Abstract-IoT is both a concept and a specific platform with large variety of applications that rapidly become inseparable part of everyday life not only improving it, but making it more interesting and fun. ICT based, it is devoted to interactions with environment that are usually not available with traditional ICT equipment and platforms. IoT is at the same time both complementary and compatible with existing non IoT world, which offers computing power and resources to IoT, making it a unique and powerful combination. Pocket Lab is a relatively new teaching concept that supports students' creativity and initiative allowing for carrying of and experimenting with real equipment at a time and place of choice, much like using of regular text books for studying. Although the IoT & Pocket Labs are not necessarily interconnected or mutually conditioned, this paper discusses such a real case of teaching practice, where the Pocket Labs are used for teaching of IoT. The paper deals with teaching experience of IoT as a university course. Obtained results and experience may be quite general except for university students profile defined with their previous education and knowledge. Besides the main goal of the course which is an introduction to IoT, some other aims were exploring the students' motivation for studying of IoT as a new technology and emphasizing the importance of new original ideas and views being as important as mastering the IoT technologies.

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In engineering education, it is very important to provide solid knowledge and practice to students in order to deal with architectures, mechanisms, and algorithms for the control of processes. In this article we will present the concept, detailed technical requirements, description, implementation, and verification of a process (thermal) trainer. In addition three possible educational tasks will be presented with a developed software infrastructure for the remote control of a laboratory set-up via the Internet.

BackgroundThere are a huge variety of data sources relevant to chemical, biological and pharmacological research, but these data sources are highly siloed and cannot be queried together in a straightforward way. Semantic technologies offer the ability to create links and mappings across datasets and manage them as a single, linked network so that searching can be carried out across datasets, independently of the source. We have developed an application called PIBAS FedSPARQL that uses semantic technologies to allow researchers to carry out such searching across a vast array of data sources.ResultsPIBAS FedSPARQL is a web-based query builder and result set visualizer of bioinformatics data. As an advanced feature, our system can detect similar data items identified by different Uniform Resource Identifiers (URIs), using a text-mining algorithm based on the processing of named entities to be used in Vector Space Model and Cosine Similarity Measures. According to our knowledge, PIBAS FedSPARQL was unique among the systems that we found in that it allows detecting of similar data items. As a query builder, our system allows researchers to intuitively construct and run Federated SPARQL queries across multiple data sources, including global initiatives, such as Bio2RDF, Chem2Bio2RDF, EMBL-EBI, and one local initiative called CPCTAS, as well as additional user-specified data source. From the input topic, subtopic, template and keyword, a corresponding initial Federated SPARQL query is created and executed. Based on the data obtained, end users have the ability to choose the most appropriate data sources in their area of interest and exploit their Resource Description Framework (RDF) structure, which allows users to select certain properties of data to enhance query results.ConclusionsThe developed system is flexible and allows intuitive creation and execution of queries for an extensive range of bioinformatics topics. Also, the novel “similar data items detection” algorithm can be particularly useful for suggesting new data sources and cost optimization for new experiments. PIBAS FedSPARQL can be expanded with new topics, subtopics and templates on demand, rendering information retrieval more robust.

Abstract-The concept of remote laboratories exists for some time with increasing importance for contemporary education in various fields and at various levels. Advance of remote labs is based on technology development and conceptual improvements with possible mutual influences such as when new technologies make new concepts possible. Arduino is a family of small inexpensive single board computers (SBC) based primarily on microcontrollers with added Linux platforms on some boards for improved processing and Internet accessibility. Various shields extend interaction functionality of Arduino boards with environment. Several other brands with quite similar concepts exist, with Arduino as one of very well-known and widespread. Arduino based remote lab concept relies on "Arduino only" implementation which is possible for many not too demanding applications without usual desktop or similar PC platforms. Such concept has many implications like project cheap price, interconnection of boards for more demanding tasks, small consumption, autonomy, small dimensions, low installation requirements, which is suitable for applications at remote locations and applications requiring mobility. Hybrid solutions including Arduino or similar boards combined with other more powerful computer platforms may be optimal for more demanding applications. Programming and application development for Arduino and similar boards are supported by large community of developers and users that provide various libraries, solution examples, forums covering various thematic and application aspects. This paper discusses and presents some hardware and software configurations with Arduino and compatible boards that are used for implementation of experiments in physics and engineering. Although presented remotely operated experiments are different in nature, quite similar hardware and software architectures are used.!!