Then two main features are extracted from the CIM,...
Through the analysis of Rayleigh model, an explanation model on the quality effect of peer reviews is constructed. The review activities are evaluated by the defect removal rate at each phase. We made Hypotheses on how these measurements are related to the product quality. These Hypotheses are verified through regression analysis of actual project data and concrete calculation formulae are obtained...
Complex and long-lived software need to be upgraded at runtime. Replacing a software component with a newer version is the basic evolution operation that has to be supported. It is error-prone as it is difficult to guarantee the preservation of functionalities and quality. Few existing work on ADLs fully support a component replacement process from its description to its test and validation. The main...
Although software engineering has been quite successful in creating various development models, it has failed in defining later lifecycle process models. One of such process models concerns retirement. In this paper, we elicit a retirement process model and compare it to the standard models. Our goal is to evaluate current retirement process standards and provide feedback for their extension.
Improving the efficiency of business processes through automation is limited by the various manual and actor specific tasks. Even if no precise specifications of individual tasks are available, it is necessary to support the course of business processes appropriately. As an essential part of all support systems, a flexible escalation management component must be able to inform the user about imminent...
Cooperation is the process of synchronization and exchanging useful knowledge between agents in multiagent systems. Since cooperation associates agents into a collaborative team to reach the overall goals of the systems, it is a crucial requirement for creating intelligent multiagent systems. This paper presents an approach for building complex cooperation protocols from simple primitives called collective...
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