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  • Darko Stipanicev
Darko Stipanicev

Darko Stipanicev
University of Split · Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture

PhD

About

78
Publications
20,157
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548
Citations
Citations since 2017
13 Research Items
208 Citations
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Introduction
Skills and Expertise

Publications

Publications (78)
Chapter
O período entre 2018 e 2022 mostrou-nos que o problema dos incêndios à escala global não está a diminuir, antes pelo contrário. Parece que as consequências das alterações climáticas já estão a afectar a ocorrência de incêndios florestais em várias partes do Mundo, de uma forma que só esperaríamos que acontecesse vários anos mais tarde. Em muitos pa...
Chapter
O período entre 2018 e 2022 mostrou-nos que o problema dos incêndios à escala global não está a diminuir, antes pelo contrário. Parece que as consequências das alterações climáticas já estão a afectar a ocorrência de incêndios florestais em várias partes do Mundo, de uma forma que só esperaríamos que acontecesse vários anos mais tarde. Em muitos pa...
Article
Full-text available
The string-matching paradigm is applied in every computer science and science branch in general. The existence of a plethora of string-matching algorithms makes it hard to choose the best one for any particular case. Expressing, measuring, and testing algorithm efficiency is a challenging task with many potential pitfalls. Algorithm efficiency can...
Article
Optic disc and optic cup are one of the most recognized retinal landmarks, and there are numerous methods for their automatic detection. Segmented optic disc and optic cup are useful in providing the contextual information about the retinal image that can aid in the detection of other retinal features, but it is also useful in the automatic detecti...
Article
In this paper, we present a novel approach to visual smoke detection based on stereo vision. General smoke detection is usually performed by analyzing the images from remote cameras using various computer vision techniques. The literature on smoke detection shows a variety of approaches, and the focus of this paper is the improvement of the general...
Article
Full-text available
Automatic analysis of retinal fundus images is becoming increasingly present today, and diseases such as diabetic retinopathy and age- related macular degeneration are getting a higher chance of being discovered in the early stages of their development. In order to focus on discovering those diseases, researchers commonly preprocess retinal fundus...
Article
Full-text available
Ever since there has been an increase in the number of automatic wildfire monitoring and surveillance systems in the last few years, natural landscape images have been of great importance. In this paper we propose an expert system for fast segmentation and classification of regions on natural landscape images that is suitable for real-time applicat...
Article
Segmentation and classification of objects in images is one of the most important and yet one of the most complex problems in computer vision. In this work we propose a new model for natural image object classification using contextual information at the level of image segments. Context modeling is largely independent of appearance-based classifica...
Chapter
In this paper we describe holonic organization of a multi agent system for automatic vehicle classification in a road toll system. Classification of vehicles in road toll systems is based on physical vehicle features and in this paper we focus on axle counting as the first discriminant feature for class determination. Our system relies on two main...
Article
This article presents a novel method for measurement of wildfire smoke dynamics based on computer vision and augmented reality techniques. The aspect of smoke dynamics is an important feature in video smoke detection that could distinguish smoke from visually similar phenomena. However, most of the existing smoke detection systems are not capable o...
Article
Full-text available
This paper presents knowledge representation and formalization in different qualitative modeling techniques. Qualitative reasoning, bond graphs, system dynamics, Petri nets and fuzzy cognitive maps are described and compared. They have also been compared with knowledge representation using semantic networks. The conclusion drawn in the paper is tha...
Conference Paper
The segmentation and classification of image regions are very important tasks in the field of computer vision, and yet they remain one of its greatest challenges. These challenges arise from the fact that the same objects can come in different colors, shapes and sizes, and can appear in different contexts and under different illumination. In an att...
Article
In this paper we describe holonic multi agent architecture of iForestFire Intelligent Forest Fire Monitoring System through phases and activities of the holonic software engineering process. iForestFire is a web-based information system used in all aspects of forest fire management. Its central part is an artificial perception system, observer netw...
Article
Sensors for early fire detection based on visual analysis have been under constant development and improvement, especially during the last decade. However, there is still a lot of room for advancement to increase the accuracy and reliability of such sensors. In this paper, a novel method for wildfire smoke detection based on spatial context analysi...
Article
Free access to this article, valid until 26th March, 2014: http://elsarticle.com/1ejF8LW Standard wildfire smoke detection systems detect fires using remote cameras located at observation posts. Images from the cameras are analyzed using standard computer vision techniques, and human intervention is required only in situations in which the system...
Article
Full-text available
Sentence retrieval consists of retrieving relevant sentences from a document base in response to a query. Question answering, novelty detection, summarization, opinion mining and information provenance make use of sentence retrieval. Most of the sentence retrieval methods are trivial adaptations of document retrieval methods. However some newer sen...
Conference Paper
Wildfires are natural risk phenomena that cause significant economic and environmental damage. In wildfire fighting strategy it is important to detect the wildfire in its initial stage and to apply, as soon as possible, the most appropriate fire fighting action. In both cases wildfire monitoring and surveillance systems are of great importance, so...
Article
This article addresses a formal model of a distributed computation multi-agent system. This model has evolved from the experimental research on using multi-agent systems as a ground for developing fuzzy cognitive maps. The main paper contribution is a distributed computation multi-agent system definition and mathematical formalization based on auto...
Conference Paper
The paper describes design and implementation of Bayesian proprioceptor for forest fire observer network. The proprioceptor, sometimes also referred to as network observer has task of syintactical and semantical sensor and data validation in advanced sensor network Multi agent Bayesian network is used for cooperative data analysis and data understa...
Conference Paper
This paper presents the Fuzzy Cognitive Map (FCM) used in image post-processing decision support for the false alarm reduction in a forest fire monitoring systems. When the image processing and analysis are used to extract contextual information from images, like fire or smoke in our case, it is usually possible to identify the image meta-data and...
Article
Future Generation Communication Environment (FGCA) is defined as advanced communication and networking environment where all applications and services are focused on users. In this paper an example of such an application is described where the “user” is the natural environment and the goal is the environment protection. An idea of observer network...
Conference Paper
UN started with Millennium Development Goals (MDG) 10 years ago. Problems addressed in the goals achievements are meant to solve world's biggest problems. This paper proposes ICT solution which helps economists in decision making and to address problem no.1. "The end of world poverty". Proposed system has ability of self-learning in order to addres...
Article
Full-text available
Wildfires are natural phenomena that cause significant economic damage. Apart from preventive measures, early fire detection on one side and quick and appropriate intervention on the other, are measures of vital importance for wildfire damage minimization. Therefore the wildfire monitoring and surveillance is quite important wildfire prevention mea...
Article
Artificial perception system is designed for sensor data based environmental event observation. Visual perception is primarily based on data received from visual sensors. Quantitative quality analysis is used in the development of the artificial perception system both during the development phase and as a part of the system's maintenance. The examp...
Article
Image parsing is an essential part of a large number of image understanding systems. It encompasses techniques for segmenting images into meaningful objects and labeling them with semantic classes. Both sub-problems of segmentation and classification are impossible to deal with in most natural domains without implicit or explicit consideration of c...
Conference Paper
Notice of Violation of IEEE Publication Principles"Review of Wildfire Smoke Detection Techniques Based on Visible Spectrum Video Analysis"by Toni Jakovcevic, Maja Nraovic, Darko Stipanicev, Damir Krstinicin the Proceedings of the 7th International symposium on Image and Signal Processing and Analysis (ISPA 2011), September 2011, pp. 480–484After ca...
Article
Wildfires represent a constant threat to ecological systems, infrastructure and human lives. Since they can do so much damage and have devastating consequences, great efforts have been put into the development of systems for their early detection, because fast and appropriate intervention is of primarily importance for wildfire damage minimization....
Article
This article presents an agent-based fuzzy cognitive map (ABFCM) developed injecting the concept of multi-agent system (MAS) into the fuzzy cognitive map (FCM). Fuzzy cognitive map is used for qualitative modeling and simulation. Compared to the FCM, the ABFCM enables different inference algorithms in each node enabling simulation of systems with d...
Article
Full-text available
In recent years the interest for terrestrial wildfire smoke detection systems has increased, particularly those based on video systems sensitive in visible and/or infrared (IR) spectra. Although many video based smoke-detection algorithms have been developed and applied in various experimental or real life applications, the standard method for eval...
Conference Paper
Forest fires are natural phenomena that cause significant economic damage and have quite devastating effect to the environment all over the world. In most cases they are caused by humans, so the human's responsibility is to minimize damage caused by forest fires. Early forest fire detection, both quick and appropriate intervention is of vital impor...
Article
Full-text available
A focus of this paper is a pixel level analysis and segmentation of smoke colored pixels for the automated forest fire detection. Variations in the smoke color tones, environmental illumination, atmospheric conditions and low quality of the images of wide outdoor area make smoke detection a complex task. In order to find an efficient combination of...
Article
Forest fires represent a constant threat to ecological systems, infrastructure and human lives. Great efforts are therefore made to achieve early forest fire detection, which is traditionally based on human surveillance. A rather more advanced approach to human forest fire surveillance is installation of remotely controlled video cameras sensitive...
Conference Paper
Full-text available
Toll collection system is complex system including business information and equipment control system characteristics. Information system evolutionary development model implies re-usage of part or complete existing system. The need for evolutionary approach to toll collection information system development is emphasized in Croatia since highways are...
Article
Forest fires represent a constant threat to ecological systems, infrastructure and human lives. The only effective way to minimize damage caused by forest fires is their early detection and fast reaction, apart from preventive measures. Great efforts are therefore made to achieve early forest fire detection, which is traditionally based on human su...
Conference Paper
Full-text available
The biggest fire fighting accident in the history of Croatia happened on August 30, 2007. The routine fire fighting operation ended with 12 dead and one badly injured firefighter. That was the biggest human loss in the history of fire fighting in Croatia. In order to understand the Kornati accident, a research team was formed and an independent sci...
Conference Paper
Full-text available
The biggest fire fighting accident in the history of Croatia happened on August 30, 2007. The routine fire fighting operation ended with 12 dead and 1 badly injured fire-fighter. That was the biggest human loss in the history of fire fighting in Croatia. In order to understand the Kornati accident a research team was formed and independent scientif...
Conference Paper
Full-text available
The biggest fire-fighting accident in the history of fire-fighting in Croatia happened on August 30th 2007. The routine fire-fighting operation ended with 12 dead and one badly injured fire-fighter. In order to understand the Kornati accident the research team was formed and independent scientific investigation performed. The accident was analyzed...
Conference Paper
Full-text available
Sensor networks (SN) and wireless sensor networks (WSN) are one of key technologies in development for 21 century, challenging the imagination of scientists and engineer because when deployed directly in an area of interest a large volume of data can be obtained. Increasing the volume of data, we must create robust software support for data collect...
Conference Paper
Full-text available
By appropriate integration of advanced ICT systems in an environment, in a way that those highly technological systems become almost its integral part, it is possible to provide additional environment features. Those features are primarily self-monitoring and self-protection, giving the environment rudimentary intelligence and possibility, to opera...
Article
Full-text available
In forest fire protection systems 24 hour surveillance is of most importance. Real time data must be acquired to react fast enough to suppress fire occurrence or to minimize damage made by forest fires. In forest fire monitoring systems, usually a large area must be controlled. Real time data has to be collected and processed in time. When the amou...
Article
Full-text available
Models are helpful tools for scientists and engineers. Fire modeling is used to understand and to predict possible fire behavior without getting burned. Fire models are used in different aspects of fire management: a) before fire, for risk factor calculation and this would help fire fighters to focus on area with higher risk and develop better infr...
Conference Paper
Full-text available
Fuzzy relational model describes system's behavior by a nonlinear mapping between its variables and it could be applied for the prediction of system behavior. In this paper, we further develop the ideas of using fuzzy relations in construction of internal models for control purposes. The architecture based on the fuzzy relational model was develope...
Conference Paper
Full-text available
Networked embedded systems have become quite important nowadays, especially for monitoring and control of distance and dislocated objects. Small greenhouses are typical examples. First, they are usually located far away from the owners house, and second, the plant growth is an example of the process which needs constant 24 hours monitoring. In this...
Conference Paper
The motion analysis plays an important role in the broad range of applications, such as visual feedback control, scene reconstruction and similar. In this paper the technique for 2D-motion analysis based on displacement vector determination is described. In our approach we have used the device called Fuzzy Pattern Comparator (FPC) and develop the...
Conference Paper
The control of robot hand while reaching an object is a complex task involving the interaction of sensory inputs and motion commands. In this paper the system based on visual feedback is described. The whole system is shortly explained and the special emphasis is given to the target final approach control based on Fuzzy Pattern Comparison (FPC) tec...
Conference Paper
“Simplicity is an advantage”, particularly in solving real-life problems. Control engineering is not the exception. Simple control algorithms capable of controlling complex systems are dreams of all control engineers. 30 years ago Michie and Chambers (1968) had introduced the control methodology with such properties. They called it the boxes method...
Article
Sensory based control, particulary vision based control has become quite important in autonomous vehicle applications. For certain simple control tasks, as for exmnple light source position detection and tracking, vision based control using video cameras is rather complicated. The paper describes simple vision sensor called "fuzzy eye" which is qui...
Chapter
The paper describes the idea of self-tuning self-organising fuzzy control. Simple fuzzy controller, introduced at the beginning of seventies as a rule-based controller, had two main disadvantages: difficulty with definition of good control rules and problems with tuning of controller parameters. Self-organising controller was developed to overcome...
Conference Paper
Full-text available
A fuzzy control system based on the principles of eye-hand coordination is described. As a vision sensor a simple device called a fuzzy eye was applied. The fuzzy eye was successfully used in a sensory-based control system, whose task was to perceive and then to follow a point source of light. The control algorithm was based on a simple fuzzy contr...
Article
The paper discuss fundamental determinations of intelligent system for collecting, analysing and presentation of underwater environment information, currently in development under the contract of Ministry of science, technology and informatics of Republic Croatia.
Article
The paper describes the idea of self-tuning self-organising fuzzy control. Simple fuzzy controller, introduced at the beginning of seventies as a rule-based controller, had two main disadvantages: difficulty with definition of good control rules and problems with tuning of controller parameters. Self-organising controller was developed to overcome...
Conference Paper
Full-text available
The author shows how techniques of artificial intelligence and fuzzy reasoning could be used to implement a time optimal control policy when an exact mathematical model of the process is not known. The controller has a simple knowledge base with knowledge about control policy for different starting errors, but it also has adaptive and self-learning...
Chapter
It is now some 15 years since the first “fuzzy controller” was implemented as an experimental system by one of the the authors and his associates. Today this work occupies a prominent place within the larger areas of both control systems and fuzzy sets theory and there is an extensive and growing literature on the subject. In this paper we take a r...
Chapter
This article describes the principles of fuzzy feedforward control,suitable for feedforward control of ill-defined processes for which it is uneconomic or even impossible to develop a deterministic or stochastic process model and to apply the conventional feedforward control theory. Special attention is given to the experiments with fuzzy feedforwa...
Article
It is now some 15 years since the first “fuzzy controller” was implemented as an experimental system by one of the the authors and his associates. Today this work occupies a prominent place within the larger areas of both control systems and fuzzy sets theory and there is an extensive and growing literature on the subject. In this paper we take a r...
Article
Sensor guided robots require, according to nonlinear characteristics of certain interaction processes between robot effector and object, appropriate robust control algorithms for the external sensory control loop. This paper deals with a fuzzy controller ...
Article
The great participation of direct human work characterizes today's shipbuilding industry. The actual status in the development of science and technology makes possible the replacement of humans with industrial robots in a large number of these work places. The strategy of the introduction of industrial robots in shipyards has to be adapted to exist...
Article
The concept of fuzzy feedforward and composite control of complex, ill-defined, non-deterministic processes is offered. Fuzzy relational model of process suitable for feedforward control is developed and, using this model, the algorithms of the fuzzy feedforward and composite controls are derived. The advantages of proposed control procedures are d...
Article
The paper deals with the damping of resonances in a passband of RFI filters. Losses are introduced into a shunt-capacitive branch by adding an RC member parallel to the capacitor. Equations for elemental L section filter damped with an RC member are derived. Multiple L section filters can be designed using a computer program described.
Article
Full-text available
The paper describes the Holistic approach to the Forest Fire Protection (HFFP) in Split and Dalmatia County. This HFFP model, unique in Republic Croatia, has been started in 2003. and it is now in its realisation phase. The model integrates not only various, technical and non-technical forest fire preventive measures, but also the long-term energy...
Article
Full-text available
Wildfires cause significant economic damage and have quite devastating effect on environment all over the world. Early fire detection and quick and appropriate intervention are of vital importance for wildfire damage minimization. In both cases, video-monitoring system could be quite useful. In this paper, after a short survey of various approaches...
Article
Fire modeling is used to understand and to predict possible fire behavior without getting burned. Fire models are used in different aspects of fire management: a) before fire, for risk factor calculation and this would help fire fighters to focus on areas with higher risk and develop better infrastructure, b) before fire, for fire fighter training...
Article
Full-text available
Forest fires represent a constant threat to ecological systems, infrastructure and human lives. The only effective way to minimize damage caused by forest fires is their early detection and fast reaction, apart from preventive measures. Great efforts are therefore made to achieve early forest fire detection, which is traditionally based on human su...
Article
Full-text available
Forest fires represent a constant threat to ecological systems, infrastructure and human lives. Great affords are therefore made to achieve early forest fire detection, which is traditionally based on human surveillance. A rather more advanced approach to human forest fire surveillance is installation of remotely controlled video cameras on monitor...
Article
Full-text available
The paper describes the technical details of the pilot project, aimed for Dalmatian islands of Brac, Hvar and Vis, which integrates a spectrum of preventive fire protection measures on the one side, and the long-term energy supply based on Solar-Biomass-LPG district heating plant, on the other side. This fire prevention project is a part of fire fi...
Article
Full-text available
Multi-agent systems (MAS) could be (and already are) applied in different areas. In LARIS -Laboratory for robotics and intelligent systems, FESB, University of Split, a number or experiments investigating multi-agent system capabilities are currently in progress. A yacht charter system can be realized as e-commerce system connecting charter provide...

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Projects (2)
Project
The CAAT project aims to apply fundamental research in oceanographic and atmospheric modeling that will be related to the flow and transport of surface and groundwater runoff to the Adriatic coastal waters to quantify the actual load on these water bodies and their potential auto-purification capabilities. The models and methodologies mentioned above are based on the previous research activities of all project partners. Web site: http://caat-project.com/