Abstract: The main goal of genome analysis and DNA motif finding is to explain cell mechanisms and their influence on genetic diseases. The technological advances in the area result in large amount of data that needs to be processed in order to solve these challenges. That is why machine learning is becoming popular for genome analysis and motif discovery in particular. Some example systems that implement machine learning techniques are DeepBind, DeeperBind and DeepMotif. This work’s primary objective is to assess the performance of these systems, examine their usability and behavior on new datasets and provide insights as to what causes the errors systems make. Previous evaluations are available, but do not incorporate neural network systems which are known to achieve the state-of-the-art in other areas. This research aims to address this issue and uses more common systems (e.g. Gibbs Sampler or implementations of the Expectation Maximization algorithm) to establish a baseline.

Abstract: The paper discusses possible system architectures and corresponding deployment models for an IoT-based platform for increasing energy efficiency of end-users and facilitating change in their behaviour in this regard. The main objective is to provide for a flexible and modular architecture able to integrate IoT based monitoring and actuating devices with advance energy services. A brief overview of the most prominent middleware-based architectures capable of providing integration of heterogeneous hardware and software components is followed by the proposed system architecture and deployment model. Finally, a proposal for implementation of architecture building blocks is given through state-of-the art open source solutions.

Abstract: General understanding of possible benefits achieved through implementation of industrial Internet of Things (IoT) solutions, set a clear need to develop new approaches to manage and orchestrate distributed and heterogeneous data and components within an IoT environment. Vf-OS initiative provides FIWARE enabled solutions with focus on the manufacturing domain. The challenge to be addressed here, is on how to instantiate the vf-OS concept to other relevant domain sectors, as the mobility and transportation, in order to provide a full-fledged FIWARE functionality based on Generic Enablers, by reusing and proposing new ones.

Abstract: The expectancy of live has been extended in modern societies becoming a symbol of civilizational progress, with technology supporting medical research and healthcare improvements. In technological domain, diagnosis and monitoring benefit from data collection from the most diverse sources. Along with specific medical equipment, data sources are available in what is becoming a sensor rich environment. The concept of Internet of Things refers to the sensing and communication devices that are becoming pervasive in modern societies. The present work proposes the usage of multiple data sources to support reasoning and decision for people with aging associated health conditions. Beyond ensuring safety and risk avoidance it is aimed to support active aging while stimulating healthy behaviors and social inclusion. The proposed architecture focus on monitoring and reasoning over available data sources to ensure risk assessment and adequate response to health risks internal or in the environment. Beyond risk it is aimed to promote active living, good habits and socialization thus ensuring active aging in daily routines, leisure and work. The proposed framework deploys a coach, or a companion that is always present and manifest only when needed. The decision process reasons based on clinical directives and situation awareness to determine risky situations for a citizen with cognitive vulnerabilities and react according to such reasoning promoting safety for elder citizens and comfort for carers and family thus supporting active and healthy aging for the target population.

Abstract: This paper presents a language and a code generator called WPFGen for C#.NET WPF (Windows Presentation Foundation) applications. WPFGen enables iterative and incremental development providing an environment that supports rapid cycles of specification, code generation, and verification of invoked generated application. Manual changes in code are preserved.

Abstract: This paper focuses on the problem of providing security measures, anomaly detection, and prevention to the emerging IoT environment. We have considered several different categories of machine learning classification algorithms with a goal to estimate the proper choice for network anomaly detection in IoT like environments. The special focus is on SVM and the set of bagging and boosting algorithms, the analysis of their performance and further comparison taking for the reference the modern, IoT like, UNSW-NB15 dataset.

Abstract: In this paper a health monitoring system based on the off the shelf smartwatch and mobile phone is described. The system enables remote monitoring of an elderly person or a patient by measuring the sensor data, available on the smartwatch. Data is sent to the mobile phone, processed, and then sent further to the server application. The caregiver is able to see the measured data like a heart rate or current activity at any time, to send a notification to the patient, or to check the statistics or the history of measured values. In this paper, we describe the implementation and functionalities of such a system and discuss the advantages and shortcomings.

Abstract: In this paper, we present IrrigDSS, a decision support system for site-specific data-driven irrigation scheduling. The solution enables water consumption optimization in a way that maximizes yields and reduces the overall cost of the crop farming. IrrigDSS uses several data sources for building data warehouse database and decision models. Decision models include descriptive and predictive models developed to help farmers in the decision-making process. An interactive graphical user interface provides an insight to the present state of the crops and offers access to the recommendation system for determining the adequate irrigation schedule.

Abstract: Internet of Things (IoT) as a concept provides a possibility of interconnecting different devices and technologies through the Internet. Such diversity of devices and heterogeneity of the communication protocols, data formats and service demands for storage, energy, and availability has imposed a huge set of side effect issues that are becoming the serious stumbling stone in IoT-like system design and management. In this paper we have put interoperability in the center of our attention as one of the most persistent issues, making an effort to enhance the multi-objective cloud computing sustainability assessment framework by providing the necessary level of sustainable interoperability for IoT environments.

Abstract: This paper provides a comprehensive definition of “Internet of Toys” as a new application domain of “Internet of Things” including both sociological and technological aspects. We survey available Internet of Toys architectures from the literature and propose new architecture/framework that will enable interconnection of smart toys into complex entertaining environments capable of exchanging data, learning from experience, and obtaining new insight on children’s cognitive development. Additionally, we determine the challenges inherent to the general Internet of Things, but also those that are specific for the Internet of Toys.

Abstract: The Detection-response task (DRT) is a method for assessing the attentional effects of cognitive load of drivers. Although many studies focusing on the evaluation and the sensitivity of the method have been performed, it is harder to find data on the impact of the method to the driver and his/her driving performance. In this paper, we present a study in which we explore the intrusiveness of the method of all of its versions: visual DRT, tactile DRT, and auditory DRT. We explore possible effects on cognitive distraction, driving performance and secondary task performance (for example operating an in-vehicle device). The results got in the study suggest that DRT does not impose significant additional cognitive load, however it affects driver speed regulations in terms of acceleration deviations, and increases the time need to complete secondary tasks.

Abstract: In this paper will be presented the solution of achieving interoperability between enterprises that together design the software, or one enterprise wants to integrate their software module with software of other enterprise. The idea for this research has appeared after analyzing Conway’s law and Functional Silos. Organizations should put more efforts on communication between people/teams in organizational structure. It is not enough for organization to share knowledge only on vertical axis, the communication on horizontal axis gives more opportunity for achieving common goals of enterprise. While analyzing the Conway’s law and Functional Silos, have think about the solution for achieving interoperability between heterogeneous traffic management software’s which are product of two different companies. The problem of interoperability of this research is when two enterprises want to integrate them software’s. But on one side we have enterprise which have “old fashion” traffic management software based on old software architecture, and on the other side is enterprise which have the traffic management software with new generation of software architecture. The goal is that traffic management system from enterprise 2 communicate and processed data from traffic controllers (devices) from the system of enterprise 1.

Abstract: In this paper we present the novel approach to the application-inspired learning, by introducing GeoGebra as an information technology tool for mathematical education of students of electrical engineering and computer science. GeoGebra applets developed in the concept of application-inspired learning do not require prior knowledge of the information technology students’ and provide lecturers with the ability to customize the presentation according to prepared guidance of students in the learning process.

Abstract: While process of verification of traditional simulation models is well established, fresh approaches are needed for new types of simulation. That is especially the case for simulation of complex systems which have unique properties (emergent behavior, high sensitivity to changes) that can mask faults in code and wrong design. In this paper we deal with such challenge by proposing a conceptual model for verification of complex system simulation. Namely, we suggest that each verification attempt needs to include usage of individual elements checking along with top-down approach to system testing.

Abstract: This paper compares the ITIL with other most familiar methodologies for managing IT services. I carried out a SWOT analysis of the application of ITIL and described additional ITIL research in the sectoral areas. I explained why organizations use ITIL and performed an analysis of using ITIL in teaching in Serbia. I further explained I described the most popular examples of developing own ITIL as well as the best practice in applying ITIL in state-owned organizations. My motivation for researching the application of ITIL lies in looking at the broader aspects of using ITIL as an ITIL lecturer at FTN. The goal of all these analyzes was not to get into the ITIL's guidelines and content, but to investigate and demonstrate in one place all the applications, benefits, possible upgrades of ITIL, and the use of ITIL in theory and practice.

Abstract: Serbia is in the process of creating its national smart specialization strategy (S3), whereas the region of Vojvodina has its strategy already defined. Determined smart specialization sectors are core sectors for innovation and research activities in a region. The aim of authors of this paper is to introduce stakeholders with the existing bottom-up process which is in progress and which should identify sectors of smart specialization, to stress its importance to the future of ICT sector, at national and regional level (Vojvodina) and to provoke information-communication technology (ICT) experts to be involved in process of creation of S3. Key words: smart specialization, innovation, research, ICT

Abstract: With the increasing implementation of Internet-of-Things paradigm, the increase of data volume and diversity threatens to diminish the potentially valuable effects of their reuse in multiple circumstances. While increasing number of datasets, coming from devices or elsewhere is being exposed by using APIs, very few of them is based on the standard dictionaries, data structures and models. For that reason, it becomes very difficult to integrate data of similar or identical semantics, coming from different sources. In this paper, we propose the meta-model for client-side application which aggregates semantically identical or similar data from multiple REST APIs in a single Angular-based widget. Main concepts of the proposed meta-model are data objects, services with defined object and property mappings, use cases and user interface components. Model is implemented in the data integration platform and it is validated in the case of searching data about research projects from two sources. The search widget is implemented on the EURAXESS portals.

Abstract: This article presents totally new system of biometric identification and baby identity guarantee, based on fingerprint minutiae that are formed prenatal at humans. Exclusive, we are presenting qualitative research as proof that baby has fingerprint which can be acquired, stored, encrypted and, above all, it can guarantee its identity. We enrolled testing baby minutiae on every possible type of fingerprint scanners and determine which one is optimal for this purpose. With that we formed hard basic to develop our research further more. This new system can prevent any possible steal or ID replacement in birthplaces, worldwide! In countries such as SAD, Japan, Switzerland that have high level public health it can provide new, higher level, of public health level and give their citizens better health service.

Abstract: The paper presents mapping of CKAN metadata model to CERIF RDF using the X3ML Toolkit. The mapping enables interoperability of CKAN data platforms and virtual research environments based on CERIF format. X3ML Toolkit enables describing schema mappings in such a way that it can be collaboratively created and discussed by metadata format experts.

Abstract: Service oriented architectures have traditionally been using HTTP messages for client-server communication, as well as inter-service communication. However, request-response pattern of HTTP protocol can be inefficient for messaging patterns such as event-driven messaging. The problem arises for architectures that need to introduce new messaging patterns, but already use HTTP. In this paper we present architecture of an adapter that converts HTTP messages into messages of another protocol. Such protocol can use a messaging pattern other than request-response. We cover synchronous request-response, asynchronous request-response and event-driven messaging patterns. The adapter must also allow transition to a new protocol or messaging pattern without affecting service interface definitions and their application logic. We also present an implementation of such architecture and discuss the results.