Abstract: In recent years apart from increasing efficiency, Governments and Business Organizations have started to give priority towards building a sustainable and environmentally friendly system. Recently Green business process modeling has also started to emerge as one of the approaches towards reducing carbon footprint. Process reengineering is one of the pillars of green IT, so combining BPM, in our case BPMN 2.0 notation and Green IT is one of the ways towards achieving set goals. We present model of business processes, which should contribute to better adapt business processes for public sector with identified steps and tasks for implementation of Green IT recommendations.

Abstract: Transportation is an important factor to the development of economy and competitiveness of business. It influences customer’s satisfaction with a particular company. Aside from its importance as an indispensable service of supply chain, transportation represents a substantial cost for the business and makes essential influence to environmental performances. To make transport more efficient and to reduce its costs it is necessary to obtain data about different activities and factors of importance for transport. Having this in mind creation and use of goods flow data base must be a platform to analyze transport activities, give conclusions and recommend and implement changes. There is a need to define limited data set which will reflect significant transport indicators of the current state and realized changes during time. Such data will enable correction measures corresponding to the requests of strategic goals defined on national and international level. Database should be available to the certain beneficiary groups with defined level of authorization rights. It is difficult, even in developed countries to establish a positive intention of economic entities to engage in one of these information systems. Provincial institutions, local governments, and the state of Serbia are of great importance in a comprehensive collection of data on commodity and transport flows, which should serve to define a modern and rational transportation system that will enable sustainable development of the economy in the territory of AP Vojvodina, and thus within the whole country, too. The paper proposes limited data which are significant to follow goods flow and which should be elements of information system and organizational structure within Republic of Serbia which will enable collecting of data, their analysis and dissemination.

Abstract: We conducted a study of a web-based helpdesk application used by Customer Care agents to provide information and support for customers. Ten Customer Care agents participated in a study on usability and user experience, where we compared the current application to a Prototype of a new version of the application. We used typical usability metrics to measure all three dimensions of usability (efficiency, effectiveness and satisfaction). Furthermore AttrakDiff 2 was used to measure the hedonic and pragmatic quality of the product and attractiveness while Self-Assessment Manikin was used to measure affective reaction. The results show a statistically significant improvement or a positive trend in all usability measures. The results also show statistically significant improvement in hedonic stimulation quality and pragmatic quality measures for AttrakDiff 2 test. The Self-Assessment Manikin survey showed no significant change in affect between the two versions of the application.

Abstract: In this paper, we present a prototype version of a new software solution that allows its users to simultaneously send the same message and set the same status on multiple social networks. We describe the microservice architecture of our solution, where communication with social networks through their Application Programming Interfaces (APIs) is handled by a set of dedicated services, one for each supported social network. Services in our microservice architecture may be used by one or more users, who send requests to the services in order to use their capabilities. In addition to the services for different social networks, there is also a service orchestrator whose task is to direct user requests to the appropriate service. At present, our software solution supports the following social network sites: VKontakte, Twitter, and LinkedIn. We also give an overview of a new textual domain specific language (DSL). This DSL is used in our software solution to specify commands for sending messages and posting statuses on social networks.

Abstract: This paper presents a comparison of processing times for different implementations of the singular value decomposition (SVD) of matrices, performed on multicore central processing units (CPUs) and manycore graphics processing units (GPUs). The aim of the paper is to identify which of the considered computing platforms and programming environments leads to the fastest computation of the SVD. The results show that the MATLAB implementation, processed in parallel on the multicore CPU, outperforms all other considered approaches for computing the SVD. It can also be concluded that the GPU implementation of the SVD, which is part of the Nvidia CUDA cuSolver/cuBLAS library, does not efficiently use the computational resources available on GPUs. Therefore, it would be beneficial to develop a custom GPU implementation for computing the SVD, based on some of the more advanced algorithms for this purpose, which would better exploit the advantageous features of the GPU architecture. Plans for future work include the development of this implementation and its use for efficient latent semantic analysis of large term-document matrices.

Abstract: The unique data set was created by collecting data about sanitary inspection control on the territory of AP Vojvodina during the period of two years. The total number of multi-dimensional data records is 28,403. The Open Data with complete details is published on web site of Provincial Health Secretariat in the section Documents – Data, available for a bulk download. Data comprise temporal, spatial and categorical components and as such are highly suitable for a variety of analyses by means of machine learning techniques, especially neural networks. In this paper examples of linear regression and neural networks applications to analysis of the data are presented. The obtained results can be used for improving daily tasks like estimating inspection control workload, and alike.

Abstract: In this position paper, we summarize our achievements in the research and development of formal framework for semantic interoperability in supply networks. First, we identify common problems of traditional supply chains and argue that interoperability of enterprise information systems is crucial for their resolution. Second, we discuss on the foundational aspects of semantic interoperability and criteria for its evaluation. Third, multiple abstraction layers of this framework are described, including 1) individual enterprises’ realities, namely, local ontologies, 2) common collaborative practices, namely, formalizations of relevant reference models, and 3) application ontologies. Finally, we identify gaps and provide guidelines for the future research in the topic.

Abstract: Interactive multimedia simulations combined with computer game elements can be successfully applied as a new type of educational resources for teaching today's generations of students. This type of game based learning module, which we have named game based learning modules (GBLm), has been designed by the author. This works describes one type of GBLm, which we used in the subject Computer Graphics for the teaching unit „Z-buffer“ in order to facilitate the learning process. During designing and creation of the teaching unit for GBLm we used one of constructivist teaching methods – concept maps.

Abstract: In this paper two types of human femur geometrical models and method for its creation are presented. Created method is developed with respect to the morphological and anatomical properties of the human femur, and it enables forming of parametric polygonal mesh and decriptive XML models. The parametric mesh model is based on two parameters, acquired from medical imaging method (CT, X-ray). The first parameter is determined as distance between most prominent points on epicondyles – Df, and the second one as distance between line conecting the most prominent points of epicondyles and the center of the femoral head – FHA. The purpose of the polygonal mesh model is to improve the preparation of orthopedic surgeries and make it easier. The aim of XML model is to enable exchange of mesh model data between applications in network environment. The presented models are applied in the application for preoperative planning, developed by the authors.

Abstract: The problem of optimizing locations for weigh-in-motion (WIM) checkpoints facilities is studied in this paper. The WIM checkpoints equipped with a remote system can be used for various practical applications like statistics, interval measuring and online traffic control, selecting of overloaded vehicles, estimation of the current loading of road or bridge constructions and so on. In order to check truck weight limits and obtain all mentioned information, we need to find answer to the question: where should WIM checkpoints be located? This paper develops a model to determine the locations of WIM checkpoints in traffic network. The problem is solved using the Genetic Algorithm. The purpose of this research was to develop a decision support methodology to identify the optimal locations of a finite set of WIM checkpoints on a transport network in order to minimize possible risk and to maximize total flow captured.

Abstract: The paper presents a comparison of k-means and HAC clustering. Here is determined the applicability of these methods of clustering in the analysis of user behavior patterns. Also, in this paper, differences between them were observed.

Abstract: There has been a tremendous increase of interest in mobile robots. Today, however, we can build small mobile robots with numerous actuators and sensors that are controlled by inexpensive, small, and light embedded computer systems that are carried on-board the robot. The simplest case of mobile robots are wheeled robots. The goal of this article is to get students interested in and excited about the fields of engineering, mechatronics, and software development as they design, construct, and program an autonomous robot.

Abstract: Customer satisfaction of mobile services in the best way reflects the real functioning of mobile network, regardless of network performance and quality of service parameters, which technically could be measured. Mobile operators nowadays in network optimization must take into account the customer perceptions of services, which are, apart from the technical parameters, affected by numerous factors, such as current trends, marketing (advertising), the prices of services etc. The aim of this paper is to review the QoE concept (including technical and non-technical factors) in 3G mobile networks and to point out the challenges with which mobile operators nowadays are faced. The aim of paper is also to describe and develop effective methods for managing QoE concept and achieve optimum level of customer satisfaction in 3G networks.

Abstract: As institutions of higher education experience a dramatic rise in the demands for online classes, faculty members are at a loss for available tools effectively to evaluate their teaching practices. The authors of this article developed an instrument to give higher education faculty reliable feedback on their online classes. The authors developed an instrument that is unique to the online classroom and addresses issues that evaluation tools for traditional classes cannot address, such as course delivery, instructor's online input, and efficiency of the medium. In this article, the authors report on the reliability and validity of this instrument

Abstract: Transcoding refers to the conversion between two encoding schemes of a digital signal. It is usually performed where two interfaces do not support the same encoding. Transcoding introduces some undesired effects into the signal, the most important of which are distortions and delays. In this paper we give our attention to possibilities of transcoding free operations in a GSM (Global System for Mobile Communications) and UMTS (Universal Mobile Telecommunications System) network. Tandem Free Operation (TFO) in GSM networks enables transmitting voice transparently trough the core network without transcoding. Although TFO has some advantages, such as improvement in speech quality and reduction of delays, it also has many limitations. Transcoder Free Operation (TrFO) is similar to TFO but is employed in the packet-based core networks, such as UMTS. TrFO overcomes some of the TFO limitations. TrFO reduces bandwidth and voice call costs. It increases network capacity and is more robust than TFO. In a UMTS network, when TrFO is not possible, TFO can still be attempted. Interworking of both mechanisms is necessary for mixed GSM/UMTS networks.

Abstract: The phenomenon of social learning is present in human society since ancient times and scientists in that fact see the main reasons for the development of human society. Despite this, eLearning systems do not take advantage of such learning, but are based mainly on the distribution of learning materials and evaluation of knowledge. On the other hand there is undeniable growing popularity of online social communities as well as the application of social software within them. The concept of Community of practice represents an excellent bridge between the education area and social communities. The implementation of eLearning systems that are based on Community of practice is recognized as significant potential that can lead to effective social learning. For this reason, the project Scope is running, project of development Student Community of practice, in order to investigate the effects of social learning and the relationship between technology of social software and eLearning. Scope should provide a learning environment for students and other members of the community where free exchange of knowledge is and providing help between members is stimulated. Through development of Community of practice we expect very significant effects in other areas, especially in the field of e-lance economy and employment of staff. The first results of research conducted within the project Scope are presented in this paper.

Abstract: This paper presents the implementation of an e-course generator. Courses are generated based on three components: learning goals, learning objects and instructional design. The system’s architecture is extensible - it is possible to extend it in order to generate courses in different output format. The result is an automatically generated IMS LD compliant course. The system is implemented in Java programming language

Abstract: Continuous monitoring of an application under production workload provides more valuable data than information obtained using profilers and debuggers. This paper presents one solution of obtained by integrating the Kieker framework into the JBoss application server. We used this solution for profiling distributed Java EE application deployed on multiple JBoss application servers. The recorded data was analyzed using data mining techniques and R programming language.

Abstract: In this paper we analyze the performance of sequential and parallel implementation of matrix vector multiplication algorithm on a multi-chip multi-core multiprocessor. We analyze three different multiprocessors: single-chip multi-core, multi-chip single-core and multi-chip multi-core multiprocessor. The results show that the speed and speedup depends on cache organization of multiprocessors despite the same number of cores. Although Gustafson’s Law limits the speedup for parallel implementation on the number of used processors (CPU cores), we achieved a region for problem size where superlinear speedup (speedup greater than the number of processors) is achieved for each multiprocessor.

Abstract: Abstract-in this paper we propose software architecture of the imprecise geospatial process management system. Position imprecision is modeled as fuzzy point in linear fuzzy space. Imprecise geospatial process is modeled by using object oriented paradigm. Proposed architecture is extensible framework for imprecise geospatial process simulation and management with support to imprecise data.