Search results for "UML"
showing 10 items of 407 documents
A Notation for Modeling Jason-Like BDI Agents
2012
The design and development of a large Multi Agent System (MAS) is a complex and difficult activity where a proper modeling notation may offer a significant contribution to the formulation of the best solution. The support provided by a specific CASE tool can significantly contribute to make the chosen approach technically valid and it is also a fundamental element of a feasible development strategy. The present work reports a UML profile and the related graphical notation for describing a MAS based on the Jason meta model. Moreover a specific CASE tool has been developed for supporting MASs design and automatic code generation. The proposed notation is shown in details using a classical exa…
Transformations Between UML Diagrams
2003
The Unified Modeling Language (UML) provides various diagram types for describing a system from different perspectives or abstraction levels. Hence, UML diagrams describing the same system are dependent and strongly overlapping. In this paper we study how this can be exploited for specifying transformation operations between different diagram types. We discuss various general approaches and viewpoints of model transformations in UML. The source and target diagram types for useful transformations are analyzed and given categories. The potentially most interesting transformation operations are discussed in detail. It is concluded that the transformation operations can automate a substantial p…
Reduction of UML Class Diagrams
2002
One and the same “real world” can be modeled by different UML class diagrams, which in such a case can be considered “intuitively equivalent”. A formalization of this “intuitive equivalence” of class diagrams is proposed. An algorithm is constructed that for two class diagrams determines if they model the same “real world”. This algorithm can be used in CASE tools to compare alternative models of a system, and for diagram “compression” to facilitate understanding of large diagrams.
Peptide classification using optimal and information theoretic syntactic modeling
2010
Accepted version of an article published in the journal: Pattern Recognition. Published version available on Sciverse: http://dx.doi.org/10.1016/j.patcog.2010.05.022 We consider the problem of classifying peptides using the information residing in their syntactic representations. This problem, which has been studied for more than a decade, has typically been investigated using distance-based metrics that involve the edit operations required in the peptide comparisons. In this paper, we shall demonstrate that the Optimal and Information Theoretic (OIT) model of Oommen and Kashyap [22] applicable for syntactic pattern recognition can be used to tackle peptide classification problem. We advoca…
Imaging of Vestibular Schwannoma With Prevalent Cystic Component
2009
Not available
Upju sezonālo maksimālo caurplūdumu ilgtermiņa izvērtējums Rietumu un Viduslatvijas hidroloģiskajos reģionos
2020
Bakalaura darba ietvaros - veikt maksimālo caurplūduma upju sezonālo ilgtermiņa izvērtējumu Rietumu un Viduslatvijas reģionā no 1951. – 2015. gadam. Darbā analizēti 9 upju hidroloģisko novērojumu staciju ikdienas caurplūduma un nokrišņu dati. Katrai novērojuma stacijai veikts fizioģeogrāfisks apraksts, ko papildina upju baseinu kartes ar zemes lietojuma un zemes seguma veidiem, lai novērtētu noteces ietekmējošos faktorus. Literatūras apskata daļā ir izvērtēti upju maksimālās noteces veidošanās apstākļi un ietekmējošie faktori, raksturoti pētījumi par upju noteci un caurplūdumiem Baltijas valstu reģionā, kā arī pētījumi par nokrišņu ekstrēmiem saistībā ar upju maksimālajiem caurplūdumiem. Pē…
Classification of diabetes-related retinal diseases using a deep learning approach in optical coherence tomography
2019
Background and objectives: Spectral Domain Optical Coherence Tomography (SD-OCT) is a volumetric imaging technique that allows measuring patterns between layers such as small amounts of fluid. Since 2012, automatic medical image analysis performance has steadily increased through the use of deep learning models that automatically learn relevant features for specific tasks, instead of designing visual features manually. Nevertheless, providing insights and interpretation of the predictions made by the model is still a challenge. This paper describes a deep learning model able to detect medically interpretable information in relevant images from a volume to classify diabetes-related retinal d…
Efficient on-the-fly Web bot detection
2021
Abstract A large fraction of traffic on present-day Web servers is generated by bots — intelligent agents able to traverse the Web and execute various advanced tasks. Since bots’ activity may raise concerns about server security and performance, many studies have investigated traffic features discriminating bots from human visitors and developed methods for automated traffic classification. Very few previous works, however, aim at identifying bots on-the-fly, trying to classify active sessions as early as possible. This paper proposes a novel method for binary classification of streams of Web server requests in order to label each active session as “bot” or “human”. A machine learning appro…
Dynamic reliability indices for k-out-of-n multi-state system
2005
A multi-state system k-out-of-n is one of basic models in reliability analysis. In this system, k is the minimum number of n components that must work for the system to work and both the system and its components can have more than two states. A structure function declares relation between system and component states uniquely. New algorithm for reliability analysis of the k-out-of-n multi-state system is proposed in this paper. We use two tools for examine this system: (a) structure function for the system description; (b) direct partial logic derivatives for analysis this system. New algorithm for reliability analysis of the multi-state system k-out-of-n is allowed to calculate the probabi…
A mobile agent tool for resource discovery
2004
Publisher Summary This chapter discusses a mobile agent based tool for arranging communities whose members want to share computing resources. Such a tool enables community members to arrange their own parallel virtual machine, using resources available within the community. Mobile agents are used to search among available addresses inside the community, and are instructed to select the ones which correspond to the users' requirements. The agent is the key component of the system, because it takes care of the server availability test and of the decision on whether to include them into the virtual machine, according to the user's requirements. The database acts as an intermediary between the …