Development of a spatial decision support system requires integration of various spatial data sets coming from different information systems of possibly more than one organization. The spatial decision support system development for spatial planning and environmental protection is discussed and spatial data integration is described. The heterogeneity of information systems from which spatial data come is reflected through their purpose. Utility and real estate cadaster systems imply services to citizens as part of spatial data infrastructure in the Federation of Bosnia and Herzegovina. The spatial planning information system is intended for registration of environmental changes and spatial decision making. Utility cadaster information system development is described along with important aspects on how to satisfy both functional cadastral services and spatial planning experts needs to analyze information related to land use and network supply systems. Particular attention is given to spatial data transformation for utility cadaster database development in accordance with a prescribed data model.

This paper describes an approach introducing location intelligence using open-source software components as the solution for planning and construction of the airport infrastructure. As a case study, the spatial information system of the International Airport in Sarajevo is selected. Due to the frequent construction work on new terminals and the increase of existing airport capacities, as one of the measures for more efficient management of airport infrastructures, the development team has suggested to airport management to introduce location intelligence, meaning to upgrade the existing information system with a functional WebGIS solution. This solution is based on OpenGeo architecture that includes a set of spatial data management technologies used to create an online internet map and build a location intelligence infrastructure.

Different methodologies are used to assess the potential for using high efficiency cogeneration for cooling and heating. They are mostly adapted to the availability of data and tools for their analytical processing. This paper presents the approach applying location intelligence as a tool that allows using geospatial analysis algorithms and geovisualization of its results. Due to the extremely large amount of data and the dependence of the results on their accuracy and the level of aggregation, the initial methodology of the analytical process implied two steps: wide scale mapping by the "top down" method, and local mapping by “bottom up” method. However, in order to overcome the problem of regional disparities of quality and the existence of spatial data, certain adaptations of the initial methodology have been made considering the need for a single analytical approach for the entire area of interest. Randomized control of the obtained results indicate that applied geospatial algorithms satisfy the required level of accuracy and reliability of the final methodology.

Organizations can improve efficiency of process execution through a correct resource allocation, as well as increase income, improve client satisfaction, and so on. This work presents a novel approach for solving problems of resource allocation in business processes which combines process mining, statistical techniques, and metaheuristic algorithms for optimization. In order to get more reliable results of the simulation, in this paper, we use process mining analysis and statistical techniques for building a simulation model. For finding optimal human resource allocation in business processes, we use the improved differential evolution algorithm with population adaptation. Because of the use of a stochastic simulation model, noise appears in the output of the model. The differential evolution algorithm is modified in order to include uncertainty in the fitness function. In the end, validation of the model was done on three different data sets in order to demonstrate the generality of the approach, and the comparison with the standard approach from the literature was done. The results have shown that this novel approach gives solutions which are better than the existing model from literature.

This paper presents an innovative approach to optimize the process of the transmission line towers spotting using genetic algorithms. The mathematical model as well as the process of setting and decoding the variables of the genetic algorithm in the Matlab program package is explained. Possible settings of the fitness function and other parameters of the genetic algorithm in Matlab are outlined and described in order to find optimal arrangement of the transmission towers with minimizing the cost of construction and future maintenance of the transmission line on a particular section. Restrictions imposed due to environmental and geological conditions, legal regulations, standardization and typification of structures as well as other factors imposed by public utility companies and investors have been Taken into account.

The paper presents integration of spatial data and processes in local administration, or how to develop integral spatial information system for local government. Firstly, it is necessary to identify existing problems, then define the goals, and finally choose the appropriate solution. The obstacles that inhibit such approach are already recognizable in many municipal departments and relate to insufficient utilization of existing information system due to diverse applications, and inaccessibility of datasets located at various locations, and consequently, growing maintenance costs for the information system. The objectives to be pursued are: to integrate the functionality of the entire system, to enable the availability of spatial data to all employees, to ensure full interaction, cooperation and exchange of information between the mayor, officials and citizens, and based on this, to optimize the costs maintenance and further development of the information system. In this sense, the solution imposes centralization and integration of all spatial data and processes related to them, through a unique model and with web architecture at the level of the whole organization. Additionally, the benefits from implementation of such solution, as well as its impact on the work of the administration from economic and social benefits point have been analyzed.

The objective of the paper is to present a case study about innovations of business processes related to bachelors' and masters' theses on the Faculty of Electrical Engineering of University Sarajevo by applying concepts of business process management (BPM) on those business processes. Theoretical context of the paper is created by presenting BPM concepts. Then, these concepts where applied on the case study of business processes of Faculty. Those processes are led through first phase of BPM lifecycle. In the phase of process design, current processes are analyzed, problems are recognized, and the new processes are proposed. Innovations of Faculty's information system are proposed and described.

Pavement cracks are the first signs of structural damage in the asphalt pavement surfaces. The oldest method for detection and estimation of the pavement cracks is human visual inspection, also known as manual visual inspection. However, using human inspectors is very time consuming, very expensive and poses a risk to human safety. Another negative side is the fact that the task generally requires road to be closed. Hence, automatic prevention and reparation of cracks on the asphalt surface pavements is an important task, especially because the advanced stages of road deformation lead to formation of potholes. This has negative impact on the total reparation cost. In this paper, we proposed a new unsupervised method for the detection of cracks with gray color based histogram and Ostu's thresholding method on 2D pavement image. At first, the method divides the input image into a four independent equally sized sub-images. Then, the search for cracks is based on the ratio between Ostu's threshold and the maximum histogram value for every sub-image. Finally, all sub-images are assembled into the resulting image. The method was tested on the dataset which contains different pavement images with very versatile types of cracks. The results showed that the proposed method achieves satisfactory performance, especially in the cases of low signal-to-noise ratio, and is very fast.

Organizations use business process management to identify opportunities to reduce costs, increase service or product quality, etc. In this paper, a way to improve businesses processes using process mining techniques and standard methods of businesses process improvement is presented. Process mining has been used to fix the disadvantages of the existing standard methods. The presented approach is tested on a real process. After the process model is acquired using process mining analysis, business process improvement is proposed through a detailed analysis. Also, key performance indicators which are used to measure process performances, and a process model with a new resource allocation, which is improved from the aspect of the predefined key performance indications, is proposed. The experimental results have shown how the process can be improved with a better resource allocation.

In today's global business environment, the importance of customer service, cost-competitiveness, and quality are key factors in determining an organization's success, or undesirable failure. Organizations try to optimize their processes to maximize their profits and make the very process faster. Users usually work with documents in the process. Working with documents makes the process more slowly, since the documents are important to be scanned and attached to the form. This work presents the optimization of such processes. It is achieved by automatic integration of Business Process Management and Electronic Document Management Systems. Improvements and results achieved by proposed integration are presented in this research. The model that is created enables monitoring of defined Key Performance Indicators in the identification process of the bottlenecks in the process. The process can be optimized by increasing the number of resources on the activities that are a bottleneck in the process. Such a solution has been tested in the process of opening a bank account.

Business process management is the process of modifying or adjusting an organization's business process in order to achieve higher productivity or lower costs. Each company or organization has a value creating process that usually involves people, machines and information. One of the main problems with such processes is that it is very difficult to predict how much of each resource is actually needed. In light of the above, the objective of this paper is to implement a methodology that is capable of optimizing the allocation of resources to tasks in a given business process. In this paper, the genetic algorithm was used for optimization. The idea is that once the units are properly presented, the optimal schedule of users should be determined using the genetic algorithm. The fitness function includes Key Performance Indicators of process: waiting time and cost of the resource. Since al the users are not qualified in performing all the tasks in the process, the algorithm has to consider minimal and the maximal available number of users for each activity. The usability of this approach is tested in the process of credit requirement. Finally, the results are compared to the current work process.

Process Mining is a research area that meets the gap between business processes and various IT systems. Most of the works in this area focus on the control flow perspective, while very few of them address the organizational aspect. The organization perspective of process mining supports the discovery of social network within organization by analyzing events logs recorded during real process execution. For process owners, it is very important to know how users perform their activities in process. In this paper, we introduce a process discovery method that combines an organizational perspective with probabilistic approach. Combining these two approaches we are able to fit distribution of users work and distribution of instance generation in process. We use different statistic methods like Cullen and Frey graph, Kolmogorov-Smirnov statistic test, Carmén-von-Mises statistic test and Anderson-Darling statistic test. After finding appropriate distribution we estimate its parameters. Research conducted and presented in this paper reveals that the information about users behaviour in process is significantly useful in further analysis: in simulations, to identify bottlenecks, to improve productivity of resource management and to identify task complexity in process.

Spatial data have proven to be extremely useful in many areas. Accordingly, there are more and more Web GIS solutions. These solutions allow the visualization of spatial data to all Internet users. A large number of available online resource introduced the problem of efficient retrieval of relevant information. The aim of this paper is to describe the way in which Web portals can be used to search and presentation of spatial data. The paper first analyzes the area of the Web portal. It provides an overview of the Web GIS technology, with particular emphasis in its advantages and disadvantages and how the client/server architecture can be applied to Web GIS solutions. Then, it describes how the service oriented architecture can be used to resolve interoperability problems, and gives an overview of OGC standards: WMS, WFS, and WCS. In the end, it explains the need for introducing a geoportal, as a special type of a Web portal. In the practical part of this paper is implemented interactive map of Bosnia and Herzegovina. An overview of the technologies was given: PostGIS, Boundless SDK, GeoServer and OpenLayers, which are an integral part of the OpenGeo Suite. The paper also describes how to integrate local data sources with public web services: MapQuest, Bing Maps and OpenStreetMap.

There is increasing interest of organization for advanced presentation and data analysis for public users. This paper shows how to integrate data from enterprise data warehouse with spatial data warehouse, publish them together to online interactive map, and enable public users to perform analysis in simple web interface. As case study is used Business Intelligence System for Investors, where data comes from different sources different levels, structured and unstructured. This approach has three phases: creating spatial data warehouse, implementing ETL (extract, transform and load) procedure for data from different sources (spatial and non-spatial) and, finally, designing interface for performing data analysis. The fact, that this is a public site, where users are not known in advanced and not trained, calls for importance of usability design and self-evident interface. Investors are not willing to invest any time in learning the basics of a system. Geographic information providers need geoportals to enable access to spatial data and services via the Internet; and it is a first step in creating Spatial Data Infrastructure (SDI).