Dumitru Dan Burdescu

Dumitru Dan Burdescu
University of Craiova · Faculty of Automation, Computers and Electronics

About

188
Publications
16,710
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
548
Citations
Introduction
Skills and Expertise
Additional affiliations
September 1979 - present
University of Craiova
Position
  • Professor (Full)

Publications

Publications (188)
Chapter
The paper's main objective is to investigate a new design approach of a model predictive control strategy in closed-loop applied to minimal and nonminimal state-space realizations implemented in real-time on a MATLAB SIMULINK platform. The proposed control strategy's effectiveness is illustrated on a centrifugal chiller system, chosen as a case stu...
Chapter
This paper continues the presentation of new contributions to improve significantly the results disseminated in the recent paper presented for FedCSIS’ 2018 International Conference on single-input single-output autoregressive moving average with exogenous input models in terms of accuracy, simplicity and real time fast implementation. The improvem...
Chapter
Mobile learning is a very wide term which encompasses not only learning principles, but also in most cases a bunch of smart devices, from smart-phone to tablet or wearable devices. Any device that allows learning anywhere and anytime is a channel to information and channel that helps gain knowledge and apply it, and this is the main goal of mobile...
Conference Paper
The research objectives of the article consist in the identification of the strategic elements which contribute to the transformation of TrU into SmU and of the characteristics of e-learning Tesys platform which improve the performances of the students and professors. In our research we have started from the premises that smart technology is a stra...
Conference Paper
The aim of this paper is to present multimedia data for efficient graph-based method to detect visual objects from colour digital images and to extract their colour and geometric features, in order to determine later the contours of the visual objects and to perform syntactic analysis of the determined shapes. The presented method is a general-purp...
Article
This paper is an interesting extension of the results presented in detail in the recent conference paper concerning the real time implementation of a sliding mode observer state estimator integrated in a dc Servomotor angular speed control system. In the extended version of this paper we introduced another linear estimator as a possible alternative...
Article
Full-text available
The paper presents an original algorithm for automatic mapping of relational databases to MongoDB NoSQL databases. The algorithm uses the metadata stored in the relational system tables. It takes into consideration the concepts from Entity-Relationship (ER) model: Entity type represented by a relation in the Relational Model (RM), 1:1 and 1:M relat...
Conference Paper
The aim of this article is to present a method to detect visual objects from color digital images by volumetric segmentation. We will discuss algorithms for visual and multimedia computing. The problem of partitioning images into homogenous regions or semantic entities is a basic problem for identifying relevant objects. The presented method is a g...
Chapter
Full-text available
This article analyses the challenges of the e-learning platform Tesys for both students and teachers in a Smart environment. In our research, two theoretical approaches are used to develop the hypotheses related to the relationships between user and technology: the relationship user-prosumer and the relationship principal-agent. Therefore, our quan...
Article
Full-text available
The emergence and increasing importance of digital society increased the role of software applications in smart environments. Associated with these paradigms are a multitude of applications that generate and require analysis of massive volumes of diverse, heterogeneous, complex, and distributed data. The problem of partitioning images into homogeno...
Conference Paper
Among the many approaches in performing image segmentation, graph based approach is gaining popularity primarily due to its ability in reflecting global image properties. Volumetric image segmentation can simply result an image partition composed by relevant regions, but the most fundamental challenge in segmentation algorithm is to precisely defin...
Article
Full-text available
Image segmentation plays a crucial role in effective understanding of digital images. However, the research on the existence of general purpose segmentation algorithm that suits for variety of applications is still very much active. Among the many approaches in performing image segmentation, graph based approach is gaining popularity primarily due...
Conference Paper
This paper presents the design of a system that performs a data analysis processes on the students' interaction activity. We aim to find if there is any correlation between student's knowledge level and their messaging activity. In the first phase, we perform a comprehensive literature review such that we obtain an extensive listing of relevant fea...
Article
This chapter presents an advanced messaging system, whose goal is to improve the peer-to-peer communication in e-Learning. The improvement is based on the ability of the developed system to produce information that is highly related to the informational needs of the person, who accesses it. The system is an intelligent one because it integrates a c...
Article
The emergence and increasing importance of digital society increased the role of software applications in smart environments. Associated with these paradigms are a multitude of applications that generate and require analysis of massive volumes of diverse, heterogeneous, complex, and distributed data. The problem of partitioning images into homogeno...
Article
Image segmentation plays a crucial role in effective understanding of digital images. Among the many approaches in performing image segmentation, graph based approach is gaining popularity primarily due to its ability in reflecting global image properties. Volumetric image segmentation can simply result an image partition composed by relevant regio...
Article
Full-text available
The goal of this paper is to present two methods of segmentation on color images based on graphs algorithms. The paper contains two parts. The first part presents Graph-Based Segmentation Method for Planar Images and despite of the majority of the segmentation methods our method does not require any parameter to be chosen in order to produce a bett...
Chapter
This paper presents the design and development of new tools for an innovative e-learning platform, with implications and analysis from human computer interaction (HCI) point of view. The goal of tools is to improve the educational process by helping professors to form a correct mental model of each leaner’s performance. The main functions offered b...
Article
Visual segmentation is related to some semantic concepts because certain parts of a scene are pre-attentively distinctive and have a greater significance than other parts. The major concept used in graph-based volumetric segmentation method is the concept of homogeneity of regions and thus the edge weights are based on color distance. Recent techni...
Article
In this paper we extend our previous work for planar images by adding a new step in the volumetric segmentation algorithm that allows us to determine regions closer to it. There are huge of papers for planar images and segmentation methods and most of them are graph-based for planar images and very few papers for volumetric segmentation methods. Ho...
Chapter
Today, in the medical field there are huge amounts of non-textual information, such as radiographic images, generated on a daily basis. Given the substantial increase of medical data stored in digital libraries, it is becoming more and more difficult to perform search and information retrieval tasks. Image annotation remains a difficult task for tw...
Conference Paper
The emergence and increasing importance of digital society, cyber-physical systems, and semantic, pervasive, and mobile computing are expanding the role of software and applications in smart environments. Associated with these paradigms, are instruments, sensors, and a multitude of applications that generate and require analysis of massive volumes...
Conference Paper
Classification of items (i.e. students, genes, etc.) on data sources provided by various software systems represents an important task that needs to be performed for many reasons related to the business goals of the system. This paper presents several approaches that need to be taken into consideration by a data analysis system designer who aims to...
Conference Paper
The problem of partitioning images intohomogenous regions or semantic entities is a basic problem foridentifying relevant objects. Visual segmentation is related tosome semantic concepts because certain parts of a scene arepre-attentively distinctive and have a greater significance thanother parts. Unfortunately there are huge of papers for 2Dimage...
Article
The paper presents some challenges regarding software methodology for Distributed Development of Software and e-Learning system. Of course this system was influenced by well known e-Learning platforms but come to improve them on exploitation and it is based on our experience in exploitation. The classical methodology of each field was enriched by i...
Article
This paper presents the development of a new tool for an e-Learning platform, with implications and analysis from human computer interaction (HCI) and cognitonics perspectives. The goal is to improve the educational process by helping the professor form a correct mental model of each student's performance (capability). Besides this, the developed a...
Article
The problem of partitioning images into homogenous regions or semantic entities is a basic problem for identifying relevant objects. Visual segmentation is related to some semantic concepts because certain parts of a scene are pre-attentively distinctive and have a greater significance than other parts. However, even if image segmentation is a heav...
Conference Paper
This paper presents a method of using a classification procedure for retrieval of the messages that may be interesting to students. Students and professors are communicating using an online educational environment, which will provide the necessary amount of data needed to create the student model. We aim at creating a tool that will allow students...
Article
Full-text available
Automatic image annotation is the process of assigning meaningful words to an image taking into account its content. This process is of great interest as it allows indexing, retrieving, and understanding of large collections of image data. This paper presents a system used in the medical domain for three distinct tasks: image annotation, semantic b...
Chapter
The rapid growth of digital multimedia technologies brings tremendous attention to the field of digital authentication. Digital watermarking has become widely recognized as an effective measure for copyright protection of multimedia data. The owner or the distributor of the digital images can insert a unique watermark into copies for different cust...
Chapter
An active development of semantic-based visual information retrieval methods was made in an attempt to reduce the semantic gap. The semantic-based image retrieval task aims to discover high-level semantic meaning within an image. The main obstacle in realizing semantic-based image retrieval activities is represented by the fact that it is very diff...
Chapter
The performance of an image annotation or retrieval model can be tested and validated only by using an experimental environment represented by a software system. This chapter presents in detail our object-oriented medical annotation software system designed and implemented for gathering and managing the necessary data, providing the means for evalu...
Chapter
Medical images can be described properly only by using a set of specific words. In practice, this constraint can be satisfied by the usage of ontologies. In this chapter, we focus on the existing definitions for ontologies and usability. Several design criteria and development tools are presented to illustrate the means available for creating and m...
Article
We have developed an E-Learning platform that is currently used by more than 350 students. The main goal of the platform is to bring together professors and students in a collaborative environment managed by secretaries and supervised by an administrator. The software architecture is implemented as a scalable application due to using MVC (Model-Vie...
Article
Image segmentation has an essential role in the image annotation process which assigns meaningful words to an image taking into account its content. For this reason it is important to identify which segmentation algorithm is producing better results. This evaluation can be made using segmentation error measures for consistency quantification and by...
Article
Full-text available
In the present paper we are introducing a new method of salient object detection with very good results relative to other already known segmentation methods. We address through our research the problem of image segmentation evaluation by an efficient comparison of four complex al-gorithms. In order to compare our method with other ap-proaches, we b...
Article
The intelligent character of a decision support system is one of the most appreciated issues in current e-Learning trends. This paper presents a software architecture design for e-Learning domain. The design has as main goal usage of reusable components such that the application may be easily configured. The proposed software architecture ensures c...
Chapter
Image retrieval can be done on the basis of features, either low-level (content-based image retrieval) or high-level (semantic-based image retrieval). Since semantic-based features rely on low-level ones, in this chapter, we present our research in the field of content-based image retrieval (CBIR) using color and texture features. The research was...
Chapter
Image classification and automatic annotation could be treated as effective solutions to enable keyword-based semantic image retrieval. The importance of automatic image annotation has increased with the growth of the digital images collections being of great interest as it allows indexing, retrieving, and understanding of large collections of imag...
Chapter
This chapter presents a new and efficient unsupervised color segmentation scheme named GBOD to detect visual objects from medical color images and to extract their color and geometric features, in order to determine later the contours of the visual objects and to perform syntactic analysis. The presented method is a general-purpose segmentation alg...
Article
Increasing the effectiveness of educational processes is one of the greatest challenges for information society. The paper presents the usage of M Tree structure for classification of the learners based on their final marks obtained in their respective courses. The classical building algorithm of M-Trees with an original accustomed clustering proce...
Chapter
Self-assessment is one of the crucial activities within e-learning environments that provide learners with feedback regarding their level of accumulated knowledge. From this point of view, the authors think that guidance of learners in self-assessment activity must be an important goal of e-learning environment developers. The scope of the chapter...
Article
Full-text available
The aim of this article is to study the problem of color medical images segmentation. The images represent pathologies of the digestive tract such as ulcer, polyps, esophagites, colitis, or ulcerous tumors, gathered with the help of an endoscope. This article presents the results of an objective and quantitative study of three segmentation algorith...
Conference Paper
Automated annotation of digital images remains a highly challenging task being used for understanding of large collections of image data. Indexing and retrieval are better achieved when using the histogram as an efficient technique for content-based image retrieval domain. This paper presents an automated system that can be used for three distinct...
Article
Full-text available
This paper presents a method for detection of salient objects from images. The proposed algorithms for image segmentation and objects detection use a hexagonal representation of the image pixels and a hypergraph structure to process this hierarchal structure. The main goal of the method is to obtain salient regions, which may be associated with sem...
Conference Paper
Automated annotation of digital images is a challenging task being used for indexing, retrieving, and understanding of large collections of image data. Several machine learning approaches have been proposed to model the existing associations between words and images. Each approach is trying to assign to a test image some meaningful words taking int...
Conference Paper
Automated annotation of digital images is a challenging task being used for indexing, retrieving, and understanding of large collections of image data. Several machine-learning approached have been proposed to model the existing associations between words and images. Each approach is trying to assign to a test image some meaningful words taking int...
Conference Paper
The present paper addresses the problem of image segmentation evaluation by comparing seven different approaches. We are presenting a new method of salient object detection with very good results relative to other already known object detection methods. We developed a simple evaluation framework in order to compare the results of our method with ot...
Article
Building a high quality e-Learning environment is one of the greatest challenges. One important approach for enhancing an e-Learning environment is to build a recommender system that guides the learners in their activities. The core business logic implies a classification of learner based on a linear regression mechanism. The obtained classificatio...
Conference Paper
This paper presents a new method for segmentation of images into regions and for boundary extraction that reflect objects present in the image scene. The unified framework for image processing uses a grid structure defined on the set of pixels from an image. We propose a segmentation algorithm based on hypergraph structure which produces a maximum...
Conference Paper
Automatic image annotation is the process of assigning meaningful words to an image taking into account its content. This process is of great interest as it allows indexing, retrieving, and understanding of large collections of image data. This paper presents an original image annotation system used in the medical domain. The annotation model used...
Article
Full-text available
Nowadays e-Learning environments manage and deliver high volumes of data. Under these circumstances it becomes highly advisable shifting towards distributed software systems. This approach may bring high benefits regarding the average response time and therefore the overall quality of the e-Learning environment. One possible solution is represented...
Chapter
Self-assessment is one of the crucial activities within e-learning environments that provide learners with feedback regarding their level of accumulated knowledge. From this point of view, the authors think that guidance of learners in self-assessment activity must be an important goal of e-learning environment developers. The scope of the chapter...
Chapter
This paper presents a high-level Petri net model called High-Level Petri Nets with Object-Orientation (HLPNOO), a new approach for introducing object-oriented concepts into the framework of Petri nets. An important feature of the HLPNOO formalism is the fact that it allows distinct hierarchies for subtyping and subclassing. We use order-sorted alge...
Article
This paper presents a system for image automatic annotation considering the information extracted from the image through the segmentation and the boundary detection process. Using a domain ontology, we add semantic information to regions from the images which belong of to the domain. The technique proposed in the article uses a flexible hexagonal-g...
Article
This paper presents the architecture, simulation, implementation and control problem for a class of continuum manipulators the truncated cone tentacle arm. Desired shape for a tentacle robot is obtained by bending each of the three serial connected sections of a continuous backbone. Such tentacle arm has a fixed length but it can achieve any positi...
Chapter
E-Learning area has been intensively developed in recent years. One of the important research areas is related to improving e-Learning activity by giving the intelligent character to this activity besides core functionalities that is implemented in all e-Learning platforms. This paper presents a method of providing intelligent character to an e-Lea...
Conference Paper
Full-text available
This paper presents an efficient graph-based method to detect salient objects from color images and to extract their color and geometric features. Despite of the majority of the segmentation methods our method is totally adaptive and it do not require any parameter to be chosen in order to produce a better segmentation. The proposed segmentation me...
Article
One of the most important things a learner misses within an e-Learning environment is the social aspect. This paper proposes a design for a social intelligent learner (SIL) that will act as an agent on behalf of the actual learner. The overall system works as a community support system designed for e-Learning environments. The actual learners benef...
Conference Paper
The present paper addresses the problem of image segmentation evaluation by comparing four different approaches. We are introducing a new method of salient object recognition with very good results relative to other already known object detection methods. We developed a simple evaluation framework in order to compare the results of our method with...
Conference Paper
Image segmentation has been, and still is, a relevant research area in computer vision and hundreds of segmentation algorithms have been proposed in the last 30 years. An image retrieval system has now an array of available algorithm choices, however, few objective numerical evaluations of these segmentation algorithms exist. Typically, the effecti...
Conference Paper
This paper presents the design, development and testing of an e-assessment system, focusing on the practical part of the Medical School training. It also discusses several important aspects that need to be taken into consideration when creating an e-learning application for the medical domain. For example, the application must accustom the student...
Conference Paper
Image segmentation plays an important role in image analysis as a frequent pre-processing step in many image understanding algorithms and practical vision systems. According to several authors, segmentation terminates when the observer's goal is satisfied and for this reason, a unique method that can be applied to all possible cases does not yet ex...
Conference Paper
Full-text available
In e-Learning domain there has been observed an important effort towards designing and integrating support system software. These software systems may be fully integrated or run as services along e-Learning platforms and have as main goal increasing the effectiveness of the e-Learning processes. This paper proposes a novel structure of a support sy...
Article
Enhancing on-line courses is one of the most important issues of current e-Learning platforms. These platforms try to upgrade from simple environments where learners can download documents and take tests to complex environments where the learning content is adapted and intelligently retrieved. This paper presents a methodology for achieving such go...
Chapter
In this paper we study a method for automatic diagnosis based on edoscopies of medical images. We develop algorithms that automatically generate rules that identify medical diagnosis. A semantic rule is a combination of semantic indicator values that identifies the image diagnosis. These rules are represented in Prolog and can be shared and modifie...
Article
Full-text available
Expanding mental outlook for learners is one of the important open problems in e-Learning. Online should have the property of expanding and enhancing the mental outlook of learners in general and also, in particular, concerning the studied discipline. This paper presents an approach to this issue. The tool used for expanding the mental outlook is r...